notebook.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from scipy.stats import zscore\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "import plotly.express as px"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Swiss Grocery Price Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The aim of this project is to analyze the real grocery prices in Switzerland and see how they have evolved over the years. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### About the Dataset\n",
    "\n",
    "This dataset contains grocery pricing data collected over two years in Switzerland, covering 35 different product categories. The dataset provides valuable insights into price trends and fluctuations for various grocery items in the Swiss market. This information can be crucial for understanding consumer behavior, market dynamics, and the impact of economic factors on grocery prices.\n",
    "\n",
    "### Key features of the Dataset\n",
    "\n",
    "- **Different Product Categories**: The dataset covers a wide range of product categories, including dairy, meat, fruits, vegetables, beverages, and more.\n",
    "- **Price Data**: The dataset includes price data for each product category, allowing for detailed analysis of price trends and fluctuations.\n",
    "- **Time Series Data**: The dataset spans two years, providing a time series perspective on grocery prices in Switzerland.\n",
    "\n",
    "### Data Dictionary\n",
    "\n",
    "| Column Name | Description |\n",
    "|-------------|-------------|\n",
    "| Description | Description of the product |\n",
    "| Price | Price of the product in CHF with two decimals |\n",
    "| Date | Date of the price observation (DD/MM/YYYY) |"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "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>Description</th>\n",
       "      <th>Price</th>\n",
       "      <th>Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Yogurt</td>\n",
       "      <td>3.00</td>\n",
       "      <td>31/05/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Mozzarella</td>\n",
       "      <td>2.15</td>\n",
       "      <td>31/05/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Pesto</td>\n",
       "      <td>2.75</td>\n",
       "      <td>31/05/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bread</td>\n",
       "      <td>2.90</td>\n",
       "      <td>31/05/2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Cucumber</td>\n",
       "      <td>1.80</td>\n",
       "      <td>31/05/2022</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Description  Price        Date\n",
       "0      Yogurt   3.00  31/05/2022\n",
       "1  Mozzarella   2.15  31/05/2022\n",
       "2       Pesto   2.75  31/05/2022\n",
       "3       Bread   2.90  31/05/2022\n",
       "4    Cucumber   1.80  31/05/2022"
      ]
     },
     "execution_count": 147,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv('data/SwissBills.csv')\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2307, 3)"
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape # Check the shape of the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Description     object\n",
       "Price          float64\n",
       "Date            object\n",
       "dtype: object"
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.dtypes # Check the data types of the columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We check for null values or NaN values, since they can cause errors in the future calculations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Description    False\n",
       "Price          False\n",
       "Date           False\n",
       "dtype: bool"
      ]
     },
     "execution_count": 150,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isnull().any() # Check if threre are any Null/NaN values in the datset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Description\n",
       "Bread               176\n",
       "Cherry Tomatoes     132\n",
       "Mozzarella          127\n",
       "Bananas             114\n",
       "Bun                 109\n",
       "Cucumber            105\n",
       "Cream                99\n",
       "Pesto                94\n",
       "Water                93\n",
       "Carbonated Water     86\n",
       "Sausages             77\n",
       "Yogurt               74\n",
       "Salami               70\n",
       "Beef                 65\n",
       "Orange Juice         59\n",
       "Philadelphia         57\n",
       "Olives               56\n",
       "Avocados             54\n",
       "Eggs                 53\n",
       "Cheese               52\n",
       "Apples               47\n",
       "Peppers              47\n",
       "Butter               45\n",
       "Grapes               44\n",
       "Cherry               43\n",
       "Berries Yogurt       41\n",
       "Potatoes             39\n",
       "Clementines          38\n",
       "Boiled Eggs          37\n",
       "Meat                 36\n",
       "Ham                  35\n",
       "Pikelet              35\n",
       "Strawberries         34\n",
       "Croissant            34\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 151,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Description'].value_counts() # Check the number of unique values in the Description column"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exploratory Data Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Lets plot our data to get an overview"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n"
     ]
    },
    {
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",
      "text/plain": [
       "<Figure size 3000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grouped = data.groupby('Description')\n",
    "\n",
    "plt.figure(figsize=(30, 10))\n",
    "\n",
    "for name, group in grouped:\n",
    "    plt.plot(group['Date'], group['Price'], label=name, marker='o')\n",
    "plt.legend()\n",
    "plt.grid()\n",
    "plt.xticks(np.arange(0, 350, 10), rotation=45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If we want, we can also look at the data using plotly, which is a more interactive way to look at the data as compared to matplotlib/seaborn."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "hovertemplate": "Description=Yogurt<br>Date=%{x}<br>Price=%{y}<extra></extra>",
         "legendgroup": "Yogurt",
         "line": {
          "color": "#636efa",
          "dash": "solid"
         },
         "marker": {
          "symbol": "circle"
         },
         "mode": "lines",
         "name": "Yogurt",
         "showlegend": true,
         "type": "scattergl",
         "x": [
          "31/05/2022",
          "07/06/2022",
          "24/06/2022",
          "27/06/2022",
          "30/06/2022",
          "02/07/2022",
          "04/07/2022",
          "07/07/2022",
          "08/07/2022",
          "13/07/2022",
          "16/07/2022",
          "18/07/2022",
          "22/07/2022",
          "28/07/2022",
          "30/07/2022",
          "06/08/2022",
          "06/08/2022",
          "20/08/2022",
          "24/08/2022",
          "27/08/2022",
          "30/08/2022",
          "01/09/2022",
          "06/09/2022",
          "08/09/2022",
          "10/09/2022",
          "01/10/2022",
          "04/10/2022",
          "10/10/2022",
          "18/10/2022",
          "02/11/2022",
          "09/11/2022",
          "19/11/2022",
          "21/11/2022",
          "23/11/2022",
          "11/01/2023",
          "14/01/2023",
          "17/01/2023",
          "19/01/2023",
          "21/01/2023",
          "27/01/2023",
          "01/02/2023",
          "11/02/2023",
          "18/02/2023",
          "27/02/2023",
          "06/03/2023",
          "16/03/2023",
          "25/03/2023",
          "01/04/2023",
          "11/04/2023",
          "27/04/2023",
          "29/04/2023",
          "01/05/2023",
          "04/05/2023",
          "06/05/2023",
          "13/05/2023",
          "17/05/2023",
          "22/05/2023",
          "05/06/2023",
          "26/06/2023",
          "01/07/2023",
          "08/07/2023",
          "29/07/2023",
          "24/08/2023",
          "09/09/2023",
          "16/09/2023",
          "16/10/2023",
          "21/10/2023",
          "06/11/2023",
          "11/11/2023",
          "18/11/2023",
          "22/11/2023",
          "25/11/2023",
          "08/12/2023",
          "27/12/2023"
         ],
         "xaxis": "x",
         "y": [
          3,
          3,
          3,
          3,
          3,
          3,
          3,
          3,
          3,
          3,
          3,
          3,
          3,
          3,
          3,
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          3.1,
          3.1,
          3.1,
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          3.1,
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          3.1,
          3.1,
          3.1,
          3.1,
          3.1,
          3.1,
          3.1,
          3.1,
          3.2,
          3.2,
          3.2,
          3.2,
          3.2,
          3.2,
          3.2,
          3.2,
          3.2,
          3.2,
          3.2,
          3.2,
          3.2,
          3.2,
          3.2,
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          3.2,
          3.2,
          3.2,
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          3.2,
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          3.2,
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           "bgcolor": "#E5ECF6",
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          },
          "scene": {
           "xaxis": {
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           "zaxis": {
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            "gridcolor": "white",
            "gridwidth": 2,
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            "showbackground": true,
            "ticks": "",
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           }
          },
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           "line": {
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           }
          },
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           "aaxis": {
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            "linecolor": "white",
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           },
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            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
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           },
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           "zerolinewidth": 2
          },
          "yaxis": {
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           "ticks": "",
           "title": {
            "standoff": 15
           },
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           "zerolinewidth": 2
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        },
        "title": {
         "text": "Swiss Bills Prices Over Time"
        },
        "xaxis": {
         "anchor": "y",
         "domain": [
          0,
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         ],
         "title": {
          "text": "Date"
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         "anchor": "x",
         "domain": [
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          "text": "Price"
         }
        }
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "px.line(data, x='Date', y='Price', color='Description', title='Swiss Bills Prices Over Time')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will choose the products with the highest occurence of samples, those being bread, cherry tomatoes and mozzarella."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [],
   "source": [
    "bread = data[data['Description'] == 'Bread']\n",
    "cherry_tomatoes = data[data['Description'] == 'Cherry Tomatoes']\n",
    "mozzarella = data[data['Description'] == 'Mozzarella']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(count    176.000000\n",
       " mean       2.950284\n",
       " std        0.104676\n",
       " min        2.800000\n",
       " 25%        2.900000\n",
       " 50%        2.900000\n",
       " 75%        2.950000\n",
       " max        3.200000\n",
       " Name: Price, dtype: float64,\n",
       " count    132.000000\n",
       " mean       3.592803\n",
       " std        1.105057\n",
       " min        1.700000\n",
       " 25%        2.500000\n",
       " 50%        3.600000\n",
       " 75%        4.950000\n",
       " max        5.500000\n",
       " Name: Price, dtype: float64,\n",
       " count    127.000000\n",
       " mean       2.329134\n",
       " std        0.504600\n",
       " min        2.150000\n",
       " 25%        2.200000\n",
       " 50%        2.250000\n",
       " 75%        2.400000\n",
       " max        6.450000\n",
       " Name: Price, dtype: float64)"
      ]
     },
     "execution_count": 155,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bread['Price'].describe(), cherry_tomatoes['Price'].describe(), mozzarella['Price'].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the following boxplots, two outliers are to be seen in the bread prices and in the mozzarella prices and while bread, being a staple food, has got a small price range,t outliers from the mozarella prices, which are not a staple food, are much higher, while for cherry tomatoes the entire price range is very broad, which indicates that the price of cherry tomatoes can vary a lot. This might be due to the fact that cherry tomatoes are a seasonal product and that the price is influenced by the season.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 3000x1000 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(30, 10))\n",
    "\n",
    "plt.subplot(1, 3, 1)\n",
    "sns.boxplot(x = bread['Price'])\n",
    "plt.title('Bread')\n",
    "\n",
    "plt.subplot(1, 3, 2)\n",
    "sns.boxplot(x = cherry_tomatoes['Price'])\n",
    "plt.title('Cherry Tomatoes')\n",
    "\n",
    "plt.subplot(1, 3, 3)\n",
    "sns.boxplot(x = mozzarella['Price'])\n",
    "plt.title('Mozzarella')\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We would like to create a function, that removes extreme outliers from the data, so that we can have a better understanding of the data. We will be using the IQR methods to remove the outliers, which is a common method to remove outliers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 3000x1000 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def outlier_removal(data):\n",
    "    Q1 = data['Price'].quantile(0.25)\n",
    "    Q3 = data['Price'].quantile(0.75)\n",
    "\n",
    "    IQR = Q3 - Q1\n",
    "\n",
    "    data = data[(data['Price'] >= (Q1 - 1.5 * IQR)) & (data['Price'] <= (Q3 + 1.5 * IQR))]\n",
    "\n",
    "    return data\n",
    "\n",
    "bread = outlier_removal(bread)\n",
    "cherry_tomatoes = outlier_removal(cherry_tomatoes)\n",
    "mozzarella = outlier_removal(mozzarella)\n",
    "\n",
    "plt.figure(figsize=(30, 10))\n",
    "\n",
    "plt.subplot(1, 3, 1)\n",
    "sns.boxplot(x = bread['Price'])\n",
    "plt.title('Bread')\n",
    "\n",
    "plt.subplot(1, 3, 2)\n",
    "sns.boxplot(x = cherry_tomatoes['Price'])\n",
    "plt.title('Cherry Tomatoes')\n",
    "\n",
    "plt.subplot(1, 3, 3)\n",
    "sns.boxplot(x = mozzarella['Price'])\n",
    "plt.title('Mozzarella')\n",
    "\n",
    "plt.show()\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next we will be plotting the prices with the dates to see the trend of the prices over time. The difference here is only 5 rappen for bread."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 10))\n",
    "\n",
    "sns.lineplot(x = 'Date', y = 'Price', data = bread)\n",
    "\n",
    "plt.title('Bread Prices over Time')\n",
    "plt.xticks(np.arange(0, 150, step=4),  rotation = 45, )\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Well, thats not interesting, is it? How about we plot the prices of cherry tomatoes to see the trend of prices over time? Here we can see drastic price changes depending on the time of the year. The prices are highest in the summer months and lowest in the winter months. This is due to the fact that cherry tomatoes are a seasonal product and the price is influenced by the season."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "matplotlib.category INFO  Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 10))\n",
    "\n",
    "sns.lineplot(x = 'Date', y = 'Price', data = cherry_tomatoes)\n",
    "\n",
    "plt.title('Cherry Tomato Prices over Time')\n",
    "plt.xticks(np.arange(0, 150, step=4),  rotation = 45, )\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Predictive Modelling\n",
    "\n",
    "We would like to use the skforecast library to forecast the prices of cherry tomatoes. We use this library because it is specifically designed for forecasting time series data. We will be using a Forecasting model to predict the prices of cherry tomatoes. Before that we need to convert the data into a time series data with no empty dates inbetween. We will be using the 'ffill' method to fill the missing dates, this method fills the missing dates with the last known value."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [],
   "source": [
    "cherry_tomatoes['Date'] = pd.to_datetime(cherry_tomatoes['Date'], dayfirst=True)\n",
    "cherry_tomatoes = cherry_tomatoes.set_index('Date')\n",
    "cherry_tomatoes = cherry_tomatoes.asfreq('D')\n",
    "cherry_tomatoes = cherry_tomatoes.ffill()\n",
    "cherry_tomatoes = cherry_tomatoes.sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "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>Description</th>\n",
       "      <th>Price</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2022-05-31</th>\n",
       "      <td>Cherry Tomatoes</td>\n",
       "      <td>3.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-06-01</th>\n",
       "      <td>Cherry Tomatoes</td>\n",
       "      <td>3.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-06-02</th>\n",
       "      <td>Cherry Tomatoes</td>\n",
       "      <td>3.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-06-03</th>\n",
       "      <td>Cherry Tomatoes</td>\n",
       "      <td>3.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-06-04</th>\n",
       "      <td>Cherry Tomatoes</td>\n",
       "      <td>3.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-05-25</th>\n",
       "      <td>Cherry Tomatoes</td>\n",
       "      <td>3.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-05-26</th>\n",
       "      <td>Cherry Tomatoes</td>\n",
       "      <td>3.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-05-27</th>\n",
       "      <td>Cherry Tomatoes</td>\n",
       "      <td>3.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-05-28</th>\n",
       "      <td>Cherry Tomatoes</td>\n",
       "      <td>3.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-05-29</th>\n",
       "      <td>Cherry Tomatoes</td>\n",
       "      <td>3.95</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>730 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                Description  Price\n",
       "Date                              \n",
       "2022-05-31  Cherry Tomatoes   3.50\n",
       "2022-06-01  Cherry Tomatoes   3.50\n",
       "2022-06-02  Cherry Tomatoes   3.50\n",
       "2022-06-03  Cherry Tomatoes   3.50\n",
       "2022-06-04  Cherry Tomatoes   3.50\n",
       "...                     ...    ...\n",
       "2024-05-25  Cherry Tomatoes   3.95\n",
       "2024-05-26  Cherry Tomatoes   3.95\n",
       "2024-05-27  Cherry Tomatoes   3.95\n",
       "2024-05-28  Cherry Tomatoes   3.95\n",
       "2024-05-29  Cherry Tomatoes   3.95\n",
       "\n",
       "[730 rows x 2 columns]"
      ]
     },
     "execution_count": 161,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cherry_tomatoes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We split the data into a training and test set. The steps indicate the amount of days we want to forecast."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train dates: 2022-05-31 00:00:00 - 2024-04-29 00:00:00\n",
      "Test dates: 2024-04-30 00:00:00 - 2024-05-29 00:00:00\n"
     ]
    }
   ],
   "source": [
    "steps = 30\n",
    "cherry_tomatoes_train = cherry_tomatoes[:-steps]\n",
    "cherry_tomatoes_test = cherry_tomatoes[-steps:]\n",
    "\n",
    "print(f\"Train dates: {cherry_tomatoes_train.index.min()} - {cherry_tomatoes_train.index.max()}\")\n",
    "print(f\"Test dates: {cherry_tomatoes_test.index.min()} - {cherry_tomatoes_test.index.max()}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x78bde4ff3ca0>"
      ]
     },
     "execution_count": 163,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(20, 10))\n",
    "cherry_tomatoes_train['Price'].plot(ax=ax, label='Train')\n",
    "cherry_tomatoes_test['Price'].plot(ax=ax, label='Test')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {},
   "outputs": [],
   "source": [
    "from skforecast.ForecasterAutoreg import ForecasterAutoreg\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.metrics import mean_squared_error"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "================= \n",
       "ForecasterAutoreg \n",
       "================= \n",
       "Regressor: LinearRegression() \n",
       "Lags: [ 1  2  3  4  5  6  7  8  9 10] \n",
       "Transformer for y: None \n",
       "Transformer for exog: None \n",
       "Window size: 10 \n",
       "Weight function included: False \n",
       "Differentiation order: None \n",
       "Exogenous included: False \n",
       "Exogenous variables names: None \n",
       "Training range: [Timestamp('2022-05-31 00:00:00'), Timestamp('2024-04-29 00:00:00')] \n",
       "Training index type: DatetimeIndex \n",
       "Training index frequency: D \n",
       "Regressor parameters: {'copy_X': True, 'fit_intercept': True, 'n_jobs': None, 'positive': False} \n",
       "fit_kwargs: {} \n",
       "Creation date: 2024-08-11 13:23:10 \n",
       "Last fit date: 2024-08-11 13:23:10 \n",
       "Skforecast version: 0.13.0 \n",
       "Python version: 3.10.14 \n",
       "Forecaster id: None "
      ]
     },
     "execution_count": 165,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "forecaster = ForecasterAutoreg(\n",
    "    regressor=LinearRegression(),\n",
    "    lags=10,\n",
    "    binner_kwargs={'strategy': 'uniform', 'n_bins': 10}\n",
    ")\n",
    "forecaster.fit(y=cherry_tomatoes_train['Price'])\n",
    "forecaster"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2024-04-30    3.899055\n",
       "2024-05-01    3.891553\n",
       "2024-05-02    3.878561\n",
       "2024-05-03    3.880132\n",
       "2024-05-04    3.882757\n",
       "Freq: D, Name: pred, dtype: float64"
      ]
     },
     "execution_count": 166,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictions = forecaster.predict(steps=steps)\n",
    "predictions.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The prediction seems to indicate that the price of cherry tomatoes will sink in the future, while the test data shows that the price will stay the same. This is an indication that the model is not very accurate, we can try to improve the model by searching for additional data or tuning the model parameters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x78bdf213a080>"
      ]
     },
     "execution_count": 167,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot Predictions vs Test Data\n",
    "fig, ax = plt.subplots(figsize=(20, 10))\n",
    "cherry_tomatoes_train['Price'].plot(ax=ax, label='Train')\n",
    "cherry_tomatoes_test['Price'].plot(ax=ax, label='Test')\n",
    "predictions.plot(ax=ax, label='Predictions')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Squared Error: 0.007445261580191536\n"
     ]
    }
   ],
   "source": [
    "error_mse = mean_squared_error(cherry_tomatoes_test['Price'], predictions)\n",
    "print(f'Mean Squared Error: {error_mse}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "machine-learning",
   "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": "3.10.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}