7 Best Data Visualization Tools of 2022.

Best Data visualization tools

Best Data visualization tools are those that help you effectively visualize your data. 

They can be used for both business and personal use. 

Data visualization tools present information visually using charts, graphs, maps, diagrams, etc. 

They can be used to communicate complex ideas or make it easier to understand large amounts of data. 

A visualization is an essential tool for understanding data. Its goal is to provide easy-to-use, powerful, and practical solutions for all users.

In this article, we’ll go over some of the best Data Visualization Tools out there so that you can find the one that’s perfect for you.

Let’s get started.

What Are the Best Data Visualization Tools?

By the end of this guide, you should have a much clearer idea as to which best Data Visualization Tools will be the most appropriate for your needs.

1. Zoho Analytics.


Zoho Analytics is an easy-to-use business intelligence platform that lets you analyze your data quickly and easily. 

You can create dashboards, charts, maps, and more with it. 

You can also share reports with colleagues or clients. And you can export them as PDFs or PowerPoint slides.

Zoho data visualization tool’s intuitive interface makes it simple to explore your data and discover new patterns.

Key Feature 

  • Create beautiful visualizations using our drag-and-drop interface.
  • Easily add new fields to your tables.
  • Use filters to find exactly what you’re looking for.
  • Share your work with others through email or social media.
  • Export your report as a PDF file or PowerPoint slide.
  • Customize your dashboard to show only the information you want.
  • Save time by creating multiple views of the same data.
  • Get insights into your data without writing code.
  • Analyze millions of rows of data in seconds.
  • Import data from Excel, Google Sheets, CSV files, databases, and many other sources.
  • Connect to hundreds of APIs, including Twitter, Facebook, Instagram, YouTube, Salesforce, and more.


# 15- day free trial. No credit card is required.

  • Basic: $30 per month.
  • Standard: $60 per month.
  • Premium: $145 per month.
  • Enterprise: $575 per month.

2. Databox.


Databox online data visualization tool is an intuitive visual analytics platform that helps users explore their data visually. 

With Databox’s easy-to-use interface, users can quickly discover insights about their data, make sense of it, and share them with others. 

The visualize data tool provides a comprehensive set of interactive charts, maps, graphs, tables, and dashboards. 

Users can easily create custom reports using prebuilt templates or build customized reports.

Key Feature 

  • best data visualization tool Easy to learn and use.
  • The comprehensive chart types include line, bar, pie, scatter, bubble, map, timeline, area, and more.
  • Interactive charts such as line, bar, pie, and scatter.
  • Customizable dashboard views.
  • Data exploration capabilities include drilling, filtering, sorting, pivot, and group.
  • Create your report template with.
  • Share your work with others through email, social media, and online collaboration.
  • Built-in support for Excel, Google Sheets, Tableau, Qlikview, and Microsoft Power BI.
  • Supports multiple file formats including CSV, TSV, JSON, XML, HTML, XLSX, PDF, TXT, RTF, DOCX, PPTX, ODT, and many more.


Databox has a free- forever plan.

Paid plans:

  •  Free: $0 per month.
  • Starter: $72 per month.
  • Professional: $135 per month.
  • Performer: $231 per month.

You can save 20% on an annual subscription.

3. Tableau.


Tableau’s big data visualization tool helps people see and understand their data. 

Tableau makes it easy to turn data into information and insight. 

Tableau’s beautiful data visualization tool is award-winning software that makes creating beautiful dashboards, interactive reports, and compelling visualizations simple. 

With Tableau Public, anyone can share workbooks created using our desktop or mobile apps. 

And with Tableau data visualization tools for non-programmers Server, organizations can quickly deploy and manage powerful analytics applications across multiple users.

Key Feature 

  • Create stunning visuals quickly and easily.
  • Easily explore your data without writing code.
  • Share your work with others.
  • Collaborate with colleagues around the world.
  • Use Tableau Desktop or Mobile Apps.
  • Access public worksheets via Tableau Public.
  • Deploy and manage Tableau Server.


Tableau has a free trial.

  • Tableau Creator: $70 per month.
  • Tableau Explorer: $35 per month.
  • Tableau Viewer: $12 per month.

4. Infogram.


Infogram online data visualization tool is easy to create beautiful infographics using your data. 

You can easily add text, shapes, charts, graphs, maps, and more. 

The best part? No coding is required!

This data science visualization tool allows you to build infographics from any Sheet quickly. 

Select which columns you want to visualize (e.g., sales by month), choose what type of chart you would like to include (line, bar, pie, etc.), and click “Create Chart.” This is the best free online data visualization tool.

Key Feature 

  • Create stunning infographics without any code or design skills.
  • With an online data visualization tool, you can easily share your work online.
  • Add custom icons, colors, fonts, and much more.
  • Use accurate data from Google Analytics, Salesforce, GitHub, Twitter, Facebook, Instagram, etc.
  • Export as PNG, SVG, PDF, HTML, JPG, GIF, EPS, PSD, and many others.
  • Share directly via email, social media, Slack, Trello, and more.
  • Save time and money with our free plan.
  • This is the best free data visualization tool (Free forever).


Find the plan that’s right for you.

  • Basic: Free Forever.
  • Pro: $19 per month.
  • Business: $67 per month.
  • Team: $149 per month.
  • Enterprise: Contact with infogram.

You can Save 24% on annual billing.

5. ChartBlocks.


ChartBlocks’ latest data visualization tool is an easy-to-use web application that allows users to create stunning charts and graphs using their data.

The user interface is clean and intuitive while still offering advanced options.

Users can choose between line, bar, or pie chart types, customize colors, add titles, legends, axes, labels, annotations, and more.

I like this app because it makes creating charts simple. It has a clean UI, which makes it easy to understand what each element does.

Plenty of customization options are available, so you can easily change things to suit your needs.

Key Feature 

  • Create professional-looking charts and graphs without any coding knowledge.
  • Use your data as input.
  • Choose between line, bar, or pie chart types.
  • Customize color scheme, axis, title, legend, annotation, etc.
  • Export charts/graphs as PNG, SVG, PDF, JPG, EPS, GIF, HTML5 Canvas, and SVG.
  • Supports IE9+, Chrome, Firefox, Safari, Opera, and mobile browsers.


ChartBlocks has a free trial.

  • Basic: $0 per month.
  • Personal: $8 per month.
  • Professional: $20 per month.
  • Elite: $65 per month.

6. Datawrapper.


Datawrapper excel data visualization tool is an easy way to create beautiful charts, graphs, maps, and more using your data or public data sources such as Google Analytics, Facebook Insights, Twitter Trends, etc.

It is an open-source data visualization tool. You can easily share them via email, and social media, embed them into websites, and much more!

Key Feature 

  • Create stunning visualizations quickly and easily with tool data visualization.
  • Easily add interactive elements like buttons, sliders, filters, and more.
  • Share your work online or download it directly to your computer with a free data visualization tool.
  • Export your chart as an image, PDF, SVG, PNG, JPG, GIF, HTML5 Canvas, PowerPoint, Word document, Excel spreadsheet, CSV file, or JSON.
  • Use any data, including numeric, categorical, time series, geographical, financial, relational, hierarchical, network, bubble, pie, line, bar, and column.


  • Free: $0 per month.
  • Custom: $599 per month.
  • Enterprise: Contact with Datawrapper team. 

7. Plotly.


Plotly data visualization tool makes it easy to create beautiful interactive plots and dashboards.

The most common way to start using Plotly is by creating a new project from scratch.

This will give you access to all the default features like line charts, bar graphs, scatterplots, etc. If you already have some data in a spreadsheet, CSV file, or database, you can import it into a project directly.

It’s a data visualization free tool for individuals, but businesses pay a subscription fee to access its advanced features.

Key Feature 

  • Create stunning charts and graphs quickly and easily.
  • Share your work online with collaborators.
  • Collaborate on projects together with data visualization tool open source.
  • Use the same code as a developer.
  • Visualize data in Excel, Google Sheets, Tableau, Qlikview, and more.
  • Export to PDF, PNG, SVG, HTML5 Canvas, and many other formats.
  • Includes a free trial (data visualization toll-free).


What are data visualization tools?

Data visualization tools are software programs used to create visual representations of data. 

They allow users to explore large amounts of information quickly and easily. 

Some data visualization tools examples include maps, graphs, charts, and tables.

The most common type of data visualization tool is a chart. Charts are often used to show trends in data over time. 

For example, they might compare sales figures from one month to another. 

Other charts include bar charts, line charts, pie charts, scatter plots, bubble charts, and radar charts.

Features & Benefits Of Data Visualization Tools.

A good data visualization tool should have the following features:

  • Interface: Data visualization tools are designed to help users understand data in various ways. These tools allow users to explore data visually, interactively, and dynamically. In addition, they provide an intuitive interface to present information in a way that makes sense to humans.
  • Charts: Many types of data visualizations include bar charts, line graphs, pie charts, scatter plots, maps, etc. Every kind of visualization provides different insights into the data being presented.
  • Interactive: Interactive charts enable users to zoom in and out, pan around, and change the size of the graph.
  • Responsive: Responsive charts adjust automatically based on screen resolution.
  • Mobile-friendly: Mobile-friendly charts adapt themselves to mobile screens.
  • Easy to use: Tools to visualize data easy-to-use interfaces provide intuitive navigation and simple controls.
  • Usability: Good Usability ensures that the user gets what they want without problems.
  •  An interactive user interface enables users to navigate the data set easily.
  • Good-looking graphics that make the data easier to interpret.
  • Straightforward labels to describe each point.
  • Easy navigation between different views of the data like data visualization tools excel.
  • Ability to zoom in/out to focus on specific parts of the data.
  • Ability to filter out specific points based on criteria (such as date range).
  • Ability to create custom filters to view only relevant subsets of the data.
  • Ability to export the data to other formats (like Excel).
  • Ability to save the current state of the visualization.
  • Ability to share the visualization via social networks.
  • Ability to embed the visualization on web pages.

Best Data Visualization Tools – Summary.

The best data visualization tools allow users to explore data visually. 

These tools help people understand complex datasets and make sense of them. In addition, tools for data visualization provide a way to communicate information about data using visual means. 

Visualizing data helps us gain insights into our data. We can use these top data visualization tools to identify patterns in the data, spot trends, and find correlations between different variables.

There are many types of data visualization tools out there. 

You need to choose the right tool based on what kind of data you want to visualize, how much time you have to create the visualization, and whether you’re looking to share the results with others.

If you’re looking for marketing tips, check out my reviews of Search Engine Marketing.

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