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...
# Add as many cells as you like...best_math_schools=schools[schools['average_math']>=800*0.8].sort_values('average_math',ascending=False)
best_math_schools=best_math_schools.loc[:,["school_name","average_math"]]
best_math_schools.head()schools['total_SAT']=schools['average_math']+schools['average_reading']+schools['average_writing']
top_10_schools=schools.sort_values('total_SAT',ascending=False)[["school_name", "total_SAT"]].head(10)boroughs=schools.groupby("borough")["total_SAT"].agg(['count','mean','std']).round(2)
largest_std_dev=boroughs[boroughs['std']==boroughs["std"].max()]
largest_std_dev=largest_std_dev.rename(columns={'count':"num_schools",'mean':"average_SAT",'std':"std_SAT"})
print (largest_std_dev)
largest_std_dev.reset_index(inplace=True)