Added headings and fixed import/export paths for NYC time series notebook

Author: transcriptive

NYC-notebooks/NYC-time-series-work.ipynb

@@ -35,7 +35,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "NYC = pd.read_pickle('./datasets/air-quality-reports/aggregates/NYC.pkl')"
+    "NYC = pd.read_pickle('../datasets/air-quality-reports/aggregates/NYC/NYC.pkl')"
    ]
   },
   {
@@ -197,14 +197,6 @@
     "predictions = test.copy(deep=True)"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "bce298b6-7219-4770-bc60-fcc0d36dc9cf",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "code",
    "execution_count": 8,
@@ -238,6 +230,10 @@
    "execution_count": 9,
    "id": "afe217b1-04ad-447a-a7bf-0d1f9fa8ea92",
    "metadata": {
+    "collapsed": true,
+    "jupyter": {
+     "outputs_hidden": true
+    },
     "tags": []
    },
    "outputs": [
@@ -262,10 +258,10 @@
        "  <th>Seasonal:</th>            <td>Multiplicative</td>    <th>  AICC               </th>     <td>11052.040</td>   \n",
        "</tr>\n",
        "<tr>\n",
-       "  <th>Seasonal Periods:</th>          <td>365</td>         <th>  Date:              </th> <td>Wed, 19 May 2021</td>\n",
+       "  <th>Seasonal Periods:</th>          <td>365</td>         <th>  Date:              </th> <td>Fri, 21 May 2021</td>\n",
        "</tr>\n",
        "<tr>\n",
-       "  <th>Box-Cox:</th>                  <td>False</td>        <th>  Time:              </th>     <td>10:21:59</td>    \n",
+       "  <th>Box-Cox:</th>                  <td>False</td>        <th>  Time:              </th>     <td>12:02:51</td>    \n",
        "</tr>\n",
        "<tr>\n",
        "  <th>Box-Cox Coeff.:</th>           <td>None</td>         <th>                     </th>         <td> </td>       \n",
@@ -1397,8 +1393,8 @@
        "Optimized:                         True   AIC                          10862.202\n",
        "Trend:                   Multiplicative   BIC                          12895.349\n",
        "Seasonal:                Multiplicative   AICC                         11052.040\n",
-       "Seasonal Periods:                   365   Date:                 Wed, 19 May 2021\n",
-       "Box-Cox:                          False   Time:                         10:21:59\n",
+       "Seasonal Periods:                   365   Date:                 Fri, 21 May 2021\n",
+       "Box-Cox:                          False   Time:                         12:02:51\n",
        "Box-Cox Coeff.:                    None                                         \n",
        "==================================================================================\n",
        "                           coeff                 code              optimized      \n",
@@ -1861,6 +1857,14 @@
     "predictions['hw']"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "b439e2ed-c201-4139-bc18-67bb0aceeee8",
+   "metadata": {},
+   "source": [
+    "### Visualize the predictions"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 34,
@@ -1897,6 +1901,14 @@
     "## Gonna try weekly now"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "ef7d2d94-91da-4cb5-99b3-1673e411425d",
+   "metadata": {},
+   "source": [
+    "### Resample the data to be weekly"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 14,
@@ -2340,6 +2352,14 @@
     "weekly_preds['hw'] = hw2.forecast(len(test_wk))"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "7366bf80-357e-43f0-8490-367080cf5ac2",
+   "metadata": {},
+   "source": [
+    "### Visualize the weekly predictions"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 37,
@@ -2802,7 +2822,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "predictions.to_csv('./datasets/air-quality-reports/aggregates/nyc_daily_predictions.csv')"
+    "predictions.to_csv('../predictions/nyc_daily_predictions.csv')"
    ]
   },
   {
@@ -2812,7 +2832,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "weekly_preds.to_csv('./datasets/air-quality-reports/aggregates/nyc_weekly_predictions.csv')"
+    "weekly_preds.to_csv('../predictions/nyc_weekly_predictions.csv')"
    ]
   },
   {
@@ -3074,7 +3094,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "weekly.to_csv('./datasets/air-quality-reports/aggregates/nyc_weekly_aqi.csv')"
+    "weekly.to_csv('../datasets/air-quality-reports/aggregates/NYC/nyc_weekly_aqi.csv')"
    ]
   },
   {