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...
schools["total_SAT"] = schools["average_math"] + schools["average_reading"] + schools["average_writing"]
best_math_schools = schools[schools["average_math"] >= 0.8*800] .sort_values("average_math",ascending=False)[["school_name","average_math"]]
top_10_schools = schools.sort_values("total_SAT",ascending = False)[["school_name","total_SAT"]].head(10)
std_dev = schools.groupby("borough")["total_SAT"].agg("std")
num_schools = schools.groupby("borough")["school_name"].agg("count")
largest_std_dev = schools.groupby("borough")["total_SAT"].agg(["count","mean","std"]).round(2).sort_values("std",ascending = False).head(1).rename(columns = {"count":"num_schools","mean":"average_SAT","std":"std_SAT"})
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