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Analyzing the performance of schools is important for a variety of stakeholders. This project came with a publicly available dataset called 'schools.csv'. The goal is to answer three key questions about New York City (NYC) public school SAT performance: check out the repo to find out.

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NYC School SAT Performance Analysis

Project Context

New York City schoolbus

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.

The Dataset

This project comes with a publicly available dataset: schools.csv

The Objective

The goal is to answer three key questions about New York City (NYC) public school SAT performance:

  • Which schools have the best math scores?
  • Who are the top 10 performing schools, wrt total SAT scores?
  • Which NYC borough has the largest standard deviation in SAT performance?

Project Activity

Exploratory Data Analysis: View Code

  • Sorting and subsetting of DataFrame
  • Visualization
  • Summary statistics

Key Insights

  • 9 out of the top 10 schools with the best average Math scores are also in the top 10 overall performing schools.
  • Manhattan is the NYC borough with the largest standard deviation, 230.29, of its total SAT scores with 89 schools.

About

Analyzing the performance of schools is important for a variety of stakeholders. This project came with a publicly available dataset called 'schools.csv'. The goal is to answer three key questions about New York City (NYC) public school SAT performance: check out the repo to find out.

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