Referencias

Abbott, Desireé. 2024. Everyday Data Visualization. Manning Publications.

Chapman, Pete, Julian Clinton, Randy Kerber, et al. 2000. CRISP-DM 1.0: Step-by-Step Data Mining Guide.

Cleveland, William S. 1993. Visualizing Data. Hobart Press.

Erl, Thomas, Wajid Khattak, and Paul Buhler. 2016. Big Data Fundamentals: Concepts, Drivers & Techniques. Prentice Hall.

Fayyad, Usama, Gregory Piatetsky-Shapiro, and Padhraic Smyth. 1996. “From Data Mining to Knowledge Discovery in Databases.” AI Magazine 17 (3): 37–37.

Few, Stephen. 2009. Now You See It: Simple Visualization Techniques for Quantitative Analysis. Analytics Press.

Hand, David J, Heikki Mannila, and Padhraic Smyth. 2001. Principles of Data Mining. MIT press.

Iacus, Stefano M., Simon Munzert, Christian Rubba, and Dominic Nyhuis. 2015. Web Scraping and Text Mining with r. John Wiley & Sons.

Johnson, Richard A., and Dean W. Wichern. 2014. Applied Multivariate Statistical Analysis. 6th ed. Pearson Education Limited.

Knaflic, Cole Nussbaumer. 2015. Storytelling with Data: A Data Visualization Guide for Business Professionals. John Wiley & Sons.

Knaflic, Cole Nussbaumer. 2020. Storytelling with Data: Let’s Practice! John Wiley & Sons.

Lumley, Thomas. 2010. Complex Surveys: A Guide to Analysis Using r. John Wiley & Sons.

Mason, Hilary, and Chris Wiggins. 2010. “A Taxonomy of Data Science.” Dataists 22.

Matignon, Randall. 2007. Data Mining Using SAS Enterprise Miner: A Case Study Approach. John Wiley & Sons.

Mitchell, Ryan. 2015. Web Scraping with Python: Collecting Data from the Modern Web. O’Reilly Media, Inc.

Pietsch, Wolfgang. 2022. On the Epistemology of Data Science: Conceptual Tools for a New Inductivism. Springer Nature.

Pimpler, Eric. 2018. Data Visualization and Exploration with r. Geospatial Training Services.

Provost, Foster, and Tom Fawcett. 2013. Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking. O’Reilly Media.

Shmueli, Galit, Peter C. Bruce, Inbal Yahav, Nitin R. Patel, and Kenneth C. Lichtendahl Jr. 2018. Data Mining for Business Analytics: Concepts, Techniques, and Applications in r. John Wiley & Sons.

Tan, Pang-Ning, Michael Steinbach, Anuj Karpatne, and Vipin Kumar. 2019. Introduction to Data Mining. 2nd ed. Pearson Education.

Torgo, Luís. 2017. Data Mining with r: Learning with Case Studies. 2nd ed. CRC Press.

Tufte, Edward R. 2001. The Visual Display of Quantitative Information. 2nd ed. Graphics Press.

Wickham, Hadley. 2014. Advanced r. CRC Press.

Wickham, Hadley. 2016. Ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag.

Wickham, Hadley, and Garrett Grolemund. 2019. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. O’Reilly Media.

Wilkinson, Leland. 2005. The Grammar of Graphics. 2nd ed. Springer.