Skip to content

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()

# Threshold for maths best score
Best_maths_score = 800 *0.8 

# filtering the schools with  the best maths score 
Best_schools_in_maths = schools[schools["average_math"] >= Best_maths_score]
print(Best_schools_in_maths)

#saving the result into pandas dataframe and sorting by average math
best_math_schools = Best_schools_in_maths[['school_name', 'average_math']].sort_values(by = 'average_math', ascending = False)
print(best_math_schools)


#Determing the top 10 performing schools based on the combine sat score
schools["total_SAT"] = schools['average_math'] + schools["average_reading"] + schools["average_writing"]

# sorting it by total SAT
top_10_schools = schools.sort_values('total_SAT', ascending = False).head(10)[["school_name", "total_SAT"]]
print(top_10_schools)


#Gething the borough stats and roundong the the results to 2 decimal place 
brorough_stats = schools.groupby("borough")['total_SAT'].agg(num_schools = "count", average_SAT = "mean", std_SAT = "std").round(2)

#Finding the borough with the largest standard deviation
largest_std_dev = brorough_stats.sort_values(by ='std_SAT', ascending = False).head(1).reset_index()

#printing the results 
print(largest_std_dev)