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          In May, we provided a guide for best practices in visualizing data using the most four commonly used charts. This Data Nudge focuses on some considerations when creating a data visualization in order to maximize its use.

         1) Outcomes and Audience Identification
         ▪ What outcome / story does the data represent?
               - Use Exploratory Data Analysis to get started
         ▪ Who is the target audience or stakeholder?
               - Diverse audiences may require several different visualizations
         ▪ What can the audiences expected to know and be interested in?

         2) Data and Software Consideration
         ▪ Understand your data to choose the right visualization 
               - Check our guide or Data Viz Catalogue for chart options
         ▪ Use software tutorials to assist in creating good visualizations in:
               - R, Python, Excel, SPSS
               - Cytoscape for network graphs, or Tableau for interactive dashboards

         3) Evaluation and Feedback
         ▪ To ensure effectiveness of the visualization, answers to those questions should be the same:
               - What question are you trying to answer?
               - What does the data show?
               - What does the data visualization show?
         ▪ Get feedback from others before finalizing the visualization to avoid mistakes

 
 
 

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