If so, keep reading. These proven best practices will help. To keep things short, I’ve limited my suggestions to the two most commonly used data viz devices: pie charts and bar graphs.

Bar charts shorten time to insight, enable straightforward comparisons between different items and data sets, and bring a clean visual representation to your audience. While there are certainly ...

One of the easiest ways to misrepresent your data is by messing with the y-axis of a bar graph, line graph, or scatter plot. In most cases, the y-axis ranges from 0 to a maximum value that ...

When it comes to visualizing data, there is no shortage of charts and graphs to choose from. From traditional graphs to innovative hand-coded visualizations, there is a continuum of visualizations ...

1] LiveGap LiveGap is a free online data visualization tool to make a variety of charts. Using it, you can create line, area, bar, pie, doughnut, radar, polar area, step, and a lot more charts.

Create a basic bar graph with ggplot2 Next I’ll create a basic (static) ggplot bar chart of the data. I use geom_col () for a bar chart, add my own customary blue bars outlined in black and ...

Conclusion In conclusion, biological data analysis and visualization are integral components of modern bioinformatics research. The combination of computational techniques, statistical methods, and ...