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| {"beaker":"2","evaluators":[{"name":"Html","plugin":"Html","view":{"cm":{"mode":"htmlmixed"}},"shellID":null},{"name":"Latex","plugin":"Latex","view":{"cm":{"mode":"stex"}},"shellID":null},{"name":"IPython","plugin":"IPython","imports":"","supplementalClassPath":"","view":{"cm":{"mode":"python"}},"shellID":"E7F3B1D611CF41ACBBCE083EFE645771"},{"name":"JavaScript","plugin":"JavaScript","jsSetting2":"","jsSetting1":"","view":{"cm":{"mode":"javascript","background":"#FFE0F0"}},"shellID":null},{"name":"R","plugin":"R","view":{"cm":{"mode":"r"}},"shellID":"f365977a-6a16-4c64-ba99-92d2d07e45c9"}],"cells":[{"id":"section001","type":"section","level":1,"title":"NYC Parking Ticket Exploration","collapsed":false,"evaluatorReader":false},{"id":"textR4qnbx","type":"text","body":"<div>This notebook was created by Ben Wellington, adapted from a blog post on IQuantNY, www.iquantny.com</div>You need ticket data: https://data.cityofnewyork.us/City-Government/Parking-Violations-Issued-Fiscal-Year-2014-August-/jt7v-77mi?","evaluatorReader":false},{"id":"textTFTAXk","type":"text","body":"This notebook provides an exploration of NYC Parking Ticket data, using basic statistics. The language of choice for this notebook is IPython, using the pandas library.","evaluatorReader":false},{"id":"code001","type":"code","evaluator":"IPython","input":{"body":"#Import the Parking Ticket Data\n\nfrom pandas import *\nfrom numpy import *\noptions.display.max_columns = 100\n\ndata = pandas.io.parsers.read_csv(\"/Users/beakertesting/Documents/Beaker Notebooks/Parking_Violations_Issued.csv\",quotechar='\"')\ndata\n "},"output":{"selectedType":"Table","result":{"type":"TableDisplay","tableDisplayModel":{"columnNames":["","Summons Number","Plate ID","Registration State","Plate Type","Issue Date","Violation Code","Vehicle Body Type","Vehicle Make","Issuing Agency","Street Code1","Street Code2","Street Code3","Vehicle Expiration Date","Violation Location","Violation Precinct","Issuer Precinct","Issuer Code","Issuer Command","Issuer Squad","Violation Time","Time First Observed","Violation County","Violation In Front Of Or Opposite","House Number","Street Name","Intersecting 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This is obtained by grouping the data by Registration State and counting the number of entries for each state. Since each ticket has a summons number, counting the number of Summons Numbers gives us the number of tickets. Finally, we sort on ticket counts.","evaluatorReader":false},{"id":"codeeiEWBO","type":"code","evaluator":"IPython","input":{"body":"x = data.groupby(\"Registration State\").count().sort(\"Summons Number\",ascending=0)[\"Summons Number\"]\nx"},"output":{"result":{"type":"BeakerDisplay","innertype":"Html","object":"<div class=\"out_prompt_overlay prompt\" title=\"click to expand output; double click to hide output\" style=\"display: none;\"></div><div class=\"output vbox\" style=\"display: none;\"></div><div class=\"btn output_collapsed\" title=\"click to expand output\" style=\"display: none;\">. . .</div><div class=\"output_subarea output_text\"><pre>Registration State\nNY 4218169\nNJ 531745\nPA 136792\nCT 84059\nFL 68531\nMA 48219\nVA 37432\nMD 31213\nNC 29039\n99 25342\nIN 24776\nIL 19080\nGA 19058\nAZ 14898\nTX 14514\n...\nND 229\nHI 223\nBC 223\nWY 193\nNS 176\nAB 159\nPR 132\nNB 87\nMX 67\nPE 41\nSK 19\nMB 13\nYT 9\nFO 6\nNT 6\nName: Summons Number, Length: 68, dtype: int64</pre></div>"},"outputArrived":true,"selectedType":"BeakerDisplay","elapsedTime":34970,"state":{}},"evaluatorReader":true,"lineCount":2},{"id":"textUFBHtT","type":"text","body":"We can see that most tickets are given to cars from NY. But interestingly, FL is 5th on the list. <div><span style=\"font-size: 14px;\"><br></span></div><div><span style=\"font-size: 14px;\">Now let's see which precinct gives the most tickets for parking near hydrants. </span></div><div><span style=\"font-size: 14px;\">Each ticket is marked with a Violation Code, where Code # 40 represents parking too close to a fire hydrant. Violation Codes are available on line at </span>https://nycopendata.socrata.com/Transportation/DOF-Parking-Violation-Codes/ncbg-6agr</div><div><br></div><div><span style=\"font-size: 14px;\">This analysis is accomplished similarly to the above analysis by grouping by Violation Precinct, counting the number of Violation Codes and sorting.</span><br></div>","evaluatorReader":false},{"id":"code8bzGnm","type":"code","evaluator":"IPython","input":{"body":"z = data[data[\"Violation Code\"]==40].groupby(\"Violation Precinct\").count().sort(\"Violation Code\",ascending=0)[\"Violation Code\"]\n\nz"},"output":{"result":{"type":"BeakerDisplay","innertype":"Html","object":"<div class=\"out_prompt_overlay prompt\" title=\"click to expand output; double click to hide output\" style=\"display: none;\"></div><div class=\"output vbox\" style=\"display: none;\"></div><div class=\"btn output_collapsed\" title=\"click to expand output\" style=\"display: none;\">. . .</div><div class=\"output_subarea output_text\"><pre>Violation Precinct\n19 17240\n34 8212\n114 7598\n20 7250\n24 7048\n109 6426\n33 6343\n52 6132\n104 5978\n84 5859\n66 5698\n18 5484\n70 5160\n115 5012\n68 4983\n...\n57 1\n54 1\n124 1\n127 1\n141 1\n142 1\n143 1\n144 1\n160 1\n39 1\n163 1\n168 1\n169 1\n192 1\n940 1\nName: Violation Code, Length: 154, dtype: int64</pre></div>"},"outputArrived":true,"selectedType":"BeakerDisplay","elapsedTime":4809,"state":{}},"evaluatorReader":true,"lineCount":3},{"id":"textYIpoAM","type":"text","body":"Looks like the 19th precinct, on the upper west side of Manhattan is quite the outlier. <div><br></div><div>Moving on, we can now take a look at which cars block hydrants most often.</div>","evaluatorReader":false},{"id":"codeo1W4nc","type":"code","evaluator":"IPython","input":{"body":"z = data[data[\"Violation Code\"]==40].groupby(\"Plate ID\").count().sort(\"Plate ID\",ascending=0)[\"Plate ID\"]\n\nz"},"output":{"result":{"type":"BeakerDisplay","innertype":"Html","object":"<div class=\"out_prompt_overlay prompt\" title=\"click to expand output; double click to hide output\" style=\"display: none;\"></div><div class=\"output vbox\" style=\"display: none;\"></div><div class=\"btn output_collapsed\" title=\"click to expand output\" style=\"display: none;\">. . .</div><div class=\"output_subarea output_text\"><pre>Plate ID\nBLANKPLATE 280\n62037JM 95\n92708JU 90\n63545JM 72\n42427JM 67\n75225JW 65\n75142MB 64\n62971JM 63\n42848JM 58\n75140MB 58\n42900JM 57\n62424JM 55\n12349JB 53\n86008JV 52\n42930JM 51\n...\nGAY4078 1\nGAX9513 1\nGAX8784 1\nGAX7706 1\nGAX4952 1\nGAX5980 1\nGAX5621 1\nGAX5564 1\nGAX5543 1\nGAX5504 1\nGAX5472 1\nGAX5470 1\nGAX5044 1\nGAX4963 1\n00 1\nName: Plate ID, Length: 214542, dtype: int64</pre></div>"},"outputArrived":true,"selectedType":"BeakerDisplay","elapsedTime":194402,"state":{}},"evaluatorReader":true,"lineCount":3},{"id":"textEGFhkj","type":"text","body":"Wow. One car has blocked a hydrant 95 times (not counting the BLANKPLATE). Impressive. Let's get more details on the tickets for that plate. ","evaluatorReader":false},{"id":"codejbUsBR","type":"code","evaluator":"IPython","input":{"body":"z = data[(data[\"Violation Code\"]==40) & (data[\"Plate ID\"]==\"62037JM\")]\nz"},"output":{"result":{"type":"TableDisplay","tableDisplayModel":{"columnNames":["","Summons Number","Plate ID","Registration State","Plate Type","Issue Date","Violation Code","Vehicle Body Type","Vehicle Make","Issuing Agency","Street Code1","Street Code2","Street Code3","Vehicle Expiration Date","Violation Location","Violation Precinct","Issuer Precinct","Issuer Code","Issuer Command","Issuer Squad","Violation Time","Time First Observed","Violation County","Violation In Front Of Or Opposite","House Number","Street Name","Intersecting Street","Date First Observed","Law Section","Sub Division","Violation Legal Code","Days Parking In Effect ","From Hours In Effect","To Hours In Effect","Vehicle Color","Unregistered Vehicle?","Vehicle Year","Meter Number","Feet From Curb","Violation Post Code","Violation 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Who knows.<div><br></div><div>What about the Vehicle Color distribution? </div>","evaluatorReader":false},{"id":"codeyg0wsI","type":"code","evaluator":"IPython","input":{"body":"x = data.groupby(\"Vehicle Color\").count().sort(\"Summons Number\",ascending=0)[\"Summons Number\"]\nx"},"output":{"result":{"type":"BeakerDisplay","innertype":"Html","object":"<div class=\"out_prompt_overlay prompt\" title=\"click to expand output; double click to hide output\" style=\"display: none;\"></div><div class=\"output vbox\" style=\"display: none;\"></div><div class=\"btn output_collapsed\" title=\"click to expand output\" style=\"display: none;\">. . .</div><div class=\"output_subarea output_text\"><pre>Vehicle Color\nWHITE 795854\nGY 729815\nWH 702691\nBK 566260\nBLACK 404098\nBL 266616\nGREY 254346\nSILVE 192416\nBLUE 180966\nRD 164900\nRED 163253\nBROWN 154433\nGR 121818\nGREEN 90718\nTN 81196\n...\nLNIR 1\nLRN 1\nLT-GL 1\nLT-GN 1\nLT-WH 1\nLT. B 1\nLT.BL 1\nLT.GR 1\nLTBK 1\nLTBRO 1\nLTRD 1\nLTWH 1\nLWH 1\nLX 1\n,.A 1\nName: Summons Number, Length: 2323, dtype: int64</pre></div>"},"outputArrived":true,"selectedType":"BeakerDisplay","elapsedTime":32038,"state":{}},"evaluatorReader":true,"lineCount":2},{"id":"textJ0lvD3","type":"text","body":"White Grey and Back are pretty popular.","evaluatorReader":false},{"id":"textShFtd1","type":"text","body":"Finally, lets take a look as some histogram plots of the distribution of tickets over the course of each hour and over the course of each day. First we'll display the data in tabular form, showing the number of tickets given for each minute of the hour.","evaluatorReader":false},{"id":"code5Y1sNW","type":"code","evaluator":"IPython","input":{"body":"table = data\n\ntable['minute'] = table['Violation Time'].apply(lambda x: str(x)[2:4])\nx = data.groupby(\"minute\").count().sort()[\"Summons Number\"]\nx\n"},"output":{"result":{"type":"BeakerDisplay","innertype":"Html","object":"<div class=\"out_prompt_overlay prompt\" title=\"click to expand output; double click to hide output\" style=\"display: none;\"></div><div class=\"output vbox\" style=\"display: none;\"></div><div class=\"btn output_collapsed\" title=\"click to expand output\" style=\"display: none;\">. . .</div><div class=\"output_subarea output_text\"><pre>minute\n+1 1\n+4 1\n.3 1\n0* 1\n00 103966\n01 78111\n02 78792\n03 78692\n04 77029\n05 93778\n06 112698\n07 103585\n08 101365\n09 98543\n1. 1\n...\n48 88962\n49 86415\n5+ 1\n5. 1\n50 105999\n51 84883\n52 85357\n53 83957\n54 81218\n55 96329\n56 79306\n57 79280\n58 79317\n59 74852\nn 1417\nName: Summons Number, Length: 74, dtype: int64</pre></div>"},"outputArrived":true,"selectedType":"BeakerDisplay","elapsedTime":51448,"state":{}},"evaluatorReader":true,"lineCount":6},{"id":"text73qF9o","type":"text","body":"There is some noisey data, but when we graph this below we can see an interesting pattern of spikes dispersed along approximately five minute intervals.","evaluatorReader":false},{"id":"codeV0CQHd","type":"code","evaluator":"IPython","input":{"body":"data[\"time\"]=to_datetime((data[\"Issue Date\"]+ ' '+data[\"Violation Time\"]+\"M\").str.replace(\" 00\",\" 12\"),format=\"%m/%d/%Y %I%M%p\", coerce=True)\ndata.index = data[\"time\"]\nx = data\nx[\"WeekDay\"] = x.index.weekday\nx[\"Hour\"]= x.index.hour\nx[\"Minute\"]= x.index.minute\ndata2 = x\n"},"output":{"result":"","selectedType":"BeakerDisplay","outputArrived":false,"elapsedTime":245223,"state":{}},"evaluatorReader":true,"lineCount":8},{"id":"codelzBd4W","type":"code","evaluator":"IPython","input":{"body":"x = data2['Minute'].hist(bins=60,range=(0,60))\nx.set_xlabel(\"Minute of Hour\") \nx.set_ylabel(\"Count\") \nx.set_title(\"Minute of Hour for Tickets Given\")\nshow()\n"},"output":{"state":{},"result":{"type":"BeakerDisplay","innertype":"Html","object":"<div class=\"out_prompt_overlay prompt\" title=\"click to expand output; double click to hide output\" style=\"display: none;\"></div><div class=\"output vbox\" style=\"display: none;\"></div><div class=\"btn output_collapsed\" title=\"click to expand output\" style=\"display: none;\">. . .</div><div class=\"output_subarea output_png\"><img 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A4Ozvj3XffVeayv/vu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\nTkSuQmCC\n\"></div>"},"selectedType":"BeakerDisplay","outputArrived":true,"elapsedTime":10098},"evaluatorReader":true,"lineCount":6},{"id":"text3Xk5bw","type":"text","body":"Finally, we plot the hourly distribution of tickets to see at what times during the day the most tickets are handed out.","evaluatorReader":false},{"id":"codez1rt8k","type":"code","evaluator":"IPython","input":{"body":"x = data2['Hour'].hist(bins=60,range=(0,60))\nx.set_xlabel(\"Hour of Day\") \nx.set_ylabel(\"Count\") \nx.set_title(\"Hour of Day for Tickets Given\")\nshow()\n"},"output":{"state":{},"result":{"type":"BeakerDisplay","innertype":"Html","object":"<div class=\"out_prompt_overlay prompt\" title=\"click to expand output; double click to hide output\" style=\"display: none;\"></div><div class=\"output vbox\" style=\"display: none;\"></div><div class=\"btn output_collapsed\" title=\"click to expand output\" style=\"display: none;\">. . .</div><div class=\"output_subarea output_png\"><img 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TkyZOVBwSmpKQoN7hN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|
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