Tag cloud

Description

A tag cloud is a visual representation for text data, typically used to depict keyword metadata (tags) on websites, to visualize free form text or to analyses speeches( e.g. election’s campaign). Tags are usually single words, and the importance of each tag is shown with font size or color. This format is useful for quickly perceiving the most prominent terms and for locating a term alphabetically to determine its relative prominence [1].

Depending on the level of sophistication, calculating positioning in a given space can become quite complex [2, 3]. If you need external dependencies, make sure to move this issue to the FsLab repository

Example

References

• [1] https://datavizproject.com/data-type/tag-cloud/
• [2] https://en.wikipedia.org/wiki/Tag_cloud#Collocate_clouds
• [3] https://i11www.iti.kit.edu/extra/publications/bfklnopsuw-swcrh-14.pdf

Pointers

• Ideally, you start prototyping in a scripting or notebook environment where you can iterate fast. installation instructions can be found here: https://plotly.net/#Installation
• Charts like this that are using baseline trace types to create a new chart type should only be implemented in the top-level Chart API. An example where this is already done is the Range chart that combines a set of differently styled line charts.
• Ideally prevent text processing and just focus the plot on creating the tag cloud based on occurrence in a collection of strings. Preprocessing should be done in the pipeline before applying the visualization technique.

首先在 issue 中描述的脚本或 notebook 环境中进行原型设计，然后阅读 src/Plotly.NET/ChartAPI/Chart2D.fs 中顶层的 Chart API 和 Range chart 示例。探索使用隐藏 marker 的散点图，并将预处理放在可视化之外。完成的标准是 Chart API 能够根据字符串集合中的出现次数数据创建标签云。