{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "b5a631da",
   "metadata": {},
   "source": [
    "# Track Pre-release Forecasting Using CM Data Alone\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "cad9b61c",
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip -q install snowflake-connector-python pytest pytest-sugar xgboost langdetect holidays"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "d8e88b2a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Imports comppleted :)\n"
     ]
    }
   ],
   "source": [
    "# main imports\n",
    "import snowflake.connector\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# utils etc\n",
    "from getpass import getpass\n",
    "from absl import logging\n",
    "import re\n",
    "import random\n",
    "import json\n",
    "\n",
    "# tensorflow imports\n",
    "import tensorflow as tf\n",
    "\n",
    "# scikitlearn \n",
    "from sklearn.dummy import DummyRegressor\n",
    "from sklearn.model_selection import KFold\n",
    "# model evaluation metrics\n",
    "from sklearn.metrics import  (\n",
    "    r2_score,\n",
    "    mean_absolute_error,\n",
    "    mean_absolute_percentage_error\n",
    ")\n",
    "\n",
    "from langdetect import detect\n",
    "import holidays\n",
    "from sklearn.compose import ColumnTransformer\n",
    "from sklearn.preprocessing import (\n",
    "    StandardScaler, \n",
    "    OrdinalEncoder,\n",
    "    OneHotEncoder,\n",
    "    FunctionTransformer,\n",
    "    MinMaxScaler\n",
    ")\n",
    "from sklearn import set_config\n",
    "from sklearn.pipeline import (\n",
    "    Pipeline,\n",
    "    FeatureUnion\n",
    ")\n",
    "# covariance and correlation and other stats functions \n",
    "from numpy import cov\n",
    "from scipy.stats import pearsonr\n",
    "from scipy.stats import ttest_ind\n",
    "import dask.dataframe as dd\n",
    "\n",
    "log_level = 'DEBUG'\n",
    "logging.set_verbosity(log_level)\n",
    "print('Imports comppleted :)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "271cdd1e",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_snowflake_creds(username=\"aadamu\", account=\"orchard\",\n",
    "                        warehouse=\"DEV_PERFORMANCE_WAREHOUSE\"):\n",
    "    \"\"\"\n",
    "    Fetches and returns snowflake creds for connecting to snowflake\n",
    "\n",
    "    Please use this within the scope of a function to ensure its memory safe \n",
    "\n",
    "    returns:\n",
    "    - creds (dict) - a dictionary containing user creds\n",
    "\n",
    "    \"\"\"\n",
    "    creds = {\n",
    "        \"user\": getpass('Enter snowflake username : ') or username,\n",
    "        \"password\": getpass('Enter snowflake password : '),\n",
    "        \"account\": \"orchard\",\n",
    "        \"warehouse\": warehouse,\n",
    "        \"protocol\":'https',\n",
    "        \"passcode\": getpass('Enter passcode: ') or None\n",
    "    }\n",
    "    return creds\n",
    "\n",
    "def snowflake_connector_factory(creds=None):\n",
    "    \"\"\"\n",
    "    A Factory for creating snowflake connectors.\n",
    "\n",
    "    This returns the cursor after opening a session with snowflake.\n",
    "\n",
    "    params:\n",
    "        - creds - snowflake credentials \n",
    "\n",
    "    returns:\n",
    "        - cursor - snowflake session cursor\n",
    "    \"\"\"\n",
    "    try:\n",
    "        if creds is None:\n",
    "            _creds = get_snowflake_creds()\n",
    "        else:\n",
    "            _creds = creds\n",
    "        return snowflake.connector.connect(**_creds).cursor()\n",
    "    except Exception as e:\n",
    "        logging.error(f\"Something went wrong - {str(e)}\")\n",
    "\n",
    "\n",
    "def _is_version_number(s):\n",
    "    \"Check and returns true if its a version number\"\n",
    "    return re.search(\"^[0-9][.0-9]*[0-9]$\", s) is not None\n",
    "\n",
    "\n",
    "def test_connection():\n",
    "    \"\"\" tests connection to snowflake \"\"\"\n",
    "    _creds = get_snowflake_creds()\n",
    "    with snowflake_connector_factory(_creds) as cs:\n",
    "        try:\n",
    "            cs.execute(\"SELECT current_version()\")\n",
    "            one_row = cs.fetchone()\n",
    "            # make sure its just one row\n",
    "            assert len(one_row) == 1\n",
    "            # make sure it is a version number\n",
    "            assert _is_version_number(one_row[0])\n",
    "            logging.info(f\"Your snowflake version - {one_row[0]} PASSED!\")\n",
    "        except Exception as e:\n",
    "            logging.error(f\"Something went wrong - {str(e)}\")\n",
    "    \n",
    "\n",
    "def set_env(conn_cursor, warehouse=\"DEV_OWS_WAREHOUSE\", \n",
    "                database=None, \n",
    "                schema=None):\n",
    "        \"\"\" Setups Environment\"\"\"\n",
    "        conn_cursor.execute(f\"USE WAREHOUSE {warehouse};\")\n",
    "        if database:\n",
    "            conn_cursor.execute(f\"USE DATABASE {database};\")\n",
    "        if schema:\n",
    "            conn_cursor.execute(f\"USE SCHEMA {database}.{schema};\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e424be56",
   "metadata": {},
   "source": [
    "## Test Snowflake connection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f1035c3e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# quick test of connection\n",
    "# test_connection()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "97531bc8",
   "metadata": {},
   "source": [
    "## Snowflake SQL Executor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1e52c5d7",
   "metadata": {},
   "outputs": [],
   "source": [
    "def _unpack_cols(description):\n",
    "    try:\n",
    "        cols = list(map(lambda meta: meta[0], description))\n",
    "        return cols\n",
    "    \n",
    "    except Exception as e:\n",
    "        print(f\"Error occured while unpacking cols: {e}\")\n",
    "    return None\n",
    "\n",
    "def execute_sql(conn, sql, limit=None):\n",
    "    \"\"\" Executes SQL and returns data as pandas dataframe \"\"\"\n",
    "    try:\n",
    "        res = conn.execute(sql)\n",
    "        if limit is None:\n",
    "            rows = res.fetchall()\n",
    "        else:\n",
    "            rows = res.fetchmany(limit)\n",
    "        return pd.DataFrame(rows, \n",
    "                            columns=_unpack_cols(res.description))\n",
    "    except Exception as e:\n",
    "        print(f\"Opps...something went wrong. You might need to set snowflake env. {e}\")\n",
    "        \n",
    "def execute_sql_dask(conn, sql, limit=None):\n",
    "    \"\"\" Executes SQL and returns data as pandas dataframe \"\"\"\n",
    "    try:\n",
    "        res = conn.execute(sql)\n",
    "        if limit is None:\n",
    "            rows = res.fetchall()\n",
    "        else:\n",
    "            rows = res.fetchmany(limit)\n",
    "        return dd.from_pandas(pd.DataFrame(rows, \n",
    "                            columns=_unpack_cols(res.description)))\n",
    "    except Exception as e:\n",
    "        print(f\"Opps...something went wrong. You might need to set snowflake env. {e}\")\n",
    "       "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "671ec07f",
   "metadata": {},
   "source": [
    "## Connect to Snowflake"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b1b38fe9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter snowflake username :  \n",
      "Enter snowflake password :  ························································\n",
      "Enter passcode:  \n"
     ]
    }
   ],
   "source": [
    "  # connect to snowflake\n",
    "conn = snowflake_connector_factory()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "b79cd91c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# set snowflake environment\n",
    "set_env(conn_cursor=conn, \n",
    "        warehouse=\"DEV_PERFORMANCE_WAREHOUSE\", \n",
    "        database=\"DEV_ENGINEERING\",\n",
    "        schema = \"AADAMU\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dc813f12",
   "metadata": {},
   "source": [
    "## (1) Exploratory Analysis on CM Data\n",
    "\n",
    "Main Objectives:\n",
    "- Find Modeling action points to use."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "736a4bb4",
   "metadata": {},
   "outputs": [],
   "source": [
    "artist_prev_track_perf_query = \"\"\"SELECT * FROM DEV_ENGINEERING.AADAMU.TRACK_FORECASTING_DATASET_LATEST \n",
    "                                    ORDER BY ARTIST_ID, RELEASE_ID, RELEASE_DATE ASC,  SNAPSHOT_YEAR ASC, SNAPSHOT_ISO_WEEK ASC\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "8027b8f0",
   "metadata": {},
   "outputs": [],
   "source": [
    "# free up memory \n",
    "artist_prev_track_perf_df = None\n",
    "selected_artist_prev_perf_df = None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "d09a71dc",
   "metadata": {},
   "outputs": [],
   "source": [
    "artist_prev_track_perf_df = execute_sql(conn=conn, sql=artist_prev_track_perf_query)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "2c7ea927",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3912882, 33)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "artist_prev_track_perf_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "778b73fe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ARTIST_ID</th>\n",
       "      <th>ARTIST_NAME</th>\n",
       "      <th>RELEASE_ID</th>\n",
       "      <th>RELEASE_NAME</th>\n",
       "      <th>RELEASE_FORMAT</th>\n",
       "      <th>THIRD_PARTY_PUBLISHER</th>\n",
       "      <th>UPC</th>\n",
       "      <th>ISRC</th>\n",
       "      <th>RELEASE_TRACK_NAME</th>\n",
       "      <th>RELEASE_DATE</th>\n",
       "      <th>...</th>\n",
       "      <th>RELEASE_DAY_OF_WEEK_ISO</th>\n",
       "      <th>RELEASE_YEAR</th>\n",
       "      <th>SALES_START_YEAR</th>\n",
       "      <th>AVG_DIFF_RELEASE_SALES_DAYS</th>\n",
       "      <th>AVG_DIFF_RELEASE_SALES_WEEKS</th>\n",
       "      <th>MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_DAYS</th>\n",
       "      <th>MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_WEEKS</th>\n",
       "      <th>TOTAL_STREAMS</th>\n",
       "      <th>TOTAL_SKIPS</th>\n",
       "      <th>TOTAL_SAVES</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>539614</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>Full Length</td>\n",
       "      <td>N</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>QMYLU1900001</td>\n",
       "      <td>Die Rockin</td>\n",
       "      <td>2019-06-14</td>\n",
       "      <td>...</td>\n",
       "      <td>5</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>105.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>200.000</td>\n",
       "      <td>29.000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>539614</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>Full Length</td>\n",
       "      <td>N</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>QMYLU1900001</td>\n",
       "      <td>Die Rockin</td>\n",
       "      <td>2019-06-14</td>\n",
       "      <td>...</td>\n",
       "      <td>5</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>105.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>200.000</td>\n",
       "      <td>29.000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>539614</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>Full Length</td>\n",
       "      <td>N</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>QMYLU1900001</td>\n",
       "      <td>Die Rockin</td>\n",
       "      <td>2019-06-14</td>\n",
       "      <td>...</td>\n",
       "      <td>5</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>105.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>199.000</td>\n",
       "      <td>29.000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>539614</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>Full Length</td>\n",
       "      <td>N</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>QMYLU1900001</td>\n",
       "      <td>Die Rockin</td>\n",
       "      <td>2019-06-14</td>\n",
       "      <td>...</td>\n",
       "      <td>5</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>105.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>200.000</td>\n",
       "      <td>29.000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>539614</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>Full Length</td>\n",
       "      <td>N</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>QMYLU1900001</td>\n",
       "      <td>Die Rockin</td>\n",
       "      <td>2019-06-14</td>\n",
       "      <td>...</td>\n",
       "      <td>5</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>105.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>200.000</td>\n",
       "      <td>29.000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 33 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   ARTIST_ID    ARTIST_NAME    RELEASE_ID   RELEASE_NAME RELEASE_FORMAT  \\\n",
       "0     539614  Whiskey Myers  193483876009  Whiskey Myers    Full Length   \n",
       "1     539614  Whiskey Myers  193483876009  Whiskey Myers    Full Length   \n",
       "2     539614  Whiskey Myers  193483876009  Whiskey Myers    Full Length   \n",
       "3     539614  Whiskey Myers  193483876009  Whiskey Myers    Full Length   \n",
       "4     539614  Whiskey Myers  193483876009  Whiskey Myers    Full Length   \n",
       "\n",
       "  THIRD_PARTY_PUBLISHER           UPC          ISRC RELEASE_TRACK_NAME  \\\n",
       "0                     N  193483876009  QMYLU1900001         Die Rockin   \n",
       "1                     N  193483876009  QMYLU1900001         Die Rockin   \n",
       "2                     N  193483876009  QMYLU1900001         Die Rockin   \n",
       "3                     N  193483876009  QMYLU1900001         Die Rockin   \n",
       "4                     N  193483876009  QMYLU1900001         Die Rockin   \n",
       "\n",
       "  RELEASE_DATE  ... RELEASE_DAY_OF_WEEK_ISO RELEASE_YEAR  SALES_START_YEAR  \\\n",
       "0   2019-06-14  ...                       5         2019              2019   \n",
       "1   2019-06-14  ...                       5         2019              2019   \n",
       "2   2019-06-14  ...                       5         2019              2019   \n",
       "3   2019-06-14  ...                       5         2019              2019   \n",
       "4   2019-06-14  ...                       5         2019              2019   \n",
       "\n",
       "  AVG_DIFF_RELEASE_SALES_DAYS  AVG_DIFF_RELEASE_SALES_WEEKS  \\\n",
       "0                  105.000000                     15.000000   \n",
       "1                  105.000000                     15.000000   \n",
       "2                  105.000000                     15.000000   \n",
       "3                  105.000000                     15.000000   \n",
       "4                  105.000000                     15.000000   \n",
       "\n",
       "  MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_DAYS  \\\n",
       "0                                200.000   \n",
       "1                                200.000   \n",
       "2                                199.000   \n",
       "3                                200.000   \n",
       "4                                200.000   \n",
       "\n",
       "   MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_WEEKS TOTAL_STREAMS TOTAL_SKIPS  \\\n",
       "0                                   29.000           1.0         0.0   \n",
       "1                                   29.000           3.0         0.0   \n",
       "2                                   29.000           1.0         0.0   \n",
       "3                                   29.000           1.0         0.0   \n",
       "4                                   29.000           1.0         0.0   \n",
       "\n",
       "   TOTAL_SAVES  \n",
       "0          0.0  \n",
       "1          0.0  \n",
       "2          0.0  \n",
       "3          0.0  \n",
       "4          0.0  \n",
       "\n",
       "[5 rows x 33 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "artist_prev_track_perf_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ea0a04c2",
   "metadata": {},
   "source": [
    "## Missing Data Handling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "ec6d5d6c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ARTIST_ID                                   0\n",
       "ARTIST_NAME                                 0\n",
       "RELEASE_ID                                  0\n",
       "RELEASE_NAME                                0\n",
       "RELEASE_FORMAT                              0\n",
       "THIRD_PARTY_PUBLISHER                       0\n",
       "UPC                                         0\n",
       "ISRC                                        0\n",
       "RELEASE_TRACK_NAME                          0\n",
       "RELEASE_DATE                                0\n",
       "SALES_START_DATE                            0\n",
       "TRACKNAME                                   0\n",
       "RELEASE_GENREID                             0\n",
       "GENRENAME                                   0\n",
       "FEED_ID                                    24\n",
       "FEEDNAME                                   24\n",
       "STORE_ID                                   24\n",
       "STORENAME                                  24\n",
       "COUNTRY_CODE                               24\n",
       "SNAPSHOT_ISO_WEEK                          24\n",
       "SNAPSHOT_YEAR                              24\n",
       "RELEASE_DATE_ISO_WEEK                       0\n",
       "SALES_START_ISO_WEEK                        0\n",
       "RELEASE_DAY_OF_WEEK_ISO                     0\n",
       "RELEASE_YEAR                                0\n",
       "SALES_START_YEAR                            0\n",
       "AVG_DIFF_RELEASE_SALES_DAYS                 0\n",
       "AVG_DIFF_RELEASE_SALES_WEEKS                0\n",
       "MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_DAYS     24\n",
       "MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_WEEKS    24\n",
       "TOTAL_STREAMS                              24\n",
       "TOTAL_SKIPS                                24\n",
       "TOTAL_SAVES                                24\n",
       "dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "artist_prev_track_perf_df.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "9cb11dee",
   "metadata": {},
   "outputs": [],
   "source": [
    "# drop missing values since they make up such a small amount in our dataset.\n",
    "artist_prev_track_perf_df.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "7d4cd624",
   "metadata": {},
   "outputs": [],
   "source": [
    "artist_prev_track_perf_df = artist_prev_track_perf_df.astype({\"SNAPSHOT_YEAR\": int, \n",
    "                                                              \"SNAPSHOT_ISO_WEEK\": int})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "225e9836",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ARTIST_ID</th>\n",
       "      <th>ARTIST_NAME</th>\n",
       "      <th>RELEASE_ID</th>\n",
       "      <th>RELEASE_NAME</th>\n",
       "      <th>RELEASE_FORMAT</th>\n",
       "      <th>THIRD_PARTY_PUBLISHER</th>\n",
       "      <th>UPC</th>\n",
       "      <th>ISRC</th>\n",
       "      <th>RELEASE_TRACK_NAME</th>\n",
       "      <th>RELEASE_DATE</th>\n",
       "      <th>...</th>\n",
       "      <th>RELEASE_DAY_OF_WEEK_ISO</th>\n",
       "      <th>RELEASE_YEAR</th>\n",
       "      <th>SALES_START_YEAR</th>\n",
       "      <th>AVG_DIFF_RELEASE_SALES_DAYS</th>\n",
       "      <th>AVG_DIFF_RELEASE_SALES_WEEKS</th>\n",
       "      <th>MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_DAYS</th>\n",
       "      <th>MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_WEEKS</th>\n",
       "      <th>TOTAL_STREAMS</th>\n",
       "      <th>TOTAL_SKIPS</th>\n",
       "      <th>TOTAL_SAVES</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>539614</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>Full Length</td>\n",
       "      <td>N</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>QMYLU1900001</td>\n",
       "      <td>Die Rockin</td>\n",
       "      <td>2019-06-14</td>\n",
       "      <td>...</td>\n",
       "      <td>5</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>105.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>200.000</td>\n",
       "      <td>29.000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>539614</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>Full Length</td>\n",
       "      <td>N</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>QMYLU1900001</td>\n",
       "      <td>Die Rockin</td>\n",
       "      <td>2019-06-14</td>\n",
       "      <td>...</td>\n",
       "      <td>5</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>105.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>200.000</td>\n",
       "      <td>29.000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>539614</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>Full Length</td>\n",
       "      <td>N</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>QMYLU1900001</td>\n",
       "      <td>Die Rockin</td>\n",
       "      <td>2019-06-14</td>\n",
       "      <td>...</td>\n",
       "      <td>5</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>105.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>199.000</td>\n",
       "      <td>29.000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>539614</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>Full Length</td>\n",
       "      <td>N</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>QMYLU1900001</td>\n",
       "      <td>Die Rockin</td>\n",
       "      <td>2019-06-14</td>\n",
       "      <td>...</td>\n",
       "      <td>5</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>105.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>200.000</td>\n",
       "      <td>29.000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>539614</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>Full Length</td>\n",
       "      <td>N</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>QMYLU1900001</td>\n",
       "      <td>Die Rockin</td>\n",
       "      <td>2019-06-14</td>\n",
       "      <td>...</td>\n",
       "      <td>5</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>105.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>200.000</td>\n",
       "      <td>29.000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 33 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   ARTIST_ID    ARTIST_NAME    RELEASE_ID   RELEASE_NAME RELEASE_FORMAT  \\\n",
       "0     539614  Whiskey Myers  193483876009  Whiskey Myers    Full Length   \n",
       "1     539614  Whiskey Myers  193483876009  Whiskey Myers    Full Length   \n",
       "2     539614  Whiskey Myers  193483876009  Whiskey Myers    Full Length   \n",
       "3     539614  Whiskey Myers  193483876009  Whiskey Myers    Full Length   \n",
       "4     539614  Whiskey Myers  193483876009  Whiskey Myers    Full Length   \n",
       "\n",
       "  THIRD_PARTY_PUBLISHER           UPC          ISRC RELEASE_TRACK_NAME  \\\n",
       "0                     N  193483876009  QMYLU1900001         Die Rockin   \n",
       "1                     N  193483876009  QMYLU1900001         Die Rockin   \n",
       "2                     N  193483876009  QMYLU1900001         Die Rockin   \n",
       "3                     N  193483876009  QMYLU1900001         Die Rockin   \n",
       "4                     N  193483876009  QMYLU1900001         Die Rockin   \n",
       "\n",
       "  RELEASE_DATE  ... RELEASE_DAY_OF_WEEK_ISO RELEASE_YEAR  SALES_START_YEAR  \\\n",
       "0   2019-06-14  ...                       5         2019              2019   \n",
       "1   2019-06-14  ...                       5         2019              2019   \n",
       "2   2019-06-14  ...                       5         2019              2019   \n",
       "3   2019-06-14  ...                       5         2019              2019   \n",
       "4   2019-06-14  ...                       5         2019              2019   \n",
       "\n",
       "  AVG_DIFF_RELEASE_SALES_DAYS  AVG_DIFF_RELEASE_SALES_WEEKS  \\\n",
       "0                  105.000000                     15.000000   \n",
       "1                  105.000000                     15.000000   \n",
       "2                  105.000000                     15.000000   \n",
       "3                  105.000000                     15.000000   \n",
       "4                  105.000000                     15.000000   \n",
       "\n",
       "  MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_DAYS  \\\n",
       "0                                200.000   \n",
       "1                                200.000   \n",
       "2                                199.000   \n",
       "3                                200.000   \n",
       "4                                200.000   \n",
       "\n",
       "   MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_WEEKS TOTAL_STREAMS TOTAL_SKIPS  \\\n",
       "0                                   29.000           1.0         0.0   \n",
       "1                                   29.000           3.0         0.0   \n",
       "2                                   29.000           1.0         0.0   \n",
       "3                                   29.000           1.0         0.0   \n",
       "4                                   29.000           1.0         0.0   \n",
       "\n",
       "   TOTAL_SAVES  \n",
       "0          0.0  \n",
       "1          0.0  \n",
       "2          0.0  \n",
       "3          0.0  \n",
       "4          0.0  \n",
       "\n",
       "[5 rows x 33 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "artist_prev_track_perf_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ca49ca32",
   "metadata": {},
   "source": [
    "### Add Some additioal columns \n",
    "- SNAPSHOT_YEAR_ISOWEEK \n",
    "- Holidays\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "e7f53719",
   "metadata": {},
   "outputs": [],
   "source": [
    "def add_additional_features(df):\n",
    "    df['SNAPSHOT_YEAR_ISOWEEK'] = df.apply(lambda row: '{}-{}'.format(row['SNAPSHOT_YEAR'], row['SNAPSHOT_ISO_WEEK']), axis=1)\n",
    "    df['HOLIDAY_CHRISTMAS'] = df.apply(lambda row: row['SNAPSHOT_ISO_WEEK'] == 52, axis=1)\n",
    "    \n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "b626d387",
   "metadata": {},
   "outputs": [],
   "source": [
    "artist_prev_track_perf_df = add_additional_features(df=artist_prev_track_perf_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ad3acbfb",
   "metadata": {},
   "source": [
    "## Plotting helpers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "6701a11b",
   "metadata": {},
   "outputs": [],
   "source": [
    "from collections import Counter\n",
    "\n",
    "def plot_random_track_performance_from_artist(df, artist_id, \n",
    "                                                  track_sample_size=4, \n",
    "                                                  x='SNAPSHOT_YEAR_ISOWEEK',\n",
    "                                                  y='TOTAL_STREAMS',\n",
    "                                                  sort_by=['SNAPSHOT_YEAR_ISOWEEK'],\n",
    "                                                  country_code='US'\n",
    "                                                 ):\n",
    "    \"\"\"\n",
    "        Plots random track performance over time for an artist\n",
    "        \n",
    "        params:\n",
    "            df (pandas DataFrame) - dataframe to pull datafrom for plots\n",
    "            isrc (string) - isrc identifier for the track to plot \n",
    "    \"\"\"\n",
    "    \n",
    "    # grid size\n",
    "    grid_size = int(np.floor(np.sqrt(track_sample_size)))\n",
    "    \n",
    "    # get artist data\n",
    "    artist_prev_perf_df = df[(df['ARTIST_ID'] == artist_id)]\n",
    "    # sample random tracks from artist\n",
    "    tracks = list(Counter(artist_prev_perf_df['ISRC']).keys())\n",
    "    \n",
    "    if track_sample_size > 3:\n",
    "        tracks_samples = random.sample(tracks, k=track_sample_size) \n",
    "    else:\n",
    "        tracks_samples = tracks\n",
    "    print(f'TRACK SAMPLE : {tracks_samples}')\n",
    "    \n",
    "    # do plots\n",
    "    # make subplots as grid - if sample size is big enough\n",
    "    if track_sample_size <= 3:\n",
    "        fig, axes = plt.subplots(1, track_sample_size, figsize=(30, 30))\n",
    "        for x_i in range(track_sample_size):\n",
    "            _track_isrc = tracks_samples[x_i]\n",
    "            _df = df[(df['ISRC'] == _track_isrc)]\n",
    "            _agg_perf = _df.groupby([x, 'ISRC']).sum().reset_index()\n",
    "            sns.lineplot(ax=axes[x_i], data=_agg_perf, x=x, y=y, ci=None)\n",
    "            axes[x_i].set_title(f\"ISRC: {_track_isrc}\")\n",
    "            axes[x_i].tick_params(labelrotation=90)\n",
    "            \n",
    "            if country_code is not None:\n",
    "                _df = df[(df['ISRC'] == _track_isrc) & (df['COUNTRY_CODE'] == country_code)]\n",
    "                _agg_perf = _df.groupby([x, 'ISRC', 'COUNTRY_CODE']).sum().reset_index()\n",
    "                sns.lineplot(ax=axes[x_i], data=_agg_perf, x=x, y=y, ci=None)\n",
    "                \n",
    "                \n",
    "    else: # do grid plot\n",
    "        fig, axes = plt.subplots(grid_size, grid_size, figsize=(30, 30))\n",
    "        track_ptr = 0\n",
    "        for x_i in range(grid_size):\n",
    "            for y_i in range(grid_size):\n",
    "                _track_isrc = tracks_samples[track_ptr]\n",
    "                _df = df[(df['ISRC'] == _track_isrc)]\n",
    "                _agg_perf = _df.groupby([x, 'ISRC']).sum().reset_index()\n",
    "                sns.lineplot(ax=axes[x_i, y_i], data=_agg_perf, x=x, y=y, ci=None)\n",
    "                axes[x_i,y_i].set_title(f\"ISRC: {_track_isrc}\")\n",
    "                axes[x_i,y_i].tick_params(labelrotation=90)\n",
    "                track_ptr += 1\n",
    "                \n",
    "                if country_code is not None:\n",
    "                    _df = df[(df['ISRC'] == _track_isrc) & (df['COUNTRY_CODE'] == country_code)]\n",
    "                    _agg_perf = _df.groupby([x, 'ISRC', 'COUNTRY_CODE']).sum().reset_index()\n",
    "                    sns.lineplot(ax=axes[x_i, y_i], data=_agg_perf, x=x, y=y, ci=None)\n",
    "    fig.suptitle(f'SAMPLE TRACK PERFORMANCE - ARTIST ID : {artist_id}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "840d5a91",
   "metadata": {},
   "source": [
    "### Unique Artists"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "d7d55088",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Counter({'Whiskey Myers': 1028341,\n",
       "         'Czarface': 1961677,\n",
       "         'Devil Master': 313426,\n",
       "         'Millyz': 598869,\n",
       "         'Ted Nugent': 9142,\n",
       "         'Easton Corbin': 1403})"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Counter(artist_prev_track_perf_df['ARTIST_NAME'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "88ee8b5d",
   "metadata": {},
   "outputs": [],
   "source": [
    "artist_prev_track_perf_df['ROW_COUNT'] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "b835f72d",
   "metadata": {},
   "outputs": [],
   "source": [
    "releases_by_arist_df = artist_prev_track_perf_df[['ARTIST_ID','ARTIST_NAME', 'RELEASE_ID', 'RELEASE_NAME', 'ROW_COUNT']] \\\n",
    "                        .groupby(['ARTIST_ID','ARTIST_NAME', 'RELEASE_ID', 'RELEASE_NAME']) \\\n",
    "                        .sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "18d2c5a0",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>ROW_COUNT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ARTIST_ID</th>\n",
       "      <th>ARTIST_NAME</th>\n",
       "      <th>RELEASE_ID</th>\n",
       "      <th>RELEASE_NAME</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">539614</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">Whiskey Myers</th>\n",
       "      <th>193483876009</th>\n",
       "      <th>Whiskey Myers</th>\n",
       "      <td>263705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193483888644</th>\n",
       "      <th>Die Rockin</th>\n",
       "      <td>14626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193483888651</th>\n",
       "      <th>Rolling Stone</th>\n",
       "      <td>12943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193483888668</th>\n",
       "      <th>Bury My Bones</th>\n",
       "      <td>16658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193483888675</th>\n",
       "      <th>Gasoline</th>\n",
       "      <td>16044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1539265</th>\n",
       "      <th>Millyz</th>\n",
       "      <th>196626756947</th>\n",
       "      <th>Blanco 5</th>\n",
       "      <td>2186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">2549794</th>\n",
       "      <th rowspan=\"3\" valign=\"top\">Ted Nugent</th>\n",
       "      <th>196292668254</th>\n",
       "      <th>Come and Take It</th>\n",
       "      <td>3013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196292681284</th>\n",
       "      <th>Detroit Muscle</th>\n",
       "      <td>4571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196626104830</th>\n",
       "      <th>American Campfire</th>\n",
       "      <td>1558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2592973</th>\n",
       "      <th>Easton Corbin</th>\n",
       "      <th>196626363589</th>\n",
       "      <th>Marry That Girl</th>\n",
       "      <td>1403</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>78 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                        ROW_COUNT\n",
       "ARTIST_ID ARTIST_NAME   RELEASE_ID   RELEASE_NAME                \n",
       "539614    Whiskey Myers 193483876009 Whiskey Myers         263705\n",
       "                        193483888644 Die Rockin             14626\n",
       "                        193483888651 Rolling Stone          12943\n",
       "                        193483888668 Bury My Bones          16658\n",
       "                        193483888675 Gasoline               16044\n",
       "...                                                           ...\n",
       "1539265   Millyz        196626756947 Blanco 5                2186\n",
       "2549794   Ted Nugent    196292668254 Come and Take It        3013\n",
       "                        196292681284 Detroit Muscle          4571\n",
       "                        196626104830 American Campfire       1558\n",
       "2592973   Easton Corbin 196626363589 Marry That Girl         1403\n",
       "\n",
       "[78 rows x 1 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "releases_by_arist_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e2300959",
   "metadata": {},
   "source": [
    "### Whiskey Myers (539614)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "ee7d167f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# get one artist\n",
    "whiskey_myers_id = 539614 \n",
    "selected_artist_prev_perf_df = artist_prev_track_perf_df[artist_prev_track_perf_df['ARTIST_ID'] == whiskey_myers_id]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "d4d6420b",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ARTIST_ID</th>\n",
       "      <th>ARTIST_NAME</th>\n",
       "      <th>RELEASE_ID</th>\n",
       "      <th>RELEASE_NAME</th>\n",
       "      <th>RELEASE_FORMAT</th>\n",
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       "      <th>UPC</th>\n",
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       "      <th>RELEASE_TRACK_NAME</th>\n",
       "      <th>RELEASE_DATE</th>\n",
       "      <th>...</th>\n",
       "      <th>AVG_DIFF_RELEASE_SALES_DAYS</th>\n",
       "      <th>AVG_DIFF_RELEASE_SALES_WEEKS</th>\n",
       "      <th>MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_DAYS</th>\n",
       "      <th>MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_WEEKS</th>\n",
       "      <th>TOTAL_STREAMS</th>\n",
       "      <th>TOTAL_SKIPS</th>\n",
       "      <th>TOTAL_SAVES</th>\n",
       "      <th>SNAPSHOT_YEAR_ISOWEEK</th>\n",
       "      <th>HOLIDAY_CHRISTMAS</th>\n",
       "      <th>ROW_COUNT</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>539614</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>Full Length</td>\n",
       "      <td>N</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>QMYLU1900001</td>\n",
       "      <td>Die Rockin</td>\n",
       "      <td>2019-06-14</td>\n",
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       "      <td>105.000000</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>2019-1</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>539614</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>Full Length</td>\n",
       "      <td>N</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>QMYLU1900001</td>\n",
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       "      <td>539614</td>\n",
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       "      <td>193483876009</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>Full Length</td>\n",
       "      <td>N</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>QMYLU1900001</td>\n",
       "      <td>Die Rockin</td>\n",
       "      <td>2019-06-14</td>\n",
       "      <td>...</td>\n",
       "      <td>105.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>199.000</td>\n",
       "      <td>29.000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019-1</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>539614</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>Full Length</td>\n",
       "      <td>N</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>QMYLU1900001</td>\n",
       "      <td>Die Rockin</td>\n",
       "      <td>2019-06-14</td>\n",
       "      <td>...</td>\n",
       "      <td>105.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>200.000</td>\n",
       "      <td>29.000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019-1</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>539614</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>Full Length</td>\n",
       "      <td>N</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>QMYLU1900001</td>\n",
       "      <td>Die Rockin</td>\n",
       "      <td>2019-06-14</td>\n",
       "      <td>...</td>\n",
       "      <td>105.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>200.000</td>\n",
       "      <td>29.000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>1028338</th>\n",
       "      <td>539614</td>\n",
       "      <td>Whiskey Myers</td>\n",
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       "      <td>N</td>\n",
       "      <td>886446012254</td>\n",
       "      <td>QMYLU1500005</td>\n",
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       "      <td>71.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>2022-52</td>\n",
       "      <td>True</td>\n",
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       "    <tr>\n",
       "      <th>1028339</th>\n",
       "      <td>539614</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>886446012254</td>\n",
       "      <td>Stone</td>\n",
       "      <td>Single</td>\n",
       "      <td>N</td>\n",
       "      <td>886446012254</td>\n",
       "      <td>QMYLU1500005</td>\n",
       "      <td>Stone</td>\n",
       "      <td>2016-08-19</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>7.0</td>\n",
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       "      <td>2022-52</td>\n",
       "      <td>True</td>\n",
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       "    <tr>\n",
       "      <th>1028340</th>\n",
       "      <td>539614</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>886446012254</td>\n",
       "      <td>Stone</td>\n",
       "      <td>Single</td>\n",
       "      <td>N</td>\n",
       "      <td>886446012254</td>\n",
       "      <td>QMYLU1500005</td>\n",
       "      <td>Stone</td>\n",
       "      <td>2016-08-19</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>280.000</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2022-52</td>\n",
       "      <td>True</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1028341</th>\n",
       "      <td>539614</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>886446012254</td>\n",
       "      <td>Stone</td>\n",
       "      <td>Single</td>\n",
       "      <td>N</td>\n",
       "      <td>886446012254</td>\n",
       "      <td>QMYLU1500005</td>\n",
       "      <td>Stone</td>\n",
       "      <td>2016-08-19</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1961.000</td>\n",
       "      <td>280.000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2022-52</td>\n",
       "      <td>True</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1028342</th>\n",
       "      <td>539614</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>886446012254</td>\n",
       "      <td>Stone</td>\n",
       "      <td>Single</td>\n",
       "      <td>N</td>\n",
       "      <td>886446012254</td>\n",
       "      <td>QMYLU1500005</td>\n",
       "      <td>Stone</td>\n",
       "      <td>2016-08-19</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1962.000</td>\n",
       "      <td>280.000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2022-52</td>\n",
       "      <td>True</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1028341 rows × 36 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         ARTIST_ID    ARTIST_NAME    RELEASE_ID   RELEASE_NAME RELEASE_FORMAT  \\\n",
       "0           539614  Whiskey Myers  193483876009  Whiskey Myers    Full Length   \n",
       "1           539614  Whiskey Myers  193483876009  Whiskey Myers    Full Length   \n",
       "2           539614  Whiskey Myers  193483876009  Whiskey Myers    Full Length   \n",
       "3           539614  Whiskey Myers  193483876009  Whiskey Myers    Full Length   \n",
       "4           539614  Whiskey Myers  193483876009  Whiskey Myers    Full Length   \n",
       "...            ...            ...           ...            ...            ...   \n",
       "1028338     539614  Whiskey Myers  886446012254          Stone         Single   \n",
       "1028339     539614  Whiskey Myers  886446012254          Stone         Single   \n",
       "1028340     539614  Whiskey Myers  886446012254          Stone         Single   \n",
       "1028341     539614  Whiskey Myers  886446012254          Stone         Single   \n",
       "1028342     539614  Whiskey Myers  886446012254          Stone         Single   \n",
       "\n",
       "        THIRD_PARTY_PUBLISHER           UPC          ISRC RELEASE_TRACK_NAME  \\\n",
       "0                           N  193483876009  QMYLU1900001         Die Rockin   \n",
       "1                           N  193483876009  QMYLU1900001         Die Rockin   \n",
       "2                           N  193483876009  QMYLU1900001         Die Rockin   \n",
       "3                           N  193483876009  QMYLU1900001         Die Rockin   \n",
       "4                           N  193483876009  QMYLU1900001         Die Rockin   \n",
       "...                       ...           ...           ...                ...   \n",
       "1028338                     N  886446012254  QMYLU1500005              Stone   \n",
       "1028339                     N  886446012254  QMYLU1500005              Stone   \n",
       "1028340                     N  886446012254  QMYLU1500005              Stone   \n",
       "1028341                     N  886446012254  QMYLU1500005              Stone   \n",
       "1028342                     N  886446012254  QMYLU1500005              Stone   \n",
       "\n",
       "        RELEASE_DATE  ... AVG_DIFF_RELEASE_SALES_DAYS  \\\n",
       "0         2019-06-14  ...                  105.000000   \n",
       "1         2019-06-14  ...                  105.000000   \n",
       "2         2019-06-14  ...                  105.000000   \n",
       "3         2019-06-14  ...                  105.000000   \n",
       "4         2019-06-14  ...                  105.000000   \n",
       "...              ...  ...                         ...   \n",
       "1028338   2016-08-19  ...                    0.000000   \n",
       "1028339   2016-08-19  ...                    0.000000   \n",
       "1028340   2016-08-19  ...                    0.000000   \n",
       "1028341   2016-08-19  ...                    0.000000   \n",
       "1028342   2016-08-19  ...                    0.000000   \n",
       "\n",
       "        AVG_DIFF_RELEASE_SALES_WEEKS  MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_DAYS  \\\n",
       "0                          15.000000                                 200.000   \n",
       "1                          15.000000                                 200.000   \n",
       "2                          15.000000                                 199.000   \n",
       "3                          15.000000                                 200.000   \n",
       "4                          15.000000                                 200.000   \n",
       "...                              ...                                     ...   \n",
       "1028338                     0.000000                                1961.500   \n",
       "1028339                     0.000000                                1961.500   \n",
       "1028340                     0.000000                                1961.500   \n",
       "1028341                     0.000000                                1961.000   \n",
       "1028342                     0.000000                                1962.000   \n",
       "\n",
       "        MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_WEEKS  TOTAL_STREAMS TOTAL_SKIPS  \\\n",
       "0                                        29.000            1.0         0.0   \n",
       "1                                        29.000            3.0         0.0   \n",
       "2                                        29.000            1.0         0.0   \n",
       "3                                        29.000            1.0         0.0   \n",
       "4                                        29.000            1.0         0.0   \n",
       "...                                         ...            ...         ...   \n",
       "1028338                                 280.000          173.0        71.0   \n",
       "1028339                                 280.000            7.0         1.0   \n",
       "1028340                                 280.000            4.0         2.0   \n",
       "1028341                                 280.000            1.0         0.0   \n",
       "1028342                                 280.000            1.0         0.0   \n",
       "\n",
       "         TOTAL_SAVES SNAPSHOT_YEAR_ISOWEEK HOLIDAY_CHRISTMAS  ROW_COUNT  \n",
       "0                0.0                2019-1             False          1  \n",
       "1                0.0                2019-1             False          1  \n",
       "2                0.0                2019-1             False          1  \n",
       "3                0.0                2019-1             False          1  \n",
       "4                0.0                2019-1             False          1  \n",
       "...              ...                   ...               ...        ...  \n",
       "1028338         16.0               2022-52              True          1  \n",
       "1028339          0.0               2022-52              True          1  \n",
       "1028340          1.0               2022-52              True          1  \n",
       "1028341          0.0               2022-52              True          1  \n",
       "1028342          0.0               2022-52              True          1  \n",
       "\n",
       "[1028341 rows x 36 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "selected_artist_prev_perf_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "1700b517",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['ARTIST_ID', 'ARTIST_NAME', 'RELEASE_ID', 'RELEASE_NAME',\n",
       "       'RELEASE_FORMAT', 'THIRD_PARTY_PUBLISHER', 'UPC', 'ISRC',\n",
       "       'RELEASE_TRACK_NAME', 'RELEASE_DATE', 'SALES_START_DATE', 'TRACKNAME',\n",
       "       'RELEASE_GENREID', 'GENRENAME', 'FEED_ID', 'FEEDNAME', 'STORE_ID',\n",
       "       'STORENAME', 'COUNTRY_CODE', 'SNAPSHOT_ISO_WEEK', 'SNAPSHOT_YEAR',\n",
       "       'RELEASE_DATE_ISO_WEEK', 'SALES_START_ISO_WEEK',\n",
       "       'RELEASE_DAY_OF_WEEK_ISO', 'RELEASE_YEAR', 'SALES_START_YEAR',\n",
       "       'AVG_DIFF_RELEASE_SALES_DAYS', 'AVG_DIFF_RELEASE_SALES_WEEKS',\n",
       "       'MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_DAYS',\n",
       "       'MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_WEEKS', 'TOTAL_STREAMS',\n",
       "       'TOTAL_SKIPS', 'TOTAL_SAVES', 'SNAPSHOT_YEAR_ISOWEEK',\n",
       "       'HOLIDAY_CHRISTMAS', 'ROW_COUNT'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "selected_artist_prev_perf_df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ee4920c4",
   "metadata": {},
   "source": [
    "#### Myers Previously Tracks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "9d80bbe8",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RELEASE_NAME</th>\n",
       "      <th>ISRC</th>\n",
       "      <th>RELEASE_TRACK_NAME</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Antioch</th>\n",
       "      <th>QMYLU2100003</th>\n",
       "      <th>Antioch</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bitch</th>\n",
       "      <th>QMYLU1900004</th>\n",
       "      <th>Bitch</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bury My Bones</th>\n",
       "      <th>QMYLU1900006</th>\n",
       "      <th>Bury My Bones</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Die Rockin</th>\n",
       "      <th>QMYLU1900001</th>\n",
       "      <th>Die Rockin</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Early Morning Shakes</th>\n",
       "      <th>QMYLU1300001</th>\n",
       "      <th>Early Morning Shakes</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Whiskey Myers</th>\n",
       "      <th>QMYLU1900010</th>\n",
       "      <th>California to Caroline</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>QMYLU1900011</th>\n",
       "      <th>Kentucky Gold</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>QMYLU1900012</th>\n",
       "      <th>Running</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>QMYLU1900013</th>\n",
       "      <th>Hammer</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>QMYLU1900014</th>\n",
       "      <th>Bad Weather</th>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>64 rows × 0 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: []\n",
       "Index: [(Antioch, QMYLU2100003, Antioch), (Bitch, QMYLU1900004, Bitch), (Bury My Bones, QMYLU1900006, Bury My Bones), (Die Rockin, QMYLU1900001, Die Rockin), (Early Morning Shakes, QMYLU1300001, Early Morning Shakes), (Early Morning Shakes, QMYLU1300002, Hard Row to Hoe), (Early Morning Shakes, QMYLU1300003, Dogwood), (Early Morning Shakes, QMYLU1300004, Shelter from the Rain), (Early Morning Shakes, QMYLU1300005, Home), (Early Morning Shakes, QMYLU1300006, Headstone), (Early Morning Shakes, QMYLU1300007, Where the Sun Don't Shine), (Early Morning Shakes, QMYLU1300008, Reckoning), (Early Morning Shakes, QMYLU1300009, Wild Baby Shake Me), (Early Morning Shakes, QMYLU1300010, Lightning), (Early Morning Shakes, QMYLU1300011, Need a Little Time off for Bad Behavior), (Early Morning Shakes, QMYLU1300012, Colloquy), (Firewater, US2761001049, Bar, Guitar and a Honky Tonk Crowd), (Firewater, US2761001050, Guitar Picker), (Firewater, US2761001051, Ballad Of A Southern Man), (Firewater, US2761001052, Calm Before The Storm), (Firewater, US2761001053, Broken Window Serenade), (Firewater, US2761001054, Different Mold), (Firewater, US2761001055, Turn It Up), (Firewater, US2761001056, Virginia), (Firewater, US2761001057, Anna Marie), (Firewater, US2761001058, How Far), (Firewater, US2761001059, Strange Dreams), (Firewater, US2761001060, Song For You), (Gasoline, QMYLU1900005, Gasoline), (Home, QMYLU1300005, Home), (Houston County Sky, QMYLU1900008, Houston County Sky), (John Wayne, QMYLU2100001, Tornillo), (John Wayne, QMYLU2100002, John Wayne), (Lightning Bugs and Rain, QMYLU1500003, Lightning Bugs and Rain), (Mud, QMYLU1500001, On the River), (Mud, QMYLU1500002, Mud), (Mud, QMYLU1500003, Lightning Bugs and Rain), (Mud, QMYLU1500004, Deep Down in the South), (Mud, QMYLU1500005, Stone), (Mud, QMYLU1500006, Trailer We Call Home), (Mud, QMYLU1500007, Some of Your Love), (Mud, QMYLU1500008, Frogman), (Mud, QMYLU1500009, Hank), (Mud, QMYLU1500010, Good Ole Days (feat. Brent Cobb)), (Rolling Stone, QMYLU1900003, Rolling Stone), (Some of Your Love, QMYLU1500007, Some of Your Love), (Stone, QMYLU1500005, Stone), (Tornillo, QMYLU2100001, Tornillo), (Tornillo, QMYLU2100002, John Wayne), (Tornillo, QMYLU2100003, Antioch), (Whiskey Myers, QMYLU1900001, Die Rockin), (Whiskey Myers, QMYLU1900002, Mona Lisa), (Whiskey Myers, QMYLU1900003, Rolling Stone), (Whiskey Myers, QMYLU1900004, Bitch), (Whiskey Myers, QMYLU1900005, Gasoline), (Whiskey Myers, QMYLU1900006, Bury My Bones), (Whiskey Myers, QMYLU1900007, Glitter Ain't Gold), (Whiskey Myers, QMYLU1900008, Houston County Sky), (Whiskey Myers, QMYLU1900009, Little More Money), (Whiskey Myers, QMYLU1900010, California to Caroline), (Whiskey Myers, QMYLU1900011, Kentucky Gold), (Whiskey Myers, QMYLU1900012, Running), (Whiskey Myers, QMYLU1900013, Hammer), (Whiskey Myers, QMYLU1900014, Bad Weather)]\n",
       "\n",
       "[64 rows x 0 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cols = ['RELEASE_NAME', 'ISRC','RELEASE_TRACK_NAME']\n",
    "selected_artist_prev_perf_df[cols].groupby(cols).sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bf8aa592",
   "metadata": {},
   "source": [
    "#### Myers Previously Tracks (First week Performance)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "f82bc8e1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>TOTAL_STREAMS</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RELEASE_ID</th>\n",
       "      <th>RELEASE_NAME</th>\n",
       "      <th>RELEASE_DATE</th>\n",
       "      <th>ISRC</th>\n",
       "      <th>TRACKNAME</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>886444239271</th>\n",
       "      <th>Home</th>\n",
       "      <th>2013-10-08</th>\n",
       "      <th>QMYLU1300005</th>\n",
       "      <th>Home</th>\n",
       "      <td>2105.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>886444410212</th>\n",
       "      <th>Early Morning Shakes</th>\n",
       "      <th>2014-01-21</th>\n",
       "      <th>QMYLU1300001</th>\n",
       "      <th>Early Morning Shakes</th>\n",
       "      <td>2214.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">886444396097</th>\n",
       "      <th rowspan=\"3\" valign=\"top\">Early Morning Shakes</th>\n",
       "      <th rowspan=\"3\" valign=\"top\">2014-02-04</th>\n",
       "      <th>QMYLU1300012</th>\n",
       "      <th>Colloquy</th>\n",
       "      <td>2428.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>QMYLU1300011</th>\n",
       "      <th>Need a Little Time off for Bad Behavior</th>\n",
       "      <td>2364.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>QMYLU1300010</th>\n",
       "      <th>Lightning</th>\n",
       "      <td>2618.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196626311351</th>\n",
       "      <th>John Wayne</th>\n",
       "      <th>2022-02-18</th>\n",
       "      <th>QMYLU2100002</th>\n",
       "      <th>John Wayne</th>\n",
       "      <td>348464.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196626323057</th>\n",
       "      <th>Tornillo</th>\n",
       "      <th>2022-02-18</th>\n",
       "      <th>QMYLU2100001</th>\n",
       "      <th>Tornillo</th>\n",
       "      <td>112609.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196626316356</th>\n",
       "      <th>Antioch</th>\n",
       "      <th>2022-03-25</th>\n",
       "      <th>QMYLU2100003</th>\n",
       "      <th>Antioch</th>\n",
       "      <td>183317.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196626323057</th>\n",
       "      <th>Tornillo</th>\n",
       "      <th>2022-03-25</th>\n",
       "      <th>QMYLU2100003</th>\n",
       "      <th>Antioch</th>\n",
       "      <td>183317.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196626316530</th>\n",
       "      <th>Antioch</th>\n",
       "      <th>2022-03-25</th>\n",
       "      <th>QMYLU2100003</th>\n",
       "      <th>Antioch</th>\n",
       "      <td>183317.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>67 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                                     TOTAL_STREAMS\n",
       "RELEASE_ID   RELEASE_NAME         RELEASE_DATE ISRC         TRACKNAME                                             \n",
       "886444239271 Home                 2013-10-08   QMYLU1300005 Home                                            2105.0\n",
       "886444410212 Early Morning Shakes 2014-01-21   QMYLU1300001 Early Morning Shakes                            2214.0\n",
       "886444396097 Early Morning Shakes 2014-02-04   QMYLU1300012 Colloquy                                        2428.0\n",
       "                                               QMYLU1300011 Need a Little Time off for Bad Behavior         2364.0\n",
       "                                               QMYLU1300010 Lightning                                       2618.0\n",
       "...                                                                                                            ...\n",
       "196626311351 John Wayne           2022-02-18   QMYLU2100002 John Wayne                                    348464.0\n",
       "196626323057 Tornillo             2022-02-18   QMYLU2100001 Tornillo                                      112609.0\n",
       "196626316356 Antioch              2022-03-25   QMYLU2100003 Antioch                                       183317.0\n",
       "196626323057 Tornillo             2022-03-25   QMYLU2100003 Antioch                                       183317.0\n",
       "196626316530 Antioch              2022-03-25   QMYLU2100003 Antioch                                       183317.0\n",
       "\n",
       "[67 rows x 1 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cols = ['RELEASE_ID','RELEASE_NAME', 'RELEASE_DATE', 'ISRC','TRACKNAME']\n",
    "selected_artist_prev_perf_df[\n",
    "    (selected_artist_prev_perf_df['SNAPSHOT_ISO_WEEK'] == selected_artist_prev_perf_df['RELEASE_DATE_ISO_WEEK']) & \\\n",
    "    (selected_artist_prev_perf_df['SNAPSHOT_YEAR'] == selected_artist_prev_perf_df['RELEASE_YEAR'])\n",
    "              ][cols + ['TOTAL_STREAMS'] ].groupby(cols).sum().sort_values(by=['RELEASE_DATE'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4ae76cf2",
   "metadata": {},
   "source": [
    "#### Myers Previous Tracks Performance (Random Sample of 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "169bddbb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TRACK SAMPLE : ['QMYLU1900002', 'QMYLU1500001', 'QMYLU1500005', 'QMYLU1300012']\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x2160 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_random_track_performance_from_artist(df=artist_prev_track_perf_df, artist_id=whiskey_myers_id)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "9abc8f82",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TOTAL_STREAMS</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SNAPSHOT_YEAR_ISOWEEK</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2013-1</th>\n",
       "      <td>257.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-11</th>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-12</th>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-13</th>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-14</th>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-52</th>\n",
       "      <td>6224.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-6</th>\n",
       "      <td>24089.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-7</th>\n",
       "      <td>27082.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-8</th>\n",
       "      <td>31528.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-9</th>\n",
       "      <td>32541.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>480 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                       TOTAL_STREAMS\n",
       "SNAPSHOT_YEAR_ISOWEEK               \n",
       "2013-1                         257.0\n",
       "2013-11                          1.0\n",
       "2013-12                          3.0\n",
       "2013-13                          5.0\n",
       "2013-14                          1.0\n",
       "...                              ...\n",
       "2022-52                       6224.0\n",
       "2022-6                       24089.0\n",
       "2022-7                       27082.0\n",
       "2022-8                       31528.0\n",
       "2022-9                       32541.0\n",
       "\n",
       "[480 rows x 1 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "selected_artist_prev_perf_df[selected_artist_prev_perf_df['ISRC'] == 'US2761001054'][['SNAPSHOT_YEAR_ISOWEEK', 'TOTAL_STREAMS']].groupby(['SNAPSHOT_YEAR_ISOWEEK']).sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0a4423a5",
   "metadata": {},
   "source": [
    "### Millyz (1539265)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "5394ca7f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ARTIST_ID</th>\n",
       "      <th>ARTIST_NAME</th>\n",
       "      <th>RELEASE_ID</th>\n",
       "      <th>RELEASE_NAME</th>\n",
       "      <th>RELEASE_FORMAT</th>\n",
       "      <th>THIRD_PARTY_PUBLISHER</th>\n",
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       "      <th>ISRC</th>\n",
       "      <th>RELEASE_TRACK_NAME</th>\n",
       "      <th>RELEASE_DATE</th>\n",
       "      <th>...</th>\n",
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       "      <th>AVG_DIFF_RELEASE_SALES_WEEKS</th>\n",
       "      <th>MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_DAYS</th>\n",
       "      <th>MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_WEEKS</th>\n",
       "      <th>TOTAL_STREAMS</th>\n",
       "      <th>TOTAL_SKIPS</th>\n",
       "      <th>TOTAL_SAVES</th>\n",
       "      <th>SNAPSHOT_YEAR_ISOWEEK</th>\n",
       "      <th>HOLIDAY_CHRISTMAS</th>\n",
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       "      <td>1539265</td>\n",
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       "      <td>Thum Thru</td>\n",
       "      <td>Single</td>\n",
       "      <td>N</td>\n",
       "      <td>193483888859</td>\n",
       "      <td>QM6N21911107</td>\n",
       "      <td>Thum Thru</td>\n",
       "      <td>2019-05-24</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>32.000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019-1</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
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       "      <td>1539265</td>\n",
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       "      <td>Thum Thru</td>\n",
       "      <td>Single</td>\n",
       "      <td>N</td>\n",
       "      <td>193483888859</td>\n",
       "      <td>QM6N21911107</td>\n",
       "      <td>Thum Thru</td>\n",
       "      <td>2019-05-24</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>220.500</td>\n",
       "      <td>32.000</td>\n",
       "      <td>273.0</td>\n",
       "      <td>171.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2019-1</td>\n",
       "      <td>False</td>\n",
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       "      <td>193483888859</td>\n",
       "      <td>Thum Thru</td>\n",
       "      <td>Single</td>\n",
       "      <td>N</td>\n",
       "      <td>193483888859</td>\n",
       "      <td>QM6N21911107</td>\n",
       "      <td>Thum Thru</td>\n",
       "      <td>2019-05-24</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>220.000</td>\n",
       "      <td>32.000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019-1</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3303455</th>\n",
       "      <td>1539265</td>\n",
       "      <td>Millyz</td>\n",
       "      <td>193483888859</td>\n",
       "      <td>Thum Thru</td>\n",
       "      <td>Single</td>\n",
       "      <td>N</td>\n",
       "      <td>193483888859</td>\n",
       "      <td>QM6N21911107</td>\n",
       "      <td>Thum Thru</td>\n",
       "      <td>2019-05-24</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>220.000</td>\n",
       "      <td>32.000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019-1</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3303456</th>\n",
       "      <td>1539265</td>\n",
       "      <td>Millyz</td>\n",
       "      <td>193483888859</td>\n",
       "      <td>Thum Thru</td>\n",
       "      <td>Single</td>\n",
       "      <td>N</td>\n",
       "      <td>193483888859</td>\n",
       "      <td>QM6N21911107</td>\n",
       "      <td>Thum Thru</td>\n",
       "      <td>2019-05-24</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>220.000</td>\n",
       "      <td>32.000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019-1</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 36 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         ARTIST_ID ARTIST_NAME    RELEASE_ID RELEASE_NAME RELEASE_FORMAT  \\\n",
       "3303452    1539265      Millyz  193483888859    Thum Thru         Single   \n",
       "3303453    1539265      Millyz  193483888859    Thum Thru         Single   \n",
       "3303454    1539265      Millyz  193483888859    Thum Thru         Single   \n",
       "3303455    1539265      Millyz  193483888859    Thum Thru         Single   \n",
       "3303456    1539265      Millyz  193483888859    Thum Thru         Single   \n",
       "\n",
       "        THIRD_PARTY_PUBLISHER           UPC          ISRC RELEASE_TRACK_NAME  \\\n",
       "3303452                     N  193483888859  QM6N21911107          Thum Thru   \n",
       "3303453                     N  193483888859  QM6N21911107          Thum Thru   \n",
       "3303454                     N  193483888859  QM6N21911107          Thum Thru   \n",
       "3303455                     N  193483888859  QM6N21911107          Thum Thru   \n",
       "3303456                     N  193483888859  QM6N21911107          Thum Thru   \n",
       "\n",
       "        RELEASE_DATE  ... AVG_DIFF_RELEASE_SALES_DAYS  \\\n",
       "3303452   2019-05-24  ...                    0.000000   \n",
       "3303453   2019-05-24  ...                    0.000000   \n",
       "3303454   2019-05-24  ...                    0.000000   \n",
       "3303455   2019-05-24  ...                    0.000000   \n",
       "3303456   2019-05-24  ...                    0.000000   \n",
       "\n",
       "        AVG_DIFF_RELEASE_SALES_WEEKS  MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_DAYS  \\\n",
       "3303452                     0.000000                                 220.000   \n",
       "3303453                     0.000000                                 220.500   \n",
       "3303454                     0.000000                                 220.000   \n",
       "3303455                     0.000000                                 220.000   \n",
       "3303456                     0.000000                                 220.000   \n",
       "\n",
       "        MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_WEEKS  TOTAL_STREAMS TOTAL_SKIPS  \\\n",
       "3303452                                  32.000            1.0         0.0   \n",
       "3303453                                  32.000          273.0       171.0   \n",
       "3303454                                  32.000            1.0         0.0   \n",
       "3303455                                  32.000            1.0         0.0   \n",
       "3303456                                  32.000            1.0         0.0   \n",
       "\n",
       "         TOTAL_SAVES SNAPSHOT_YEAR_ISOWEEK HOLIDAY_CHRISTMAS  ROW_COUNT  \n",
       "3303452          0.0                2019-1             False          1  \n",
       "3303453          8.0                2019-1             False          1  \n",
       "3303454          0.0                2019-1             False          1  \n",
       "3303455          0.0                2019-1             False          1  \n",
       "3303456          0.0                2019-1             False          1  \n",
       "\n",
       "[5 rows x 36 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "millyz_id= 1539265\n",
    "\n",
    "selected_artist_prev_perf_df = artist_prev_track_perf_df[artist_prev_track_perf_df['ARTIST_ID'] == millyz_id]\n",
    "\n",
    "selected_artist_prev_perf_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4b538305",
   "metadata": {},
   "source": [
    "#### Millyz Previously released Tracks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "e38d9ac5",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "    <tr>\n",
       "      <th>RELEASE_NAME</th>\n",
       "      <th>ISRC</th>\n",
       "      <th>RELEASE_TRACK_NAME</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Ashes in the Maybach</th>\n",
       "      <th>QM4TX2204812</th>\n",
       "      <th>Ashes in the Maybach</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Atlantis</th>\n",
       "      <th>QM4TW2063939</th>\n",
       "      <th>Atlantis</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">Blanco 3</th>\n",
       "      <th>QM4TW2063939</th>\n",
       "      <th>Atlantis</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>QM4TX2085936</th>\n",
       "      <th>Grey Poupon</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>QM6P42051326</th>\n",
       "      <th>Stay for a While</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Interstate</th>\n",
       "      <th>QMBZ92059399</th>\n",
       "      <th>Interstate</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pandemic Pandemonium</th>\n",
       "      <th>QM4TX2076267</th>\n",
       "      <th>Pandemic Pandemonium</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stay for a While</th>\n",
       "      <th>QM6P42051326</th>\n",
       "      <th>Stay for a While</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tension</th>\n",
       "      <th>QMBZ92059408</th>\n",
       "      <th>Tension</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thum Thru</th>\n",
       "      <th>QM6N21911107</th>\n",
       "      <th>Thum Thru</th>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>75 rows × 0 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: []\n",
       "Index: [(Ashes in the Maybach, QM4TX2204812, Ashes in the Maybach), (Atlantis, QM4TW2063939, Atlantis), (Blanco 3, QM4TW2063939, Atlantis), (Blanco 3, QM4TX2085936, Grey Poupon), (Blanco 3, QM6P42051326, Stay for a While), (Blanco 3, QMBZ92017085, Himalayas), (Blanco 3, QMBZ92031763, Frisbee), (Blanco 3, QMBZ92059347, Blanco Tres), (Blanco 3, QMBZ92059348, Omerta Freestyle), (Blanco 3, QMBZ92059349, Outcast), (Blanco 3, QMBZ92059350, Heightened Senses), (Blanco 3, QMBZ92059396, Alive Again / Lust Song), (Blanco 3, QMBZ92059399, Interstate), (Blanco 3, QMBZ92059400, Drive Thru), (Blanco 3, QMBZ92059401, Riccardis), (Blanco 3, QMBZ92059402, Rain), (Blanco 3, QMBZ92059403, Between Us), (Blanco 3, QMBZ92059407, Pray 4 Me), (Blanco 3, QMBZ92059408, Tension), (Blanco 3, QMBZ92059409, Dead Homies Calling), (Blanco 3, QMBZ92059410, Levitate), (Blanco 3, QMBZ92059411, Relief), (Blanco 3, USCGJ2089560, R.L.S.), (Blanco 3, USDY42018517, The Muscle), (Blanco 4, QM6P42127445, Fish Tank), (Blanco 4, QMBZ92102736, Emotions), (Blanco 4, QMBZ92187648, Cantaloupe), (Blanco 4, QMBZ92187741, Highbeams), (Blanco 4, QMBZ92187742, Off White Sweater), (Blanco 4, QMBZ92187743, Duffle), (Blanco 4, QMBZ92187744, Lost Innocence), (Blanco 4, QMBZ92187745, American Bully), (Blanco 4, QMBZ92187746, Invisible), (Blanco 4, QMBZ92187747, Sharks), (Blanco 4, QMBZ92187748, Trap Pacino), (Blanco 4, QMBZ92187749, Hopeless), (Blanco 4, QMBZ92187751, Phases), (Blanco 4, QMBZ92187752, Benny Blanco), (Blanco 4, QMBZ92187753, Trust Me), (Blanco 4, QMBZ92187754, Cold Sweats), (Blanco 4, USCGJ2089560, R.L.S.), (Blanco 5, QM4TX2204812, Ashes in the Maybach), (Blanco 5, QM4TX2219923, Love/Hate), (Blanco II, QM6N21911107, Thum Thru), (Blanco II, QM6N21934409, Reload), (Blanco II, QM6N21934410, Demons), (Blanco II, QM6N21934411, Rambo), (Blanco II, QM6N21934412, Talking to Strangers), (Blanco II, QM6N21934413, All on Me), (Blanco II, QM6N21934414, Strawberry Goya), (Blanco II, QM6N21934415, The Prom), (Blanco II, QM6N21934416, Hydrants), (Blanco II, QM6N21934418, Tilapia), (Blanco II, QM6N21934419, Me & U), (Blanco II, QM6N21934420, Oh Lord), (Blanco II, QM6P41903577, Dead or Alive), (Blanco Tres, QM4TW2063939, Atlantis), (Blanco Tres, QM4TX2085936, Grey Poupon), (Blanco Tres, QM6P42051326, Stay for a While), (Blanco Tres, QMBZ92017085, Himalayas), (Blanco Tres, QMBZ92031763, Frisbee), (Blanco Tres, USCGJ2089560, R.L.S.), (Blanco Tres, USDY42018517, The Muscle), (Cantaloupe, QMBZ92187648, Cantaloupe), (Emotions, QMBZ92102736, Emotions), (Fish Tank, QM6P42127445, Fish Tank), (Frisbee, QMBZ92031763, Frisbee), (Grey Poupon, QM4TX2085936, Grey Poupon), (Heightened Senses, QMBZ92059350, Heightened Senses), (Himalayas, QMBZ92017085, Himalayas), (Interstate, QMBZ92059399, Interstate), (Pandemic Pandemonium, QM4TX2076267, Pandemic Pandemonium), (Stay for a While, QM6P42051326, Stay for a While), (Tension, QMBZ92059408, Tension), (Thum Thru, QM6N21911107, Thum Thru)]\n",
       "\n",
       "[75 rows x 0 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cols = ['RELEASE_NAME', 'ISRC','RELEASE_TRACK_NAME']\n",
    "selected_artist_prev_perf_df[cols].groupby(cols).sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "122bddb5",
   "metadata": {},
   "source": [
    "#### Millyz Previously released Tracks (First Week)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "9a4a44ce",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>TOTAL_STREAMS</th>\n",
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       "    <tr>\n",
       "      <th>RELEASE_ID</th>\n",
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       "      <th>TRACKNAME</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>193483888859</th>\n",
       "      <th>Thum Thru</th>\n",
       "      <th>2019-05-24</th>\n",
       "      <th>QM6N21911107</th>\n",
       "      <th>Thum Thru</th>\n",
       "      <td>7218.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">194491029975</th>\n",
       "      <th rowspan=\"4\" valign=\"top\">Blanco II</th>\n",
       "      <th rowspan=\"4\" valign=\"top\">2019-07-12</th>\n",
       "      <th>QM6N21934420</th>\n",
       "      <th>Oh Lord</th>\n",
       "      <td>6283.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>QM6N21934419</th>\n",
       "      <th>Me &amp; U</th>\n",
       "      <td>6180.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>QM6N21934418</th>\n",
       "      <th>Tilapia</th>\n",
       "      <td>6691.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>QM6N21934416</th>\n",
       "      <th>Hydrants</th>\n",
       "      <td>8149.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196626756947</th>\n",
       "      <th>Blanco 5</th>\n",
       "      <th>2022-04-12</th>\n",
       "      <th>QM4TX2204812</th>\n",
       "      <th>Ashes in the Maybach</th>\n",
       "      <td>158229.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196626609830</th>\n",
       "      <th>Blanco 5</th>\n",
       "      <th>2022-04-12</th>\n",
       "      <th>QM4TX2219923</th>\n",
       "      <th>Love/Hate</th>\n",
       "      <td>76133.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">196626683885</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">Blanco 5</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">2022-04-12</th>\n",
       "      <th>QM4TX2204812</th>\n",
       "      <th>Ashes in the Maybach</th>\n",
       "      <td>158229.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>QM4TX2219923</th>\n",
       "      <th>Love/Hate</th>\n",
       "      <td>76133.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196626756947</th>\n",
       "      <th>Blanco 5</th>\n",
       "      <th>2022-04-12</th>\n",
       "      <th>QM4TX2219923</th>\n",
       "      <th>Love/Hate</th>\n",
       "      <td>76133.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>102 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                          TOTAL_STREAMS\n",
       "RELEASE_ID   RELEASE_NAME RELEASE_DATE ISRC         TRACKNAME                          \n",
       "193483888859 Thum Thru    2019-05-24   QM6N21911107 Thum Thru                    7218.0\n",
       "194491029975 Blanco II    2019-07-12   QM6N21934420 Oh Lord                      6283.0\n",
       "                                       QM6N21934419 Me & U                       6180.0\n",
       "                                       QM6N21934418 Tilapia                      6691.0\n",
       "                                       QM6N21934416 Hydrants                     8149.0\n",
       "...                                                                                 ...\n",
       "196626756947 Blanco 5     2022-04-12   QM4TX2204812 Ashes in the Maybach       158229.0\n",
       "196626609830 Blanco 5     2022-04-12   QM4TX2219923 Love/Hate                   76133.0\n",
       "196626683885 Blanco 5     2022-04-12   QM4TX2204812 Ashes in the Maybach       158229.0\n",
       "                                       QM4TX2219923 Love/Hate                   76133.0\n",
       "196626756947 Blanco 5     2022-04-12   QM4TX2219923 Love/Hate                   76133.0\n",
       "\n",
       "[102 rows x 1 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cols = ['RELEASE_ID','RELEASE_NAME', 'RELEASE_DATE', 'ISRC','TRACKNAME']\n",
    "selected_artist_prev_perf_df[\n",
    "    (selected_artist_prev_perf_df['SNAPSHOT_ISO_WEEK'] == selected_artist_prev_perf_df['RELEASE_DATE_ISO_WEEK']) & \\\n",
    "    (selected_artist_prev_perf_df['SNAPSHOT_YEAR'] == selected_artist_prev_perf_df['RELEASE_YEAR'])\n",
    "              ][cols + ['TOTAL_STREAMS'] ].groupby(cols).sum().sort_values(by=['RELEASE_DATE'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "58b1973e",
   "metadata": {},
   "source": [
    "### Millyz Previous Track Performance (Random Sample of 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "fcf376d0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TRACK SAMPLE : ['QM6N21934416', 'QMBZ92187747', 'QM4TX2085936', 'QM4TX2219923']\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x2160 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_random_track_performance_from_artist(df=artist_prev_track_perf_df, artist_id=millyz_id)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54bf9397",
   "metadata": {},
   "source": [
    "### Ted Nugent (2549794)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "427b9c09",
   "metadata": {},
   "source": [
    "> Modeling action point \n",
    "> - Drop tracks that dont have enough samples to model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "7c264687",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ARTIST_ID</th>\n",
       "      <th>ARTIST_NAME</th>\n",
       "      <th>RELEASE_ID</th>\n",
       "      <th>RELEASE_NAME</th>\n",
       "      <th>RELEASE_FORMAT</th>\n",
       "      <th>THIRD_PARTY_PUBLISHER</th>\n",
       "      <th>UPC</th>\n",
       "      <th>ISRC</th>\n",
       "      <th>RELEASE_TRACK_NAME</th>\n",
       "      <th>RELEASE_DATE</th>\n",
       "      <th>...</th>\n",
       "      <th>AVG_DIFF_RELEASE_SALES_DAYS</th>\n",
       "      <th>AVG_DIFF_RELEASE_SALES_WEEKS</th>\n",
       "      <th>MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_DAYS</th>\n",
       "      <th>MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_WEEKS</th>\n",
       "      <th>TOTAL_STREAMS</th>\n",
       "      <th>TOTAL_SKIPS</th>\n",
       "      <th>TOTAL_SAVES</th>\n",
       "      <th>SNAPSHOT_YEAR_ISOWEEK</th>\n",
       "      <th>HOLIDAY_CHRISTMAS</th>\n",
       "      <th>ROW_COUNT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3902337</th>\n",
       "      <td>2549794</td>\n",
       "      <td>Ted Nugent</td>\n",
       "      <td>196292668254</td>\n",
       "      <td>Come and Take It</td>\n",
       "      <td>Single</td>\n",
       "      <td>N</td>\n",
       "      <td>196292668254</td>\n",
       "      <td>USME32101242</td>\n",
       "      <td>Come and Take It</td>\n",
       "      <td>2021-11-12</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2021-45</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3902338</th>\n",
       "      <td>2549794</td>\n",
       "      <td>Ted Nugent</td>\n",
       "      <td>196292668254</td>\n",
       "      <td>Come and Take It</td>\n",
       "      <td>Single</td>\n",
       "      <td>N</td>\n",
       "      <td>196292668254</td>\n",
       "      <td>USME32101242</td>\n",
       "      <td>Come and Take It</td>\n",
       "      <td>2021-11-12</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>22.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2021-45</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3902339</th>\n",
       "      <td>2549794</td>\n",
       "      <td>Ted Nugent</td>\n",
       "      <td>196292668254</td>\n",
       "      <td>Come and Take It</td>\n",
       "      <td>Single</td>\n",
       "      <td>N</td>\n",
       "      <td>196292668254</td>\n",
       "      <td>USME32101242</td>\n",
       "      <td>Come and Take It</td>\n",
       "      <td>2021-11-12</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2021-45</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3902340</th>\n",
       "      <td>2549794</td>\n",
       "      <td>Ted Nugent</td>\n",
       "      <td>196292668254</td>\n",
       "      <td>Come and Take It</td>\n",
       "      <td>Single</td>\n",
       "      <td>N</td>\n",
       "      <td>196292668254</td>\n",
       "      <td>USME32101242</td>\n",
       "      <td>Come and Take It</td>\n",
       "      <td>2021-11-12</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2021-45</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3902341</th>\n",
       "      <td>2549794</td>\n",
       "      <td>Ted Nugent</td>\n",
       "      <td>196292668254</td>\n",
       "      <td>Come and Take It</td>\n",
       "      <td>Single</td>\n",
       "      <td>N</td>\n",
       "      <td>196292668254</td>\n",
       "      <td>USME32101242</td>\n",
       "      <td>Come and Take It</td>\n",
       "      <td>2021-11-12</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2021-45</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3911474</th>\n",
       "      <td>2549794</td>\n",
       "      <td>Ted Nugent</td>\n",
       "      <td>196626104830</td>\n",
       "      <td>American Campfire</td>\n",
       "      <td>Single</td>\n",
       "      <td>N</td>\n",
       "      <td>196626104830</td>\n",
       "      <td>USME32101244</td>\n",
       "      <td>American Campfire</td>\n",
       "      <td>2022-02-04</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>80.000</td>\n",
       "      <td>12.000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2022-17</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3911475</th>\n",
       "      <td>2549794</td>\n",
       "      <td>Ted Nugent</td>\n",
       "      <td>196626104830</td>\n",
       "      <td>American Campfire</td>\n",
       "      <td>Single</td>\n",
       "      <td>N</td>\n",
       "      <td>196626104830</td>\n",
       "      <td>USME32101244</td>\n",
       "      <td>American Campfire</td>\n",
       "      <td>2022-02-04</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>80.000</td>\n",
       "      <td>12.000</td>\n",
       "      <td>214.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2022-17</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3911476</th>\n",
       "      <td>2549794</td>\n",
       "      <td>Ted Nugent</td>\n",
       "      <td>196626104830</td>\n",
       "      <td>American Campfire</td>\n",
       "      <td>Single</td>\n",
       "      <td>N</td>\n",
       "      <td>196626104830</td>\n",
       "      <td>USME32101244</td>\n",
       "      <td>American Campfire</td>\n",
       "      <td>2022-02-04</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>80.000</td>\n",
       "      <td>12.000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2022-17</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3911477</th>\n",
       "      <td>2549794</td>\n",
       "      <td>Ted Nugent</td>\n",
       "      <td>196626104830</td>\n",
       "      <td>American Campfire</td>\n",
       "      <td>Single</td>\n",
       "      <td>N</td>\n",
       "      <td>196626104830</td>\n",
       "      <td>USME32101244</td>\n",
       "      <td>American Campfire</td>\n",
       "      <td>2022-02-04</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>80.000</td>\n",
       "      <td>12.000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2022-17</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3911478</th>\n",
       "      <td>2549794</td>\n",
       "      <td>Ted Nugent</td>\n",
       "      <td>196626104830</td>\n",
       "      <td>American Campfire</td>\n",
       "      <td>Single</td>\n",
       "      <td>N</td>\n",
       "      <td>196626104830</td>\n",
       "      <td>USME32101244</td>\n",
       "      <td>American Campfire</td>\n",
       "      <td>2022-02-04</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>80.000</td>\n",
       "      <td>12.000</td>\n",
       "      <td>19.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2022-17</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9142 rows × 36 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         ARTIST_ID ARTIST_NAME    RELEASE_ID       RELEASE_NAME  \\\n",
       "3902337    2549794  Ted Nugent  196292668254   Come and Take It   \n",
       "3902338    2549794  Ted Nugent  196292668254   Come and Take It   \n",
       "3902339    2549794  Ted Nugent  196292668254   Come and Take It   \n",
       "3902340    2549794  Ted Nugent  196292668254   Come and Take It   \n",
       "3902341    2549794  Ted Nugent  196292668254   Come and Take It   \n",
       "...            ...         ...           ...                ...   \n",
       "3911474    2549794  Ted Nugent  196626104830  American Campfire   \n",
       "3911475    2549794  Ted Nugent  196626104830  American Campfire   \n",
       "3911476    2549794  Ted Nugent  196626104830  American Campfire   \n",
       "3911477    2549794  Ted Nugent  196626104830  American Campfire   \n",
       "3911478    2549794  Ted Nugent  196626104830  American Campfire   \n",
       "\n",
       "        RELEASE_FORMAT THIRD_PARTY_PUBLISHER           UPC          ISRC  \\\n",
       "3902337         Single                     N  196292668254  USME32101242   \n",
       "3902338         Single                     N  196292668254  USME32101242   \n",
       "3902339         Single                     N  196292668254  USME32101242   \n",
       "3902340         Single                     N  196292668254  USME32101242   \n",
       "3902341         Single                     N  196292668254  USME32101242   \n",
       "...                ...                   ...           ...           ...   \n",
       "3911474         Single                     N  196626104830  USME32101244   \n",
       "3911475         Single                     N  196626104830  USME32101244   \n",
       "3911476         Single                     N  196626104830  USME32101244   \n",
       "3911477         Single                     N  196626104830  USME32101244   \n",
       "3911478         Single                     N  196626104830  USME32101244   \n",
       "\n",
       "        RELEASE_TRACK_NAME RELEASE_DATE  ... AVG_DIFF_RELEASE_SALES_DAYS  \\\n",
       "3902337   Come and Take It   2021-11-12  ...                    0.000000   \n",
       "3902338   Come and Take It   2021-11-12  ...                    0.000000   \n",
       "3902339   Come and Take It   2021-11-12  ...                    0.000000   \n",
       "3902340   Come and Take It   2021-11-12  ...                    0.000000   \n",
       "3902341   Come and Take It   2021-11-12  ...                    0.000000   \n",
       "...                    ...          ...  ...                         ...   \n",
       "3911474  American Campfire   2022-02-04  ...                    0.000000   \n",
       "3911475  American Campfire   2022-02-04  ...                    0.000000   \n",
       "3911476  American Campfire   2022-02-04  ...                    0.000000   \n",
       "3911477  American Campfire   2022-02-04  ...                    0.000000   \n",
       "3911478  American Campfire   2022-02-04  ...                    0.000000   \n",
       "\n",
       "        AVG_DIFF_RELEASE_SALES_WEEKS  MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_DAYS  \\\n",
       "3902337                     0.000000                                   1.000   \n",
       "3902338                     0.000000                                   1.000   \n",
       "3902339                     0.000000                                   0.000   \n",
       "3902340                     0.000000                                   2.000   \n",
       "3902341                     0.000000                                   1.000   \n",
       "...                              ...                                     ...   \n",
       "3911474                     0.000000                                  80.000   \n",
       "3911475                     0.000000                                  80.000   \n",
       "3911476                     0.000000                                  80.000   \n",
       "3911477                     0.000000                                  80.000   \n",
       "3911478                     0.000000                                  80.000   \n",
       "\n",
       "        MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_WEEKS  TOTAL_STREAMS TOTAL_SKIPS  \\\n",
       "3902337                                   0.000            2.0         0.0   \n",
       "3902338                                   0.000           22.0        12.0   \n",
       "3902339                                   0.000            1.0         0.0   \n",
       "3902340                                   0.000            1.0         0.0   \n",
       "3902341                                   0.000            2.0         0.0   \n",
       "...                                         ...            ...         ...   \n",
       "3911474                                  12.000            1.0         0.0   \n",
       "3911475                                  12.000          214.0       151.0   \n",
       "3911476                                  12.000            1.0         0.0   \n",
       "3911477                                  12.000            1.0         0.0   \n",
       "3911478                                  12.000           19.0         5.0   \n",
       "\n",
       "         TOTAL_SAVES SNAPSHOT_YEAR_ISOWEEK HOLIDAY_CHRISTMAS  ROW_COUNT  \n",
       "3902337          0.0               2021-45             False          1  \n",
       "3902338          8.0               2021-45             False          1  \n",
       "3902339          0.0               2021-45             False          1  \n",
       "3902340          0.0               2021-45             False          1  \n",
       "3902341          0.0               2021-45             False          1  \n",
       "...              ...                   ...               ...        ...  \n",
       "3911474          0.0               2022-17             False          1  \n",
       "3911475          6.0               2022-17             False          1  \n",
       "3911476          0.0               2022-17             False          1  \n",
       "3911477          0.0               2022-17             False          1  \n",
       "3911478          0.0               2022-17             False          1  \n",
       "\n",
       "[9142 rows x 36 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ted_nugent_id = 2549794\n",
    "\n",
    "selected_artist_prev_perf_df = artist_prev_track_perf_df[artist_prev_track_perf_df['ARTIST_ID'] == ted_nugent_id]\n",
    "\n",
    "selected_artist_prev_perf_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b9314026",
   "metadata": {},
   "source": [
    "### Previously Released Tracks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "e3d568e5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RELEASE_NAME</th>\n",
       "      <th>ISRC</th>\n",
       "      <th>RELEASE_TRACK_NAME</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>American Campfire</th>\n",
       "      <th>USME32101244</th>\n",
       "      <th>American Campfire</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Come and Take It</th>\n",
       "      <th>USME32101242</th>\n",
       "      <th>Come and Take It</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Detroit Muscle</th>\n",
       "      <th>USME32101242</th>\n",
       "      <th>Come and Take It</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>USME32101244</th>\n",
       "      <th>American Campfire</th>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: []\n",
       "Index: [(American Campfire, USME32101244, American Campfire), (Come and Take It, USME32101242, Come and Take It), (Detroit Muscle, USME32101242, Come and Take It), (Detroit Muscle, USME32101244, American Campfire)]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cols = ['RELEASE_NAME', 'ISRC','RELEASE_TRACK_NAME']\n",
    "selected_artist_prev_perf_df[cols].groupby(cols).sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "e67ba945",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TRACK SAMPLE : ['USME32101242', 'USME32101244']\n"
     ]
    },
    {
     "data": {
      "image/png": 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cf65zVMuCY0fAxdDVWl+4B9dsr8HV7hhRCAAAAAAcL/caXK37N7guL7aSJFeMKYRHJuBi6Drbu9nerfeaW/Mz/QaXEYUAAAAAwDGz0m9wXXyRgGtpcSFJsnxj/UjWBMeRgIuha/eDrIUDIwrbAi4AAAAA4JhZaXcyPVnyxOmp+97nQmsmZ+ems6zBBY9MwMXQtbd6QdbzIwr39uAyohAAAAAAOF5W252cn59NKeW+9ymlZGmxlSvXBVzwqARcDN1eU+v5EYWTLzgOAAAAAHBcrLS7Od+aecn7XV5cyK/eWE+t9QhWBcePgIuhuzei8CMaXAIuAAAAAOB4WW13cuFF9t/as7TYyu3Nu1nd6B7BquD4EXAxdPdGFPb34Do9vdfgMqIQAAAAADheVtrdBwu4LrWSJMvGFMIjEXAxdBvdF44onJgomZ+ZzKYRhQAAAADAMVJrzUq7kwsPMKJwaXEhSXLlxvqwlwXHkoCLoVvfeuGIwiSZm53KRleDCwAAAAA4Ptqd7XS2dx+owXXpidkszE5l+YYGFzwKARdDt9F54YjCJJmfmbx3HAAAAADgOFht9/bTOv8ADa5SSi5fahlRCI9IwMXQtTvbmSjP772V9MYVbnYFXAAAAADA8bHS7iTJAzW4kmRpsaXBBY9IwMXQrW9tZ352KqWUe8fmZ6bS1uACAAAAAI6RvYDrQRpcSW8frpV2J7c2usNcFhxLAi6GbqOznda+/beSZH52Mpv24AIAAAAAjpGV/ojCiw/Y4Lp8qZUkuXJTiwseloCLoWsfEnDNzWpwAQAAAADHy16D69z8gza4egGXfbjg4Qm4GLp2ZzutUy8MuFozU9nsaHABAAAAAMfHarubc3PTmZ58sI/eX3bmdOZmJrN8Y33IK4PjR8DF0B3e4JrMhgYXAAAAAHCMrLQ7Of+A4wmTZGKi5PJiK1duaHDBwxJwMXTtrY8MuFqzU9nobqfWOqJVAQAAAAAM1mq7mwutBxtPuOfyYsuIQngEAi6G7tAG18xUdmuydXd3RKsCAAAAABish21wJcnS4kKuPbeV57buDmlVcDwJuBi6dmc78x/R4JpMkmx0jSkEAAAAAI6HlXYnFx864GoliTGF8JAEXAxVrTXtznYWTn1kgyuJfbgAAAAAgGOhs72T57a2c37+4UYULl3qB1zGFMJDEXAxVJvdndSajxhRuNfo2ujsjGJZAAAAAAAD9exGN0lyYeHhGlyvODeX2amJLN9YH8ay4NgScDFUew2tgyMK540oBAAAAACOkZX1XsD1sA2uyYmS11xsZdmIQngoAi6Gar0fcBlRCAAAAAAcZysbnSQP3+BKemMKl40ohIci4GKo9gKsgyMK9/6+2TWiEAAAAABovpX1fsA1//AB1+WLrXzo9h2FAHgIAi6Gqr11+IjCuZneiMK2H9gAAAAAwDGwem8ProcbUZj0GlxJ8p6bGwNdExxnAi6Gav2lGlwCLgAAAADgGFhZ72RuZvLe9iwP4/LiQpJk+cb6oJcFx5aAi6HauN8eXLO9BteGEYUAAAAAwDGwutHN+dbDt7eS5NXn5zI9WbJ8wz5c8KAEXAzV3gjCgyMKZ6cmMz1ZzJQFAAAAAI6FlXYnF1oPv/9WkkxPTuSjLsxn+bqACx6UgIuhWt86fERhkszNTAm4AAAAAIBjYaXdzfn5Rwu4kmRpcSFXjCiEBybgYqg2OtuZmiiZnfrIb7XW7JQRhQAAAADAsbDS7uTiwqONKEySy4ut/Nqzm9m66zNTeBACLoaq3dlO69RUSikfcdvczKQGFwAAAADQeLu7Nc9uPGaD61IruzV5z82NAa4Mji8BF0PV3to+dDxh0tuXS4MLAAAAAGi623fuZme35kLr0RtcS4sLSZJlYwrhgQi4GKp258UCLg0uAAAAAKD5VtqdJMn51qM3uJ65MJfJiZIrN9qDWhYcawIuhupFA66ZKQEXAAAAANB4ewHXhccIuGanJvPq83NZvi7gggch4GKo9vbgOkxvRKGACwAAAABotpV2N0kea0RhkiwttowohAck4GKo2p3tzN+nwTU3M5nNjj24AAAAAIBmWx1Agyvp7cP1vtXNdLd3B7EsONYEXAxVe2s7C/cJuFoaXAAAAADAMbDS7mRyouTM6enHOs/SpVZ2dmvet7oxoJXB8SXgYqhebA+uuZmpbN3dzfaO30YAAAAAAJprtd3N+fmZTEyUxzrP5cVWktiHCx6AgIuh2dmt2ezu3HdE4fzsZJJk864xhQAAAABAc620Ozn/mOMJk+Q1F1spJfbhggcg4GJo9sYPLpy6X8DVO77RMaYQAAAAAGiulXY3F1ozj32eU9OTedWTc1m+ocEFL0XAxdDsBVf3G1H4fMClwQUAAAAANNdKu5MLA2hwJcnSYitXjCiElyTgYmjaW72A674jCmd6Iwo1uAAAAACAJlsdUIMrSS4vLuQ9K+1s7+wO5HxwXAm4GJr1vQbXS40o7Aq4AAAAAIBm2uhs587dnYHswZX0Glx3d2re/+zmQM4Hx5WAi6F5yRGFM0YUAgAAAADNttruJsngRhReaiVJlo0phBcl4GJo9kYU3n8Prt6Iwk0NLgAAAACgoW62O0kysBGFr7nYC7iu3FgfyPnguBJwMTTrL9Xg6h9v24MLAAAAAGio1XsB12AaXPOzU3n52dNZvqHBBS9GwMXQvOSIwv7xTSMKAQAAAICGWhnwiMIkubzYMqIQXoKAi6HZG1E4f5+A6/R0b0ShBhcAAAAA0FQr/QbXk/ODGVGYJEuLrbz7Zjs7u3Vg54TjRsDF0LQ725mdmsjM1OHfZpMTJaenJ+3BBQAAAAA01mq7kzOnp+/7OeijWLrUSmd7Nx+6dWdg54TjRsDF0LQ72/cdT7hnfnYqG10jCgEAAACAZlppd3O+Nbj2VpJcXlxIkizfWB/oeeE4EXAxNO3OdlqnXirgmry3VxcAAAAAQNOstDsD3X8r6e3BlSTLN+zDBfcj4GJo2lsP0OCamcpGR4MLAAAAAGimXsA12AbXmdPTufTEbJavC7jgfgRcDE27s535lxxRqMEFAAAAADTX6kZ34A2uJFlaXMgVIwrhvgRcDE27s52FB9iDa7Mr4AIAAAAAmufuzm5ub97N+fnBB1yXF1tZvtFOrXXg54bjQMDF0DzQHlwzU2lrcAEAAAAADfTsRjdJcmFhsCMKk2TpUiub3Z18eG1r4OeG40DAxdBsPOCIws2uPbgAAAAAgOa5ud5JkqE0uJYWF5Iky9eNKYTDCLgYmvWtlx5ROKfBBQAAAAA01Gq/wXVxGA2uxVaS5MqN9sDPDceBgIuhuLuzm872blovEXC1Zqey2d0xRxYAAAAAaJyVITa4zs3P5EJrJsvXBVxwGAEXQ7HRb2W91IjCudnJ7OzWdLZ3j2JZAAAAAAADs7rRC7guLAw+4EqSy4utLN8wohAOI+BiKNa3egFX69RLN7iS5wMxAAAAAICmWGl3Mzs1kfmZyaGcf2lxIcs32iZgwSEEXAzFRrcfcD3AHlxJstHZGfqaAAAAAAAGaaXdyYXWbEopQzn/0qVW1re2c6M/ChF4noCLoWhvPVjAtfebDXuBGAAAAABAU6y0u7nQmhna+S8vtpLEPlxwCAEXQ7HeebARhfNGFAIAAAAADbXab3ANy9LiQpLYhwsOIeBiKPYCq5dscM3uNbiMKAQAAAAAmmVlyAHXhdZMzs5NZ/mGBhccJOBiKB54RGH/9k0NLgAAAACgQWqtWW13c36IIwpLKVlabOWKEYXwEQRcDEX7QUcUzky94P4AAAAAAE2wdudutnfrUBtcSXJ5cSG/emM9tdahXgeaRsDFUOwFVnsB1v3ca3AZUQgAAAAANMhKu5MkQ21wJcnSYiu3N+9mdaM71OtA0wi4GIr21nbmZiYzOVFe9H5zM709uDS4AAAAAIAmWWn3AqeLQ25wLV1qJUmWjSmEFxBwMRTtzvZL7r+VJLNTE5maKNnsCrgAAAAAgOZ4vsE15IBrcSFJcuXG+lCvA00j4GIoHjTgKqVkbmYyGx0jCgEAAACA5ljtN7guDHlE4aUnZrMwO5XlGxpcsJ+Ai6Fod7bTOvXSAVeStGansmFEIQAAAADQICvtTiZKcnZuuAFXKSWvWWwZUQgHCLgYivbWgzW4kmRudiobRhQCAAAAAA2y0u7myfnZTE6UoV9rabGlwQUHCLgYinZnO/MPGHDNz04ZUQgAAAAANMpKuzP08YR7li61stLu5PZm90iuB00g4GIo2p3tLDxowDUzaUQhAAAAANAoq+1OLrRmj+RaS4sLSZIrWlxwj4CLodh4iD245mamstHV4AIAAAAAmmOl3c35I2pwXV5sJYkxhbCPgIuBq7U+1IjC1qwGFwAAAADQLEfZ4Hr52dM5PT2Z5esCLtgj4GLgOtu7ubtT03rAgGtudiqbXQEXAAAAANAMd7o72ejuHFmDa2Ki5PJiK8s31o/ketAEAi4Gbq+N9aABV2t2KhsdIwoBAAAAgGZYaXeS5MgaXEmytNiyBxfsI+Bi4NoPGXDNzUzmzt2d7OzWYS4LAAAAAGAgng+4jqbBlSSXL7VydW0r61t3j+yaMM4EXAzc+lY/4Dr14A2uJMYUAgAAAACNsNruJjnqBtdCkmhxQZ+Ai4F72BGFczNT/ccZUwgAAAAAjL9RjShMkmUBFyQRcDEEDzuicH52MkmyocEFAAAAADTA6kavwfXk/NGNKHzlk3OZmZrQ4II+ARcDdy/gesARhfP3GlwCLgAAAABg/N1c72Th1FROTU8e2TUnJ0pec7GV5evrR3ZNGGcCLgbu4RtcRhQCAAAAAM2x0u4c6XjCPUuLLSMKoU/AxcC1tx5xRKEGFwAAAADQAKvtbi60jm484Z6lxVY+eOtONm33AgIuBq/d2U4pydzMg9Vz7zW4/FAGAAAAABpgpd3J+fkRNLgutZIk776xceTXhnEj4GLg2p3ttGamUkp5oPs/vweXEYUAAAAAwPhb3ejmwsLRN7guLy4kSZZv2IcLBFwMXHtrO61TDzaeMHl+RKFaLQAAAAAw7rZ3dnNrszuSBterz89lerLYhwsi4GII2p3tB95/K0nm+g2utj24AAAAAIAx9+xmN7UmFxaOPuCanpzIR12Yz/J1ARcIuBi4dmf73r5aD2JyouTU9EQ2u0YUAgAAAADjbWW9myS5MH/0IwqTZGlxIVeMKAQBF4PX7mxn4SFGFCZJa3YqGxpcAAAAAMCYW93oJBlNgytJLi+28mvPbmbrrsIAJ5uAi4HbeMgRhUlvTKGACwAAAAAYdyvtXsB1flQNrkut7NbkPTc3RnJ9GBcCLgauvfVwIwqTZH52KhtGFAIAAAAAY2613R9ROKIG19LiQpJk2ZhCTjgBFwO3/ggNrvmZSQ0uAAAAAGDs3Wx3MjM5kYWH/Ax0UJ65MJfJiZIrN9ojuT6MCwEXA1VrfaQRhRpcAAAAAEATrLa7udCaSSllJNefnZrMq5+cy/J1ARcnm4CLgbpzdye7NWmdetiAS4MLAAAAABh/K+1OzrdGM55wz+XFlhGFnHgCLgaqvdULqR5+ROFUNgVcAAAAAMCY22twjdLSpVbev7qZ7vbuSNcBoyTgYqDanUcMuGan7j0WAAAAAGBcjUODa2lxIdu7Ne9f3RjpOmCUBFwM1KMHXJPZ7O6k1jqMZQEAAAAAPLZaa7/BNfoRhUmyfMM+XJxcAi4G6t6Iwofcg2tuZirbuzUdlVoAAAAAYEw9t7Wd7s7uyEcUvuZiK6Uky9cFXJxcAi4G6lEbXHv33+zuDHxNAAAAAACDsNLuJMnIG1ynZybzynNzWb6xPtJ1wCgJuBioRw245mYmkyQb9uECAAAAAMbUarubZPQBV5IsLbZyxYhCTjABFwN1L+B6yBGF8/1AbKMr4AIAAAAAxtNeg+v8iEcUJsnlS6285+ZGtnds+8LJJOBioB61wXUv4NLgAgAAAADG1OqYjChMkqXFhXR3dvNrz26OeikwEgIuBqq9tZ2piZLZqYf71pq/N6LQHlwAAAAAwHi62e6mlOTc3PSol5KlxVaSZNmYQk4oARcD1e5sp3VqKqWUh3rcXoNr04hCAAAAAGBMrbY7eXJuJlOTo/9o/TX9gMs+XJxUo/+vkGOl3dnO/MzDjSdMcu8xbQ0uAAAAAGBMrbQ7Y7H/VtLbJublZ09n+fr6qJcCIyHgYqDaW9tZOPUIAddsb0ShBhcAAAAAMK5W292x2H9rz+XFlhGFnFgCrjFza6Ob7/+p96XWOuqlPJKN7nZas48ScO01uARcAAAAAMB46jW4xifgWlps5cqNdnZ2m/l5MjwOAdeYefsvfihf9/ZfyQeevTPqpTyS9tb2vbDqYcxOTWRyomTTiEIAAAAAYEz1GlzjMaIwSZYutdLZ3s2HbjXz82R4HAKuMXN1bStJ8uxmd8QreTTrne20HmFEYSklczOTGlwAAAAAwFjauruT9c72mI0oXEiSLN+wDxcnj4BrzOwFXLcaGnBtdLbTmnn4gCvpbYpoDy4AAAAAYBytbvQ+sx2nBtflxVaS2IeLE0nANWau9QOu2w0NuNpbj9bgSpK5mclsGFEIAAAAAIyhlfVOkuT8/Pg0uM6cns6lJ2azfF3Axckj4Boz157rN7g27o54JQ9vd7dmo7uT1iPswZX0GlwbGlwAAAAAwBha3egFXBcWxifgSpKlxYVcMaKQE0jANUZqrY1ucO2FU48acM3NTGXDHlwAAAAAwBhaWe99Znt+fnxGFCa9MYXLN9qptY56KXCkBFxj5NmNbro7u0mS23ea1+Bq98OpRx1ROD9rRCEAAAAAMJ5W9hpcrTFrcF1qZbO7kw/3yxNwUgi4xsjVfT+Abm02MODaerwG17wRhQAAAADAmFpZ72Z+ZjKnZyZHvZQXWFpcSJIsXzemkJNFwDVG9sYTzkxNNHJE4b0G12ONKNTgAgAAAADGz+pGZ+z230p6IwqT5MqN9ohXAkdLwDVGrj7XC7hee6mVW00OuB5xRGFrdjKbGlwAAAAAwBhaaXfGbjxhkjw5P5Pz8zNZvi7g4mQRcI2Ra2t3MjVRsrS4kFsbJ29E4dzMVDa7O9ndtRkiAAAAADBeVta7OT8/M+plHOryYivLN4wo5GQRcI2Rq2tbufTEqTw5P3MiRxTuPW7zrjGFAAAAAMB4GdcRhUmydKmVKzfaqVV5gJNDwDVGrq1t5akzp3Jubjob3Z10t3dHvaSH8th7cM32Nmfc6BhTCAAAAACMj53dmmc3urkwpg2upcWFPLe1nZvrnVEvBY6MgGuM7AVcZ+Z6PySb1uLaG1E4/5gNLgEXAAAAADBObm12s1szvg2uxVaSZPmGfbg4OQRcY6LWmqtrW3n6iV6DK0lubTZrH652dzszUxOZmXq0b6u5mb2Ay4hCAAAAAGB8rLR7zajz8+MZcF2+1A+4rtuHi5NDwDUmnruznTt3d/ojCnsNrlsNbHAtPGJ7K0nm90YUdjW4AAAAAIDxsdrufVZ7oTWeIwovtmZz5vS0BhcnioBrTFx97k6S5Okzp3O23+Bq2ojCjc72I48nTJL5GSMKAQAAAIDxc6/B1RrPBlcpJUuLLQEXJ4qAa0xcXdtKkgMNroaNKOxs39tH61HshWMbXSMKAQAAAIDxsdJvcF0c04ArSZYutXJFwMUJIuAaE9f6AdfTDR5RuL61ndapAYwo1OACAAAAAMbISruT6cmSJ04/+uefw3Z5cSHPbnSz2m+bwXEn4BoTV9e2MlGSiwuzOT0zmdmpidxuWINro/t4Da45IwoBAAAAgDG02u7k/PxsSimjXsp9LS22ksSYQk4MAdeYuLZ2JxcXZjM92fsnOTc307g9uNpbjzmicGavwWVEIQAAAAAwPlba3ZxvzYx6GS9q6ZKAi5NFwDUmrq5t5akzp+/9/ezcdDP34HqMEYVTkxOZnZrIZleDCwAAAAAYH6vtTi6M8f5bSfLUE6fSmp3Klevro14KHAkB15i4traVp584de/vjWxwdR6vwZUkrdmpbAi4AAAAAIAx0oQGVykllxdbGlycGAKuMXFtbStPndkXcM03q8F1d2c3W3d3HzvgmpudNKIQAAAAABgbtdastDu5OOYNrqS3D5eAi5NCwDUG1rfuZr2znaf3BVxnG9bg2uj0WlePG3DNz0zdOxcAAAAAwKi1O9vpbO+OfYMr6e3DdXO906jPluFRCbjGwPXntpLkhQ2uuenc3rybWuuolvVQ2oMKuIwoBAAAAADGyGq7FxaN+x5cSbK0uJAkuaLFxQkg4BoDV9d6AdfTZ07fO3ZubibbuzXrDWkz3Qu4Tg0g4DKiEAAAAAAYEyvtTpLkfAMCrsuLrSQxppATQcA1Bp4PuJ5vcJ05PZ0kub3RjH242luDGlE4aUQhAAAAADA29gKuCw0YUfjys6dzenoyy9cFXBx/Aq4xcK0fcC0+8fxvAJyb6/2wvNWQWal7Da75AYwo3OxqcAEAAAAA42GlP6LwYgMaXBMTJZcXW1m+sT7qpcDQCbjGwNW1rVxozWR2avLesXPzvQZX0wKuhccdUTgzee9cAAAAAACjttfgOjc//g2uJFlabNmDixNBwDUGrq3dyVP7xhMmydl+g+v25gkbUTg7lc2ugAsAAAAAGA+r7W7OzU1nerIZH6dfvtTK1bWtrG8147NleFTN+C/ymLu6tpWnnjj9gmMneUTh3Z2azrYxhQAAAADA6K20OznfgPGEe5YWF5JEi4tjT8A1Bq49t5WnDzS4zpyeTinJraY0uDqDaXDNzfTGNG52BFwAAAAAwOittru50GrGeMIkubzYSpIsC7g45gRcI3anu5Pbm3c/YkTh5ETJE6emc7shDa6NznZOT09mcqI81nn2GmD24QIAAAAAxkHTGlyvPHc6M1MTGlwcewKuEbv23FaSfESDK0nOzU03Zw+uznZapx6vvZUk8zO9c2x2NbgAAAAAgNFbaXdysUEB19TkRD76wnyWr6+PeikwVAKuEbu6didJPqLBlSRn52YaswfX+tZ2Fh5zPGGSzM/2RhRudDW4AAAAAIDR6mzv5Lmt7Zyfb86IwiRZurSQKzc1uDjeBFwjdm1tr8F1+iNua1KDa6OzfW+84OPYO8eGEYUAAAAAwIg9u9ErIFxYaE6DK0mWFlv54K072VQk4BgTcI3Y1X7A9dQTh40obE6Dq93ZTmsQAdfMXsBlRCEAAAAAMFor673PZxvX4FpspdbkPTc3Rr0UGBoB14hdW9vK2bnpnJ6Z/Ijbzs7NNKbBtb41oD249kYUanABAAAAACO2stFJ0sAG16VWkmT5hn24OL4EXCN2dW3r0PZW0htR2O5sp7u9e8Srengb3QE1uPrnUJ0FAAAAAEZtZb0fcM03K+B69fn5TE2ULF+3DxfHl4BrxK49dydPnzk84Drbr73evjP+YwrbW4MdUdg2ohAAAAAAGLHVe3twNWtE4fTkRD7qwnyWbwi4OL4EXCN2bW0rT505fehtZ09PJ0kjxhS2O4MZUXhqeiITRYMLAAAAABi9lfVOTk9PZm7m8T/7PGpLl1q5IuDiGBNwjVBneycr7e59G1zn5nq/FXBrY7wbXJ3tndzdqQNpcJVSMj8zlbY9uAAAAACAEVvd6DauvbXn8uJC3r+6ka27pmVxPAm4RujGc735rU/db0ThXK/BdWvMG1ztrV4YNYiAK+ntw7VpRCEAAAAAMGIr7U7ON2z/rT1Li63s1uS9KxujXgoMhYBrhK6ubSXJ/Rtce3twbY53g2uvbTWogGtudjJtIwoBAAAAgBFbaXdzodXQgOtSK0nsw8WxJeAaoatrd5K8SMDVlAZXP+CaH1SDa2Yqm0YUAgAAAAAjttLu5EKrmSMKP+rCfCZKcuX6+qiXAkMh4Bqha/0G11NnTh96++npycxMTYx/g6s/onDh1KBGFE5mw4hCAAAAAGCEdndrnt1oboNrdmoyz5yf1+Di2BJwjdDVta0szE7dd7RfKSXn5qZza8wDro3ugPfgmpm6d04AAAAAgFG4fedudnZrYxtcSXJ5sSXg4tgScI3QtbWtPHWf8YR7zs3N5PaYjyhc3xrwiMLZqWwYUQgAAAAAjNBKu5MkOd/QBlfS24frfSsb6W7vjnopMHACrhG6+txLB1xn56bHPuDa24NroCMKu0YUAgAAAACjsxdwNXVEYZIsLS5ke7fm/asbo14KDJyAa4Surd3J0w/Q4Br7EYWdATe4ZqayqcEFAAAAAIzQSrv3uWzTRxQmMaaQY0nANSJ3d3ZzY72Tp86cftH7nZ2bya1xb3BtbaeUZG56ciDnm5udykZ3J7u7dSDnAwAAAAB4WKvHoMH1moutlJIsXxdwcfwcScBVSnmylHLuKK7VFDfXO6k1D9Dgms7tzW5qHd+wZ72zndbMVCYmykDO15rtBWV37hpTCAAAAACMxkq7k8mJkjOnp0e9lEd2emYyrzw3l+Ub66NeCgzc0AKuUsqrSilvLaXcTPIzSX6ulHKjf+yZYV23Ka6ubSXJS+7BdW5uJtu79d4+V+Noo7M9sPGESTI3M3XvvAAAAAAAo7Da7ub8/MzAfrF/VJYWW7liRCHH0DAbXG9L8iNJnqq1LtVaLyd5OsmPJnnr/R5USvnyUso7SinvuHnz5hCXN1rX+gHXSzW4zs71fjvg9hiPKWx3ttM6NbiAq9UPyza6GlwAAAAAwGistDs53+DxhHsuX2rlPTc3sr2zO+qlwEANM+C6UGt9W631XkpRa92ptb41yfn7PajW+p211tfVWl938eLFIS5vtK6u3UmSPP3ES+/BlSS3NrtDX9OjWt/avhdKDcLcTG9EoQYXAAAAADAqK+1uLrRmRr2Mx3b5Yivdnd382rObo14KDNQwA66fL6W8pZTyyaWUl/W/PrmU8pYkvzDE6zbCtbWtnJ6ezBOnXzwYOtdvcN0a4wbXRmewAde9BpeACwAAAAAYkZV2JxeOQYNr6dJCkmTZmEKOmWEGXK9P8p+SvCnJP0/yL/p//s9J/vAQr9sIV5/bytNnTqWUF5/futfguj3GDa72gAOuuXsjCgVcAAAAAMBorB6XBtdiK0nsw8WxM7hU4oBaazfJt/e/OODa2laeeon9t5J9Da6NMQ64tga7B9f8vRGF9uACAAAAAI7eRmc7d+7uHIs9uFqzU3nZmVNZvr4+6qXAQA0t4EqSUspnJfncJC9PUpN8OMnba63/bJjXbYJra1v55I9+8iXvd+b0+I8oHHSDa96IQgAAAABghFbbvcLBcRhRmCSXLy3kyk0NLo6XoQVcpZRvSfLaJN+f5IP9w69I8pWllM+utf6JYV173O3s1lzvjyh8KVOTE3ni1NTYjiistQ4+4JrZG1GowQUAACdRKeXJJLXWemvUawEATqab7U6S5PwxGFGYJEuLrfzgz6xmd7dmYuLFt82Bphhmg+tzaq2vPXiwlPK2JL+a5MQGXKvtTrZ3a546c/qB7n9ufmZsG1x37u5kt2agIwrnZvdGFGpwAQDASVFKeVWSv5rk9yS53TtUnkjyb5J8ba31ffd53Jcn+fIkedWrXnUkawUAjr/VfsB18Zg0uJYWW9m6u5sP3b6TVz45N+rlwEBMDPHcW6WUTzrk+Ccm2Rridcfe1bXe03/6iZducCXJ2bmZ3L4zngFXux9CzQ+wwTU9OZGZqYlsdAVcAABwgrwtyY8kearWulRrvZzk6SQ/muSt93tQrfU7a62vq7W+7uLFi0ezUgDg2Fvpjyg8Ng2uS60kyfIN+3BxfAyzwfXGJN9eSlnI8yMKX5nkuf5tJ9ZewPXUA4woTJJzc9N5dmM8RxS2t3oh1MIAA66kt/HhZseIQgAAOEEu1Frftv9ArXUnyVtLKX9xRGsCAE6olb0RhfPHo8F1+eJCkmT5eju/+2MujXg1MBhDC7hqrf8xySeXUp5K8vIkJckHa63XhnXNpri2didJHmgPriQ5NzeTd4/pBoAb/RBqkHtwJcnczKQRhQAAcLL8fCnlLUm+L8kH+sdemeQNSX5hZKsCAE6k1XYnT5yayszUMIegHZ0zc9NZXJjN8o3x/JwZHsUwG1wppZQkr04v4KpJJksp12utdZjXHXdXn9vKzOREnpx/sHrr2bnp3N4YzxGF653eugY5ojDpBWZGFAIAwIny+iR/JMmbsu+XJJP8WJLvGuG6AIATaKXdzYWF49He2rN0qSXg4lgZWsBVSvnMJG9JspzkQ/3Dr0hyuZTyFbXWfzGsa4+7a2tbeerMqfTyv5d2bm4m653t3N3ZzfTkeP3GwL0RhaeG0eAyohAAAE6KWms3ybf3vwAARmql3cmF1jELuBYX8sPv+EBqrQ/82TSMs2E2uL41yafXWt+3/2Ap5aOS/HiSjx3itcfa1X7A9aDOzU0nSW5v3s3FMfutgb2W1aAbXPOzU2kbUQgAACdKKeWzknxunp8C8uEkb6+1/rNRrgsAOHlW2p38uqcWRr2Mgbq82MpGdydX17bysrOnR70ceGzDDLim0hsncdCHkkwP8bpj79raVn7Tq84+8P3PzPVGGd7e7I5dwLXX4Br0HlzzM1O5/tzWQM8JAACMr1LKtyR5bZLvz/PvJV+R5CtLKZ9da/0To1obAHDyrG50j2GDq5UkWb7RFnBxLAwz4PruJD9XSnlrXrhB8BflBM9Pr7XeG1H4oPYaXLc2x28frvXOcEYUzs9OGVEIAAAny+fUWl978GAp5W1JfjWJgAsAOBJ3d3Zze/Nuzs8fs4DrUq+Rtnx9Pb/ztRdHvBp4fEPb0KnW+o1JviS9jYE/Jcmn9v/8Jf3bTqRnN7rp7uzm6SceJuDqNbhubXaHtaxHttHZzuREyezUYL+V5mcn740/BAAAToStUsonHXL8E5MY7wAAHJlnN3qfw15YmBnxSgbryfmZnJ+fyZUb7VEvBQZimA2u1FrfmeSdw7xG01xd670ve+rMg1dAz97bg2v8Aq721nZas1MD35RwfnYqmxpcAABwkrwxybeXUhby/IjCVyZ5rn8bAMCRuLneSZJj1+BKevtwLQu4OCaGFnCVUs4k+TPpbRC813e8keTtSd5ca709rGuPs2v9gOvphxpRuNfgGs8RhYPefytJ5mcm093ZTXd7NzMDbocBAADjp9b6H5N8cinlqSQvT28CyAdrrddGuzIA4KRZ7Te4Lh6zBleSLF1q5cd+8cOptQ68tABHbZjJwQ8luZXk02qt52ut55P8riS3k/zwEK871q4+9/AB19zMZGYmJ8Z2ROEwAq65md45N40pBACAE6P0PmV5df/rlUleXXzyAgAcsZVj3OBaWlzIc1vb91pq0GTDHFH4TK31m/Yf6P/m3ZtLKV86xOuOtWtrdzI1UXK+9eA/HEspOTs3ndsb49fgane20zo1+G+jvdCs3dnO2bnj95sSAADAC5VSPjPJW5IsJ/lQ//ArklwupXxFrfVfjGxxAMCJsrrRC38uLBzHgKuVJFm+0c7iEw9ewoBxNMyA6/2llK9O8n211utJUkq5lN7s9A8M8bpj7eraVi49cSqTEw/3S4jn5mbGssHV3hpOADU3O5kk2ezahwsAAE6Ib03y6bXW9+0/WEr5qCQ/nuRjR7EoAODkWWl3Mzs1kfmZyVEvZeAuX+oHXNfX81svXxjxauDxDHNE4RcmOZ/kJ0opt0opzyb5t0meTPIFQ7zuWLu2tpVLTzx88n92bjq374xpg2sYe3D1z7nRMaIQAABOiKkkHzzk+IeSTB/xWgCAE2yl3cmF1uyx3KPqYms2Z05PZ/lGe9RLgcc2tAZXrfVWkq/pf6WU8tuTfFKS/1RrfXZY1x1319a28rFPP/HQjzs3N5P3rIzfD52hBVwzewGXBhcAAJwQ353k50opb83zUz9emeSLknzXyFYFAJw4K+1uLrSO57YppZQsLbYEXBwLQ2twlVJ+dt+fvyzJ30rSSvL1pZSvHdZ1x1mtNVfXtvLUmYefbXpufjq3NsewwbU1nD245vsjCje6GlwAAHAS1Fq/McmXJClJPiXJp/b//CX92wAAjsRqv8F1XC1dauWKgItjYJh7cO0fIfFHk3xmrfVmKeWvJ/npJG8e4rXH0nN3tnPn7k6efoSA6+zcTG5vdlNrHZtq7O5uzUZ35944wUF6vsEl4AIAgJOi1vrOJO8c9ToAgJNtpd3Jx73s4adwNcVrLrby7MYHstru5PwxDvI4/oa5B9dEKeVcKeV8klJrvZkktdaNJCcytbj63J0kebQG19x07u70AqVxsdeuWhjmHlxj9HwBAIDhKaWcKaW8uZTyrlLKav/rv/SPnR31+gCAk2F3t2a13T3mDa6FJDGmkMYbZsB1JsnPJ3lHkidLKU8lSSmlld6YiRPn6tpWkjxygytJbm10B7qmx7G3P9ZQGlx7Iwo1uAAA4KT4oSS3knxarfV8rfV8kt+V5HaSHx7lwgCAk+O5rbvZ3q3Hutm0tNhKIuCi+YY2orDW+sx9btpN8nnDuu44u9YPuJ46c/qhH3v2dG/i4+3Nu3nlkwNd1iNrd3p7gg1jD67T05MpJdkUcAEAwEnxTK31m/YfqLVeS/LmUsqXjmhNAMAJs9LuJEkutGZGvJLhefrMqczPTObK9fVRLwUeyzAbXIeqtW7WWt971NcdB1fXtlJKsrjw8On/ufl+g2tzfBpc61vDG1FYSsn8zFTaHSMKAQDghHh/KeWrSymX9g6UUi6VUr4myQdGuC4A4ARZafc+fz3OIwpLKbl8aSFXbmpw0WxHHnCdZNfW7uRiazbTkw//sp+b6zW4xingGuaIwt55J7PZ1eACAIAT4guTnE/yE6WUW6WUZ5P82yRPJvmCUS4MADg5nm9wHd+AK+mNKVy+LuCi2QRcR+jq2tYj7b+VPL8H1+3Nu4Nc0mO5N6JwWAHXzFTaRhQCAMCJUGu9VWv9mlrrx9RazyX575P83ST/utb67IiXBwCcEKv3GlzHd0Rh0gu4bqx3sjZGnzfDwxJwHaFra1t56lEDrtPj1+C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\n",
      "text/plain": [
       "<Figure size 2160x2160 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_random_track_performance_from_artist(df=artist_prev_track_perf_df, artist_id=ted_nugent_id, track_sample_size=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6db29585",
   "metadata": {},
   "source": [
    "## (2) Feature Processing Pipeline \n",
    "(One Hot Encoding Categorical Features)\n",
    "- Other features:\n",
    "    -- track name language\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "c5a00384",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['ARTIST_ID', 'ARTIST_NAME', 'RELEASE_ID', 'RELEASE_NAME',\n",
       "       'RELEASE_FORMAT', 'THIRD_PARTY_PUBLISHER', 'UPC', 'ISRC',\n",
       "       'RELEASE_TRACK_NAME', 'RELEASE_DATE', 'SALES_START_DATE', 'TRACKNAME',\n",
       "       'RELEASE_GENREID', 'GENRENAME', 'FEED_ID', 'FEEDNAME', 'STORE_ID',\n",
       "       'STORENAME', 'COUNTRY_CODE', 'SNAPSHOT_ISO_WEEK', 'SNAPSHOT_YEAR',\n",
       "       'RELEASE_DATE_ISO_WEEK', 'SALES_START_ISO_WEEK',\n",
       "       'RELEASE_DAY_OF_WEEK_ISO', 'RELEASE_YEAR', 'SALES_START_YEAR',\n",
       "       'AVG_DIFF_RELEASE_SALES_DAYS', 'AVG_DIFF_RELEASE_SALES_WEEKS',\n",
       "       'MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_DAYS',\n",
       "       'MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_WEEKS', 'TOTAL_STREAMS',\n",
       "       'TOTAL_SKIPS', 'TOTAL_SAVES', 'SNAPSHOT_YEAR_ISOWEEK',\n",
       "       'HOLIDAY_CHRISTMAS', 'ROW_COUNT'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "artist_prev_track_perf_df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "8a14bddf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ARTIST_ID</th>\n",
       "      <th>ARTIST_NAME</th>\n",
       "      <th>RELEASE_ID</th>\n",
       "      <th>RELEASE_NAME</th>\n",
       "      <th>RELEASE_FORMAT</th>\n",
       "      <th>THIRD_PARTY_PUBLISHER</th>\n",
       "      <th>UPC</th>\n",
       "      <th>ISRC</th>\n",
       "      <th>RELEASE_TRACK_NAME</th>\n",
       "      <th>RELEASE_DATE</th>\n",
       "      <th>...</th>\n",
       "      <th>AVG_DIFF_RELEASE_SALES_DAYS</th>\n",
       "      <th>AVG_DIFF_RELEASE_SALES_WEEKS</th>\n",
       "      <th>MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_DAYS</th>\n",
       "      <th>MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_WEEKS</th>\n",
       "      <th>TOTAL_STREAMS</th>\n",
       "      <th>TOTAL_SKIPS</th>\n",
       "      <th>TOTAL_SAVES</th>\n",
       "      <th>SNAPSHOT_YEAR_ISOWEEK</th>\n",
       "      <th>HOLIDAY_CHRISTMAS</th>\n",
       "      <th>ROW_COUNT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>539614</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>Full Length</td>\n",
       "      <td>N</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>QMYLU1900001</td>\n",
       "      <td>Die Rockin</td>\n",
       "      <td>2019-06-14</td>\n",
       "      <td>...</td>\n",
       "      <td>105.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>200.000</td>\n",
       "      <td>29.000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019-1</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>539614</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>Full Length</td>\n",
       "      <td>N</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>QMYLU1900001</td>\n",
       "      <td>Die Rockin</td>\n",
       "      <td>2019-06-14</td>\n",
       "      <td>...</td>\n",
       "      <td>105.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>200.000</td>\n",
       "      <td>29.000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019-1</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>539614</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>Full Length</td>\n",
       "      <td>N</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>QMYLU1900001</td>\n",
       "      <td>Die Rockin</td>\n",
       "      <td>2019-06-14</td>\n",
       "      <td>...</td>\n",
       "      <td>105.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>199.000</td>\n",
       "      <td>29.000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019-1</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>539614</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>Full Length</td>\n",
       "      <td>N</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>QMYLU1900001</td>\n",
       "      <td>Die Rockin</td>\n",
       "      <td>2019-06-14</td>\n",
       "      <td>...</td>\n",
       "      <td>105.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>200.000</td>\n",
       "      <td>29.000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019-1</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>539614</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>Full Length</td>\n",
       "      <td>N</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>QMYLU1900001</td>\n",
       "      <td>Die Rockin</td>\n",
       "      <td>2019-06-14</td>\n",
       "      <td>...</td>\n",
       "      <td>105.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>200.000</td>\n",
       "      <td>29.000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019-1</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 36 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   ARTIST_ID    ARTIST_NAME    RELEASE_ID   RELEASE_NAME RELEASE_FORMAT  \\\n",
       "0     539614  Whiskey Myers  193483876009  Whiskey Myers    Full Length   \n",
       "1     539614  Whiskey Myers  193483876009  Whiskey Myers    Full Length   \n",
       "2     539614  Whiskey Myers  193483876009  Whiskey Myers    Full Length   \n",
       "3     539614  Whiskey Myers  193483876009  Whiskey Myers    Full Length   \n",
       "4     539614  Whiskey Myers  193483876009  Whiskey Myers    Full Length   \n",
       "\n",
       "  THIRD_PARTY_PUBLISHER           UPC          ISRC RELEASE_TRACK_NAME  \\\n",
       "0                     N  193483876009  QMYLU1900001         Die Rockin   \n",
       "1                     N  193483876009  QMYLU1900001         Die Rockin   \n",
       "2                     N  193483876009  QMYLU1900001         Die Rockin   \n",
       "3                     N  193483876009  QMYLU1900001         Die Rockin   \n",
       "4                     N  193483876009  QMYLU1900001         Die Rockin   \n",
       "\n",
       "  RELEASE_DATE  ... AVG_DIFF_RELEASE_SALES_DAYS AVG_DIFF_RELEASE_SALES_WEEKS  \\\n",
       "0   2019-06-14  ...                  105.000000                    15.000000   \n",
       "1   2019-06-14  ...                  105.000000                    15.000000   \n",
       "2   2019-06-14  ...                  105.000000                    15.000000   \n",
       "3   2019-06-14  ...                  105.000000                    15.000000   \n",
       "4   2019-06-14  ...                  105.000000                    15.000000   \n",
       "\n",
       "   MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_DAYS  \\\n",
       "0                                 200.000   \n",
       "1                                 200.000   \n",
       "2                                 199.000   \n",
       "3                                 200.000   \n",
       "4                                 200.000   \n",
       "\n",
       "  MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_WEEKS  TOTAL_STREAMS TOTAL_SKIPS  \\\n",
       "0                                  29.000            1.0         0.0   \n",
       "1                                  29.000            3.0         0.0   \n",
       "2                                  29.000            1.0         0.0   \n",
       "3                                  29.000            1.0         0.0   \n",
       "4                                  29.000            1.0         0.0   \n",
       "\n",
       "   TOTAL_SAVES SNAPSHOT_YEAR_ISOWEEK HOLIDAY_CHRISTMAS  ROW_COUNT  \n",
       "0          0.0                2019-1             False          1  \n",
       "1          0.0                2019-1             False          1  \n",
       "2          0.0                2019-1             False          1  \n",
       "3          0.0                2019-1             False          1  \n",
       "4          0.0                2019-1             False          1  \n",
       "\n",
       "[5 rows x 36 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "artist_prev_track_perf_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "14fe8a24",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3912858, 36)"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "artist_prev_track_perf_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "18cc9b67",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ARTIST_ID                                  0\n",
       "ARTIST_NAME                                0\n",
       "RELEASE_ID                                 0\n",
       "RELEASE_NAME                               0\n",
       "RELEASE_FORMAT                             0\n",
       "THIRD_PARTY_PUBLISHER                      0\n",
       "UPC                                        0\n",
       "ISRC                                       0\n",
       "RELEASE_TRACK_NAME                         0\n",
       "RELEASE_DATE                               0\n",
       "SALES_START_DATE                           0\n",
       "TRACKNAME                                  0\n",
       "RELEASE_GENREID                            0\n",
       "GENRENAME                                  0\n",
       "FEED_ID                                    0\n",
       "FEEDNAME                                   0\n",
       "STORE_ID                                   0\n",
       "STORENAME                                  0\n",
       "COUNTRY_CODE                               0\n",
       "SNAPSHOT_ISO_WEEK                          0\n",
       "SNAPSHOT_YEAR                              0\n",
       "RELEASE_DATE_ISO_WEEK                      0\n",
       "SALES_START_ISO_WEEK                       0\n",
       "RELEASE_DAY_OF_WEEK_ISO                    0\n",
       "RELEASE_YEAR                               0\n",
       "SALES_START_YEAR                           0\n",
       "AVG_DIFF_RELEASE_SALES_DAYS                0\n",
       "AVG_DIFF_RELEASE_SALES_WEEKS               0\n",
       "MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_DAYS     0\n",
       "MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_WEEKS    0\n",
       "TOTAL_STREAMS                              0\n",
       "TOTAL_SKIPS                                0\n",
       "TOTAL_SAVES                                0\n",
       "SNAPSHOT_YEAR_ISOWEEK                      0\n",
       "HOLIDAY_CHRISTMAS                          0\n",
       "ROW_COUNT                                  0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "artist_prev_track_perf_df.isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "725a4b8b",
   "metadata": {},
   "source": [
    "### Features (X - inputs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "4b716ea2",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "def add_text_length_feature(df, text_column='TRACKNAME'):\n",
    "    \"\"\"returns length of the string\"\"\"\n",
    "    df['TRACKNAME_LENGTH'] = df.apply(lambda row: len(row[text_column]), axis=1)\n",
    "    return df\n",
    "\n",
    "\n",
    "def add_text_language_feature(df, lang_detect_fn=detect, text_column = 'TRACKNAME'):\n",
    "    \"\"\"returns language of the text\"\"\"\n",
    "    lst_distinct_text = Counter(df[text_column]).keys()\n",
    "    distinct_text_lang_dict = {k: lang_detect_fn(k) for k in lst_distinct_text}\n",
    "    \n",
    "    df['TRACKNAME_LANG_CODE'] = df.apply(lambda row: distinct_text_lang_dict[row[text_column]], axis=1)\n",
    "\n",
    "    return df\n",
    "\n",
    "\n",
    "# categorical\n",
    "CATEGORICAL_COLS = ['ARTIST_ID', \n",
    "                   'FEED_ID',\n",
    "                   'RELEASE_GENREID',\n",
    "                   'STORE_ID',\n",
    "                   'RELEASE_FORMAT', \n",
    "                   'COUNTRY_CODE']\n",
    "# numerical cols (ints) - counting\n",
    "TIME_COLS = [\n",
    "              'RELEASE_YEAR',\n",
    "              'RELEASE_DATE_ISO_WEEK',\n",
    "              'RELEASE_DAY_OF_WEEK_ISO',\n",
    "            \n",
    "             'SNAPSHOT_YEAR', \n",
    "             'SNAPSHOT_ISO_WEEK', \n",
    "             'SNAPSHOT_YEAR_ISOWEEK',\n",
    "                \n",
    "             'SALES_START_YEAR',\n",
    "             'SALES_START_ISO_WEEK',\n",
    "             ]\n",
    "# numerical cols (float) - distance measure\n",
    "NUMERICAL_FLOAT_COLS = ['AVG_DIFF_RELEASE_SALES_DAYS', \n",
    "                        'AVG_DIFF_RELEASE_SALES_WEEKS', \n",
    "                        'MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_DAYS', \n",
    "                        'MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_WEEKS']\n",
    "# boolean cols\n",
    "BOOL_COLS = ['THIRD_PARTY_PUBLISHER', 'HOLIDAY_CHRISTMAS']\n",
    "# textual-based features\n",
    "TEXT_FEATURE_COLS = ['TRACKNAME_LENGTH']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "847b8aaf",
   "metadata": {},
   "outputs": [],
   "source": [
    "artist_prev_track_perf_df = add_text_length_feature(artist_prev_track_perf_df)\n",
    "# artist_prev_track_perf_df = add_text_language_feature(artist_prev_track_perf_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "02eb0298",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ARTIST_ID</th>\n",
       "      <th>ARTIST_NAME</th>\n",
       "      <th>RELEASE_ID</th>\n",
       "      <th>RELEASE_NAME</th>\n",
       "      <th>RELEASE_FORMAT</th>\n",
       "      <th>THIRD_PARTY_PUBLISHER</th>\n",
       "      <th>UPC</th>\n",
       "      <th>ISRC</th>\n",
       "      <th>RELEASE_TRACK_NAME</th>\n",
       "      <th>RELEASE_DATE</th>\n",
       "      <th>...</th>\n",
       "      <th>AVG_DIFF_RELEASE_SALES_WEEKS</th>\n",
       "      <th>MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_DAYS</th>\n",
       "      <th>MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_WEEKS</th>\n",
       "      <th>TOTAL_STREAMS</th>\n",
       "      <th>TOTAL_SKIPS</th>\n",
       "      <th>TOTAL_SAVES</th>\n",
       "      <th>SNAPSHOT_YEAR_ISOWEEK</th>\n",
       "      <th>HOLIDAY_CHRISTMAS</th>\n",
       "      <th>ROW_COUNT</th>\n",
       "      <th>TRACKNAME_LENGTH</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>539614</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>Full Length</td>\n",
       "      <td>N</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>QMYLU1900001</td>\n",
       "      <td>Die Rockin</td>\n",
       "      <td>2019-06-14</td>\n",
       "      <td>...</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>200.000</td>\n",
       "      <td>29.000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019-1</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>539614</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>Full Length</td>\n",
       "      <td>N</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>QMYLU1900001</td>\n",
       "      <td>Die Rockin</td>\n",
       "      <td>2019-06-14</td>\n",
       "      <td>...</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>200.000</td>\n",
       "      <td>29.000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019-1</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>539614</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>Full Length</td>\n",
       "      <td>N</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>QMYLU1900001</td>\n",
       "      <td>Die Rockin</td>\n",
       "      <td>2019-06-14</td>\n",
       "      <td>...</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>199.000</td>\n",
       "      <td>29.000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019-1</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>539614</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>Full Length</td>\n",
       "      <td>N</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>QMYLU1900001</td>\n",
       "      <td>Die Rockin</td>\n",
       "      <td>2019-06-14</td>\n",
       "      <td>...</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>200.000</td>\n",
       "      <td>29.000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019-1</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>539614</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>Whiskey Myers</td>\n",
       "      <td>Full Length</td>\n",
       "      <td>N</td>\n",
       "      <td>193483876009</td>\n",
       "      <td>QMYLU1900001</td>\n",
       "      <td>Die Rockin</td>\n",
       "      <td>2019-06-14</td>\n",
       "      <td>...</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>200.000</td>\n",
       "      <td>29.000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2019-1</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 37 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   ARTIST_ID    ARTIST_NAME    RELEASE_ID   RELEASE_NAME RELEASE_FORMAT  \\\n",
       "0     539614  Whiskey Myers  193483876009  Whiskey Myers    Full Length   \n",
       "1     539614  Whiskey Myers  193483876009  Whiskey Myers    Full Length   \n",
       "2     539614  Whiskey Myers  193483876009  Whiskey Myers    Full Length   \n",
       "3     539614  Whiskey Myers  193483876009  Whiskey Myers    Full Length   \n",
       "4     539614  Whiskey Myers  193483876009  Whiskey Myers    Full Length   \n",
       "\n",
       "  THIRD_PARTY_PUBLISHER           UPC          ISRC RELEASE_TRACK_NAME  \\\n",
       "0                     N  193483876009  QMYLU1900001         Die Rockin   \n",
       "1                     N  193483876009  QMYLU1900001         Die Rockin   \n",
       "2                     N  193483876009  QMYLU1900001         Die Rockin   \n",
       "3                     N  193483876009  QMYLU1900001         Die Rockin   \n",
       "4                     N  193483876009  QMYLU1900001         Die Rockin   \n",
       "\n",
       "  RELEASE_DATE  ... AVG_DIFF_RELEASE_SALES_WEEKS  \\\n",
       "0   2019-06-14  ...                    15.000000   \n",
       "1   2019-06-14  ...                    15.000000   \n",
       "2   2019-06-14  ...                    15.000000   \n",
       "3   2019-06-14  ...                    15.000000   \n",
       "4   2019-06-14  ...                    15.000000   \n",
       "\n",
       "  MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_DAYS  \\\n",
       "0                                200.000   \n",
       "1                                200.000   \n",
       "2                                199.000   \n",
       "3                                200.000   \n",
       "4                                200.000   \n",
       "\n",
       "   MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_WEEKS TOTAL_STREAMS  TOTAL_SKIPS  \\\n",
       "0                                   29.000           1.0          0.0   \n",
       "1                                   29.000           3.0          0.0   \n",
       "2                                   29.000           1.0          0.0   \n",
       "3                                   29.000           1.0          0.0   \n",
       "4                                   29.000           1.0          0.0   \n",
       "\n",
       "  TOTAL_SAVES  SNAPSHOT_YEAR_ISOWEEK HOLIDAY_CHRISTMAS ROW_COUNT  \\\n",
       "0         0.0                 2019-1             False         1   \n",
       "1         0.0                 2019-1             False         1   \n",
       "2         0.0                 2019-1             False         1   \n",
       "3         0.0                 2019-1             False         1   \n",
       "4         0.0                 2019-1             False         1   \n",
       "\n",
       "   TRACKNAME_LENGTH  \n",
       "0                10  \n",
       "1                10  \n",
       "2                10  \n",
       "3                10  \n",
       "4                10  \n",
       "\n",
       "[5 rows x 37 columns]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "artist_prev_track_perf_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "144cad34",
   "metadata": {},
   "source": [
    "### Target (y - outputs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "5bc0b65c",
   "metadata": {},
   "outputs": [],
   "source": [
    "TARGET_COL = ['TOTAL_STREAMS', 'TOTAL_SKIPS']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "c543b111",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "def feature_preprocessing_pipeline_factory_v1(categorical_cols=CATEGORICAL_COLS, \n",
    "                                            numerical_float_cols=NUMERICAL_FLOAT_COLS, \n",
    "                                            time_cols=TIME_COLS, \n",
    "                                            bool_cols=BOOL_COLS,\n",
    "                                            text_cols=TEXT_FEATURE_COLS):\n",
    "    \"\"\"\n",
    "        Feature processing pipeline (v1)\n",
    "        \n",
    "        params:\n",
    "            - categorical_cols (list[str]) - list of categorical features\n",
    "            - numerical_float_cols (list[str]) - list of float cols,\n",
    "            - time_cols (list[str]) - list of time features, such as ISOWEEK, YEAR.\n",
    "            - bool_cols (list[str]) - list of boolean feature\n",
    "            - has_trackname_feature (bool) - adds trackname features\n",
    "    \"\"\"\n",
    "    # categorical feature\n",
    "    categorical_features_pipeline = [\n",
    "        (\"categorical_features\", OneHotEncoder(),  categorical_cols)\n",
    "    ]\n",
    "    \n",
    "    # count cols \n",
    "    time_cols = [\n",
    "        (\"time_features\", OneHotEncoder(),  time_cols)\n",
    "    ]\n",
    "    \n",
    "    # \n",
    "    numerical_floats_features_pipeline = [\n",
    "        (\"float_features\", MinMaxScaler(),  numerical_float_cols)\n",
    "    ]\n",
    "    \n",
    "    # bool features\n",
    "    bool_features_pipeline = [\n",
    "        (\"boolean_features\", OneHotEncoder(), bool_cols),\n",
    "    ]  \n",
    "    \n",
    "    text_features_pipeline = []\n",
    "    \n",
    "    if 'TRACKNAME_LENGTH' in text_cols:\n",
    "        text_features_pipeline.append((\"trackname_length_feature\", MinMaxScaler(), ['TRACKNAME_LENGTH']))\n",
    "    if 'TRACKNAME_LANG_CODE' in text_cols:\n",
    "        text_features_pipeline.append((\"trackname_lang_feature\", OneHotEncoder(), ['TRACKNAME_LANG_CODE']))\n",
    "            \n",
    "    # column transformers\n",
    "    column_transform_fns = ColumnTransformer(transformers=categorical_features_pipeline + \\\n",
    "                                        time_cols + \\\n",
    "                                        numerical_floats_features_pipeline +\\\n",
    "                                        bool_features_pipeline + \\\n",
    "                                        text_features_pipeline,\n",
    "                               remainder = 'drop'\n",
    "                           )\n",
    "    return Pipeline(steps=[(\"feature_processor\", column_transform_fns)]) \n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "f173f368",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>div.sk-top-container {color: black;background-color: white;}div.sk-toggleable {background-color: white;}label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.2em 0.3em;box-sizing: border-box;text-align: center;}div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}div.sk-estimator {font-family: monospace;background-color: #f0f8ff;margin: 0.25em 0.25em;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;}div.sk-estimator:hover {background-color: #d4ebff;}div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 2em;bottom: 0;left: 50%;}div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;}div.sk-item {z-index: 1;}div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;}div.sk-parallel-item {display: flex;flex-direction: column;position: relative;background-color: white;}div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}div.sk-parallel-item:only-child::after {width: 0;}div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0.2em;box-sizing: border-box;padding-bottom: 0.1em;background-color: white;position: relative;}div.sk-label label {font-family: monospace;font-weight: bold;background-color: white;display: inline-block;line-height: 1.2em;}div.sk-label-container {position: relative;z-index: 2;text-align: center;}div.sk-container {display: inline-block;position: relative;}</style><div class=\"sk-top-container\"><div class=\"sk-container\"><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"6c351773-a728-4c10-a3a9-bc7f573813c6\" type=\"checkbox\" ><label class=\"sk-toggleable__label\" for=\"6c351773-a728-4c10-a3a9-bc7f573813c6\">Pipeline</label><div class=\"sk-toggleable__content\"><pre>Pipeline(steps=[('feature_processor',\n",
       "                 ColumnTransformer(transformers=[('categorical_features',\n",
       "                                                  OneHotEncoder(),\n",
       "                                                  ['ARTIST_ID', 'FEED_ID',\n",
       "                                                   'RELEASE_GENREID',\n",
       "                                                   'STORE_ID', 'RELEASE_FORMAT',\n",
       "                                                   'COUNTRY_CODE']),\n",
       "                                                 ('time_features',\n",
       "                                                  OneHotEncoder(),\n",
       "                                                  ['RELEASE_YEAR',\n",
       "                                                   'RELEASE_DATE_ISO_WEEK',\n",
       "                                                   'RELEASE_DAY_OF_WEEK_ISO',\n",
       "                                                   'SNAPSHOT_YEAR',\n",
       "                                                   'SNAPSHOT_ISO_WEEK',\n",
       "                                                   'SNAPSHOT_YEAR_ISOWE...\n",
       "                                                   'SALES_START_ISO_WEEK']),\n",
       "                                                 ('float_features',\n",
       "                                                  MinMaxScaler(),\n",
       "                                                  ['AVG_DIFF_RELEASE_SALES_DAYS',\n",
       "                                                   'AVG_DIFF_RELEASE_SALES_WEEKS',\n",
       "                                                   'MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_DAYS',\n",
       "                                                   'MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_WEEKS']),\n",
       "                                                 ('boolean_features',\n",
       "                                                  OneHotEncoder(),\n",
       "                                                  ['THIRD_PARTY_PUBLISHER',\n",
       "                                                   'HOLIDAY_CHRISTMAS']),\n",
       "                                                 ('trackname_length_feature',\n",
       "                                                  MinMaxScaler(),\n",
       "                                                  ['TRACKNAME_LENGTH'])]))])</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"c8dab652-2005-40f2-8d7f-d53eb63fdad2\" type=\"checkbox\" ><label class=\"sk-toggleable__label\" for=\"c8dab652-2005-40f2-8d7f-d53eb63fdad2\">feature_processor: ColumnTransformer</label><div class=\"sk-toggleable__content\"><pre>ColumnTransformer(transformers=[('categorical_features', OneHotEncoder(),\n",
       "                                 ['ARTIST_ID', 'FEED_ID', 'RELEASE_GENREID',\n",
       "                                  'STORE_ID', 'RELEASE_FORMAT',\n",
       "                                  'COUNTRY_CODE']),\n",
       "                                ('time_features', OneHotEncoder(),\n",
       "                                 ['RELEASE_YEAR', 'RELEASE_DATE_ISO_WEEK',\n",
       "                                  'RELEASE_DAY_OF_WEEK_ISO', 'SNAPSHOT_YEAR',\n",
       "                                  'SNAPSHOT_ISO_WEEK', 'SNAPSHOT_YEAR_ISOWEEK',\n",
       "                                  'SALES_START_YEAR', 'SALES_START_ISO_WEEK']),\n",
       "                                ('float_features', MinMaxScaler(),\n",
       "                                 ['AVG_DIFF_RELEASE_SALES_DAYS',\n",
       "                                  'AVG_DIFF_RELEASE_SALES_WEEKS',\n",
       "                                  'MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_DAYS',\n",
       "                                  'MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_WEEKS']),\n",
       "                                ('boolean_features', OneHotEncoder(),\n",
       "                                 ['THIRD_PARTY_PUBLISHER',\n",
       "                                  'HOLIDAY_CHRISTMAS']),\n",
       "                                ('trackname_length_feature', MinMaxScaler(),\n",
       "                                 ['TRACKNAME_LENGTH'])])</pre></div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"3c1cd372-4175-4520-9f01-6a711267bd21\" type=\"checkbox\" ><label class=\"sk-toggleable__label\" for=\"3c1cd372-4175-4520-9f01-6a711267bd21\">categorical_features</label><div class=\"sk-toggleable__content\"><pre>['ARTIST_ID', 'FEED_ID', 'RELEASE_GENREID', 'STORE_ID', 'RELEASE_FORMAT', 'COUNTRY_CODE']</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"c7c84fa8-a97c-441d-919a-de42a7c3ee54\" type=\"checkbox\" ><label class=\"sk-toggleable__label\" for=\"c7c84fa8-a97c-441d-919a-de42a7c3ee54\">OneHotEncoder</label><div class=\"sk-toggleable__content\"><pre>OneHotEncoder()</pre></div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"11942594-f7f3-4f85-a853-ed7e563b09b2\" type=\"checkbox\" ><label class=\"sk-toggleable__label\" for=\"11942594-f7f3-4f85-a853-ed7e563b09b2\">time_features</label><div class=\"sk-toggleable__content\"><pre>['RELEASE_YEAR', 'RELEASE_DATE_ISO_WEEK', 'RELEASE_DAY_OF_WEEK_ISO', 'SNAPSHOT_YEAR', 'SNAPSHOT_ISO_WEEK', 'SNAPSHOT_YEAR_ISOWEEK', 'SALES_START_YEAR', 'SALES_START_ISO_WEEK']</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"69d42e5b-a9a0-4d24-9145-6d51393b6140\" type=\"checkbox\" ><label class=\"sk-toggleable__label\" for=\"69d42e5b-a9a0-4d24-9145-6d51393b6140\">OneHotEncoder</label><div class=\"sk-toggleable__content\"><pre>OneHotEncoder()</pre></div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"eb14ab45-9c1d-4993-8fed-d800614bae2b\" type=\"checkbox\" ><label class=\"sk-toggleable__label\" for=\"eb14ab45-9c1d-4993-8fed-d800614bae2b\">float_features</label><div class=\"sk-toggleable__content\"><pre>['AVG_DIFF_RELEASE_SALES_DAYS', 'AVG_DIFF_RELEASE_SALES_WEEKS', 'MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_DAYS', 'MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_WEEKS']</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"b8c87848-7ffa-43fd-a9d2-e666ca544542\" type=\"checkbox\" ><label class=\"sk-toggleable__label\" for=\"b8c87848-7ffa-43fd-a9d2-e666ca544542\">MinMaxScaler</label><div class=\"sk-toggleable__content\"><pre>MinMaxScaler()</pre></div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"e2b13172-6786-4233-b7fa-ee199688dabb\" type=\"checkbox\" ><label class=\"sk-toggleable__label\" for=\"e2b13172-6786-4233-b7fa-ee199688dabb\">boolean_features</label><div class=\"sk-toggleable__content\"><pre>['THIRD_PARTY_PUBLISHER', 'HOLIDAY_CHRISTMAS']</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"c07e5f22-07ef-4898-9046-c9765214a7b1\" type=\"checkbox\" ><label class=\"sk-toggleable__label\" for=\"c07e5f22-07ef-4898-9046-c9765214a7b1\">OneHotEncoder</label><div class=\"sk-toggleable__content\"><pre>OneHotEncoder()</pre></div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"9fdcdea1-9c64-4222-9ea3-e2cf888c099a\" type=\"checkbox\" ><label class=\"sk-toggleable__label\" for=\"9fdcdea1-9c64-4222-9ea3-e2cf888c099a\">trackname_length_feature</label><div class=\"sk-toggleable__content\"><pre>['TRACKNAME_LENGTH']</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"3b7aa68d-dca2-4287-9f8c-ba3dec95bf93\" type=\"checkbox\" ><label class=\"sk-toggleable__label\" for=\"3b7aa68d-dca2-4287-9f8c-ba3dec95bf93\">MinMaxScaler</label><div class=\"sk-toggleable__content\"><pre>MinMaxScaler()</pre></div></div></div></div></div></div></div></div></div></div></div></div>"
      ],
      "text/plain": [
       "Pipeline(steps=[('feature_processor',\n",
       "                 ColumnTransformer(transformers=[('categorical_features',\n",
       "                                                  OneHotEncoder(),\n",
       "                                                  ['ARTIST_ID', 'FEED_ID',\n",
       "                                                   'RELEASE_GENREID',\n",
       "                                                   'STORE_ID', 'RELEASE_FORMAT',\n",
       "                                                   'COUNTRY_CODE']),\n",
       "                                                 ('time_features',\n",
       "                                                  OneHotEncoder(),\n",
       "                                                  ['RELEASE_YEAR',\n",
       "                                                   'RELEASE_DATE_ISO_WEEK',\n",
       "                                                   'RELEASE_DAY_OF_WEEK_ISO',\n",
       "                                                   'SNAPSHOT_YEAR',\n",
       "                                                   'SNAPSHOT_ISO_WEEK',\n",
       "                                                   'SNAPSHOT_YEAR_ISOWE...\n",
       "                                                   'SALES_START_ISO_WEEK']),\n",
       "                                                 ('float_features',\n",
       "                                                  MinMaxScaler(),\n",
       "                                                  ['AVG_DIFF_RELEASE_SALES_DAYS',\n",
       "                                                   'AVG_DIFF_RELEASE_SALES_WEEKS',\n",
       "                                                   'MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_DAYS',\n",
       "                                                   'MEDIAN_SNAPSHOT_DIST_FROM_RELEASE_WEEKS']),\n",
       "                                                 ('boolean_features',\n",
       "                                                  OneHotEncoder(),\n",
       "                                                  ['THIRD_PARTY_PUBLISHER',\n",
       "                                                   'HOLIDAY_CHRISTMAS']),\n",
       "                                                 ('trackname_length_feature',\n",
       "                                                  MinMaxScaler(),\n",
       "                                                  ['TRACKNAME_LENGTH'])]))])"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "set_config(display=\"diagram\")\n",
    "feature_preprocessing_pipeline_factory_v1()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "643aa4f6",
   "metadata": {},
   "source": [
    "### Sanity Checks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "81acea7a",
   "metadata": {},
   "outputs": [],
   "source": [
    "def check_dimensions(df):\n",
    "    # check to make sure we\n",
    "    try:\n",
    "        assert df.shape[0] == 3912858\n",
    "    except Exception as e:\n",
    "        logging.warning(\"Dataset has more rows than expected!\")\n",
    "        return None\n",
    "    \n",
    "    logging.debug(\"TEST PASSED!!!\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "ab6c0a26",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "DEBUG:absl:TEST PASSED!!!\n"
     ]
    }
   ],
   "source": [
    "check_dimensions(artist_prev_track_perf_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "2364e98c",
   "metadata": {},
   "outputs": [],
   "source": [
    "### Free up Memory\n",
    "if selected_artist_prev_perf_df is not None:\n",
    "    selected_artist_prev_perf_df = None"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "47d2b6f2",
   "metadata": {},
   "source": [
    "# (2) Modeling \n",
    "\n",
    "TODO:\n",
    "- Create Feature preprocessing pipeline\n",
    "-- Prev track performance roll-ups\n",
    "-- Track name length\n",
    "-- release format\n",
    "- Model using DCT, SVM\n",
    "- Model using XGBoost."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "8f099d97",
   "metadata": {},
   "outputs": [],
   "source": [
    "feat_pipeline_v1 = feature_preprocessing_pipeline_factory_v1()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7a22569d",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_feat = feat_pipeline_v1.fit_transform(artist_prev_track_perf_df)\n",
    "y = selected_artist_prev_perf_df['TOTAL_STREAMS']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ed087bf8",
   "metadata": {},
   "outputs": [],
   "source": [
    "def gbt_pipeline_factory():\n",
    "    \n",
    "    return Pipeline()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "id": "6bfdc98a",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.ensemble import GradientBoostingRegressor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "id": "b505c4e3",
   "metadata": {},
   "outputs": [],
   "source": [
    "gbt_regressor = GradientBoostingRegressor()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "id": "f822cd48",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import TimeSeriesSplit\n",
    "\n",
    "ts_cv = TimeSeriesSplit(\n",
    "    n_splits=5,\n",
    "    gap=48,\n",
    "    max_train_size=10000,\n",
    "    test_size=1000,\n",
    ")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e146173d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "id": "e10e9f5e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Absolute Error:     1198.901 +/- 516.889\n",
      "Root Mean Squared Error: 15497.384 +/- 7437.893\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import cross_validate\n",
    "def evaluate(model, X, y, cv):\n",
    "    cv_results = cross_validate(\n",
    "        model,\n",
    "        X,\n",
    "        y,\n",
    "        cv=cv,\n",
    "        scoring=[\"neg_mean_absolute_error\", \"neg_root_mean_squared_error\"],\n",
    "    )\n",
    "    mae = -cv_results[\"test_neg_mean_absolute_error\"]\n",
    "    rmse = -cv_results[\"test_neg_root_mean_squared_error\"]\n",
    "    print(\n",
    "        f\"Mean Absolute Error:     {mae.mean():.3f} +/- {mae.std():.3f}\\n\"\n",
    "        f\"Root Mean Squared Error: {rmse.mean():.3f} +/- {rmse.std():.3f}\"\n",
    "    )\n",
    "\n",
    "\n",
    "evaluate(model=gbt_regressor, X=X_feat, y=y, cv=ts_cv)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "064628c3",
   "metadata": {},
   "source": [
    "## Pipeline v2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "c0de47ab",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "def feature_preprocessing_pipeline_factory_v2(categorical_cols=CATEGORICAL_COLS, \n",
    "                                            numerical_float_cols=NUMERICAL_FLOAT_COLS, \n",
    "                                            time_cols=TIME_COLS, \n",
    "                                            bool_cols=BOOL_COLS,\n",
    "                                            text_cols=TEXT_FEATURE_COLS):\n",
    "    # categorical feature\n",
    "    categorical_features_pipeline = [\n",
    "        (\"categorical_one_hot_encode\", OneHotEncoder(),  categorical_cols)\n",
    "    ]\n",
    "    \n",
    "    # count cols \n",
    "    time_cols = [\n",
    "        (\"count_cols_one_hot_encode\", OneHotEncoder(),  time_cols)\n",
    "    ]\n",
    "    \n",
    "    # \n",
    "    numerical_floats_features_pipeline = [\n",
    "        (\"float_cols_minmax_scaler\", MinMaxScaler(),  numerical_float_cols)\n",
    "    ]\n",
    "    \n",
    "    # bool features\n",
    "    bool_features_pipeline = [\n",
    "        (\"bool_one_hot_encode\", OneHotEncoder(), bool_cols)\n",
    "    ]\n",
    "    \n",
    "#     # text_features\n",
    "    text_cols_pipeline = [\n",
    "        (\"text_length\", Pipeline(steps=[(\"text_length\", text_length_transformer), \n",
    "                                        (\"text_length_scaling\", MinMaxScaler())]), text_cols),\n",
    "        (\"text_lang\", Pipeline(steps=[(\"language_detect\", text_lang_transformer),\n",
    "                                      (\"lang_code_encoding\", OneHotEncoder())]), text_cols) \n",
    "    ]\n",
    "    \n",
    "\n",
    "    # column transformers\n",
    "    ct = ColumnTransformer(transformers=categorical_features_pipeline + \\\n",
    "                                        time_cols + \\\n",
    "                                        numerical_floats_features_pipeline +\\\n",
    "                                        bool_features_pipeline,\n",
    "                           remainder = 'drop'\n",
    "                           )\n",
    "    return Pipeline(steps=[(\"feature_processing\", ct)]) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b94c5e50",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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