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()
# Task 1
best_math_schools = schools.loc[schools["average_math"]>=640,["school_name","average_math"]].sort_values(by="average_math",ascending=False)
# Task 2
schools["total_SAT"]= schools[["average_math","average_reading","average_writing"]].sum(axis=1)
top_10_schools = schools.sort_values(by="total_SAT",ascending=False)[["school_name","total_SAT"]].head(10)
# Task 3
largest_std_dev =schools.groupby("borough")["total_SAT"].agg(num_schools ="count",average_SAT ="mean",std_SAT="std").round(2).sort_values(by="std_SAT", ascending=False).head(1)
# Print to see results
print(best_math_schools,"\n",top_10_schools, "\n", largest_std_dev)