Updated SchoolAnalysis1.pynb

Modified script includes some more comments about the data cleaning, and exports the cleaned data so that further analysis don't require repeating the process.

SchoolAnalysis1.ipynb

@@ -1,5 +1,12 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The dataset is from data.utah.gov, and contains the grades of schools around Utah in terms of standardized tests. This script cleans the data (removes NaNs from columns that will be used for analysis in the future), and creates new columns that have percentages of points earned in different categories for more simple comparisons."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 13,
@@ -209,6 +216,24 @@
     "    print(percent_columns[i], '\\nmean: ', means[i], '\\tmedian: ', medians[i], '\\tmax: ', maxes[i], '\\tmin: ', mins[i], '\\tvariance: ', variances[i])\n",
     "print(\"Rows: \", school.shape[0])"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Since we have made some changes to the csv, we can export it so that we only have to upload it in future scripts without cleaning it again (and again)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "school.to_csv('filtered_data.csv')"
+   ]
   }
  ],
  "metadata": {