{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"collapsed": true
},
"source": [
"# Exploring ebay Car Sales in Germany."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"By working with the ebay car sales data, scraped from *eBay Kleinanzeigen*, a classifieds section of the German eBay website, we aim to clean the data and analyze the included used car listings."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The **data dictionary** provided with data is as follows:\n",
"\n",
"**1. dateCrawled** - When this ad was first crawled. All field-values are taken from this date.\n",
"\n",
"**2. name** - Name of the car.\n",
"seller - Whether the seller is private or a dealer.\n",
"\n",
"**3. offerType** - The type of listing\n",
"\n",
"**4. price** - The price on the ad to sell the car.\n",
"\n",
"**5. abtest** - Whether the listing is included in an A/B test.\n",
"\n",
"**6. vehicleType**- The vehicle Type.\n",
"\n",
"**7. yearOfRegistration** - The year in which the car was first registered.\n",
"\n",
"**8. gearbox** - The transmission type.\n",
"\n",
"**9. powerPS**- The power of the car in PS.\n",
"\n",
"**10. model** - The car model name.\n",
"\n",
"**11. kilometer** - How many kilometers the car has driven.\n",
"\n",
"**12. monthOfRegistration** - The month in which the car was first registered.\n",
"\n",
"**13. fuelType** - What type of fuel the car uses.\n",
"\n",
"**14. brand** - The brand of the car.\n",
"\n",
"**15. notRepairedDamage** - If the car has a damage which is not yet repaired.\n",
"\n",
"**16. dateCreated** - The date on which the eBay listing was created.\n",
"\n",
"**17. nrOfPictures** - The number of pictures in the ad.\n",
"\n",
"**18. postalCode** - The postal code for the location of the vehicle.\n",
"\n",
"**18. lastSeenOnline** - When the crawler saw this ad last online."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let us start by importing the dataset."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import warnings\n",
"warnings.filterwarnings('ignore')\n",
"import pandas as pd\n",
"data=pd.read_csv(\"autos.csv\",encoding=\"Latin-1\")"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
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\n",
"
\n",
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dateCrawled
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name
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seller
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offerType
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price
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abtest
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vehicleType
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"
yearOfRegistration
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gearbox
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powerPS
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model
\n",
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odometer
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monthOfRegistration
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fuelType
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brand
\n",
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notRepairedDamage
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dateCreated
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nrOfPictures
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postalCode
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lastSeen
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" \n",
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0
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2016-03-26 17:47:46
\n",
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Peugeot_807_160_NAVTECH_ON_BOARD
\n",
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privat
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Angebot
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"
$5,000
\n",
"
control
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bus
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2004
\n",
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manuell
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158
\n",
"
andere
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150,000km
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3
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lpg
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peugeot
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nein
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0
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BMW_740i_4_4_Liter_HAMANN_UMBAU_Mega_Optik
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privat
\n",
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Angebot
\n",
"
$8,500
\n",
"
control
\n",
"
limousine
\n",
"
1997
\n",
"
automatik
\n",
"
286
\n",
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7er
\n",
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150,000km
\n",
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6
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benzin
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bmw
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nein
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0
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2016-03-26 18:57:24
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"
Volkswagen_Golf_1.6_United
\n",
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privat
\n",
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Angebot
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$8,990
\n",
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test
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limousine
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2009
\n",
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manuell
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102
\n",
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golf
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70,000km
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7
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benzin
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volkswagen
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nein
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35394
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3
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2016-03-12 16:58:10
\n",
"
Smart_smart_fortwo_coupe_softouch/F1/Klima/Pan...
\n",
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privat
\n",
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Angebot
\n",
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$4,350
\n",
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control
\n",
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kleinwagen
\n",
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2007
\n",
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automatik
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71
\n",
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\n",
"
Ford_Focus_1_6_Benzin_TÜV_neu_ist_sehr_gepfleg...
\n",
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privat
\n",
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Angebot
\n",
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$1,350
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test
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kombi
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manuell
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"
],
"text/plain": [
" dateCrawled name \\\n",
"0 2016-03-26 17:47:46 Peugeot_807_160_NAVTECH_ON_BOARD \n",
"1 2016-04-04 13:38:56 BMW_740i_4_4_Liter_HAMANN_UMBAU_Mega_Optik \n",
"2 2016-03-26 18:57:24 Volkswagen_Golf_1.6_United \n",
"3 2016-03-12 16:58:10 Smart_smart_fortwo_coupe_softouch/F1/Klima/Pan... \n",
"4 2016-04-01 14:38:50 Ford_Focus_1_6_Benzin_TÜV_neu_ist_sehr_gepfleg... \n",
"\n",
" seller offerType price abtest vehicleType yearOfRegistration \\\n",
"0 privat Angebot $5,000 control bus 2004 \n",
"1 privat Angebot $8,500 control limousine 1997 \n",
"2 privat Angebot $8,990 test limousine 2009 \n",
"3 privat Angebot $4,350 control kleinwagen 2007 \n",
"4 privat Angebot $1,350 test kombi 2003 \n",
"\n",
" gearbox powerPS model odometer monthOfRegistration fuelType \\\n",
"0 manuell 158 andere 150,000km 3 lpg \n",
"1 automatik 286 7er 150,000km 6 benzin \n",
"2 manuell 102 golf 70,000km 7 benzin \n",
"3 automatik 71 fortwo 70,000km 6 benzin \n",
"4 manuell 0 focus 150,000km 7 benzin \n",
"\n",
" brand notRepairedDamage dateCreated nrOfPictures \\\n",
"0 peugeot nein 2016-03-26 00:00:00 0 \n",
"1 bmw nein 2016-04-04 00:00:00 0 \n",
"2 volkswagen nein 2016-03-26 00:00:00 0 \n",
"3 smart nein 2016-03-12 00:00:00 0 \n",
"4 ford nein 2016-04-01 00:00:00 0 \n",
"\n",
" postalCode lastSeen \n",
"0 79588 2016-04-06 06:45:54 \n",
"1 71034 2016-04-06 14:45:08 \n",
"2 35394 2016-04-06 20:15:37 \n",
"3 33729 2016-03-15 03:16:28 \n",
"4 39218 2016-04-01 14:38:50 "
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#First few rows of the dataset.\n",
"data[:5]"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"RangeIndex: 50000 entries, 0 to 49999\n",
"Data columns (total 20 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 dateCrawled 50000 non-null object\n",
" 1 name 50000 non-null object\n",
" 2 seller 50000 non-null object\n",
" 3 offerType 50000 non-null object\n",
" 4 price 50000 non-null object\n",
" 5 abtest 50000 non-null object\n",
" 6 vehicleType 44905 non-null object\n",
" 7 yearOfRegistration 50000 non-null int64 \n",
" 8 gearbox 47320 non-null object\n",
" 9 powerPS 50000 non-null int64 \n",
" 10 model 47242 non-null object\n",
" 11 odometer 50000 non-null object\n",
" 12 monthOfRegistration 50000 non-null int64 \n",
" 13 fuelType 45518 non-null object\n",
" 14 brand 50000 non-null object\n",
" 15 notRepairedDamage 40171 non-null object\n",
" 16 dateCreated 50000 non-null object\n",
" 17 nrOfPictures 50000 non-null int64 \n",
" 18 postalCode 50000 non-null int64 \n",
" 19 lastSeen 50000 non-null object\n",
"dtypes: int64(5), object(15)\n",
"memory usage: 7.6+ MB\n"
]
}
],
"source": [
"data.info()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can see that there are multiple columns with null values and multiple columns with \"object\" as datatype. Let us start our data cleaning here."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Data Cleaning"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 1. Null Values"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Looking at the results above, lets us know that columns **vehicleType,gearbox,model,fuelType and notRepairedDamage** have some null values. The way to handle this missing data depends on the percentage of observations missing from each column."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Percentage of vehicleType missing is: 10.19 %\n",
"Percentage of gearbox missing is: 5.36 %\n",
"Percentage of model missing is: 5.516 %\n",
"Percentage of fuelType missing is: 8.964 %\n",
"Percentage of notRepairedDamage missing is: 19.658 %\n"
]
}
],
"source": [
"def per_missing(col): #function to calculate percentage of missing values\n",
" per=(data[col].isnull().sum()*100)/data.shape[0]\n",
" print(\"Percentage of \",col,\" missing is: \",per,\"%\")\n",
"per_missing(\"vehicleType\")\n",
"per_missing(\"gearbox\")\n",
"per_missing(\"model\")\n",
"per_missing(\"fuelType\")\n",
"per_missing(\"notRepairedDamage\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"As at most, the column missing values are **20%** of the data,we won't be dealing with missing data now and proceed further"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 2. Ambiguous Column Names and Values"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let us see the column names."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Index(['dateCrawled', 'name', 'seller', 'offerType', 'price', 'abtest',\n",
" 'vehicleType', 'yearOfRegistration', 'gearbox', 'powerPS', 'model',\n",
" 'odometer', 'monthOfRegistration', 'fuelType', 'brand',\n",
" 'notRepairedDamage', 'dateCreated', 'nrOfPictures', 'postalCode',\n",
" 'lastSeen'],\n",
" dtype='object')\n"
]
}
],
"source": [
"print(data.columns)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Some of the column names are too long like **'yearOfRegistration', 'monthOfRegistration'** and **'notRepairedDamage'** Some of them are inappropriate like **'dateCreated'** which is the date on which the eBay listing was created.\n",
"Also let us change the camelcase of the column names to snakecase."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We will make the following changes:\n",
"1. yearOfRegistration to registration_year\n",
"2. monthOfRegistration to registration_month\n",
"3. notRepairedDamage to unrepaired_damage\n",
"4. dateCreated to ad_created\n",
"5. nrOfPictures to num_pics\n",
"6. The rest of the column names from camelcase to snakecase."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"data.rename({\"yearOfRegistration\":\"registration_year\",\"monthOfRegistration\":\"registration_month\",\n",
" \"notRepairedDamage\":\"unrepaired_damage\",\"dateCreated\":\"ad_created\",\n",
" \"dateCrawled\":\"date_crawled\",\"offerType\":\"offer_type\",\"powerPS\":\"power_ps\",\n",
" \"nrOfPictures\":\"num_pics\",\"fuelType\":\"fuel_type\",\"postalCode\":\"postal_code\",\n",
" \"postalCode\":\"postal_code\",'vehicleType':'vehicle_type',\"lastSeen\":\"last_seen\"},inplace=True,axis=1)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Index(['date_crawled', 'name', 'seller', 'offer_type', 'price', 'abtest',\n",
" 'vehicle_type', 'registration_year', 'gearbox', 'power_ps', 'model',\n",
" 'odometer', 'registration_month', 'fuel_type', 'brand',\n",
" 'unrepaired_damage', 'ad_created', 'num_pics', 'postal_code',\n",
" 'last_seen'],\n",
" dtype='object')\n"
]
}
],
"source": [
"print(data.columns)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### 2. Exploring column values for ambiguous values"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### a) Removing rows with values that are inappropriate."
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0 5075\n",
"3 5071\n",
"6 4368\n",
"5 4107\n",
"4 4102\n",
"7 3949\n",
"10 3651\n",
"12 3447\n",
"9 3389\n",
"11 3360\n",
"1 3282\n",
"8 3191\n",
"2 3008\n",
"Name: registration_month, dtype: int64"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data[\"registration_month\"].value_counts()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let us remove the values with registration_month=0 because this value seems ambiguous"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"data=data[~(data[\"registration_month\"]==0)]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The acceptable values for registration year are 1900-2016. So we will remove all other rows with values that do not fall in this interval."
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(43441, 20)"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data=data[~((data[\"registration_year\"]>2016)|(data[\"registration_year\"]<1900))]\n",
"\n",
"data.shape"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### b) Changing german words to english words."
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array(['privat', 'gewerblich'], dtype=object)"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data[\"seller\"].unique()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In german, privat means private and gewerblich means commercial."
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array(['private', 'commercial'], dtype=object)"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ger_eng={'privat':\"private\",\"gewerblich\":\"commercial\"}\n",
"data[\"seller\"]=data[\"seller\"].map(ger_eng)\n",
"data[\"seller\"].unique()"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array(['Angebot'], dtype=object)"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data[\"offer_type\"].unique()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In german, Angebot means offer."
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array(['offer'], dtype=object)"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ger_eng={'Angebot':\"offer\"}\n",
"data[\"offer_type\"]=data[\"offer_type\"].map(ger_eng)\n",
"data[\"offer_type\"].unique()"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array(['manuell', 'automatik', nan], dtype=object)"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data[\"gearbox\"].unique()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In german, manuell means manual and automatik means automatic ."
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array(['manual', 'automatic', nan], dtype=object)"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ger_eng={'manuell':\"manual\",\"automatik\":\"automatic\"}\n",
"data[\"gearbox\"]=data[\"gearbox\"].map(ger_eng)\n",
"data[\"gearbox\"].unique()"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array(['lpg', 'benzin', 'diesel', nan, 'cng', 'hybrid', 'elektro',\n",
" 'andere'], dtype=object)"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data[\"fuel_type\"].unique()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In german, benzin means petrol and elektro means electro."
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array(['lpg', 'gasoline', 'diesel', nan, 'cng', 'hybrid', 'electric',\n",
" 'others'], dtype=object)"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ger_eng={\"andere\":\"others\", \"benzin\":\"gasoline\",\"cng\":\"cng\", \"diesel\":\"diesel\", \n",
" \"elektro\":\"electric\", \"hybrid\":\"hybrid\", \"lpg\":\"lpg\"}\n",
"data[\"fuel_type\"]=data[\"fuel_type\"].map(ger_eng)\n",
"data[\"fuel_type\"].unique()"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array(['bus', 'limousine', 'kleinwagen', 'kombi', nan, 'coupe', 'suv',\n",
" 'cabrio', 'andere'], dtype=object)"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data[\"vehicle_type\"].unique()"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array(['bus', 'limousine', nan, 'combi', 'coupe', 'suv', 'others'],\n",
" dtype=object)"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ger_eng={\"andere\":\"others\",\"bus\":\"bus\",\"kleinewagen\":\"small_car\",\"kombi\":\"combi\",\"cabrios\":\"convertible\",\n",
" \"coupe\":\"coupe\",\"suv\":\"suv\",\"limousine\":\"limousine\"}\n",
"\n",
"data[\"vehicle_type\"]=data[\"vehicle_type\"].map(ger_eng)\n",
"data[\"vehicle_type\"].unique()"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array(['nein', nan, 'ja'], dtype=object)"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data[\"unrepaired_damage\"].unique()"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array(['no', nan, 'yes'], dtype=object)"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data[\"unrepaired_damage\"]=data[\"unrepaired_damage\"].map({\"ja\":\"yes\", \"nein\":\"no\"})\n",
"data[\"unrepaired_damage\"].unique()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 3. Exploring data types"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"date_crawled object\n",
"name object\n",
"seller object\n",
"offer_type object\n",
"price object\n",
"abtest object\n",
"vehicle_type object\n",
"registration_year int64\n",
"gearbox object\n",
"power_ps int64\n",
"model object\n",
"odometer object\n",
"registration_month int64\n",
"fuel_type object\n",
"brand object\n",
"unrepaired_damage object\n",
"ad_created object\n",
"num_pics int64\n",
"postal_code int64\n",
"last_seen object\n",
"dtype: object"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.dtypes"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The data types of some columns seems wrong.\n",
"\n",
"| Column | Wrong Data Type | Correct Data Type |\n",
"| --- | --- | --- |\n",
"| date_crawled | Object | datetime |\n",
"| price | Object | float |\n",
"| ad_created | Object | datetime |\n",
"| last_seen | Object | datetime |\n",
"| odometer | Object | float |"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Also, km suffix should be removed from the **odometer** column and then it will be converted to int.\n",
"Also, from the **price** column,$ prefix should be removed and then it will be converted to float."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### a) Removing inappropriate suffix/prefix from price and odometer data."
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0 5000\n",
"1 8500\n",
"2 8990\n",
"3 4350\n",
"4 1350\n",
" ... \n",
"49995 24900\n",
"49996 1980\n",
"49997 13200\n",
"49998 22900\n",
"49999 1250\n",
"Name: price, Length: 43441, dtype: object"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data[\"price\"]=data[\"price\"].str.replace(\"$\",\"\")\n",
"data[\"price\"]=data[\"price\"].str.replace(\",\",\"\")\n",
"data[\"price\"]"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0 150000\n",
"1 150000\n",
"2 70000\n",
"3 70000\n",
"4 150000\n",
" ... \n",
"49995 100000\n",
"49996 150000\n",
"49997 5000\n",
"49998 40000\n",
"49999 150000\n",
"Name: odometer, Length: 43441, dtype: object"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data[\"odometer\"]=data[\"odometer\"].str.replace(\"km\",\"\")\n",
"data[\"odometer\"]=data[\"odometer\"].str.replace(\",\",\"\")\n",
"data[\"odometer\"]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let us also alter the column names to make them more descriptive."
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Index(['date_crawled', 'name', 'seller', 'offer_type', 'price($)', 'abtest',\n",
" 'vehicle_type', 'registration_year', 'gearbox', 'power_ps', 'model',\n",
" 'odometer(km)', 'registration_month', 'fuel_type', 'brand',\n",
" 'unrepaired_damage', 'ad_created', 'num_pics', 'postal_code',\n",
" 'last_seen'],\n",
" dtype='object')"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.rename({\"price\":\"price($)\",\"odometer\":\"odometer(km)\"},inplace=True,axis=1)\n",
"data.columns"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### b) Changing the data types of the columns mentioned above."
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [],
"source": [
"data[\"date_crawled\"]=pd.to_datetime(data[\"date_crawled\"])\n",
"data[\"ad_created\"]=pd.to_datetime(data[\"ad_created\"])\n",
"data[\"last_seen\"]=pd.to_datetime(data[\"last_seen\"])\n"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [],
"source": [
"data[\"price($)\"]=data[\"price($)\"].astype(\"float\")\n",
"data[\"odometer(km)\"]=data[\"odometer(km)\"].astype(\"float\")"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"date_crawled datetime64[ns]\n",
"name object\n",
"seller object\n",
"offer_type object\n",
"price($) float64\n",
"abtest object\n",
"vehicle_type object\n",
"registration_year int64\n",
"gearbox object\n",
"power_ps int64\n",
"model object\n",
"odometer(km) float64\n",
"registration_month int64\n",
"fuel_type object\n",
"brand object\n",
"unrepaired_damage object\n",
"ad_created datetime64[ns]\n",
"num_pics int64\n",
"postal_code int64\n",
"last_seen datetime64[ns]\n",
"dtype: object"
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.dtypes"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array(['offer'], dtype=object)"
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data[\"offer_type\"].unique()\n"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([0])"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data[\"num_pics\"].unique()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"offer_type and num_pics have same value across all rows. There is no benefit in keeping these columns in our analysis as they have redundant values"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"%matplotlib inline\n",
"reg_year_count=data[\"registration_year\"].value_counts().sort_index()\n",
"plt.plot(reg_year_count)\n",
"plt.xlabel(\"Years\")\n",
"plt.ylabel(\"Number of Registered Cars\")\n",
"plt.title(\"Registrations of cars for each year\")\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"During years 1920-1980, the registered cars are too low. Let us just focus on years after 1980 as they are more relevant to our analysis."
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.plot(reg_year_count)\n",
"plt.xlim([1980, 2016])\n",
"plt.xlabel(\"Years\")\n",
"plt.ylabel(\"Number of Registered Cars\")\n",
"plt.title(\"Registrations of cars for each year\")\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Most number of vehicles on the listings were registered in the years 2000-2010."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's break this data by **vehicle type.**"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"for v in data[\"vehicle_type\"].dropna().unique():\n",
" vt=(data[\"vehicle_type\"]==v)\n",
" a=data.loc[vt,\"registration_year\"].value_counts(dropna=True).sort_index()\n",
" plt.plot(a.index,a.values,label=v)\n",
" plt.xlim(1980,2016)\n",
" \n",
"plt.xlabel(\"Registration Year\") \n",
"plt.ylabel(\"Number of Registrations\") \n",
"plt.legend()\n",
"plt.show()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Breaking down the data into vehicle types, showed us that most **limousines, combi and buses** were registered during **1995-2010** but for other categories, the registration peaks were seen during different time frames."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now we will look at each vehicle type individually and see what **brands** are common in the listings."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### "
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"for v in data[\"vehicle_type\"].dropna().unique():\n",
" \n",
" vt=data[\"vehicle_type\"]==v\n",
" c=data.loc[vt,\"brand\"].value_counts().sort_values(ascending=False).head(5)\n",
" plt.bar(c.index,c.values)\n",
" plt.xticks(rotation=30)\n",
" plt.title(v.upper()+\" Top 5 brands and their Frequencies\")\n",
" plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"For most vehicle types, the listings seem to show similar top 5 brands like **Volkswagen, Audi, BMW, Opel and Mercedes Benz.**\n",
"Now, we will focus some of our analysis on these common brands.\n"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [],
"source": [
"popular_brands=[\"volkswagen\",\"audi\",\"bmw\",\"mercedes_benz\",\"opel\"]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let us compare the average prices of these common brands for used vehicles"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"v=(data[\"brand\"].isin(popular_brands))\n",
"a=data[v].groupby([\"brand\",\"gearbox\"])[\"price($)\"].mean().unstack(\"gearbox\")\n",
"a.plot(kind=\"bar\",stacked=True)\n",
"plt.xlabel(\"Common Brands\")\n",
"plt.ylabel(\"Average Price\")\n",
"plt.xticks(rotation=30)\n",
"plt.title(\"Average Prices of Common Brands\")\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In common brands, the **most expensive brand seems to be Mercedes Benz** and other brands have comparably low prices.\n",
"\n",
"**In most brands, we see that automatic cars are priced at a higher value than manual cars.\n",
"However, only for Opel brand, the reverse is true.**"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"v=(data[\"brand\"].isin(popular_brands))\n",
"a=data[v].groupby([\"brand\",\"gearbox\"])[\"date_crawled\"].count().unstack(\"gearbox\")\n",
"a.plot(kind=\"bar\",stacked=True)\n",
"plt.xlabel(\"Popular Brands\")\n",
"plt.ylabel(\"Total Frequency\")\n",
"plt.xticks(rotation=30)\n",
"plt.title(\"Frequency of Popular Brands\")\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The most common listings seems to be of Volkswagen and the least number of listings are for Audi. In most of these brands,more manual cars are up for sale than automatic cars.\n",
"\n",
"If we compare the prices and frequency of most common brands, we see that on **ebay**, **more number of listings are for cheaper vehicles**."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let us now compare **odometer(km) i.e. total distance traveled of the common brands.**"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"v=(data[\"brand\"].isin(popular_brands))\n",
"a=data[v].groupby(\"brand\")[\"odometer(km)\"].mean()\n",
"a.plot(kind=\"bar\")\n",
"plt.xlabel(\"Common Brands\")\n",
"plt.ylabel(\"Average Distance(km)\")\n",
"plt.xticks(rotation=30)\n",
"plt.ylim(125000,)\n",
"plt.title(\"Average Distance of Popular Brands\")\n",
"plt.show()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Although the difference in average distance between different brands is not huge but we can use this bar chart to infer that on average, **BMW has most distance traveled.** Maybe, due to this reason, out of the luxury brands (BMW, Audi ,Mercedes), we compared, BMW was cheaper on average."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Now let us shift some gears(pun intended) and switch our analysis to look at different models for all brands**.\n",
"We will look for most common brand/model combinations."
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Most common Brand/Model combinations:\n",
"\n"
]
},
{
"data": {
"text/html": [
"