From adc0bcfe47e37b18e22f100bf51380d3bc401b55 Mon Sep 17 00:00:00 2001
From: Jim Bennett <jim.bennett@microsoft.com>
Date: Tue, 14 Feb 2023 17:16:30 -0800
Subject: [PATCH] Correcting the column used in the scatter plot

The notebook plots the `Month` column, but should be the `DayOfYear` column to align with the text. This change fixes that plot.

It also clears the output, as this feels like good practice, and is necessary as the plot will be different with the correct column being used.
---
 2-Regression/3-Linear/notebook.ipynb | 345 +--------------------------
 1 file changed, 7 insertions(+), 338 deletions(-)

diff --git a/2-Regression/3-Linear/notebook.ipynb b/2-Regression/3-Linear/notebook.ipynb
index 2da56e5b..f0aa556f 100644
--- a/2-Regression/3-Linear/notebook.ipynb
+++ b/2-Regression/3-Linear/notebook.ipynb
@@ -16,209 +16,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "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>City Name</th>\n",
-       "      <th>Type</th>\n",
-       "      <th>Package</th>\n",
-       "      <th>Variety</th>\n",
-       "      <th>Sub Variety</th>\n",
-       "      <th>Grade</th>\n",
-       "      <th>Date</th>\n",
-       "      <th>Low Price</th>\n",
-       "      <th>High Price</th>\n",
-       "      <th>Mostly Low</th>\n",
-       "      <th>...</th>\n",
-       "      <th>Unit of Sale</th>\n",
-       "      <th>Quality</th>\n",
-       "      <th>Condition</th>\n",
-       "      <th>Appearance</th>\n",
-       "      <th>Storage</th>\n",
-       "      <th>Crop</th>\n",
-       "      <th>Repack</th>\n",
-       "      <th>Trans Mode</th>\n",
-       "      <th>Unnamed: 24</th>\n",
-       "      <th>Unnamed: 25</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>BALTIMORE</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>24 inch bins</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>4/29/17</td>\n",
-       "      <td>270.0</td>\n",
-       "      <td>280.0</td>\n",
-       "      <td>270.0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>E</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>BALTIMORE</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>24 inch bins</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>5/6/17</td>\n",
-       "      <td>270.0</td>\n",
-       "      <td>280.0</td>\n",
-       "      <td>270.0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>E</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>BALTIMORE</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>24 inch bins</td>\n",
-       "      <td>HOWDEN TYPE</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>9/24/16</td>\n",
-       "      <td>160.0</td>\n",
-       "      <td>160.0</td>\n",
-       "      <td>160.0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>N</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>BALTIMORE</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>24 inch bins</td>\n",
-       "      <td>HOWDEN TYPE</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>9/24/16</td>\n",
-       "      <td>160.0</td>\n",
-       "      <td>160.0</td>\n",
-       "      <td>160.0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>N</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>BALTIMORE</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>24 inch bins</td>\n",
-       "      <td>HOWDEN TYPE</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>11/5/16</td>\n",
-       "      <td>90.0</td>\n",
-       "      <td>100.0</td>\n",
-       "      <td>90.0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>N</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 26 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   City Name Type       Package      Variety Sub Variety  Grade     Date  \\\n",
-       "0  BALTIMORE  NaN  24 inch bins          NaN         NaN    NaN  4/29/17   \n",
-       "1  BALTIMORE  NaN  24 inch bins          NaN         NaN    NaN   5/6/17   \n",
-       "2  BALTIMORE  NaN  24 inch bins  HOWDEN TYPE         NaN    NaN  9/24/16   \n",
-       "3  BALTIMORE  NaN  24 inch bins  HOWDEN TYPE         NaN    NaN  9/24/16   \n",
-       "4  BALTIMORE  NaN  24 inch bins  HOWDEN TYPE         NaN    NaN  11/5/16   \n",
-       "\n",
-       "   Low Price  High Price  Mostly Low  ...  Unit of Sale Quality Condition  \\\n",
-       "0      270.0       280.0       270.0  ...           NaN     NaN       NaN   \n",
-       "1      270.0       280.0       270.0  ...           NaN     NaN       NaN   \n",
-       "2      160.0       160.0       160.0  ...           NaN     NaN       NaN   \n",
-       "3      160.0       160.0       160.0  ...           NaN     NaN       NaN   \n",
-       "4       90.0       100.0        90.0  ...           NaN     NaN       NaN   \n",
-       "\n",
-       "  Appearance Storage  Crop Repack  Trans Mode  Unnamed: 24  Unnamed: 25  \n",
-       "0        NaN     NaN   NaN      E         NaN          NaN          NaN  \n",
-       "1        NaN     NaN   NaN      E         NaN          NaN          NaN  \n",
-       "2        NaN     NaN   NaN      N         NaN          NaN          NaN  \n",
-       "3        NaN     NaN   NaN      N         NaN          NaN          NaN  \n",
-       "4        NaN     NaN   NaN      N         NaN          NaN          NaN  \n",
-       "\n",
-       "[5 rows x 26 columns]"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "import pandas as pd\n",
     "import matplotlib.pyplot as plt\n",
@@ -232,115 +32,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "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>Month</th>\n",
-       "      <th>Variety</th>\n",
-       "      <th>City</th>\n",
-       "      <th>Package</th>\n",
-       "      <th>Low Price</th>\n",
-       "      <th>High Price</th>\n",
-       "      <th>Price</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>70</th>\n",
-       "      <td>9</td>\n",
-       "      <td>PIE TYPE</td>\n",
-       "      <td>BALTIMORE</td>\n",
-       "      <td>1 1/9 bushel cartons</td>\n",
-       "      <td>15.0</td>\n",
-       "      <td>15.0</td>\n",
-       "      <td>13.636364</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>71</th>\n",
-       "      <td>9</td>\n",
-       "      <td>PIE TYPE</td>\n",
-       "      <td>BALTIMORE</td>\n",
-       "      <td>1 1/9 bushel cartons</td>\n",
-       "      <td>18.0</td>\n",
-       "      <td>18.0</td>\n",
-       "      <td>16.363636</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>72</th>\n",
-       "      <td>10</td>\n",
-       "      <td>PIE TYPE</td>\n",
-       "      <td>BALTIMORE</td>\n",
-       "      <td>1 1/9 bushel cartons</td>\n",
-       "      <td>18.0</td>\n",
-       "      <td>18.0</td>\n",
-       "      <td>16.363636</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>73</th>\n",
-       "      <td>10</td>\n",
-       "      <td>PIE TYPE</td>\n",
-       "      <td>BALTIMORE</td>\n",
-       "      <td>1 1/9 bushel cartons</td>\n",
-       "      <td>17.0</td>\n",
-       "      <td>17.0</td>\n",
-       "      <td>15.454545</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>74</th>\n",
-       "      <td>10</td>\n",
-       "      <td>PIE TYPE</td>\n",
-       "      <td>BALTIMORE</td>\n",
-       "      <td>1 1/9 bushel cartons</td>\n",
-       "      <td>15.0</td>\n",
-       "      <td>15.0</td>\n",
-       "      <td>13.636364</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "    Month   Variety       City               Package  Low Price  High Price  \\\n",
-       "70      9  PIE TYPE  BALTIMORE  1 1/9 bushel cartons       15.0        15.0   \n",
-       "71      9  PIE TYPE  BALTIMORE  1 1/9 bushel cartons       18.0        18.0   \n",
-       "72     10  PIE TYPE  BALTIMORE  1 1/9 bushel cartons       18.0        18.0   \n",
-       "73     10  PIE TYPE  BALTIMORE  1 1/9 bushel cartons       17.0        17.0   \n",
-       "74     10  PIE TYPE  BALTIMORE  1 1/9 bushel cartons       15.0        15.0   \n",
-       "\n",
-       "        Price  \n",
-       "70  13.636364  \n",
-       "71  16.363636  \n",
-       "72  16.363636  \n",
-       "73  15.454545  \n",
-       "74  13.636364  "
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "pumpkins = pumpkins[pumpkins['Package'].str.contains('bushel', case=True, regex=True)]\n",
     "\n",
@@ -377,37 +71,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(array([ 7.5,  8. ,  8.5,  9. ,  9.5, 10. , 10.5, 11. , 11.5, 12. , 12.5]),\n",
-       " <a list of 11 Text major ticklabel objects>)"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
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-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "import matplotlib.pyplot as plt\n",
-    "plt.scatter('Month','Price',data=new_pumpkins)"
+    "plt.scatter('DayOfYear','Price',data=new_pumpkins)"
    ]
   },
   {