Make your data sing. We look at 22 free tools that will help you use visualization and analysis to turn your data into informative, engaging graphics. At the lower end are simpler and even free data visualization tools dedicated to building infographics rather than. This self-service software also enables the use of data outside the company.

1. Free Molecular Visualization Software
2. Free 3d Visualization Software
3. Free Virtualization Software Windows

1. Autodesk offers virtually its entire software line free for non-commercial use to 'students and community members.' However, you don't have to be enrolled in a school to download them. If you want to work in the industry eventually, knowing Autodesk software is a valuable skill, so this is a highly recommended path.
2. Data Visualization Tools: Compare leading data visualization tools to find the right solution for your business. Free demos, price quotes and reviews!
3. Free Data Visualization Tools Candela. As an open-source suite of web visualization components that make use of the Python language, Candela emphasizes scalable, rich visualizations created with a normalized API for use in real-world data science situations.
4. You Get To Try Our Free Data Visualization Software: Maptive is data visualization on Google Maps at its most useful — a portal into location based insights that will allow you to hear the music rather than the noise. We offer a free trial that comes to you at no risk. No risk means we don’t even take your credit card details.
5. What are the Best Free Proprietary Data Visualization Software: Tableau Public, Visualize Free, Kibana, Google Fusion Tables, AnyChart, Amira, DataWrangler, Google Public Data Explorer, Instantatlas are some of the Top Free Proprietary Data Visualization Software.

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Big Data and the ever-growing access we have to more information is the driving force behind artificial intelligence and the wave of technological change sweeping across all industries.

But all the data in the world is useless – in fact it can become a liability – if you can’t understand it. Data visualization is about how to present your data, to the right people, at the right time, in order to enable them to gain insights most effectively.

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Luckily visualization solutions are evolving as rapidly as the rest of the tech stack. Charts, videos, infographics and at the cutting edge even virtual reality and augmented reality (VR & AR) presentations offer increasingly engaging and intuitive channels of communication.

Here’s my run-down of some of the best, most popular or most innovative data visualization tools available today. These are all paid-for (although they all offer free trials or personal-use licences). Look out for another post soon on completely free and open source alternatives.

Tableau

Tableau is often regarded as the grand master of data visualization software and for good reason. Tableau has a very large customer base of 57,000+ accounts across many industries due to its simplicity of use and ability to produce interactive visualizations far beyond those provided by general BI solutions. It is particularly well suited to handling the huge and very fast-changing datasets which are used in Big Data operations, including artificial intelligence and machine learning applications, thanks to integration with a large number of advanced database solutions including Hadoop, Amazon AWS, My SQL, SAP and Teradata. Extensive research and testing has gone into enabling Tableau to create graphics and visualizations as efficiently as possible, and to make them easy for humans to understand.

Qlikview

Qlik with their Qlikview tool is the other major player in this space and Tableau’s biggest competitor. The vendor has over 40,000 customer accounts across over 100 countries, and those that use it frequently cite its highly customizable setup and wide feature range as a key advantage. This however can mean that it takes more time to get to grips with and use it to its full potential. In addition to its data visualization capabilities Qlikview offers powerful business intelligence, analytics and enterprise reporting capabilities and I particularly like the clean and clutter-free user interface. Qlikview is commonly used alongside its sister package, Qliksense, which handles data exploration and discovery. There is also a strong community and there are plenty of third-party resources available online to help new users understand how to integrate it in their projects.

FusionCharts

This is a very widely-used, JavaScript-based charting and visualization package that has established itself as one of the leaders in the paid-for market. It can produce 90 different chart types and integrates with a large number of platforms and frameworks giving a great deal of flexibility. One feature that has helped make FusionCharts very popular is that rather than having to start each new visualization from scratch, users can pick from a range of “live” example templates, simply plugging in their own data sources as needed.

Highcharts

Like FusionCharts this also requires a licence for commercial use, although it can be used freely as a trial, non-commercial or for personal use. Its website claims that it is used by 72 of the world’s 100 largest companies and it is often chosen when a fast and flexible solution must be rolled out, with a minimum need for specialist data visualization training before it can be put to work. A key to its success has been its focus on cross-browser support, meaning anyone can view and run its interactive visualizations, which is not always true with newer platforms.

Datawrapper

Free Molecular Visualization Software

Datawrapper is increasingly becoming a popular choice, particularly among media organizations which frequently use it to create charts and present statistics. It has a simple, clear interface that makes it very easy to upload csv data and create straightforward charts, and also maps, that can quickly be embedded into reports.

Free 3d Visualization Software

Plotly

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

Sisense

Sisense provides a full stack analytics platform but 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 of hassle. It enables multiple sources of data to be gathered into one easily accessed repositories where it can be queried through dashboards instantaneously, even across Big Data-sized sets. Dashboards can then be shared across organizations ensuring even non technically-minded staff can find the answers they need to their problems.

Free Virtualization Software Windows

I will be updating this list at least on an annual basis so let me know if you know of any other great tool you would include here.

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Big Data and the ever-growing access we have to more information is the driving force behind artificial intelligence and the wave of technological change sweeping across all industries.

But all the data in the world is useless – in fact it can become a liability – if you can’t understand it. Data visualization is about how to present your data, to the right people, at the right time, in order to enable them to gain insights most effectively.

Luckily visualization solutions are evolving as rapidly as the rest of the tech stack. Charts, videos, infographics and at the cutting edge even virtual reality and augmented reality (VR & AR) presentations offer increasingly engaging and intuitive channels of communication.

Here’s my run-down of some of the best, most popular or most innovative data visualization tools available today. These are all paid-for (although they all offer free trials or personal-use licences). Look out for another post soon on completely free and open source alternatives.

Tableau is often regarded as the grand master of data visualization software and for good reason. Tableau has a very large customer base of 57,000+ accounts across many industries due to its simplicity of use and ability to produce interactive visualizations far beyond those provided by general BI solutions. It is particularly well suited to handling the huge and very fast-changing datasets which are used in Big Data operations, including artificial intelligence and machine learning applications, thanks to integration with a large number of advanced database solutions including Hadoop, Amazon AWS, My SQL, SAP and Teradata. Extensive research and testing has gone into enabling Tableau to create graphics and visualizations as efficiently as possible, and to make them easy for humans to understand.

Qlik with their Qlikview tool is the other major player in this space and Tableau’s biggest competitor. The vendor has over 40,000 customer accounts across over 100 countries, and those that use it frequently cite its highly customizable setup and wide feature range as a key advantage. This however can mean that it takes more time to get to grips with and use it to its full potential. In addition to its data visualization capabilities Qlikview offers powerful business intelligence, analytics and enterprise reporting capabilities and I particularly like the clean and clutter-free user interface. Qlikview is commonly used alongside its sister package, Qliksense, which handles data exploration and discovery. There is also a strong community and there are plenty of third-party resources available online to help new users understand how to integrate it in their projects.

This is a very widely-used, JavaScript-based charting and visualization package that has established itself as one of the leaders in the paid-for market. It can produce 90 different chart types and integrates with a large number of platforms and frameworks giving a great deal of flexibility. One feature that has helped make FusionCharts very popular is that rather than having to start each new visualization from scratch, users can pick from a range of “live” example templates, simply plugging in their own data sources as needed.

Like FusionCharts this also requires a licence for commercial use, although it can be used freely as a trial, non-commercial or for personal use. Its website claims that it is used by 72 of the world’s 100 largest companies and it is often chosen when a fast and flexible solution must be rolled out, with a minimum need for specialist data visualization training before it can be put to work. A key to its success has been its focus on cross-browser support, meaning anyone can view and run its interactive visualizations, which is not always true with newer platforms.

Datawrapper is increasingly becoming a popular choice, particularly among media organizations which frequently use it to create charts and present statistics. It has a simple, clear interface that makes it very easy to upload csv data and create straightforward charts, and also maps, that can quickly be embedded into reports.

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

Sisense provides a full stack analytics platform but 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 of hassle. It enables multiple sources of data to be gathered into one easily accessed repositories where it can be queried through dashboards instantaneously, even across Big Data-sized sets. Dashboards can then be shared across organizations ensuring even non technically-minded staff can find the answers they need to their problems. Recover deleted file windows 10.

I will be updating this list at least on an annual basis so let me know if you know of any other great tool you would include here.