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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...

Schools with the highest math score in the SAT exam

best_math_schools = schools[schools["average_math"] >= 640][["school_name", 
                        "average_math"]].sort_values("average_math", ascending = False)

best_math_schools.head()

Total score for each school across the 3 SAT sections

schools["total_SAT"] = schools["average_math"] + schools["average_reading"] + schools["average_writing"]

schools.head()

The Top 10 performing schools based on the scores across the three SAT sections

top_10_schools = schools.groupby("school_name", as_index=False)["total_SAT"].mean().sort_values("total_SAT", ascending=False).head(10)
print(top_10_schools)

Which NYC borough has the highest standard deviation for total_SAT? Firstly, calculate the standard deviation, average and count(number of schools) for each borough

borough = schools.groupby("borough")["total_SAT"].agg(["count", "mean", "std"]).round(2)
borough.head()
largest_std_dev = borough[borough["std"] == borough['std'].max()]
largest_std_dev = largest_std_dev.rename(columns={"count":"num_schools", "mean":"average_SAT", "std":"std_SAT"})
largest_std_dev.head()