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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 numpy as np
# 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...schools["math_percentage"] = (schools["average_math"] / 800) * 100
best_math_schools = schools[schools["math_percentage"] >= 80]
best_math_schools = best_math_schools[["school_name", "average_math"]]
best_math_schools = best_math_schools.sort_values("average_math", ascending=False)
best_math_schoolsschools["total_SAT"] = schools["average_math"] + schools["average_reading"] + schools["average_writing"]
top_10_schools = schools[["school_name", "total_SAT"]].sort_values("total_SAT", ascending=False).head(10)
top_10_schoolsstd_dev_by_borough = schools.groupby("borough")["total_SAT"].std().reset_index()
largest_std_dev_borough = std_dev_by_borough.sort_values(by="total_SAT", ascending=False).iloc[0]["borough"]
schools_in_borough = schools[schools["borough"] == largest_std_dev_borough]
num_schools = schools_in_borough.shape[0]
average_SAT = schools_in_borough["total_SAT"].mean().round(2)
std_SAT = schools_in_borough["total_SAT"].std().round(2)
largest_std_dev = pd.DataFrame({
"borough": [largest_std_dev_borough],
"num_schools": [num_schools],
"average_SAT": [average_SAT],
"std_SAT": [std_SAT]
})
largest_std_dev