Data analysis — Rethinking visualization

Time:2020-11-4

1、 What is big data visualization and its application

1. What is big data visualization

It is the theory, method and technology of transforming data or information into graphics or images and displaying them on the screen by using computer graphics and image processing technology.

2. Generalized visualization

Data analysis -- Rethinking visualization

3. Visualization Science

The purpose of scientific visualization is to explain scientific data in a graphical way. The visualization of main three-dimensional phenomena focuses on the realistic rendering of volume, surface and light source. It enables scientists to understand, explain and collect laws from data. Such as physics, chemistry, meteorology and climate, medicine, biology, etc.

Data analysis -- Rethinking visualization

4. Information visualization

Transforming abstract data or information into a kind of visual graph can enhance the user’s cognition of abstract data. Histogram, trend chart, flow chart and tree chart are all information visualization.

Data analysis -- Rethinking visualization

5. Visual analysis

With the development of science visualization and information visualization, a new field is formed, which focuses on analysis and reasoning through visual interactive interface.

Data analysis -- Rethinking visualization

6. Visualization in narrow sense

Data visualization in narrow sense and partial information visualization. According to the difference of data type and nature, it is often divided into the following types.

Data analysis -- Rethinking visualization

7. Exhibition class

Data analysis -- Rethinking visualization

8. Monitoring class

Data analysis -- Rethinking visualization

2、 Why data visualization

1. Concretization of abstract information

Data analysis -- Rethinking visualization

3、 How to design visualization

1、

Design knowledge for large screen visualization design

Data analysis -- Rethinking visualization

2. Visual large screen project process

Data analysis -- Rethinking visualization

Data analysis -- Rethinking visualization

3. Classification and characteristics of large screen

Data analysis -- Rethinking visualization

4. Hardware and usage environment

Data analysis -- Rethinking visualization

Data analysis -- Rethinking visualization

Data analysis -- Rethinking visualization

5. Two dimensional chart design

Data analysis -- Rethinking visualization

Data analysis -- Rethinking visualization

Data analysis -- Rethinking visualization

Data analysis -- Rethinking visualization

Data analysis -- Rethinking visualization

Data analysis -- Rethinking visualization

Data analysis -- Rethinking visualization

Data analysis -- Rethinking visualization

Data analysis -- Rethinking visualization

Data analysis -- Rethinking visualization

Data analysis -- Rethinking visualization

Data analysis -- Rethinking visualization

Data analysis -- Rethinking visualization

Data analysis -- Rethinking visualization

Data analysis -- Rethinking visualization

Data analysis -- Rethinking visualization

Data analysis -- Rethinking visualization

Data analysis -- Rethinking visualization

Data analysis -- Rethinking visualization

Data analysis -- Rethinking visualization

Data analysis -- Rethinking visualization

Data analysis -- Rethinking visualization

Data analysis -- Rethinking visualization

Data analysis -- Rethinking visualization

6. Three dimensional chart design

Data analysis -- Rethinking visualization

Data analysis -- Rethinking visualization

Data analysis -- Rethinking visualization

Data analysis -- Rethinking visualization

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