The Data-Wink Ratio: Emoji Encoder for Generating Semantically-Resonant Unit Charts
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arXiv
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| Hauptverfasser: | , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866914922294673408 |
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| author | Brehmer, Matthew Setlur, Vidya Zoe Correll, Michael |
| author_facet | Brehmer, Matthew Setlur, Vidya Zoe Correll, Michael |
| contents | Communicating data insights in an accessible and engaging manner to a broader audience remains a significant challenge. To address this problem, we introduce the Emoji Encoder, a tool that generates a set of emoji recommendations for the field and category names appearing in a tabular dataset. The selected set of emoji encodings can be used to generate configurable unit charts that combine plain text and emojis as word-scale graphics. These charts can serve to contrast values across multiple quantitative fields for each row in the data or to communicate trends over time. Any resulting chart is simply a block of text characters, meaning that it can be directly copied into a text message or posted on a communication platform such as Slack or Teams. This work represents a step toward our larger goal of developing novel, fun, and succinct data storytelling experiences that engage those who do not identify as data analysts. Emoji-based unit charts can offer contextual cues related to the data at the center of a conversation on platforms where emoji-rich communication is typical. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_13418 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | The Data-Wink Ratio: Emoji Encoder for Generating Semantically-Resonant Unit Charts Brehmer, Matthew Setlur, Vidya Zoe Correll, Michael Human-Computer Interaction Communicating data insights in an accessible and engaging manner to a broader audience remains a significant challenge. To address this problem, we introduce the Emoji Encoder, a tool that generates a set of emoji recommendations for the field and category names appearing in a tabular dataset. The selected set of emoji encodings can be used to generate configurable unit charts that combine plain text and emojis as word-scale graphics. These charts can serve to contrast values across multiple quantitative fields for each row in the data or to communicate trends over time. Any resulting chart is simply a block of text characters, meaning that it can be directly copied into a text message or posted on a communication platform such as Slack or Teams. This work represents a step toward our larger goal of developing novel, fun, and succinct data storytelling experiences that engage those who do not identify as data analysts. Emoji-based unit charts can offer contextual cues related to the data at the center of a conversation on platforms where emoji-rich communication is typical. |
| title | The Data-Wink Ratio: Emoji Encoder for Generating Semantically-Resonant Unit Charts |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2408.13418 |