R 4 Data Science Quick Reference
A Pocket Guide to APIs, Libraries, and Packages
- Publisher's listprice EUR 37.44
-
15 882 Ft (15 125 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 8% (cc. 1 271 Ft off)
- Discounted price 14 611 Ft (13 915 Ft + 5% VAT)
15 882 Ft
Availability
Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 2nd ed.
- Publisher Apress
- Date of Publication 29 October 2022
- Number of Volumes 1 pieces, Book
- ISBN 9781484287798
- Binding Paperback
- No. of pages232 pages
- Size 254x178 mm
- Weight 470 g
- Language English
- Illustrations 13 Illustrations, black & white 466
Categories
Short description:
- Implement applicable R 4 programming language specification features
- Import data with readr
- Work with categories using forcats, time and dates with lubridate, and strings with stringr
- Format data using tidyr and then transform that data using magrittr and dplyr
- Write functions with R for data science, data mining, and analytics-based applications
- Visualize data with ggplot2 and fit data to models using modelr
Long description:
- Implement applicable R 4 programming language specification features
- Import data with readr
- Work with categories using forcats, time and dates with lubridate, and strings with stringr
- Format data using tidyr and then transform that data using magrittr and dplyr
- Write functions with R for data science, data mining, and analytics-based applications
- Visualize data with ggplot2 and fit data to models using modelr
Table of Contents:
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Parametric Modeling with SOLIDWORKS 2022
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Practical Construction Planning and Control Using Microsoft Project: An Illustrative Guide
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Language Change and Generative Grammar
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