8 Best Data Visualization Tools of 2017

Audio visualization is simply the presentation of data in a visual form. It would include the use of specific mathematical diagrams which aid in a deep understanding of the concept. There are plenty of data visualization tools that have been made over time. Every year there is something new made or an improvement of a certain version, all this in the bid to make data visualization simpler and more appealing. Below we recognize some of the best data visualization tools in 2017.

1. Tableau

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Tableau can be regarded as the grand master of data visualization software. Tableau has accumulated a very large customer base of more than 57,000 accounts as per mid-2017 across many industries which can be attributed to its simplicity of use and its remarkable ability to produce interactive visualizations output which is far beyond those provided by many other data visualization software solutions.

It is particularly suited to handling huge and fast-changing data which are often used in Big Data operations. They include machine learning applications and artificial intelligence. All this is possible thanks to the integration with a huge number of advanced database solutions which include Hadoop, SAP, My SQL Amazon AWS and Teradata.

Scientific extensive research and testing have been undertaken with the aim of enabling Tableau to create graphics and visualizations effects that are as efficient as possible, and most importantly to make them easy for human use and understanding.

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2. QlikView

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Tableau’s biggest competitor comes in second with incredible features that come close to matching up to Tableau. These are very worthy competitors.

With over 40,000 customer accounts spread across over 100 countries, it boasts of amazing data visualization output that is somewhat automated requiring only a bit of human interaction in producing the data visuals. Those that use it frequently have cited its unique highly customizable setup with a wide range of features as a key advantage. It sounds very pleasant to use, this can, however, mean that it takes a user more time to get a grip and use it to its full potential.

Besides its data visualization capabilities, this software offers powerful business intelligence, enterprise and analytics reporting capabilities with a clean and clutter-free user interface. The software QlikView is mostly used alongside its ‘sister’ package, Qliksense. The software Olikensen handles data exploration and discovery. In case of support, there is also a strong community standby to assist and there are plenty of third-party resources made available online that helps new users comprehend how to integrate it into their projects.

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3. FusionCharts

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FusionCharts is a widely-used, JavaScript-based data charting and visualization software package that has established itself as one of the leaders in its market. With one set of data entry, it can produce 90 different chart types and at the same time integrate with a huge number of frameworks and platforms thus giving the user a great deal of flexibility.

One useful feature that makes FusionCharts very popular is that users don’t have to start each new visualization from scratch, instead, they can simply pick from a wide range of “live” example templates available by simply plugging in their data sources as needed.

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4. Highcharts

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Just like FusionCharts this also requires a license for commercial use, although it can be used freely as a trial, non-commercial or for personal use. Its site claims that it is used by 72 of the world’s 100 largest organizations and it’s often chosen when fast and flexible solution need to be rolled out, with the smallest need for specialist data visualization training before it can be put to work.

One of the main keys to its success has been its focus on cross-browser support, this means anyone can view and run its interactive visualizations, of which is not always true with newer platforms.

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5. DataWrapper

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It is mainly used by media organizations who frequently use it to create charts and present statistics. It has increasingly become a popular choice because of its simple, clear interface that makes it very easy to upload CSV data and create straightforward charts, and maps, that can be quickly embedded into reports.

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6. Plotly

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Thanks to its integration with analytics-oriented programming languages such as Python, R, and Matlab, Plotly enables it, users, to get more complex and sophisticated visualizations. It is constructed on top of the open source d3.js visualization libraries for JavaScript, but this commercial package (comes with a free non-commercial license available) adds layers of user-friendliness and support as well as inbuilt support for APIs such as Salesforce.

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7. Sisense

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Its visualization capabilities provide a simple-to-use drag and drop interface which allow charts and more complex graphics, as well as interactive visualizations, to be created with a minimum inconvenience. It also provides a full stack analytics platform. It enables multiple sources of data to be gathered into one easily accessed repositories where it can be queried through dashboards swiftly, even across Big Data-sized sets. Dashboards can then be shared across organizations ensuring even technically challenged staff can find the answers they need to their problems.

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8. D3.js (Data-Driven Documents)

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D3.js is among the first names that stand out when it comes to Data Visualization Software. It uses HTML, SVG, and CSS to generate some outstanding charts and diagrams. If you can picture any visualization, then you can bring it to life with D3. It has amazing features to explore, very interactive user interface and produces beautiful results. Most importantly it’s free and open-source.

It doesn’t get shipped with pre-built charts, however, it has a nice gallery that showcases what D3 is capable of. There are two main concerns with D3.js, that is: it has a very steep learning curve, it is also compatible only with the current/modern browsers, that is IE 9+. Therefore chose to use it only when you have enough time in hands and when you are not concerned about opening your charts on older browsers.

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Conclusion

Data presentation is key in many areas today. Projects are presented easily and made to look more appealing. Complex data are portrayed in mathematical diagrams which become easier to explain and comprehend. With a vast range of data visualization softwares, data to graphical presentation has been made easier. You can select any software that works for you and your machine using the simple guide given above. It is best to select one that is not only compatible with your device and easy to use but also one that can serve your final purpose.

Rinkesh Kukreja

Rinkesh Kukreja is very passionate about environmentalism, technology, cloud computing and latest gadgets. He loves to write on these topics and has received accolades from various people.

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