{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Lab 3: groupby and more (Seaborn) plots\n", "\n", "This lab explores the FBI NICS Firearms Background Check data, which records the number of background check made. A background check must be made prior to *some* sales of firearms (a big exception is private sales.) This data is often used as the best approximation of total gun sales at a given time.\n", "\n", "BuzzFeed converts the PDF data supplied by the FBI to CSV files.\n", "\n", "For more information on the dataset: [https://github.com/BuzzFeedNews/nics-firearm-background-checks](https://github.com/BuzzFeedNews/nics-firearm-background-checks)\n", "\n", "For a direct link to the dataset (current as of July 2019): [https://raw.githubusercontent.com/BuzzFeedNews/nics-firearm-background-checks/master/data/nics-firearm-background-checks.csv](https://raw.githubusercontent.com/BuzzFeedNews/nics-firearm-background-checks/master/data/nics-firearm-background-checks.csv)" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import matplotlib\n", "import matplotlib.pyplot as plt\n", "import pandas as pd\n", "import seaborn as sns\n", "%matplotlib inline\n", "\n", "pd.set_option('display.max_columns', None)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Read the CSV file into a dataframe called `guns`, and display the dataframe to make sure it was loaded correctly." ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "scrolled": true }, "outputs": [], "source": [ "guns = pd.read_csv(\"nics-firearm-background-checks.csv\")" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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02019-07Alabama33116.0865.08711.05851.0410.03530.019.014.01.01525.0854.04.00.00.00.00.00.020.09.04.00.01.00.051757
12019-07Alaska167.024.02172.02139.0247.01510.00.00.00.0173.0147.01.026.022.00.00.00.011.015.02.01.00.00.05298
22019-07Arizona5181.0489.011005.05995.01203.06510.018.03.02.01137.0485.04.0113.09.00.00.00.013.012.05.00.00.00.026325
32019-07Arkansas2687.0645.04049.03487.0289.03055.08.017.01.01097.01077.03.00.00.00.00.00.05.08.01.00.00.00.013684
42019-07California27930.00.030400.020830.03485.006259.00.00.00.0382.0242.04.00.00.00.00.00.00.00.00.00.00.00.089532
52019-07Colorado6156.00.015550.09601.01238.09161.00.00.00.00.00.00.0292.057.01.00.00.00.00.00.00.00.00.033812
62019-07Connecticut6838.0477.04235.01403.0409.000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.013362
72019-07Delaware227.00.01410.0936.0107.0650.02.03.00.012.09.00.041.00.03.00.00.040.012.03.02.01.00.02873
82019-07District of Columbia250.00.0105.04.00.030.00.00.00.00.00.00.00.00.013.00.00.00.00.00.00.00.00.0375
92019-07Florida14674.00.043914.013570.03307.019683.027.010.00.03953.01027.012.01006.0116.06.00.00.0212.0108.029.043.039.00.084024
102019-07Georgia16348.00.09663.05261.0476.03940.022.07.01.01663.0917.05.02.02.00.00.00.019.06.01.00.00.00.034787
112019-07Guam0.00.0121.057.014.080.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0200
122019-07Hawaii1040.00.00.00.00.000.00.00.00.00.00.00.02.03.00.00.00.00.00.00.00.00.00.01045
132019-07Idaho11449.00.03504.03341.0311.01790.08.09.01.0364.0401.00.042.09.06.00.00.04.08.00.00.01.00.019637
142019-07Illinois10764.0405293.015782.06889.00.07300.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0439458
152019-07Indiana534.036096.013982.07568.01225.058326.08.06.01.0609.0359.022.024.02.01.00.00.050.035.06.00.02.00.061139
162019-07Iowa3935.06072.0113.01264.029.040.00.01.00.02.041.00.032.010.00.00.00.01.03.00.00.00.00.011507
172019-07Kansas1635.03.04255.03203.0417.02600.011.01.01.0548.0246.06.041.014.02.00.00.09.06.03.00.01.00.010662
182019-07Kentucky1627.0301200.08059.04658.0370.04510.034.014.01.01680.01115.01.017.014.00.00.00.021.07.00.00.01.00.0319270
192019-07Louisiana1781.0119.07646.05110.0624.03990.07.04.01.01066.0597.06.01.00.00.00.00.013.07.01.02.01.00.017385
202019-07Maine412.03.02322.02161.0190.01352.00.01.00.080.096.01.022.06.00.00.00.02.03.00.01.00.00.05437
212019-07Mariana Islands0.00.05.08.00.000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.013
222019-07Maryland3248.017.03082.03162.084.0500.04.03.00.071.092.00.035.014.00.00.00.00.023.00.04.02.00.09891
232019-07Massachusetts9084.00.03711.01886.0387.01327.00.00.01.012.02.00.00.00.00.00.00.019.020.08.03.00.00.015272
242019-07Michigan17643.08.07396.05571.0538.01640.00.00.00.08.0174.00.065.016.01.00.00.011.012.00.00.00.00.031607
252019-07Minnesota7939.019570.06938.06575.0610.02890.04.05.00.0205.0236.03.047.014.03.00.00.06.08.02.00.00.00.042454
262019-07Mississippi1694.00.05769.03476.0313.03020.016.011.01.01474.0829.01.05.01.00.00.00.016.05.02.01.02.00.013918
272019-07Missouri2602.00.014131.010224.01249.07870.013.010.01.01434.0819.012.0254.026.04.00.00.038.017.02.03.01.00.031627
282019-07Montana1018.00.02615.03045.0192.020910.05.06.00.0404.0567.01.024.05.03.00.00.03.01.00.00.01.01.08110
292019-07Nebraska2736.077.080.01047.019.010.00.00.00.08.038.00.028.010.00.00.00.00.00.00.00.00.00.04044
....................................................................................
136651998-11Minnesota9.0NaN27.0280.0NaN30.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN319
136661998-11Mississippi0.0NaN286.0491.0NaN70.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN784
136671998-11Missouri0.0NaN116.0458.0NaN40.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN578
136681998-11Montana0.0NaN101.098.0NaN20.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN201
136691998-11Nebraska88.0NaN1.096.0NaN10.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN186
136701998-11Nevada0.0NaN75.076.0NaN80.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN159
136711998-11New Hampshire0.0NaN8.046.0NaN10.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN55
136721998-11New Jersey0.0NaN20.053.0NaN22.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN77
136731998-11New Mexico0.0NaN86.0121.0NaN40.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN211
136741998-11New York0.0NaN40.0279.0NaN00.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN319
136751998-11North Carolina524.0NaN87.0695.0NaN40.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1310
136761998-11North Dakota0.0NaN20.038.0NaN00.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN58
136771998-11Ohio0.0NaN502.0434.0NaN160.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN952
136781998-11Oklahoma0.0NaN259.0361.0NaN130.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN633
136791998-11Oregon0.0NaN153.0186.0NaN50.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN344
136801998-11Pennsylvania0.0NaN5.08.0NaN40.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN17
136811998-11Puerto Rico0.0NaN1.01.0NaN00.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN2
136821998-11Rhode Island0.0NaN13.023.0NaN20.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN38
136831998-11South Carolina0.0NaN0.06.0NaN00.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN6
136841998-11South Dakota0.0NaN8.066.0NaN00.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN74
136851998-11Tennessee0.0NaN19.085.0NaN30.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN107
136861998-11Texas0.0NaN1384.01349.0NaN601.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN2794
136871998-11Utah0.0NaN98.0169.0NaN00.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN267
136881998-11Vermont0.0NaN23.035.0NaN01.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN59
136891998-11Virgin Islands0.0NaN0.00.0NaN00.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0
136901998-11Virginia0.0NaN14.02.0NaN80.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN24
136911998-11Washington1.0NaN65.0286.0NaN81.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN361
136921998-11West Virginia3.0NaN149.0251.0NaN50.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN408
136931998-11Wisconsin0.0NaN25.0214.0NaN20.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN241
136941998-11Wyoming8.0NaN45.049.0NaN50.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN107
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13695 rows × 27 columns

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" ], "text/plain": [ " month state permit permit_recheck handgun \\\n", "0 2019-07 Alabama 33116.0 865.0 8711.0 \n", "1 2019-07 Alaska 167.0 24.0 2172.0 \n", "2 2019-07 Arizona 5181.0 489.0 11005.0 \n", "3 2019-07 Arkansas 2687.0 645.0 4049.0 \n", "4 2019-07 California 27930.0 0.0 30400.0 \n", "5 2019-07 Colorado 6156.0 0.0 15550.0 \n", "6 2019-07 Connecticut 6838.0 477.0 4235.0 \n", "7 2019-07 Delaware 227.0 0.0 1410.0 \n", "8 2019-07 District of Columbia 250.0 0.0 105.0 \n", "9 2019-07 Florida 14674.0 0.0 43914.0 \n", "10 2019-07 Georgia 16348.0 0.0 9663.0 \n", "11 2019-07 Guam 0.0 0.0 121.0 \n", "12 2019-07 Hawaii 1040.0 0.0 0.0 \n", "13 2019-07 Idaho 11449.0 0.0 3504.0 \n", "14 2019-07 Illinois 10764.0 405293.0 15782.0 \n", "15 2019-07 Indiana 534.0 36096.0 13982.0 \n", "16 2019-07 Iowa 3935.0 6072.0 113.0 \n", "17 2019-07 Kansas 1635.0 3.0 4255.0 \n", "18 2019-07 Kentucky 1627.0 301200.0 8059.0 \n", "19 2019-07 Louisiana 1781.0 119.0 7646.0 \n", "20 2019-07 Maine 412.0 3.0 2322.0 \n", "21 2019-07 Mariana Islands 0.0 0.0 5.0 \n", "22 2019-07 Maryland 3248.0 17.0 3082.0 \n", "23 2019-07 Massachusetts 9084.0 0.0 3711.0 \n", "24 2019-07 Michigan 17643.0 8.0 7396.0 \n", "25 2019-07 Minnesota 7939.0 19570.0 6938.0 \n", "26 2019-07 Mississippi 1694.0 0.0 5769.0 \n", "27 2019-07 Missouri 2602.0 0.0 14131.0 \n", "28 2019-07 Montana 1018.0 0.0 2615.0 \n", "29 2019-07 Nebraska 2736.0 77.0 80.0 \n", "... ... ... ... ... ... \n", "13665 1998-11 Minnesota 9.0 NaN 27.0 \n", "13666 1998-11 Mississippi 0.0 NaN 286.0 \n", "13667 1998-11 Missouri 0.0 NaN 116.0 \n", "13668 1998-11 Montana 0.0 NaN 101.0 \n", "13669 1998-11 Nebraska 88.0 NaN 1.0 \n", "13670 1998-11 Nevada 0.0 NaN 75.0 \n", "13671 1998-11 New Hampshire 0.0 NaN 8.0 \n", "13672 1998-11 New Jersey 0.0 NaN 20.0 \n", "13673 1998-11 New Mexico 0.0 NaN 86.0 \n", "13674 1998-11 New York 0.0 NaN 40.0 \n", "13675 1998-11 North Carolina 524.0 NaN 87.0 \n", "13676 1998-11 North Dakota 0.0 NaN 20.0 \n", "13677 1998-11 Ohio 0.0 NaN 502.0 \n", "13678 1998-11 Oklahoma 0.0 NaN 259.0 \n", "13679 1998-11 Oregon 0.0 NaN 153.0 \n", "13680 1998-11 Pennsylvania 0.0 NaN 5.0 \n", "13681 1998-11 Puerto Rico 0.0 NaN 1.0 \n", "13682 1998-11 Rhode Island 0.0 NaN 13.0 \n", "13683 1998-11 South Carolina 0.0 NaN 0.0 \n", "13684 1998-11 South Dakota 0.0 NaN 8.0 \n", "13685 1998-11 Tennessee 0.0 NaN 19.0 \n", "13686 1998-11 Texas 0.0 NaN 1384.0 \n", "13687 1998-11 Utah 0.0 NaN 98.0 \n", "13688 1998-11 Vermont 0.0 NaN 23.0 \n", "13689 1998-11 Virgin Islands 0.0 NaN 0.0 \n", "13690 1998-11 Virginia 0.0 NaN 14.0 \n", "13691 1998-11 Washington 1.0 NaN 65.0 \n", "13692 1998-11 West Virginia 3.0 NaN 149.0 \n", "13693 1998-11 Wisconsin 0.0 NaN 25.0 \n", "13694 1998-11 Wyoming 8.0 NaN 45.0 \n", "\n", " long_gun other multiple admin prepawn_handgun prepawn_long_gun \\\n", "0 5851.0 410.0 353 0.0 19.0 14.0 \n", "1 2139.0 247.0 151 0.0 0.0 0.0 \n", "2 5995.0 1203.0 651 0.0 18.0 3.0 \n", "3 3487.0 289.0 305 5.0 8.0 17.0 \n", "4 20830.0 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0.0 NaN NaN \n", "13694 49.0 NaN 5 0.0 NaN NaN \n", "\n", " prepawn_other redemption_handgun redemption_long_gun \\\n", "0 1.0 1525.0 854.0 \n", "1 0.0 173.0 147.0 \n", "2 2.0 1137.0 485.0 \n", "3 1.0 1097.0 1077.0 \n", "4 0.0 382.0 242.0 \n", "5 0.0 0.0 0.0 \n", "6 0.0 0.0 0.0 \n", "7 0.0 12.0 9.0 \n", "8 0.0 0.0 0.0 \n", "9 0.0 3953.0 1027.0 \n", "10 1.0 1663.0 917.0 \n", "11 0.0 0.0 0.0 \n", "12 0.0 0.0 0.0 \n", "13 1.0 364.0 401.0 \n", "14 0.0 0.0 0.0 \n", "15 1.0 609.0 359.0 \n", "16 0.0 2.0 41.0 \n", "17 1.0 548.0 246.0 \n", "18 1.0 1680.0 1115.0 \n", "19 1.0 1066.0 597.0 \n", "20 0.0 80.0 96.0 \n", "21 0.0 0.0 0.0 \n", "22 0.0 71.0 92.0 \n", "23 1.0 12.0 2.0 \n", "24 0.0 8.0 174.0 \n", "25 0.0 205.0 236.0 \n", "26 1.0 1474.0 829.0 \n", "27 1.0 1434.0 819.0 \n", "28 0.0 404.0 567.0 \n", "29 0.0 8.0 38.0 \n", "... ... ... ... \n", "13665 NaN NaN NaN \n", "13666 NaN NaN NaN \n", "13667 NaN NaN NaN \n", "13668 NaN NaN NaN \n", "13669 NaN NaN NaN \n", "13670 NaN NaN NaN \n", "13671 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6.0 \n", "14 0.0 0.0 0.0 0.0 \n", "15 22.0 24.0 2.0 1.0 \n", "16 0.0 32.0 10.0 0.0 \n", "17 6.0 41.0 14.0 2.0 \n", "18 1.0 17.0 14.0 0.0 \n", "19 6.0 1.0 0.0 0.0 \n", "20 1.0 22.0 6.0 0.0 \n", "21 0.0 0.0 0.0 0.0 \n", "22 0.0 35.0 14.0 0.0 \n", "23 0.0 0.0 0.0 0.0 \n", "24 0.0 65.0 16.0 1.0 \n", "25 3.0 47.0 14.0 3.0 \n", "26 1.0 5.0 1.0 0.0 \n", "27 12.0 254.0 26.0 4.0 \n", "28 1.0 24.0 5.0 3.0 \n", "29 0.0 28.0 10.0 0.0 \n", "... ... ... ... ... \n", "13665 NaN NaN NaN NaN \n", "13666 NaN NaN NaN NaN \n", "13667 NaN NaN NaN NaN \n", "13668 NaN NaN NaN NaN \n", "13669 NaN NaN NaN NaN \n", "13670 NaN NaN NaN NaN \n", "13671 NaN NaN NaN NaN \n", "13672 NaN NaN NaN NaN \n", "13673 NaN NaN NaN NaN \n", "13674 NaN NaN NaN NaN \n", "13675 NaN NaN NaN NaN \n", "13676 NaN NaN NaN NaN \n", "13677 NaN NaN NaN NaN \n", "13678 NaN NaN NaN NaN \n", "13679 NaN NaN NaN NaN \n", "13680 NaN NaN NaN NaN \n", "13681 NaN NaN NaN NaN \n", "13682 NaN NaN NaN NaN \n", "13683 NaN NaN NaN NaN \n", "13684 NaN NaN NaN NaN \n", "13685 NaN NaN NaN NaN \n", "13686 NaN NaN NaN NaN \n", "13687 NaN NaN NaN NaN \n", "13688 NaN NaN NaN NaN \n", "13689 NaN NaN NaN NaN \n", "13690 NaN NaN NaN NaN \n", "13691 NaN NaN NaN NaN \n", "13692 NaN NaN NaN NaN \n", "13693 NaN NaN NaN NaN \n", "13694 NaN NaN NaN NaN \n", "\n", " rentals_handgun rentals_long_gun private_sale_handgun \\\n", "0 0.0 0.0 20.0 \n", "1 0.0 0.0 11.0 \n", "2 0.0 0.0 13.0 \n", "3 0.0 0.0 5.0 \n", "4 0.0 0.0 0.0 \n", "5 0.0 0.0 0.0 \n", "6 0.0 0.0 0.0 \n", "7 0.0 0.0 40.0 \n", "8 0.0 0.0 0.0 \n", "9 0.0 0.0 212.0 \n", "10 0.0 0.0 19.0 \n", "11 0.0 0.0 0.0 \n", "12 0.0 0.0 0.0 \n", "13 0.0 0.0 4.0 \n", "14 0.0 0.0 0.0 \n", "15 0.0 0.0 50.0 \n", "16 0.0 0.0 1.0 \n", "17 0.0 0.0 9.0 \n", "18 0.0 0.0 21.0 \n", "19 0.0 0.0 13.0 \n", "20 0.0 0.0 2.0 \n", "21 0.0 0.0 0.0 \n", "22 0.0 0.0 0.0 \n", "23 0.0 0.0 19.0 \n", "24 0.0 0.0 11.0 \n", "25 0.0 0.0 6.0 \n", "26 0.0 0.0 16.0 \n", "27 0.0 0.0 38.0 \n", "28 0.0 0.0 3.0 \n", "29 0.0 0.0 0.0 \n", "... ... ... ... \n", "13665 NaN NaN NaN \n", "13666 NaN NaN NaN \n", "13667 NaN NaN NaN \n", "13668 NaN NaN NaN \n", "13669 NaN NaN NaN \n", "13670 NaN NaN NaN \n", "13671 NaN NaN NaN \n", "13672 NaN NaN NaN \n", "13673 NaN NaN NaN \n", "13674 NaN NaN NaN \n", "13675 NaN NaN NaN \n", "13676 NaN NaN NaN \n", "13677 NaN NaN NaN \n", "13678 NaN NaN NaN \n", "13679 NaN NaN NaN \n", "13680 NaN NaN NaN \n", "13681 NaN NaN NaN \n", "13682 NaN NaN NaN \n", "13683 NaN NaN NaN \n", "13684 NaN NaN NaN \n", "13685 NaN NaN NaN \n", "13686 NaN NaN NaN \n", "13687 NaN NaN NaN \n", "13688 NaN NaN NaN \n", "13689 NaN NaN NaN \n", "13690 NaN NaN NaN \n", "13691 NaN NaN NaN \n", "13692 NaN NaN NaN \n", "13693 NaN NaN NaN \n", "13694 NaN NaN NaN \n", "\n", " private_sale_long_gun private_sale_other return_to_seller_handgun \\\n", "0 9.0 4.0 0.0 \n", "1 15.0 2.0 1.0 \n", "2 12.0 5.0 0.0 \n", "3 8.0 1.0 0.0 \n", "4 0.0 0.0 0.0 \n", "5 0.0 0.0 0.0 \n", "6 0.0 0.0 0.0 \n", "7 12.0 3.0 2.0 \n", "8 0.0 0.0 0.0 \n", "9 108.0 29.0 43.0 \n", "10 6.0 1.0 0.0 \n", "11 0.0 0.0 0.0 \n", "12 0.0 0.0 0.0 \n", "13 8.0 0.0 0.0 \n", "14 0.0 0.0 0.0 \n", "15 35.0 6.0 0.0 \n", "16 3.0 0.0 0.0 \n", "17 6.0 3.0 0.0 \n", "18 7.0 0.0 0.0 \n", "19 7.0 1.0 2.0 \n", "20 3.0 0.0 1.0 \n", "21 0.0 0.0 0.0 \n", "22 23.0 0.0 4.0 \n", "23 20.0 8.0 3.0 \n", "24 12.0 0.0 0.0 \n", "25 8.0 2.0 0.0 \n", "26 5.0 2.0 1.0 \n", "27 17.0 2.0 3.0 \n", "28 1.0 0.0 0.0 \n", "29 0.0 0.0 0.0 \n", "... ... ... ... \n", "13665 NaN NaN NaN \n", "13666 NaN NaN NaN \n", "13667 NaN NaN NaN \n", "13668 NaN NaN NaN \n", "13669 NaN NaN NaN \n", "13670 NaN NaN NaN \n", "13671 NaN NaN NaN \n", "13672 NaN NaN NaN \n", "13673 NaN NaN NaN \n", "13674 NaN NaN NaN \n", "13675 NaN NaN NaN \n", "13676 NaN NaN NaN \n", "13677 NaN NaN NaN \n", "13678 NaN NaN NaN \n", "13679 NaN NaN NaN \n", "13680 NaN NaN NaN \n", "13681 NaN NaN NaN \n", "13682 NaN NaN NaN \n", "13683 NaN NaN NaN \n", "13684 NaN NaN NaN \n", "13685 NaN NaN NaN \n", "13686 NaN NaN NaN \n", "13687 NaN NaN NaN \n", "13688 NaN NaN NaN \n", "13689 NaN NaN NaN \n", "13690 NaN NaN NaN \n", "13691 NaN NaN NaN \n", "13692 NaN NaN NaN \n", "13693 NaN NaN NaN \n", "13694 NaN NaN NaN \n", "\n", " return_to_seller_long_gun return_to_seller_other totals \n", "0 1.0 0.0 51757 \n", "1 0.0 0.0 5298 \n", "2 0.0 0.0 26325 \n", "3 0.0 0.0 13684 \n", "4 0.0 0.0 89532 \n", "5 0.0 0.0 33812 \n", "6 0.0 0.0 13362 \n", "7 1.0 0.0 2873 \n", "8 0.0 0.0 375 \n", "9 39.0 0.0 84024 \n", "10 0.0 0.0 34787 \n", "11 0.0 0.0 200 \n", "12 0.0 0.0 1045 \n", "13 1.0 0.0 19637 \n", "14 0.0 0.0 439458 \n", "15 2.0 0.0 61139 \n", "16 0.0 0.0 11507 \n", "17 1.0 0.0 10662 \n", "18 1.0 0.0 319270 \n", "19 1.0 0.0 17385 \n", "20 0.0 0.0 5437 \n", "21 0.0 0.0 13 \n", "22 2.0 0.0 9891 \n", "23 0.0 0.0 15272 \n", "24 0.0 0.0 31607 \n", "25 0.0 0.0 42454 \n", "26 2.0 0.0 13918 \n", "27 1.0 0.0 31627 \n", "28 1.0 1.0 8110 \n", "29 0.0 0.0 4044 \n", "... ... ... ... \n", "13665 NaN NaN 319 \n", "13666 NaN NaN 784 \n", "13667 NaN NaN 578 \n", "13668 NaN NaN 201 \n", "13669 NaN NaN 186 \n", "13670 NaN NaN 159 \n", "13671 NaN NaN 55 \n", "13672 NaN NaN 77 \n", "13673 NaN NaN 211 \n", "13674 NaN NaN 319 \n", "13675 NaN NaN 1310 \n", "13676 NaN NaN 58 \n", "13677 NaN NaN 952 \n", "13678 NaN NaN 633 \n", "13679 NaN NaN 344 \n", "13680 NaN NaN 17 \n", "13681 NaN NaN 2 \n", "13682 NaN NaN 38 \n", "13683 NaN NaN 6 \n", "13684 NaN NaN 74 \n", "13685 NaN NaN 107 \n", "13686 NaN NaN 2794 \n", "13687 NaN NaN 267 \n", "13688 NaN NaN 59 \n", "13689 NaN NaN 0 \n", "13690 NaN NaN 24 \n", "13691 NaN NaN 361 \n", "13692 NaN NaN 408 \n", "13693 NaN NaN 241 \n", "13694 NaN NaN 107 \n", "\n", "[13695 rows x 27 columns]" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "guns" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Make the `month` column into a `datetime` object." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "guns[\"month\"] = pd.to_datetime(guns[\"month\"])" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "There was no day in the original `month` column. What happens to the day once we convert this column into a `datetime` object?" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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monthstatepermitpermit_recheckhandgunlong_gunothermultipleadminprepawn_handgunprepawn_long_gunprepawn_otherredemption_handgunredemption_long_gunredemption_otherreturned_handgunreturned_long_gunreturned_otherrentals_handgunrentals_long_gunprivate_sale_handgunprivate_sale_long_gunprivate_sale_otherreturn_to_seller_handgunreturn_to_seller_long_gunreturn_to_seller_othertotals
02019-07-01Alabama33116.0865.08711.05851.0410.03530.019.014.01.01525.0854.04.00.00.00.00.00.020.09.04.00.01.00.051757
12019-07-01Alaska167.024.02172.02139.0247.01510.00.00.00.0173.0147.01.026.022.00.00.00.011.015.02.01.00.00.05298
22019-07-01Arizona5181.0489.011005.05995.01203.06510.018.03.02.01137.0485.04.0113.09.00.00.00.013.012.05.00.00.00.026325
32019-07-01Arkansas2687.0645.04049.03487.0289.03055.08.017.01.01097.01077.03.00.00.00.00.00.05.08.01.00.00.00.013684
42019-07-01California27930.00.030400.020830.03485.006259.00.00.00.0382.0242.04.00.00.00.00.00.00.00.00.00.00.00.089532
\n", "
" ], "text/plain": [ " month state permit permit_recheck handgun long_gun other \\\n", "0 2019-07-01 Alabama 33116.0 865.0 8711.0 5851.0 410.0 \n", "1 2019-07-01 Alaska 167.0 24.0 2172.0 2139.0 247.0 \n", "2 2019-07-01 Arizona 5181.0 489.0 11005.0 5995.0 1203.0 \n", "3 2019-07-01 Arkansas 2687.0 645.0 4049.0 3487.0 289.0 \n", "4 2019-07-01 California 27930.0 0.0 30400.0 20830.0 3485.0 \n", "\n", " multiple admin prepawn_handgun prepawn_long_gun prepawn_other \\\n", "0 353 0.0 19.0 14.0 1.0 \n", "1 151 0.0 0.0 0.0 0.0 \n", "2 651 0.0 18.0 3.0 2.0 \n", "3 305 5.0 8.0 17.0 1.0 \n", "4 0 6259.0 0.0 0.0 0.0 \n", "\n", " redemption_handgun redemption_long_gun redemption_other \\\n", "0 1525.0 854.0 4.0 \n", "1 173.0 147.0 1.0 \n", "2 1137.0 485.0 4.0 \n", "3 1097.0 1077.0 3.0 \n", "4 382.0 242.0 4.0 \n", "\n", " returned_handgun returned_long_gun returned_other rentals_handgun \\\n", "0 0.0 0.0 0.0 0.0 \n", "1 26.0 22.0 0.0 0.0 \n", "2 113.0 9.0 0.0 0.0 \n", "3 0.0 0.0 0.0 0.0 \n", "4 0.0 0.0 0.0 0.0 \n", "\n", " rentals_long_gun private_sale_handgun private_sale_long_gun \\\n", "0 0.0 20.0 9.0 \n", "1 0.0 11.0 15.0 \n", "2 0.0 13.0 12.0 \n", "3 0.0 5.0 8.0 \n", "4 0.0 0.0 0.0 \n", "\n", " private_sale_other return_to_seller_handgun return_to_seller_long_gun \\\n", "0 4.0 0.0 1.0 \n", "1 2.0 1.0 0.0 \n", "2 5.0 0.0 0.0 \n", "3 1.0 0.0 0.0 \n", "4 0.0 0.0 0.0 \n", "\n", " return_to_seller_other totals \n", "0 0.0 51757 \n", "1 0.0 5298 \n", "2 0.0 26325 \n", "3 0.0 13684 \n", "4 0.0 89532 " ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "guns.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To get a feel for the data, plot the number of handgun background checks (the `handgun` column) made in New York on the y axis and the date on the x axis." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "ny_filter = guns[\"state\"] == \"New York\"\n", "ny_guns = guns[ny_filter]" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ny_guns.plot(x = \"month\", y = \"handgun\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "What do you notice about the plot?\n", "\n", "What was the mean number of handgun background checks? " ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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permitpermit_recheckhandgunlong_gunothermultipleadminprepawn_handgunprepawn_long_gunprepawn_otherredemption_handgunredemption_long_gunredemption_otherreturned_handgunreturned_long_gunreturned_otherrentals_handgunrentals_long_gunprivate_sale_handgunprivate_sale_long_gunprivate_sale_otherreturn_to_seller_handgunreturn_to_seller_long_gunreturn_to_seller_othertotals
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mean3496.8072291327.2380954762.93975912132.277108718.35245992.18875554.5301209.2149530.4065420.3391309.06074815.2149531.93043511.87096824.2459020.4545452.7750004.108108281.319444211.43055615.2777786.7164187.1666670.71428621305.771084
std1542.922108858.0109963742.9667285066.567521456.26121584.22445497.72682526.5816230.8437310.73612317.81994111.2508972.97864313.25473525.8480530.7408252.5062742.558035116.38532799.77422810.7693124.0256983.9929521.0068898656.293320
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" ], "text/plain": [ " permit permit_recheck handgun long_gun other \\\n", "count 249.000000 42.000000 249.000000 249.000000 122.000000 \n", "mean 3496.807229 1327.238095 4762.939759 12132.277108 718.352459 \n", "std 1542.922108 858.010996 3742.966728 5066.567521 456.261215 \n", "min 0.000000 0.000000 40.000000 279.000000 15.000000 \n", "25% 2744.000000 1059.000000 892.000000 8127.000000 372.750000 \n", "50% 3191.000000 1423.500000 4197.000000 11566.000000 562.500000 \n", "75% 3949.000000 1919.500000 8008.000000 15134.000000 1038.000000 \n", "max 19290.000000 2861.000000 15179.000000 34876.000000 2533.000000 \n", "\n", " multiple admin prepawn_handgun prepawn_long_gun \\\n", "count 249.000000 249.000000 214.000000 214.000000 \n", "mean 92.188755 54.530120 9.214953 0.406542 \n", "std 84.224454 97.726825 26.581623 0.843731 \n", "min 0.000000 0.000000 0.000000 0.000000 \n", "25% 14.000000 0.000000 0.000000 0.000000 \n", "50% 69.000000 13.000000 0.000000 0.000000 \n", "75% 153.000000 59.000000 1.000000 0.000000 \n", "max 389.000000 607.000000 164.000000 5.000000 \n", "\n", " prepawn_other redemption_handgun redemption_long_gun \\\n", "count 115.000000 214.000000 214.000000 \n", "mean 0.339130 9.060748 15.214953 \n", "std 0.736123 17.819941 11.250897 \n", "min 0.000000 0.000000 0.000000 \n", "25% 0.000000 0.000000 8.000000 \n", "50% 0.000000 0.000000 12.000000 \n", "75% 0.000000 10.000000 19.000000 \n", "max 3.000000 85.000000 54.000000 \n", "\n", " redemption_other returned_handgun returned_long_gun returned_other \\\n", "count 115.000000 62.000000 61.000000 55.000000 \n", "mean 1.930435 11.870968 24.245902 0.454545 \n", "std 2.978643 13.254735 25.848053 0.740825 \n", "min 0.000000 0.000000 0.000000 0.000000 \n", "25% 0.000000 0.000000 0.000000 0.000000 \n", "50% 0.000000 5.000000 17.000000 0.000000 \n", "75% 3.000000 25.250000 50.000000 1.000000 \n", "max 15.000000 37.000000 67.000000 3.000000 \n", "\n", " rentals_handgun rentals_long_gun private_sale_handgun \\\n", "count 40.000000 37.000000 72.000000 \n", "mean 2.775000 4.108108 281.319444 \n", "std 2.506274 2.558035 116.385327 \n", "min 0.000000 0.000000 62.000000 \n", "25% 1.000000 2.000000 187.500000 \n", "50% 2.000000 4.000000 300.500000 \n", "75% 4.000000 5.000000 369.250000 \n", "max 11.000000 12.000000 528.000000 \n", "\n", " private_sale_long_gun private_sale_other return_to_seller_handgun \\\n", "count 72.000000 72.000000 67.000000 \n", "mean 211.430556 15.277778 6.716418 \n", "std 99.774228 10.769312 4.025698 \n", "min 40.000000 0.000000 0.000000 \n", "25% 125.500000 7.000000 4.000000 \n", "50% 209.500000 14.000000 7.000000 \n", "75% 287.500000 20.250000 9.500000 \n", "max 457.000000 59.000000 21.000000 \n", "\n", " return_to_seller_long_gun return_to_seller_other totals \n", "count 72.000000 63.000000 249.000000 \n", "mean 7.166667 0.714286 21305.771084 \n", "std 3.992952 1.006889 8656.293320 \n", "min 1.000000 0.000000 319.000000 \n", "25% 4.000000 0.000000 14408.000000 \n", "50% 7.000000 0.000000 20283.000000 \n", "75% 10.000000 1.000000 27139.000000 \n", "max 17.000000 4.000000 48515.000000 " ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ny_guns.describe()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Groupby\n", "\n", "\n", "What if we wanted to find the mean number of handgun checks for each state? Our usual method of filtering would take a while. Instead we will use the *group by* process, which:\n", "- *splits* the data into groups based on some criteria\n", "- *applies* a function to each group independently\n", "- *combines* the results into a data structure\n", "\n", "The splitting step is done by the function `groupby()` and a second function, like `mean()`, is applied to the groups." ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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permitpermit_recheckhandgunlong_gunothermultipleadminprepawn_handgunprepawn_long_gunprepawn_otherredemption_handgunredemption_long_gunredemption_otherreturned_handgunreturned_long_gunreturned_otherrentals_handgunrentals_long_gunprivate_sale_handgunprivate_sale_long_gunprivate_sale_otherreturn_to_seller_handgunreturn_to_seller_long_gunreturn_to_seller_othertotals
state
Alabama6405.401606132.2380959594.30923711159.228916381.196721457.0080320.12851421.12616830.8644860.3217391547.1682241734.1869164.4173910.0000000.0000000.0000000.0250.0000009.5138898.7500000.8888890.3134330.2638890.23809530697.907631
Alaska74.1927713.6904761984.2048192531.104418182.721311133.2570280.0763055.0887856.9672900.017391165.859813190.4579440.93043520.46774216.3278690.2545450.0000.0000008.2222229.8888890.7777780.0746270.1111110.0317465144.690763
Arizona3435.200803402.0238108273.0642576632.144578689.090164406.57429726.6787157.8785054.9672900.426087967.892523593.8317763.59130485.7903237.3606560.2909090.0000.00000011.4305567.3611111.4583330.4477610.4583330.09523820563.562249
Arkansas2399.136546736.0476194383.1365467224.240964163.032787285.91967912.4738968.74766420.2570090.191304817.2009351870.4859812.0173910.0000000.0000000.0000000.0000.0000006.7916678.3055560.9861110.3432840.3888890.12698416849.674699
California29954.3212850.00000027043.91164726179.7630523509.073770834.795181112.3694780.0000000.0000000.000000226.210280185.0887857.0956520.0000000.0000000.0000000.0000.0000000.0000000.0000000.0000000.0000000.0000000.00000086201.228916
Colorado2438.3293170.00000011789.75100412132.473896762.7622951332.03614511.7580650.1775700.0841120.0000000.3831780.3878500.000000183.50000037.7049181.2181820.0000.0000000.0000000.0000000.0000000.0000000.0000000.00000028134.108434
Connecticut7004.943775258.8333333985.4698802741.417671237.95901632.224900116.6305220.0000000.0000000.5391300.0046730.0000000.0000000.0161290.0000000.0000000.0000.0000000.4166670.5138890.0416670.6119400.3472220.07936514041.759036
Delaware128.7389560.000000982.2449801104.24096474.28688540.7349400.2048190.5560750.6308410.0521747.4205615.5841120.76521718.6612900.0000000.0909090.0000.00000037.62500016.4722222.1805560.6716420.3888890.0476192326.381526
District of Columbia19.6425700.00000026.2128512.7269080.0163930.2409640.2249000.0000000.0000000.0000000.0046950.0000000.0000000.0967740.0819670.9272730.0000.0000000.0000000.0000000.0000000.0000000.0000000.00000049.309237
Florida6006.5542170.00000028192.10843417175.8995981940.3524591178.244980340.05220918.86915911.0560750.2869571483.897196782.4906544.347826311.88709739.4918031.8181820.0000.00000047.52777825.7222226.37500010.0746278.0555560.19047655935.080321
Georgia8852.0080320.0000009737.2650609986.096386341.745902412.8755021658.30120512.79906517.7196260.5043481205.9205611314.5186924.5826090.4193550.0327870.0000000.0000.00000013.0555567.7361111.2083330.2985070.5000000.04761933015.437751
Guam0.0000000.00000039.45381528.2449809.1885252.2128510.0000000.0000000.0000000.0000000.0186920.0420560.0173910.0000000.0000000.0000000.0000.0000000.0000000.0000000.0000000.0000000.0000000.03174674.481928
Hawaii892.7871490.0714290.0120480.1405620.0163930.0080320.4377510.0093460.0093460.0173910.0093460.0093460.0173910.9838711.7868850.0181820.0000.0000000.0000000.0000000.0000000.0000000.0000000.000000894.140562
Idaho2108.4819283.8095242245.5020083945.799197161.385246148.21285190.5903612.7897206.1214950.200000275.672897635.7383181.00000022.9193556.2622950.9818180.0000.0000004.1666676.4305560.3750000.3283580.6805560.0634929420.746988
Illinois39539.943775138498.52381011713.69076310168.3132530.008197510.8674700.0000000.0000000.0000000.0000000.0046730.0000000.0000000.0000000.0000000.0000000.0000.0000000.0000000.0000000.0000000.0000000.0000000.00000085294.020080
Indiana15090.20883514925.02381010437.01606410468.208835900.811475374.5180727.5823291.1308414.3925230.51304358.696262497.6635515.22608717.3548390.5409840.4545450.0000.00000029.83333318.7361115.7777781.4179101.3333330.15873039843.000000
Iowa6550.8313252957.50000088.6746993330.98393626.5901644.3493985.8192770.0280371.0514020.0347832.280374109.8971960.22608715.6290325.9180330.6000000.0000.0000000.2916673.1250000.2083330.0000000.0138890.00000010596.526104
Kansas780.7550204.2142864240.0401615643.092369303.491803263.6706830.4578313.9018694.1214950.278261408.247664450.5093463.33913013.4838713.9344260.6000000.0000.0000006.6111116.9444441.6666670.2089550.2500000.04761911833.036145
Kentucky130479.95180711985.0238107928.0160649690.457831238.688525494.726908148.79919714.75700925.2383180.3217391416.8271032025.4205612.7478265.7580653.5245900.0181820.0000.00000012.01388911.4861110.7638890.3432840.4027780.142857153884.220884
Louisiana552.62500046.4285718131.94377510004.333333534.081967404.4538150.2088355.8691598.0233640.426087888.7757011153.9485982.0521740.0483870.0000000.0000000.0000.00000010.87500010.5972221.3611110.5671640.4305560.20634921136.477912
Maine122.8955821.0476192039.4056223160.819277154.778689117.2489960.3012057.66822425.9112150.01739164.481308140.6074770.6086969.8709687.3606560.2545450.0000.0000004.6666673.2083330.2361110.2238810.3472220.0317465728.923695
Mariana Islands0.0000000.0000001.7250001.3958330.2622950.1405620.0000000.0000000.0000000.0000000.0000000.0140850.0000000.0000000.0000000.0000000.0000.0000000.0000000.0000000.0000000.0000000.0000000.0000003.289157
Maryland1642.5140560.5952382784.7791164632.36947893.70491814.9116470.2088350.8878501.6448600.55652253.686916127.8504671.66087033.33871013.2786890.0545450.0000.0270270.40277815.1805568.7361110.7761190.9583330.6984139299.281124
Massachusetts6346.7309240.5000003054.0883531969.092369322.83606699.787149243.3895580.0560750.0607480.1478261.6028041.1728970.3565220.5806450.3934430.1636360.0000.00000032.26388922.8055566.7222221.2089550.7638890.14285711892.795181
Michigan15032.787149494.4285714706.38955812333.534137356.926230102.17269112.9076310.2102805.5981310.1826093.065421312.3925230.65217474.27419414.8688520.6181820.0000.0000009.40277810.4027780.6805560.2089550.2638890.11111132750.919679
Minnesota11976.0200806011.9523815401.95582310467.550201453.524590219.2489960.0040160.7757013.9579440.130435129.205607498.2289722.60000015.8709687.7704921.0545450.0000.0000008.6527789.9861110.7916670.1194030.3055560.09523829857.473896
Mississippi583.6144580.0238105477.9357437491.140562215.327869276.4658634.46184736.59345845.2850470.3478261042.2616821470.3037382.4173910.5967740.0819670.0000000.0000.0000006.7222225.2777780.8750000.2537310.2916670.09523816174.232932
Missouri1986.1365460.00000011379.74698813724.425703898.606557550.7670680.0040165.80841113.4485980.495652714.8785051437.4906544.669565137.95161319.6065573.9454550.0000.00000038.33333330.6944444.2638891.2537311.2777780.22222230012.104418
Montana688.7911653.9761902122.6827314209.160643118.598361175.6947795.8427422.5794398.6682240.634783368.018692970.9252340.69565214.0483874.4590161.2545450.0000.0000003.0833334.8333330.2777780.4925370.7777780.0634928429.558233
Nebraska2586.89959874.66666762.4738962345.71485916.6393443.2730920.2771080.0794390.7616820.0347833.38317895.4392520.1826097.1612902.1311480.1818180.0000.0000000.0277782.8611110.0277780.0000000.0000000.0000005108.329317
Nevada1061.3172690.0000003477.5100402756.979920198.147541212.9236950.1004020.0467290.0747660.026087221.453271132.3925230.2869570.3225810.0491800.0000000.0000.0000000.3055560.1388890.0000000.0149250.0000000.0000007910.497992
New Hampshire1785.4497990.0000002732.5100402628.16465991.2622958.73494011.3092370.0187790.8738320.0695650.3177579.2850470.38260958.6451614.0327872.5818180.0000.0000001.2638892.9722220.2361110.0000000.0833330.0317467237.598394
New Jersey0.0000000.0000002684.8835342497.220884141.81147535.1887551.8393570.0093460.0000000.0000000.0000000.0000000.0000000.2419350.0000000.0000000.0000.0000009.4027786.1527780.2777780.1044780.1805560.1428575293.377510
New Mexico460.4658630.0000003719.0722894007.156627291.606557219.3654620.0281123.6401876.5000000.139130403.163551705.8551401.49565238.8548390.0327870.0000000.0000.0000003.8194443.7638890.4583330.1791040.2638890.0317469523.706827
New York3496.8072291327.2380954762.93975912132.277108718.35245992.18875554.5301209.2149530.4065420.3391309.06074815.2149531.93043511.87096824.2459020.4545452.7754.108108281.319444211.43055615.2777786.7164187.1666670.71428621305.771084
North Carolina17805.82730916.095238745.19277112990.570281542.286885165.4377510.00000011.55140222.1448600.4695651480.8691592198.1728977.13913035.9193556.4426231.6545454.9253.2972974.48611114.2777781.5138890.3880601.0555560.25396835188.329317
North Dakota471.2891570.000000981.0080322559.20080368.06557450.1927711.0080320.7009351.2990650.11304341.957944143.0747660.5130430.1290320.0163930.0000000.0000.0000003.6944447.2361110.6527780.0447760.0555560.0952384260.518072
Ohio2703.666667303.26190517297.09638616073.6947791166.622951815.8835340.14056212.90186936.1214950.965217874.542056963.2289725.15652222.5967744.9344261.2363640.0000.00000021.59722213.6805561.6250000.9552240.7777780.22222239155.959839
Oklahoma154.5301200.0000008103.8674708966.273092726.942623601.8634542.80321310.98130818.5981310.3652171312.5560751852.7897205.2347830.0000000.0000000.0000000.0000.00000025.81944421.9027784.7361110.9701491.2083330.19047620949.763052
Oregon594.566265109.6666677845.8473909045.9678710.008197190.6506020.5823290.0000000.0000000.0000000.0000000.0000000.00000057.80645224.9344260.3818180.0000.0000000.0000000.0000000.0000000.0000000.0000000.00000017716.702811
Pennsylvania8216.9196790.00000012672.75903638939.84337349.950820238.49799241.7389560.0140190.0420560.0000000.0186920.0280370.000000450.354839100.2622951.0727270.0000.0000000.0000000.0000000.0000000.0000000.0000000.00000060271.257028
Puerto Rico0.0000000.000000813.682731143.51807231.22131118.7389560.0000000.1869160.0981310.0782613.1448600.7757010.0695650.0000000.0000000.0000000.0000.0000000.1666670.0555560.0555560.2835820.1944440.031746995.140562
Rhode Island0.0000000.000000645.795181550.26907653.745902109.5662650.0000000.0233640.0280370.0260871.4719631.4018690.0173917.3548399.0655743.1090910.0000.0000007.9166673.6805560.5694440.6567160.6944440.0158731343.136546
South Carolina4315.128514256.0238106339.6345385920.730924382.000000245.9839360.5863455.8785056.3317760.269565741.266355773.1869162.69565251.6935487.2786890.6000000.0000.0000008.3750005.7500000.5138890.4477610.2777780.15873018385.116466
South Dakota226.0803210.0238101482.6465863401.963855129.61475493.5783130.0843370.7289721.5700930.07826189.710280230.1448600.5478260.0000000.0000000.0000000.0000.0000002.2777785.0416670.5833330.0895520.1111110.0158735547.369478
Tennessee6027.9678711492.80952414706.51807212843.429719405.721311471.3012050.1927710.0000000.0000000.0000000.0000000.0000000.00000032.7258065.1639344.2909090.0000.0000000.0000000.0000000.0000000.0000000.0000000.00000034510.357430
Texas14378.4819280.00000030051.13253033703.4417672233.6721311764.437751137.18473947.96261749.8644861.4695654586.0000004998.91588826.27826135.0322583.1147540.3090910.1750.00000042.75000034.2916675.1805561.4626871.7083330.34920689497.951807
Utah12409.9598396487.4761902599.9959844087.088353151.893443102.1164660.0160640.5514020.4507040.286957106.285047150.9299070.313043140.01612951.36065626.8545450.0000.0000000.0000000.0000000.0000000.0000000.0000000.00000020643.445783
Vermont0.0080320.000000877.5140561281.71887668.30327939.5662650.2128510.0140850.0422540.0260870.5560750.8084110.3217390.0000000.0000000.0000000.0000.0000001.1944441.5833330.1250000.0746270.0277780.0000002234.734940
Virgin Islands55.6144070.00000016.2521012.1297070.0983610.3253010.0042370.0000000.0000000.0000000.0199000.0049750.0000000.0000000.0000000.0000000.0000.0000000.0555560.0000000.0000000.0000000.0000000.00000070.702811
Virginia219.24596823.71428613528.40160612742.1847391050.663934169.6907631.2811240.0000000.0000000.0000000.0000000.0000000.00000016.9354844.0819670.1818180.0000.0000000.0000000.0000000.0000000.0000000.0000000.00000027183.963855
Washington8012.18473969.2142869695.2008039329.0682731422.926230424.35743013.9357435.7710288.2196260.930435960.7570091124.0140195.391304377.500000101.8360668.0727270.0000.000000489.888889392.69444436.0972228.1940307.1250000.66666730381.076305
West Virginia700.0080322.0000004576.5421696624.277108210.114754304.4096392.1927714.86448610.0000000.121739789.0700931825.8785051.2956526.2903230.5737701.2000000.0000.00000011.9305569.3888890.6111110.2388060.3333330.07936514580.024096
Wisconsin4041.22891688.7142867582.93172711741.590361529.77868920.2088350.0080320.1542062.1495331.89565252.504673251.7757013.17391346.01612919.6393442.4727270.0000.0000001.1805568.8888890.2361110.0149250.2222220.01587323946.200803
Wyoming359.2008039.9523811290.7429721942.18875580.36885278.7188764.5461851.7616825.2897200.060870116.299065244.4532710.6521740.0645160.0819670.0000000.0000.0000002.5833334.4166670.2222220.1940300.3611110.0158734035.172691
\n", "
" ], "text/plain": [ " permit permit_recheck handgun \\\n", "state \n", "Alabama 6405.401606 132.238095 9594.309237 \n", "Alaska 74.192771 3.690476 1984.204819 \n", "Arizona 3435.200803 402.023810 8273.064257 \n", "Arkansas 2399.136546 736.047619 4383.136546 \n", "California 29954.321285 0.000000 27043.911647 \n", "Colorado 2438.329317 0.000000 11789.751004 \n", "Connecticut 7004.943775 258.833333 3985.469880 \n", "Delaware 128.738956 0.000000 982.244980 \n", "District of Columbia 19.642570 0.000000 26.212851 \n", "Florida 6006.554217 0.000000 28192.108434 \n", "Georgia 8852.008032 0.000000 9737.265060 \n", "Guam 0.000000 0.000000 39.453815 \n", "Hawaii 892.787149 0.071429 0.012048 \n", "Idaho 2108.481928 3.809524 2245.502008 \n", "Illinois 39539.943775 138498.523810 11713.690763 \n", "Indiana 15090.208835 14925.023810 10437.016064 \n", "Iowa 6550.831325 2957.500000 88.674699 \n", "Kansas 780.755020 4.214286 4240.040161 \n", "Kentucky 130479.951807 11985.023810 7928.016064 \n", "Louisiana 552.625000 46.428571 8131.943775 \n", "Maine 122.895582 1.047619 2039.405622 \n", "Mariana Islands 0.000000 0.000000 1.725000 \n", "Maryland 1642.514056 0.595238 2784.779116 \n", "Massachusetts 6346.730924 0.500000 3054.088353 \n", "Michigan 15032.787149 494.428571 4706.389558 \n", "Minnesota 11976.020080 6011.952381 5401.955823 \n", "Mississippi 583.614458 0.023810 5477.935743 \n", "Missouri 1986.136546 0.000000 11379.746988 \n", "Montana 688.791165 3.976190 2122.682731 \n", "Nebraska 2586.899598 74.666667 62.473896 \n", "Nevada 1061.317269 0.000000 3477.510040 \n", "New Hampshire 1785.449799 0.000000 2732.510040 \n", "New Jersey 0.000000 0.000000 2684.883534 \n", "New Mexico 460.465863 0.000000 3719.072289 \n", "New York 3496.807229 1327.238095 4762.939759 \n", "North Carolina 17805.827309 16.095238 745.192771 \n", "North Dakota 471.289157 0.000000 981.008032 \n", "Ohio 2703.666667 303.261905 17297.096386 \n", "Oklahoma 154.530120 0.000000 8103.867470 \n", "Oregon 594.566265 109.666667 7845.847390 \n", "Pennsylvania 8216.919679 0.000000 12672.759036 \n", "Puerto Rico 0.000000 0.000000 813.682731 \n", "Rhode Island 0.000000 0.000000 645.795181 \n", "South Carolina 4315.128514 256.023810 6339.634538 \n", "South Dakota 226.080321 0.023810 1482.646586 \n", "Tennessee 6027.967871 1492.809524 14706.518072 \n", "Texas 14378.481928 0.000000 30051.132530 \n", "Utah 12409.959839 6487.476190 2599.995984 \n", "Vermont 0.008032 0.000000 877.514056 \n", "Virgin Islands 55.614407 0.000000 16.252101 \n", "Virginia 219.245968 23.714286 13528.401606 \n", "Washington 8012.184739 69.214286 9695.200803 \n", "West Virginia 700.008032 2.000000 4576.542169 \n", "Wisconsin 4041.228916 88.714286 7582.931727 \n", "Wyoming 359.200803 9.952381 1290.742972 \n", "\n", " long_gun other multiple admin \\\n", "state \n", "Alabama 11159.228916 381.196721 457.008032 0.128514 \n", "Alaska 2531.104418 182.721311 133.257028 0.076305 \n", "Arizona 6632.144578 689.090164 406.574297 26.678715 \n", "Arkansas 7224.240964 163.032787 285.919679 12.473896 \n", "California 26179.763052 3509.073770 834.795181 112.369478 \n", "Colorado 12132.473896 762.762295 1332.036145 11.758065 \n", "Connecticut 2741.417671 237.959016 32.224900 116.630522 \n", "Delaware 1104.240964 74.286885 40.734940 0.204819 \n", "District of Columbia 2.726908 0.016393 0.240964 0.224900 \n", "Florida 17175.899598 1940.352459 1178.244980 340.052209 \n", "Georgia 9986.096386 341.745902 412.875502 1658.301205 \n", "Guam 28.244980 9.188525 2.212851 0.000000 \n", "Hawaii 0.140562 0.016393 0.008032 0.437751 \n", "Idaho 3945.799197 161.385246 148.212851 90.590361 \n", "Illinois 10168.313253 0.008197 510.867470 0.000000 \n", "Indiana 10468.208835 900.811475 374.518072 7.582329 \n", "Iowa 3330.983936 26.590164 4.349398 5.819277 \n", "Kansas 5643.092369 303.491803 263.670683 0.457831 \n", "Kentucky 9690.457831 238.688525 494.726908 148.799197 \n", "Louisiana 10004.333333 534.081967 404.453815 0.208835 \n", "Maine 3160.819277 154.778689 117.248996 0.301205 \n", "Mariana Islands 1.395833 0.262295 0.140562 0.000000 \n", "Maryland 4632.369478 93.704918 14.911647 0.208835 \n", "Massachusetts 1969.092369 322.836066 99.787149 243.389558 \n", "Michigan 12333.534137 356.926230 102.172691 12.907631 \n", "Minnesota 10467.550201 453.524590 219.248996 0.004016 \n", "Mississippi 7491.140562 215.327869 276.465863 4.461847 \n", "Missouri 13724.425703 898.606557 550.767068 0.004016 \n", "Montana 4209.160643 118.598361 175.694779 5.842742 \n", "Nebraska 2345.714859 16.639344 3.273092 0.277108 \n", "Nevada 2756.979920 198.147541 212.923695 0.100402 \n", "New Hampshire 2628.164659 91.262295 8.734940 11.309237 \n", "New Jersey 2497.220884 141.811475 35.188755 1.839357 \n", "New Mexico 4007.156627 291.606557 219.365462 0.028112 \n", "New York 12132.277108 718.352459 92.188755 54.530120 \n", "North Carolina 12990.570281 542.286885 165.437751 0.000000 \n", "North Dakota 2559.200803 68.065574 50.192771 1.008032 \n", "Ohio 16073.694779 1166.622951 815.883534 0.140562 \n", "Oklahoma 8966.273092 726.942623 601.863454 2.803213 \n", "Oregon 9045.967871 0.008197 190.650602 0.582329 \n", "Pennsylvania 38939.843373 49.950820 238.497992 41.738956 \n", "Puerto Rico 143.518072 31.221311 18.738956 0.000000 \n", "Rhode Island 550.269076 53.745902 109.566265 0.000000 \n", "South Carolina 5920.730924 382.000000 245.983936 0.586345 \n", "South Dakota 3401.963855 129.614754 93.578313 0.084337 \n", "Tennessee 12843.429719 405.721311 471.301205 0.192771 \n", "Texas 33703.441767 2233.672131 1764.437751 137.184739 \n", "Utah 4087.088353 151.893443 102.116466 0.016064 \n", "Vermont 1281.718876 68.303279 39.566265 0.212851 \n", "Virgin Islands 2.129707 0.098361 0.325301 0.004237 \n", "Virginia 12742.184739 1050.663934 169.690763 1.281124 \n", "Washington 9329.068273 1422.926230 424.357430 13.935743 \n", "West Virginia 6624.277108 210.114754 304.409639 2.192771 \n", "Wisconsin 11741.590361 529.778689 20.208835 0.008032 \n", "Wyoming 1942.188755 80.368852 78.718876 4.546185 \n", "\n", " prepawn_handgun prepawn_long_gun prepawn_other \\\n", "state \n", "Alabama 21.126168 30.864486 0.321739 \n", "Alaska 5.088785 6.967290 0.017391 \n", "Arizona 7.878505 4.967290 0.426087 \n", "Arkansas 8.747664 20.257009 0.191304 \n", "California 0.000000 0.000000 0.000000 \n", "Colorado 0.177570 0.084112 0.000000 \n", "Connecticut 0.000000 0.000000 0.539130 \n", "Delaware 0.556075 0.630841 0.052174 \n", "District of Columbia 0.000000 0.000000 0.000000 \n", "Florida 18.869159 11.056075 0.286957 \n", "Georgia 12.799065 17.719626 0.504348 \n", "Guam 0.000000 0.000000 0.000000 \n", "Hawaii 0.009346 0.009346 0.017391 \n", "Idaho 2.789720 6.121495 0.200000 \n", "Illinois 0.000000 0.000000 0.000000 \n", "Indiana 1.130841 4.392523 0.513043 \n", "Iowa 0.028037 1.051402 0.034783 \n", "Kansas 3.901869 4.121495 0.278261 \n", "Kentucky 14.757009 25.238318 0.321739 \n", "Louisiana 5.869159 8.023364 0.426087 \n", "Maine 7.668224 25.911215 0.017391 \n", "Mariana Islands 0.000000 0.000000 0.000000 \n", "Maryland 0.887850 1.644860 0.556522 \n", "Massachusetts 0.056075 0.060748 0.147826 \n", "Michigan 0.210280 5.598131 0.182609 \n", "Minnesota 0.775701 3.957944 0.130435 \n", "Mississippi 36.593458 45.285047 0.347826 \n", "Missouri 5.808411 13.448598 0.495652 \n", "Montana 2.579439 8.668224 0.634783 \n", "Nebraska 0.079439 0.761682 0.034783 \n", "Nevada 0.046729 0.074766 0.026087 \n", "New Hampshire 0.018779 0.873832 0.069565 \n", "New Jersey 0.009346 0.000000 0.000000 \n", "New Mexico 3.640187 6.500000 0.139130 \n", "New York 9.214953 0.406542 0.339130 \n", "North Carolina 11.551402 22.144860 0.469565 \n", "North Dakota 0.700935 1.299065 0.113043 \n", "Ohio 12.901869 36.121495 0.965217 \n", "Oklahoma 10.981308 18.598131 0.365217 \n", "Oregon 0.000000 0.000000 0.000000 \n", "Pennsylvania 0.014019 0.042056 0.000000 \n", "Puerto Rico 0.186916 0.098131 0.078261 \n", "Rhode Island 0.023364 0.028037 0.026087 \n", "South Carolina 5.878505 6.331776 0.269565 \n", "South Dakota 0.728972 1.570093 0.078261 \n", "Tennessee 0.000000 0.000000 0.000000 \n", "Texas 47.962617 49.864486 1.469565 \n", "Utah 0.551402 0.450704 0.286957 \n", "Vermont 0.014085 0.042254 0.026087 \n", "Virgin Islands 0.000000 0.000000 0.000000 \n", "Virginia 0.000000 0.000000 0.000000 \n", "Washington 5.771028 8.219626 0.930435 \n", "West Virginia 4.864486 10.000000 0.121739 \n", "Wisconsin 0.154206 2.149533 1.895652 \n", "Wyoming 1.761682 5.289720 0.060870 \n", "\n", " redemption_handgun redemption_long_gun \\\n", "state \n", "Alabama 1547.168224 1734.186916 \n", "Alaska 165.859813 190.457944 \n", "Arizona 967.892523 593.831776 \n", "Arkansas 817.200935 1870.485981 \n", "California 226.210280 185.088785 \n", "Colorado 0.383178 0.387850 \n", "Connecticut 0.004673 0.000000 \n", "Delaware 7.420561 5.584112 \n", "District of Columbia 0.004695 0.000000 \n", "Florida 1483.897196 782.490654 \n", "Georgia 1205.920561 1314.518692 \n", "Guam 0.018692 0.042056 \n", "Hawaii 0.009346 0.009346 \n", "Idaho 275.672897 635.738318 \n", "Illinois 0.004673 0.000000 \n", "Indiana 58.696262 497.663551 \n", "Iowa 2.280374 109.897196 \n", "Kansas 408.247664 450.509346 \n", "Kentucky 1416.827103 2025.420561 \n", "Louisiana 888.775701 1153.948598 \n", "Maine 64.481308 140.607477 \n", "Mariana Islands 0.000000 0.014085 \n", "Maryland 53.686916 127.850467 \n", "Massachusetts 1.602804 1.172897 \n", "Michigan 3.065421 312.392523 \n", "Minnesota 129.205607 498.228972 \n", "Mississippi 1042.261682 1470.303738 \n", "Missouri 714.878505 1437.490654 \n", "Montana 368.018692 970.925234 \n", "Nebraska 3.383178 95.439252 \n", "Nevada 221.453271 132.392523 \n", "New Hampshire 0.317757 9.285047 \n", "New Jersey 0.000000 0.000000 \n", "New Mexico 403.163551 705.855140 \n", "New York 9.060748 15.214953 \n", "North Carolina 1480.869159 2198.172897 \n", "North Dakota 41.957944 143.074766 \n", "Ohio 874.542056 963.228972 \n", "Oklahoma 1312.556075 1852.789720 \n", "Oregon 0.000000 0.000000 \n", "Pennsylvania 0.018692 0.028037 \n", "Puerto Rico 3.144860 0.775701 \n", "Rhode Island 1.471963 1.401869 \n", "South Carolina 741.266355 773.186916 \n", "South Dakota 89.710280 230.144860 \n", "Tennessee 0.000000 0.000000 \n", "Texas 4586.000000 4998.915888 \n", "Utah 106.285047 150.929907 \n", "Vermont 0.556075 0.808411 \n", "Virgin Islands 0.019900 0.004975 \n", "Virginia 0.000000 0.000000 \n", "Washington 960.757009 1124.014019 \n", "West Virginia 789.070093 1825.878505 \n", "Wisconsin 52.504673 251.775701 \n", "Wyoming 116.299065 244.453271 \n", "\n", " redemption_other returned_handgun returned_long_gun \\\n", "state \n", "Alabama 4.417391 0.000000 0.000000 \n", "Alaska 0.930435 20.467742 16.327869 \n", "Arizona 3.591304 85.790323 7.360656 \n", "Arkansas 2.017391 0.000000 0.000000 \n", "California 7.095652 0.000000 0.000000 \n", "Colorado 0.000000 183.500000 37.704918 \n", "Connecticut 0.000000 0.016129 0.000000 \n", "Delaware 0.765217 18.661290 0.000000 \n", "District of Columbia 0.000000 0.096774 0.081967 \n", "Florida 4.347826 311.887097 39.491803 \n", "Georgia 4.582609 0.419355 0.032787 \n", "Guam 0.017391 0.000000 0.000000 \n", "Hawaii 0.017391 0.983871 1.786885 \n", "Idaho 1.000000 22.919355 6.262295 \n", "Illinois 0.000000 0.000000 0.000000 \n", "Indiana 5.226087 17.354839 0.540984 \n", "Iowa 0.226087 15.629032 5.918033 \n", "Kansas 3.339130 13.483871 3.934426 \n", "Kentucky 2.747826 5.758065 3.524590 \n", "Louisiana 2.052174 0.048387 0.000000 \n", "Maine 0.608696 9.870968 7.360656 \n", "Mariana Islands 0.000000 0.000000 0.000000 \n", "Maryland 1.660870 33.338710 13.278689 \n", "Massachusetts 0.356522 0.580645 0.393443 \n", "Michigan 0.652174 74.274194 14.868852 \n", "Minnesota 2.600000 15.870968 7.770492 \n", "Mississippi 2.417391 0.596774 0.081967 \n", "Missouri 4.669565 137.951613 19.606557 \n", "Montana 0.695652 14.048387 4.459016 \n", "Nebraska 0.182609 7.161290 2.131148 \n", "Nevada 0.286957 0.322581 0.049180 \n", "New Hampshire 0.382609 58.645161 4.032787 \n", "New Jersey 0.000000 0.241935 0.000000 \n", "New Mexico 1.495652 38.854839 0.032787 \n", "New York 1.930435 11.870968 24.245902 \n", "North Carolina 7.139130 35.919355 6.442623 \n", "North Dakota 0.513043 0.129032 0.016393 \n", "Ohio 5.156522 22.596774 4.934426 \n", "Oklahoma 5.234783 0.000000 0.000000 \n", "Oregon 0.000000 57.806452 24.934426 \n", "Pennsylvania 0.000000 450.354839 100.262295 \n", "Puerto Rico 0.069565 0.000000 0.000000 \n", "Rhode Island 0.017391 7.354839 9.065574 \n", "South Carolina 2.695652 51.693548 7.278689 \n", "South Dakota 0.547826 0.000000 0.000000 \n", "Tennessee 0.000000 32.725806 5.163934 \n", "Texas 26.278261 35.032258 3.114754 \n", "Utah 0.313043 140.016129 51.360656 \n", "Vermont 0.321739 0.000000 0.000000 \n", "Virgin Islands 0.000000 0.000000 0.000000 \n", "Virginia 0.000000 16.935484 4.081967 \n", "Washington 5.391304 377.500000 101.836066 \n", "West Virginia 1.295652 6.290323 0.573770 \n", "Wisconsin 3.173913 46.016129 19.639344 \n", "Wyoming 0.652174 0.064516 0.081967 \n", "\n", " returned_other rentals_handgun rentals_long_gun \\\n", "state \n", "Alabama 0.000000 0.025 0.000000 \n", "Alaska 0.254545 0.000 0.000000 \n", "Arizona 0.290909 0.000 0.000000 \n", "Arkansas 0.000000 0.000 0.000000 \n", "California 0.000000 0.000 0.000000 \n", "Colorado 1.218182 0.000 0.000000 \n", "Connecticut 0.000000 0.000 0.000000 \n", "Delaware 0.090909 0.000 0.000000 \n", "District of Columbia 0.927273 0.000 0.000000 \n", "Florida 1.818182 0.000 0.000000 \n", "Georgia 0.000000 0.000 0.000000 \n", "Guam 0.000000 0.000 0.000000 \n", "Hawaii 0.018182 0.000 0.000000 \n", "Idaho 0.981818 0.000 0.000000 \n", "Illinois 0.000000 0.000 0.000000 \n", "Indiana 0.454545 0.000 0.000000 \n", "Iowa 0.600000 0.000 0.000000 \n", "Kansas 0.600000 0.000 0.000000 \n", "Kentucky 0.018182 0.000 0.000000 \n", "Louisiana 0.000000 0.000 0.000000 \n", "Maine 0.254545 0.000 0.000000 \n", "Mariana Islands 0.000000 0.000 0.000000 \n", "Maryland 0.054545 0.000 0.027027 \n", "Massachusetts 0.163636 0.000 0.000000 \n", "Michigan 0.618182 0.000 0.000000 \n", "Minnesota 1.054545 0.000 0.000000 \n", "Mississippi 0.000000 0.000 0.000000 \n", "Missouri 3.945455 0.000 0.000000 \n", "Montana 1.254545 0.000 0.000000 \n", "Nebraska 0.181818 0.000 0.000000 \n", "Nevada 0.000000 0.000 0.000000 \n", "New Hampshire 2.581818 0.000 0.000000 \n", "New Jersey 0.000000 0.000 0.000000 \n", "New Mexico 0.000000 0.000 0.000000 \n", "New York 0.454545 2.775 4.108108 \n", "North Carolina 1.654545 4.925 3.297297 \n", "North Dakota 0.000000 0.000 0.000000 \n", "Ohio 1.236364 0.000 0.000000 \n", "Oklahoma 0.000000 0.000 0.000000 \n", "Oregon 0.381818 0.000 0.000000 \n", "Pennsylvania 1.072727 0.000 0.000000 \n", "Puerto Rico 0.000000 0.000 0.000000 \n", "Rhode Island 3.109091 0.000 0.000000 \n", "South Carolina 0.600000 0.000 0.000000 \n", "South Dakota 0.000000 0.000 0.000000 \n", "Tennessee 4.290909 0.000 0.000000 \n", "Texas 0.309091 0.175 0.000000 \n", "Utah 26.854545 0.000 0.000000 \n", "Vermont 0.000000 0.000 0.000000 \n", "Virgin Islands 0.000000 0.000 0.000000 \n", "Virginia 0.181818 0.000 0.000000 \n", "Washington 8.072727 0.000 0.000000 \n", "West Virginia 1.200000 0.000 0.000000 \n", "Wisconsin 2.472727 0.000 0.000000 \n", "Wyoming 0.000000 0.000 0.000000 \n", "\n", " private_sale_handgun private_sale_long_gun \\\n", "state \n", "Alabama 9.513889 8.750000 \n", "Alaska 8.222222 9.888889 \n", "Arizona 11.430556 7.361111 \n", "Arkansas 6.791667 8.305556 \n", "California 0.000000 0.000000 \n", "Colorado 0.000000 0.000000 \n", "Connecticut 0.416667 0.513889 \n", "Delaware 37.625000 16.472222 \n", "District of Columbia 0.000000 0.000000 \n", "Florida 47.527778 25.722222 \n", "Georgia 13.055556 7.736111 \n", "Guam 0.000000 0.000000 \n", "Hawaii 0.000000 0.000000 \n", "Idaho 4.166667 6.430556 \n", "Illinois 0.000000 0.000000 \n", "Indiana 29.833333 18.736111 \n", "Iowa 0.291667 3.125000 \n", "Kansas 6.611111 6.944444 \n", "Kentucky 12.013889 11.486111 \n", "Louisiana 10.875000 10.597222 \n", "Maine 4.666667 3.208333 \n", "Mariana Islands 0.000000 0.000000 \n", "Maryland 0.402778 15.180556 \n", "Massachusetts 32.263889 22.805556 \n", "Michigan 9.402778 10.402778 \n", "Minnesota 8.652778 9.986111 \n", "Mississippi 6.722222 5.277778 \n", "Missouri 38.333333 30.694444 \n", "Montana 3.083333 4.833333 \n", "Nebraska 0.027778 2.861111 \n", "Nevada 0.305556 0.138889 \n", "New Hampshire 1.263889 2.972222 \n", "New Jersey 9.402778 6.152778 \n", "New Mexico 3.819444 3.763889 \n", "New York 281.319444 211.430556 \n", "North Carolina 4.486111 14.277778 \n", "North Dakota 3.694444 7.236111 \n", "Ohio 21.597222 13.680556 \n", "Oklahoma 25.819444 21.902778 \n", "Oregon 0.000000 0.000000 \n", "Pennsylvania 0.000000 0.000000 \n", "Puerto Rico 0.166667 0.055556 \n", "Rhode Island 7.916667 3.680556 \n", "South Carolina 8.375000 5.750000 \n", "South Dakota 2.277778 5.041667 \n", "Tennessee 0.000000 0.000000 \n", "Texas 42.750000 34.291667 \n", "Utah 0.000000 0.000000 \n", "Vermont 1.194444 1.583333 \n", "Virgin Islands 0.055556 0.000000 \n", "Virginia 0.000000 0.000000 \n", "Washington 489.888889 392.694444 \n", "West Virginia 11.930556 9.388889 \n", "Wisconsin 1.180556 8.888889 \n", "Wyoming 2.583333 4.416667 \n", "\n", " private_sale_other return_to_seller_handgun \\\n", "state \n", "Alabama 0.888889 0.313433 \n", "Alaska 0.777778 0.074627 \n", "Arizona 1.458333 0.447761 \n", "Arkansas 0.986111 0.343284 \n", "California 0.000000 0.000000 \n", "Colorado 0.000000 0.000000 \n", "Connecticut 0.041667 0.611940 \n", "Delaware 2.180556 0.671642 \n", "District of Columbia 0.000000 0.000000 \n", "Florida 6.375000 10.074627 \n", "Georgia 1.208333 0.298507 \n", "Guam 0.000000 0.000000 \n", "Hawaii 0.000000 0.000000 \n", "Idaho 0.375000 0.328358 \n", "Illinois 0.000000 0.000000 \n", "Indiana 5.777778 1.417910 \n", "Iowa 0.208333 0.000000 \n", "Kansas 1.666667 0.208955 \n", "Kentucky 0.763889 0.343284 \n", "Louisiana 1.361111 0.567164 \n", "Maine 0.236111 0.223881 \n", "Mariana Islands 0.000000 0.000000 \n", "Maryland 8.736111 0.776119 \n", "Massachusetts 6.722222 1.208955 \n", "Michigan 0.680556 0.208955 \n", "Minnesota 0.791667 0.119403 \n", "Mississippi 0.875000 0.253731 \n", "Missouri 4.263889 1.253731 \n", "Montana 0.277778 0.492537 \n", "Nebraska 0.027778 0.000000 \n", "Nevada 0.000000 0.014925 \n", "New Hampshire 0.236111 0.000000 \n", "New Jersey 0.277778 0.104478 \n", "New Mexico 0.458333 0.179104 \n", "New York 15.277778 6.716418 \n", "North Carolina 1.513889 0.388060 \n", "North Dakota 0.652778 0.044776 \n", "Ohio 1.625000 0.955224 \n", "Oklahoma 4.736111 0.970149 \n", "Oregon 0.000000 0.000000 \n", "Pennsylvania 0.000000 0.000000 \n", "Puerto Rico 0.055556 0.283582 \n", "Rhode Island 0.569444 0.656716 \n", "South Carolina 0.513889 0.447761 \n", "South Dakota 0.583333 0.089552 \n", "Tennessee 0.000000 0.000000 \n", "Texas 5.180556 1.462687 \n", "Utah 0.000000 0.000000 \n", "Vermont 0.125000 0.074627 \n", "Virgin Islands 0.000000 0.000000 \n", "Virginia 0.000000 0.000000 \n", "Washington 36.097222 8.194030 \n", "West Virginia 0.611111 0.238806 \n", "Wisconsin 0.236111 0.014925 \n", "Wyoming 0.222222 0.194030 \n", "\n", " return_to_seller_long_gun return_to_seller_other \\\n", "state \n", "Alabama 0.263889 0.238095 \n", "Alaska 0.111111 0.031746 \n", "Arizona 0.458333 0.095238 \n", "Arkansas 0.388889 0.126984 \n", "California 0.000000 0.000000 \n", "Colorado 0.000000 0.000000 \n", "Connecticut 0.347222 0.079365 \n", "Delaware 0.388889 0.047619 \n", "District of Columbia 0.000000 0.000000 \n", "Florida 8.055556 0.190476 \n", "Georgia 0.500000 0.047619 \n", "Guam 0.000000 0.031746 \n", "Hawaii 0.000000 0.000000 \n", "Idaho 0.680556 0.063492 \n", "Illinois 0.000000 0.000000 \n", "Indiana 1.333333 0.158730 \n", "Iowa 0.013889 0.000000 \n", "Kansas 0.250000 0.047619 \n", "Kentucky 0.402778 0.142857 \n", "Louisiana 0.430556 0.206349 \n", "Maine 0.347222 0.031746 \n", "Mariana Islands 0.000000 0.000000 \n", "Maryland 0.958333 0.698413 \n", "Massachusetts 0.763889 0.142857 \n", "Michigan 0.263889 0.111111 \n", "Minnesota 0.305556 0.095238 \n", "Mississippi 0.291667 0.095238 \n", "Missouri 1.277778 0.222222 \n", "Montana 0.777778 0.063492 \n", "Nebraska 0.000000 0.000000 \n", "Nevada 0.000000 0.000000 \n", "New Hampshire 0.083333 0.031746 \n", "New Jersey 0.180556 0.142857 \n", "New Mexico 0.263889 0.031746 \n", "New York 7.166667 0.714286 \n", "North Carolina 1.055556 0.253968 \n", "North Dakota 0.055556 0.095238 \n", "Ohio 0.777778 0.222222 \n", "Oklahoma 1.208333 0.190476 \n", "Oregon 0.000000 0.000000 \n", "Pennsylvania 0.000000 0.000000 \n", "Puerto Rico 0.194444 0.031746 \n", "Rhode Island 0.694444 0.015873 \n", "South Carolina 0.277778 0.158730 \n", "South Dakota 0.111111 0.015873 \n", "Tennessee 0.000000 0.000000 \n", "Texas 1.708333 0.349206 \n", "Utah 0.000000 0.000000 \n", "Vermont 0.027778 0.000000 \n", "Virgin Islands 0.000000 0.000000 \n", "Virginia 0.000000 0.000000 \n", "Washington 7.125000 0.666667 \n", "West Virginia 0.333333 0.079365 \n", "Wisconsin 0.222222 0.015873 \n", "Wyoming 0.361111 0.015873 \n", "\n", " totals \n", "state \n", "Alabama 30697.907631 \n", "Alaska 5144.690763 \n", "Arizona 20563.562249 \n", "Arkansas 16849.674699 \n", "California 86201.228916 \n", "Colorado 28134.108434 \n", "Connecticut 14041.759036 \n", "Delaware 2326.381526 \n", "District of Columbia 49.309237 \n", "Florida 55935.080321 \n", "Georgia 33015.437751 \n", "Guam 74.481928 \n", "Hawaii 894.140562 \n", "Idaho 9420.746988 \n", "Illinois 85294.020080 \n", "Indiana 39843.000000 \n", "Iowa 10596.526104 \n", "Kansas 11833.036145 \n", "Kentucky 153884.220884 \n", "Louisiana 21136.477912 \n", "Maine 5728.923695 \n", "Mariana Islands 3.289157 \n", "Maryland 9299.281124 \n", "Massachusetts 11892.795181 \n", "Michigan 32750.919679 \n", "Minnesota 29857.473896 \n", "Mississippi 16174.232932 \n", "Missouri 30012.104418 \n", "Montana 8429.558233 \n", "Nebraska 5108.329317 \n", "Nevada 7910.497992 \n", "New Hampshire 7237.598394 \n", "New Jersey 5293.377510 \n", "New Mexico 9523.706827 \n", "New York 21305.771084 \n", "North Carolina 35188.329317 \n", "North Dakota 4260.518072 \n", "Ohio 39155.959839 \n", "Oklahoma 20949.763052 \n", "Oregon 17716.702811 \n", "Pennsylvania 60271.257028 \n", "Puerto Rico 995.140562 \n", "Rhode Island 1343.136546 \n", "South Carolina 18385.116466 \n", "South Dakota 5547.369478 \n", "Tennessee 34510.357430 \n", "Texas 89497.951807 \n", "Utah 20643.445783 \n", "Vermont 2234.734940 \n", "Virgin Islands 70.702811 \n", "Virginia 27183.963855 \n", "Washington 30381.076305 \n", "West Virginia 14580.024096 \n", "Wisconsin 23946.200803 \n", "Wyoming 4035.172691 " ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "guns.groupby(\"state\").mean()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "If we only wanted to see the `handgun` column, we can use:\n" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "state\n", "Alabama 9594.309237\n", "Alaska 1984.204819\n", "Arizona 8273.064257\n", "Arkansas 4383.136546\n", "California 27043.911647\n", "Colorado 11789.751004\n", "Connecticut 3985.469880\n", "Delaware 982.244980\n", "District of Columbia 26.212851\n", "Florida 28192.108434\n", "Georgia 9737.265060\n", "Guam 39.453815\n", "Hawaii 0.012048\n", "Idaho 2245.502008\n", "Illinois 11713.690763\n", "Indiana 10437.016064\n", "Iowa 88.674699\n", "Kansas 4240.040161\n", "Kentucky 7928.016064\n", "Louisiana 8131.943775\n", "Maine 2039.405622\n", "Mariana Islands 1.725000\n", "Maryland 2784.779116\n", "Massachusetts 3054.088353\n", "Michigan 4706.389558\n", "Minnesota 5401.955823\n", "Mississippi 5477.935743\n", "Missouri 11379.746988\n", "Montana 2122.682731\n", "Nebraska 62.473896\n", "Nevada 3477.510040\n", "New Hampshire 2732.510040\n", "New Jersey 2684.883534\n", "New Mexico 3719.072289\n", "New York 4762.939759\n", "North Carolina 745.192771\n", "North Dakota 981.008032\n", "Ohio 17297.096386\n", "Oklahoma 8103.867470\n", "Oregon 7845.847390\n", "Pennsylvania 12672.759036\n", "Puerto Rico 813.682731\n", "Rhode Island 645.795181\n", "South Carolina 6339.634538\n", "South Dakota 1482.646586\n", "Tennessee 14706.518072\n", "Texas 30051.132530\n", "Utah 2599.995984\n", "Vermont 877.514056\n", "Virgin Islands 16.252101\n", "Virginia 13528.401606\n", "Washington 9695.200803\n", "West Virginia 4576.542169\n", "Wisconsin 7582.931727\n", "Wyoming 1290.742972\n", "Name: handgun, dtype: float64" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "guns.groupby(\"state\").mean()[\"handgun\"]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Other functions we can use with `groupby()` are:\n", "- `mean()` : Compute mean of groups\n", "- `sum()` : Compute sum of group values\n", "- `size()` : Compute group sizes\n", "- `count()` : Compute count of group\n", "- `std()` : Standard deviation of groups\n", "- `var()` : Compute variance of groups\n", "- `describe()` : Generates descriptive statistics\n", "- `min()` : Compute min of group values\n", "- `max()` : Compute max of group values\n", "\n", "For example, what is the standard deviation of long gun background checks in all states?" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "state\n", "Alabama 6256.016364\n", "Alaska 834.361416\n", "Arizona 2265.085739\n", "Arkansas 3719.235508\n", "California 11150.800858\n", "Colorado 4239.974378\n", "Connecticut 1669.690125\n", "Delaware 547.599724\n", "District of Columbia 13.544048\n", "Florida 7886.025047\n", "Georgia 5257.225511\n", "Guam 16.457430\n", "Hawaii 1.796143\n", "Idaho 1255.693264\n", "Illinois 4011.857865\n", "Indiana 4879.102579\n", "Iowa 1708.625459\n", "Kansas 2437.696936\n", "Kentucky 4267.402826\n", "Louisiana 5591.272570\n", "Maine 1368.328564\n", "Mariana Islands 3.476999\n", "Maryland 1809.001710\n", "Massachusetts 962.291575\n", "Michigan 5152.343649\n", "Minnesota 4159.232730\n", "Mississippi 4625.631307\n", "Missouri 5214.242567\n", "Montana 1199.965721\n", "Nebraska 1158.407501\n", "Nevada 1009.821660\n", "New Hampshire 899.326828\n", "New Jersey 1069.639431\n", "New Mexico 1205.862382\n", "New York 5066.567521\n", "North Carolina 6000.664605\n", "North Dakota 1050.881381\n", "Ohio 6383.010814\n", "Oklahoma 3813.430181\n", "Oregon 2662.962984\n", "Pennsylvania 20289.163898\n", "Puerto Rico 54.331055\n", "Rhode Island 236.903708\n", "South Carolina 2912.596148\n", "South Dakota 1453.011973\n", "Tennessee 6031.694587\n", "Texas 14198.500402\n", "Utah 1741.314944\n", "Vermont 451.444895\n", "Virgin Islands 2.400087\n", "Virginia 5290.445741\n", "Washington 3388.672472\n", "West Virginia 2859.061132\n", "Wisconsin 4077.154294\n", "Wyoming 565.063278\n", "Name: long_gun, dtype: float64" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "guns.groupby(\"state\").std()[\"long_gun\"]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Notice that the output of `guns.groupby(\"state\").mean()[\"handgun\"]` looks a lot like the output of `value_counts()`. We can use it to make a bar plot. Try it below." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "guns.groupby(\"state\").mean()[\"handgun\"].plot.bar()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
Answer:\n", "guns.groupby(\"state\").mean()[\"handgun\"].plot.bar()\n", "
\n", "\n", "We can also use `groupby` for dates. For example, to sum by month:" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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\n", "
" ], "text/plain": [ " permit permit_recheck handgun long_gun other multiple \\\n", "month \n", "1 9104701.0 550639.0 7521763.0 7922333.0 251908.0 313062 \n", "2 8736399.0 409420.0 8831798.0 8560378.0 258365.0 405030 \n", "3 10214291.0 757439.0 8901304.0 9104493.0 294471.0 364035 \n", "4 8895257.0 794912.0 7221856.0 7421223.0 238357.0 307035 \n", "5 8153787.0 994943.0 6418244.0 6199941.0 211586.0 305536 \n", "6 7714185.0 1156049.0 6255008.0 6135439.0 234675.0 307729 \n", "7 7578905.0 1097698.0 6123608.0 6212794.0 222483.0 279641 \n", "8 7097222.0 377420.0 6045375.0 7886120.0 182984.0 267264 \n", "9 6859211.0 360873.0 5817370.0 8931343.0 180756.0 267379 \n", "10 7623784.0 410781.0 6366987.0 10359577.0 215943.0 287430 \n", "11 7323889.0 462654.0 7183337.0 12386318.0 250535.0 340084 \n", "12 8099796.0 469698.0 9735301.0 15301378.0 365549.0 378067 \n", "\n", " admin prepawn_handgun prepawn_long_gun prepawn_other \\\n", "month \n", "1 59382.0 5184.0 8444.0 158.0 \n", "2 63687.0 5397.0 8252.0 168.0 \n", "3 61085.0 5015.0 7313.0 149.0 \n", "4 51294.0 4631.0 6541.0 179.0 \n", "5 48895.0 4669.0 6389.0 123.0 \n", "6 48932.0 4682.0 6352.0 132.0 \n", "7 80145.0 4890.0 6724.0 122.0 \n", "8 51331.0 4677.0 6732.0 87.0 \n", "9 61795.0 4777.0 6769.0 99.0 \n", "10 78835.0 4839.0 7781.0 135.0 \n", "11 70315.0 4952.0 9248.0 145.0 \n", "12 89841.0 5215.0 8681.0 160.0 \n", "\n", " redemption_handgun redemption_long_gun redemption_other \\\n", "month \n", "1 421032.0 552064.0 1264.0 \n", "2 593138.0 804276.0 1411.0 \n", "3 421727.0 547466.0 1269.0 \n", "4 370247.0 467285.0 1051.0 \n", "5 391436.0 453335.0 1045.0 \n", "6 407495.0 466442.0 1129.0 \n", "7 412913.0 483885.0 1068.0 \n", "8 403916.0 543747.0 994.0 \n", "9 406238.0 596294.0 1025.0 \n", "10 420475.0 704811.0 1154.0 \n", "11 408530.0 748023.0 1072.0 \n", "12 402691.0 528954.0 1216.0 \n", "\n", " returned_handgun returned_long_gun returned_other rentals_handgun \\\n", "month \n", "1 12029.0 2816.0 270.0 39.0 \n", "2 11915.0 2880.0 331.0 26.0 \n", "3 14149.0 3228.0 388.0 30.0 \n", "4 14063.0 3234.0 421.0 20.0 \n", "5 14676.0 3171.0 463.0 31.0 \n", "6 14162.0 3121.0 374.0 25.0 \n", "7 14441.0 3045.0 354.0 23.0 \n", "8 10895.0 2458.0 253.0 20.0 \n", "9 9808.0 2360.0 217.0 33.0 \n", "10 11250.0 2769.0 251.0 29.0 \n", "11 10480.0 2703.0 225.0 22.0 \n", "12 9759.0 2379.0 263.0 18.0 \n", "\n", " rentals_long_gun private_sale_handgun private_sale_long_gun \\\n", "month \n", "1 26.0 7410.0 5693.0 \n", "2 26.0 8098.0 6272.0 \n", "3 27.0 9627.0 7701.0 \n", "4 32.0 8163.0 6710.0 \n", "5 23.0 7583.0 5515.0 \n", "6 23.0 8117.0 6012.0 \n", "7 18.0 6651.0 4812.0 \n", "8 11.0 5593.0 4733.0 \n", "9 20.0 5894.0 5478.0 \n", "10 25.0 6696.0 6110.0 \n", "11 24.0 6472.0 6002.0 \n", "12 20.0 7677.0 6578.0 \n", "\n", " private_sale_other return_to_seller_handgun \\\n", "month \n", "1 721.0 216.0 \n", "2 750.0 221.0 \n", "3 984.0 262.0 \n", "4 769.0 253.0 \n", "5 560.0 217.0 \n", "6 824.0 258.0 \n", "7 666.0 236.0 \n", "8 496.0 231.0 \n", "9 523.0 210.0 \n", "10 577.0 234.0 \n", "11 662.0 192.0 \n", "12 795.0 235.0 \n", "\n", " return_to_seller_long_gun return_to_seller_other totals \n", "month \n", "1 226.0 17.0 26741397 \n", "2 225.0 36.0 28708499 \n", "3 248.0 34.0 30716735 \n", "4 260.0 35.0 25813828 \n", "5 258.0 38.0 23222464 \n", "6 267.0 37.0 22771469 \n", "7 248.0 25.0 22535395 \n", "8 216.0 33.0 22892808 \n", "9 235.0 31.0 23518738 \n", "10 251.0 25.0 26510749 \n", "11 251.0 24.0 29216159 \n", "12 228.0 43.0 35414542 " ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "guns.groupby(guns[\"month\"].dt.month).sum()" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "guns.groupby(guns[\"month\"].dt.month).sum()[[\"handgun\",\"long_gun\"]].plot.bar()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Which month has the most background checks for long guns? For handgruns?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Seaborn plotting\n", "\n", "[Seaborn](https://seaborn.pydata.org) is a Python package for creating beautiful plots.\n", "\n", "For example, suppose we want to make a scatter plot but use size and color to add more information to the plot.\n", "\n", "In Pandas, make a scatter plot with number of handgun background checks on the x axis and number of long gun background checks on the y axis." ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "guns.plot.scatter(x = \"handgun\", y = \"long_gun\")\n", "plt.title(\"Handgun vs Long gun background checks\")\n", "plt.xlabel(\"# of handgun background checks\")\n", "plt.ylabel(\"# of long gun background checks\")\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To make the same plot in Seaborn, we use the code:" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5,1,'Handgun vs long gun background checks')" ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.relplot(x =\"handgun\", y = \"long_gun\", data = guns)\n", "plt.title(\"Handgun vs long gun background checks\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To color the points by the state:" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.relplot(x =\"handgun\", y = \"long_gun\", hue = \"state\", data = guns)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This plot is a little hard to interpret, so let's make a smaller dataset with only 5 states (whichever 5 you would like)." ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [], "source": [ "state_filter = (guns[\"state\"] == \"New York\") | (guns[\"state\"] == \"Connecticut\") | (guns[\"state\"] == \"Arkansas\") | (guns[\"state\"] == \"New Hampshire\") | (guns[\"state\"] == \"New Jersey\")" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [], "source": [ "guns5 = guns[state_filter]" ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 33, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.relplot(x = \"handgun\", y = \"long_gun\", hue = \"state\", alpha = 0.5, data = guns5)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To size the circles by the total number of permit checks made that month:" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.relplot(x =\"handgun\", y = \"long_gun\", hue = \"state\", size = \"permit\", data = guns5)" ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 37, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.jointplot(x = \"handgun\",y = \"long_gun\",kind = \"hex\",data = guns)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "There are some large hand gun and long gun background check values. What state are they from?\n", "\n", "What are the maximum values in the `handgun` and `long_gun` columns?" ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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permitpermit_recheckhandgunlong_gunothermultipleadminprepawn_handgunprepawn_long_gunprepawn_otherredemption_handgunredemption_long_gunredemption_otherreturned_handgunreturned_long_gunreturned_otherrentals_handgunrentals_long_gunprivate_sale_handgunprivate_sale_long_gunprivate_sale_otherreturn_to_seller_handgunreturn_to_seller_long_gunreturn_to_seller_othertotals
count13671.0000002310.00000013675.00000013676.0000006710.00000013695.00000013672.00000011752.00000011750.0000006325.00000011755.00000011754.0000006325.0000003410.0000003355.0000003025.0000002200.0000002035.0000003960.0000003960.0000003960.0000003685.0000003960.0000003465.00000013695.000000
mean7124.6746403395.0329006319.7039127781.612825433.325186279.10127855.9930515.0142957.5937020.261976430.441344586.7434062.16569243.29237510.1830101.2595040.1436360.13513522.21742418.0848482.1027780.7503390.7356060.10909123224.737714
std26866.56352625773.3008629071.4928339164.0979981311.931747772.408998583.03948711.13607015.8963321.155721824.669047931.4447785.122725109.44849024.5065174.6573490.9861730.86156892.16642672.8433148.2619283.7499303.0899690.41436537184.717655
min0.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.000000
25%0.0000000.000000964.0000002107.00000022.00000014.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000004796.000000
50%678.0000000.0000003280.0000005127.500000149.000000130.0000000.0000000.0000001.0000000.00000048.000000175.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.00000012853.000000
75%4955.0000009.0000007793.00000010402.250000435.750000310.0000000.0000005.0000008.0000000.000000585.000000850.7500002.00000033.0000007.0000000.0000000.0000000.0000009.00000010.0000001.0000000.0000000.0000000.00000026834.500000
max522188.000000405293.000000107224.000000108058.00000077929.00000038907.00000028083.000000164.000000269.00000049.00000010046.0000008831.00000079.0000001031.000000170.00000073.00000013.00000012.0000001299.000000993.000000195.00000070.00000056.0000004.000000541978.000000
\n", "
" ], "text/plain": [ " permit permit_recheck handgun long_gun \\\n", "count 13671.000000 2310.000000 13675.000000 13676.000000 \n", "mean 7124.674640 3395.032900 6319.703912 7781.612825 \n", "std 26866.563526 25773.300862 9071.492833 9164.097998 \n", "min 0.000000 0.000000 0.000000 0.000000 \n", "25% 0.000000 0.000000 964.000000 2107.000000 \n", "50% 678.000000 0.000000 3280.000000 5127.500000 \n", "75% 4955.000000 9.000000 7793.000000 10402.250000 \n", "max 522188.000000 405293.000000 107224.000000 108058.000000 \n", "\n", " other multiple admin prepawn_handgun \\\n", "count 6710.000000 13695.000000 13672.000000 11752.000000 \n", "mean 433.325186 279.101278 55.993051 5.014295 \n", "std 1311.931747 772.408998 583.039487 11.136070 \n", "min 0.000000 0.000000 0.000000 0.000000 \n", "25% 22.000000 14.000000 0.000000 0.000000 \n", "50% 149.000000 130.000000 0.000000 0.000000 \n", "75% 435.750000 310.000000 0.000000 5.000000 \n", "max 77929.000000 38907.000000 28083.000000 164.000000 \n", "\n", " prepawn_long_gun prepawn_other redemption_handgun \\\n", "count 11750.000000 6325.000000 11755.000000 \n", "mean 7.593702 0.261976 430.441344 \n", "std 15.896332 1.155721 824.669047 \n", "min 0.000000 0.000000 0.000000 \n", "25% 0.000000 0.000000 0.000000 \n", "50% 1.000000 0.000000 48.000000 \n", "75% 8.000000 0.000000 585.000000 \n", "max 269.000000 49.000000 10046.000000 \n", "\n", " redemption_long_gun redemption_other returned_handgun \\\n", "count 11754.000000 6325.000000 3410.000000 \n", "mean 586.743406 2.165692 43.292375 \n", "std 931.444778 5.122725 109.448490 \n", "min 0.000000 0.000000 0.000000 \n", "25% 0.000000 0.000000 0.000000 \n", "50% 175.000000 0.000000 0.000000 \n", "75% 850.750000 2.000000 33.000000 \n", "max 8831.000000 79.000000 1031.000000 \n", "\n", " returned_long_gun returned_other rentals_handgun rentals_long_gun \\\n", "count 3355.000000 3025.000000 2200.000000 2035.000000 \n", "mean 10.183010 1.259504 0.143636 0.135135 \n", "std 24.506517 4.657349 0.986173 0.861568 \n", "min 0.000000 0.000000 0.000000 0.000000 \n", "25% 0.000000 0.000000 0.000000 0.000000 \n", "50% 0.000000 0.000000 0.000000 0.000000 \n", "75% 7.000000 0.000000 0.000000 0.000000 \n", "max 170.000000 73.000000 13.000000 12.000000 \n", "\n", " private_sale_handgun private_sale_long_gun private_sale_other \\\n", "count 3960.000000 3960.000000 3960.000000 \n", "mean 22.217424 18.084848 2.102778 \n", "std 92.166426 72.843314 8.261928 \n", "min 0.000000 0.000000 0.000000 \n", "25% 0.000000 0.000000 0.000000 \n", "50% 0.000000 0.000000 0.000000 \n", "75% 9.000000 10.000000 1.000000 \n", "max 1299.000000 993.000000 195.000000 \n", "\n", " return_to_seller_handgun return_to_seller_long_gun \\\n", "count 3685.000000 3960.000000 \n", "mean 0.750339 0.735606 \n", "std 3.749930 3.089969 \n", "min 0.000000 0.000000 \n", "25% 0.000000 0.000000 \n", "50% 0.000000 0.000000 \n", "75% 0.000000 0.000000 \n", "max 70.000000 56.000000 \n", "\n", " return_to_seller_other totals \n", "count 3465.000000 13695.000000 \n", "mean 0.109091 23224.737714 \n", "std 0.414365 37184.717655 \n", "min 0.000000 0.000000 \n", "25% 0.000000 4796.000000 \n", "50% 0.000000 12853.000000 \n", "75% 0.000000 26834.500000 \n", "max 4.000000 541978.000000 " ] }, "execution_count": 38, "metadata": {}, "output_type": "execute_result" } ], "source": [ "guns.describe()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's find a row containing the median handgun value 3280:" ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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monthstatepermitpermit_recheckhandgunlong_gunothermultipleadminprepawn_handgunprepawn_long_gunprepawn_otherredemption_handgunredemption_long_gunredemption_otherreturned_handgunreturned_long_gunreturned_otherrentals_handgunrentals_long_gunprivate_sale_handgunprivate_sale_long_gunprivate_sale_otherreturn_to_seller_handgunreturn_to_seller_long_gunreturn_to_seller_othertotals
77722007-10-01Kansas0.0NaN3280.06405.0NaN1960.00.02.0NaN254.0484.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN10621
\n", "
" ], "text/plain": [ " month state permit permit_recheck handgun long_gun other \\\n", "7772 2007-10-01 Kansas 0.0 NaN 3280.0 6405.0 NaN \n", "\n", " multiple admin prepawn_handgun prepawn_long_gun prepawn_other \\\n", "7772 196 0.0 0.0 2.0 NaN \n", "\n", " redemption_handgun redemption_long_gun redemption_other \\\n", "7772 254.0 484.0 NaN \n", "\n", " returned_handgun returned_long_gun returned_other rentals_handgun \\\n", "7772 NaN NaN NaN NaN \n", "\n", " rentals_long_gun private_sale_handgun private_sale_long_gun \\\n", "7772 NaN NaN NaN \n", "\n", " private_sale_other return_to_seller_handgun return_to_seller_long_gun \\\n", "7772 NaN NaN NaN \n", "\n", " return_to_seller_other totals \n", "7772 NaN 10621 " ] }, "execution_count": 39, "metadata": {}, "output_type": "execute_result" } ], "source": [ "guns.loc[guns[\"handgun\"] == 3280]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now find the rows containing the maximum handgun and long_gun values." ] }, { "cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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monthstatepermitpermit_recheckhandgunlong_gunothermultipleadminprepawn_handgunprepawn_long_gunprepawn_otherredemption_handgunredemption_long_gunredemption_otherreturned_handgunreturned_long_gunreturned_otherrentals_handgunrentals_long_gunprivate_sale_handgunprivate_sale_long_gunprivate_sale_otherreturn_to_seller_handgunreturn_to_seller_long_gunreturn_to_seller_othertotals
24112015-12-01Texas33163.0NaN107224.080247.04585.045050.047.038.01.06643.05168.036.01.00.02.0NaNNaN60.052.012.01.05.01.0241791
\n", "
" ], "text/plain": [ " month state permit permit_recheck handgun long_gun other \\\n", "2411 2015-12-01 Texas 33163.0 NaN 107224.0 80247.0 4585.0 \n", "\n", " multiple admin prepawn_handgun prepawn_long_gun prepawn_other \\\n", "2411 4505 0.0 47.0 38.0 1.0 \n", "\n", " redemption_handgun redemption_long_gun redemption_other \\\n", "2411 6643.0 5168.0 36.0 \n", "\n", " returned_handgun returned_long_gun returned_other rentals_handgun \\\n", "2411 1.0 0.0 2.0 NaN \n", "\n", " rentals_long_gun private_sale_handgun private_sale_long_gun \\\n", "2411 NaN 60.0 52.0 \n", "\n", " private_sale_other return_to_seller_handgun return_to_seller_long_gun \\\n", "2411 12.0 1.0 5.0 \n", "\n", " return_to_seller_other totals \n", "2411 1.0 241791 " ] }, "execution_count": 40, "metadata": {}, "output_type": "execute_result" } ], "source": [ "guns.loc[guns[\"handgun\"] == 107224]" ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
monthstatepermitpermit_recheckhandgunlong_gunothermultipleadminprepawn_handgunprepawn_long_gunprepawn_otherredemption_handgunredemption_long_gunredemption_otherreturned_handgunreturned_long_gunreturned_otherrentals_handgunrentals_long_gunprivate_sale_handgunprivate_sale_long_gunprivate_sale_otherreturn_to_seller_handgunreturn_to_seller_long_gunreturn_to_seller_othertotals
43912012-12-01Texas12389.0NaN98886.0108058.03699.052930.037.049.00.05761.05767.017.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN239956
\n", "
" ], "text/plain": [ " month state permit permit_recheck handgun long_gun other \\\n", "4391 2012-12-01 Texas 12389.0 NaN 98886.0 108058.0 3699.0 \n", "\n", " multiple admin prepawn_handgun prepawn_long_gun prepawn_other \\\n", "4391 5293 0.0 37.0 49.0 0.0 \n", "\n", " redemption_handgun redemption_long_gun redemption_other \\\n", "4391 5761.0 5767.0 17.0 \n", "\n", " returned_handgun returned_long_gun returned_other rentals_handgun \\\n", "4391 NaN NaN NaN NaN \n", "\n", " rentals_long_gun private_sale_handgun private_sale_long_gun \\\n", "4391 NaN NaN NaN \n", "\n", " private_sale_other return_to_seller_handgun return_to_seller_long_gun \\\n", "4391 NaN NaN NaN \n", "\n", " return_to_seller_other totals \n", "4391 NaN 239956 " ] }, "execution_count": 41, "metadata": {}, "output_type": "execute_result" } ], "source": [ "guns.loc[guns[\"long_gun\"] == guns[\"long_gun\"].max()]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Challenges\n", "\n", "- make a hexagonal plot of just the Texas handgun vs. long_gun background check numbers\n", "- choose another Seaborn plot from the [gallery](https://seaborn.pydata.org/examples/index.html). Can you make it with using background check data?" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.4.8" } }, "nbformat": 4, "nbformat_minor": 2 }