Photo by Jannis Lucas on Unsplash.
Every year, American high school students take SATs, which are standardized tests intended to measure literacy, numeracy, and writing skills. There are three sections - reading, math, and writing, each with a maximum score of 800 points. These tests are extremely important for students and colleges, as they play a pivotal role in the admissions process.
Analyzing the performance of schools is important for a variety of stakeholders, including policy and education professionals, researchers, government, and even parents considering which school their children should attend.
You have been provided with a dataset called schools.csv, which is previewed below.
You have been tasked with answering three key questions about New York City (NYC) public school SAT performance.
# Re-run this cell
import pandas as pd
import numpy as np
# Read in the data
schools = pd.read_csv("schools.csv")
# Preview the data
schools.head()
# Start coding here...best_math_schools = schools[schools['average_math']>=640][['school_name','average_math']].sort_values('average_math', ascending=False)
best_math_schools.head()schools['total_SAT'] = schools['average_math'] + schools['average_reading'] + schools['average_writing']
top_10_schools = schools[['school_name','total_SAT']].sort_values('total_SAT', ascending=False).head(10)
#top_10_schools = schools.groupby('school_name')['total_SAT']
top_10_schoolsborough_stats = schools.groupby('borough')['total_SAT'].agg(['count','mean','std']).round(2)
borough_stats.columns = ['num_schools', 'average_SAT', 'std_SAT']
largest_std_dev = borough_stats.sort_values('std_SAT', ascending=False).head(1)
largest_std_dev
#borough_stats