Data Visualisation with R
☆☆☆☆☆
(0 opinii)
Najniższa cena (z dostawą)
8 579,00 JPY
Typowa cena62,85 PLN
Najniższa (90 dni)49,70 PLN
Liczba ofert2
Ostatnia aktualizacja1 tydzień temu
Historia ceny (90 dni)
Pełna historia
2026-08-08
2026-08-15
| Zaktualizowano | Cena |
|---|---|
| 2026-08-08 | 49,70 |
| 2026-08-15 | 63,29 |
| Sprzedawca | Cena produktu | Dostawa | Razem | Dostępność | Aktualizacja | |
|---|---|---|---|---|---|---|
| SP Springer Nature Author | 8 579,00 JPY | 0 zł | 8 579,00 JPY | Dostępny | 1 tydzień temu | Zobacz ofertę |
| SP SpringerNatureLink Shop INT | 65,99 EUR | 19,00 EUR | 84,99 EUR | Dostępny | 1 dzień temu | Zobacz ofertę |
Ceny i dostępność mogą ulec zmianie. Ostatnia aktualizacja: 08.08.2026 12:03.
EAN
9783030284466
Springer Nature
0,0
☆☆☆☆☆
0 opinii
5★
0%
4★
0%
3★
0%
2★
0%
1★
0%
Opinie o produkcie
Brak opinii — bądź pierwszy!
This book introduces readers to the fundamentals of creating presentation graphics using R, based on 111 detailed and complete scripts. It shows how bar and column charts, population pyramids, Lorenz curves, box plots, scatter plots, time series, radial polygons, Gantt charts, heat maps, bump charts, mosaic and balloon charts, and a series of different thematic map types can be created using R’s Base Graphics System. Every example uses real data and includes step-by-step explanations of the figures and their programming. This second edition contains additional examples for cartograms, chord-diagrams and networks, and interactive visualizations with Javascript. The open source software R is an established standard and a powerful tool for various visualizing applications, integrating nearly all technologies relevant for data visualization. The basic software, enhanced by more than 14000 extension packs currently freely available, is intensively used by organizations including Google, Facebook and the CIA. The book serves as a comprehensive reference guide to a broad variety of applications in various fields. This book is intended for all kinds of R users, ranging from experts, for whom especially the example codes are particularly useful, to beginners, who will find the finished graphics most helpful in learning what R can actually deliver.