Anyone who's ever listened to Taylor Swift's "Reputation" will know that our gal has recently discovered partying. Data-loving Redditer waitingforgoodoh decided to plot all the alcohol references in ...

ggplot2, by Hadley Wickham, is an excellent and flexible package for elegant data visualization in R. However the default generated plots require some formatting before we can send them for ...

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 ...

Eight million people are living with HIV with more than six million being on treatment. Behind these big numbers lurk a universe of fascinating epidemiological dynamics. In this special briefing, ...

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 ...

Python is the top choice for data science due to its ease and powerful libraries. R and SQL are key for stats, visualization, and database work. Julia and JavaScript are growing in speed and web-based ...

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 not just an art form but a crucial tool in the modern data analyst's arsenal, offering a compelling way to present, explore, and understand large datasets. In the context of ...

Reduced-dimension or spatial in situ scatter plots are widely employed in bioinformatics papers analyzing single-cell data to present phenomena or cell-conditions of interest in cell groups. When ...

Venn diagrams are widely used diagrams to show the set relationships in biomedical studies. In this study, we developed ggVennDiagram, an R package that could automatically generate high-quality Venn ...