1466 lines
132 KiB
Plaintext
1466 lines
132 KiB
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 36,
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"id": "ed58a8f0",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Defaulting to user installation because normal site-packages is not writeable\n",
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"Requirement already satisfied: kaggle in /home/witek/.local/lib/python3.10/site-packages (1.5.13)\n",
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"Requirement already satisfied: python-slugify in /home/witek/.local/lib/python3.10/site-packages (from kaggle) (8.0.1)\n",
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"Requirement already satisfied: requests in /usr/lib/python3/dist-packages (from kaggle) (2.25.1)\n",
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"Requirement already satisfied: certifi in /usr/lib/python3/dist-packages (from kaggle) (2020.6.20)\n",
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"Requirement already satisfied: six>=1.10 in /usr/lib/python3/dist-packages (from kaggle) (1.16.0)\n",
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"Requirement already satisfied: python-dateutil in /home/witek/.local/lib/python3.10/site-packages (from kaggle) (2.8.2)\n",
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"Requirement already satisfied: urllib3 in /usr/lib/python3/dist-packages (from kaggle) (1.26.5)\n",
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"Requirement already satisfied: tqdm in /home/witek/.local/lib/python3.10/site-packages (from kaggle) (4.65.0)\n",
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"Requirement already satisfied: text-unidecode>=1.3 in /home/witek/.local/lib/python3.10/site-packages (from python-slugify->kaggle) (1.3)\n",
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"Defaulting to user installation because normal site-packages is not writeable\n",
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"Requirement already satisfied: pandas in /home/witek/.local/lib/python3.10/site-packages (1.5.3)\n",
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"Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3/dist-packages (from pandas) (2022.1)\n",
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"Requirement already satisfied: python-dateutil>=2.8.1 in /home/witek/.local/lib/python3.10/site-packages (from pandas) (2.8.2)\n",
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"Requirement already satisfied: numpy>=1.21.0 in /home/witek/.local/lib/python3.10/site-packages (from pandas) (1.24.2)\n",
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"Requirement already satisfied: six>=1.5 in /usr/lib/python3/dist-packages (from python-dateutil>=2.8.1->pandas) (1.16.0)\n",
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"Defaulting to user installation because normal site-packages is not writeable\n",
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"Requirement already satisfied: unzip in /home/witek/.local/lib/python3.10/site-packages (1.0.0)\n",
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"Defaulting to user installation because normal site-packages is not writeable\n",
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"Requirement already satisfied: scikit-learn in /home/witek/.local/lib/python3.10/site-packages (1.2.2)\n",
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"Requirement already satisfied: joblib>=1.1.1 in /home/witek/.local/lib/python3.10/site-packages (from scikit-learn) (1.2.0)\n",
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"Requirement already satisfied: scipy>=1.3.2 in /home/witek/.local/lib/python3.10/site-packages (from scikit-learn) (1.10.1)\n",
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"Requirement already satisfied: numpy>=1.17.3 in /home/witek/.local/lib/python3.10/site-packages (from scikit-learn) (1.24.2)\n",
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"Requirement already satisfied: threadpoolctl>=2.0.0 in /home/witek/.local/lib/python3.10/site-packages (from scikit-learn) (3.1.0)\n",
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"Defaulting to user installation because normal site-packages is not writeable\n",
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"Requirement already satisfied: seaborn in /home/witek/.local/lib/python3.10/site-packages (0.12.2)\n",
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"Requirement already satisfied: pandas>=0.25 in /home/witek/.local/lib/python3.10/site-packages (from seaborn) (1.5.3)\n",
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"Requirement already satisfied: matplotlib!=3.6.1,>=3.1 in /home/witek/.local/lib/python3.10/site-packages (from seaborn) (3.7.1)\n",
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"Requirement already satisfied: numpy!=1.24.0,>=1.17 in /home/witek/.local/lib/python3.10/site-packages (from seaborn) (1.24.2)\n",
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"Requirement already satisfied: contourpy>=1.0.1 in /home/witek/.local/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (1.0.7)\n",
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"Requirement already satisfied: kiwisolver>=1.0.1 in /home/witek/.local/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (1.4.4)\n",
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"Requirement already satisfied: pyparsing>=2.3.1 in /usr/lib/python3/dist-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (2.4.7)\n",
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"Requirement already satisfied: cycler>=0.10 in /home/witek/.local/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (0.11.0)\n",
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"Requirement already satisfied: python-dateutil>=2.7 in /home/witek/.local/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (2.8.2)\n",
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"Requirement already satisfied: pillow>=6.2.0 in /usr/lib/python3/dist-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (9.0.1)\n",
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"Requirement already satisfied: packaging>=20.0 in /home/witek/.local/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (23.0)\n",
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"Requirement already satisfied: fonttools>=4.22.0 in /home/witek/.local/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (4.39.2)\n",
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"Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3/dist-packages (from pandas>=0.25->seaborn) (2022.1)\n",
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"Requirement already satisfied: six>=1.5 in /usr/lib/python3/dist-packages (from python-dateutil>=2.7->matplotlib!=3.6.1,>=3.1->seaborn) (1.16.0)\n"
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]
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}
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],
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"source": [
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"#Pobieranie odpowiednich bibliotek\n",
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"!pip install kaggle\n",
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"!pip install pandas\n",
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"!pip install unzip\n",
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"!pip install scikit-learn\n",
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"!pip install seaborn"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "79101aff",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Warning: Your Kaggle API key is readable by other users on this system! To fix this, you can run 'chmod 600 /home/witek/.kaggle/kaggle.json'\n",
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"Downloading bike-sales-in-europe.zip to /home/witek/python-ws\n",
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" 0%| | 0.00/1.15M [00:00<?, ?B/s]\n",
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"100%|██████████████████████████████████████| 1.15M/1.15M [00:00<00:00, 18.2MB/s]\n"
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]
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}
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],
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"source": [
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"!kaggle datasets download -d sadiqshah/bike-sales-in-europe\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 41,
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"id": "82f1ce24",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Archive: bike-sales-in-europe.zip\n",
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" inflating: Sales.csv \n"
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]
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}
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],
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"source": [
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"!unzip -o bike-sales-in-europe.zip\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 61,
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"id": "f547e6a3",
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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"import seaborn as sns"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 43,
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"id": "e6a01b12",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>Date</th>\n",
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" <th>Day</th>\n",
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" <th>Month</th>\n",
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" <th>Year</th>\n",
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" <th>Customer_Age</th>\n",
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" <th>Age_Group</th>\n",
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" <th>Customer_Gender</th>\n",
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" <th>Country</th>\n",
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" <th>State</th>\n",
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" <th>Product_Category</th>\n",
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" <th>Sub_Category</th>\n",
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" <th>Product</th>\n",
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" <th>Order_Quantity</th>\n",
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" <th>Unit_Cost</th>\n",
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" <th>Unit_Price</th>\n",
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" <th>Profit</th>\n",
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" <th>Cost</th>\n",
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" <th>Revenue</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>2013-11-26</td>\n",
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" <td>26</td>\n",
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" <td>November</td>\n",
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" <td>2013</td>\n",
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" <td>19</td>\n",
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" <td>Youth (<25)</td>\n",
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" <td>M</td>\n",
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" <td>Canada</td>\n",
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" <td>British Columbia</td>\n",
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" <td>Accessories</td>\n",
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" <td>Bike Racks</td>\n",
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" <td>Hitch Rack - 4-Bike</td>\n",
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" <td>8</td>\n",
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" <td>45</td>\n",
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" <td>120</td>\n",
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" <td>590</td>\n",
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" <td>360</td>\n",
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" <td>950</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>2015-11-26</td>\n",
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" <td>26</td>\n",
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" <td>November</td>\n",
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" <td>2015</td>\n",
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" <td>19</td>\n",
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" <td>Youth (<25)</td>\n",
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" <td>M</td>\n",
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" <td>Canada</td>\n",
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" <td>British Columbia</td>\n",
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" <td>Accessories</td>\n",
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" <td>Bike Racks</td>\n",
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" <td>Hitch Rack - 4-Bike</td>\n",
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" <td>8</td>\n",
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" <td>45</td>\n",
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" <td>120</td>\n",
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|||
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" <td>590</td>\n",
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|||
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" <td>360</td>\n",
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|||
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" <td>950</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>2014-03-23</td>\n",
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" <td>23</td>\n",
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|||
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" <td>March</td>\n",
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" <td>2014</td>\n",
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|||
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" <td>49</td>\n",
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|||
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" <td>Adults (35-64)</td>\n",
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" <td>M</td>\n",
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|||
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" <td>Australia</td>\n",
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|||
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" <td>New South Wales</td>\n",
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" <td>Accessories</td>\n",
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|||
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" <td>Bike Racks</td>\n",
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|||
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" <td>Hitch Rack - 4-Bike</td>\n",
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|||
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" <td>23</td>\n",
|
|||
|
|
" <td>45</td>\n",
|
|||
|
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" <td>120</td>\n",
|
|||
|
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" <td>1366</td>\n",
|
|||
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" <td>1035</td>\n",
|
|||
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" <td>2401</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>2016-03-23</td>\n",
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" <td>23</td>\n",
|
|||
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" <td>March</td>\n",
|
|||
|
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" <td>2016</td>\n",
|
|||
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" <td>49</td>\n",
|
|||
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" <td>Adults (35-64)</td>\n",
|
|||
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" <td>M</td>\n",
|
|||
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" <td>Australia</td>\n",
|
|||
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" <td>New South Wales</td>\n",
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|||
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" <td>Accessories</td>\n",
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" <td>Bike Racks</td>\n",
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|||
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" <td>Hitch Rack - 4-Bike</td>\n",
|
|||
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" <td>20</td>\n",
|
|||
|
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" <td>45</td>\n",
|
|||
|
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" <td>120</td>\n",
|
|||
|
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" <td>1188</td>\n",
|
|||
|
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" <td>900</td>\n",
|
|||
|
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" <td>2088</td>\n",
|
|||
|
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" </tr>\n",
|
|||
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" <tr>\n",
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|||
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" <th>4</th>\n",
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|||
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" <td>2014-05-15</td>\n",
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|||
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" <td>15</td>\n",
|
|||
|
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" <td>May</td>\n",
|
|||
|
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" <td>2014</td>\n",
|
|||
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" <td>47</td>\n",
|
|||
|
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" <td>Adults (35-64)</td>\n",
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|||
|
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" <td>F</td>\n",
|
|||
|
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" <td>Australia</td>\n",
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|||
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" <td>New South Wales</td>\n",
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|||
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" <td>Accessories</td>\n",
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" <td>Bike Racks</td>\n",
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|||
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" <td>Hitch Rack - 4-Bike</td>\n",
|
|||
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" <td>4</td>\n",
|
|||
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" <td>45</td>\n",
|
|||
|
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" <td>120</td>\n",
|
|||
|
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" <td>238</td>\n",
|
|||
|
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" <td>180</td>\n",
|
|||
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" <td>418</td>\n",
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" </tr>\n",
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|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>113031</th>\n",
|
|||
|
|
" <td>2016-04-12</td>\n",
|
|||
|
|
" <td>12</td>\n",
|
|||
|
|
" <td>April</td>\n",
|
|||
|
|
" <td>2016</td>\n",
|
|||
|
|
" <td>41</td>\n",
|
|||
|
|
" <td>Adults (35-64)</td>\n",
|
|||
|
|
" <td>M</td>\n",
|
|||
|
|
" <td>United Kingdom</td>\n",
|
|||
|
|
" <td>England</td>\n",
|
|||
|
|
" <td>Clothing</td>\n",
|
|||
|
|
" <td>Vests</td>\n",
|
|||
|
|
" <td>Classic Vest, S</td>\n",
|
|||
|
|
" <td>3</td>\n",
|
|||
|
|
" <td>24</td>\n",
|
|||
|
|
" <td>64</td>\n",
|
|||
|
|
" <td>112</td>\n",
|
|||
|
|
" <td>72</td>\n",
|
|||
|
|
" <td>184</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>113032</th>\n",
|
|||
|
|
" <td>2014-04-02</td>\n",
|
|||
|
|
" <td>2</td>\n",
|
|||
|
|
" <td>April</td>\n",
|
|||
|
|
" <td>2014</td>\n",
|
|||
|
|
" <td>18</td>\n",
|
|||
|
|
" <td>Youth (<25)</td>\n",
|
|||
|
|
" <td>M</td>\n",
|
|||
|
|
" <td>Australia</td>\n",
|
|||
|
|
" <td>Queensland</td>\n",
|
|||
|
|
" <td>Clothing</td>\n",
|
|||
|
|
" <td>Vests</td>\n",
|
|||
|
|
" <td>Classic Vest, M</td>\n",
|
|||
|
|
" <td>22</td>\n",
|
|||
|
|
" <td>24</td>\n",
|
|||
|
|
" <td>64</td>\n",
|
|||
|
|
" <td>655</td>\n",
|
|||
|
|
" <td>528</td>\n",
|
|||
|
|
" <td>1183</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>113033</th>\n",
|
|||
|
|
" <td>2016-04-02</td>\n",
|
|||
|
|
" <td>2</td>\n",
|
|||
|
|
" <td>April</td>\n",
|
|||
|
|
" <td>2016</td>\n",
|
|||
|
|
" <td>18</td>\n",
|
|||
|
|
" <td>Youth (<25)</td>\n",
|
|||
|
|
" <td>M</td>\n",
|
|||
|
|
" <td>Australia</td>\n",
|
|||
|
|
" <td>Queensland</td>\n",
|
|||
|
|
" <td>Clothing</td>\n",
|
|||
|
|
" <td>Vests</td>\n",
|
|||
|
|
" <td>Classic Vest, M</td>\n",
|
|||
|
|
" <td>22</td>\n",
|
|||
|
|
" <td>24</td>\n",
|
|||
|
|
" <td>64</td>\n",
|
|||
|
|
" <td>655</td>\n",
|
|||
|
|
" <td>528</td>\n",
|
|||
|
|
" <td>1183</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>113034</th>\n",
|
|||
|
|
" <td>2014-03-04</td>\n",
|
|||
|
|
" <td>4</td>\n",
|
|||
|
|
" <td>March</td>\n",
|
|||
|
|
" <td>2014</td>\n",
|
|||
|
|
" <td>37</td>\n",
|
|||
|
|
" <td>Adults (35-64)</td>\n",
|
|||
|
|
" <td>F</td>\n",
|
|||
|
|
" <td>France</td>\n",
|
|||
|
|
" <td>Seine (Paris)</td>\n",
|
|||
|
|
" <td>Clothing</td>\n",
|
|||
|
|
" <td>Vests</td>\n",
|
|||
|
|
" <td>Classic Vest, L</td>\n",
|
|||
|
|
" <td>24</td>\n",
|
|||
|
|
" <td>24</td>\n",
|
|||
|
|
" <td>64</td>\n",
|
|||
|
|
" <td>684</td>\n",
|
|||
|
|
" <td>576</td>\n",
|
|||
|
|
" <td>1260</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>113035</th>\n",
|
|||
|
|
" <td>2016-03-04</td>\n",
|
|||
|
|
" <td>4</td>\n",
|
|||
|
|
" <td>March</td>\n",
|
|||
|
|
" <td>2016</td>\n",
|
|||
|
|
" <td>37</td>\n",
|
|||
|
|
" <td>Adults (35-64)</td>\n",
|
|||
|
|
" <td>F</td>\n",
|
|||
|
|
" <td>France</td>\n",
|
|||
|
|
" <td>Seine (Paris)</td>\n",
|
|||
|
|
" <td>Clothing</td>\n",
|
|||
|
|
" <td>Vests</td>\n",
|
|||
|
|
" <td>Classic Vest, L</td>\n",
|
|||
|
|
" <td>23</td>\n",
|
|||
|
|
" <td>24</td>\n",
|
|||
|
|
" <td>64</td>\n",
|
|||
|
|
" <td>655</td>\n",
|
|||
|
|
" <td>552</td>\n",
|
|||
|
|
" <td>1207</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
"</table>\n",
|
|||
|
|
"<p>113036 rows × 18 columns</p>\n",
|
|||
|
|
"</div>"
|
|||
|
|
],
|
|||
|
|
"text/plain": [
|
|||
|
|
" Date Day Month Year Customer_Age Age_Group \\\n",
|
|||
|
|
"0 2013-11-26 26 November 2013 19 Youth (<25) \n",
|
|||
|
|
"1 2015-11-26 26 November 2015 19 Youth (<25) \n",
|
|||
|
|
"2 2014-03-23 23 March 2014 49 Adults (35-64) \n",
|
|||
|
|
"3 2016-03-23 23 March 2016 49 Adults (35-64) \n",
|
|||
|
|
"4 2014-05-15 15 May 2014 47 Adults (35-64) \n",
|
|||
|
|
"... ... ... ... ... ... ... \n",
|
|||
|
|
"113031 2016-04-12 12 April 2016 41 Adults (35-64) \n",
|
|||
|
|
"113032 2014-04-02 2 April 2014 18 Youth (<25) \n",
|
|||
|
|
"113033 2016-04-02 2 April 2016 18 Youth (<25) \n",
|
|||
|
|
"113034 2014-03-04 4 March 2014 37 Adults (35-64) \n",
|
|||
|
|
"113035 2016-03-04 4 March 2016 37 Adults (35-64) \n",
|
|||
|
|
"\n",
|
|||
|
|
" Customer_Gender Country State Product_Category \\\n",
|
|||
|
|
"0 M Canada British Columbia Accessories \n",
|
|||
|
|
"1 M Canada British Columbia Accessories \n",
|
|||
|
|
"2 M Australia New South Wales Accessories \n",
|
|||
|
|
"3 M Australia New South Wales Accessories \n",
|
|||
|
|
"4 F Australia New South Wales Accessories \n",
|
|||
|
|
"... ... ... ... ... \n",
|
|||
|
|
"113031 M United Kingdom England Clothing \n",
|
|||
|
|
"113032 M Australia Queensland Clothing \n",
|
|||
|
|
"113033 M Australia Queensland Clothing \n",
|
|||
|
|
"113034 F France Seine (Paris) Clothing \n",
|
|||
|
|
"113035 F France Seine (Paris) Clothing \n",
|
|||
|
|
"\n",
|
|||
|
|
" Sub_Category Product Order_Quantity Unit_Cost \\\n",
|
|||
|
|
"0 Bike Racks Hitch Rack - 4-Bike 8 45 \n",
|
|||
|
|
"1 Bike Racks Hitch Rack - 4-Bike 8 45 \n",
|
|||
|
|
"2 Bike Racks Hitch Rack - 4-Bike 23 45 \n",
|
|||
|
|
"3 Bike Racks Hitch Rack - 4-Bike 20 45 \n",
|
|||
|
|
"4 Bike Racks Hitch Rack - 4-Bike 4 45 \n",
|
|||
|
|
"... ... ... ... ... \n",
|
|||
|
|
"113031 Vests Classic Vest, S 3 24 \n",
|
|||
|
|
"113032 Vests Classic Vest, M 22 24 \n",
|
|||
|
|
"113033 Vests Classic Vest, M 22 24 \n",
|
|||
|
|
"113034 Vests Classic Vest, L 24 24 \n",
|
|||
|
|
"113035 Vests Classic Vest, L 23 24 \n",
|
|||
|
|
"\n",
|
|||
|
|
" Unit_Price Profit Cost Revenue \n",
|
|||
|
|
"0 120 590 360 950 \n",
|
|||
|
|
"1 120 590 360 950 \n",
|
|||
|
|
"2 120 1366 1035 2401 \n",
|
|||
|
|
"3 120 1188 900 2088 \n",
|
|||
|
|
"4 120 238 180 418 \n",
|
|||
|
|
"... ... ... ... ... \n",
|
|||
|
|
"113031 64 112 72 184 \n",
|
|||
|
|
"113032 64 655 528 1183 \n",
|
|||
|
|
"113033 64 655 528 1183 \n",
|
|||
|
|
"113034 64 684 576 1260 \n",
|
|||
|
|
"113035 64 655 552 1207 \n",
|
|||
|
|
"\n",
|
|||
|
|
"[113036 rows x 18 columns]"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 43,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"bikes = pd.read_csv('Sales.csv')\n",
|
|||
|
|
"bikes"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 17,
|
|||
|
|
"id": "07609710",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"Date 0\n",
|
|||
|
|
"Day 0\n",
|
|||
|
|
"Month 0\n",
|
|||
|
|
"Year 0\n",
|
|||
|
|
"Customer_Age 0\n",
|
|||
|
|
"Age_Group 0\n",
|
|||
|
|
"Customer_Gender 0\n",
|
|||
|
|
"Country 0\n",
|
|||
|
|
"State 0\n",
|
|||
|
|
"Product_Category 0\n",
|
|||
|
|
"Sub_Category 0\n",
|
|||
|
|
"Product 0\n",
|
|||
|
|
"Order_Quantity 0\n",
|
|||
|
|
"Unit_Cost 0\n",
|
|||
|
|
"Unit_Price 0\n",
|
|||
|
|
"Profit 0\n",
|
|||
|
|
"Cost 0\n",
|
|||
|
|
"Revenue 0\n",
|
|||
|
|
"dtype: int64"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 17,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"bikes.isnull().sum()\n",
|
|||
|
|
"#Zbiór jest już wyczyszczony z artefaktów"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 56,
|
|||
|
|
"id": "8ce77456",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [],
|
|||
|
|
"source": [
|
|||
|
|
"#Normalizacja danych poprzez ustawienie małych liter w zbiorze\n",
|
|||
|
|
"bikes['Month'] = bikes['Month'].str.lower()\n",
|
|||
|
|
"bikes['Age_Group'] = bikes['Age_Group'].str.lower()\n",
|
|||
|
|
"bikes['Country'] = bikes['Country'].str.lower()\n",
|
|||
|
|
"bikes['State'] = bikes['State'].str.lower()\n",
|
|||
|
|
"bikes['Product_Category'] = bikes['Product_Category'].str.lower()\n",
|
|||
|
|
"bikes['Sub_Category'] = bikes['Sub_Category'].str.lower()\n",
|
|||
|
|
"bikes['Product'] = bikes['Product'].str.lower()\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 57,
|
|||
|
|
"id": "5d3e05c8",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [],
|
|||
|
|
"source": [
|
|||
|
|
"#Podział na zbiory\n",
|
|||
|
|
"from sklearn.model_selection import train_test_split\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 58,
|
|||
|
|
"id": "0897b7b6",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [],
|
|||
|
|
"source": [
|
|||
|
|
"bikes_train, bikes_test = train_test_split(bikes, test_size=0.2, random_state=1)"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 59,
|
|||
|
|
"id": "60d4cafa",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/html": [
|
|||
|
|
"<div>\n",
|
|||
|
|
"<style scoped>\n",
|
|||
|
|
" .dataframe tbody tr th:only-of-type {\n",
|
|||
|
|
" vertical-align: middle;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"\n",
|
|||
|
|
" .dataframe tbody tr th {\n",
|
|||
|
|
" vertical-align: top;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"\n",
|
|||
|
|
" .dataframe thead th {\n",
|
|||
|
|
" text-align: right;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"</style>\n",
|
|||
|
|
"<table border=\"1\" class=\"dataframe\">\n",
|
|||
|
|
" <thead>\n",
|
|||
|
|
" <tr style=\"text-align: right;\">\n",
|
|||
|
|
" <th></th>\n",
|
|||
|
|
" <th>Date</th>\n",
|
|||
|
|
" <th>Day</th>\n",
|
|||
|
|
" <th>Month</th>\n",
|
|||
|
|
" <th>Year</th>\n",
|
|||
|
|
" <th>Customer_Age</th>\n",
|
|||
|
|
" <th>Age_Group</th>\n",
|
|||
|
|
" <th>Customer_Gender</th>\n",
|
|||
|
|
" <th>Country</th>\n",
|
|||
|
|
" <th>State</th>\n",
|
|||
|
|
" <th>Product_Category</th>\n",
|
|||
|
|
" <th>Sub_Category</th>\n",
|
|||
|
|
" <th>Product</th>\n",
|
|||
|
|
" <th>Order_Quantity</th>\n",
|
|||
|
|
" <th>Unit_Cost</th>\n",
|
|||
|
|
" <th>Unit_Price</th>\n",
|
|||
|
|
" <th>Profit</th>\n",
|
|||
|
|
" <th>Cost</th>\n",
|
|||
|
|
" <th>Revenue</th>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </thead>\n",
|
|||
|
|
" <tbody>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>31242</th>\n",
|
|||
|
|
" <td>2013-09-02</td>\n",
|
|||
|
|
" <td>2</td>\n",
|
|||
|
|
" <td>september</td>\n",
|
|||
|
|
" <td>2013</td>\n",
|
|||
|
|
" <td>25</td>\n",
|
|||
|
|
" <td>young adults (25-34)</td>\n",
|
|||
|
|
" <td>F</td>\n",
|
|||
|
|
" <td>australia</td>\n",
|
|||
|
|
" <td>queensland</td>\n",
|
|||
|
|
" <td>accessories</td>\n",
|
|||
|
|
" <td>helmets</td>\n",
|
|||
|
|
" <td>sport-100 helmet, red</td>\n",
|
|||
|
|
" <td>11</td>\n",
|
|||
|
|
" <td>13</td>\n",
|
|||
|
|
" <td>35</td>\n",
|
|||
|
|
" <td>180</td>\n",
|
|||
|
|
" <td>143</td>\n",
|
|||
|
|
" <td>323</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>76421</th>\n",
|
|||
|
|
" <td>2015-10-06</td>\n",
|
|||
|
|
" <td>6</td>\n",
|
|||
|
|
" <td>october</td>\n",
|
|||
|
|
" <td>2015</td>\n",
|
|||
|
|
" <td>29</td>\n",
|
|||
|
|
" <td>young adults (25-34)</td>\n",
|
|||
|
|
" <td>M</td>\n",
|
|||
|
|
" <td>australia</td>\n",
|
|||
|
|
" <td>queensland</td>\n",
|
|||
|
|
" <td>accessories</td>\n",
|
|||
|
|
" <td>tires and tubes</td>\n",
|
|||
|
|
" <td>ll mountain tire</td>\n",
|
|||
|
|
" <td>30</td>\n",
|
|||
|
|
" <td>9</td>\n",
|
|||
|
|
" <td>25</td>\n",
|
|||
|
|
" <td>360</td>\n",
|
|||
|
|
" <td>270</td>\n",
|
|||
|
|
" <td>630</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>63417</th>\n",
|
|||
|
|
" <td>2016-05-04</td>\n",
|
|||
|
|
" <td>4</td>\n",
|
|||
|
|
" <td>may</td>\n",
|
|||
|
|
" <td>2016</td>\n",
|
|||
|
|
" <td>44</td>\n",
|
|||
|
|
" <td>adults (35-64)</td>\n",
|
|||
|
|
" <td>F</td>\n",
|
|||
|
|
" <td>united states</td>\n",
|
|||
|
|
" <td>oregon</td>\n",
|
|||
|
|
" <td>bikes</td>\n",
|
|||
|
|
" <td>road bikes</td>\n",
|
|||
|
|
" <td>road-750 black, 44</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>344</td>\n",
|
|||
|
|
" <td>540</td>\n",
|
|||
|
|
" <td>120</td>\n",
|
|||
|
|
" <td>344</td>\n",
|
|||
|
|
" <td>464</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>13214</th>\n",
|
|||
|
|
" <td>2013-11-23</td>\n",
|
|||
|
|
" <td>23</td>\n",
|
|||
|
|
" <td>november</td>\n",
|
|||
|
|
" <td>2013</td>\n",
|
|||
|
|
" <td>42</td>\n",
|
|||
|
|
" <td>adults (35-64)</td>\n",
|
|||
|
|
" <td>F</td>\n",
|
|||
|
|
" <td>united states</td>\n",
|
|||
|
|
" <td>washington</td>\n",
|
|||
|
|
" <td>accessories</td>\n",
|
|||
|
|
" <td>bottles and cages</td>\n",
|
|||
|
|
" <td>mountain bottle cage</td>\n",
|
|||
|
|
" <td>29</td>\n",
|
|||
|
|
" <td>4</td>\n",
|
|||
|
|
" <td>10</td>\n",
|
|||
|
|
" <td>110</td>\n",
|
|||
|
|
" <td>116</td>\n",
|
|||
|
|
" <td>226</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>17882</th>\n",
|
|||
|
|
" <td>2013-12-25</td>\n",
|
|||
|
|
" <td>25</td>\n",
|
|||
|
|
" <td>december</td>\n",
|
|||
|
|
" <td>2013</td>\n",
|
|||
|
|
" <td>46</td>\n",
|
|||
|
|
" <td>adults (35-64)</td>\n",
|
|||
|
|
" <td>F</td>\n",
|
|||
|
|
" <td>germany</td>\n",
|
|||
|
|
" <td>nordrhein-westfalen</td>\n",
|
|||
|
|
" <td>clothing</td>\n",
|
|||
|
|
" <td>caps</td>\n",
|
|||
|
|
" <td>awc logo cap</td>\n",
|
|||
|
|
" <td>19</td>\n",
|
|||
|
|
" <td>7</td>\n",
|
|||
|
|
" <td>9</td>\n",
|
|||
|
|
" <td>16</td>\n",
|
|||
|
|
" <td>133</td>\n",
|
|||
|
|
" <td>149</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>...</th>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>36385</th>\n",
|
|||
|
|
" <td>2016-06-29</td>\n",
|
|||
|
|
" <td>29</td>\n",
|
|||
|
|
" <td>june</td>\n",
|
|||
|
|
" <td>2016</td>\n",
|
|||
|
|
" <td>40</td>\n",
|
|||
|
|
" <td>adults (35-64)</td>\n",
|
|||
|
|
" <td>F</td>\n",
|
|||
|
|
" <td>australia</td>\n",
|
|||
|
|
" <td>new south wales</td>\n",
|
|||
|
|
" <td>accessories</td>\n",
|
|||
|
|
" <td>helmets</td>\n",
|
|||
|
|
" <td>sport-100 helmet, red</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>13</td>\n",
|
|||
|
|
" <td>35</td>\n",
|
|||
|
|
" <td>17</td>\n",
|
|||
|
|
" <td>13</td>\n",
|
|||
|
|
" <td>30</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>11506</th>\n",
|
|||
|
|
" <td>2014-03-04</td>\n",
|
|||
|
|
" <td>4</td>\n",
|
|||
|
|
" <td>march</td>\n",
|
|||
|
|
" <td>2014</td>\n",
|
|||
|
|
" <td>44</td>\n",
|
|||
|
|
" <td>adults (35-64)</td>\n",
|
|||
|
|
" <td>F</td>\n",
|
|||
|
|
" <td>united states</td>\n",
|
|||
|
|
" <td>california</td>\n",
|
|||
|
|
" <td>accessories</td>\n",
|
|||
|
|
" <td>bottles and cages</td>\n",
|
|||
|
|
" <td>water bottle - 30 oz.</td>\n",
|
|||
|
|
" <td>20</td>\n",
|
|||
|
|
" <td>2</td>\n",
|
|||
|
|
" <td>5</td>\n",
|
|||
|
|
" <td>58</td>\n",
|
|||
|
|
" <td>40</td>\n",
|
|||
|
|
" <td>98</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>52187</th>\n",
|
|||
|
|
" <td>2015-12-18</td>\n",
|
|||
|
|
" <td>18</td>\n",
|
|||
|
|
" <td>december</td>\n",
|
|||
|
|
" <td>2015</td>\n",
|
|||
|
|
" <td>23</td>\n",
|
|||
|
|
" <td>youth (<25)</td>\n",
|
|||
|
|
" <td>M</td>\n",
|
|||
|
|
" <td>united kingdom</td>\n",
|
|||
|
|
" <td>england</td>\n",
|
|||
|
|
" <td>bikes</td>\n",
|
|||
|
|
" <td>mountain bikes</td>\n",
|
|||
|
|
" <td>mountain-400-w silver, 46</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>420</td>\n",
|
|||
|
|
" <td>769</td>\n",
|
|||
|
|
" <td>318</td>\n",
|
|||
|
|
" <td>420</td>\n",
|
|||
|
|
" <td>738</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>83391</th>\n",
|
|||
|
|
" <td>2015-12-12</td>\n",
|
|||
|
|
" <td>12</td>\n",
|
|||
|
|
" <td>december</td>\n",
|
|||
|
|
" <td>2015</td>\n",
|
|||
|
|
" <td>26</td>\n",
|
|||
|
|
" <td>young adults (25-34)</td>\n",
|
|||
|
|
" <td>F</td>\n",
|
|||
|
|
" <td>australia</td>\n",
|
|||
|
|
" <td>victoria</td>\n",
|
|||
|
|
" <td>accessories</td>\n",
|
|||
|
|
" <td>tires and tubes</td>\n",
|
|||
|
|
" <td>ml road tire</td>\n",
|
|||
|
|
" <td>22</td>\n",
|
|||
|
|
" <td>9</td>\n",
|
|||
|
|
" <td>25</td>\n",
|
|||
|
|
" <td>237</td>\n",
|
|||
|
|
" <td>198</td>\n",
|
|||
|
|
" <td>435</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>112433</th>\n",
|
|||
|
|
" <td>2015-09-17</td>\n",
|
|||
|
|
" <td>17</td>\n",
|
|||
|
|
" <td>september</td>\n",
|
|||
|
|
" <td>2015</td>\n",
|
|||
|
|
" <td>32</td>\n",
|
|||
|
|
" <td>young adults (25-34)</td>\n",
|
|||
|
|
" <td>M</td>\n",
|
|||
|
|
" <td>germany</td>\n",
|
|||
|
|
" <td>hamburg</td>\n",
|
|||
|
|
" <td>clothing</td>\n",
|
|||
|
|
" <td>vests</td>\n",
|
|||
|
|
" <td>classic vest, l</td>\n",
|
|||
|
|
" <td>31</td>\n",
|
|||
|
|
" <td>24</td>\n",
|
|||
|
|
" <td>64</td>\n",
|
|||
|
|
" <td>1101</td>\n",
|
|||
|
|
" <td>744</td>\n",
|
|||
|
|
" <td>1845</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
"</table>\n",
|
|||
|
|
"<p>22608 rows × 18 columns</p>\n",
|
|||
|
|
"</div>"
|
|||
|
|
],
|
|||
|
|
"text/plain": [
|
|||
|
|
" Date Day Month Year Customer_Age Age_Group \\\n",
|
|||
|
|
"31242 2013-09-02 2 september 2013 25 young adults (25-34) \n",
|
|||
|
|
"76421 2015-10-06 6 october 2015 29 young adults (25-34) \n",
|
|||
|
|
"63417 2016-05-04 4 may 2016 44 adults (35-64) \n",
|
|||
|
|
"13214 2013-11-23 23 november 2013 42 adults (35-64) \n",
|
|||
|
|
"17882 2013-12-25 25 december 2013 46 adults (35-64) \n",
|
|||
|
|
"... ... ... ... ... ... ... \n",
|
|||
|
|
"36385 2016-06-29 29 june 2016 40 adults (35-64) \n",
|
|||
|
|
"11506 2014-03-04 4 march 2014 44 adults (35-64) \n",
|
|||
|
|
"52187 2015-12-18 18 december 2015 23 youth (<25) \n",
|
|||
|
|
"83391 2015-12-12 12 december 2015 26 young adults (25-34) \n",
|
|||
|
|
"112433 2015-09-17 17 september 2015 32 young adults (25-34) \n",
|
|||
|
|
"\n",
|
|||
|
|
" Customer_Gender Country State Product_Category \\\n",
|
|||
|
|
"31242 F australia queensland accessories \n",
|
|||
|
|
"76421 M australia queensland accessories \n",
|
|||
|
|
"63417 F united states oregon bikes \n",
|
|||
|
|
"13214 F united states washington accessories \n",
|
|||
|
|
"17882 F germany nordrhein-westfalen clothing \n",
|
|||
|
|
"... ... ... ... ... \n",
|
|||
|
|
"36385 F australia new south wales accessories \n",
|
|||
|
|
"11506 F united states california accessories \n",
|
|||
|
|
"52187 M united kingdom england bikes \n",
|
|||
|
|
"83391 F australia victoria accessories \n",
|
|||
|
|
"112433 M germany hamburg clothing \n",
|
|||
|
|
"\n",
|
|||
|
|
" Sub_Category Product Order_Quantity \\\n",
|
|||
|
|
"31242 helmets sport-100 helmet, red 11 \n",
|
|||
|
|
"76421 tires and tubes ll mountain tire 30 \n",
|
|||
|
|
"63417 road bikes road-750 black, 44 1 \n",
|
|||
|
|
"13214 bottles and cages mountain bottle cage 29 \n",
|
|||
|
|
"17882 caps awc logo cap 19 \n",
|
|||
|
|
"... ... ... ... \n",
|
|||
|
|
"36385 helmets sport-100 helmet, red 1 \n",
|
|||
|
|
"11506 bottles and cages water bottle - 30 oz. 20 \n",
|
|||
|
|
"52187 mountain bikes mountain-400-w silver, 46 1 \n",
|
|||
|
|
"83391 tires and tubes ml road tire 22 \n",
|
|||
|
|
"112433 vests classic vest, l 31 \n",
|
|||
|
|
"\n",
|
|||
|
|
" Unit_Cost Unit_Price Profit Cost Revenue \n",
|
|||
|
|
"31242 13 35 180 143 323 \n",
|
|||
|
|
"76421 9 25 360 270 630 \n",
|
|||
|
|
"63417 344 540 120 344 464 \n",
|
|||
|
|
"13214 4 10 110 116 226 \n",
|
|||
|
|
"17882 7 9 16 133 149 \n",
|
|||
|
|
"... ... ... ... ... ... \n",
|
|||
|
|
"36385 13 35 17 13 30 \n",
|
|||
|
|
"11506 2 5 58 40 98 \n",
|
|||
|
|
"52187 420 769 318 420 738 \n",
|
|||
|
|
"83391 9 25 237 198 435 \n",
|
|||
|
|
"112433 24 64 1101 744 1845 \n",
|
|||
|
|
"\n",
|
|||
|
|
"[22608 rows x 18 columns]"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 59,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"bikes_test"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 63,
|
|||
|
|
"id": "8782204a",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/html": [
|
|||
|
|
"<div>\n",
|
|||
|
|
"<style scoped>\n",
|
|||
|
|
" .dataframe tbody tr th:only-of-type {\n",
|
|||
|
|
" vertical-align: middle;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"\n",
|
|||
|
|
" .dataframe tbody tr th {\n",
|
|||
|
|
" vertical-align: top;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"\n",
|
|||
|
|
" .dataframe thead th {\n",
|
|||
|
|
" text-align: right;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"</style>\n",
|
|||
|
|
"<table border=\"1\" class=\"dataframe\">\n",
|
|||
|
|
" <thead>\n",
|
|||
|
|
" <tr style=\"text-align: right;\">\n",
|
|||
|
|
" <th></th>\n",
|
|||
|
|
" <th>Date</th>\n",
|
|||
|
|
" <th>Day</th>\n",
|
|||
|
|
" <th>Month</th>\n",
|
|||
|
|
" <th>Year</th>\n",
|
|||
|
|
" <th>Customer_Age</th>\n",
|
|||
|
|
" <th>Age_Group</th>\n",
|
|||
|
|
" <th>Customer_Gender</th>\n",
|
|||
|
|
" <th>Country</th>\n",
|
|||
|
|
" <th>State</th>\n",
|
|||
|
|
" <th>Product_Category</th>\n",
|
|||
|
|
" <th>Sub_Category</th>\n",
|
|||
|
|
" <th>Product</th>\n",
|
|||
|
|
" <th>Order_Quantity</th>\n",
|
|||
|
|
" <th>Unit_Cost</th>\n",
|
|||
|
|
" <th>Unit_Price</th>\n",
|
|||
|
|
" <th>Profit</th>\n",
|
|||
|
|
" <th>Cost</th>\n",
|
|||
|
|
" <th>Revenue</th>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </thead>\n",
|
|||
|
|
" <tbody>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>47030</th>\n",
|
|||
|
|
" <td>2014-01-10</td>\n",
|
|||
|
|
" <td>10</td>\n",
|
|||
|
|
" <td>january</td>\n",
|
|||
|
|
" <td>2014</td>\n",
|
|||
|
|
" <td>23</td>\n",
|
|||
|
|
" <td>youth (<25)</td>\n",
|
|||
|
|
" <td>F</td>\n",
|
|||
|
|
" <td>france</td>\n",
|
|||
|
|
" <td>loiret</td>\n",
|
|||
|
|
" <td>clothing</td>\n",
|
|||
|
|
" <td>jerseys</td>\n",
|
|||
|
|
" <td>short-sleeve classic jersey, l</td>\n",
|
|||
|
|
" <td>2</td>\n",
|
|||
|
|
" <td>42</td>\n",
|
|||
|
|
" <td>54</td>\n",
|
|||
|
|
" <td>12</td>\n",
|
|||
|
|
" <td>84</td>\n",
|
|||
|
|
" <td>96</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>36579</th>\n",
|
|||
|
|
" <td>2016-05-04</td>\n",
|
|||
|
|
" <td>4</td>\n",
|
|||
|
|
" <td>may</td>\n",
|
|||
|
|
" <td>2016</td>\n",
|
|||
|
|
" <td>34</td>\n",
|
|||
|
|
" <td>young adults (25-34)</td>\n",
|
|||
|
|
" <td>F</td>\n",
|
|||
|
|
" <td>united states</td>\n",
|
|||
|
|
" <td>california</td>\n",
|
|||
|
|
" <td>accessories</td>\n",
|
|||
|
|
" <td>helmets</td>\n",
|
|||
|
|
" <td>sport-100 helmet, black</td>\n",
|
|||
|
|
" <td>14</td>\n",
|
|||
|
|
" <td>13</td>\n",
|
|||
|
|
" <td>35</td>\n",
|
|||
|
|
" <td>298</td>\n",
|
|||
|
|
" <td>182</td>\n",
|
|||
|
|
" <td>480</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>88485</th>\n",
|
|||
|
|
" <td>2016-01-06</td>\n",
|
|||
|
|
" <td>6</td>\n",
|
|||
|
|
" <td>january</td>\n",
|
|||
|
|
" <td>2016</td>\n",
|
|||
|
|
" <td>34</td>\n",
|
|||
|
|
" <td>young adults (25-34)</td>\n",
|
|||
|
|
" <td>M</td>\n",
|
|||
|
|
" <td>france</td>\n",
|
|||
|
|
" <td>loiret</td>\n",
|
|||
|
|
" <td>accessories</td>\n",
|
|||
|
|
" <td>tires and tubes</td>\n",
|
|||
|
|
" <td>touring tire tube</td>\n",
|
|||
|
|
" <td>20</td>\n",
|
|||
|
|
" <td>2</td>\n",
|
|||
|
|
" <td>5</td>\n",
|
|||
|
|
" <td>49</td>\n",
|
|||
|
|
" <td>40</td>\n",
|
|||
|
|
" <td>89</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>12816</th>\n",
|
|||
|
|
" <td>2014-07-15</td>\n",
|
|||
|
|
" <td>15</td>\n",
|
|||
|
|
" <td>july</td>\n",
|
|||
|
|
" <td>2014</td>\n",
|
|||
|
|
" <td>40</td>\n",
|
|||
|
|
" <td>adults (35-64)</td>\n",
|
|||
|
|
" <td>M</td>\n",
|
|||
|
|
" <td>germany</td>\n",
|
|||
|
|
" <td>bayern</td>\n",
|
|||
|
|
" <td>accessories</td>\n",
|
|||
|
|
" <td>bottles and cages</td>\n",
|
|||
|
|
" <td>water bottle - 30 oz.</td>\n",
|
|||
|
|
" <td>6</td>\n",
|
|||
|
|
" <td>2</td>\n",
|
|||
|
|
" <td>5</td>\n",
|
|||
|
|
" <td>18</td>\n",
|
|||
|
|
" <td>12</td>\n",
|
|||
|
|
" <td>30</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>109397</th>\n",
|
|||
|
|
" <td>2015-11-29</td>\n",
|
|||
|
|
" <td>29</td>\n",
|
|||
|
|
" <td>november</td>\n",
|
|||
|
|
" <td>2015</td>\n",
|
|||
|
|
" <td>22</td>\n",
|
|||
|
|
" <td>youth (<25)</td>\n",
|
|||
|
|
" <td>F</td>\n",
|
|||
|
|
" <td>australia</td>\n",
|
|||
|
|
" <td>queensland</td>\n",
|
|||
|
|
" <td>bikes</td>\n",
|
|||
|
|
" <td>touring bikes</td>\n",
|
|||
|
|
" <td>touring-2000 blue, 46</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>755</td>\n",
|
|||
|
|
" <td>1215</td>\n",
|
|||
|
|
" <td>266</td>\n",
|
|||
|
|
" <td>755</td>\n",
|
|||
|
|
" <td>1021</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>...</th>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>50057</th>\n",
|
|||
|
|
" <td>2015-11-16</td>\n",
|
|||
|
|
" <td>16</td>\n",
|
|||
|
|
" <td>november</td>\n",
|
|||
|
|
" <td>2015</td>\n",
|
|||
|
|
" <td>24</td>\n",
|
|||
|
|
" <td>youth (<25)</td>\n",
|
|||
|
|
" <td>M</td>\n",
|
|||
|
|
" <td>united states</td>\n",
|
|||
|
|
" <td>washington</td>\n",
|
|||
|
|
" <td>bikes</td>\n",
|
|||
|
|
" <td>mountain bikes</td>\n",
|
|||
|
|
" <td>mountain-200 silver, 38</td>\n",
|
|||
|
|
" <td>3</td>\n",
|
|||
|
|
" <td>1266</td>\n",
|
|||
|
|
" <td>2320</td>\n",
|
|||
|
|
" <td>1631</td>\n",
|
|||
|
|
" <td>3798</td>\n",
|
|||
|
|
" <td>5429</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>98047</th>\n",
|
|||
|
|
" <td>2013-09-10</td>\n",
|
|||
|
|
" <td>10</td>\n",
|
|||
|
|
" <td>september</td>\n",
|
|||
|
|
" <td>2013</td>\n",
|
|||
|
|
" <td>28</td>\n",
|
|||
|
|
" <td>young adults (25-34)</td>\n",
|
|||
|
|
" <td>M</td>\n",
|
|||
|
|
" <td>australia</td>\n",
|
|||
|
|
" <td>new south wales</td>\n",
|
|||
|
|
" <td>accessories</td>\n",
|
|||
|
|
" <td>tires and tubes</td>\n",
|
|||
|
|
" <td>ml road tire</td>\n",
|
|||
|
|
" <td>12</td>\n",
|
|||
|
|
" <td>9</td>\n",
|
|||
|
|
" <td>25</td>\n",
|
|||
|
|
" <td>153</td>\n",
|
|||
|
|
" <td>108</td>\n",
|
|||
|
|
" <td>261</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>5192</th>\n",
|
|||
|
|
" <td>2016-05-26</td>\n",
|
|||
|
|
" <td>26</td>\n",
|
|||
|
|
" <td>may</td>\n",
|
|||
|
|
" <td>2016</td>\n",
|
|||
|
|
" <td>33</td>\n",
|
|||
|
|
" <td>young adults (25-34)</td>\n",
|
|||
|
|
" <td>M</td>\n",
|
|||
|
|
" <td>australia</td>\n",
|
|||
|
|
" <td>new south wales</td>\n",
|
|||
|
|
" <td>accessories</td>\n",
|
|||
|
|
" <td>bottles and cages</td>\n",
|
|||
|
|
" <td>water bottle - 30 oz.</td>\n",
|
|||
|
|
" <td>15</td>\n",
|
|||
|
|
" <td>2</td>\n",
|
|||
|
|
" <td>5</td>\n",
|
|||
|
|
" <td>35</td>\n",
|
|||
|
|
" <td>30</td>\n",
|
|||
|
|
" <td>65</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>77708</th>\n",
|
|||
|
|
" <td>2013-11-11</td>\n",
|
|||
|
|
" <td>11</td>\n",
|
|||
|
|
" <td>november</td>\n",
|
|||
|
|
" <td>2013</td>\n",
|
|||
|
|
" <td>63</td>\n",
|
|||
|
|
" <td>adults (35-64)</td>\n",
|
|||
|
|
" <td>M</td>\n",
|
|||
|
|
" <td>united states</td>\n",
|
|||
|
|
" <td>california</td>\n",
|
|||
|
|
" <td>accessories</td>\n",
|
|||
|
|
" <td>tires and tubes</td>\n",
|
|||
|
|
" <td>hl mountain tire</td>\n",
|
|||
|
|
" <td>21</td>\n",
|
|||
|
|
" <td>13</td>\n",
|
|||
|
|
" <td>35</td>\n",
|
|||
|
|
" <td>447</td>\n",
|
|||
|
|
" <td>273</td>\n",
|
|||
|
|
" <td>720</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>98539</th>\n",
|
|||
|
|
" <td>2016-04-14</td>\n",
|
|||
|
|
" <td>14</td>\n",
|
|||
|
|
" <td>april</td>\n",
|
|||
|
|
" <td>2016</td>\n",
|
|||
|
|
" <td>46</td>\n",
|
|||
|
|
" <td>adults (35-64)</td>\n",
|
|||
|
|
" <td>M</td>\n",
|
|||
|
|
" <td>united states</td>\n",
|
|||
|
|
" <td>washington</td>\n",
|
|||
|
|
" <td>accessories</td>\n",
|
|||
|
|
" <td>tires and tubes</td>\n",
|
|||
|
|
" <td>hl road tire</td>\n",
|
|||
|
|
" <td>22</td>\n",
|
|||
|
|
" <td>12</td>\n",
|
|||
|
|
" <td>33</td>\n",
|
|||
|
|
" <td>302</td>\n",
|
|||
|
|
" <td>264</td>\n",
|
|||
|
|
" <td>566</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
"</table>\n",
|
|||
|
|
"<p>90428 rows × 18 columns</p>\n",
|
|||
|
|
"</div>"
|
|||
|
|
],
|
|||
|
|
"text/plain": [
|
|||
|
|
" Date Day Month Year Customer_Age Age_Group \\\n",
|
|||
|
|
"47030 2014-01-10 10 january 2014 23 youth (<25) \n",
|
|||
|
|
"36579 2016-05-04 4 may 2016 34 young adults (25-34) \n",
|
|||
|
|
"88485 2016-01-06 6 january 2016 34 young adults (25-34) \n",
|
|||
|
|
"12816 2014-07-15 15 july 2014 40 adults (35-64) \n",
|
|||
|
|
"109397 2015-11-29 29 november 2015 22 youth (<25) \n",
|
|||
|
|
"... ... ... ... ... ... ... \n",
|
|||
|
|
"50057 2015-11-16 16 november 2015 24 youth (<25) \n",
|
|||
|
|
"98047 2013-09-10 10 september 2013 28 young adults (25-34) \n",
|
|||
|
|
"5192 2016-05-26 26 may 2016 33 young adults (25-34) \n",
|
|||
|
|
"77708 2013-11-11 11 november 2013 63 adults (35-64) \n",
|
|||
|
|
"98539 2016-04-14 14 april 2016 46 adults (35-64) \n",
|
|||
|
|
"\n",
|
|||
|
|
" Customer_Gender Country State Product_Category \\\n",
|
|||
|
|
"47030 F france loiret clothing \n",
|
|||
|
|
"36579 F united states california accessories \n",
|
|||
|
|
"88485 M france loiret accessories \n",
|
|||
|
|
"12816 M germany bayern accessories \n",
|
|||
|
|
"109397 F australia queensland bikes \n",
|
|||
|
|
"... ... ... ... ... \n",
|
|||
|
|
"50057 M united states washington bikes \n",
|
|||
|
|
"98047 M australia new south wales accessories \n",
|
|||
|
|
"5192 M australia new south wales accessories \n",
|
|||
|
|
"77708 M united states california accessories \n",
|
|||
|
|
"98539 M united states washington accessories \n",
|
|||
|
|
"\n",
|
|||
|
|
" Sub_Category Product Order_Quantity \\\n",
|
|||
|
|
"47030 jerseys short-sleeve classic jersey, l 2 \n",
|
|||
|
|
"36579 helmets sport-100 helmet, black 14 \n",
|
|||
|
|
"88485 tires and tubes touring tire tube 20 \n",
|
|||
|
|
"12816 bottles and cages water bottle - 30 oz. 6 \n",
|
|||
|
|
"109397 touring bikes touring-2000 blue, 46 1 \n",
|
|||
|
|
"... ... ... ... \n",
|
|||
|
|
"50057 mountain bikes mountain-200 silver, 38 3 \n",
|
|||
|
|
"98047 tires and tubes ml road tire 12 \n",
|
|||
|
|
"5192 bottles and cages water bottle - 30 oz. 15 \n",
|
|||
|
|
"77708 tires and tubes hl mountain tire 21 \n",
|
|||
|
|
"98539 tires and tubes hl road tire 22 \n",
|
|||
|
|
"\n",
|
|||
|
|
" Unit_Cost Unit_Price Profit Cost Revenue \n",
|
|||
|
|
"47030 42 54 12 84 96 \n",
|
|||
|
|
"36579 13 35 298 182 480 \n",
|
|||
|
|
"88485 2 5 49 40 89 \n",
|
|||
|
|
"12816 2 5 18 12 30 \n",
|
|||
|
|
"109397 755 1215 266 755 1021 \n",
|
|||
|
|
"... ... ... ... ... ... \n",
|
|||
|
|
"50057 1266 2320 1631 3798 5429 \n",
|
|||
|
|
"98047 9 25 153 108 261 \n",
|
|||
|
|
"5192 2 5 35 30 65 \n",
|
|||
|
|
"77708 13 35 447 273 720 \n",
|
|||
|
|
"98539 12 33 302 264 566 \n",
|
|||
|
|
"\n",
|
|||
|
|
"[90428 rows x 18 columns]"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 63,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"bikes_train"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 64,
|
|||
|
|
"id": "4874398c",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"adults (35-64) 55824\n",
|
|||
|
|
"young adults (25-34) 38654\n",
|
|||
|
|
"youth (<25) 17828\n",
|
|||
|
|
"seniors (64+) 730\n",
|
|||
|
|
"Name: Age_Group, dtype: int64"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 64,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"bikes[\"Age_Group\"].value_counts()"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 65,
|
|||
|
|
"id": "e1a03dd7",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Axes: >"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 65,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 640x480 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"bikes[\"Age_Group\"].value_counts().plot(kind=\"bar\")"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 66,
|
|||
|
|
"id": "c2ebf497",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/html": [
|
|||
|
|
"<div>\n",
|
|||
|
|
"<style scoped>\n",
|
|||
|
|
" .dataframe tbody tr th:only-of-type {\n",
|
|||
|
|
" vertical-align: middle;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"\n",
|
|||
|
|
" .dataframe tbody tr th {\n",
|
|||
|
|
" vertical-align: top;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"\n",
|
|||
|
|
" .dataframe thead th {\n",
|
|||
|
|
" text-align: right;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"</style>\n",
|
|||
|
|
"<table border=\"1\" class=\"dataframe\">\n",
|
|||
|
|
" <thead>\n",
|
|||
|
|
" <tr style=\"text-align: right;\">\n",
|
|||
|
|
" <th></th>\n",
|
|||
|
|
" <th>Profit</th>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>Year</th>\n",
|
|||
|
|
" <th></th>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </thead>\n",
|
|||
|
|
" <tbody>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>2011</th>\n",
|
|||
|
|
" <td>1076.317146</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>2012</th>\n",
|
|||
|
|
" <td>1102.724318</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>2013</th>\n",
|
|||
|
|
" <td>243.800188</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>2014</th>\n",
|
|||
|
|
" <td>199.472311</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>2015</th>\n",
|
|||
|
|
" <td>308.004868</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>2016</th>\n",
|
|||
|
|
" <td>239.334240</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
"</table>\n",
|
|||
|
|
"</div>"
|
|||
|
|
],
|
|||
|
|
"text/plain": [
|
|||
|
|
" Profit\n",
|
|||
|
|
"Year \n",
|
|||
|
|
"2011 1076.317146\n",
|
|||
|
|
"2012 1102.724318\n",
|
|||
|
|
"2013 243.800188\n",
|
|||
|
|
"2014 199.472311\n",
|
|||
|
|
"2015 308.004868\n",
|
|||
|
|
"2016 239.334240"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 66,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
" bikes[[\"Year\",\"Profit\"]].groupby(\"Year\").mean()"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 67,
|
|||
|
|
"id": "3bbd4d07",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Axes: xlabel='Year'>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 67,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 640x480 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
" bikes[[\"Year\",\"Profit\"]].groupby(\"Year\").mean().plot(kind=\"bar\")"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 68,
|
|||
|
|
"id": "0786ffaf",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<seaborn.axisgrid.FacetGrid at 0x7f807fceafb0>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 68,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 593.625x500 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"sns.set_theme()\n",
|
|||
|
|
"sns.relplot(data=bikes, x=\"Unit_Cost\", y=\"Unit_Price\", hue=\"Unit_Cost\")"
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"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": "3.10.6"
|
|||
|
|
}
|
|||
|
|
},
|
|||
|
|
"nbformat": 4,
|
|||
|
|
"nbformat_minor": 5
|
|||
|
|
}
|