LEADER 05149nam 22007575 450 001 9910874659503321 005 20251217154708.0 010 $a9783031625664$b(electronic bk.) 010 $z9783031625657 024 7 $a10.1007/978-3-031-62566-4 035 $a(MiAaPQ)EBC31545396 035 $a(Au-PeEL)EBL31545396 035 $a(CKB)33329814500041 035 $a(DE-He213)978-3-031-62566-4 035 $a(EXLCZ)9933329814500041 100 $a20240723d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHumanities Data in R $eExploring Networks, Geospatial Data, Images, and Text /$fby Taylor Arnold, Lauren Tilton 205 $a2nd ed. 2024. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2024. 215 $a1 online resource (287 pages) 225 1 $aQuantitative Methods in the Humanities and Social Sciences,$x2199-0964 311 08$aPrint version: Arnold, Taylor Humanities Data in R Cham : Springer International Publishing AG,c2024 9783031625657 327 $a- Part I Core -- Working with Data in R -- EDA I: Grammar of Graphics -- EDA II: Organizing Data -- EDA III: Restructuring Data -- Collecting Data -- Part II Data Types -- Textual Data -- Network Data -- Temporal Data -- Spatial Data -- Image Data -- Part III Additional Methods -- Programming in R -- Data Formats. 330 $aThis book teaches readers to integrate data analysis techniques into humanities research practices using the R programming language. Methods for general-purpose visualization and analysis are introduced first, followed by domain-specific techniques for working with networks, text, geospatial data, temporal data, and images. The book is designed to be a bridge between quantitative and qualitative methods, individual and collaborative work, and the humanities and social sciences. The second edition of the text is a significant revision, with almost every aspect of the text rewritten in some way. The most notable difference is the incorporation of new R packages such as ggplot2 and dplyr that center broad data-science concepts. This 2nd edition of Humanities Data with R does not presuppose background programming experience. Early chapters take readers from R set-up to exploratory data analysis, with one chapter dedicated to each stage of the data-science pipeline (data collection, visualization, manipulation, and relational joins). Following this, text analysis, networks, temporal data, geospatial data, and image analysis each have a dedicated chapter. These are grounded in examples to move readers beyond the intimidation of adding new tools to their research. The final section of the book extends the core material with additional computer science techniques for processing large datasets. Everything is hands-on: image analysis is explained using digitized photographs from the 1930s, and networks are applied to page links on Wikipedia. After working through these examples with the provided data, code and book website, readers are prepared to apply new methods to their own work. The open source R programming language, with its myriad packages and popularity within the sciences and social sciences, is particularly well-suited to working with humanities data. R packages are also highlighted in an appendix. The methodology will have wide application in classrooms and self-study for the humanities, but also for use in linguistics, anthropology, and political science. Outside the classroom, this intersection of humanities and computing is particularly relevant for research and new modes of dissemination across archives, museums and libraries. 410 0$aQuantitative Methods in the Humanities and Social Sciences,$x2199-0964 606 $aMathematical statistics$xData processing 606 $aDigital humanities 606 $aSociology$xMethodology 606 $aComputational linguistics 606 $aAnthropology 606 $aStatistics and Computing 606 $aDigital Humanities 606 $aSociological Methods 606 $aComputational Linguistics 606 $aAnthropology 606 $aEstadística matemàtica$2thub 606 $aHumanitats digitals$2thub 606 $aProcessament de dades$2thub 608 $aLlibres electrònics$2thub 615 0$aMathematical statistics$xData processing. 615 0$aDigital humanities. 615 0$aSociology$xMethodology. 615 0$aComputational linguistics. 615 0$aAnthropology. 615 14$aStatistics and Computing. 615 24$aDigital Humanities. 615 24$aSociological Methods. 615 24$aComputational Linguistics. 615 24$aAnthropology. 615 7$aEstadística matemàtica 615 7$aHumanitats digitals 615 7$aProcessament de dades 676 $a519.5 700 $aArnold$b Taylor$0755625 701 $aTilton$b Lauren$0755626 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910874659503321 996 $aHumanities data in R$91522721 997 $aUNINA