{"id":23552,"date":"2025-05-20T10:24:30","date_gmt":"2025-05-20T14:24:30","guid":{"rendered":"https:\/\/dvsnightingstg.wpenginepowered.com\/?p=23552"},"modified":"2025-05-20T10:35:01","modified_gmt":"2025-05-20T14:35:01","slug":"cards-charts-and-strategy","status":"publish","type":"post","link":"https:\/\/nightingaledvs.com\/cards-charts-and-strategy\/","title":{"rendered":"Cards, Charts, and Strategy: A Game-Based Approach to Data Visualization for Pattern"},"content":{"rendered":"
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Figure 1: Example of the card designs for the game. The bigger card on the left (1) depicts a scenario of a soccer team that wants to show the outcome of their games from the last year in a visualization (on the front side). On the back side of this card, the scoring for the visualization cards can be seen. On the right side (2) is the example of a card featuring a data visualization type, including an explanation of how to read and create it. Image courtesy of the authors.<\/figcaption><\/figure>\n<\/div>\n\n\n
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In today’s society, the ability to read and interpret data visualizations has become a critical skill in both professional and academic contexts. Therefore, fostering visualization literacy from an early stage is essential in teaching students to understand and interpret different types of data visualizations. Research highlights gamification as an effective method for enhancing visualization literacy by promoting active learning and motivating learners of all ages. In this context, a card game has been developed to challenge players to identify the most appropriate visualization type for different given datasets. This educational card game aims to deepen understanding and practical application of data visualization concepts while maintaining an engaging and interactive experience for learners.<\/p>\n\n\n\n

Research has shown that data visualization is an essential aspect of a critical and informed society, and therefore, it needs to be part of our education. To better engage students and children in learning about data visualizations, it is essential to employ creative teaching methods. One way can be games.<\/p>\n\n\n\n

Games are structured forms of play that engage participants through defined rules, objectives, competition, or collaboration. Games provide an environment for individuals to explore complex concepts, develop skills, and foster creativity. Across various disciplines\u2014including mathematics, science, history, and language\u2014games have been effectively integrated into educational settings, proving to be powerful tools for enhancing learning experiences.<\/p>\n\n\n\n

There have also already been ventures in the area of card games to teach data visualization, such as VizItCards, VisFutures, and the The Graphic Continuum: Match It Game. Those games feature a small selection of visualization types and offer a more generic view of data visualization creation. Visualization games that guide players through concrete usage scenarios are rare. <\/p>\n\n\n\n

Therefore, we introduced the card game \u201dVizionaire\u201d. It confronts players with specific scenarios in which they have to find the most fitting data visualization type. The different scenarios are represented as cards, as shown in Figure 1, front side. <\/p>\n\n\n\n

The players have to decide in teams which data visualization would be the most fitting one for that specific scenario. They do so by discussing the cards in their hand and brainstorming about which one is the best to choose. Based on a scoring system for each scenario, the visualization card which suits the scenario the best wins the round.<\/p>\n\n\n\n

The game combines both cooperative and competitive elements. To keep the scope of the first prototype manageable, the game focuses specifically on data visualization types that fall under the \u201dPatterns” category of The Data Vis Catalogue schema.<\/p>\n\n\n\n

This category includes visualization types that highlight structure or meaning within datasets by revealing underlying forms or trends, such as: arc diagram, area graph, bar chart, box & whisker plot, bubble chart, candlestick chart, choropleth map, connection map, density plot, dot map, dot matrix chart, heatmap, histogram, kagi chart, line chart, multi-set bar chart, open-high-low-close chart, parallel coordinates plot, point\/figure chart, population chart, radar chart, scatterplot, spiral plot, stacked area graph, stream graph, timeline, and violin plot.<\/p>\n\n\n\n

The selection of these visualization types ensures that players are exposed to visualization techniques that are both versatile and foundational, supporting a wide range of analytical tasks, e.g., identifying trends, comparing categories, visualizing distributions, and uncovering relationships in data. The game aims to reinforce learning through repetition and targeted practice, helping players to remember<\/em>, understand<\/em>, and apply<\/em> these visualization methods in a fun and engaging way.<\/p>\n\n\n\n

The card game is designed for undergraduate computer science students taking their first course in data visualization. It serves as a supplementary learning method to reinforce key concepts from lectures, making the material more engaging and easier to grasp for students with no prior experience.<\/p>\n\n\n\n

Goals and rules of play<\/h2>\n\n\n\n

The primary objective of this game is to enhance players’ understanding of data visualizations. By engaging with various real-world scenarios, players will develop the experience and expertise necessary to select the most appropriate visualization for specific tasks and given datasets. <\/p>\n\n\n\n

Each round centers around a \u201dScenario card,\u201d which presents a specific data set, its intended use, and the target audience. Within a two-minute timeframe, team members collaboratively discuss which card from their hand best corresponds to the scenario. <\/p>\n\n\n\n

This phase of the game encourages critical thinking and fosters teamwork.<\/p>\n\n\n\n

It is crucial that during the phase, the players communicate effectively within their own team to avoid distracting or assisting the opposing team. <\/p>\n\n\n\n

Once the two-minute discussion phase has ended, the \u201dVisualization card\u201d with the highest scores wins the round. The objective of this game is to accumulate as many round scores as possible. As the game is played more frequently, it aims to enhance players’ understanding of which visualization types are most suitable for specific scenarios, which acquire skills for real-world contexts.<\/p>\n\n\n\n

Short game manual<\/h2>\n\n\n\n

The game is played with two different card decks\u2014Scenario cards & Visualization cards\u2014that will be described in the following two paragraphs (see Figure 2 and Figure 3).<\/p>\n\n\n

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Figure 2: Layout Mockup of the front and back of a Scenario card. Image courtesy of the authors.<\/figcaption><\/figure>\n<\/div>\n\n\n
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Scenario Cards<\/strong> feature fictional scenarios that require data visualization to represent them in a suitable way, as illustrated in Figure 2 on the front side of the card. <\/p>\n\n\n\n

The front of the card is structured into two main parts, one being the general information featuring a name and an image, whereas the second part provides all the needed information for the gameplay: <\/p>\n\n\n\n