03305nam a22004575i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001500172072001700187072002300204072001600227100008900243245014500332250001800477264006900495300006500564336002600629337002600655338003600681347002400717505035800741520132701099650003802426650004702464650002302511650004702534650001902581650002302600710003402623773002602657776003602683776003602719856004602755912001402801912001502815999001702830978-3-031-57051-3DE-He21320251030112045.0cr nn 008mamaa240516s2024    sz |    s    |||| 0|eng d  a97830315705139978-3-031-57051-37 a10.1007/978-3-031-57051-32doi 4aQA76.9.I52 7aUYZF2bicssc 7aMAT0130002bisacsh 7aUYZF2thema1 aBianconi, Francesco.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut97691910aData and Process Visualisation for Graphic Communicationh[electronic resource] :bA Hands-on Approach with Python /cby Francesco Bianconi.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXIX, 242 p. 98 illus., 84 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda0 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.  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. 0aInformation visualization.964751 0aPython (Computer program language).964608 0aComputer graphics.14aData and Information Visualization.96643524aPython.94755324aComputer Graphics.2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303157050608iPrinted edition:z978303157052040uhttps://doi.org/10.1007/978-3-031-57051-3  aZDB-2-SCS  aZDB-2-SXCS  c59901d59901