PyCitySchools_Challenge.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Student ID</th>\n",
       "      <th>student_name</th>\n",
       "      <th>gender</th>\n",
       "      <th>grade</th>\n",
       "      <th>school_name</th>\n",
       "      <th>reading_score</th>\n",
       "      <th>math_score</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Paul Bradley</td>\n",
       "      <td>M</td>\n",
       "      <td>9th</td>\n",
       "      <td>Huang High School</td>\n",
       "      <td>66</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Victor Smith</td>\n",
       "      <td>M</td>\n",
       "      <td>12th</td>\n",
       "      <td>Huang High School</td>\n",
       "      <td>94</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>Kevin Rodriguez</td>\n",
       "      <td>M</td>\n",
       "      <td>12th</td>\n",
       "      <td>Huang High School</td>\n",
       "      <td>90</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>Richard Scott</td>\n",
       "      <td>M</td>\n",
       "      <td>12th</td>\n",
       "      <td>Huang High School</td>\n",
       "      <td>67</td>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>Bonnie Ray</td>\n",
       "      <td>F</td>\n",
       "      <td>9th</td>\n",
       "      <td>Huang High School</td>\n",
       "      <td>97</td>\n",
       "      <td>84</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "   Unnamed: 0  Student ID     student_name gender grade        school_name  \\\n",
       "0           0           0     Paul Bradley      M   9th  Huang High School   \n",
       "1           1           1     Victor Smith      M  12th  Huang High School   \n",
       "2           2           2  Kevin Rodriguez      M  12th  Huang High School   \n",
       "3           3           3    Richard Scott      M  12th  Huang High School   \n",
       "4           4           4       Bonnie Ray      F   9th  Huang High School   \n",
       "\n",
       "   reading_score  math_score  \n",
       "0             66          79  \n",
       "1             94          61  \n",
       "2             90          60  \n",
       "3             67          58  \n",
       "4             97          84  "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Dependencies and Setup\n",
    "import pandas as pd\n",
    "\n",
    "# File to Load (Remember to change the path if needed.)\n",
    "school_data_to_load = \"Resources/schools_complete.csv\"\n",
    "student_data_to_load = \"Resources/students_complete.csv\"\n",
    "\n",
    "# Read the School Data and Student Data and store into a Pandas DataFrame\n",
    "school_data_df = pd.read_csv(school_data_to_load)\n",
    "student_data_df = pd.read_csv(student_data_to_load)\n",
    "\n",
    "# Cleaning Student Names and Replacing Substrings in a Python String\n",
    "# Add each prefix and suffix to remove to a list.\n",
    "prefixes_suffixes = [\"Dr. \", \"Mr. \",\"Ms. \", \"Mrs. \", \"Miss \", \" MD\", \" DDS\", \" DVM\", \" PhD\"]\n",
    "\n",
    "# Iterate through the words in the \"prefixes_suffixes\" list and replace them with an empty space, \"\".\n",
    "for word in prefixes_suffixes:\n",
    "    student_data_df[\"student_name\"] = student_data_df[\"student_name\"].str.replace(word,\"\")\n",
    "\n",
    "# Check names.\n",
    "student_data_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Install numpy using conda install numpy or pip install numpy. \n",
    "# Step 1. Import numpy as np.\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Step 2. Use the loc method on the student_data_df to select all the reading scores from the 9th grade at Thomas High School and replace them with NaN.\n",
    "student_data_df.loc[(student_data_df[\"school_name\"]==\"Thomas High School\") & (student_data_df[\"grade\"]==\"9th\") & (student_data_df[\"reading_score\"]>0),\"reading_score\" ]=np.nan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "#  Step 3. Refactor the code in Step 2 to replace the math scores with NaN.\n",
    "student_data_df.loc[(student_data_df[\"school_name\"]==\"Thomas High School\") & (student_data_df[\"grade\"]==\"9th\") & (student_data_df[\"math_score\"]>0),\"math_score\" ]=np.nan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
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       "    <tr>\n",
       "      <th>39160</th>\n",
       "      <td>39160</td>\n",
       "      <td>39160</td>\n",
       "      <td>Katie Weaver</td>\n",
       "      <td>F</td>\n",
       "      <td>11th</td>\n",
       "      <td>Thomas High School</td>\n",
       "      <td>89.0</td>\n",
       "      <td>86.0</td>\n",
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       "    <tr>\n",
       "      <th>39161</th>\n",
       "      <td>39161</td>\n",
       "      <td>39161</td>\n",
       "      <td>April Reyes</td>\n",
       "      <td>F</td>\n",
       "      <td>10th</td>\n",
       "      <td>Thomas High School</td>\n",
       "      <td>70.0</td>\n",
       "      <td>84.0</td>\n",
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       "    <tr>\n",
       "      <th>39162</th>\n",
       "      <td>39162</td>\n",
       "      <td>39162</td>\n",
       "      <td>Derek Weeks</td>\n",
       "      <td>M</td>\n",
       "      <td>12th</td>\n",
       "      <td>Thomas High School</td>\n",
       "      <td>94.0</td>\n",
       "      <td>77.0</td>\n",
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       "    <tr>\n",
       "      <th>39163</th>\n",
       "      <td>39163</td>\n",
       "      <td>39163</td>\n",
       "      <td>John Reese</td>\n",
       "      <td>M</td>\n",
       "      <td>11th</td>\n",
       "      <td>Thomas High School</td>\n",
       "      <td>90.0</td>\n",
       "      <td>75.0</td>\n",
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       "    <tr>\n",
       "      <th>39164</th>\n",
       "      <td>39164</td>\n",
       "      <td>39164</td>\n",
       "      <td>Joseph Anthony</td>\n",
       "      <td>M</td>\n",
       "      <td>9th</td>\n",
       "      <td>Thomas High School</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>39165</th>\n",
       "      <td>39165</td>\n",
       "      <td>39165</td>\n",
       "      <td>Donna Howard</td>\n",
       "      <td>F</td>\n",
       "      <td>12th</td>\n",
       "      <td>Thomas High School</td>\n",
       "      <td>99.0</td>\n",
       "      <td>90.0</td>\n",
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       "      <td>39166</td>\n",
       "      <td>39166</td>\n",
       "      <td>Dawn Bell</td>\n",
       "      <td>F</td>\n",
       "      <td>10th</td>\n",
       "      <td>Thomas High School</td>\n",
       "      <td>95.0</td>\n",
       "      <td>70.0</td>\n",
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       "    <tr>\n",
       "      <th>39167</th>\n",
       "      <td>39167</td>\n",
       "      <td>39167</td>\n",
       "      <td>Rebecca Tanner</td>\n",
       "      <td>F</td>\n",
       "      <td>9th</td>\n",
       "      <td>Thomas High School</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39168</th>\n",
       "      <td>39168</td>\n",
       "      <td>39168</td>\n",
       "      <td>Desiree Kidd</td>\n",
       "      <td>F</td>\n",
       "      <td>10th</td>\n",
       "      <td>Thomas High School</td>\n",
       "      <td>99.0</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39169</th>\n",
       "      <td>39169</td>\n",
       "      <td>39169</td>\n",
       "      <td>Carolyn Jackson</td>\n",
       "      <td>F</td>\n",
       "      <td>11th</td>\n",
       "      <td>Thomas High School</td>\n",
       "      <td>95.0</td>\n",
       "      <td>75.0</td>\n",
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      "text/plain": [
       "       Unnamed: 0  Student ID     student_name gender grade  \\\n",
       "39160       39160       39160     Katie Weaver      F  11th   \n",
       "39161       39161       39161      April Reyes      F  10th   \n",
       "39162       39162       39162      Derek Weeks      M  12th   \n",
       "39163       39163       39163       John Reese      M  11th   \n",
       "39164       39164       39164   Joseph Anthony      M   9th   \n",
       "39165       39165       39165     Donna Howard      F  12th   \n",
       "39166       39166       39166        Dawn Bell      F  10th   \n",
       "39167       39167       39167   Rebecca Tanner      F   9th   \n",
       "39168       39168       39168     Desiree Kidd      F  10th   \n",
       "39169       39169       39169  Carolyn Jackson      F  11th   \n",
       "\n",
       "              school_name  reading_score  math_score  \n",
       "39160  Thomas High School           89.0        86.0  \n",
       "39161  Thomas High School           70.0        84.0  \n",
       "39162  Thomas High School           94.0        77.0  \n",
       "39163  Thomas High School           90.0        75.0  \n",
       "39164  Thomas High School            NaN         NaN  \n",
       "39165  Thomas High School           99.0        90.0  \n",
       "39166  Thomas High School           95.0        70.0  \n",
       "39167  Thomas High School            NaN         NaN  \n",
       "39168  Thomas High School           99.0        90.0  \n",
       "39169  Thomas High School           95.0        75.0  "
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#  Step 4. Check the student data for NaN's.\n",
    "student_data_df.tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
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       "      <th>School ID</th>\n",
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       "      <th>0</th>\n",
       "      <td>0</td>\n",
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       "      <td>Paul Bradley</td>\n",
       "      <td>M</td>\n",
       "      <td>9th</td>\n",
       "      <td>Huang High School</td>\n",
       "      <td>66.0</td>\n",
       "      <td>79.0</td>\n",
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       "      <td>District</td>\n",
       "      <td>2917</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Victor Smith</td>\n",
       "      <td>M</td>\n",
       "      <td>12th</td>\n",
       "      <td>Huang High School</td>\n",
       "      <td>94.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>0</td>\n",
       "      <td>District</td>\n",
       "      <td>2917</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>Kevin Rodriguez</td>\n",
       "      <td>M</td>\n",
       "      <td>12th</td>\n",
       "      <td>Huang High School</td>\n",
       "      <td>90.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0</td>\n",
       "      <td>District</td>\n",
       "      <td>2917</td>\n",
       "      <td>1910635</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>Richard Scott</td>\n",
       "      <td>M</td>\n",
       "      <td>12th</td>\n",
       "      <td>Huang High School</td>\n",
       "      <td>67.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>0</td>\n",
       "      <td>District</td>\n",
       "      <td>2917</td>\n",
       "      <td>1910635</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>Bonnie Ray</td>\n",
       "      <td>F</td>\n",
       "      <td>9th</td>\n",
       "      <td>Huang High School</td>\n",
       "      <td>97.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>0</td>\n",
       "      <td>District</td>\n",
       "      <td>2917</td>\n",
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      "text/plain": [
       "   Unnamed: 0  Student ID     student_name gender grade        school_name  \\\n",
       "0           0           0     Paul Bradley      M   9th  Huang High School   \n",
       "1           1           1     Victor Smith      M  12th  Huang High School   \n",
       "2           2           2  Kevin Rodriguez      M  12th  Huang High School   \n",
       "3           3           3    Richard Scott      M  12th  Huang High School   \n",
       "4           4           4       Bonnie Ray      F   9th  Huang High School   \n",
       "\n",
       "   reading_score  math_score  School ID      type  size   budget  \n",
       "0           66.0        79.0          0  District  2917  1910635  \n",
       "1           94.0        61.0          0  District  2917  1910635  \n",
       "2           90.0        60.0          0  District  2917  1910635  \n",
       "3           67.0        58.0          0  District  2917  1910635  \n",
       "4           97.0        84.0          0  District  2917  1910635  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Combine the data into a single dataset\n",
    "school_data_complete_df = pd.merge(student_data_df, school_data_df, how=\"left\", on=[\"school_name\", \"school_name\"])\n",
    "school_data_complete_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    " # Calculate the Totals (Schools and Students)\n",
    "school_count = len(school_data_complete_df[\"school_name\"].unique())\n",
    "student_count = school_data_complete_df[\"Student ID\"].count()\n",
    "\n",
    "# Calculate the Total Budget\n",
    "total_budget = school_data_df[\"budget\"].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate the Average Scores using the \"clean_student_data\".\n",
    "average_reading_score = school_data_complete_df[\"reading_score\"].mean()\n",
    "average_math_score = school_data_complete_df[\"math_score\"].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate the passing rates using the \"clean_student_data\".\n",
    "\n",
    "passing_math_count = school_data_complete_df[(school_data_complete_df[\"math_score\"] >= 70)].count()[\"student_name\"]\n",
    "passing_reading_count = school_data_complete_df[(school_data_complete_df[\"reading_score\"] >= 70)].count()[\"student_name\"]\n",
    "\n",
    "#  Use the \"clean_student_data\" count to calculate averages. \n",
    "student_count = school_data_complete_df[\"Student ID\"].count()\n",
    "passing_math_percentage = passing_math_count / float(student_count) * 100\n",
    "passing_reading_percentage = passing_reading_count / float(student_count) * 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate the students who passed both reading and math.\n",
    "passing_math_reading = school_data_complete_df[(school_data_complete_df[\"math_score\"] >= 70)\n",
    "                                               & (school_data_complete_df[\"reading_score\"] >= 70)]\n",
    "\n",
    "# Calculate the number of students that passed both reading and math.\n",
    "overall_passing_math_reading_count = passing_math_reading[\"student_name\"].count()\n",
    "\n",
    "# Calculate the overall passing percentage. \n",
    "overall_passing_percentage = overall_passing_math_reading_count/ student_count * 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Total Schools</th>\n",
       "      <th>Total Students</th>\n",
       "      <th>Total Budget</th>\n",
       "      <th>Average Math Score</th>\n",
       "      <th>Average Reading Score</th>\n",
       "      <th>% Passing Math</th>\n",
       "      <th>% Passing Reading</th>\n",
       "      <th>% Overall Passing</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>15</td>\n",
       "      <td>39,170</td>\n",
       "      <td>$24,649,428.00</td>\n",
       "      <td>78.9</td>\n",
       "      <td>81.9</td>\n",
       "      <td>73.9</td>\n",
       "      <td>84.7</td>\n",
       "      <td>64.1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Total Schools Total Students    Total Budget Average Math Score  \\\n",
       "0             15         39,170  $24,649,428.00               78.9   \n",
       "\n",
       "  Average Reading Score % Passing Math % Passing Reading % Overall Passing  \n",
       "0                  81.9           73.9              84.7              64.1  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a DataFrame\n",
    "district_summary_df = pd.DataFrame(\n",
    "          [{\"Total Schools\": school_count, \n",
    "          \"Total Students\": student_count, \n",
    "          \"Total Budget\": total_budget,\n",
    "          \"Average Math Score\": average_math_score, \n",
    "          \"Average Reading Score\": average_reading_score,\n",
    "          \"% Passing Math\": passing_math_percentage,\n",
    "         \"% Passing Reading\": passing_reading_percentage,\n",
    "        \"% Overall Passing\": overall_passing_percentage}])\n",
    "\n",
    "\n",
    "\n",
    "# Format the \"Total Students\" to have the comma for a thousands separator.\n",
    "district_summary_df[\"Total Students\"] = district_summary_df[\"Total Students\"].map(\"{:,}\".format)\n",
    "# Format the \"Total Budget\" to have the comma for a thousands separator, a decimal separator and a \"$\".\n",
    "district_summary_df[\"Total Budget\"] = district_summary_df[\"Total Budget\"].map(\"${:,.2f}\".format)\n",
    "# Format the columns.\n",
    "district_summary_df[\"Average Math Score\"] = district_summary_df[\"Average Math Score\"].map(\"{:.1f}\".format)\n",
    "district_summary_df[\"Average Reading Score\"] = district_summary_df[\"Average Reading Score\"].map(\"{:.1f}\".format)\n",
    "district_summary_df[\"% Passing Math\"] = district_summary_df[\"% Passing Math\"].map(\"{:.1f}\".format)\n",
    "district_summary_df[\"% Passing Reading\"] = district_summary_df[\"% Passing Reading\"].map(\"{:.1f}\".format)\n",
    "district_summary_df[\"% Overall Passing\"] = district_summary_df[\"% Overall Passing\"].map(\"{:.1f}\".format)\n",
    "\n",
    "# Display the data frame\n",
    "district_summary_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Determine the School Type\n",
    "per_school_types = school_data_df.set_index([\"school_name\"])[\"type\"]\n",
    "\n",
    "# Calculate the total student count.\n",
    "per_school_counts = school_data_complete_df[\"school_name\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate the total school budget and per capita spending\n",
    "per_school_budget = school_data_complete_df.groupby([\"school_name\"]).mean()[\"budget\"]\n",
    "# Calculate the per capita spending.\n",
    "per_school_capita = per_school_budget / per_school_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate the average test scores.\n",
    "per_school_math = school_data_complete_df.groupby([\"school_name\"]).mean()[\"math_score\"]\n",
    "per_school_reading = school_data_complete_df.groupby([\"school_name\"]).mean()[\"reading_score\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate the passing scores by creating a filtered DataFrame.\n",
    "per_school_passing_math = school_data_complete_df[(school_data_complete_df[\"math_score\"] >= 70)]\n",
    "per_school_passing_reading = school_data_complete_df[(school_data_complete_df[\"reading_score\"] >= 70)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    " # Calculate the number of students passing math and passing reading by school.\n",
    "per_school_passing_math = per_school_passing_math.groupby([\"school_name\"]).count()[\"student_name\"]\n",
    "per_school_passing_reading = per_school_passing_reading.groupby([\"school_name\"]).count()[\"student_name\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate the percentage of passing math and reading scores per school.\n",
    "per_school_passing_math = per_school_passing_math / per_school_counts * 100\n",
    "per_school_passing_reading = per_school_passing_reading / per_school_counts * 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate the students who passed both reading and math.\n",
    "per_passing_math_reading = school_data_complete_df[(school_data_complete_df[\"reading_score\"] >= 70)\n",
    "                                               & (school_data_complete_df[\"math_score\"] >= 70)]\n",
    "\n",
    "# Calculate the number of students passing math and passing reading by school.\n",
    "per_passing_math_reading = per_passing_math_reading.groupby([\"school_name\"]).count()[\"student_name\"]\n",
    "\n",
    "# Calculate the percentage of passing math and reading scores per school.\n",
    "per_overall_passing_percentage = per_passing_math_reading / per_school_counts * 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>School Type</th>\n",
       "      <th>Total Students</th>\n",
       "      <th>Total School Budget</th>\n",
       "      <th>Per Student Budget</th>\n",
       "      <th>Average Math Score</th>\n",
       "      <th>Average Reading Score</th>\n",
       "      <th>% Passing Math</th>\n",
       "      <th>% Passing Reading</th>\n",
       "      <th>% Overall Passing</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Bailey High School</th>\n",
       "      <td>District</td>\n",
       "      <td>4976</td>\n",
       "      <td>3124928.0</td>\n",
       "      <td>628.0</td>\n",
       "      <td>77.048432</td>\n",
       "      <td>81.033963</td>\n",
       "      <td>66.680064</td>\n",
       "      <td>81.933280</td>\n",
       "      <td>54.642283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cabrera High School</th>\n",
       "      <td>Charter</td>\n",
       "      <td>1858</td>\n",
       "      <td>1081356.0</td>\n",
       "      <td>582.0</td>\n",
       "      <td>83.061895</td>\n",
       "      <td>83.975780</td>\n",
       "      <td>94.133477</td>\n",
       "      <td>97.039828</td>\n",
       "      <td>91.334769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Figueroa High School</th>\n",
       "      <td>District</td>\n",
       "      <td>2949</td>\n",
       "      <td>1884411.0</td>\n",
       "      <td>639.0</td>\n",
       "      <td>76.711767</td>\n",
       "      <td>81.158020</td>\n",
       "      <td>65.988471</td>\n",
       "      <td>80.739234</td>\n",
       "      <td>53.204476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ford High School</th>\n",
       "      <td>District</td>\n",
       "      <td>2739</td>\n",
       "      <td>1763916.0</td>\n",
       "      <td>644.0</td>\n",
       "      <td>77.102592</td>\n",
       "      <td>80.746258</td>\n",
       "      <td>68.309602</td>\n",
       "      <td>79.299014</td>\n",
       "      <td>54.289887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Griffin High School</th>\n",
       "      <td>Charter</td>\n",
       "      <td>1468</td>\n",
       "      <td>917500.0</td>\n",
       "      <td>625.0</td>\n",
       "      <td>83.351499</td>\n",
       "      <td>83.816757</td>\n",
       "      <td>93.392371</td>\n",
       "      <td>97.138965</td>\n",
       "      <td>90.599455</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     School Type  Total Students  Total School Budget  \\\n",
       "Bailey High School      District            4976            3124928.0   \n",
       "Cabrera High School      Charter            1858            1081356.0   \n",
       "Figueroa High School    District            2949            1884411.0   \n",
       "Ford High School        District            2739            1763916.0   \n",
       "Griffin High School      Charter            1468             917500.0   \n",
       "\n",
       "                      Per Student Budget  Average Math Score  \\\n",
       "Bailey High School                 628.0           77.048432   \n",
       "Cabrera High School                582.0           83.061895   \n",
       "Figueroa High School               639.0           76.711767   \n",
       "Ford High School                   644.0           77.102592   \n",
       "Griffin High School                625.0           83.351499   \n",
       "\n",
       "                      Average Reading Score  % Passing Math  \\\n",
       "Bailey High School                81.033963       66.680064   \n",
       "Cabrera High School               83.975780       94.133477   \n",
       "Figueroa High School              81.158020       65.988471   \n",
       "Ford High School                  80.746258       68.309602   \n",
       "Griffin High School               83.816757       93.392371   \n",
       "\n",
       "                      % Passing Reading  % Overall Passing  \n",
       "Bailey High School            81.933280          54.642283  \n",
       "Cabrera High School           97.039828          91.334769  \n",
       "Figueroa High School          80.739234          53.204476  \n",
       "Ford High School              79.299014          54.289887  \n",
       "Griffin High School           97.138965          90.599455  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "per_school_summary_df = pd.DataFrame({\n",
    "    \"School Type\": per_school_types,\n",
    "    \"Total Students\": per_school_counts,\n",
    "    \"Total School Budget\": per_school_budget,\n",
    "    \"Per Student Budget\": per_school_capita,\n",
    "    \"Average Math Score\": per_school_math,\n",
    "    \"Average Reading Score\": per_school_reading,\n",
    "    \"% Passing Math\": per_school_passing_math,\n",
    "    \"% Passing Reading\": per_school_passing_reading,\n",
    "    \"% Overall Passing\": per_overall_passing_percentage})\n",
    "\n",
    "per_school_summary_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>School Type</th>\n",
       "      <th>Total Students</th>\n",
       "      <th>Total School Budget</th>\n",
       "      <th>Per Student Budget</th>\n",
       "      <th>Average Math Score</th>\n",
       "      <th>Average Reading Score</th>\n",
       "      <th>% Passing Math</th>\n",
       "      <th>% Passing Reading</th>\n",
       "      <th>% Overall Passing</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Bailey High School</th>\n",
       "      <td>District</td>\n",
       "      <td>4976</td>\n",
       "      <td>$3,124,928.00</td>\n",
       "      <td>$628.00</td>\n",
       "      <td>77.048432</td>\n",
       "      <td>81.033963</td>\n",
       "      <td>66.680064</td>\n",
       "      <td>81.933280</td>\n",
       "      <td>54.642283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cabrera High School</th>\n",
       "      <td>Charter</td>\n",
       "      <td>1858</td>\n",
       "      <td>$1,081,356.00</td>\n",
       "      <td>$582.00</td>\n",
       "      <td>83.061895</td>\n",
       "      <td>83.975780</td>\n",
       "      <td>94.133477</td>\n",
       "      <td>97.039828</td>\n",
       "      <td>91.334769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Figueroa High School</th>\n",
       "      <td>District</td>\n",
       "      <td>2949</td>\n",
       "      <td>$1,884,411.00</td>\n",
       "      <td>$639.00</td>\n",
       "      <td>76.711767</td>\n",
       "      <td>81.158020</td>\n",
       "      <td>65.988471</td>\n",
       "      <td>80.739234</td>\n",
       "      <td>53.204476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ford High School</th>\n",
       "      <td>District</td>\n",
       "      <td>2739</td>\n",
       "      <td>$1,763,916.00</td>\n",
       "      <td>$644.00</td>\n",
       "      <td>77.102592</td>\n",
       "      <td>80.746258</td>\n",
       "      <td>68.309602</td>\n",
       "      <td>79.299014</td>\n",
       "      <td>54.289887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Griffin High School</th>\n",
       "      <td>Charter</td>\n",
       "      <td>1468</td>\n",
       "      <td>$917,500.00</td>\n",
       "      <td>$625.00</td>\n",
       "      <td>83.351499</td>\n",
       "      <td>83.816757</td>\n",
       "      <td>93.392371</td>\n",
       "      <td>97.138965</td>\n",
       "      <td>90.599455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hernandez High School</th>\n",
       "      <td>District</td>\n",
       "      <td>4635</td>\n",
       "      <td>$3,022,020.00</td>\n",
       "      <td>$652.00</td>\n",
       "      <td>77.289752</td>\n",
       "      <td>80.934412</td>\n",
       "      <td>66.752967</td>\n",
       "      <td>80.862999</td>\n",
       "      <td>53.527508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Holden High School</th>\n",
       "      <td>Charter</td>\n",
       "      <td>427</td>\n",
       "      <td>$248,087.00</td>\n",
       "      <td>$581.00</td>\n",
       "      <td>83.803279</td>\n",
       "      <td>83.814988</td>\n",
       "      <td>92.505855</td>\n",
       "      <td>96.252927</td>\n",
       "      <td>89.227166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Huang High School</th>\n",
       "      <td>District</td>\n",
       "      <td>2917</td>\n",
       "      <td>$1,910,635.00</td>\n",
       "      <td>$655.00</td>\n",
       "      <td>76.629414</td>\n",
       "      <td>81.182722</td>\n",
       "      <td>65.683922</td>\n",
       "      <td>81.316421</td>\n",
       "      <td>53.513884</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Johnson High School</th>\n",
       "      <td>District</td>\n",
       "      <td>4761</td>\n",
       "      <td>$3,094,650.00</td>\n",
       "      <td>$650.00</td>\n",
       "      <td>77.072464</td>\n",
       "      <td>80.966394</td>\n",
       "      <td>66.057551</td>\n",
       "      <td>81.222432</td>\n",
       "      <td>53.539172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pena High School</th>\n",
       "      <td>Charter</td>\n",
       "      <td>962</td>\n",
       "      <td>$585,858.00</td>\n",
       "      <td>$609.00</td>\n",
       "      <td>83.839917</td>\n",
       "      <td>84.044699</td>\n",
       "      <td>94.594595</td>\n",
       "      <td>95.945946</td>\n",
       "      <td>90.540541</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rodriguez High School</th>\n",
       "      <td>District</td>\n",
       "      <td>3999</td>\n",
       "      <td>$2,547,363.00</td>\n",
       "      <td>$637.00</td>\n",
       "      <td>76.842711</td>\n",
       "      <td>80.744686</td>\n",
       "      <td>66.366592</td>\n",
       "      <td>80.220055</td>\n",
       "      <td>52.988247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shelton High School</th>\n",
       "      <td>Charter</td>\n",
       "      <td>1761</td>\n",
       "      <td>$1,056,600.00</td>\n",
       "      <td>$600.00</td>\n",
       "      <td>83.359455</td>\n",
       "      <td>83.725724</td>\n",
       "      <td>93.867121</td>\n",
       "      <td>95.854628</td>\n",
       "      <td>89.892107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thomas High School</th>\n",
       "      <td>Charter</td>\n",
       "      <td>1635</td>\n",
       "      <td>$1,043,130.00</td>\n",
       "      <td>$638.00</td>\n",
       "      <td>83.350937</td>\n",
       "      <td>83.896082</td>\n",
       "      <td>66.911315</td>\n",
       "      <td>69.663609</td>\n",
       "      <td>65.076453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wilson High School</th>\n",
       "      <td>Charter</td>\n",
       "      <td>2283</td>\n",
       "      <td>$1,319,574.00</td>\n",
       "      <td>$578.00</td>\n",
       "      <td>83.274201</td>\n",
       "      <td>83.989488</td>\n",
       "      <td>93.867718</td>\n",
       "      <td>96.539641</td>\n",
       "      <td>90.582567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wright High School</th>\n",
       "      <td>Charter</td>\n",
       "      <td>1800</td>\n",
       "      <td>$1,049,400.00</td>\n",
       "      <td>$583.00</td>\n",
       "      <td>83.682222</td>\n",
       "      <td>83.955000</td>\n",
       "      <td>93.333333</td>\n",
       "      <td>96.611111</td>\n",
       "      <td>90.333333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      School Type  Total Students Total School Budget  \\\n",
       "Bailey High School       District            4976       $3,124,928.00   \n",
       "Cabrera High School       Charter            1858       $1,081,356.00   \n",
       "Figueroa High School     District            2949       $1,884,411.00   \n",
       "Ford High School         District            2739       $1,763,916.00   \n",
       "Griffin High School       Charter            1468         $917,500.00   \n",
       "Hernandez High School    District            4635       $3,022,020.00   \n",
       "Holden High School        Charter             427         $248,087.00   \n",
       "Huang High School        District            2917       $1,910,635.00   \n",
       "Johnson High School      District            4761       $3,094,650.00   \n",
       "Pena High School          Charter             962         $585,858.00   \n",
       "Rodriguez High School    District            3999       $2,547,363.00   \n",
       "Shelton High School       Charter            1761       $1,056,600.00   \n",
       "Thomas High School        Charter            1635       $1,043,130.00   \n",
       "Wilson High School        Charter            2283       $1,319,574.00   \n",
       "Wright High School        Charter            1800       $1,049,400.00   \n",
       "\n",
       "                      Per Student Budget  Average Math Score  \\\n",
       "Bailey High School               $628.00           77.048432   \n",
       "Cabrera High School              $582.00           83.061895   \n",
       "Figueroa High School             $639.00           76.711767   \n",
       "Ford High School                 $644.00           77.102592   \n",
       "Griffin High School              $625.00           83.351499   \n",
       "Hernandez High School            $652.00           77.289752   \n",
       "Holden High School               $581.00           83.803279   \n",
       "Huang High School                $655.00           76.629414   \n",
       "Johnson High School              $650.00           77.072464   \n",
       "Pena High School                 $609.00           83.839917   \n",
       "Rodriguez High School            $637.00           76.842711   \n",
       "Shelton High School              $600.00           83.359455   \n",
       "Thomas High School               $638.00           83.350937   \n",
       "Wilson High School               $578.00           83.274201   \n",
       "Wright High School               $583.00           83.682222   \n",
       "\n",
       "                       Average Reading Score  % Passing Math  \\\n",
       "Bailey High School                 81.033963       66.680064   \n",
       "Cabrera High School                83.975780       94.133477   \n",
       "Figueroa High School               81.158020       65.988471   \n",
       "Ford High School                   80.746258       68.309602   \n",
       "Griffin High School                83.816757       93.392371   \n",
       "Hernandez High School              80.934412       66.752967   \n",
       "Holden High School                 83.814988       92.505855   \n",
       "Huang High School                  81.182722       65.683922   \n",
       "Johnson High School                80.966394       66.057551   \n",
       "Pena High School                   84.044699       94.594595   \n",
       "Rodriguez High School              80.744686       66.366592   \n",
       "Shelton High School                83.725724       93.867121   \n",
       "Thomas High School                 83.896082       66.911315   \n",
       "Wilson High School                 83.989488       93.867718   \n",
       "Wright High School                 83.955000       93.333333   \n",
       "\n",
       "                       % Passing Reading  % Overall Passing  \n",
       "Bailey High School             81.933280          54.642283  \n",
       "Cabrera High School            97.039828          91.334769  \n",
       "Figueroa High School           80.739234          53.204476  \n",
       "Ford High School               79.299014          54.289887  \n",
       "Griffin High School            97.138965          90.599455  \n",
       "Hernandez High School          80.862999          53.527508  \n",
       "Holden High School             96.252927          89.227166  \n",
       "Huang High School              81.316421          53.513884  \n",
       "Johnson High School            81.222432          53.539172  \n",
       "Pena High School               95.945946          90.540541  \n",
       "Rodriguez High School          80.220055          52.988247  \n",
       "Shelton High School            95.854628          89.892107  \n",
       "Thomas High School             69.663609          65.076453  \n",
       "Wilson High School             96.539641          90.582567  \n",
       "Wright High School             96.611111          90.333333  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Format the Total School Budget and the Per Student Budget\n",
    "per_school_summary_df[\"Total School Budget\"] = per_school_summary_df[\"Total School Budget\"].map(\"${:,.2f}\".format)\n",
    "per_school_summary_df[\"Per Student Budget\"] = per_school_summary_df[\"Per Student Budget\"].map(\"${:,.2f}\".format)\n",
    "\n",
    "# Display the data frame\n",
    "per_school_summary_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "    }\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>School Type</th>\n",
       "      <th>Total Students</th>\n",
       "      <th>Total School Budget</th>\n",
       "      <th>Per Student Budget</th>\n",
       "      <th>Average Math Score</th>\n",
       "      <th>Average Reading Score</th>\n",
       "      <th>% Passing Math</th>\n",
       "      <th>% Passing Reading</th>\n",
       "      <th>% Overall Passing</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Cabrera High School</th>\n",
       "      <td>Charter</td>\n",
       "      <td>1858</td>\n",
       "      <td>$1,081,356.00</td>\n",
       "      <td>$582.00</td>\n",
       "      <td>83.061895</td>\n",
       "      <td>83.975780</td>\n",
       "      <td>94.133477</td>\n",
       "      <td>97.039828</td>\n",
       "      <td>91.334769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Griffin High School</th>\n",
       "      <td>Charter</td>\n",
       "      <td>1468</td>\n",
       "      <td>$917,500.00</td>\n",
       "      <td>$625.00</td>\n",
       "      <td>83.351499</td>\n",
       "      <td>83.816757</td>\n",
       "      <td>93.392371</td>\n",
       "      <td>97.138965</td>\n",
       "      <td>90.599455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wilson High School</th>\n",
       "      <td>Charter</td>\n",
       "      <td>2283</td>\n",
       "      <td>$1,319,574.00</td>\n",
       "      <td>$578.00</td>\n",
       "      <td>83.274201</td>\n",
       "      <td>83.989488</td>\n",
       "      <td>93.867718</td>\n",
       "      <td>96.539641</td>\n",
       "      <td>90.582567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pena High School</th>\n",
       "      <td>Charter</td>\n",
       "      <td>962</td>\n",
       "      <td>$585,858.00</td>\n",
       "      <td>$609.00</td>\n",
       "      <td>83.839917</td>\n",
       "      <td>84.044699</td>\n",
       "      <td>94.594595</td>\n",
       "      <td>95.945946</td>\n",
       "      <td>90.540541</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wright High School</th>\n",
       "      <td>Charter</td>\n",
       "      <td>1800</td>\n",
       "      <td>$1,049,400.00</td>\n",
       "      <td>$583.00</td>\n",
       "      <td>83.682222</td>\n",
       "      <td>83.955000</td>\n",
       "      <td>93.333333</td>\n",
       "      <td>96.611111</td>\n",
       "      <td>90.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shelton High School</th>\n",
       "      <td>Charter</td>\n",
       "      <td>1761</td>\n",
       "      <td>$1,056,600.00</td>\n",
       "      <td>$600.00</td>\n",
       "      <td>83.359455</td>\n",
       "      <td>83.725724</td>\n",
       "      <td>93.867121</td>\n",
       "      <td>95.854628</td>\n",
       "      <td>89.892107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Holden High School</th>\n",
       "      <td>Charter</td>\n",
       "      <td>427</td>\n",
       "      <td>$248,087.00</td>\n",
       "      <td>$581.00</td>\n",
       "      <td>83.803279</td>\n",
       "      <td>83.814988</td>\n",
       "      <td>92.505855</td>\n",
       "      <td>96.252927</td>\n",
       "      <td>89.227166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thomas High School</th>\n",
       "      <td>Charter</td>\n",
       "      <td>1635</td>\n",
       "      <td>$1,043,130.00</td>\n",
       "      <td>$638.00</td>\n",
       "      <td>83.350937</td>\n",
       "      <td>83.896082</td>\n",
       "      <td>66.911315</td>\n",
       "      <td>69.663609</td>\n",
       "      <td>65.076453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bailey High School</th>\n",
       "      <td>District</td>\n",
       "      <td>4976</td>\n",
       "      <td>$3,124,928.00</td>\n",
       "      <td>$628.00</td>\n",
       "      <td>77.048432</td>\n",
       "      <td>81.033963</td>\n",
       "      <td>66.680064</td>\n",
       "      <td>81.933280</td>\n",
       "      <td>54.642283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ford High School</th>\n",
       "      <td>District</td>\n",
       "      <td>2739</td>\n",
       "      <td>$1,763,916.00</td>\n",
       "      <td>$644.00</td>\n",
       "      <td>77.102592</td>\n",
       "      <td>80.746258</td>\n",
       "      <td>68.309602</td>\n",
       "      <td>79.299014</td>\n",
       "      <td>54.289887</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    School Type  Total Students Total School Budget  \\\n",
       "Cabrera High School     Charter            1858       $1,081,356.00   \n",
       "Griffin High School     Charter            1468         $917,500.00   \n",
       "Wilson High School      Charter            2283       $1,319,574.00   \n",
       "Pena High School        Charter             962         $585,858.00   \n",
       "Wright High School      Charter            1800       $1,049,400.00   \n",
       "Shelton High School     Charter            1761       $1,056,600.00   \n",
       "Holden High School      Charter             427         $248,087.00   \n",
       "Thomas High School      Charter            1635       $1,043,130.00   \n",
       "Bailey High School     District            4976       $3,124,928.00   \n",
       "Ford High School       District            2739       $1,763,916.00   \n",
       "\n",
       "                    Per Student Budget  Average Math Score  \\\n",
       "Cabrera High School            $582.00           83.061895   \n",
       "Griffin High School            $625.00           83.351499   \n",
       "Wilson High School             $578.00           83.274201   \n",
       "Pena High School               $609.00           83.839917   \n",
       "Wright High School             $583.00           83.682222   \n",
       "Shelton High School            $600.00           83.359455   \n",
       "Holden High School             $581.00           83.803279   \n",
       "Thomas High School             $638.00           83.350937   \n",
       "Bailey High School             $628.00           77.048432   \n",
       "Ford High School               $644.00           77.102592   \n",
       "\n",
       "                     Average Reading Score  % Passing Math  % Passing Reading  \\\n",
       "Cabrera High School              83.975780       94.133477          97.039828   \n",
       "Griffin High School              83.816757       93.392371          97.138965   \n",
       "Wilson High School               83.989488       93.867718          96.539641   \n",
       "Pena High School                 84.044699       94.594595          95.945946   \n",
       "Wright High School               83.955000       93.333333          96.611111   \n",
       "Shelton High School              83.725724       93.867121          95.854628   \n",
       "Holden High School               83.814988       92.505855          96.252927   \n",
       "Thomas High School               83.896082       66.911315          69.663609   \n",
       "Bailey High School               81.033963       66.680064          81.933280   \n",
       "Ford High School                 80.746258       68.309602          79.299014   \n",
       "\n",
       "                     % Overall Passing  \n",
       "Cabrera High School          91.334769  \n",
       "Griffin High School          90.599455  \n",
       "Wilson High School           90.582567  \n",
       "Pena High School             90.540541  \n",
       "Wright High School           90.333333  \n",
       "Shelton High School          89.892107  \n",
       "Holden High School           89.227166  \n",
       "Thomas High School           65.076453  \n",
       "Bailey High School           54.642283  \n",
       "Ford High School             54.289887  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Sort and show top five schools.\n",
    "top_schools = per_school_summary_df.sort_values([\"% Overall Passing\"], ascending=False)\n",
    "top_schools.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>School Type</th>\n",
       "      <th>Total Students</th>\n",
       "      <th>Total School Budget</th>\n",
       "      <th>Per Student Budget</th>\n",
       "      <th>Average Math Score</th>\n",
       "      <th>Average Reading Score</th>\n",
       "      <th>% Passing Math</th>\n",
       "      <th>% Passing Reading</th>\n",
       "      <th>% Overall Passing</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Rodriguez High School</th>\n",
       "      <td>District</td>\n",
       "      <td>3999</td>\n",
       "      <td>$2,547,363.00</td>\n",
       "      <td>$637.00</td>\n",
       "      <td>76.842711</td>\n",
       "      <td>80.744686</td>\n",
       "      <td>66.366592</td>\n",
       "      <td>80.220055</td>\n",
       "      <td>52.988247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Figueroa High School</th>\n",
       "      <td>District</td>\n",
       "      <td>2949</td>\n",
       "      <td>$1,884,411.00</td>\n",
       "      <td>$639.00</td>\n",
       "      <td>76.711767</td>\n",
       "      <td>81.158020</td>\n",
       "      <td>65.988471</td>\n",
       "      <td>80.739234</td>\n",
       "      <td>53.204476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Huang High School</th>\n",
       "      <td>District</td>\n",
       "      <td>2917</td>\n",
       "      <td>$1,910,635.00</td>\n",
       "      <td>$655.00</td>\n",
       "      <td>76.629414</td>\n",
       "      <td>81.182722</td>\n",
       "      <td>65.683922</td>\n",
       "      <td>81.316421</td>\n",
       "      <td>53.513884</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hernandez High School</th>\n",
       "      <td>District</td>\n",
       "      <td>4635</td>\n",
       "      <td>$3,022,020.00</td>\n",
       "      <td>$652.00</td>\n",
       "      <td>77.289752</td>\n",
       "      <td>80.934412</td>\n",
       "      <td>66.752967</td>\n",
       "      <td>80.862999</td>\n",
       "      <td>53.527508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Johnson High School</th>\n",
       "      <td>District</td>\n",
       "      <td>4761</td>\n",
       "      <td>$3,094,650.00</td>\n",
       "      <td>$650.00</td>\n",
       "      <td>77.072464</td>\n",
       "      <td>80.966394</td>\n",
       "      <td>66.057551</td>\n",
       "      <td>81.222432</td>\n",
       "      <td>53.539172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ford High School</th>\n",
       "      <td>District</td>\n",
       "      <td>2739</td>\n",
       "      <td>$1,763,916.00</td>\n",
       "      <td>$644.00</td>\n",
       "      <td>77.102592</td>\n",
       "      <td>80.746258</td>\n",
       "      <td>68.309602</td>\n",
       "      <td>79.299014</td>\n",
       "      <td>54.289887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bailey High School</th>\n",
       "      <td>District</td>\n",
       "      <td>4976</td>\n",
       "      <td>$3,124,928.00</td>\n",
       "      <td>$628.00</td>\n",
       "      <td>77.048432</td>\n",
       "      <td>81.033963</td>\n",
       "      <td>66.680064</td>\n",
       "      <td>81.933280</td>\n",
       "      <td>54.642283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thomas High School</th>\n",
       "      <td>Charter</td>\n",
       "      <td>1635</td>\n",
       "      <td>$1,043,130.00</td>\n",
       "      <td>$638.00</td>\n",
       "      <td>83.350937</td>\n",
       "      <td>83.896082</td>\n",
       "      <td>66.911315</td>\n",
       "      <td>69.663609</td>\n",
       "      <td>65.076453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Holden High School</th>\n",
       "      <td>Charter</td>\n",
       "      <td>427</td>\n",
       "      <td>$248,087.00</td>\n",
       "      <td>$581.00</td>\n",
       "      <td>83.803279</td>\n",
       "      <td>83.814988</td>\n",
       "      <td>92.505855</td>\n",
       "      <td>96.252927</td>\n",
       "      <td>89.227166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shelton High School</th>\n",
       "      <td>Charter</td>\n",
       "      <td>1761</td>\n",
       "      <td>$1,056,600.00</td>\n",
       "      <td>$600.00</td>\n",
       "      <td>83.359455</td>\n",
       "      <td>83.725724</td>\n",
       "      <td>93.867121</td>\n",
       "      <td>95.854628</td>\n",
       "      <td>89.892107</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      School Type  Total Students Total School Budget  \\\n",
       "Rodriguez High School    District            3999       $2,547,363.00   \n",
       "Figueroa High School     District            2949       $1,884,411.00   \n",
       "Huang High School        District            2917       $1,910,635.00   \n",
       "Hernandez High School    District            4635       $3,022,020.00   \n",
       "Johnson High School      District            4761       $3,094,650.00   \n",
       "Ford High School         District            2739       $1,763,916.00   \n",
       "Bailey High School       District            4976       $3,124,928.00   \n",
       "Thomas High School        Charter            1635       $1,043,130.00   \n",
       "Holden High School        Charter             427         $248,087.00   \n",
       "Shelton High School       Charter            1761       $1,056,600.00   \n",
       "\n",
       "                      Per Student Budget  Average Math Score  \\\n",
       "Rodriguez High School            $637.00           76.842711   \n",
       "Figueroa High School             $639.00           76.711767   \n",
       "Huang High School                $655.00           76.629414   \n",
       "Hernandez High School            $652.00           77.289752   \n",
       "Johnson High School              $650.00           77.072464   \n",
       "Ford High School                 $644.00           77.102592   \n",
       "Bailey High School               $628.00           77.048432   \n",
       "Thomas High School               $638.00           83.350937   \n",
       "Holden High School               $581.00           83.803279   \n",
       "Shelton High School              $600.00           83.359455   \n",
       "\n",
       "                       Average Reading Score  % Passing Math  \\\n",
       "Rodriguez High School              80.744686       66.366592   \n",
       "Figueroa High School               81.158020       65.988471   \n",
       "Huang High School                  81.182722       65.683922   \n",
       "Hernandez High School              80.934412       66.752967   \n",
       "Johnson High School                80.966394       66.057551   \n",
       "Ford High School                   80.746258       68.309602   \n",
       "Bailey High School                 81.033963       66.680064   \n",
       "Thomas High School                 83.896082       66.911315   \n",
       "Holden High School                 83.814988       92.505855   \n",
       "Shelton High School                83.725724       93.867121   \n",
       "\n",
       "                       % Passing Reading  % Overall Passing  \n",
       "Rodriguez High School          80.220055          52.988247  \n",
       "Figueroa High School           80.739234          53.204476  \n",
       "Huang High School              81.316421          53.513884  \n",
       "Hernandez High School          80.862999          53.527508  \n",
       "Johnson High School            81.222432          53.539172  \n",
       "Ford High School               79.299014          54.289887  \n",
       "Bailey High School             81.933280          54.642283  \n",
       "Thomas High School             69.663609          65.076453  \n",
       "Holden High School             96.252927          89.227166  \n",
       "Shelton High School            95.854628          89.892107  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Sort and show top five schools.\n",
    "bottom_schools = per_school_summary_df.sort_values([\"% Overall Passing\"], ascending=True)\n",
    "bottom_schools.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    " # Create a Series of scores by grade levels using conditionals.\n",
    "ninth_graders = school_data_complete_df[(school_data_complete_df[\"grade\"] == \"9th\")]\n",
    "tenth_graders = school_data_complete_df[(school_data_complete_df[\"grade\"] == \"10th\")]\n",
    "eleventh_graders = school_data_complete_df[(school_data_complete_df[\"grade\"] == \"11th\")]\n",
    "twelfth_graders = school_data_complete_df[(school_data_complete_df[\"grade\"] == \"12th\")]\n",
    "\n",
    "# Group each school Series by the school name for the average math score.\n",
    "ninth_grade_math_scores = ninth_graders.groupby([\"school_name\"]).mean()[\"math_score\"]\n",
    "tenth_grade_math_scores = tenth_graders.groupby([\"school_name\"]).mean()[\"math_score\"]\n",
    "eleventh_grade_math_scores = eleventh_graders.groupby([\"school_name\"]).mean()[\"math_score\"]\n",
    "twelfth_grade_math_scores = twelfth_graders.groupby([\"school_name\"]).mean()[\"math_score\"]\n",
    "\n",
    "# Group each school Series by the school name for the average reading score.\n",
    "ninth_grade_reading_scores = ninth_graders.groupby([\"school_name\"]).mean()[\"reading_score\"]\n",
    "tenth_grade_reading_scores = tenth_graders.groupby([\"school_name\"]).mean()[\"reading_score\"]\n",
    "eleventh_grade_reading_scores = eleventh_graders.groupby([\"school_name\"]).mean()[\"reading_score\"]\n",
    "twelfth_grade_reading_scores = twelfth_graders.groupby([\"school_name\"]).mean()[\"reading_score\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>9th</th>\n",
       "      <th>10th</th>\n",
       "      <th>11th</th>\n",
       "      <th>12th</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>school_name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Bailey High School</th>\n",
       "      <td>77.083676</td>\n",
       "      <td>76.996772</td>\n",
       "      <td>77.515588</td>\n",
       "      <td>76.492218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cabrera High School</th>\n",
       "      <td>83.094697</td>\n",
       "      <td>83.154506</td>\n",
       "      <td>82.765560</td>\n",
       "      <td>83.277487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Figueroa High School</th>\n",
       "      <td>76.403037</td>\n",
       "      <td>76.539974</td>\n",
       "      <td>76.884344</td>\n",
       "      <td>77.151369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ford High School</th>\n",
       "      <td>77.361345</td>\n",
       "      <td>77.672316</td>\n",
       "      <td>76.918058</td>\n",
       "      <td>76.179963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Griffin High School</th>\n",
       "      <td>82.044010</td>\n",
       "      <td>84.229064</td>\n",
       "      <td>83.842105</td>\n",
       "      <td>83.356164</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            9th       10th       11th       12th\n",
       "school_name                                                     \n",
       "Bailey High School    77.083676  76.996772  77.515588  76.492218\n",
       "Cabrera High School   83.094697  83.154506  82.765560  83.277487\n",
       "Figueroa High School  76.403037  76.539974  76.884344  77.151369\n",
       "Ford High School      77.361345  77.672316  76.918058  76.179963\n",
       "Griffin High School   82.044010  84.229064  83.842105  83.356164"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Combine each Series for average math scores by school into single data frame.\n",
    "math_scores_by_grade = pd.DataFrame({\n",
    "               \"9th\": ninth_grade_math_scores, \n",
    "               \"10th\": tenth_grade_math_scores,\n",
    "               \"11th\": eleventh_grade_math_scores, \n",
    "               \"12th\": twelfth_grade_math_scores})\n",
    "\n",
    "math_scores_by_grade.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>9th</th>\n",
       "      <th>10th</th>\n",
       "      <th>11th</th>\n",
       "      <th>12th</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>school_name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Bailey High School</th>\n",
       "      <td>81.303155</td>\n",
       "      <td>80.907183</td>\n",
       "      <td>80.945643</td>\n",
       "      <td>80.912451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cabrera High School</th>\n",
       "      <td>83.676136</td>\n",
       "      <td>84.253219</td>\n",
       "      <td>83.788382</td>\n",
       "      <td>84.287958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Figueroa High School</th>\n",
       "      <td>81.198598</td>\n",
       "      <td>81.408912</td>\n",
       "      <td>80.640339</td>\n",
       "      <td>81.384863</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ford High School</th>\n",
       "      <td>80.632653</td>\n",
       "      <td>81.262712</td>\n",
       "      <td>80.403642</td>\n",
       "      <td>80.662338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Griffin High School</th>\n",
       "      <td>83.369193</td>\n",
       "      <td>83.706897</td>\n",
       "      <td>84.288089</td>\n",
       "      <td>84.013699</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            9th       10th       11th       12th\n",
       "school_name                                                     \n",
       "Bailey High School    81.303155  80.907183  80.945643  80.912451\n",
       "Cabrera High School   83.676136  84.253219  83.788382  84.287958\n",
       "Figueroa High School  81.198598  81.408912  80.640339  81.384863\n",
       "Ford High School      80.632653  81.262712  80.403642  80.662338\n",
       "Griffin High School   83.369193  83.706897  84.288089  84.013699"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Combine each Series for average reading scores by school into single data frame.\n",
    "reading_scores_by_grade = pd.DataFrame({\n",
    "              \"9th\": ninth_grade_reading_scores, \n",
    "              \"10th\": tenth_grade_reading_scores,\n",
    "              \"11th\": eleventh_grade_reading_scores,             \n",
    "              \"12th\": twelfth_grade_reading_scores})\n",
    "\n",
    "reading_scores_by_grade.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    " # Format each grade column.\n",
    "math_scores_by_grade[\"9th\"] = math_scores_by_grade[\"9th\"].map(\"{:.1f}\".format)\n",
    "math_scores_by_grade[\"10th\"] = math_scores_by_grade[\"10th\"].map(\"{:.1f}\".format)\n",
    "math_scores_by_grade[\"11th\"] = math_scores_by_grade[\"11th\"].map(\"{:.1f}\".format)\n",
    "math_scores_by_grade[\"12th\"] = math_scores_by_grade[\"12th\"].map(\"{:.1f}\".format)\n",
    "\n",
    "# Format each grade column.\n",
    "reading_scores_by_grade[\"9th\"] = reading_scores_by_grade[\"9th\"].map(\"{:,.1f}\".format)\n",
    "reading_scores_by_grade[\"10th\"] = reading_scores_by_grade[\"10th\"].map(\"{:,.1f}\".format)\n",
    "reading_scores_by_grade[\"11th\"] = reading_scores_by_grade[\"11th\"].map(\"{:,.1f}\".format)\n",
    "reading_scores_by_grade[\"12th\"] = reading_scores_by_grade[\"12th\"].map(\"{:,.1f}\".format)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "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",
       "\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>9th</th>\n",
       "      <th>10th</th>\n",
       "      <th>11th</th>\n",
       "      <th>12th</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Bailey High School</th>\n",
       "      <td>77.1</td>\n",
       "      <td>77.0</td>\n",
       "      <td>77.5</td>\n",
       "      <td>76.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cabrera High School</th>\n",
       "      <td>83.1</td>\n",
       "      <td>83.2</td>\n",
       "      <td>82.8</td>\n",
       "      <td>83.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Figueroa High School</th>\n",
       "      <td>76.4</td>\n",
       "      <td>76.5</td>\n",
       "      <td>76.9</td>\n",
       "      <td>77.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ford High School</th>\n",
       "      <td>77.4</td>\n",
       "      <td>77.7</td>\n",
       "      <td>76.9</td>\n",
       "      <td>76.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Griffin High School</th>\n",
       "      <td>82.0</td>\n",
       "      <td>84.2</td>\n",
       "      <td>83.8</td>\n",
       "      <td>83.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hernandez High School</th>\n",
       "      <td>77.4</td>\n",
       "      <td>77.3</td>\n",
       "      <td>77.1</td>\n",
       "      <td>77.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Holden High School</th>\n",
       "      <td>83.8</td>\n",
       "      <td>83.4</td>\n",
       "      <td>85.0</td>\n",
       "      <td>82.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Huang High School</th>\n",
       "      <td>77.0</td>\n",
       "      <td>75.9</td>\n",
       "      <td>76.4</td>\n",
       "      <td>77.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Johnson High School</th>\n",
       "      <td>77.2</td>\n",
       "      <td>76.7</td>\n",
       "      <td>77.5</td>\n",
       "      <td>76.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pena High School</th>\n",
       "      <td>83.6</td>\n",
       "      <td>83.4</td>\n",
       "      <td>84.3</td>\n",
       "      <td>84.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rodriguez High School</th>\n",
       "      <td>76.9</td>\n",
       "      <td>76.6</td>\n",
       "      <td>76.4</td>\n",
       "      <td>77.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shelton High School</th>\n",
       "      <td>83.4</td>\n",
       "      <td>82.9</td>\n",
       "      <td>83.4</td>\n",
       "      <td>83.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thomas High School</th>\n",
       "      <td>nan</td>\n",
       "      <td>83.1</td>\n",
       "      <td>83.5</td>\n",
       "      <td>83.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wilson High School</th>\n",
       "      <td>83.1</td>\n",
       "      <td>83.7</td>\n",
       "      <td>83.2</td>\n",
       "      <td>83.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wright High School</th>\n",
       "      <td>83.3</td>\n",
       "      <td>84.0</td>\n",
       "      <td>83.8</td>\n",
       "      <td>83.6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        9th  10th  11th  12th\n",
       "Bailey High School     77.1  77.0  77.5  76.5\n",
       "Cabrera High School    83.1  83.2  82.8  83.3\n",
       "Figueroa High School   76.4  76.5  76.9  77.2\n",
       "Ford High School       77.4  77.7  76.9  76.2\n",
       "Griffin High School    82.0  84.2  83.8  83.4\n",
       "Hernandez High School  77.4  77.3  77.1  77.2\n",
       "Holden High School     83.8  83.4  85.0  82.9\n",
       "Huang High School      77.0  75.9  76.4  77.2\n",
       "Johnson High School    77.2  76.7  77.5  76.9\n",
       "Pena High School       83.6  83.4  84.3  84.1\n",
       "Rodriguez High School  76.9  76.6  76.4  77.7\n",
       "Shelton High School    83.4  82.9  83.4  83.8\n",
       "Thomas High School      nan  83.1  83.5  83.5\n",
       "Wilson High School     83.1  83.7  83.2  83.0\n",
       "Wright High School     83.3  84.0  83.8  83.6"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Remove the index.\n",
    "math_scores_by_grade = math_scores_by_grade[\n",
    "               [\"9th\", \"10th\", \"11th\", \"12th\"]]\n",
    "\n",
    "math_scores_by_grade.index.name = None\n",
    "\n",
    "\n",
    "# Display the data frame\n",
    "math_scores_by_grade"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\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>9th</th>\n",
       "      <th>10th</th>\n",
       "      <th>11th</th>\n",
       "      <th>12th</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Bailey High School</th>\n",
       "      <td>81.3</td>\n",
       "      <td>80.9</td>\n",
       "      <td>80.9</td>\n",
       "      <td>80.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cabrera High School</th>\n",
       "      <td>83.7</td>\n",
       "      <td>84.3</td>\n",
       "      <td>83.8</td>\n",
       "      <td>84.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Figueroa High School</th>\n",
       "      <td>81.2</td>\n",
       "      <td>81.4</td>\n",
       "      <td>80.6</td>\n",
       "      <td>81.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ford High School</th>\n",
       "      <td>80.6</td>\n",
       "      <td>81.3</td>\n",
       "      <td>80.4</td>\n",
       "      <td>80.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Griffin High School</th>\n",
       "      <td>83.4</td>\n",
       "      <td>83.7</td>\n",
       "      <td>84.3</td>\n",
       "      <td>84.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hernandez High School</th>\n",
       "      <td>80.9</td>\n",
       "      <td>80.7</td>\n",
       "      <td>81.4</td>\n",
       "      <td>80.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Holden High School</th>\n",
       "      <td>83.7</td>\n",
       "      <td>83.3</td>\n",
       "      <td>83.8</td>\n",
       "      <td>84.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Huang High School</th>\n",
       "      <td>81.3</td>\n",
       "      <td>81.5</td>\n",
       "      <td>81.4</td>\n",
       "      <td>80.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Johnson High School</th>\n",
       "      <td>81.3</td>\n",
       "      <td>80.8</td>\n",
       "      <td>80.6</td>\n",
       "      <td>81.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pena High School</th>\n",
       "      <td>83.8</td>\n",
       "      <td>83.6</td>\n",
       "      <td>84.3</td>\n",
       "      <td>84.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rodriguez High School</th>\n",
       "      <td>81.0</td>\n",
       "      <td>80.6</td>\n",
       "      <td>80.9</td>\n",
       "      <td>80.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shelton High School</th>\n",
       "      <td>84.1</td>\n",
       "      <td>83.4</td>\n",
       "      <td>84.4</td>\n",
       "      <td>82.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thomas High School</th>\n",
       "      <td>nan</td>\n",
       "      <td>84.3</td>\n",
       "      <td>83.6</td>\n",
       "      <td>83.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wilson High School</th>\n",
       "      <td>83.9</td>\n",
       "      <td>84.0</td>\n",
       "      <td>83.8</td>\n",
       "      <td>84.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wright High School</th>\n",
       "      <td>83.8</td>\n",
       "      <td>83.8</td>\n",
       "      <td>84.2</td>\n",
       "      <td>84.1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        9th  10th  11th  12th\n",
       "Bailey High School     81.3  80.9  80.9  80.9\n",
       "Cabrera High School    83.7  84.3  83.8  84.3\n",
       "Figueroa High School   81.2  81.4  80.6  81.4\n",
       "Ford High School       80.6  81.3  80.4  80.7\n",
       "Griffin High School    83.4  83.7  84.3  84.0\n",
       "Hernandez High School  80.9  80.7  81.4  80.9\n",
       "Holden High School     83.7  83.3  83.8  84.7\n",
       "Huang High School      81.3  81.5  81.4  80.3\n",
       "Johnson High School    81.3  80.8  80.6  81.2\n",
       "Pena High School       83.8  83.6  84.3  84.6\n",
       "Rodriguez High School  81.0  80.6  80.9  80.4\n",
       "Shelton High School    84.1  83.4  84.4  82.8\n",
       "Thomas High School      nan  84.3  83.6  83.8\n",
       "Wilson High School     83.9  84.0  83.8  84.3\n",
       "Wright High School     83.8  83.8  84.2  84.1"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Remove the index.\n",
    "reading_scores_by_grade = reading_scores_by_grade[\n",
    "               [\"9th\", \"10th\", \"11th\", \"12th\"]]\n",
    "\n",
    "reading_scores_by_grade.index.name = None\n",
    "\n",
    "# Display the data frame\n",
    "reading_scores_by_grade"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "        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>School Type</th>\n",
       "      <th>Total Students</th>\n",
       "      <th>Total School Budget</th>\n",
       "      <th>Per Student Budget</th>\n",
       "      <th>Average Math Score</th>\n",
       "      <th>Average Reading Score</th>\n",
       "      <th>% Passing Math</th>\n",
       "      <th>% Passing Reading</th>\n",
       "      <th>% Overall Passing</th>\n",
       "      <th>Spending Ranges (Per Student)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Bailey High School</th>\n",
       "      <td>District</td>\n",
       "      <td>4976</td>\n",
       "      <td>$3,124,928.00</td>\n",
       "      <td>$628.00</td>\n",
       "      <td>77.048432</td>\n",
       "      <td>81.033963</td>\n",
       "      <td>66.680064</td>\n",
       "      <td>81.933280</td>\n",
       "      <td>54.642283</td>\n",
       "      <td>$585-629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cabrera High School</th>\n",
       "      <td>Charter</td>\n",
       "      <td>1858</td>\n",
       "      <td>$1,081,356.00</td>\n",
       "      <td>$582.00</td>\n",
       "      <td>83.061895</td>\n",
       "      <td>83.975780</td>\n",
       "      <td>94.133477</td>\n",
       "      <td>97.039828</td>\n",
       "      <td>91.334769</td>\n",
       "      <td>&lt;$584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Figueroa High School</th>\n",
       "      <td>District</td>\n",
       "      <td>2949</td>\n",
       "      <td>$1,884,411.00</td>\n",
       "      <td>$639.00</td>\n",
       "      <td>76.711767</td>\n",
       "      <td>81.158020</td>\n",
       "      <td>65.988471</td>\n",
       "      <td>80.739234</td>\n",
       "      <td>53.204476</td>\n",
       "      <td>$630-644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ford High School</th>\n",
       "      <td>District</td>\n",
       "      <td>2739</td>\n",
       "      <td>$1,763,916.00</td>\n",
       "      <td>$644.00</td>\n",
       "      <td>77.102592</td>\n",
       "      <td>80.746258</td>\n",
       "      <td>68.309602</td>\n",
       "      <td>79.299014</td>\n",
       "      <td>54.289887</td>\n",
       "      <td>$630-644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Griffin High School</th>\n",
       "      <td>Charter</td>\n",
       "      <td>1468</td>\n",
       "      <td>$917,500.00</td>\n",
       "      <td>$625.00</td>\n",
       "      <td>83.351499</td>\n",
       "      <td>83.816757</td>\n",
       "      <td>93.392371</td>\n",
       "      <td>97.138965</td>\n",
       "      <td>90.599455</td>\n",
       "      <td>$585-629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hernandez High School</th>\n",
       "      <td>District</td>\n",
       "      <td>4635</td>\n",
       "      <td>$3,022,020.00</td>\n",
       "      <td>$652.00</td>\n",
       "      <td>77.289752</td>\n",
       "      <td>80.934412</td>\n",
       "      <td>66.752967</td>\n",
       "      <td>80.862999</td>\n",
       "      <td>53.527508</td>\n",
       "      <td>$645-675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Holden High School</th>\n",
       "      <td>Charter</td>\n",
       "      <td>427</td>\n",
       "      <td>$248,087.00</td>\n",
       "      <td>$581.00</td>\n",
       "      <td>83.803279</td>\n",
       "      <td>83.814988</td>\n",
       "      <td>92.505855</td>\n",
       "      <td>96.252927</td>\n",
       "      <td>89.227166</td>\n",
       "      <td>&lt;$584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Huang High School</th>\n",
       "      <td>District</td>\n",
       "      <td>2917</td>\n",
       "      <td>$1,910,635.00</td>\n",
       "      <td>$655.00</td>\n",
       "      <td>76.629414</td>\n",
       "      <td>81.182722</td>\n",
       "      <td>65.683922</td>\n",
       "      <td>81.316421</td>\n",
       "      <td>53.513884</td>\n",
       "      <td>$645-675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Johnson High School</th>\n",
       "      <td>District</td>\n",
       "      <td>4761</td>\n",
       "      <td>$3,094,650.00</td>\n",
       "      <td>$650.00</td>\n",
       "      <td>77.072464</td>\n",
       "      <td>80.966394</td>\n",
       "      <td>66.057551</td>\n",
       "      <td>81.222432</td>\n",
       "      <td>53.539172</td>\n",
       "      <td>$645-675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pena High School</th>\n",
       "      <td>Charter</td>\n",
       "      <td>962</td>\n",
       "      <td>$585,858.00</td>\n",
       "      <td>$609.00</td>\n",
       "      <td>83.839917</td>\n",
       "      <td>84.044699</td>\n",
       "      <td>94.594595</td>\n",
       "      <td>95.945946</td>\n",
       "      <td>90.540541</td>\n",
       "      <td>$585-629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rodriguez High School</th>\n",
       "      <td>District</td>\n",
       "      <td>3999</td>\n",
       "      <td>$2,547,363.00</td>\n",
       "      <td>$637.00</td>\n",
       "      <td>76.842711</td>\n",
       "      <td>80.744686</td>\n",
       "      <td>66.366592</td>\n",
       "      <td>80.220055</td>\n",
       "      <td>52.988247</td>\n",
       "      <td>$630-644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shelton High School</th>\n",
       "      <td>Charter</td>\n",
       "      <td>1761</td>\n",
       "      <td>$1,056,600.00</td>\n",
       "      <td>$600.00</td>\n",
       "      <td>83.359455</td>\n",
       "      <td>83.725724</td>\n",
       "      <td>93.867121</td>\n",
       "      <td>95.854628</td>\n",
       "      <td>89.892107</td>\n",
       "      <td>$585-629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thomas High School</th>\n",
       "      <td>Charter</td>\n",
       "      <td>1635</td>\n",
       "      <td>$1,043,130.00</td>\n",
       "      <td>$638.00</td>\n",
       "      <td>83.350937</td>\n",
       "      <td>83.896082</td>\n",
       "      <td>66.911315</td>\n",
       "      <td>69.663609</td>\n",
       "      <td>65.076453</td>\n",
       "      <td>$630-644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wilson High School</th>\n",
       "      <td>Charter</td>\n",
       "      <td>2283</td>\n",
       "      <td>$1,319,574.00</td>\n",
       "      <td>$578.00</td>\n",
       "      <td>83.274201</td>\n",
       "      <td>83.989488</td>\n",
       "      <td>93.867718</td>\n",
       "      <td>96.539641</td>\n",
       "      <td>90.582567</td>\n",
       "      <td>&lt;$584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wright High School</th>\n",
       "      <td>Charter</td>\n",
       "      <td>1800</td>\n",
       "      <td>$1,049,400.00</td>\n",
       "      <td>$583.00</td>\n",
       "      <td>83.682222</td>\n",
       "      <td>83.955000</td>\n",
       "      <td>93.333333</td>\n",
       "      <td>96.611111</td>\n",
       "      <td>90.333333</td>\n",
       "      <td>&lt;$584</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      School Type  Total Students Total School Budget  \\\n",
       "Bailey High School       District            4976       $3,124,928.00   \n",
       "Cabrera High School       Charter            1858       $1,081,356.00   \n",
       "Figueroa High School     District            2949       $1,884,411.00   \n",
       "Ford High School         District            2739       $1,763,916.00   \n",
       "Griffin High School       Charter            1468         $917,500.00   \n",
       "Hernandez High School    District            4635       $3,022,020.00   \n",
       "Holden High School        Charter             427         $248,087.00   \n",
       "Huang High School        District            2917       $1,910,635.00   \n",
       "Johnson High School      District            4761       $3,094,650.00   \n",
       "Pena High School          Charter             962         $585,858.00   \n",
       "Rodriguez High School    District            3999       $2,547,363.00   \n",
       "Shelton High School       Charter            1761       $1,056,600.00   \n",
       "Thomas High School        Charter            1635       $1,043,130.00   \n",
       "Wilson High School        Charter            2283       $1,319,574.00   \n",
       "Wright High School        Charter            1800       $1,049,400.00   \n",
       "\n",
       "                      Per Student Budget  Average Math Score  \\\n",
       "Bailey High School               $628.00           77.048432   \n",
       "Cabrera High School              $582.00           83.061895   \n",
       "Figueroa High School             $639.00           76.711767   \n",
       "Ford High School                 $644.00           77.102592   \n",
       "Griffin High School              $625.00           83.351499   \n",
       "Hernandez High School            $652.00           77.289752   \n",
       "Holden High School               $581.00           83.803279   \n",
       "Huang High School                $655.00           76.629414   \n",
       "Johnson High School              $650.00           77.072464   \n",
       "Pena High School                 $609.00           83.839917   \n",
       "Rodriguez High School            $637.00           76.842711   \n",
       "Shelton High School              $600.00           83.359455   \n",
       "Thomas High School               $638.00           83.350937   \n",
       "Wilson High School               $578.00           83.274201   \n",
       "Wright High School               $583.00           83.682222   \n",
       "\n",
       "                       Average Reading Score  % Passing Math  \\\n",
       "Bailey High School                 81.033963       66.680064   \n",
       "Cabrera High School                83.975780       94.133477   \n",
       "Figueroa High School               81.158020       65.988471   \n",
       "Ford High School                   80.746258       68.309602   \n",
       "Griffin High School                83.816757       93.392371   \n",
       "Hernandez High School              80.934412       66.752967   \n",
       "Holden High School                 83.814988       92.505855   \n",
       "Huang High School                  81.182722       65.683922   \n",
       "Johnson High School                80.966394       66.057551   \n",
       "Pena High School                   84.044699       94.594595   \n",
       "Rodriguez High School              80.744686       66.366592   \n",
       "Shelton High School                83.725724       93.867121   \n",
       "Thomas High School                 83.896082       66.911315   \n",
       "Wilson High School                 83.989488       93.867718   \n",
       "Wright High School                 83.955000       93.333333   \n",
       "\n",
       "                       % Passing Reading  % Overall Passing  \\\n",
       "Bailey High School             81.933280          54.642283   \n",
       "Cabrera High School            97.039828          91.334769   \n",
       "Figueroa High School           80.739234          53.204476   \n",
       "Ford High School               79.299014          54.289887   \n",
       "Griffin High School            97.138965          90.599455   \n",
       "Hernandez High School          80.862999          53.527508   \n",
       "Holden High School             96.252927          89.227166   \n",
       "Huang High School              81.316421          53.513884   \n",
       "Johnson High School            81.222432          53.539172   \n",
       "Pena High School               95.945946          90.540541   \n",
       "Rodriguez High School          80.220055          52.988247   \n",
       "Shelton High School            95.854628          89.892107   \n",
       "Thomas High School             69.663609          65.076453   \n",
       "Wilson High School             96.539641          90.582567   \n",
       "Wright High School             96.611111          90.333333   \n",
       "\n",
       "                      Spending Ranges (Per Student)  \n",
       "Bailey High School                         $585-629  \n",
       "Cabrera High School                           <$584  \n",
       "Figueroa High School                       $630-644  \n",
       "Ford High School                           $630-644  \n",
       "Griffin High School                        $585-629  \n",
       "Hernandez High School                      $645-675  \n",
       "Holden High School                            <$584  \n",
       "Huang High School                          $645-675  \n",
       "Johnson High School                        $645-675  \n",
       "Pena High School                           $585-629  \n",
       "Rodriguez High School                      $630-644  \n",
       "Shelton High School                        $585-629  \n",
       "Thomas High School                         $630-644  \n",
       "Wilson High School                            <$584  \n",
       "Wright High School                            <$584  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Establish the spending bins and group names.\n",
    "spending_bins = [0, 585, 630, 645, 675]\n",
    "group_names = [\"<$584\", \"$585-629\", \"$630-644\", \"$645-675\"]\n",
    "\n",
    "# Categorize spending based on the bins.\n",
    "per_school_summary_df[\"Spending Ranges (Per Student)\"] = pd.cut(per_school_capita, spending_bins, labels=group_names)\n",
    "per_school_summary_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate averages for the desired columns. \n",
    "spending_math_scores = per_school_summary_df.groupby([\"Spending Ranges (Per Student)\"]).mean()[\"Average Math Score\"]\n",
    "spending_reading_scores = per_school_summary_df.groupby([\"Spending Ranges (Per Student)\"]).mean()[\"Average Reading Score\"]\n",
    "spending_passing_math = per_school_summary_df.groupby([\"Spending Ranges (Per Student)\"]).mean()[\"% Passing Math\"]\n",
    "spending_passing_reading = per_school_summary_df.groupby([\"Spending Ranges (Per Student)\"]).mean()[\"% Passing Reading\"]\n",
    "overall_passing_spending = per_school_summary_df.groupby([\"Spending Ranges (Per Student)\"]).mean()[\"% Overall Passing\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    .dataframe thead th {\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>Average Math Score</th>\n",
       "      <th>Average Reading Score</th>\n",
       "      <th>% Passing Math</th>\n",
       "      <th>% Passing Reading</th>\n",
       "      <th>% Overall Passing</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spending Ranges (Per Student)</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>&lt;$584</th>\n",
       "      <td>83.455399</td>\n",
       "      <td>83.933814</td>\n",
       "      <td>93.460096</td>\n",
       "      <td>96.610877</td>\n",
       "      <td>90.369459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>$585-629</th>\n",
       "      <td>81.899826</td>\n",
       "      <td>83.155286</td>\n",
       "      <td>87.133538</td>\n",
       "      <td>92.718205</td>\n",
       "      <td>81.418596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>$630-644</th>\n",
       "      <td>78.502002</td>\n",
       "      <td>81.636261</td>\n",
       "      <td>66.893995</td>\n",
       "      <td>77.480478</td>\n",
       "      <td>56.389766</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>$645-675</th>\n",
       "      <td>76.997210</td>\n",
       "      <td>81.027843</td>\n",
       "      <td>66.164813</td>\n",
       "      <td>81.133951</td>\n",
       "      <td>53.526855</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               Average Math Score  Average Reading Score  \\\n",
       "Spending Ranges (Per Student)                                              \n",
       "<$584                                   83.455399              83.933814   \n",
       "$585-629                                81.899826              83.155286   \n",
       "$630-644                                78.502002              81.636261   \n",
       "$645-675                                76.997210              81.027843   \n",
       "\n",
       "                               % Passing Math  % Passing Reading  \\\n",
       "Spending Ranges (Per Student)                                      \n",
       "<$584                               93.460096          96.610877   \n",
       "$585-629                            87.133538          92.718205   \n",
       "$630-644                            66.893995          77.480478   \n",
       "$645-675                            66.164813          81.133951   \n",
       "\n",
       "                               % Overall Passing  \n",
       "Spending Ranges (Per Student)                     \n",
       "<$584                                  90.369459  \n",
       "$585-629                               81.418596  \n",
       "$630-644                               56.389766  \n",
       "$645-675                               53.526855  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Create the DataFrame.\n",
    "spending_summary_df = pd.DataFrame({\n",
    "          \"Average Math Score\" : spending_math_scores,\n",
    "          \"Average Reading Score\": spending_reading_scores,\n",
    "          \"% Passing Math\": spending_passing_math,\n",
    "          \"% Passing Reading\": spending_passing_reading,\n",
    "          \"% Overall Passing\": overall_passing_spending})\n",
    "\n",
    "spending_summary_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Average Math Score</th>\n",
       "      <th>Average Reading Score</th>\n",
       "      <th>% Passing Math</th>\n",
       "      <th>% Passing Reading</th>\n",
       "      <th>% Overall Passing</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spending Ranges (Per Student)</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>&lt;$584</th>\n",
       "      <td>83.5</td>\n",
       "      <td>83.9</td>\n",
       "      <td>93</td>\n",
       "      <td>97</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>$585-629</th>\n",
       "      <td>81.9</td>\n",
       "      <td>83.2</td>\n",
       "      <td>87</td>\n",
       "      <td>93</td>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>$630-644</th>\n",
       "      <td>78.5</td>\n",
       "      <td>81.6</td>\n",
       "      <td>67</td>\n",
       "      <td>77</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>$645-675</th>\n",
       "      <td>77.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>66</td>\n",
       "      <td>81</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              Average Math Score Average Reading Score  \\\n",
       "Spending Ranges (Per Student)                                            \n",
       "<$584                                       83.5                  83.9   \n",
       "$585-629                                    81.9                  83.2   \n",
       "$630-644                                    78.5                  81.6   \n",
       "$645-675                                    77.0                  81.0   \n",
       "\n",
       "                              % Passing Math % Passing Reading  \\\n",
       "Spending Ranges (Per Student)                                    \n",
       "<$584                                     93                97   \n",
       "$585-629                                  87                93   \n",
       "$630-644                                  67                77   \n",
       "$645-675                                  66                81   \n",
       "\n",
       "                              % Overall Passing  \n",
       "Spending Ranges (Per Student)                    \n",
       "<$584                                        90  \n",
       "$585-629                                     81  \n",
       "$630-644                                     56  \n",
       "$645-675                                     54  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Format the DataFrame. \n",
    "spending_summary_df[\"Average Math Score\"] = spending_summary_df[\"Average Math Score\"].map(\"{:.1f}\".format)\n",
    "spending_summary_df[\"Average Reading Score\"] = spending_summary_df[\"Average Reading Score\"].map(\"{:.1f}\".format)\n",
    "spending_summary_df[\"% Passing Math\"] = spending_summary_df[\"% Passing Math\"].map(\"{:.0f}\".format)\n",
    "spending_summary_df[\"% Passing Reading\"] = spending_summary_df[\"% Passing Reading\"].map(\"{:.0f}\".format)\n",
    "spending_summary_df[\"% Overall Passing\"] = spending_summary_df[\"% Overall Passing\"].map(\"{:.0f}\".format)\n",
    "\n",
    "spending_summary_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>School Type</th>\n",
       "      <th>Total Students</th>\n",
       "      <th>Total School Budget</th>\n",
       "      <th>Per Student Budget</th>\n",
       "      <th>Average Math Score</th>\n",
       "      <th>Average Reading Score</th>\n",
       "      <th>% Passing Math</th>\n",
       "      <th>% Passing Reading</th>\n",
       "      <th>% Overall Passing</th>\n",
       "      <th>Spending Ranges (Per Student)</th>\n",
       "      <th>School Size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Bailey High School</th>\n",
       "      <td>District</td>\n",
       "      <td>4976</td>\n",
       "      <td>$3,124,928.00</td>\n",
       "      <td>$628.00</td>\n",
       "      <td>77.048432</td>\n",
       "      <td>81.033963</td>\n",
       "      <td>66.680064</td>\n",
       "      <td>81.933280</td>\n",
       "      <td>54.642283</td>\n",
       "      <td>$585-629</td>\n",
       "      <td>Large (2000-5000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cabrera High School</th>\n",
       "      <td>Charter</td>\n",
       "      <td>1858</td>\n",
       "      <td>$1,081,356.00</td>\n",
       "      <td>$582.00</td>\n",
       "      <td>83.061895</td>\n",
       "      <td>83.975780</td>\n",
       "      <td>94.133477</td>\n",
       "      <td>97.039828</td>\n",
       "      <td>91.334769</td>\n",
       "      <td>&lt;$584</td>\n",
       "      <td>Medium (1000-2000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Figueroa High School</th>\n",
       "      <td>District</td>\n",
       "      <td>2949</td>\n",
       "      <td>$1,884,411.00</td>\n",
       "      <td>$639.00</td>\n",
       "      <td>76.711767</td>\n",
       "      <td>81.158020</td>\n",
       "      <td>65.988471</td>\n",
       "      <td>80.739234</td>\n",
       "      <td>53.204476</td>\n",
       "      <td>$630-644</td>\n",
       "      <td>Large (2000-5000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ford High School</th>\n",
       "      <td>District</td>\n",
       "      <td>2739</td>\n",
       "      <td>$1,763,916.00</td>\n",
       "      <td>$644.00</td>\n",
       "      <td>77.102592</td>\n",
       "      <td>80.746258</td>\n",
       "      <td>68.309602</td>\n",
       "      <td>79.299014</td>\n",
       "      <td>54.289887</td>\n",
       "      <td>$630-644</td>\n",
       "      <td>Large (2000-5000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Griffin High School</th>\n",
       "      <td>Charter</td>\n",
       "      <td>1468</td>\n",
       "      <td>$917,500.00</td>\n",
       "      <td>$625.00</td>\n",
       "      <td>83.351499</td>\n",
       "      <td>83.816757</td>\n",
       "      <td>93.392371</td>\n",
       "      <td>97.138965</td>\n",
       "      <td>90.599455</td>\n",
       "      <td>$585-629</td>\n",
       "      <td>Medium (1000-2000)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     School Type  Total Students Total School Budget  \\\n",
       "Bailey High School      District            4976       $3,124,928.00   \n",
       "Cabrera High School      Charter            1858       $1,081,356.00   \n",
       "Figueroa High School    District            2949       $1,884,411.00   \n",
       "Ford High School        District            2739       $1,763,916.00   \n",
       "Griffin High School      Charter            1468         $917,500.00   \n",
       "\n",
       "                     Per Student Budget  Average Math Score  \\\n",
       "Bailey High School              $628.00           77.048432   \n",
       "Cabrera High School             $582.00           83.061895   \n",
       "Figueroa High School            $639.00           76.711767   \n",
       "Ford High School                $644.00           77.102592   \n",
       "Griffin High School             $625.00           83.351499   \n",
       "\n",
       "                      Average Reading Score  % Passing Math  \\\n",
       "Bailey High School                81.033963       66.680064   \n",
       "Cabrera High School               83.975780       94.133477   \n",
       "Figueroa High School              81.158020       65.988471   \n",
       "Ford High School                  80.746258       68.309602   \n",
       "Griffin High School               83.816757       93.392371   \n",
       "\n",
       "                      % Passing Reading  % Overall Passing  \\\n",
       "Bailey High School            81.933280          54.642283   \n",
       "Cabrera High School           97.039828          91.334769   \n",
       "Figueroa High School          80.739234          53.204476   \n",
       "Ford High School              79.299014          54.289887   \n",
       "Griffin High School           97.138965          90.599455   \n",
       "\n",
       "                     Spending Ranges (Per Student)         School Size  \n",
       "Bailey High School                        $585-629   Large (2000-5000)  \n",
       "Cabrera High School                          <$584  Medium (1000-2000)  \n",
       "Figueroa High School                      $630-644   Large (2000-5000)  \n",
       "Ford High School                          $630-644   Large (2000-5000)  \n",
       "Griffin High School                       $585-629  Medium (1000-2000)  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Establish the bins.\n",
    "size_bins = [0, 1000, 2000, 5000]\n",
    "group_names = [\"Small (<1000)\", \"Medium (1000-2000)\", \"Large (2000-5000)\"]\n",
    "\n",
    "# Categorize spending based on the bins.\n",
    "per_school_summary_df[\"School Size\"] = pd.cut(per_school_summary_df[\"Total Students\"], size_bins, labels=group_names)\n",
    "\n",
    "per_school_summary_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate averages for the desired columns. \n",
    "size_math_scores = per_school_summary_df.groupby([\"School Size\"]).mean()[\"Average Math Score\"]\n",
    "size_reading_scores = per_school_summary_df.groupby([\"School Size\"]).mean()[\"Average Reading Score\"]\n",
    "size_passing_math = per_school_summary_df.groupby([\"School Size\"]).mean()[\"% Passing Math\"]\n",
    "size_passing_reading = per_school_summary_df.groupby([\"School Size\"]).mean()[\"% Passing Reading\"]\n",
    "size_overall_passing = per_school_summary_df.groupby([\"School Size\"]).mean()[\"% Overall Passing\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Average Math Score</th>\n",
       "      <th>Average Reading Score</th>\n",
       "      <th>% Passing Math</th>\n",
       "      <th>% Passing Reading</th>\n",
       "      <th>% Overall Passing</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>School Size</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Small (&lt;1000)</th>\n",
       "      <td>83.821598</td>\n",
       "      <td>83.929843</td>\n",
       "      <td>93.550225</td>\n",
       "      <td>96.099437</td>\n",
       "      <td>89.883853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Medium (1000-2000)</th>\n",
       "      <td>83.361201</td>\n",
       "      <td>83.873869</td>\n",
       "      <td>88.327523</td>\n",
       "      <td>91.261628</td>\n",
       "      <td>85.447223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Large (2000-5000)</th>\n",
       "      <td>77.746417</td>\n",
       "      <td>81.344493</td>\n",
       "      <td>69.963361</td>\n",
       "      <td>82.766634</td>\n",
       "      <td>58.286003</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Average Math Score  Average Reading Score  % Passing Math  \\\n",
       "School Size                                                                     \n",
       "Small (<1000)                83.821598              83.929843       93.550225   \n",
       "Medium (1000-2000)           83.361201              83.873869       88.327523   \n",
       "Large (2000-5000)            77.746417              81.344493       69.963361   \n",
       "\n",
       "                    % Passing Reading  % Overall Passing  \n",
       "School Size                                               \n",
       "Small (<1000)               96.099437          89.883853  \n",
       "Medium (1000-2000)          91.261628          85.447223  \n",
       "Large (2000-5000)           82.766634          58.286003  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Assemble into DataFrame. \n",
    "size_summary_df = pd.DataFrame({\n",
    "          \"Average Math Score\" : size_math_scores,\n",
    "          \"Average Reading Score\": size_reading_scores,\n",
    "          \"% Passing Math\": size_passing_math,\n",
    "          \"% Passing Reading\": size_passing_reading,\n",
    "          \"% Overall Passing\": size_overall_passing})\n",
    "\n",
    "size_summary_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Average Math Score</th>\n",
       "      <th>Average Reading Score</th>\n",
       "      <th>% Passing Math</th>\n",
       "      <th>% Passing Reading</th>\n",
       "      <th>% Overall Passing</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>School Size</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Small (&lt;1000)</th>\n",
       "      <td>83.8</td>\n",
       "      <td>83.9</td>\n",
       "      <td>94</td>\n",
       "      <td>96</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Medium (1000-2000)</th>\n",
       "      <td>83.4</td>\n",
       "      <td>83.9</td>\n",
       "      <td>88</td>\n",
       "      <td>91</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Large (2000-5000)</th>\n",
       "      <td>77.7</td>\n",
       "      <td>81.3</td>\n",
       "      <td>70</td>\n",
       "      <td>83</td>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Average Math Score Average Reading Score % Passing Math  \\\n",
       "School Size                                                                  \n",
       "Small (<1000)                    83.8                  83.9             94   \n",
       "Medium (1000-2000)               83.4                  83.9             88   \n",
       "Large (2000-5000)                77.7                  81.3             70   \n",
       "\n",
       "                   % Passing Reading % Overall Passing  \n",
       "School Size                                             \n",
       "Small (<1000)                     96                90  \n",
       "Medium (1000-2000)                91                85  \n",
       "Large (2000-5000)                 83                58  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Format the DataFrame. \n",
    "size_summary_df[\"Average Math Score\"] = size_summary_df[\"Average Math Score\"].map(\"{:.1f}\".format)\n",
    "size_summary_df[\"Average Reading Score\"] = size_summary_df[\"Average Reading Score\"].map(\"{:.1f}\".format)\n",
    "size_summary_df[\"% Passing Math\"] = size_summary_df[\"% Passing Math\"].map(\"{:.0f}\".format)\n",
    "size_summary_df[\"% Passing Reading\"] = size_summary_df[\"% Passing Reading\"].map(\"{:.0f}\".format)\n",
    "size_summary_df[\"% Overall Passing\"] = size_summary_df[\"% Overall Passing\"].map(\"{:.0f}\".format)\n",
    "\n",
    "size_summary_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate averages for the desired columns. \n",
    "type_math_scores = per_school_summary_df.groupby([\"School Type\"]).mean()[\"Average Math Score\"]\n",
    "type_reading_scores = per_school_summary_df.groupby([\"School Type\"]).mean()[\"Average Reading Score\"]\n",
    "type_passing_math = per_school_summary_df.groupby([\"School Type\"]).mean()[\"% Passing Math\"]\n",
    "type_passing_reading = per_school_summary_df.groupby([\"School Type\"]).mean()[\"% Passing Reading\"]\n",
    "type_overall_passing = per_school_summary_df.groupby([\"School Type\"]).mean()[\"% Overall Passing\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Average Math Score</th>\n",
       "      <th>Average Reading Score</th>\n",
       "      <th>% Passing Math</th>\n",
       "      <th>% Passing Reading</th>\n",
       "      <th>% Overall Passing</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>School Type</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Charter</th>\n",
       "      <td>83.465425</td>\n",
       "      <td>83.902315</td>\n",
       "      <td>90.325723</td>\n",
       "      <td>93.130832</td>\n",
       "      <td>87.198299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>District</th>\n",
       "      <td>76.956733</td>\n",
       "      <td>80.966636</td>\n",
       "      <td>66.548453</td>\n",
       "      <td>80.799062</td>\n",
       "      <td>53.672208</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Average Math Score  Average Reading Score  % Passing Math  \\\n",
       "School Type                                                              \n",
       "Charter               83.465425              83.902315       90.325723   \n",
       "District              76.956733              80.966636       66.548453   \n",
       "\n",
       "             % Passing Reading  % Overall Passing  \n",
       "School Type                                        \n",
       "Charter              93.130832          87.198299  \n",
       "District             80.799062          53.672208  "
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Assemble the DataFrame. \n",
    "type_summary_df = pd.DataFrame({\n",
    "          \"Average Math Score\" : type_math_scores,\n",
    "          \"Average Reading Score\": type_reading_scores,\n",
    "          \"% Passing Math\": type_passing_math,\n",
    "          \"% Passing Reading\": type_passing_reading,\n",
    "          \"% Overall Passing\": type_overall_passing})\n",
    "\n",
    "type_summary_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Average Math Score</th>\n",
       "      <th>Average Reading Score</th>\n",
       "      <th>% Passing Math</th>\n",
       "      <th>% Passing Reading</th>\n",
       "      <th>% Overall Passing</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>School Type</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Charter</th>\n",
       "      <td>83.5</td>\n",
       "      <td>83.9</td>\n",
       "      <td>90</td>\n",
       "      <td>93</td>\n",
       "      <td>87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>District</th>\n",
       "      <td>77.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>67</td>\n",
       "      <td>81</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Average Math Score Average Reading Score % Passing Math  \\\n",
       "School Type                                                           \n",
       "Charter                   83.5                  83.9             90   \n",
       "District                  77.0                  81.0             67   \n",
       "\n",
       "            % Passing Reading % Overall Passing  \n",
       "School Type                                      \n",
       "Charter                    93                87  \n",
       "District                   81                54  "
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Format the DataFrame. \n",
    "type_summary_df[\"Average Math Score\"] = type_summary_df[\"Average Math Score\"].map(\"{:.1f}\".format)\n",
    "type_summary_df[\"Average Reading Score\"] = type_summary_df[\"Average Reading Score\"].map(\"{:.1f}\".format)\n",
    "type_summary_df[\"% Passing Math\"] = type_summary_df[\"% Passing Math\"].map(\"{:.0f}\".format)\n",
    "type_summary_df[\"% Passing Reading\"] = type_summary_df[\"% Passing Reading\"].map(\"{:.0f}\".format)\n",
    "type_summary_df[\"% Overall Passing\"] = type_summary_df[\"% Overall Passing\"].map(\"{:.0f}\".format)\n",
    "\n",
    "type_summary_df"
   ]
  }
 ],
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