Back in May of this year, I set myself a challenge: I wanted to try as many applications and libraries and programming languages in the field of data visualization as possible. To compare these tools ...

In Chapter 3, we introduce how to create graphs using ggplot2. This time, we will introduce line graphs. Line graphs are commonly used in Excel as well, but just like bar charts, there are several ...

In the R programming language, the de facto standard framework for drawing rectangular coordinates is ggplot2. The most important feature of ggplot2 is that it is object-oriented and uses the plus ...

Data visualization is a crucial aspect of data science that involves the graphical representation of data to identify trends, patterns, and outliers. The ability to effectively visualize data is vital ...

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. Creating informative and digestible data visualizations is a foundational aspect ...

From the initial allegations in the 1990s to the #MeToo movement, here is a chronology of the events leading up to his sentencing. By Troy Closson Despite facing allegations of sexual misconduct ...

library(ggplot2) library(ggtrendline) x <- c(1, 3, 6, 9, 13, 17) y <- c(5, 8, 11, 13, 13.2, 13.5) ggtrendline(x, y, model = "exp2P", linecolor = "blue", linetype = 1 ...

Create R data visualizations easily with a few lines of simple code using the ggcharts R package. Plus, the resulting charts and graphs are customizable ggplot objects. ggplot2 is an enormously ...

The ggplot2 package is powerful and almost endlessly customizable, but sometimes small tweaks can be a challenge. The ggtext package aims to simplify styling text on your visualizations. In this ...