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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...- Finding schools with the best math scores
#First we filter the values on the dataframe for those schools with avergae math score over 800
schools_over80=schools[schools["average_math"]>=640]
#then we keep only the relevant columns and sort by the math average scores
best_math_schools=schools_over80[["school_name","average_math"]].sort_values(by=["average_math"],ascending=False)
#Finally we show the result
best_math_schools
- Identifying the top 10 performing schools
schools['total_SAT']=(schools['average_math']+
schools['average_reading']+schools['average_writing'])
schools_total_SAT_sorted=schools[["school_name","total_SAT"]].sort_values(by=["total_SAT"], ascending=False)
top_10_schools= schools_total_SAT_sorted.head(10)
top_10_schools- Locating the NYC borough with the largest standard deviation in SAT performance
import numpy as np
grouped_schools=schools.groupby('borough').agg(
num_schools=('school_name','count'),
average_SAT=('total_SAT','mean'),
std_SAT=('total_SAT','std') ).round(2)
largest_std_dev=grouped_schools[grouped_schools["std_SAT"]==grouped_schools["std_SAT"].max()]
largest_std_dev