DataCheckpoint_Group043_WI24.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**If you lost points on the last checkpoint you can get them back by responding to TA/IA feedback**  \n",
    "\n",
    "Update/change the relevant sections where you lost those points, make sure you respond on GitHub Issues to your TA/IA to call their attention to the changes you made here.\n",
    "\n",
    "Please update your Timeline... no battle plan survives contact with the enemy, so make sure we understand how your plans have changed."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# COGS 108 - Data Checkpoint"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Names\n",
    "\n",
    "- Kaleigh Mogatas A17051705 kmogatas@ucsd.edu\n",
    "- Tairan Liu A17399714 tal012@ucsd.edu\n",
    "- Teresa Tian A16878664 shtian@ucsd.edu\n",
    "- Lynna Nguyen A16906910 lnn002@ucsd.edu\n",
    "- Ella Tung A16363333 etung@ucsd.edu\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Research Question"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "What impacts do regions, along with production methods (conventional vs. organic) have on U.S. avocado price fluctuations ranging from 2015 to 2023?\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Background and Prior Work"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "Avocados, often hailed as a superfruit, are packed with a wide array of vitamins and minerals. Owing to their extensive health benefits, they have sustained their popularity over the past decade, consistently featuring across various culinary presentations. The consumption of avocados have become significant over the past years, thus causing an increase in demand. Because of this, the price of avocados has been affected for a number of reasons. Factors such as the seasonality of avocado production, with specific periods favoring optimal growth, the type of avocado (organic or conventional), and the region of cultivation play a role in influencing avocado’s availability and quality.<a name=\"cite_ref-1\"></a>[<sup>1</sup>](#cite_note-1)\n",
    "\n",
    "Avocado prices fluctuate depending on the time of year. Tanmay Deshpande, the author of ‘Avocado Price Forecast,’ used Auto Regressive Integrated Moving Average (ARIMA) and Seasonal Auto Regressive Integrated Moving Average (SARIMA) model to find the correlation between the two types of avocado prices and the time of year. He discovered that the average prices of avocados fluctuate during a certain time of year as it would rise around September to November, but would drop again around December and January. This suggests that there may be more of a demand for avocados since they are seasonal fruits, which is why costs increase during a specific time of year in which they are produced.<a name=\"cite_ref-2\"></a>[<sup>2</sup>](#cite_note-2)\n",
    "\n",
    "However, the costs of avocados also vary depending on the region of which they are produced and sold for a number of reasons. Mario Caesar, author of  ‘Avocado Price Regression w/ PyCaret & EDA,’ discusses how different areas around the United States play a big role in the contribution of avocado sales and prices, especially with the size of the bag of avocados. His article expresses how the West (excluding California) and California are more likely to purchase both conventional and organic avocados—more so conventional—in comparison to the other top five areas that purchase avocados—the Northeast, Great Lakes and South Central, which begs the question as to why there is such a difference in avocado consumption between different regions. Additionally, the type of avocado that is produced also affects cost and people’s decision to purchase as they are grown using different methods. Caesar concludes that conventional avocados that are within bags are more likely to be purchased in comparison to organic avocados since they tend to be cheaper and bigger in volume and size. Even though organic avocados are produced in a better environment, their prices are higher for that reason.<a name=\"cite_ref-3\"></a>[<sup>3</sup>](#cite_note-3)\n",
    "\n",
    "Despite how much work people had put into predicting the price of avocados, there are limitations to previous works. Although there are price predictions on the avocadoes, regional factors and planting methods had not been the main focus. For example, in the ‘Avocado Price Forecast,’ time of the year is considered. On the other hand, in ‘Forecasting Price Trends in the U.S. Avocado (Persea americana Mill.) Market’ by Evans and Nalampang, individuals’ disposable income and Hispanic immigration population is considered. However, production method and region are two factors that are relatively rarely discussed, which is our main focus.<a name=\"cite_ref-4\"></a>[<sup>4</sup>](#cite_note-4)\n",
    "\n",
    "**Citations** \n",
    "1. <a name='cite_note-1'></a> [1](#cite_ref-1) Bastida, Olmo. Fresh Avocado Market in the US. *ProducePay*,  5 Oct 2023., https://urldefense.com/v3/__https://producepay.com/blog/fresh-avocado-market-us/*:*:text=Price*20of*20imported*20fresh*20avocado,December*2C*20November*2C*20and*20October__;I34lJSUlJSUlJSU!!Mih3wA!B9m-XUv_p86Tp2fLGM0gqrcykqyn1IMUQlmfFBfh4olrgODtkaWaSvh6TWwBYwws57T6-LXqJNL5mUq2$ . Accessed 9 Feb. 2024. \n",
    "\n",
    "2. <a name='cite_note-2'></a> [2](#cite_ref-2) Caesar, Mario. Avocado Price Regression w/ PyCaret & EDA. *Kaggle*, 2022, https://urldefense.com/v3/__http://www.kaggle.com/code/caesarmario/avocado-price-regression-w-pycaret-eda__;!!Mih3wA!B9m-XUv_p86Tp2fLGM0gqrcykqyn1IMUQlmfFBfh4olrgODtkaWaSvh6TWwBYwws57T6-LXqJCOkbb-A$ . Accessed 9 Feb 2024. \n",
    "\n",
    "3. <a name='cite_note-3'></a> [3](#cite_ref-3) Deshpande, Tanmay, Avocado Price Forecast- ARIMA & SARIMA. *Kaggle*, 2023, https://urldefense.com/v3/__https://www.kaggle.com/code/tanmay111999/avocado-price-forecast-arima-sarima-detailed__;!!Mih3wA!B9m-XUv_p86Tp2fLGM0gqrcykqyn1IMUQlmfFBfh4olrgODtkaWaSvh6TWwBYwws57T6-LXqJM0AMfNc$ . Accessed 9 Feb. 2024.\n",
    "\n",
    "4. <a name='cite_note-4'></a> [4](#cite_ref-4) Evans, E. A., & Nalampang, S. (2009). Forecasting Price Trends in the U.S. Avocado (Persea americana Mill.) Market. Journal of Food Distribution Research, 40(2), 37–46. https://doi.org/10.22004/ag.econ.99786"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Hypothesis\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "In the United States, avocado prices are primarily affected by their production method, where organic avocados command higher prices than conventional ones. Additionally, regional variations and seasonal demand fluctuations play critical roles in price determination, leading to higher prices in regions with scarce supply or elevated demand during certain seasons.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Overview\n",
    "\n",
    "Dataset Name: Avocado_HassAvocadoBoard_20152023v1.0.1.csv\n",
    "\n",
    "Link to the Dataset: https://urldefense.com/v3/__https://www.kaggle.com/datasets/vakhariapujan/avocado-prices-and-sales-volume-2015-2023?rvi=1__;!!Mih3wA!DBn7Pr-hkl-jw-bfAGA-UeX-caZucJ37rCoQmhJCOYtElhj62i4eEiVqrx1RaMp3ZA6eoyNYp9DxTkhmtoE$\n",
    "\n",
    "Number of Observations / Entries: 53415\n",
    "\n",
    "Number of Variables / Parameters: 12\n",
    "\n",
    "This dataset provides comprehensive data on Hass avocado sales, sourced from the Hass Avocado Board. It builds on previous versions introduced on Kaggle by Justin Kiggins and later updated by Valentin Joseph to include data from 2015 up until 2021. This dataset focuses on a single type of avocado called Hass Avocado that originated from Southern California with a distinguished feature of bumpy, dark green skin. The dataset categorizes sales data by various regions and key locations within the United States, including cities and sub-regions. Notably, the aggregation of location values doesn't equate to the total for regions, which are specified as California, West, Plains, South Central, Southeast, Midsouth, Great Lakes, and Northeast. This dataset is worth investigating as it offers valuable insights into avocado sales trends between conventional and organic avocados, alongside the factors of bag sizes, across different geographical areas in the United States.\n",
    "\n",
    "Although the dataset we selected provides valuable details for our hypothesis testing, an ideal data set could slightly vary from the actual dataset. First and foremost, an ideal data set should contain abundant data entries with a minimal amount of missing entries, or, NaN values. Although our data set is structured, there is still a notable portion of rows containing NaN entries. While our dataset encompasses a broad range of regional data spanning various states and cities, it exhibits a non-uniform distribution of data points across these regions. Ideally, a well-structured dataset should feature a balanced representation, ensuring that each region is equitably reflected to allow for more accurate analysis and inference. This balance is critical for preventing any regional biases that may arise from uneven data representation and for ensuring that the insights derived are more indicative of broader patterns and trends.\n",
    "\n",
    "Further, despite the region column having the region of avocados in the same String format, they are not united in terms of unit. For example, there are some entries that are states, such as Boston or California. On the other hand, there are also some entries that are cities, such as West or Miami. However, the two problems we addressed can be fixed with some data wrangling. Despite there being some NaN values, they only come from these three columns: Small Bags, Large Bags, and X Large Bags. The other entries from these rows are still usable. We also have the option of dropping these rows. Further, we can categorize the different cities in the region columns into states, so the unit is united.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Avocado_HassAvocadoBoard_20152023v1.0.1.csv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": ""
    }
   },
   "source": [
    "To begin, we first need to import a select few of packages that will help get our data ready to make calculations and analysis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Setup for data\n",
    "%matplotlib inline\n",
    "\n",
    "import numpy as np \n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import math\n",
    "import seaborn as sns\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "pd.set_option(\"display.max_columns\", 104)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We then stored our data file into a variable named df and printed the dataset to observe what it looks like."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>AveragePrice</th>\n",
       "      <th>TotalVolume</th>\n",
       "      <th>plu4046</th>\n",
       "      <th>plu4225</th>\n",
       "      <th>plu4770</th>\n",
       "      <th>TotalBags</th>\n",
       "      <th>SmallBags</th>\n",
       "      <th>LargeBags</th>\n",
       "      <th>XLargeBags</th>\n",
       "      <th>type</th>\n",
       "      <th>region</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015-01-04</td>\n",
       "      <td>1.220000</td>\n",
       "      <td>40873.28</td>\n",
       "      <td>2819.50</td>\n",
       "      <td>28287.42</td>\n",
       "      <td>49.90</td>\n",
       "      <td>9716.46</td>\n",
       "      <td>9186.93</td>\n",
       "      <td>529.53</td>\n",
       "      <td>0.0</td>\n",
       "      <td>conventional</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015-01-04</td>\n",
       "      <td>1.790000</td>\n",
       "      <td>1373.95</td>\n",
       "      <td>57.42</td>\n",
       "      <td>153.88</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1162.65</td>\n",
       "      <td>1162.65</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>organic</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2015-01-04</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>435021.49</td>\n",
       "      <td>364302.39</td>\n",
       "      <td>23821.16</td>\n",
       "      <td>82.15</td>\n",
       "      <td>46815.79</td>\n",
       "      <td>16707.15</td>\n",
       "      <td>30108.64</td>\n",
       "      <td>0.0</td>\n",
       "      <td>conventional</td>\n",
       "      <td>Atlanta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2015-01-04</td>\n",
       "      <td>1.760000</td>\n",
       "      <td>3846.69</td>\n",
       "      <td>1500.15</td>\n",
       "      <td>938.35</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1408.19</td>\n",
       "      <td>1071.35</td>\n",
       "      <td>336.84</td>\n",
       "      <td>0.0</td>\n",
       "      <td>organic</td>\n",
       "      <td>Atlanta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2015-01-04</td>\n",
       "      <td>1.080000</td>\n",
       "      <td>788025.06</td>\n",
       "      <td>53987.31</td>\n",
       "      <td>552906.04</td>\n",
       "      <td>39995.03</td>\n",
       "      <td>141136.68</td>\n",
       "      <td>137146.07</td>\n",
       "      <td>3990.61</td>\n",
       "      <td>0.0</td>\n",
       "      <td>conventional</td>\n",
       "      <td>BaltimoreWashington</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53410</th>\n",
       "      <td>2023-12-03</td>\n",
       "      <td>1.550513</td>\n",
       "      <td>5693.91</td>\n",
       "      <td>204.64</td>\n",
       "      <td>1211.25</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4278.03</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>organic</td>\n",
       "      <td>Toledo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53411</th>\n",
       "      <td>2023-12-03</td>\n",
       "      <td>1.703920</td>\n",
       "      <td>343326.10</td>\n",
       "      <td>66808.44</td>\n",
       "      <td>132075.11</td>\n",
       "      <td>58.65</td>\n",
       "      <td>138830.45</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>organic</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53412</th>\n",
       "      <td>2023-12-03</td>\n",
       "      <td>1.618931</td>\n",
       "      <td>34834.86</td>\n",
       "      <td>15182.42</td>\n",
       "      <td>1211.38</td>\n",
       "      <td>0.00</td>\n",
       "      <td>18075.66</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>organic</td>\n",
       "      <td>WestTexNewMexico</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53413</th>\n",
       "      <td>2023-12-03</td>\n",
       "      <td>1.245406</td>\n",
       "      <td>2942.83</td>\n",
       "      <td>1058.54</td>\n",
       "      <td>7.46</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1779.19</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>organic</td>\n",
       "      <td>Wichita</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53414</th>\n",
       "      <td>2023-12-03</td>\n",
       "      <td>1.479240</td>\n",
       "      <td>2010020.72</td>\n",
       "      <td>271808.32</td>\n",
       "      <td>274480.64</td>\n",
       "      <td>63.43</td>\n",
       "      <td>1364514.02</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>organic</td>\n",
       "      <td>TotalUS</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>53415 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Date  AveragePrice  TotalVolume    plu4046    plu4225   plu4770  \\\n",
       "0      2015-01-04      1.220000     40873.28    2819.50   28287.42     49.90   \n",
       "1      2015-01-04      1.790000      1373.95      57.42     153.88      0.00   \n",
       "2      2015-01-04      1.000000    435021.49  364302.39   23821.16     82.15   \n",
       "3      2015-01-04      1.760000      3846.69    1500.15     938.35      0.00   \n",
       "4      2015-01-04      1.080000    788025.06   53987.31  552906.04  39995.03   \n",
       "...           ...           ...          ...        ...        ...       ...   \n",
       "53410  2023-12-03      1.550513      5693.91     204.64    1211.25      0.00   \n",
       "53411  2023-12-03      1.703920    343326.10   66808.44  132075.11     58.65   \n",
       "53412  2023-12-03      1.618931     34834.86   15182.42    1211.38      0.00   \n",
       "53413  2023-12-03      1.245406      2942.83    1058.54       7.46      0.00   \n",
       "53414  2023-12-03      1.479240   2010020.72  271808.32  274480.64     63.43   \n",
       "\n",
       "        TotalBags  SmallBags  LargeBags  XLargeBags          type  \\\n",
       "0         9716.46    9186.93     529.53         0.0  conventional   \n",
       "1         1162.65    1162.65       0.00         0.0       organic   \n",
       "2        46815.79   16707.15   30108.64         0.0  conventional   \n",
       "3         1408.19    1071.35     336.84         0.0       organic   \n",
       "4       141136.68  137146.07    3990.61         0.0  conventional   \n",
       "...           ...        ...        ...         ...           ...   \n",
       "53410     4278.03        NaN        NaN         NaN       organic   \n",
       "53411   138830.45        NaN        NaN         NaN       organic   \n",
       "53412    18075.66        NaN        NaN         NaN       organic   \n",
       "53413     1779.19        NaN        NaN         NaN       organic   \n",
       "53414  1364514.02        NaN        NaN         NaN       organic   \n",
       "\n",
       "                    region  \n",
       "0                   Albany  \n",
       "1                   Albany  \n",
       "2                  Atlanta  \n",
       "3                  Atlanta  \n",
       "4      BaltimoreWashington  \n",
       "...                    ...  \n",
       "53410               Toledo  \n",
       "53411                 West  \n",
       "53412     WestTexNewMexico  \n",
       "53413              Wichita  \n",
       "53414              TotalUS  \n",
       "\n",
       "[53415 rows x 12 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Import original csv file \n",
    "df = pd.read_csv(\"Avocado_HassAvocadoBoard_20152023v1.0.1.csv\")\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Based on what we can visually see, the data seems well organized with the responses also refined structurally. However, the data we can visually see are only some out of the 53415 rows. It is appropriate that we make a few changes and check our data before starting our calculations.\n",
    "\n",
    "We renamed some of the columns to make the decription of the columns more comprehendable and easier to understand what kind of data is being extracted. Here is further clarification for some of the columns:\n",
    "\n",
    "\n",
    "`Small Avocados`: The number of small/medium (3-5 oz) avocados\n",
    "\n",
    "`Large Avocados`: The number of large (8-10 oz) avocados\n",
    "\n",
    "`XLarge Avocados`: The number of extra large (10-15 oz) avocados\n",
    "\n",
    "`Small Bags`: The number of small bags of various sized avocados.\n",
    "\n",
    "`Large Bags`: The number of large bags of various sized) avocados\n",
    "\n",
    "`XLarge Bags`: The number of extra large bags of various sized avocados"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
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       "        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>Average Price (USD)</th>\n",
       "      <th>Total Volume (lbs)</th>\n",
       "      <th>Small Avocados</th>\n",
       "      <th>Large Avocados</th>\n",
       "      <th>XLarge Avocados</th>\n",
       "      <th>Total Bags</th>\n",
       "      <th>Small Bags</th>\n",
       "      <th>Large Bags</th>\n",
       "      <th>XLarge Bags</th>\n",
       "      <th>Type</th>\n",
       "      <th>Region</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015-01-04</td>\n",
       "      <td>1.220000</td>\n",
       "      <td>40873.28</td>\n",
       "      <td>2819.50</td>\n",
       "      <td>28287.42</td>\n",
       "      <td>49.90</td>\n",
       "      <td>9716.46</td>\n",
       "      <td>9186.93</td>\n",
       "      <td>529.53</td>\n",
       "      <td>0.0</td>\n",
       "      <td>conventional</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015-01-04</td>\n",
       "      <td>1.790000</td>\n",
       "      <td>1373.95</td>\n",
       "      <td>57.42</td>\n",
       "      <td>153.88</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1162.65</td>\n",
       "      <td>1162.65</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>organic</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2015-01-04</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>435021.49</td>\n",
       "      <td>364302.39</td>\n",
       "      <td>23821.16</td>\n",
       "      <td>82.15</td>\n",
       "      <td>46815.79</td>\n",
       "      <td>16707.15</td>\n",
       "      <td>30108.64</td>\n",
       "      <td>0.0</td>\n",
       "      <td>conventional</td>\n",
       "      <td>Atlanta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2015-01-04</td>\n",
       "      <td>1.760000</td>\n",
       "      <td>3846.69</td>\n",
       "      <td>1500.15</td>\n",
       "      <td>938.35</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1408.19</td>\n",
       "      <td>1071.35</td>\n",
       "      <td>336.84</td>\n",
       "      <td>0.0</td>\n",
       "      <td>organic</td>\n",
       "      <td>Atlanta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2015-01-04</td>\n",
       "      <td>1.080000</td>\n",
       "      <td>788025.06</td>\n",
       "      <td>53987.31</td>\n",
       "      <td>552906.04</td>\n",
       "      <td>39995.03</td>\n",
       "      <td>141136.68</td>\n",
       "      <td>137146.07</td>\n",
       "      <td>3990.61</td>\n",
       "      <td>0.0</td>\n",
       "      <td>conventional</td>\n",
       "      <td>BaltimoreWashington</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53410</th>\n",
       "      <td>2023-12-03</td>\n",
       "      <td>1.550513</td>\n",
       "      <td>5693.91</td>\n",
       "      <td>204.64</td>\n",
       "      <td>1211.25</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4278.03</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>organic</td>\n",
       "      <td>Toledo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53411</th>\n",
       "      <td>2023-12-03</td>\n",
       "      <td>1.703920</td>\n",
       "      <td>343326.10</td>\n",
       "      <td>66808.44</td>\n",
       "      <td>132075.11</td>\n",
       "      <td>58.65</td>\n",
       "      <td>138830.45</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>organic</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53412</th>\n",
       "      <td>2023-12-03</td>\n",
       "      <td>1.618931</td>\n",
       "      <td>34834.86</td>\n",
       "      <td>15182.42</td>\n",
       "      <td>1211.38</td>\n",
       "      <td>0.00</td>\n",
       "      <td>18075.66</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>organic</td>\n",
       "      <td>WestTexNewMexico</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53413</th>\n",
       "      <td>2023-12-03</td>\n",
       "      <td>1.245406</td>\n",
       "      <td>2942.83</td>\n",
       "      <td>1058.54</td>\n",
       "      <td>7.46</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1779.19</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>organic</td>\n",
       "      <td>Wichita</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53414</th>\n",
       "      <td>2023-12-03</td>\n",
       "      <td>1.479240</td>\n",
       "      <td>2010020.72</td>\n",
       "      <td>271808.32</td>\n",
       "      <td>274480.64</td>\n",
       "      <td>63.43</td>\n",
       "      <td>1364514.02</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>organic</td>\n",
       "      <td>TotalUS</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>53415 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Date  Average Price (USD)  Total Volume (lbs)  Small Avocados  \\\n",
       "0      2015-01-04             1.220000            40873.28         2819.50   \n",
       "1      2015-01-04             1.790000             1373.95           57.42   \n",
       "2      2015-01-04             1.000000           435021.49       364302.39   \n",
       "3      2015-01-04             1.760000             3846.69         1500.15   \n",
       "4      2015-01-04             1.080000           788025.06        53987.31   \n",
       "...           ...                  ...                 ...             ...   \n",
       "53410  2023-12-03             1.550513             5693.91          204.64   \n",
       "53411  2023-12-03             1.703920           343326.10        66808.44   \n",
       "53412  2023-12-03             1.618931            34834.86        15182.42   \n",
       "53413  2023-12-03             1.245406             2942.83         1058.54   \n",
       "53414  2023-12-03             1.479240          2010020.72       271808.32   \n",
       "\n",
       "       Large Avocados  XLarge Avocados  Total Bags  Small Bags  Large Bags  \\\n",
       "0            28287.42            49.90     9716.46     9186.93      529.53   \n",
       "1              153.88             0.00     1162.65     1162.65        0.00   \n",
       "2            23821.16            82.15    46815.79    16707.15    30108.64   \n",
       "3              938.35             0.00     1408.19     1071.35      336.84   \n",
       "4           552906.04         39995.03   141136.68   137146.07     3990.61   \n",
       "...               ...              ...         ...         ...         ...   \n",
       "53410         1211.25             0.00     4278.03         NaN         NaN   \n",
       "53411       132075.11            58.65   138830.45         NaN         NaN   \n",
       "53412         1211.38             0.00    18075.66         NaN         NaN   \n",
       "53413            7.46             0.00     1779.19         NaN         NaN   \n",
       "53414       274480.64            63.43  1364514.02         NaN         NaN   \n",
       "\n",
       "       XLarge Bags          Type               Region  \n",
       "0              0.0  conventional               Albany  \n",
       "1              0.0       organic               Albany  \n",
       "2              0.0  conventional              Atlanta  \n",
       "3              0.0       organic              Atlanta  \n",
       "4              0.0  conventional  BaltimoreWashington  \n",
       "...            ...           ...                  ...  \n",
       "53410          NaN       organic               Toledo  \n",
       "53411          NaN       organic                 West  \n",
       "53412          NaN       organic     WestTexNewMexico  \n",
       "53413          NaN       organic              Wichita  \n",
       "53414          NaN       organic              TotalUS  \n",
       "\n",
       "[53415 rows x 12 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.rename(columns = {'AveragePrice':'Average Price (USD)','TotalVolume': 'Total Volume (lbs)', 'plu4046': 'Small Avocados','plu4225': 'Large Avocados', 'plu4770': 'XLarge Avocados', 'TotalBags': 'Total Bags', 'SmallBags': 'Small Bags', 'LargeBags': 'Large Bags', 'XLargeBags': 'XLarge Bags', 'type': 'Type', 'region': 'Region' })\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we have our columns structurally organized, let's check if whether or not there are NaN values in any of the columns. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date                   False\n",
       "Average Price (USD)    False\n",
       "Total Volume (lbs)     False\n",
       "Small Avocados         False\n",
       "Large Avocados         False\n",
       "XLarge Avocados        False\n",
       "Total Bags             False\n",
       "Small Bags              True\n",
       "Large Bags              True\n",
       "XLarge Bags             True\n",
       "Type                   False\n",
       "Region                 False\n",
       "dtype: bool"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Checking for NaN values for necessary columns \n",
    "df.isnull().any()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With the stats shown, there only appears to be NaN values in these columns: Small Bags, Large Bags, and XLarge Bags. Since these columns are not our primary focus for our research question, we decided these NaN values are not significant to remove. \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We noticed that in the Average Price column, six numbers appear in after the decimal. We wanted to round the AveragePrice(USD) because having extra numbers after the decimal after two numbers is not necessary for our dataset as we do not really use that much for actual currency. Additionally, this makes it easier to work with our numbers and cleaner to look at."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    .dataframe tbody tr th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Average Price (USD)</th>\n",
       "      <th>Total Volume (lbs)</th>\n",
       "      <th>Small Avocados</th>\n",
       "      <th>Large Avocados</th>\n",
       "      <th>XLarge Avocados</th>\n",
       "      <th>Total Bags</th>\n",
       "      <th>Small Bags</th>\n",
       "      <th>Large Bags</th>\n",
       "      <th>XLarge Bags</th>\n",
       "      <th>Type</th>\n",
       "      <th>Region</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015-01-04</td>\n",
       "      <td>1.22</td>\n",
       "      <td>40873.28</td>\n",
       "      <td>2819.50</td>\n",
       "      <td>28287.42</td>\n",
       "      <td>49.90</td>\n",
       "      <td>9716.46</td>\n",
       "      <td>9186.93</td>\n",
       "      <td>529.53</td>\n",
       "      <td>0.0</td>\n",
       "      <td>conventional</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015-01-04</td>\n",
       "      <td>1.79</td>\n",
       "      <td>1373.95</td>\n",
       "      <td>57.42</td>\n",
       "      <td>153.88</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1162.65</td>\n",
       "      <td>1162.65</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>organic</td>\n",
       "      <td>Albany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2015-01-04</td>\n",
       "      <td>1.00</td>\n",
       "      <td>435021.49</td>\n",
       "      <td>364302.39</td>\n",
       "      <td>23821.16</td>\n",
       "      <td>82.15</td>\n",
       "      <td>46815.79</td>\n",
       "      <td>16707.15</td>\n",
       "      <td>30108.64</td>\n",
       "      <td>0.0</td>\n",
       "      <td>conventional</td>\n",
       "      <td>Atlanta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2015-01-04</td>\n",
       "      <td>1.76</td>\n",
       "      <td>3846.69</td>\n",
       "      <td>1500.15</td>\n",
       "      <td>938.35</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1408.19</td>\n",
       "      <td>1071.35</td>\n",
       "      <td>336.84</td>\n",
       "      <td>0.0</td>\n",
       "      <td>organic</td>\n",
       "      <td>Atlanta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2015-01-04</td>\n",
       "      <td>1.08</td>\n",
       "      <td>788025.06</td>\n",
       "      <td>53987.31</td>\n",
       "      <td>552906.04</td>\n",
       "      <td>39995.03</td>\n",
       "      <td>141136.68</td>\n",
       "      <td>137146.07</td>\n",
       "      <td>3990.61</td>\n",
       "      <td>0.0</td>\n",
       "      <td>conventional</td>\n",
       "      <td>BaltimoreWashington</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53410</th>\n",
       "      <td>2023-12-03</td>\n",
       "      <td>1.55</td>\n",
       "      <td>5693.91</td>\n",
       "      <td>204.64</td>\n",
       "      <td>1211.25</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4278.03</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>organic</td>\n",
       "      <td>Toledo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53411</th>\n",
       "      <td>2023-12-03</td>\n",
       "      <td>1.70</td>\n",
       "      <td>343326.10</td>\n",
       "      <td>66808.44</td>\n",
       "      <td>132075.11</td>\n",
       "      <td>58.65</td>\n",
       "      <td>138830.45</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>organic</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53412</th>\n",
       "      <td>2023-12-03</td>\n",
       "      <td>1.62</td>\n",
       "      <td>34834.86</td>\n",
       "      <td>15182.42</td>\n",
       "      <td>1211.38</td>\n",
       "      <td>0.00</td>\n",
       "      <td>18075.66</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>organic</td>\n",
       "      <td>WestTexNewMexico</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53413</th>\n",
       "      <td>2023-12-03</td>\n",
       "      <td>1.25</td>\n",
       "      <td>2942.83</td>\n",
       "      <td>1058.54</td>\n",
       "      <td>7.46</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1779.19</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>organic</td>\n",
       "      <td>Wichita</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53414</th>\n",
       "      <td>2023-12-03</td>\n",
       "      <td>1.48</td>\n",
       "      <td>2010020.72</td>\n",
       "      <td>271808.32</td>\n",
       "      <td>274480.64</td>\n",
       "      <td>63.43</td>\n",
       "      <td>1364514.02</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>organic</td>\n",
       "      <td>TotalUS</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>53415 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Date  Average Price (USD)  Total Volume (lbs)  Small Avocados  \\\n",
       "0      2015-01-04                 1.22            40873.28         2819.50   \n",
       "1      2015-01-04                 1.79             1373.95           57.42   \n",
       "2      2015-01-04                 1.00           435021.49       364302.39   \n",
       "3      2015-01-04                 1.76             3846.69         1500.15   \n",
       "4      2015-01-04                 1.08           788025.06        53987.31   \n",
       "...           ...                  ...                 ...             ...   \n",
       "53410  2023-12-03                 1.55             5693.91          204.64   \n",
       "53411  2023-12-03                 1.70           343326.10        66808.44   \n",
       "53412  2023-12-03                 1.62            34834.86        15182.42   \n",
       "53413  2023-12-03                 1.25             2942.83         1058.54   \n",
       "53414  2023-12-03                 1.48          2010020.72       271808.32   \n",
       "\n",
       "       Large Avocados  XLarge Avocados  Total Bags  Small Bags  Large Bags  \\\n",
       "0            28287.42            49.90     9716.46     9186.93      529.53   \n",
       "1              153.88             0.00     1162.65     1162.65        0.00   \n",
       "2            23821.16            82.15    46815.79    16707.15    30108.64   \n",
       "3              938.35             0.00     1408.19     1071.35      336.84   \n",
       "4           552906.04         39995.03   141136.68   137146.07     3990.61   \n",
       "...               ...              ...         ...         ...         ...   \n",
       "53410         1211.25             0.00     4278.03         NaN         NaN   \n",
       "53411       132075.11            58.65   138830.45         NaN         NaN   \n",
       "53412         1211.38             0.00    18075.66         NaN         NaN   \n",
       "53413            7.46             0.00     1779.19         NaN         NaN   \n",
       "53414       274480.64            63.43  1364514.02         NaN         NaN   \n",
       "\n",
       "       XLarge Bags          Type               Region  \n",
       "0              0.0  conventional               Albany  \n",
       "1              0.0       organic               Albany  \n",
       "2              0.0  conventional              Atlanta  \n",
       "3              0.0       organic              Atlanta  \n",
       "4              0.0  conventional  BaltimoreWashington  \n",
       "...            ...           ...                  ...  \n",
       "53410          NaN       organic               Toledo  \n",
       "53411          NaN       organic                 West  \n",
       "53412          NaN       organic     WestTexNewMexico  \n",
       "53413          NaN       organic              Wichita  \n",
       "53414          NaN       organic              TotalUS  \n",
       "\n",
       "[53415 rows x 12 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.round({'Average Price (USD)':2})\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array(['Albany', 'Atlanta', 'BaltimoreWashington', 'Boise', 'Boston',\n",
       "        'BuffaloRochester', 'California', 'Charlotte', 'Chicago',\n",
       "        'CincinnatiDayton', 'Columbus', 'DallasFtWorth', 'Denver',\n",
       "        'Detroit', 'GrandRapids', 'GreatLakes', 'HarrisburgScranton',\n",
       "        'HartfordSpringfield', 'Houston', 'Indianapolis', 'Jacksonville',\n",
       "        'LasVegas', 'LosAngeles', 'Louisville', 'Miami', 'Midsouth',\n",
       "        'Nashville', 'NewOrleans', 'NewYork', 'Northeast',\n",
       "        'NorthernNewEngland', 'Orlando', 'Philadelphia', 'PhoenixTucson',\n",
       "        'Pittsburgh', 'Plains', 'Portland', 'RaleighGreensboro',\n",
       "        'RichmondNorfolk', 'Roanoke', 'Sacramento', 'SanDiego',\n",
       "        'SanFrancisco', 'Seattle', 'SouthCarolina', 'SouthCentral',\n",
       "        'Southeast', 'Spokane', 'StLouis', 'Syracuse', 'Tampa', 'TotalUS',\n",
       "        'West', 'WestTexNewMexico', 'BirminghamMontgomery',\n",
       "        'PeoriaSpringfield', 'Providence', 'Toledo', 'Wichita',\n",
       "        'MiamiFtLauderdale'], dtype=object),\n",
       " array(['conventional', 'organic'], dtype=object))"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reg = df['Region'].unique()\n",
    "types = df['Type'].unique()\n",
    "reg, types"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The values under the 'Region' column vary by city name, states, and entire regions of the US (example: Midsouth). Thus, we have decided to standardize the column by creating a function that hardcodes each city to be the state that it is in. Afterwards, we remove the rows that contain regions of the US in them, as this can potentially mess with our data. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def name_changing(vals):\n",
    "    \n",
    "    if vals in ['California', 'SanFrancisco', 'SanDiego', 'LosAngeles', 'Sacramento']:\n",
    "        return 'California'\n",
    "    elif vals in ['Albany', 'BuffaloRochester', 'Syracuse']:\n",
    "        return 'New York'\n",
    "    elif vals in ['Seattle', 'Spokane']:\n",
    "        return 'Washington'\n",
    "    elif vals in ['Atlanta', 'Plains']:\n",
    "        return 'Georgia'\n",
    "    elif vals in ['Miami', 'Orlando', 'Tampa', 'MiamiFtLauderdale']:\n",
    "        return 'Florida'\n",
    "    elif vals in ['Wichita']:\n",
    "        return 'Kansas'\n",
    "    elif vals in ['Portland']:\n",
    "        return 'Oregon'\n",
    "    elif vals in ['PhoenixTucson']:\n",
    "        return 'Arizona'\n",
    "    elif vals in ['Boston']:\n",
    "        return 'Massachusetts'\n",
    "    elif vals in ['DallasFtWorth', 'Houston']:\n",
    "        return 'Texas'\n",
    "    elif vals in ['BirminghamMontgomery']:\n",
    "        return 'Alabama'\n",
    "    elif vals in ['Charlotte', 'RaleighGreensboro']:\n",
    "        return 'North Carolina'\n",
    "    elif vals in ['StLouis']:\n",
    "        return 'Missouri'\n",
    "    elif vals in ['HarrisburgScranton', 'Philadelphia', 'Pittsburgh']:\n",
    "        return 'Pennsylvania'\n",
    "    elif vals in ['CincinnatiDayton', 'Columbus', 'Toledo']:\n",
    "        return 'Ohio'\n",
    "    elif vals in ['Indianapolis']:\n",
    "        return 'Indiana'\n",
    "    elif vals in ['Detroit', 'GrandRapids', 'GreatLakes']:\n",
    "        return 'Michigan'\n",
    "    elif vals in ['Chicago', 'PeoriaSpringfield']:\n",
    "        return 'Illinois'\n",
    "    elif vals in ['Baltimore', 'BaltimoreWashington']:\n",
    "        return 'Maryland'\n",
    "    elif vals in ['Providence']:\n",
    "        return 'Rhode Island'\n",
    "    elif vals in ['Denver']:\n",
    "        return \"Colorado\"\n",
    "    elif vals in ['HartfordSpringfield']:\n",
    "        return 'Connecticut'\n",
    "    elif vals in ['LasVegas']:\n",
    "        return 'Nevada'\n",
    "    elif vals in ['Louisville']:\n",
    "        return 'Kentucky'\n",
    "    elif vals in ['Nashville']:\n",
    "        return 'Tennessee'\n",
    "    elif vals in ['NewOrleans']:\n",
    "        return 'Louisiana'\n",
    "    elif vals in ['RichmondNorfolk', 'Roanoke']:\n",
    "        return 'Virginia'\n",
    "    elif vals in ['SouthCarolina']:\n",
    "        return 'South Carolina'\n",
    "    else:\n",
    "        return 'Idaho'  #boise\n",
    "    \n",
    "    \n",
    "    #getting rid of northeast, midsouth, northern new english as it is not a state or a city so it is not very specific enough\n",
    "    #south central is vague, not sure if it means city in LA or the south central state\n",
    "    #delete total US, no idea what that means, same with west\n",
    "    #delete WestTexNewMexico\n",
    "    #jacksonville can be in different states, just made an assumption, delete it"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Deleted ambiguous rows due to the region as it can skew our data. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "values_to_delete = ['Midsouth', 'SouthCentral', 'WestTexNewMexico', 'Southeast', 'TotalUS', 'Jacksonville', 'Northeast']\n",
    "df = df[~df['Region'].isin(values_to_delete)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Albany', 'Atlanta', 'BaltimoreWashington', 'Boise', 'Boston',\n",
       "       'BuffaloRochester', 'California', 'Charlotte', 'Chicago',\n",
       "       'CincinnatiDayton', 'Columbus', 'DallasFtWorth', 'Denver',\n",
       "       'Detroit', 'GrandRapids', 'GreatLakes', 'HarrisburgScranton',\n",
       "       'HartfordSpringfield', 'Houston', 'Indianapolis', 'LasVegas',\n",
       "       'LosAngeles', 'Louisville', 'Miami', 'Nashville', 'NewOrleans',\n",
       "       'NewYork', 'NorthernNewEngland', 'Orlando', 'Philadelphia',\n",
       "       'PhoenixTucson', 'Pittsburgh', 'Plains', 'Portland',\n",
       "       'RaleighGreensboro', 'RichmondNorfolk', 'Roanoke', 'Sacramento',\n",
       "       'SanDiego', 'SanFrancisco', 'Seattle', 'SouthCarolina', 'Spokane',\n",
       "       'StLouis', 'Syracuse', 'Tampa', 'West', 'BirminghamMontgomery',\n",
       "       'PeoriaSpringfield', 'Providence', 'Toledo', 'Wichita',\n",
       "       'MiamiFtLauderdale'], dtype=object)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Region'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Applying our function to the Region column so we change the values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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>Average Price (USD)</th>\n",
       "      <th>Total Volume (lbs)</th>\n",
       "      <th>Small Avocados</th>\n",
       "      <th>Large Avocados</th>\n",
       "      <th>XLarge Avocados</th>\n",
       "      <th>Total Bags</th>\n",
       "      <th>Small Bags</th>\n",
       "      <th>Large Bags</th>\n",
       "      <th>XLarge Bags</th>\n",
       "      <th>Type</th>\n",
       "      <th>Region</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015-01-04</td>\n",
       "      <td>1.22</td>\n",
       "      <td>40873.28</td>\n",
       "      <td>2819.50</td>\n",
       "      <td>28287.42</td>\n",
       "      <td>49.90</td>\n",
       "      <td>9716.46</td>\n",
       "      <td>9186.93</td>\n",
       "      <td>529.53</td>\n",
       "      <td>0.0</td>\n",
       "      <td>conventional</td>\n",
       "      <td>New York</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015-01-04</td>\n",
       "      <td>1.79</td>\n",
       "      <td>1373.95</td>\n",
       "      <td>57.42</td>\n",
       "      <td>153.88</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1162.65</td>\n",
       "      <td>1162.65</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>organic</td>\n",
       "      <td>New York</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2015-01-04</td>\n",
       "      <td>1.00</td>\n",
       "      <td>435021.49</td>\n",
       "      <td>364302.39</td>\n",
       "      <td>23821.16</td>\n",
       "      <td>82.15</td>\n",
       "      <td>46815.79</td>\n",
       "      <td>16707.15</td>\n",
       "      <td>30108.64</td>\n",
       "      <td>0.0</td>\n",
       "      <td>conventional</td>\n",
       "      <td>Georgia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2015-01-04</td>\n",
       "      <td>1.76</td>\n",
       "      <td>3846.69</td>\n",
       "      <td>1500.15</td>\n",
       "      <td>938.35</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1408.19</td>\n",
       "      <td>1071.35</td>\n",
       "      <td>336.84</td>\n",
       "      <td>0.0</td>\n",
       "      <td>organic</td>\n",
       "      <td>Georgia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2015-01-04</td>\n",
       "      <td>1.08</td>\n",
       "      <td>788025.06</td>\n",
       "      <td>53987.31</td>\n",
       "      <td>552906.04</td>\n",
       "      <td>39995.03</td>\n",
       "      <td>141136.68</td>\n",
       "      <td>137146.07</td>\n",
       "      <td>3990.61</td>\n",
       "      <td>0.0</td>\n",
       "      <td>conventional</td>\n",
       "      <td>Maryland</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53408</th>\n",
       "      <td>2023-12-03</td>\n",
       "      <td>1.62</td>\n",
       "      <td>4947.25</td>\n",
       "      <td>154.75</td>\n",
       "      <td>194.69</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4475.54</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>organic</td>\n",
       "      <td>New York</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53409</th>\n",
       "      <td>2023-12-03</td>\n",
       "      <td>1.42</td>\n",
       "      <td>24520.55</td>\n",
       "      <td>222.70</td>\n",
       "      <td>91.35</td>\n",
       "      <td>0.00</td>\n",
       "      <td>24206.50</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>organic</td>\n",
       "      <td>Florida</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53410</th>\n",
       "      <td>2023-12-03</td>\n",
       "      <td>1.55</td>\n",
       "      <td>5693.91</td>\n",
       "      <td>204.64</td>\n",
       "      <td>1211.25</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4278.03</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>organic</td>\n",
       "      <td>Ohio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53411</th>\n",
       "      <td>2023-12-03</td>\n",
       "      <td>1.70</td>\n",
       "      <td>343326.10</td>\n",
       "      <td>66808.44</td>\n",
       "      <td>132075.11</td>\n",
       "      <td>58.65</td>\n",
       "      <td>138830.45</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>organic</td>\n",
       "      <td>Idaho</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53413</th>\n",
       "      <td>2023-12-03</td>\n",
       "      <td>1.25</td>\n",
       "      <td>2942.83</td>\n",
       "      <td>1058.54</td>\n",
       "      <td>7.46</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1779.19</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>organic</td>\n",
       "      <td>Kansas</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>46894 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Date  Average Price (USD)  Total Volume (lbs)  Small Avocados  \\\n",
       "0      2015-01-04                 1.22            40873.28         2819.50   \n",
       "1      2015-01-04                 1.79             1373.95           57.42   \n",
       "2      2015-01-04                 1.00           435021.49       364302.39   \n",
       "3      2015-01-04                 1.76             3846.69         1500.15   \n",
       "4      2015-01-04                 1.08           788025.06        53987.31   \n",
       "...           ...                  ...                 ...             ...   \n",
       "53408  2023-12-03                 1.62             4947.25          154.75   \n",
       "53409  2023-12-03                 1.42            24520.55          222.70   \n",
       "53410  2023-12-03                 1.55             5693.91          204.64   \n",
       "53411  2023-12-03                 1.70           343326.10        66808.44   \n",
       "53413  2023-12-03                 1.25             2942.83         1058.54   \n",
       "\n",
       "       Large Avocados  XLarge Avocados  Total Bags  Small Bags  Large Bags  \\\n",
       "0            28287.42            49.90     9716.46     9186.93      529.53   \n",
       "1              153.88             0.00     1162.65     1162.65        0.00   \n",
       "2            23821.16            82.15    46815.79    16707.15    30108.64   \n",
       "3              938.35             0.00     1408.19     1071.35      336.84   \n",
       "4           552906.04         39995.03   141136.68   137146.07     3990.61   \n",
       "...               ...              ...         ...         ...         ...   \n",
       "53408          194.69             0.00     4475.54         NaN         NaN   \n",
       "53409           91.35             0.00    24206.50         NaN         NaN   \n",
       "53410         1211.25             0.00     4278.03         NaN         NaN   \n",
       "53411       132075.11            58.65   138830.45         NaN         NaN   \n",
       "53413            7.46             0.00     1779.19         NaN         NaN   \n",
       "\n",
       "       XLarge Bags          Type    Region  \n",
       "0              0.0  conventional  New York  \n",
       "1              0.0       organic  New York  \n",
       "2              0.0  conventional   Georgia  \n",
       "3              0.0       organic   Georgia  \n",
       "4              0.0  conventional  Maryland  \n",
       "...            ...           ...       ...  \n",
       "53408          NaN       organic  New York  \n",
       "53409          NaN       organic   Florida  \n",
       "53410          NaN       organic      Ohio  \n",
       "53411          NaN       organic     Idaho  \n",
       "53413          NaN       organic    Kansas  \n",
       "\n",
       "[46894 rows x 12 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_col = df['Region']\n",
    "new_age_column = new_col.apply(name_changing)\n",
    "df['Region'] = new_age_column\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Making sure that everything now is a state and that there are still no ambiguous values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['New York', 'Georgia', 'Maryland', 'Idaho', 'Massachusetts',\n",
       "       'California', 'North Carolina', 'Illinois', 'Ohio', 'Texas',\n",
       "       'Colorado', 'Michigan', 'Pennsylvania', 'Connecticut', 'Indiana',\n",
       "       'Nevada', 'Kentucky', 'Florida', 'Tennessee', 'Louisiana',\n",
       "       'Arizona', 'Oregon', 'Virginia', 'Washington', 'South Carolina',\n",
       "       'Missouri', 'Alabama', 'Rhode Island', 'Kansas'], dtype=object)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Region'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe thead th {\n",
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       "    }\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>Average Price (USD)</th>\n",
       "      <th>Total Volume (lbs)</th>\n",
       "      <th>Small Avocados</th>\n",
       "      <th>Large Avocados</th>\n",
       "      <th>XLarge Avocados</th>\n",
       "      <th>Total Bags</th>\n",
       "      <th>Small Bags</th>\n",
       "      <th>Large Bags</th>\n",
       "      <th>XLarge Bags</th>\n",
       "      <th>Type</th>\n",
       "      <th>Region</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>January 2015</td>\n",
       "      <td>1.22</td>\n",
       "      <td>40873.28</td>\n",
       "      <td>2819.50</td>\n",
       "      <td>28287.42</td>\n",
       "      <td>49.90</td>\n",
       "      <td>9716.46</td>\n",
       "      <td>9186.93</td>\n",
       "      <td>529.53</td>\n",
       "      <td>0.0</td>\n",
       "      <td>conventional</td>\n",
       "      <td>New York</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>January 2015</td>\n",
       "      <td>1.79</td>\n",
       "      <td>1373.95</td>\n",
       "      <td>57.42</td>\n",
       "      <td>153.88</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1162.65</td>\n",
       "      <td>1162.65</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>organic</td>\n",
       "      <td>New York</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>January 2015</td>\n",
       "      <td>1.00</td>\n",
       "      <td>435021.49</td>\n",
       "      <td>364302.39</td>\n",
       "      <td>23821.16</td>\n",
       "      <td>82.15</td>\n",
       "      <td>46815.79</td>\n",
       "      <td>16707.15</td>\n",
       "      <td>30108.64</td>\n",
       "      <td>0.0</td>\n",
       "      <td>conventional</td>\n",
       "      <td>Georgia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>January 2015</td>\n",
       "      <td>1.76</td>\n",
       "      <td>3846.69</td>\n",
       "      <td>1500.15</td>\n",
       "      <td>938.35</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1408.19</td>\n",
       "      <td>1071.35</td>\n",
       "      <td>336.84</td>\n",
       "      <td>0.0</td>\n",
       "      <td>organic</td>\n",
       "      <td>Georgia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>January 2015</td>\n",
       "      <td>1.08</td>\n",
       "      <td>788025.06</td>\n",
       "      <td>53987.31</td>\n",
       "      <td>552906.04</td>\n",
       "      <td>39995.03</td>\n",
       "      <td>141136.68</td>\n",
       "      <td>137146.07</td>\n",
       "      <td>3990.61</td>\n",
       "      <td>0.0</td>\n",
       "      <td>conventional</td>\n",
       "      <td>Maryland</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53408</th>\n",
       "      <td>December 2023</td>\n",
       "      <td>1.62</td>\n",
       "      <td>4947.25</td>\n",
       "      <td>154.75</td>\n",
       "      <td>194.69</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4475.54</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>organic</td>\n",
       "      <td>New York</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53409</th>\n",
       "      <td>December 2023</td>\n",
       "      <td>1.42</td>\n",
       "      <td>24520.55</td>\n",
       "      <td>222.70</td>\n",
       "      <td>91.35</td>\n",
       "      <td>0.00</td>\n",
       "      <td>24206.50</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>organic</td>\n",
       "      <td>Florida</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53410</th>\n",
       "      <td>December 2023</td>\n",
       "      <td>1.55</td>\n",
       "      <td>5693.91</td>\n",
       "      <td>204.64</td>\n",
       "      <td>1211.25</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4278.03</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>organic</td>\n",
       "      <td>Ohio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53411</th>\n",
       "      <td>December 2023</td>\n",
       "      <td>1.70</td>\n",
       "      <td>343326.10</td>\n",
       "      <td>66808.44</td>\n",
       "      <td>132075.11</td>\n",
       "      <td>58.65</td>\n",
       "      <td>138830.45</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>organic</td>\n",
       "      <td>Idaho</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53413</th>\n",
       "      <td>December 2023</td>\n",
       "      <td>1.25</td>\n",
       "      <td>2942.83</td>\n",
       "      <td>1058.54</td>\n",
       "      <td>7.46</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1779.19</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>organic</td>\n",
       "      <td>Kansas</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>46894 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                Date  Average Price (USD)  Total Volume (lbs)  Small Avocados  \\\n",
       "0       January 2015                 1.22            40873.28         2819.50   \n",
       "1       January 2015                 1.79             1373.95           57.42   \n",
       "2       January 2015                 1.00           435021.49       364302.39   \n",
       "3       January 2015                 1.76             3846.69         1500.15   \n",
       "4       January 2015                 1.08           788025.06        53987.31   \n",
       "...              ...                  ...                 ...             ...   \n",
       "53408  December 2023                 1.62             4947.25          154.75   \n",
       "53409  December 2023                 1.42            24520.55          222.70   \n",
       "53410  December 2023                 1.55             5693.91          204.64   \n",
       "53411  December 2023                 1.70           343326.10        66808.44   \n",
       "53413  December 2023                 1.25             2942.83         1058.54   \n",
       "\n",
       "       Large Avocados  XLarge Avocados  Total Bags  Small Bags  Large Bags  \\\n",
       "0            28287.42            49.90     9716.46     9186.93      529.53   \n",
       "1              153.88             0.00     1162.65     1162.65        0.00   \n",
       "2            23821.16            82.15    46815.79    16707.15    30108.64   \n",
       "3              938.35             0.00     1408.19     1071.35      336.84   \n",
       "4           552906.04         39995.03   141136.68   137146.07     3990.61   \n",
       "...               ...              ...         ...         ...         ...   \n",
       "53408          194.69             0.00     4475.54         NaN         NaN   \n",
       "53409           91.35             0.00    24206.50         NaN         NaN   \n",
       "53410         1211.25             0.00     4278.03         NaN         NaN   \n",
       "53411       132075.11            58.65   138830.45         NaN         NaN   \n",
       "53413            7.46             0.00     1779.19         NaN         NaN   \n",
       "\n",
       "       XLarge Bags          Type    Region  \n",
       "0              0.0  conventional  New York  \n",
       "1              0.0       organic  New York  \n",
       "2              0.0  conventional   Georgia  \n",
       "3              0.0       organic   Georgia  \n",
       "4              0.0  conventional  Maryland  \n",
       "...            ...           ...       ...  \n",
       "53408          NaN       organic  New York  \n",
       "53409          NaN       organic   Florida  \n",
       "53410          NaN       organic      Ohio  \n",
       "53411          NaN       organic     Idaho  \n",
       "53413          NaN       organic    Kansas  \n",
       "\n",
       "[46894 rows x 12 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Date'] = pd.to_datetime(df.Date)\n",
    "df['Date'] = df['Date'].dt.strftime('%B %Y')\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We created a graph to show the average price of conventional (blue) and organic (orange) avocados over the month and year. The purpose is to get a feel for our data distributions and what the prices among types of avocados are over time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 3600x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "year_avgpr = plt.figure(figsize = (50, 10))\n",
    "year_avgpr = sns.lineplot(x = 'Date', y = 'Average Price (USD)', hue = 'Type', data = df)\n",
    "plt.xticks(rotation = 90)\n",
    "year_avgpr = plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The graph below demonstrates the number of entries per region and per type. This is important for understanding the number of avocados sold based on how much of the data was recorded per region."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='count', ylabel='Region'>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "color_palette = ['skyblue', 'purple']\n",
    "sns.countplot(y = 'Region', hue = 'Type', palette = color_palette, data = df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Region          Type        \n",
       "Alabama         conventional     309\n",
       "                organic          309\n",
       "Arizona         conventional     466\n",
       "                organic          466\n",
       "California      conventional    2330\n",
       "                organic         2330\n",
       "Colorado        conventional     466\n",
       "                organic          466\n",
       "Connecticut     conventional     466\n",
       "                organic          466\n",
       "Florida         conventional    1398\n",
       "                organic         1398\n",
       "Georgia         conventional     932\n",
       "                organic          932\n",
       "Idaho           conventional    1864\n",
       "                organic         1864\n",
       "Illinois        conventional     775\n",
       "                organic          775\n",
       "Indiana         conventional     466\n",
       "                organic          466\n",
       "Kansas          conventional     309\n",
       "                organic          309\n",
       "Kentucky        conventional     466\n",
       "                organic          466\n",
       "Louisiana       conventional     466\n",
       "                organic          466\n",
       "Maryland        conventional     466\n",
       "                organic          466\n",
       "Massachusetts   conventional     466\n",
       "                organic          466\n",
       "Michigan        conventional    1398\n",
       "                organic         1398\n",
       "Missouri        conventional     466\n",
       "                organic          466\n",
       "Nevada          conventional     466\n",
       "                organic          466\n",
       "New York        conventional    1398\n",
       "                organic         1398\n",
       "North Carolina  conventional     932\n",
       "                organic          932\n",
       "Ohio            conventional    1241\n",
       "                organic         1241\n",
       "Oregon          conventional     466\n",
       "                organic          466\n",
       "Pennsylvania    conventional    1398\n",
       "                organic         1398\n",
       "Rhode Island    conventional     309\n",
       "                organic          309\n",
       "South Carolina  conventional     466\n",
       "                organic          466\n",
       "Tennessee       conventional     466\n",
       "                organic          466\n",
       "Texas           conventional     932\n",
       "                organic          932\n",
       "Virginia        conventional     932\n",
       "                organic          932\n",
       "Washington      conventional     932\n",
       "                organic          932\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[['Region', 'Type']].groupby(['Region','Type']).value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Ethics & Privacy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our data doesn’t involve human subjects, so there is no concern for informed consent. They don’t have PII concerns. We believe the avocados will not request for their personal information to be removed. Overall, since we are not using human subjects, there should be no biases, privacy, or terms of concern. Furthermore, since we found our data online, we do not plan on deleting the data after using them. The price of avocados and their origins are transparent online. We do not consider securing the data since they are transparent and can be found online.\n",
    "\n",
    "One bias our dataset might have is that we can only include the avocados that are sold in bigger institutions, such as supermarkets. Smaller individuals, such as farmers selling small amounts of avocados might not be accounted for. However, since we are just focusing on the impact of regions and production methods on the prices, these small individual sellers shouldn’t do much on the statistics. Since they don’t have much impact on the overall avocado prices and they appear randomly, they can be disregarded in our data analysis.\n",
    "\n",
    "Another impact that our project will have is that we might come to conclusions of the avocados based on their origin. People might be inclined to buy avocados from one origin and discriminate against avocados from another origin. We will address this in our writeup by stating that our data is based on transparent data collected previously. Avocado prices in different areas might fluctuate in the future and become the opposite of our conclusions."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Team Expectations "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "* *Team Expectation 1*:  Punctual Participation: All team members are expected to attend meetings promptly. Should illness or unavoidable circumstances arise, members are encouraged to participate virtually to maintain continuity.\n",
    "* *Team Expectation 2*: Effective Communication: We prioritize clear, timely, and constructive communication. Keeping all members informed and engaged is essential for our collective success.\n",
    "* *Team Expectation 3*: Mutual Respect Towards Teammates: Every team member deserves to be treated with dignity and respect. We commit to fostering an inclusive environment where diverse perspectives are valued and encouraged.\n",
    "* *Team Expectation 4*: Active Contribution and Collaboration: Each member is expected to actively contribute to our project by sharing ideas, taking on tasks, and collaborating with others. Our goal is to leverage our collective strengths to achieve our research objectives.\n",
    "\n",
    "By adhering to these expectations, our group aims to create a productive, supportive, and respectful team dynamic conducive to our project's success.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Project Timeline Proposal"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Specify your team's specific project timeline. An example timeline has been provided. Changes the dates, times, names, and details to fit your group's plan.\n",
    "\n",
    "If you think you will need any special resources or training outside what we have covered in COGS 108 to solve your problem, then your proposal should state these clearly. For example, if you have selected a problem that involves implementing multiple neural networks, please state this so we can make sure you know what you’re doing and so we can point you to resources you will need to implement your project. Note that you are not required to use outside methods.\n",
    "\n",
    "\n",
    "\n",
    "| Meeting Date  | Meeting Time| Completed Before Meeting  | Discuss at Meeting |\n",
    "|---|---|---|---|\n",
    "| 2/8  |  1 PM | Read & Think about COGS 108 expectations; brainstorm topics/questions  | Determine best form of communication; Discuss and decide on final project topic; discuss hypothesis; begin background research | \n",
    "| 2/10  |  10 AM |  Do background research on topic | Discuss ideal dataset(s) and ethics; draft project proposal | \n",
    "| 2/13  | 3 PM   | Read and understand checkpoint #1, brainstorm the project | Discuss how we can tackle our project as we continue the project | \n",
    "| 2/18  | 10 AM  | Edit, finalize, and submit proposal; Search for datasets  | Discuss Wrangling and possible analytical approaches; Assign group members to lead each specific part for Checkpoint #1   |\n",
    "| 2/22  | 6 PM  | Import & Wrangle Data; EDA | Review/Edit wrangling/EDA; Discuss Analysis Plan   |\n",
    "| 2/25  | 12 PM  | Finalize wrangling/EDA; Begin Analysis| Discuss/edit Analysis; Complete project check-in,submit as a group. |\n",
    "| 3/2  | 7 PM   | Understand what we need to get done for checkpoint #2, prepare questions if needed for this part | Discuss what we should do for checkpoint #2 and assign members their part for this section | \n",
    "| 3/5   | 3 PM |  Continue doing parts for checkpoint #2  | Discuss if someone needs extra help for their part and update each other on what we each need so we know what we need to focus on | \n",
    "| 3/9   | 1 PM  | Review each other's parts and see what we have done for this checkpoint | Work collaboratively as a group during this checkpoint to get as much done to catch everyone up on their parts | \n",
    "| 3/10   | 1 PM   | Continue to review each other's part to make sure that everyone is caught up and that we are not behind | Finalize Checkpoint #2 to make sure that it is ready to submit | \n",
    "| 3/11   | 6 PM | Read the final report requirements | Discussion about the final report and make sure members are aware of what we are doing | \n",
    "| 3/13  | 12 PM  | Complete analysis; Draft results/conclusion/discussion (Wasp)| Discuss/edit full project |\n",
    "| 3/15  | 5 PM | Review each other's work for the Final Report | Comment on what else needs editing and finalization for what other members should do for their part and make sure that we have everything that is required for the Final Report. | \n",
    "| 3/19  | Before 11:59 PM  | Review Final Report to make sure that it is ready to submit  | Finalize the Final Report and turn in Final Project & Group Project Surveys | \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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