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...select school_name, average_math from schools
where average_math >= (0.8*800)
order by average_math descselect school_name, (average_math + average_reading + average_writing) as total_SAT
from schools
order by total_SAT desc
limit 10select borough,
count(*) as num_schools,
round(avg((average_math + average_reading + average_writing)),2) as average_SAT,
round(stddev((average_math + average_reading + average_writing)),2) as std_SAT
from schools
group by borough
order by std_SAT desc
limit 1