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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
import matplotlib as plt
# 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...NYC Schools with Best Math Results
The best math results are at least 80% of the maximum possible score of 800 for math. Here are the schools that has the best math results:
Qualifying Score
qualifying_score = int(800 * .80)
print(qualifying_score)List of Schools with Best Math Results in NYC
schools_math_scores = schools[["school_name", "average_math"]].sort_values("average_math", ascending=False)
best_math_schools = schools_math_scores[schools_math_scores["average_math"] > qualifying_score]
print(best_math_schools)Top 10 Performing Schools Based on Combined SAT Scores
Calculating combined SAT scores
schools["total_SAT"] = schools[["average_math", "average_reading", "average_writing"]].sum(axis=1)
schools.head()Top 10 Schools with the highest combined SAT scores
top_10_schools = schools[["school_name","total_SAT"]].sort_values("total_SAT", ascending=False).head(10)
print(top_10_schools)Borough With Highest Standard Deviation on Total SAT
largest_std_dev = schools.groupby("borough").agg(
num_schools = ("school_name","count"),
average_SAT = ("total_SAT","mean"),
std_SAT = ("total_SAT","std")
).round(2).sort_values("std_SAT", ascending=False).head(1)
print(largest_std_dev)