https://github.com/juan-kabbali/clustering-dimention-reduction

This repository has an analysis of a dataset with 33 variables and 395 observations. The goal is to reduce dimensions and create clusters to provide interesting conclusions.
https://github.com/juan-kabbali/clustering-dimention-reduction

Last synced: 2 months ago
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This repository has an analysis of a dataset with 33 variables and 395 observations. The goal is to reduce dimensions and create clusters to provide interesting conclusions.

• Host: GitHub
• URL: https://github.com/juan-kabbali/clustering-dimention-reduction
• Owner: juan-kabbali
• License: mit
• Created: 2020-03-05T18:37:36.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2020-03-24T01:04:49.000Z (about 5 years ago)
• Last Synced: 2024-03-23T15:27:10.411Z (about 1 year ago)
• Language: R
• Size: 2.98 MB
• Stars: 2
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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# Clustering and Dimention Reduction

This repository has an analysis of a dataset with 39 variables and 183 observations. 

The goal is to reduce dimensions and create clusters to provide interesting conclusions.

### World Countries Indicators

This dataset has been taken from [Kaggle](https://www.kaggle.com/worldbank/world-development-indicators). Its original format is a SQLite database which contains a series of tables with each country and its respective indicators along time. Previous to proced the analysis, we have reorganized and reformatted the data.