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...
best_math_schools=schools[schools["average_math"]>640][["school_name","average_math"]].sort_values("average_math",ascending=False)
best_math_schools.head()schools["total_SAT"]=schools["average_math"]+schools["average_reading"]+schools["average_writing"]
top_10_schools=schools[["school_name","total_SAT"]].sort_values("total_SAT",ascending=False).head(10)
top_10_schools
borough_stats = schools.groupby('borough').agg(
num_schools=('school_name', 'size'),
average_SAT=('total_SAT', 'mean'),
std_SAT=('total_SAT', 'std')
)
largest_std_dev_value = borough_stats["std_SAT"].max()
largest_std_dev = borough_stats[borough_stats["std_SAT"] == largest_std_dev_value]
largest_std_dev[['average_SAT', 'std_SAT']] = largest_std_dev[['average_SAT', 'std_SAT']].round(2)
largest_std_dev