Exercise Solution: 4X4 Model
Lesson 5 from: Data Storytelling: Deliver Insights via Compelling StoriesBill Shander
Exercise Solution: 4X4 Model
Lesson 5 from: Data Storytelling: Deliver Insights via Compelling StoriesBill Shander
Lessons
Introduction
1Class Introduction
03:29 2Do The Exercises
00:37 3Communication Challenges and Solutions
05:20 4Exercise: 4X4 Model
04:31 5Exercise Solution: 4X4 Model
03:25 6Introduction - Quiz
Thinking Like a Communicator
The Power of Story
06:48 8Six Ways to Tap Into Your Inner Storyteller
12:32 9The Importance of Understanding Your Audience
03:42 10How to Understand Your Audience
04:35 11How to Embrace Emotion (to review)
04:38 12How to Tap Into Your Inherent Creativity
05:55 13Exercise: An Emotional Story
01:29 14Exercise Solution: An Emotional Story
01:12 15Thinking Like a Communicator - Quiz
Telling Data Stories
16Basic Data Analytics Tactics
08:54 17Basic Journalism Tactics
04:56 18Defining Your Story
05:37 19Sketching and Storyboarding
07:05 20Use Your Words
04:20 21Telling Data Stories - Quiz
Essential Design Principles
22The Power of Visuals
07:44 23How to Pick the Right Chart for Your Data
05:19 24Exercise: Chart Selection
06:27 25Exercise: Visualization
02:59 26Basic Chart Designs Principles
08:21 27Research Driven Design Principles
06:27 28Exercise: A Data Story
03:50 29Essential Design Principles - Quiz
And Now What?
30Great Data Stories for Your Inspiration
05:53 31Tips and Tricks
03:53 32How to Sell Data Storytelling Services
03:56 33A Conversation Guide for Talking to Prospects About Data Storytelling Projects
05:30 34Course Summary
02:48Final Quiz
35Final Quiz
Lesson Info
Exercise Solution: 4X4 Model
I hope you enjoyed this exercise. I'm providing one response to this exercise as an example. There are probably 1000 stories in the flying etiquette dataset, but one thing I noticed is that the youngest age group is the group that is the most annoyed by others behaviors when flying. So for me it was easy to focus in on a story that was worth investigating. So my two headlines are younger travelers, most likely to find flying habits rude, very new york times, E and young flyers more easily ruffled than old fogeys. So the new york Times headline is pretty straightforward. It literally sums up my premise that young travelers are the crankiest. My New York Post one is really only a slight variation, just a little bit of wordplay and a bit harsher in tone. This is a good example of a second headline that isn't outlandish at all and could really inject some creativity into my new york Times headline, I could use some of that attitude in a more serious headline without jeopardizing much credi...
bility with my audience. I also came up with an alternative new york post headline, which could work, especially if I think my audience will get the reference, Do you? The next task was to come up with an image again, keeping things simple here. This is a pretty straightforward stock photo of a young person looking pretty cranky on a plane. I found this in 10 minutes of looking on a stock photo site, I'm sure if I devoted more time to it, I could probably find a picture of a cranky young person sitting next to a serene looking old person or maybe just a better, higher quality, less sort of standard stock photo. But this is a good start just conceptually Finally, I asked you to storyboard your story in two ways, an overview of the data and then a more drilled down story, An overview story for general audience could look like this. First I'm going to show you that the youngest age group is the crankiest age group. Next I'll point out that generally people are crankiest about unruly Children on planes and then point out that interestingly, our young folks are far less cranky about kids than everyone else, which begs the question, what are they cranky about? It turns out as my story concludes there crankier about pretty much everything else. This is a simple story easily told in a succinct and logical flow. A more drilled down detailed story might look like this and for the record, I have not done the data analysis for this, I'm just making this up for now. So my target audience for this story is airline executives. I'm starting in the same place focusing on the fact that our youngest demographic are are crankiest travelers then I assume right to what makes them the crankiest compared to their older counterparts and it's being woken up for any reason, but especially if you're waking them up to take a walk. So I think to make this story really sing, I'm going to dig deeper into data about this demographic data from beyond this data set, I'm going to dig into data about sleeping habits of these young folks and compare their sleeping habits to the recommended sleep habits for people in their age group and compare that differential to the same differential for the other age demographics. And I'm going to summarize some recommendations that airlines can take to reduce crankiness to reduce complaints.
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