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How to tell stories with data

This lesson focuses on mastering the art of storytelling with data, covering core elements like setup, conflict, and resolution. Students will enhance their communication skills by practicing advanced connectors and phrasal verbs in a business context.

C1 Business Practical English Work Technology Grammar Video
How to tell stories with data
Photo by UX Indonesia / Unsplash

Summary

This downloadable PDF lesson for C1 ESL students helps them master the art of storytelling with data. This English class material uses a video and various exercises to teach students how to transform raw data into compelling narratives using advanced connectors and relevant vocabulary.

This lesson helps advanced students understand the core elements of a story (setup, conflict, resolution) and apply them to data presentation. Activities include a warm-up discussion, a listening exercise with gap-fills, vocabulary matching, and grammar practice focused on advanced connectors and phrasal verbs. The material is designed to enhance communication skills and enable students to present data in an engaging and memorable way.

Activities

  • A warm-up discussion where students consider the role of storytelling in communication and their experiences presenting data.
  • A video listening exercise focusing on identifying the three core elements of a story: setup, conflict, and resolution, within the context of data.
  • A vocabulary matching task to learn key terms from the video, such as "aggregate," "bifurcated," and "seamless."
  • Grammar exercises on advanced connectors (cause, effect, contrast, addition) to enhance coherence and logical flow in data narratives.
  • Practice with common phrasal verbs used in data analysis and presentation, like "break down" and "figure out."
  • A speaking activity where students apply the learned vocabulary, grammar, and storytelling principles to discuss personal or professional situations involving data.
00:00 SCOTT BERINATO: With data.
00:00 Everybody's doing it, right?
00:00 You're not doing it?
00:00 You should be doing it.
00:00 You've been told you should be doing it.
00:04 Storytelling with data is the big thing.
00:06 [MUSIC PLAYING]
00:08 Well, it turns out you should be doing storytelling with data,
00:11 but it's a lot easier than you probably think it is.
00:13 Once you know the three elements of a story, setup, conflict,
00:16 resolution, you can start telling stories with your data.
00:18 Setup conflict resolution.
00:20 Every story ever told from the beginning of time
00:23 follows this structure.
00:24 It's really that simple.
00:26 Setup.
00:27 Charlie Brown runs toward the ball.
00:29 Conflict.
00:29 Lucy takes the ball away at the last second.
00:31 Resolution?
00:32 Ah!
00:34 And a setup is just some reality.
00:35 And by reality, we just mean a situation.
00:37 It could be fictional, but it's a reality
00:39 you've created for the story.
00:40 And then you have conflict, which has changed that reality.
00:43 Without change, there is no story.
00:44 You just have a bored audience.
00:46 The resolution is just the new reality
00:47 that the change creates.
00:49 So with that in place, we can now take a chart,
00:51 and we're going to break it down, pull it apart, find
00:53 the stories in it, find the setups,
00:54 the conflicts, the resolutions, and we're
00:56 going to rebuild it as a storytelling device.
00:58 [MUSIC PLAYING]
01:02 OK.
01:02 Now we're back with a chart.
01:04 This is Global Real Home Price Index.
01:06 The index is 100 and you see a bunch of lines for countries.
01:09 There's a gray line in there.
01:10 That's the aggregate as well.
01:12 This chart is really showing home prices
01:14 in a lot of different places in the world,
01:15 and that's where I'm starting.
01:16 So, I want to find the stories in here.
01:17 And the first thing I start to notice, really,
01:19 are a couple of things.
01:20 I obviously noticed that big hump on the green line there.
01:23 That's Japan.
01:24 And I noticed that point where everything comes together.
01:27 To me, that immediately says those are probably
01:29 two places where there's conflict,
01:31 but I realized something as I'm looking at this,
01:33 and I'm glad I did, because otherwise,
01:35 I would have had the wrong story.
01:36 And that is that these home prices are indexed to 2005.
01:40 So, the fact they come together there at 2005
01:42 doesn't mean the prices came together.
01:44 That just means those are the dollars
01:45 that the people who made the chart
01:47 used to show the change in house prices over time.
01:50 So, there's really no conflict there.
01:52 And in fact, I think that's my setup.
01:54 That's where we start, because that's where they started.
01:56 I can still tell those two stories on the left
01:59 and on the right, but I start there
02:00 instead of at the beginning of the chart.
02:02 I can look backward and say, home prices rose steadily
02:05 in most places in the world for 30 years
02:07 except for in Japan, which experienced
02:09 a three decade long bubble, and that is a perfectly good story.
02:12 The setup is home prices rose steadily in most places,
02:16 except in Japan, which is the conflict.
02:18 And the resolution?
02:19 It experienced this 30 year bubble.
02:21 And then working from 2005 to the right,
02:23 I have another story, which is that there was a smaller house
02:26 bubble, housing price bubble in most places except Japan.
02:29 So now, the story has flipped, but something different
02:32 happened this time, and that is that the market's bifurcated.
02:35 And you ended up with three markets, Australia, Canada,
02:37 and New Zealand rising again, looking
02:40 much like a bubble, and the rest falling
02:42 and then rising back to about 2005 levels.
02:44 So, I've really started to see a couple of stories emerge here.
02:47 One, both starting in 2005, because that's
02:49 where our prices start, and one sort
02:51 of working backward in time, and one working forward in time.
02:54 [MUSIC PLAYING]
02:57 OK, so I'm going to spare you most of my sketching
03:00 because it's so messy and chaotic,
03:01 it probably would just give you a headache.
03:03 But I did a bunch of sketching, and I
03:04 arrived at these final charts.
03:06 And I've split the chart up into a couple of states.
03:08 It really helps your audience focus.
03:11 So, here's my setup.
03:12 You can see it.
03:14 Prices rose steadily in most places in the world.
03:16 I try to use my titles to actually reflect the story
03:19 and hear.
03:20 The steady increase reflects that setup.
03:22 Instead of just using a generic title about global real home
03:24 prices, which is boring and not helpful,
03:27 the title can really do some work for me here.
03:29 And then, I want to add the conflict and resolution
03:31 state, too.
03:32 There it is.
03:33 You can see we've added Japan, Except in Japan in the title,
03:36 and that conflict and resolution becomes clear
03:38 that Japan was this bubble that lasted 30 years that was
03:41 different than everywhere else.
03:43 And you can see as I present this, it almost looks seamless,
03:46 as if I'm just showing you one chart that changes state.
03:49 So then I'm just going to repeat this process for going forward.
03:52 And you see here, I've included my setup, conflict,
03:55 and resolution altogether in one state.
03:57 You see that little bubble and then
03:59 you see the bifurcation of the market.
04:01 But the most important thing is, I've really
04:03 highlighted the elements of the story
04:04 in both cases and nothing else.
04:06 I've left out any information that might distract
04:08 from telling that story.
04:10 I've not focused on anything that
04:11 doesn't matter to telling that simple story of setup,
04:14 conflict, and resolution.
04:16 Narrative is the most powerful, most human tool
04:18 we have to communicate.
04:20 If you can apply storytelling to your data,
04:22 it creates an emotional connection with the audience.
04:24 They're not only going to believe what you show them,
04:26 they're going to feel it.
04:27 [MUSIC PLAYING]

Vocabulary focus

The vocabulary section introduces key terms from the video related to data analysis and presentation. Key terms include "aggregate," "bifurcated," "seamless," "distract," "narrative," and "emotional connection." Students learn to describe how data can be structured and presented to create an impact.

Grammar focus

This lesson concentrates on advanced connectors for cause (due to, owing to), effect (consequently, therefore), contrast (however, whereas), and addition (furthermore, in addition). These grammatical tools are practiced to help students create coherent and logical narratives when presenting data.


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