20 Large data Visualization tools reviews

&http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp; There are a lot of ways to learn to use data visualization today, and you can track some expert blogs, but more importantly, practice/hands-on, you have to have a general idea of the data visualization tools available today. Here are 20 big data visualization tools that Netmagzine lists, whether you're preparing a simple chart or a complex atlas or an information map that will meet your needs. More beautifully, most of these tools are free.

Part I: Entry level Tools

1.Excel

Excel is not a powerful graphical feature, but Excel is an ideal tool for analyzing data, and the diagram above is a thermal map generated by Excel

As an entry-level tool, Excel is the ideal tool for analyzing data quickly, as well as creating data graphs for internal use, but Excel has a limited range of choices for colors, lines, and styles, which means it's hard to make a data map that meets the needs of professional publications and Web sites in Excel. But as an efficient internal communication tool, Excel should be one of the necessary tools in your treasure chest.

2.csv/json

CSV (comma-separated values) and JSON (JavaScript object annotations) are common data formats, although they are not really visual tools. You have to understand their structure and know how to import or export data from these files. All of the data visualization tools described below support at least one of the formats in CSV and JSON.

Part II: Online Data visualization tools

3.Google Chart API

The Google Chart API tool Set cancels the static picture feature, and currently only provides dynamic charting tools. Can be used in all browsers that support Svg\canvas and VML, but one big problem with Google Chart is that charts are generated on the client side, which means that devices that do not support JavaScript will not be available, and cannot be used offline or save results in other formats. The previous static picture does not have this problem. Despite the above problems, it is undeniable that Google Chart API is extremely rich in functionality, if there is no special customization needs, or the Google visual style of resistance, then you can start from Google Chart.

4.Flot

Flot is an excellent wireframe graphics library that supports all browsers supporting canvas (currently popular browsers such as Firefox, IE, Chrome, etc.).

5.raphaël

Raphaël is the JavaScript library that creates charts and graphs, and the biggest difference from other libraries is that the output format is limited to SVG and VML. SVG is a vector format that works well at any resolution.

6.d3

D3 (Data driven Documents) is another JavaScript library that supports SVG rendering. But D3 can provide a number of complex chart styles beyond linear and bar charts, such as Voronoi, tree, round clusters, and word clouds. While D3 can provide very fancy interactive charts, the one thing to keep in mind when choosing a data visualization tool is to know when to keep it simple.

7.visual.ly

If you need to make an information map, not just data visualization, there are plenty of tools available now. Visual.ly is the most popular choice. Although the main positioning of visual.ly is: "Online marketplace for information graphic designers", but also provides a large number of information map templates. Although there are many limitations to the function, visual.ly is definitely a place to inspire your inspiration.

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