![]() The result is too many points for your viewers to take in. What it does: Shows anomalies or where things are exceptionally different.ĭiscussions it starts: Why is this item different?Įxample: SOS Children's Villages (Link opens in a new window)Ī common error is trying to cram too many views and dashboards into a single story. What it does: Explains a subject by dividing it into types or categories.ĭiscussions it starts: Is there a particular category we should focus on more? How much do these items affect the metric we care about?Įxample: Planet Earth (Link opens in a new window) What it does: Highlights important shifts when one category overtakes another.ĭiscussions it starts: What causes these shifts? Are these shifts good or bad? How do these shifts affect other aspects of our plan?Įxample: US vs. ![]() What it does: Shows how two or more subjects differ.ĭiscussions it starts: Why are these items different? How can we make A perform like B? Which area should we focus on and which area is doing fine?Įxample: The Pyramids of Egypt (Link opens in a new window) What it does: Describes how something your audience cares about relates to the bigger picture.ĭiscussion it starts: How does something you care about compare to the bigger picture? What effect does one area have on the bigger picture?Įxample: Vancouver Cyclists (Link opens in a new window) What it does: Sets context so that your audience better understands what's going on in a particular category.ĭiscussions it starts: Why is this person, place or thing different? How does the performance of this person, place, or thing compare?Įxamples: Tell Me About Will (Link opens in a new window), The Simpsons Vizipedia (Link opens in a new window) What it does: Uses a chronology to illustrate a trend.ĭiscussions it starts: Why did this happen, or why does it keep happening? What can we do prevent or make this happen?Įxample: Arsenal's Injury Crisis (Link opens in a new window) A single story can also use more than one approach-see Example - A Story That Examines a Trend. Each data story type is also illustrated in the Data Story Examples Workbook (Link opens in a new window) on Tableau Public. The following table describes seven different data story approaches you can take and provides an example for each. Some stories show the same view throughout the story, with text annotations and different filters applied to different points to support the narrative arc. Each point can contain a view, dashboard, or even just text. When you use the story feature, you are building a sequence of points. The latter approach works well for a busy audience.įinally, sketching out your story first on paper or a whiteboard can help you quickly identify problems with your sequence. If you're presenting a case, decide whether you want to present data points that lead up to a conclusion at the end, or start with a conclusion then show the supporting data points. Is it a call to action, is it a simple narrative, or are you presenting a case? What's your story's purpose?īefore you start to build your story, take some time to think about the purpose of your story and what you want your viewers' journey to be. Use this article for tips on best practices to use with Tableau's story points feature. ![]() A good data story brings data and facts to life. ![]()
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