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@odubno
Created September 23, 2014 21:53
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Oleh_BikeShare
{
"metadata": {
"name": "",
"signature": "sha256:babe583f925ec5adafa1d927ec05798a649b236bae95074a63d1af2fc1db3471"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The Chicago Bike Share program \"Divvy\" releases anonymized bike trip data. See my analysis below. "
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from pandas import DataFrame, read_csv\n",
"import matplotlib.pyplot as plt\n",
"import pandas as pd\n",
"import numpy as np\n",
"import sys\n",
"%matplotlib inline"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#enigma link to my dataset \n",
"\n",
"https://app.enigma.io/search/source/us.states.il.cities.chicago.cdot.divy"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"\n",
"location = r'/Users/olehdubno/Desktop/python_tests/bikeshare.csv'\n",
"\n",
"df = read_csv(location)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 60
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"#There are close to 760,000 records in the data set\n",
"#The gender type is filled in for subscribers and is empty for customers\n",
"#Birthday information is only available for subscribers and is missing for customers\n",
"\n",
"df.info()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"Int64Index: 759788 entries, 0 to 759787\n",
"Data columns (total 13 columns):\n",
"trip_id 759788 non-null int64\n",
"starttime 759788 non-null object\n",
"stoptime 759788 non-null object\n",
"bikeid 759788 non-null int64\n",
"tripduration 759788 non-null int64\n",
"from_station_id 759788 non-null int64\n",
"from_station_name 759788 non-null object\n",
"to_station_id 759788 non-null int64\n",
"to_station_name 759788 non-null object\n",
"usertype 759788 non-null object\n",
"gender 403046 non-null object\n",
"birthday 402909 non-null float64\n",
"serialid 759788 non-null int64\n",
"dtypes: float64(1), int64(6), object(6)"
]
}
],
"prompt_number": 61
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"#the average trip duration is 1239.47 sec (20.65 minutes) \n",
"#and that is reflected in the bar chart below \n",
"\n",
"print df.tripduration.hist(range=(-1000,5000)).set_title('Trip Duration in Seconds')\n",
"print df.describe()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Text(0.5,1,'Trip Duration in Seconds')\n",
" trip_id bikeid tripduration from_station_id \\\n",
"count 759788.000000 759788.000000 759788.000000 759788.000000 \n",
"mean 553984.054582 1117.964666 1239.470455 125.297671 \n",
"std 309503.044579 736.470219 2757.769764 86.304741 \n",
"min 3940.000000 1.000000 60.000000 5.000000 \n",
"25% 291602.500000 499.000000 473.000000 53.000000 \n",
"50% 549574.500000 1016.000000 821.500000 97.000000 \n",
"75% 816606.250000 1650.000000 1357.000000 185.000000 \n",
"max 1109397.000000 3003.000000 86399.000000 351.000000 \n",
"\n",
" to_station_id birthday serialid \n",
"count 759788.000000 402909.000000 759788.0000 \n",
"mean 124.952351 1976.854354 379894.5000 \n",
"std 86.188268 10.435801 219332.0475 \n",
"min 5.000000 1906.000000 1.0000 \n",
"25% 53.000000 1970.000000 189947.7500 \n",
"50% 97.000000 1980.000000 379894.5000 \n",
"75% 181.000000 1985.000000 569841.2500 \n",
"max 351.000000 1997.000000 759788.0000 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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AiPXa7kAMrbeAfZfe74ilJjKYcb8S2QO/j7dhM+7C9fhmm53ataYx1XYnRqjr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\nIiIiIiIiIiIiImIc/X8VeN84BM5JfwAAAABJRU5ErkJggg==\n",
"text": [
"<matplotlib.figure.Figure at 0x140fdd450>"
]
}
],
"prompt_number": 62
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"#Here we could see that on average pleople born between 1980 and and 1990\n",
"plt.figure(figsize=(10,5))\n",
"plt.scatter(df.birthday, df.tripduration, lw=0, alpha=.05)\n",
"plt.xlabel(\"age\")\n",
"plt.ylabel(\"trip duration\")\n",
"#plt.xscale('log')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 55,
"text": [
"<matplotlib.text.Text at 0x13b5dc410>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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SiMA/AHA/3B38gwB+f5SDEkKI/UZYey7pIVsqeU26UXQ2iZdzCV2qTHZIc8xy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\nAAAAAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x164ebb810>"
]
}
],
"prompt_number": 55
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df['gender'] = df['gender'].map({'Female': 0, 'Male': 1, 'NaN':2})\n",
"df['usertype'] = df['usertype'].map({'Customer':0,'Subscriber':1})"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 7
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from scipy.stats import kurtosis\n",
"#kde curve tells use that the most popular age among users of bikeshare is around 1985\n",
"\n",
"df.birthday.dropna().plot(kind='kde',xlim=(1920,2010), style='b--').set_title('Age of Bikeshare Users')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 53,
"text": [
"<matplotlib.text.Text at 0x16c7f1290>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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IrrOSTWrOioCLbaDKFMy2ZLrjDujb1/o5ouDiegI3c5WVlXHzzbD//nEnSXFx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\n2qkwrWg9AAAAAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x13b043610>"
]
}
],
"prompt_number": 53
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# The boxplot shows that males traveled between stations faster than females, but only by a difference of about 200 seconds\n",
"f.boxplot(column='tripduration',by='gender',grid=True).set_ylim(0,2000)d\n",
"\n",
"# The scatter plot shows that males on avg. traveled for longer periods of time\n",
"plt.figure(figsize=(10,5))\n",
"plt.scatter(df.gender, df.tripduration, lw=0, alpha=.05)\n",
"plt.xlabel(\"gender\")\n",
"plt.ylabel(\"trip duration\")"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 15,
"text": [
"<matplotlib.text.Text at 0x166f015d0>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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"text": [
"<matplotlib.figure.Figure at 0x166fe5b50>"
]
},
{
"metadata": {},
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"text": [
"<matplotlib.figure.Figure at 0x166ffb450>"
]
}
],
"prompt_number": 15
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"From these two graphs we could tell that, on average males traveled 200 seconds or by 3 minutes faster than females and the scatter plot shows us that more males use the bikeshare then females. "
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}
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