Exercise: A Data Story
Lesson 28 from: Data Storytelling: Deliver Insights via Compelling StoriesBill Shander
Exercise: A Data Story
Lesson 28 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: A Data Story
for my data story exercise solution. I'm picking up where I left off with my emotional story. So I have a story with a good flow and I know I'm going to bring emotion to it. So my task for this exercise is first to establish a visual hierarchy for the story, here's a very high level sketch of the infographic visual hierarchy for this story in the end, even though I have four buckets of content in my outline, I'm realizing that the first two buckets young equals cranky and don't wake them up can really be combined into one bucket. I don't want to spend a ton of time on each of those. My story is really about the reason why the horrible sleeping habits of the young and the recommendations I'm making to my audience to help them solve the problem. So at the highest level I have pretty much three equally important sections for my infographic Next I wrote out my sentences in full excruciating detail to help guide myself. Here are my sentences. The youngest age demographic to 29 year olds is...
the most likely to find a variety of airline passenger behavior is rude when compared to the other three age groups. They're by far the crankiest and the least cranky are the 45 to 60 year olds when you compare what makes them cranky to the least cranky group by looking at the difference between the two age groups, crankiness score across different behaviors. It's clear that the biggest difference is around being woken up. The young people don't want other travelers to wake them up if they need to go to the bathroom and they really don't want to be woken up just to take a walk. Why are young people so opposed to being woken up compared to their older fellow travelers? It may have to do with their sleeping habits when you compare the recommended sleep patterns compared to actual sleeping patterns. No age group is more out of touch first. They're supposed to get more sleep than any other age group and they're getting less than every other age group. 2nd, much of their sleep is fragmented Rather than getting the recommended full 8-9 hours at night. In one shot, they're sleeping less than six hours per night and trying to make up part of the difference with short naps during the day, fragmented sleep is nearly as problematic as a lack of sleep and this age group is experiencing both. So what can airlines do to improve their passengers happiness since the young folks are the crankiest, Perhaps they're low hanging fruit. Our three recommendations are one to strongly discourage aisle seating for people within this demographic to include melatonin in there, overnight seat back kits along with sleeping masks And three add airline app notification reminders to go to sleep. 12 hours ahead of any morning flights for people younger than 30. Now that I have my sentences, I can make up a rough sketch of my infographic, I have two simple charts in the first section. first showing overall crankiness and using unhappy faces with steam rising from the heads to indicate the level of frustration, and a chart showing the overall crankiness score differential between my happiest and unhappiest age groups for each behavior being measured next, I'll have some copy to describe my hypothesis about sleep habits and show the recommended versus actual sleep patterns and the concept of fragmentation, which I used in my sentence, which led me directly to a graphic that is reminiscent of a hard drive fragmentation graphic. This isn't the only way to depict this data, but I'll probably explore more in other sketches before I get to design. Finally, my recommendations are conceptual, not really data driven. So the final section will consist of a collage design, sort of showing the traditional seating pattern on a plane and melatonin in a sleep kit as well as a mobile app alert. This sketch well, very rough, is more than enough to go directly to design. As long as I'm satisfied conceptually with my chart choices and overall visual hierarchy
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