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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...schools.columns
1.0 Which NYC schools have the best math results?
Filter Schools with Best Math Results( > Threshold)
threshold = 0.8 * 800
highest_math_schools = schools[schools["average_math"] >= threshold]
best_math_schools_unsorted = highest_math_schools[["school_name", "average_math"]]
print(best_math_schools_unsorted.head())Sort Results in Descending Order
best_math_schools = best_math_schools_unsorted.sort_values(by="average_math", ascending= False)
print(best_math_schools)2.0 What are the top 10 performing schools based on the combined SAT scores?
Step 1: Compute Total SAT Score
schools["total_SAT"] = schools["average_math"] + schools["average_reading"] + schools["average_writing"]
schools.head()Step 2: Select Required Columns
top_10_schools = schools[["school_name", "total_SAT"]]
Step 3: Sort in Descending Order