https://github.com/aegis301/star_wars_survey

https://github.com/aegis301/star_wars_survey

data-cleaning data-science dataquest

Last synced: about 1 month ago
JSON representation

• Host: GitHub
• URL: https://github.com/aegis301/star_wars_survey
• Owner: aegis301
• Created: 2020-12-23T09:44:18.000Z (about 4 years ago)
• Default Branch: master
• Last Pushed: 2020-12-23T09:57:06.000Z (about 4 years ago)
• Last Synced: 2024-11-06T19:55:58.885Z (3 months ago)
• Topics: data-cleaning, data-science, dataquest
• Language: Jupyter Notebook
• Homepage:
• Size: 88.9 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Star Wars Survey 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. While I will perform some explorations and analytic work on the data, they will remain at a lower level of complexity. For higher complexity work in data visualization and exploration as well as analytics I would refer readers to my dedicated projects in these topics.

## The Question

In this project I will clean up a dataset by fivethirtyeight. The team collected data based on a survey on the Star Wars movies by 835 people. 

## The Data

The data comes from the fivethirtyeight's [github-repository](https://github.com/fivethirtyeight/data/tree/master/star-wars-survey).

## Skills Used:

* cleaning up data columns using type conversion, boolean masks and vectorized functions

* renaming and formatting columns

* basic data visualization using matplotlib