Exploratory Data Analysis Using R: Chapman & Hall/CRC Data Mining and Knowledge Discovery
Autor Ronald K. Pearsonen Limba Engleză Mixed media product – 21 sep 2018
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Specificații
ISBN-13: 9781498730235
ISBN-10: 149873023X
Pagini: 400
Dimensiuni: 156 x 235 x 31 mm
Greutate: 0.94 kg
Editura: Taylor & Francis
Seria Chapman & Hall/CRC Data Mining and Knowledge Discovery
ISBN-10: 149873023X
Pagini: 400
Dimensiuni: 156 x 235 x 31 mm
Greutate: 0.94 kg
Editura: Taylor & Francis
Seria Chapman & Hall/CRC Data Mining and Knowledge Discovery
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Cuprins
1. Data, Exploratory Analysis, and R 2. Graphics in R 3. Exploratory Data Analysis: A First Look 4. Thirteen Important Data
Anomalies 5. Working with External Data 6. SQL and Relational Databases 7. Linear Regression Models 8. Crafting Data Stories 9. Programming in R 10. Working with Text Data 11. Exploratory Data Analysis: A Second Look 12. More General Predictive Models
Anomalies 5. Working with External Data 6. SQL and Relational Databases 7. Linear Regression Models 8. Crafting Data Stories 9. Programming in R 10. Working with Text Data 11. Exploratory Data Analysis: A Second Look 12. More General Predictive Models
Notă biografică
Ronald K. Pearson holds a PhD in Electrical Engineering and Computer Science from the Massachussetts Institute of Technology and has more than 40 years professional experience in exploratory data analysis. Dr. Pearson has held industrial, business, and academic positions in the fields of industrial process control, bioinformatics, drug safety data analysis, software development, and insurance. He has authored or co-authored books including Exploring Data in Engineering, the Sciences, and Medicine (Oxford University Press, 2011) and Mining Imperfect Data with Examples in R and Python (SIAM, 2020).