This flipbook illustrates how to use R to make different types of graphs described in the Q&A **"Why you shouldn’t use bar graphs for continuous data and what to use instead"** (https://osf.io/bsa46/), including dotplots, box plots, violin plots, and combinations of these graphs. Before reviewing this flipbook, please examine the Q&A to learn basic principles and determine what type of graphs are best for your data.
**The Q&A is available in several formats:**
1. **Slides:** https://osf.io/bsa46/
2. **Twitter thread:** https://twitter.com/T_Weissgerber/status/1192694904603992064
3. **Webinar:**
https://elifesciences.org/inside-elife/5114d8e9/webinar-report-transforming-data-visualisation-to-improve-transparency-and-reproducibility
4. **Paper:**
https://www.ahajournals.org/doi/10.1161/CIRCULATIONAHA.118.037777
**Intended audience:** These materials are designed for basic biomedical and biological scientists, many of whom work with small sample sizes.
**Files:** This repository includes
1. The **flipbook**, as **power point slides**
2. The **flipbook**, as a **PDF**
3. An **R script** to create the graphs shown in the flipbook
3. Two **example data files** (csv) used to create the graphs shown in the flipbook
4. An **animated GIF** showing selected slides from the flipbook
R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety platforms and is therefore easily accessible for any researcher.
