Why shorter data stories take longer to craft
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@analyticshero.bsky.social
Author of Effective Data Storytelling Chief Data Storyteller / Founder at AnalyticsHero, LLC
Why shorter data stories take longer to craft
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Design for every eye means paying attention to color accessibility.
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Sorry, I disagree that you should "make the audience the hero of your story."
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Have we villainized correlation too much?
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PowerPoint is my data storytelling duct tape.
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My quest to find a better conversion funnel...
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Don't limit the number of slides for presentations. Instead, limit the time for the presentations.
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Are you taming and herding the squirrels in your data stories?
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Is your organization suffering from Squirrel Fatigue?
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Beware of the Data Meddleman! Don't let them interfere with your data success.
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Leaping to judgment is always a problem. Data storytelling is about slowing down, resisting shortcuts (not jumping to conclusions), and making better decisions. One statistic is just a clue—you need context and deeper analysis to see and understand the full picture.
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Annotations are an integral part of data storytelling. However, people often confuse them with commentary, which serves a different purpose. In this post, I review three types of annotations and contrast them with commentary.
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Is this what happens to all your insights?
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If you're sharing insights, you'll definitely run into cognitive dissonance. Data storytelling is your secret weapon for helping audiences to overcome it.
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Have you tried using the jitter effect? In some situations, it can be helpful to spread out data so patterns are easier to see.
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"Shooting the messenger" ruins your data culture
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In #datastorytelling, narrative isn't just good for your audience, it's good for you as the presenter.
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How do you use color in your #datastorytelling? Here are five ways to take advantage of color in your data stories.
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Color highlighting is essential in #datastorytelling. There are two approaches with different trade-offs.
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Here's my breakdown of a data chart from last Thursday's White House presentation with economist Stephen Moore and President Trump. It was the only one based on publicly available data.
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I'm getting tired of the "humans process visual information 60,000 times faster than text" myth. It doesn't want to go away or die.
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I'm not a fan of radar or spider charts because the axis sequence changes the shape of these charts. For me, that makes them problematic and less reliable.
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Analytics can't stop at "What". We must include "So What" and "Now What."
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Framed bar charts can be your friend when you have a clear maximum value. They add a richer perspective that is missing from traditional bar charts.
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Have you ever had a bar chart that was just too darn wide? Here are five tactics you can use to make them more compact while still maintaining clarity and readability.
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After you've chosen the right chart type, how do you decide which chart within that category is the best fit? Use these four key factors to select the right chart.
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@nytimes.com shared five analogies to put the $3.3 trillion cost of the "Big, beautiful bill" in perspective. Some are more relatable than others.
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Narration is not narrative.
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Check out my new Forbes article on how to overcome resistance in data storytelling:
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Don't overlook the role that candid feedback can play in the success of your data storytelling.
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