Data Science at Heat Seek

This is a Heat Seek repository for all-things-data. It includes our methodologies, example datasets, and information on the data visualization tools and techniques we utilize when performing data analysis. At a high level, we break our data projects into two separate portions: Data Analysis and Data Visualizations. A breakdown of each section is included below.

[Data Analysis and Methodology](doc/Data Analysis.md)

Methodology, tools, and techniques used at Heat Seek for both internal and external analyses.

This section covers:

• Data Sources Used
  • Open Source
  • APIs
  • Web Scraping
• Programming Languages
  • R
  • Python
• ETL (Extract, Transform, Load) Techniques
• Databases
  • PostgreSQL
• Data Cleaning/Massaging Using Command-Line Tools
  • awk, sed, etc.
• Other Resources

[Data Visualizations](doc/Data Visualizations.md)

Applications and libraries used by Heat Seek to visualize datasets and analyses.

• Applications for Prototyping and Publishing including:
  • Spotfire
  • Tableau
  • Adobe Illustrator
  • ggplot2
• Other Resources