03503nam a22005055i 4500 978-3-031-57051-3 DE-He213 20251030112045.0 cr nn 008mamaa 240516s2024 sz | s |||| 0|eng d 9783031570513 978-3-031-57051-3 10.1007/978-3-031-57051-3 doi QA76.9.I52 UYZF bicssc MAT013000 bisacsh UYZF thema Bianconi, Francesco. author. aut http://id.loc.gov/vocabulary/relators/aut 76919 Data and Process Visualisation for Graphic Communication [electronic resource] : A Hands-on Approach with Python / by Francesco Bianconi. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XIX, 242 p. 98 illus., 84 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Part I: Data -- 1. Introducing data -- 2. Magnitudes -- 3. Proportions -- 4. One variable as a function of the other -- 5. Frequency distributions -- 6. Groups -- 7. Relations -- 8. Bivariate data -- 9. Trivariate data -- 10. Geospatial data -- Part II: Representing processes -- 11. Timelines -- 12. Flowcharts -- 13. Gantt charts -- 14. PERT diagrams. This book guides the reader through the process of graphic communication with a particular focus on representing data and processes. It considers a variety of common graphic communication scenarios among those that arise most frequently in practical applications. The book is organized in two parts: representing data (Part I) and representing processes (Part II). The first part deals with the graphical representation of data. It starts with an introductory chapter on the types of variables, then guides the reader through the most common data visualization scenarios – i.e.: representing magnitudes, proportions, one variable as a function of the other, groups, relations, bivariate, trivariate and geospatial data. The second part covers various tools for the visual representation of processes; these include timelines, flow-charts, Gantt charts and PERT diagrams. In addition, the book also features four appendices which cover cross-chapter topics: mathematics and statistics review, Matplotlib primer, color representation and usage, and representation of geospatial data. Aimed at junior and senior undergraduate students in various technical, scientific, and economic fields, this book is also a valuable aid for researchers and practitioners in data science, marketing, entertainment, media and other fields. Information visualization. 64751 Python (Computer program language). 64608 Computer graphics. Data and Information Visualization. 66435 Python. 47553 Computer Graphics. SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031570506 Printed edition: 9783031570520 https://doi.org/10.1007/978-3-031-57051-3 ZDB-2-SCS ZDB-2-SXCS 59901 59901