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()
best_results = (80/100)*800
best_math_schools = schools[schools['average_math'] >= best_results]\
.sort_values(by='average_math', ascending=False)[['school_name', 'average_math']]
total_SAT = schools['average_math'] + schools['average_reading'] + schools['average_writing']
schools['total_SAT'] = total_SAT
top_10_schools = schools[['school_name', 'total_SAT']].sort_values(by='total_SAT', ascending=False).head(10)
top_10_schools.head()
borough_stats = schools.groupby("borough").agg(
num_schools=("school_name", "count"),
average_SAT=("total_SAT", "mean"),
std_SAT=("total_SAT", "std")
).reset_index()
borough_stats[['average_SAT','std_SAT']] = borough_stats[['average_SAT', 'std_SAT']].round(2)
largest_std_dev = borough_stats.sort_values(by='std_SAT', ascending=False).head(1)