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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()
## NYC schools that have best math result
best_math_schools = schools[schools['average_math']>=640][['school_name','average_math']]
best_math_schools = best_math_schools.sort_values(by = 'average_math',ascending = False)
#print(best_math_schools)
## Top 10 performing schools
schools['total_SAT'] = schools['average_math']+schools['average_reading']+schools['average_writing']
top_10_schools = schools[['school_name','total_SAT']].sort_values(by='total_SAT',ascending = False).head(10)
#print(top_10_schools)
##Largest Standard deviation borough
#schools_std_dev = schools.groupby('borough').agg({'school_name':'count','total_SAT':'mean','total_SAT':'std'})
schools_std_dev = schools.groupby('borough')['total_SAT'].agg({'count','mean','std'}).round(2)
largest_std_dev = schools_std_dev[schools_std_dev['std']==schools_std_dev['std'].max()]
largest_std_dev = largest_std_dev.rename(columns={"count": "num_schools", "mean": "average_SAT", "std": "std_SAT"})
largest_std_dev.reset_index(inplace=True)
print(largest_std_dev)