Ronald K. Pearson

Exploratory Data Analysis Using R (eBook, PDF)

• Format: PDF

Produktbeschreibung

This textbook introduces exploratory data analysis (EDA) and covers the range of interesting features we can expect to find in data. The book also explores the practical mechanics of using R to do EDA.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 562
• Erscheinungstermin: 4. Mai 2018
• Englisch
• ISBN-13: 9780429847035
• Artikelnr.: 56840876

Autorenporträt

Ronald K. Pearson currently works for GeoVera, a property insurance company in Fairfield, California, primarily in the analysis of text data. He holds a PhD in Electrical Engineering and Computer Science from the Massachussetts Institute of Technology and has published conference and journal papers on topics ranging from nonlinear dynamic model structure selection to the problems of disguised missing data in predictive modeling. Dr. Pearson has authored or co-authored books including Exploring Data in Engineering, the Sciences, and Medicine (Oxford University Press, 2011) and Nonlinear Digital Filtering with Python, co-authored with Moncef Gabbouj (CRC Press, 2015). He is also the developer of the DataCamp course on base R graphics.