Visualisation Tools

Visualisation Tools

Data visualization tools are used to help people understand the essence of data by presenting it to the viewer in a visual format. The traditional text-based date works just fine, but the viewers may fail to notice any patterns, trends, or correlations in the data. But in a visual format these will not go undetected; additionally, it helps the viewer grasp the concept quickly and easily. The visualization tools enable the presentation of data in such a visual format. With the aid of technology and its tools, data is being turned into charts, graphs, and the like; this interactive visualization changes the way data is perceived and processed.


Visualisation tools like charts or graphs help us visualise large amounts of complex data because that is how the human brain processes information with maximum efficiency. This is far better than text or spreadsheets. Data visualisation tools enable quick and easy ways to convey concepts in a simpler manner, and you can also experiment with different scenarios by making slight adjustments.

Data visualization can also:

  • Highlight areas that have to be paid more attention to, or those that need improvement.
  • Point out which factors influence customer behavior.
  • Help us match products to the places they belong to
  • Predict sales volumes.

The various data visualisation tools include Charts, Tableau, Raw, Dygraphs, Zingcharts, InstantAtlas, Timeline, Exhibit, Modest Maps, Leaflet, WolframAlpha, Visual.Ly, Visualize freeze, Better World Flux, FusionCharts, jqPlot, Dipity, D3.js, JavaScript InfoVis Toolkit, jpGraph, Highcharts, Google Charts, Excel, CSV/JSON, Crossfilter, Tangle, Polymaps, OpenLayers, Kartograph, CartoDB, Processing, NodeBox, R, Weka, Gephi, iCharts, Flot,

jQuery Visualize, among others. Some of the most commonly used tools are briefed below.

Charts: The open source library Chart.js has six chart types. It is one of the perfect and most used data visualisation tools.

Tableau: Tableau is a popular data visualization tool and it is completely free. It has a range of graphs, charts, maps, etc. Here one can also collaborate with other team members, thus, helps in quick project turnaround.

Raw: Raw allows its users to create vector-based data visualizations. You can open, customize, download, and modify these visualisations. Data can also be uploaded from apps to computers, exported as an SVG or PNG and embedded in your webpage.

Dygraphs: It is an open source JavaScript charting library, which helps its users explore and interpret dense data sets. The main advantage is that it is highly customisable.

ZingChart: It is a JavaScript charting library and feature-rich API. It offers over 100 chart types to choose from. It lets its users build interactive Flash or HTML5 charts.

InstantAtlas: It is commonly used data visualisation tool for mapping.

Timeline: Timelines helps convey a lot of information in a limited space. This widget provides an interactive timeline which response to the users. Each element in the timeline can be clicked to reveal more in-depth information. Thus, the user has a bird’s eye view but will be able to see even the finest details if he wishes to.

Visualize Free: Using this, you can either build your datasets or use the publicly available datasets and create interactive visualizations to illustrate the data.