- Black, Paul, 2017, ig Data: 50 Fascinating and Free Data Sources for Data Visualization, https://www.bigdatanews.datasciencecentral.com/profiles/blogs/big-data-50-fascinating-and-free-data-sources-for-data
- Brownlee, Jason, 2017, How to Handle Missing Data with Python, https://machinelearningmastery.com/handle-missing-data-python/
- Datadotworld website, https://data.world/
- Julia packages, https://docs.julialang.org/en/release-0.4/manual/packages/
- McKinney, Wes, 2012, Python for Data Analysis, O'Reilly.
- Missing code for Julia, https://docs.julialang.org/en/latest/manual/missing/
- Python package datadotworld, https://github.com/datadotworld/data.world-py
- Quandl data delivery platform, https://www.quandl.com
- SPSS datasets, ...
Chapter 03: Data Basics
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