font <- sapply(data$isTutorial, function(x) if (x) 16 else 1) colors <- sapply(data$isTutorial, function(x) if (x) "red" else "blue") hist(tutorial$favors[tutorial ...

```{r setup, cache = FALSE, echo = FALSE, message = FALSE, warning = FALSE, tidy = FALSE} knitr::opts_chunk$set(message = F, error = F, warning = F, comment = NA, fig ...

In this tutorial we create basic visualizations (histograms and box plots) using R. The purpose of these basic visualizations is to see the distribution of a particular variable. The distribution ...

A histogram is a graph that can tell you if an image is well-exposed and whether it has clipped tones – the diagram below shows you how to interpret it When you purchase through links on our site, we ...