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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

# 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))
total_SAT=schools['average_math'] + schools['average_reading'] + schools['average_writing']
schools['total_SAT']=total_SAT
top_10_schools = schools[['school_name','total_SAT']].sort_values(by='total_SAT',ascending=False).head(10)
# Group by borough and calculate required statistics
borough_stats = (
    schools.groupby("borough")["total_SAT"]
    .agg(num_schools="count", average_SAT="mean", std_SAT="std")
    .reset_index()
)

# Round values to 2 decimals
borough_stats[["average_SAT", "std_SAT"]] = borough_stats[["average_SAT", "std_SAT"]].round(2)

# Select borough with largest std_SAT
largest_std_dev = (
    borough_stats.loc[borough_stats["std_SAT"].idxmax()]
    .to_frame().T
    .reset_index(drop=True)
)