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Introduction
The selected visualization, “World Cup Penalty Shootouts by Athan Mavrantonis,” is intended to provide an overview of penalty shootout performance in World Cup tournaments. I selected this visualization because it presents an engaging and informative analysis of World Cup penalty shootouts. The visual strategy used to present the information and analysis effectively provides a comprehensive overview of the data, making it easy to understand without becoming overwhelming or difficult to digest. The use of color coding makes the data easier to interpret, while the interactivity allows the user to explore different aspects of the data and draw conclusions.
Discussion
Athan Mavrantonis uses an informative and engaging approach to address the audience. His visualization is designed to give football fans an interactive way to explore penalty shootout results from the World Cup (Mavrantonis, 2022). The data is presented in a visual timeline with individual tabs for each match year, allowing viewers to compare shootouts over the years. Additionally, the visuals are designed to highlight patterns and trends in penalties – for example, by color-coding each table according to success rate. This helps the audience to quickly identify how successful a particular year’s shootout was compared to other years.
Athan Mavrantonis’ Data Visualization aims to provide an engaging, comprehensive look at penalty shootout performance in World Cup matches. The visualization clarifies its purpose through a concise title and description and uses bold colors and intuitive visuals to convey information quickly (Mavrantonis, 2022). It effectively combines historical and modern data, allowing users to compare different World Cup eras. The data is presented in a way that allows users to easily explore and compare the success rates of each team and nation participating in penalty shootouts.
The presentation employs color, ordering, layout, and hierarchy to organize the data into a visually striking display that prioritizes information for viewers. Color is used to categorize teams by the percentage of penalties scored – red (saved), yellow (missed), and blue (scored) (Mavrantonis, 2022). The teams are then ordered by continent, with the most successful team within each region at the top. The layout organizes teams into a coherent grid-like structure that allows viewers to recognize patterns between countries.
Data Visualization Key Insights and Accessibility to Audience
In response to the two peers, data visualizations make information more accessible to their audience by using color, layout, and hierarchy to prioritize the information. Color helps viewers quickly identify patterns in a visualization while ordering helps viewers track the progress over time. The layout is important for helping viewers focus on specific visualization elements and organizing related elements together. Lastly, hierarchy establishes relationships between different levels of information. For example, in one of the visualizations discussed, it is clear that the overall trend is a peak in business formation during July 2020, with more detailed insights provided by looking at each state’s data (Ayodimeji, 2022). Therefore, to make information more accessible to the audience, authors should use color, layout, and hierarchy to prioritize information.
Conclusion
To make key insights in visualizations more digestible to an audience, I recommend color coding and labeling to draw attention to important elements of the visualization. For instance, in the visualization analysis of the Superstore Dashboard, the author used a combination of colors and labels to emphasize areas of the highest importance (Padham, 2022). Additionally, it is important to ensure that any graphical elements are easily understandable. This can be done by providing a legend or symbol explanation, which will help viewers better interpret the data.
Additionally, I recommend using clear and concise titles for each section to help viewers navigate the visualizations easily. To avoid this, I recommend against cluttering visualization with too much information, as this can create confusion and distract from the overall insights. It is also important to ensure consistency in labeling and visual elements so viewers can interpret the data accurately.
References
Ayodimeji, Z. (2022). Business Formation in the US Pandemic Year #MakeoverMonday. Public.tableau.com. Web.
Padham, P. (2022). Superstore Dashboard. Public.tableau.com. Web.
Mavrantonis, A. (2022). World Cup Penalty Shootouts. Public.tableau.com. Web.
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