{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Pairplotr introduction\n", "Here I introduce pairplotr, a tool I developed to do pairwise plots of features, including mixtures of numerical and categorical ones, starting from a cleaned Pandas dataframe with neither missing data nor data id columns. \n", "\n", "This demo imports an already cleaned Titanic dataset and demonstrates certain features of pyplotr." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Plot description\n", "Plot details vary according to whether they are on- or off-diagonal and whether the intersecting rows and columns correspond to numerical or categorical variables.\n", "\n", "All descriptions assume the first row/column has index 1.\n", "\n", "Here's a description of the types of subplot encountered:\n", "\n", "- On-diagonal:\n", " - Categorical feature:\n", " - Horizontal bar chart of the counts of each feature value colored according to that value.\n", " - It, along with y-tick labels on the left of the grid, acts as a legend for the row feature values.\n", " - See example below for how this works.\n", " - Numerical feature:\n", " - Histogram of feature.\n", "- Off-diagonal:\n", " - Categorical feature row and categorical feature column.\n", " - Horizontal stacked bar chart of row feature for each value of the column feature and colored accordingly.\n", " - Categorical feature row and Numerical feature column.\n", " - Overlapping histograms of column feature for each value of the row feature and colored accordingly.\n", " - Numerical feature row and Numerical feature column.\n", " - Scatter plot of row feature veruss column feature.\n", " - Optionally, colored by a feature dictated by scatter_plot_filter keyword argument.\n", " \n", "# Import dependencies" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [], "source": [ "%matplotlib inline\n", "\n", "import sys\n", "\n", "import pairplotr.pairplotr as ppr\n", "\n", "import pandas as pd\n", "import numpy as np\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Unpickle data" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [], "source": [ "df = pd.read_pickle('trimmed_titanic_data.pkl')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Inspect data" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 891 entries, 0 to 890\n", "Data columns (total 9 columns):\n", "Survived 891 non-null int64\n", "Pclass 891 non-null int64\n", "Sex 891 non-null object\n", "Age 891 non-null float64\n", "SibSp 891 non-null int64\n", "Parch 891 non-null int64\n", "Fare 891 non-null float64\n", "Embarked 891 non-null object\n", "Title 891 non-null object\n", "dtypes: float64(2), int64(4), object(3)\n", "memory usage: 62.7+ KB\n" ] } ], "source": [ "df.info()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Note, how the data has no missing values. This is required for the current version of pairplotr." ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "
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SurvivedPclassSexAgeSibSpParchFareEmbarkedTitle
003male22.000000107.2500SMr
111female38.0000001071.2833CMrs
213female26.000000007.9250SMiss
311female35.0000001053.1000SMrs
403male35.000000008.0500SMr
503male35.050324008.4583QMr
601male54.0000000051.8625SMr
703male2.0000003121.0750SChild
813female27.0000000211.1333SMrs
912female14.0000001030.0708CMrs
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" ], "text/plain": [ " Survived Pclass Sex Age SibSp Parch Fare Embarked Title\n", "0 0 3 male 22.000000 1 0 7.2500 S Mr\n", "1 1 1 female 38.000000 1 0 71.2833 C Mrs\n", "2 1 3 female 26.000000 0 0 7.9250 S Miss\n", "3 1 1 female 35.000000 1 0 53.1000 S Mrs\n", "4 0 3 male 35.000000 0 0 8.0500 S Mr\n", "5 0 3 male 35.050324 0 0 8.4583 Q Mr\n", "6 0 1 male 54.000000 0 0 51.8625 S Mr\n", "7 0 3 male 2.000000 3 1 21.0750 S Child\n", "8 1 3 female 27.000000 0 2 11.1333 S Mrs\n", "9 1 2 female 14.000000 1 0 30.0708 C Mrs" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.head(10)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Additionally, the data must have no fields that could be considered an id. For instance, the Titanic survival dataset had a PassengerId field that I removed. The reason for this is to avoid a high number of categorical feature values that causes the code to slow to a crawl. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Set categorical features as that type\n", "The first step, starting from squeaky clean data, is to set categorical features as such:" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 891 entries, 0 to 890\n", "Data columns (total 9 columns):\n", "Survived 891 non-null category\n", "Pclass 891 non-null category\n", "Sex 891 non-null category\n", "Age 891 non-null float64\n", "SibSp 891 non-null category\n", "Parch 891 non-null category\n", "Fare 891 non-null float64\n", "Embarked 891 non-null category\n", "Title 891 non-null category\n", "dtypes: category(7), float64(2)\n", "memory usage: 20.3 KB\n" ] } ], "source": [ "visualize_df = df.copy()\n", "\n", "categorical_features = ['Survived','Pclass','Sex','Embarked','Title','Parch','SibSp']\n", "\n", "for feature in categorical_features:\n", " visualize_df[feature] = visualize_df[feature].astype('category')\n", " \n", "visualize_df.info()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Note, Parch and SibSp are numerical, though I find it easier to visualize them as categories because there are so few values for them (max 8).\n", "\n", "Now that the desired types have been stored in a dictionary we can move on to graphing the pair plot." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Example pairplot and interpretation\n", "To plot all pair-wise features simply run the compare_data() method like this:" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false, "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 8.23 s, sys: 161 ms, total: 8.39 s\n", "Wall time: 8.57 s\n" ] }, { "data": { "image/png": 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hoYH9+/ffFlMHAQDAhtHqyNHrs/hq9c8nuS/J77QcEQBAl42Pj5+Zf0s/AACw8bS6INNP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XFUPXI0hNABnAXMA0Lx8Rjjf5xEXLNCCOFM4APA1hjj3clGI0mSJEmSJClfVcXREMLrgd8EMpQo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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "%%time\n", "ppr.compare_data(visualize_df,fig_size=16)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can also select specific features to graph using the plot_vars keyword argument:" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 2.18 s, sys: 36.2 ms, total: 2.22 s\n", "Wall time: 2.24 s\n" ] }, { "data": { "image/png": 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dgPEqpexL8g+TfCrJrUm+leRDSV6W5JYkX0/yr5M8leTvJDmYZHeSLyX5pVrr\nExcc74okP5xkZuM1R2utn92U3wwAAAAA0JWVwiTJlUl2JfnJJJ9O8o4kf5LkJ5KcSHI4yWySJ5O8\nM8n/svG61z3Dsf7bJKeyXjT/qySzpZQXjS46AAAAANAPpTBJUpP8Tq21Jvlikm/WWj9Ta11L8mDW\nS+MjSX4z6+XxvqyvAt5z/kFKKXuSXJ/kSK11rdb6aJLPJDm0ab8TAAAAAOA52T6CJEmt9fTGL9eS\nPH3+m7L+w4PprG8fsS/Jo0kmknzzgsNMJylJ3ldKycavS9aLZQAAAABgC1AK06v/Lsknaq3/X5KU\nUt6a5NILZp5I8q1a60+ce2Jjj+G1TUsJAAAAADwn20eQrK/m7ebSJCtJUkq5Nskrsr6VxLfVWh9P\ncqKU8kOllF2llCuzvi/xK4ecFwAAAAAYkJXCJOtbRHTzq0neUkr5u0m+luQPknzvM8z9Yta3mXh/\n1lcI35vkd4aUEwAAAAC4SErhhqu1Lid5+3mPH0ryrvMefybrN4tLks9f8PK5jZmfPW/+VJJ/Naq8\nAAAAAMDFsX0EAAAAAECDKIUBAAAAABpEKQwAAAAA0CBKYQAAAACABlEKAwAAAAA0iFIYAAAAAKBB\nlMIAAAAAAA2iFAYAAAAAaBClMAAAAABAgyiFAQAAAAAaRCkMAAAAANAgSmEAAAAAgAZRCgMAAAAA\nNIhSGAAAAACgQZTCAAAAAAANohQGAAAAAGgQpTAAAAAAQIMohQEAAAAAGkQpDAAAAADQIEphAAAA\nAIAGUQoDAAAAADSIUhgAAAAAoEGUwgAAAAAADaIUBgAAAABoEKUwAAAAAECDtMcdAAAAANg6Wq1W\nklzXx0vmk6yOJg0Ao6AUBgAAAL5tenp6Ym5u7q7FxcXT3WY7nc7k7Ozs4ST3bUI0AIZEKQwAAAD8\nJcvLy6sLCwsr484BwGjYUxgAAAAAoEGUwgAAAAAADaIUBgAAAABoEKUwAAAAAECDKIUBAAAAABpE\nKQwAAAAA0CBKYQAAAACABlEKAwAAAAA0iFIYAAAAAKBBlMIAAAAAAA3SHncAAAAAIEkykWSmj/n5\nJKsjygLADqYUBgAAgK1h5siRI8eWlpZWug12Op3J2dnZw0nu24RcAOwwSmEAAADYIpaWllYWFha6\nlsIAcDHsKQwAAAAA0CBWCrOlzCST487wbA4kE/v27cva2tqWzQgX6nQ62+rjdbvlha1s251Pe2a2\nbt7LD0xpf/JfAAAgAElEQVRcn+TMFv465UK+bmHbXQMAgE01UClcSrm81vrUc7z9r9RaHxk8Fk11\nd3J43BmeQztvfnOSnBl3ENipNvbFA5rolXdv5fO//cH1/2+nrwF83QIAwLMadKXw/1ZK+UCt9YHz\nnyyltJO8Kcnrk7zjYsPRSG6SAM3mGgDN5fwH6EOr1UqS6/p4ST+zAOxwg5bCX03yD0opv5/kN2ut\nZ0opL0ryI0m+O8k9wwgHAAAAfKfp6emJubm5uxYXF0/3Mn/ttdde1mq1VpO4iR0Ag5XCtdafLaW8\nPsmbk1xfSnkwyWuSfCXJe2utJ4aYEQAAALjA8vLy6sLCQk8lb6fTmRh1HgC2j4FvNFdrvaeU8rUk\n/1OS/VkvhN9fa7VvGQAAAADAFtUa5EWllF2llDuSvD3JcpLfyXox/M5SysEh5gMAAAAAYIgGXSn8\nj7K+d/Cnsr6n8LdKKZ9J8qNJ/tdSyu/XWv/tsEICAAAAADAcA60UTjKR5Odrrb9aa/1WktRa/zzJ\ne5N8LMmrh5QPAAAAAIAhGnSl8P9+rgw+X611LcnRUsoXLi4WAAAAAACjMFApfK4QLqV8X5LvTXJl\nkrkkL0zyZ7XWrwwtIQAAAAAAQzNQKVxKmcz6Tea+N8k3k1yS5BNJXpPkhaWUf1ZrXRhaSgAAAAAA\nhmLQPYXflORAkp9L8hNJysbzv5zkZJI3Xnw0AAAAAACGbdBS+JYkc7XWB89/stb6RJKPJ3nxxQYD\nAAAAAGD4Bi2FL0uy/CxvO5317SQAAAAAANhiBi2FH03y8md5219N8ucDHhcAAAAAgBEa6EZzWd8i\n4u2llN1J/jhJTfKSUsork/xXSf7NkPIBAAAAADBEA5XCtdYvlFL+7yRvTvJ9G0//10m+keRDtdY/\nGlI+AAAAAACGaNCVwqm1fi7J50opVyfZnfWtKB6ttZ4eVjgAAAAAAIarr1K4lPKiJLcnOV5rvXfj\n6Zcmmd041plSykdqrb89zJAAAAAAAAxHz6VwKeUFSX4yyVNJPr3x3IEkb03y1SQfTvK8JG8qpTxW\na/3C8OMCAAAAAHAx+lkp/INJvpLk52qtKxvP3brx/1+qtX4lyRdKKVNJXp9EKQwAAAAAsMW0+pi9\nLsk95xXCyfrWEUsbhfA59ye5ZhjhAAAAAAAYrn5WCl+e5OS5B6WU52X9BnP/8YK5lT6PC+e7cdwB\ndqBz5+OZMbzv+SSrY3i/bF+uATuLawD92Mzzf5yfGy+0lbIMk/MfAGAL66e8fSrJFec9vj5JzfoX\nfOfbn+TJi8xFQ92ZHJtf/8ECQ3Jbctktc3NZXFw8vZnvt9PpTM7Ozh5Oct9mvl+2N9eAnWMmmbw7\ncQ2gd5++81hOzW/O+b//tsvedtN7cn+yqZ8bn8m4Pk+Pkq8BAAC2vn5K4YeSvLqU8vkkJcmrsr6i\n4f5zA6WUdpLXJnl4iBlpkPlk5bhCaKhmkomDy8tZWFjw58qW5xoADXZqfiVfP7455/+emYkHk2yF\n643P0wA03aWXXjoxNTXVUz/VbrcnRp0HmqKfUvjjSX4qyT/eeLwvydFa69NJUkp5ZdYL4auT/PIQ\nMwIAAACwA/3Jy19+3ade9rJdvcy+pN1+1U2jDgQN0XMpXGv981LKP03yhiR7knyi1vrJ80bemGQt\nyV211hPDjQkAAADATvPFWus9rVbpZfat670TMAR93RCu1rqQ5Fee5c3vTfJErbVedCoAAAAAAEai\nr1L4udRaTw7rWAAAAAAAjEZr3AEAAAAAANg8SmEAAAAAgAYZ2vYRAAAAwEVpdzqdiV4Gp6am2idP\nnjwz6kAA7ExKYQAAANgaDn708OGrHzrTveudmZgod5w6tXTixIlNiAXATqMUBgAAgC3ikbW1PHD2\nbO02N9n27TwAg7OnMAAAAABAgyiFAQAAAAAaRCkMAAAAANAgSmEAAAAAgAZRCgMAAAAANIhSGAAA\nAACgQZTCAAAAAAAN0h53AAAAAGC0SinZt29fe21tbbLb7NTUVPvkyZNnNiMXAOOhFAYAAIAdbs+e\nPe27Dx3qPHTmTO02OzMxUe44dWrpxIkTmxENgDFQCgMAAEADPLK2Vh84e7ZrKTzZVhUA7HSu9AAA\nAMBAWq1WklzXx0vmk6yOJg0AvVIKAwAAAAOZnp6emJubu2txcfF0t9lOpzM5Ozt7OMl9mxANgOeg\nFAYAAAAGtry8vLqwsLAy7hwA9K417gAAAAAAAGwepTAAAAAAQIMohQEAAAAAGkQpDAAAAADQIEph\nAAAAAIAGUQoDAAAAADSIUhgAAAAAoEGUwgAAAAAADaIUBgAAAABokPa4AwAAAMAONpFkpsfZa3o9\n6K4kU1NT7f3790/2Mr97927f/wPwbT4pAAAAwOjM3Jkcm09Wug3+SLKn14MeKCUfOnRo7/wtt0z1\nMn/r5GTZtbaWJLXX9wHAzqUUBgAAgBGaT1aO91AK35as9nPcL9VaHzh7tqeSd6bWJCn9HB+Ancue\nwgAAAAAADaIUBgAAAABoENtHAAAAwOi0Z9ZvNtfV/qS9a9RpACBKYQAAABilg3/96NGrb3z88a6D\nV+3d2zrwutetfX4TQgHQbEphAAAAGKGlkyezsLzc9YZwV5TS003jAOBiKYUBAACAkWu1WklyXZ8v\nm0+yOvw0AM2mFAYAAABGbnp6emJubu6uxcXF073MdzqdydnZ2cNJ7htxNIDGUQrvUKWU25O8IcnX\na60/PcL385Ikb6u1vmtU7wMAAICdYXl5eXVhYWFl3DkAmk4pvHMdSvIrtdY/GncQAAAAAGDrUArv\nQKWUdybZl+RHSynPSzKZ5BVJSpLPJflwrXWtlPK2JKeSvDTJdye5P8nvJ/l7SfYk+WStdW7jmIeS\n3Jqkk+RbSY7VWn/vGd73y5PcnmR3koeS/Gqt9Ruj+90CAAAwLqWU7Nu3r722tjbZbXZqaqp98uTJ\nM5uRC4DnphTegWqt/6SU8p4kH0hybdY38n9Pkprkx5L8tST/z8b4K5L8H0m+meSnk0wneV+SK5O8\nq5TyyayXyW9J8v5a61dLKTcm+R9LKZ8+//2WUq7dmPv5JF9N8qYkP5LkX4zq9woAAMD47Nmzp333\noUOdh86cqd1mZyYmyh2nTi2dOHFiM6IB8ByUwjtbyfo2Er9Wa30ySUopH0/yt/MXpfDna63LG29b\nSHK81no6yelSyqkke5M8kuRnaq2Pl1L2JFlLsivJZRe8vx9I8qla61c2jveRJP+8lHKF1cIAAAA7\n0yNra/WBs2e7lsKTbRUEwFbhiryz1ayv/P2xUsraxnNl4/lznjrv12tJnr7g8bn515dSfiDJN5L8\n6XnHOt/eJK8opbz2vLef2cigFAYAANgGdmV9q4f9+/d33RJi9+7degWAbcjFe2crSZ5I8ou11i8n\nSSnlkqzv93tO15/mJrkl6/sO/6Na69OllEuTvPIZ5k4l+Wit9be/HaCUq5M8NmB+AAAANtmBUvKh\nQ4f2zt9yy1S32VsnJ8uutbWkt+8tAdgilMI7W03y2SR/s5Tyy0lWk/w3SS5J8n/2cZzLsr7id22j\nVP5bG8fedcHc55LcWUq5L8n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7kuxsP/zZ9v2PJXljki8keTaX6Ohd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kAAAg\nAElEQVTv8OHDR48dO7Z7krH79+//yK233vqzm70maAOVwgAAAAAALSIUBgAAAABoEaEwAAAAAECL\nCIUBAAAAAFpEKAwAAAAA0CJCYQAAAACAFhEKAwAAAAC0iFAYAAAAAKBFhMIAAAAAAC0iFAYAAAAA\naBGhMAAAAABAiwiFAQAAAABaRCgMAAAAANAiQmEAAAAAgBYRCgMAAAAAtMil814AAAAAMD9VVd2W\nZF+SI91u92hb1wDQJiqFAQAAoN32JdnbvLZ5DQCtIRQGAACAdjuS5HTz2uY1ALSG9hEAAADQYk27\nhrm2bNgOawBoE5XCAAAAAAAtolIYAAAAuCiDG8Ut0sZxi7RWgFkRCgMAALDj9QV/Z5LsyYIGgOMC\nzDmHm/0bxR0d8n47W6S1AsyE9hEAAAC0QS/4O5DzAeAi6g8wpzm32QY3ilukjeMWaa0AM6FSGAAA\ngDY4khKWrqapFJ7vcjas9xzD1j/u3KayURzAYhEKAwAAsOPtlNBy3HNss2dcpJYMi7RWgJnQPgIA\nAACYtUVqybBIawWYCZXCAAAAwExts6rlsRZprQCzIhQGAACABVFV1W1p+gY3YeY87n0mTV/mrV4D\nALMhFAYAAIDFMc/+t717357kgXFr6A+vm0N3Nq/3ziJInmc4DrAT6CkMAAAAi2Oe/W97916dYA39\n4fW+JDc3X/tmtJb++QGYkkphAAAAWBDz7H875b2PZG2l8PV9x2dhcH4AptCp63reawAAAACghQ4f\nPnz02LFjuycZu3///o/ceuutP7vZa4I20D4CAAAAAKBFhMIAAAAAAC2ipzAAAABcpKqqbkvT47bp\nvTvRuUVUVdVdSQ4kWe12uwfnvR4ApqdSGAAAAC7eviR7m9dpzi2iA0mWm1cAFpBQGAAAAC7ekSSn\nm9dpzi2i1SQnm1cAFlCnrut5rwEAAACYwixbUuy09hbTavvzz9vhw4ePHjt2bPckY/fv3/+RW2+9\n9Wc3e03QBnoKAwAAwJxcRCDZ35JiouvG3GvquTZwj5nYpPln9vwAi0L7CAAAAJifO5O8LcnPV1V1\ndxN6TmIjLSlG9TaeZXuLze6fvBnz77T2HgDrUikMAAAA8/cdmaJatamSnbaq9Ugz/5Hkgqrbe6ac\na6J7bILe/Geqqro7M6gY3uBnyRZbWlrK7t279yZ5wxSXPZzk7CYtCRaaUBgAAADm594kjyQ5k2RP\nNrFadUj4OfO2CZsdsPbmbwJhLR9a5Nprr73swQcf3P+xj33sTZOMX15evmxlZeWOJJ/Z5KXBQhIK\nAwAAwJzMuUp1s6t6N9Mir50NOn369LPHjx9/Zt7rgJ1AKAwAAAAttMhtExZ57QDbgY3mAAAAAABa\nRKUwAAAAtNDARnMLX3W7054HYDMJhQEAAGAb2Wi4uYHrRm40N2yucfNv4ZrHmfnGeQA7lVAYAAAA\ntpeNhpvTXjdus7Zhc42b/4JzEwa+U615nTltPgcwIaEwAAAAbKEJwtKNhpuzDEXPJLk9yeqE8w87\nN0ngO+2aR85p8zmAyQmFAQAAYGuNDUunCTeHBMyzqizek+SB5nVdvXtXVXVbVVV3p4S86wa+w65b\np43ERQXf+g4DFEJhAAAAWm0OQeEsK3onar8w4hk3o/K3f8w0zzfRc8ygGljfYYAIhQEAAGBLg8Jh\nweZFBNMXtHkYMdcFzzguYB1xrhcUnxms6u275zVJbm7WM02f4edC6IvYtO6uJAeSrHa73YMj7jdR\nID/tRnsAi0YoDAAAQNtthw3KRgbTw8LOPsPaPDw3V1VVvfdnmnMjn3G90LOv1cPdQ9bau+fNfeuZ\nuNq4P4QenL9/XX1zDAtrDyS5pHntfU53Nmu6PsnRKSqNx220d2dVVcJhYKEJhQEAAGi1bbJB2bCN\n3Xp+Lskrk7w858POcdf1h7G9IDPdbveeddawJkAdM25Y2Ns7tpomEF6n2nhcAD84pj+gTUaHtY8m\nuSLDP8NpjftcrxqyBoCFIhQGAACA+VtvY7d60usGqm6Tra2Cfmhc9ewkAfyQMcNC4mGB9OEh9743\nySOZ/vlHfq5DKpenphUFMG9CYQAAAOZqsD/tJt7nF5OsJDnU7Xbfs83mHFdB+7407SOGnLsmyduT\nHBo26ZRV0JMGqONaK8y8enbIMxxd5/xE59Yx8ucxo8pyG94BcyUUBgAAYN62KhxbSQlRV5LMJBSe\n1ZzrBJsH07SNGFJhekuSx5rXdY2rUJ0i7BzXPmKefZlnZgtaiuyozwtYPEJhAAAA5u10tiYcO5Sm\nqnebzznOYIXp/c39P7rB66c2LDDdzBB1J7Za2CZ9rIEWEwoDAAAwVxNsgDar+7wns6sQ3rQ519Gr\nMD3TtN3YneSDKdXC01y/SBWqY4Ps7RAab4c1AExDKAwAAAALom+zs7tTgtJkikrrRahQHRKwrhdk\njwyNtzCs1SMYWChCYQAAANhC/UFlc2gjoWUvKD3cf11VVXcl+ekkX0tyT+/ciHueSbKn7/WalN7E\nq00f4003IrRdE7D2B9kjxo8LjbcqrF3ECmygxYTCAAAAsLX6g8pkitByIBS9Z8i5X2jmu25gzmH3\nvD3JA32vb09pQ3EgzcZ205qmMrcZ++6USuf0rXWSkPfOqqr67zPqXlsS1i5CBXbbLC0tJcmNU1zy\ncJKzm7Ma2H6EwgAAALC1BoPKNaHlOsHquMrXfUm+mOSK5tyRvrnO9N27N3Y1pUL4/pQK4U8mWU6y\nOmwNTRXygTSVxIPv11tfVVX/Osn+JJ9K8vEk16cEwnv7n7+vRcZdVVW9u1nfY82Y3md31ZjPAbJ3\n795d99133/tPnDjx5Hpjl5eXL1tZWbkjyWe2YGmwLQiFAQAAYAsNqSqdJvg9k1LZu5pc0BaiF6z+\nUl+Q+1zv4YHK4v6WE+9NCVm/1O12/8HAdf1rOJASGvcqiQffJ+Mrc/cnuTrJW5NcmeRkkk9ndFVx\nb/6VlM309jXPcHRIO4znDJzb1r1+bVC3uU6dOnX2+PHjz8x7HbAdCYUBAADY8WYZvo2ooh05/+C5\nCdYyLljdk9LqYU/z/rnQsxeYjpjrTBP0Tvr8w9awmqYyeMT79dooHE4Jhk8meX6Sy9ZZT2/+j+Z8\npfAk9+kPgrd7r99tHVoDO5dQGAAAgDaYZfg2bK712jr0nxu7lil75I4NPftaMQyr/O25N8kjWSd0\nbVpEHBz1fj19Vcj9vYRH/jymnb/Pc5/JAvT63e6hNbBDCYUBAABog1mGb8PmGjf/VEHuOIMh5xSh\n58h7zik4/VLzOvMwdAGC4Ocs0lqBnUUoDAAAQJu8rqqqCzZ5G9XCYFirhxFVtFsS7k3TpmKz1jdt\nK44h4/cleSLJaX10AeZDKAwAAEAb3Jnk5pQ+tn+QEkwmpaXCnb2geEhIOYu2E4Nz9NZy/QbmnKZN\nxWZZ9z7rbPZ2QdXyOn2az6T0UN6yzdhsAAfsdEJhAAAA2uDaJK9IaVtwOmsrha/K6JBzoxu1DZtj\nolYJ6wSS07SpmGjODQSgk9zn+pRq4Ek3exsWlPfC5NtTNte76LB7ime1ARywowmFAQAAaINvJPlK\nkge73e49fcePDlS1JrkgPLynf6O2qqqSKULUIa0b7k/yyuZ1mDWB5JAgc7CS9ki32z26TouIcdXJ\nIwPQSdtnDJkracL3IeMnDVzPpATCJ5u1r44ZO6lJ7z2LPwasS0UyMC9CYQAAANrg3iSPpC/ka473\n2hMka/sND4ao/dWudye5rfn6qWTqcG9PSuXrnhHnBytrRwWZ07RxeMmYc73nHxaAThSi9s31A0ne\nlORTKZ/34PkjOR/29oe8vZ9PfzVx73O6OeM/rwvuMaYa+ppMEDD3guyqqt6bjbf6mISKZGAuhMIA\nAADsaAOBZH+gezQlkPvJJFcnqZN8NSUA7HlJE5Se6Tt2U5LlJN/dFzBPU207VTuJ/vEDz7JmnmE9\nePvW9fUkn05yTVVVv5kSit6SJnDtdrvv6quGvrOqqjube/eqmYdVUffucybJgZTK4L+V5PIkP5Tk\ndTkfnP98kluTfE+zjgeS7BmY6/rm3hn4nFb7nmfUZ5qMD1h75y4ImOdcrTvt78K6es8zUBEPsIZQ\nGAAAgJ2uPyz8viQvS/K8JL+bUrF6ZZJdzVdPr3L1tiRvS/LCJKdSgss/SwmRn+ybd9jmab+YZCXJ\n11KC0EmrQauUAPVYkh8daBnxXBuLpq3F65K8u6qq1SRvbdbbH27fn/MtGG5P8sYkz0/y8iQfb+73\n+iYoPpkSdj+Z5IaU4PT1Sb6VUkX8I83zXNF8HnWSP0/yVJIvNOv6dvPZfrv5PF/a3OM7Uvo6vz3J\na1P6O38uyQ+ntNLYneQFSY43z9lfwfzKlAD7TF/rjtuSvCjJ9X3HeuP7fwZ3pQTW96eE1vc3c/VX\nCl/QWqMvKL4/TQVz31yr3W734JC2I1MHy+u04tio/hYeAEMJhQEAANjp+gPbf5QSWF6S8+0JrkgJ\nLz+Z5MH09cFt2ge8aGC+f5nzrQhuSQkJh4V7K82YK5L8Tka0g2jCxZ9PCU4/kOTVKYHq3xjSzmEw\nfP7plIC3V/naC7efn9LK4btTAtsfTLKUEuY+04z9ZpLrmvEnmvt+MMmrUsLhb6WEpc8087+sOb47\nJRCum+NHm8/xSEoV9ZVJHkvyX3I+fP1AkvelBMg3N3O/OslfNevqBcrXNOP7N5h7ezPfgeZ+e1N+\nXr3neC4EHVId+9zn0+12/5vm81y3FcWwOauqenfz/AeSHMzan2OyfdpA9H5HAEYSCgMAALCjdbvd\no33VpMdSet5+OOd72yalQvWbQ0LFXsVwLwDu3xxud4YEjH0VpJ9M8uYkhwbmHdYz+NaUcPZAkn+f\n8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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "%%time\n", "ppr.compare_data(visualize_df,fig_size=16,plot_vars=['Survived','Sex','Pclass','Age','Fare'])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can zoom in on individual plots by using the zoom keyword argument:" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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eXnQ5MDd6n17pfXql9+mV3qdH+v4WoetrhhihO2fXXnttjh49uugyYG62trZy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\na62/PtQMAAAAAADb7YhCN8m3JXl0ktclOTFkmTt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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 640 ms, sys: 81.7 ms, total: 722 ms\n", "Wall time: 502 ms\n" ] } ], "source": [ "%%time\n", "ppr.compare_data(visualize_df,fig_size=16,zoom=['Sex','Pclass'])" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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ajI2NZXjYj38A0DSvxgAAG2hqaip3Db4rT5xt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\nZ65wAACAbWz2woU8f+8fZmz25qZL2VQncja/c+bLmi6DDTY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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 953 ms, sys: 108 ms, total: 1.06 s\n", "Wall time: 845 ms\n" ] } ], "source": [ "%%time\n", "ppr.compare_data(visualize_df,fig_size=16,zoom=['Pclass','Age'],plot_medians=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Note how there is now a scale for the Age feature and the frequencies corresponding to each bin.\n", "\n", "This currently only works for category vs category and category vs numerical comparisons and only for different features. This will be changed soon.\n", "\n", "Additionally, we can make it so that numerical vs numerical feature comparisons highlight points based on a particular color using the scatter_plot_filter keyword argument:" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 8.4 s, sys: 110 ms, total: 8.51 s\n", "Wall time: 8.78 s\n" ] }, { "data": { "image/png": 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hoYH9+/ffFlMHAQDAhtHqyNHrs/hq9c8nuS/J77QcEQBAl42Pj5+Zf0s/AACw8bS6INNP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\nzt8ynAzck9yW5MEuBAbAOqE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pOAp2YexBgjMDzdLkmSJEmSJKkFWBxtjiXMXoR3HMgnEIskSZIkSZKkGiyONsc4kKtqywOHE4hF\nkiRJkiRJUg0WR5vjKWDNzIMQQqC0a/1Tc36FJEmSJEmSpOPK4mhz7AG6QwivCSF0AJcCe2OMTycc\nlyRJkiRJkqRp2aQDWIxijBMhhI8DVwL/EXgM+FSyUUmSJEmSJEkqZ3G0SWKMjwH/M+k4JEmSJEmS\nJNXmbfWSJEmSJEmSUsmZoy2ov7SzfUtaD7ne3l6mpqZaNsZWUygUmvu76u5v3uuvWJ87Eygep5w0\nv45DvpB8H+PfeWEdj5yRGtK5sYPiaL4Z5xD7j+Ov2X2Mfdji4t9TLaeRsZLnrZbX7D5mzRo6lp6w\ntGMTm7JrWQtdm2Dqhfq+p/nTchrJlxBjbGYsmp/NSQdwBDMF9WKiUbSfe5r42s3Ml+P99za/SpqZ\nL5B8H+PfeeE1O2fa2eZPfvKTXxoaGhqvPrB27dr8Nddc8yb8/S20mT6mGf/X7T+S0a7XMUpG0/Ll\n1ltvveWOO+44pbr90ksvvf3Vr3711c36vmprjfQxnrfaQzPPSWdT+puV/73q/duZP62prnxx5mhr\ncpCmRpgvapQ5I6mZ7GPUCPNFUjPZx6gRdycdgJJhcbQ11fvuVr3vIgwCE/MPRy2uVr7Uyo1G3nUy\nZxa3evoY80XSfDU66+Jo/Y19zOK20DNHzRdJ5c6e/ne+46Jq9jGLW/k5aa48aWSsbb60CYujLehK\nuHkQZt3+V+0SWH7Ozp0MDw8fmus5hUIhPzAwsB3fMVu87rzyZkYHK/Nl7SXLrzrrQ9wL/54b9eQL\nmDNpUE8fY75Imq9P8snbr7nhmileftULrOij+nxU7Uj9jX3M4lfvdW89+iF/I5gvkn7mvhtuueqM\na4vzGRdV85yUAldzJ3ezD4BLWM4broLReyvzpM6xtvnSXiyOtqBBGN9dx0ViP+Q2jIxQax01pcjo\n4Dj7d1fmQHd/bg9Qnkfmi2bU08eYL5Lma5jhKYYpMrZnAiapPh9Vs79Jt3qveyVpXg4/PbkHJhwX\nqS4PMsnu6VzpJ8fYHhxrp0Mm6QAWuxDC60IIVyUdhyRJkiRJkqRKFkebJJRsB65IOhZJkiRJkiRJ\ns3lbffO8HVgK3AHkEo5FkiRJkiRJUhWLo83zTzHG0RDCG4HepIORJEmSJEmSVMnb6pskxjiadAyS\nJEmSJEmS5mZxVJIkSZIkSVIqWRyVJEmSJEmSlEoWRyVJkiRJkiSlksVRSZIkSZIkSankbvVNFmP8\nStIxSJIkSZIkSZrNmaOSJEmSJEmSUsmZoy2oH/L1PG895Hp7e5mamprz+YVCoa7XUhvr7p/9N16x\nPncmUCzLpXryBcyZNKinjzFfJM3XalZnWE2WrjNzrOij+nxU7Uj9jX3M4lfvde/xfi1Ji8SSNR1n\nQm4+46JqnpNSYCMdjE7nynpydJ0JsVj5d69zrG2+tJcQY0w6Bs22uc7nzRS3i0d53iAwMf9w1OJq\n5Uut3Kg3X8CcWezq6WPMFy0Wmz/5yU9+aWhoaLz6wNq1a/PXXHPNm4B7EohrMTubUh9S3n8cqS85\nWn9jH7O41XvdWy/zZRG79dZbb7njjjtOqW6/9NJLb3/1q199dRIxqeWdPf3vfMdF1exjFrfyc9Jc\nedLIWNt8aRPOHG1NDtLUCPNFjTJnJDXT3UkHoLbiOUlSM3lOUiM8J6WUxdHWNNc76M6sUC0z+VKd\nH+aL5nKkWTpHyhtzRlI9NlPqS8qvM4vTH86sULX5zhw1ZyTVY+acBPXPFLV/Sa/qsfWMo80eNWfa\nnMXRFnQl3DwIs27/uwSWn7NzJ8PDw4eqjxUKhfzAwMB2fKcjfe688mZGB8dZe8nyq876EPfCITBf\nNLe5+hiYO2/MGUl1u+qqW+jr44YPnbL02huuhYtv4KpN175wLxyq1cfYv6TczHVMI7r785x3ozkj\n6aiuglv6gLnGRdU8J6Xc1dzJ3ezjEpbzhqtgRR/lY+wZ5dcz5sziYHG0BQ3C+O4ahYt+yG0YGaHW\numlKsdHBcfbvHqe7P7cHmMkd80VzmauPAfNGbSEH9M9xzHftW8GePRNMTjLM0izDwAvD7IGJ3TBu\nH6NZZq5jJKkJ9sDEJOC5R3V5kEl2M04/Ocb2AJOUj7FneD2z+FgcbZIQwlnAZcAJwNPA52KMDyYb\nlSRJba9/x44dN+/bt6/iYtR37SVJkiTNh8XRJggh9AJvBz4RY3wghHAu8K4Qwv8bYzyccHiSJLW1\nffv2jftOvSRJkqSFkEk6gEWqB7gjxvgAQIzxe9PtJyYXkiRJkiRJkqRyzhxtghjj/cD9M49DCKcD\neWBvYkFJkiRJkiRJquDM0SYLIZwIXAN80VvqJUmSJEmSpNYx75mjIYRO4HRgGRCqj8cYv3MMcS0K\nIYTTgHcDu2KMtyQbjSRJkiRJkqRy8yqOhhBeCvw6kKNGYRSIQKqLo9O/o3cAn48x3pl0PJIkSZIk\nSZIqzXfm6OWU1s/8J2AfpWKoppXdSv+3Mca7k45HkiRJkiRJ0mzzLY6eBNwQYxxcyGAWkQspbcD0\nthDC28ra/yLG+GAyIUmSJEmSJEkqN9/i6H5KxT/VEGP8AvCFpOOQJEmSJEmSNLf57lb/NeBN07eP\nS5IkSZIkSVLbqXvmaAjhQ1VNPcAfhhAOAuNVx2KM8fePNbi06p9jVu56yPX29jI1NTXreKFQcCZv\nWnX3l/72K9bnzgSK0/ljvmguc/UxMHfemDOS6nbmmTn6+ljN6iyrgaWrORNyRcjX6mPsX1Ju5jqm\n2V8jKZXOhFwfMNe4qJrnpJTbSAej5FlPjq4zYUUf5WPsGeXXM+bM4tDIbfX348ZLx8WNsH2OQ1ku\nvxygOMdx14BNo/NunMmX7KdL/87kh/mimo7Qx8CR88ac0aKSyWQANs1xeBCYOH7RLCKf/vTrgOy1\nkOVagGv5dKlPKTJ3H2P/klY/u45plDkj6ag+Da/j6OOiavYvafUpzpv+LAul0XXVGJt/P16ZU+ZM\nm6u7OBpj/NsjHQ8hZGKMU8cckQDuSToAtRXzRY0yZySgp6cnt3PnzuuHh4cPlbcXCoX8wMDAdvy/\nMl/+3tQI80VSM9nHqBHmS0rNd0MmQgiXAJtijJ+YbnpRCOEdwNdijN9YkOgkSZKaaGRkZGJoaKh6\neSBJkiRJKTGvDZlCCK8HLgOeLmseBnYDbwkhXLAAsaXZZiCXdBBqG+aLGmXOSJJaheckSc1kH6NG\nmC8pNd/d6n8euCnG+PmZhhjjMzHGfwS+Aly8EMGl1Q2wC/ilpONQm3jk83cA7046DLWPXbt23Qb0\nJx2HtJDK1g/dXPUx15qiap5bkg5AbeQ6vo7nJElNctttt30T+xjV65Ed38exdSrN97b6VcAjcxx7\nGLh0nq+7aIQQXgm8mdLvagj4XIzxoXq+9mmYbGZsWmTG95svasjY2Fi9i9FLbWOu9UM3bty4PJPJ\nTADeOi+1osfr3iBFkho2NjbmWEn1m3jGfXRSar7F0RFK777U2pFrE/DMvCNaBEIIvcBVwEdjjI+E\nELYAVwO/m2xkkiQtXrXWDy0UCt4aJUmSJGlO8y2OfhMYCCFkgbuBMaALeDnwOmDnwoTXnmKMIyGE\nD8QYx6d/R53AwaTjkiRJkiRJkvQz8yqOxhhvCSGspLS2aPn6olPA12OMqV9rarowejLwQUq3yX8i\n4ZAkSZIkSZIklZlXcTSEsCzG+IUQwj8DpwMrgEPAwzHG5xYywDb3FKXFfF8DXBtC+D1/P5IkSZIk\nSVJrmO9u9deFEF4VY3w+xnhvjPF7McYfWfirFGOcmv74NrAfOCPpmCRJkiRJkiSVzLc4mgMshM4h\nhNAfQnhvVXMHpdm1kiRJkiRJklrAfIujXwfeHEI4PYSQX8iAFonHgFNDCK8KIWRCCK+l9Lt+MOG4\nJEmSJEmSJE2b7271Pwf0Ah8ACCHMekKM8Z3zD6u9xRifCyH8FfBW4FeBR4GPxxiLyUYmSZIkSZIk\nacZ8i6PfXdAoFqEY44PAh5KOQ5IkSZIkSVJt8yqOxhi/stCBSJIkSZIkSdLxNN+Zo4QQcsA6Spsz\n/XszsAR4UYxx5zHGllprSps3SfXJ95gvakhXV9e8+35JkhZU3/zHI5J0NF1dXY6VVL/cCfPdl0dt\nbl4XIyGEM4BfB5bP8ZTDgMXReboWtgGDScehNrH+ly/EfFEDtm3bthVzRlLzvC7pANRGruNiPCdJ\napKtW7degH2M6rV+4BzMl1Sa7zu1lwEHgRuBc4EI3Am8DNgK/MWCRJde9yQdgNqK+aJGmTOSpFbh\nOUlSM9nHqBHmS0rNd8pwH/CVGOPdwA+Bnhjjj2KM/wB8C7h0oQKUJEmSJEmSpGaYb3E0AAemP98L\nrC07ths49ViCEpupXMtVOhLzRY0yZyRJrcJzkqRmso9RI8yXlJpvcXQYOHn686eBJSGENdOPO4Cl\nxxpYmu3ates2oD/pONQebrvttm9ivqgB9jGSmuyWpANQ+7iO676O5yRJTeJYSQ15ZMf3gXcnHYaO\nv/kWR78LDIQQXhtjPAg8AvzHEMLLgTcCTy5UgGk0NjZWTDoGtY+xsbHJpGNQe7GPkSS1isd53HOS\npKZxrKSGTDwzlXQISsZ8N2T6F6AT2AB8A/gs8JvAu4AXgL9ckOjaWAjhLZR2nZ/pjCdijO9PLiJJ\nkiRJkiRJ5RoujoYQTgN6gbtijI8CxBgfCSH8HnAS8FSM8YWFDLJNrQM+FWP8QdKBSJIkSZIkSZqt\n7uJoCGE5pbUXTqe0IVMMITwE/HWM8ZnpguhPmxJle+oDHk86CEmSJEmSJEm1NTJz9M2UdqH/MqU1\nRk8CLgWuB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espp4xdfeKJ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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "%%time\n", "ppr.compare_data(visualize_df,fig_size=16,scatter_plot_filter='Survived')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here is an example interpretation using pairplotr:\n", "\n", "Row/column 1/1 indicates that survival (1) and death (0) are indicated by cyan and gray, respectively.\n", "\n", "Row/column 3/1 indicates that most women survived (I'd guess about ~80%). \n", "\n", "Row/column 3/2 indicates that more than half of all women were from Pclasses 1 and 2. This makes me curious about what characteristics women from Pclass 3 might have.\n", "\n", "We can slice the data using normal Pandas notation and use it with pairplotr. Here's an example that investigates women from Pclass 3:" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "collapsed": false, "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 7.83 s, sys: 59.1 ms, total: 7.89 s\n", "Wall time: 8 s\n" ] }, { "data": { "image/png": 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bXv5cvSTT3+vZ3+ep9Ob73+196iPz61l/ueuuuz70sY997Kq57a95zWs++tKX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mM5cKChvDMpv/7ALRvfd+DTG6aWr127tTx21e/NmBqGeZt9DtaJ+VfPb1FMAC+SHG2OrySppZQf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\nafrgvbOSo9nsrMGkxzU6Ojrh2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G0ftWlYe7n11ltv+fKXv3xaeflrXvOaL11wwQVvbdTr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\nATwBfCCl9PR/ioj4FvBH5EdBfLiRAaSUDsH/be/Mo6yqrjz8b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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "%%time\n", "\n", "where = (visualize_df['Sex']=='female')&(visualize_df['Pclass']==3) # Women from Pclass 3\n", "\n", "ppr.compare_data(visualize_df[where],scatter_plot_filter='Survived')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Row/column 1/1 automatically shows that only about half of Pclass 3 women survived.\n", "\n", "Row/column 8/1 is interesting. It seems to indicate that most women from Embarked values Q and C survived, while the bulk of Pclass 3 women from Embarked S died.\n", "\n", "Row/column pairs 8/5 and 8/6 seem to indicate that Embarked S had a higher concentration of larger amounts of Siblings/Spouses and Parents/Childen. \n", "\n", "Additionally, row/colum pairs 5/1 and 6/1 seem to indicate that women with less family had a better chance to survive. Here I zoom in on these two figures to check:" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 692 ms, sys: 84.4 ms, total: 777 ms\n", "Wall time: 544 ms\n" ] } ], "source": [ "%%time\n", "\n", "where = (visualize_df['Sex']=='female')&(visualize_df['Pclass']==3) # Women from Pclass 3\n", "\n", "ppr.compare_data(visualize_df[where],scatter_plot_filter='Survived',zoom=['SibSp','Survived'])" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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AAAAAABGWAgAAAAAkEZYCAAAAACQRlgIAAAAAJBGWAgAAAAAkmbKw9Pzzz8/s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\n6FKACaAnAH16AtA3CXOWzid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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 692 ms, sys: 83.6 ms, total: 775 ms\n", "Wall time: 586 ms\n" ] } ], "source": [ "%%time\n", "\n", "where = (visualize_df['Sex']=='female')&(visualize_df['Pclass']==3) # Women from Pclass 3\n", "\n", "ppr.compare_data(visualize_df[where],scatter_plot_filter='Survived',zoom=['Parch','Survived'])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Indeed, more than half of Pclass 3 women with no family survived while less than half did with otherwise. \n", "\n", "# Summary\n", "I've introduced pairplotr and showed how to set features as categorical, graph mixed numerical/categorical features, restrict the graphed features, and zoom in on individual plots, graph subsets of the data. Additionally, I demonstrated a simple interpretation of the Titanic dataset.\n", "\n", "I hope you find this tool useful and please give me any suggestions for improving it." ] } ], "metadata": { "anaconda-cloud": {}, "kernelspec": { "display_name": "Python [default]", "language": "python", "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.12" } }, "nbformat": 4, "nbformat_minor": 0 }