class: middle, center, title-slide .title[ # Wrapping Up ] .subtitle[ ## Data Visualization ] .author[ ### Johan Larsson ] .author[ ### Behnaz Pirzamanbein ] .institute[ ### The Department of Statistics, Lund University ] --- ## Congratulations! You've learnt a lot! - **powerful** and **modern** tools for visualization - multivariate, interactive, animated, and spatial visualizations - theoretical aspects (the grammar of graphics, color, data-ink) .pull-right[ <img src="images/balloons.jpg" width="100%" style="display: block; margin: auto;" /> ] --- ## Next Steps ### ggplot2 and R - Read the [ggplot2 book](https://ggplot2-book.org/). - Check out the [many extensions to ggplot2](https://exts.ggplot2.tidyverse.org/). - Take the red pill and read <a name=cite-murrell2018></a>[Murrell (2018)](#bib-murrell2018) to learn everything there is to know about R graphics. ### Data Wrangling - Datasets in the wild are seldom as well-organized; learn about wrangling with data in [R for Data Science](https://r4ds.had.co.nz/). ### Visualization - Learn more about Edward Tufte's seminal work <a name=cite-tufte2001></a>([Tufte, 2001](#bib-tufte2001)). --- ## Course Evaluation **Please** fill out the course evaluation! Your feedback helps us to develop and improve this course for future students like you. <br><br><br><br> <img src="images/survey.jpg" width="65%" style="display: block; margin: auto 0 auto auto;" /> --- ## References <a name=bib-murrell2018></a>[Murrell, P.](#cite-murrell2018) (2018). _R Graphics, Third Edition_. 3rd Edition. Boca Raton: Chapman and Hall/CRC. 441 pp. ISBN: 978-1-4987-8905-9. <a name=bib-tufte2001></a>[Tufte, E. R.](#cite-tufte2001) (2001). _The Visual Display of Quantitative Information_. Second. Cheshire, CT, USA: Graphics Press. ISBN: 978-1-930824-13-3.