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# Project: Exploring NYC Public School Test Result Scores

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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.

```.mfe-app-workspace-11z5vno{font-family:JetBrainsMonoNL,Menlo,Monaco,'Courier New',monospace;font-size:13px;line-height:20px;}```# Re-run this cell
import pandas as pd
import numpy as np

# Preview the data

# Start coding here...
threshold = 640
best_math_schools = schools[schools["average_math"]>= threshold][["school_name","average_math"]]
best_math_schools = best_math_schools.sort_values(by="average_math",ascending=False)

schools["total_SAT"] = schools["average_math"] + schools["average_reading"] + schools["average_writing"]
top_10_schools = schools.sort_values(by="total_SAT", ascending=False)[:10]
top_10_schools = top_10_schools[["school_name","total_SAT"]]

borough_counts = schools["borough"].value_counts().reset_index()
borough_counts.columns = ["borough","num_schools"]

borough_stats = schools.groupby("borough")["total_SAT"].agg([np.mean,np.std])
borough_stats.columns = ["average_SAT", "std_SAT"]
borough_stats["average_SAT"] = round(borough_stats["average_SAT"],2)
borough_stats["std_SAT"] = round(borough_stats["std_SAT"],2)
borough_stats_all = borough_stats.merge(borough_counts,left_on="borough", right_on="borough")
borough_stats_all = borough_stats_all.set_index("borough").sort_values(by="std_SAT",ascending=False)