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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...# Filtering for best math schools in NYC
best_math_schools = schools[schools['average_math'] >= 0.8 * 800][['school_name', 'average_math']].sort_values(by= 'average_math', ascending = False)schools.columns
schools['total_SAT'] = schools['average_math'] + schools['average_reading'] + schools['average_writing']schools.head()# Getting the top 10 schools in total
top_10_schools = schools[['school_name', 'total_SAT']].sort_values(by = 'total_SAT', ascending = False).head(10)schools['borough'].value_counts()largest_std_dev = (schools.groupby('borough') # grouping schools by borough
.agg({
'total_SAT':['std', 'mean'], # getting the std and mean of the total_SAT column
'borough': 'count' # getting the number of schools in each borough
}) # aggregating the grouped data by std, mean and count
.round(2) # rounding the values to two decimal places
.droplevel(0, axis = 1) # dropping the first level of the multi_index columns
.rename({'count':'num_schools',
'mean':'average_SAT',
'std':'std_SAT'}, axis=1) # renaming the columns to the required names
.sort_values(by = 'std_SAT', ascending = False)).head(1)