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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...
# Expploring the dataset
schools.info()

Which NYC schools have the best math results?

# Creating condition to filter those schools with at least 80% of the maximum possible
# score of 800 for math.
math_score_condition = schools['average_math'] >= (800 * 0.8)

# Best results by school and sorted by average score in desceding order 
best_math_schools = schools.loc[math_score_condition, ['school_name','average_math']]
best_math_schools = best_math_schools.sort_values(by='average_math', ascending=False)
best_math_schools

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

# Adding a new column named 'total_sat'
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)
top_10_schools = top_10_schools.head(10)
top_10_schools

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

# Chequing unique boroughs names
schools['borough'].unique()
boroughs_std = schools.groupby('borough').agg(
    total_SAT=('total_SAT', 'std'),
    num_schools=('building_code', 'count'),
    average_SAT=('total_SAT', 'mean'),
    std_SAT=('total_SAT', 'std')
)

largest_std_dev = boroughs_std[boroughs_std['std_SAT'] == boroughs_std['std_SAT'].max()].round(2)
print('Borough with largest std')
largest_std_dev