当前位置:网站首页>September 3, 2021 visual notes
September 3, 2021 visual notes
2022-06-13 01:18:00 【NI3E】
Calm and fearless , Brave and persistent .

When implementing a data visualization, you should pay attention to :
" Why collect data ? What's interesting ? What stories can data tell ?"
For data , Need to be adequate Understand the data . secondly , Visualization is Task driven , Data visualization is a tool , The goal is to serve people . When you show it , The information conveyed by the data needs to be accurately displayed .
The visual process can be simplified to : obtain -- analysis -- Filter -- mining -- describe -- modification -- Interaction .

Basic concepts
Scientific visualization (Scientific Visualization)、 Information visualization (Information Visualization) And visual analysis (Visual Analytics) The three disciplines are often seen as the three main branches of Visualization . These three branches are integrated to form a new discipline “ Data visualization ”, Is a new starting point in the field of visualization .——《 Data visualization 》
1. Scientific visualization scientific visualization

Data processing + Graph drawing .

2. Information visualization Information visualization

There are two main forms of information visualization : Visualization attempts and visualization systems .

3. Visual analysis Visual Analytics
data -->① Interactive visualization methods ② Automatic data mining method --> knowledge

※ Core competencies include :1- Data representation and transformation 2- Data visualization 3- User interaction
· The input data needs to be converted into a format convenient for the computer to process .
· Choose the right encoding method from a large number of rendering methods .
Visual design
Visual design can be simplified into four levels as shown in the figure . There is no strict order of the four levels .

among , The third layer is the core of the design .
data
Common data classification :
1. Category data : A class of objects .
2. Ordered data : Represents the order relationship between objects . There is no way to compare relative differences quantitatively .
3. Interval data : Get a quantitative comparison between objects . Be careful : There are only relative differences , There is no absolute difference .
4. Ratio data : Proportional relationship between values .
Different data types --> Different operators , Different set operations , Different statistical calculations ……
Basic chart
( Basic visual charts ).
1 Raw data mapping . Process raw data graph . Including histogram, pie chart, histogram and scatter chart ……
2 Simple statistical plotting . Box picture https://baike.baidu.com/item/%E7%9B%92%E5%BD%A2%E5%9B%BE/2258542.
3 Multi view Coordination Association . Multi view Coordination Association combines different types of drawings , Each drawing unit can show the properties of some aspect of data , And usually allows users to conduct interactive analysis , Improve users' pattern recognition ability of data .

Design
Designing and making a visual view includes three main steps :① Identify data to graphic elements ( That is, the mark ) And visual channel mapping ② View selection and user interaction control design ③ Data filtering , That is, the results need to maintain a reasonable information density .
Visualization should always aim at serving users . First, we need to consider the semantics of the data and the personality characteristics of the users .
Common coding methods in basic data types are as follows . When the data is not a basic data type , You can consider combining .

· Interaction : Complex data requires more sophisticated means of presentation , In order to facilitate users' access to information , Need to provide good interaction .
· Name and classify each view .
· Animation and transition are common techniques in visualization .
Research
· Research Based on data types : A one-dimensional 、 A two-dimensional 、 The three dimensional 、 Time 、 Multidimensional 、 Trees and networks .
· Research Based on data state model :(Data State Model)Chi The visualization is divided into four data conversion stages and three Chinese data conversion operations .

“ Accept it first , Then think about it ”
Reference resources
https://zhuanlan.zhihu.com/p/25897580
《 Data visualization 》_ Chen weibian
边栏推荐
- Leetcode-13- Roman numeral to integer (simple)
- 工作与生活
- Common skills of quantitative investment - index part 2: detailed explanation of BOL (Bollinger line) index, its code implementation and drawing
- Undirected graph -- computing the degree of a node in compressed storage
- Tree - delete all leaf nodes
- Opencv desaturation
- Unity extension
- Pysmb usage
- Five classic articles worth reading (2)
- [backtrader source code analysis 7] analysis of the functions for calculating mean value, variance and standard deviation in mathsupport in backtrader (with low gold content)
猜你喜欢

软件测试的几种分类,一看就明了

Common skills of quantitative investment - index part 2: detailed explanation of BOL (Bollinger line) index, its code implementation and drawing

切线与切平面

ES6解构赋值

Deadlock problem summary

Ecological convergence NFT attacks, metaverse ape leads the new paradigm revolution of Web 3.0 meta universe

刘徽与《九章算术》《海岛算经》简介

spiral matrix visit Search a 2D Matrix

数学知识整理:极值&最值,驻点,拉格朗日乘子

【斯坦福計網CS144項目】Lab1: StreamReassembler
随机推荐
Five classic articles worth reading (2)
leetcode. 151. flip the words in the string
Tkinter library installation
4K sea bottom and water surface fabrication method and ocean bump displacement texture Download
Deadlock problem summary
Unitywebrequest asynchronous Download
Leetcode-19- delete the penultimate node of the linked list (medium)
Get preview of precast body
Quantitative investment traditional index investment decision vs Monte Carlo simulation method
redis
Binary tree - right view
Leetcode-16- sum of the nearest three numbers (medium)
[latex] insert picture
Unity extension
Common skills of quantitative investment -- Drawing Part 1: Drawing stock closing price curve and ochl candle chart
Addition and modification of JPA
Study notes on the introduction paper of face recognition deep facial expression recognition: a survey
Key point detection data preparation and model design based on u-net Network -- detection model of four key points of industrial components
Traditional machine learning classification model predicts the rise and fall of stock prices
使用Pygame创建一个简单游戏界面