Back Open-Source tools for Data Visualization

 Aim and objectives:

Data visualisation, such as the use of infographics and graphs, has become a meaningful way to present medical data that impacts decision-making on a collective and individual level to enhance health literacy.


 Target group:

Applying visual elements and plain language help bring an individual with limited health literacy and numeracy skills to an outcome that equates to better health behaviours and practices.


 Method:

Data visualisation involves breaking down the data points in terms of time, place, and elements of which people are familiar with, or personalising/localising numbers to make them more digestible and meaningful. Data dashboards may be effective visualisation tools for tracking and visualizing data from multiple sources including e.g., tables, pie charts and stacked bar charts, line graphs and area graphs, histograms, scatter plots, heat maps and tree maps. It might also be combined to infographic including icons and minor text to show a visual narrative.


 Outcome:

Storytelling with data through simple graphs, comparative charts and representational icons often helps to make the implicit explicit to enhance individual and population health.


 Added value:

Data visualization can improve understanding and analyses, as well as enabling better and faster decision making.


 Open-Source tools for Data Visualization

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