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.
import pandas as pd
# Read in the data
schools = pd.read_csv("schools.csv")
# Adding a new column total_SAT to schools
schools["total_SAT"] = schools["average_math"] + schools["average_writing"] + schools["average_reading"]
print('/n', schools)
# Creating DataFrame best_math_schools
best_math_schools = schools[schools["average_math"] >= 640] # filters the data
best_math_schools = best_math_schools.sort_values("average_math", ascending=False)[["school_name", "average_math"]] # sorts the data by the average_math column in descending order
print('/n', best_math_schools)
# Creating DataFrame top_10_schools
top_10_schools = schools.sort_values(["average_math", "average_writing", "average_reading"], ascending=[False, False, False])
# Ordering the data by the total_SAT column in descending order
top_10_schools = top_10_schools[["school_name", "total_SAT"]].sort_values("total_SAT", ascending = False).head(10)
print('/n', top_10_schools)
# Locating the NYC borough with the largest standard deviation
borough_stats = schools.groupby("borough")["total_SAT"].agg(['count', 'mean', 'std']).round(2)
largest_std_dev_borough = borough_stats['std'].idxmax()
largest_std_dev = borough_stats.loc[largest_std_dev_borough].to_frame().T
largest_std_dev.index = [largest_std_dev_borough] # Set the index to the borough name
largest_std_dev.columns = ['num_schools', 'average_SAT', 'std_SAT']
print("\n", largest_std_dev)