The Top 6 Data Visualization tools in 2020

Priyesh Sinha
DataDrivenInvestor
Published in
6 min readSep 19, 2020

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Photo by Luke Chesser ( Source: Unsplash.com)

Do you want to create interactive, meaningful and creative (beautiful) dashboards?

Raw data is difficult to interpret or communicate. The Data Visualization tools help you illustrate your ideas, visualize your data, do the talking, share your significant analytics with clients, customers, and the global community. Not only you or your business partners or colleagues can make sense of the data faster, but it also lets you observe interesting patterns, build beautiful dashboards and data stories.

Data Visualization Example (Image source and credits : Pinterest)

Following is a handpicked list of Top Data Visualization Tools that you should use to get a better insight from your data.

Image by Franki Chamaki, credits, and source: Unsplash

1. Plotly

Plotly is a javascript based data visualization tool which offers one of the most interactive interfaces to its users and helps you to build analytic web apps.

Plotly demo [Image source and credits: plotly.com]

Best suited for :

It has two commercial offerings — Dash Enterprise and Chart Studio Enterprise which makes it more suited for professional enterprises that require data science and AI on a large scale. This app enables you to export HTML files and images in the report.

Features:

  • You can deliver dashboards that run advanced analytics: ML, NLP, forecasting, computer vision, etc.
  • It provides multi deployment options and streamlines your workflows
  • It provides a wide range of charts and templates and also supports drag and drop functionalities. You can develop custom style themes.
  • Plotly can be integrated with the existing workflow of your company, team collaboration by providing options to add multiple team members
  • It lets data scientists work in the languages they love: Python, R, and Julia and the autonomy to deploy and update applications themselves.
  • You can easily scale your analytic apps effortlessly with a Kubernetes-based platform.

Where to find:

2. Highcharts

Highcharts is a modern SVG-based, multi-platform charting library which allows you to add interactive charts to web and mobile projects. The Highcharts debugger helps you speed up development by providing instantaneous warnings and error reports above your charts. It makes data visualization extremely easy by providing high customizability.

HighCharts [Image source and credits: Highcharts.com]

Best suited for :

For small to mid-size projects. It’s entirely free of cost for non-commercial use, including students, non-profit organizations, and school websites.

Features:

  • Highcharts is build using HTML 5 and compatible and optimized for mobile, tablets, etc.
  • It offers a lot of different types of charts and supports line, spline, area, column, and more. It lets you embed a full-featured chart editor to your CMS or web app with just a few lines of code. It lets you modify axes in a chart and add, remove, or modify series and points.
  • It supports third-party integrations and provides accessibility support for visually impaired users, and users with keyboard navigation only.
  • It allows type checking for Highcharts options/functions, including auto-complete code features.

Where to find:

3. Datawrapper

Datawrapper is an open-source and free online data visualization tool for making interactive charts that are fully responsive to mobiles, tablets, etc. Many organizations use Datawrapper to embed live charts into their articles.

Datawrapper Demo [Image source and credits : Datawrapper.com]

Best suited for :

It’s open-source and free and most suitable for students, small organizations etc.

Features:

  • Datawrapper empowers everyone to create digitally optimized charts, maps, or tables.
  • Datawrappers design defaults/templates are based on years of experience in data visualization, which makes sure that charts easy to understand.
  • It provides real-time live-updating graphics features which are great for elections & sports events data projections.
  • Datawrapper provides APIs to automate the creation process, update, and publish charts and can be fully embedded into content management systems.

Where to find:

4. FusionCharts

FusionCharts is an extremely useful JavaScript-based data visualization software that offers more than 2000 maps and 100+ charts and helps you to extract raw data from numerous databases and turn it into meaningful reports. It lets you start quickly by providing ready-to-use chart examples, industry-specific dashboards, and even data stories, available with source code.

Fusioncharts Demo [Image source and credits : fusioncharts.com]

Best suited for :

It’s suitable for mid-size to big projects which involve dashboards and storytelling development.

Features:

  • Fusioncharts provides unique features, including relational display, visual discovery, consistent API, cross-browser support, and enables you to integrate with JavaScript framework.
  • It provides a consistent look, feels, and API across different charts make it simple to build complex charts or dashboards. You can make build your theme and it allows you to export the result in bulk.
  • It has comprehensive documentation for each library or programming language, with a lot of live-examples.

Where to find:

5. Looker

It is one of my favorite data visualization tools that provides real-time dashboards of the data for more in-depth analysis which helps you in making instant business decisions. It enables you to explore, visualize, analyze, and share analytics efficiently.

Looker Demo [Image source and credits : looker.com]

Best suited for :

Big projects and organizations.

Features:

  • Looker’s dashboards are very efficient, live, interactive, and dynamic, which lets you go beyond the surface and dig deeper into your data.
  • It lets you drill through charts to gain a deeper understanding of your business.
  • Looker also provides connections with Redshift, Snowflake, BigQuery, etc.

Where to find:

6. Tableau

Tableau helps you in creating charts, maps, and every other type of professional dashboards, storytelling charts, or graphics. With Tableau, you can connect any database to create any visual or chart. It allows users to prepare, clean, and format their data and then create interactive, shareable data visualizations to obtain actionable insights that makes it easy to take efficient business decisions.

Tableau Demo [Image source and credits: tableau.com]

Best suited for :

Students, corporate companies looking for data visualization solutions without complexities or on the cloud.

Features:

  • It allows users to create dashboards that provide actionable insights and drive the business forward.
  • It comes with different versions, such as the Tableau server, cloud, and desktop. Users can perform real-time analysis of their data
  • It offers JS extensions and APIs to generate custom reports.
  • It provides powerful analytical enhancements and powers enterprise analytics.
  • Tableau Cloud allows the user to access their data and analytics from anywhere, and the flexibility to deploy Tableau where they want it.

Where to find:

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