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_math_schools=schools[schools.average_math>=640][["school_name", "average_math"]].sort_values(by='average_math', ascending=False)
top_10_schools=schools
top_10_schools["total_SAT"]=top_10_schools["average_math"]+top_10_schools["average_reading"]+top_10_schools["average_writing"]
top_10_schools["rank"]=top_10_schools["total_SAT"].rank(ascending=False)
top_10_schools=top_10_schools.sort_values("rank")[["school_name","total_SAT"]][top_10_schools["rank"] <=10]
top_10_schools
#largest_std_dev=schools.groupby("borough").size().reset_index(name='num_schools')
#largest_std_dev=schools.groupby("borough")[["total_SAT"]].std()
#largest_std_dev=schools.groupby("borough").agg({'borough': 'count', 'total_SAT': 'std'})
largest_std_dev=schools.groupby("borough").agg(num_schools=('borough','count'), average_SAT=('total_SAT','mean'), std_SAT=('total_SAT','std')).round(2).sort_values(by='std_SAT', ascending=False)
largest_std_dev=largest_std_dev.head(1)
largest_std_dev