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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2401.15994 |
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| _version_ | 1866914656452345856 |
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| author | Raimbaud, Pierre Castillo, Jaime Camilo Espitia Guerra-Gomez, John |
| author_facet | Raimbaud, Pierre Castillo, Jaime Camilo Espitia Guerra-Gomez, John |
| contents | In a world filled with data, it is expected for a nation to take decisions informed by data. However, countries need to first collect and publish such data in a way meaningful for both citizens and policy makers. A good thematic classification could be instrumental in helping users navigate and find the right resources on a rich data repository as the one collected by Colombia's National Administrative Department of Statistics (DANE). The Visual Analytics Framework is a methodology for conducting visual analysis developed by T. Munzner et al. [T. Munzner, Visualization Analysis and Design, A K Peters Visualization Series, 1, 2014] that could help with this task. This paper presents a case study applying such framework conducted to help the DANE better visualize their data repository, and present a more understandable classification of it. It describes three main analysis tasks identified, the proposed solutions and the collection of insights generated from them. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_15994 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Extracting and visualizing a new classification system for Colombia's National Administrative Department of Statistics. A visual analytics framework case study Raimbaud, Pierre Castillo, Jaime Camilo Espitia Guerra-Gomez, John Human-Computer Interaction Information Theory In a world filled with data, it is expected for a nation to take decisions informed by data. However, countries need to first collect and publish such data in a way meaningful for both citizens and policy makers. A good thematic classification could be instrumental in helping users navigate and find the right resources on a rich data repository as the one collected by Colombia's National Administrative Department of Statistics (DANE). The Visual Analytics Framework is a methodology for conducting visual analysis developed by T. Munzner et al. [T. Munzner, Visualization Analysis and Design, A K Peters Visualization Series, 1, 2014] that could help with this task. This paper presents a case study applying such framework conducted to help the DANE better visualize their data repository, and present a more understandable classification of it. It describes three main analysis tasks identified, the proposed solutions and the collection of insights generated from them. |
| title | Extracting and visualizing a new classification system for Colombia's National Administrative Department of Statistics. A visual analytics framework case study |
| topic | Human-Computer Interaction Information Theory |
| url | https://arxiv.org/abs/2401.15994 |