How to quickly make high-end, dynamic data charts? Let's take a look at these five big data visualization artifacts!

What is big data visualization?

it's actually really easy. Big data visualization refers to transforming huge and complex big data collections into intuitive, easy-to-understand and analyze image displays through visual methods such as charts, graphs, and maps .

Its purpose is to help people better understand and interpret big data, and discover patterns, trends, and associations in the data to support decision-making and insights.

Big data visualization can transform abstract data into a visual form, enabling people to intuitively perceive the scale, distribution and relationship of data.

By using different charts and graphs, you can better display the characteristics and changes of the data, such as histograms, line charts, pie charts, scatter plots, etc.

In addition, big data visualization can also combine geographic information system (GIS) technology to associate data with geographic location and display the spatial distribution and geographic relationship of data in the form of a map.

The benefits of big data visualization include:

  • Provide intuitive data display
  • Discover hidden patterns and trends
  • Support decision and insight
  • improve communication
  • ……

What are the easy-to-use big data visualization tools? Here are some visualization tools that our company usually uses——

1. Visual report class - Jiandaoyun

It is more suitable for data analysis of various business ends in the workplace, and can be used online, replacing the lazy artifact of Excel!

Visual template >> https://www.jiandaoyun.com

Jiandaoyun is a zero-code lightweight application building platform that provides rich functional modules, including but not limited to form tools, process tools, dashboards, etc. Among them, the dashboard tool provides excellent data visualization functions, has multi-dimensional chart types, supports interrelationships between tables, and can customize the appearance of comprehensive reports, and is widely used in fields such as production data analysis and statistical data summary.

Most importantly, due to the characteristics of its zero-code platform , the operation is simpler, and even ordinary people who do not understand code can create visual reports by dragging and dropping.

Kanban like the above is very complicated to use in excel, but using Jiandaoyun as a visual Kanban can easily achieve the effect of four or two.

Taking the Jiandao Cloud dashboard as an example, various styles of charts are provided in the dashboard:

  • You can view the details and summary of form data through detailed tables, pivot tables, etc.;
  • Data can be processed through columns, polylines, graphs, radar charts, etc., and the results of data development trends, classification comparisons, etc. are displayed;
  • Use pie charts to reflect the proportion of each part of the data;
  • Understand the progress of the project through the Gantt chart ;
  • Set data modification permissions through data management tables and calendar components .

2. Data visualization display class - FineBI

A new generation of self-service big data analysis BI software, a well-known brand of self-service BI in China

Official website>>https://sem.fanruan.com

This is currently one of the most widely used self-service BI tools on the market . It is similar to foreign BI analysis tools such as Tableau, but FineBI can better solve the situation of domestic enterprises in terms of coordination and data permissions.

In addition to providing chart analysis, the dashboard can also allow users to flexibly analyze the layout of data charts, construct the thinking logic of data charts, and then achieve the purpose of effective communication or data reporting.

In addition to the basic icon types, FineBI also supports calendar charts, kpi indicator cards, heat maps, etc.

The powerful data processing engine and excellent chart rendering mechanism can meet the requirements of higher data volume, and the front-end display data volume can reach millions.

Support facet analysis, intelligent chart recommendation, graphic combination and other functions.

3. Chart beautification - chart show

Online charting software, but more focused on data visualization

Official website>>www.tubiaoxiu.com

The visualization effect of the chart show is also excellent , and many exquisite data charts and data analysis reports can be produced.

It provides more than ten types of visual charts, such as chord diagram, rose diagram, and scatter diagram, and also provides data analysis report templates, which is quite considerate.

Select the template you want to make, and just edit the text and chart content on the basis of the template.

The chart show focuses more on the data visualization function, provides rich illustrations, and can directly apply templates to realize data visualization.

4. Data Map Class——Power Map 2016

Can be used to view information in new ways. With Power Maps, discover (two-dimensional) insights in traditional two-dimensional tables and charts.

5. Data development class——Echart

Baidu's JavaScript-based open source visual chart library, designed for visualization of large amounts of data

Official website>>https://echarts.apache.org

Baidu produces a visual chart library, which can display data in real time. It can draw 200,000 points on a two-dimensional plane, which is powerful. At the same time, there are many chart types to choose from, which can basically meet the requirements of most data visualization.

It is an open-source data visualization tool that requires users to have a code base. Although there are certain thresholds, you only need to fill in the corresponding data in the roommate code framework on the chart creation page.

Welfare broadcasting! ! !

If you want to know more about the process of data visualization design and how to use data analysis tools ,

The data analysis and visualization guide (fanruan.com) created by Jiandao Mica Company Fanruan Software is a must-see! ! !

In the data analysis and visualization guide, it provides guidance on the whole process of data analysis, from visual process design to data analysis method explanation and data application practice.

There are also a large number of copyright-free materials waiting for you to receive for free:

  • Dashboard background image
  • Headline background image
  • Component background
  • Component title background

The above, I hope to help you!

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Origin blog.csdn.net/BeWorkingMan/article/details/132082415