The Top 7 Data Visualization Tools for 2018

1. Tableau

Tableau boasts a customer base of more than 57,000 active accounts, throughout different industries. Particularly, the enormous and very quickly changing data that is used in the typical big data operations can be handled efficiently by this software. Tableau incorporates an array of advanced database solutions like Amazon AWS, SAP, Teradata, etc., which arms it well enough to deal with artificial intelligence and machine-learning applications. Tableau is proven very effective to produce visuals and graphics that make data easily understandable.

2. FusionCharts

FusionCharts is a JavaScript-based visualization tool capable of creating over 90 different types of charts. It incorporates numerous platforms and frameworks, offering much required flexibility. One of its most unique features is the live example templates. Users do not need to build their visualization from scratch; rather, they choose their preferred template and plug their own data sources as required. This reduced effort has made FusionCharts a chart topper in the paid-for market.

3. Datawrapper

With its clean, minimal interface, Datawrapper is very user friendly. You can simply upload CSV data and produce plain charts and maps, which are can be easily integrated into reports. This tool has been gaining popularity especially in media organizations that employ it to produce statistics and charts that are suitable to present to common folks.

4. Highcharts

Highcharts is the go-to when quick and flexible solutions are needed at hand. It requires a minimal amount of specialist data visualization training for the user to access it. The feature that sets it apart from its competitors is its cross-browser support, which means anyone is able to access and run the visualizations, which is unusual for visualization tools.

5. TeamMate Analytics

TeamMate Analytics incorporates over 150 audit tools. It runs on top of Excel, which allows users to easily analyze data and produce significant visualization without requiring much specialization training. It offers a free trial, and its data visualization features include analytics, filtered views, relational display and simulation models.

6. Sisense

Sisense has a simple, uber-friendly drag-and-drop interface, which is able to create more complex and layered charts and graphics, along with interactive visuals, without requiring much effort. It incorporates a full stack analytics platform. With Sisense, it is possible to gather numerous data sources into one single, easily accessible repository, where it can be reviewed instantly through dashboards, regardless of whether it is a big data-sized set. These dashboards can then be sent across different organizations enabling employees, even the ones who are nontechnical-based, to find solutions to their problems.

7. Plotly

For JavaScript, Plotly is built on the base of the open source D3.js visualization libraries. It can produce more polished and complicated visualizations as it integrates Python, R, Matlab and other similar analytics-related programming languages. The software is loaded with a user-friendly support system and incorporates inbuilt support for APIs like Salesforce.

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