In this chapter, you'll review the importance of stories for conveying information to your audience, as well as the principal tools to do so.

The importance of stories

Options

True

False

Data storytelling in action

Getting the message across

Planning for success

Data Science Process

Applying the workflow

Defining your audience

Green businesses in Colombia

Evaluating a question

Can I answer this?

A preview

Effective Data Storytelling

In this chapter, you'll practice previously covered topics to create a data storytelling product based on the green businesses dataset.

Let's tell a story

Variables, variables, variables

New metrics

Choosing a visualization

Useful attributes

The best plot?

Less is sometimes more

Best practices

Use of labels

Use of color

Color blindness

Wrap-up

Creating a Story

Green businesses dataset

You have completed some introductory courses on data storytelling, now it's time to practice! In this case study, you will review the necessary skills to communicate complex data insights in a compelling and accessible way. You will achieve this using a real-world example from a dataset containing information about the certified green businesses by Colombia's Ministry of the Environment and Sustainable Development. In particular, you will cover the process of planning and implementing a data storytelling project, including some best practices regarding the use of color and labels to aid your communication task. As such, you will be one step closer to mastering the craft of designing data-driven storytelling products from start to finish.

Practice data storytelling using real-world examples! Communicate complex insights effectively with a dataset of certified green businesses.

Data Storytelling Case Study: Green Businesses

Data Storytelling

Create an outline of the result you expect at the end. For example, understanding enrollment disparities among different programs.

Create a sample dataset of hypothetical information about enrollment in order to identify errors as early as possible.

Gather, clean and prepare data tabout the enrollment of men and women in higher education programs in the US.

Use descriptive statistics to understand the enrollment data and identify insights to communicate.

Create a data visualization such as bar charts or scatter plots to communicate the insights you discovered.

Applying the workflow

Data Storytelling Case Study: Green Businesses

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