When should you use dashed or dotted lines in your data stories? You shouldn't use them for highlighting, but they can be useful in your data scenes for special purposes.

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Context is an integral ingredient in data stories. By adding ample context, you can make your data stories more flavorful and less bland.

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Here's one of the lessons I focus on in my new blog post about comic books and #datastorytelling .

Both compression and decompression pacing can be useful in telling our data stories.

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NEW BLOG POST
Drawing Insights: What Data Storytelling Can Learn From Comic Books effectivedatastorytelling.com/post/drawing-i…

#datastorytelling : Should you use a pre-read or not of your data story?

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For #analytics success, I've developed a more robust framework that better aligns with its transformative potential.

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The data scenes of your data stories won't be effective if the send/receive relationship between headlines and visuals are not aligned. #datastorytelling

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In #datastorytelling , it isn't about what we say or how we say it but whether or not our messages are being understood. If your audience struggles to understand your data stories, it's unlikely that you'll generate much action or value from them.

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What is the Data Storytelling Sweet Spot? It's at the intersection of data and business knowledge.

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In #datastorytelling , we need to draw a distinction between visualizing 'the data' and visualizing 'the message.'

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#Datastorytelling : Here are three tactical ways to use markers in the trended data scenes of your data stories.

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We often look down on complexity in #datastorytelling . While I agree we should simplify our data communications as much as possible (less is more), sometimes, the complexity is necessary when it delivers a payoff we couldn't achieve otherwise.

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Using jargon in your #datastorytelling can derail its effectiveness. While jargon can be a shortcut when speaking with people who share similar expertise or knowledge, it can be a roadblock when your audience doesn't.

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In #datastorytelling , it's helpful to direct label and avoid legends. However, there might be some situations where it's not appropriate. In this post, I discuss different considerations before you just go with a legend.

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In #datastorytelling , most of the attention is spent on the #dataviz aspects. However, the data scenes of data stories are rarely just charts. How you format the annotations in your data scenes matters too.

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Your operating culture impacts your #dataculture .

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In your data story headlines, you may want to selectively add bolding or color to emphasize key text.
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#datastorytelling : Your credibility matters to your stories. Your ethos appeal as a data storyteller is as important as your logos and pathos appeals.
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#datastorytelling : 3 key types of audience questions that will inform how you craft your data stories

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Data storytelling: Insights are the ultimate plot twists

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