diff --git a/EDA+HypoTesting.ipynb b/EDA+HypoTesting.ipynb new file mode 100644 index 0000000..63f7876 --- /dev/null +++ b/EDA+HypoTesting.ipynb @@ -0,0 +1,1744 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "What to do?\n", + "You should aim for:\n", + "Exploratory data analysis\n", + "Get to know the domain\n", + "Explore your data\n", + "Clean your data\n", + "Take a look and find connections between data\n", + "Note: Above you have your data set in a folder but for further reference here is the data set source: https://www.kaggle.com/datasets/anderas/car-consume\n", + "\n", + "Visualization\n", + "Plot your data in a meaningful way\n", + "Predictions\n", + "Do you have any hypothesis?\n", + "Can you make any kind of prediction: regression and/or classification?\n", + "Storytelling\n", + "What metrics are you obtaining?\n", + "Explain your conclusions\n", + "Shape your new data and conclusions in such a way that is appealing to the listener and tells a story\n", + "Extra:\n", + "Enrich your dataset\n", + "Add value: obtain related data by web scraping or with APIs.\n", + "Database\n", + "Load the processed information into a database\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Ironhack Final Tech Challenge for DA\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: openpyxl in /Users/hoangleduc/ironhack/ih-labs/env/lib/python3.12/site-packages (3.1.5)\n", + "Requirement already satisfied: et-xmlfile in /Users/hoangleduc/ironhack/ih-labs/env/lib/python3.12/site-packages (from openpyxl) (1.1.0)\n", + "\n", + "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m24.0\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.1.1\u001b[0m\n", + "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip3 install --upgrade pip\u001b[0m\n", + "Note: you may need to restart the kernel to use updated packages.\n" + ] + } + ], + "source": [ + "%pip install openpyxl" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "# Ignore error\n", + "import warnings\n", + "warnings.filterwarnings('ignore')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "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 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": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Import the data from data file in repo \n", + "dataset_1 = pd.read_csv('data/measurements.csv', sep = ',',header=0)\n", + "dataset_1.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "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": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Import measurements2.xlsx\n", + "\n", + "dataset_2 = pd.read_excel('data/measurements2.xlsx',header=0)\n", + "dataset_2.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 388 entries, 0 to 387\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 distance 388 non-null float64\n", + " 1 consume 388 non-null float64\n", + " 2 speed 388 non-null int64 \n", + " 3 temp_inside 376 non-null float64\n", + " 4 temp_outside 388 non-null int64 \n", + " 5 specials 93 non-null object \n", + " 6 gas_type 388 non-null object \n", + " 7 AC 388 non-null int64 \n", + " 8 rain 388 non-null int64 \n", + " 9 sun 388 non-null int64 \n", + " 10 refill liters 13 non-null float64\n", + " 11 refill gas 13 non-null object \n", + "dtypes: float64(4), int64(5), object(3)\n", + "memory usage: 36.5+ KB\n" + ] + } + ], + "source": [ + "# Distance convert string , to float (exp: 11,5 -> 11.5 )\n", + "# Dtype between two dataset are differnt for some columns: \n", + "# Convert columns to float: distance, consume, temp_inside, refill liters\n", + "# Convert to then compare between two dataset\n", + "dataset_1['distance'] = dataset_1['distance'].str.replace(',','.').astype(float)\n", + "dataset_1['consume'] = dataset_1['consume'].str.replace(',','.').astype(float)\n", + "dataset_1['temp_inside'] = dataset_1['temp_inside'].str.replace(',','.').astype(float)\n", + "dataset_1['refill liters'] = dataset_1['refill liters'].str.replace(',','.').astype(float)\n", + "dataset_1.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Check if dataset_1 and dataset_2 are the same dataset or not \n", + "dataset_1.equals(dataset_2)\n", + "# Dataset_1 and dataset_2 are the same dataset, we will work with Dataset_2 since its easier\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## EDA" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Columns explaining\n", + "- Distance: Distance Travelled in Km\n", + "- Consume: Gas consumed in L\n", + "- Speed: Velocity in KM/Hr\n", + "- Temp_inside/Temp_outside: Temp in/out of vehicle respectively in Celcious\n", + "- Specials: Main description of weather condition of trip\n", + "- AC,rain,sun: Specific description of weather condition of trip\n", + "- refill liters: Gas refuled in L \n", + "- refill gas,gas_type: What type of gas is used" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 388 entries, 0 to 387\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 distance 388 non-null float64\n", + " 1 consume 388 non-null float64\n", + " 2 speed 388 non-null int64 \n", + " 3 temp_inside 376 non-null float64\n", + " 4 temp_outside 388 non-null int64 \n", + " 5 specials 93 non-null object \n", + " 6 gas_type 388 non-null object \n", + " 7 AC 388 non-null int64 \n", + " 8 rain 388 non-null int64 \n", + " 9 sun 388 non-null int64 \n", + " 10 refill liters 13 non-null float64\n", + " 11 refill gas 13 non-null object \n", + "dtypes: float64(4), int64(5), object(3)\n", + "memory usage: 36.5+ KB\n" + ] + } + ], + "source": [ + "dataset_2.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "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": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dataset_2.head(5)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Looking at specials, we see this is main descriptors of the weather conidtions -> We can clean this into standarized conditions in order to use it into AC, rain, sun later\n", + "- High number of NaNs -> We can assume this as the condition of weather is Normal" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "specials\n", + "None 295\n", + "rain 32\n", + "sun 27\n", + "AC 14\n", + "AC rain 10\n", + "AC sun 5\n", + "snow 3\n", + "AC snow 1\n", + "rain-sun 1\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# merged_data['specials'].value_counts() # Clean the value of specials column\n", + "dict = {'ac': 'AC', 'sun ac': 'AC sun', 'AC Sun': 'AC sun','ac rain': 'AC rain', 'half rain half sun':'rain-sun'}\n", + "dataset_2['specials'] = dataset_2['specials'].replace(dict)\n", + "dataset_2['specials'] = dataset_2['specials'].fillna('None')\n", + "dataset_2['specials'].value_counts()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Converting special weather condition of rain-sun (rain = 1 + sun = 1) and snow as a new column " + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " distance consume speed temp_inside temp_outside specials gas_type \\\n", + "191 43.7 4.7 44 22.0 9 rain-sun SP98 \n", + "\n", + " AC rain sun refill liters refill gas \n", + "191 0 1 1 10.0 SP98 " + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dataset_2.loc[dataset_2['specials'] == 'rain-sun', 'sun'] = 1\n", + "dataset_2[dataset_2['specials'] == 'rain-sun'].head()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "# Add snow as a column -> where special == AC snow -> AC =1 and snow =1 \n", + "dataset_2['snow'] = 0\n", + "dataset_2.loc[dataset_2['specials'] == 'AC snow', 'snow'] = 1\n", + "dataset_2.loc[dataset_2['specials'] == 'snow', 'snow'] = 1\n", + "dataset_2[dataset_2['specials'] == 'snow'].head()\n", + "# After adding snow column, we can drop specials column\n", + "dataset_2 = dataset_2.drop(columns=['specials'])\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### refill liters\trefill gas has a lot of Nan and refill gas provide the same information as gas_type so we can remove these two columns" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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distanceconsumespeedtemp_insidetemp_outsidegas_typeACrainsunrefill litersrefill gassnow
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" + ], + "text/plain": [ + "Empty DataFrame\n", + "Columns: [distance, consume, speed, temp_inside, temp_outside, gas_type, AC, rain, sun, refill liters, refill gas, snow]\n", + "Index: []" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Check to make sure that gas_type and refill gas are the same\n", + "dataset_2[(dataset_2['gas_type'] != dataset_2['refill gas']) & (~pd.isna(dataset_2['refill gas']))].head()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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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 snow \n", + "0 0 0 \n", + "1 0 0 \n", + "2 0 0 \n", + "3 0 0 \n", + "4 0 0 " + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Drop columns refill gas\n", + "dataset_2.drop(columns=['refill liters','refill gas'], inplace=True)\n", + "dataset_2.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "distance 0.000000\n", + "consume 0.000000\n", + "speed 0.000000\n", + "temp_inside 3.092784\n", + "temp_outside 0.000000\n", + "gas_type 0.000000\n", + "AC 0.000000\n", + "rain 0.000000\n", + "sun 0.000000\n", + "snow 0.000000\n", + "dtype: float64" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Percentage of missing value in each column\n", + "missing_data = dataset_2.isnull().mean()*100\n", + "missing_data" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "distance 0.0\n", + "consume 0.0\n", + "speed 0.0\n", + "temp_inside 0.0\n", + "temp_outside 0.0\n", + "gas_type 0.0\n", + "AC 0.0\n", + "rain 0.0\n", + "sun 0.0\n", + "snow 0.0\n", + "dtype: float64" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Temp_inside still has missing value, we will fill missing value with mode value of temp_inside\n", + "dataset_2['temp_inside'].fillna(dataset_2['temp_inside'].mode()[0], inplace=True)\n", + "dataset_2.isnull().mean()*100" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Create new Features" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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distanceconsumespeedtemp_insidetemp_outsidetemp_diffACrainsunsnowgas_typelitter_per_kmtime_spent
028.05.02621.512-9.50000E100.1785711.076923
112.04.23021.513-8.50000E100.3500000.400000
211.25.53821.515-6.50000E100.4910710.294737
312.93.93621.514-7.50000E100.3023260.358333
418.54.54621.515-6.50000E100.2432430.402174
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" + ], + "text/plain": [ + " distance consume speed temp_inside temp_outside temp_diff AC rain \\\n", + "0 28.0 5.0 26 21.5 12 -9.5 0 0 \n", + "1 12.0 4.2 30 21.5 13 -8.5 0 0 \n", + "2 11.2 5.5 38 21.5 15 -6.5 0 0 \n", + "3 12.9 3.9 36 21.5 14 -7.5 0 0 \n", + "4 18.5 4.5 46 21.5 15 -6.5 0 0 \n", + "\n", + " sun snow gas_type litter_per_km time_spent \n", + "0 0 0 E10 0.178571 1.076923 \n", + "1 0 0 E10 0.350000 0.400000 \n", + "2 0 0 E10 0.491071 0.294737 \n", + "3 0 0 E10 0.302326 0.358333 \n", + "4 0 0 E10 0.243243 0.402174 " + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Create new columns as temp difference between inside and outside called temp_diff\n", + "dataset_2['temp_diff'] = dataset_2['temp_outside'] - dataset_2['temp_inside']\n", + "# Create new columns as consume per distance called litter_per_km\n", + "dataset_2['litter_per_km'] = dataset_2['consume'] / dataset_2['distance']\n", + "# Create new columns as time spent on driving called time_spent in hours\n", + "dataset_2['time_spent'] = dataset_2['distance'] / dataset_2['speed']\n", + "# Reorder columns\n", + "dataset_2 = dataset_2[['distance', 'consume', 'speed', 'temp_inside', 'temp_outside', 'temp_diff', 'AC', 'rain', 'sun', 'snow','gas_type','litter_per_km', 'time_spent']]\n", + "dataset_2.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "dataset_2.dtypes\n", + "# Seperate into numerical and categorical columns\n", + "numerical_cols = dataset_2.select_dtypes(np.number)\n", + "categorical_cols = dataset_2.select_dtypes(object)\n", + "numerical_cols.describe().T\n", + "# save the cleaned data to a new file\n", + "dataset_2.to_csv('data/cleaned_data.csv', index=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 388 entries, 0 to 387\n", + "Data columns (total 13 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 distance 388 non-null float64\n", + " 1 consume 388 non-null float64\n", + " 2 speed 388 non-null int64 \n", + " 3 temp_inside 388 non-null float64\n", + " 4 temp_outside 388 non-null int64 \n", + " 5 temp_diff 388 non-null float64\n", + " 6 AC 388 non-null int64 \n", + " 7 rain 388 non-null int64 \n", + " 8 sun 388 non-null int64 \n", + " 9 snow 388 non-null int64 \n", + " 10 gas_type 388 non-null object \n", + " 11 litter_per_km 388 non-null float64\n", + " 12 time_spent 388 non-null float64\n", + "dtypes: float64(6), int64(6), object(1)\n", + "memory usage: 39.5+ KB\n" + ] + } + ], + "source": [ + "dataset_2.info()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Visualization\n", + "Plot your data in a meaningful way" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Displaying distribution of gas type\n", + "plt.figure(figsize=(8, 6))\n", + "sns.countplot(data=dataset_2, x='gas_type',hue='gas_type', palette='hls')\n", + "plt.title('Distribution of Gas Type')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### More trips use SP98, however, the difference between the counts is not too much" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plotting distribution of different columns\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "plt.figure(figsize=(20,20))\n", + "for i, col in enumerate(numerical_cols.columns):\n", + " plt.subplot(4, 4, i+1)\n", + " sns.histplot(numerical_cols[col], kde=True)\n", + " plt.title(col)" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'temp_outside & consume')" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Line Graph of consume and temp_diff based on gas_type\n", + "plt.figure(figsize=(15,10))\n", + "\n", + "ax1=plt.subplot(2,2,1)\n", + "sns.lineplot(data=dataset_2, x='temp_diff', y='consume',hue='gas_type', palette='hls', ax=ax1)\n", + "plt.title('Consume and Temp_diff based on Gas Type')\n", + "\n", + "ax2=plt.subplot(2,2,2)\n", + "sns.regplot(x=dataset_2['temp_outside'], y=dataset_2['consume'],ax=ax2)\n", + "plt.xlabel(\"temp_outside\")\n", + "plt.ylabel(\"consume\")\n", + "plt.title(\"temp_outside & consume\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### We see that, when theres a lot of temp_diff (its a lot colder outside compare to inside the vehicle), the consume of fuel is a lot higher. This is especially more noticeable when the temp_outside is colder" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Distance and Litter_per_km based on Gas Type')" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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cNWoVWe9Xt74sdhYwAADgQkBiDQAAADgLtoAAhd94i2SxFKiz+Pkr+IqrZCmkDgAAVD4k1gAAAICz5Bsbr7hHHpdPeMT/yhKqq9qIkfKJjPJiZAAAoDz5eDsAAAAA4Hxj9fNTYONL5XjmebnS02Sx2mQNCpJPSKi3QwMAAOWIxBoAAABQQj5VwuVTJdzbYQAAAC9hKigAAAAAAABQAiTWAAAAAAAAgBIgsQYAAAAAAACUAIk1AAAAVFj79u3TXXfdpYiICAUEBOjSSy/V+vXrvR0WAACAJBYvAAAAQAV17NgxtWrVSm3bttWXX36p6Ohobd++XWFhYd4ODQAAQBKJNQAAAFRQL730khISEjR9+nR3WY0aNbwXEAAAwCmYCgoAAIAKaeHChWrevLluueUWRUdHq2nTpnr33XdP+5js7GylpqZ63AAAAMoKiTUAAABUSH/99ZcmT56sOnXq6KuvvtIDDzygwYMHa9asWUU+Zty4cQoNDXXfEhISyjFiAABwoSGxBgAAgAopLy9PzZo109ixY9W0aVMNGDBA/fr10+TJk4t8zIgRI5SSkuK+7dmzpxwjBgAAFxoSawAAAKiQ4uLidMkll3iU1a9fX7t37y7yMQ6HQyEhIR63suYyRqm5TqU7XWW+LwAAULGweAEAAAAqpFatWmnLli0eZX/++acSExO9FJEnY4wO5Tq1/Fiq1qemK8BmVffIMF3s76dQO91sAAAuBHzjAwAAoEJ65JFH1LJlS40dO1a9evXSmjVrNHXqVE2dOtXboUmSknJy9cxfe5XmynOXbdmdpKtCA3VvXJRCfOhqAwBQ2TEVFAAAABXS5Zdfrvnz5+vDDz9Uw4YN9fzzz2vixIm68847vR2aslx5+vjAUY+kWr7VKek6mOP0QlQAAKC88W80AAAAVFjdu3dX9+7dvR1GAekul9akphVZvzrluC4K8CvHiAAAgDcwYg0AAAAoCctpqiynqQQAAJUGiTUAAADgLAX52NQyJKjI+pahRdcBAIDKg8QaAAAAcJYcVqtujolQqM1WoK51WLCi7HYvRAUAAMob11gDAAAASiDG164xtavph5TjWpuarkCrVf+IDFNNf4eCfQom3AAAQOVDYg0AAAAooShfu66LrKIOVUJls1jkb2NCCAAAFxISawAAAMA5sFosCmKEGgAAFyT+pQYAAAAAAACUACPWztK6wQ94O4Tiu62vtyMAAAAAAACotLyaWPv222/18ssva/369dq/f7/mz5+vG264QZKUm5urp59+Wl988YX++usvhYaGqkOHDnrxxRcVHx/v3kabNm20cuVKj+3eeuut+uijj8rzUAAAAHCKNWvWaMWKFTp48KDy8vI86iZMmOClqAAAAEqPVxNr6enpatKkie69917ddNNNHnUZGRnasGGDnnnmGTVp0kTHjh3TkCFDdN1112ndunUebfv166fRo0e77/v7+5dL/AAAACjc2LFj9fTTT6tu3bqKiYmRxWJx1538NwAAwPnMq4m1rl27qmvXroXWhYaGaunSpR5lkyZN0hVXXKHdu3erevXq7vKAgADFxsaWaawAAAAovtdff13Tpk1Tnz59vB0KAABAmTmvFi9ISUmRxWJRWFiYR/kHH3ygyMhINWjQQMOHD9fx48dPu53s7GylpqZ63AAAAFB6rFarWrVq5e0wAAAAytR5k1jLysrSE088oTvuuEMhISHu8jvvvFMffvihVqxYoWeeeUb/+c9/1LNnz9Nua9y4cQoNDXXfEhISyjp8AACAC8ojjzyit956y9thAAAAlKnzYlXQ3Nxc3XbbbcrLy9Pbb7/tUdevXz/33w0bNlSdOnXUvHlzbdiwQc2aNSt0eyNGjNDQoUPd91NTU0muAQAAlKLhw4erW7duql27ti655BLZ7XaP+nnz5nkpMgAAgNJT4RNrubm56tWrl3bs2KHly5d7jFYrTLNmzWS327V169YiE2sOh0MOh6MswgUAAICkhx9+WN98843atm2riIgIFiwAAACVUoVOrOUn1bZu3apvvvlGERERZ3zMr7/+qtzcXMXFxZVDhAAAACjMrFmz9J///EfdunXzdigAAABlxquJtbS0NG3bts19f8eOHdq4caPCw8MVHx+vm2++WRs2bNBnn30ml8ulpKQkSVJ4eLh8fX21fft2ffDBB/rHP/6hyMhI/fbbbxo2bJiaNm3KxXIBAAC8KDw8XLVr1/Z2GAAAAGXKq4sXrFu3Tk2bNlXTpk0lSUOHDlXTpk317LPPau/evVq4cKH27t2rSy+9VHFxce7bqlWrJEm+vr76+uuv1blzZ9WtW1eDBw9Wp06dtGzZMtlsNm8eGgAAwAVt1KhRGjlypDIyMrwdCgAAQJnx6oi1Nm3ayBhTZP3p6iQpISFBK1euLO2wAAAAcI7eeOMNbd++XTExMapRo0aBxQs2bNjgpcgAAABKT4W+xhoAAADOTzfccIO3QwAAAChzJNYAAABQ6kaOHFlk3ZlmJQAAAJwvvHqNNQAAAFRO48aNK7Tc5XLpjjvuKOdoAAAAygaJNQAAAJS6iRMnaurUqR5lLpdLt912mzZu3OidoAAAAEoZU0EBAABQ6r744gt16NBBYWFh6tWrl3Jzc3Xrrbfqjz/+0DfffOPt8AAAAEoFiTUAAACUussuu0zz58/X9ddfL4fDoffee0/bt2/XN998o5iYGG+HBwAAUCqYCgoAAIAy0aZNG73//vu6+eabtXPnTq1cuZKkGgAAqFQYsQYAAIBS0bNnz0LLo6KiFBYWpv79+7vL5s2bV15hlbnsvDxl5eXJ12KVv43/WwMAcCEhsQYAAIBSERoaWmh5586dyzmS8pHjylNSbq4WHjqmv7KyFWO364aoKqrm56tAm83b4QEAgHJAYg0AAAClYvr06Wf9mB9++EHNmzeXw+Eog4jKjjFGf2Rm6cWdfyvv/8v+zs7VT2kZuj8uSteGBcvB6DUAACo9vu0BAADgNV27dtW+ffu8HcZZO+Z0acreA+6k2slmJh1SistV7jEBAIDyR2INAAAAXmOM8XYIJXLc6dJRZ+HJM6eRDubklnNEAADAG0isAQAAAGfJYjlDffmEAQAAvIzEGgAAAHCWgm02RdkLv1yxr8WiKF97OUcEAAC8oUSJtXbt2ik5OblAeWpqqtq1a3euMQEAAAAVWhW7jwZWi5GtkKFpfeOjVMWHVUEBALgQlGhV0BUrVignJ6dAeVZWlr777rtzDgoAAAAXBsuZ5lRWYBf5OzS+dnUtOZqibZlZivW1q3tkmGJ9fWW3MjEEAIALwVkl1jZt2uT++7ffflNSUpL7vsvl0uLFi1W1atXSiw4AAADnHWOMdu/erejoaPn7+5+x7fnKbrWqqp+v7oqNUHaeka/VIl8SagAAXFDOKrF26aWXymKxyGKxFDrl09/fX5MmTSq14AAAAHD+McaoTp06+vXXX1WnTp3Ttj1+/Hg5RVV27Far7OTTAAC4IJ1VYm3Hjh0yxqhWrVpas2aNoqKi3HW+vr6Kjo6Wzcb1JAAAAC5kVqtVderU0ZEjR86YWAMAADifnVViLTExUZKUl5dXJsEAAACgchg/frweffRRTZ48WQ0bNvR2OAAAAGWiRIsXSNKff/6pFStW6ODBgwUSbc8+++w5BwYAAIDz11133aWMjAw1adJEvr6+Ba61dvToUS9FBgAAUHpKlFh799139eCDDyoyMlKxsbEeqzlZLBYSawAAABe4iRMnejsEAACAMleixNqYMWP0wgsv6PHHHy/teAAAAFAJ9O7d29shAAAAlLkSrV907Ngx3XLLLaUdCwAAACqR7du36+mnn9btt9+ugwcPSpIWL16sX3/91cuRAQAAlI4SJdZuueUWLVmypLRjAQAAQCWxcuVKNWrUSP/97381b948paWlSZI2bdqkkSNHejk6AACA0lGiqaAXXXSRnnnmGf34449q1KiR7Ha7R/3gwYNLJTgAAACcn5544gmNGTNGQ4cOVXBwsLu8bdu2ev31170YGQAAQOkpUWJt6tSpCgoK0sqVK7Vy5UqPOovFQmINAADgAvfLL79ozpw5BcqjoqJ05MgRL0QEAABQ+kqUWNuxY0dpxwEAAIBKJCwsTPv371fNmjU9yn/66SdVrVrVS1EBAACUrhJdYw0AAAA4nTvuuEOPP/64kpKSZLFYlJeXpx9++EHDhw/XPffc4+3wAAAASkWJRqzdd999p62fNm1aiYIBAABA5fDCCy+oT58+qlq1qowxuuSSS+RyuXTHHXfo6aef9nZ4AAAApaJEibVjx4553M/NzdXmzZuVnJysdu3alUpgAAAAOH/Z7XZ98MEHGj16tH766Sfl5eWpadOmqlOnjrdDAwAAKDUlSqzNnz+/QFleXp4GDhyoWrVqnXNQAAAAqBxq167t7h9aLBYvRwMAAFC6Su0aa1arVY888ohee+21Yj/m22+/VY8ePRQfHy+LxaIFCxZ41BtjNGrUKMXHx8vf319t2rTRr7/+6tEmOztbDz/8sCIjIxUYGKjrrrtOe/fuLY1DAgAAwDl477331LBhQ/n5+cnPz08NGzbUv/71L2+HBQAAUGpKdfGC7du3y+l0Frt9enq6mjRpojfffLPQ+vHjx2vChAl68803tXbtWsXGxqpjx446fvy4u82QIUM0f/58ffTRR/r++++Vlpam7t27y+VynfPxAAAAoGSeeeYZ/fOf/1SPHj30ySef6JNPPlGPHj30yCOPcI01AABQaZRoKujQoUM97htjtH//fn3++efq3bt3sbfTtWtXde3atdA6Y4wmTpyop556Sj179pQkzZw5UzExMZozZ44GDBiglJQUvffee3r//ffVoUMHSdLs2bOVkJCgZcuWqXPnziU5PAAAAJyjyZMn691339Xtt9/uLrvuuuvUuHFjPfzwwxozZowXowMAACgdJUqs/fTTTx73rVaroqKi9Oqrr55xxdDi2rFjh5KSktSpUyd3mcPhUOvWrbVq1SoNGDBA69evV25urkeb+Ph4NWzYUKtWrSoysZadna3s7Gz3/dTU1FKJGQAAACe4XC41b968QPlll112VjMcAAAAKrISJda++eab0o6jgKSkJElSTEyMR3lMTIx27drlbuPr66sqVaoUaJP/+MKMGzdOzz33XClHDAAAgHx33XWXJk+erAkTJniUT506VXfeeaeXogIAAChdJUqs5Tt06JC2bNkii8Wiiy++WFFRUaUVl9upq0cZY864otSZ2owYMcJjOmtqaqoSEhLOLVAAAAB4eO+997RkyRJdeeWVkqQff/xRe/bs0T333OPRFzs1+QYAAHC+KFFiLT09XQ8//LBmzZqlvLw8SZLNZtM999yjSZMmKSAg4JwDi42NlXRiVFpcXJy7/ODBg+5RbLGxscrJydGxY8c8Rq0dPHhQLVu2LHLbDodDDofjnGMEAABA4TZv3qxmzZpJOrHAlSRFRUUpKipKmzdvdrc70z9MAQAAKrISL16wcuVKLVq0SK1atZIkff/99xo8eLCGDRumyZMnn3NgNWvWVGxsrJYuXaqmTZtKknJycrRy5Uq99NJLkk5co8Nut2vp0qXq1auXJGn//v3avHmzxo8ff84xAAAAoGSKe+mQvXv3Ki8vT1ZrqS5WDwAAUC5KlFj7z3/+o3//+99q06aNu+wf//iH/P391atXr2In1tLS0rRt2zb3/R07dmjjxo0KDw9X9erVNWTIEI0dO1Z16tRRnTp1NHbsWAUEBOiOO+6QJIWGhur+++/XsGHDFBERofDwcA0fPlyNGjVyrxIKAACAiuuSSy7Rxo0bVatWLW+HUiKu46lypqTIeeyobCEh8gmtIp+wMG+HBQAAykmJEmsZGRkFFhWQpOjoaGVkZBR7O+vWrVPbtm3d9/OvtdG7d2/NmDFDjz32mDIzMzVw4EAdO3ZMLVq00JIlSxQcHOx+zGuvvSYfHx/16tVLmZmZat++vWbMmCGbzVaSQwMAAEA5MsZ4O4QSyz16RAfeeVNZW353l9nj4hU35DH5xsR6MTIAAFBeSjTm/qqrrtLIkSOVlZXlLsvMzNRzzz2nq666qtjbadOmjYwxBW4zZsyQdOKaG6NGjdL+/fuVlZWllStXqmHDhh7b8PPz06RJk3TkyBFlZGRo0aJFLEQAAABQCY0bN04Wi0VDhgzxdihyZWbq0OwZHkk1Scrd/7f2TxwvZ/IxL0UGAADKU4lGrE2cOFFdu3ZVtWrV1KRJE1ksFm3cuFEOh0NLliwp7RgBAABwgVu7dq2mTp2qxo0bezsUSZIrNVkZP60rtC53/99ypiTLJ6xKofUAAKDyKNGItUaNGmnr1q0aN26cLr30UjVu3Fgvvviitm3bpgYNGpR2jAAAALiApaWl6c4779S7777rsRK8N5msbOk001hdKSnlGA0AAPCWEo1YGzdunGJiYtSvXz+P8mnTpunQoUN6/PHHSyU4AAAAVG4Wi+WMbR566CF169ZNHTp00JgxY07bNjs7W9nZ2e77qamp5xxjYaz+/pLNJrlchdb7hEeUyX4BAEDFUqIRa++8847q1atXoLxBgwaaMmXKOQcFAACAC8OZFi/46KOPtGHDBo0bN65Y2xs3bpxCQ0Pdt7K69q4tNEyhbdoXWudXt75soaFlsl8AAFCxlCixlpSUpLi4uALlUVFR2r9//zkHBQAAgPOX0+mUj4+PNm/efMa2v/32mxITEwut27Nnj/75z39q9uzZ8vPzK9a+R4wYoZSUFPdtz549ZxV7cVkdDlW5rqdC23c6MXJNkiwWBTRtrpgBg+QTHFIm+wUAABVLiaaCJiQk6IcfflDNmjU9yn/44QfFx8eXSmAAAAA4P/n4+CgxMVGuIqZJnux0I8rWr1+vgwcP6rLLLnOXuVwuffvtt3rzzTeVnZ0tW35S6/85HA45HI6SB38WfELDFNHrToV17qa8zExZHA7ZQkJkCwgsl/0DAADvK1FirW/fvhoyZIhyc3PVrl07SdLXX3+txx57TMOGDSvVAAEAAHD+efrppzVixAjNnj1b4eHhJdpG+/bt9csvv3iU3XvvvapXr54ef/zxAkk1b7A6HLJGx3g7DAAA4CUlSqw99thjOnr0qAYOHKicnBxJkp+fnx5//HGNGDGiVAMEAADA+eeNN97Qtm3bFB8fr8TERAUGeo7i2rBhwxm3ERwcrIYNG3qUBQYGKiIiokA5AACAN5QosWaxWPTSSy/pmWee0e+//y5/f3/VqVOn3IbdAwAAoGK74YYbvB1CucgzRkdyndqakaXd2Tmq5edQLX+HIn3t3g4NAACUgxIl1vIFBQXp8ssvL61YAAAAUEmMHDmyTLa7YsWKMtluSe3OytHoHfuUkZfnLgu2WTWyZjVV8/P1YmQAAKA8lGhVUAAAAOBMkpOT9a9//UsjRozQ0aNHJZ2YArpv3z4vR1Y6juY69fLu/R5JNUk67srTa3v2K8Xp9FJkAACgvJzTiDUAAACgMJs2bVKHDh0UGhqqnTt3ql+/fgoPD9f8+fO1a9cuzZo1y9shnrMUp1NHcgtPnu3LzlWq06VQH7rbAABUZoxYAwAAQKkbOnSo+vTpo61bt8rPz89d3rVrV3377bdejKz05OSZc6oHAADnPxJrAAAAKHVr167VgAEDCpRXrVpVSUlJXoio9IX5+BTZmbZbLAr2sZVrPAAAoPyRWAMAAECp8/PzU2pqaoHyLVu2KCoqygsRlb5QH5u6RoQWWndjVBWFkVgDAKDSI7EGAACAUnf99ddr9OjRys3NlSRZLBbt3r1bTzzxhG666SYvR1c6/GxWXRdVRX1iIxX6/0m0cB+bBlSNUofwEPla6WoDAFDZcTVVAAAAlLpXXnlF//jHPxQdHa3MzEy1bt1aSUlJuuqqq/TCCy94O7xSE+rjo04RoboiNEhOY+RjsaiKj00Wi8XboQEAgHJAYg0AAAClLiQkRN9//72WL1+uDRs2KC8vT82aNVOHDh28HVqps1osCrfTrQYA4EJEDwAAAAClbtasWbr11lvVrl07tWvXzl2ek5Ojjz76SPfcc48XowMAACgdXPgBAAAApe7ee+9VSkpKgfLjx4/r3nvv9UJEAAAApY/EGgAAAEqdMabQ64zt3btXoaGFr6QJAABwvmEqKAAAAEpN06ZNZbFYZLFY1L59e/n4/K+76XK5tGPHDnXp0sWLEQIAAJQeEmsAAAAoNTfccIMkaePGjercubOCgoLcdb6+vqpRo4ZuuukmL0UHAABQukisAQAAoNSMHDlSklSjRg3ddtttcjgcXo4IAACg7HCNNQAAAJS65557TmlpaQXKk5OTVatWLS9EBAAAUPpIrAEAAKDU7dy5Uy6Xq0B5dna29u3b54WIAAAASh9TQQEAAFBqFi5c6P77q6++8lgB1OVy6euvv1aNGjW8EBkAAEDpI7EGAACAUpO/eIHFYlHv3r096ux2u2rUqKFXX33VC5EBAACUPhJrAAAAKDV5eXmSpJo1a2rt2rWKjIz0ckQAAABlh8QaAAAASt2OHTu8HQIAAECZI7EGAACAUvHGG2+of//+8vPz0xtvvHHatoMHDy6nqAAAAMpOhU+s1ahRQ7t27SpQPnDgQL311lvq06ePZs6c6VHXokUL/fjjj+UVIgAAACS99tpruvPOO+Xn56fXXnutyHYWi6XSJNZcxig516ksY+RrsSjMxya71ertsAAAQDmp8Im1tWvXeizVvnnzZnXs2FG33HKLu6xLly6aPn26+76vr2+5xggAAADP6Z8XwlTQVKdT3yUf1/xDx5TmypOvxaIO4SHqEVlFVewVvpsNAABKQYX/xo+KivK4/+KLL6p27dpq3bq1u8zhcCg2Nra8QwMAAMBJhg4dWqx2FovlvF8ZNDcvT0uPpuqTg0fdZTnG6IsjKTqc41T/qtEK8rF5MUIAAFAeKnxi7WQ5OTmaPXu2hg4dKovF4i5fsWKFoqOjFRYWptatW+uFF15QdHR0kdvJzs5Wdna2+35qamqZxg0AAHAh+Omnn4rV7uR+3PnqmNOlTw8dkyQF26yKtNuV4nTqqNOlNcfTdavTRWINAIALwHmVWFuwYIGSk5PVp08fd1nXrl11yy23KDExUTt27NAzzzyjdu3aaf369XI4HIVuZ9y4cXruuefKKWoAAIALwzfffOPtEMpNhitPgTarhgX5KuLwQZntu2WJjlF6fDW9l+nSodxcVfXj8iQAAFR251Vi7b333lPXrl0VHx/vLrv11lvdfzds2FDNmzdXYmKiPv/8c/Xs2bPQ7YwYMcJjqkJqaqoSEhLKLnAAAABUKn5Wi54Msss18UVlHT7kLrcHBOqRoSOUY2O0GgAAF4LzZsmiXbt2admyZerbt+9p28XFxSkxMVFbt24tso3D4VBISIjHDQAAACiusOwsaca7cp6UVJOkvIx0ZU16RdGZaV6KDAAAlKfzJrE2ffp0RUdHq1u3bqdtd+TIEe3Zs0dxcXHlFBkAAAAuNNb048retqXQOldKsizJyeUbEAAA8IrzIrGWl5en6dOnq3fv3vLx+d/s1bS0NA0fPlyrV6/Wzp07tWLFCvXo0UORkZG68cYbvRgxAAAAKjOTk3vaelcGI9YAALgQnBfXWFu2bJl2796t++67z6PcZrPpl19+0axZs5ScnKy4uDi1bdtWc+fOVXBwsJeiBQAAQGVnDQyUxeGQOWml+ZPZI4teoR4AAFQe50VirVOnTjLGFCj39/fXV1995YWIAAAAcCGzhYapynU9dfSTDwvUBV3ZSraQUC9EBQAAytt5kVgDAAAAKhKr3a6Qa9vKFhCoows+kSslRRY/f4V16qrQdp1kCwz0dogAAKAckFgDAAAASsAnOEQhrdspoElTmZwcWex2+YRVkcVm83ZoAACgnJBYAwAAAErIYrXKHh7h7TAAAICXkFgDAAAAztGR3Fz9lZmtrRlZinf46pJAf0XYfWSzWLwdGgAAKEMk1gAAAIBzsD87R6N37NMxp8td5mux6OmaVXWRv0NWkmsAAFRaVm8HAAAAAJyvjjtdenvvAY+kmiTlGKPxu/7WsVynlyIDAADlgcQaAAAAUELHXS5tzcwutC7NladDJNYAAKjUSKwBAAAAJZSbZ05bn+HKK6dIAACAN5BYAwAAAEoo0GZVoPV/XWr7KddTi3PYyzskAABQjli8AAAAACihKnYf3REToWMul2r5O5TucsnfatOh3FwdzM5ViI/N2yECAIAyRGINAAAAKCGbxaLGwQF6d99B/fvgUXd5NYevhlaPVaCNxBoAAJUZU0EBAACAEsp05enDA0e0KT3To3xvdo5e2bWfVUEBAKjkSKwBAAAAJZTidGl1SlqhdX/n5OqYk8QaAACVGYk1AAAAoISy8vJ0unVBj+W6yi0WAABQ/kisAQAAACUUYLPKZim6PtLOJY0BAKjMSKwBAAAAJRTqY1P7KqGF1tX2dyjMzuIFAABUZvwLDQAAACghh9WqnlFVlGeMvjmWqvyJn40D/dW/arRCfehuAwBQmfFNDwAAAJyDMLuP7oqNVI/IKkrPc8nfalWwzaYgH0arAQBQ2ZFYAwAAAM6Rn80qP5tVkt3boQAAgHLENdYAAAAAAACAEiCxBgAAAAAAAJQAiTUAAAAAAACgBEisAQAAAAAAACVAYg0AAAAAAAAoARJrAAAAAAAAQAmQWAMAAAAAAABKgMQaAAAAAAAAUAIk1gAAAAAAAIASILEGAAAAAAAAlACJNQAAAAAAAKAESKwBAACgQho3bpwuv/xyBQcHKzo6WjfccIO2bNni7bAAAADcSKwBAACgQlq5cqUeeugh/fjjj1q6dKmcTqc6deqk9PR0b4cGAAAgqYIn1kaNGiWLxeJxi42NddcbYzRq1CjFx8fL399fbdq00a+//urFiAEAAFBaFi9erD59+qhBgwZq0qSJpk+frt27d2v9+vVFPiY7O1upqakeNwAAgLJSoRNrktSgQQPt37/fffvll1/cdePHj9eECRP05ptvau3atYqNjVXHjh11/PhxL0YMAACAspCSkiJJCg8PL7LNuHHjFBoa6r4lJCSUV3gAAOACVOETaz4+PoqNjXXfoqKiJJ0YrTZx4kQ99dRT6tmzpxo2bKiZM2cqIyNDc+bM8XLUAAAAKE3GGA0dOlRXX321GjZsWGS7ESNGKCUlxX3bs2dPOUYJAAAuNBU+sbZ161bFx8erZs2auu222/TXX39Jknbs2KGkpCR16tTJ3dbhcKh169ZatWrVabfJFAEAAIDzy6BBg7Rp0yZ9+OGHp23ncDgUEhLicQMAACgrFTqx1qJFC82aNUtfffWV3n33XSUlJally5Y6cuSIkpKSJEkxMTEej4mJiXHXFYUpAgAAAOePhx9+WAsXLtQ333yjatWqeTscAAAAtwqdWOvatatuuukmNWrUSB06dNDnn38uSZo5c6a7jcVi8XiMMaZA2amYIgAAAFDxGWM0aNAgzZs3T8uXL1fNmjW9HRIAAICHCp1YO1VgYKAaNWqkrVu3ulcHPXV02sGDBwuMYjsVUwQAAAAqvoceekizZ8/WnDlzFBwcrKSkJCUlJSkzM9PboQEAAEg6zxJr2dnZ+v333xUXF6eaNWsqNjZWS5cuddfn5ORo5cqVatmypRejBAAAQGmYPHmyUlJS1KZNG8XFxblvc+fO9XZoxZbpculYrlMZLpe3QwEAAGXAx9sBnM7w4cPVo0cPVa9eXQcPHtSYMWOUmpqq3r17y2KxaMiQIRo7dqzq1KmjOnXqaOzYsQoICNAdd9zh7dABAABwjowx3g6hxDJdedqXnaN5B49qb3aO4h2+uim6iqo6fBVgs3k7PAAAUEoqdGJt7969uv3223X48GFFRUXpyiuv1I8//qjExERJ0mOPPabMzEwNHDhQx44dU4sWLbRkyRIFBwd7OXIAAABcqFzGaMPxdE3ae8BddjDXqY1pGRpYNVotQ4PlYz39NYEBAMD5oUIn1j766KPT1lssFo0aNUqjRo0qn4AAAACAMziW69R7fx8qtG7a/kO6JNBfkb72co4KAACUhfPqGmsAAABARZfqdCkjL0+SVN3hq2bBAUr085UkZeUZJTu53hoAAJVFhR6xBgAAAJxvLBappsOufv422f/8Q9adfymveg3l1rtE72W6xCxQAAAqDxJrAAAAQCkKs/non5YcpY8Zq+ysTHe5xc9PDw97Un4+LF4AAEBlwVRQAAAAoBQFpacqa8obMicl1STJZGUpa/LrCkw77qXIAABAaSOxBgAAAJSivLTjch4ufPEC59EjyktNLeeIAABAWSGxBgAAAJSivOyc09YbZ245RQIAAMoaiTUAAACgFFkdvrLY7YVX+vjIFhJavgEBAIAyQ2INAAAAKCXp2dk6HBCogOtuKrQ+rNM/ZPF1lHNUAACgrLAqKAAAAFAKnHlGP2Vk6839ybqncXM1iYiU89P/KPfAftmjYxR6w82y2n0lGW+HCgAASgmJNQAAAKAUJDudem//iUUL/p2eoy1Va+uKQcNUxWLRQWOUEhauMGeOgoNDvBwpAAAoLUwFBQAAAEpBitOlSLtdb0UE6k2fHN23509dmpmmKJtV8zJdyjF5WpiWpdMvbQAAAM4njFgDAAAASoHdIj0fZNOBN17Wsf1//688Ll7PDx6uv202+VikTFeeHFb+vw0AQGXANzoAAABQCmLTUnVoypvKPSmpJkm5+//W4alvqmpmulqHhcjHYvFShAAAoLSRWAMAAABKQV5GurJ37Si0LnvHXzLpxxXiYyOxBgBAJUJiDQAAACgFJjPz9PVZWdqUlimXM7ecIgIAAGWNxBoAAABQCqyBQVJRo9EsFlkDg/T1sVQdN+UbFwAAKDssXgAAAACUAoufn4KuuFJp69bIr3kL6Zq2ko+PtPUP+R45rCO+fsrNSBfj1QAAqDxIrAEAAAClwBYYqPAbe0k9b9OXmblakZ6tbKdRgwbNdVdMhBYcTtalQYEyhiFrAABUFiTWAAAAgFJgCwhUstWml/cc0L7s/41L+zUjW0/v/FuPVY+TTZKfzea9IAEAQKniGmsAAABAKdmZ4/RIquVzGenLIylySQr1IbEGAEBlQWINAAAAKCVrUtKKrPslPUMxvnY585gKCgBAZcFUUAAAAKCUhBSxKKgkBVptyjt8SGl5ecoJD1eVwMDyCwwAAJQJRqwBAAAApaSlo+j/W3f095Hrw1k6/uxjytq4XqnpGeUYGQAAKAsk1gAAAIBSEppyTHeE+Bcor+Pnq9Z+dmX/ukkyRun/mixLanL5BwgAAEoVU0EBAACAUhIcFqZrs7LVOCJQa7NdSpdFzWxGEfv3yrJum8J63KjkhfMkY5Tx6y8Kjov3dsgAAOAckFgDAAAASok1KFDOb5bJufgzXVW7jix2X2Xv3qHM48eVKSn6mTHyb3SpnB9/IMvxVG+HCwAAzhGJNQAAAKAUGJdLufuTlPrtcsnlUtaffxRok7b6O829tos63vuAIpw5XogSAACUJq6xBgAAAJQCZ/Ix5R7YL5OVVWQba0aGOoWH6vOcPKVHxZRjdAAAoCwwYg0AAAAoBa7UFGVt3SL/Bo2VsXG9u9waFKyAu+6Vq2ZtGf8AbTqerqoOh7Jk8WK0AACgNDBiDQAAACgVFqX+8J3C2neSxddXkuTf8R/yf/lNHW54qfb5BeqAxapLgvzVMjRIU/cd0NHcXC/HDAAAzgUj1gAAAIBSYAsJkcVm05EFnyju4WFK/+Un5fa8TQuPJOu75FQ5jWSzSC1Dg9U6LFi3x0ZqR3qmgp3JsgUFy+rn5+1DAAAAZ6lCj1gbN26cLr/8cgUHBys6Olo33HCDtmzZ4tGmT58+slgsHrcrr7zSSxEDAADgQuUTVkXR/R5U9l/btf+t16RuN2reoaP65tiJpJokuYz0XfJxLT6SohCbTWvTMnVo3sc6OONd5R494t0DAAAAZ61Cj1hbuXKlHnroIV1++eVyOp166qmn1KlTJ/32228KDAx0t+vSpYumT5/uvu/7/0PvgYrugVXrvB1CsU1p2dzbIQAAUKFZbDYF1G+oaqNf0rElXyjb4acfUg4V2nbd8XRdFxWm+gH+8qtbX0enT1XugSTFDXlUPqFh5Rs4AAAosQqdWFu8eLHH/enTpys6Olrr16/Xtdde6y53OByKjY0t7/AAAAAAD1aHQ6paTdm97lKOK09GUg0/h8J8bDqQk6v9Of+7plqmK091/H3lW7e+JCl7x3Y5jxwmsQYAwHmkQk8FPVVKSookKTw83KN8xYoVio6O1sUXX6x+/frp4MGDp91Odna2UlNTPW4AAABAach25en1/UcUYLPq8cQ4XR4SqCp2mzqFh2poQqxifO2SpGAfm/7MzJLLZpPt/5Np2Xt2ezFyAABwtir0iLWTGWM0dOhQXX311WrYsKG7vGvXrrrllluUmJioHTt26JlnnlG7du20fv16ORyOQrc1btw4Pffcc+UVOgAAAC4gdqtFjQP9dCjXqQm7k5Rr/v8CazquUJtND1aL1sLDx+Qji+YePKZLQhyKuPVOpf13tXzCI7waOwAAODvnTWJt0KBB2rRpk77//nuP8ltvvdX9d8OGDdW8eXMlJibq888/V8+ePQvd1ogRIzR06FD3/dTUVCUkJJRN4AAAALigBNhs6hARppF/7TspqXZCisulTw4e1cPVYrQ9M0v/TIiRKytTtuo15fPXdtlCw5SXmSmrv7+XogcAAGfjvEisPfzww1q4cKG+/fZbVatW7bRt4+LilJiYqK1btxbZxuFwFDmaDQAAADhXqU6XMvLyCq3bnpmtNFeePj54VAdynHJYLepQJUQd23XSvpGPq8rd98l+WQsF+TnkTD6mvKwsWe122ULDTlzDDQAAVBgVOrFmjNHDDz+s+fPna8WKFapZs+YZH3PkyBHt2bNHcXFx5RAhAAAAUFCGq/CkWr7DuU4dyHFKkrLzjD4/kqJdgf66b9AwHX19vGIuuljHVqxT8mcLlJeZKdlsCr7yaoXf1Et2posCAFBhVOjFCx566CHNnj1bc+bMUXBwsJKSkpSUlKTMzExJUlpamoYPH67Vq1dr586dWrFihXr06KHIyEjdeOONXo4eAAAAF6oq9qL/fx1ss8p1yhRRSdqcnqmMWhfJYrPJ7NsjW2CQou7tr8jb7pZvTJyO/7BSB959W87jLLwFAEBFUaFHrE2ePFmS1KZNG4/y6dOnq0+fPrLZbPrll180a9YsJScnKy4uTm3bttXcuXMVHBzshYhRUawb/IC3Qyie2/p6OwIAAFAG9mVn65qwYH2XfLxA3Q1R4fr6WOHJse3Zubqyd18pK1vJX36m3INJssfEKqxzdxnl6cjcOXIlJ8snOKSsDwEAABRDhU6smUL+k3cyf39/ffXVV+UUDQAAAFBcFtUL8FOcr11Lj6bomNOlqg67bouJ0O/pmfotPbPQRwXbbDIul44f2C/bXX3k48qT+Xa5Ds36l6rcfLuCx7ys4y6nuNIaAAAVQ4VOrAEAAADno0sC/TVi+x7F+frq7thIVfdzaGNaukKsNve11U7lsFhU09+h5GZX6N9HU/VzWqb8fazq0KuPWvd/SI4d22XPydYxu6+Sc3JltVrlNEb+Vqv8bRX6Ci8AAFRafAMDAAAApSzS7qORNasq2+Tpjb0HdDAnV58cPKpZSYfVKzpc8b52j/Z2i0XDq8cpM8/omd0HtO54hnKNUarLpXmHj+m1vYeUXKO2Ur5bIR9nrn5Nz9CYnfs0YtseTd6XpN2Z2copYhVSAABQdhixBgAAAJQyi8WiBD+HnqoRr+POPNlk1CU8VJ8eTtaSo8l6OCFGSdm52p6ZrXiHXbX9/bQrK1ufH0lTbiGXQ9mZla3tWTm6pMeNmnfwqJYfOeSuW5OaofWpGXq2ZlXVDfQvz8MEAOCCx4g1AAAAoIyE+viomp+v4vwc6hoRpk7hIfrm2HGN37VfB3NydW1YsHLz8rQ3O0d2i0W/pGUUua3f0zOVZrFqdUaOGgf5q1Ggv/ysFkmSS9K//j6kFGfh00wBAEDZYMQaAAAAUA7C7D66IyZS3SLDdDzXKYfVKquM1h5PV6Kfn5qHBMphtSrj/6d0Btusinf4KsOVpz3ZOYqx25XpytOAqtHanJYhi0XqEB6qfdk5+uTgUe3JztHxnFw5nU4F6cT0UquDZQ4AAChLJNYAAACAcuJns8rP5qsYX18dyTkxFTTFmadgm1U2SVeHBeuHlOO6OzZSNov0V2a2Qmw21fB3KNbXRx8dOKr/pqa7t7f0aKquCQ3SPxNi9PqeA7IZI/+sLK1xSXVNnoJ27ZBPlXD5RkV776ABAKjESKwBAAAAXpJjjI46nboowE/bMrPVNChAV4QEasb+w9qbnSNJskjqHB6izAB/j6Ravu9S0tQsJFCvXVRddouknGw1TktRbnSskoOC5JOTrbCUFPkEBsrq49n9z3LlyWmM/KxW+fz/tFIAAFB8JNYAAAAALwjyseloTq66RYRp+dFUtQoL1obj6coyxiOp9kDVaDmsFn1xJKXIbX1zLFWZwUG6ONBPJiBQ1oBApbrytDHluP7IytY/IsKU6HQp1+lSjjGySgpwOpUii/a4XNqVmaM4h10NgvwV4WMnyQYAQDGRWAMAAAC8wGG1qkVosDLyXEpxuuRrsahRUIDe2JvkbtOuSoh+S89UlK9dGa68IreV4crT/txc1TIOZUqyGkkWKdDHR/fFhcjk5SnZ6ZL1eKp8jh2RKyNdWbFxCgoKUV1nrpZnZmnRkWTZLRY9nhiraLtdMkbJTpccNptCfGyqYuenAwAAp2JVUAAAAMBLYhx2+VutMsZIMor29ZHT/K++WXCgvks+ru0ZWWoQ6F/kdhoEBmh7Zrb25+QqOdcpq9WidanpCrXb9PKu/bJZrbLLaL/NR4eiYmWLjVfOh7OUtfA/8pf0SEqS3o2vovHVYxRttUh5LuXk5ijMIoU5c5SRm6P92TlyZmYqLyurzM8LAADnCxJrAAAAgBfF+NrVODhAY3ftV3KuU3G+dned0xjlSdqYlqFmwYEKshXsvof62FQv0E+/pWfKbrHoYK5T+7NzdFVokFxG6h5VRQsPJ2v4zv2aeDBZLx44phEp2Trcd5Dkcirnl59l6tTVJvloQtJRLUlOV7bFqlybXakWq5J97LJbrJq0J0mfpmbqoJEOpaQqNzNDGS6XMlwuOfOMMpwuZTidOpabq+M5OcpNSVH65k3K/PMP5R45LONyleNZBQCgfDCeGwAAAPAii8WihoEBer5WNS0/mqJbo8M1ce8BSZKP5cS1zoykmUmH9ERivBYdPqZ1x9NlkXR5SJDahIVo2v6Dirb7KNnp0s/HM9Q9MkwuIx3OzZWv1aplx1I99pltjF7Zd0gv33yHUkc/qcCGjfVlapZuiAxVNT8/fZh0RD+lZUiSGgX666bocP2zaoyS8/K0MydX/labjhurvkk6rH05Tl0fEaYwu03fJR+XVRY5rFbV9ncoIa6qbOvXaP9bryt+yHD5Vk2QM+24TE6OcpP2Ky8jXX41a8kWFq5Mu6+cTqf8szKl46myBgTKp0oVWayMBQAAVFwk1gAAAAAv87NZdVGAn+IcdmW68jQiMU7vJx3Rnuwc1fJz6K+sbP2dnauJu5P0dM14XR0arFxj9HNahl7ZvV8BNqserBqt9/4+pIsD/HQ0N1cRdrtq+fvpvb8PFbrPPEk/pqap9eUtdCQ7R7fGRCjEZtPonfuUftL13DalZ+ryrGytys7VkqMpyp+p6me16L64KOWZTDmsFv2dk6twu10b0zLka7Eo0tdHsvspvnFT2a9oKVdOljI2bVTGju3KbX6lsmvWkY+vXVZj5DIWfX/oqBxOp66x5SnIGPlkZSp7b5pyAoOUHhCoA06XHFaLIqxWWXNzdNxIPjabAnNzFJSdLYuvXT4hobL4FP8nTl5WlvKys2R1OGT185crPV0yebIGBsliYQEHAMCZkVgDAAAAKohAm02BNpsife2q4edQdl6erggO0PjdSUrKydVhp1M/paarRoCfDufmKsrXrvvjo+RrsWjm/sM6lOvUA1VCNDfpiG6Pi1SIzaYjuc4i97fPaf6vvTsPj6rK8wb+vbWmKpWqVGUvsiEOKISgBFoJsgwqAVFcWgZxGrEbVJRVGBWHcYC44IpMt9K2y6A99ttgt+CLNgphB4M2HYKGZRAlEAgJISFJVbZaz/wRUqRIJamEJFUVv5/nqedJnXvuvefeU6fq3F/OuReaQekocgkkSxL2VFm9gmoAkBqmgk0IbLno/VTSBrfAH4rL8FK/JFS7XPhr2UUU2xye5f+w1mJ4RDimxUXBcbEClo3r4Lzmn3BkxFj8xVKP2jONo/IGhmtwb4wRt8sFXJs3wZq7B1aXC5JKBf1tWagZdSuWlpxFU6nCZTLMMscgp9KCo7X1SA5TYbZWAf2u7QhPS4cyLh4KQyQAoMrpxAW7A0dq6xEhl2NQuAZGhQJKuw320nO4+PlGOIqLoezTB5Hj70DD8WOozc9DxMhRCB86HMqoaFQ5nLjodKLU5kCUUoEYlRImpQIuqwUuiwXuhgbIdDrI9QbINa3fB4+IiHonBtaIiIiIiIKQodlTOJf17YMLdgdK7A7EKeSIVMixrrQCtW43LE4XLJfuXzbKEAGVTIYb9Fo4L03bTAlT4cd6m899DJQJCEMkvqhz4REh8ENdfYs8oyP12HpFUK2JC8A/LLXQyWVeQbUmB6y1GGfS4zqZhAvl5Tg5+V/wYVWtV56jtfXIVACmv/4J9d8d9KQLux3Vmz9HmMOJsZm3Ykdt40MTat1urCkuw6LkeBytrUdRgx0vOpzIviED7r07oUpORcTNI2FRKPHbM6U4Vnf5YQsSgLmJcRh04RzKX1zmSXecL0HdwX8gevqvIdNoUP6nj1C9Zxc0/74CbxSX4XSD3ZM3RqnAkqQ4SO+/g7qm8koSIkaORtT906CIjPR5rlrjttvhrCiH9dtcOM4VQzMwDdq0dCiiontk1Jy7oQFOSzXcNVZIKhXkegMUekO37tNpscBdY4VwuyEPD4fCaOrQ+i6rBW6bDcLtBiBBOOyQ63SegCoRUU9iYI2IiIiIKMgZlQoYlQr0v/Rk0Lq6OjyWGIsfautxwFoLlSTDaGMEIhVyFDXY8Au9DjsuWpAcpsIDcVF44dS5FtuMkMswSKPGNzYHKh210MplCJfLW+TTK+Qod7QMmjUpttuhaeM+aHsqrejnqIF0x2T8pc73dga4HF5BteYaduZg3Ohx2NEszSEEfqq3eabJ1rrcOCZXY8CpQmgHpcPRUI8ce51XUA1ovFfdW2fP45XIcECSACG8ll/8dD1iHn4E9ceOQP6Lm/FuSblXUA0ALjicePVsGZ4aORpoKrMQsO7bDVmYBlH/8iBkKlWr58OrPE4n6o8dRsl/vQ64G8fk1fx9P2ThOiT++3Ko+iT6tZ3OclZXo/KLz1C9YytwKTirMicift6TUCX06fL9Cbcb9rNncP79NbAXnQYAKExRiHn4EWj6XwdZWFib67tsNtiLTqH8/30EW+FJSGFhiMgchfDBQ3D+3U8RO/03UKf27dB04FDjqq2F82I5rLn74KqtgXbQYCiiY6AwREJhigrJexK6hUCFw4miBjsuOBxIDVMjTqWEUdn5erQ6XSh3OHHQWgMZJGTow2FSKKBTtPyOo+BgcTo9I6Z1cjki2qir2kv/ULK5BTRyGYwKOVQB/Oz33m8cIiIiIqJeSqvVQgtAKwFp4RpIktQ4esflxM0qOWqEwB2GcLhdTljtNiyI1uOPVbWodDYGT/pp1HgkXAW3cOP9yho8FBeFCzYHRkbqcOjSQwualNodSAlT46dWRr1dHx6Gb6prfS4DALsQEFYL3AYjKuwtp6WqJQlSVWXrB+t0QtVQD8D7oumC3QFDswuv/4Ucg4wmQLhhlSnwVUW5z80JAAddQMY1/WD76UevZe66Ok9gwjX4RhyuafCxBeC83YF6c2LjiLJmwTnL7u2IzLoDspjY1o+n+aFVVaL07f/yBNU85aitwfn318C8aAnkEXq/ttVRwuWCZc8OVOd86ZVuP3cWxa+8gMT/fAFKU1SX7tNZXo6zLy2HaLg8MtJ5sQIlb76CxP98EWF9r2lzffvpQhSvXOE556KhAZYdObAV/gTD2HEofiUbSdmvQJVg7tJyBwtXbQ2qt2/FxQ2feNKse3ZCndIXxnvvh8tqQVjffgEsYce5hcCpBhteLDyH2mbtwKxWYkmKGbHNnpLsr2qnE38qLceeqhpP2vqyi7gjyoB7YkzQM7gWVJxugSKbDe8WX8CphsbfmX4aNR4xxyIpTAX5FSN3y+0OvH/ugue3SilJGG/S465oIyKvIhh7NUIvnE1EREREPytr1qxB3759ERYWhoyMDOzduzfQRQoakSoVotUqRKmUiA5Tw6TVolalhl0mg0KlQpQuAqaICAzRqLEi1oCXTFq8atJivlqC3S3wxxoblhi1yLhYisQwJaodLtxq9A7k7Ky04J4Yo8/96+QyXKfVoI+69YvfMZERkIXrILc1+BzZZhcCkk7X5nEKlbpFWnKYGuebjaRLhBsuqwWQyyHkctRdEaxqrlIAsjBtK0sbL+Ls7UzDtLoFJLV3uYTDAbfNdzDOF0dpCYTdd8DSVngSrpoan8u6grOqElVffu5zmauqEo6SlqMcr4YQAjUHvvEKqjVbiIsbP4Grvq7lskucVgvK//Rhi1GGQOO5kmm0kFQqVG/fAncbIyxDmbOi3Cuo1sR2uhANx46gastmOCvbCFIHoUqnEytPeQfVAOCczYH/PncBdZdGUnbE8doGr6Bak80V1Thrs/tYgwKpzOHAspPFnqAaAPxUb8OywrO4YPduy9VOJ1YVlXr9A8ghBP5WUY0vK6rgaON7vzsxsEZEREREQWv9+vVYuHAhli5divz8fIwaNQoTJ05EUVFRoIsWlGSSBJNSiQS1CpFKBeQyCUalAlqDAbEmE1Kjo5BoMkEdGwd9lAmzYyIxUKuBKTYOpsqLSFcr0EelxFPJCZgcHYnJ0ZFYkBiHFLUK8xLjYGg2VbRvmBoLEuPxtwuVyDJFQu9jGmm/MDVkAI5rdFCf/BETwltOkRQAitUaKOMSfB6TemAa8uG97Qi5DLEqBc5duq+bQgIyJDcUkUbYThVCLZPQT9MyGNckXS7BXnym5fnTRUBcCsqEOR1QtBFbM0mNI6a8KBSQqdueztic2+Y7qNZEOFt/8MTVEnY73HWtB7LsxWe7dn9OJ+r/92iry22FJ1uez+brNzTAdvpUq8sbTv4IlTkRDSeOQ3QguBlKLF+3/k8Fa+4+aK4fCJfV9/0Qg1WZ3Qmry3cw5LuaOlicHQus1Thd+Ly8qtXlm8srYQtQ8IVacrjd2FxeBYevgLlbYEelBS735WUXHU6cbPD9vfllRTWqOvh56SqcCkpEREREQWvVqlWYOXMmZs2aBQBYvXo1tmzZgt///vdYuXJli/w2mw22ZsEKi8XSY2UNBbJLI78imxLUlwNdSgDJAIxOFyxOFxJUCqhkMmhkMoQrGp9Ueq1GjZpLF8FamQwKScK0+Gho6muxIjUBOVVW/N1SC5Uk4TaTATdFaFHlcuO/G5x4cNgIjFOrcM4t4dvay6OWdHIZVJFGRMxbBMvqV+Esv+BZpkpOQcT0mdhuuRwoSQ1T44E4Ez4qKfeUY4FBA2XuLkTcMgbK2DiotFo8FC9heWExrrxcM6uUSA7Xorq6ynuBJCF66r+iettXAAD5wQPIGnkb/ubjwQ03atVQHP4OV4a99KPHQW7w/8b/qj6JPu/1BgDySCNk4W2P5LsakkoFmVbbanBNZe7ae6xJcjmU8fFAge/lClMUJGUb0/5kMkhKpSfweSW5Nhxumw3KmFhISv/ucRdqXNbWv8/cDfWQKVUQbTwFOBi1FTgTaBzR2hEuCNS0McrN4nLDKQRaD7tTT6pzu3HMx0NzmhyprUe92w2drPGfK+ftrY9GtQuB+gAFTRlYIyIiIqKgZLfbkZeXhyVLlniljx8/Hrm5uT7XWblyJVasWNETxeu1IhS+bxotkyTEqVWI87WS0oAEANPUKtwVbYQMjQ89kCQJUQCeSTU33pRaAn6t1WKKJKHY7oRWLoNeLoNaJoOIiYNpyTKIixUQF8uhio2DXKWG2+3GfybFoU6SQSHJoJEAp9uFGbEmqCUgSrgQYbVCdtMIyHURUFy6L1iKRo3n+vbBh+cuoMhmh0ICRhoiMCXWBJNwQ//Cq6jO+Qr2M0VQJSZBP3ocav7xLYTTieh/nYHwocNxlz4SSpmELyuqYRMCcgkYHRmB+4161P3pm8vHL0nQ3ZwJ0+R7PcFLf8j1ehhuzfIE85qL+dWvoTD6noLbFRSRRkROuNPn1EJ5pBHKrg6syWTQj70V1du2+AwkGu++D3JdRKvry/V6RIwaC8uOHB8bl6Du2w8X//+niJ0xEzJ17wybRNw0AjW5vketaQYORsOpkwj7pwE9XKqrY25jGrlWJoO2gzek18pkGBKhRUmF75F7GRHhbT5shXqWSpJgVCh8PlUaAEwKOZSyy0OHTW3cQ00OQC3r/icp+8LAGhEREREFpfLycrhcLsTFeYdy4uLiUFpa6nOdZ599FosWLfK8t1gsSEpK6tZy0mVKmQxGHxeteoUC+qYrD1XjiLlEjY8NqKOB6GgA3sEBX1ljmydGRrZYHiaTYWC4BktTzah3NwbF9Ao51JfKp+6ThOhf/RrCZoOkVkOmUEAZnwDjpMmQhesgSRIiAfwy1oRbTQbUu91QSzJEKhu3YVjwFFxWC9z19ZDrIiDXGyDXtnbfNt/k2nAYJ98Ldd9rUPn5RjgryqFO6YuoKdOgSk5pfDhCN5HkcujHjIOruhrVO3M8D1BQJpiRMH9xlz+4AACUUTGIe3w+yt5bc3nkmSTBOOluaNoJCMmUKhgn3YOGE8dhP9NsKrgkIfrBh2DZtxsxv3oYyl764AIAUCWnQpWU7H38ACSlEobbxsNefBZyQ2RgCtdJkQoFbtRpkV/TcuTk/bGmDj8ZVCmTYYLJgN2VFtS7vQO4EXIZRhh0kHVju6KO0cjluDvGiMO1vket3Rlt9HxnA0C0UokYpQIXfIzMzDREwCAPTIiLgTUiIiIiCmpXBheEEK0GHNRqNdS9dLQKdY5BqUBrkzNlCgWguHxJJA8Pb5FHKZMhRtUyWKjQG6DQ+z/tszUKvQH6kaOhTUsHXC5IKlWbI7e6ksIQiagpD8CQdQfcVmvjvvV6KLopOCMLC0P4DRlIfmkV7CXFEE4HVH2SINfrIde0H5RURkXBvHgJ7OfOofb7Q1DoDdAOGgy3rQHhQzIgNxh67Wg1AFAaTUh48hlUb/sKll074LY1QDtwMCIn3AHhBvQjx0CmCq1psBEKOR7pE4vPL1Rie6UFdiFgkMsxJc6Em/S6Fk+E9EesSonnr0nCx6Xl+K6mDhKA4fpwPBAX1amnjFL3Sg1T474YIzZcuPzgDQnAA3FR6KP2/jyblAo8m2rGK6dLvKaFpus0mBZvQpg8MKMRGVgjIiIioqAUHR0NuVzeYnRaWVlZi1FsRKGuu4JZ7ZGFaaAK0wCxPdOmZCoVZDExUMbEdGp9RaQJikgTtAPTurhkoUFpikLULx+A4baJEE4HIJdDplBC0YF7+wUbk1KBB+OjcEd0JBxCQC1rnB7Y2ZFlMklCYpgK85PiGqegA9DJ5dAEKOhCbYtQyHFndCRGRUbgh7oGyAD8kzYMBoXCZ52Z1Sos79sHlU4nLE4XopUKGBQKn7cw6CkMrBERERFRUFKpVMjIyEBOTg7uvfdeT3pOTg7uvvvuAJaMiChwJLkcSpMp0MXoUq2NDL0aWrkcWh9PK6bg01RXCWr/RlwalYoOTxPuTsFTEiIiIiKiKyxatAjTp0/HsGHDMGLECLz77rsoKirC7NmzA100IiIiIgbWiIiIiCh4TZ06FRUVFcjOzkZJSQnS0tKwefNmpKSkBLpoRERERAysEREREVFwe+KJJ/DEE08EuhhERERELfDufURERERERERERJ3AEWtEFDD/mB8a98cZ9tt3Al0EojaFSlt6/4FZgS6C397JHBboIhARERFRCOCINSIiIiIiIiIiok5gYI2IiIiIiIiIiKgTes1U0DVr1uC1115DSUkJBg0ahNWrV2PUqFGBLhYRUcgLlWmGnLJLREREREQ9rVeMWFu/fj0WLlyIpUuXIj8/H6NGjcLEiRNRVFQU6KIREREREREREVEv1StGrK1atQozZ87ErFmNN0VevXo1tmzZgt///vdYuXJlgEtHRKFudu4/Al0Ev/Bm60RERERERD0r5ANrdrsdeXl5WLJkiVf6+PHjkZub63Mdm80Gm83meV9dXQ0AsFgs7e6vxm6/itL2LHttTaCL4Bd/zntHhUo9hUodAaynUNAddQSETj111/GHglCpo1BpS4B/n6emPEKI7i4OXYWm+vk5f0cQERFRx3SknyeJEO8Nnjt3Dn369MHXX3+NzMxMT/pLL72Ejz76CMePH2+xzvLly7FixYqeLCYRERH1UmfOnEFiYmKgi0GtOHv2LJKSkgJdDCIiIgpB/vTzQn7EWhNJkrzeCyFapDV59tlnsWjRIs97t9uNixcvIioqqtV1Qo3FYkFSUhLOnDkDvV4f6OKQD6yj0MB6Cg2sp+DXG+tICAGr1Qqz2RzoolAbzGYzzpw5g4iIiC7r5/XGz/PPCesvtLH+QhvrL3T93OquI/28kA+sRUdHQy6Xo7S01Cu9rKwMcXFxPtdRq9VQq9VeaZGRkd1VxIDS6/U/iw99KGMdhQbWU2hgPQW/3lZHBoMh0EWgdshksm4bUdjbPs8/N6y/0Mb6C22sv9D1c6o7f/t5If9UUJVKhYyMDOTk5Hil5+TkeE0NJSIiIiIiIiIi6kohP2INABYtWoTp06dj2LBhGDFiBN59910UFRVh9uzZgS4aERERERERERH1Ur0isDZ16lRUVFQgOzsbJSUlSEtLw+bNm5GSkhLoogWMWq3GsmXLWkx5peDBOgoNrKfQwHoKfqwj6k34eQ5trL/QxvoLbay/0MW6a13IPxWUiIiIiIiIiIgoEEL+HmtERERERERERESBwMAaERERERERERFRJzCwRkRERERERERE1AkMrBEREREREREREXUCA2shYs2aNejbty/CwsKQkZGBvXv3tpr34sWLmDdvHgYMGACtVovk5GTMnz8f1dXVXvlSU1MhSZLXa8mSJd19KCFv5cqVGD58OCIiIhAbG4t77rkHx48f98rz8MMPtzi3N998c7vb9qdOioqKcNdddyE8PBzR0dGYP38+7HZ7lx5jb7B8+fIW5zI+Pt6zXAiB5cuXw2w2Q6PRYOzYsThy5Eib29y1a1eLbTa9Dhw44Mnna/k777zTbccaKnx9viVJwpw5cwB0vt28+OKLyMzMhFarRWRkpM88/rSbgoICjBkzBhqNBn369EF2djb4fJ/L9uzZg7vuugtmsxmSJOGzzz7zWu5Pm7LZbJg3bx6io6MRHh6OyZMn4+zZsz14FERdoyP9MgqM7ugHUPfhb0xoa6/+/Onjsf4Cw59rW7a/9jGwFgLWr1+PhQsXYunSpcjPz8eoUaMwceJEFBUV+cx/7tw5nDt3Dq+//joKCgrw4Ycf4quvvsLMmTNb5M3OzkZJSYnn9R//8R/dfTghb/fu3ZgzZw6++eYb5OTkwOl0Yvz48aitrfXKN2HCBK9zu3nzZr+231aduFwuTJo0CbW1tdi3bx/WrVuHTz/9FIsXL+7SY+wtBg0a5HUuCwoKPMteffVVrFq1Cm+99RYOHDiA+Ph43H777bBara1uLzMz02t7JSUlmDVrFlJTUzFs2DCvvGvXrvXKN2PGjG47zlBx4MABr3OSk5MDAJgyZYonT2fajd1ux5QpU/D444/7XO5Pu7FYLLj99tthNptx4MAB/O53v8Prr7+OVatWXeVR9x61tbUYMmQI3nrrLZ/L/WlTCxcuxMaNG7Fu3Trs27cPNTU1uPPOO+FyuXxu89SpU5AkqVuOh6izOtovo8Dp6n4AdZ9A/MZQ12mv/oD2+3isv8Dw59qW7c8PgoLeL37xCzF79myvtOuuu04sWbLE72188sknQqVSCYfD4UlLSUkRb775ZlcV82errKxMABC7d+/2pM2YMUPcfffdHd5We3WyefNmIZPJRHFxsSftz3/+s1Cr1aK6urrD++vNli1bJoYMGeJzmdvtFvHx8eLll1/2pDU0NAiDwSDeeecdv/dht9tFbGysyM7O9koHIDZu3NiZYv+sLFiwQPTr10+43W4hROfbTZO1a9cKg8HQIt2fdrNmzRphMBhEQ0ODJ8/KlSuF2Wz2lI8uu/Iz7k+bqqqqEkqlUqxbt86Tp7i4WMhkMvHVV1/53E9hYaFgV4WCTVf0y6j79UQ/gLpHT/3GUPfw1Q9ur4/H+gseV17bsv35hyPWgpzdbkdeXh7Gjx/vlT5+/Hjk5ub6vZ3q6mro9XooFAqv9FdeeQVRUVG44YYb8OKLL3JKYSc0TbE1mUxe6bt27UJsbCz69++PRx55BGVlZX5tr6062b9/P9LS0mA2mz1pWVlZsNlsyMvL64Kj6V1OnDgBs9mMvn374oEHHsDJkycBAIWFhSgtLfVqV2q1GmPGjOlQu9q0aRPKy8vx8MMPt1g2d+5cREdHY/jw4XjnnXfgdruv+nh6E7vdjo8//hi/+c1vvEYkdbbdtMWfdrN//36MGTMGarXaK8+5c+dw6tSpqy5Db+dPm8rLy4PD4fDKYzabkZaW1qF2RxRIXdUvo57R3f0A6hn8jekd2urjsf6Cx5XXtmx//lG0n4UCqby8HC6XC3FxcV7pcXFxKC0t9WsbFRUVeP755/HYY495pS9YsABDhw6F0WjE3//+dzz77LMoLCzE+++/32Xl7+2EEFi0aBFuueUWpKWledInTpyIKVOmICUlBYWFhXjuuecwbtw45OXleV24X6m9OiktLW3xWTAajVCpVH5/Hn4ubrrpJvzxj39E//79cf78ebzwwgvIzMzEkSNHPOfKV7s6ffq03/v44IMPkJWVhaSkJK/0559/Hrfeeis0Gg22b9+OxYsXo7y8nFOtm/nss89QVVXlFZTsbLtpjz/tprS0FKmpqV55mtYpLS1F3759O73/nwN/2lRpaSlUKhWMRmOLPPz+olDRFf0y6hk90Q+gnsHfmNDXXh+P9RccfF3bsv35h4G1EHHlPWaEEJAkCS+99BJeeuklT/rRo0eRnJzseW+xWDBp0iQMHDgQy5Yt89rGk08+6fk7PT0dRqMR999/v2fEFLVv7ty5+P7777Fv3z6v9KlTp3r+TktLw7Bhw5CSkoK//e1vuO+++zB79mx8/PHHnjw1NTUA/KsTX/cbavo80GUTJ070/D148GCMGDEC/fr1w0cffeS5WWpr7QpAq3XU5OzZs9iyZQs++eSTFvtuHkC74YYbADTeO4+Btcs++OADTJw40WsUWWfbjT/8aTe+Pg+trUu+tdWmWnNlnkGDBnk6ak11oNPpPMtTUlJ4g3EKuM581qlnXW0/gIJPV/zGUGC018drDeuvZ7V2bQuw/bWHU0GDXHR0NORyeYtIb1lZGeLi4jB79mwcOnTI82p+kWq1WjFhwgTodDps3LgRSqWyzX01dTJ+/PHHrj+QXmjevHnYtGkTdu7cicTExDbzJiQkICUlBSdOnADQGGRpXm+tubJO4uPjW3wWKisr4XA4WvwXgbyFh4dj8ODBOHHihOepYK21K6D9Olq7di2ioqIwefLkdvd98803w2Kx4Pz581d/IL3A6dOnsW3bNsyaNavNfJ1tN1fyp934ytM0RYFtq33+tKn4+HjY7XZUVla2mgcANm/e7KnjphsbN693fx8EQ9Qd2uuXUfDqaD+AgkdX/sZQcLiyj8f6C7zWrm3Z/vzDwFqQU6lUyMjI8Dw9r0lOTg4yMzNhMplw7bXXel5N91CzWCwYP348VCoVNm3ahLCwsHb3lZ+fD6Dxi45aJ4TA3LlzsWHDBuzYscOvKWIVFRU4c+aM59zGxsZ61VtrrqyTESNG4PDhwygpKfHk2bp1K9RqNTIyMq7msHo9m82GY8eOISEhAX379kV8fLxXu7Lb7di9ezcyMzMBtF1HQgisXbsWDz30ULsBa6CxHsPCwhAZGdmlxxSq1q5di9jYWEyaNKnNfJ1tN1fyp92MGDECe/bs8bqn4datW2E2m1tMEaWW/GlTGRkZUCqVXnlKSkpw+PBhTx6gcURaUx2npKQAgFe9N6URBUJ7/TIKXh3tB1Dw6MrfGAoOV/bxWH+B0961Ldufn3r2WQnUGevWrRNKpVJ88MEH4ujRo2LhwoUiPDxcnDp1ymd+i8UibrrpJjF48GDx448/ipKSEs/L6XQKIYTIzc0Vq1atEvn5+eLkyZNi/fr1wmw2i8mTJ/fkoYWkxx9/XBgMBrFr1y6vc1tXVyeEEMJqtYrFixeL3NxcUVhYKHbu3ClGjBgh+vTpIywWS6vb9adOnE6nSEtLE7feeqs4ePCg2LZtm0hMTBRz587t9uMONYsXLxa7du0SJ0+eFN9884248847RUREhKfdvPzyy8JgMIgNGzaIgoICMW3aNJGQkNBmHTXZtm2bACCOHj3aYtmmTZvEu+++KwoKCsSPP/4o3nvvPaHX68X8+fO7/BhDkcvlEsnJyeKZZ57xSu9suxFCiNOnT4v8/HyxYsUKodPpRH5+vsjPzxdWq1UI4V+7qaqqEnFxcWLatGmioKBAbNiwQej1evH66693/UkIUVar1XNuAXi+r06fPi2E8K9NzZ49WyQmJopt27aJgwcPinHjxokhQ4Z4fpuuxKeCUjDqaL+MAqM7+wHU9QLxG0Ndp63687ePx/oLjPaubYVg+/MHe6sh4u233xYpKSlCpVKJoUOHeh5/68vOnTsFAJ+vwsJCIYQQeXl54qabbhIGg0GEhYWJAQMGiGXLlona2toeOqLQ1dq5Xbt2rRBCiLq6OjF+/HgRExMjlEqlSE5OFjNmzBBFRUVtbtffOjl9+rSYNGmS0Gg0wmQyiblz54qGhobuOtyQNXXqVJGQkCCUSqUwm83ivvvuE0eOHPEsd7vdYtmyZSI+Pl6o1WoxevRoUVBQ4Ne2p02bJjIzM30u+/LLL8UNN9wgdDqd0Gq1Ii0tTaxevVo4HI4uOa5Qt2XLFgFAHD9+3Cu9s+1GiMZHuPtqkzt37vTk8afdfP/992LUqFFCrVaL+Ph4sXz5cuF2u7vkuHuD1n5bZsyYIYTwr03V19eLuXPnCpPJJDQajbjzzjvbrGMG1ihYdaRfRoHRnf0A6nqB+I2hrtNW/fnbx2P9BUZ717ZCsP35QxLi0p2BiYiIiIiIiIiIyG+8xxoREREREREREVEnMLBGRERERERERETUCQysERERERERERERdQIDa0RERERERERERJ3AwBoREREREREREVEnMLBGRERERERERETUCQysERERERERERERdQIDa0RERERERERERJ3AwBoRBdzYsWOxcOFCAEBqaipWr14d0PJ0N3+OUZIkfPbZZz1SHiIiIqJg93PrLxJR6FAEugBERM0dOHAA4eHhfuVNTU3FwoULPZ2s3qSkpARGozHQxSAiIiIKOuwvElEwYWCNiIJKTExMoIsQFOLj4wNdBCIiIqKgxP4iEQUTTgUloh5VW1uLhx56CDqdDgkJCXjjjTe8ll85tH/58uVITk6GWq2G2WzG/PnzATROBzh9+jSefPJJSJIESZIAABUVFZg2bRoSExOh1WoxePBg/PnPf/bax9ixYzF//nw8/fTTMJlMiI+Px/Lly73yVFVV4dFHH0VcXBzCwsKQlpaGL774wrM8NzcXo0ePhkajQVJSEubPn4/a2lq/z4PVasWDDz4InU4Hs9mM3/3ud17Lm08FPXXqFCRJwoYNG/DP//zP0Gq1GDJkCPbv3+/Jf/r0adx1110wGo0IDw/HoEGDsHnzZr/LQ0RERBQs2F8kolDCwBoR9ainnnoKO3fuxMaNG7F161bs2rULeXl5PvP+9a9/xZtvvok//OEPOHHiBD777DMMHjwYALBhwwYkJiYiOzsbJSUlKCkpAQA0NDQgIyMDX3zxBQ4fPoxHH30U06dPx7fffuu17Y8++gjh4eH49ttv8eqrryI7Oxs5OTkAALfbjYkTJyI3Nxcff/wxjh49ipdffhlyuRwAUFBQgKysLNx33334/vvvsX79euzbtw9z5871+zy89tprSE9Px8GDB/Hss8/iySef9Oy/NUuXLsW//du/4dChQ+jfvz+mTZsGp9MJAJgzZw5sNhv27NmDgoICvPLKK9DpdH6Xh4iIiChYsL9IRCFFEBH1EKvVKlQqlVi3bp0nraKiQmg0GrFgwQIhhBApKSnizTffFEII8cYbb4j+/fsLu93uc3vN87bljjvuEIsXL/a8HzNmjLjlllu88gwfPlw888wzQgghtmzZImQymTh+/LjP7U2fPl08+uijXml79+4VMplM1NfXt1uelJQUMWHCBK+0qVOniokTJ3reAxAbN24UQghRWFgoAIj333/fs/zIkSMCgDh27JgQQojBgweL5cuXt7tvIiIiomDG/iIRhRqOWCOiHvPTTz/BbrdjxIgRnjSTyYQBAwb4zD9lyhTU19fjmmuuwSOPPIKNGzd6Rmi1xuVy4cUXX0R6ejqioqKg0+mwdetWFBUVeeVLT0/3ep+QkICysjIAwKFDh5CYmIj+/fv73EdeXh4+/PBD6HQ6zysrKwtutxuFhYXtngcAXueg6f2xY8faXKd5mRMSEgDAU+b58+fjhRdewMiRI7Fs2TJ8//33fpWDiIiIKJiwv0hEoYaBNSLqMUKIDuVPSkrC8ePH8fbbb0Oj0eCJJ57A6NGj4XA4Wl3njTfewJtvvomnn34aO3bswKFDh5CVlQW73e6VT6lUer2XJAlutxsAoNFo2iyX2+3GY489hkOHDnle3333HU6cOIF+/fp16BivLENbmpe5KW9TmWfNmoWTJ09i+vTpKCgowLBhw1rct42IiIgo2LG/SEShhoE1Iuox1157LZRKJb755htPWmVlJX744YdW19FoNJg8eTJ++9vfYteuXdi/fz8KCgoAACqVCi6Xyyv/3r17cffdd+NXv/oVhgwZgmuuuQYnTpzoUDnT09Nx9uzZVss1dOhQHDlyBNdee22Ll0ql8msfzc9B0/vrrruuQ+W8UlJSEmbPno0NGzZg8eLFeO+9965qe0REREQ9jf1FIgo1DKwRUY/R6XSYOXMmnnrqKWzfvh2HDx/Gww8/DJnM91fRhx9+iA8++ACHDx/GyZMn8T//8z/QaDRISUkB0PhEqD179qC4uBjl5eUAGjtjOTk5yM3NxbFjx/DYY4+htLS0Q+UcM2YMRo8ejV/+8pfIyclBYWEhvvzyS3z11VcAgGeeeQb79+/HnDlzcOjQIZw4cQKbNm3CvHnz/N7H119/jVdffRU//PAD3n77bfzlL3/BggULOlTO5hYuXIgtW7agsLAQBw8exI4dO3D99dd3entEREREgcD+IhGFGgbWiKhHvfbaaxg9ejQmT56M2267DbfccgsyMjJ85o2MjMR7772HkSNHIj09Hdu3b8fnn3+OqKgoAEB2djZOnTqFfv36ISYmBgDw3HPPYejQocjKysLYsWMRHx+Pe+65p8Pl/PTTTzF8+HBMmzYNAwcOxNNPP+35b2d6ejp2796NEydOYNSoUbjxxhvx3HPPee575o/FixcjLy8PN954I55//nm88cYbyMrK6nA5m7hcLsyZMwfXX389JkyYgAEDBmDNmjWd3h4RERFRoLC/SEShRBIdncROREREREREREREHLFGRERERERERETUGQysERF1ob1793o9Vv3KFxEREREREfUenApKRNSF6uvrUVxc3Orya6+9tgdLQ0RERERERN2JgTUiIiIiIiIiIqJO4FRQIiIiIiIiIiKiTmBgjYiIiIiIiIiIqBMYWCMiIiIiIiIiIuoEBtaIiIiIiIiIiIg6gYE1IiIiIiIiIiKiTmBgjYiIiIiIiIiIqBMYWCMiIiIiIiIiIuqE/wPdQyMlj7K1BAAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Graph of count of trips and distance based on gas_type\n", + "# Bin distance into 5 bins: 0-25, 25-50, 50-75, 75-100, 100+\n", + "plt.figure(figsize=(15,10))\n", + "\n", + "ax1=plt.subplot(2,2,1)\n", + "dataset_2['distance_bins'] = pd.cut(dataset_2['distance'], bins=[0, 25, 50, 75, 100, np.inf], labels=['0-25', '25-50', '50-75', '75-100', '100+'])\n", + "sns.countplot(data=dataset_2, x='distance_bins', hue='gas_type', palette='hls', ax=ax1)\n", + "plt.title('Count of Trips based on Distance and Gas Type')\n", + "\n", + "ax2=plt.subplot(2,2,2)\n", + "sns.scatterplot(data=dataset_2, x='distance', y='litter_per_km', hue='gas_type', palette='hls', ax=ax2)\n", + "plt.title('Distance and Litter_per_km based on Gas Type')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### We see that in the amount of trip, the closer trip (0-25,25-50) are more leaning toward SP98. We can also see that the fuel consumption rate are way higher with the lower distance and the rate become way lower and also more stable " + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Litter per km and Speed based on Gas Type')" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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wYRmfK6W69fhVVVWd3ub9Jd7Xa9h///05+eST+c53vgPAHXfckZE56gv19fU8/fTTXHfddVx11VX+7YlEgtra2h49pvd+VVVVMWrUKP92y7I6/ILsjunTp3PEEUfw5JNPUlNTQ3l5uX9fZ8+V/r0D+Ne//rXJjIh33dVXX823vvWtrNfsuOOOgPs6N/Vzk4v260z/eu+2J598kubmZubMmZOx9g8++KDD4+222248+uijaK1ZtGgRs2fP5oYbbiAWi3HVVVcxbNgwlFK89tprfoCbzrst/XuY7fWlb7LIZujQoViWxbp16zKCJa01VVVVfrZmcx1++OHcddddPPXUU1x++eX+7eXl5f7PR2FhYcYcpYceeogJEybw2GOPZfwZzTZr6fjjj+f4448nkUgwf/58br75Zs444wzGjx/P/vvv3+N1n3HGGVx55ZX85S9/Ydq0aVRVVXHRRRdlvba3frbFliOBkths7TMQ7e/LdvsxxxzDTTfdxNChQ5kwYUKvr+mTTz7hww8/zEjRP/LIIxQWFvr/RdrXawA499xzyc/P54wzzqC5uZkHHniAQCDQJ88FbjCnte7wS/Oee+7Btu0ePaY3TO/hhx9mr7328m//5z//iWVZXX59dXU1ZWVlHYJE27b54osvyMvL6zB/q7Pn8tYyc+ZMgsEgX331FSeeeGKnz73jjjuy/fbb8+GHH3LTTTdtcp0HH3wwTz31FNXV1X75zbZtHnvssS5fY/u1/+hHP/I/f+SRR4C299H7ZZ7+PdJac/fdd3f6mEopdt99d2677TZmz57tl4+POeYYfvOb37BmzRpOOeWUTr9+2rRpRKNRHn744Yz3680332TFihVdBkqHHnoot9xyCw899BCXXnqpf/u///1vmpubOy0rd9c3v/lNdt55Z2666SaOOeYYdtpppy6/RilFOBzOCJKqqqqy7nrzRCIRDjroIEpKSnjuuedYuHDhZgVK0WiUCy64gD//+c+8+eab7LHHHhxwwAFZr+2tn22x5UigJDp46aWXsk4h/sY3vpH1+t122w1w+wjOPfdcQqEQO+64I4WFhf5/ET/22GNMnDiRaDTKbrvtxiWXXMK///1vpk+fzqWXXsqUKVNwHIeVK1fy/PPP85Of/IT99tuvx69h5MiRHHfccVx//fWMGDGChx56iBdeeIHf/va35OXlAfT5GjwnnXQSeXl5nHTSSbS2tvKPf/zDL6P1tqKiIqZPn87vfvc7hg0bxvjx45k3bx733ntvh2AkV5MnT+ass87ij3/8I6FQiMMOO4yPP/6Y3//+9zkN2nvwwQf529/+xhlnnME+++xDcXExq1ev5p577uGTTz7h2muv7fB+zJkzh2AwyOGHH84nn3zCL37xC3bffXc/GBg/fjw33HADP//5z1m6dClHHnkkQ4YMobq6mgULFpCfn88vf/lLAP72t79x1FFHMXPmTGbNmsWoUaOora1lyZIlvP/++/727WuuuYannnqKQw45hGuvvZa8vDz+8pe/dBgVsSnhcJg//OEPNDU1sc8++/Dmm2/y61//mqOOOooDDzwQcLMm4XCY008/nZ/+9KfE43HuuOMONm7cmPFYTz/9NH/961854YQTmDhxIlpr5syZQ11dHYcffjgABxxwABdccAHnnXce7777LtOnTyc/P5/Kykpef/11dtttN77//e8zZMgQLr/8cn7961/z3e9+l5NPPplVq1Zx/fXX51R6O/zww5k5cyZXXnklDQ0NHHDAASxatIjrrruOqVOncvbZZ+f8Hm1KIBDgySefZObMmey7776cf/75zJgxgyFDhlBXV8fbb7/Nhx9+mDE64JhjjmHOnDn84Ac/4KSTTmLVqlX86le/YsSIEXzxxRf+dddeey2rV6/m0EMPZfTo0dTV1fm9TwcddNBmr/0HP/gBt9xyC++99x733HNPp9f15s+22EL6r49cDDTeLqjOPpYtW5Z115vWWl999dV65MiR2jAMDeiXX35Za6318uXL9RFHHKELCwv9rbGepqYmfc011+gdd9xRh8NhXVxcrHfbbTd96aWXZuw8AvRFF12U8+vwdpz961//0rvssosOh8N6/Pjx+tZbb+1wbV+vId3LL7+sCwoK9JFHHqlbWlqy7qDxrgP0448/nnF7LrsStdZ69erV+sQTT9RDhgzRhYWF+sgjj9Qff/yxHjduXMYOtc4ez3t+73uotdaJREL/5Cc/0eXl5Toajepp06bpt956q8NjZrN48WL9k5/8RO+99966rKxMB4NBPWTIEH3QQQfpBx98MONab2fQe++9p4899lhdUFCgCwsL9emnn66rq6s7PPaTTz6pDz74YF1UVKQjkYgeN26cPumkkzrsMPzwww/1KaecosvLy3UoFNIVFRX6kEMO0XfeeWfGdW+88YaeNm2ajkQiuqKiQl9xxRX6rrvuynnXW35+vl60aJGeMWOGjsViurS0VH//+9/XTU1NGdf+97//1bvvvruORqN61KhR+oorrtDPPvtsxvv+6aef6tNPP11PmjRJx2IxXVxcrPfdd189e/bsDs9933336f3220/n5+frWCymJ02apM855xz97rvv+tc4jqNvvvlmPWbMGB0Oh/WUKVP0f//7X33QQQd1uetNa3fn2pVXXqnHjRunQ6GQHjFihP7+97+vN27cmHFdtp99rXXOz6O11vX19fqmm27S++yzjy4qKtLBYFCXl5frww8/XP/lL3/xd656fvOb3+jx48frSCSiJ0+erO+++27/Z8nz9NNP66OOOkqPGjVKh8NhXV5err/xjW/o1157Lac1aZ1911u6GTNm6NLSUt3S0tLhvr762RZ9T2mt9RaMy4Toc+PHj2fXXXfl6aef7u+liG66/vrr+eUvf8m6des69IgJMZDV1NQwbtw4Lr74Ym655ZYO98vP9uAlpTchhBCih1avXs3SpUv53e9+h2EYWXdxisFNxgMIIYQQPXTPPfcwY8YMPvnkEx5++OGMHW1i6yClNyGEEEKITkhGSQghhBCiExIoCSGEEEJ0QgIlIYQQQohODOpdb47jsHbtWgoLC7t9vIQQQgghtl1aaxobGxk5cuQmj5ca1IHS2rVrGTNmTH8vQwghhBCD1KpVqxg9enSn9w/qQKmwsBBwX2QuRykIIYQQQgA0NDQwZswYP5bozKAOlLxyW1FRkQRKQgghhOi2rlp3pJlbCCGEEKITEigJIYQQQnRCAiUhhBBCiE4M6h4lIYQQYmujtcayLGzb7u+lDGqBQIBgMLjZ44MkUBJCCCEGiGQySWVlJS0tLf29lK1CXl4eI0aMIBwO9/gxJFASQgghBgDHcVi2bBmBQICRI0cSDodlmHIPaa1JJpOsW7eOZcuWsf32229yqOSmSKAkhBBCDADJZBLHcRgzZgx5eXn9vZxBLxaLEQqFWLFiBclkkmg02qPHkWZuIYQQYgDpaeZDdNQb76V8N4QQQgghOiGBkhBCCCFEJyRQEkIIIYTohARKQgghhOi25cuXo5Tigw8+6O+l9Kl+DZTGjx+PUqrDx0UXXdSfyxq0bK1Z3pog6Tj9vRQhhBBiq9CvgdI777xDZWWl//HCCy8AcPLJJ/fnsgYtR7vBkqX7eyVCCCG2lMbGRs4880zy8/MZMWIEt912GzNmzOCSSy4B4KGHHmLvvfemsLCQiooKzjjjDGpqavyv37hxI2eeeSZlZWXEYjG233577r///i6fd8KECQBMnToVpRQzZszg1VdfJRQKUVVVlXHtT37yE6ZPnw7A7NmzKSkp4cknn2SHHXYgGo1y+OGHs2rVqoyv+e9//8tee+1FNBpl4sSJ/PKXv8SyrM15q3qkXwOlsrIyKioq/I+nn36aSZMmcdBBB2W9PpFI0NDQkPEhMum0/xdCCLH1u+yyy3jjjTd46qmneOGFF3jttdd4//33/fuTySS/+tWv+PDDD3nyySdZtmwZs2bN8u//xS9+weLFi3n22WdZsmQJd9xxB8OGDevyeRcsWADA//73PyorK5kzZw7Tp09n4sSJPPjgg/51lmXx0EMPcd555/m3tbS0cOONN/LAAw/wxhtv0NDQwGmnnebf/9xzz3HWWWfxox/9iMWLF/O3v/2N2bNnc+ONN27OW9UzeoBIJBJ66NCh+sYbb+z0muuuu07jRgEZH/X19VtwpQNX0nb0F82tusmy+nspQgghuqm1tVUvXrxYt7a25vw1DQ0NOhQK6ccff9y/ra6uTufl5ekf//jHWb9mwYIFGtCNjY1aa62PPfZYfd5553V7vcuWLdOAXrhwYcbtv/3tb/XkyZP9z5988kldUFCgm5qatNZa33///RrQ8+fP969ZsmSJBvTbb7+ttdb661//ur7pppsyHvfBBx/UI0aM6NYaN/We1tfX5xRDDJhm7ieffJK6urqMKLe9q6++mvr6ev+jfZpOuCSfJIQQ24alS5dimib77ruvf1txcTE77rij//nChQs5/vjjGTduHIWFhcyYMQOAlStXAvD973+fRx99lD322IOf/vSnvPnmm5u1plmzZvHll18yf/58AO677z5OOeUU8vPz/WuCwSB77723//lOO+1ESUkJS5YsAeC9997jhhtuoKCgwP84//zz++UcvAFzhMm9997LUUcdxciRIzu9JhKJEIlEtuCqBh/t/58QQoitndbuX/jtz4Tzbm9ubuaII47giCOO4KGHHqKsrIyVK1cyc+ZMkskkAEcddRQrVqzg//7v//jf//7HoYceykUXXcTvf//7Hq2pvLycY489lvvvv5+JEyfyzDPP8Morr3S4Lts5dt5tjuPwy1/+km9961sdrunpUSQ9NSACpRUrVvC///2POXPm9PdSBj8tcZIQQmwrJk2aRCgUYsGCBYwZMwaAhoYGvvjiCw466CA+/fRT1q9fz29+8xv//nfffbfD45SVlTFr1ixmzZrF17/+da644oouA6VwOAyAbdsd7vvud7/LaaedxujRo5k0aRIHHHBAxv2WZfHuu+/6mbDPPvuMuro6dtppJwD23HNPPvvsM7bbbrtuviO9b0AESvfffz/l5eUcffTR/b2UQc9r3BJCCLH1Kyws5Nxzz+WKK66gtLSU8vJyrrvuOgzDQCnF2LFjCYfD/L//9//43ve+x8cff8yvfvWrjMe49tpr2Wuvvdhll11IJBI8/fTTTJ48ucvnLi8vJxaLMXfuXEaPHk00GqW4uBiAmTNnUlxczK9//WtuuOGGDl8bCoW4+OKLuf322wmFQvzwhz9k2rRpfuB07bXXcswxxzBmzBhOPvlkDMNg0aJFfPTRR/z617/uhXcud/3eo+Q4Dvfffz/nnnsuweCAiNsGNS1hkhBCbFNuvfVW9t9/f4455hgOO+wwDjjgACZPnkw0GqWsrIzZs2fz+OOPs/POO/Ob3/ymQ6YoHA5z9dVXM2XKFKZPn04gEODRRx/t8nmDwSC33347f/vb3xg5ciTHH3+8f59hGMyaNQvbtjnnnHM6fG1eXh5XXnklZ5xxBvvvvz+xWCzjOWfOnMnTTz/NCy+8wD777MO0adO49dZbGTdu3Ga8Uz2jtFfI7CfPP/88M2fO5LPPPmOHHXbo1tc2NDRQXFxMfX09RUVFfbTCwcN0NEtb41REQhRL0CmEEINKPB5n2bJlTJgwYbP6cJqbmxk1ahR/+MMf+M53vtOLK+ye888/n+rqap566qmM22fPns0ll1xCXV1dn69hU+9prjFEv/82PeKII+jnWG2rIqU3IYTYtixcuJBPP/2Ufffdl/r6er/UlZ7h2ZLq6+t55513ePjhh/nPf/7TL2voTf1eehO9TCIlIYTY5vz+979n991357DDDqO5uZnXXnstp6GRm3LTTTdlbM9P/zjqqKM6/brjjz+e4447jgsvvJDDDz98s9YwEPR76W1zSOktk+lovmyJMzwSojTU78lCIYQQ3dBbpbfeUltbS21tbdb7YrEYo0aN2sIr6r6tovQmetegjXqFEEIMKKWlpZSWlvb3MvqdlN62OrLvTQghhOgtEihtZTRIc7wQQgjRSyRQ2spIiCSEEEL0HgmUtkISLAkhhBC9QwKlrZAESkIIIUTvkEBpKyNBkhBCCNF7JFDaCkmwJIQQYkuaNWsWSqkOH0ceeSQAd911FzNmzKCoqAilVNbjSzZu3MjZZ59NcXExxcXFnH322VvkmJOuSKC0ldFoZNObEEKILe3II4+ksrIy4+Mf//gHAC0tLRx55JH87Gc/6/TrzzjjDD744APmzp3L3Llz+eCDDzj77LO31PI7JQMntzIyHkAIIbYOWmt0MtEvz63CEZRS3fqaSCRCRUVF1vsuueQSAF555ZWs9y9ZsoS5c+cyf/589ttvPwDuvvtu9t9/fz777DN23HHHbq2lN0mgtBVypPgmhBCDnk4mWHrhrH557ol/m42KbLljVN566y2Ki4v9IAlg2rRpFBcX8+abb/ZroCSlNyGEEEJstqeffrrD4bm/+tWvcvraqqoqysvLO9xeXl5OVVVVby+1WySjtBVy+nsBQgghNpsKR5j4t9n99tzddfDBB3PHHXdk3Nads+Kylfq01t0uAfY2CZS2QhIoCSHE4KeU2qLlr82Vn5/Pdttt16OvraiooLq6usPt69atY/jw4Zu7tM0ipbetkbQoCSGEGET2339/6uvrWbBggX/b22+/TX19PV/72tf6cWWSUdoqORIoCSGE2MISiUSHfqJgMMiwYcOoqqqiqqqKL7/8EoCPPvqIwsJCxo4dS2lpKZMnT+bII4/k/PPP529/+xsAF1xwAcccc0y/NnKDZJS2SlpSSkIIIbawuXPnMmLEiIyPAw88EIA777yTqVOncv755wMwffp0pk6dylNPPeV//cMPP8xuu+3GEUccwRFHHMGUKVN48MEH++W1pFN6EA/daWhooLi4mPr6eoqKivp7Of3OdDSLW1ooMAJMyhs8dW0hhBAQj8dZtmwZEyZMIBqVv8N7w6be01xjCCm9bULzhwux1q8jtusUwsOzD9EaiGSOkhBCCNE7pPS2CXVzn2bdg/eRWLa0v5fSLRImCSGEEL1DAqVNMFJpOife2s8r6Z7BW0wVQgghBhYJlDbBm1+hE/F+Xkn3yBwlIYQQondIoLQJRjQGgBMfXIGSpJSEEEKI3iGB0iYYUXeEuyMZJSGEEGKbJIHSJnilt8GWUdK45+MIIYQQYvNIoLQJXjO3HmSBEsjONyGEEKI3SKC0CX6P0iArvQkhhBCid0igtAnGYC699fcihBBCiK2ABEqboKKDM1ACCZSEEEJsOTU1NVx44YWMHTuWSCRCRUUFM2fO5K233gJg/PjxKKVQSpGXl8euu+7qH37r+ctf/sLkyZOJxWLsuOOO/P3vf+/wPH/84x/ZcccdicVijBkzhksvvZR4H/+OliNMNsHb9TbY5ihptDshQPX3SoQQQmwLTjzxREzT5IEHHmDixIlUV1fz4osvUltb619zww03cP7559PU1MTs2bP53ve+R0lJCaeeeip33HEHV199NXfffTf77LMPCxYs4Pzzz2fIkCEce+yxgHto7lVXXcV9993H1772NT7//HNmzZoFwG233dZnr00CpU0YrHOU3NKbREpCCDGYaa1J9NMO5kgq+5OLuro6Xn/9dV555RUOOuggAMaNG8e+++6bcV1hYSEVFe65qb/+9a/55z//yZNPPsmpp57Kgw8+yIUXXsipp54KwMSJE5k/fz6//e1v/UDprbfe4oADDuCMM84A3CzV6aefzoIFC3rlNXdGAqVNGKw9SlJ3E0KIwS+hNbMW989Zo7N3nkg0x0CpoKCAgoICnnzySaZNm0YkEsnp66LRKKZpApBIJIim2l08sViMBQsWYJomoVCIAw88kIceeogFCxaw7777snTpUp555hnOPffc7r24bur3HqU1a9Zw1llnMXToUPLy8thjjz147733+ntZQFuP0mAbDyDN3EIIIbaUYDDI7NmzeeCBBygpKeGAAw7gZz/7GYsWLcp6vWVZzJ49m48++ohDDz0UgJkzZ3LPPffw3nvvobXm3Xff5b777sM0TdavXw/Aaaedxq9+9SsOPPBAQqEQkyZN4uCDD+aqq67q29fXp4/ehY0bN3LAAQdw8MEH8+yzz1JeXs5XX31FSUlJfy7L589Rsky0ZaGCgycBJ4GSEEIMbhGlmL3zxH577u448cQTOfroo3nttdd46623mDt3Lrfccgv33HOP30d05ZVXcs0115BIJAiHw1xxxRVceOGFAPziF7+gqqqKadOmobVm+PDhzJo1i1tuuYVAIADAK6+8wo033shf//pX9ttvP7788kt+/OMfM2LECH7xi1/06utPp3Q/jnC+6qqreOONN3jttdd69PUNDQ0UFxdTX19PUVFRL68OtGXx1XfPAmDCX+4lkJ/f68/Rm0xHs7ilBUfD5LwY0UC/JwyFEELkKB6Ps2zZMiZMmNChDDUYffe73+WFF15gxYoVjB8/nrPOOotZs2aRl5fHiBEjsvZAmaZJdXU1I0aM4K677uLKK6+krq4OwzD4+te/zrRp0/jd737nX//QQw9xwQUX0NTUhGF0/J23qfc01xiiX3+TPvXUU+y9996cfPLJlJeXM3XqVO6+++5Or08kEjQ0NGR89CUVDEIqi+TEW/v0uXqT1loySkIIIfrVzjvvTHNzs//5sGHD2G677Rg5cmSnjeKhUIjRo0cTCAR49NFHOeaYY/wAqKWlpUMwFAgE3N95fZjz6ddAaenSpdxxxx1sv/32PPfcc3zve9/jRz/6UdbZCQA333wzxcXF/seYMWP6fI1eQ7dOJPr8uXqTBEpCCCG2hA0bNnDIIYfw0EMPsWjRIpYtW8bjjz/OLbfcwvHHH5/TY3z++ec89NBDfPHFFyxYsIDTTjuNjz/+mJtuusm/5thjj+WOO+7g0UcfZdmyZbzwwgv84he/4LjjjvPLc32hX5tuHMdh77339t+IqVOn8sknn3DHHXdwzjnndLj+6quv5rLLLvM/b2ho6PNgyYhGcZqbBtXON532/0IIIURfKigoYL/99uO2227jq6++wjRNxowZw/nnn8/PfvaznB7Dtm3+8Ic/8NlnnxEKhTj44IN58803GT9+vH/NNddcg1KKa665hjVr1lBWVsaxxx7LjTfe2EevzNWvgdKIESPYeeedM26bPHky//73v7NeH4lEct522Fu8hu7BdN6b7HoTQgixpUQiEW6++WZuvvnmTq9Zvnz5Jh9j8uTJLFy4cJPXBINBrrvuOq677rqeLLPH+rX0dsABB/DZZ59l3Pb5558zbty4flpRR8orvQ2iHiWQQEkIIYToDf0aKF166aXMnz+fm266iS+//JJHHnmEu+66i4suuqg/l5XBGKznvUmkJIQQQmy2fg2U9tlnH5544gn+8Y9/sOuuu/KrX/2KP/7xj5x55pn9uawM/jEmg6n0piVOEkIIIXpDv09QPOaYYzjmmGP6exmdMlI9UU5cdr0JIYQQ2xqZSNiFtmNMBk+PUtuhuF2zHE2L7fTtgoQQQuSsH+dAb3V6472UQKkLfultEPUodWfXW6NtU5NM9uVyhBBC5CAUCgHuYEXRO7z30ntve6LfS28D3WAcDwDkHClpwJb/eBFCiH4XCAQoKSmhpqYGgLy8vE4nWItN01rT0tJCTU0NJSUlmzWQUgKlLnjjAbbWjJKjNY4ESkIIMSBUVFQA+MGS2DwlJSX+e9pTEih1wYi6zdx6EAVKdHPXmy2t30IIMSAopRgxYgTl5eWYptnfyxnUQqFQrxxtIoFSFwbleIBuBD4ad5yAozWGpHiFEGJACAQCfXp+mcidNHN3wRiEpTfIPaOkAUcySkIIIURWEih1oW08wOAJlNwsUW7Bj9fPJAMChBBCiI4kUOqCn1EaVKW3blyr3YySjO0QQgghOpJAqQuD9ay33He9OakjTyRSEkIIIdqTQKkLg3GOUnfGA2i6d70QQgixLZFAqQveHCUsC21Z/buYPuAHShIpCSGEEB1IoNQFL6MEg6n8lnshzcZt/JZmbiGEEKIjCZS6oAIBVOqMmEFVfss1ReQPp5SUkhBCCNGeBEo5GGwjAhTuAMlcOFrGAwghhBCdkUApB21DJ1v7eSW5y72ZO5VPkoSSEEII0YEESjkYbMeYKFQ3epR0ajyAEEIIIdqTQCkH3sG4TjzRzyvJXfeOMJE5SkIIIUQ2EijlwBsRoAdJ6U2p3HuOvJKblN6EEEKIjiRQysGgnM6dY+DjaKT0JoQQQnRCAqUcDL4eJTcAyoX2/yeEEEKI9iRQykHbrrfBEShBbj1H3qBJTe7jBIQQQohtiQRKOVCpZu5BNUcph+t02j8lTBJCCCE6kkApB35GaRCV3nLKKKX9UwIlIYQQoiMJlHLg9ygNkowS5LaLrS1Akh4lIYQQIhsJlHLgH2EyWDJKKseBkzp9MreESkIIIUR7EijlYDA2c+fSo+SkwiQF2BIoCSGEEB1IoJSDtsncgyNQUuSeIdIaDKXkUFwhhBAiCwmUcjAY5yjlEiZ51+S6S04IIYTY1kiglAO/R2mQHGECqUbtLrJK3t0GcoSJEEIIkY0ESjlo61EaHIfiqtQ/u4p9vEGThlIycFIIIYTIQgKlHPhnvSXig2N3WCpSyiVQ8i63ZUCAEEII0YEESjnwAiVsGyyrfxeTA69HqetAyd31Zqjcz4YTQgghtiUSKOVApUpvAM6g6FPKLaXkBVMK2fUmhBBCZNOvgdL111+PUirjo6Kioj+XlJUyDFQ4DAyOEQHeESZdJokymrklpSSEEEK0F+zvBeyyyy7873//8z8PBAL9uJrOGdEYdjKJkxgcDd3an7qtOr3GSV1nGN6/a5Tq/HohhBBiW9PvgVIwGByQWaT2VMQdOqkHTUapO9ertDKcEEIIITz93qP0xRdfMHLkSCZMmMBpp53G0qVLO702kUjQ0NCQ8bGl+DvfBkWPkivXZm4vsJI+JSGEECJTvwZK++23H3//+9957rnnuPvuu6mqquJrX/saGzZsyHr9zTffTHFxsf8xZsyYLbZWf5bSIJjOnfMcJQ1KuR8aLUMnhRBCiHb6NVA66qijOPHEE9ltt9047LDD+L//+z8AHnjggazXX3311dTX1/sfq1at2mJr9Y8xGQSlN1QqSMph15v/735PkxBCCCE8/d6jlC4/P5/ddtuNL774Iuv9kUiESKpXaEtTqYNx9SDJKGndddjjBVO5zl0SQgghtjX93qOULpFIsGTJEkaMGNHfS+mg7RiTwRAoucW33CZz67brJVISQgghMvRroHT55Zczb948li1bxttvv81JJ51EQ0MD5557bn8uK6vBVHpr2/XW1aG4OjW/yj3zTeIkIYQQIlO/lt5Wr17N6aefzvr16ykrK2PatGnMnz+fcePG9eeyslLRwdPMDbnvYnNIL71JqCSEEEKk69dA6dFHH+3Pp+8Wr/SmWwd+oOTPQuoi7nEApWU8gBBCCNGZAdWjNJAZqWbuQZFRyu2ot44koSSEEEJkkEApR4OuR0nn3sxtKIXWklESQggh2pNAKUdej9JgGA+QK+1NnPQ+l5SSEEIIkUECpRwNpvEAkFtztqN1Wz+TkvEAQgghRHsSKOWo7ay3wREoKZVr6a3tE4mThBBCiEwSKOXIGGTjAYDcdr2lXSyBkhBCCJFJAqUcKW88wCDJKOWSIcoMlBSO1N6EEEKIDBIo5ait9NbqNkEPAl2uUtM2SkBt8kohhBBimySBUo68Zm60Rptm/y4mJ10Hc3ZaM7eS8QBCCCFEBxIo5UhFIv6/D47ym8qpmVtldCkJIYQQIp0ESjlShuEHS068tZ9XkwNFlyVCJz00kvEAQgghRAcSKHWDP0tpEOx8yyXm0bqtmVsBtpbimxBCCJFOAqVuMGKD6BiTHHqO0ne9eQfjCiGEEKKNBErd4I8IGAQZpVzotF1vAHa/rUQIIYQYmCRQ6gYjmupRah34gZImlzlKabvepEdJCCGE6EACpW4YTD1KXQU+jtbpY5RQMnBSCCGE6EACpW4wooOnR8nVdeDjjQdQgC1dSkIIIUSGYE+/cMGCBbzyyivU1NTgOJltw7feeutmL2wgUtHB06OkYJMZIq80l9HMLXGSEEIIkaFHgdJNN93ENddcw4477sjw4cNRKu3EMLX1noXhl94GSUZpU3GPd196oCTDAYQQQohMPQqU/vSnP3Hfffcxa9asXl7OwOY3cw+CQKmr7f5ag0b7ga1Sm85ACSGEENuiHvUoGYbBAQcc0NtrGfBUqkdpMJTeYNMZIo3OKLV5GaXBcuCvEEIIsSX0KFC69NJL+ctf/tLbaxnwBlPpLZeeo/a73rzbhBBCCOHqUent8ssv5+ijj2bSpEnsvPPOhEKhjPvnzJnTK4sbaIzo4AmUUJsOehz/srZdb07qQ7ZCCiGEEK4eBUoXX3wxL7/8MgcffDBDhw7dqhu40w2qOUp00XOk2wVS3iG67aZ1CyGEENuyHgVKf//73/n3v//N0Ucf3dvrGdD88QCDIaPURbSjcQMjL8b1SnWOREpCCCGEr0dVltLSUiZNmtTbaxnw2kpvrf28kq51NUBSp+5rfyiu9CgJIYQQbXoUKF1//fVcd911tLS09PZ6BrS20luin1eSm67mKKXvipNmbiGEEKKjHpXebr/9dr766iuGDx/O+PHjOzRzv//++72yuIHGiA2eZu6udr11GDiZmqMk0wGEEEKINj0KlE444YReXsbgoCJtR5i4/T0Du5enq4GTkFl6c79GIiUhhBDC06NA6brrruv0vq15YKHXo4TW6GTCD5wGIqW6zihpnXnkjIOU3oQQQoh0PepRuvnmm7Pebts2Z5xxxmYtaCBT4QjeNrGBXn5zm7M3Hfak3+tnlCRSEkIIIXw9CpT++Mc/ctddd2XcZts2p512Gh988EFvrGtAUkpllN8GMn8XWyeRj9MuiDKUSo0HEEIIIYSnR6W3Z555hsMOO4ySkhJOOeUUTNPk1FNP5dNPP+Xll1/u7TUOKEY0ih1vxYkP9J1vyt/un7WTSvvJsfSbpEdJCCGESNOjQGmvvfbiiSee4PjjjycSiXDvvffy1Vdf8fLLLzN8+PDeXuOAYkQi2Az8WUpeRqkzmo4XqC6OPRFCCCG2NT0+1mvGjBk8+OCDnHTSSSxfvpx58+ZtVpB08803o5Tikksu6fFjbAkD4bw3u7mZxKoVXV63qQGSWW/X0qMkhBBCpMs5o/Stb30r6+1lZWWUlJRwwQUX+Ld191Dcd955h7vuuospU6Z06+v6g4rGgP7tUaq+83ZaPvqQMb+6hciYsVmvadvun113bxdCCCG2RTkHSsXFxVlvnzlz5mYtoKmpiTPPPJO7776bX//615v1WFuCP527nzJKWmviX34OgLW+pkOg5OhU81EXh9xqrbPf3gdrFkIIIQarnAOl+++/v9sP/sYbb7D33nsTiUQ6veaiiy7i6KOP5rDDDusyUEokEiTSjg9paGjo9po2lxF1X0t/BUp23UacVrc/ykkkM+5b1NTCbauqOHpoCXsU5nVZemt/n1ad75ITQgghtkU97lHKxVFHHcWaNWs6vf/RRx/l/fff73QuU3s333wzxcXF/seYMWN6a6k5M1KlN6efSm/Jyrb3Uyczd96939iMpWGFtyNPd76LTQNGu7sMGQ8ghBBCZOjTQGlT2YlVq1bx4x//mIceeohoNLcJ11dffTX19fX+x6pVq3prqTnz5yj1U0YpuXat/+9OMjOjVJkwATC17nLXG3QMiiRIEkIIITL1aDxAb3jvvfeoqalhr7328m+zbZtXX32VP//5zyQSCQKBQMbXRCKRTZbxtoT+3vVmZmSU2gVKqc/NtAC1s2DJ0d6kpTbuwbi9s04hhBBia9BvgdKhhx7KRx99lHHbeeedx0477cSVV17ZIUgaKPxm7n4rvbVllLTZFii12g4bLRsAy9GoLg8x6ThxUgGOlrySEEII4em3QKmwsJBdd90147b8/HyGDh3a4faBREX7u/TWllFy0hrb16Zll7yMknfwbTZOqjzX4fbeWKQQQgixlejTHiXV/oyMrYBfeuuHjJLT2oJdt9H/PL30tjbVnwSpHqXUDrZOS29ZblOd3C6EEEJsq7qdUdJas3LlSsrLy4nFYl1e2x2vvPJKd5ezxbXNUdryR5ikl92gfaCUmVFqC1E73/XWPox1g6vNXqYQQgix1eh2Rklrzfbbb8/q1au7vLaxsZGJEyf2aGEDlfKbubf8objtAyUnbTxARqDkpJXeOnkshyyBEmBLpCSEEEL4uh0oGYbB9ttvz4YNG/piPQOeV3rrjyNM/P6koJsITG/mziy9tR2K2+nAySwpJYWS0psQQgiRpkc9SrfccgtXXHEFH3/8cW+vZ8Drz/EAZiqj5B1bolNZJEdrqpKZPUq+TTZzZ9n1JoeYCCGEEL4e7Xo766yzaGlpYffddyccDnfoVaqtre2VxQ1E/dqjlMooRcZNILFsqV96W2daGcGRpbXbyK03fYRJttKbzFESQggh2vQoUPrjH//Yy8sYPPzxAIkE2nFQRp9uHPRpy8JcVw24gRK0ld68/qSyUJB1pgWA7X1dJ4+XNXMkZ70JIYQQGXoUKJ177rm9vY5BwzvrDdxdZyrH41c2l1lTDbaNikYJDR/uPn8iM1AaF434gZK1idEA4E3mzmTgBlha661ytIMQQgjRXT1Oh3z11Vdcc801nH766dTU1AAwd+5cPvnkk15b3ECkQiF/ovWWLL95h+GGR4zECKfKf6mM0ppUI/eoSBhvnnnSHzrZjfEAqVskpySEEEK4ehQozZs3j9122423336bOXPm0NTUBMCiRYu47rrrenWBA41Sql8aur3+pPCIUahwGHDLfwCVqYzSiEiIkOEGO6aTGjrZyeNpnSWlxKZ3ygkhhBDbmh4FSldddRW//vWveeGFFwinfmkDHHzwwbz11lu9triBSqXKb1tyRIC34y00YqQfKDlJr/TmZpRGhsMEU9kuv7k7S9Sjtc4+R0m5GShpUxJCCCFcPQqUPvroI775zW92uL2srGybmK/UtvNtC2aUvNLbyFEYkQjgNnM3WTb1ttu6PSISIqTaMkp0suvNyxplGw+gkREBQgghhKdHgVJJSQmVlZUdbl+4cCGjRo3a7EUNdFu69Ka19qdyh0eMQoVSWTzbZk2r2ydVGgwSNYy2QCntYNzOZBsPINkkIYQQok2PAqUzzjiDK6+8kqqqKpRSOI7DG2+8weWXX84555zT22sccFQqo7OlDsa1N9ai43EIBAiVD/dLbwBrW9w1jIyEAAga6YFS9lZuh+wBlJdhkuncQgghhKtHgdKNN97I2LFjGTVqFE1NTey8885Mnz6dr33ta1xzzTW9vcYBxxsRoLdQRslr5A6VDUcFgxk779akzpwbGXGDJy+jlHTc4lrWuUipm9pPAPCavyWrJIQQQrh6NEcpFArx8MMPc8MNN7Bw4UIcx2Hq1Klsv/32vb2+AckvvW2hjJJfdhvpljWVUqhQGJ1MtDVyexml9NJbJ6OQvD6kYLYeJa07HSkghBBCbGt6FCh5Jk2axMSJEwG2qQGFfjN365YKlFIZpREj/dtUxA2UKi23kXtUu4zSpnqUtNflneVb1llZTgghhNgW9Xjg5L333suuu+5KNBolGo2y6667cs899/Tm2gYsFd2yPUpmu4wSgBEKYxsGNanD2UaE3YxS+q431eWuN/i8Jc7zG+pTh+Sm7pdISQghhAB6mFH6xS9+wW233cbFF1/M/vvvD8Bbb73FpZdeyvLly/n1r3/dq4scaPqrRymcnlEKR6gtLsUGIoaiNBTE1pnN3J01ZXtxkELxzPo6akyLHfOjjItG0FqauYUQQghPjwKlO+64g7vvvpvTTz/dv+24445jypQpXHzxxdtAoLTlepTs5mbs+jqgfaAUZn1+EeAOmjSUwtY6rfTmoDrrNkrLNLU6bljUYjveXUIIIYRI6VGgZNs2e++9d4fb99prLyzL2uxFDXRtAyf7/qw3r+wWKBmCEctrW0M4zPohw4C2Rm5oa+ZOOhqUylpGc/AOvm07Ey6RKuEpJQMnhRBCCE+PepTOOuss7rjjjg6333XXXZx55pmbvaiBTqUySjq1Nb8vpU/kzlhDJMK60jKgbTQAtPUoWV4zd9aGo1SmSevUGAFIOG0FN+lREkIIIVw93vV277338vzzzzNt2jQA5s+fz6pVqzjnnHO47LLL/OtuvfXWzV/lALMlS29+oDSiXaAUCqcFSlkySqnm7GzZIa+Z20orwXkZpc6OPRFCCCG2RT0KlD7++GP23HNPAL766ivAPeetrKyMjz/+2L9uax0Z0B+lt/TRAJDqUSr1Sm9pGSUj7ay3TngZI1O3ZZHi6RmlzVuyEEIIsdXoUaD08ssv53Td6tWrcRwHw+jxFIIBSW3Bs978HW/tSm8tefm0xvJQWvujAQBCqdjU9DNKHXmBUHowlfCiJ9VZuU4IIYTY9vRpBLPzzjuzfPnyvnyKfuGPB0j0bY+SNk3MdTVA5o43gJrCEgBKzSThtEA0t4GTblbJTLvN71GS8QBCCCGEr08Dpa01M2F4h+L2cUYpWVMFjoMRixEoGZJxX02BOxpgeCKz/BdMHzhJ9sZs75CSZHpGyek8sBJCCCG2VVtXTWwL8Zq5dTKBdvou/2KubetPat/vVR3LB6C8pSnj9pCRedZbtlYlDanRAG1r9zJKqpOvEUIIIbZFEij1gEo1cwPoPtz51tmON4CaqDtTqbylMeP29ENxFWQfOek1c6dFROnN3I6W4psQQggBEij1iAqFIBAA+rb81nZ0ScdAqTrslv/KG+oybg+lDZxUqKylNAdAp40EIG3gJFJ+E0IIITx9GihtreMBlFJtIwL6MKPkjwZot+Mt6TisD7g73cobNmbc137g5KambJs6e6Ak+SQhhBDCJc3cPWRE+7ahWzsOyVSg1H7HW3XSRCtFNN5KXlPnpTd09rPe2oZMZulRQnqUhBBCCE+3AyXLsggGgxmDJTuzePFixo0b16OFDXRen5Luo0DJ2liLTiYgECBUVp5x39qEu7F/WO16aDeiwGvm1oBNJ7veUo3eGRklrXFS57/ZW3GAK4QQQnRHtwdOBoNBxo0bh23bXV47ZsyYHi1qMPBmKfVVRsnrTwoNr0AFM79NaxNJAMpq16HNZMZ9wbRyp+VodKDjY3thULJd6sg99kRJ6U0IIYRI6VHp7ZprruHqq6+mtra2t9czaBh9PJ3b3MSOtzVpGSUnkRkoBZTyv6kWOmv5U6f+L9HuvoTT+flwQgghxLaoR0eY3H777Xz55ZeMHDmScePGkZ+fn3H/+++/3yuLG8hUHzdzJ9dm70+CTWeUwC2/JRyNpXWnR5howGw3AyrhOMQMI2u5TgghhNgW9ShQOuGEE3rlye+44w7uuOMO/5iTXXbZhWuvvZajjjqqVx6/L3nN3H3Vo+TPUGq3483WmlWpQGn4+moc2+zwtSGlSOAGSu5xJTpjB6LW7mDJjhklh7yAgSORkhBCCAH0MFC67rrreuXJR48ezW9+8xu22247AB544AGOP/54Fi5cyC677NIrz9FX/B6lPsoo+aMB2mWUqhImptZEFQyp24gOhzt8rX/eW9vxbWQOatCp+zMDorijMXDHA7QProQQQohtUY/HA9TV1XHPPfdk9Cq9//77rFmzJufHOPbYY/nGN77BDjvswA477MCNN95IQUEB8+fP7+mythh/jlK8tYsru89uasJuqAc69iitiLu73MaEghhotJns0IfUfpZSh8dPTe1u38ztjghQfmlOCCGE2Nb1KKO0aNEiDjvsMIqLi1m+fDnnn38+paWlPPHEE6xYsYK///3v3X5M27Z5/PHHaW5uZv/99896TSKRIJG2Hb6hoaEny+8VyjvvLZ7o4sru88puwdKhftO4xwuUxkZSmSSt0aaJSssspZ/3pgHHcai+43Yi48ZTeuw3/QxTUrfvUdL+wEkJlIQQQogeZpQuu+wyZs2axRdffEE07Rf5UUcdxauvvtqtx/roo48oKCggEonwve99jyeeeIKdd94567U333wzxcXF/kd/jh/wd731Qemts7IbwIq42580Li/tvLlORgR4GaXk6lU0v/s2dc8+7V6fus7LKOUb7o9BwnHwqm3SpiSEEEL0MFB65513uPDCCzvcPmrUKKqqqrr1WDvuuCMffPAB8+fP5/vf/z7nnnsuixcvznrt1VdfTX19vf+xatWqniy/V7SV3no/UPLPeBvZcTSAl1Eanx/zz5vTycxAKaTSM0oap9UtDzqtLWitcbSXUXKjoaKg+zhx3TYeQOIkIYQQooelt2g0mrXs9dlnn1FWVtatxwqHw34z9957780777zDn/70J/72t791uDYSiRCJRHqy5F7XNkep93uUOju6pMGy2WjZKGBsJMKaUBhtt+K0n86dllHSgB1vce/QGp1M4GiFUm0ZpcKAQSWpjJJ7WSpUkmZuIYQQ27YeZZSOP/54brjhBkzT3ZqulGLlypVcddVVnHjiiZu1IK11Rh/SQOUfYdInpbfUVO5OGrmHh0NEAwZGqi+pfenN61Gy3IjHzyiB++9eEOT1KBWmMkpuj5L7tTKdWwghhOhhoPT73/+edevWUV5eTmtrKwcddBDbbbcdhYWF3HjjjTk/zs9+9jNee+01li9fzkcffcTPf/5zXnnlFc4888yeLGuLMmJeRql3gzonmcRcVwN0vuNtbNQNkLwGbp3I3qNkOqlm7rTyoNPa6m//t1L1tcKAFyi5PUru7KXefFVCCCHE4NSj0ltRURGvv/46L730Eu+//z6O47Dnnnty2GGHdetxqqurOfvss6msrKS4uJgpU6Ywd+5cDj/88J4sa4sy+mgyt1ldBVpj5OUTKC7OuM9v5E4NuzTC7j+d9hmltB4lyCwPOq2tOMU6Y3RAekYJ3CBK4iQhhBCih4HS3//+d0499VQOOeQQDjnkEP/2ZDLJo48+yjnnnJPT49x77709efoBQfVRj1LSL7uN7DDw0W/kTgVKKuJllLL3KPmBUnrpLd6K1m3DJhWQH3ATi/FUj5I7HkBCJSGEEKJHpbfzzjuP+vr6Drc3NjZy3nnnbfaiBgMvo9TbR5h4owHa73izHM2ahJdRSpXeQqlAqf2uNyOzmVtnKb15QVRYKaL+eADtt29L6U0IIYToYaDU2fEWq1evprhduWhr5R1hok0Tbdu99rj+aIB2O97WJJLY2p15NDTkJgJzKb1prTNLb/FWtNZtgZKhiKQCq8xdb0IIIYToVult6tSpKKVQSnHooYcSDLZ9uW3bLFu2jCOPPLLXFzkQpU/MduJxAvn5vfK4baMBOm/k9oLUtmbuTkpvXjN3eumtpQVN2zDKsGEQUWkZJSVHmAghhBCebgVKJ5xwAgAffPABM2fOpKCgwL8vHA4zfvz4zR4PMFioYNAd+Gjb7oiAXgiUtONgVmWfyr08FSiNi7XNkVKdjQdQmUeYpJfe7HgrmrZhk27pLZVRSo0LUModOimEEEJs67oVKF133XUAjB8/ntNOO23ADH/sL0Y0htPc1GvTua0N691+o2CQUFl5xn3td7xBWuktkb1HqbNdb9DWzO2W3tyMkqXTDtKVOEkIIYToWY/SL3/5S5qamjrcXldXx8SJEzd7UYNFb5/35u14Cw+vQKVmG4HbE7bSyyhF2w6/9TNKyc4ncwPo9j1KZDZzh422frOk47hDKnvlFQkhhBCDW4/GAyxfvhw7SwNzIpFgzZo1m72owaK3znuztKbBstFrvbJbZn/SRsum0XYwgNGRjoFS+2bujIGTuuOuN01bM3fIUASUIqQUptbEvVlKm/WKhBBCiK1DtwKlp556yv/35557LmOHm23bvPjii4wfP77XFjfQqVQZbHNHBNhaU2dZxNauBjruePMauUdGwoSNtiSg0clk7k3OUWrNzCh5jdxRQ2HamoTjEDYMtMwHEEIIIXrWzK2U4txzz824LxQKMX78eP7whz/02uIGOm9EQG+V3qyqSqDjDKX2R5d4VKpHqbOz3pLZ5ijFW0GnSmxp14YNA2yHuKMJK8koCSGEENDNQMlJ/XKdMGEC77zzDsOGDeuTRQ0WvVV685jeDKUOgVLHRm5IK71tYjwAlgWW6d/XMaPkXhtNm6WkAwEJlIQQQgh62KO0bNmy3l7HoNR2jMnmB0q6qRHd1AhAqGJExn1tR5dkZpT80lv7ydxpzdwqkXnEitfYnUx1a3sZpYxZSmgciZSEEEKI3AOl22+/nQsuuIBoNMrtt9++yWt/9KMfbfbCBgP/GJPeKL2lym7BocP8xwU3w1OZcDNCHTNKnZTeUoGSQ8f+qbaMkhsphVMBUiR9lpJS0qMkhBBC0I1A6bbbbuPMM88kGo1y2223dXqdUmrbCZR6MaPkBUrtJ3KviifRQHEgQEko89vVaektbbu/Fc+8T3tHmKTNUQI6nPcmAyeFEEKIbgRK6eU2Kb252gKl1i6u7Jr2JnKPzL7jrX0jN6SV3tpllIzUhwOYqWyXkZeP09KMTibRttU2mdtv5nb/GU+d9yZzlIQQQohuBEqXXXZZTtcppbaZnW/KK731RkapOntGyW/kjnWcgq5Sk9Hb9yip1FykhNbYqfuCQ4aQbGl2L4jHSTptAyehLaOU9DJKklASQgghcg+UFi5cmNN13oGt24K2ydyJLq7MQeWmRwO0708CUKHspTeAoKFI2BorFSgZBYWoUAhtmpBIYKYCIW8uUyQ9o6Tc2U5CCCHEti7nQOnll1/uy3UMSr11hImTTELteiDzMFz36BJvNEDupTdwM0XNgJW6z4hGMWJ52GY9tLaSVBH/OsA/783tUVLSoSSEEELQw7PehMsPlFo3r0fJqqoErTHyCwgUFvm3rzMtWh2HoHKncrenOpnMDWkjAkwrtdaYv14Vb+3Qo5Q+RwnAllBJCCGEkEBpc6heGg9gpQ7DDY4YmVG69MpuoyNh//y2dIY3HsAy0U5m+7W38822UoFSLIYRcyeJqyw9Sl5GKZ7qUZLKmxBCCCGB0mbxjzDZzGZus9I7DLf9jjc3UzQ2S38SgErLMnU2S8lMHV5sRKOo1HpJpGeUUj1Kqi2jpJQ0cwshhBAggdJm6a1mbi9QCnZyGO74zgKlUFqg1MnBuJadVnqL5bnrjSf8wppXevN7lHTbHCUZOimEEGJbJ4HSZvC252/uHCXLzyi12/HW6u1469ifBKAMAxUMuWvo5GBcK1WSSy+9WWnjBMJZznrzmrklTBJCCLGtk0BpM3gZJSwLneoF6i7tOJipqdzppbcW26Em1YidbTSAp62hOzOr5R1N4k3gVmnN3GYqqAoqMJQ3cLJt15vXoCSBkhBCiG2dBEqbIf1Mtp6OCLDWrwPLhGCQwLAy//aVqbJbaTBIQTDQ6derTkYEeKU3bx6SOx7AzSiZqQDMC6agLaOkAQvtZpQkUhJCCLGNk0BpM6hgsK301cOG7uRad8cbwytQRtu3wx80GctedvMYXvmv3XTuYCrw8QZLGrEYRtTtUTJT2a9w2plwIaXwPks62u1R6v7LEUIIIbYqEihtJhXdvGNMkqn+JCqy73jbVNkN2hq6O5beUoFSKvpxm7lTGSXHzrgG3Inq3nTupKPRGgmVhBBCbPMkUNpMfkanh6U3MzVDiYoRGbe3HV2y6YxSV6U3K5UnygiUbLfBOz2jBGnnvaVqbnIwrhBCiG2dBEqbyQs+elx6S2WU1PC2QMnRmlU5ZpS8Y0yc9uMBvNJbKmByS29eRskNgUIq89sfTpulpEG6uYUQQmzzJFDaTN507p4ESlrrth6ltB1vVUmTpNaElaIiHNr083vTuTvLKAXcRvCMZu5UxiiyiYyS1loySkIIIbZ5EihtJmMzepScxkac5iZQCsor/Nu9stuYaNjfvt8Z5WeUMnuU/MncqWbz9NKbF1KF2gVKEX+WUmrXm6SUhBBCbOMkUNpM3oiAnvQoJVP9SYGhw/yAB9oauTubyJ3x/F6PUjJ76S0ZCkMwiAqF2kpvqb6liGofKKUySqnSm4RJQgghtnUSKG0m/xiTHmSUvECpwxlv/kTurgOlzkpv4bSMkk4Fc37pLdWbFDIyv/3R9IySljlKQgghhARKm0n5gVL3jzHx+pOC7Y8uyXHHG4BK9TC1L70FvR6lYBBSmSQ/oxQMApnjASAtoySTuYUQQghAAqXN5pXedA9Kb+Za74y3toxSo2VTa7lzjsbmVHrrJKOUXnpLBXMqEgGl3Nvo2MztfR5Pld4cCZWEEEJs4yRQ2kxtpbdEF1d2lK305mWTykNBYoGuvz1+6a39eIAspTdlGBCJkkz1NYU6ySglHI1SSEpJCCHENq9fA6Wbb76ZffbZh8LCQsrLyznhhBP47LPP+nNJ3eYHSt3MKDmJONaG9QAEMwKl1PykWNfZJEjb9ZbsZNdbKORnlACIxtIySp31KDmgZeCkEEII0a+B0rx587jooouYP38+L7zwApZlccQRR9Dc3Nyfy+oWb46S7maPkllVCYBRWEigsMi/va0/KbdAyehsMncqCLKCQXRaoKRjUT9Qap9R8g7JjTsyHEAIIYQACPbnk8+dOzfj8/vvv5/y8nLee+89pk+f3uH6RCJBIq1puaGhoc/X2JWe7nrzGrnD7Xa8rexGIzekHWHSSenNDgSxojG01iil3NJbKlDqeIRJqq9JO6AUWra9CSGE2MYNqB6l+vp6AEpLS7Pef/PNN1NcXOx/jBkzZksuL6uelt68o0vCaTveLK1Zncjt6BL/+VM9Sk4nk7kBzFh+W3YoGnPLcXQMlLxSXNzRoKVFSQghhBgwgZLWmssuu4wDDzyQXXfdNes1V199NfX19f7HqlWrtvAqO+rpESZeRimUFihVJkwsDTHDoCyUW7LPzygl248HAJXKCJl5eX7Qo6MxEqngKtzurLdIeo8SEigJIYQQ/Vp6S/fDH/6QRYsW8frrr3d6TSQSIRLJLdOypfT0CBOzKpVRGtlWevPKbmOjYbdMloPOSm9KKUKOTTIQxIzE0gKlqH+sScfSW9uuN+lREkIIIQZIRuniiy/mqaee4uWXX2b06NH9vZxu6ckRJtq2SaaaudNLbyu7cXSJ//ydlN4AgrY7jykZjbqlNK3R0bQepQ7jAVI75VIH4jqOhEpCCCG2bf0aKGmt+eEPf8icOXN46aWXmDBhQn8up0e8Y0G6U3oz168Dy0KFwwSHDvNvX+X3J+XWyA3pGaWOc5xCluU+XzTqn93mRKNYnfQohdPGBbjBkgRKQgghtm39Wnq76KKLeOSRR/jPf/5DYWEhVVVVABQXFxNLBSADndejhG2jTROVCkI2xfT6kypGukMgHQetddqOt9wzSqqT8QAAYcsEIBmOoNFoFMlYftv97XqUgkoRVGBpSDpa5igJIYTY5vVrRumOO+6gvr6eGTNmMGLECP/jscce689ldYuR1jOVa/mtbcdb2tEltkOj7aCAMd3IKHnP7yQ7BkqhVPCU9KZ3A4lYHuA2egeztEF5O99Mx0Eqb0IIIbZ1/ZpR2hrm9KhAABUOo5NJnHicQEFhl1/jHV0SHtnWn1SVdLM/IyKhjBJYl8+f6jfCttGpUpvHC5TMUMgtomlIpA7GDVtW1obxqGHQbDskte52oNRiO8Qdh9Icd+wJIYQQA92AaOYe7Lrb0G1mOeOtspvzkzxe6Q06lt+CqZEBZijsH3KbTO3SC1sdM1AAEeUNnex+j1KTbbM+aW4VAbAQQggBEij1CuWNCGjtOlDSWpNc23HYZGUqo9SdRm7A7YlKBTc6rfymHYdwqsHbDIb8oUj+DCXTzPp43s43t0epewGP6TjEtYMlcZIQQoithARKvaA7GSW7vh6npRmUIjS8wr+9KuEFSt3MKCnll98y+pQSCUJeM3cg6O96M71AKdlxlxy09Sglne6X3uKOxnS0ewSKEEIIsRWQQKkXdOe8N68/KVRW7h9om3Qc1pluf1F3AyUAFckynTveSiiVNTINww2UNG0H4nYSKHlDJ5O6e83cWmsSjoOpvYGVQgghxOAngVIv8EtvOWSUsvUnrUmYaKAgYDAkGOj28xshL1BKyyjF435GydJtk7YTQbfROpxIoFMDKdOFjZ71KFkaLDSW1iQlUBJCCLGVkECpF/ilt3hrl9dmOwy37eiSSM5Hl6RT3vb/jNJbW6CU1NovvSUDqWGTZhKyBHbRtB4lDTg5NmZbWmM5moihaMkSgAkhhBCDkQRKvaCt9Ja9nJXOOww3fYaSN5F7bKR7jdyerAfjtraV3iyt0drNKSVTpbWwmYQspcL0HiXI/WBcU2ts7TaDtzpOzgGWEEIIMZBJoNQL/EApp9Kbm1EKjex4xlt3Bk1mPL8fKKXtZEvLKJnpGSXHbbQOm0lo7ZgBi/gH4zr+1+TCSgVGYaUwtSYpgZIQQoitgARKvUDlWHpz4nGs2g1AW+lNa82qVKA0toeBkvKnc6c3c6f1KDn4AydNL6Axk5BlvdF2c5RyjXe8QCmolLvzTfqUhBBCbAUkUOoFXkZJd7HrLVnlZpMCRcUECgoAWG9atDgOAWBkT0tvoSznvcUzS28ADmCmApiQaWYNlMJ+RkmD9lrAu5ZwHAwFhlKA9jNXQgghxGAmgVIvyHWOkn8Yblp/0opUNqksHCLYg0ZuSCu9JdrtejPTS2/a/3eASDKRtUfJa+b2Sm+5hjtxxyHgrV8pEhIo9Zi2LKyNtf29DCGEEEig1CtybebOtuNtaWqa94hwqMfPn62ZW8dbM8YDeAMCvN6hzjJKfjO3drf6WznU3hytSThth+yGlKJFAqUes1uasTZsyDq+QQghxJYlgVIv8OcoddGj5O94G9mWUVrS7H7N+FjPym4AhjcewOw8o4R2B05m9ihl2/WWllHS5NRrZGmNjfYzSiGliDu5BVkiC8vCSSbQVvZjZoQQQmw5Eij1gpxLb96Ot1RGKek4fNnqZoHG92Ait6cto9T5wEn/CJP0QGmTu940jtb+9ZtiaY3tpAVKhsJ0HGno7iFtWTjJJNqy+nspQgixzZNAqRcYsRiw6SNMtG2TrK4EIJwaDfBVawJTa4oDAYaFgj1+/uyBUrbSW1szd9hMZs2AeT1KDoCCFqvrEpql3Q9vpnggdZuc+dYzTjwOlimBkhBCDAASKPUCbzzApo4wMddVg22jwhGCQ0oB+DRVdtshP9qjidwer/TWYTyAV3pLGx7pZ5SS2Sdzh5TCW4mNJu7Y6C6ySqbWKLT/Grx/SkapZ5xkAm07EigJIcQAIIFSLzBSZTOntfNAKbnWa+QeiUqVtxanAqUd86Kb9fwq1Qje2REmfkYprZTWWenNUMo/783RblN3V+U3M0tAFFDQKg3d3aYdB20m3UZuWwIlIYTobxIo9YL0HqXOsi/tD8O1tObzVGC1U15ss54/61lvaaU3G7BTQUvmHKXsgV1UGf4ac5myndBOan5Sm5BStNhOl9kokUlbFtq2UcFATkfiCCGE6FsSKPUCI5oKdBwHbWbfqdS2483tT1remiDhaPIDBqMiPR8NAGm73jopvYF3FltbdihiJrKOBwD8jJJ3Rly2jFG6uO10mAEVMhRJ7eTUDC7S2BbaslHhcGYpVQghRL+QQKkXeEeIQOd9SsnKzMNwvbEAO+XFOmRjuv382c56i8cJpvW4JBztn/kGnc9RAoim7XzTsMmMkrczrn2g5B9lIoFSt2jLcnvZQmG3BCflSyGE6FcSKPUCZRh++SvbzjetdYfDcJe0uEHKzvmb158EWQZOag2JOAYaL1eV0JpEWtDS2RwlaJulFHccgsrNGHXGTA2lDKjUtvbUYwaUynkOk2jjNXCrYBBt29LQLYQQ/UwCpV7SNp27Y/Bh123EaW0FpQiXV+BozafNqf6k/M3rT4K2I0wcr0cpkcA7zTZoeDvQHBKpgCcIGFp3mlFKn6UUNBQtduc73yw/UFI4LS1YG9aj04IjCZS6xw+UAgG0JQ3dQgjR3yRQ6iV+oJSl9OYdXRIqH44KhVgZT9LiOMQMtVmDJj2q/WRubw1KEU41Zicd7WeGwl6VrDV783n6eW8hpUjS+c43U2scjT9s0o63ohNuZitoQIscw9EtTjIJhoJAABzJKAkhRH+TQKmX+LOUsmRpkv5huJlltx3yYm0HyW7Wc3uH4qZKb94aolFCXkZJOyRSAyDDqYwRjg1Zms+9++O2jWpsxDStTgMly9GkvwSdSOCknt87882RPqWc6UQCFQi4s6g0EigJIUQ/k0Cpl2zqYFyvP8k7481r5J7cC/1JAEYoFSilMkrKK/9FY4RSUUzCdoh7U7mNtG/7JqZzJ2wHmpuwN3EcSYcdcY7GbmxAa7eh28phvIBwaa3djFIg0HabBEpCCNGvJFDqJZs6761tx9sodFp/0uTNnJ/kyZijpHVbk3ZGRkkT94ZNGgpSgV3Wg3FT5bp4WhDUWUYp7riN3Ons1lZ0It628036lHJj22BZqEDqOBtD4XQybkIIIcSWIYFSL1FRr/TWeY9SeMQo1iZMGmybkFJMivVORsnb9YbWYFltwU8k6meUklqTtFOBkjIg4gVK2Q7GTWWUUsFRAEVrJzvfEtohQFqkFAyAbeO0tvpjD5KyxT0n7rBJC5XKKKlAoK2cKoQQol9IoNRL2kpvmYGH09qCvbEWcKdyt/UnRf0daZv93F6gBGCmneGWVnpLOpq44/UoKUgd5Js9UGrb9QZuCS3blG1vcnf7GUoqFMJucstvSrlN4aJr3lRuv/QWCOAkEjLdXAgh+pEESr3EL721yyglKysBCBSXEMjP9893m9wLYwE8Khj0f7mqZBKVrZnb0SR1WqDkTRPPcj6d36OUuj6kIEnHKdtWatp3h0ApHMZpjaOTbvmtWQKlnGjLBK39swBVIOhmCGXnoBBC9BsJlHqJEcveo+T3J430+pNSgdJmHoTbnko1dJM+SDIaJZxWevMyRGGVFijFWzvsSsuWUbKcjiMCLKdt2GQ6IxRC2zZOa5yQUiRS14lNcxu3294nFQigZUSAEEL0KwmUeknbeIDMnpL0w3BrTItayyagYLteDpT88lsyvfQW9bM9CcfxS2Ahw/CbuRPNzaw3MzMWfo9SKlAKKIVNxx1uVupIlGxHsKhgALuxMdXQ3fmuOdHGMU0yZi0EAmjbkkBJCCH6kQRKvaSzHqXk2rZGbm8swHaxqJ+16S3eeXMqmYRWr/QW8zNK6dv0I6pt15sdjxNUYKdlfPyz3tJuU7rjmW/pZ8d1WE84ghNvJWAmsTR+2U9sQiKRMRpAGQY4WgIlIYToRxIo9ZLOxgOkH4abfhBurz9/qvSmTBOVWoNqNx7AL72l9yglWgkbKqOsFk77Gq8sZyhobddrlHScTn+AjFAIbZk48VYU/XuUiVVfh7mupt+eP1dOMuHveEun5RgTIYToNxIo9RIjFXikN3Nry8KsqQbcHqXeHjSZzpvObSSTbSMK0scDONrfpp/eo6Ra44QxMspq0bRsV+pQFHfKdrudb4ksM5QyBALYTU1Zg6wtSZsmVl0tegA3lXsH4PozlNLvk1lKQgjRb/o1UHr11Vc59thjGTlyJEopnnzyyf5czmZRqTPb0ucomTXVYNuoaJS6giJqTAsF7NgHGSWvmTtsmW3HqMRibj8SbnbIyxqFDQOVGg9gJFoJtcsoBZXCy2skUjcHDYWpHazU51prEo6zySNYjEgEp7WFgGnRYjnuOIFUwBZ3HFpshxbb3iJHnDitcfdg4gFKW6lepPYZpUDAHSQqhBCiX/RroNTc3Mzuu+/On//85/5cRq/IVnpLL7t92uLePiEWIRbo/bfdSE3nDltm1oGTptPWoxRK61EKxOMUBAMdZvX4O99Sn4e8KdupXiNbgwUZowGea4ozO5DnTwA3QmG0aRJItNLs2CxpbmVJSwtLmlv5tLmVT5tb+LwlTp3V99vfdSKO09rS58/TU+2HTXpUIJB12rsQQogto2Oefws66qijOOqoo/pzCb2mrZk7LVBKHYYbrhiZNhag97NJ0FZ6C5pW1rPeTN12lEgk7QgTlUiQbxgopbC19jNEUUPR4rQFSgGlcEjtfAu4j2dp7U75xt1V92ZLAscIssSCqaHUFxoBQi3NGEXF7qdKoRQo3H/WWzYttk1pqG9/FLVtYzc0EBpW1qfP01PaMsFxsgZK2jTRjuPPVxJCCLHl9Gug1F2JRIJE2pEODQ0N/biaTCrV86PT/uvfOww3NHIUi1t6f9BkxvOnSm+GaaYFSlG/MdvUbQMjQ2nN3IG428wdMlRqJpJ7vZtRsv3Sm/vi2na+WVpjOdqvFC3bWI+T+tpPG5uYWlroricawW5tJWJbmRPEUyJK0Wi5vU9qE2W8zaewW5pwksms6+hv7s62LK8/VXrTltV2VI0QQogtZlD9J+rNN99McXGx/zFmzJj+XpIvfTK3V8bySm/xEaNZm3Abcnfq5flJ/vOnSm+GmfR3vRFtV3rzB04abc3c8ThhwyCijIydaf4spfTnSGvKNv3dcO51X332mX/dV+GoP1pABUNuRiTLGXjg7rBLaCdjFEFfUKEgOpHAaRmg5TfbyjpqQQWDfqO3EEKILW9QBUpXX3019fX1/seqVav6e0k+r/SG1m4GQGv/MNxlw4YDMDYSpiDYcft3b/CyDYaZbDu/LRrze4hMrTF1x7PevMbvgoCR0dDt9yil/fYOqrbDcdMnbesN61mq2l6XFQjy5br17rqUAkNhNzVmXXdIqYxz6PqOws0qNffx8/SME0+gsvWuGQY4tnuUiRBCiC1uUAVKkUiEoqKijI+BQoXD/lRlJxHH3ljrZlEMg89Dbranr8pu/vMDTlMTygtiMkpv6RklhZPKgHlBVdQwSE/qeBml9P1WIUOR1I6/c82rlDU/+1+qytxgcMrq5QB8Vt8WGBmRKHZrC06y4zZ3pRQKiNt9v3VfRSPY9fUDckyAO0OpYyVcKQVaZikJIUR/GVSB0kCmDMOfjq3jcT+bFCqv4NNWt4DVl4GSkXpuu6G+7cZwJGOOkre3LGIoLG+tiQTacYgYBkrhb9XvLKPknvnm0Oo4BJVCr17J0nUb0Mqg3LHZM88N2D4fVoGVGvKoQiF0Itk2tqCdoKFo3AIHvxqRKE6idcCNCdCOg04m/UZuu7mZ1i8+y9iJKKU3IYToH/0aKDU1NfHBBx/wwQcfALBs2TI++OADVq5c2Z/L6rH0PiVvx5s1Zhwr425epq/6k6CtmdtuqANAR6Iow/ADpfQeoJAysCJta3HicSKGckcApK6Lpr6uuV2gZOMOmkymhk3qJ//F0rETAJiYH2NUYQEF8Vbi0RgrPnf7ltzym4HdnL3sFVGKuKMzhl46ra3Yjb3brK+CQbDsATcmwB0NYPszlOqefpINDz9A6+KP3QsMA0dmKQkhRL/o10Dp3XffZerUqUydOhWAyy67jKlTp3Lttdf257J6zB8RkIj7O95WTtweDYwMhyjpwy3wXunNTu0E1NEojtZ+oORfBwQVWIGA/4vZaW0hpBRho21C98jUuIHPHTJnLGlocRwsNKEvPoVPFrF07CQAJoYC7kDNVO7q00AEUhkuIxp1d52ZHTMjIUNlHNoLYK5fR7KysvfLZKEQVnrWbQDwAiUVCKBtm/iXXwAQ9wLNQACdSGzqIYQQQvSRfg2UZsyYgda6w8fs2bP7c1k9lj5LydvxtqxsBAA79WHZDfC3vPtBQCSKpbV/1psnrBRKKSzaRgQ48VaUUhkN3ZPzo4SVok7DyrTeIkNBq+1g2w6BJx6nvqCI9aXDUMD4VCA4uagAgCWTdoK33wBS5bekmbX8FlAKrfEbup1kEqu+DrulOWMuVW8wIhGcluaBlaGxLLdhOxAguWY12nTXllj2lRukpoZOth8KKoQQou9Jj1IvUqlyVnqP0pd57jyhvuxPAlDhdkeoxGJYmg4ZJa+5G60xUjvfvJ6dmGHg+NcZ7BJzH/PD5rZgJZia0G0sfBe1cjlLJ+0IwKhIiFjqsccbEHVsmgoKWbO2ElrdQAylOi2/GQqavUCpqdHtnbKsXi+TqUhkwI0J0LYF2i1RJpZ95d9uN9Rj19b6mSa2QB+XEEKITBIo9SIvo2Rt3IBdt5FEKMzyVOQxuQ/7kwCMSOYwQiMaxdQaQ6mMg2vDhko1bCv/IF8vyxM2DNBtDd27pw7v/ag17o8DCCmFZZvEnp4DwNJ9DwRgUqzt9QWVYvvUGIQlE7ZHvTs/tcYITnNT1sbksKFosmxsx8Gs2wjBACoUxK7v3TKZO9RSYTc39erjbo709yOxbGnq39xvWnzZV26Tt8xSEkKIfiGBUi/ymrm9X3ard9gZBygLBRkWDm3iKzef18ztCURjGcGNJ6wMbO32BbXPKEXSJnQDTIyEKQRaHc3nqbPqgoaC1+cRWL8OXVTE0lL3SJBJqeyTZ6dUO9bi7XZGLXgLTBMVDuMkEzitHctpYWWQ1JrWlhacxkaMWJ47VqClCaeX+3NUNILd0NBp/5PWmqpEkpYtMLIA3FIjhkKbJolV7kaG2K67AW75jVRGSVsdxysIIYToWxIo9SKVyijFU4HSqu0nA31fdgP80QSeQCwPsgVKqUAoqBSBdoFSWCkiSvnHlBhKsVsq4Pmg0S1VBSrXEnn2KQBqjzuZetshAIyNZgZq2xkQQFM7ZCg1eQWoD99Lld8M7JaO2ZyQ4e64a2loQFsmRjicKpMlM8pvjtbUmpaf9eqJtjEB2ctvjbbD2kSSqkRys54nVzoRRwWCJFavBNvCKCikYO/9gFTQrZQ7yFQySkIIscVJoNSLvNKbWeX2Jy2tGA1soUCpfUYpFkUp1WHnWzg1AiBsKDeYoi1QUkqRFwxkbNOfkhq4/WlzKy0vPIu++TqMpkb08BF8tfPuAIyNRtyyXZqIUkxK9Swt3n5njLdeB8fGCIdxmprcnpv2r8HRNNXV+0GfH1g1tQVWdZbNiniCtZsRxLSNCejYWO5oTU0yiaU1G0yLOqtv+4K01m7GLBDwM5GRCRMJjx6DCoZwWpqxaqoBCZSEEKI/SKDUi4y02URmMMjKfHdyeF/3JwEdDnoNxvLcAZHtdr6FDQNLa/IMo630lrYTLc8wSA8NhisYjsYCPv7iS3eH1m67Y1x6JUtT59dNysvMZnkmp4KsxTvsgqrbiFr8CSoSwTGTWYOUYCJOQyKOkQrgwCuT1buN3VqzwTQxHYe1CZPqhNnznWCdjAlosG3qLJuSUJCgoahOJDMCx16XNhrAC5SiEybhBAKEx40HUhlKpXBMKb0JIcSWJoFSL/JKbwCrK0ZjKcWQYIDhfdyfBB1Lb8FYzA+Uwu0ySg7u5G1/nEFa0BIxDJROzU5yHIy3Xmf31/8HwAe77ok657uo71+CLipmaWriePv+JM8OAbcluaqsgtriIRhvvppqUc5+5prR2kxcg5mWnTIiEZx4HKe1hSbboT4VxBQEDVYnktSkRhc4ra1U/+3PrH/sYayNtV2+X0Y0itOcOSbA0Zp1STM1a0pRGDBosG029GGAoi3LbdS2bZJr3LMLm8aOZ5mtCY2fCLT1KSGzlIQQYouTQKkXGWmB0rIx7rTqyfmx1E6rPn7uLM3cMcPA1PgH40JqPIDfzJ0qvaVllMKphm5zYy386bcEXpzLlE8+AGD5qHHU7z0NpRRVSZMWxyGsFKPb7bjz5CvFuNRP2JIdd0VVV6KWfuk2dbcrvzmmRbCpCSsSIT0cUIEAaI3d0kJt0vKDmKhhEAu4wdL6pEn9Ky/S+Nbr1D37X5Zf8SNqZt+NWVPV6fulwmF0MnNMQL1lU2faFKZ27BlKkR8IUG2afdbYrW0rFSStBseB4hLWlpRSD9heoLR8mZtRSkqgJIQQW5oESr0ovfS2Yqz7S26nvL7vTwJQ7ccDxGLkpcps4bTSW1ApgsrNLHnjAdIzSmHlHmWiHp4Ny5eiIxFKjjmBCalm7Q+b3MDiq1Q2aUIsQmATgeBOXvlt933cdb75qpslSiYyAjTd2oJOJFDhMPF2lS4VDtNYV8dG0yQv0PYjmxcwCBmK1fEEda++7L6+ocPAsmh45UVWXHkpVXfe7s+0ynhMr/8pNSbA1poa0yRgZAaWeQGDpK2pSW5GmW8TtGWB1iRWLAMgPn4iEcDQ0FhRgYpE0Yk41oYNbUedCCGE2GIkUOpF/hwlI8DKEWMAd8L1ltC+mduIxggHDNCakGr7NgeVImgoQsroMB4A3CxK3pKPCSz+CAIB7PO+B9MOZGphPgALG1vQWvuBUmdlN89OqadeUTSExvxCjOVLUamp5XaL+7xag9XYAIEAAaBZa+LLltKy6IPUa4lSG4+TSCT8w3o9BYEAxopl2JVrIBxmzK9uYdTV15E3ZQ/Qmqb5b1L5h5vZ+MxTHYZMqkjYHxNQb9nUmzaFqWNd0hUGDdabJg19EKS4DdqaltSgSWfcBPKUIk9BgwoQHD8egOSqFW72SRq6hRBii+q7w8e2QSqVoVk7fCRmMEhhwOi0LNXrz20YqGDIn7VjRKP+cSXpu94CuIfiBhVpzdxtAYS2LPS//uF+ctChUFYOwK75MZ5av5Ea02J1wmR5tkBJGYDbdGyE3L6sEkMxQmkqUfz+witQtu2O4Q4EoCGOalzNXvlRDm9pSa0Z4tXVrH/ofrBtjPx81MTt2GBrYlYSyO/w2vNSx6RYe+xFazhCwY6Tie04mcSKZWz8v//Q9M7bJL76guq7/8qw084iNLzCXW7A3f1m2TY1SYuQobJmx8KGgWE7VCVNCgKBTWbQussxk9QlLezKtSggPME9Ny+iFI2Oxh43ET77lMSK5eRN2cMNlCKbDk6FEEL0Hsko9SIvo7R8zHjAPd9tS/QnedLLb0YsRshQ7ryktCUElCLPMFBK+YFdekap/sXncKorcQoK0Yd/w789GjD8MuLT6+tIpnbOpTeqG/n5BEuHuk3SaQ3Qe6XCcdswsEIhrEAQC/e8OVPD/KY4aywbIxQibFtEn/qXf1xH42uv0KAhGQgQznL8iU4mIDX5O77fASyPJ2hKfW1k3AQqfnAJIy75KYGiYuyNtdTccyctiz/OeIx6y6bBtikMdP7HoTAYoN6yqc1yqG9Xak2LWtOiybZJOk7GWIP61jg1lZUordGlw6Co2L8vqqAx1aeUXLkCnUy6x52InNgtLcRXrhhY5/oJIQYdySj1Iq9Hafno8QBM3kL9SR63/OYGE0Y0lupHysySBJQimgoI2jJK7qRsu6GB2if/DUDyuBMJRPNQabvTphbm8XFzK6sS7i+eibEIRtpjK0MRGlYGaKwNG1D5+ahgkL2DiskBjanB+O+/MZYtxdllCua++/NyXjEfW5pXQnmcA4RfewWjqhJiMUgkSSxfRvOKFUSHj3CHRJoWRijtx3bhuxCPw7AyCnacTL3jsKI1wbhYhIJUGS08ajRDTzmT+hefI7HsK2r/+Qjm9IMp2P9AbKAmaRE2lP9aTEezoKGJibEII1LBZ0Apoqkm9qJgoEMJsDMNqblPlqNRyh3+GVSKmGEQNRRrk0nCa1YAoMdPyPjaGFBfVk5+Xh66pYVkTTWx7XbI6Xm3Rk48jgoEUKGud5E6ra0kVq7AaawnkJ+PMXTYFlihEGJrJBmlXmREIzhKsWLUOGDLDJrMeP60koyKRjFSv5DTern9Zm2gQ4/Shjn/xGltITx2PEw7ELNd8/L2eVFiaQFC+/4kW2tMNKFh5QRLS7Gb2s51y1eKEkNRNHVvShrrGfLOm5Qk4xxsJzC0ZqkKsKyqGvXGPHf93zievN2nAhB8Yx75oRA6abKisZEHK9fz75paXqxt4L1Va1g6ZgIbpx+KNgxKggHiqWCpOa2nyIjFGHbWLAqmHQBA46svU/vvx9iYSNJo2xSkgkdbax6p3sD/bajnrrXrWJdsy4zlBwxabSfnxm5ba6qS7mDMoeEgxcGAe9YemnrbYnVrHNuyia70AqVJGV8fUAqFgTPOzSqZq1dusz1KTiJBfPky4suWdnqwsn9tPE5i1QqcliascARr44ZOj6sRQoiuSKDUi4yCIqoqRpGIRIkZinHRLdOf5Elv6Pa2/ucZBgEyxwN4c5Xadr21kFixnIZ5LwJQdua55AWD/lEmnqBSTCloC/7SAyXvaJF6y0Er3GBp6FDs5sbMnVpjx6NHj0XZNsEPF1KciDPVcYORlxLuDrDkrrvTPHlXCg74OlopIl9+RqCmkmZl8I+6Zpa0xHmvsYUXNzYwZ+rXuO/U7/CHibty7dI1PLGujsKA4QdLLWnPrQIBSo48miEnnASBIIkvPyf+8H3E6jZgpKaY/6umls9S59olHM2DVRtoTY0GUEpRFDSoTppszGFi9wbTos60KUqNGwgoRcQwyA8EKA4GKTUUBc1NGOuqgY4ZJYA8Ba1e+W31qm2yjKQdB7OqEqe5EbupifiyrzqdleUkEiRWr8BubKCleAjLo/msa2zCyTK3qz9t7g5KrTVJx6HJsmno4+nxQmzrJFDqRYG8PGrPPA9wxwIYW7A/Cdxt9B6vXyocMDKauaOG4U/q9idg2zbrHrwXtKZg3/2J7TiZ/GAAm45/me+Z2v02LBRkaFoJrM6yKQkGyQsYxB2NChiEhpURLBmK3ZgZLDlfm+4+//sLUNpmetggZNusKh/Jp7tOxTryGBJAQ+kwEpN3dV/bG6/ydChGk4ayUIDDhhSx18YaJi3/kqHNDQTd8VC829jMozW1FAQMWh2H5a0JWlKTtbXWNGtN02570Hzu+diFRQRqNxD7f7/HWVfD0+vr+LCpFQM4sWwIxcEA602Lx2pq/b6isOG+n2u6ODS31XaoSiaJBbI3iHvvu0qNBdBlwyG/wL1Za1pSzxdRipZURilZuRa7qbHT5+wOR2vWJ82+nTreS6yNtZjrawgUFRMsHQJaE1++lGRVZUamyEkmSaxaiV1Xj11SSpWGRsNgFQZVtRtzCk5aFn9M/Usv9GoGytGaVtuhzrSoTposbYmzuLmVJU0tfNbcylctcZa3JljR0MCqdeuoammlJmmyPmlSa1rUmRYNlk2daVGTNFnRmuDT5laWNLfyaUsrS1vjNGYJlqzURHshxOaRHqVe9lVhKTQ2b/GyG7SV3lQ4gkqVyMKpcQCeqNEWOKUPyIx/+QUqFGLoqWcCEDGy/3IfEw1z/sgyioMBv1G90bIJG4rR0TAbTYvKhDvvSAUChMrLAY21cSOBoiKUYaB32BE9rBy1vobgJx9TUjGC/Vet4dX9DuJ/hx7DhZEIjUCdo2n+2kFEF3/EO+E8viBAQGtOLcpjRFEBes5DsLEW9d0foCdM5tOWOI9Wb2Bxc5yHqzZw+vBSmh2HlaZNIQZNtqYJsDVERo4icNZ3MR57AFW7gRfnzWP+1P1RwEnlpexRmEdFJMTf1tTweUuc52vrOXJoCeA2dm9IWqxNJJgQi3YIhLTWVCdNErZbcluTSJJnGAwJZf5x07aNsSpVdpswkRpH84ENiyy30+yksGaXgCI0dChOYRFGYwOJZV8R22En//vbE47WrEkkqUqYlIcdxkTDmxXU21pTb7mZs2Av/8eB3dxMsnINKhrze5MChYU48bibYUvECY8YhVKKxOqV2HUbUUNKqQYaNQxV0BKOsLyhHqOplIqC/E43WFh1dVT+8XfoZAKzuophp5+9WWtvsGzWpwazmlpjOtodmJqa1WUDdiKB0xrHamnGisdxbJtQRQXBWD5a4Ub/7pnIqNTnAQVBQxE2FPnKoN6yqU4myQ9E/e+jVV9HsnItkVGjCRQWZayrznIHtxYH5a9/IXIhf1J6kaM1n6ZmA/VHoOSV3rzeI3BLbZG0XwxFwYD/l6kyDFQkgk4djVHyjeMIpZpeI8ogiKJVawrbPc+EtJJbwnGwtGZCNEp+IICtoSppYmvt9tgEAoTKh4Ojseo3EigqRhkGzte+TuCpf2MseAOUwdeTSRbs9TWqQxE+dmCUAc0KYhUVVO65H3OnHwnAoXaCMtuCTz+BjbWQnw9TpmIoxc75Mc6pGMaDVRv4vDXB36tqObuilEatqTUMorjDBbyMmlNUiHnKWby3eDEvT90fgGNiQfYodDNtoyJhTiwr5bGaWl6ta6IiHPbvKwkFqDVt8gyTke1KrPWWzXrTbfqet7GB52obACgOBhgXDTM+GmF8NEKpZRKvqeHjPfZj4X6HsKbd4O3/JKEioilRisT4icQ++oD48mXujsAeBkqO1lQmklQmTfICipqkSX7AYFgPj9mxtGZNPMk602RUOMyIXiw3a8siWbkWnTQJlpZm3GdEo6hgEGv9OnQiiQoFsWs3EBhSSq1SrHM0RSo1XT0SRjfUs6K+HhUOUx4OZQ0MN/53jruLEqh77v8IlAxhyFHH+PcnHCfnJv46y2JFa4Kk7RBVENWaAm2jHNDaRlsWdlMTgdYWtGkSMQJuj6OZIBIMEAjn/ldzUdD9WSwJWgwLh3ASCZJr12YtN7bYDqviSYYGAxIoCZEj+ZPSi9YkkjTaDhGlMoKJrgSUoiQY3Oz5PF7pLT1TFEod9+EparcF3ojlYScSBEtLGfKNY/3bo4aiIhRkFWCnzldr/8vF1poGy2Z0JMyQVB9OQcAg3zBosR3/KBAVCBAaPhyNxq6vJ1BUBLtOQb/yP1TqYNpo6TC+FjZ4yYGXLZgVdjM/SsHj02diBUNsv+xz9i0txokG0W+86i5in/39TEOr7TA+FuG8EcN4oHI9y+IJZldu4My8EPlaZ812LCoo5v/2PQiAQ1//H/t9/hH6sqtQQ8sA2L0wj6qkyby6Ruasq2VYKMjoaJiAUhQEDKqSSfKDhv9Lx3Q0lUmTgIJPmlv9IMnADaAWNbWyqMkNpqPawTz9AuzU1xrA9gbsEYT5Fqxw4J9J+G4EzHFuoJRcsRwnkSCQw86v9nQqSFqTMClQmnDSwsadbB4NGP4uwVyZjmZ1PME60yRiGFSbJgXBgP9931zJddVY9bUES0qz3q+CQQJDSrHr68G2CAwppcUwWGtrosASG96xNQcFYUIoRLKxkZUFRdhaMyKSmUUza6qpf8Xt0SuYdgBN899gw2MPESwpoXD/A2mwbFbFEwwNBbMGWtqy0KbpzsWKJ1je0kpjPIFjW4S1jeNoEo7jpoa0AygIGBiRCEYsz89yOWQORc2F2/vm7sgsNBS6ai1Oc1MqBdXG1pq1iQT1ls3QXvoeCbEtkECpFw0Ph/j5+JFsMK1ulSCCSlEa2vxvheEFSl7vEW3nlXkK2z1PcOgw7LqNDD35jIwjWJRSjIiECBmKdYai1rQpDgb8bIzWmjrTZmgoyPBI2P+L3lCKIaEgKxPJjEyUCgYJlVeABruxnkBRMc5+BxB44Rm0UtgnnMR+4QBvx2Gjhs8d2CeoeCapqQmGKYi3cOKz/yY0eResaQfAooXu437t6+5aLJuAUjSZNqMiYb4zsoz7K9exMpFktmVxOgqlNbWO+/gbNWxwAnySanT/WjTIjKVLoHYDzm2/peHiK8grKyNiGBxeWkRV0uSzFrek94PR5RQGA0QDBgntsCaeJJpnEDEM1iVNGi2LOsvm3zVuw/EBBTEOjhisbGxmedJklQOrVZC4MiBoMKJ2HbsPL2O3gLs7EGCUobkzDtUa5powM9XobVZX0vrZp4RGjCBYXIyRl48GmmwHA/fIlWzZEjuRoKqpmVUtrcTirZCIE7dMgoEA9UaQ5ZEIE4sKCIcjGJEwKhLdZHkv6TisjCeoNS1KQkGCSrHRtFibTDIpEN3sEpxVX4dZXU0gv9A9768TyjAIDhnivjdaU2lrkg6878Abqfacx5JwXjhGeUsT4WSCNUqhgZFpwVLtE4+DbRPbZTeGX/hDAkVF1D//LNX33IEqLGL9xB1osm2akiYtrS1UACHLxEkkcFqa3RlXlkWdZbFKBVmnDJ4I5tGiwig0ZQZUBKHCUIw0YLgBsV4sUxYEDNabNmurayhbv45ASYkbQKZZlzTZaNoEt2zrpBCDngRKvShsGOxWkNf1hX1Ehd0sVnpGCfC3vgPkt/vlN/yCizCrK8nbbY+sj1lkKIqiYapwg4BowA28GmybvIDB6Eikwy/FomCAUFKRdBzCac9nhILuVGztuH+J77kPasM69OixMGoMEWB6SPOsCfNMiKFZkOpRPaGljoKWZvSH77vZFMuCMeNwRo9lo+lu7x8VDVNn2tQkTcrDQb47soz71q6n0na4NVQA8favzl3b1PwY3xheirr0KpzbfoOqqabo//2Ohh9ejlE+nJChOLW8lL+uqWG9afH3qvWcWl7KsHCIokCADabN2pZWhtgWlS2tNCSSPNyUxAYmYzGjbh04NmONAOMjEVQ0hAOsm/cy4cWLGLbDjjijjsp8D5XixLDmwSS8Z8O4wiFMGVJKcGMtycrVOGjqaqqJFxTRUFBEIhpFK0VRwGAImnzbJmJb2IkEdnMz1fE4q02bmLYJBAKsDUb4MBxhirKpsC02NDUTbKhjlHbcDODQoYRHjs4apMQdh1XxBBtNmyEhNxPqaJ0qAVnUOC0MR+Mk4jgtLQSHDCFQkFnAbbBsEo5DWZaSn1c6Qin/Z9luaaH5/XdQKCITJxGqGJERyGmtqXE01Q7Ms9xAG2CIY7HRCPIPU3EeitKWJory81ibNAkqRUUkTGLVShrnu9Pdh550Gkophp12NnZdHU0L3qL6/93Khh/+hFWhGOOtOKstmzrHZqS2KTAUKhhEBUM0RKJUtdbTvHEd/xk+jhalCDgOtmFQA9Q4sCitRzyEplBBgcL9J5BvhClpTVKs4hQGAhQGDX9ALLhZ03WmybqkRU3qn3HH4dhhJZSYJlUbNpAfzaOoXVmtwbJT5VZ3k4MQIncSKG1FvMnc3sRtj5dRCioyynAA4eEVhFNHenQmbBiMDYfJDxisTSZZnzQJGQajo2F/eGW6mGFQEDBosu2MQAm8YGkEaO0eSPuN4zOaa/cKwJsW1Gv4V2qE0bQAbDdyJHrkKNTaNQRTv9ScaQdSZ1oMCQUZE4n45SNDuX1SpaEg548q4741NTQ4uA2sCoYoKLFMSrTDyMICJg8vxVCKlsJi4hddzpC//B5qqim+5Qaaj/kmxkGHEA0EOKdiKH9dU8OahMmfVlVzQEkhB8XC5LU0s6ahkfpknHVaMSeUR0IZjMHmOKVpchxCjU2EmxsJNLV9jFryMaq1FXt8ZpDkmRRQTA9qXrXgvyYMn7wbo96cx8Z33iY+/RAaRo6mpbGZJc0J3guEAcUULHZ2TIptiyLtUKw1VijI2mCE/IIYcWCuBR/bgIYPCTIrEmRYFGqBQkMxxDJJ1lS53/t2wVKr7WaSGiyb0pB7+/821PN6fSMHRkLso01WJuIYZoIC20Y7NkZeXkagVGtarIwnyAsYHQIlrbU7CqCliUDpUJxEgqb5b9D45mt+Lx24WdPIxElEJm5HdOJ2NOQXsLSmhv9Gi6mJ5hG0LU549gl2Wvopd533I2oKi3kslM+5jY0UDSklPxB0S1XBAA1zHgOtyd97P6KpI2SUYTD8/B9gNdTT+ulinlm+mk8nbE8pYU6KQjIZZ23NekrXVROuqSJeXYVdU4OdX8Bjp32XpnCEippKvv3P+zCDIdZM3Ye1U/amKr+QSu3+fJtArXY/fMEY1Le4HykBoCAYwNaapk52Ws6uXM93SGLbNuvzCyhI2+GXdBzWJtx5XrFgQAIlIbpJAqWtiJGlmRugJNWPkGe0lc66/dhKURYOkRcwWJtIUhTovBlUKcWQYJCNpo3WusMuIyMccoOlqrXYjQ0YsRjassGxwXaYroL8N+i+huFKc1hIgVI4B8wg8PjDAOhAkPo996E8HGZUJOy/roBSjIqEMYC1CZOiQIBLS/JYX1XFkKJCDMvEaW4hkJ9PaFgFRn4+OrVrC2BsxXBKrrqW6v93K4llX5H/+MOY78xHnXkuw0aP5Qejyvnvuo18EU/yal0jCzc6HGbFmRhSrI8V8KwNDVoxLNHKGa8/R2zZVxTWbez0fdXhMDp15E02M4Kw0oHlDvx776/zvQVvEl6xjODD9/PVftOZt8/XaQy09cO9TZD3jAC7BhVTAlCChUok0crNtLxjg/drsli5v7AfSsB5EYgpqHQ00VCIvKISzBp3vpMxYhQJpYjbDuuSJk22w5BQgGbb4bGqDSxNTWp/KW5S4CQYHwywLr+IgpCBqt3Q9lq1Zp1psTqeIKE1eVmCbG2aWI31qGiM5gXzaXj1JZzUgMnQ8BEEiotJLF+K09pC6ycf0frJRwAsGz2Bfxx3Gi3RPAqaGjnryYcYXeUevnz2P+7mzlkXUx2OMEcHObOpiVhpKS2mReWSxbDwPVCKod86JWMtKhQi9v1LWPDwg3w6YXsAajG4N2Fx1Csvst/Ct7EAbwN+fWEx9536HRoKiylrqufE1V9hTJhE0aefUPzai+z82os4O07GmX4oieEVNGl3Z16ThkbcfzYkkrTE8mgCGi2HFsfBBv/nE6AoEKA8HGRYKEhZOMTb9U3UmBYPO4pz8wvYqKFEQ1HqPa9Kmm5fUkj6koToCaU3d/JZP2poaKC4uJj6+nqKioq6/oKtXP0rL7Ju9t0UH3EUw045E5UKZBKOwz+rNzA8HOKI1Bb3XDiJBMnKNYRHjMqY+u1o3eV28oTj8GlLKyFU1qyT9/hmVSWOZaKMgNtjFY5AIMDdjQk2WBazkk0MLyp0gy3tYNx5O8b6dST32Jvi713coSk3fY01SZPViSShxkYC1WtRwSDadgiWlhIqHYoKBnG0ZqNlE0tlyEpS75l2HOpffJ4N/3oUnYijjQDq8CPRXz+UZN1GPjNtng9GqVPuaxvfsBGViLOsbAT5zU1c+MjfKK33AiSFUVhIoLAQCgpxCgqxCgpIFBTROmYsyWHDCSmIAGHoEFg2ardfqRnYI97Edl8s4cWxk9hY7DY5l9Rv5JDPFhEqLOT1EeNYUzLUfVatmfzFYso31PDWnvuTSPWgbbdyKUe8/wZDEnHuP+ok1hYNoQjNtyMKByhSMDygiJsWDY1NJIeUYpcORadGTRQFAiyPJ3m0aj2NjiakNZMMzafawADOCkOxAaMVDK2rJTJ+IoHSoVQnTNYkk0SU4s36JiqTJoeWFrNPUT5Rw3CzSevWUf/S8zTNfx27rg6AwJBSig85nNguu7njJWyb5JrVJJZ+SfNXX/J2yTD+e9ix2IEgIzeu5/Tln1I0rIz4iFHo5V+R/+S/WF0xintPPx8rEGBfZXP8uDHYCuzbfkPoy88pmn4w5d++MON9t7Xm4+YW/t+KSpo0THv/LeqKSvh0u8kATF7+BccvWQglpTQMH8E/xu3AxkCIIdrhOGWzY2EeRY0N1NSux377LaKffIRKzSZzdtgJyivQsTz3uJ5YDB3Lw7ZtwlP28DNwltY0WTaNto1CURYOdth5t762lrtqm2hSBhMNOC4E0YY6hi/5CHbcmdXbTaYwHCSceo/faWgmoBT7FhcwppM/P0JsC3KNISRQ2opoy6L108UEy8oJDR3mB0qO1ixpbqU4GGB0NPfdeNqysBsbCBQW+Y/VHStaE6w3zQ7zgzKew7bRjnbP8ErLdllaYyaSGDVV2M1NBFKHxTYtW0r+m/MYes53KB8/YZOHDutUsLR83XqsqrUEYnkES4eh8vPwRtRYWlOSKt1ly3BYtRuofPB+EgvfdR+zdCj2pO0x6uux1lXzxo5TeHW/6ZipbF7ITPKdfz1AWShAZMw4SseNJzp6TIe+MUgNIgRaNNQ77r8ngICGiIIo+L/Eltpuv1L6H9YCy+Sgj99j75fnEkodlqtxzxp8Y+8D/F/onhHVa5k57zm2W/mVf1tzLI97Tvsu64aWM7Shjm9//iHWmLE4o8diGwGCtk2guZm80iFEy4ajDcVrGxt5YWMDDjBM25zSXEv5ooX8a+JkPq4YQywR5/z/e4xhNVUYra3ubszSoSSKS7CGlfOfyXvwSeEQfw0R22LKyqXssXA+Y5d+7s+RNwoKKTroEPL33Dtrr9R62+EfqR4ugF0MOD4EloJWDSEFIUC//y5FzzzJxzvswqPHnQ7A0YUxvrZ+Lfr//QEdDDLiN7dRMKws4/FrTYu71tTwQVMLQxV8b94zhIYMYf6EnXg+vwRHKYq0w5FWnBeDUTYogxJDceKQArYvLmJMLIqu20jLsqXU5+WzbuNGwq+9TGTxx37AlI3efkeMH/4kY4BsZ5ykSXLVCtYCD+gIplJMXfoZ35rzoP8+6sIi1B57sn7qfvynaCjL4m3T3QtSh11Pzo+xc36UcdGIBE5imyGBksiwvDVOfiCQtXm2r9SZFp+3xCkNBXr8l6+TSGJWrcFsjdOYX0jMNhlpJxm+4845HY4KULNhA7VNjYRKhhIIh91fIMpt5Q7glhS7KklWvfM2DQ/PxmhXRtMo6sZN4LkDD2fZsOF8I95ARUkJFdqh3EqgTNO7EIIBVDiCEQplXXtCa1o0NGlNg3Z7zw3tHmMS1ppXWpPMMyJEtGZ/J8keAQcnGMZobqTok0WolhaSBQVY+QUYBYXUFxazIL+EWiPAnlhMTrZiJpOYySTKTBJqaSawYjnJ6irumfkt6oqHMKJ6Ld957F4iwQB6t6k4e+zlBodNTTQNKeVZx+CzuPuapjQ3cNxLTxP9bDEAZjDIvad8h9UjxzC0dj0XPvI38uKt/uvbWFTCwyecSVX5CAK2xV4fvccX47dnY9r2/yF1tez11RIOMjSj9pvm7+RM52jNaltzfxKWpeqI04Nuf5up3MOESxUUGwoFLLM1gbffJP+FZ3h136/z/PSZKODM155jp7dfIz7jcApPPYux0bbdm5bWvFzbwL2V6wA4e2gxRTWVRLVD1HGoUgHmhPLYmHY8UHEgwInlQ9guFmVszN3koLUmuXYNycq1mCVDWKcUG2uqyV/yCcGWFozWFlS8FdXawv9v796jqyrPxI9/9+Wcfa4JJCEh4RIIWOR+ES+AFad0pIidsU6r0oryw67WLm3FWmurXUXrjDjT1bVsZ1VsdYbRUkfWKDhUawEpYNUBBIsCIlAuApJwEkhykpz73u/vj31ySIADeIGEk+ez1ln7ZL/77OznhOQ8vPt9n5d4HJqb0RwbRo9F+/Z30YzT/wfFaWwivfIVjL272W14+f1XvoGjG3zhzdV8fs8OjJYodirF65dfxeuXXYVtmpi2TTUOh0wvyRP+/Ad0nWFBHyOyydNgv/Wpy5YI0V1JoiQ6STkOenbl+vMloxQftMVRqE4lCj6uVDxOfW0d4VSSAX4LXyZF4GMkSp8FpRS1zVEaXnoBs/Yj6Ncfp6ISp08FmtcDjiJmuxWYqzRFhceD7vdhhMLolg9lZ3Da2rDbWnCSKbdopKaheb3ofv9JPSZppWhT0OgomhNxUukMli9AczhMWNNwUknMeJyidIriTJqQBpppEFPuLbompREHbKWho3A0HUNT+DUIA8FsMcZar5+4pmG3tPBfuo8200P14QN8Y+nviJSWc6iyPwdqhnGwsj8t2V4zw3GY+fbrXPqX19yeOU0jc9HFxPtWkQ4X8Z9DR9Ps8VKdTnJttB5fqIgmYIkZJGYYhFJJbty4lpr6OkKVVRyoHsrGPlVsMq3cxEQPiqm6YoaWoZeTAdtG2Q6O5WOXx2JRCo4qd5DlNR4Yarizxkp1jbBGbj1DgKij2Ocogn9Zg7VuNS9dcz2bx0xEt21m/mUlE/7pq8SCYYb4ffTK9n4eSaZ4ZP9hGtIZxob8/F04QDhyhLimkQoECfl96F6L5Y1R3muNEzZ0vtqnhCEBi2qfr1PirTIZEvv3YTc3oZeU0KQg4ijSuOObHADlTjbwfrCd4v99AS2TRl16Bfqcb+Ut06AOf4R68pdQH8nt2zh1Ossv/TwAMzJxKkpKeLmplQbd/ff1ub07uW71y5Q0N6KCIY5NnsqBkePYU9ybnfHUSQO9fbrGsICfiwM+Sj3ubT9L1zptA7pO+BxUZT8dRyl3LcWMzQDr1JNKhDgTSZREt/BRIsnhZJrSj1FpuKOk49CScSi105TVfoQea0X3+897ogTuH+d9dXXUNzSgNNDQUZpbOBDdxGOa9A8F6BMIoFvWKa9POQ4qmcBJJLDjcezmZpxEDByFZlmdkiYnmcRpaSHl85Ms60M0ECKmuZXWSz0mRYaOlU7jJOLYsRgqlXJ7RDR3rFFc02hVkEARUm65Bctx0FHudWRsYq0tHPKHaPN6SSp4JuXe/jsV3XHoF6nlyytfoipSizJNEiPHEBgzjrKKSmrRiKBIOvA7zUdK0xjjpBkQDvJqWwoHqPJ6uK6sFxVeDwN9VqfilAnHYeOxZlbU1bMnW7rBRHGl5jDTMujlMXmzMcoSw03uQsAMD9QYUKlruUrcp9LgKA7YDr3XrERf/yZLv3QD744YB8Cl4SBTe4cI6gZDA+4kgv+qjbC6sYWArnNrZRkDLS8DTJ2MYdCUtmnIZIjbNn5doz6dwUCnr+VhkN86ZfVuOxYjuXcPSjnuEixKkcGd+ZZWbsKUUorW5mb0lijWM0+jOTaJq75A7J9moWsahgY67tZ4ZxPm4v9ESyVxQmHU5VNQI0dDcS9WpRVvZtwxair7foQNnZklRYyqPUhy00as996B6PE6S5rPh3/MeI5dNpl9/QfxQTLDB7E4badZz/BEwWzCVGQaFBnuNpzb6u7+Dm0nzog9UZvtlvo4knLXuIuk0kTSaSKpDPXpNHb2k8uraYwPB5hUHGZcOHDSzF4h8pFESXQLrRmbD2LxT7QOWKttk3IUlV4PlZYX1dpC4sP9AASGDT/viRKAbdskU0nQdNANlO4mJgr3Q+xU45xORzkOTqwNu7WVTGNjLmlC00DX8fTpg6esD7rlw1GKhKOw9NMstPtxvncmQ/poAy1H6jhoK1oDIVo1jd+n3A/wENBfZRhw+CAD391Ev93v402nUT4/rWMnoI8aS2VpGb3L+2AUFWPrOofiCSJJ9wPtuaPRTiNxRgf9XN2riFKvyUCfl0CeXsZMSwvbk2mWNbfyQdwdT2PgLgu0oy2ODfRRNtd6DWqyRRytM7wfSikOO4o6W1G28mX0TRt4Y8oXWDnpCyhgoOVlRmkRnwv4ac7YPPrhYTIKppcUcWWvMNU+q9MHe9JxaExnqE9naLNtig2DQX4f/tP8/DONx0js34eeTaRPeczRBrxDP0fb9q0cfeoJUArruq+gX3c9SUeRzmRQy1/EfO1VANJDh3H0C19CKyoi6LPwZWtaLU27JSA04LKiINNLinO9LsfSGSpNg5JDH9K6aQNtmzaS6TA7UfN6CYweR2DiZRwbPpoPbMXuWIJW2ybpqOzDyT4UMcc5zYir/KzsxICOCVXScYhkE6O2M5QxMDQI6m5Nt9w5NY3x4SBXFIcYHw6c9ZIzomeSREl0C45S7IolSDgORWe5bELScWizHUxNo7/lpdRjHh870txEpqEea1DNaSs2X4g6Jk0qmcQsLT2pUOO5YLe20lJby4fRKM0+P1Z2XFCRdnwGnnIcnP37SDQeIzlwMBW9iqgqK8PXq3engf4ZpTiUSHEklWJnLMEfjzajAdNKihgd8FHq9dDfZ531//p3tMVZGjnG1rbjY52GWh6mZxL0i7VQUVSEcZZV7dOOw8FEmoZEkrKd2/BcPII9A2t4/shREo4ibOh8pU9v3mxuZU88yQDLy/+rLKMm4Mt7vSnHoTljEzT0vIlfu47jlczevU/57zdztAHfRcMwi4ppem0FDYsXAVD2jdsIXz6Fuid/Rfz9bQCEv3Qdoa/cSLzxKPX1EZozinQgiM/Q8CrY0hZnUEU5A3oVd/oex9IZqrweqrITO5RSJPftofXtDbRu2kCmw608TJPAyDGELr2c4PhLMIKhk67ZydZ3asnYRG2baIdtS/v2hDb7LD91ik2D8uyyMeVeDxXZbbnHpMRjogH7E0nWN7fyf9kyCe0sTWNCUZBJRSHGhQNn7MESPY8kSqLbiKTS7I8nKDnFenHtlFLEs+N8vLpGL8Ok1Guect0w5TinXV5DfHwqk6GtoZ79kXqO2oqgxyTj2KQzNgoNNDBNg4DXy4DSUkryfNBD52TpSCqNX3fXwuvjMenvsz5RLa/dsQQvRI7h1zWuKSmmytDwRerI1Nejh8N5e2gAnFQKJx6HTJqU1+JQIEwiEKQ0HEYzdBpSaX5Xd5T6dCY3G9IAvtWvnEuLgmdMgD6O4+OVGtEsK7v2G4BCKSCTziVKAMf+90V3eRVwe+2izWiWRcXt3yF02RW589ptrUQP19IUbaLJHyLu9eBEWwj37483GMTUjvdCnpgodbo+pUgd2J9LmtJ1tccbDYPA8FEEJ15GaMKl7pqNn+Q9UIq443RIqJxcQuXRtGxC5NaI+ji30ZRS7Esk+b/mVtY3t1LfMWnSNS7J9jSNC3X/pMm9NZ5xZwWn05jy+XZOSKIkuo2E7fC3uNur1F6A0tQ0PNltItuN7zcMSkyD3h7zM/1wEmcv0dLC3sN1xNIp/JZF0O/DZ1l4vV68XgvL8uI5iw8ZO5csuTPkKi0PVZb3U90y/CiRJKPcc3nb6ykdqSNddxgME01zPyxx2heexR375fGgB0O5pVRipsm+eJK47WBo4NE1bKV4qb6RnTF3hNbne4WY3bfPWfeCfhxOPEby8GG3wGr78iRadqvreMorcuUklFI0PPcszavcW22eir70/d69WP0GnHRelcmQro+QiByhRSmaHYUzoBrb7yfjqNyg8ZRyGOyzTpkodTqfUqQ+OkTbJjdpSh06eLxR0/BfPILQxMsJXnIpZq/e+U/UBZRS7I0nWR91e5oaOiRNvmzSNKk4xJjzlDQpxwHHQdk2TjqN0xIl09SI3dyEHW0m09yMHW3GjkaxW1tw2lqx29pwYm1g2+jBEJ7ycjx9yjH7VODpU579ugKzpLTgetfPF0mURLeSyo5nSClFwraJZb/OKIWlaZR5PRSfxQBPce45tltR3fgEtbM6clerT+V6CT5tfR5HKTQ6F+RUSpE5dpRM4zE03XBvAxoG6Dq6YYBhoPsD7iD5Dq9rtW1itkPcdojZNinljrvZHG2jzVHc2reMcuv8j4E7FeU4NC5fih2NUvJPN2EEg6c93m6Jkqo9jB2L4asZghMKk1aKdPb3L+k4hA0jN8PvbKVqD+fGNCU/3He8QdPwXfS5bNJ0GZ7Ssk8S5llRjkOmoZ5UXS3pI7WkIxGUnXF75iDXO9exp85RigPBIv5aWsFfS8ppso6vXOBDMcFrcEXvXowr6YX3LMcYugm5m/hg2zipJJnmJuymJjf5ackmP81R7JZs8hNrw2lrw4nHjl/vZ8Ew8JSWufXz+lTkEipPeQVmnwqMQNetP9rdSaIkuj07+8fb8xkNThbik1DKTSBS2UHKpq7lKrRfqFQ6TaapEaO41ylrUX1a6cgRWjdtpHXTBpJ7/9apzaoZSmji5QTGjsMIhtA8XvcaTPO0BWJz164UdkuUdF0t6drDpI7Ukq6rI11X665BmMmc8Rz5OGh8VNmPrcNGs+1zo4gWHR+/ZSUTjPzoQ8YfO8IIO4WvV2/MklJ0nx8nEXcToWjU7flpbcFpbcXOJj8qedKK22ek+fwYwSB6MIgRCmOEizCKit1HcTFmcS+M4mKMUBgnHiddHyEdOUKm/kj2eYR0Q+SM78epe6PcbU/vjbqgEqUnnniCn//859TW1jJy5Egef/xxPv/5z5/xdZIoCSFE10ofbaBts5s0JXbvyt9bomloHq9bO8zryT1vT6Q0rxe7pcVd1igeO/U5AEwTb0VfPH0r8fSpcMd6Qa40Rvv3Iju2Lve9s187qRR2YyOppmPs00y2lFextWYY0fDxpMmXiDP8bzsYtWsbQ/bvwXRszkjT0ANBdxHoYMhdtihUhFFc5CY9RcUYxb0we/XKJbCaYbq3Xz9BT3rScTiSSFHX1EhtU5QjsRiRjEODphPTdcxUCjOdwsxkMO1M5237c8fG6/FgWRZenx9fIIAVDOELh7CKirF8Ft7sMAmPrrvDJRzbfX06hZFJu9tkCiOVREulcJJJVDqVfaRx0mlUyn2u0mlKb/z6OUneP4kLJlFasmQJs2fP5oknnmDKlCn85je/4emnn+b9999n4MCBp32tJEpCCNF9ZJoaadv8tps07duDSiY/2W0mTcMsLcPTtxJvRaWbFPWtxNu3ErO07DOfzJFJxPmgvoH1zW287Wg068d7WfypJBVNRzE0DUPXMQwDwzAwTQ+mx8T0eDC8XkyPB1M33GP07LHtda+ydbDcrzV0DUxNO14XS+uwpWO7ewexIX28ltSRVIZIOt1poeTuwjhVUnZCclZ08Qi8Xg8eTcertydh2W2H595sclZiGowMnZvbhxdMonT55ZczYcIEFi5cmNs3fPhwrr/+ehYsWHDa10qiJIQQ3ZdSKjuGJ5XtVXC3Tnbbvq+9XfcH8FS6PUVd1evgKMXOWIINza2sj7bS1A0TknYBXc+WTjBzpRPKsmUTvLqOo5Q7Pi07zCGdvcXsbm1SsTjJWBvJWIxkIkEymSKdTpFKZ0ijyBgmGdPMvzU9uaKm58rooJ8HB/c7J+c+2xyiS2/Ep1IpNm/ezI9+9KNO+6+55hreeuutk45PJpMkk8frBkej0XN+jUIIIT4ZTdPANN2JARfIoGJd0xgedNe6u7WyjN3xBE1pGxuFo9zyF45SZBQ4KGzljre0lcLGfX7m9uy+PO22chM2G4UCSs0Ta0m5X4fO4fgiJ5EgXR/BScTRLZ97y9SyslufO2kCsKFDEuYu45TJjvs7MTnL5J47nSYYZDo875jUpZXDoI+xkPu50qWJUkNDA7ZtU1FR0Wl/RUUFdXV1Jx2/YMECHn744fN1eUIIIXowXXPXuuuJdJ8Pa8Dph7+Am0SYhob7LhXmwPBuMRf7xJkQ7bV2TvTjH/+Y5ubm3OPgwYMnHSOEEEII8Vnp0h6lsrIyDMM4qfcoEomc1MsEYFkW1mkq8AohhBBCfJa6tEfJ6/VyySWXsGrVqk77V61axeTJk7voqoQQQgghXF1eVe373/8+s2fPZuLEiUyaNInf/va3HDhwgDvuuKOrL00IIYQQPVyXJ0o33XQTR48e5Wc/+xm1tbWMGjWKP/7xj1RXV3f1pQkhhBCih+vyOkqfhtRREkIIIcQncbY5RLeY9SaEEEII0R1JoiSEEEIIkYckSkIIIYQQeUiiJIQQQgiRhyRKQgghhBB5SKIkhBBCCJGHJEpCCCGEEHl0ecHJT6O9BFQ0Gu3iKxFCCCHEhaQ9dzhTOckLOlFqaWkBYMCAAV18JUIIIYS4ELW0tFBcXJy3/YKuzO04DocPHyYcDqNpWldfznkTjUYZMGAABw8e7HEVyXty7NCz45fYJXaJvWc51/ErpWhpaaGqqgpdzz8S6YLuUdJ1nf79+3f1ZXSZoqKiHvnLAz07dujZ8UvsEntP05Njh3Mb/+l6ktrJYG4hhBBCiDwkURJCCCGEyEMSpQuQZVnMnz8fy7K6+lLOu54cO/Ts+CV2ib2n6cmxQ/eJ/4IezC2EEEIIcS5Jj5IQQgghRB6SKAkhhBBC5CGJkhBCCCFEHpIoCSGEEELkIYlSN7VgwQIuvfRSwuEw5eXlXH/99ezcubPTMUopHnroIaqqqvD7/Vx99dVs3769i674s7Vw4ULGjBmTKzQ2adIkXn311Vx7Icfe0YIFC9A0jXnz5uX2FXLsDz30EJqmdXr07ds3117IsQN89NFH3HLLLZSWlhIIBBg3bhybN2/OtRdy/IMGDTrpZ69pGnfeeSdQ2LFnMhl+8pOfMHjwYPx+PzU1NfzsZz/DcZzcMYUcf0tLC/PmzaO6uhq/38/kyZN5++23c+1dHrsS3dL06dPVokWL1LZt29SWLVvUzJkz1cCBA1Vra2vumMcee0yFw2H14osvqq1bt6qbbrpJVVZWqmg02oVX/tlYvny5euWVV9TOnTvVzp071QMPPKA8Ho/atm2bUqqwY2+3ceNGNWjQIDVmzBh199135/YXcuzz589XI0eOVLW1tblHJBLJtRdy7MeOHVPV1dVqzpw5asOGDWrfvn3qtddeU3/7299yxxRy/JFIpNPPfdWqVQpQa9asUUoVduz//M//rEpLS9XLL7+s9u3bp/7nf/5HhUIh9fjjj+eOKeT4b7zxRjVixAi1bt06tXv3bjV//nxVVFSkDh06pJTq+tglUbpARCIRBah169YppZRyHEf17dtXPfbYY7ljEomEKi4uVk8++WRXXeY51bt3b/X000/3iNhbWlrURRddpFatWqWmTp2aS5QKPfb58+ersWPHnrKt0GO///771ZVXXpm3vdDjP9Hdd9+thgwZohzHKfjYZ86cqebOndtp3w033KBuueUWpVRh/+xjsZgyDEO9/PLLnfaPHTtWPfjgg90idrn1doFobm4GoKSkBIB9+/ZRV1fHNddckzvGsiymTp3KW2+91SXXeK7Yts3zzz9PW1sbkyZN6hGx33nnncycOZMvfvGLnfb3hNh3795NVVUVgwcP5uabb2bv3r1A4ce+fPlyJk6cyNe+9jXKy8sZP348Tz31VK690OPvKJVKsXjxYubOnYumaQUf+5VXXsnq1avZtWsXAO+++y5vvPEG1157LVDYP/tMJoNt2/h8vk77/X4/b7zxRreIXRKlC4BSiu9///tceeWVjBo1CoC6ujoAKioqOh1bUVGRa7vQbd26lVAohGVZ3HHHHSxbtowRI0YUfOzPP/8877zzDgsWLDiprdBjv/zyy3n22WdZsWIFTz31FHV1dUyePJmjR48WfOx79+5l4cKFXHTRRaxYsYI77riD733vezz77LNA4f/sO3rppZdoampizpw5QOHHfv/99zNr1iwuvvhiPB4P48ePZ968ecyaNQso7PjD4TCTJk3ikUce4fDhw9i2zeLFi9mwYQO1tbXdInbzvHwX8ancddddvPfee7zxxhsntWma1ulrpdRJ+y5Uw4YNY8uWLTQ1NfHiiy9y2223sW7dulx7IcZ+8OBB7r77blauXHnS/7A6KsTYAWbMmJF7Pnr0aCZNmsSQIUN45plnuOKKK4DCjd1xHCZOnMijjz4KwPjx49m+fTsLFy7k1ltvzR1XqPF39B//8R/MmDGDqqqqTvsLNfYlS5awePFinnvuOUaOHMmWLVuYN28eVVVV3HbbbbnjCjX+3/3ud8ydO5d+/fphGAYTJkzg61//Ou+8807umK6MXXqUurnvfve7LF++nDVr1tC/f//c/vaZQCdm1JFI5KTM+0Ll9XoZOnQoEydOZMGCBYwdO5Zf/vKXBR375s2biUQiXHLJJZimiWmarFu3jl/96leYppmLrxBjP5VgMMjo0aPZvXt3Qf/cASorKxkxYkSnfcOHD+fAgQNAz/idB/jwww957bXX+OY3v5nbV+ix33ffffzoRz/i5ptvZvTo0cyePZt77rkn16tc6PEPGTKEdevW0draysGDB9m4cSPpdJrBgwd3i9glUeqmlFLcddddLF26lD//+c8MHjy4U3v7P6BVq1bl9qVSKdatW8fkyZPP9+WeF0opkslkQcc+bdo0tm7dypYtW3KPiRMn8o1vfIMtW7ZQU1NTsLGfSjKZZMeOHVRWVhb0zx1gypQpJ5UA2bVrF9XV1UDP+Z1ftGgR5eXlzJw5M7ev0GOPxWLoeuePY8MwcuUBCj3+dsFgkMrKShobG1mxYgX/+I//2D1iPy9DxsXH9p3vfEcVFxertWvXdpoyG4vFcsc89thjqri4WC1dulRt3bpVzZo1q2Cmi/74xz9Wr7/+utq3b59677331AMPPKB0XVcrV65UShV27CfqOOtNqcKO/d5771Vr165Ve/fuVevXr1fXXXedCofDav/+/Uqpwo5948aNyjRN9S//8i9q9+7d6ve//70KBAJq8eLFuWMKOX6llLJtWw0cOFDdf//9J7UVcuy33Xab6tevX648wNKlS1VZWZn64Q9/mDumkOP/05/+pF599VW1d+9etXLlSjV27Fh12WWXqVQqpZTq+tglUeqmgFM+Fi1alDvGcRw1f/581bdvX2VZlrrqqqvU1q1bu+6iP0Nz585V1dXVyuv1qj59+qhp06blkiSlCjv2E52YKBVy7O31UTwej6qqqlI33HCD2r59e669kGNXSqk//OEPatSoUcqyLHXxxRer3/72t53aCz3+FStWKEDt3LnzpLZCjj0ajaq7775bDRw4UPl8PlVTU6MefPBBlUwmc8cUcvxLlixRNTU1yuv1qr59+6o777xTNTU15dq7OnZNKaXOT9+VEEIIIcSFRcYoCSGEEELkIYmSEEIIIUQekigJIYQQQuQhiZIQQgghRB6SKAkhhBBC5CGJkhBCCCFEHpIoCSGEEELkIYmSEEIIIUQekigJIcQZXH311cybN6+rL0MI0QUkURJCCCGEyEMSJSGEEEKIPCRREkJ0Ky+88AKjR4/G7/dTWlrKF7/4Rdra2pgzZw7XX389Dz/8MOXl5RQVFfHtb3+bVCqVe61Sin/7t3+jpqYGv9/P2LFjeeGFFzqd//333+faa68lFApRUVHB7NmzaWhoyLW3tbVx6623EgqFqKys5Be/+MV5i10I0f1IoiSE6DZqa2uZNWsWc+fOZceOHaxdu5YbbriB9rW7V69ezY4dO1izZg3//d//zbJly3j44Ydzr//JT37CokWLWLhwIdu3b+eee+7hlltuYd26dbnzT506lXHjxrFp0yb+9Kc/ceTIEW688cbcOe677z7WrFnDsmXLWLlyJWvXrmXz5s3n940QQnQbmmr/CySEEF3snXfe4ZJLLmH//v1UV1d3apszZw5/+MMfOHjwIIFAAIAnn3yS++67j+bmZuLxOGVlZfz5z39m0qRJudd985vfJBaL8dxzz/HTn/6UDRs2sGLFilz7oUOHGDBgADt37qSqqorS0lKeffZZbrrpJgCOHTtG//79+da3vsXjjz9+7t8EIUS3Ynb1BQghRLuxY8cybdo0Ro8ezfTp07nmmmv46le/Su/evXPt7UkSwKRJk2htbeXgwYNEIhESiQR///d/3+mcqVSK8ePHA7B582bWrFlDKBQ66Xvv2bOHeDxOKpXqlGiVlJQwbNiwcxGuEOICIImSEKLbMAyDVatW8dZbb7Fy5Ur+/d//nQcffJANGzac9nWapuE4DgCvvPIK/fr169RuWRYAjuPw5S9/mX/913896RyVlZXs3r37M4pECFEoJFESQnQrmqYxZcoUpkyZwk9/+lOqq6tZtmwZAO+++y7xeBy/3w/A+vXrCYVC9O/fn969e2NZFgcOHGDq1KmnPPeECRN48cUXGTRoEKZ58p+/oUOH4vF4WL9+PQMHDgSgsbGRXbt25T2nEKKwyWBuIUS3sWHDBh599FE2bdrEgQMHWLp0KfX19QwfPhxwb6PdfvvtvP/++7z66qvMnz+fu+66C13XCYfD/OAHP+Cee+7hmWeeYc+ePfz1r3/l17/+Nc888wwAd955J8eOHWPWrFls3LiRvXv3snLlSubOnYtt24RCIW6//Xbuu+8+Vq9ezbZt25gzZw66Ln8qheippEdJCNFtFBUV8frrr/P4448TjUaprq7mF7/4BTNmzGDJkiVMmzaNiy66iKuuuopkMsnNN9/MQw89lHv9I488Qnl5OQsWLGDv3r306tWLCRMm8MADDwBQVVXFm2++yf3338/06dNJJpNUV1fzpS99KZcM/fznP6e1tZV/+Id/IBwOc++999Lc3NwVb4cQohuQWW9CiAvCnDlzaGpq4qWXXurqSxFC9CDSnyyEEEIIkYckSkIIIYQQecitNyGEEEKIPKRHSQghhBAiD0mUhBBCCCHykERJCCGEECIPSZSEEEIIIfKQREkIIYQQIg9JlIQQQggh8pBESQghhBAiD0mUhBBCCCHy+P/BrHJ5lC0f4gAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Graph of litter_per_km and speed based on gas_type\n", + "plt.figure(figsize=(15,10))\n", + "ax1=plt.subplot(2,2,1)\n", + "sns.lineplot(data=dataset_2, x='speed', y='litter_per_km',hue='gas_type', palette='hls', ax=ax1)\n", + "plt.title('Litter per km and Speed based on Gas Type')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### We see that the faster the speed, the less fuel is used per km and also at the speed around 20-25 and below, the fuel usage for both gas type show peaks . In addition,we see that SP98 has a high 95% confidence interval especially around 20-25 km/h" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Graph of litter_per_km and speed based on gas_type for different conditions\n", + "plt.figure(figsize=(15,10))\n", + "\n", + "# Graph when AC = 1\n", + "ax1=plt.subplot(2,2,1)\n", + "sns.lineplot(data=dataset_2[dataset_2['AC'] == 1], x='speed', y='litter_per_km',hue='gas_type', palette='hls', ax=ax1)\n", + "plt.title('Litter per km and Speed based on Gas Type when AC is on')\n", + "\n", + "# Graph when rain = 1\n", + "ax2=plt.subplot(2,2,2)\n", + "sns.lineplot(data=dataset_2[dataset_2['rain'] == 1], x='speed', y='litter_per_km',hue='gas_type', palette='hls', ax=ax2)\n", + "plt.title('Litter per km and Speed based on Gas Type when its Raining')\n", + "\n", + "# Graph when sun = 1\n", + "ax3=plt.subplot(2,2,3)\n", + "sns.lineplot(data=dataset_2[dataset_2['sun'] == 1], x='speed', y='litter_per_km',hue='gas_type', palette='hls', ax=ax3)\n", + "plt.title('Litter per km and Speed based on Gas Type when its Sunny')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### When examing the same graph under special conditions, we can see that at the speed around 20-25, we see that SP98 used a lot more fuel, especially when the AC is on or when it is raining" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Distribution of Time Spent on Driving based on Gas Type')" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Graph comparing distribution of time spent on driving based on gas_type\n", + "plt.figure(figsize=(15,10))\n", + "ax1=plt.subplot(2,2,1)\n", + "sns.histplot(data=dataset_2, x='time_spent', hue='gas_type', palette='hls', kde=True, ax=ax1)\n", + "plt.title('Distribution of Time Spent on Driving based on Gas Type')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### We see that overall, the time_spent distribution of both gas types are similar, however, SP98 has been used more frequently and used more in longer trip" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Hypothesis Testing:\n", + "Do you have any hypothesis? P-val threshold: 0.05" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(0.8815135946749462, 0.37858846826220593)" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Hypothesis Testing: two fuel type have the same average litter per km\n", + "# Null Hypothesis: two fuel type have the same average litter per km\n", + "# Alternative Hypothesis: two fuel type have different average litter per km\n", + "from scipy.stats import ttest_ind\n", + "stat,pval = ttest_ind(dataset_2[dataset_2['gas_type'] == 'SP98']['litter_per_km'], dataset_2[dataset_2['gas_type'] == 'E10']['litter_per_km'])\n", + "stat,pval" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### P-val in this hypo testing is over the threshold, so we can say that two fuel type have the same litter per km consumption. " + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "T-statistic: 2.9700468919143677, P-value: 0.0015818037782433327\n" + ] + } + ], + "source": [ + "# 2nd Hypothesis Testing: the temperature difference between inside and outside has an effect on the average consume\n", + "# Null Hypothesis: the temperature difference < 0 have the same consume with temperature difference >= 0\n", + "# Alternative Hypothesis: the temperature difference < 0 have higher consume with temperature difference >= 0\n", + "# Perform the t-test\n", + "stat, pval = ttest_ind(\n", + " dataset_2[dataset_2['temp_diff'] < 0]['consume'],\n", + " dataset_2[dataset_2['temp_diff'] >= 0]['consume'],\n", + " alternative='greater'\n", + ")\n", + "\n", + "# Output the results\n", + "print(f'T-statistic: {stat}, P-value: {pval}')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### P-val in this hypo-testing is 0.001, under the threshold, so therefore we can say that the temperature difference between inside and outside has affect on fuel consume and the temperature difference < 0 has higher consumption of fuel" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "T-statistic: 8.845942929501952, P-value: 1.6470755044802488e-17\n" + ] + } + ], + "source": [ + "# 3rd Hypothesis Testing: the speed has an effect on the average litter_per_km\n", + "# Null Hypothesis: the speed < 30 have the same litter_per_km with speed >= 30\n", + "# Alternative Hypothesis: the speed < 30 have higher litter_per_km with speed >= 30\n", + "# Perform the t-test\n", + "stat, pval = ttest_ind(\n", + " dataset_2[dataset_2['speed'] < 30]['litter_per_km'],\n", + " dataset_2[dataset_2['speed'] >= 30]['litter_per_km'],\n", + " alternative='greater'\n", + ") \n", + "# Output the results\n", + "print(f'T-statistic: {stat}, P-value: {pval}')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### P-val in this hypo-testing is 1.6470755044802488e-17, under the threshold, so therefore we can say that in low speed (<30km/h) there is a greater fuel consumption litter_per_km" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "T-statistic: 2.1799472423001354, P-value: 0.01493249207664086\n" + ] + } + ], + "source": [ + "# 4th Hypothesis Testing: the distance has an effect on the average litter_per_km\n", + "# Null Hypothesis: the distance < 50 have the same litter_per_km with distance >= 50\n", + "# Alternative Hypothesis: the distance < 50 have higher litter_per_km with distance >= 50\n", + "# Perform the t-test\n", + "stat, pval = ttest_ind(\n", + " dataset_2[dataset_2['distance'] < 50]['litter_per_km'],\n", + " dataset_2[dataset_2['distance'] >= 50]['litter_per_km'],\n", + " alternative='greater'\n", + ")\n", + "# Output the results\n", + "print(f'T-statistic: {stat}, P-value: {pval}')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### P-val in this hypo-testing is 0.01493249207664086, under the threshold, so therefore we can say that the fuel consumption rate is higher for smaller distance." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Conclusion\n", + "- Rain/AC:\n", + " - When it rains or AC on,both type consume more.\n", + "- DISTANCE:\n", + " - The car consume greatly when the distance is less than 50km\n", + " - And when the distance rise, the consume rate become rather stable.\n", + "- SPEED:\n", + " -The car consume greatly when the speed is less than about 20km/h.\n", + " -And when the speed rise, the consume decrease and become more stable\n", + "- Temp_diff/Temp_outside:\n", + " - The car consume more when the Temp_outside is low (temp_outside is lower than temp_inside: temp_diff<0).\n", + " - Not enough evidence to prove the difference sensitive to temp between gas types." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.3" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/Regression.ipynb b/Regression.ipynb new file mode 100644 index 0000000..9eda47a --- /dev/null +++ b/Regression.ipynb @@ -0,0 +1,1761 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: seaborn in /Users/hoangleduc/ironhack/ih-labs/env/lib/python3.12/site-packages (0.13.2)\n", + "Requirement already satisfied: matplotlib in /Users/hoangleduc/ironhack/ih-labs/env/lib/python3.12/site-packages (3.8.4)\n", + "Requirement already satisfied: numpy!=1.24.0,>=1.20 in /Users/hoangleduc/ironhack/ih-labs/env/lib/python3.12/site-packages (from seaborn) (1.26.4)\n", + "Requirement already satisfied: pandas>=1.2 in /Users/hoangleduc/ironhack/ih-labs/env/lib/python3.12/site-packages (from seaborn) (2.2.1)\n", + "Requirement already satisfied: contourpy>=1.0.1 in /Users/hoangleduc/ironhack/ih-labs/env/lib/python3.12/site-packages (from matplotlib) (1.2.0)\n", + "Requirement already satisfied: cycler>=0.10 in /Users/hoangleduc/ironhack/ih-labs/env/lib/python3.12/site-packages (from matplotlib) (0.11.0)\n", + "Requirement already satisfied: fonttools>=4.22.0 in /Users/hoangleduc/ironhack/ih-labs/env/lib/python3.12/site-packages (from matplotlib) (4.51.0)\n", + "Requirement already satisfied: kiwisolver>=1.3.1 in /Users/hoangleduc/ironhack/ih-labs/env/lib/python3.12/site-packages (from matplotlib) (1.4.4)\n", + "Requirement already satisfied: packaging>=20.0 in /Users/hoangleduc/ironhack/ih-labs/env/lib/python3.12/site-packages (from matplotlib) (23.2)\n", + "Requirement already satisfied: pillow>=8 in /Users/hoangleduc/ironhack/ih-labs/env/lib/python3.12/site-packages (from matplotlib) (10.3.0)\n", + "Requirement already satisfied: pyparsing>=2.3.1 in /Users/hoangleduc/ironhack/ih-labs/env/lib/python3.12/site-packages (from matplotlib) (3.0.9)\n", + "Requirement already satisfied: python-dateutil>=2.7 in /Users/hoangleduc/ironhack/ih-labs/env/lib/python3.12/site-packages (from matplotlib) (2.8.2)\n", + "Requirement already satisfied: pytz>=2020.1 in /Users/hoangleduc/ironhack/ih-labs/env/lib/python3.12/site-packages (from pandas>=1.2->seaborn) (2024.1)\n", + "Requirement already satisfied: tzdata>=2022.7 in /Users/hoangleduc/ironhack/ih-labs/env/lib/python3.12/site-packages (from pandas>=1.2->seaborn) (2023.3)\n", + "Requirement already satisfied: six>=1.5 in /Users/hoangleduc/ironhack/ih-labs/env/lib/python3.12/site-packages (from python-dateutil>=2.7->matplotlib) (1.16.0)\n", + "Note: you may need to restart the kernel to use updated packages.\n" + ] + } + ], + "source": [ + "# %pip uninstall seaborn matplotliby\n", + "%pip install seaborn matplotlib" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "from sklearn.preprocessing import MinMaxScaler\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.linear_model import LinearRegression\n", + "from sklearn.ensemble import BaggingRegressor, RandomForestRegressor,AdaBoostRegressor, GradientBoostingRegressor\n", + "from sklearn.metrics import r2_score, mean_absolute_error, mean_squared_error\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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distanceconsumespeedtemp_insidetemp_outsidetemp_diffACrainsunsnowgas_typelitter_per_kmtime_spent
028.05.02621.512-9.50000E100.1785711.076923
112.04.23021.513-8.50000E100.3500000.400000
211.25.53821.515-6.50000E100.4910710.294737
312.93.93621.514-7.50000E100.3023260.358333
418.54.54621.515-6.50000E100.2432430.402174
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" + ], + "text/plain": [ + " distance consume speed temp_inside temp_outside temp_diff AC rain \\\n", + "0 28.0 5.0 26 21.5 12 -9.5 0 0 \n", + "1 12.0 4.2 30 21.5 13 -8.5 0 0 \n", + "2 11.2 5.5 38 21.5 15 -6.5 0 0 \n", + "3 12.9 3.9 36 21.5 14 -7.5 0 0 \n", + "4 18.5 4.5 46 21.5 15 -6.5 0 0 \n", + "\n", + " sun snow gas_type litter_per_km time_spent \n", + "0 0 0 E10 0.178571 1.076923 \n", + "1 0 0 E10 0.350000 0.400000 \n", + "2 0 0 E10 0.491071 0.294737 \n", + "3 0 0 E10 0.302326 0.358333 \n", + "4 0 0 E10 0.243243 0.402174 " + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data = pd.read_csv('data/cleaned_data.csv')\n", + "data.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "# explod the gas_type columnn\n", + "data = pd.get_dummies(data, columns=['gas_type'], drop_first=True)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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distanceconsumespeedtemp_insidetemp_outsidetemp_diffACrainsunsnowlitter_per_kmtime_spentgas_type_SP98
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211.25.53821.515-6.500000.4910710.2947370
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" + ], + "text/plain": [ + " distance consume speed temp_inside temp_outside temp_diff AC rain \\\n", + "0 28.0 5.0 26 21.5 12 -9.5 0 0 \n", + "1 12.0 4.2 30 21.5 13 -8.5 0 0 \n", + "2 11.2 5.5 38 21.5 15 -6.5 0 0 \n", + "3 12.9 3.9 36 21.5 14 -7.5 0 0 \n", + "4 18.5 4.5 46 21.5 15 -6.5 0 0 \n", + "\n", + " sun snow litter_per_km time_spent gas_type_SP98 \n", + "0 0 0 0.178571 1.076923 0 \n", + "1 0 0 0.350000 0.400000 0 \n", + "2 0 0 0.491071 0.294737 0 \n", + "3 0 0 0.302326 0.358333 0 \n", + "4 0 0 0.243243 0.402174 0 " + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Convert the gas_type_SP98 as int type\n", + "data['gas_type_SP98'] = data['gas_type_SP98'].astype(int)\n", + "data.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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distanceconsumespeedtemp_insidetemp_outsidetemp_diffACrainsunsnowlitter_per_kmtime_spentgas_type_SP98
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temp_inside0.077636-0.1549530.0600391.0000000.3574310.2241080.300407-0.0351990.2389540.098230-0.1205250.0695880.005771
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rain-0.0197910.2481180.009489-0.035199-0.186315-0.1891790.2429151.000000-0.0864970.2716330.090824-0.0273000.060328
sun0.089808-0.1702000.0818950.2389540.3389670.3181380.084694-0.0864971.000000-0.031118-0.0627190.0736590.030185
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litter_per_km-0.2563570.779053-0.355459-0.120525-0.080493-0.0660520.0506220.090824-0.062719-0.0018071.000000-0.3249200.044823
time_spent0.884942-0.1778250.2450610.0695880.1071790.101481-0.009260-0.0273000.073659-0.056517-0.3249201.000000-0.040415
gas_type_SP98-0.053411-0.015327-0.0973600.0057710.1487050.1543140.1052850.0603280.0301850.0336650.044823-0.0404151.000000
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" + ], + "text/plain": [ + " distance consume speed temp_inside temp_outside \\\n", + "distance 1.000000 -0.128967 0.562299 0.077636 0.088175 \n", + "consume -0.128967 1.000000 -0.227866 -0.154953 -0.320811 \n", + "speed 0.562299 -0.227866 1.000000 0.060039 0.015411 \n", + "temp_inside 0.077636 -0.154953 0.060039 1.000000 0.357431 \n", + "temp_outside 0.088175 -0.320811 0.015411 0.357431 1.000000 \n", + "temp_diff 0.080453 -0.311697 0.007143 0.224108 0.990287 \n", + "AC -0.025738 0.096591 -0.035408 0.300407 0.167562 \n", + "rain -0.019791 0.248118 0.009489 -0.035199 -0.186315 \n", + "sun 0.089808 -0.170200 0.081895 0.238954 0.338967 \n", + "snow -0.033712 0.072961 0.032481 0.098230 -0.162367 \n", + "litter_per_km -0.256357 0.779053 -0.355459 -0.120525 -0.080493 \n", + "time_spent 0.884942 -0.177825 0.245061 0.069588 0.107179 \n", + "gas_type_SP98 -0.053411 -0.015327 -0.097360 0.005771 0.148705 \n", + "\n", + " temp_diff AC rain sun snow \\\n", + "distance 0.080453 -0.025738 -0.019791 0.089808 -0.033712 \n", + "consume -0.311697 0.096591 0.248118 -0.170200 0.072961 \n", + "speed 0.007143 -0.035408 0.009489 0.081895 0.032481 \n", + "temp_inside 0.224108 0.300407 -0.035199 0.238954 0.098230 \n", + "temp_outside 0.990287 0.167562 -0.186315 0.338967 -0.162367 \n", + "temp_diff 1.000000 0.130129 -0.189179 0.318138 -0.184053 \n", + "AC 0.130129 1.000000 0.242915 0.084694 0.065984 \n", + "rain -0.189179 0.242915 1.000000 -0.086497 0.271633 \n", + "sun 0.318138 0.084694 -0.086497 1.000000 -0.031118 \n", + "snow -0.184053 0.065984 0.271633 -0.031118 1.000000 \n", + "litter_per_km -0.066052 0.050622 0.090824 -0.062719 -0.001807 \n", + "time_spent 0.101481 -0.009260 -0.027300 0.073659 -0.056517 \n", + "gas_type_SP98 0.154314 0.105285 0.060328 0.030185 0.033665 \n", + "\n", + " litter_per_km time_spent gas_type_SP98 \n", + "distance -0.256357 0.884942 -0.053411 \n", + "consume 0.779053 -0.177825 -0.015327 \n", + "speed -0.355459 0.245061 -0.097360 \n", + "temp_inside -0.120525 0.069588 0.005771 \n", + "temp_outside -0.080493 0.107179 0.148705 \n", + "temp_diff -0.066052 0.101481 0.154314 \n", + "AC 0.050622 -0.009260 0.105285 \n", + "rain 0.090824 -0.027300 0.060328 \n", + "sun -0.062719 0.073659 0.030185 \n", + "snow -0.001807 -0.056517 0.033665 \n", + "litter_per_km 1.000000 -0.324920 0.044823 \n", + "time_spent -0.324920 1.000000 -0.040415 \n", + "gas_type_SP98 0.044823 -0.040415 1.000000 " + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "corr = data.corr()\n", + "corr" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "# import seaborn as sns\n", + "# import matplotlib.pyplot as plt\n", + "# corr=np.abs(data.corr())\n", + "\n", + "# #Set up mask for triangle representation\n", + "# mask = np.zeros_like(corr, dtype=bool)\n", + "# mask[np.triu_indices_from(mask)] = True\n", + "\n", + "# # Set up the matplotlib figure\n", + "# f, ax = plt.subplots(figsize=(20, 15))\n", + "# # Generate a custom diverging colormap\n", + "# cmap = sns.diverging_palette(220, 10, as_cmap=True)\n", + "# # Draw the heatmap with the mask and correct aspect ratio\n", + "# sns.heatmap(corr, mask=mask, vmax=1,square=True, linewidths=.5, cbar_kws={\"shrink\": .5},annot = corr)\n", + "\n", + "# plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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distanceconsumespeedtemp_insidetemp_diffACrainsunsnowlitter_per_kmgas_type_SP98
028.05.02621.5-9.500000.1785710
112.04.23021.5-8.500000.3500000
211.25.53821.5-6.500000.4910710
312.93.93621.5-7.500000.3023260
418.54.54621.5-6.500000.2432430
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" + ], + "text/plain": [ + " distance consume speed temp_inside temp_diff AC rain sun snow \\\n", + "0 28.0 5.0 26 21.5 -9.5 0 0 0 0 \n", + "1 12.0 4.2 30 21.5 -8.5 0 0 0 0 \n", + "2 11.2 5.5 38 21.5 -6.5 0 0 0 0 \n", + "3 12.9 3.9 36 21.5 -7.5 0 0 0 0 \n", + "4 18.5 4.5 46 21.5 -6.5 0 0 0 0 \n", + "\n", + " litter_per_km gas_type_SP98 \n", + "0 0.178571 0 \n", + "1 0.350000 0 \n", + "2 0.491071 0 \n", + "3 0.302326 0 \n", + "4 0.243243 0 " + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Because we are using consume as our target, we can drop the columns that have a high Multicollinearity \n", + "data = data.drop(columns=['temp_outside','time_spent'])\n", + "data.head()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "# Train Test Split\n", + "X = data.drop(columns=['consume'])\n", + "y = data['consume']\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.20, random_state=0)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
MinMaxScaler()
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" + ], + "text/plain": [ + "MinMaxScaler()" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from sklearn.preprocessing import MinMaxScaler\n", + "scaler = MinMaxScaler()\n", + "scaler.fit(X_train)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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distancespeedtemp_insidetemp_diffACrainsunsnowlitter_per_kmgas_type_SP98
00.1263990.2763160.4615380.5588240.00.01.00.00.0175231.0
10.0471080.1315790.3846150.3382350.00.00.00.00.0617421.0
20.0149250.1578950.3846150.2500000.00.00.00.00.2025150.0
30.0447760.3157890.4615380.6176470.00.00.00.00.0562551.0
40.0116600.1578950.3846150.2794120.00.00.00.00.2218641.0
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" + ], + "text/plain": [ + " distance speed temp_inside temp_diff AC rain sun snow \\\n", + "0 0.126399 0.276316 0.461538 0.558824 0.0 0.0 1.0 0.0 \n", + "1 0.047108 0.131579 0.384615 0.338235 0.0 0.0 0.0 0.0 \n", + "2 0.014925 0.157895 0.384615 0.250000 0.0 0.0 0.0 0.0 \n", + "3 0.044776 0.315789 0.461538 0.617647 0.0 0.0 0.0 0.0 \n", + "4 0.011660 0.157895 0.384615 0.279412 0.0 0.0 0.0 0.0 \n", + "\n", + " litter_per_km gas_type_SP98 \n", + "0 0.017523 1.0 \n", + "1 0.061742 1.0 \n", + "2 0.202515 0.0 \n", + "3 0.056255 1.0 \n", + "4 0.221864 1.0 " + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "X_train_scaled = scaler.transform(X_train)\n", + "\n", + "X_test_scaled = scaler.transform(X_test)\n", + "\n", + "X_train_scaled = pd.DataFrame(X_train_scaled, columns = X_train.columns)\n", + "X_train_scaled.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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distancespeedtemp_insidetemp_diffACrainsunsnowlitter_per_kmgas_type_SP98
00.0205220.1842110.3846150.3676470.00.00.00.00.1619131.0
10.0471080.3157890.6153850.0882350.01.00.01.00.0577251.0
20.0111940.1315790.5384620.4852940.00.00.00.00.2042450.0
30.1814370.3947370.3076920.2352940.00.00.00.00.0132500.0
40.0666980.3421050.4615380.3529410.00.00.00.00.0336541.0
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" + ], + "text/plain": [ + " distance speed temp_inside temp_diff AC rain sun snow \\\n", + "0 0.020522 0.184211 0.384615 0.367647 0.0 0.0 0.0 0.0 \n", + "1 0.047108 0.315789 0.615385 0.088235 0.0 1.0 0.0 1.0 \n", + "2 0.011194 0.131579 0.538462 0.485294 0.0 0.0 0.0 0.0 \n", + "3 0.181437 0.394737 0.307692 0.235294 0.0 0.0 0.0 0.0 \n", + "4 0.066698 0.342105 0.461538 0.352941 0.0 0.0 0.0 0.0 \n", + "\n", + " litter_per_km gas_type_SP98 \n", + "0 0.161913 1.0 \n", + "1 0.057725 1.0 \n", + "2 0.204245 0.0 \n", + "3 0.013250 0.0 \n", + "4 0.033654 1.0 " + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "X_test_scaled = pd.DataFrame(X_test_scaled, columns = X_test.columns)\n", + "X_test_scaled.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "MAE 0.566794871794872\n", + "RMSE 0.9807447457979354\n", + "R2 score 0.44279167952101817\n" + ] + } + ], + "source": [ + "# K Nearest Neighbors Test for scaled data\n", + "\n", + "# Import necessary libraries\n", + "from sklearn.neighbors import KNeighborsRegressor\n", + "from sklearn.metrics import mean_absolute_error\n", + "\n", + "# Define our KNN regressor, using 10 neighbors\n", + "knnregress = KNeighborsRegressor(n_neighbors=10)\n", + "\n", + "# Fit KNN to scaled data\n", + "knnregress.fit(X_train_scaled, y_train)\n", + "pred = knnregress.predict(X_test_scaled)\n", + "\n", + "# Test model's performance\n", + "print(\"MAE\", mean_absolute_error(pred, y_test))\n", + "print(\"RMSE\", mean_squared_error(pred, y_test, squared=False))\n", + "print(\"R2 score\", knnregress.score(X_test_scaled, y_test))" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "MAE 0.43607136619531783\n", + "RMSE 0.6073161995630046\n", + "R2 score 0.7863340373066566\n" + ] + } + ], + "source": [ + "# linear regression\n", + "# import packages and measure\n", + "from sklearn.linear_model import LinearRegression\n", + "from sklearn.metrics import r2_score, mean_absolute_error, mean_squared_error\n", + "\n", + "# define linear regression model\n", + "lin_reg = LinearRegression()\n", + "\n", + "# fits data to a linear regression\n", + "lin_reg.fit(X_train_scaled, y_train)\n", + "\n", + "pred = lin_reg.predict(X_test_scaled)\n", + "\n", + "print(\"MAE\", mean_absolute_error(pred, y_test))\n", + "print(\"RMSE\", mean_squared_error(pred, y_test, squared=False))\n", + "print(\"R2 score\", lin_reg.score(X_test_scaled, y_test))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "MAE 0.48511574074074076\n", + "RMSE 0.9793169518299687\n", + "R2 score 0.44441289558180364\n" + ] + } + ], + "source": [ + "# Decision Tree\n", + "# Import package\n", + "from sklearn.tree import DecisionTreeRegressor\n", + "\n", + "tree = DecisionTreeRegressor(max_depth=10)\n", + "\n", + "# fit data to tree model\n", + "tree.fit(X_train_scaled, y_train)\n", + "\n", + "pred = tree.predict(X_test_scaled)\n", + "\n", + "print(\"MAE\", mean_absolute_error(pred, y_test))\n", + "print(\"RMSE\", mean_squared_error(pred, y_test, squared=False))\n", + "print(\"R2 score\", tree.score(X_test_scaled, y_test))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "MAE 0.2841025641025644\n", + "RMSE 0.4652586267266733\n", + "R2 score 0.8746008820941737\n" + ] + } + ], + "source": [ + "# Random Patches\n", + "# Initialize Random Forest\n", + "forest = RandomForestRegressor(n_estimators=100,\n", + " max_depth=20)\n", + "\n", + "# Train model\n", + "forest.fit(X_train_scaled, y_train)\n", + "\n", + "# Set predictor\n", + "pred = forest.predict(X_test_scaled)\n", + "\n", + "# Evaluate Model\n", + "print(\"MAE\", mean_absolute_error(pred, y_test))\n", + "print(\"RMSE\", mean_squared_error(pred, y_test, squared=False))\n", + "print(\"R2 score\", forest.score(X_test_scaled, y_test))" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "MAE 0.32179487179487165\n", + "RMSE 0.5888929204828934\n", + "R2 score 0.7991007666906617\n" + ] + } + ], + "source": [ + "# AdaBoost\n", + "# Initialize AdaBoost model\n", + "ada_reg = AdaBoostRegressor(DecisionTreeRegressor(max_depth=20),\n", + " n_estimators=100)\n", + "\n", + "# Train Model 1\n", + "ada_reg.fit(X_train_scaled, y_train)\n", + "\n", + "# Set predictor\n", + "pred = ada_reg.predict(X_test_scaled)\n", + "print(\"MAE\", mean_absolute_error(pred, y_test))\n", + "print(\"RMSE\", mean_squared_error(pred, y_test, squared=False))\n", + "print(\"R2 score\", ada_reg.score(X_test_scaled, y_test))\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Look like that Random Patches has the best R2 result with \n", + "- MAE 0.2841025641025644\n", + "- RMSE 0.4652586267266733\n", + "- R2 score 0.8746008820941737" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "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": "3.12.3" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/data/cleaned_data.csv b/data/cleaned_data.csv new file mode 100644 index 0000000..c404a4a --- /dev/null +++ b/data/cleaned_data.csv @@ -0,0 +1,389 @@ 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