From 87b2379523b746c9891281f8bb0a9bcbb1b2d491 Mon Sep 17 00:00:00 2001
From: "Li, Jiayi" <76764434+jiayili7@users.noreply.github.com>
Date: Sat, 23 Nov 2024 12:33:44 -0800
Subject: [PATCH] fix: comment out code for milestone 1 release

---
 yellow_taxi_analysis.ipynb | 1001 +++++++++++++++++++++++++++++++++++-
 yellow_taxi_analysis.pdf   |  Bin 169802 -> 2177156 bytes
 2 files changed, 977 insertions(+), 24 deletions(-)

diff --git a/yellow_taxi_analysis.ipynb b/yellow_taxi_analysis.ipynb
index 1d86d1f..61b5e12 100644
--- a/yellow_taxi_analysis.ipynb
+++ b/yellow_taxi_analysis.ipynb
@@ -112,9 +112,208 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "metadata": {},
-   "outputs": [],
+   "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>VendorID</th>\n",
+       "      <th>tpep_pickup_datetime</th>\n",
+       "      <th>tpep_dropoff_datetime</th>\n",
+       "      <th>passenger_count</th>\n",
+       "      <th>trip_distance</th>\n",
+       "      <th>RatecodeID</th>\n",
+       "      <th>store_and_fwd_flag</th>\n",
+       "      <th>PULocationID</th>\n",
+       "      <th>DOLocationID</th>\n",
+       "      <th>payment_type</th>\n",
+       "      <th>fare_amount</th>\n",
+       "      <th>extra</th>\n",
+       "      <th>mta_tax</th>\n",
+       "      <th>tip_amount</th>\n",
+       "      <th>tolls_amount</th>\n",
+       "      <th>improvement_surcharge</th>\n",
+       "      <th>total_amount</th>\n",
+       "      <th>congestion_surcharge</th>\n",
+       "      <th>Airport_fee</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2688292</th>\n",
+       "      <td>2</td>\n",
+       "      <td>2024-01-30 17:40:12</td>\n",
+       "      <td>2024-01-30 17:47:05</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0.78</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>N</td>\n",
+       "      <td>230</td>\n",
+       "      <td>186</td>\n",
+       "      <td>2</td>\n",
+       "      <td>7.90</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>0.5</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>14.40</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2956481</th>\n",
+       "      <td>2</td>\n",
+       "      <td>2024-01-29 12:25:03</td>\n",
+       "      <td>2024-01-29 12:53:32</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7.21</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "      <td>236</td>\n",
+       "      <td>211</td>\n",
+       "      <td>0</td>\n",
+       "      <td>34.73</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.5</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>38.73</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2203446</th>\n",
+       "      <td>2</td>\n",
+       "      <td>2024-01-25 16:21:38</td>\n",
+       "      <td>2024-01-25 16:36:41</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2.21</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>N</td>\n",
+       "      <td>211</td>\n",
+       "      <td>68</td>\n",
+       "      <td>1</td>\n",
+       "      <td>15.60</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>0.5</td>\n",
+       "      <td>4.42</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>26.52</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2436695</th>\n",
+       "      <td>2</td>\n",
+       "      <td>2024-01-27 20:06:28</td>\n",
+       "      <td>2024-01-27 20:41:05</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>4.85</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>N</td>\n",
+       "      <td>68</td>\n",
+       "      <td>236</td>\n",
+       "      <td>1</td>\n",
+       "      <td>32.40</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.5</td>\n",
+       "      <td>3.74</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>41.14</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2063582</th>\n",
+       "      <td>2</td>\n",
+       "      <td>2024-01-24 09:47:54</td>\n",
+       "      <td>2024-01-24 10:03:31</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.40</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>N</td>\n",
+       "      <td>161</td>\n",
+       "      <td>186</td>\n",
+       "      <td>1</td>\n",
+       "      <td>14.20</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.5</td>\n",
+       "      <td>3.64</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>21.84</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         VendorID tpep_pickup_datetime tpep_dropoff_datetime  passenger_count  \\\n",
+       "2688292         2  2024-01-30 17:40:12   2024-01-30 17:47:05              2.0   \n",
+       "2956481         2  2024-01-29 12:25:03   2024-01-29 12:53:32              NaN   \n",
+       "2203446         2  2024-01-25 16:21:38   2024-01-25 16:36:41              1.0   \n",
+       "2436695         2  2024-01-27 20:06:28   2024-01-27 20:41:05              1.0   \n",
+       "2063582         2  2024-01-24 09:47:54   2024-01-24 10:03:31              1.0   \n",
+       "\n",
+       "         trip_distance  RatecodeID store_and_fwd_flag  PULocationID  \\\n",
+       "2688292           0.78         1.0                  N           230   \n",
+       "2956481           7.21         NaN               None           236   \n",
+       "2203446           2.21         1.0                  N           211   \n",
+       "2436695           4.85         1.0                  N            68   \n",
+       "2063582           1.40         1.0                  N           161   \n",
+       "\n",
+       "         DOLocationID  payment_type  fare_amount  extra  mta_tax  tip_amount  \\\n",
+       "2688292           186             2         7.90    2.5      0.5        0.00   \n",
+       "2956481           211             0        34.73    0.0      0.5        0.00   \n",
+       "2203446            68             1        15.60    2.5      0.5        4.42   \n",
+       "2436695           236             1        32.40    1.0      0.5        3.74   \n",
+       "2063582           186             1        14.20    0.0      0.5        3.64   \n",
+       "\n",
+       "         tolls_amount  improvement_surcharge  total_amount  \\\n",
+       "2688292           0.0                    1.0         14.40   \n",
+       "2956481           0.0                    1.0         38.73   \n",
+       "2203446           0.0                    1.0         26.52   \n",
+       "2436695           0.0                    1.0         41.14   \n",
+       "2063582           0.0                    1.0         21.84   \n",
+       "\n",
+       "         congestion_surcharge  Airport_fee  \n",
+       "2688292                   2.5          0.0  \n",
+       "2956481                   NaN          NaN  \n",
+       "2203446                   2.5          0.0  \n",
+       "2436695                   2.5          0.0  \n",
+       "2063582                   2.5          0.0  "
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "import pandas as pd\n",
     "import altair as alt\n",
@@ -138,7 +337,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -158,9 +357,280 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 16,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>VendorID</th>\n",
+       "      <th>tpep_pickup_datetime</th>\n",
+       "      <th>tpep_dropoff_datetime</th>\n",
+       "      <th>passenger_count</th>\n",
+       "      <th>trip_distance</th>\n",
+       "      <th>RatecodeID</th>\n",
+       "      <th>PULocationID</th>\n",
+       "      <th>DOLocationID</th>\n",
+       "      <th>payment_type</th>\n",
+       "      <th>fare_amount</th>\n",
+       "      <th>extra</th>\n",
+       "      <th>mta_tax</th>\n",
+       "      <th>tip_amount</th>\n",
+       "      <th>tolls_amount</th>\n",
+       "      <th>improvement_surcharge</th>\n",
+       "      <th>total_amount</th>\n",
+       "      <th>congestion_surcharge</th>\n",
+       "      <th>Airport_fee</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>21000.000000</td>\n",
+       "      <td>21000</td>\n",
+       "      <td>21000</td>\n",
+       "      <td>19973.000000</td>\n",
+       "      <td>21000.000000</td>\n",
+       "      <td>19973.000000</td>\n",
+       "      <td>21000.000000</td>\n",
+       "      <td>21000.000000</td>\n",
+       "      <td>21000.000000</td>\n",
+       "      <td>21000.000000</td>\n",
+       "      <td>21000.000000</td>\n",
+       "      <td>21000.000000</td>\n",
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+       "      <td>21000.000000</td>\n",
+       "      <td>19973.000000</td>\n",
+       "      <td>19973.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>1.752190</td>\n",
+       "      <td>2024-01-17 01:47:00.986333</td>\n",
+       "      <td>2024-01-17 02:02:19.647285</td>\n",
+       "      <td>1.333250</td>\n",
+       "      <td>3.205553</td>\n",
+       "      <td>2.033695</td>\n",
+       "      <td>165.763762</td>\n",
+       "      <td>165.775762</td>\n",
+       "      <td>1.169524</td>\n",
+       "      <td>18.099862</td>\n",
+       "      <td>1.453586</td>\n",
+       "      <td>0.483095</td>\n",
+       "      <td>3.318175</td>\n",
+       "      <td>0.521250</td>\n",
+       "      <td>0.973790</td>\n",
+       "      <td>26.693330</td>\n",
+       "      <td>2.251089</td>\n",
+       "      <td>0.142730</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>2024-01-01 00:06:10</td>\n",
+       "      <td>2024-01-01 00:10:03</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>-150.000000</td>\n",
+       "      <td>-7.500000</td>\n",
+       "      <td>-0.500000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>-21.940000</td>\n",
+       "      <td>-1.000000</td>\n",
+       "      <td>-155.250000</td>\n",
+       "      <td>-2.500000</td>\n",
+       "      <td>-1.750000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>2024-01-09 17:18:02</td>\n",
+       "      <td>2024-01-09 17:37:35.750000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>132.000000</td>\n",
+       "      <td>114.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>8.600000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.500000</td>\n",
+       "      <td>0.932500</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>15.400000</td>\n",
+       "      <td>2.500000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>2024-01-17 11:00:56.500000</td>\n",
+       "      <td>2024-01-17 11:16:55</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.680000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>162.000000</td>\n",
+       "      <td>163.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>12.800000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.500000</td>\n",
+       "      <td>2.720000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>20.120000</td>\n",
+       "      <td>2.500000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>2024-01-24 18:57:54</td>\n",
+       "      <td>2024-01-24 19:12:33.250000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>3.090000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>234.000000</td>\n",
+       "      <td>235.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>19.985000</td>\n",
+       "      <td>2.500000</td>\n",
+       "      <td>0.500000</td>\n",
+       "      <td>4.140000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>28.400000</td>\n",
+       "      <td>2.500000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>6.000000</td>\n",
+       "      <td>2024-01-31 23:56:14</td>\n",
+       "      <td>2024-02-01 00:15:56</td>\n",
+       "      <td>8.000000</td>\n",
+       "      <td>68.480000</td>\n",
+       "      <td>99.000000</td>\n",
+       "      <td>265.000000</td>\n",
+       "      <td>265.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>600.000000</td>\n",
+       "      <td>11.750000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>93.270000</td>\n",
+       "      <td>62.750000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>601.000000</td>\n",
+       "      <td>2.500000</td>\n",
+       "      <td>1.750000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>0.433951</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.826226</td>\n",
+       "      <td>4.344470</td>\n",
+       "      <td>9.661687</td>\n",
+       "      <td>63.727982</td>\n",
+       "      <td>69.307081</td>\n",
+       "      <td>0.600034</td>\n",
+       "      <td>18.255949</td>\n",
+       "      <td>1.814640</td>\n",
+       "      <td>0.122477</td>\n",
+       "      <td>3.857285</td>\n",
+       "      <td>2.133357</td>\n",
+       "      <td>0.226317</td>\n",
+       "      <td>22.870276</td>\n",
+       "      <td>0.839181</td>\n",
+       "      <td>0.489739</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           VendorID        tpep_pickup_datetime       tpep_dropoff_datetime  \\\n",
+       "count  21000.000000                       21000                       21000   \n",
+       "mean       1.752190  2024-01-17 01:47:00.986333  2024-01-17 02:02:19.647285   \n",
+       "min        1.000000         2024-01-01 00:06:10         2024-01-01 00:10:03   \n",
+       "25%        2.000000         2024-01-09 17:18:02  2024-01-09 17:37:35.750000   \n",
+       "50%        2.000000  2024-01-17 11:00:56.500000         2024-01-17 11:16:55   \n",
+       "75%        2.000000         2024-01-24 18:57:54  2024-01-24 19:12:33.250000   \n",
+       "max        6.000000         2024-01-31 23:56:14         2024-02-01 00:15:56   \n",
+       "std        0.433951                         NaN                         NaN   \n",
+       "\n",
+       "       passenger_count  trip_distance    RatecodeID  PULocationID  \\\n",
+       "count     19973.000000   21000.000000  19973.000000  21000.000000   \n",
+       "mean          1.333250       3.205553      2.033695    165.763762   \n",
+       "min           0.000000       0.000000      1.000000      1.000000   \n",
+       "25%           1.000000       1.000000      1.000000    132.000000   \n",
+       "50%           1.000000       1.680000      1.000000    162.000000   \n",
+       "75%           1.000000       3.090000      1.000000    234.000000   \n",
+       "max           8.000000      68.480000     99.000000    265.000000   \n",
+       "std           0.826226       4.344470      9.661687     63.727982   \n",
+       "\n",
+       "       DOLocationID  payment_type   fare_amount         extra       mta_tax  \\\n",
+       "count  21000.000000  21000.000000  21000.000000  21000.000000  21000.000000   \n",
+       "mean     165.775762      1.169524     18.099862      1.453586      0.483095   \n",
+       "min        1.000000      0.000000   -150.000000     -7.500000     -0.500000   \n",
+       "25%      114.000000      1.000000      8.600000      0.000000      0.500000   \n",
+       "50%      163.000000      1.000000     12.800000      1.000000      0.500000   \n",
+       "75%      235.000000      1.000000     19.985000      2.500000      0.500000   \n",
+       "max      265.000000      4.000000    600.000000     11.750000      4.000000   \n",
+       "std       69.307081      0.600034     18.255949      1.814640      0.122477   \n",
+       "\n",
+       "         tip_amount  tolls_amount  improvement_surcharge  total_amount  \\\n",
+       "count  21000.000000  21000.000000           21000.000000  21000.000000   \n",
+       "mean       3.318175      0.521250               0.973790     26.693330   \n",
+       "min        0.000000    -21.940000              -1.000000   -155.250000   \n",
+       "25%        0.932500      0.000000               1.000000     15.400000   \n",
+       "50%        2.720000      0.000000               1.000000     20.120000   \n",
+       "75%        4.140000      0.000000               1.000000     28.400000   \n",
+       "max       93.270000     62.750000               1.000000    601.000000   \n",
+       "std        3.857285      2.133357               0.226317     22.870276   \n",
+       "\n",
+       "       congestion_surcharge   Airport_fee  \n",
+       "count          19973.000000  19973.000000  \n",
+       "mean               2.251089      0.142730  \n",
+       "min               -2.500000     -1.750000  \n",
+       "25%                2.500000      0.000000  \n",
+       "50%                2.500000      0.000000  \n",
+       "75%                2.500000      0.000000  \n",
+       "max                2.500000      1.750000  \n",
+       "std                0.839181      0.489739  "
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "train_df.describe()"
    ]
@@ -181,9 +651,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 17,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "DataTransformerRegistry.enable('vegafusion')"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# !pip install \"vegafusion[embed]>=1.5.0\"\n",
     "\n",
@@ -192,9 +673,88 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 18,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "<style>\n",
+       "  #altair-viz-bb8186029e3340eda1a722a5b4df6c7b.vega-embed {\n",
+       "    width: 100%;\n",
+       "    display: flex;\n",
+       "  }\n",
+       "\n",
+       "  #altair-viz-bb8186029e3340eda1a722a5b4df6c7b.vega-embed details,\n",
+       "  #altair-viz-bb8186029e3340eda1a722a5b4df6c7b.vega-embed details summary {\n",
+       "    position: relative;\n",
+       "  }\n",
+       "</style>\n",
+       "<div id=\"altair-viz-bb8186029e3340eda1a722a5b4df6c7b\"></div>\n",
+       "<script type=\"text/javascript\">\n",
+       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
+       "  (function(spec, embedOpt){\n",
+       "    let outputDiv = document.currentScript.previousElementSibling;\n",
+       "    if (outputDiv.id !== \"altair-viz-bb8186029e3340eda1a722a5b4df6c7b\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-bb8186029e3340eda1a722a5b4df6c7b\");\n",
+       "    }\n",
+       "    const paths = {\n",
+       "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
+       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm/vega-lib?noext\",\n",
+       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm/vega-lite@5.20.1?noext\",\n",
+       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm/vega-embed@6?noext\",\n",
+       "    };\n",
+       "\n",
+       "    function maybeLoadScript(lib, version) {\n",
+       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
+       "      return (VEGA_DEBUG[key] == version) ?\n",
+       "        Promise.resolve(paths[lib]) :\n",
+       "        new Promise(function(resolve, reject) {\n",
+       "          var s = document.createElement('script');\n",
+       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
+       "          s.async = true;\n",
+       "          s.onload = () => {\n",
+       "            VEGA_DEBUG[key] = version;\n",
+       "            return resolve(paths[lib]);\n",
+       "          };\n",
+       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
+       "          s.src = paths[lib];\n",
+       "        });\n",
+       "    }\n",
+       "\n",
+       "    function showError(err) {\n",
+       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
+       "      throw err;\n",
+       "    }\n",
+       "\n",
+       "    function displayChart(vegaEmbed) {\n",
+       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
+       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
+       "    }\n",
+       "\n",
+       "    if(typeof define === \"function\" && define.amd) {\n",
+       "      requirejs.config({paths});\n",
+       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
+       "    } else {\n",
+       "      maybeLoadScript(\"vega\", \"5\")\n",
+       "        .then(() => maybeLoadScript(\"vega-lite\", \"5.20.1\"))\n",
+       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
+       "        .catch(showError)\n",
+       "        .then(() => displayChart(vegaEmbed));\n",
+       "    }\n",
+       "  })({\"$schema\": \"https://vega.github.io/schema/vega/v5.json\", \"data\": [{\"name\": \"source_0\", \"values\": [{\"index\": 2753590, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 2428071, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 756289, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 519241, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 1175634, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 2253702, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 406684, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 29647, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 2374114, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 203697, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 2742173, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 763426, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 2280763, \"value\": false, \"variable\": 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\"variable\": \"VendorID\"}, {\"index\": 1773313, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 38377, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 659432, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 818718, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 79224, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 2730698, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 2016350, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 562307, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 567179, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 2490612, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 2520118, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 1263975, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 908096, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 1907234, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 2681330, 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\"VendorID\"}, {\"index\": 1802511, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 1860034, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 2232756, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 1300894, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 1763773, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 367117, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 1567054, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 1241193, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 2078383, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 361541, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 1056408, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 1546975, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 2795426, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 893353, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 1525385, \"value\": 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false, \"variable\": \"VendorID\"}, {\"index\": 145997, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 2772713, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 404192, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 932882, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 2510689, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 1095044, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 567239, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 150176, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 1713101, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 1586415, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 1491500, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 2529503, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 580974, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 751010, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 607228, 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{\"index\": 1248957, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 739882, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 2537356, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 2518577, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 102882, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 2109225, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 2088490, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 988175, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 202278, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 130451, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 2893111, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 1912563, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 1137392, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 476424, \"value\": false, \"variable\": \"VendorID\"}, {\"index\": 2542042, \"value\": false, \"variable\": 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{\"variable\": \"trip_distance\"}, {\"variable\": \"RatecodeID\"}, {\"variable\": \"store_and_fwd_flag\"}, {\"variable\": \"PULocationID\"}, {\"variable\": \"DOLocationID\"}, {\"variable\": \"payment_type\"}, {\"variable\": \"fare_amount\"}, {\"variable\": \"extra\"}, {\"variable\": \"mta_tax\"}, {\"variable\": \"tip_amount\"}, {\"variable\": \"tolls_amount\"}, {\"variable\": \"improvement_surcharge\"}, {\"variable\": \"total_amount\"}, {\"variable\": \"congestion_surcharge\"}, {\"variable\": \"Airport_fee\"}]}, {\"name\": \"source_0_color_domain_value\", \"values\": [{\"value\": false}, {\"value\": true}]}, {\"name\": \"source_0_stroke_domain_value\", \"values\": [{\"value\": false}, {\"value\": true}]}], \"signals\": [{\"name\": \"y_step\", \"value\": 20}, {\"name\": \"height\", \"update\": \"bandspace(domain('y').length, 0, 0) * y_step\"}], \"marks\": [{\"type\": \"rect\", \"name\": \"marks\", \"from\": {\"data\": \"source_0\"}, \"encode\": {\"update\": {\"fill\": {\"field\": \"value\", \"scale\": \"color\"}, \"x\": {\"field\": \"index\", \"scale\": \"x\"}, \"width\": {\"signal\": \"max(0.25, bandwidth('x'))\"}, \"stroke\": {\"field\": \"value\", \"scale\": \"stroke\"}, \"y\": {\"field\": \"variable\", \"scale\": \"y\"}, \"height\": {\"signal\": \"max(0.25, bandwidth('y'))\"}}}, \"style\": [\"rect\"]}], \"scales\": [{\"name\": \"x\", \"type\": \"band\", \"domain\": {\"data\": \"source_0_x_domain_index\", \"field\": \"index\", \"sort\": true}, \"range\": [0, {\"signal\": \"width\"}], \"paddingOuter\": 0, \"paddingInner\": 0}, {\"name\": \"y\", \"type\": \"band\", \"domain\": {\"data\": \"source_0_y_domain_variable\", \"field\": \"variable\", \"sort\": true}, \"range\": {\"step\": {\"signal\": \"y_step\"}}, \"paddingOuter\": 0, \"paddingInner\": 0}, {\"name\": \"color\", \"type\": \"ordinal\", \"domain\": {\"data\": \"source_0_color_domain_value\", \"field\": \"value\", \"sort\": true}, \"range\": \"category\"}, {\"name\": \"stroke\", \"type\": \"ordinal\", \"domain\": {\"data\": \"source_0_stroke_domain_value\", \"field\": \"value\", \"sort\": true}, \"range\": \"category\"}], \"axes\": [{\"scale\": \"y\", \"orient\": \"left\", \"grid\": false, \"zindex\": 1}], \"background\": \"white\", \"width\": 30000, \"padding\": 5, \"legends\": [{\"title\": \"NaN\", \"fill\": \"color\", \"symbolType\": \"square\", \"stroke\": \"stroke\", \"encode\": {\"symbols\": {\"update\": {\"fillOpacity\": {\"value\": 1}}}}}], \"style\": \"cell\"}, {\"mode\": \"vega\"});\n",
+       "</script>"
+      ],
+      "text/plain": [
+       "alt.Chart(...)"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# Visualize missing values\n",
     "\n",
@@ -228,9 +788,88 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 19,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "<style>\n",
+       "  #altair-viz-244dd77db4a6404cadd99fb011056573.vega-embed {\n",
+       "    width: 100%;\n",
+       "    display: flex;\n",
+       "  }\n",
+       "\n",
+       "  #altair-viz-244dd77db4a6404cadd99fb011056573.vega-embed details,\n",
+       "  #altair-viz-244dd77db4a6404cadd99fb011056573.vega-embed details summary {\n",
+       "    position: relative;\n",
+       "  }\n",
+       "</style>\n",
+       "<div id=\"altair-viz-244dd77db4a6404cadd99fb011056573\"></div>\n",
+       "<script type=\"text/javascript\">\n",
+       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
+       "  (function(spec, embedOpt){\n",
+       "    let outputDiv = document.currentScript.previousElementSibling;\n",
+       "    if (outputDiv.id !== \"altair-viz-244dd77db4a6404cadd99fb011056573\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-244dd77db4a6404cadd99fb011056573\");\n",
+       "    }\n",
+       "    const paths = {\n",
+       "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
+       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm/vega-lib?noext\",\n",
+       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm/vega-lite@5.20.1?noext\",\n",
+       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm/vega-embed@6?noext\",\n",
+       "    };\n",
+       "\n",
+       "    function maybeLoadScript(lib, version) {\n",
+       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
+       "      return (VEGA_DEBUG[key] == version) ?\n",
+       "        Promise.resolve(paths[lib]) :\n",
+       "        new Promise(function(resolve, reject) {\n",
+       "          var s = document.createElement('script');\n",
+       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
+       "          s.async = true;\n",
+       "          s.onload = () => {\n",
+       "            VEGA_DEBUG[key] = version;\n",
+       "            return resolve(paths[lib]);\n",
+       "          };\n",
+       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
+       "          s.src = paths[lib];\n",
+       "        });\n",
+       "    }\n",
+       "\n",
+       "    function showError(err) {\n",
+       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
+       "      throw err;\n",
+       "    }\n",
+       "\n",
+       "    function displayChart(vegaEmbed) {\n",
+       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
+       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
+       "    }\n",
+       "\n",
+       "    if(typeof define === \"function\" && define.amd) {\n",
+       "      requirejs.config({paths});\n",
+       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
+       "    } else {\n",
+       "      maybeLoadScript(\"vega\", \"5\")\n",
+       "        .then(() => maybeLoadScript(\"vega-lite\", \"5.20.1\"))\n",
+       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
+       "        .catch(showError)\n",
+       "        .then(() => displayChart(vegaEmbed));\n",
+       "    }\n",
+       "  })({\"$schema\": \"https://vega.github.io/schema/vega/v5.json\", \"data\": [{\"name\": \"source_0\", \"values\": [{\"abs\": 0.0, \"corr\": 0.0, \"level_0\": \"VendorID\", \"level_1\": \"VendorID\"}, {\"abs\": 0.09086871091516292, \"corr\": 0.09086871091516292, \"level_0\": \"VendorID\", \"level_1\": \"passenger_count\"}, {\"abs\": 0.039504325429657726, \"corr\": 0.039504325429657726, \"level_0\": \"VendorID\", \"level_1\": \"trip_distance\"}, {\"abs\": 0.04490766519382684, \"corr\": -0.04490766519382684, \"level_0\": \"VendorID\", \"level_1\": \"RatecodeID\"}, {\"abs\": 0.005234901969735209, \"corr\": -0.005234901969735209, \"level_0\": \"VendorID\", \"level_1\": \"PULocationID\"}, {\"abs\": 0.002246388458217214, \"corr\": -0.002246388458217214, \"level_0\": \"VendorID\", \"level_1\": \"DOLocationID\"}, {\"abs\": 0.035421401912142096, \"corr\": 0.035421401912142096, \"level_0\": \"VendorID\", \"level_1\": \"payment_type\"}, {\"abs\": 0.005122536484067732, \"corr\": 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0.2695315763481181, \"corr\": 0.2695315763481181, \"level_0\": \"tolls_amount\", \"level_1\": \"tip_amount\"}, {\"abs\": 0.0, \"corr\": 0.0, \"level_0\": \"tolls_amount\", \"level_1\": \"tolls_amount\"}, {\"abs\": 0.04797395717492253, \"corr\": 0.04797395717492253, \"level_0\": \"tolls_amount\", \"level_1\": \"improvement_surcharge\"}, {\"abs\": 0.425599786652432, \"corr\": 0.425599786652432, \"level_0\": \"tolls_amount\", \"level_1\": \"total_amount\"}, {\"abs\": 0.07761778012588712, \"corr\": -0.07761778012588712, \"level_0\": \"tolls_amount\", \"level_1\": \"congestion_surcharge\"}, {\"abs\": 0.5586867620900188, \"corr\": 0.5586867620900188, \"level_0\": \"tolls_amount\", \"level_1\": \"Airport_fee\"}, {\"abs\": 0.0607245302944724, \"corr\": -0.0607245302944724, \"level_0\": \"improvement_surcharge\", \"level_1\": \"VendorID\"}, {\"abs\": 0.00525543566498844, \"corr\": 0.00525543566498844, \"level_0\": \"improvement_surcharge\", \"level_1\": \"passenger_count\"}, {\"abs\": 0.03925761827009895, \"corr\": 0.03925761827009895, \"level_0\": \"improvement_surcharge\", \"level_1\": \"trip_distance\"}, {\"abs\": 0.02181225042479233, \"corr\": -0.02181225042479233, \"level_0\": \"improvement_surcharge\", \"level_1\": \"RatecodeID\"}, {\"abs\": 0.004681184387070389, \"corr\": 0.004681184387070389, \"level_0\": \"improvement_surcharge\", \"level_1\": \"PULocationID\"}, {\"abs\": 0.005877077186642638, \"corr\": 0.005877077186642638, \"level_0\": \"improvement_surcharge\", \"level_1\": \"DOLocationID\"}, {\"abs\": 0.25105766867775087, \"corr\": -0.25105766867775087, \"level_0\": \"improvement_surcharge\", \"level_1\": \"payment_type\"}, {\"abs\": 0.19111083112022703, \"corr\": 0.19111083112022703, \"level_0\": \"improvement_surcharge\", \"level_1\": \"fare_amount\"}, {\"abs\": 0.16009246241683614, \"corr\": 0.16009246241683614, \"level_0\": \"improvement_surcharge\", \"level_1\": \"extra\"}, {\"abs\": 0.7714602572085375, \"corr\": 0.7714602572085375, \"level_0\": \"improvement_surcharge\", \"level_1\": \"mta_tax\"}, {\"abs\": 0.14611457139369619, \"corr\": 0.14611457139369619, \"level_0\": \"improvement_surcharge\", \"level_1\": \"tip_amount\"}, {\"abs\": 0.04797395717492253, \"corr\": 0.04797395717492253, \"level_0\": \"improvement_surcharge\", \"level_1\": \"tolls_amount\"}, {\"abs\": 0.0, \"corr\": 0.0, \"level_0\": \"improvement_surcharge\", \"level_1\": \"improvement_surcharge\"}, {\"abs\": 0.1920214403884334, \"corr\": 0.1920214403884334, \"level_0\": \"improvement_surcharge\", \"level_1\": \"total_amount\"}, {\"abs\": 0.4062604668473674, \"corr\": 0.4062604668473674, \"level_0\": \"improvement_surcharge\", \"level_1\": \"congestion_surcharge\"}, {\"abs\": 0.08253816622510886, \"corr\": 0.08253816622510886, \"level_0\": \"improvement_surcharge\", \"level_1\": \"Airport_fee\"}, {\"abs\": 0.016251484995522807, \"corr\": 0.016251484995522807, \"level_0\": \"total_amount\", \"level_1\": \"VendorID\"}, {\"abs\": 0.03687180243239588, \"corr\": 0.03687180243239588, \"level_0\": \"total_amount\", \"level_1\": \"passenger_count\"}, {\"abs\": 0.8391952517864845, \"corr\": 0.8391952517864845, \"level_0\": \"total_amount\", \"level_1\": \"trip_distance\"}, {\"abs\": 0.3257510469565489, \"corr\": 0.3257510469565489, \"level_0\": \"total_amount\", \"level_1\": \"RatecodeID\"}, {\"abs\": 0.14278802640264568, \"corr\": -0.14278802640264568, \"level_0\": \"total_amount\", \"level_1\": \"PULocationID\"}, {\"abs\": 0.09805209641906164, \"corr\": -0.09805209641906164, \"level_0\": \"total_amount\", \"level_1\": \"DOLocationID\"}, {\"abs\": 0.19862410189956622, \"corr\": -0.19862410189956622, \"level_0\": \"total_amount\", \"level_1\": \"payment_type\"}, {\"abs\": 0.9634318187428609, \"corr\": 0.9634318187428609, \"level_0\": \"total_amount\", \"level_1\": \"fare_amount\"}, {\"abs\": 0.17387791453908225, \"corr\": 0.17387791453908225, \"level_0\": \"total_amount\", \"level_1\": \"extra\"}, {\"abs\": 0.07888504274199618, \"corr\": 0.07888504274199618, \"level_0\": \"total_amount\", \"level_1\": \"mta_tax\"}, {\"abs\": 0.5783077571722747, \"corr\": 0.5783077571722747, \"level_0\": \"total_amount\", \"level_1\": \"tip_amount\"}, {\"abs\": 0.425599786652432, \"corr\": 0.425599786652432, \"level_0\": \"total_amount\", \"level_1\": \"tolls_amount\"}, {\"abs\": 0.1920214403884334, \"corr\": 0.1920214403884334, \"level_0\": \"total_amount\", \"level_1\": \"improvement_surcharge\"}, {\"abs\": 0.0, \"corr\": 0.0, \"level_0\": \"total_amount\", \"level_1\": \"total_amount\"}, {\"abs\": 0.08493320261321757, \"corr\": -0.08493320261321757, \"level_0\": \"total_amount\", \"level_1\": \"congestion_surcharge\"}, {\"abs\": 0.43554436357035814, \"corr\": 0.43554436357035814, \"level_0\": \"total_amount\", \"level_1\": \"Airport_fee\"}, {\"abs\": 0.023051806360430766, \"corr\": 0.023051806360430766, \"level_0\": \"congestion_surcharge\", \"level_1\": \"VendorID\"}, {\"abs\": 0.015917934164999724, \"corr\": 0.015917934164999724, \"level_0\": \"congestion_surcharge\", \"level_1\": \"passenger_count\"}, {\"abs\": 0.16470378297170538, \"corr\": -0.16470378297170538, \"level_0\": \"congestion_surcharge\", \"level_1\": \"trip_distance\"}, {\"abs\": 0.2855999547188078, \"corr\": -0.2855999547188078, \"level_0\": \"congestion_surcharge\", \"level_1\": \"RatecodeID\"}, {\"abs\": 0.16518024430999917, \"corr\": 0.16518024430999917, \"level_0\": \"congestion_surcharge\", \"level_1\": \"PULocationID\"}, {\"abs\": 0.10987414237594241, \"corr\": 0.10987414237594241, \"level_0\": \"congestion_surcharge\", \"level_1\": \"DOLocationID\"}, {\"abs\": 0.20186837991830436, \"corr\": -0.20186837991830436, \"level_0\": \"congestion_surcharge\", \"level_1\": \"payment_type\"}, {\"abs\": 0.12916025644856613, \"corr\": -0.12916025644856613, \"level_0\": \"congestion_surcharge\", \"level_1\": \"fare_amount\"}, {\"abs\": 0.09552626680423501, \"corr\": 0.09552626680423501, \"level_0\": \"congestion_surcharge\", \"level_1\": \"extra\"}, {\"abs\": 0.4521506128418458, \"corr\": 0.4521506128418458, \"level_0\": \"congestion_surcharge\", \"level_1\": \"mta_tax\"}, {\"abs\": 0.11246447892699805, \"corr\": 0.11246447892699805, \"level_0\": \"congestion_surcharge\", \"level_1\": \"tip_amount\"}, {\"abs\": 0.07761778012588712, \"corr\": -0.07761778012588712, \"level_0\": \"congestion_surcharge\", \"level_1\": \"tolls_amount\"}, {\"abs\": 0.4062604668473674, \"corr\": 0.4062604668473674, \"level_0\": \"congestion_surcharge\", \"level_1\": \"improvement_surcharge\"}, {\"abs\": 0.08493320261321757, \"corr\": -0.08493320261321757, \"level_0\": \"congestion_surcharge\", \"level_1\": \"total_amount\"}, {\"abs\": 0.0, \"corr\": 0.0, \"level_0\": \"congestion_surcharge\", \"level_1\": \"congestion_surcharge\"}, {\"abs\": 0.35152684707698034, \"corr\": -0.35152684707698034, \"level_0\": \"congestion_surcharge\", \"level_1\": \"Airport_fee\"}, {\"abs\": 0.03938491928836297, \"corr\": 0.03938491928836297, \"level_0\": \"Airport_fee\", \"level_1\": \"VendorID\"}, {\"abs\": 0.033037402765925185, \"corr\": 0.033037402765925185, \"level_0\": \"Airport_fee\", \"level_1\": \"passenger_count\"}, {\"abs\": 0.42221184463289824, \"corr\": 0.42221184463289824, \"level_0\": \"Airport_fee\", \"level_1\": \"trip_distance\"}, {\"abs\": 0.3439310002024544, \"corr\": 0.3439310002024544, \"level_0\": \"Airport_fee\", \"level_1\": \"RatecodeID\"}, {\"abs\": 0.24374421544275165, \"corr\": -0.24374421544275165, \"level_0\": \"Airport_fee\", \"level_1\": \"PULocationID\"}, {\"abs\": 0.05687825228495256, \"corr\": -0.05687825228495256, \"level_0\": \"Airport_fee\", \"level_1\": \"DOLocationID\"}, {\"abs\": 0.012271493026353712, \"corr\": 0.012271493026353712, \"level_0\": \"Airport_fee\", \"level_1\": \"payment_type\"}, {\"abs\": 0.4341334118844133, \"corr\": 0.4341334118844133, \"level_0\": \"Airport_fee\", \"level_1\": \"fare_amount\"}, {\"abs\": 0.1952980812545057, \"corr\": 0.1952980812545057, \"level_0\": \"Airport_fee\", \"level_1\": \"extra\"}, {\"abs\": 0.05966573079279653, \"corr\": 0.05966573079279653, \"level_0\": \"Airport_fee\", \"level_1\": \"mta_tax\"}, {\"abs\": 0.22723439239737456, \"corr\": 0.22723439239737456, \"level_0\": \"Airport_fee\", \"level_1\": \"tip_amount\"}, {\"abs\": 0.5586867620900188, \"corr\": 0.5586867620900188, \"level_0\": \"Airport_fee\", \"level_1\": \"tolls_amount\"}, {\"abs\": 0.08253816622510886, \"corr\": 0.08253816622510886, \"level_0\": \"Airport_fee\", \"level_1\": \"improvement_surcharge\"}, {\"abs\": 0.43554436357035814, \"corr\": 0.43554436357035814, \"level_0\": \"Airport_fee\", \"level_1\": \"total_amount\"}, {\"abs\": 0.35152684707698034, \"corr\": -0.35152684707698034, \"level_0\": \"Airport_fee\", \"level_1\": \"congestion_surcharge\"}, {\"abs\": 0.0, \"corr\": 0.0, \"level_0\": \"Airport_fee\", \"level_1\": \"Airport_fee\"}]}, {\"name\": \"source_0_x_domain_level_0\", \"values\": [{\"level_0\": \"VendorID\"}, {\"level_0\": \"passenger_count\"}, {\"level_0\": \"trip_distance\"}, {\"level_0\": \"RatecodeID\"}, {\"level_0\": \"PULocationID\"}, {\"level_0\": \"DOLocationID\"}, {\"level_0\": \"payment_type\"}, {\"level_0\": \"fare_amount\"}, {\"level_0\": \"extra\"}, {\"level_0\": \"mta_tax\"}, {\"level_0\": \"tip_amount\"}, {\"level_0\": \"tolls_amount\"}, {\"level_0\": \"improvement_surcharge\"}, {\"level_0\": \"total_amount\"}, {\"level_0\": \"congestion_surcharge\"}, {\"level_0\": \"Airport_fee\"}]}, {\"name\": \"source_0_y_domain_level_1\", \"values\": [{\"level_1\": \"VendorID\"}, {\"level_1\": \"passenger_count\"}, {\"level_1\": \"trip_distance\"}, {\"level_1\": \"RatecodeID\"}, {\"level_1\": \"PULocationID\"}, {\"level_1\": \"DOLocationID\"}, {\"level_1\": \"payment_type\"}, {\"level_1\": \"fare_amount\"}, {\"level_1\": \"extra\"}, {\"level_1\": \"mta_tax\"}, {\"level_1\": \"tip_amount\"}, {\"level_1\": \"tolls_amount\"}, {\"level_1\": \"improvement_surcharge\"}, {\"level_1\": \"total_amount\"}, {\"level_1\": 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\"point\", \"domain\": {\"data\": \"source_0_y_domain_level_1\", \"field\": \"level_1\", \"sort\": true}, \"range\": {\"step\": {\"signal\": \"y_step\"}}, \"padding\": 0.5}, {\"name\": \"color\", \"type\": \"linear\", \"domain\": [-1, 1], \"range\": {\"scheme\": \"redblue\"}, \"zero\": true, \"interpolate\": \"hcl\"}, {\"name\": \"size\", \"type\": \"linear\", \"domain\": [0, 1], \"range\": [4, 361], \"zero\": true}], \"axes\": [{\"scale\": \"x\", \"orient\": \"bottom\", \"title\": \"level_0\", \"labelAlign\": \"right\", \"labelBaseline\": \"middle\", \"zindex\": 0, \"labelAngle\": 270, \"grid\": false}, {\"scale\": \"y\", \"zindex\": 0, \"orient\": \"left\", \"title\": \"level_1\", \"grid\": false}], \"background\": \"white\", \"padding\": 5, \"style\": \"cell\", \"legends\": [{\"fill\": \"color\", \"gradientLength\": {\"signal\": \"clamp(height, 64, 200)\"}, \"title\": \"corr\", \"encode\": {\"gradient\": {\"update\": {\"opacity\": {\"value\": 0.7}}}}}, {\"size\": \"size\", \"symbolType\": \"circle\", \"title\": \"abs\", \"encode\": {\"symbols\": {\"update\": {\"fill\": {\"value\": \"black\"}, \"fillOpacity\": {\"value\": 0.7}, \"opacity\": {\"value\": 0.7}, \"stroke\": {\"value\": \"transparent\"}}}}}]}, {\"mode\": \"vega\"});\n",
+       "</script>"
+      ],
+      "text/plain": [
+       "alt.Chart(...)"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# Correlation Plot\n",
     "\n",
@@ -269,7 +908,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -281,9 +920,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 21,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The regression line formula is: y_hat = 3.5369 * trip_distance + 6.7623\n"
+     ]
+    }
+   ],
    "source": [
     "model = LinearRegression()\n",
     "model.fit(X_train, y_train)\n",
@@ -309,18 +956,150 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 22,
    "metadata": {},
-   "outputs": [],
+   "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>trip_distance</th>\n",
+       "      <th>fare_amount</th>\n",
+       "      <th>y_pred</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>3.14</td>\n",
+       "      <td>16.3</td>\n",
+       "      <td>17.868009</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.41</td>\n",
+       "      <td>4.4</td>\n",
+       "      <td>8.212379</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>17.19</td>\n",
+       "      <td>70.0</td>\n",
+       "      <td>67.560908</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.19</td>\n",
+       "      <td>10.7</td>\n",
+       "      <td>10.971130</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.08</td>\n",
+       "      <td>12.1</td>\n",
+       "      <td>10.582075</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8995</th>\n",
+       "      <td>1.10</td>\n",
+       "      <td>8.6</td>\n",
+       "      <td>10.652813</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8996</th>\n",
+       "      <td>1.44</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>11.855345</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8997</th>\n",
+       "      <td>0.90</td>\n",
+       "      <td>7.2</td>\n",
+       "      <td>9.945440</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8998</th>\n",
+       "      <td>0.65</td>\n",
+       "      <td>7.2</td>\n",
+       "      <td>9.061225</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8999</th>\n",
+       "      <td>0.94</td>\n",
+       "      <td>10.7</td>\n",
+       "      <td>10.086915</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>9000 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      trip_distance  fare_amount     y_pred\n",
+       "0              3.14         16.3  17.868009\n",
+       "1              0.41          4.4   8.212379\n",
+       "2             17.19         70.0  67.560908\n",
+       "3              1.19         10.7  10.971130\n",
+       "4              1.08         12.1  10.582075\n",
+       "...             ...          ...        ...\n",
+       "8995           1.10          8.6  10.652813\n",
+       "8996           1.44         10.0  11.855345\n",
+       "8997           0.90          7.2   9.945440\n",
+       "8998           0.65          7.2   9.061225\n",
+       "8999           0.94         10.7  10.086915\n",
+       "\n",
+       "[9000 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "test_predictions"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 23,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Regression Performance Metrics:\n",
+      "RMSE: $10.01\n",
+      "R²: 0.701\n",
+      "MAE: $3.61\n"
+     ]
+    }
+   ],
    "source": [
     "# Calculate error metrics\n",
     "y_true = test_predictions['fare_amount']\n",
@@ -342,9 +1121,88 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 24,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "<style>\n",
+       "  #altair-viz-60eb07776738407090d67b16b73cd657.vega-embed {\n",
+       "    width: 100%;\n",
+       "    display: flex;\n",
+       "  }\n",
+       "\n",
+       "  #altair-viz-60eb07776738407090d67b16b73cd657.vega-embed details,\n",
+       "  #altair-viz-60eb07776738407090d67b16b73cd657.vega-embed details summary {\n",
+       "    position: relative;\n",
+       "  }\n",
+       "</style>\n",
+       "<div id=\"altair-viz-60eb07776738407090d67b16b73cd657\"></div>\n",
+       "<script type=\"text/javascript\">\n",
+       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
+       "  (function(spec, embedOpt){\n",
+       "    let outputDiv = document.currentScript.previousElementSibling;\n",
+       "    if (outputDiv.id !== \"altair-viz-60eb07776738407090d67b16b73cd657\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-60eb07776738407090d67b16b73cd657\");\n",
+       "    }\n",
+       "    const paths = {\n",
+       "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
+       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm/vega-lib?noext\",\n",
+       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm/vega-lite@5.20.1?noext\",\n",
+       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm/vega-embed@6?noext\",\n",
+       "    };\n",
+       "\n",
+       "    function maybeLoadScript(lib, version) {\n",
+       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
+       "      return (VEGA_DEBUG[key] == version) ?\n",
+       "        Promise.resolve(paths[lib]) :\n",
+       "        new Promise(function(resolve, reject) {\n",
+       "          var s = document.createElement('script');\n",
+       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
+       "          s.async = true;\n",
+       "          s.onload = () => {\n",
+       "            VEGA_DEBUG[key] = version;\n",
+       "            return resolve(paths[lib]);\n",
+       "          };\n",
+       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
+       "          s.src = paths[lib];\n",
+       "        });\n",
+       "    }\n",
+       "\n",
+       "    function showError(err) {\n",
+       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
+       "      throw err;\n",
+       "    }\n",
+       "\n",
+       "    function displayChart(vegaEmbed) {\n",
+       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
+       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
+       "    }\n",
+       "\n",
+       "    if(typeof define === \"function\" && define.amd) {\n",
+       "      requirejs.config({paths});\n",
+       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
+       "    } else {\n",
+       "      maybeLoadScript(\"vega\", \"5\")\n",
+       "        .then(() => maybeLoadScript(\"vega-lite\", \"5.20.1\"))\n",
+       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
+       "        .catch(showError)\n",
+       "        .then(() => displayChart(vegaEmbed));\n",
+       "    }\n",
+       "  })({\"$schema\": \"https://vega.github.io/schema/vega/v5.json\", \"data\": [{\"name\": \"source_1\", \"values\": [{\"x\": -72.3}, {\"x\": 450.0}]}, {\"name\": \"source_0\", \"values\": [{\"fare_amount\": 16.3, \"residuals\": -1.5680093455479813, \"trip_distance\": 3.14, \"y_pred\": 17.868009345547982}, {\"fare_amount\": 4.4, \"residuals\": -3.812378510797396, \"trip_distance\": 0.41, \"y_pred\": 8.212378510797397}, {\"fare_amount\": 70.0, \"residuals\": 2.4390920360470005, \"trip_distance\": 17.19, \"y_pred\": 67.560907963953}, {\"fare_amount\": 10.7, \"residuals\": -0.2711301778689936, \"trip_distance\": 1.19, \"y_pred\": 10.971130177868993}, {\"fare_amount\": 12.1, \"residuals\": 1.5179245444103344, \"trip_distance\": 1.08, \"y_pred\": 10.582075455589665}, {\"fare_amount\": 5.8, \"residuals\": -2.8721704553093312, \"trip_distance\": 0.54, \"y_pred\": 8.672170455309331}, {\"fare_amount\": 30.3, \"residuals\": -2.3167201810461187, \"trip_distance\": 7.31, \"y_pred\": 32.61672018104612}, {\"fare_amount\": 6.5, \"residuals\": -3.2685973999147073, \"trip_distance\": 0.85, \"y_pred\": 9.768597399914707}, {\"fare_amount\": 7.9, \"residuals\": -2.7174440667059674, \"trip_distance\": 1.09, \"y_pred\": 10.617444066705968}, {\"fare_amount\": 7.11, \"residuals\": 0.3477345449710052, \"trip_distance\": 0.0, \"y_pred\": 6.762265455028995}, {\"fare_amount\": 15.6, \"residuals\": -1.0301079564773925, \"trip_distance\": 2.79, \"y_pred\": 16.630107956477392}, {\"fare_amount\": 14.9, \"residuals\": 0.2505342660355492, \"trip_distance\": 2.23, \"y_pred\": 14.649465733964451}, {\"fare_amount\": 7.9, \"residuals\": -2.7881812889385724, \"trip_distance\": 1.11, \"y_pred\": 10.688181288938573}, {\"fare_amount\": 12.8, \"residuals\": -2.3446262895926875, \"trip_distance\": 2.37, \"y_pred\": 15.144626289592688}, {\"fare_amount\": 14.9, \"residuals\": -0.7044182341046206, \"trip_distance\": 2.5, \"y_pred\": 15.604418234104621}, {\"fare_amount\": 15.6, \"residuals\": 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-2.5199768446602526, \"trip_distance\": 1.43, \"y_pred\": 11.819976844660253}, {\"fare_amount\": 13.5, \"residuals\": 0.017698432873530123, \"trip_distance\": 1.9, \"y_pred\": 13.48230156712647}, {\"fare_amount\": 10.0, \"residuals\": -1.6077651779624382, \"trip_distance\": 1.37, \"y_pred\": 11.607765177962438}, {\"fare_amount\": 8.6, \"residuals\": -2.0528126778222706, \"trip_distance\": 1.1, \"y_pred\": 10.65281267782227}, {\"fare_amount\": 10.0, \"residuals\": -1.855345455776554, \"trip_distance\": 1.44, \"y_pred\": 11.855345455776554}, {\"fare_amount\": 7.2, \"residuals\": -2.7454404554962197, \"trip_distance\": 0.9, \"y_pred\": 9.94544045549622}, {\"fare_amount\": 7.2, \"residuals\": -1.8612251775886568, \"trip_distance\": 0.65, \"y_pred\": 9.061225177588657}, {\"fare_amount\": 10.7, \"residuals\": 0.6130851000385693, \"trip_distance\": 0.94, \"y_pred\": 10.08691489996143}]}], \"marks\": [{\"type\": \"symbol\", \"name\": \"layer_0_marks\", \"from\": {\"data\": \"source_0\"}, \"encode\": {\"update\": {\"shape\": {\"value\": \"circle\"}, \"x\": {\"field\": \"fare_amount\", \"scale\": \"x\"}, \"size\": {\"value\": 60}, \"fill\": {\"value\": \"#4c78a8\"}, \"tooltip\": {\"signal\": \"{\\\"trip_distance\\\": format(datum[\\\"trip_distance\\\"], \\\"\\\"), \\\"fare_amount\\\": format(datum[\\\"fare_amount\\\"], \\\"\\\"), \\\"y_pred\\\": format(datum[\\\"y_pred\\\"], \\\"\\\"), \\\"residuals\\\": format(datum[\\\"residuals\\\"], \\\"\\\")}\"}, \"y\": {\"field\": \"y_pred\", \"scale\": \"y\"}, \"opacity\": {\"value\": 0.3}}}, \"style\": [\"circle\"]}, {\"type\": \"line\", \"name\": \"layer_1_marks\", \"from\": {\"data\": \"source_1\"}, \"sort\": {\"field\": \"x\"}, \"encode\": {\"update\": {\"strokeDash\": {\"value\": [4, 4]}, \"stroke\": {\"value\": \"red\"}, \"x\": {\"field\": \"x\", \"scale\": \"x\"}, \"y\": {\"field\": \"x\", \"scale\": \"y\"}, \"defined\": {\"signal\": \"isValid(datum[\\\"x\\\"]) && isFinite(+datum[\\\"x\\\"])\"}}}, \"style\": [\"line\"]}], \"scales\": [{\"name\": \"x\", \"type\": \"linear\", \"domain\": {\"fields\": [{\"data\": \"source_0\", \"field\": \"fare_amount\"}, {\"data\": \"source_1\", \"field\": \"x\"}]}, \"range\": [0, {\"signal\": \"width\"}], \"nice\": true, \"zero\": true}, {\"name\": \"y\", \"type\": \"linear\", \"domain\": {\"fields\": [{\"data\": \"source_0\", \"field\": \"y_pred\"}, {\"data\": \"source_1\", \"field\": \"x\"}]}, \"range\": [{\"signal\": \"height\"}, 0], \"nice\": true, \"zero\": true}], \"axes\": [{\"scale\": \"x\", \"maxExtent\": 0, \"minExtent\": 0, \"zindex\": 0, \"grid\": true, \"tickCount\": {\"signal\": \"ceil(width/40)\"}, \"labels\": false, \"aria\": false, \"domain\": false, \"ticks\": false, \"orient\": \"bottom\", \"gridScale\": \"y\"}, {\"scale\": \"y\", \"ticks\": false, \"grid\": true, \"domain\": false, \"zindex\": 0, \"aria\": false, \"orient\": \"left\", \"labels\": false, \"minExtent\": 0, \"tickCount\": {\"signal\": \"ceil(height/40)\"}, \"gridScale\": \"x\", \"maxExtent\": 0}, {\"scale\": \"x\", \"labelFlush\": true, \"labelOverlap\": true, \"tickCount\": {\"signal\": \"ceil(width/40)\"}, \"zindex\": 0, \"grid\": false, \"orient\": \"bottom\", \"title\": \"Actual Fare Amount ($)\"}, {\"scale\": \"y\", \"grid\": false, \"title\": \"Predicted Fare Amount ($)\", \"labelOverlap\": true, \"tickCount\": {\"signal\": \"ceil(height/40)\"}, \"orient\": \"left\", \"zindex\": 0}], \"title\": {\"text\": \"The Simple Linear Regression Model Have Low Error For Trips Under $50\", \"frame\": \"group\"}, \"width\": 400, \"style\": \"cell\", \"height\": 400, \"background\": \"white\", \"padding\": 5}, {\"mode\": \"vega\"});\n",
+       "</script>"
+      ],
+      "text/plain": [
+       "alt.LayerChart(...)"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "error_scatter = alt.Chart(test_predictions).mark_circle(size=60, opacity=0.3).encode(\n",
     "    x=alt.X('fare_amount', title='Actual Fare Amount ($)'),\n",
@@ -367,9 +1225,88 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 25,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "<style>\n",
+       "  #altair-viz-eb4e757d6305426ba7cd8d4332bff84b.vega-embed {\n",
+       "    width: 100%;\n",
+       "    display: flex;\n",
+       "  }\n",
+       "\n",
+       "  #altair-viz-eb4e757d6305426ba7cd8d4332bff84b.vega-embed details,\n",
+       "  #altair-viz-eb4e757d6305426ba7cd8d4332bff84b.vega-embed details summary {\n",
+       "    position: relative;\n",
+       "  }\n",
+       "</style>\n",
+       "<div id=\"altair-viz-eb4e757d6305426ba7cd8d4332bff84b\"></div>\n",
+       "<script type=\"text/javascript\">\n",
+       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
+       "  (function(spec, embedOpt){\n",
+       "    let outputDiv = document.currentScript.previousElementSibling;\n",
+       "    if (outputDiv.id !== \"altair-viz-eb4e757d6305426ba7cd8d4332bff84b\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-eb4e757d6305426ba7cd8d4332bff84b\");\n",
+       "    }\n",
+       "    const paths = {\n",
+       "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
+       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm/vega-lib?noext\",\n",
+       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm/vega-lite@5.20.1?noext\",\n",
+       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm/vega-embed@6?noext\",\n",
+       "    };\n",
+       "\n",
+       "    function maybeLoadScript(lib, version) {\n",
+       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
+       "      return (VEGA_DEBUG[key] == version) ?\n",
+       "        Promise.resolve(paths[lib]) :\n",
+       "        new Promise(function(resolve, reject) {\n",
+       "          var s = document.createElement('script');\n",
+       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
+       "          s.async = true;\n",
+       "          s.onload = () => {\n",
+       "            VEGA_DEBUG[key] = version;\n",
+       "            return resolve(paths[lib]);\n",
+       "          };\n",
+       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
+       "          s.src = paths[lib];\n",
+       "        });\n",
+       "    }\n",
+       "\n",
+       "    function showError(err) {\n",
+       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
+       "      throw err;\n",
+       "    }\n",
+       "\n",
+       "    function displayChart(vegaEmbed) {\n",
+       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
+       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
+       "    }\n",
+       "\n",
+       "    if(typeof define === \"function\" && define.amd) {\n",
+       "      requirejs.config({paths});\n",
+       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
+       "    } else {\n",
+       "      maybeLoadScript(\"vega\", \"5\")\n",
+       "        .then(() => maybeLoadScript(\"vega-lite\", \"5.20.1\"))\n",
+       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
+       "        .catch(showError)\n",
+       "        .then(() => displayChart(vegaEmbed));\n",
+       "    }\n",
+       "  })({\"$schema\": \"https://vega.github.io/schema/vega/v5.json\", \"data\": [{\"name\": \"source_0\", \"values\": [{\"fare_amount\": 16.3, \"trip_distance\": 3.14, \"y_pred\": 17.868009345547982}, {\"fare_amount\": 4.4, \"trip_distance\": 0.41, \"y_pred\": 8.212378510797397}, {\"fare_amount\": 70.0, \"trip_distance\": 17.19, \"y_pred\": 67.560907963953}, {\"fare_amount\": 10.7, \"trip_distance\": 1.19, \"y_pred\": 10.971130177868993}, {\"fare_amount\": 12.1, \"trip_distance\": 1.08, \"y_pred\": 10.582075455589665}, {\"fare_amount\": 5.8, \"trip_distance\": 0.54, \"y_pred\": 8.672170455309331}, {\"fare_amount\": 30.3, \"trip_distance\": 7.31, \"y_pred\": 32.61672018104612}, {\"fare_amount\": 6.5, \"trip_distance\": 0.85, \"y_pred\": 9.768597399914707}, {\"fare_amount\": 7.9, \"trip_distance\": 1.09, \"y_pred\": 10.617444066705968}, {\"fare_amount\": 7.11, \"trip_distance\": 0.0, \"y_pred\": 6.762265455028995}, {\"fare_amount\": 15.6, \"trip_distance\": 2.79, \"y_pred\": 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{\"fare_amount\": 41.5, \"trip_distance\": 10.9, \"y_pred\": 45.31405157179872}, {\"fare_amount\": 10.7, \"trip_distance\": 1.07, \"y_pred\": 10.546706844473363}, {\"fare_amount\": 9.3, \"trip_distance\": 1.2, \"y_pred\": 11.006498788985294}, {\"fare_amount\": 20.5, \"trip_distance\": 2.64, \"y_pred\": 16.099578789732856}, {\"fare_amount\": 13.5, \"trip_distance\": 1.92, \"y_pred\": 13.553038789359075}, {\"fare_amount\": 19.8, \"trip_distance\": 2.4, \"y_pred\": 15.250732122941594}, {\"fare_amount\": 70.0, \"trip_distance\": 19.3, \"y_pred\": 75.02368490949283}, {\"fare_amount\": 17.0, \"trip_distance\": 2.98, \"y_pred\": 17.30211156768714}, {\"fare_amount\": 19.8, \"trip_distance\": 4.01, \"y_pred\": 20.9450785126663}, {\"fare_amount\": 20.5, \"trip_distance\": 4.3, \"y_pred\": 21.970768235039067}, {\"fare_amount\": 30.3, \"trip_distance\": 4.55, \"y_pred\": 22.85498351294663}, {\"fare_amount\": 12.1, \"trip_distance\": 2.12, \"y_pred\": 14.260411011685125}, {\"fare_amount\": 11.4, 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\"y_pred\": 11.926082678009159}, {\"fare_amount\": 13.5, \"trip_distance\": 1.7, \"y_pred\": 12.77492934480042}, {\"fare_amount\": 9.3, \"trip_distance\": 1.1, \"y_pred\": 10.65281267782227}, {\"fare_amount\": 19.8, \"trip_distance\": 3.28, \"y_pred\": 18.363169901176214}, {\"fare_amount\": 17.7, \"trip_distance\": 1.36, \"y_pred\": 11.572396566846136}, {\"fare_amount\": 17.7, \"trip_distance\": 2.79, \"y_pred\": 16.630107956477392}, {\"fare_amount\": 10.0, \"trip_distance\": 1.65, \"y_pred\": 12.598086289218907}, {\"fare_amount\": 15.6, \"trip_distance\": 2.42, \"y_pred\": 15.321469345174199}, {\"fare_amount\": 21.9, \"trip_distance\": 3.7, \"y_pred\": 19.848651568060923}, {\"fare_amount\": 12.8, \"trip_distance\": 1.5, \"y_pred\": 12.06755712247437}, {\"fare_amount\": 10.0, \"trip_distance\": 1.34, \"y_pred\": 11.50165934461353}, {\"fare_amount\": 17.0, \"trip_distance\": 2.9, \"y_pred\": 17.01916267875672}, {\"fare_amount\": 16.3, \"trip_distance\": 1.64, \"y_pred\": 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{\"fare_amount\": 36.6, \"trip_distance\": 8.68}, {\"fare_amount\": 17.7, \"trip_distance\": 3.07}, {\"fare_amount\": 20.5, \"trip_distance\": 3.7}, {\"fare_amount\": 16.3, \"trip_distance\": 1.63}, {\"fare_amount\": 34.5, \"trip_distance\": 5.52}, {\"fare_amount\": 5.1, \"trip_distance\": 0.42}, {\"fare_amount\": 7.9, \"trip_distance\": 0.69}, {\"fare_amount\": 19.8, \"trip_distance\": 2.9}, {\"fare_amount\": 7.9, \"trip_distance\": 0.93}, {\"fare_amount\": 5.8, \"trip_distance\": 0.7}, {\"fare_amount\": 9.3, \"trip_distance\": 1.24}, {\"fare_amount\": 5.1, \"trip_distance\": 0.57}, {\"fare_amount\": 10.0, \"trip_distance\": 1.57}, {\"fare_amount\": 10.7, \"trip_distance\": 1.26}, {\"fare_amount\": 10.0, \"trip_distance\": 1.14}, {\"fare_amount\": 17.7, \"trip_distance\": 3.32}, {\"fare_amount\": 7.2, \"trip_distance\": 1.12}, {\"fare_amount\": 10.0, \"trip_distance\": 1.3}, {\"fare_amount\": 17.7, \"trip_distance\": 1.95}, {\"fare_amount\": 5.1, \"trip_distance\": 0.47}, {\"fare_amount\": 6.5, \"trip_distance\": 0.51}, {\"fare_amount\": 8.6, \"trip_distance\": 1.18}, {\"fare_amount\": 44.3, \"trip_distance\": 10.0}, {\"fare_amount\": 28.2, \"trip_distance\": 2.14}, {\"fare_amount\": 8.6, \"trip_distance\": 1.0}, {\"fare_amount\": 7.9, \"trip_distance\": 0.9}, {\"fare_amount\": 14.9, \"trip_distance\": 2.22}, {\"fare_amount\": 44.3, \"trip_distance\": 7.72}, {\"fare_amount\": 70.0, \"trip_distance\": 21.5}, {\"fare_amount\": 19.8, \"trip_distance\": 2.4}, {\"fare_amount\": 22.6, \"trip_distance\": 4.02}, {\"fare_amount\": 7.2, \"trip_distance\": 0.7}, {\"fare_amount\": 31.7, \"trip_distance\": 5.37}, {\"fare_amount\": 13.5, \"trip_distance\": 0.49}, {\"fare_amount\": 7.2, \"trip_distance\": 0.85}, {\"fare_amount\": 3.7, \"trip_distance\": 0.1}, {\"fare_amount\": 9.3, \"trip_distance\": 1.43}, {\"fare_amount\": 13.5, \"trip_distance\": 1.9}, {\"fare_amount\": 10.0, \"trip_distance\": 1.37}, {\"fare_amount\": 8.6, \"trip_distance\": 1.1}, {\"fare_amount\": 10.0, \"trip_distance\": 1.44}, {\"fare_amount\": 7.2, \"trip_distance\": 0.9}, {\"fare_amount\": 7.2, \"trip_distance\": 0.65}, {\"fare_amount\": 10.7, \"trip_distance\": 0.94}]}], \"marks\": [{\"type\": \"symbol\", \"name\": \"layer_0_marks\", \"from\": {\"data\": \"data_0\"}, \"encode\": {\"update\": {\"x\": {\"field\": \"trip_distance\", \"scale\": \"x\"}, \"fill\": {\"value\": \"purple\"}, \"tooltip\": {\"signal\": \"{\\\"trip_distance\\\": format(datum[\\\"trip_distance\\\"], \\\"\\\"), \\\"fare_amount\\\": format(datum[\\\"fare_amount\\\"], \\\"\\\")}\"}, \"opacity\": {\"value\": 0.7}, \"y\": {\"field\": \"fare_amount\", \"scale\": \"y\"}, \"shape\": {\"value\": \"circle\"}}}, \"style\": [\"circle\"]}, {\"type\": \"line\", \"name\": \"layer_1_marks\", \"from\": {\"data\": \"source_0\"}, \"sort\": {\"field\": \"x\"}, \"encode\": {\"update\": {\"stroke\": {\"value\": \"orange\"}, \"x\": {\"field\": \"trip_distance\", \"scale\": \"x\"}, \"y\": {\"field\": \"y_pred\", \"scale\": \"y\"}, \"defined\": {\"signal\": \"isValid(datum[\\\"trip_distance\\\"]) && isFinite(+datum[\\\"trip_distance\\\"]) && isValid(datum[\\\"y_pred\\\"]) && isFinite(+datum[\\\"y_pred\\\"])\"}}}, \"style\": [\"line\"]}], \"scales\": [{\"name\": \"x\", \"type\": \"linear\", \"domain\": {\"fields\": [{\"data\": \"data_0\", \"field\": \"trip_distance\"}, {\"data\": \"source_0\", \"field\": \"trip_distance\"}]}, \"range\": [0, {\"signal\": \"width\"}], \"zero\": true, \"nice\": true}, {\"name\": \"y\", \"type\": \"linear\", \"domain\": {\"fields\": [{\"data\": \"data_0\", \"field\": \"fare_amount\"}, {\"data\": \"source_0\", \"field\": \"y_pred\"}]}, \"range\": [{\"signal\": \"height\"}, 0], \"zero\": true, \"nice\": true}], \"axes\": [{\"scale\": \"x\", \"zindex\": 0, \"grid\": true, \"tickCount\": {\"signal\": \"ceil(width/40)\"}, \"maxExtent\": 0, \"aria\": false, \"gridScale\": \"y\", \"minExtent\": 0, \"domain\": false, \"ticks\": false, \"orient\": \"bottom\", \"labels\": false}, {\"scale\": \"y\", \"domain\": false, \"minExtent\": 0, \"maxExtent\": 0, \"labels\": false, \"aria\": false, \"grid\": true, \"gridScale\": \"x\", \"zindex\": 0, \"tickCount\": {\"signal\": \"ceil(height/40)\"}, \"ticks\": false, \"orient\": \"left\"}, {\"scale\": \"x\", \"labelFlush\": true, \"title\": \"Trip Distance (miles)\", \"labelOverlap\": true, \"tickCount\": {\"signal\": \"ceil(width/40)\"}, \"zindex\": 0, \"orient\": \"bottom\", \"grid\": false}, {\"scale\": \"y\", \"orient\": \"left\", \"tickCount\": {\"signal\": \"ceil(height/40)\"}, \"zindex\": 0, \"title\": \"Fare Amount (USD)\", \"grid\": false, \"labelOverlap\": true}], \"title\": {\"text\": \"Regression of Trip Distance vs Fare Amount for NYC Yellow Taxis in January 2024\", \"frame\": \"group\"}, \"height\": 300, \"style\": \"cell\", \"padding\": 5, \"width\": 300, \"background\": \"white\"}, {\"mode\": \"vega\"});\n",
+       "</script>"
+      ],
+      "text/plain": [
+       "alt.LayerChart(...)"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "scatter_plot = alt.Chart(test_predictions).mark_circle().encode(\n",
     "    x=alt.X('trip_distance', title='Trip Distance (miles)'),\n",
@@ -456,10 +1393,26 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[NbConvertApp] Converting notebook yellow_taxi_analysis.ipynb to webpdf\n",
+      "[NbConvertApp] Writing 2177156 bytes to yellow_taxi_analysis.pdf\n"
+     ]
+    }
+   ],
    "source": [
-    "!jupyter nbconvert --to webpdf yellow_taxi_analysis.ipynb"
+    "# !jupyter nbconvert --to webpdf yellow_taxi_analysis.ipynb"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
diff --git a/yellow_taxi_analysis.pdf b/yellow_taxi_analysis.pdf
index 52b5e3475b032a3aa9b18ccbf3e315e72db2f186..06f96acdd92e1cc902577397069d3f099a25a6af 100644
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