Interactive Visualization with R

Format:

Book

Author/Creator:

Royal Statistical Society

Language:

English

Subjects (All):

Social sciences.

Physical Description:

Online course : (40 hr.)

Place of Publication:

London : SAGE Publishing 2020

Summary:

This course teaches the techniques and tools for presenting data in visually attractive and interactive ways using the R programming language. This course is perfect for social scientists who are looking to use and develop their existing R skills to communicate their research in a new and engaging way. This course will help learners to: • Understand the need for interactive visualizations and reports, and the associated workflows. • Produce a range of visualizations relevant to the available data. • Produce and publish a report that contains appropriate interactive visualizations to tell a story about the data. MODULE ONE: TOOLKIT MODULE TWO: GETTING • Typical workflow for interactive visualizations and reports - overview of the workflow for putting together an interactive visualization and report. • Planning a story - what needs to be considered when planning visualizations and reports. • Getting data ready - coverage of defined tidyverse packages to get data ready for visualization, along with a simple exercise. • A simple example of a workflow - preparing data using tidyverse and producing a simple bar chart with plotly MODULE THREE: INTERACTIVE CHARTS AND MAPS • Producing charts with plotly - more in-depth look at using htmlwidget plotly to make a chart. • Producing charts with highcharter - making a chart with highcharter and comparison to plotly. • Making an interactive map with leaflet and plotly - creating a map with interactive markers. • Producing a network chart - Creating a network chart using tibbles and visNetwork. MODULE FOUR: SHINY BASICS AND R MARKDOWN • Charts in shiny - outputting htmlwidget charts in shiny. • Controls and UI - Adding and configuring controls. • Reactivity and publishing - controlling when variables update, and publishing your app. • Creating an RMarkdown document - creating the right type of document for your report. • Adding charts and code - adding charts, code chunks and shiny apps. • Publishing - publishing Rmarkdown documents.

ISBN:

1-5297-5425-9

OCLC:

1200116949