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7 Best Data Visualization Tools

Published

2 years ago

The market for data visualisation was projected to be worth $8.85 billion in 2019, as stated in a research published by Fortune Business Insights. At the current compound annual growth rate of 10.2 percent, it is anticipated that the market value would reach $19.20 billion by the year 2027.

The worldwide market for data visualisation is being propelled forward by a number of factors, including the proliferation of smartphones, the increasing usage of the internet, the fast breakthroughs in machine learning, the expanding acceptance of cloud computing technologies, and the Internet of Things.

In addition, the growing trend toward smart manufacturing as well as the ever-expanding usage of visual analytics, information visualisation, and scientific visualisation in businesses of all sizes are other contributing factors to the expansion of the data visualisation market.

What Is Data Visualization?

The process of graphically representing data in the form of maps, charts, sparklines, infographics, heat maps, or statistical graphs is referred to as data visualisation.

Data that is presented using visual components is much simpler to comprehend and examine, which paves the way for the efficient and effective extraction of insights that can be put into action from the data. The results may then be used by relevant stakeholders as a basis for making more effective choices in real time.

The graphical depiction of data is made easier by the use of data visualisation technologies that include support for streaming data, interaction with artificial intelligence, embeddability, collaboration, interactive exploration, and self-service capabilities.

The following is a list of 15 high-quality data visualisation tools that are gaining reputation in the industry due to their excellent performance and user-friendliness.

1. Tableau

Tableau, which is one of the most popular data visualisation tools, provides interactive visualisation solutions to more than 57,000 businesses.

Tableau efficiently creates visualisations and graphics from large datasets that are constantly evolving and are used for applications in artificial intelligence, machine learning, and Big Data. Teradata, SAP, My SQL, Amazon AWS, and Hadoop are some of the advanced databases that Tableau integrates with.

Pros

  • Excellent visualisation capabilities
  • Simple to operate
  • A performance of the highest calibre
  • Allows for connecting with a wide variety of data sources
  • Mobile Responsive
  • Contains a community that is educational

Cons

  • The prices are a little bit on the upper end of the spectrum.
  • Options for report scheduling and auto-refreshing are not yet available.

2. Dundas BI

The data visualisations provided by Dundas BI are extremely customisable, and they include interactive scorecards, maps, gauges, and charts. This facilitates the construction of ad hoc reports that span many pages. Cleaning, examining, manipulating, and modelling large datasets may be made much simpler by using Dundas BI since it gives users complete control over the graphical components used in the process.

Pros

  • Exceptional flexibility
  • Numerous distinct data sources and graphical representations
  • Extraction, presentation, and modification of data are only some of the many built-in functionalities available.

Cons

  • No option for predictive analytics
  • 3D charts not supported

3. JupyteR

Users are able to create and share documents that include visuals, equations, narrative prose, and live code with the assistance of JupyteR, which is a web-based programme that is regarded as one of the best data visualisation tools. The tasks of data cleaning and transformation, statistical modelling, numerical simulation, interactive computing, and machine learning are all well suited to Jupyter.

Pros

  • Rapid prototyping
  • Results that are pleasing to the eye
  • Streamlines the process of sharing data and insights with others

Cons

  • Difficult to work together
  • The process of examining code may on occasion be difficult.

4. Zoho Reports

Zoho Reports, also referred to as Zoho Analytics, is an all-inclusive data visualisation tool that integrates Business Intelligence and online reporting services. This integration enables the rapid creation and sharing of extensive reports in a matter of minutes. Zoho Reports was formerly known as Zoho Analytics. Importing Big Data from key databases and apps is also supported by the high-grade visualisation tool.

Pros

  • Easy production and update of reports with little effort required
  • Contains helpful capabilities such as the scheduling of emails and the sharing of reports
  • There is sufficient space for the data.
  • Quick assistance for customers when needed.

Cons

  • User training needs to be improved
  • The dashboard becomes confusing when there are large volumes of data

5. Google Charts

It is well known that Google Charts, which is programmed using SVG and HTML5, is capable of producing graphical and pictorial data visualisations. Google Charts is one of the leading participants in the market arena for data visualisation. In addition to offering a zoom feature, Google Charts is compatible with older versions of Internet Explorer browser as well as iOS and Android operating systems. This level of compatibility is unique among cross-platform charting solutions.

Pros

  • User-friendly platform
  • Simple to include the data.
  • Graphs of the data that are pleasing to the eye
  • compatibility with items created by Google.

Cons

  • The export function requires fine-tuning
  • Inadequate demonstrations on tools
  • Lacks customization capabilities
  • Network link necessary for visualisation

6. Visual.ly

One of the data visualisation technologies now available on the market is called Visual.ly, and it is well-known for its remarkable distribution network that depicts project results. Visual.ly simplifies the process of data import and outsourcing, even to third parties, thanks to the specialised creative staff it maintains for the purpose of providing data visualisation services.

Pros

  • Excellence in terms of the product’s production
  • Simple to create stunning visuals using.
  • Several link opportunities

7. RAW

RAW, more often referred to as RawGraphs, is compatible with delimited data formats including CSV and TSV files. It bridges the gap between the visual representation of data and spreadsheet analysis. RawGraphs offers solid data security despite the fact that it is a web-based application by including a variety of layouts, both standard and non-traditional, into its interface.

Pros

  • Simple interface
  • Super-fast visual feedback
  • Offers a high-level platform for arranging, keeping, and reading user data
  • Easy-to-use mapping feature
  • Superb readability for visual graphics
  • Excellent scalability option

Cons

  • Non-availability of log scales
  • Not user intuitive

Video Guide

FAQ’s

What are the best data visualization tools?

Google Charts, Tableau, Grafana, Chartist.js, FusionCharts, Datawrapper, Infogram, ChartBlocks, and D3.js are some of the greatest data visualisation tools. Other options include ChartBlocks and D3.js. The finest tools are able to manage massive amounts of data, provide a selection of different ways to visualise the data, and are simple to use.

What are data visualization tools?

Designers now have an easier approach to build visual representations of massive data sets thanks to the availability of tools for data visualisation. Automating the process of making a visualisation makes a designer’s job a great lot simpler when working with data sets that include hundreds of thousands or millions of data points.

What is the easiest data visualization tool to use?

Tableau Public 

Tableau Public is widely regarded as the industry standard for data visualisation, and it is simple to see why this is the case. With the help of this cost-free software, you can generate a wide range of interactive charts that provide stakeholders the ability to investigate the data on their own.

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