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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
# Read in the data
schools = pd.read_csv("schools.csv")
# Preview the data
schools.head()
# Start coding here...
# Add as many cells as you like...best_math_schools = schools[schools['average_math'] >= 640][['school_name', 'average_math']].sort_values(by='average_math', ascending=False)
schools = pd.read_csv("schools.csv")schools['total_SAT'] = schools['average_math'] + schools['average_reading'] + schools['average_writing']
top_10_schools = schools[['school_name', 'total_SAT']].sort_values(by='total_SAT', ascending=False).head(10)
print(top_10_schools)
borough_stats = schools.groupby('borough').agg(
num_schools=('school_name', 'count'),
average_SAT=('total_SAT', 'mean'),
std_SAT=('total_SAT', 'std')
).reset_index()largest_std_dev = borough_stats[borough_stats['std_SAT'] == borough_stats['std_SAT'].max()]
largest_std_dev[['average_SAT', 'std_SAT']] = largest_std_dev[['average_SAT', 'std_SAT']].round(2)
print(largest_std_dev)
print("Best Math Schools:\n", best_math_schools)
print("\nTop 10 Schools by Total SAT:\n", top_10_schools)
print("\nBorough with Largest Standard Deviation:\n", largest_std_dev)