While every data visualization tool is different, most tools share some common (and very useful) features. This section will briefly describe these features and why they are essential when selecting your ideal tool.
Data Import API
Many tools include an application programming interface (API) that allows you to import data from your data collection tool into your visualization tool. APIs speed up the visualization process, since without an API you would have to download your data, load it into your tool, and format it manually.
Chart Templates
Chart templates are pre-made layouts that you can use to create an engaging visualization quickly. They’re perfect if you’re not a graphic designer or data analyst, as you simply insert your data into the chart.
Most chart templates also allow you to vk database customize the colors, fonts, and headers of your chart.
Interactive graphics
Interactive charts react when you interact with them, meaning you can highlight key numbers, trends or variables without the impact of perplexity’s artificial intelligence on seoCommon features having to create separate visualizations for each analysis.
Version History
Version history lets you view and restore older versions of your data visualizations, meaning you can undo a mistake without benin businesses directory losing your data.
Mobile optimization
As the name suggests, mobile optimization allows you to modify the presentation of your visualizations to adapt them to mobile devices.
Top data visualization tools for 2025
If you search for “data visualization software,” you’ll find hundreds of different options. That’s a lot of options to Common featureschoose from, so to help you narrow it down, we’ve compiled a list of our top 11 tools in this section.
1. Microsoft Excel
Microsoft Excel is the oldest (and probably the most well-known) program on this list. Released by Microsoft in 1987, Excel allows you to create tables, charts, and about 20 other visualizations.