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.columns
schools.head()
Best Math Schools
# Using column syntax to subsetting and boolean masking to retrieve the relevant fields and data that qualifies
best_math_schools = schools[schools['average_math']>=0.8*800]
best_math_schools = best_math_schools[['school_name','average_math']].sort_values('average_math',ascending = False)
# print(best_math_schools)
Top 10 SAT Schools
schools['total_SAT']=schools[['average_math','average_reading','average_writing']].sum(axis=1)
top_10_schools = schools[['school_name','total_SAT']].sort_values('total_SAT',ascending=False)[:10]
print(len(top_10_schools))Borough Standard Deviation
bo = schools.groupby('borough')['total_SAT'].agg(['std','count','mean'])
# print(bo)
largest_std_dev = round(bo[bo['std']==bo['std'].max()],2)
largest_std_dev = largest_std_dev.rename(columns={'std':'std_SAT','count':'num_schools','mean':'average_SAT'})
print(largest_std_dev)