Inventory of the most practical big data visualization tools (1/4)

As the saying goes, good: 工欲善其事, its prerequisite! A good tool can help you do more, especially in the big data age, where powerful tools are needed to visualize data in a meaningful way, as well as the interactivity of data; we also need interdisciplinary teams, not individual data scientists, designers or data analysts We need to rethink what we know about data visualizations, and charts and graphs can only pass information on one or two dimensions, so how can they integrate with other dimensions to dig deeper into big data? At this point, we need to rely on the Big Data Visualization (BDV) tool, therefore, the author collects a variety of platforms suitable for various industry charts and reporting tools, these tools are applicable to the net, Java, Flash, HTML5, Flex and other platforms, there are no lack of regular chart reports, Gantt charts, Flowchart, financial chart, industrial chart, pivot table, OLAP Multidimensional Analysis and other chart reports developed. In order to further understand how to choose the appropriate data visualization products, this article will focus on this topic, hoping to be in the selection of enterprises to help. Let's take a look at some of the world's most popular visualization tools.

One, Excel

Excel, as an entry-level tool, is an ideal tool for quickly analyzing data, as well as creating data graphs for internal use, but Excel has a limited range of colors, lines, and styles to choose from, which also means that it is difficult to create a data graph that meets the needs of professional publications and Web sites in Excel.

650) this.width=650; "alt=" Data Visualizer "class=" Img-thumbnail "src=" http://image.evget.com/images/article/2015/ Keshihua01.jpg "/>

Second, Google Chart API

Google Chart provides a perfect way to visualize data, providing a large number of ready-made icon types, from simple line charts to complex hierarchical tree maps. It also has built-in animations and user interaction controls.

650) this.width=650; "alt=" Data Visualizer "class=" Img-thumbnail "src=" http://image.evget.com/images/article/2015/ Keshihua02.jpg "/>

Third, D3

D3 (Data driven Documents) is another JavaScript library that supports SVG rendering. However, D3 can provide a large number of complex chart styles outside of linear and bar charts, such as Voronoi, tree, circular clusters, and word clouds.

650) this.width=650; "alt=" Data Visualizer "class=" Img-thumbnail "src=" http://image.evget.com/images/article/2015/ Keshihua03.jpg "/>

Four, R

The R language is mainly used for statistical analysis, drawing of the language and operating environment. Although R is primarily used for statistical analysis or development of statistical-related software, it is also used as a matrix calculation. Its analysis speed is comparable to gnuoctave even business software matlab.

650) this.width=650; "alt=" Data Visualizer "class=" Img-thumbnail "src=" http://image.evget.com/images/article/2015/ Keshihua04.jpg "/>

Wu, visual.ly

Visual.ly is the most popular choice if you need to make infographic, not just data visualization.

650) this.width=650; "alt=" Data Visualizer "class=" Img-thumbnail "src=" http://image.evget.com/images/article/2015/ Keshihua05.jpg "/>

Liu, processing

Processing is a signature tool for data visualization. You just need to write some simple code and then compile it into Java. The processing can be run on almost any platform.

650) this.width=650; "alt=" Data Visualizer "class=" Img-thumbnail "src=" http://image.evget.com/images/article/2015/ Keshihua06.jpg "/>

Seven, leaflet

Leaflet is an open source JavaScript library for developing mobile-friendly interactive maps.

650) this.width=650; "alt=" Data Visualizer "class=" Img-thumbnail "src=" http://image.evget.com/images/article/2015/ Keshihua07.jpg "/>

Eight, Openlayers

Openlayers is probably the most reliable of all map libraries. Although the documentation comments are not perfect. The learning curve is steep, but for specific tasks, openlayers can provide special tools that are not available in other map libraries.

650) this.width=650; "alt=" Data Visualizer "class=" Img-thumbnail "src=" http://image.evget.com/images/article/2015/ Keshihua08.jpg "/>

Nine, Polymaps

Polymaps is a map library that is primarily intended for users of data visualizations. Polymaps is unique in the area of map styling, like a selector for CSS style sheets.

650) this.width=650; "alt=" Data Visualizer "class=" Img-thumbnail "src=" http://image.evget.com/images/article/2015/ Keshihua09.jpg "/>

10, charting Fonts

Charting fonts is the integration of symbol fonts with fonts (turning symbols into fonts), creating beautiful vectorization icons.

650) this.width=650; "alt=" Data Visualizer "class=" Img-thumbnail "src=" http://image.evget.com/images/article/2015/ Keshihua10.jpg "/>

11, Gephi

Gephi is a tool for visualizing the social Atlas data, not only to handle large-scale datasets, but also to Gephi as a Visual Web discovery platform for building dynamic, hierarchical data graphs.

650) this.width=650; "alt=" Data Visualizer "class=" Img-thumbnail "src=" http://image.evget.com/images/article/2015/ Keshihua11.jpg "/>

12, Cartodb

Cartodb is a non-missed site, you can use Cartodb very easily linked tabular data and maps, which CARTODB is the best choice.

650) this.width=650; "alt=" Data Visualizer "class=" Img-thumbnail "src=" http://image.evget.com/images/article/2015/ Keshihua12.jpg "/>

13, Weka

Weka is an excellent tool for classifying and clustering large amounts of data based on attributes, Weka is not only a powerful tool for data analysis, but also generates some simple graphs.

650) this.width=650; "alt=" Data Visualizer "class=" Img-thumbnail "src=" http://image.evget.com/images/article/2015/ Keshihua13.jpg "/>

14, Nodebox

Nodebox is an application that creates two-dimensional graphics and visualizations on OS X, and you need to understand the Python program, Nodebox is similar to processing, but has no processing interactive functionality.

650) this.width=650; "alt=" Data Visualizer "class=" Img-thumbnail "src=" http://image.evget.com/images/article/2015/ Keshihua14.jpg "/>

This article refer to from Codegeekz reprint please specify reproduced from the HPE control net

Inventory of the most practical big data visualization tools (1/4)