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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.

# 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.shape
schools.columns
schools.describe()

Best Math Result are at least 80%

threshold_80 = 0.8 * 800
print(threshold_80)
best_math = schools[schools['average_math'] >= threshold_80]
best_math_schools = best_math.loc[:,['school_name','average_math']]
best_math_schools = best_math_schools.sort_values("average_math",ascending = False )
print(best_math_schools)
best_math_schools

Identifying top 10 performing schools

topten_df = schools
topten_df['total_SAT'] = (topten_df['average_math'] + topten_df['average_reading'] + topten_df['average_writing'])
print(topten_df.sort_values("total_SAT", ascending = False ))
top_10_schools = topten_df.loc[:,['school_name',"total_SAT"]].sort_values("total_SAT", ascending = False ).head(10)
top_10_schools

Largest Standard Deviation

import numpy as np
largest_std_dev = topten_df.groupby("borough")['total_SAT'].agg(["count",np.mean,np.std]).round(2)
largest_std_dev = largest_std_dev[largest_std_dev['std'] == largest_std_dev['std'].max()]
largest_std_dev = largest_std_dev.rename(columns = {"count":"num_schools","mean":"average_SAT","std":"std_SAT"})
largest_std_dev