Practical R for mass communication and journalism / Sharon Machlis

Von:

Machlis, Sharon [VerfasserIn]

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: The R seriesVerlag: Boca Raton, FL : CRC Press, 2019Beschreibung: 1 Online-RessourceISBN:

9781351751131
9780429681752

Schlagwörter:

Andere physische Formen: 9780429681745 | 9781315191119 | 9781138726918. | 9781138386358. | Erscheint auch als: Practical R for mass communication and journalism. Druck-Ausgabe Boca Raton : CRC Press Taylor & Francis Group, 2019. xiii, 246 SeitenDDC-Klassifikation:

302.23102855133

LOC-Klassifikation:

TK5105.8883

Online-Ressourcen:

Zugang im Netz des KIT

Zusammenfassung: 4.5 What's a data frame? And what can you do with one?4.6 Easy sample data; 4.7 Exporting data; 4.8 Additional resources; Chapter 5 Basic Data Exploration; 5.1 Project: Weather data; 5.2 What we'll cover; 5.3 Packages needed in this chapter; 5.4 Download this book's files; 5.5 Data summaries; 5.6 Data 'interviews'; 5.7 Slicing and dicing your data set; 5.8 More subsetting with dplyr; 5.9 Wrap-Up; 5.10 Additional resources; Chapter 6 Beginning data visualization; 6.1 Project: More weather data; 6.2 What we'll cover: How to; 6.3 Packages needed in this chapterZusammenfassung: 6.4 Answer questions with graphics6.5 Easy visualizations in 1 or 2 lines of code; 6.6 Some basic graphs; 6.7 The full power of ggplot2; 6.8 Basic ggplot2 customizations; 6.9 Code snippets to the rescue; 6.10 Presentation-quality graphics; 6.11 Comment your code; 6.12 Wrap-up; 6.13 Additional resources; Chapter 7 Two or more data sets; 7.1 Project: Multiple files of U.S. airline on-time data; 7.2 What we'll cover; 7.3 Packages needed in this chapter; 7.4 Add one table to the bottom of another; 7.5 What's a list, and how do you operate on one?; 7.6 lapply; 7.7 here() you are!; 7.8 Wrap-upZusammenfassung: 7.9 Exercise 1 Answer7.10 Additional resources; Chapter 8 Analyze data by groups; 8.1 Project: Airline on-time data analysis (cont.); 8.2 What we'll cover; 8.3 Packages needed in this chapter; 8.4 Lookup tables; 8.5 Beware of missing values; 8.6 Bar graph of raw data; 8.7 Wrap up; 8.8 Additional resources; Chapter 9 Graphing by Group; 9.1 Project: Visualizing airline on-time data; 9.2 What we'll cover; 9.3 Packages needed in this chapter; 9.4 Facets; 9.5 Housing prices by state; 9.6 Geofacets; 9.7 Customizing colors; 9.8 Color palettes; 9.9 Other packages that extend ggplot2 functionalityZusammenfassung: Cover; Half Title; Chapman & Hall/CRCThe R Series; Title; Copyright; Dedication; Contents; Companion Web site; Chapter 1 Introduction; 1.1 Why programming?; 1.2 Why R?; 1.3 Is this book for you?; Chapter 2 Get Started With R in a Few Easy Steps; 2.1 What we'll cover; 2.2 Download R and RStudio; 2.3 A brief introduction to RStudio; 2.4 Try out the console; 2.5 Install packages; 2.6 Additional infrastructure; 2.7 Getting help with packages and functions; 2.8 RStudio keyboard shortcuts; 2.9 Additional files available online; 2.10 Wrap-Up; 2.11 Additional resourcesZusammenfassung: Chapter 3 See How Much You Can Do in a Few Lines of Code3.1 Packages needed in this chapter; 3.2 What we'll cover; 3.3 Simple stock market graphing; 3.4 Download and graph a city's median income; 3.5 So many packages!; 3.6 Running functions without loading packages; 3.7 Comparing one city's data to the US median; 3.8 Run a remote script to make an interactive map; 3.9 Bonus map: Mapping income data; 3.10 Wrap-Up; 3.11 Additional resources; Chapter 4 Import Data into R; 4.1 What we'll cover; 4.2 Packages needed in this chapter; 4.3 The magic of rio; 4.4 Import data from packagesPPN: PPN: 1048054055Package identifier: Produktsigel: ZDB-4-NLEBK

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