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In this video we'll take things further using facets, themes and labels, and go about trying to solve a real problem using exploratory data analysis in ggplot2. Watch more of our videos on an Introduction to R here: • Introduction to R More information can be found in the accompanying document available at: https://stats4sd.org/resources/531 For our free resources, visit our website: https://stats4sd.org/resources Useful links referenced in this series: ggplot2 cheat sheet: https://rstudio.github.io/cheatsheets... R Graphics Cookbook: https://r-graphics.org/ R Colour Chart: http://www.stat.columbia.edu/~tzheng/... Colour Brewer: https://colorbrewer2.org/ Statistics for Sustainable Development is a not-for-profit, social enterprise that provides: • Statistical and data management expertise • Support on research designs and methodology • Technical guidance related to collection and processing of data and information. As a team of technicians and statisticians, we believe that our best work is done when supporting organisations and communities across the world that share our vision of a more sustainable future for all. The videos on our channel aim to support students, researchers, and academics, and are accompanied by the free resources on our website. This video was created and presented by Sam Dumble, a statistician at Stats4SD. Video production is by Emily Nevitt, a graphic and instructional designer at Stats4SD. Stay updated on what the team is up to over on our LinkedIn: / statistics-for-sustainable-development Contents: 00:00 - Intro 00:18 - Recap 01:04 - Using Plots to Show Data Relationships 03:21 - Bar Charts with geom_bar 06:36 - Coding Facets in ggplot2 07:51 - Using Facets to Show Data Realtionships 10:20 - Themes and Labels 11:29 - Changing Default Themes 12:59 - Summary 14:25 - Further Resources