Overview
Interactive Visualization with R for Social Scientists
Next course runs from 18 September 2017 - 15 October 2017
Overview
Interactive Visualization with R for Social Scientists
Next course runs from 18 September 2017 - 15 October 2017
Course overview
This course introduces you to techniques and tools for presenting data in visually attractive and interactive ways using the R programming language. By the end of the course, you will be familiar with the workflows for producing visualizations and be able to produce a range of visualizations from data. At the end of the course you will create a report that tells a story from data using appropriate interactive visualizations.
Course objectives
By the end of the course you will be able 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
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Interactive Visualization with R for Social Scientists
- my_vector <- c(1, 3) my_vector[2]
- iris$Sepal.Length
- install.packages(“ggplot2”) library(“ggplot2”)
Course Instructors
Course Instructors
Course Instructors
How it works
How it works
How it works
The course is organised into a set of interactive learning modules. You should work through the modules sequentially.
The interactive learning modules contain a number of topic pages. Each topic page has a video to walk you through the concept, and interactive text such as guide questions and knowledge check, to reinforce what was covered in the video.
There are three additional types of activity in your course to facilitate deeper learning. These are presented in the relevant topic pages.
- Match: These activities require you to have a go at a task offline, then select the correct solution
- Guided: These are multi-part match activities, where so you do a part of the task then submit your solution, which unlocks feedback on your attempt and the next part of the task
- Structured: This is a more complex offline task. To see the tutor’s solution you need to share your attempt at the task and your reasoning. You also get to see other participants' attempts and are encouraged to engage in discussion. The tutor will then share further feedback
The vast majority of topics in the course are fundamentally practical. You are strongly encouraged to recreate and run the code as you work through them, complete knowledge checks and activities.
This course comes with learner support for the dates this course runs. After the course ends, you’ll still have access to the course materials but you won’t receive support from the instructor.
It is recommended that learners:
- Complete Modules 1 & 2 in week 1
- Complete Module 3 in week 2
- Complete Module 4 in week 3
- Complete Module 5 in week 4
Syllabus
Syllabus
Syllabus
Module 1
Toolkit
Module 1 gives an overview of interactive visualization, and explains how to set up the various toolkits you’ll be using throughout the course
Module 2
Getting ready
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 3
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
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
Module 4
In association with
In association with
developed in association WITH
This course was first delivered by the Royal Statistical Society at the International conference in 2017. This course is online course is an expanded version of that course.
FAQs
FAQs
Frequently Asked Questions
Please see below answers to some of the most frequent questions we get about this course
What software do I need for this course?
It’s a good idea to install R Studio prior to starting this course as this will be used throughout the course (this should take about 10 minutes to do). There are a number of R libraries that are required but these will be discussed and can be installed via R Studio.
Do I need to buy any of this software?
No, they are either open source or have community (free) versions.
What do I need to participate on this course?
A computer or laptop with the suggested software and a modern browser e.g. Internet Explorer 10+ or the latest versions of Chrome and Firefox.
Can I do this course on my mobile device?
While you can access the course on your mobile device, go through the content and answer questions, you will need a desktop or laptop computer to practice and complete the activities that require you to write and/or test code.
How long will I have access to the course for?
The course will be run over 4 weeks, during which you will have access to learning support provided by the course instructor. After the 4 weeks, you will still have access to the course materials for another 2 months, but you will not be able to receive learning support from the instructor, and if there is a course forum, you will not be able to ask any questions.
Do learners get a certificate?
All of our courses offer a certificate of completion signed by your instructor. You will be able to download this certificate, from the Learning Platform, when you complete the course.