Visualization in Government

Data Stories

Data story

A. Duangphummet and P. Ruchikachorn, β€œVisual Data Story Protocol: Internal Communications from Domain Expertise to Narrative Visualization Implementation,” IVAPP 2021.

πŸ•Ή Data story 1: https://ippd.or.th/thailand-productivity-story/ (in Thai)

πŸ•Ή Data story 2: https://ippd.or.th/plasticstory/ (in Thai)

πŸ•Ή Data story 3: https://ippd.or.th/pm2-5/ (in Thai)

πŸ•Ή Data story 4: https://ippd.or.th/roadsafety/ (in Thai)

πŸ“„ SciTePress or Preprint

Data stories play an important role in effectively and intuitively communicating data insights as well as enabling the audience to understand important social issues. Crafting a data story needs several sets of skills, we propose a five-phase data story protocol in order to guide data story design and development, and promote interdisciplinary team collaboration. This protocol was developed from our working team reflection on four data story projects and researching the related work. We hope that this protocol could be one potential way for non-journalism organizations to conduct data stories for their target audience.

Dashboards

uncommon visualizations

P. Ruchikachorn, β€œApplying Uncommon Visualizations to Government Dashboards,” IVAPP 2021. [Best Poster Award]

πŸ•Ή Connected scatterplot: http://www.ippd.or.th/where-thailand-is/ (in Thai)

πŸ•Ή Hex Map: http://puripant.ruchikachorn.com/thailand-hex-map/ (to create the hex map of Thailand)

πŸ–Ό Poster

πŸ“„ SciTePress or Preprint

Many governments provide data dashboards to present the state of the countries or administrative activities. Their main target audience is typically the citizens but the dashboard design process is usually top-down and leads to formulaic results. Developing three data dashboard projects for the government of Thailand, we successfully applied two uncommon data visualizations, grid map and connected scatterplot, despite initial resistance from the government agencies. We documented the design process including feedback on the two visualizations and solutions to alleviate their concerns. Academic studies had little success in convincing stakeholders. In both visualizations, animations helped to frame the concept of the uncommon visualizations.

TPMAP

N. Surasvadi, P. Ruchikachorn, C. Siripanpornchana, S. Thajchayapong, and A. Plangprasopchok, β€œTPMAP: a Data Analytics and Visualization Platform to Support Thailand Target Poverty Alleviation Programs,” PacificVis 2019 Posters, Bangkok, Thailand, 23-26 April 2019.

πŸ•Ή Demo: https://www.tpmap.in.th (in Thai)

πŸ•Ή Star: https://github.com/puripant/svg-stars (code snippet to create SVG stars)

πŸ•Ή Hex Map: http://puripant.ruchikachorn.com/thailand-hex-map/ (to create the hex map of Thailand)

πŸ“„ Preprint

This paper presents Thai People Map and Analytics Platform (TPMAP: https://www.tpmap.in.th), a data analytics and visualization platform to support target poverty alleviation programs in Thailand. TPMAP aims at enabling Thailand policy-makers to identify the poor, locate them, and understand their basic needs. We use a star as a multidimensional data glyph throughout various charts navigated through a geographical hierarchy. The online platform is being used by a few local government officials to tackle the poverty problem.

CGD

P. Ruchikachorn, R. Suveeranont, and T. Luangaroonlerd, β€œA Case Study of Open Data Visualization System for Government Transparency in Thailand,” PacificVis 2019 Posters, Bangkok, Thailand, 23-26 April 2019.

πŸ–Ό Poster

πŸ“„ Preprint

Open data is essential to government transparency. However, simply opening access to the government data files does not guarantee data accessibility to the general population. An efficient way is to digest the data and visually present its insights. We designed and implemented a visualization system to communicate the data stories of Thai government procurement to both the public and journalists. Our iterative design process consulted two political reporters. The final design incorporated a scroll-based storytelling and several visualization elements which had not been available such as a hexagonal grid map of Thailand. We demonstrated the usefulness of this system with a scenario regarding government budget transparency.