Three Steps of Data Storytelling
As the Google Data Analyst course, regarding the data storytelling will be discussed.
Table of Contents
- What is Data Storytelling ?
- Three steps of data storytelling
- References
What is Data Storytelling
Data storytelling is communicating the meaning of a data set with visuals and a narrative that are customized for each particular audience.A narrative is another word for a story.
Three steps of data storytelling
As the Google Data Analyst course, there are three steps storytelling with data. Theses are as follows :
- Engage your audience
- Create compelling visuals
- Tell the story in an interesting narrative(way)
Engage your audience
Engagement is capturing and holding someone’s interest and attention. When your audience is engaged, you’re much more likely to connect with them and convince them to see the same story you see. Every data story should start with audience engagement, all successful storytellers consider who’s listening first.
For instance, when a kindergarten teacher is choosing books for their class. they’ll pick ones that are appropriate for five-year-olds. If they were to choose high school level novels, the complex subject matter would probably confuse the kids and they’d get bored and tune out.
Create compelling visuals
The second step is to create compelling visuals. In other words, you want to show the story of your data, not just tell it. Visuals should take your audience on a journey of how the data changed over time or highlight the meaning behind the numbers.
For instance, let’s say a cosmetic company keeps track of stores that buy its product and how much they buy. You could communicate the data to others in a spreadsheet, or you could create a colorful visual such as this pie chart, which makes it easy to see which stores are most and least profitable as business partners. That’s a much clearer and more visually interesting approach.
Tell the story in an interesting narrative(way)
Now, the third and final step is to tell the story in an interesting narrative. A narrative has a beginning, a middle, and an end. It should connect the data you’ve collected to the project objective and clearly explain important insights from your analysis. To do this, it’s important that your data storytelling is organized and concise. Soon you’ll learn how to do that using slides for discussion during a meeting and a formal presentation. We’ll discuss how the content, visuals and tone of your message changes depending on the way you’re communicating it. And speaking of business communications, one of the many ways that companies use visualization to tell data stories, is with word clouds.
Word clouds are a pretty simple visualization of data. These words are presented in different sizes based on how often they appear in your data set. It’s a great way to get someone’s attention and to unlock stories from big blocks of text where each word alone could never be seen. Word clouds can be used in all sorts of ways. On social media, they can show you which topics show up in posts most often, or you can use them in blogs to highlight the ideas that interest readers the most. This word cloud was created using text from the syllabus of this course. It tells a pretty engaging story where data analytics, analysis, SQL and spreadsheets are, unsurprisingly, some of the lead characters.
This is just the three steps of data storytelling. If there are any requirements or mistakes in this article, recommendation can be done freely. Thanks for your time !
