本文通过使用D3.js创建了一种交互式可视化方案，展示了中国科学院院士姓名首字母的分布情况。该可视化旨在探究姓名首字母是否影响学术成就，并发现以N到Z开头的姓氏比例接近55%，表明这些姓氏的院士并未遭受不利对待。
Figure 1: The overview of the visualization.
Figure 2: the distribution of the first letter in one academic division.
Figure 3: the distribution of the academic division in one first letter .
Description
- Dataset:
The data used in this paper is collected by me from the website of CAS. You can see the data from my html file. I analyzed the first letter of their name and calculate the data I want.
- Tools:
In this visualization, I use D3 and modify the source code to meet my design.
- Design:
The lift bar represents the five academic divisions of Chinese Academic of Science. The length of the bar indicates the total number of one academic division. The right bar represents the number of the first letter.
When you put the mouse on the lift bar, it shows the distribution of the first letter in this academic division. When you put the mouse on the right bar which represents a first letter, it shows the distribution of the academic division.
- Purpose:
Why I design this visualization? Once, it is said that it is a disadvantage for people whose surnames begin with a letter in the lower half of the alphabet. That is to say, people with surnames beginning with N to Z are often ill-treated, and they are hard to success. So I design this visualization to see the distribution of the first letter of academicians of Chinese Academic of Science. From the visualization, we can see clearly that academicians with surnames beginning with N to Z are nearly about 55%, which maybe indicates that people with surnames beginning with N to Z are not ill-treated.
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