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 ...

In this beginner guide to Google Looker Studio, you'll learn how to easily create, collaborate on and share interactive charts and reports. Looker Studio helps you transform data into an image. As ...

1. Make Sure Your Data Is Compelling & Strong Enough The first rule of visualization: Everything hangs on the quality and credibility of your data. If you ain’t got the goods then forget it.

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.

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