"dimension" "dimension_group" "measure" "filter" "view_label" "label" "description" "timeframes" "hidden" "suggestable" "sql" "sql_case" "type" "value_format" "field_name" "alias" "primary_key" "filters" "decimals" "tiers" "style" "suggest_explore" "suggest_dimension" "case_sensitive" "html" "value_format_name" "currency_exchange_rate_at_inbound" NA NA NA "''" "currency_exchange_rate_at_inbound" "''" NA NA NA "${TABLE}.currency_exchange_rate_at_inbound" NA "number" "'[>=1000000]#,##0.0,,"" M""; [>=10 OR =0]#,##0; [>=.0000001]#,##0.0000'" NA "currency_exchange_rate_at_inbound_dimension" NA NA "8" NA NA NA NA NA NA NA "currency_exchange_rate_at_payout" NA NA NA "''" "currency_exchange_rate_at_payout" "''" NA NA NA "${TABLE}.currency_exchange_rate_at_payout" NA "number" "'[>=1000000]#,##0.0,,"" M""; [>=10 OR =0]#,##0; [>=.0000001]#,##0.0000'" NA "currency_exchange_rate_at_payout_dimension" NA NA "8" NA NA NA NA NA NA NA NA NA "fees_cloud_publishing_ccur" NA "''" "fees_cloud_publishing_ccur" "''" NA NA NA "${TABLE}.fees_cloud_publishing_ccur" NA "sum" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA NA NA NA "8" NA NA NA NA NA NA NA "fees_cloud_publishing_ccur_dimension" NA NA NA "''" "fees_cloud_publishing_ccur_dimension" "''" NA "TRUE" NA "${TABLE}.fees_cloud_publishing_ccur" NA "number" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA "fees_cloud_publishing_ccur_categorically" NA NA "8" NA NA NA NA NA NA NA NA NA "fees_cloud_publishing_usd" NA "''" "fees_cloud_publishing_usd" "''" NA NA NA "${TABLE}.fees_cloud_publishing_usd" NA "sum" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA NA NA NA "8" NA NA NA NA NA NA NA "fees_cloud_publishing_usd_dimension" NA NA NA "''" "fees_cloud_publishing_usd_dimension" "''" NA "TRUE" NA "${TABLE}.fees_cloud_publishing_usd" NA "number" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA "fees_cloud_publishing_usd_categorically" NA NA "8" NA NA NA NA NA NA NA NA NA "fees_distribution_ccur" NA "''" "fees_distribution_ccur" "''" NA NA NA "${TABLE}.fees_distribution_ccur" NA "sum" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA NA NA NA "8" NA NA NA NA NA NA NA "fees_distribution_ccur_dimension" NA NA NA "''" "fees_distribution_ccur_dimension" "''" NA "TRUE" NA "${TABLE}.fees_distribution_ccur" NA "number" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA "fees_distribution_ccur_categorically" NA NA "8" NA NA NA NA NA NA NA NA NA "fees_distribution_usd" NA "''" "fees_distribution_usd" "''" NA NA NA "${TABLE}.fees_distribution_usd" NA "sum" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA NA NA NA "8" NA NA NA NA NA NA NA "fees_distribution_usd_dimension" NA NA NA "''" "fees_distribution_usd_dimension" "''" NA "TRUE" NA "${TABLE}.fees_distribution_usd" NA "number" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA "fees_distribution_usd_categorically" NA NA "8" NA NA NA NA NA NA NA NA NA "fees_mechanical_admin_ccur" NA "''" "fees_mechanical_admin_ccur" "''" NA NA NA "${TABLE}.fees_mechanical_admin_ccur" NA "sum" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA NA NA NA "8" NA NA NA NA NA NA NA "fees_mechanical_admin_ccur_dimension" NA NA NA "''" "fees_mechanical_admin_ccur_dimension" "''" NA "TRUE" NA "${TABLE}.fees_mechanical_admin_ccur" NA "number" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA "fees_mechanical_admin_ccur_categorically" NA NA "8" NA NA NA NA NA NA NA NA NA "fees_mechanical_admin_usd" NA "''" "fees_mechanical_admin_usd" "''" NA NA NA "${TABLE}.fees_mechanical_admin_usd" NA "sum" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA NA NA NA "8" NA NA NA NA NA NA NA "fees_mechanical_admin_usd_dimension" NA NA NA "''" "fees_mechanical_admin_usd_dimension" "''" NA "TRUE" NA "${TABLE}.fees_mechanical_admin_usd" NA "number" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA "fees_mechanical_admin_usd_categorically" NA NA "8" NA NA NA NA NA NA NA "isrc_id" NA NA NA "''" "isrc_id" "''" NA "TRUE" NA "${TABLE}.isrcid" NA "int" "'####'" NA NA NA NA "0" NA NA NA NA NA NA NA NA NA "count_distinct_isrcs" NA "''" "number_of_isrcs" "'Unique ISRC counts (by group; within your filters)'" NA "FALSE" "FALSE" "${TABLE}.isrcid" NA "count_distinct" "'#,###'" NA NA NA NA "0" NA NA NA NA NA NA NA NA NA "number_of_rows" NA "''" "number_of_rows" "'row count for group based on table bi.accounting'" NA NA NA NA NA "count" NA NA NA NA NA NA NA NA NA NA NA NA NA "original_currency_code" NA NA NA "''" "original_currency_code" "''" NA NA NA "${TABLE}.original_currency_code" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "original_currency_id" NA NA NA "''" "original_currency_id" "''" NA NA NA "${TABLE}.original_currency_id" NA "int" "'####'" NA "original_currency_id" NA NA "0" NA NA NA NA NA NA NA "p_line" NA NA NA "''" "p_line" "''" NA NA NA "${TABLE}.p_line" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "partner_commission" NA "''" "partner_commission" "''" NA "TRUE" NA "${TABLE}.partner_commission" NA "sum" "'[>=1000000]#,##0.0,,"" M""; [>=10 OR =0]#,##0; [>=.0000001]#,##0.0000'" NA NA NA NA "8" NA NA NA NA NA NA NA "payout_currency_code" NA NA NA "''" "payout_currency_code" "''" NA NA NA "${TABLE}.payout_currency_code" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "payout_currency_id" NA NA NA "''" "payout_currency_id" "''" NA NA NA "${TABLE}.payout_currency_id" NA "int" "'####'" NA "payout_currency_id" NA NA "0" NA NA NA NA NA NA NA NA NA "retail_price" NA "''" "retail_price" "''" NA NA NA "${TABLE}.retail_price" NA "sum" "'[>=1000000]#,##0.0,,"" M""; [>=10 OR =0]#,##0; [>=.0000001]#,##0.0000'" NA "retail_price" NA NA "8" NA NA NA NA NA NA NA "retail_price_dimension" NA NA NA "''" "retail_price_dimension" "''" NA "TRUE" NA "${TABLE}.retail_price" NA "number" "'[>=1000000]#,##0.0,,"" M""; [>=10 OR =0]#,##0; [>=.0000001]#,##0.0000'" NA "[retail_price_dimension,retail_price_categorically]" NA NA "8" NA NA NA NA NA NA NA NA NA "currency_exchange_rate_at_inbound_sum" NA "''" "sum_of_currency_exchange_rate_at_inbound" "'Aggregated Total of Currency Exchange Rate at Inbound'" NA NA NA "${TABLE}.currency_exchange_rate_at_inbound" NA "sum" "'[>=1000000]#,##0.0,,"" M""; [>=10 OR =0]#,##0; [>=.0000001]#,##0.0000'" NA NA NA NA "8" NA NA NA NA NA NA NA NA NA "currency_exchange_rate_at_payout_sum" NA "''" "sum_of_currency_exchange_rate_at_payout" "'Aggregated Total of Currency Exchange Rate at Payout'" NA NA NA "${TABLE}.currency_exchange_rate_at_payout" NA "sum" "'[>=1000000]#,##0.0,,"" M""; [>=10 OR =0]#,##0; [>=.0000001]#,##0.0000'" NA NA NA NA "8" NA NA NA NA NA NA NA "third_party_publisher" NA NA NA "''" "third_party_publisher" "''" NA NA NA "${TABLE}.third_party_publisher" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "unknown_fx_spread_usd" NA "''" "unknown_fx_spread_usd" "''" NA NA NA "${TABLE}.unknown_fx_spread_usd" NA "sum" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA NA NA NA "8" NA NA NA NA NA NA NA "unknown_fx_spread_usd_dimension" NA NA NA "''" "unknown_fx_spread_usd_dimension" "''" NA "TRUE" NA "${TABLE}.unknown_fx_spread_usd" NA "number" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA "unknown_fx_spread_usd_categorically" NA NA "8" NA NA NA NA NA NA NA "new_releases_during_this_year" NA NA NA "date" "'new_releases_during_this_year'" "''" NA NA NA NA "\n 'New Releases': ${TABLE}.release_front_mid_or_cat = 'Frontline'\n else: 'Catalog'" "string" NA NA NA NA NA NA NA NA NA NA NA NA NA NA "accounting_month" NA NA "date" "accounting" "'Month & Year based on Accounting Date - when the transaction was processed by Finance. Use this when doing financial reporting'" "[year, month, month_num]" NA NA "${TABLE}.accounting_month" NA "time" NA NA "accounting_month" NA NA NA NA NA NA NA NA NA NA "accounting_month_name" NA NA NA "date" "accounting_month_name" "''" NA NA NA "${TABLE}.accounting_month_name" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "accounting_quarter" NA NA NA "date" "accounting_quarter" "''" NA NA NA "${TABLE}.accounting_quarter" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "accounting_quarter_and_year" NA NA NA "date" "accounting_quarter_and_year" "''" NA NA NA "${TABLE}.accounting_quarter_and_year" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA NA "activity_month" NA NA "date" "activity" "'Month & Year based on Activity Date - when the transaction occurred. Use this when Analyzing the business, trends, forecasting'" "[year, month, month_num]" NA NA "${TABLE}.activity_month" NA "time" NA NA "activity_month" NA NA NA NA NA NA NA NA NA NA "activity_month_name" NA NA NA "date" "activity_month_name" "''" NA NA NA "${TABLE}.activity_month_name" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "activity_quarter" NA NA NA "date" "activity_quarter" "''" NA NA NA "${TABLE}.activity_quarter" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "activity_quarter_and_year" NA NA NA "date" "activity_quarter_and_year" "''" NA NA NA "${TABLE}.activity_quarter_and_year" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA NA "artist_date_created" NA NA "date" "artist_created" "''" "[year, month, month_num, date, day_of_week, week, time, hour]" NA NA "${TABLE}.artist_date_created" NA "time" NA NA "artist_date_created" NA NA NA NA NA NA NA NA NA NA "last_12_months_activity" NA NA NA "date" "last_12_months_of_activity" "'Last 12 Months of Activity and 12 Months Prior'" NA NA NA "|\n CASE WHEN activity_month >= '2015-03-01' and ${TABLE}.activity_month <'2016-03-01' THEN 'FY2016'\n WHEN activity_month >= '2014-03-01' and ${TABLE}.activity_month <'2015-03-01' THEN 'FY2015'\n ELSE 'Rest of activity'\n END" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "five_years" NA NA NA "date" "release_months_since_release_in_five_years" "''" NA NA NA "${TABLE}.release_months_since_release" NA "tier" "'[>=1000000]#,##0.0,,\ M\; #,###'" NA NA NA NA NA "[0,18,78,138,198,258,318,378,438,498]" "integer" NA NA NA NA NA "is_in_label_country" NA NA NA "bucket" "country_of_sale_is_label_country" "'Label Country = Country Name'" NA NA NA "${label_country}=${country_name}" NA "yesno" NA NA NA NA NA NA NA NA NA NA NA NA NA "crossed_music_vs_viedo" NA NA NA "bucket" "is_product_and_transac_type_crossed?" "''" NA NA NA "|\n ${music_vs_video_by_product} != ${music_vs_video_by_transac}" NA "yesno" NA NA NA NA NA NA NA NA NA NA NA NA NA "film_tv_vs_music_by_product" NA NA NA "bucket" "music_vs_film/tv_by_product_type" "'Music (includes Web videos) vs Film/TV'" NA NA NA NA "\n 'Music': ${TABLE}.release_product_type in ('Music','Web Videos')\n 'Film/TV': ${TABLE}.release_product_type in ('Movie', 'TV Show')\n else: 'Other'" "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "music_vs_video" NA NA NA "bucket" "music_vs_video" "''" NA NA NA "${TABLE}.music_vs_video" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "music_vs_video_by_product" NA NA NA "bucket" "music_vs_video_by_product" "'Groups Web Videos into ""Video"", which would exclude most of YouTube Revenue'" NA NA "TRUE" "${TABLE}.music_vs_video_by_product" NA "string" NA NA NA NA NA NA NA NA "bi_release_with_metadata_view" "bi_release_with_metadata_view.music_vs_video_by_product" NA NA NA "music_vs_video_by_tracktype" NA NA NA "bucket" "music_vs_video_by_tracktype" "''" NA NA NA "${TABLE}.music_vs_video_by_tracktype" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "music_vs_video_by_transac" NA NA NA "bucket" "music_vs_video_by_transac" "''" NA NA "TRUE" "${TABLE}.music_vs_video_by_transac" NA "string" NA NA NA NA NA NA NA NA "bi_transactiontype_view" "bi_transactiontype_view.music_vs_video_by_transac" NA NA NA "is_in_sme_label_country" NA NA NA "bucket" "sme_country_of_sale_is_sme_label_country" "'SME Label Country = SME Country of Sale'" NA NA NA "${sme_affiliate_label_country_groupings}=${sme_affiliate_territory_groupings}" NA "yesno" NA NA NA NA NA NA NA NA NA NA NA NA NA "stream_vs_download" NA NA NA "bucket" "stream_vs_download" "''" NA NA "TRUE" "${TABLE}.stream_vs_download" NA "string" NA NA NA NA NA NA NA NA "bi_transactiontype_view" "bi_transactiontype_view.stream_vs_download" NA NA NA "store_group" NA NA NA "store" "group" "''" NA NA "TRUE" NA "\n 'Apple': ${TABLE}.store_group = 'Apple'\n 'Spotify': ${TABLE}.store_group = 'Spotify'\n 'YouTube': ${TABLE}.store_group = 'YouTube'\n 'Amazon': ${TABLE}.store_group = 'Amazon'\n 'Google': ${TABLE}.store_group = 'Google'\n 'deezer': ${TABLE}.store_group = 'deezer'\n 'Rhapsody': ${TABLE}.store_group = 'Rhapsody'\n 'Xbox': ${TABLE}.store_group = 'Xbox'\n 'eMusic': ${TABLE}.store_group = 'eMusic'\n 'rDio': ${TABLE}.store_group = 'rDio'\n 'Vevo': ${TABLE}.store_group = 'Vevo'\n 'Muve': ${TABLE}.store_group = 'Muve'\n 'MediaNet': ${TABLE}.store_group = 'MediaNet'\n 'Tidal': ${TABLE}.store_group = 'Tidal'\n 'Verizon': ${TABLE}.store_group = 'Verizon'\n 'Film Biz Stores': ${TABLE}.store_group = 'Film Biz Stores'\n 'zUncategorized Store': ${TABLE}.store_group = 'zUncategorized Store'\n else: ${TABLE}.store_group" "string" NA NA NA NA NA NA NA NA "bi_store_view" "bi_store_view.store_group" NA NA NA "store_id" NA NA NA "store" "id" "'Unique Identifier for each Store/Customer/DMS in our system. Best used when filtering to specific stores'" NA NA "TRUE" "${TABLE}.storeid" NA "int" "'####'" NA NA NA NA "0" NA NA "bi_store_view" "bi_store_view.store_id" NA NA NA "store_is_in_analytics" NA NA NA "store" "is_in_analytics" "''" NA NA NA "${TABLE}.store_is_in_analytics = 1" NA "yesno" NA NA NA NA NA NA NA NA NA NA NA NA NA "itunes_applemusic_spotify_youtube_other" NA NA NA "store" "is_itunes,_apple_music,_spotify,_youtube,_or_other" "'Has four values: iTunes, Spotify, YouTube and All Others; YouTube includes Subscriptions (453 & 569)'" NA NA NA NA "\n 'iTunes' : ${store_name_separating_am} = 'iTunes'\n 'Apple Music' : ${store_name_separating_am} = 'Apple Music'\n 'Spotify' : ${TABLE}.storeid = 286\n 'YouTube' : ${TABLE}.storeid in (453, 569)\n else: 'All Others'" "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "itunes_spotify_deezer_rhapsody_amazon_google_other" NA NA NA "store" "is_itunes,_spotify,_deezer,_rhapsody,_amazon,_google,_or_other" "'Rhapsody is both Rhapsody + Napster'" NA NA NA NA "\n 'iTunes/Apple' : ${TABLE}.storeid = 1\n 'Spotify' : ${TABLE}.storeid = 286\n 'Amazon' : ${TABLE}.storeid = 187\n 'Google Play' : ${TABLE}.storeid = 496\n 'Deezer' : ${TABLE}.storeid = 348\n 'Rhapsody' : ${TABLE}.storeid in (4, 2)\n else: 'All Others'" "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "itunes_spotify_deezer_rhapsody_amazon_google_youtube_other" NA NA NA "store" "is_itunes,_spotify,_deezer,_rhapsody,_amazon,_google,_youtube,_or_other" "'Rhapsody is both Rhapsody + Napster'" NA NA NA NA "\n 'iTunes/Apple' : ${TABLE}.storeid = 1\n 'Spotify' : ${TABLE}.storeid = 286\n 'Amazon' : ${TABLE}.storeid = 187\n 'Google Play' : ${TABLE}.storeid = 496\n 'Deezer' : ${TABLE}.storeid = 348\n 'Rhapsody' : ${TABLE}.storeid in (4, 2)\n 'YouTube' : ${TABLE}.storeid = 453\n else: 'All Others'" "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "store_is_primarily_video_products" NA NA NA "store" "is_primarily_video_products" "''" NA NA NA "${TABLE}.store_is_primarily_video_products = 1" NA "yesno" NA NA NA NA NA NA NA NA NA NA NA NA NA "is_store_itunesusa" NA NA NA "store" "is_store_itunesusa" "''" NA NA NA "${TABLE}.is_store_itunesusa = 1" NA "yesno" NA NA NA NA NA NA NA NA NA NA NA NA NA "store_name" NA NA NA "store" "name" "'The name of a Store/Customer/DMS in our system'" NA NA "TRUE" "${TABLE}.store_name" NA "string" NA NA NA NA NA NA NA NA "bi_store_view" "bi_store_view.store_name" "FALSE" NA NA "store_name_full" NA NA NA "store" "name_full" "''" NA NA "TRUE" "${TABLE}.store_name_full" NA "string" NA NA NA NA NA NA NA NA "bi_store_view" "bi_store_view.store_name_full" "FALSE" NA NA "store_name_separating_am" NA NA NA "store" "name_separating_am" "''" NA "true" "FALSE" "|\n CASE WHEN ${TABLE}.storeid = 1 AND ${TABLE}.transac_typeid = 1 THEN 'Apple Music'\n WHEN ${TABLE}.storeid = 1 THEN 'iTunes'\n ELSE ${TABLE}.store_name\n END" NA "string" NA NA NA NA NA NA NA NA "bi_store_view" "bi_store_view.store_name" "FALSE" NA NA NA NA "count_distinct_stores" NA "store" "number_of_stores" "'Unique Store counts (by group; within your filters)'" NA "FALSE" "FALSE" "${TABLE}.storeid" NA "count_distinct" "'#,###'" NA NA NA NA "0" NA NA NA NA NA NA NA "spotify_or_other" NA NA NA "store" "spotify_or_other" NA NA NA NA NA "\n 'Spotify': ${TABLE}.storeid = 286\n else: 'Other'" "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "store_uses_royaltydollar" NA NA NA "store" "uses_royaltydollar" "''" NA NA NA "${TABLE}.store_uses_royaltydollar = 1" NA "yesno" NA NA NA NA NA NA NA NA NA NA NA NA NA "youtube_other" NA NA NA "store" "youtube_or_other" "'YouTube or Other'" NA NA NA NA "\n 'YT Audio': ${TABLE}.storeid = 453 and ${TABLE}.transac_type_abbr = 'AS'\n 'YT Video': ${TABLE}.storeid = 453 and ${TABLE}.transac_type_abbr = 'AV'\n else: 'Others'" "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "label_client_manager" NA NA NA "label" "client_manager" "''" NA NA NA "${TABLE}.label_client_manager" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "label_client_manager_group" NA NA NA "label" "client_manager_group" "''" NA NA NA "|\n CASE WHEN ${TABLE}.label_client_manager in ('Jeremy Rosen','Jennifer Schwartz','Andrew Tell','Doug Shineman','Ben Markowitz','Monisha Gandhi','Maggie Leyden','Abraham Schwartz','Unassigned','Marc Cuevas')\n THEN 'Film Team'\n ELSE 'Music'\n END" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "label_id" NA NA NA "label" "id" "'Unique Identifier for each Label (Client/Vendor) in our system. Best used when filtering to a specific label/group of labels'" NA NA "TRUE" "${TABLE}.labelid" NA "int" "'####'" NA NA NA NA "0" NA NA "bi_label_view" "bi_label_view.label_id" NA NA NA "label_is_dthree" NA NA NA "label" "is_dthree" "''" NA NA NA "${TABLE}.label_is_dthree = 1" NA "yesno" NA NA NA NA NA NA NA NA NA NA NA NA NA "label_is_ioda" NA NA NA "label" "is_ioda" "''" NA NA NA "${TABLE}.label_is_ioda = 1" NA "yesno" NA NA NA NA NA NA NA NA NA NA NA NA NA "label_is_o_and_o" NA NA NA "label" "is_o_and_o" "''" NA NA NA "${TABLE}.label_is_o_and_o = 1" NA "yesno" NA NA NA NA NA NA NA NA NA NA NA NA NA "label_is_orchard_test_label" NA NA NA "label" "is_orchard_test_label" "''" NA NA NA "${TABLE}.label_is_orchard_test_label = 1" NA "yesno" NA NA NA NA NA NA NA NA NA NA NA NA NA "label_is_red" NA NA NA "label" "is_red" "'Filters out RED labels. Leaves in Allegro and Select-O-Hits'" NA NA NA "|\n ${TABLE}.label_sc_group = 'RED'" NA "yesno" NA NA NA NA NA NA NA NA NA NA NA NA NA "label_is_red_or_odd" NA NA NA "label" "is_red_or_allegro" "'Filters out RED labels. Leaves in Allegro and Select-O-Hits'" NA NA NA "|\n ${TABLE}.label_sc_group = 'RED'" NA "yesno" NA NA NA NA NA NA NA NA NA NA NA NA NA "main_portuguese_labels_or_other" NA NA NA "label" "main_portuguese_labels_or_other" "'Portuguese Main Labels or Other'" NA NA NA NA "\n 'Vidisco' : ${TABLE}.labelid = 11054\n 'Farol' : ${TABLE}.labelid = 11055\n 'Fantasy Day Unipessoal' : ${TABLE}.labelid = 11002\n 'Espacial' : ${TABLE}.labelid = 11249\n 'Ovaçao' : ${TABLE}.labelid = 10893\n else : 'Other'" "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "label_name" NA NA NA "label" "name" "'Descriptive metadata for identifying our Labels - this is a non-unique value'" NA NA "TRUE" "${TABLE}.label_name" NA "string" NA NA NA NA NA NA NA NA "bi_label_view" "bi_label_view.label_name" "FALSE" NA NA NA NA "count_distinct_label_owners" NA "label" "number_of_label_owners" "'Unique Label Owner counts (by group; within your filters)'" NA "FALSE" "FALSE" "${TABLE}.label_ownerid" NA "count_distinct" "'#,###'" NA NA NA NA "0" NA NA NA NA NA NA NA NA NA "count_distinct_labels" NA "label" "number_of_labels" "'Unique Label counts (by group; within your filters)'" NA "FALSE" "FALSE" "${TABLE}.labelid" NA "count_distinct" "'#,###'" NA NA NA NA "0" NA NA NA NA NA NA NA "label_owner" NA NA NA "label" "owner" "''" NA NA NA "${TABLE}.label_owner" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "label_owner_id" NA NA NA "label" "owner_id" "''" NA NA NA "${TABLE}.label_ownerid" NA "int" "'####'" NA NA NA NA "0" NA NA NA NA NA NA NA "label_priority" NA NA NA "label" "priority" "''" NA NA NA "${TABLE}.label_priority" NA "int" "'####'" NA NA NA NA "0" NA NA NA NA NA NA NA "label_is_som_livre" NA NA NA "label" "som_livre_or_other" "'Som Livre or Other'" NA NA NA NA "\n 'Som Livre' : ${TABLE}.labelid = 21786\n else : 'Other'" "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "label_status" NA NA NA "label" "status" "''" NA NA NA "${TABLE}.label_status" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "label_sc_group" NA NA NA "label" "supply_chain_group" "''" NA NA NA "${TABLE}.label_sc_group" NA "string" NA NA "sc_group" NA NA NA NA NA NA NA NA NA NA "top_10_labels_in_2014" NA NA NA "label" "top_10_labels_in_2014" "''" NA NA NA "|\n CASE\n WHEN label_rank_bi_accounting_by_revenue_2014.label_rank_for_2014 > 10 THEN 'Other'\n else bi_accounting.label_name\n end" NA "string" NA NA NA NA NA NA NA NA NA NA "FALSE" NA NA "top_10_labels_in_2015" NA NA NA "label" "top_10_labels_in_2015" "''" NA NA NA "|\n CASE\n WHEN label_rank_bi_accounting_by_revenue_2015.label_rank_for_2015 > 10 THEN 'Other'\n else bi_accounting.label_name\n end" NA "string" NA NA NA NA NA NA NA NA NA NA "FALSE" NA NA "top_5_labels_in_2014" NA NA NA "label" "top_5_labels_in_2014" "''" NA NA NA "|\n CASE\n WHEN label_rank_bi_accounting_by_revenue_2014.label_rank_for_2014 > 5 THEN 'Other'\n else bi_accounting.label_name\n end" NA "string" NA NA NA NA NA NA NA NA NA NA "FALSE" NA NA "top_5_labels_in_2015" NA NA NA "label" "top_5_labels_in_2015" "''" NA NA NA "|\n CASE\n WHEN label_rank_bi_accounting_by_revenue_2015.label_rank_for_2015 > 5 THEN 'Other'\n else bi_accounting.label_name\n end" NA "string" NA NA NA NA NA NA NA NA NA NA "FALSE" NA NA "label_type" NA NA NA "label" "type" "''" NA NA NA "${TABLE}.label_type" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA NA "release_date" NA NA "release" "label" "''" "[year, month, month_num, date, day_of_week, week]" NA NA "${TABLE}.release_date" NA "time" NA NA "date" NA NA NA NA NA NA NA NA NA NA "upc" NA NA NA "release" "upc" "'Unique Identifier for each release level product in our system. Best used when filtering to specific releases'" NA NA NA "${TABLE}.releaseid" NA "string" NA NA "releaseid" NA NA NA NA NA NA NA NA NA NA NA "release_date_added" NA NA "release" "added" "''" "[year, month, month_num, date, day_of_week, week]" NA NA "${TABLE}.release_date_added" NA "time" NA NA "date_added" NA NA NA NA NA NA NA NA NA NA "album_vs_track" NA NA NA "release" "album_vs_track" "''" NA NA "TRUE" "${TABLE}.album_vs_track" NA "string" NA NA NA NA NA NA NA NA "bi_transactiontype_view" "bi_transactiontype_view.album_vs_track" NA NA NA NA NA "release_avg_number_of_tracks_per_cd" NA "release" "avg_number_of_tracks_per_cd" "''" NA NA NA "${TABLE}.release_avg_number_of_tracks_per_cd" NA "sum" "'[>=1000000]#,##0.0,,"" M""; [>=10 OR =0]#,##0; [>=.0000001]#,##0.0000'" NA NA NA NA "8" NA NA NA NA NA NA NA "release_avg_number_of_tracks_per_cd_dimension" NA NA NA "release" "avg_number_of_tracks_per_cd_dimension" "''" NA "TRUE" NA "${TABLE}.release_avg_number_of_tracks_per_cd" NA "number" "'[>=1000000]#,##0.0,,"" M""; [>=10 OR =0]#,##0; [>=.0000001]#,##0.0000'" NA "release_avg_number_of_tracks_per_cd_categorically" NA NA "8" NA NA NA NA NA NA NA "release_catalog_id" NA NA NA "release" "catalog_id" "''" NA NA NA "${TABLE}.release_catalogid" NA "int" "'####'" NA NA NA NA "0" NA NA NA NA NA NA NA "release_front_mid_or_cat" NA NA NA "release" "front_mid_or_cat" "''" NA NA NA "${TABLE}.release_front_mid_or_cat" NA "string" NA NA "release_cat_mid_front" NA NA NA NA NA NA NA NA NA NA "release_front_mid_or_cat_spotify_definition" NA NA NA "release" "front_mid_or_cat_spotify_definition" "''" NA NA NA "${TABLE}.release_front_mid_or_cat_spotify_definition" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "release_front_mid_or_cat_today" NA NA NA "release" "front_mid_or_cat_today" "''" NA "TRUE" NA "${TABLE}.release_front_mid_or_cat_today" NA "string" NA NA "release_cat_mid_front_today" NA NA NA NA NA NA NA NA NA NA "release_genre" NA NA NA "release" "genre" "''" NA NA "TRUE" "${TABLE}.release_genre" NA "string" NA NA NA NA NA NA NA NA "bi_genre_view" "bi_genre_view.genre" NA NA NA "release_genre_subgenre" NA NA NA "release" "genre_(w/subgenre)" "'Genre with subgenre in parens'" NA NA NA "${TABLE}.release_genre" NA "string" NA NA NA NA NA NA NA NA NA NA NA "|\n {% if release_subgenre._value == blank %}\n {{ value }}\n {% else %}\n {{ value }} ({{ release_subgenre._value }})\n {% endif %}" NA "release_genre_group" NA NA NA "release" "genre_group" "''" NA NA "TRUE" "${TABLE}.release_genre_group" NA "string" NA NA NA NA NA NA NA NA "bi_genre_view" "bi_genre_view.genre_group" NA NA NA "release_genre_group_less" NA NA NA "release" "genre_group_less" "''" NA NA "TRUE" "${TABLE}.release_genre_group_less" NA "string" NA NA NA NA NA NA NA NA "bi_genre_view" "bi_genre_view.genre_group_less" NA NA NA "release_genre_classical" NA NA NA "release" "genre_is_classical" "'Genre with subgenre in parens'" NA NA NA NA "\n 'Classical': ${TABLE}.release_genre = 'Classical'\n else: 'Other'" "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "release_genre_jazz" NA NA NA "release" "genre_is_jazz" "'Genre with subgenre in parens'" NA NA NA NA "\n 'Jazz': ${TABLE}.release_genre = 'Jazz'\n else: 'Other'" "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "release_genre_latin" NA NA NA "release" "genre_is_latin" "'Genre with subgenre in parens'" NA NA NA NA "\n 'Latin Music': ${TABLE}.release_genre = 'Latin Music'\n else: 'Other'" "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "release_genre_world_music" NA NA NA "release" "genre_is_world_music" "'Genre with subgenre in parens'" NA NA NA NA "\n 'World Music': ${TABLE}.release_genre = 'World Music'\n else: 'Other'" "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "release_id" NA NA NA "release" "id" "''" NA "TRUE" "TRUE" "${TABLE}.releaseid" NA "int" "'####'" NA NA NA NA "0" NA NA "bi_release_with_metadata_view" "bi_release_with_metadata_view.release_id" NA NA NA "release_imprint" NA NA NA "release" "imprint" "''" NA NA NA "${TABLE}.release_imprint" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "release_is_compilation" NA NA NA "release" "is_compilation" "''" NA NA NA "${TABLE}.release_is_compilation = 1" NA "yesno" NA NA NA NA NA NA NA NA NA NA NA NA NA "release_is_deleted" NA NA NA "release" "is_deleted" "''" NA NA NA "${TABLE}.release_is_deleted = 1" NA "yesno" NA NA NA NA NA NA NA NA NA NA NA NA NA "release_is_digital_only" NA NA NA "release" "is_digital_only" "''" NA NA NA "${TABLE}.release_is_digital_only = 1" NA "yesno" NA NA NA NA NA NA NA NA NA NA NA NA NA "release_is_itunes_previewable" NA NA NA "release" "is_itunes_previewable" "''" NA NA NA "${TABLE}.release_is_itunes_previewable = 1" NA "yesno" NA NA NA NA NA NA NA NA NA NA NA NA NA "genre_childrens_rock_classical_country_jazz_other" NA NA NA "release" "is_kids,_rock,_classical,_country,_jazz_or_other" "'Has six values: Kids, Rock, Classical, Country, Jazz or Other'" NA NA NA NA "\n 'Kids' : ${TABLE}.release_genre = 'Children''s'\n 'Rock' : ${TABLE}.release_genre = 'Rock'\n 'Classical' : ${TABLE}.release_genre = 'Classical'\n 'Country' : ${TABLE}.release_genre = 'Country'\n 'Jazz' : ${TABLE}.release_genre = 'Jazz'\n else: 'All Others'" "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "release_marketing_priority" NA NA NA "release" "marketing_priority" "''" NA NA NA "${TABLE}.release_marketing_priority" NA "string" NA NA "release_priority" NA NA NA NA NA NA NA NA NA NA "date_added_front_mid_or_cat" NA NA NA "release" "months_since_date_added" "''" NA NA NA "|\n (CASE WHEN activity_month < release_date_added THEN 0 ELSE DateDiff(month, release_date_added, activity_month) END) + 1" NA "tier" "'#,##0'" NA "date_added_cat_mid_front" NA NA NA "[1,6,12,36]" "interval" NA NA NA NA NA NA NA "release_months_since_release" NA "release" "months_since_release" "''" NA NA NA "${TABLE}.release_months_since_release" NA "sum" "'[>=1000000]#,##0.0,,"" M""; [>=10 OR =0]#,##0; [>=.0000001]#,##0.0000'" NA NA NA NA "8" NA NA NA NA NA NA NA "release_months_since_release_dimension" NA NA NA "release" "months_since_release_dimension" "''" NA "TRUE" NA "${TABLE}.release_months_since_release" NA "number" "'[>=1000000]#,##0.0,,"" M""; [>=10 OR =0]#,##0; [>=.0000001]#,##0.0000'" NA "release_months_since_release_categorically" NA NA "8" NA NA NA NA NA NA NA "release_name" NA NA NA "release" "name" "'Descriptive metadata for identifying releases - this is a unique value'" NA NA "TRUE" "${TABLE}.release_name" NA "string" NA NA NA NA NA NA NA NA "bi_release_with_metadata_view" "bi_release_with_metadata_view.release_name" "FALSE" NA NA "release_new_release_type" NA NA NA "release" "new_release_type" "''" NA NA NA "${TABLE}.release_new_release_type" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "release_number_of_cds" NA NA NA "release" "number_of_cds" "''" NA NA NA "${TABLE}.release_number_of_cds" NA "int" "'####'" NA "release_number_of_cds_dimension" NA NA "0" NA NA NA NA NA NA NA NA NA "count_distinct_releases" NA "release" "number_of_releases" "'Unique Release counts (by group; within your filters)'" NA "FALSE" "FALSE" "${TABLE}.releaseid" NA "count_distinct" "'#,###'" NA NA NA NA "0" NA NA NA NA NA NA NA NA NA "count_distinct_releases_by_catalogids" NA "release" "number_of_releases_by_catalogids" "'Unique Releases by Catalog ID counts (by group; within your filters)'" NA "FALSE" "FALSE" "${TABLE}.release_catalogid" NA "count_distinct" "'#,###'" NA NA NA NA "0" NA NA NA NA NA NA NA "release_number_of_tracks" NA NA NA "release" "number_of_tracks" "''" NA NA NA "${TABLE}.release_number_of_tracks" NA "int" "'####'" NA "release_number_of_tracks_dimension" NA NA "0" NA NA NA NA NA NA NA "release_parent_name" NA NA NA "release" "parent_name" "''" NA NA NA "${TABLE}.release_parent_name" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "release_parent_upc" NA NA NA "release" "parent_upc" "''" NA NA NA "${TABLE}.release_parent_upc" NA "int" "'####'" NA NA NA NA "0" NA NA NA NA NA NA NA "release_product_type" NA NA NA "release" "product_type" "''" NA NA NA "${TABLE}.release_product_type" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "release_product_videosubtype" NA NA NA "release" "product_videosubtype" "''" NA NA NA "${TABLE}.release_product_videosubtype" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA NA "release_sale_physical_date" NA NA "release" "sale_physical" "''" "[year, month, month_num, date, day_of_week, week]" NA NA "${TABLE}.release_sale_physical_date" NA "time" NA NA "sale_physical_date" NA NA NA NA NA NA NA NA NA NA NA "release_sale_preorder_date" NA NA "release" "sale_preorder" "''" "[year, month, month_num, date, day_of_week, week]" NA NA "${TABLE}.release_sale_preorder_date" NA "time" NA NA "sale_preorder_date" NA NA NA NA NA NA NA NA NA NA NA "release_sale_start_date" NA NA "release" "sale_start" "''" "[year, month, month_num, date, day_of_week, week]" NA NA "${TABLE}.release_sale_start_date" NA "time" NA NA "sale_start_date" NA NA NA NA NA NA NA NA NA NA "release_subgenre" NA NA NA "release" "subgenre" "''" NA NA NA "${TABLE}.release_subgenre" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "release_number_of_cds_sum" NA "release" "sum_of_number_of_cds" "'Aggregated Total of Number of Cds'" NA NA NA "${TABLE}.release_number_of_cds" NA "sum" "'####'" NA NA NA NA "0" NA NA NA NA NA NA NA NA NA "release_number_of_tracks_sum" NA "release" "sum_of_number_of_tracks" "'Aggregated Total of Number of Tracks'" NA NA NA "${TABLE}.release_number_of_tracks" NA "sum" "'####'" NA NA NA NA "0" NA NA NA NA NA NA NA NA "release_theatrical_release_date" NA NA "release" "theatrical_release" "''" "[year, month, month_num, date, day_of_week, week]" NA NA "${TABLE}.release_theatrical_release_date" NA "time" NA NA "theatrical_release_date" NA NA NA NA NA NA NA NA NA NA "top_10_releases_in_2014" NA NA NA "release" "top_10_releases_in_2014" "''" NA NA NA "|\n CASE\n WHEN release_rank_bi_accounting_by_revenue_2014.release_rank_for_2014 > 10 THEN 'Other'\n else bi_accounting.release_name\n end" NA "string" NA NA NA NA NA NA NA NA NA NA "FALSE" NA NA "top_10_releases_in_2015" NA NA NA "release" "top_10_releases_in_2015" "''" NA NA NA "|\n CASE\n WHEN release_rank_bi_accounting_by_revenue_2015.release_rank_for_2015 > 10 THEN 'Other'\n else bi_accounting.release_name\n end" NA "string" NA NA NA NA NA NA NA NA NA NA "FALSE" NA NA "top_5_releases_in_2014" NA NA NA "release" "top_5_releases_in_2014" "''" NA NA NA "|\n CASE\n WHEN release_rank_bi_accounting_by_revenue_2014.release_rank_for_2014 > 5 THEN 'Other'\n else bi_accounting.release_name\n end" NA "string" NA NA NA NA NA NA NA NA NA NA "FALSE" NA NA "top_5_releases_in_2015" NA NA NA "release" "top_5_releases_in_2015" "''" NA NA NA "|\n CASE\n WHEN release_rank_bi_accounting_by_revenue_2015.release_rank_for_2015 > 5 THEN 'Other'\n else bi_accounting.release_name\n end" NA "string" NA NA NA NA NA NA NA NA NA NA "FALSE" NA NA "release_version" NA NA NA "release" "version" "''" NA NA NA "${TABLE}.release_version" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "release_video_channel" NA NA NA "release" "video_channel" "''" NA NA NA "${TABLE}.release_video_channel" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "release_video_is_vod" NA NA NA "release" "video_is_vod" "''" NA NA NA "${TABLE}.release_video_is_vod = 1" NA "yesno" NA NA NA NA NA NA NA NA NA NA NA NA NA NA "release_vod_start_date" NA NA "release" "vod_start" "''" "[year, month, month_num, date, day_of_week, week]" NA NA "${TABLE}.release_vod_start_date" NA "time" NA NA "vod_start_date" NA NA NA NA NA NA NA NA NA NA "artist_id" NA NA NA "artist" "id" "''" NA NA "TRUE" "${TABLE}.artistid" NA "int" "'####'" NA NA NA NA "0" NA NA "bi_artist_view" "bi_artist_view.artist_id" NA NA NA "artist_name" NA NA NA "artist" "name" "'The name of the Artist on a Release level'" NA NA "TRUE" "${TABLE}.artist_name" NA "string" NA NA NA NA NA NA NA NA "bi_artist_view" "bi_artist_view.artist_name" "FALSE" NA NA NA NA "count_distinct_artists" NA "artist" "number_of_artists" "'Unique Artist counts (by group; within your filters)'" NA "FALSE" "FALSE" "${TABLE}.artistid" NA "count_distinct" "'#,###'" NA NA NA NA "0" NA NA NA NA NA NA NA "internet_cable_normalized_transtype" NA NA NA "transaction" "internet_cable_normalized_transtype" "'Used by Finance and Film/TV to determine when Advances should be paid out'" NA NA "FALSE" "|\n CASE\n when ${TABLE}.store_name like '%Cable VOD%' and ${TABLE}.transac_type_abbr = 'DV' then 'cEST'\n when ${TABLE}.store_name not like '%Cable VOD%' and ${TABLE}.transac_type_abbr = 'DV' then 'iEST'\n when ${TABLE}.store_name like '%Cable VOD%' and ${TABLE}.transac_type_abbr = 'VR' then 'cVOD'\n when ${TABLE}.store_name not like '%Cable VOD%' and ${TABLE}.transac_type_abbr = 'VR' then 'iVOD'\n when ${TABLE}.transac_type_abbr = 'AV' then 'AVOD'\n when ${TABLE}.transac_type_abbr = 'TH' then 'Theatrical'\n when ${TABLE}.transac_type_abbr = 'PH' then 'Physical'\n when ${TABLE}.transac_type_abbr = 'TL' then 'Netflix/PayTV'\n when ${TABLE}.transac_type_abbr = 'NT' then 'Non-Theatrical'\n when ${TABLE}.transac_type_abbr = 'SV' then 'SVOD'\n END" NA "string" NA NA NA NA NA NA NA NA NA NA "FALSE" NA NA "chadleys_favorite_trans_types" NA NA NA "transaction" "mgmt_monthly_accounting_transaction_types" "'Chadelyn Stark is King of the North'" NA NA NA NA "\n 'Ad Supported': ${TABLE}.transac_type_abbr in ('AS', 'AV')\n 'Download Albums': ${TABLE}.transac_type_abbr in ('DA', 'UT')\n 'Download Tracks': ${TABLE}.transac_type_abbr in ('DT', 'DV', 'DR', 'RB')\n 'Subscription': ${TABLE}.transac_type_abbr in ('S', 'SV', 'TD','CL','TA')\n 'Video': ${TABLE}.transac_type_abbr in ('NT','TH','VS', 'VR', 'TL','PH')\n else: 'Other'" "string" NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "count_distinct_transac_types" NA "transaction" "number_of_transac_types" "'Unique Transac Type counts (by group; within your filters)'" NA "FALSE" "FALSE" "${TABLE}.transac_typeid" NA "count_distinct" "'#,###'" NA NA NA NA "0" NA NA NA NA NA NA NA "rolled_up_normalized_transtype" NA NA NA "transaction" "rolled_up_normalized_transtype" "'Used by Finance and Film/TV to determine when Advances should be paid out'" NA NA "FALSE" "|\n CASE\n when ${TABLE}.transac_type_abbr = 'DV' then 'EST'\n when ${TABLE}.transac_type_abbr = 'AV' then 'AVOD'\n when ${TABLE}.transac_type_abbr = 'TH' then 'Theatrical'\n when ${TABLE}.transac_type_abbr = 'PH' then 'Physical'\n when ${TABLE}.transac_type_abbr = 'TL' then 'Netflix/PayTV'\n when ${TABLE}.transac_type_abbr = 'NT' then 'Non-Theatrical'\n when ${TABLE}.transac_type_abbr = 'SV' then 'SVOD'\n when ${TABLE}.transac_type_abbr = 'VR' then 'VOD'\n END" NA "string" NA NA NA NA NA NA NA NA NA NA "FALSE" NA NA "sme_transaction_types" NA NA NA "transaction" "sme_transaction_types" NA NA "false" NA NA "\n 'Downloads': ${TABLE}.transac_type_abbr in ('DA','UA','DT','UT','RB','PR','DR','RV','VR','DV','VB','UV','RD')\n 'Streams': ${TABLE}.storeid != 453 and ${TABLE}.transac_type_abbr in ('VS','TA','AEA','AS','CA','MV','US','SE','CV','SV','VU','CL','TD','TR','S','NR','TL','AEV','NS','AV','CAV')\n 'YouTube': ${TABLE}.storeid = 453 and ${TABLE}.transac_type_abbr in ('AS','AV')\n else: 'Other'" "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "transac_group_for_units" NA NA NA "transaction" "transaction_group_for_units" NA NA "false" NA NA "\n 'Download Albums': ${TABLE}.transac_type_abbr in ('DA','UA')\n 'Download Tracks': ${TABLE}.transac_type_abbr in ('DT','UT')\n 'Streams': ${TABLE}.transac_type_abbr in ('VS','TA','AEA','AS','CA','MV','US','SE','CV','SV','VU','CL','TD','TR','S','NR','TL','AEV','NS','AV','CAV')\n 'Other Downloads': ${TABLE}.transac_type_abbr in ('RB','PR','DR','RV','VR','DV','VB','UV','TH','PH','RD')\n else: 'Unknown'" "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "transac_type" NA NA NA "transaction" "type" "'The descriptive name of Transaction Types in our system. Descriptive metadata used for breaking out/aggregating sales by store or country'" NA NA "TRUE" "${TABLE}.transac_type" NA "string" NA NA NA NA NA NA NA NA "bi_transactiontype_view" "bi_transactiontype_view.transac_type" NA NA NA "transac_type_abbr" NA NA NA "transaction" "type_abbr" "'Abbreviated Transaction Type and Unique Identifier of Trasaction Types in our system. Best used when filtering to specific transaction types'" NA NA NA "${TABLE}.transac_type_abbr" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "transac_type_group" NA NA NA "transaction" "type_group" "''" NA NA "TRUE" "${TABLE}.transac_type_group" NA "string" NA NA NA NA NA NA NA NA "bi_transactiontype_view" "bi_transactiontype_view.transac_type_group" NA NA NA "transac_type_id" NA NA NA "transaction" "type_id" "''" NA NA "TRUE" "${TABLE}.transac_typeid" NA "int" "'####'" NA NA NA NA "0" NA NA "bi_transactiontype_view" "bi_transactiontype_view.transac_type_id" NA NA NA "artist_country" NA NA NA "territory" "artist_country" "''" NA NA "TRUE" "${TABLE}.artist_country" NA "string" NA NA NA NA NA NA NA NA "bi_country_view" "bi_country_view.country_name" NA NA NA "artist_country_code" NA NA NA "territory" "artist_country_code" "''" NA NA "TRUE" "${TABLE}.artist_country_code" NA "string" NA NA NA NA NA NA NA NA "bi_country_view" "bi_country_view.country_code" NA NA NA "au_or_row" NA NA NA "territory" "au_or_row" "'AU or Row'" NA NA NA NA "\n 'AU' : ${TABLE}.country_code = 'AU'\n else : 'ROW'" "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "broad_region_group" NA NA NA "territory" "broad_region_group" "''" NA NA NA "${TABLE}.broad_region_group" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "continent" NA NA NA "territory" "continent" "'The name of a Continent in our system'" NA NA "TRUE" "${TABLE}.continent" NA "string" NA NA NA NA NA NA NA NA "bi_country_view" "bi_country_view.continent" NA NA NA "coremarkets" NA NA NA "territory" "coremarkets" "''" NA NA "TRUE" "${TABLE}.coremarkets" NA "string" NA NA NA NA NA NA NA NA "bi_country_view" "bi_country_view.coremarkets" NA NA NA "coremarkets_country_code" NA NA NA "territory" "coremarkets_country_code" "''" NA NA "TRUE" "${TABLE}.coremarkets_country_code" NA "string" NA NA NA NA NA NA NA NA "bi_country_view" "bi_country_view.coremarkets_country_code" NA NA NA "coremarkets_eurocentric" NA NA NA "territory" "coremarkets_eurocentric" "''" NA NA "TRUE" "${TABLE}.coremarkets_eurocentric" NA "string" NA NA NA NA NA NA NA NA "bi_country_view" "bi_country_view.coremarkets_eurocentric" NA NA NA "coremarkets_eurocentric_country_code" NA NA NA "territory" "coremarkets_eurocentric_country_code" "''" NA NA "TRUE" "${TABLE}.coremarkets_eurocentric_country_code" NA "string" NA NA NA NA NA NA NA NA "bi_country_view" "bi_country_view.coremarkets_eurocentric_country_code" NA NA NA "country_code" NA NA NA "territory" "country_code" "'The Unique ISO Code for each Country (Territory) in our system. Best used when filtering to specific countries, or for breaking out sales by country '" NA NA "TRUE" "${TABLE}.country_code" NA "string" NA NA NA NA NA NA NA NA "bi_country_view" "bi_country_view.country_code" "FALSE" NA NA "country_id" NA NA NA "territory" "country_id" "''" NA NA NA "${TABLE}.countryid" NA "int" "'####'" NA NA NA NA "0" NA NA NA NA NA NA NA "country_name" NA NA NA "territory" "country_name" "''" NA NA "TRUE" "${TABLE}.country_name" NA "string" NA NA NA NA NA NA NA NA "bi_country_view" "bi_country_view.country_name" "FALSE" NA NA "country_name_or_row" NA NA NA "territory" "country_name_or_row" "'Country Name or ROW'" NA "false" NA NA "\n 'USA': ${TABLE}.countryid = 1\n 'Brazil': ${TABLE}.countryid = 13\n 'Russia': ${TABLE}.countryid = 146\n 'United Kingdom': ${TABLE}.countryid = 3\n 'Japan': ${TABLE}.countryid = 9\n 'Canada': ${TABLE}.countryid = 2\n 'Mexico': ${TABLE}.countryid = 10\n 'Germany': ${TABLE}.countryid = 4\n 'France': ${TABLE}.countryid = 6\n 'Australia': ${TABLE}.countryid = 8\n 'Spain': ${TABLE}.countryid = 15\n 'India': ${TABLE}.countryid = 86\n 'Italy': ${TABLE}.countryid = 12\n 'Colombia': ${TABLE}.countryid = 50\n 'Chile': ${TABLE}.countryid = 48\n 'Netherlands': ${TABLE}.countryid = 128\n else: 'ROW'" "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "eu_or_row" NA NA NA "territory" "eu_or_row" "'Is the Continent EU or ROW'" NA NA NA NA "\n 'Europe' : ${TABLE}.continent = 'Europe'\n else : 'ROW'" "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "germany_or_row" NA NA NA "territory" "germany_or_row" "'Is the Country DE or ROW'" NA "TRUE" NA NA "\n 'Germany': ${TABLE}.countryid = 4\n else: 'ex-Germany'" "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "is_above_thresh" NA NA NA "territory" "is_above_thresh" "'Percent of streams > 3'" NA "False" NA NA "\n 'Yes': ${percent_of_total} >= 0.03\n else: 'No'" "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "country_is_cis" NA NA NA "territory" "is_cis" "''" NA NA NA "${TABLE}.country_is_cis = 1" NA "yesno" NA NA NA NA NA NA NA NA NA NA NA NA NA "label_continent" NA NA NA "territory" "label_continent" "''" NA NA "TRUE" "${TABLE}.label_continent" NA "string" NA NA NA NA NA NA NA NA "bi_country_view" "bi_country_view.continent" NA NA NA "label_country" NA NA NA "territory" "label_country" "''" NA NA "TRUE" "${TABLE}.label_country" NA "string" NA NA NA NA NA NA NA NA "bi_country_view" "bi_country_view.country_name" NA NA NA "label_country_code" NA NA NA "territory" "label_country_code" "''" NA NA "TRUE" "${TABLE}.label_country_code" NA "string" NA NA NA NA NA NA NA NA "bi_country_view" "bi_country_view.country_code" NA NA NA "spain_or_latam_or_row" NA NA NA "territory" "label_country_is_spain_or_latam_(modified)_or_row" "'Label Country is Spain or LATAM (modified) or ROW'" NA "false" NA NA "\n 'Spain': ${TABLE}.label_country = 'Spain'\n 'LATAM': ${TABLE}.label_country in ('Argentina','Chile','Colombia','Mexico','Cuba')\n else: 'ROW'" "string" NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "count_distinct_countries" NA "territory" "number_of_countries" "'Unique Country counts (by group; within your filters)'" NA "FALSE" "FALSE" "${TABLE}.countryid" NA "count_distinct" "'#,###'" NA NA NA NA "0" NA NA NA NA NA NA NA NA NA "percent_of_total" NA "territory" "percent_of_total_units" "'percent_of_streams_by_territory'" NA NA NA "${bi_accounting.units}" NA "percent_of_total" "'[>=.10]#,##0.00\%; [>=.0010]0.0000\%; 0.000000\%'" NA NA NA NA "2" NA NA NA NA NA " |\n {% if value <= -1 %}\n
{{ rendered_value }}
\n {% elsif value < -0.5 %}\n
{{ rendered_value }}
\n {% elsif value < -0.25 %}\n
{{ rendered_value }}
\n {% elsif value < -0.125 %}\n
{{ rendered_value }}
\n {% elsif value < 0 %}\n
{{ rendered_value }}
\n {% elsif value == 0 %}\n
{{ rendered_value }}
\n {% elsif value < 0.125 %}\n
{{ rendered_value }}
\n {% elsif value < 0.25 %}\n
{{ rendered_value }}
\n {% elsif value < 0.5 %}\n
{{ rendered_value }}
\n {% elsif value < 1 %}\n
{{ rendered_value }}
\n {% else %}\n
{{ rendered_value }}
\n {% endif %}" NA "region_group" NA NA NA "territory" "region_group" "'Custom Grouping of Countries as Regions in our system'" NA NA NA NA "\n 'North America': ${TABLE}.region_group = 'North America'\n 'Nordics': ${TABLE}.region_group = 'Nordics'\n 'GSA': ${TABLE}.region_group = 'GSA'\n 'UK+IE': ${TABLE}.region_group = 'UK+IE'\n 'France': ${TABLE}.region_group = 'France'\n 'ES+PT': ${TABLE}.region_group = 'ES+PT'\n 'GR+IT': ${TABLE}.region_group = 'GR+IT'\n 'BeNeLux': ${TABLE}.region_group = 'BeNeLux'\n 'EE Core': ${TABLE}.region_group = 'EE Core'\n 'EE Core II': ${TABLE}.region_group = 'EE Core II'\n 'LatAm Core': ${TABLE}.region_group = 'LatAm Core'\n 'AU+NZ': ${TABLE}.region_group = 'AU+NZ'\n 'Turkey': ${TABLE}.region_group = 'Turkey'\n 'Russia': ${TABLE}.region_group = 'Russia'\n 'CIS ex RU': ${TABLE}.region_group = 'CIS ex RU'\n 'IndiaPakistan': ${TABLE}.region_group = 'IndiaPakistan'\n 'Asia Core': ${TABLE}.region_group = 'Asia Core'\n 'Africa Core': ${TABLE}.region_group = 'Africa Core'\n 'Rest of Europe': ${TABLE}.region_group = 'Rest of Europe'\n 'Rest of LatAm': ${TABLE}.region_group = 'Rest of LatAm'\n 'Rest of Asia': ${TABLE}.region_group = 'Rest of Asia'\n 'Rest of Africa': ${TABLE}.region_group = 'Rest of Africa'\n 'ROW': ${TABLE}.region_group = 'ROW'\n else: ${TABLE}.region_group" "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "sme_affiliate_label_country_groupings" NA NA NA "territory" "sme_affiliates_-_label_country_specified_territories" "'Territory Groupings based on SME Offices around the World'" NA NA NA NA "\n 'Argentina': ${TABLE}.label_country in ('Argentina','Bolivia','Paraguay','Uruguay')\n 'Australia': ${TABLE}.label_country in ('Australia','Cook Islands','Christmas Island','Micronesia','Kiribati','Northern Mariana Islands','Norfolk Island','Nauru','Niue','Solomon Islands','Timor-Leste','Tonga','Tuvalu','Vanuatu')\n 'Austria': ${TABLE}.label_country in ('Austria')\n 'Belgium': ${TABLE}.label_country in ('Belgium','Luxembourg')\n 'Brazil': ${TABLE}.label_country in ('Brazil')\n 'Canada': ${TABLE}.label_country in ('Canada')\n 'Chile': ${TABLE}.label_country in ('Chile')\n 'China': ${TABLE}.label_country in ('China')\n 'Colombia': ${TABLE}.label_country in ('Colombia','Ecuador','Peru')\n 'Costa Rica': ${TABLE}.label_country in ('Antigua and Barbuda','Anguilla','Aruba','Barbados','Bermuda','Bahamas','Belize','Costa Rica','Cuba','Dominica','Dominican Republic','Grenada','Guatemala','Guyana','Honduras','Haiti','Jamaica','Saint Kitts and Nevis','Cayman Islands','Saint Lucia','Montserrat','Nicaragua','Panama','Suriname','El Salvador','Turks And Caicos Islands','Trinidad and Tobago','Saint Vincent and the Grenadines','British Virgin Islands','US Virgin Islands')\n 'Czech Republic': ${TABLE}.label_country in ('Czech Republic','Slovakia')\n 'Denmark': ${TABLE}.label_country in ('Denmark','Faroe Islands','Iceland')\n 'Finland': ${TABLE}.label_country in ('Ã…land Islands','Estonia','Finland','Lithuania','Latvia')\n 'France': ${TABLE}.label_country in ('Andorra','Algeria','France','French Guiana','Guadeloupe','Morocco','Monaco','Martinique','New Caledonia','French Polynesia','Saint Pierre And Miquelon','Réunion','Tunisia','Wallis And Futuna','Mayotte')\n 'Germany': ${TABLE}.label_country in ('Germany')\n 'Great Britain': ${TABLE}.label_country in ('United Kingdom','Guernsey','Gibraltar','Isle Of Man','Jersey')\n 'Greece': ${TABLE}.label_country in ('Greece')\n 'Hong Kong': ${TABLE}.label_country in ('Fiji','Hong Kong','British Indian Ocean Territory','Marshall Islands','Myanmar','Macau','Palau','Vietnam')\n 'Hungary': ${TABLE}.label_country in ('Hungary')\n 'India': ${TABLE}.label_country in ('Bangladesh','Bhutan','India','Sri Lanka','Maldives','Nepal','Pakistan')\n 'Indonesia': ${TABLE}.label_country in ('Indonesia','Papua New Guinea')\n 'Ireland': ${TABLE}.label_country in ('Ireland')\n 'Italy': ${TABLE}.label_country in ('Italy','Malta','San Marino','Holy See')\n 'Japan': ${TABLE}.label_country in ('Japan')\n 'Malaysia': ${TABLE}.label_country in ('Brunei','Malaysia')\n 'Mexico': ${TABLE}.label_country in ('Mexico')\n 'Middle East': ${TABLE}.label_country in ('United Arab Emirates','Afghanistan','Bahrain','Egypt','Iraq','Iran','Jordan','Kuwait','Lebanon','Oman','Palestinian Territory','Qatar','Saudi Arabia','Syria','Yemen')\n 'Netherlands': ${TABLE}.label_country in ('Netherlands Antilles','Netherlands')\n 'New Zealand': ${TABLE}.label_country in ('New Zealand','Samoa')\n 'Norway': ${TABLE}.label_country in ('Norway','Svalbard and Jan Mayen')\n 'Other Europe Regional ': ${TABLE}.label_country in ('Albania','Bosnia and Herzegovina','Bulgaria','Serbia and Montenegro','Cyprus','Greenland','Croatia','Israel','Macedonia','Romania','Slovenia')\n 'Philippines': ${TABLE}.label_country in ('Philippines')\n 'Poland': ${TABLE}.label_country in ('Poland')\n 'Portugal': ${TABLE}.label_country in ('Portugal')\n 'Rep. Korea': ${TABLE}.label_country in ('North Korea','South Korea')\n 'ROW': ${TABLE}.label_country in ('Antarctica','Bouvet Island','Cocos (Keeling) Islands','Falkland Islands (Malvinas)','South Georgia and the South Sandwich Islands','Heard Island and McDonald Islands','Pitcairn Islands','French Southern and Antarctic Lands','Tokelau','US Minor Outlying Islands')\n 'Russia': ${TABLE}.label_country in ('Armenia','Azerbaijan','Belarus','Georgia','Kyrgyzstan','Kazakhstan','Moldova','Mongolia','Russia','Tajikistan','Turkmenistan','Ukraine','Uzbekistan')\n 'Singapore': ${TABLE}.label_country in ('Cambodia','Laos','Singapore')\n 'South Africa': ${TABLE}.label_country in ('Angola','Burkina Faso','Burundi','Benin','Botswana','Congo','Central African Republic','Congo','Ivory Coast','Cameroon','Cape Verde','Djibouti','Western Sahara','Eritrea','Ethiopia','Gabon','Ghana','Gambia','Guinea','Equatorial Guinea','Guinea-Bissau','Kenya','Comoros','Liberia','Lesotho','Libya','Madagascar','Mali','Mauritania','Mauritius','Malawi','Mozambique','Namibia','Niger','Nigeria','Rwanda','Seychelles','Sudan','Saint Helena','Sierra Leone','Senegal','Somalia','São Tomé and Príncipe','Swaziland','Chad','Togo','Tanzania','Uganda','South Africa','Zambia','Zimbabwe')\n 'Spain': ${TABLE}.label_country in ('Spain')\n 'Sweden': ${TABLE}.label_country in ('Sweden')\n 'Switzerland': ${TABLE}.label_country in ('Switzerland','Liechtenstein')\n 'Taiwan': ${TABLE}.label_country in ('Taiwan')\n 'Thailand': ${TABLE}.label_country in ('Thailand')\n 'Turkey': ${TABLE}.label_country in ('Turkey')\n 'USA': ${TABLE}.label_country in ('American Samoa','Guam','Puerto Rico','USA')\n 'Venezuela': ${TABLE}.label_country in ('Venezuela')\n else: 'ROW'" "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "sme_affiliate_territory_groupings" NA NA NA "territory" "sme_affiliates_-_specified_territories" "'Territory Groupings based on SME Offices around the World'" NA NA NA NA "\n 'Argentina' : ${TABLE}.country_code in ('AR','PY','BO','UY')\n 'Australia' : ${TABLE}.country_code in ('AU','VU','MP','SB','FM','TO','TL','NU','CK','NR','KI','NF','TV','CX')\n 'Austria' : ${TABLE}.country_code in ('AT')\n 'Belgium' : ${TABLE}.country_code in ('BE','LU')\n 'Brazil' : ${TABLE}.country_code in ('BR')\n 'Canada' : ${TABLE}.country_code in ('CA')\n 'Chile' : ${TABLE}.country_code in ('CL')\n 'China' : ${TABLE}.country_code in ('CN')\n 'Colombia' : ${TABLE}.country_code in ('CO','PE','EC')\n 'Costa Rica' : ${TABLE}.country_code in ('GT','CR','SV','DO','HN','PA','NI','TT','BM','BS','KY','BB','JM','BZ','VG','AG','KN','GD','VI','DM','AI','HT','AW','SR','TC','LC','GY','VC','CU','MS')\n 'Czech Republic' : ${TABLE}.country_code in ('CZ','SK')\n 'Denmark' : ${TABLE}.country_code in ('DK','IS','FO')\n 'Finland' : ${TABLE}.country_code in ('FI','LV','LT','EE','AX')\n 'France' : ${TABLE}.country_code in ('FR','DZ','MA','TN','AD','MC','RE','NC','MQ','GP','PF','GF','YT','PM','WF')\n 'Germany' : ${TABLE}.country_code in ('DE')\n 'Great Britain' : ${TABLE}.country_code in ('GB','JE','IM','GI','GG')\n 'Greece' : ${TABLE}.country_code in ('GR')\n 'Hong Kong' : ${TABLE}.country_code in ('HK','VN','MO','FJ','MM','MH','IO','PW')\n 'Hungary' : ${TABLE}.country_code in ('HU')\n 'India' : ${TABLE}.country_code in ('IN','LK','PK','BD','NP','MV','BT')\n 'Indonesia' : ${TABLE}.country_code in ('ID','PG')\n 'Ireland' : ${TABLE}.country_code in ('IE')\n 'Italy' : ${TABLE}.country_code in ('IT','MT','SM','VA')\n 'Japan' : ${TABLE}.country_code in ('JP')\n 'Malaysia' : ${TABLE}.country_code in ('MY','BN')\n 'Mexico' : ${TABLE}.country_code in ('MX')\n 'Middle East' : ${TABLE}.country_code in ('SA','AE','EG','KW','QA','JO','OM','BH','LB','IQ','YE','IR','PS','AF','SY')\n 'Netherlands' : ${TABLE}.country_code in ('NL','AN')\n 'New Zealand' : ${TABLE}.country_code in ('NZ','WS')\n 'Norway' : ${TABLE}.country_code in ('NO','SJ')\n 'Other Europe Regional' : ${TABLE}.country_code in ('IL','RO','CS','BG','HR','CY','SI','BA','AL','MK','GL')\n 'Philippines' : ${TABLE}.country_code in ('PH')\n 'Poland' : ${TABLE}.country_code in ('PL')\n 'Portugal' : ${TABLE}.country_code in ('PT')\n 'Rep. Korea' : ${TABLE}.country_code in ('KR','KP')\n 'Russia' : ${TABLE}.country_code in ('RU','UA','KZ','BY','AZ','MD','AM','UZ','TM','KG','MN','TJ','GE')\n 'Singapore' : ${TABLE}.country_code in ('SG','KH','LA')\n 'South Africa' : ${TABLE}.country_code in ('ZA','NG','KE','TZ','MZ','NA','GH','MU','UG','BW','ZW','SN','LY','CI','CV','BF','AO','MG','CM','NE','GA','CG','ZM','SZ','ML','CD','TG','GM','RW','BJ','GN','DJ','SC','MR','ET','SD','SO','GQ','MW','SL','BI','KM','CF','TD','LS','ST','LR','GW','SH','ER','EH')\n 'Spain' : ${TABLE}.country_code in ('ES')\n 'Sweden' : ${TABLE}.country_code in ('SE')\n 'Switzerland' : ${TABLE}.country_code in ('CH','LI')\n 'Taiwan' : ${TABLE}.country_code in ('TW')\n 'Thailand' : ${TABLE}.country_code in ('TH')\n 'Turkey' : ${TABLE}.country_code in ('TR')\n 'USA' : ${TABLE}.country_code in ('US','PR','GU','AS')\n 'Venezuela' : ${TABLE}.country_code in ('VE')\n else: 'ROW'" "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "southamerica_plus_mexico_by_county" NA NA NA "territory" "south_america_+_mexico_(by_country)" NA NA "false" NA NA "\n 'LATAM' : ${TABLE}.country_code in ('CL', 'SR', 'GY', 'FK', 'UY', 'AR', 'GF', 'PY', 'VE', 'PE', 'CO', 'EC', 'BO')\n 'Brazil' : ${TABLE}.country_code in ('BR')\n 'Mexico' : ${TABLE}.country_code in ('MX')\n else: 'No'" "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "southamerica_plus_mexico" NA NA NA "territory" "south_america_+_mexico_(y/n)" NA NA "false" NA NA "\n 'Yes' : ${TABLE}.country_code in ('CL', 'SR', 'GY', 'FK', 'UY', 'AR', 'GF', 'PY', 'VE', 'PE', 'CO', 'EC', 'BO', 'BR', 'MX')\n else: 'No'" "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "usa_br_mx_es_ar_uk_row" NA NA NA "territory" "usa,_brazil,_mexico,_spain,_argentina,_uk,_row" "'Is the Country USA, Brazil, Mexico, Spain, Argentina, UK, ROW'" NA NA NA NA "\n 'USA' : ${TABLE}.countryid = 1\n 'Brazil' : ${TABLE}.countryid = 13\n 'Mexico' : ${TABLE}.countryid = 7\n 'Spain' : ${TABLE}.countryid = 15\n 'Argentina' : ${TABLE}.countryid = 23\n 'UK' : ${TABLE}.countryid = 3\n else: 'ROW'" "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "usa_br_mx_se_es_uk_row" NA NA NA "territory" "usa,_brazil,_mexico,_sweden,_spain,_uk,_row" "'Is the Country USA, Brazil, Mexico, Sweden, Spain, UK, ROW'" NA NA NA NA "\n 'USA' : ${TABLE}.countryid = 1\n 'Brazil' : ${TABLE}.countryid = 13\n 'Mexico' : ${TABLE}.countryid = 7\n 'Sweden' : ${TABLE}.countryid = 5\n 'Spain' : ${TABLE}.countryid = 15\n 'UK' : ${TABLE}.countryid = 3\n else: 'ROW'" "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "usa_br_mx_tr_es_uk_row" NA NA NA "territory" "usa,_brazil,_mexico,_turkey,_spain,_uk,_row" "'Is the Country USA, Brazil, Mexico, Turkey, Spain, UK, ROW'" NA NA NA NA "\n 'USA' : ${TABLE}.countryid = 1\n 'Brazil' : ${TABLE}.countryid = 13\n 'Mexico' : ${TABLE}.countryid = 7\n 'Spain' : ${TABLE}.countryid = 15\n 'Turkey' : ${TABLE}.countryid = 176\n 'UK' : ${TABLE}.countryid = 3\n else: 'ROW'" "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "usa_uk_fr_gsa_nordics_row" NA NA NA "territory" "usa,_uk,_france,_gsa,_nordics_or_row" "'Is the Country USA, UK, France, GSA, Nordics or Row'" NA NA NA NA "\n 'USA' : ${TABLE}.countryid = 1\n 'UK' : ${TABLE}.countryid = 3\n 'France' : ${TABLE}.countryid = 6\n 'GSA' : ${TABLE}.countryid in (4,11,16)\n 'Nordics' : ${TABLE}.countryid in (5,71,59,85,133)\n else: 'ROW'" "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "video_services_region_group" NA NA NA "territory" "video_services_region_group" "''" NA NA NA "${TABLE}.videoservices_region_group" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "imprint_id" NA NA NA "imprint" "id" "''" NA NA NA "${TABLE}.imprintid" NA "int" "'####'" NA NA NA NA "0" NA NA NA NA NA NA NA NA NA "count_distinct_imprints" NA "imprint" "number_of_imprints" "'Unique Imprint counts (by group; within your filters)'" NA "FALSE" "FALSE" "${TABLE}.imprintid" NA "count_distinct" "'#,###'" NA NA NA NA "0" NA NA NA NA NA NA NA "subaccount_id" NA NA NA "subaccount" "id" "''" NA NA NA "${TABLE}.subaccountid" NA "int" "'####'" NA NA NA NA "0" NA NA NA NA NA NA NA NA NA "count_distinct_subaccounts" NA "subaccount" "number_of_subaccounts" "'Unique Subaccount counts (by group; within your filters)'" NA "FALSE" "FALSE" "${TABLE}.subaccountid" NA "count_distinct" "'#,###'" NA NA NA NA "0" NA NA NA NA NA NA NA "track_cd_number" NA NA NA "track" "cd_number" "'Disc number in a collection. Generally 1 or 2. Do not confuse with Track Number'" NA NA NA "${TABLE}.track_cd_number" NA "int" "'####'" NA NA NA NA "0" NA NA NA NA NA NA NA "track_duration" NA NA NA "track" "duration" "''" NA NA NA "${TABLE}.track_duration" NA "int" "'####'" NA "track_duration_dimension" NA NA "0" NA NA NA NA NA NA NA "track_duration_minutes" NA NA NA "track" "duration_minutes" "'Track Duration in Minutes:Seconds'" NA NA NA "|\n LPAD(trunc(${TABLE}.track_duration / 60, 0), 3, ' ') || ':' || LPAD(mod(${TABLE}.track_duration, 60), 2, '0')" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "track_id" NA NA NA "track" "id" "''" NA "TRUE" "FALSE" "${TABLE}.trackid" NA "int" "'####'" NA NA NA NA "0" NA NA NA NA NA NA NA "track_is_dummy_isrc_for_da" NA NA NA "track" "is_dummy_isrc_for_da" "''" NA NA NA "${TABLE}.track_is_dummy_isrc_for_da = 1" NA "yesno" NA NA NA NA NA NA NA NA NA NA NA NA NA "track_name_is_happy_together" NA NA NA "track" "is_happy_together" "''" NA NA NA "|\n ${TABLE}.isrc in (select distinct isrc from production.dim_track where trackname = 'happy together')" NA "yesno" NA NA NA NA NA NA NA NA NA NA NA NA NA "isrc" NA NA NA "track" "isrc" "''" NA NA "FALSE" "${TABLE}.isrc" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "main_isrc" NA NA NA "track" "main_isrc" "''" NA NA NA "${TABLE}.main_isrc" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "track_might_be_error" NA "track" "might_be_error" "''" NA NA NA "${TABLE}.track_might_be_error" NA "sum" "'[>=1000000]#,##0.0,,"" M""; [>=10 OR =0]#,##0; [>=.0000001]#,##0.0000'" NA NA NA NA "8" NA NA NA NA NA NA NA "track_might_be_error_dimension" NA NA NA "track" "might_be_error_dimension" "''" NA "TRUE" NA "${TABLE}.track_might_be_error" NA "number" "'[>=1000000]#,##0.0,,"" M""; [>=10 OR =0]#,##0; [>=.0000001]#,##0.0000'" NA "track_might_be_error_categorically" NA NA "8" NA NA NA NA NA NA NA "track_name" NA NA NA "track" "name" "''" NA NA "FALSE" "${TABLE}.track_name" NA "string" NA NA NA NA NA NA NA NA NA NA "FALSE" NA NA "track_name_short" NA NA NA "track" "name_short" "''" NA NA "FALSE" "${TABLE}.track_name_short" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "track_number" NA NA NA "track" "number" "'The track''s ordering number on an album'" NA NA NA "${TABLE}.track_number" NA "int" "'####'" NA NA NA NA "0" NA NA NA NA NA NA NA NA NA "count_distinct_track_uniques" NA "track" "number_of_track_uniques" "'Unique Track Unique counts (by group; within your filters)'" NA "FALSE" "FALSE" "${TABLE}.track_unique_id" NA "count_distinct" "'#,###'" NA NA NA NA "0" NA NA NA NA NA NA NA NA NA "count_distinct_tracks" NA "track" "number_of_tracks" "'Unique Track counts (by group; within your filters)'" NA "TRUE" "FALSE" "${TABLE}.trackid" NA "count_distinct" "'#,###'" NA NA NA NA "0" NA NA NA NA NA NA NA NA NA "track_duration_sum" NA "track" "sum_of_duration" "'Aggregated Total of Duration'" NA NA NA "${TABLE}.track_duration" NA "sum" "'####'" NA NA NA NA "0" NA NA NA NA NA NA NA "track_unique_id" NA NA NA "track" "unique_id" "''" NA NA NA "${TABLE}.track_unique_id" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "track_version" NA NA NA "track" "version" "''" NA NA NA "${TABLE}.track_version" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "track_videoresolution" NA NA NA "track" "videoresolution" "''" NA NA NA "${TABLE}.track_videoresolution" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "account_breakdown_store_name" NA NA NA "video" "account_breakdown_-_store_name" "''" NA NA NA NA "\n 'DirecTV': ${TABLE}.storeid in (614)\n 'Dish': ${TABLE}.storeid in (638)\n 'Bell': ${TABLE}.storeid in (641)\n 'Telus': ${TABLE}.storeid in (660)\n 'AT&T': ${TABLE}.storeid in (652)\n 'Sky': ${TABLE}.storeid in (415)\n 'InDemand (includes all TWC, Comcast, Cox etc.)': ${TABLE}.storeid in (555,611)\n 'Google Play': ${TABLE}.storeid in (496)\n 'Playstation': ${TABLE}.storeid in (478)\n 'Vimeo ': ${TABLE}.storeid in (610)\n 'Kaleidescape': ${TABLE}.storeid in (650)\n 'Wauki ': ${TABLE}.storeid in (651)\n 'Swank': ${TABLE}.storeid in (629)\n 'SPHE': ${TABLE}.storeid in (659)\n 'iTunes US': ${TABLE}.storeid in (1) and ${TABLE}.country_code = 'US'\n 'iTunes CA': ${TABLE}.storeid in (1) and ${TABLE}.country_code = 'CA'\n 'iTunes ROW': ${TABLE}.storeid in (1) and ${TABLE}.country_code not in ('US','CA')\n 'Amazon Instant Video US': ${TABLE}.storeid in (376,645,634) and ${TABLE}.country_code = 'US'\n 'Amazon Instant Video CA': ${TABLE}.storeid in (376,645,634) and ${TABLE}.country_code = 'CA'\n 'Amazon Instant Video ROW': ${TABLE}.storeid in (376,645,634) and ${TABLE}.country_code not in ('US','CA')\n 'Vudu': ${TABLE}.storeid in (489)\n 'FandangoNOW': ${TABLE}.storeid in (624)\n 'XBOX': ${TABLE}.storeid in (487)\n 'Vubiquity': ${TABLE}.storeid in (554)\n 'Verizon': ${TABLE}.storeid in (36)\n 'Waxworks': ${TABLE}.storeid in (613)\n 'Hulu': ${TABLE}.storeid in (392)\n 'Fuhu': ${TABLE}.storeid in (639)\n 'TSI': ${TABLE}.storeid in (628)\n 'Hulu': ${TABLE}.storeid in (392)\n 'Hoopla': ${TABLE}.storeid in (502)\n 'Qello': ${TABLE}.storeid in (504)\n 'Library Ideas': ${TABLE}.storeid in (535,564)\n 'Overdrive': ${TABLE}.storeid in (182)\n 'Netflix': ${TABLE}.storeid in (450)\n 'Amazon Prime': ${TABLE}.storeid in (187) and ${TABLE}.transac_type_abbr = 'S'\n 'Fullscreen': ${TABLE}.storeid in (658)\n 'HBO': ${TABLE}.storeid in (642)\n 'Showtime': ${TABLE}.storeid in (640)\n 'Sundance International': ${TABLE}.storeid in (667)\n 'Shudder': ${TABLE}.storeid in (653)\n else: 'Other'" "string" NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "dbo_gross_sales_usd" NA "video" "dbo_gross_usd" NA NA NA NA "${TABLE}.gross_revenue_usd" NA "sum" NA NA NA NA "n transac_type_abbr: 'TH'" NA NA NA NA NA NA NA NA NA NA "est_plus_vod_volume" NA "video" "est_+_vod_volume_(units)" NA NA NA NA "${TABLE}.units" NA "sum" NA NA NA NA "n transac_type_abbr: 'VR, DV'" NA NA NA NA NA NA NA NA NA NA "ivod_volume" NA "video" "ivod_volume_(units)" NA NA NA NA "${TABLE}.units" NA "sum" NA NA NA NA "n store_id: not 554, 555\n transac_type_abbr: 'VR'" NA NA NA NA NA NA NA NA NA NA "netflix_tl" NA "video" "netflix_tl_gross_usd" NA NA NA NA "${TABLE}.gross_revenue_usd" NA "sum" NA NA NA NA "n store_id: 450\n transac_type_abbr: 'TL'" NA NA NA NA NA NA NA NA "video_sd_or_hd" NA NA NA "video" "sd_or_hd" "''" NA NA NA "${TABLE}.video_sd_or_hd" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "video_store_name_mgmt" NA NA NA "video" "store_name_-_mgmt" "''" NA NA NA NA "\n 'iTunes': ${TABLE}.storeid = 1\n 'Amazon Video': ${TABLE}.storeid = 376\n 'Hulu': ${TABLE}.storeid in (392,617)\n 'Vudu': ${TABLE}.storeid = 489\n 'Netflix': ${TABLE}.storeid = 450\n 'Vimeo': ${TABLE}.storeid = 610\n 'Redbull': ${TABLE}.storeid = 661\n 'InDemand (Cable VOD)': ${TABLE}.storeid = 555\n else: 'Other'" "string" NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "us_cananda_bo_gross_sales_usd" NA "video" "us_and_canada_box_office_gross_usd" NA NA NA NA "${TABLE}.gross_revenue_usd" NA "sum" NA NA NA NA "n transac_type_abbr: 'TH'\n country_id: 1,2" NA NA NA NA NA NA NA NA NA NA "vod_volume" NA "video" "vod_volume_(units)" NA NA NA NA "${TABLE}.units" NA "sum" NA NA NA NA "n transac_type_abbr: 'VR'" NA NA NA NA NA NA NA NA NA NA "effective_factor_avg" NA "sales" NA "'This is a dummy variable to work around Group By Error in Looker'" NA "true" NA "${effective_factor_categorically}" NA "avg" NA NA NA NA NA NA NA NA NA NA NA NA NA "effective_factor_categorically" NA NA NA "sales" NA "'factor for scoring per-unit rates. 1K fo Streams and Claims, 1 for all other transaction types'" NA "false" NA NA "\n 1000: ${transac_type_group} in ('Stream', 'Claims')\n else: 1" NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "simple_effective_units" NA "sales" NA NA NA NA NA "|\n case\n when ${stream_vs_download} = 'Stream' then ${units_cat} / 150\n else ${units_cat}\n end" NA "sum" "'[>=1000000]#,##0.0,,\ M\; #,###;'" NA NA NA NA NA NA NA NA NA NA NA NA NA NA "effective_units_calc" NA "sales" "effective_units" "'Based on 1DT in iTunes in US'" NA NA NA "|\n ${units_cat} * ${effective_units.mult_factor}" NA "sum" "'[>=1000000]#,##0.0,,\ M\; #,###'" NA NA NA NA NA NA NA NA NA NA NA NA NA NA "gross_revenue_original_currency" NA "sales" "gross_revenue_original_currency" "'CONFIRM THAT THIS SHOULD BE _number_ AND NOT _sum_'" NA NA NA "${gross_revenue_usd}/${currency_exchange_rate_at_payout}" NA "number" NA NA NA NA NA "10" NA NA NA NA NA NA NA NA NA "units" NA "sales" "units" "''" NA NA NA "${TABLE}.units" NA "sum" "'[>=1000000]#,##0.0,,"" M""; #,###'" NA NA NA NA "0" NA NA NA NA NA NA NA NA NA "units_cat" NA "sales" "units_cat" "''" NA "true" NA "${TABLE}.units" NA "number" "'[>=1000000]#,##0.0,,\ M\; #,###;'" NA NA NA NA "0" NA NA NA NA NA NA NA NA NA "max_release_date" NA "zetl" "max" "''" NA "TRUE" "FALSE" "MAX(${TABLE}.release_date)" NA "string" NA NA "max_date" NA NA NA NA NA NA NA NA NA NA NA NA "max_release_date_added" NA "zetl" "max__added" "''" NA "TRUE" "FALSE" "MAX(${TABLE}.release_date_added)" NA "string" NA NA "max_date_added" NA NA NA NA NA NA NA NA NA NA NA NA "max_accounting_month" NA "zetl" "max_accounting" "''" NA NA "FALSE" "MAX(${TABLE}.accounting_month)" NA "string" NA NA "max_accounting_month" NA NA NA NA NA NA NA NA NA NA NA NA "max_activity_month" NA "zetl" "max_activity" "''" NA NA "FALSE" "MAX(${TABLE}.activity_month)" NA "string" NA NA "max_activity_month" NA NA NA NA NA NA NA NA NA NA NA NA "max_artist_date_created" NA "zetl" "max_artist_created" "''" NA "TRUE" "FALSE" "MAX(${TABLE}.artist_date_created)" NA "string" NA NA "max_artist_date_created" NA NA NA NA NA NA NA NA NA NA NA NA "max_release_sale_physical_date" NA "zetl" "max_sale_physical" "''" NA "TRUE" "FALSE" "MAX(${TABLE}.release_sale_physical_date)" NA "string" NA NA "max_sale_physical_date" NA NA NA NA NA NA NA NA NA NA NA NA "max_release_sale_preorder_date" NA "zetl" "max_sale_preorder" "''" NA "TRUE" "FALSE" "MAX(${TABLE}.release_sale_preorder_date)" NA "string" NA NA "max_sale_preorder_date" NA NA NA NA NA NA NA NA NA NA NA NA "max_release_sale_start_date" NA "zetl" "max_sale_start" "''" NA "TRUE" "FALSE" "MAX(${TABLE}.release_sale_start_date)" NA "string" NA NA "max_sale_start_date" NA NA NA NA NA NA NA NA NA NA NA NA "max_release_theatrical_release_date" NA "zetl" "max_theatrical_release" "''" NA "TRUE" "FALSE" "MAX(${TABLE}.release_theatrical_release_date)" NA "string" NA NA "max_theatrical_release_date" NA NA NA NA NA NA NA NA NA NA NA NA "max_release_vod_start_date" NA "zetl" "max_vod_start" "''" NA "TRUE" "FALSE" "MAX(${TABLE}.release_vod_start_date)" NA "string" NA NA "max_vod_start_date" NA NA NA NA NA NA NA NA NA NA NA NA "min_release_date" NA "zetl" "min" "''" NA "TRUE" "FALSE" "MIN(${TABLE}.release_date)" NA "string" NA NA "min_date" NA NA NA NA NA NA NA NA NA NA NA NA "min_release_date_added" NA "zetl" "min__added" "''" NA "TRUE" "FALSE" "MIN(${TABLE}.release_date_added)" NA "string" NA NA "min_date_added" NA NA NA NA NA NA NA NA NA NA NA NA "min_accounting_month" NA "zetl" "min_accounting" "''" NA NA "FALSE" "MIN(${TABLE}.accounting_month)" NA "string" NA NA "min_accounting_month" NA NA NA NA NA NA NA NA NA NA NA NA "min_activity_month" NA "zetl" "min_activity" "''" NA NA "FALSE" "MIN(${TABLE}.activity_month)" NA "string" NA NA "min_activity_month" NA NA NA NA NA NA NA NA NA NA NA NA "min_artist_date_created" NA "zetl" "min_artist_created" "''" NA "TRUE" "FALSE" "MIN(${TABLE}.artist_date_created)" NA "string" NA NA "min_artist_date_created" NA NA NA NA NA NA NA NA NA NA NA NA "min_release_sale_physical_date" NA "zetl" "min_sale_physical" "''" NA "TRUE" "FALSE" "MIN(${TABLE}.release_sale_physical_date)" NA "string" NA NA "min_sale_physical_date" NA NA NA NA NA NA NA NA NA NA NA NA "min_release_sale_preorder_date" NA "zetl" "min_sale_preorder" "''" NA "TRUE" "FALSE" "MIN(${TABLE}.release_sale_preorder_date)" NA "string" NA NA "min_sale_preorder_date" NA NA NA NA NA NA NA NA NA NA NA NA "min_release_sale_start_date" NA "zetl" "min_sale_start" "''" NA "TRUE" "FALSE" "MIN(${TABLE}.release_sale_start_date)" NA "string" NA NA "min_sale_start_date" NA NA NA NA NA NA NA NA NA NA NA NA "min_release_theatrical_release_date" NA "zetl" "min_theatrical_release" "''" NA "TRUE" "FALSE" "MIN(${TABLE}.release_theatrical_release_date)" NA "string" NA NA "min_theatrical_release_date" NA NA NA NA NA NA NA NA NA NA NA NA "min_release_vod_start_date" NA "zetl" "min_vod_start" "''" NA "TRUE" "FALSE" "MIN(${TABLE}.release_vod_start_date)" NA "string" NA NA "min_vod_start_date" NA NA NA NA NA NA NA NA NA NA "row_number" NA NA NA "zetl" "row_number" "''" NA "TRUE" NA "${TABLE}.row_number" NA "int" "'####'" NA NA "TRUE" NA "0" NA NA NA NA NA NA NA NA NA "adjusted_gross_revenue_usd" NA "sales_usd" "adjusted_gross_revenue_usd" "''" NA NA NA "${TABLE}.adjusted_gross_revenue_usd" NA "sum" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA NA NA NA "8" NA NA NA NA NA NA NA "adjusted_gross_revenue_usd_dimension" NA NA NA "sales_usd" "adjusted_gross_revenue_usd_dimension" "''" NA "TRUE" NA "${TABLE}.adjusted_gross_revenue_usd" NA "number" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA "adjusted_gross_revenue_usd_categorically" NA NA "8" NA NA NA NA NA NA NA NA NA "client_actual_net_usd" NA "sales_usd" "client_actual_net_usd" "''" NA NA NA "${TABLE}.client_actual_net_usd" NA "sum" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA NA NA NA "8" NA NA NA NA NA NA NA "client_actual_net_usd_dimension" NA NA NA "sales_usd" "client_actual_net_usd_dimension" "''" NA "TRUE" NA "${TABLE}.client_actual_net_usd" NA "number" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA "client_actual_net_usd_categorically" NA NA "8" NA NA NA NA NA NA NA NA NA "client_net_receipt_usd_int" NA "sales_usd" "client_net_receipt_usd" "''" NA "true" NA "${TABLE}.client_net_receipt_usd" NA "int" "'[>=1000000]$ #,##0.0,,\ M\; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA "net_receipt" NA NA "8" NA NA NA NA NA NA NA NA NA "client_net_receipt_usd" NA "sales_usd" "client_net_receipt_usd" "''" NA NA NA "${TABLE}.client_net_receipt_usd" NA "sum" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA NA NA NA "8" NA NA NA NA NA NA NA "client_net_receipt_usd_cat" NA NA NA "sales_usd" "client_net_receipt_usd_cat" "''" NA "true" NA "${TABLE}.client_net_receipt_usd" NA "number" NA NA "net_receipt_cat" NA NA "8" NA NA NA NA NA NA NA "client_net_receipt_usd_dimension" NA NA NA "sales_usd" "client_net_receipt_usd_dimension" "''" NA "TRUE" NA "${TABLE}.client_net_receipt_usd" NA "number" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA "client_net_receipt_usd_categorically" NA NA "8" NA NA NA NA NA NA NA NA NA "effective_gross_usd_per_unit" NA "sales_usd" "effective_gross_usd_per_unit" "'Gross Revenue USD per units times the effective factor (1K for Streams; 1 otherwise)'" NA NA NA "|\n ${gross_revenue_usd} * ${effective_factor_avg} / ${units}" NA "number" "'[>=1000000]$ #,##0.0,,\ M\; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA NA NA NA NA NA NA NA NA NA NA NA NA NA "fees_dpd_publishing_usd" NA "sales_usd" "fees_dpd_publishing_usd" "''" NA NA NA "${TABLE}.fees_dpd_publishing_usd" NA "sum" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA NA NA NA "8" NA NA NA NA NA NA NA "fees_dpd_publishing_usd_dimension" NA NA NA "sales_usd" "fees_dpd_publishing_usd_dimension" "''" NA "TRUE" NA "${TABLE}.fees_dpd_publishing_usd" NA "number" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA "fees_dpd_publishing_usd_categorically" NA NA "8" NA NA NA NA NA NA NA NA NA "fees_ringtone_publishing_usd" NA "sales_usd" "fees_ringtone_publishing_usd" "''" NA NA NA "${TABLE}.fees_ringtone_publishing_usd" NA "sum" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA NA NA NA "8" NA NA NA NA NA NA NA "fees_ringtone_publishing_usd_dimension" NA NA NA "sales_usd" "fees_ringtone_publishing_usd_dimension" "''" NA "TRUE" NA "${TABLE}.fees_ringtone_publishing_usd" NA "number" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA "fees_ringtone_publishing_usd_categorically" NA NA "8" NA NA NA NA NA NA NA NA NA "gross_revenue_usd_int" NA "sales_usd" "gross_revenue_usd" "''" NA "true" NA "${TABLE}.gross_revenue_usd" NA "int" "'[>=1000000]$ #,##0.0,,\ M\; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA "gross" NA NA "8" NA NA NA NA NA NA NA NA NA "gross_revenue_usd" NA "sales_usd" "gross_revenue_usd" "''" NA NA NA "${TABLE}.gross_revenue_usd" NA "sum" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA NA NA NA "8" NA NA NA NA NA NA NA "gross_revenue_usd_dimension" NA NA NA "sales_usd" "gross_revenue_usd_dimension" "''" NA "TRUE" NA "${TABLE}.gross_revenue_usd" NA "number" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA "gross_revenue_usd_categorically" NA NA "8" NA NA NA NA NA NA NA "gross_revenue_usd_is_neg" NA NA NA "sales_usd" "gross_revenue_usd_is_negative" "'is gross_revenue_usd negative'" NA NA NA "|\n ${TABLE}.gross_revenue_usd < 0" NA "yesno" NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "gross_revenue_usd_spotify_unreversed" NA "sales_usd" "gross_revenue_usd_spotify_unreversed" "''" NA NA NA "${TABLE}.gross_revenue_usd_spotify_unreversed" NA "sum" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA NA NA NA "8" NA NA NA NA NA NA NA "gross_revenue_usd_spotify_unreversed_dimension" NA NA NA "sales_usd" "gross_revenue_usd_spotify_unreversed_dimension" "''" NA "TRUE" NA "${TABLE}.gross_revenue_usd_spotify_unreversed" NA "number" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA "gross_revenue_usd_spotify_unreversed_categorically" NA NA "8" NA NA NA NA NA NA NA NA NA "orchard_gross_margin_usd" NA "sales_usd" "orchard_gross_margin_usd" "''" NA NA NA "${gross_revenue_usd_int}-${client_net_receipt_usd_int}" NA "sum" "'[>=1000000]$ #,##0.0,,\ M\; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA "Orchard Gross Margin USD" NA NA "8" NA NA NA NA NA NA NA NA NA "other_gross_revenue_usd_yt_not_included" NA "sales_usd" "other_gross_revenue_usd_(yt_not_included)" "'Other non YT Gross Revenue USD'" NA NA NA "${TABLE}.gross_revenue_usd" NA "sum" NA NA NA NA "n store_id: not 453" NA NA NA NA NA NA NA NA NA NA "other_net_revenue_usd_yt_not_included" NA "sales_usd" "other_net_revenue_usd_(yt_not_included)" "'Other non YT Gross Revenue USD'" NA NA NA "${TABLE}.client_net_receipt_usd" NA "sum" NA NA NA NA "n store_id: not 453" NA NA NA NA NA NA NA NA NA NA "yt_audio_gross_revenue_usd" NA "sales_usd" "yt_audio_gross_revenue_usd" "''" NA NA NA "${TABLE}.gross_revenue_usd" NA "sum" "'[>=1000000]$ #,##0.0,,\ M\; [>=100 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'å" NA NA NA "n store_id: 453\n transac_type_abbr: 'AS'" NA NA NA NA NA NA NA NA NA NA "yt_audio_net_revenue_usd" NA "sales_usd" "yt_audio_net_revenue_usd" "''" NA NA NA "${TABLE}.client_net_receipt_usd" NA "sum" "'[>=1000000]$ #,##0.0,,\ M\; [>=100 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'å" NA NA NA "n store_id: 453\n transac_type_abbr: 'AS'" NA NA NA NA NA NA NA NA NA NA "yt_video_gross_revenue_usd" NA "sales_usd" "yt_video_gross_revenue_usd" "''" NA NA NA "${TABLE}.gross_revenue_usd" NA "sum" "'[>=1000000]$ #,##0.0,,\ M\; [>=100 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'å" NA NA NA "n store_id: 453\n transac_type_abbr: 'AV'" NA NA NA NA NA NA NA NA NA NA "yt_video_net_revenue_usd" NA "sales_usd" "yt_video_net_revenue_usd" "''" NA NA NA "${TABLE}.client_net_receipt_usd" NA "sum" "'[>=1000000]$ #,##0.0,,\ M\; [>=100 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'å" NA NA NA "n store_id: 453\n transac_type_abbr: 'AV'" NA NA NA NA NA NA NA NA NA NA "adjusted_gross_ccur" NA "sales_in_clients_cur" "adjusted_gross_ccur" "''" NA NA NA "${TABLE}.adjusted_gross_ccur" NA "sum" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA NA NA NA "8" NA NA NA NA NA NA NA "adjusted_gross_ccur_dimension" NA NA NA "sales_in_clients_cur" "adjusted_gross_ccur_dimension" "''" NA "TRUE" NA "${TABLE}.adjusted_gross_ccur" NA "number" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA "adjusted_gross_ccur_categorically" NA NA "8" NA NA NA NA NA NA NA NA NA "client_actual_net_ccur" NA "sales_in_clients_cur" "client_actual_net_ccur" "''" NA NA NA "${TABLE}.client_actual_net_ccur" NA "sum" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA NA NA NA "8" NA NA NA NA NA NA NA "client_actual_net_ccur_dimension" NA NA NA "sales_in_clients_cur" "client_actual_net_ccur_dimension" "''" NA "TRUE" NA "${TABLE}.client_actual_net_ccur" NA "number" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA "client_actual_net_ccur_categorically" NA NA "8" NA NA NA NA NA NA NA NA NA "client_net_receipt_ccur" NA "sales_in_clients_cur" "client_net_receipt_ccur" "''" NA NA NA "${TABLE}.client_net_receipt_ccur" NA "sum" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA NA NA NA "8" NA NA NA NA NA NA NA "client_net_receipt_ccur_dimension" NA NA NA "sales_in_clients_cur" "client_net_receipt_ccur_dimension" "''" NA "TRUE" NA "${TABLE}.client_net_receipt_ccur" NA "number" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA "client_net_receipt_ccur_categorically" NA NA "8" NA NA NA NA NA NA NA NA NA "fees_dpd_publishing_ccur" NA "sales_in_clients_cur" "fees_dpd_publishing_ccur" "''" NA NA NA "${TABLE}.fees_dpd_publishing_ccur" NA "sum" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA NA NA NA "8" NA NA NA NA NA NA NA "fees_dpd_publishing_ccur_dimension" NA NA NA "sales_in_clients_cur" "fees_dpd_publishing_ccur_dimension" "''" NA "TRUE" NA "${TABLE}.fees_dpd_publishing_ccur" NA "number" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA "fees_dpd_publishing_ccur_categorically" NA NA "8" NA NA NA NA NA NA NA NA NA "fees_ringtone_publishing_ccur" NA "sales_in_clients_cur" "fees_ringtone_publishing_ccur" "''" NA NA NA "${TABLE}.fees_ringtone_publishing_ccur" NA "sum" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA NA NA NA "8" NA NA NA NA NA NA NA "fees_ringtone_publishing_ccur_dimension" NA NA NA "sales_in_clients_cur" "fees_ringtone_publishing_ccur_dimension" "''" NA "TRUE" NA "${TABLE}.fees_ringtone_publishing_ccur" NA "number" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA "fees_ringtone_publishing_ccur_categorically" NA NA "8" NA NA NA NA NA NA NA NA NA "gross_revenue_ccur" NA "sales_in_clients_cur" "gross_revenue_ccur" "''" NA NA NA "${TABLE}.gross_revenue_ccur" NA "sum" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA NA NA NA "8" NA NA NA NA NA NA NA "gross_revenue_ccur_dimension" NA NA NA "sales_in_clients_cur" "gross_revenue_ccur_dimension" "''" NA "TRUE" NA "${TABLE}.gross_revenue_ccur" NA "number" "'[>=1000000]$ #,##0.0,,"" M""; [>=10 OR =0]$ #,##0; [>=.0000001]$ #,##0.0000;'" NA "gross_revenue_ccur_categorically" NA NA "8" NA NA NA NA NA NA NA NA NA "gross_revenue_group_1" NA "zgroup" NA "''" NA NA NA "${TABLE}.gross" NA "sum" NA NA NA NA "n is_upc_group_1: yes" "10" NA NA NA NA NA NA NA NA NA "gross_revenue_group_2" NA "zgroup" NA "''" NA NA NA "${TABLE}.gross" NA "sum" NA NA NA NA "n is_upc_group_2: yes" "10" NA NA NA NA NA NA NA "is_label_group_1" NA NA NA "zgroup" NA "''" NA NA NA "|\n {% condition group_1%} ${label_id} {% endcondition %}" NA "yesno" NA NA NA NA NA NA NA NA NA NA NA NA NA "is_label_group_2" NA NA NA "zgroup" NA "''" NA NA NA "|\n {% condition group_2%} ${label_id} {% endcondition %}" NA "yesno" NA NA NA NA NA NA NA NA NA NA NA NA NA "is_store_group_1" NA NA NA "zgroup" NA "''" NA NA NA "|\n {% condition group_1%} ${store_id} {% endcondition %}" NA "yesno" NA NA NA NA NA NA NA NA NA NA NA NA NA "is_store_group_2" NA NA NA "zgroup" NA "''" NA NA NA "|\n {% condition group_2%} ${store_id} {% endcondition %}" NA "yesno" NA NA NA NA NA NA NA NA NA NA NA NA NA "is_upc_group_1" NA NA NA "zgroup" NA "''" NA NA NA "|\n {% condition group_1%} ${upc} {% endcondition %}" NA "yesno" NA NA NA NA NA NA NA NA NA NA NA NA NA "is_upc_group_2" NA NA NA "zgroup" NA "''" NA NA NA "|\n {% condition group_2%} ${upc} {% endcondition %}" NA "yesno" NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "net_receipt_group_1" NA "zgroup" NA "''" NA NA NA "${TABLE}.net_receipt" NA "sum" NA NA NA NA "n is_upc_group_1: yes" "10" NA NA NA NA NA NA NA NA NA "net_receipt_group_2" NA "zgroup" NA "''" NA NA NA "${TABLE}.net_receipt" NA "sum" NA NA NA NA "n is_upc_group_2: yes" "10" NA NA NA NA NA NA NA "sd_or_hd" NA NA NA "'exchange_rates_&_conversion'" "sd_or_hd" "''" NA NA NA "${TABLE}.sd_or_hd" NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "rank_label_is_o_and_o_filter" "z_ranks_&_top-x" "'filter_top-x_by:_is_owned_&_operated_(y/n)'" "'Applies ONLY to filter (and thus, the fields in this group).'" NA NA NA NA NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "rank_isrc_filter" "z_ranks_&_top-x" "'filter_top-x_by:_isrc'" "'Applies ONLY to filter (and thus, the fields in this group).'" NA NA NA NA NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "rank_upc_filter" "z_ranks_&_top-x" "'filter_top-x_by:_upc'" "'Applies ONLY to filter (and thus, the fields in this group).'" NA NA NA NA NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "rank_artistid_filter" "z_ranks_&_top-x" "'filter_top-x_by:_artist_id'" "'Applies ONLY to filter (and thus, the fields in this group).'" NA NA NA NA NA "string" NA NA "rank_artist_id_filter" NA NA NA NA NA NA NA NA NA NA NA NA NA "rank_client_manager_filter" "z_ranks_&_top-x" "'filter_top-x_by:_client_manager'" "'Applies ONLY to filter (and thus, the fields in this group).'" NA NA NA NA NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "rank_date_filter" "z_ranks_&_top-x" "'filter_top-x_by:_date'" "'Applies ONLY to filter (and thus, the fields in this group).'" NA NA NA NA NA "date" NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "rank_storeid_filter" "z_ranks_&_top-x" "'filter_top-x_by:_store_id'" "'Applies ONLY to filter (and thus, the fields in this group).'" NA NA NA NA NA "int" NA NA "rank_store_id_filter" NA NA NA NA NA NA NA NA NA NA NA NA NA "rank_labelid_filter" "z_ranks_&_top-x" "'filter_top-x_by:_label_id'" "'Applies ONLY to filter (and thus, the fields in this group).'" NA NA NA NA NA "int" NA NA "rank_label_id_filter" NA NA NA NA NA NA NA NA NA NA NA NA NA "rank_store_name_filter" "z_ranks_&_top-x" "'filter_top-x_by:_store_name'" "'Applies ONLY to filter (and thus, the fields in this group).'" NA NA NA NA NA "int" NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "rank_country_code_filter" "z_ranks_&_top-x" "'filter_top-x_by:_country_code'" "'Applies ONLY to filter (and thus, the fields in this group).'" NA NA NA NA NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "rank_supply_chain_filter" "z_ranks_&_top-x" "'filter_top-x_by:_supply_chain_(red_etc)'" "'Applies ONLY to filter (and thus, the fields in this group).'" NA NA NA NA NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "rank_continent_filter" "z_ranks_&_top-x" "'filter_top-x_by:_continent'" "'Applies ONLY to filter (and thus, the fields in this group).'" NA NA NA NA NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "rank_region_group_filter" "z_ranks_&_top-x" "'filter_top-x_by:_region_group'" "'Applies ONLY to filter (and thus, the fields in this group).'" NA NA NA NA NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "rank_music_vs_video_filter" "z_ranks_&_top-x" "'filter_top-x_by:_music_vs_video'" "'Applies ONLY to filter (and thus, the fields in this group).'" NA NA NA NA NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "rank_genre_filter" "z_ranks_&_top-x" "'filter_top-x_by:_genre'" "'Applies ONLY to filter (and thus, the fields in this group).'" NA NA NA NA NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "rank_stream_vs_download_filter" "z_ranks_&_top-x" "'filter_top-x_by:_stream_vs_download'" "'Applies ONLY to filter (and thus, the fields in this group).'" NA NA NA NA NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA "rank_transac_type_abbr_filter" "z_ranks_&_top-x" "'filter_top-x_by:_transac_type_abbr'" "'Applies ONLY to filter (and thus, the fields in this group).'" NA NA NA NA NA "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "video_store_name" NA NA NA "video" "store_name" "''" NA NA NA NA "\n 'iTunes': ${TABLE}.storeid = 1\n 'Amazon': ${TABLE}.storeid = 187\n 'Google Play': ${TABLE}.storeid = 496\n 'Vudu': ${TABLE}.storeid = 489\n 'Xbox': ${TABLE}.storeid = 487\n 'Playstation': ${TABLE}.storeid = 478\n else: 'Other'" "string" NA NA NA NA NA NA NA NA NA NA NA NA NA "video_transaction_type" NA NA NA "video" "transaction_type" "''" NA NA NA NA "\n 'EST': ${TABLE}.transac_type_abbr = 'DV'\n 'VOD': ${TABLE}.transac_type_abbr = 'VR'\n else: 'Other'" "string" NA NA NA NA NA NA NA NA NA NA NA NA NA