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  • Featured MOM 2019 W12

    Makeover Monday: How do we really feel about women leaders?

    Original Analysis of the original Here are a series of questions I use to analyse a chart. Where are my eyes drawn?: My eyes are drawn to the blue arc for G7 average. What works in this visual?: The circular bars are sorted. Good use of colors to represent countries and average. Identify clutter, make…

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  • Dual axis chart

    5 alternatives to dual axis charts

    Let’s talk about what to use instead of dual axis charts. Here are 5 alternatives – Side-by-side charts. 2 charts labelled directly, Prioritizing and levelling, connected scatterplot and indexed charts.

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  • MOM 2019 W11

    Makeover Monday: Philadelphia Real Estate Transfers

    We sometimes come across a dataset that stumps us. The Philadelphia Real Estate Transfers was one such dataset for me. Inspired by Eva Murray’s work, I decided to use a cycle plot here.

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  • SWDChallenge_Mar_2019.png

    #SWDChallenge: visualize THIS data!

    This month’s #SWDChallenge was to visualize a specific dataset and create visualization(s) to answer specific questions. This is different from an open-ended data analysis where we go on looking for interesting stories in the data. Most often in our jobs, we use data visualization to communicate answers to predefined questions – for example, who are…

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  • W10-2009-Featured

    Makeover Monday: Operation Fistula

    My aim with this makeover was to create a chart that shows the relation between Obstetrics Fistula (OF) and lifetime maternal deaths in various countries.

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  • Dual axis chart

    What to keep in mind when creating dual axis charts?

    Like with most other charts, dual axis charts have their good and bad. They are often used to compare two data series in a small amount of space.

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  • MOM 2019 W9

    Makeover Monday: Economic value of the bicycle industry

    Sometimes we need more than one chart to communicate our message. This makeover is a good example of how one chart may be inadequate to convey the whole story.

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