Data Visualization is a widely used technique for visualizing, analyzing, and presenting datasets using different types of graphs. It is an effective way to evaluate a large data set using pictorial ...
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 at 3 of ...
Why is data visualization so important in statistics, anyway? Graphs and other kinds of visualizations might seem superfluous, if you’re using statistical analysis to look for patterns in a data set, ...
For decades, visualization was the final stop on the data journey. It was optional—"good to have" on top of data analytics. Analysts would gather numbers, then clean and process, and only at the end ...
If you’re looking to improve your skills in creating Excel charts and transform how you visually represent data, this guide by Simon Sez IT is an excellent resource. It covers everything from reliable ...
This story contains interviews with data visualization professionals Moritz Stefaner, Scott Murray, Benjamin Wiederkehr, partner at design and technology studio Interactive Things, data visualization ...
As more health systems work to harness their data for quality improvements and efficiency, many are realizing that it's about a lot more than just numbers. Intuitive and communicative charts and ...
Planning and executing an excellent SEO strategy is critical for any digital marketing campaign. However, the effort requires data to tell the story in a way that resonates with our clients. But ...
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 ...
The coronavirus crisis has shown how easily a poorly drawn or chosen map, chart, or data visualization can be misinterpreted, with potentially grave consequences. In one recent example, researchers ...
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” I’ve seen the “shoulda been a line chart” ...
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