Categories: Resource

10 Top Data Visualization Tools for 2022

Data science is gaining importance these days. Data visualization tools are all about gathering raw data and converting the same into visuals. Being visual creatures, viewers can find colorful graphics to be quite appealing. Businesses can also convey messages quite easily and more effectively unlike plain numbers.

Visuals also provide valuable information that can be absorbed effortlessly. It also helps specific datasets to become more appealing to users. Incorporating the same into business does not require any expertise. You just need to use the right tools and develop attractive charts, maps, diagrams along other visuals.

Top 10 Data Visualization Tools

1. Tableau Public & Gallery:

Pros:

This software combines ease of use and versatility.
Informative community
Offers plenty of tutorials
Easy to update
Mobile responsive
Easy data blending
Extensive customer support
Manual setup not required

Cons:

Data analysis does not remain private
Local saving of reports not allowed
Auto-refresh as well as report scheduling options not offered

2. HockeyStack

Pros:

End-to-end SaaS-based analytics, machine learning
Unify product data, sales, revenue, and marketing into a single dashboard without any code.
No setup is required.
Allows visually appealing, customized dashboard creation to answer queries related to inter-departments.
Surveys, segments, revenue analytics.

3. Google Charts:

Pros:

User-friendly platform
Cross-browser compatible
Google product and cloud computing compatibility
Easy import of data from SQL databases, Salesforce, Google Fusion Tables, and Google Spreadsheets.
Mobile-friendly
Interactive dashboard
Manages huge datasets
Displays real-time and live data on-site.

Cons:

Require optimization of exporting tools
Support not offered for Google Charts
Sophisticated statistical processing is not present.

4. Google Data Studio

Pros:

Free AI integration features
SQL knowledge is not desired.
Easy to use and intuitive
Integrates well with Google’s ecosystem
Data can be merged within a single report derived from multiple sources
Interactive and dynamic visual analytics

Cons

Lacks basic calculations
Excel files not supported
Lacks on-premise option essential for security

5. Infogram

Pros:

This machine learning offers easy UX to non-designers.
Intuitive drag-drop editor
Includes 550+ maps and 35+ chart types along with infographics
Easy embedding and exporting options for private/public outlets
API to import additional data sources

Cons

This data science tool has fewer integration features and inbuilt sources.
Rich text editing is not provided with the free plan
Modification desired in customer support

6. Datawrapper:

Pros:

Maps, tables, and charts can be exported as PNGs.
Installation not necessary
Inbuilt color blindness checker
Mobile-friendly
Auto-save feature
Coding skills are not necessary

Cons:

This cloud computing tool focuses on the journalism industry alone.
Customizations not offered

7. D3.js

Pros:

Customizable, fast, and powerful
Even non-programmers can use this visual analytics tool to develop visualizations.
Focuses on embedding and standards
Can visualize data in HTML, CSS, and SVG

Cons:

Data-source restrictions
Cannot conceal easily original data.

8. Flourish Public

Pros:

Ready-to-use templates
Mobile-friendly previews offered
Resources offered.
Published projects will work even if an account is closed

Cons:

Visuals appear with Flourish branding.
Imports possibly only with CSV and Excel files

9. RAWGraphs:

Pros:

Simple interface
Mobile-friendly AI integration tool
Cloud-based
Re-arrangeable and easy-to-read visual layout
Assures data security

Cons:

Managing huge data sets involves problems
Data parameter issues
Dynamic or interactive visuals cannot be created
Log scales are not offered

10. Dygraphs

Pros:

Interactive out-of-the-box: pan, zoom, and mouseover are offered by default.
Manages huge data sets and multiple data series
Mobile-friendly
Works with all recently launched browsers.
Highly customizable

Cons:

Visuals available publicly
Needs on-pre setup
Tough to navigate site and filled with bugs
Import sources restricted to DataTable, function, array (native format), URL, CSV data

The above-given Data Visualization Tools can break down data, thereby making it quite easy to understand.

Sameer

Sameer is a writer, entrepreneur and investor. He is passionate about inspiring entrepreneurs and women in business, telling great startup stories, providing readers with actionable insights on startup fundraising, startup marketing and startup non-obviousnesses and generally ranting on things that he thinks should be ranting about all while hoping to impress upon them to bet on themselves (as entrepreneurs) and bet on others (as investors or potential board members or executives or managers) who are really betting on themselves but need the motivation of someone else’s endorsement to get there. Sameer is a writer, entrepreneur and investor. He is passionate about inspiring entrepreneurs and women in business, telling great startup stories, providing readers with actionable insights on startup fundraising, startup marketing and startup non-obviousnesses and generally ranting on things that he thinks should be ranting about all while hoping to impress upon them to bet on themselves (as entrepreneurs) and bet on others (as investors or potential board members or executives or managers) who are really betting on themselves but need the motivation of someone else’s endorsement to get there.

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