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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

# 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...``````
``````best_math_schools = schools[["school_name", "average_math"]][schools["average_math"]>= (800*0.8)]
best_math_schools = best_math_schools.sort_values("average_math", ascending = False)
schools["total_SAT"] = schools["average_math"]+schools["average_reading"]+ schools["average_writing"]
schools = schools.sort_values("total_SAT", ascending = False)
top_10_schools = schools[["school_name", "total_SAT"]][0:10]
print(top_10_schools)
borough_schools = pd.DataFrame(columns = ["num_schools","average_SAT","std_SAT"])
borough_schools["std_SAT"]=schools.groupby("borough")["total_SAT"].agg(pd.DataFrame.std)
largest_std_dev = borough_schools[borough_schools["std_SAT"].max() == borough_schools["std_SAT"]]
largest_std_dev["average_SAT"] = schools["total_SAT"][schools["borough"] == largest_std_dev.index[0]].mean()
largest_std_dev["num_schools"] = len(schools[schools["borough"] == largest_std_dev.index[0]])
largest_std_dev=largest_std_dev.round(2)
print(largest_std_dev)``````