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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...# Get 80% of maximum score
score_80percent = 0.8 * 800
print(score_80percent)# Best math schools based on average math score
columns_formath = ["school_name","average_math"]
best_math_schools = schools[schools["average_math"] >= score_80percent][columns_formath].sort_values(by="average_math", ascending=False)
print(best_math_schools)# Top 10 schools based on combined SAT scores
columns_top10 = ["school_name","total_SAT"]
schools["total_SAT"] = schools["average_math"] + schools["average_reading"] + schools["average_writing"]
top_10_schools = schools[columns_top10].sort_values(by="total_SAT", ascending=False).head(10)
print(top_10_schools)# Which single borough has the largest standard deviation in the combined SAT score?
# Grouping data by borough
df_borough = schools.groupby(["borough"])["total_SAT"].agg(["count","mean","std"]).round(2)
# Getting the borough with the largest standard deviation
largest_std_dev = df_borough.sort_values(by="std", ascending=False).head(1)
#Renaming the columns
largest_std_dev = largest_std_dev.reset_index()
largest_std_dev.columns = ["borough","num_schools","average_SAT","std_SAT"]
print(largest_std_dev)schools.head()