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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...
# Inspect unique values of borough
schools['borough'].unique()

Which NYC schools have the best math results?

# Set minimum threshold math score
minimum_math_thres = 0.8 * 800
best_math_schools = schools[schools['average_math']>=minimum_math_thres][['school_name', 'average_math']].sort_values('average_math', ascending=False)
best_math_schools.shape[0]
best_math_schools

What are the top 10 performing schools based on the combined SAT scores?

schools['total_SAT'] = schools[['average_math', 'average_reading', 'average_writing']].sum(axis=1)
schools.head()
top_10_schools = schools[['school_name', 'total_SAT']].nlargest(10, 'total_SAT').sort_values('total_SAT', ascending=False)
top_10_schools

Which single borough has the largest standard deviation in the combined SAT score?

grouped_schools = schools.groupby('borough').agg(
    num_schools=pd.NamedAgg(column='school_name', aggfunc='count'),
    average_SAT=pd.NamedAgg(column='total_SAT', aggfunc='mean'),
    std_SAT=pd.NamedAgg(column='total_SAT', aggfunc='std')
).reset_index().round(decimals=2)
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