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020 _a9783031570513
_9978-3-031-57051-3
024 7 _a10.1007/978-3-031-57051-3
_2doi
050 4 _aQA76.9.I52
072 7 _aUYZF
_2bicssc
072 7 _aMAT013000
_2bisacsh
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082 0 4 _a001.4226
_223
100 1 _aBianconi, Francesco.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9101778
245 1 0 _aData and Process Visualisation for Graphic Communication
_h[electronic resource] :
_bA Hands-on Approach with Python /
_cby Francesco Bianconi.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXIX, 242 p. 98 illus., 84 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aPart 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.
520 _aThis 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.
650 0 _aInformation visualization.
_914255
650 0 _aPython (Computer program language).
_96666
650 0 _aComputer graphics.
_94088
650 1 4 _aData and Information Visualization.
_933848
650 2 4 _aPython.
_934340
650 2 4 _aComputer Graphics.
_94088
710 2 _aSpringerLink (Online service)
_9101784
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031570506
776 0 8 _iPrinted edition:
_z9783031570520
856 4 0 _uhttps://doi.org/10.1007/978-3-031-57051-3
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cEBK
999 _c88013
_d88013