From 2fe576ce1b887acb7e680c80ecb6c825babf7017 Mon Sep 17 00:00:00 2001 From: Ryanvandenakker Date: Wed, 10 Jul 2024 23:59:22 +0700 Subject: [PATCH] Attempted Challenge --- data/clean/clean_cobify.csv | 389 ++++ data/{ => raw}/measurements.csv | 0 data/{ => raw}/measurements2.xlsx | Bin notebook/Data Cleaning.ipynb | 2214 ++++++++++++++++++++++ notebook/Exploratory Data Analysis.ipynb | 510 +++++ 5 files changed, 3113 insertions(+) create mode 100644 data/clean/clean_cobify.csv rename data/{ => raw}/measurements.csv (100%) rename data/{ => raw}/measurements2.xlsx (100%) create mode 100644 notebook/Data Cleaning.ipynb create mode 100644 notebook/Exploratory Data Analysis.ipynb diff --git a/data/clean/clean_cobify.csv b/data/clean/clean_cobify.csv new file mode 100644 index 0000000..a81d8e5 --- /dev/null +++ b/data/clean/clean_cobify.csv @@ -0,0 +1,389 @@ +distance,consume,speed,temp_inside,temp_outside,gas_type,ac,rain,sun,fuel_consumed,cost_of_trip 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Cleaning.ipynb @@ -0,0 +1,2214 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "37510f7f-1172-45bf-9fde-55ee23707889", + "metadata": {}, + "source": [ + "# Data Cleaning" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "de2a4853-bcb8-4bdc-bfa0-ee45b1544dad", + "metadata": {}, + "outputs": [], + "source": [ + "#Import the libraries\n", + "import pandas as pd\n", + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "575c3058-3ae2-4525-aea5-0935d41ed765", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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columndescription
0distancedistance (km)
1consumeconsumption (L/100Km)
2speedspeed (Km/h)
3temp_insidetemperature inside (°C)
4temp_outsidetemperature outside (°C)
5specialsanything special that happened
6gas_typegas type used
7ACwhether the AC was on or off
8rainwhether it was raining
9sunwhether it was sunny
10refill litershow much gas was bought (L)
11refill gasgas type that was used
\n", + "
" + ], + "text/plain": [ + " column description\n", + "0 distance distance (km)\n", + "1 consume consumption (L/100Km)\n", + "2 speed speed (Km/h)\n", + "3 temp_inside temperature inside (°C)\n", + "4 temp_outside temperature outside (°C)\n", + "5 specials anything special that happened\n", + "6 gas_type gas type used\n", + "7 AC whether the AC was on or off\n", + "8 rain whether it was raining\n", + "9 sun whether it was sunny\n", + "10 refill liters how much gas was bought (L)\n", + "11 refill gas gas type that was used" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#provide context for the column\n", + "data = {\n", + " 'column':['distance', 'consume', 'speed', 'temp_inside', 'temp_outside', 'specials', 'gas_type', 'AC', 'rain', 'sun', 'refill liters', 'refill gas'],\n", + " 'description':['distance (km)', 'consumption (L/100Km)', 'speed (Km/h)', 'temperature inside (°C)', 'temperature outside (°C)', 'anything special that happened', 'gas type used', 'whether the AC was on or off', 'whether it was raining', 'whether it was sunny', 'how much gas was bought (L)', 'gas type that was used']\n", + "}\n", + "\n", + "datainfo = pd.DataFrame(data)\n", + "datainfo" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "id": "0b9fbc8b-8143-432a-b6f9-f64d7328bcec", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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distanceconsumespeedtemp_insidetemp_outsidespecialsgas_typeACrainsunrefill litersrefill gas
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" + ], + "text/plain": [ + " distance consume speed temp_inside temp_outside specials gas_type AC \\\n", + "0 28 5 26 21,5 12 NaN E10 0 \n", + "1 12 4,2 30 21,5 13 NaN E10 0 \n", + "2 11,2 5,5 38 21,5 15 NaN E10 0 \n", + "3 12,9 3,9 36 21,5 14 NaN E10 0 \n", + "4 18,5 4,5 46 21,5 15 NaN E10 0 \n", + "\n", + " rain sun refill liters refill gas \n", + "0 0 0 45 E10 \n", + "1 0 0 NaN NaN \n", + "2 0 0 NaN NaN \n", + "3 0 0 NaN NaN \n", + "4 0 0 NaN NaN " + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Load the csv dataset\n", + "df = pd.read_csv(\"../data/raw/measurements.csv\")\n", + "df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "7433763b-0c07-4c91-9912-9c337a09529a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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distanceconsumespeedtemp_insidetemp_outsidespecialsgas_typeACrainsunrefill litersrefill gas
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" + ], + "text/plain": [ + " distance consume speed temp_inside temp_outside specials gas_type AC \\\n", + "0 28.0 5.0 26 21.5 12 NaN E10 0 \n", + "1 12.0 4.2 30 21.5 13 NaN E10 0 \n", + "2 11.2 5.5 38 21.5 15 NaN E10 0 \n", + "3 12.9 3.9 36 21.5 14 NaN E10 0 \n", + "4 18.5 4.5 46 21.5 15 NaN E10 0 \n", + "\n", + " rain sun refill liters refill gas \n", + "0 0 0 45.0 E10 \n", + "1 0 0 NaN NaN \n", + "2 0 0 NaN NaN \n", + "3 0 0 NaN NaN \n", + "4 0 0 NaN NaN " + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Load the excel dataset\n", + "df1 = pd.read_excel(\"../data/raw/measurements2.xlsx\")\n", + "df1.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "6ab9fcfd-4f64-4153-919a-118d02c51091", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(388, 12)" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "bb21d6c5-3aaa-432b-a433-a4f24649a36f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(388, 12)" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df1.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "448d034b-71cf-4442-adbf-513c9ad10cf7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "distance 0\n", + "consume 0\n", + "speed 0\n", + "temp_inside 12\n", + "temp_outside 0\n", + "specials 295\n", + "gas_type 0\n", + "AC 0\n", + "rain 0\n", + "sun 0\n", + "refill liters 375\n", + "refill gas 375\n", + "dtype: int64" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.isna().sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "86fa782f-d9f6-447e-8d02-4de3555639b3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "distance 0\n", + "consume 0\n", + "speed 0\n", + "temp_inside 12\n", + "temp_outside 0\n", + "specials 295\n", + "gas_type 0\n", + "AC 0\n", + "rain 0\n", + "sun 0\n", + "refill liters 375\n", + "refill gas 375\n", + "dtype: int64" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df1.isna().sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "112ff8de-7a1c-4d83-8bf6-866763fb889b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "distance object\n", + "consume object\n", + "speed int64\n", + "temp_inside object\n", + "temp_outside int64\n", + "specials object\n", + "gas_type object\n", + "AC int64\n", + "rain int64\n", + "sun int64\n", + "refill liters object\n", + "refill gas object\n", + "dtype: object" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "22176b9f-270a-4833-90b3-229c2f49bec5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "distance float64\n", + "consume float64\n", + "speed int64\n", + "temp_inside float64\n", + "temp_outside int64\n", + "specials object\n", + "gas_type object\n", + "AC int64\n", + "rain int64\n", + "sun int64\n", + "refill liters float64\n", + "refill gas object\n", + "dtype: object" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df1.dtypes" + ] + }, + { + "cell_type": "markdown", + "id": "2c5497be-a757-4ecf-938c-f3c0af6d81a7", + "metadata": {}, + "source": [ + "Based on this observation, we can see that the two datasets are the same. However, the data enclosed in the excel file seems easier to work with as values in each columns are in the correct types." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "d533d703-8666-45b5-9dba-95fc81a8083b", + "metadata": {}, + "outputs": [], + "source": [ + "#Lets make a copy of the original dataset\n", + "measurement = df1.copy()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "2d33fec6-4755-40db-8018-92ae9af1fe0c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " distance consume speed temp_inside temp_outside specials gas_type ac \\\n", + "0 28.0 5.0 26 21.5 12 NaN E10 0 \n", + "1 12.0 4.2 30 21.5 13 NaN E10 0 \n", + "2 11.2 5.5 38 21.5 15 NaN E10 0 \n", + "3 12.9 3.9 36 21.5 14 NaN E10 0 \n", + "4 18.5 4.5 46 21.5 15 NaN E10 0 \n", + "\n", + " rain sun refill_liters refill_gas \n", + "0 0 0 45.0 E10 \n", + "1 0 0 NaN NaN \n", + "2 0 0 NaN NaN \n", + "3 0 0 NaN NaN \n", + "4 0 0 NaN NaN " + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#define a function to clean the columns of the dataset\n", + "def clean_cols(df):\n", + " df.columns = df.columns.str.replace(' ', '_').str.lower()\n", + "\n", + " return df\n", + "\n", + "\n", + "#apply the function to the 'measurements' df\n", + "measurement = clean_cols(measurement)\n", + "measurement.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "2b44571c-9397-45cc-a5b6-15ebdd5350b5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "distance 0\n", + "consume 0\n", + "speed 0\n", + "temp_inside 12\n", + "temp_outside 0\n", + "specials 295\n", + "gas_type 0\n", + "ac 0\n", + "rain 0\n", + "sun 0\n", + "refill_liters 375\n", + "refill_gas 375\n", + "dtype: int64" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "measurement.isna().sum()" + ] + }, + { + "cell_type": "markdown", + "id": "87525957-f8ac-4cd4-8601-52c23bfaadd6", + "metadata": {}, + "source": [ + "For both 'refill_liters' and 'refill_gas', we can see that there are 375 missing values out of 388 rows. As majority of teh values in these two columns are missing, none of the fill methods would be appropriate. Likewise, the 'specials' column has 295 missing values and does not really provide additional information. Therefore, 'refill_liters', 'refill_gas', and 'specials' will be dropeed from the dataset." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "fa40d92c-e053-4cd8-942a-b8ee713a9840", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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distanceconsumespeedtemp_insidetemp_outsidegas_typeacrainsun
028.05.02621.512E10000
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" + ], + "text/plain": [ + " distance consume speed temp_inside temp_outside gas_type ac rain sun\n", + "0 28.0 5.0 26 21.5 12 E10 0 0 0\n", + "1 12.0 4.2 30 21.5 13 E10 0 0 0\n", + "2 11.2 5.5 38 21.5 15 E10 0 0 0\n", + "3 12.9 3.9 36 21.5 14 E10 0 0 0\n", + "4 18.5 4.5 46 21.5 15 E10 0 0 0" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cols_to_drop = ['refill_liters', 'refill_gas', 'specials']\n", + "measurement = measurement.drop(cols_to_drop, axis = 1)\n", + "measurement.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "db6b32eb-2e65-48e9-a78b-c76043d91469", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "distance 0\n", + "consume 0\n", + "speed 0\n", + "temp_inside 12\n", + "temp_outside 0\n", + "gas_type 0\n", + "ac 0\n", + "rain 0\n", + "sun 0\n", + "dtype: int64" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "measurement.isna().sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "aa521fcc-7e54-4709-bcc7-77d505900c50", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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distanceconsumespeedtemp_insidetemp_outsidegas_typeacrainsun
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9511.85.352NaN11SP98000
9715.75.333NaN9SP98000
9812.95.735NaN9SP98000
996.44.437NaN10SP98000
1005.34.134NaN9SP98000
10218.85.062NaN9SP98010
20122.23.842NaN15SP98000
20312.64.133NaN17SP98000
26124.53.950NaN15E10001
26722.94.029NaN21E10000
26816.03.842NaN8E10000
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" + ], + "text/plain": [ + " distance consume speed temp_inside temp_outside gas_type ac rain \\\n", + "93 12.4 4.7 43 NaN 10 SP98 0 0 \n", + "95 11.8 5.3 52 NaN 11 SP98 0 0 \n", + "97 15.7 5.3 33 NaN 9 SP98 0 0 \n", + "98 12.9 5.7 35 NaN 9 SP98 0 0 \n", + "99 6.4 4.4 37 NaN 10 SP98 0 0 \n", + "100 5.3 4.1 34 NaN 9 SP98 0 0 \n", + "102 18.8 5.0 62 NaN 9 SP98 0 1 \n", + "201 22.2 3.8 42 NaN 15 SP98 0 0 \n", + "203 12.6 4.1 33 NaN 17 SP98 0 0 \n", + "261 24.5 3.9 50 NaN 15 E10 0 0 \n", + "267 22.9 4.0 29 NaN 21 E10 0 0 \n", + "268 16.0 3.8 42 NaN 8 E10 0 0 \n", + "\n", + " sun \n", + "93 0 \n", + "95 0 \n", + "97 0 \n", + "98 0 \n", + "99 0 \n", + "100 0 \n", + "102 0 \n", + "201 0 \n", + "203 0 \n", + "261 1 \n", + "267 0 \n", + "268 0 " + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "measurement[measurement['temp_inside'].isnull()]" + ] + }, + { + "cell_type": "markdown", + "id": "1a70cca2-6c95-4b73-97ac-bbbd1befc43d", + "metadata": {}, + "source": [ + "Finally, the 'temp_inside' column still contains null values. As there are only 12 null values and it is numerical, we will replace null values with the mean" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "ab8d8554-73ba-4848-aa8e-c5e5b1096110", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "21.929521276595743" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#calculate the mean of values in 'temp_inside'\n", + "mean = measurement['temp_inside'].mean()\n", + "mean" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "a70d2596-1ccc-4402-aa59-acf2e5f128a4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "21.9" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#round mean to 1 decimal place\n", + "rounded_mean = round(mean, 1)\n", + "rounded_mean" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "c74da35f-a57b-4de0-836d-79306fb392d9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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distanceconsumespeedtemp_insidetemp_outsidegas_typeacrainsun
028.05.02621.512E10000
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312.93.93621.514E10000
418.54.54621.515E10000
\n", + "
" + ], + "text/plain": [ + " distance consume speed temp_inside temp_outside gas_type ac rain sun\n", + "0 28.0 5.0 26 21.5 12 E10 0 0 0\n", + "1 12.0 4.2 30 21.5 13 E10 0 0 0\n", + "2 11.2 5.5 38 21.5 15 E10 0 0 0\n", + "3 12.9 3.9 36 21.5 14 E10 0 0 0\n", + "4 18.5 4.5 46 21.5 15 E10 0 0 0" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#replacing null values in 'temp_inside' with mean \n", + "measurement['temp_inside'] = measurement['temp_inside'].fillna(rounded_mean)\n", + "measurement.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "e20f7ee9-234d-4b4c-accc-362ea7ed5551", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "distance 0\n", + "consume 0\n", + "speed 0\n", + "temp_inside 0\n", + "temp_outside 0\n", + "gas_type 0\n", + "ac 0\n", + "rain 0\n", + "sun 0\n", + "dtype: int64" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "measurement.isna().sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "a74f0845-bee8-4aff-bf60-6d42f5414807", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "21.9" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Check to make sure the missing values have been correctly replaced by the mean\n", + "measurement['temp_inside'].iloc[261]" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "5e18c816-b0c8-44ce-b18a-82dff3a79f16", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([0, 1])" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "measurement['ac'].unique()" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "b4cffeab-d203-48e8-a2c4-98ab765c07cc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([0, 1])" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "measurement['rain'].unique()" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "6835d935-e3dd-4d6d-811d-867c4b5ad43d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([0, 1])" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "measurement['sun'].unique()" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "825cfdee-68c6-4ae1-9be4-6d53f2d399f9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['E10', 'SP98'], dtype=object)" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "measurement['gas_type'].unique()" + ] + }, + { + "cell_type": "markdown", + "id": "c57cf8ad-1631-45b1-9b61-297293a517d2", + "metadata": {}, + "source": [ + "Here are the current average prices for the two fuel types in the Netherlands:\n", + "\n", + "- E10 = €1.981\n", + "- SP98 = €2.219" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "69d0df4d-7332-4e07-88ea-490ba4042fb2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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distanceconsumespeedtemp_insidetemp_outsidegas_typeacrainsunfuel_consumed
028.05.02621.512E100001.4000
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\n", + "
" + ], + "text/plain": [ + " distance consume speed temp_inside temp_outside gas_type ac rain \\\n", + "0 28.0 5.0 26 21.5 12 E10 0 0 \n", + "1 12.0 4.2 30 21.5 13 E10 0 0 \n", + "2 11.2 5.5 38 21.5 15 E10 0 0 \n", + "3 12.9 3.9 36 21.5 14 E10 0 0 \n", + "4 18.5 4.5 46 21.5 15 E10 0 0 \n", + "\n", + " sun fuel_consumed \n", + "0 0 1.4000 \n", + "1 0 0.5040 \n", + "2 0 0.6160 \n", + "3 0 0.5031 \n", + "4 0 0.8325 " + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#we can create a column of how much fuel was consumed in each trip\n", + "measurement['fuel_consumed'] = measurement['distance'] * measurement['consume']/100\n", + "measurement.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "4df2935f-fcac-4f76-a99a-1f021caa9306", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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distanceconsumespeedtemp_insidetemp_outsidegas_typeacrainsunfuel_consumedcost_of_trip
028.05.02621.512E100001.40002.773400
112.04.23021.513E100000.50400.998424
211.25.53821.515E100000.61601.220296
312.93.93621.514E100000.50310.996641
418.54.54621.515E100000.83251.649183
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" + ], + "text/plain": [ + " distance consume speed temp_inside temp_outside gas_type ac rain \\\n", + "0 28.0 5.0 26 21.5 12 E10 0 0 \n", + "1 12.0 4.2 30 21.5 13 E10 0 0 \n", + "2 11.2 5.5 38 21.5 15 E10 0 0 \n", + "3 12.9 3.9 36 21.5 14 E10 0 0 \n", + "4 18.5 4.5 46 21.5 15 E10 0 0 \n", + "\n", + " sun fuel_consumed cost_of_trip \n", + "0 0 1.4000 2.773400 \n", + "1 0 0.5040 0.998424 \n", + "2 0 0.6160 1.220296 \n", + "3 0 0.5031 0.996641 \n", + "4 0 0.8325 1.649183 " + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#calculate the cost of each trip based on fuel_consumed and the gas_type\n", + "def trip_cost(df):\n", + " if df['gas_type'] == 'E10':\n", + " return df['fuel_consumed'] * 1.981\n", + " else:\n", + " return df['fuel_consumed'] * 2.219\n", + "\n", + "measurement['cost_of_trip'] = measurement.apply(trip_cost, axis = 1)\n", + "measurement.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "96db2177-0316-431b-b608-d65fbc966b6b", + "metadata": {}, + "outputs": [], + "source": [ + "measurement_numerical = measurement.select_dtypes(include=['number'])\n", + "measurement_categorical = measurement.select_dtypes(include=['object'])" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "id": "6a9ed619-96d3-4000-b3f5-0e932eefea30", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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distanceconsumespeedtemp_insidetemp_outsideacrainsunfuel_consumedcost_of_trip
count388.000000388.000000388.000000388.000000388.000000388.000000388.000000388.000000388.000000388.000000
mean19.6528354.91237141.92783521.92860811.3582470.0773200.1237110.0824740.9352941.976397
std22.6678371.03317213.5985240.9946796.9915420.2674430.3296770.2754411.1159672.395362
min1.3000003.30000014.00000019.000000-5.0000000.0000000.0000000.0000000.1200000.237720
25%11.8000004.30000032.75000021.5000007.0000000.0000000.0000000.0000000.5516501.169384
50%14.6000004.70000040.50000022.00000010.0000000.0000000.0000000.0000000.6806001.455664
75%19.0000005.30000050.00000022.50000016.0000000.0000000.0000000.0000000.9165001.915107
max216.10000012.20000090.00000025.50000031.0000001.0000001.0000001.00000011.45330025.414873
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" + ], + "text/plain": [ + " distance consume speed temp_inside temp_outside \\\n", + "count 388.000000 388.000000 388.000000 388.000000 388.000000 \n", + "mean 19.652835 4.912371 41.927835 21.928608 11.358247 \n", + "std 22.667837 1.033172 13.598524 0.994679 6.991542 \n", + "min 1.300000 3.300000 14.000000 19.000000 -5.000000 \n", + "25% 11.800000 4.300000 32.750000 21.500000 7.000000 \n", + "50% 14.600000 4.700000 40.500000 22.000000 10.000000 \n", + "75% 19.000000 5.300000 50.000000 22.500000 16.000000 \n", + "max 216.100000 12.200000 90.000000 25.500000 31.000000 \n", + "\n", + " ac rain sun fuel_consumed cost_of_trip \n", + "count 388.000000 388.000000 388.000000 388.000000 388.000000 \n", + "mean 0.077320 0.123711 0.082474 0.935294 1.976397 \n", + "std 0.267443 0.329677 0.275441 1.115967 2.395362 \n", + "min 0.000000 0.000000 0.000000 0.120000 0.237720 \n", + "25% 0.000000 0.000000 0.000000 0.551650 1.169384 \n", + "50% 0.000000 0.000000 0.000000 0.680600 1.455664 \n", + "75% 0.000000 0.000000 0.000000 0.916500 1.915107 \n", + "max 1.000000 1.000000 1.000000 11.453300 25.414873 " + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "measurement_numerical.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "id": "d2822187-5cf6-42b2-b522-5d13a5a1cd71", + "metadata": {}, + "outputs": [], + "source": [ + "measurement.to_csv('clean_cobify.csv', index = False)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "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": "3.11.7" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebook/Exploratory Data Analysis.ipynb b/notebook/Exploratory Data Analysis.ipynb new file mode 100644 index 0000000..a059e46 --- /dev/null +++ b/notebook/Exploratory Data Analysis.ipynb @@ -0,0 +1,510 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "1e002810-a050-4265-ab50-4d09177dd87a", + "metadata": {}, + "source": [ + "# Explorattory Data Analysis (EDA)" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "fdda6f1a-5465-42a4-b556-5c4016791aee", + "metadata": {}, + "outputs": [], + "source": [ + "#Import the libraries\n", + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "f8df7651-3145-4b74-991f-601bdd5e011a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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distanceconsumespeedtemp_insidetemp_outsidegas_typeacrainsunfuel_consumedcost_of_trip
028.05.02621.512E100001.40002.773400
112.04.23021.513E100000.50400.998424
211.25.53821.515E100000.61601.220296
312.93.93621.514E100000.50310.996641
418.54.54621.515E100000.83251.649183
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" + ], + "text/plain": [ + " distance consume speed temp_inside temp_outside gas_type ac rain \\\n", + "0 28.0 5.0 26 21.5 12 E10 0 0 \n", + "1 12.0 4.2 30 21.5 13 E10 0 0 \n", + "2 11.2 5.5 38 21.5 15 E10 0 0 \n", + "3 12.9 3.9 36 21.5 14 E10 0 0 \n", + "4 18.5 4.5 46 21.5 15 E10 0 0 \n", + "\n", + " sun fuel_consumed cost_of_trip \n", + "0 0 1.4000 2.773400 \n", + "1 0 0.5040 0.998424 \n", + "2 0 0.6160 1.220296 \n", + "3 0 0.5031 0.996641 \n", + "4 0 0.8325 1.649183 " + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Load the clean dataset\n", + "df = pd.read_csv(\"../data/clean/clean_cobify.csv\")\n", + "df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "d7ff6107-3efe-4048-b1ee-c7405e4dbee1", + "metadata": {}, + "outputs": [], + "source": [ + "df_num = df.select_dtypes(include=['number'])\n", + "df_cat = df.select_dtypes(include=['object'])" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "97b4cb09-937d-4eb9-b895-6397e3dc10fd", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/kz/yfq5dclx7cd6vx_pj9dj5d6m0000gn/T/ipykernel_3792/2572514798.py:5: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " sns.barplot(x=gas_type_counts.index, y=gas_type_counts.values, palette=\"viridis\")\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Plot a graph displaying the frequency of each gas_type\n", + "gas_type_counts = df['gas_type'].value_counts()\n", + "\n", + "plt.figure(figsize=(8, 6))\n", + "sns.barplot(x=gas_type_counts.index, y=gas_type_counts.values, palette=\"viridis\")\n", + "plt.title('Count of Each Fuel Type')\n", + "plt.xlabel('Fuel Type')\n", + "plt.ylabel('Count')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "e32ba4fe-c0c8-4e55-bd2a-229e47acf805", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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", 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XX6N+5JFH+JxvAAC8yKuh/vDDD9WlSxdv3iQAAB2aR099T5482e26ZVnKz8/XgQMHtHTpUq8MBgAAPAx1aGio2/VOnTqpX79+WrFihRISErwyGAAA8DDU69ev9/YcAACgAR6F+pLs7GwdO3ZMNptNAwYM0C233OKtuQAAgDwMdWFhoaZOnao9e/bommuukWVZKikp0ejRo7Vp0yb17NnT23MCANAhefSu7/nz56u0tFRHjx7V999/r+LiYh05ckSlpaV64oknvD0jAAAdlkePqN977z3t2LFDN954o2vbgAED9Mc//pE3kwEA4EUePaKuq6ur9x3UkuTv76+6uroWDwUAAC7yKNQ///nPtWDBAn3zzTeubWfOnNFvf/tbjRkzxmvDAQDQ0XkU6vT0dJWVlSkmJkY/+clPdMMNNyg2NlZlZWVas2aNt2cEAKDD8ug16t69eysnJ0cZGRn67LPPZFmWBgwYoLFjx3p7PgAAOrRmPaLetWuXBgwYoNLSUknSuHHjNH/+fD3xxBO69dZbddNNN+n//u//WmVQAAA6omaFOi0tTY8//ri6d+9eb19oaKhmz56t1NRUrw0HAEBH16xQ//3vf9edd97Z6P6EhARlZ2e3eCgAAHBRs0L97bffNvhjWZd07txZ3333XYuHAgAAFzUr1Ndee60OHz7c6P5Dhw4pMjKyxUMBAICLmhXqu+66S7/73e90/vz5evsqKyu1bNky3X333V4bDgCAjq5ZP5717LPPavPmzerbt6/mzZunfv36yWaz6dixY/rjH/+o2tpaLVmypLVmBQCgw2lWqO12u/bt26ff/OY3SkpKkmVZkiSbzabx48dr7dq1stvtrTIoAAAdUbM/8KRPnz569913VVxcrJMnT8qyLMXFxalHjx6tMR8AAB2aR59MJkk9evTQrbfe6s1ZAADAD3j0Wd8AAKBtEGoAAAxGqAEAMJjxoT5z5oweeeQRhYeHKzg4WEOGDHH7mFLLsuR0OhUVFaWgoCDFx8fr6NGjPpwYAADvMTrUxcXFuv322+Xv76+//vWv+vTTT/Xiiy/qmmuucR2zatUqpaamKj09XVlZWXI4HBo3bpzKysp8NzgAAF7i8bu+28LKlSvVu3dvrV+/3rUtJibG9WvLspSWlqYlS5Zo8uTJkqQNGzbIbrdr48aNmj17dluPDACAVxn9iHrr1q0aNmyYHnjgAfXq1Uu33HKLXn31Vdf+3NxcFRQUKCEhwbUtMDBQo0aN0r59+xq93aqqKpWWlrpdAAAwkdGh/vLLL/Xyyy8rLi5O77//vn7961/riSee0H/+539KkgoKCiSp3qeh2e12176GpKSkKDQ01HXp3bt36y0CAIAWMDrUdXV1+ulPf6rk5GTdcsstmj17th5//HG9/PLLbsfZbDa365Zl1dt2uaSkJJWUlLgup0+fbpX5AQBoKaNfo46MjNSAAQPctt14443685//LElyOBySLj6yvvzrNQsLC3/0M8cDAwMVGBjYChMDHdOxY8c8PjciIkLR0dFenAa4uhgd6ttvv13Hjx932/b555+rT58+kqTY2Fg5HA5lZGTolltukSRVV1crMzNTK1eubPN5gY6msuSsJJseeeQRj28jKChYn312jFgDjTA61L/97W81YsQIJScna8qUKfr444+1bt06rVu3TtLFp7wTExOVnJysuLg4xcXFKTk5WcHBwZo2bZqPpweufjUVZZIsDZn2tHrG9m/2+aX5p7T/teUqKioi1EAjjA71rbfeqi1btigpKUkrVqxQbGys0tLS9PDDD7uOWbx4sSorKzVnzhwVFxdr+PDh2r59u0JCQnw4OdCxdOsVrbDofr4eA7gqGR1qSbr77rt19913N7rfZrPJ6XTK6XS23VAAALQRo9/1DQBAR0eoAQAwGKEGAMBghBoAAIMRagAADEaoAQAwGKEGAMBghBoAAIMRagAADEaoAQAwGKEGAMBghBoAAIMRagAADEaoAQAwGKEGAMBghBoAAIMRagAADEaoAQAwGKEGAMBghBoAAIMRagAADEaoAQAwGKEGAMBghBoAAIMRagAADEaoAQAwGKEGAMBghBoAAIMRagAADEaoAQAwGKEGAMBghBoAAIMRagAADEaoAQAwGKEGAMBghBoAAIMRagAADEaoAQAwGKEGAMBghBoAAIMRagAADEaoAQAwGKEGAMBghBoAAIMRagAADEaoAQAwGKEGAMBghBoAAIMRagAADEaoAQAwWLsKdUpKimw2mxITE13bLMuS0+lUVFSUgoKCFB8fr6NHj/puSAAAvKjdhDorK0vr1q3TzTff7LZ91apVSk1NVXp6urKysuRwODRu3DiVlZX5aFIAALynXYS6vLxcDz/8sF599VX16NHDtd2yLKWlpWnJkiWaPHmyBg4cqA0bNqiiokIbN2704cQAAHhHuwj13Llz9Ytf/EJjx451256bm6uCggIlJCS4tgUGBmrUqFHat29fo7dXVVWl0tJStwsAACbq7OsBmrJp0ybl5OQoKyur3r6CggJJkt1ud9tut9v11VdfNXqbKSkpWr58uXcHBQCgFRj9iPr06dNasGCB3nzzTXXp0qXR42w2m9t1y7LqbbtcUlKSSkpKXJfTp097bWYAALzJ6EfU2dnZKiws1NChQ13bamtrtXfvXqWnp+v48eOSLj6yjoyMdB1TWFhY71H25QIDAxUYGNh6gwMA4CVGP6IeM2aMDh8+rIMHD7ouw4YN08MPP6yDBw/q+uuvl8PhUEZGhuuc6upqZWZmasSIET6cHAAA7zD6EXVISIgGDhzotq1r164KDw93bU9MTFRycrLi4uIUFxen5ORkBQcHa9q0ab4YGQAArzI61Fdi8eLFqqys1Jw5c1RcXKzhw4dr+/btCgkJ8fVoAAC0WLsL9Z49e9yu22w2OZ1OOZ1On8wDAEBrMvo1agAAOjpCDQCAwQg1AAAGI9QAABiMUAMAYDBCDQCAwQg1AAAGI9QAABiMUAMAYDBCDQCAwQg1AAAGI9QAABiMUAMAYDBCDQCAwQg1AAAGI9QAABiMUAMAYDBCDQCAwQg1AAAGI9QAABiMUAMAYDBCDQCAwQg1AAAGI9QAABiMUAMAYDBCDQCAwQg1AAAGI9QAABiMUAMAYDBCDQCAwQg1AAAGI9QAABiMUAMAYDBCDQCAwQg1AAAGI9QAABiMUAMAYDBCDQCAwTr7egCYJS8vT0VFRR6dGxERoejoaC9PBAAdG6GGS15envr3v1GVlRUenR8UFKzPPjtGrAHAiwg1XIqKilRZWaHhjy5T98iYZp1bmn9K+19brqKiIkINAF5EqFFP98gYhUX38/UYAADxZjIAAIxGqAEAMBihBgDAYIQaAACDEWoAAAxGqAEAMBihBgDAYIQaAACDGR3qlJQU3XrrrQoJCVGvXr00adIkHT9+3O0Yy7LkdDoVFRWloKAgxcfH6+jRoz6aGAAA7zI61JmZmZo7d64++ugjZWRk6MKFC0pISNC5c+dcx6xatUqpqalKT09XVlaWHA6Hxo0bp7KyMh9ODgCAdxj9EaLvvfee2/X169erV69eys7O1h133CHLspSWlqYlS5Zo8uTJkqQNGzbIbrdr48aNmj17ti/GBgDAa4x+RP1DJSUlkqSwsDBJUm5urgoKCpSQkOA6JjAwUKNGjdK+ffsavZ2qqiqVlpa6XQAAMFG7CbVlWVq4cKFGjhypgQMHSpIKCgokSXa73e1Yu93u2teQlJQUhYaGui69e/duvcEBAGiBdhPqefPm6dChQ/rv//7vevtsNpvbdcuy6m27XFJSkkpKSlyX06dPe31eAAC8wejXqC+ZP3++tm7dqr179+q6665zbXc4HJIuPrKOjIx0bS8sLKz3KPtygYGBCgwMbL2BAQDwEqMfUVuWpXnz5mnz5s3atWuXYmNj3fbHxsbK4XAoIyPDta26ulqZmZkaMWJEW48LAIDXGf2Ieu7cudq4caPeeecdhYSEuF53Dg0NVVBQkGw2mxITE5WcnKy4uDjFxcUpOTlZwcHBmjZtmo+nBwCg5YwO9csvvyxJio+Pd9u+fv16zZo1S5K0ePFiVVZWas6cOSouLtbw4cO1fft2hYSEtPG0AAB4n9GhtiyryWNsNpucTqecTmfrDwQAQBsz+jVqAAA6OkINAIDBCDUAAAYj1AAAGIxQAwBgMEINAIDBCDUAAAYj1AAAGIxQAwBgMEINAIDBCDUAAAYj1AAAGIxQAwBgMEINAIDBjP6aS6At5eXlqaioyKNzIyIiFB0d7eWJ0JSW3GcS9xvaB0IN6OJf+P3736jKygqPzg8KCtZnnx3jL/021NL7TOJ+Q/tAqAFJRUVFqqys0PBHl6l7ZEyzzi3NP6X9ry1XUVERf+G3oZbcZxL3G9oPQg1cpntkjMKi+/l6DI8cO3asTc4xTXu+z+CZjvYyFaEG2rnKkrOSbHrkkUc8vo2aqmrvDQS0oo74MhWhBtq5mooySZaGTHtaPWP7N+vc/MMf6sjWdbpw4ULrDAd4WUd8mYpQA1eJbr2im/0UcGn+qdYZBmhlHeklD36OGgAAgxFqAAAMRqgBADAYoQYAwGCEGgAAgxFqAAAMRqgBADAYoQYAwGCEGgAAgxFqAAAMRqgBADAYn/UNAGiWlnzNpNQ+v2rSlwg1AOCKtfRrJqX2+VWTvkSoAQBXrCVfMym136+a9CVCDQBoto70NZO+xpvJAAAwGKEGAMBghBoAAIMRagAADEaoAQAwGO/6hjH4EAUAqI9Qwwh8iAIANIxQwwh8iAIANIxQwyh8iAJwZXipqOMg1ADQzvBSUcdCqAGgneGloo6FUAOAh1ry9LM3nnrmpSLPHDt2zONzffGSAaEGAA+09Olnnnpue5UlZyXZ9Mgjj3h8G7643wg1AHigJU8/89Szb9RUlEmyNGTa0+oZ27/Z5/vqfrtqQr127Vq98MILys/P10033aS0tDT967/+q6/HAnCV4+nn9qdbr+h2dZ9dFaF+6623lJiYqLVr1+r222/Xf/zHf2jChAn69NNPffKvVV+/bgUAuHpcFaFOTU3VY489pl/96leSpLS0NL3//vt6+eWXlZKS0qaz8LoVAMCb2n2oq6urlZ2drWeeecZte0JCgvbt29fm8/C6FQDAm9p9qIuKilRbWyu73e623W63q6CgoMFzqqqqVFVV5bpeUlIiSSotLW3xPOXl5ZKkC9VVulBV2axzL1RfnCk7O9t1O83VqVMn1dXVeXTu8ePHJUnff3W82bOXFuRJ8nz2lvzevv79fb72/K8kSSVnTsi/s63NzvXK+S34s+O/Gd+svV3/uXvpv9fy8nKv9EKSQkJCZLM1MYvVzp05c8aSZO3bt89t++9//3urX79+DZ6zbNkySxIXLly4cOHi00tJSUmTnWv3j6gjIiLk5+dX79FzYWFhvUfZlyQlJWnhwoWu63V1dfr+++8VHh7e9L9smlBaWqrevXvr9OnT6t69e4tuy2Ss8+rREdYosc6rzdWyzpCQkCaPafehDggI0NChQ5WRkaH77rvPtT0jI0P33ntvg+cEBgYqMDDQbds111zj1bm6d+/erv/juVKs8+rREdYosc6rTUdYZ7sPtSQtXLhQ06dP17Bhw3Tbbbdp3bp1ysvL069//WtfjwYAQItcFaF+8MEHdfbsWa1YsUL5+fkaOHCg3n33XfXp08fXowEA0CJXRaglac6cOZozZ46vx1BgYKCWLVtW76n1qw3rvHp0hDVKrPNq01HWKUk2y7IsXw8BAAAa1snXAwAAgMYRagAADEaoAQAwGKH2wN69e3XPPfcoKipKNptNb7/9ttv+b7/9VrNmzVJUVJSCg4N155136sSJE74ZtgVSUlJ06623KiQkRL169dKkSZNcH993iWVZcjqdioqKUlBQkOLj43X06FEfTeyZK1nn5s2bNX78eEVERMhms+ngwYO+GbYFmlpnTU2Nnn76aQ0aNEhdu3ZVVFSUZsyYoW+++caHUzffldyfTqdT/fv3V9euXdWjRw+NHTtW+/fv99HEzXcla7zc7NmzZbPZlJaW1nZDesGVrHPWrFmy2Wxul3/5l3/x0cStg1B74Ny5cxo8eLDS09Pr7bMsS5MmTdKXX36pd955R5988on69OmjsWPH6ty5cz6Y1nOZmZmaO3euPvroI2VkZOjChQtKSEhwW8eqVauUmpqq9PR0ZWVlyeFwaNy4cSorK/Ph5M1zJes8d+6cbr/9dj3//PM+nLRlmlpnRUWFcnJytHTpUuXk5Gjz5s36/PPPNXHiRB9P3jxXcn/27dtX6enpOnz4sD744APFxMQoISFB3333nQ8nv3JXssZL3n77be3fv19RUVE+mLRlrnSdd955p/Lz812Xd99910cTt5IWf9h2ByfJ2rJli+v68ePHLUnWkSNHXNsuXLhghYWFWa+++qoPJvSewsJCS5KVmZlpWZZl1dXVWQ6Hw3r++eddx5w/f94KDQ21XnnlFV+N2WI/XOflcnNzLUnWJ5980vaDedmPrfOSjz/+2JJkffXVV204mXddyTpLSkosSdaOHTvacDLvaWyNX3/9tXXttddaR44csfr06WOtXr3aNwN6SUPrnDlzpnXvvff6bqg2wCNqL7v0rVxdunRxbfPz81NAQIA++OADX43lFZe+ZSwsLEySlJubq4KCAiUkJLiOCQwM1KhRo3zyFaPe8sN1Xq2uZJ0lJSWy2Wxe/4jdttTUOqurq7Vu3TqFhoZq8ODBbTma1zS0xrq6Ok2fPl2LFi3STTfd5KvRvKqx+3LPnj3q1auX+vbtq8cff1yFhYW+GK/VEGov69+/v/r06aOkpCQVFxerurpazz//vAoKCpSfn+/r8TxmWZYWLlyokSNHauDAgZLk+iKU5nzFqOkaWufV6ErWef78eT3zzDOaNm1au/0s5R9b57Zt29StWzd16dJFq1evVkZGhiIiInw0qecaW+PKlSvVuXNnPfHEEz6cznsaW+eECRP0X//1X9q1a5defPFFZWVl6ec//7nbVxm3d1fNJ5OZwt/fX3/+85/12GOPKSwsTH5+fho7dqwmTJjg69FaZN68eTp06FCDzwr88BvHLMtq8beQ+cqPrfNq0tQ6a2pqNHXqVNXV1Wnt2rVtPJ33/Ng6R48erYMHD6qoqEivvvqqpkyZov3796tXr14+mNRzDa0xOztbL730knJyctrt/4s/1Nh9+eCDD7p+PXDgQA0bNkx9+vTRX/7yF02ePLmtx2wdPnza/aqgH7xGfbl//OMfVmFhoWVZlvWzn/3MmjNnThtO5j3z5s2zrrvuOuvLL7902/7FF19YkqycnBy37RMnTrRmzJjRliN6RWPrvNzV8Bp1U+usrq62Jk2aZN18881WUVFRG0/nPVdyf17uhhtusJKTk1t5Ku9qbI2rV6+2bDab5efn57pIsjp16mT16dPHN8O2gCf35eXvnWnveOq7FYWGhqpnz546ceKEDhw40OjXbprKsizNmzdPmzdv1q5duxQbG+u2PzY2Vg6HQxkZGa5t1dXVyszM1IgRI9p6XI81tc6rxZWss6amRlOmTNGJEye0Y8cOhYeH+2DSlvH0/rQsq908XdrUGqdPn65Dhw7p4MGDrktUVJQWLVqk999/30dTN58n9+XZs2d1+vRpRUZGtsGEbYOnvj1QXl6ukydPuq7n5ubq4MGDCgsLU3R0tP7nf/5HPXv2VHR0tA4fPqwFCxZo0qRJbm+6ag/mzp2rjRs36p133lFISIjrdefQ0FAFBQXJZrMpMTFRycnJiouLU1xcnJKTkxUcHKxp06b5ePor19Q6Jen7779XXl6e62eKL/0sp8PhkMPh8M3gzdTUOi9cuKD7779fOTk52rZtm2pra13HhIWFKSAgwJfjX7Gm1nnu3Dk999xzmjhxoiIjI3X27FmtXbtWX3/9tR544AEfT39lmlpjeHh4vX9k+fv7y+FwqF+/fr4Y2SNNrbO8vFxOp1P/9m//psjISJ06dUr//u//roiICN13330+nt6LfPhovt3avXu3JaneZebMmZZlWdZLL71kXXfddZa/v78VHR1tPfvss1ZVVZVvh/ZAQ2uUZK1fv951TF1dnbVs2TLL4XBYgYGB1h133GEdPnzYd0N74ErWuX79+gaPWbZsmc/mbq6m1nnpaf2GLrt37/bp7M3R1DorKyut++67z4qKirICAgKsyMhIa+LEidbHH3/s28Gb4Ur+m/2h9vjjWU2ts6KiwkpISLB69uzp+vt25syZVl5enm8H9zK+PQsAAIPxGjUAAAYj1AAAGIxQAwBgMEINAIDBCDUAAAYj1AAAGIxQAwBgMEINAIDBCDWAFnv99de9+p3Vs2bN0qRJk370mPj4eCUmJnrt9wRMxWd9AwaLj4/XkCFDlJaW5utRftSDDz6ou+66y2u399JLL4kPTQQuItQAWiwoKMj1BSbeEBoa6rXbAto7nvoGDDVr1ixlZmbqpZdeks1mk81m06lTp/Tpp5/qrrvuUrdu3WS32zV9+nQVFRW5zouPj9f8+fOVmJioHj16yG63a926dTp37px++ctfKiQkRD/5yU/017/+1XXOnj17ZLPZ9Je//EWDBw9Wly5dNHz4cB0+fPiKZv3hU99Op1NDhgzRG2+8oZiYGIWGhmrq1KkqKytzHfO///u/GjRokOvbnsaOHatz58651n75U9/nzp3TjBkz1K1bN0VGRurFF1+sN0N1dbUWL16sa6+9Vl27dtXw4cO1Z8+eK/zTBsxFqAFDvfTSS7rtttv0+OOPKz8/X/n5+fL399eoUaM0ZMgQHThwQO+9956+/fZbTZkyxe3cDRs2KCIiQh9//LHmz5+v3/zmN3rggQc0YsQI5eTkaPz48Zo+fboqKirczlu0aJH+8Ic/KCsrS7169dLEiRNVU1Pj0fxffPGF3n77bW3btk3btm1TZmamnn/+eUlSfn6+HnroIT366KM6duyY9uzZo8mTJzf6dPeiRYu0e/dubdmyRdu3b9eePXuUnZ3tdswvf/lL/e1vf9OmTZt06NAhPfDAA7rzzjt14sQJj+YHjOHbL+8C8GNGjRplLViwwHV96dKlVkJCgtsxp0+ftiRZx48fd50zcuRI1/4LFy5YXbt2taZPn+7alp+fb0myPvzwQ8uy/vnVrZs2bXIdc/bsWSsoKMh66623mpxz/fr1VmhoqOv6smXLrODgYKu0tNS1bdGiRdbw4cMty7Ks7OxsS5J16tSpBm9v5syZ1r333mtZlmWVlZVZAQEBDc526c/m5MmTls1ms86cOeN2O2PGjLGSkpKanB8wGa9RA+1Idna2du/erW7dutXb98UXX6hv376SpJtvvtm13c/PT+Hh4Ro0aJBrm91ulyQVFha63cZtt93m+nVYWJj69eunY8eOeTRrTEyMQkJCXNcjIyNdv9/gwYM1ZswYDRo0SOPHj1dCQoLuv/9+9ejRo8F1VVdXNzjbJTk5ObIsy7X+S6qqqhQeHu7R/IApCDXQjtTV1emee+7RypUr6+2LjIx0/drf399tn81mc9tms9lct9eUS8c2V0MzXPr9/Pz8lJGRoX379mn79u1as2aNlixZov379ys2NtbtPOsK3v1dV1cnPz8/ZWdny8/Pz21fQ/+oAdoTXqMGDBYQEKDa2lrX9Z/+9Kc6evSoYmJidMMNN7hdunbt2uLf76OPPnL9uri4WJ9//rn69+/f4tttiM1m0+23367ly5frk08+UUBAgLZs2VLvuBtuuEH+/v4NznbJLbfcotraWhUWFtb7c3E4HK0yP9BWCDVgsJiYGO3fv1+nTp1SUVGR5s6dq++//14PPfSQPv74Y3355Zfavn27Hn30Ubege2rFihXauXOnjhw5olmzZikiIqLJDx7xxP79+5WcnKwDBw4oLy9Pmzdv1nfffacbb7yx3rHdunXTY489pkWLFrnN1qnTP//66tu3rx5++GHNmDFDmzdvVm5urrKysrRy5Uq9++67Xp8faEuEGjDYU089JT8/Pw0YMEA9e/ZUdXW1/va3v6m2tlbjx4/XwIEDtWDBAoWGhrqFy1PPP/+8FixYoKFDhyo/P19bt25VQECAF1birnv37tq7d6/uuusu9e3bV88++6xefPFFTZgwocHjX3jhBd1xxx2aOHGixo4dq5EjR2ro0KFux6xfv14zZszQk08+qX79+mnixInav3+/evfu7fX5gbZks67kBSAAV7U9e/Zo9OjRKi4u9upHgQJoOR5RAwBgMEINoEkTJkxQt27dGrwkJyf7ejzgqsZT3wCadObMGVVWVja4LywsTGFhYW08EdBxEGoAAAzGU98AABiMUAMAYDBCDQCAwQg1AAAGI9QAABiMUAMAYDBCDQCAwQg1AAAG+3/hcBiKYZl7nQAAAABJRU5ErkJggg==", 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", 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", 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", 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", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for col in df_num:\n", + " sns.displot(df_num[col])\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "ee61e927-805c-47a0-9838-fd2aef43e27b", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "e10 = df[df['gas_type'] == 'E10']\n", + "sp98 = df[df['gas_type'] == 'SP98']\n", + "\n", + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(14, 6), sharex=True, sharey=True)\n", + "\n", + "ax1.hist(e10['distance'], bins=50)\n", + "ax1.set_xlabel('Distance')\n", + "ax1.set_ylabel('Number of Trips')\n", + "ax1.set_title('E10')\n", + "\n", + "ax2.hist(sp98['distance'], bins=50)\n", + "ax2.set_xlabel('Distance')\n", + "ax2.set_ylabel('Number of Trips')\n", + "ax2.set_title('SP98')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "afeaa2c7-4772-4aa9-b0b2-693854151d63", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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ABAAAAJByAiIAAACAlBMQAQAAAKScgAgAAAAg5QREAAAAACknIAIAAABIOQERAAAAQMoJiAAAAABSTkAEAAAAkHICIgAAAICUExABAAAApJyACAAAACDlBEQAAAAAKScgAgAAAEg5AREAAABAygmIAAAAAFJOQAQAAACQcgIiAAAAgJQTEAEAAACknIAIAAAAIOUERAAAAAApJyACAAAASDkBEQAAAEDKCYgAAAAAUk5ABAAAAJByAiIAAACAlBMQAQAAAKScgAgAAAAg5QREAAAAACknIAIAAABIOQERAAAAQMoJiAAAAABSTkAEAAAAkHICIgAAAICUExABAAAApJyACAAAACDlBEQAAAAAKScgAgAAAEi5Bh0QffTRR/GTn/wkunfvHq1bt47dd989rrzyytiwYUN2TpIkMW7cuKioqIjWrVvH4MGDY8GCBUWsGgAAAKBxadAB0TXXXBO33npr3HjjjbFw4cKYNGlSXHvttXHDDTdk50yaNCkmT54cN954Y8ydOzfKy8tjyJAhsWrVqiJWDgAAANB4NOiA6Kmnnopjjjkmhg0bFt26dYtvfetbMXTo0Jg3b15EfLx6aMqUKXHZZZfF8OHDo0+fPjF9+vT48MMP48477yxy9QAAAACNQ4MOiA4++OB45JFH4tVXX42IiL/+9a/xxBNPxNe//vWIiFi8eHFUVlbG0KFDs88pKSmJQYMGxZw5cza73Zqamqiurq51AwBg8/RPANC0NeiA6JJLLolvf/vbseeee0aLFi2ib9++MWrUqPj2t78dERGVlZUREVFWVlbreWVlZdnHNmXChAlRWlqavXXu3LlwbwIAoAnQPwFA09agA6K77747fve738Wdd94Zzz//fEyfPj1+/vOfx/Tp02vNy2Qyte4nSbLR2KeNGTMmqqqqsrdly5YVpH4AgKZC/wQATdt2xS7g81x00UVx6aWXxoknnhgREXvvvXcsWbIkJkyYECNGjIjy8vKI+HglUadOnbLPW7FixUarij6tpKQkSkpKCls8AEATon8CgKatQa8g+vDDD6NZs9olNm/ePPsz9927d4/y8vKYOXNm9vG1a9fG7NmzY+DAgfVaKwAAAEBj1aBXEB111FFx9dVXR5cuXaJ3797xwgsvxOTJk+N73/teRHx8atmoUaNi/Pjx0aNHj+jRo0eMHz8+2rRpEyeddFKRqwcAAABoHBp0QHTDDTfET3/60xg5cmSsWLEiKioq4swzz4zLL788O+fiiy+ONWvWxMiRI2PlypVxwAEHxMMPPxzt2rUrYuUAAAAAjUcmSZKk2EUUW3V1dZSWlkZVVVW0b9++2OUAAJvhM7vhaCx/i26XPrjFOW9NHFYPlQBAceT6md2gr0EEAAAAQOEJiAAAAABSTkAEAAAAkHICIgAAAICUExABAAAApJyACAAAACDlBEQAAAAAKScgAgAAAEg5AREAAABAygmIAAAAAFJOQAQAAACQcgIiAAAAgJQTEAEAAACknIAIAAAAIOUERAAAAAApJyACAAAASDkBEQAAAEDKCYgAAAAAUk5ABAAAAJByAiIAAACAlBMQAQAAAKScgAgAAAAg5QREAAAAACknIAIAAABIOQERAAAAQMoJiAAAAABSTkAEAAAAkHICIgAAAICUExABAAAApJyACAAAACDlBEQAAAAAKScgAgAAAEg5AREAAABAygmIAAAAAFJOQAQAAACQcgIiAAAAgJQTEAEAAACknIAIAAAAIOUERAAAAAApJyACAAAASDkBEQAAAEDKCYgAAAAAUk5ABAAAAJByAiIAAACAlBMQAQAAAKScgAgAAAAg5QREAAAAACknIAIAAABIOQERAAAAQMoJiAAAAABSTkAEAAAAkHICIgAAAICUExABAAAApJyACAAAACDlBEQAAAAAKScgAgAAAEg5AREAAABAygmIAAAAAFJOQAQAAACQcgIiAAAAgJSrc0C0bNmyePvtt7P3n3322Rg1alTcdttteS0MAIBtp3cDAHJR54DopJNOilmzZkVERGVlZQwZMiSeffbZ+PGPfxxXXnll3gsEAGDr6d0AgFzUOSB6+eWX48tf/nJERPznf/5n9OnTJ+bMmRN33nlnTJs2Ld/1AQCwDfRuAEAu6hwQrVu3LkpKSiIi4s9//nMcffTRERGx5557xvLly/NbHQAA20TvBgDkos4BUe/evePWW2+Nxx9/PGbOnBlHHHFERES888470bFjx7wXCADA1tO7AQC5qHNAdM0118SvfvWrGDx4cHz729+OfffdNyIi7r///uzyZQAAGga9GwCQi+3q+oTBgwfHu+++G9XV1bHjjjtmx3/wgx9EmzZt8locAADbRu8GAOSizgFRRETz5s1j3bp18fjjj0cmk4mePXtGt27d8lwaAAD5oHcDALakzqeYVVdXx3e/+93YddddY9CgQXHIIYfErrvuGt/5zneiqqqqEDUCALCV9G4AQC7qHBCdccYZ8cwzz8QDDzwQ//znP6OqqioeeOCBmDdvXnz/+98vRI0AAGwlvRsAkIs6n2L24IMPxowZM+Lggw/Ojh1++OHx61//OvurGAAANAx6NwAgF3VeQdSxY8coLS3daLy0tLTWhQ8BACg+vRsAkIs6B0Q/+clPYvTo0bF8+fLsWGVlZVx00UXx05/+NK/FAQCwbfRuAEAu6nyK2S233BKvv/56dO3aNbp06RIREUuXLo2SkpL4xz/+Eb/61a+yc59//vn8VQoAQJ3p3QCAXNQ5IDr22GMLUAYAAIWgdwMAclHngGjs2LGFqAMAgALQuwEAuajzNYgAAAAAaFpyCog6dOgQ7777bkRE7LjjjtGhQ4fN3vLt73//e3znO9+Jjh07Rps2beJLX/pSPPfcc9nHkySJcePGRUVFRbRu3ToGDx4cCxYsyHsdAACNRTF7NwCgccrpFLPrr78+2rVrFxERU6ZMKWQ9taxcuTIOOuigOPTQQ+N///d/Y5dddok33ngjdthhh+ycSZMmxeTJk2PatGnRs2fPuOqqq2LIkCGxaNGibM0AAGlSrN4NAGi8cgqIRowYERERH330UUREHH744VFeXl64qv6fa665Jjp37hxTp07NjnXr1i377yRJYsqUKXHZZZfF8OHDIyJi+vTpUVZWFnfeeWeceeaZBa8RAKChKVbvBgA0XnW6BtF2220XP/zhD6OmpqZQ9dRy//33R//+/eO4446LXXbZJfr27Ru//vWvs48vXrw4KisrY+jQodmxkpKSGDRoUMyZM2ez262pqYnq6upaNwCApiafvZv+CQCatjpfpPqAAw6IF154oRC1bOTNN9+MW265JXr06BEzZsyIs846K84777y4/fbbIyKisrIyIiLKyspqPa+srCz72KZMmDAhSktLs7fOnTsX7k0AABRRvno3/RMANG11/pn7kSNHxoUXXhhvv/129OvXL9q2bVvr8X322SdvxW3YsCH69+8f48ePj4iIvn37xoIFC+KWW26JU045JTsvk8nUel6SJBuNfdqYMWNi9OjR2fvV1dWaHACgScpX76Z/AoCmLeeA6Hvf+15MmTIlTjjhhIiIOO+887KPZTKZbCizfv36vBXXqVOn2GuvvWqN9erVK+65556IiOy59JWVldGpU6fsnBUrVmy0qujTSkpKoqSkJG91AgA0NPnu3fRPANC05RwQTZ8+PSZOnBiLFy8uZD21HHTQQbFo0aJaY6+++mp07do1IiK6d+8e5eXlMXPmzOjbt29ERKxduzZmz54d11xzTb3VCQDQ0BSjdwMAGq+cA6IkSSIisuFMfbjgggti4MCBMX78+Dj++OPj2Wefjdtuuy1uu+22iPj4269Ro0bF+PHjo0ePHtGjR48YP358tGnTJk466aR6qxMAoKEpRu8GADRedboG0edd16cQ9t9//7jvvvtizJgxceWVV0b37t1jypQpcfLJJ2fnXHzxxbFmzZoYOXJkrFy5Mg444IB4+OGHo127dvVaKwBAQ1PfvRsA0Hhlkk++XtqCZs2aRWlp6RYbjffffz8vhdWn6urqKC0tjaqqqmjfvn2xywEANsNndu4K3bs1lr9Ft0sf3OKctyYOq4dKAKA4cv3MrtMKoiuuuCJKS0u3uTgAAApP7wYA5KpOAdGJJ54Yu+yyS6FqAQAgj/RuAECumuU60TnsAACNh94NAKiLnAOiHC9VBABAA6B3AwDqIudTzDZs2FDIOgAAyCO9GwBQFzmvIAIAAACgaRIQAQAAAKScgAgAAAAg5XIKiPbbb79YuXJlRERceeWV8eGHHxa0KAAAtp7eDQCoq5wCooULF8YHH3wQERFXXHFFrF69uqBFAQCw9fRuAEBd5fQrZl/60pfitNNOi4MPPjiSJImf//znsf32229y7uWXX57XAgEAqBu9GwBQVzkFRNOmTYuxY8fGAw88EJlMJv73f/83tttu46dmMhlNBgBAkendAIC6yikg+uIXvxh33XVXREQ0a9YsHnnkkdhll10KWhgAAFtH7wYA1FVOAdGnbdiwoRB1AABQAHo3ACAXdQ6IIiLeeOONmDJlSixcuDAymUz06tUrzj///Nhjjz3yXR8AANtI7wYAbElOv2L2aTNmzIi99tornn322dhnn32iT58+8cwzz0Tv3r1j5syZhagRAICtpHcDAHJR5xVEl156aVxwwQUxceLEjcYvueSSGDJkSN6KAwBg2+jdAIBc1HkF0cKFC+P000/faPx73/te/O1vf8tLUQAA5IfeDQDIRZ0Dop133jnmz5+/0fj8+fP9OgYAQAOjdwMAclHnU8y+//3vxw9+8IN48803Y+DAgZHJZOKJJ56Ia665Ji688MJC1AgAwFbSuwEAuahzQPTTn/402rVrF9ddd12MGTMmIiIqKipi3Lhxcd555+W9QAAAtp7eDQDIRSZJkmRrn7xq1aqIiGjXrl3eCiqG6urqKC0tjaqqqmjfvn2xywEANsNn9rbJZ+/WWP4W3S59cItz3po4rB4qAYDiyPUzu84riD6tsQdDAABponcDADanzhepBgAAAKBpERABAAAApJyACAAAACDl6hQQrVu3Lg499NB49dVXC1UPAAB5oncDAHJVp4CoRYsW8fLLL0cmkylUPQAA5IneDQDIVZ1PMTvllFPiN7/5TSFqAQAgz/RuAEAu6vwz92vXro1///d/j5kzZ0b//v2jbdu2tR6fPHly3ooDAGDb6N0AgFzUOSB6+eWXY7/99ouI2Oh8dsuXAQAaFr0bAJCLOgdEs2bNKkQdAAAUgN4NAMjFVv/M/euvvx4zZsyINWvWREREkiR5KwoAgPzSuwEAn6fOAdF7770XX/va16Jnz57x9a9/PZYvXx4REWeccUZceOGFeS8QAICtp3cDAHJR54DoggsuiBYtWsTSpUujTZs22fETTjghHnroobwWBwDAttG7AQC5qPM1iB5++OGYMWNG7LbbbrXGe/ToEUuWLMlbYQAAbDu9GwCQizqvIPrggw9qffv0iXfffTdKSkryUhQAAPmhdwMAclHngOiQQw6J22+/PXs/k8nEhg0b4tprr41DDz00r8UBALBt9G4AQC7qfIrZtddeG4MHD4558+bF2rVr4+KLL44FCxbE+++/H08++WQhagQAYCvp3QCAXNR5BdFee+0VL774Ynz5y1+OIUOGxAcffBDDhw+PF154IfbYY49C1AgAwFbSuwEAuajzCqKIiPLy8rjiiivyXQsAAAWgdwMAtmSrAqKVK1fGb37zm1i4cGFkMpno1atXnHbaadGhQ4d81wcAwDbSuwEAW1LnU8xmz54d3bt3j1/+8pexcuXKeP/99+OXv/xldO/ePWbPnl2IGgEA2Ep6NwAgF3VeQXT22WfH8ccfH7fccks0b948IiLWr18fI0eOjLPPPjtefvnlvBcJAMDW0bsBALmo8wqiN954Iy688MJsgxER0bx58xg9enS88cYbeS0OAIBto3cDAHJR54Bov/32i4ULF240vnDhwvjSl76Uj5oAAMgTvRsAkIucTjF78cUXs/8+77zz4vzzz4/XX389DjzwwIiIePrpp+Omm26KiRMnFqZKAABypncDAOoqkyRJsqVJzZo1i0wmE1uamslkYv369Xkrrr5UV1dHaWlpVFVVRfv27YtdDgCwGT6zc1MfvVtj+Vt0u/TBLc55a+KweqgEAIoj18/snFYQLV68OG+FAQBQWHo3AKCucgqIunbtWug6AADIE70bAFBXdf6Z+4iIv//97/Hkk0/GihUrYsOGDbUeO++88/JSGAAA+aF3AwC2pM4B0dSpU+Oss86Kli1bRseOHSOTyWQfy2QymgwAgAZE7wYA5KLOAdHll18el19+eYwZMyaaNWtWiJoAAMgTvRsAkIs6dwkffvhhnHjiiRoMAIBGQO8GAOSizp3C6aefHn/4wx8KUQsAAHmmdwMAclHnU8wmTJgQ3/jGN+Khhx6KvffeO1q0aFHr8cmTJ+etOAAAto3eDQDIRZ0DovHjx8eMGTPii1/8YkTERhc6BACg4dC7AQC5qHNANHny5Pjtb38bp556agHKAQAgn/RuAEAu6nwNopKSkjjooIMKUQsAAHmmdwMAclHngOj888+PG264oRC1AACQZ3o3ACAXdT7F7Nlnn41HH300Hnjggejdu/dGFzq8995781YcAADbRu8GAOSizgHRDjvsEMOHDy9ELQAA5JneDQDIRZ0DoqlTpxaiDgAACkDvBgDkos7XIAIAAACgaanzCqLu3btHJpPZ7ONvvvnmNhUEAED+6N0AgFzUOSAaNWpUrfvr1q2LF154IR566KG46KKL8lUXAAB5oHcDAHJR54Do/PPP3+T4TTfdFPPmzdvmggAAyB+9GwCQi7xdg+jII4+Me+65J1+bAwCggPRuAMCn5S0g+q//+q/o0KFDvjYHAEAB6d0AgE+r8ylmffv2rXWhwyRJorKyMv7xj3/EzTffnNfiAADYNno3ACAXdQ6Ijj322Fr3mzVrFjvvvHMMHjw49txzz3zVBQBAHujdAIBc1DkgGjt2bCHqAACgAPRuAEAu8nYNIgAAAAAap5xXEDVr1qzW+eubkslk4qOPPtrmogAA2DZ6NwCgLnIOiO67777NPjZnzpy44YYbIkmSvBQFAMC20bsBAHWRc0B0zDHHbDT2yiuvxJgxY+K///u/4+STT46f/exneS0OAICto3cDAOpiq65B9M4778T3v//92GeffeKjjz6K+fPnx/Tp06NLly75rg8AgG2kdwMAtqROAVFVVVVccskl8YUvfCEWLFgQjzzySPz3f/939OnTp1D11TJhwoTIZDIxatSo7FiSJDFu3LioqKiI1q1bx+DBg2PBggX1Ug8AQENW7N4NAGg8cg6IJk2aFLvvvns88MAD8R//8R8xZ86c+MpXvlLI2mqZO3du3HbbbbHPPvtsVNfkyZPjxhtvjLlz50Z5eXkMGTIkVq1aVW+1AQA0NMXu3QCAxiWT5Hh1wmbNmkXr1q3jsMMOi+bNm2923r333pu34j6xevXq2G+//eLmm2+Oq666Kr70pS/FlClTIkmSqKioiFGjRsUll1wSERE1NTVRVlYW11xzTZx55pk5bb+6ujpKS0ujqqoq2rdvn/f6AYD88Jmdu0L3bo3lb9Ht0ge3OOeticPqoRIAKI5cP7Nzvkj1KaecssWfSi2Us88+O4YNGxaHHXZYXHXVVdnxxYsXR2VlZQwdOjQ7VlJSEoMGDYo5c+ZsNiCqqamJmpqa7P3q6urCFQ8AUAT57t30TwDQtOUcEE2bNq2AZWzeXXfdFc8//3zMnTt3o8cqKysjIqKsrKzWeFlZWSxZsmSz25wwYUJcccUV+S0UAKAByXfv1hD7p1xWBwEAudmqXzGrL8uWLYvzzz8/fve730WrVq02O++z344lSfK535iNGTMmqqqqsrdly5blrWYAgKZI/wQATVvOK4iK4bnnnosVK1ZEv379smPr16+Pv/zlL3HjjTfGokWLIuLjlUSdOnXKzlmxYsVGq4o+raSkJEpKSgpXOABAE6N/AoCmrUGvIPra174WL730UsyfPz9769+/f5x88skxf/782H333aO8vDxmzpyZfc7atWtj9uzZMXDgwCJWDgAAANB4NOgVRO3atYs+ffrUGmvbtm107NgxOz5q1KgYP3589OjRI3r06BHjx4+PNm3axEknnVSMkgEAAAAanQYdEOXi4osvjjVr1sTIkSNj5cqVccABB8TDDz8c7dq1K3ZpAAAAAI1CowuIHnvssVr3M5lMjBs3LsaNG1eUegAAAAAauwZ9DSIAAAAACk9ABAAAAJByje4UszTqdumDte6/NXFYkSoBAAAAmiIriAAAAABSTkAEAAAAkHICIgAAAICUExABAAAApJyACAAAACDlBEQAAAAAKScgAgAAAEg5AREAAABAygmIAAAAAFJOQAQAAACQcgIiAAAAgJQTEAEAAACknIAIAAAAIOUERAAAAAApJyACAAAASDkBEQAAAEDKCYgAAAAAUk5ABAAAAJByAiIAAACAlBMQAQAAAKScgAgAAAAg5QREAAAAACknIAIAAABIOQERAAAAQMoJiAAAAABSTkAEAAAAkHICIgAAAICUExABAAAApJyACAAAACDlBEQAAAAAKScgAgAAAEg5AREAAABAygmIAAAAAFJOQAQAAACQcgIiAAAAgJQTEAEAAACknIAIAAAAIOUERAAAAAApJyACAAAASDkBEQAAAEDKCYgAAAAAUk5ABAAAAJByAiIAAACAlNuu2AUAAMBndbv0wWKXAACpYgURAAAAQMoJiAAAAABSTkAEAAAAkHKuQdQAOeceAAAAqE9WEAEAAACknIAIAAAAIOUERAAAAAApJyACAAAASDkBEQAAAEDKCYgAAAAAUk5ABAAAAJByAiIAAACAlBMQAQAAAKScgAgAAAAg5QREAAAAACknIAIAAABIOQERAAAAQMoJiAAAAABSTkAEAAAAkHICIgAAAICUExABAAAApJyACAAAACDlBEQAAAAAKScgAgAAAEg5AREAAABAygmIAAAAAFJOQAQAAACQcgIiAAAAgJQTEAEAAACknIAIAAAAIOUadEA0YcKE2H///aNdu3axyy67xLHHHhuLFi2qNSdJkhg3blxUVFRE69atY/DgwbFgwYIiVQwAAADQ+DTogGj27Nlx9tlnx9NPPx0zZ86Mjz76KIYOHRoffPBBds6kSZNi8uTJceONN8bcuXOjvLw8hgwZEqtWrSpi5QAAAACNx3bFLuDzPPTQQ7XuT506NXbZZZd47rnn4pBDDokkSWLKlClx2WWXxfDhwyMiYvr06VFWVhZ33nlnnHnmmcUoGwAAAKBRadAriD6rqqoqIiI6dOgQERGLFy+OysrKGDp0aHZOSUlJDBo0KObMmbPZ7dTU1ER1dXWtGwAAm6d/AoCmrUGvIPq0JEli9OjRcfDBB0efPn0iIqKysjIiIsrKymrNLSsriyVLlmx2WxMmTIgrrriicMUCADQxTbl/6nbpg1uc89bEYfVQCQAUT6NZQXTOOefEiy++GP/xH/+x0WOZTKbW/SRJNhr7tDFjxkRVVVX2tmzZsrzXCwDQlOifAKBpaxQriM4999y4//774y9/+Uvstttu2fHy8vKI+HglUadOnbLjK1as2GhV0aeVlJRESUlJ4QoGAGhi9E8A0LQ16BVESZLEOeecE/fee288+uij0b1791qPd+/ePcrLy2PmzJnZsbVr18bs2bNj4MCB9V0uAAAAQKPUoFcQnX322XHnnXfGn/70p2jXrl32mkOlpaXRunXryGQyMWrUqBg/fnz06NEjevToEePHj482bdrESSedVOTqC+ez58k7Jx4AAADYFg06ILrlllsiImLw4MG1xqdOnRqnnnpqRERcfPHFsWbNmhg5cmSsXLkyDjjggHj44YejXbt29VwtAAAAQOPUoAOiJEm2OCeTycS4ceNi3LhxhS8IAAAAoAlq0NcgAgAAAKDwBEQAAAAAKScgAgAAAEg5AREAAABAygmIAAAAAFJOQAQAAACQcgIiAAAAgJQTEAEAAACknIAIAAAAIOUERAAAAAApJyACAAAASDkBEQAAAEDKCYgAAAAAUk5ABAAAAJByAiIAAACAlNuu2AUAAEBT0O3SB7c4562Jw+qhEgCoOyuIAAAAAFJOQAQAAACQcgIiAAAAgJQTEAEAAACknIAIAAAAIOUERAAAAAApJyACAAAASDkBEQAAAEDKCYgAAAAAUk5ABAAAAJByAiIAAACAlBMQAQAAAKTcdsUugG3X7dIHa91/a+KwIlUCANA0fbbfAoCmxgoiAAAAgJQTEAEAAACknIAIAAAAIOUERAAAAAApJyACAAAASDkBEQAAAEDKCYgAAAAAUk5ABAAAAJBy2xW7APKv26UP1rr/1sRhRaoEAAAAaAysIAIAAABIOQERAAAAQMoJiAAAAABSzjWICsz1gAAAAICGzgoiAAAAgJQTEAEAAACknIAIAAAAIOUERAAAAAApJyACAAAASDkBEQAAAEDKCYgAAAAAUk5ABAAAAJBy2xW7AIqj26UP1rr/1sRhRaoEAAAAKDYriAAAAABSTkAEAAAAkHICIgAAAICUcw2iBuCz1wMCAAAAqE9WEAEAAACknIAIAAAAIOUERAAAAAApJyACAAAASDkBEQAAAEDKCYgAAAAAUk5ABAAAAJByAiIAAACAlNuu2AVQeN0ufbDeX+OticMK/poAAI3NlvoyPRQAxWIFEQAAAEDKCYgAAAAAUk5ABAAAAJByAiIAAACAlHORagAAaERy+QESF7sGoK6sIAIAAABIOQERAAAAQMoJiAAAAABSzjWI6lku54wXw2fr+ux56/moe0vb2NZz5Te1feffNx7+fgAAAMVjBREAAABAygmIAAAAAFJOQAQAAACQcq5BxCZt6zWHCnGtpS1dJylfz6mr+niNba2hEDU2hPcNAE1NQ7teZS716AFoKprq8d7Q3ldDq6c+Ffq6vNuqyawguvnmm6N79+7RqlWr6NevXzz++OPFLgkAAACgUWgSAdHdd98do0aNissuuyxeeOGF+MpXvhJHHnlkLF26tNilAQAAADR4TSIgmjx5cpx++ulxxhlnRK9evWLKlCnRuXPnuOWWW4pdGgAAAECD1+ivQbR27dp47rnn4tJLL601PnTo0JgzZ84mn1NTUxM1NTXZ+1VVVRERUV1dnff6NtR8mPdtNlVb2v+f3ZefnZ/Lvq6Pv3EhXmNbayhEjfne5qb+fsXYl0DD9sn/LyRJUuRK0qc++6cIPdS2ytffpVj9FRRDUz3eG9r7amj11KctvfdCve9c+6dM0sg7rHfeeSd23XXXePLJJ2PgwIHZ8fHjx8f06dNj0aJFGz1n3LhxccUVV9RnmQBAHi1btix22223YpeRKvonAGjcttQ/NZmAaM6cOTFgwIDs+NVXXx133HFHvPLKKxs957PfgG3YsCHef//96NixY2Qyma2upbq6Ojp37hzLli2L9u3bb/V22Dz7uPDs48KzjwvPPi68Yu3jJEli1apVUVFREc2aNYkz5RsN/VPjZR8Xnn1cePZx4dnHhdfQ+6dGf4rZTjvtFM2bN4/Kyspa4ytWrIiysrJNPqekpCRKSkpqje2www55q6l9+/b+gyow+7jw7OPCs48Lzz4uvGLs49LS0np9PT6mf2r87OPCs48Lzz4uPPu48Bpq/9Tov3pr2bJl9OvXL2bOnFlrfObMmbVOOQMAAABg0xr9CqKIiNGjR8d3v/vd6N+/fwwYMCBuu+22WLp0aZx11lnFLg0AAACgwWsSAdEJJ5wQ7733Xlx55ZWxfPny6NOnT/zP//xPdO3atV7rKCkpibFjx260/Jr8sY8Lzz4uPPu48OzjwrOPyRfHUuHZx4VnHxeefVx49nHhNfR93OgvUg0AAADAtmn01yACAAAAYNsIiAAAAABSTkAEAAAAkHICIgAAAICUExDl0c033xzdu3ePVq1aRb9+/eLxxx8vdklNxrhx4yKTydS6lZeXF7usRu0vf/lLHHXUUVFRURGZTCb++Mc/1no8SZIYN25cVFRUROvWrWPw4MGxYMGC4hTbSG1pH5966qkbHdcHHnhgcYpthCZMmBD7779/tGvXLnbZZZc49thjY9GiRbXmOI63TS772HHMttA7FZb+Kf/0T4Wnfyos/VPhNeb+SUCUJ3fffXeMGjUqLrvssnjhhRfiK1/5Shx55JGxdOnSYpfWZPTu3TuWL1+evb300kvFLqlR++CDD2LfffeNG2+8cZOPT5o0KSZPnhw33nhjzJ07N8rLy2PIkCGxatWqeq608drSPo6IOOKII2od1//zP/9TjxU2brNnz46zzz47nn766Zg5c2Z89NFHMXTo0Pjggw+ycxzH2yaXfRzhOGbr6J3qh/4pv/RPhad/Kiz9U+E16v4pIS++/OUvJ2eddVatsT333DO59NJLi1RR0zJ27Nhk3333LXYZTVZEJPfdd1/2/oYNG5Ly8vJk4sSJ2bF//etfSWlpaXLrrbcWocLG77P7OEmSZMSIEckxxxxTlHqaohUrViQRkcyePTtJEsdxIXx2HyeJ45itp3cqPP1TYemfCk//VHj6p8JrTP2TFUR5sHbt2njuuedi6NChtcaHDh0ac+bMKVJVTc9rr70WFRUV0b179zjxxBPjzTffLHZJTdbixYujsrKy1jFdUlISgwYNckzn2WOPPRa77LJL9OzZM77//e/HihUril1So1VVVRURER06dIgIx3EhfHYff8JxTF3pneqP/qn++NypPz538kf/VHiNqX8SEOXBu+++G+vXr4+ysrJa42VlZVFZWVmkqpqWAw44IG6//faYMWNG/PrXv47KysoYOHBgvPfee8UurUn65Lh1TBfWkUceGb///e/j0Ucfjeuuuy7mzp0bX/3qV6OmpqbYpTU6SZLE6NGj4+CDD44+ffpEhOM43za1jyMcx2wdvVP90D/VL5879cPnTv7onwqvsfVP2xX11ZuYTCZT636SJBuNsXWOPPLI7L/33nvvGDBgQOyxxx4xffr0GD16dBEra9oc04V1wgknZP/dp0+f6N+/f3Tt2jUefPDBGD58eBEra3zOOeecePHFF+OJJ57Y6DHHcX5sbh87jtkW/vssLP1TcTiuC8vnTv7onwqvsfVPVhDlwU477RTNmzffKFFdsWLFRskr+dG2bdvYe++947XXXit2KU3SJ79w4piuX506dYquXbs6ruvo3HPPjfvvvz9mzZoVu+22W3bccZw/m9vHm+I4Jhd6p+LQPxWWz53i8LmzdfRPhdcY+ycBUR60bNky+vXrFzNnzqw1PnPmzBg4cGCRqmraampqYuHChdGpU6dil9Ikde/ePcrLy2sd02vXro3Zs2c7pgvovffei2XLljmuc5QkSZxzzjlx7733xqOPPhrdu3ev9bjjeNttaR9viuOYXOidikP/VFg+d4rD507d6J8KrzH3T04xy5PRo0fHd7/73ejfv38MGDAgbrvttli6dGmcddZZxS6tSfjRj34URx11VHTp0iVWrFgRV111VVRXV8eIESOKXVqjtXr16nj99dez9xcvXhzz58+PDh06RJcuXWLUqFExfvz46NGjR/To0SPGjx8fbdq0iZNOOqmIVTcun7ePO3ToEOPGjYt/+7d/i06dOsVbb70VP/7xj2OnnXaKb37zm0WsuvE4++yz484774w//elP0a5du+w3XaWlpdG6devIZDKO4220pX28evVqxzFbTe9UePqn/NM/FZ7+qbD0T4XXqPunYvx0WlN10003JV27dk1atmyZ7LfffrV+xo5tc8IJJySdOnVKWrRokVRUVCTDhw9PFixYUOyyGrVZs2YlEbHRbcSIEUmSfPwTl2PHjk3Ky8uTkpKS5JBDDkleeuml4hbdyHzePv7www+ToUOHJjvvvHPSokWLpEuXLsmIESOSpUuXFrvsRmNT+zYikqlTp2bnOI63zZb2seOYbaV3Kiz9U/7pnwpP/1RY+qfCa8z9UyZJkqQw0RMAAAAAjYFrEAEAAACknIAIAAAAIOUERAAAAAApJyACAAAASDkBEQAAAEDKCYgAAAAAUk5ABAAAAJByAiIAAACAlBMQAalQWVkZQ4YMibZt28YOO+ywzdubNm1aXrYDANBQ6Z8gXQREwFarrKyMc889N3bfffcoKSmJzp07x1FHHRWPPPJIXrafzybi+uuvj+XLl8f8+fPj1Vdf3eScU089NY499tictnfCCSdsdjsAAJujf9I/QUO1XbELABqnt956Kw466KDYYYcdYtKkSbHPPvvEunXrYsaMGXH22WfHK6+8UuwSa3njjTeiX79+0aNHj23e1rp166J169bRunXrPFQGAKSF/kn/BA1aArAVjjzyyGTXXXdNVq9evdFjK1euzP57yZIlydFHH520bds2adeuXXLccccllZWV2cfnz5+fDB48ONl+++2Tdu3aJfvtt18yd+7cZNasWUlE1LqNHTt2s/XcfPPNye677560aNEi6dmzZ3L77bdnH+vatWut7YwYMWKj548dO3aj15s1a1ayePHiJCKSu+++Oxk0aFBSUlKS/Pa3v02mTp2alJaW1nr+vvvum9x6663JbrvtlrRu3Tr51re+VWtfzJo1K9l///2TNm3aJKWlpcnAgQOTt956K6f9DQA0fvon/RM0ZAIioM7ee++9JJPJJOPHj//ceRs2bEj69u2bHHzwwcm8efOSp59+Otlvv/2SQYMGZef07t07+c53vpMsXLgwefXVV5P//M//TObPn5/U1NQkU6ZMSdq3b58sX748Wb58ebJq1apNvs69996btGjRIrnpppuSRYsWJdddd13SvHnz5NFHH02SJElWrFiRHHHEEcnxxx+fLF++PPnnP/+50TZWrVqVHH/88ckRRxyRfb2amppsg9OtW7fknnvuSd58883k73//+yYbnLZt2yZf/epXkxdeeCGZPXt28oUvfCE56aSTkiRJknXr1iWlpaXJj370o+T1119P/va3vyXTpk1LlixZUse9DwA0Rvon/RM0dE4xA+rs9ddfjyRJYs899/zceX/+85/jxRdfjMWLF0fnzp0jIuKOO+6I3r17x9y5c2P//fePpUuXxkUXXZTd1qeXMJeWlkYmk4ny8vLPfZ2f//znceqpp8bIkSMjImL06NHx9NNPx89//vM49NBDY+edd46SkpJo3br1Zre1/fbbR+vWraOmpmaTc0aNGhXDhw//3Dr+9a9/xfTp02O33XaLiIgbbrghhg0bFtddd120bNkyqqqq4hvf+EbsscceERHRq1evz90eANB06J82Tf8EDYeLVAN1liRJRERkMpnPnbdw4cLo3LlztrmJiNhrr71ihx12iIULF0bEx83IGWecEYcddlhMnDgx3njjjTrXs3DhwjjooINqjR100EHZ18iH/v37b3FOly5dss1NRMSAAQNiw4YNsWjRoujQoUOceuqpcfjhh8dRRx0Vv/jFL2L58uV5qw8AaNj0T5umf4KGQ0AE1FmPHj0ik8lssYFIkmSTTdCnx8eNGxcLFiyIYcOGxaOPPhp77bVX3HfffXWu6bOvs7nX3lpt27at83M+ef1P/nfq1Knx1FNPxcCBA+Puu++Onj17xtNPP523GgGAhkv/lBv9ExSPgAiosw4dOsThhx8eN910U3zwwQcbPf7Pf/4zIj7+tmvp0qWxbNmy7GN/+9vfoqqqqtby4J49e8YFF1wQDz/8cAwfPjymTp0aEREtW7aM9evXb7GeXr16xRNPPFFrbM6cOXVegpzr623O0qVL45133snef+qpp6JZs2bRs2fP7Fjfvn1jzJgxMWfOnOjTp0/ceeedW/16AEDjoX/aNP0TNBwCImCr3HzzzbF+/fr48pe/HPfcc0+89tprsXDhwvjlL38ZAwYMiIiIww47LPbZZ584+eST4/nnn49nn302TjnllBg0aFD0798/1qxZE+ecc0489thjsWTJknjyySdj7ty52cakW7dusXr16njkkUfi3XffjQ8//HCTtVx00UUxbdq0uPXWW+O1116LyZMnx7333hs/+tGP6vSeunXrFi+++GIsWrQo3n333Vi3bl2dnt+qVasYMWJE/PWvf43HH388zjvvvDj++OOjvLw8Fi9eHGPGjImnnnoqlixZEg8//HC8+uqrzqMHgBTRP21M/wQNSLGujg00fu+8805y9tlnJ127dk1atmyZ7LrrrsnRRx+dzJo1Kzvn836mtaamJjnxxBOTzp07Jy1btkwqKiqSc845J1mzZk32+WeddVbSsWPHbfqZ1iRJkmOOOWaTP8/6aStWrEiGDBmSbL/99hv9TOsLL7xQa+7mfqb15ptvTioqKpJWrVolw4cPT95///0kSZKksrIyOfbYY5NOnTolLVu2TLp27Zpcfvnlyfr16z+3JgCgadE/lWbv65+gYckkyf+7WhoAW23cuHHxxz/+MebPn1/sUgAAGgX9EzQsTjEDAAAASDkBEQAAAEDKOcUMAAAAIOWsIAIAAABIOQERAAAAQMoJiAAAAABSTkAEAAAAkHICIgAAAICUExABAAAApJyACAAAACDlBEQAAAAAKff/ASI9v+zjntLPAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(14, 6), sharex=True, sharey=True)\n", + "\n", + "ax1.hist(e10['cost_of_trip'], bins=50)\n", + "ax1.set_xlabel('Cost of trips')\n", + "ax1.set_ylabel('Number of Trips')\n", + "ax1.set_title('E10')\n", + "\n", + "ax2.hist(sp98['cost_of_trip'], bins=50)\n", + "ax2.set_xlabel('Cost of trips')\n", + "ax2.set_ylabel('Number of Trips')\n", + "ax2.set_title('SP98')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "a15ee6f5-8ad2-4b6b-a502-1c9cecffe157", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(20, 18))\n", + "\n", + "# Plot for E10\n", + "sns.lineplot(data=e10, x='speed', y='cost_of_trip', color='blue', label='E10')\n", + "\n", + "# Plot for SP98\n", + "sns.lineplot(data=sp98, x='speed', y='cost_of_trip', color='green', label='SP98')\n", + "\n", + "# Set labels and title\n", + "plt.xlabel('Average speed')\n", + "plt.ylabel('Cost of trip')\n", + "\n", + "# Display the plot\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "4a4ba746-a22d-4c3e-bcd5-b0d71f982364", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(20, 18))\n", + "\n", + "# Plot for E10\n", + "sns.lineplot(data=e10, x='distance', y='fuel_consumed', color='blue', label='E10')\n", + "\n", + "# Plot for SP98\n", + "sns.lineplot(data=sp98, x='distance', y='fuel_consumed', color='green', label='SP98')\n", + "\n", + "# Set labels and title\n", + "plt.xlabel('Distance Travelled')\n", + "plt.ylabel('Fuel Consumed')\n", + "\n", + "# Display the plot\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "4e4422b9-55cb-4893-b18f-1765397364a7", + "metadata": {}, + "source": [ + "### Insights" + ] + }, + { + "cell_type": "markdown", + "id": "607fbd05-a5e8-412b-814c-eac70ff81193", + "metadata": {}, + "source": [ + "- We see that when travelling at a higher average speed, then the E10 fuel type is more efficient and in its fuel consumption and reduces the cost of the trip. Higher average speeds can indicate longer trips.\n", + "- There does not seem to be a significant difference in cost of trips or fuel consumption for shorter distance trips\n", + "- I would recommend using E10 fuel type due to its cheaper price and higher efficiency in its consumption. This particularly holds true for longer distances or trips with a higher average speed." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "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": "3.11.7" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}