Commonly used data visualization tools recommended

In the era of big data, data on the importance of self-evident enterprises and organizations, businesses and organizations also demand for data becomes numerous and diverse. Therefore, followed by a wide variety of products to provide data analysis services, data visualization tools which would have to mention these tools, such as: we often excel tools; chart type echarts; intelligent analysis class tableau, Wing Hung BI; programming python class and so on. Then the face of so many data visualization tools, different development groups should be what kind of criteria to screen best suits their data visualization tools? This article will introduce one by one these types of tools, recommended several commonly used data visualization tool, developed for different people choose to use.
1. Office software like
Excel tool
Excel data analysis tools can do both, you can draw diagrams, regarded as a basic data visualization tool, much like office workers, as one of the essential office software, I believe we are very familiar, here I am not too much into details.
Commonly used data visualization tools recommended

2. purely visual chart type: For developers and engineers
Echarts
Echarts this data visualization tool provides convenience for the crowd of software developers and engineers to the specific needs of this group, Eharts as a free open-source software, developers can use directly in the web end open source graph generation module, 3D dynamic mapping. The disadvantage is that you can only apply a template, not creative freedom.
Commonly used data visualization tools recommended

3. Visual Intelligent analysis category: for BI engineers and data analysts
Tableau
Tableau is a foreign business intelligence data visualization tool, almost every data analyst will be referred to Tableau. It has a versatile built-in analysis graphs and some data analysis model. Rapid data analysis, and the analysis of business data service personnel independent, real-time query and data analysis.
Commonly used data visualization tools recommended

BI Wing Hung
Wing Hung Technology was established in 2012, we have focused on providing flexible and easy to use big data application solutions for the enterprise focused on ten billion the amount of data large enterprises and vertical industries SMEs, to become a leading big data-stop solutions provider. Agile BI for four consecutive years won the first place.
Wing Hung Technology Z-Suite one-stop platform for big data analysis, comprehensive coverage of all aspects of the data analysis process, including data collection, cleansing, consolidation, storage, computation, modeling, training, presentation, collaboration, so that users can complete the whole process of data analysis tasks on a single platform.
Built-second response, fast processing of data MPP data marts, rich charting component, the drag mode quickly to data visualization. The Wing Hung Z-Suite data visualization tool is not only a professional data analyst data platform, but also business people insight into the problem, decision support system decision-making.
Commonly used data visualization tools recommended

4. Data Mining programming classes: For technical data analysts and data scientists
Python and R programming language is typical of the type of data visualization tools, such tools requires relatively high, if you want to design your own set of interactive visual charts, you must master a programming language itself.
Python
Commonly used data visualization tools recommended
R language
Commonly used data visualization tools recommended

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