大数据数据可视化设计原则_数据可视化设计的8顶帽子
大數據數據可視化設計原則
8 hats of data visualization are basically the important persons and their roles that are basically required to carry out data visualization are as follows:
數據可視化有8個基本要素,而進行數據可視化所需的基本角色如下:
The initiator
發起人
The data scientist
數據科學家
The journalist
記者
The computer scientist
計算機科學家
The designer
設計師
The cognitive scientist
認知科學家
The communicator
傳播者
The project manager
項目經理
Let us discuss these hats one by one...
讓我們一一討論這些帽子...
The data scientist:
數據科學家:
This is basically characterized as data miner who basically the miner’s hat. Their basic role is to acquire, handle prepare and examine the data.
這基本上就是數據挖掘者的特征,他們基本上就是挖掘者的帽子。 它們的基本作用是獲取,處理準備和檢查數據。
The journalist:
記者:
The role of journalist is to build up the narrative approach to the visualization problem. Working with both initiator and data scientist they are able to build up the story for the data visualization.
新聞工作者的作用是建立可視化問題的敘事方法。 通過與發起者和數據科學家合作,他們能夠為數據可視化構建故事。
The computer scientist:
計算機科學家:
The Computer Scientist is basically the executer who brings the project alive because they are only the person who is going to get the solution.
計算機科學家基本上是使項目活著的執行者,因為他們只是要獲得解決方案的人。
The designer:
設計師:
The designer is creative person who in harmony with the computer scientist will bring out the solution. They basically have the eye for visual detail and a flavor of innovation.
設計師是富有創造力的人,他將與計算機科學家和諧相處,提出解決方案。 他們基本上著眼于視覺細節和創新氣息。
The cognitive scientist:
認知科學家:
The cognitive scientist is basically the thinker in terms of appreciating the work of both computer scientist and designer. They basically have knowledge about how the eye and the brain work most effectively and efficiently.
就欣賞計算機科學家和設計師的工作而言,認知科學家基本上是思想家。 他們基本上了解眼睛和大腦如何最有效地工作。
The communicator:
溝通者:
The communicator is basically concerned with the communication part of the project. These basically work as a presenter in front of client.
溝通者基本上關心項目的溝通部分。 這些基本上是在客戶面前作為演示者的工作。
The project manager:
項目經理:
At last comes the role of project manager whose basic job is to bring the work of all other hats together and manage and supervise their work.
最后是項目經理的角色,其基本工作是將所有其他工作人員的工作集中在一起,并對他們的工作進行管理和監督。
翻譯自: https://www.includehelp.com/big-data/8-hats-of-data-visualization-design.aspx
大數據數據可視化設計原則
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