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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('average_math', ascending= False)

best_math_schools
# calculate total_SAT per school
schools['total_SAT'] = schools['average_math'] + schools['average_reading'] + schools['average_writing']

# Who are the top 10 performing schools?
top_10_schools = schools.sort_values(by= 'total_SAT',ascending=False)[['school_name', 'total_SAT']].head(10)
top_10_schools
borough_stddev = schools.groupby('borough').agg(
    std_SAT=('total_SAT', 'std'),
    average_SAT=('total_SAT', 'mean'),
    num_schools=('school_name', 'count')
).round(2)
largest_std_dev = borough_stddev[borough_stddev['std_SAT'] == borough_stddev['std_SAT'].max()]
largest_std_dev
800*.8
# Which NYC borough has the highest standard deviation for total_SAT?
boroughs = schools.groupby("borough")["total_SAT"].agg(["count", "mean", "std"]).round(2)
boroughs