Created distance calculation.
This commit is contained in:
Shaun Setlock
@@ -2,7 +2,7 @@
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 22,
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"execution_count": 70,
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"metadata": {},
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"outputs": [],
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"source": [
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@@ -11,7 +11,8 @@
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"import numpy as np\n",
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"\n",
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"from great_schools import get_nearby_schools\n",
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"from secret import get_key"
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"from distance import get_distance\n",
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"from secret import get_key\n"
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]
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},
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{
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@@ -31,7 +32,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 23,
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"execution_count": 71,
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"metadata": {},
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"outputs": [],
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"source": [
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@@ -49,7 +50,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 24,
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"execution_count": 72,
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"metadata": {},
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"outputs": [],
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"source": [
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@@ -64,6 +65,7 @@
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" 'web-site',\n",
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" 'overview-url',\n",
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" 'rating-description',\n",
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" 'distance',\n",
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"]\n",
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"\n",
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"# Grab data for Boston.\n",
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@@ -73,9 +75,11 @@
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" boston_schools = get_nearby_schools(api_key,\"42.3\",\"-71.2\",\"50\")\n",
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" boston_df = pd.DataFrame.from_dict(boston_schools)\n",
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" boston_df.drop(columns=drops,inplace=True)\n",
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" boston_df.to_csv(boston_nearby_schools_file)\n",
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" boston_df.to_csv(boston_nearby_schools_file, )\n",
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"else:\n",
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" boston_df = pd.read_csv(boston_nearby_schools_file)\n",
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" boston_df.set_index(keys=[\"universal-id\"], drop=True, inplace=True)\n",
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" boston_df.drop(columns=[\"Unnamed: 0\"], inplace=True)\n",
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"\n",
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"# Grab data for Buffalo.\n",
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"refresh = False\n",
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@@ -86,7 +90,276 @@
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" buffalo_df.drop(columns=drops,inplace=True)\n",
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" buffalo_df.to_csv(buffalo_nearby_schools_file)\n",
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"else:\n",
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" buffalo_df = pd.read_csv(buffalo_nearby_schools_file)"
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" buffalo_df = pd.read_csv(buffalo_nearby_schools_file)\n",
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" buffalo_df.set_index(keys=[\"universal-id\"], drop=True, inplace=True)\n",
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" buffalo_df.drop(columns=[\"Unnamed: 0\"], inplace=True)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Process the `lat` and `lon` columns from the API output into tuples.\n",
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"\n",
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"Then create two new columns:\n",
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"- Distance to Downtown\n",
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"- Distance to Work"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 73,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Form tuple to represent coordinates\n",
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"boston_df['coordinates'] = list(zip(boston_df.lat,boston_df.lon))\n",
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"#boston_df.drop(columns=['lat', 'lon'], inplace=True)\n",
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"\n",
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"# Define coordinates of important places\n",
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"downtown=(42.3674836866797, -71.07134540735377) # Science Museum\n",
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"work=(42.47381059540949, -71.25414135292398) # Hartwell\n",
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"\n",
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"# Create new columns to tabulate distance to these important places\n",
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"boston_df['distance-to-downtown'] = boston_df['coordinates'].apply(func=get_distance,p2=downtown)\n",
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"boston_df['distance-to-work'] = boston_df['coordinates'].apply(func=get_distance,p2=work)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"For Boston, drop all schools that aren't in Massachusetts."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 74,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>state-id</th>\n",
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" <th>name</th>\n",
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" <th>type</th>\n",
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" <th>level-codes</th>\n",
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" <th>level</th>\n",
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" <th>city</th>\n",
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" <th>state</th>\n",
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" <th>zip</th>\n",
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" <th>county</th>\n",
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" <th>lat</th>\n",
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" <th>lon</th>\n",
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" <th>district-name</th>\n",
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" <th>district-id</th>\n",
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" <th>rating</th>\n",
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" <th>year</th>\n",
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" <th>coordinates</th>\n",
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" <th>distance-to-downtown</th>\n",
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" <th>distance-to-work</th>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>universal-id</th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>2501042</th>\n",
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" <td>7050505</td>\n",
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" <td>Masconomet Regional High School</td>\n",
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" <td>public</td>\n",
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" <td>h</td>\n",
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" <td>9,10,11,12</td>\n",
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" <td>Boxford</td>\n",
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" <td>MA</td>\n",
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" <td>1921</td>\n",
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" <td>Essex County</td>\n",
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" <td>42.627754</td>\n",
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" <td>-70.974693</td>\n",
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" <td>Masconomet School District</td>\n",
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" <td>259</td>\n",
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" <td>8.0</td>\n",
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" <td>2021.0</td>\n",
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" <td>(42.627754, -70.974693)</td>\n",
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" <td>30.005931</td>\n",
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" <td>28.583420</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2500337</th>\n",
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" <td>350380</td>\n",
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" <td>Young Achievers Science and Math School</td>\n",
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" <td>public</td>\n",
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" <td>p,e,m</td>\n",
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" <td>PK,KG,1,2,3,4,5,6,7,8</td>\n",
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" <td>Mattapan</td>\n",
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" <td>MA</td>\n",
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" <td>2126</td>\n",
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" <td>Suffolk County</td>\n",
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" <td>42.282269</td>\n",
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" <td>-71.095016</td>\n",
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" <td>Boston School District</td>\n",
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" <td>99</td>\n",
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" <td>2.0</td>\n",
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" <td>2021.0</td>\n",
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" <td>(42.282269, -71.095016)</td>\n",
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" <td>9.673200</td>\n",
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" <td>24.989359</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2500402</th>\n",
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" <td>440017</td>\n",
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" <td>Kennedy K-5 Elementary School</td>\n",
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" <td>public</td>\n",
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" <td>e</td>\n",
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" <td>KG,1,2,3,4,5</td>\n",
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" <td>Brockton</td>\n",
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" <td>MA</td>\n",
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" <td>2301</td>\n",
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" <td>Plymouth County</td>\n",
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" <td>42.059696</td>\n",
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" <td>-71.037262</td>\n",
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" <td>Brockton School District</td>\n",
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" <td>111</td>\n",
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" <td>4.0</td>\n",
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" <td>2021.0</td>\n",
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" <td>(42.059696, -71.037262)</td>\n",
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" <td>34.339345</td>\n",
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" <td>49.384728</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2501682</th>\n",
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" <td>3070010</td>\n",
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" <td>Boyden</td>\n",
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" <td>public</td>\n",
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" <td>e</td>\n",
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" <td>KG,1,2,3,4,5</td>\n",
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" <td>Walpole</td>\n",
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" <td>MA</td>\n",
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" <td>2071</td>\n",
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" <td>Norfolk County</td>\n",
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" <td>42.105808</td>\n",
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" <td>-71.258743</td>\n",
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" <td>Walpole School District</td>\n",
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" <td>426</td>\n",
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" <td>6.0</td>\n",
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" <td>2021.0</td>\n",
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" <td>(42.105808, -71.258743)</td>\n",
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" <td>32.933990</td>\n",
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" <td>40.921772</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2501507</th>\n",
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" <td>2760305</td>\n",
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" <td>P. Brent Trottier Middle School</td>\n",
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" <td>public</td>\n",
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" <td>m</td>\n",
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" <td>6,7,8</td>\n",
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" <td>Southborough</td>\n",
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" <td>MA</td>\n",
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" <td>1772</td>\n",
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" <td>Worcester County</td>\n",
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" <td>42.299240</td>\n",
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" <td>-71.542259</td>\n",
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" <td>Southborough School District</td>\n",
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" <td>387</td>\n",
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" <td>8.0</td>\n",
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" <td>2021.0</td>\n",
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" <td>(42.29924, -71.542259)</td>\n",
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" <td>39.445654</td>\n",
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" <td>30.606258</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" state-id name type \\\n",
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"universal-id \n",
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"2501042 7050505 Masconomet Regional High School public \n",
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"2500337 350380 Young Achievers Science and Math School public \n",
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"2500402 440017 Kennedy K-5 Elementary School public \n",
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"2501682 3070010 Boyden public \n",
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"2501507 2760305 P. Brent Trottier Middle School public \n",
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"\n",
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" level-codes level city state zip \\\n",
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"universal-id \n",
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"2501042 h 9,10,11,12 Boxford MA 1921 \n",
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"2500337 p,e,m PK,KG,1,2,3,4,5,6,7,8 Mattapan MA 2126 \n",
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"2500402 e KG,1,2,3,4,5 Brockton MA 2301 \n",
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"2501682 e KG,1,2,3,4,5 Walpole MA 2071 \n",
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"2501507 m 6,7,8 Southborough MA 1772 \n",
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"\n",
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" county lat lon \\\n",
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"universal-id \n",
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"2501042 Essex County 42.627754 -70.974693 \n",
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"2500337 Suffolk County 42.282269 -71.095016 \n",
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"2500402 Plymouth County 42.059696 -71.037262 \n",
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"2501682 Norfolk County 42.105808 -71.258743 \n",
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"2501507 Worcester County 42.299240 -71.542259 \n",
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"\n",
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" district-name district-id rating year \\\n",
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"universal-id \n",
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"2501042 Masconomet School District 259 8.0 2021.0 \n",
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"2500337 Boston School District 99 2.0 2021.0 \n",
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"2500402 Brockton School District 111 4.0 2021.0 \n",
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"2501682 Walpole School District 426 6.0 2021.0 \n",
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"2501507 Southborough School District 387 8.0 2021.0 \n",
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"\n",
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" coordinates distance-to-downtown distance-to-work \n",
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"universal-id \n",
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"2501042 (42.627754, -70.974693) 30.005931 28.583420 \n",
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"2500337 (42.282269, -71.095016) 9.673200 24.989359 \n",
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"2500402 (42.059696, -71.037262) 34.339345 49.384728 \n",
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"2501682 (42.105808, -71.258743) 32.933990 40.921772 \n",
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"2501507 (42.29924, -71.542259) 39.445654 30.606258 "
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]
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},
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"execution_count": 74,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"boston_df = boston_df[boston_df['state'] == \"MA\"]\n",
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"\n",
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"boston_df.sample(5)"
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]
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}
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],
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Block a user