Data Wrangling And Cleaning

About ETL Pipeline on Crypto Data

ETL Pipeline on Crypto Data is a team-based Python data analytics project done on daily crypto data for 6 coins and 14 index funds. It:

1. extracts raw data in three different ways: direct file reading with pandas (.csv)
2. transforms that data into aggregates by month (average, max, min, max growth)
3. loads that data into a final .sql database

Along with the analysis, project also involved a written report.

Built with

• Python
  • Pandas
• PostgreSQL
  • pgAdmin
• Google
  • Google Docs

Technical Skills

• Python reading and API requesting
• Python web scraping
• Cleaning, sorting, filtering
• Summary statistics, aggregating
• Loading data into .SQL

Qualitative Skills

• Synthesizing results for tentative conclusions
• Acknowledging potential pitfalls with results and techniques

Screenshots