{ "auto_complete": { "selected_items": [ [ "add", "add.time.info" ], [ "even", "event_start_time" ], [ "event", "event_end_time" ], [ "verbose", "verboseMsg" ], [ "Drop", "drop.these.columns" ], [ "not", "notUsing" ], [ "custome", "customer_identifier" ], [ "drop", "drop.these.columns" ], [ "col", "col_classes" ], [ "POS", "POSIXct.milli" ], [ "Ski", "SkippedAfter30" ], [ "Skipp", "SkippedBefore30" ], [ "apple", "apple_id" ], [ "dur", "dur10" ], [ "DB.irad", "DB.iradio.event" ], [ "DB.", "DB.iradio.event" ], [ "Sec", "Secs_30" ], [ "Secs", "Secs_10" ], [ "Ske", "SkippedBefore30" ], [ "customer", "customer_id" ], [ "scale_", "scale_y_log10" ], [ "uniq", "uniqTracks" ], [ "unq.tr", "uniq.users.per.track" ], [ "un", "uniq.tracks.per.user" ], [ "USer", "Users" ], [ "stat", "station_id" ], [ "DB.ir", "DB.iradio.event" ], [ "DB.I", "DB.iradio.station" ], [ "id", "idnms" ], [ "DB.ird", "DB.iradio.customer" ], [ "evetn", "event_start_time" ], [ "end", "end_reason" ], [ "ed", "end_reason" ], [ "DB", "DB.test" ], [ "irad", "iradio.tbls" ], [ "ir", "iradio.tbls" ], [ "count", "countdoublecheck" ], [ "xls", "xlsfile2" ], [ "file", "fileName" ], [ "EXA", "ExampleB" ], [ "util", "utilSource" ], [ ".get", ".getDTcols" ], [ "curr", "currentDT" ], [ "single", "singlecol" ], [ "get", "getOption" ], [ "cum", "cumsum" ], [ "b.", "b.init" ], [ "fil", "filter.namedlist" ], [ "by", "byvals" ], [ "gg", "ggHeatGrid" ], [ "matc", "match.fun" ], [ "match", "match.arg" ], [ "byval", "byvals" ], [ "scal", "scaleunif" ], [ "relea", "releaseName" ], [ "release", "releaseDate" ], [ "art", "artist_labelID" ], [ "ex", "exists" ], [ "remote", "remotefile" ], [ "DT.", "DT.genreAndRelease" ], [ "DT.re", "DT.releaseDatesDB" ], [ "date", "dateCol" ], [ "fac", "factorCols" ], [ "upc", "upcUsing" ], [ "All", "Allele_A" ], [ "DT.m", "DT.mat2" ], [ "D", "DB2" ], [ ".SD", ".DTSD" ], [ "Gro", "groups" ], [ "for", "formnumb" ], [ "byC", "byCols.dict" ], [ "XLS", "XLS.byCols" ], [ "XSL", "XLS.dateCol" ], [ "NA", "NAsynonyms" ], [ "class", "classType" ], [ "to", "toInteger" ], [ "streams", "StreamsReport" ], [ "ST", "StreamsReport" ], [ "Strea", "StreamsReport" ], [ "totalSpend.by.UP", "totalSpend.by.UPCcidDate" ], [ "total", "totalSpend.by.UPCcid" ], [ "tota", "totalUPCspend.bycid" ], [ "min", "minDate" ], [ ".", ".hasr" ], [ "recon", "reconcileReturns" ], [ "order", "orderHasAnAlbum" ], [ "pric", "Price" ], [ "pri", "prices" ], [ "cance", "canceled" ], [ "Tot", "TotUnits.by.ocp" ], [ "lun", "luniq.S_R" ], [ "bad", "badDataRow" ], [ "NOt", "NOTES" ], [ "To", "TotalUnits.by.cid.pid" ], [ "Tota", "TotalUnits.by.oid.pid" ], [ "wh", "whereAreTheMultipleRowsPerGroup" ], [ "cid", "cid.moreNegThanPos" ], [ "cus", "customer_identifier" ], [ "should", "should.be.unique.by.vID" ], [ "cos", "colsToCheck" ], [ "paste", "pasteQ" ], [ "no", "noDups" ], [ "cols", "colsToCheck" ], [ "name", "nameCol" ], [ "pro", "product" ], [ "vend", "vendor_offer_code" ], [ "prod", "product_type_identifier" ], [ "releas", "releaseDate" ], [ "Db", "DB.raw" ], [ "fore", "foreignThresh" ], [ "ry", "royaltyCols" ], [ "sale", "sale_return" ], [ "id.", "id.col.AS" ], [ "len", "len Length" ], [ "DT", "DT.TEST" ], [ "make", "If.CantDrop.MakeNameUnique" ], [ "tri", "tripEq" ], [ "TB", "TBLS.itunes" ], [ "q.nm", "q.nm.rel" ], [ "re", "releaseDates" ], [ "QRE", "QRES.Export" ], [ "cust", "customer_price" ], [ "all", "allPossibleNumerics" ], [ "isNum", "isNumberAll" ], [ "roya", "royaltyCols" ], [ "dropp", "droppedCols" ], [ "une", "unevenColumns" ], [ "roy", "royaltyCols" ] ] }, "buffers": [ { "file": "/Users/rsaporta/git/orch/src/iRadio/Pull All.r", "settings": { "buffer_size": 3741, "line_ending": "Unix" } }, { "file": "/Users/rsaporta/git/orch/src/iRadio/Zip Code Pull.r", "settings": { "buffer_size": 1004, "line_ending": "Unix", "name": "Zip Code Pull.r" } }, { "file": "/Users/rsaporta/git/orch/src/iRadio/Aggregates.r", "settings": { "buffer_size": 7053, "line_ending": "Unix" } }, { "file": "/Users/rsaporta/git/orch/src/iRadio/Additional Info", "settings": { "buffer_size": 875, "line_ending": "Unix" } }, { "contents": "f.out <- as.path(outDir, \"iRadio_prelim.pdf\")\npdf(file=f.out, width=7, height=10)\n# #======================================= #\n\n## INCORPORATE THIE... REMOVE BAD DATES / DATA\nDB.iradio.event <- DB.iradio.event[event_start_time >= as.POSIXct(\"2013-11-01\", format=\"%Y-%m-%d\")]\n\n# ----------------\n\n dateRange <- DB.iradio.event[, c(minDate = min(event_start_time, na.rm=TRUE), madDate = max(event_end_time))]\n dateRange <- format(dateRange, format=\"%b %d, %Y\")\n\n\n setkeyIfNot(DB.iradio.event, end_reason, device_type)\n TotalUniqueTracks <- DB.iradio.event[, lunique(apple_id)]\n TotalUniqueUsers <- DB.iradio.event[, lunique(customer_id)]\n\n ## Number of data rows, just of type \"played\"\n TotalTracksStreamed <- DB.iradio.event[event_type==\"Played\", .N ]\n\n\n UniquePlayedTracks <- DB.iradio.event[.(\"Natural\")][, lunique(apple_id)]\n\n ## Tally the end reason types\n device_type <- DB.iradio.event[, list(count=.N), by=device_type]\n device_type.by.end_reason <- DB.iradio.event[, list(count=.N), keyby=list(device_type, end_reason)]\n\n ## cound the sum for each duration length, reshaping the data for graphing\n skip.duration <- DB.iradio.event[end_reason==\"Skipped\", {J <- lapply(.SD, sum); data.table(do.call(rbind, J), keep.rownames=TRUE)}, .SDcols=c(\"SkippedBefore10\", \"SkippedBefore30\", \"SkippedAfter30\"), by=device_type]\n setnames(skip.duration, c(\"rn\", \"V1\"), c(\"skip_time\", \"count\"))\n skip.duration[, skip_time := factor(skip_time, levels=c(\"SkippedBefore10\", \"SkippedBefore30\", \"SkippedAfter30\"), labels=c(\" < 10\", \"10 < 30\", \"30 + \"))]\n\n\n ## Tally the end reason types\n end_reason <- DB.iradio.event[!.(\"Other\"), list(count=.N), by=end_reason]\n\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n{\n ## DATE RANGE\n cat(sprintf(\"Our data covers the dates from\\n %s to %s\\n\", dateRange[[1]], dateRange[[2]]))\n cat(\"\\n\")\n\n ## Number of Unique Tracks played\n cat(sprintf( \"And contains %s unique tracks with %s unique users\\nwho have streamed a total of %s songs.\", formnumb(TotalUniqueTracks), formnumb(TotalUniqueUsers), formnumb(TotalTracksStreamed) ))\n cat(\"\\n\")\n\n}\n#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\ndev.new()\n ## end_reason, including \"Other\" \n ggDonut(device_type.by.end_reason, \"count\", group=\"end_reason\", byCols=\"device_type\", title=\"Track skips by device\\n(All streams, Nov 2013)\", group.nm=\"Reason for\\ntrack ending\", total=sum, total.tail=\"Total Streams\", thickness=.5, sortOn=\"end_reason\")\n ## end_reason, without \"Other\" \n ggDonut(device_type.by.end_reason[end_reason!=\"Other\"], \"count\", group=\"end_reason\", byCols=\"device_type\", title=\"Track skips by device\\n(All streams, Nov 2013)\", group.nm=\"Reason for\\ntrack ending\", total=sum, total.tail=\"Total Streams\", thickness=.5, sortOn=\"end_reason\")\n\n ggDonut(skip.duration, \"count\", group=\"skip_time\", group.nm=\"Seconds Played\\nBefore Skip\", byCols=\"device_type\", title=\"Average Wait time before Skipping\\nMobile vs Desktop\\n(All streams, Nov 2013)\", total=sum, total.tail=\"Total Streams\", thickness=.5)\n\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n\n ## end_reason \n ggDonut(end_reason, \"count\", \"end_reason\", title=\"How Song Ended\\n(All streams, Nov 2013)\", group.nm=\"\", total=sum, total.tail=\"Total Streams\", thickness=.5)\n\n\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\ndev.off()\n\n\n\n\n\n\n\n\n\n\n\n end_reason_uniquetracks <- DB.iradio.event[!.(\"Other\"), list(count = lunique(apple_id)), by=end_reason]\n\n ## end_reason \n ggDonut( end_reason_uniquetracks, \"count\", \"end_reason\", size=4, dontCopy=FALSE, title=\"How Song Ended\\n(Streams for Unique Tracks, Nov 2013)\", group.nm=\"\", total=sum, total.tail=\"Unique Tracks\", thickness=.5)\n\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n never_skipped <- DB.iradio.event[!.(\"Other\"), .N, by=end_reason]\n\n ## end_reason \n ggDonut(end_reason, \"N\", \"end_reason\", size=4, dontCopy=FALSE, title=\"How Song Ended\\n(All streams, Nov 2013)\", group.nm=\"\")\n\n\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n\n DB.iradio.event[event_start_time < as.POSIXct(\"2013-01-01\", origin=.origin.utc)][order(event_start_time)]\n\n DB.iradio.event[, month_start := month(event_start_time)]\n DB.iradio.event[, table(paste(year(event_start_time), month_start), event_type)]\n\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n\n\n\n\n\n\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n\n### ------ SAMPLE .md ------- ###\n\n```{r, echo=FALSE}\n.us()\n \n```\n\n\n```{r, echo=FALSE}\nsetkeyIfNot(DB.iradio.event, event_type)\n\n \n```\n\n\n\n\n```{r dotpointprint, results='asis', echo=FALSE}\nbasic.counts <-(DB.iradio.event[, .N, by=list(Event=event_type)])\nsetcolorder(basic.counts, rev(names(basic.counts)))\nbasic.counts[, list(\"These many \"=N, \" tracks were\"=Event)]\n```\n\n```{r multipleplots, echo=FALSE}\nboxplot(1:10~rep(1:2,5))\nplot(x, y)\n```\n", "file": "/Users/rsaporta/git/orch/src/iRadio/Output Knitr.r", "file_size": 5199, "file_write_time": 130310596610000000, "settings": { "buffer_size": 5204, "line_ending": "Unix" } }, { "file": "/Users/rsaporta/git/orch/src/iRadio/iRadioMeta.r", "settings": { "buffer_size": 8494, "line_ending": "Unix", "name": "# iRadioMeta.r" } }, { "contents": "Searching 9 files for \".meta.iradio.event.factorlist\"\n\n/Users/rsaporta/git/orch/src/iRadio/iRadioMeta.r:\n 5 \n 6 \n 7: .meta.iradio.event.factorlist <- list(\n 8 'end_reason' = list(\n 9 levels = 0:2\n ..\n 35 ## ie: \n 36 ## eval(.meta.iradio.event.FIXCOLS)\n 37: .meta.iradio.event.FIXCOLS <- quote(fixColTypes_(DB.iradio.event, idcol=.meta.iradio.event.idcols, POSIXct.milli=.meta.iradio.event.posixCols.mili, factor_list=.meta.iradio.event.factorlist, drop.these.columns=.meta.iradio.event.notUsing))\n 38 \n 39 # -------------------------------------------------------------------------------- #\n\n2 matches in 1 file\n", "settings": { "buffer_size": 663, "line_ending": "Unix", "name": "Find Results", "scratch": true } }, { "contents": "# QuickAnalysis.r\n\n name rows cols keys\n1: DB.iradio.event 22179572 13\n2: DB.iradio.customer 14487506 6\n3: DB.iradio.station 1436927 6\n4: DB.iradio.content 1208702 13\n\n\n.us()\nDBs <- c(\"DB.iradio.event\", \"DB.iradio.customer\", \"DB.iradio.station\", \"DB.iradio.content\")\n\n{\n DB2 <- DBs[!sapply(DBs, exists)]\n loadFromJesus(DB2)\n}\n\nfor (DB in DBs)\n if (length(idnms <- extractnms(\"identifier\", get(DB))))\n setnames(get(DB), idnms, gsub(\"identifier\", \"id\", idnms, ignore.case=TRUE))\n\nare(DBs)\n\n ---++====<{ 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