Introduction to Data Analysis - Part III

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

QUANTITATIVE: numerical & categorical, quantitative predictions, more objective conclusion. QUALITATIVE: textual visual audio, qualitative predictions, more subjective conclusion. — 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/)

Published by

Ednalyn C. De Dios

I’ve always been enamored with code and I love data science because of its inherent power to solve real problems. Having grown up in the Philippines, served in the United States Navy, and worked in the nonprofit sector, I am driven to make the world a better place. I have started and participated in numerous campaigns that aim to reduce domestic violence and child abuse in the community. View all posts by Ednalyn C. De Dios

Introduction to Data Analysis – Part III

Quantitative and Qualitative Data Analysis

Open Data

Published by

Ednalyn C. De Dios

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