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
print('The colunms needed for the project')
print(schools.info())
# Start coding here...
#Best NYC math results
#subsetting colunms and sorting school_name and average_math
schools_sorted = schools[['school_name', 'average_math']].sort_values('average_math', ascending=False)
#subsetting rows
best_math_schools = schools_sorted[schools_sorted['average_math'] >= 640]
print('Best Math Schools in NYC')
print(best_math_schools)
#Top 10 performing schools
#Total Sat new colunm
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).head(10)
print ('Top 10 Schools based on combined SAT scores')
print (top_10_schools)
#Largest standard deviation by borough
#count, mean and std by borough
schools_std = schools.groupby('borough')['total_SAT'].agg(['count', 'mean', 'std']).round(2)
#subset of max std by borough
largest_std_dev = schools_std[schools_std['std'] == schools_std['std'].max()]
#rename colunms
largest_std_dev = largest_std_dev.rename(columns={'count': 'num_schools', 'mean':'average_SAT', 'std':'std_SAT'})
#reset index
largest_std_dev.reset_index(inplace=True)
print (largest_std_dev)