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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()
# Start coding here...
# Add as many cells as you like...Which NYC schools have the best math results?
best_math = schools[schools["average_math"] >= 0.8*800]
print(best_math.head())
best_math_schoolsed = best_math.sort_values("average_math", ascending = False)
best_math_schools = best_math_schoolsed[["school_name","average_math"]]
print(best_math_schools.head())What are the top 10 performing schools based on the combined SAT scores?
schools["total_SAT"] = schools["average_math"] + schools["average_reading"] + schools["average_writing"]
top_10_schools_all_field = schools.sort_values("total_SAT",ascending = False )
top_10_schools = top_10_schools_all_field[["school_name","total_SAT"]].head(10)
print(top_10_schools)Which single borough has the largest standard deviation in the combined SAT score?
std_dev_borough = schools.groupby("borough")["total_SAT"].agg(['count','mean', 'std']).round(2)
print(std_dev_borough)
largest_std_dev =std_dev_borough.sort_values('std', ascending = False)
largest_std_dev = largest_std_dev.rename(columns={"count":"num_schools","mean":"average_SAT","std":"std_SAT"}).head(1)
print(largest_std_dev)