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MarketBasketAnalysis.json
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{"paragraphs":[{"text":"%spark\nimport org.apache.spark.mllib.fpm.FPGrowth\nimport org.apache.spark.rdd.RDD\nimport sys.process._\n\nval data = sc.textFile(\"/user/admin/retail/marketbaskets/part-r-00000\")\n\nval transactions: RDD[Array[String]] = data.map(s => s.trim.split(','))\n\nval fpg = new FPGrowth()\n .setMinSupport(0.007)\n .setNumPartitions(10)\nval model = fpg.run(transactions)\n\nmodel.freqItemsets.collect().foreach { itemset =>\n println(itemset.items.mkString(\"[\", \",\", \"]\") + \", \" + itemset.freq)\n}\n\nval minConfidence = 0.8\nmodel.generateAssociationRules(minConfidence).collect().foreach { rule =>\n println(\n rule.antecedent.mkString(\"[\", \",\", \"]\")\n + \" => \" + rule.consequent .mkString(\"[\", \",\", \"]\")\n + \", \" + rule.confidence)\n}\n\n","dateUpdated":"Aug 17, 2016 12:34:01 AM","config":{"colWidth":12,"graph":{"mode":"table","height":300,"optionOpen":false,"keys":[],"values":[],"groups":[],"scatter":{}},"enabled":true,"editorMode":"ace/mode/scala"},"settings":{"params":{},"forms":{}},"jobName":"paragraph_1470258347579_-1168806432","id":"20160803-210547_1364956901","result":{"code":"SUCCESS","type":"TEXT","msg":"import org.apache.spark.mllib.fpm.FPGrowth\nimport org.apache.spark.rdd.RDD\nimport sys.process._\ndata: org.apache.spark.rdd.RDD[String] = MapPartitionsRDD[1] at textFile at <console>:35\ntransactions: org.apache.spark.rdd.RDD[Array[String]] = MapPartitionsRDD[2] at map at <console>:38\nfpg: org.apache.spark.mllib.fpm.FPGrowth = org.apache.spark.mllib.fpm.FPGrowth@653c08bd\nmodel: org.apache.spark.mllib.fpm.FPGrowthModel[String] = org.apache.spark.mllib.fpm.FPGrowthModel@142a92a2\n[2147], 57\n[2236], 106\n[2248], 178\n[2282], 88\n[2298], 132\n[8487], 260\n[7147], 50\n[2315], 80\n[8515], 114\n[8515,2116], 50\n[2326], 61\n[8497], 199\n[2198], 94\n[2116], 144\n[8494], 343\n[2124], 66\n[2110], 53\n[2353], 97\n[2316], 161\n[2115], 84\n[2237], 123\n[2237,2238], 59\n[2192], 214\n[2192,2193], 59\n[2192,2238], 84\n[2192,2071], 55\n[2192,2320], 69\n[2254], 48\n[2166], 77\n[2242], 560\n[2108], 114\n[2304], 60\n[7932], 93\n[2330], 199\n[2175], 144\n[2246], 334\n[2202], 53\n[2109], 84\n[2109,2108], 56\n[2112], 66\n[2243], 120\n[4813], 97\n[2277], 211\n[2214], 160\n[2320], 550\n[2355], 57\n[8402], 88\n[8402,2211], 52\n[2098], 47\n[2300], 75\n[2278], 131\n[2121], 252\n[2068], 105\n[4818], 177\n[2139], 50\n[2233], 79\n[2297], 119\n[2301], 66\n[2339], 97\n[2332], 211\n[4759], 157\n[2238], 481\n[2238,2320], 205\n[2306], 56\n[2302], 88\n[2132], 74\n[2218], 131\n[2071], 250\n[2071,2193], 75\n[2071,2193,2238], 50\n[2071,2238], 111\n[2071,2238,2320], 49\n[2071,2072], 90\n[2071,2072,2238], 52\n[2071,2320], 88\n[2314], 104\n[2235], 177\n[2235,2238], 58\n[2235,2072], 79\n[2235,2320], 49\n[4600], 60\n[2220], 50\n[2281], 92\n[2323], 143\n[2323,2324], 53\n[2325], 79\n[2308], 318\n[2285], 114\n[2255], 198\n[2231], 52\n[2264], 84\n[2333], 73\n[2291], 131\n[2291,2208], 57\n[2324], 242\n[2324,2272], 57\n[2311], 104\n[2280], 176\n[7280], 60\n[2212], 50\n[8475], 92\n[8503], 79\n[2215], 143\n[2217], 317\n[2217,8494], 62\n[2307], 113\n[2290], 192\n[2150], 65\n[2342], 52\n[2276], 97\n[2331], 153\n[2188], 83\n[2272], 444\n[2272,2242], 65\n[2289], 119\n[2328], 211\n[8483], 56\n[2227], 87\n[7145], 79\n[2274], 113\n[2357], 60\n[2206], 91\n[2284], 191\n[2209], 143\n[2340], 65\n[2211], 311\n[2170], 95\n[4811], 52\n[2152], 151\n[2152,4818], 60\n[2229], 83\n[2118], 119\n[2072], 416\n[2072,2238], 225\n[2072,2238,2320], 118\n[2072,2320], 177\n[2299], 209\n[8437], 73\n[2348], 102\n[2338], 55\n[2179], 172\n[2149], 87\n[2310], 129\n[2219], 242\n[8505], 49\n[2174], 82\n[2318], 118\n[2190], 65\n[2256], 208\n[2292], 95\n[2123], 150\n[2208], 399\n[2230], 72\n[2096], 55\n[2204], 101\n[2249], 172\n[2189], 86\n[2295], 128\n[2319], 242\n[2319,2238], 70\n[2319,2238,2320], 62\n[2319,2320], 138\n[2205], 49\n[3744], 78\n[2103], 110\n[2322], 59\n[2261], 190\n[2216], 90\n[2207], 141\n[4756], 306\n[2120], 52\n[4819], 86\n[2146], 71\n[2117], 127\n[2263], 228\n[2263,2262], 56\n[2343], 100\n[2162], 171\n[8517], 49\n[1503], 78\n[8506], 109\n[2125], 59\n[2317], 188\n[2317,2269], 68\n[2138], 90\n[2265], 140\n[2266], 288\n[2266,2238], 88\n[2266,2072], 70\n[2266,2072,2238], 60\n[2266,2320], 55\n[2268], 51\n[2293], 82\n[2074], 63\n[2275], 117\n[8504], 95\n[2097], 205\n[8499], 150\n[2269], 369\n[2269,2272], 48\n[2269,2242], 108\n[8498], 54\n[2350], 89\n[2327], 49\n[1505], 138\n[2354], 78\n[2193], 282\n[2193,2238], 147\n[2193,2238,2320], 72\n[2193,2072], 110\n[2193,2072,2238], 78\n[2193,2072,2320], 48\n[2193,2320], 105\n[2067], 109\n[2283], 187\n[2283,2211], 81\n[2111], 63\n[2187], 94\n[2134], 51\n[2247], 148\n[2247,2246], 55\n[2313], 81\n[2232], 116\n[8512], 366\n[2241], 203\n[2241,2238], 50\n[2241,2320], 51\n[2241,2192], 48\n[2177], 54\n[2167], 86\n[2197], 126\n[2197,2121], 58\n[2271], 70\n[2213], 227\n[2358], 99\n[2113], 166\n[7274], 59\n[2344], 51\n[8407], 94\n[8501], 81\n[2250], 147\n[2262], 361\n[2262,2272], 48\n[8258], 115\n[2173], 203\n[2173,8512], 71\n[2075], 67\n[2184], 99\n[2253], 53\n[2257], 163\n[2303], 85\n[8249], 124\n[8249,8248], 71\n[2321], 58\n[2279], 218\n[2279,8494], 47\n[2356], 49\n[2222], 88\n[2309], 78\n[2260], 137\n[2259], 107\n[2329], 272\n[2191], 186\n[2244], 62\n[1616], 53\n[2312], 97\n[2286], 162\n[2286,2263], 47\n[2286,2211], 47\n[2221], 85\n[2148], 124\n[2148,2211], 67\n[2245], 214\n[2182], 48\n[2091], 77\n[2228], 58\n[2349], 106\n[2153], 88\n[2334], 180\n[2334,2320], 68\n[2294], 136\n[2171], 61\n[8248], 271\n[2305], 94\n[2142], 50\n[2131], 81\n[2273], 147\n[2273,2272], 69\n[2258], 115\n[2296], 356\n[2296,2272], 74\n[2335], 201\n[2335,2211], 84\n[2267], 67\nminConfidence: Double = 0.8\n[2319,2238] => [2320], 0.8857142857142857\n[2266,2072] => [2238], 0.8571428571428571\n"},"dateCreated":"Aug 3, 2016 9:05:47 PM","dateStarted":"Aug 6, 2016 3:39:14 PM","dateFinished":"Aug 6, 2016 3:39:55 PM","status":"FINISHED","progressUpdateIntervalMs":500,"$$hashKey":"object:2318"},{"text":"%md\n#Association Rules Interpretation\n- Customers who bought a notepad or shopping list, along with a lunch bag bought a jumbo grocery bag more than 88% of the time.\n","dateUpdated":"Aug 6, 2016 3:50:29 PM","config":{"colWidth":12,"graph":{"mode":"table","height":300,"optionOpen":false,"keys":[],"values":[],"groups":[],"scatter":{}},"enabled":true,"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"jobName":"paragraph_1470277384086_958739641","id":"20160804-022304_1393881735","result":{"code":"SUCCESS","type":"HTML","msg":"<h1>Association Rules Interpretation</h1>\n<ul>\n<li>Customers who bought a notepad or shopping list, along with a lunch bag bought a jumbo grocery bag more than 88% of the time.</li>\n</ul>\n"},"dateCreated":"Aug 4, 2016 2:23:04 AM","dateStarted":"Aug 6, 2016 3:50:26 PM","dateFinished":"Aug 6, 2016 3:50:27 PM","status":"FINISHED","progressUpdateIntervalMs":500,"$$hashKey":"object:2319"},{"text":"%sql\nselect distinct stockcode, description from retailsales where stockcode like '2319%' \n or stockcode like '2238%' \n or stockcode like '2320%' \n or stockcode like '2266%'\n or stockcode like '2072%' \n and description <> '' and description not like '%com%' and description not like 'mailout%' and description not like 'damaged%' order by stockcode asc","dateUpdated":"Aug 17, 2016 1:01:51 AM","config":{"colWidth":12,"graph":{"mode":"table","height":300,"optionOpen":false,"keys":[{"name":"stockcode","index":0,"aggr":"sum"}],"values":[{"name":"description","index":1,"aggr":"sum"}],"groups":[],"scatter":{"xAxis":{"name":"stockcode","index":0,"aggr":"sum"},"yAxis":{"name":"description","index":1,"aggr":"sum"}}},"enabled":true,"editorMode":"ace/mode/sql"},"settings":{"params":{},"forms":{}},"jobName":"paragraph_1470258361803_-454096217","id":"20160803-210601_1353145663","result":{"code":"SUCCESS","type":"TABLE","msg":"stockcode\tdescription\n20723\tSTRAWBERRY CHARLOTTE BAG\n20724\tRED RETROSPOT CHARLOTTE BAG\n20725\tLUNCH BAG RED RETROSPOT\n20725\tLUNCH BAG RED SPOTTY\n20726\tLUNCH BAG WOODLAND\n20727\tLUNCH BAG BLACK SKULL.\n20728\tLUNCH BAG CARS BLUE\n22380\tTOY TIDY SPACEBOY \n22381\tTOY TIDY PINK POLKADOT\n22382\tLUNCH BAG SPACEBOY DESIGN \n22383\tLUNCH BAG SUKI DESIGN \n22383\tLUNCH BAG SUKI DESIGN \n22384\tLUNCH BAG PINK POLKADOT\n22385\tJUMBO BAG SPACEBOY DESIGN\n22386\tJUMBO BAG PINK POLKADOT\n22389\tPAPERWEIGHT SAVE THE PLANET\n22660\tDOORMAT I LOVE LONDON\n22661\tCHARLOTTE BAG DOLLY GIRL DESIGN\n22662\tLUNCH BAG DOLLY GIRL DESIGN\n22663\tJUMBO BAG DOLLY GIRL DESIGN\n22664\tTOY TIDY DOLLY GIRL DESIGN\n22665\tRECIPE BOX BLUE SKETCHBOOK DESIGN\n22665\t\n22666\tRECIPE BOX PANTRY YELLOW DESIGN\n22667\tdamaged\n22667\tRECIPE BOX RETROSPOT \n22668\tPINK BABY BUNTING\n22669\tRED BABY BUNTING \n23190\tBUNDLE OF 3 SCHOOL EXERCISE BOOKS \n23191\tBUNDLE OF 3 RETRO NOTE BOOKS\n23191\tBUNDLE OF 3 RETRO EXERCISE BOOKS\n23192\tBUNDLE OF 3 ALPHABET EXERCISE BOOKS\n23193\tBUFFALO BILL TREASURE BOOK BOX\n23194\tGYMKHANNA TREASURE BOOK BOX\n23194\tGYMKHANA TREASURE BOOK BOX\n23196\tLEAVES MAGNETIC SHOPPING LIST\n23196\tRETO LEAVES MAGNETIC SHOPPING LIST\n23196\tVINTAGE LEAF MAGNETIC NOTEPAD\n23196\tRETRO LEAVES MAGNETIC NOTEPAD\n23197\tSKETCHBOOK MAGNETIC SHOPPING LIST\n23197\tVEGETABLE MAGNETIC SHOPPING LIST\n23198\tPANTRY MAGNETIC SHOPPING LIST\n23199\tJUMBO BAG APPLES\n23200\tmailout \n23200\tJUMBO BAG PEARS\n23201\tJUMBO BAG ALPHABET\n23202\tmailout\n23202\tJUMBO BAG VINTAGE LEAF\n23203\tmailout\n23203\tJUMBO BAG VINTAGE DOILEY \n23203\tJUMBO BAG VINTAGE DOILY \n23203\tJUMBO BAG DOILEY PATTERNS\n23204\tCHARLOTTE BAG APPLES DESIGN\n23205\tCHARLOTTE BAG ALPHABET DESIGN\n23205\tCHARLOTTE BAG VINTAGE ALPHABET \n23206\tLUNCH BAG APPLE DESIGN\n23207\tLUNCH BAG ALPHABET DESIGN\n23208\tLUNCH BAG VINTAGE LEAF DESIGN\n23209\tLUNCH BAG VINTAGE DOILEY \n23209\tLUNCH BAG VINTAGE DOILY \n23209\tmailout\n23209\tLUNCH BAG DOILEY PATTERN \n","comment":"","msgTable":[[{"key":"description","value":"20723"},{"key":"description","value":"STRAWBERRY CHARLOTTE BAG"}],[{"value":"20724"},{"value":"RED RETROSPOT CHARLOTTE BAG"}],[{"value":"20725"},{"value":"LUNCH BAG RED RETROSPOT"}],[{"value":"20725"},{"value":"LUNCH BAG RED SPOTTY"}],[{"value":"20726"},{"value":"LUNCH BAG WOODLAND"}],[{"value":"20727"},{"value":"LUNCH BAG BLACK 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AM","status":"FINISHED","progressUpdateIntervalMs":500,"$$hashKey":"object:2320"},{"config":{"colWidth":12,"graph":{"mode":"table","height":300,"optionOpen":false,"keys":[],"values":[],"groups":[],"scatter":{}},"enabled":true,"editorMode":"ace/mode/scala"},"settings":{"params":{},"forms":{}},"jobName":"paragraph_1471395505618_-1305457161","id":"20160817-005825_908212679","dateCreated":"Aug 17, 2016 12:58:25 AM","status":"READY","progressUpdateIntervalMs":500,"$$hashKey":"object:2321"}],"name":"Market Basket Analysis","id":"2BTRF2V6S","angularObjects":{"2BR4ZSYWD":[],"2BRP6ZZHX":[],"2BMYFK5EX":[],"2BPM2N93B":[],"2BPFXA4YV":[],"2BNJ38DJS":[],"2BNYFFPTP":[],"2BR3833T7":[],"2BQY6MBY2":[],"2BNCW21HA":[],"2BNSB431Y":[],"2BP6GZNAT":[],"2BQHZ6CH3":[]},"config":{"looknfeel":"default"},"info":{}}