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  • […] then there’s Ann Emery’s latest post, “Newish Charts for Evaluation” which is simply jam-packed with chart ideas, tips, and tricks, as usual (dot plot tutorial, […]

  • jlbisgard says:

    I feel inspired, thank you!

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    3 New-ish Charts for Program Evaluation

    Updated on: Jan 7th, 2014
    Data Visualization
    , , , , , ,
    Collage of a computer monitor, laptop, calendar, people and charts..

    You know the drill: Better charts = better communication = better understanding = better decision making. Whether you’re trying to highlight the most important findings, simplify that lengthy report, or just get someone to open your report in the first place, charts can be one of your strongest communication tools.

    Ready to move beyond the typical pie chart or line chart? Today I’m covering 4 awesome charts that are under-used (but extremely useful!) in evaluation.

    Social Network Maps

    Johanna Morariu's map of the #eval13 hashtag.
    Johanna Morariu’s map of the #eval13 hashtag

    Although social network maps aren’t brand new to evaluation (read about them on aea365 here), I had to mention them because I’m still surprised how many evaluators aren’t using social network maps.
    Social network maps help you understand relationships between organizations, people, or even conference attendees. But beware – social network maps aren’t for everyone.

    Want to create your own? Check out Johanna Morariu’s tutorial on using NodeXL, a free Excel plug-in.

    Tree Maps

    Tree maps are for hierarchical or nested data, and they’re great for showing part-to-whole patterns.

    Here’s an example from Innovation Network’s State of Evaluation research in which Johanna Morariu, Kat Athanasiades and I examined the proportion of nonprofits demonstrating promising evaluation capacities and behaviors:
    Sample treemap from State of Evaluation 2012.
    Can you imagine that same data in a bar chart? It just wouldn’t work; all the relationships between nested variables would be lost.

    Want to learn more? Check out Johanna Morariu’s example that breaks down participants’ gender, age, and whether or not they completed a program.

    Dot Plots

    Dot plots are similar to bar charts and clustered bar charts (but in many cases, they’re easier to read and a lot less cluttered).

    Here’s a 5-minute overview about what dot plots can be used for:

    (Better) Bar Charts

    And don’t forget about the good ol’ bar chart, your go-to chart for most of your datasets.

    But not all bar charts are created equal. It’s no longer acceptable to paste that default draft chart straight into your report; you should expect to spend a few minutes cleaning up every single chart to improve its labeling and overall readability.

    Once you’ve mastered the basic bar chart, try your hand at one of these newer variations, like a diverging stacked bar chart, floating bar chart, or small multiples bar chart. The bar chart’s versatility make it the most essential chart for evaluation.

    Have you used any of these charts for evaluation purposes? Are there other new-ish charts you think the evaluation world should be aware of? Please share your ideas with the community!

    More about Ann K. Emery
    Ann K. Emery is a sought-after speaker who is determined to get your data out of spreadsheets and into stakeholders’ hands. Each year, she leads more than 100 workshops, webinars, and keynotes for thousands of people around the globe. Her design consultancy also overhauls graphs, publications, and slideshows with the goal of making technical information easier to understand for non-technical audiences.

    2 Comments

  • […] then there’s Ann Emery’s latest post, “Newish Charts for Evaluation” which is simply jam-packed with chart ideas, tips, and tricks, as usual (dot plot tutorial, […]

  • jlbisgard says:

    I feel inspired, thank you!

  • Leave a Reply to Evaluation inspiration is everywhere (on the internet)! | actionable data Cancel reply

    Your email address will not be published. Required fields are marked *

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