https://github.com/aegis301/nyc_high_school_project

Data cleaning project using NYC high school data
https://github.com/aegis301/nyc_high_school_project

data-analytics data-cleaning data-science data-visualization pandas

Last synced: about 1 month ago
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Data cleaning project using NYC high school data

• Host: GitHub
• URL: https://github.com/aegis301/nyc_high_school_project
• Owner: aegis301
• Created: 2020-12-21T20:48:44.000Z (about 4 years ago)
• Default Branch: master
• Last Pushed: 2020-12-21T21:09:25.000Z (about 4 years ago)
• Last Synced: 2024-11-06T19:55:58.862Z (3 months ago)
• Topics: data-analytics, data-cleaning, data-science, data-visualization, pandas
• Language: Jupyter Notebook
• Homepage:
• Size: 18 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# NYC High School Project

*Disclaimer: This project is based on the data cleaning walkthrough provided by dataquest.io. Though my own take on this project might differ from what can be found on their website.*

## The Project

In this project I will try to showcase my skills in data cleaning, data exploration and presentation. While I will perform some analyses on this project, they will remain at a lower level of complexity. If you want to see my performance on more complex issues, I would refer you to my other projects.

## The Question

In this project, I will try to investigate whether standardized testing in U.S. highschools is efficiant and if certain groups are at a disadvantage.

## The Data

### The Data

In order to answer said question, I am going to use publicly accessible SAT data from 2012 from the city of New York. In order to investigate demographics I need more data though. Here's a list of all datasets I am going to use:

* [SAT scores by school](https://data.cityofnewyork.us/Education/2012-SAT-Results/f9bf-2cp4) - SAT scores for each high school in New York City

* [School attendance](https://data.cityofnewyork.us/Education/2010-2011-School-Attendance-and-Enrollment-Statist/7z8d-msnt) - Attendance information for each school in New York City

* [Class size](https://data.cityofnewyork.us/Education/2010-2011-Class-Size-School-level-detail/urz7-pzb3) - Information on class size for each school

* [AP test results](https://data.cityofnewyork.us/Education/AP-College-Board-2010-School-Level-Results/itfs-ms3e) - Advanced Placement (AP) exam results for each high school (passing an optional AP exam in a particular subject can earn a student college credit in that subject)

* [Graduation outcomes](https://data.cityofnewyork.us/Education/2005-2010-Graduation-Outcomes-School-Level/vh2h-md7a) - The percentage of students who graduated, and other outcome information

* [Demographics](https://data.cityofnewyork.us/Education/2006-2012-School-Demographics-and-Accountability-S/ihfw-zy9j) - Demographic information for each school

* [School survey](https://data.cityofnewyork.us/Education/2011-NYC-School-Survey/mnz3-dyi8) - Surveys of parents, teachers, and students at each school

## Skills Used

* reading different file formats into pandas

* condensing data by concatenating and merging pandas Data Frames

* converting data types into different formats

* converting, cleaning and recalculating rows and columns using vectorized methods

* working with geographic data

* handling and replacing missing data