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.

Simply put, bar charts are really quick to create, show comparisons clearly, and are easy for the audience to understand. They’re a staple in the data visualization arsenal.

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 ...

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.

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 ...

But a quality visualization of strong data will always be a useful tool for marketing and have value to a journalist. The following eight tips will help you to make your data visualization more ...

Unfortunately, my initial hands-on testing with corrupted datasets reveals a fundamental enterprise problem: impressive capabilities paired with insufficient transparency about data transformations.

I propose the following law: “The longer an innovative visualization exists, the probability someone says it should have been a line/bar chart approaches 1” ...

Design with empathy Background: Commonly used forms of data visualization, such as bar charts, line charts, and pie charts, while informative, can abstract content by collapsing the people represented ...