This is a continuation of Chapter 1 summary of Python Data Analytics by Fabio Nelli. Click here for Part I or here for Part II.
Quantitative and Qualitative Data Analysis

Open Data
- DataHub (http://datahub.io/dataset)
- World Health Organization (http://www.who.int/research/en/)
- Data.gov (http://data.gov)
- European Union Open Data Portal (http://open-data.europa.eu/en/data/)
- Amazon Web Service public datasets (http://aws.amazon.com/datasets)
- Facebook Graph (http://developers.facebook.com/docs/graph-api)
- Healthdata.gov (http://www.healthdata.gov)
- Google Trends (http://www.google.com/trends/explore)
- Google Finance (https://www.google.com/finance)
- Google Books Ngrams (http://storage.googleapis.com/books/ngrams/books/datasetsv2.html)
- Machine Learning Repository (http://archive.ics.uci.edu/ml/)