7 most common data visualization mistakes May 15, 2015 - 3:58 pm. In my last article ... Pie charts above did not have data labels whereas ‘stacked column chart’ had clear labels.

Purposely or by accident, unfortunately, data visualizations these days are riddled with errors, mistakes, and bloopers. This was the topic of Yogi Schulz’s Analytics Unleashed 2021 presentation.

Visualizing data is a task no longer strictly resigned for data journalists — it has become an indispensable skill for all reporters. Graphs and charts have been especially critical in coverage of the ...

Graph Visualization Hierarchical Edge Bundles: Visualization of Adjacency Relations in Hierarchical Data. Compound graphs, a frequently encountered type of data set, have a hierarchical tree structure ...

In my visualization post, What Makes a Good Data Visualization I mentioned two aspects of data to consider. You want a graph that conveys ideas from the data that are too complex to explain ...

Transforming your impact data into sharp, strategic charts is easier than you might think. These simple visualization ...

Data visualization is one of the most important tools we have to analyze data. But it’s just as easy to mislead as it is to educate using charts and graphs. In this article we’ll take a look ...

D3.js, short for ‘Data Driven Documents’, is the first name that comes to mind when we think of a Data Visualization Software.It uses HTML, CSS, and SVG to render some amazing charts and diagrams ...

Statpedia is a free online data visualization chart maker to create graphs from manually entered data. To use it, go to its website and click on Create Stat option. After that, enter or copy and ...

Data visualization allows viewers to see the patterns in reams of numbers. It’s the craft of simplifying the complex. Done poorly, it confuses, misleads, or even lies.