storytelling with data podcast

Honing your own data visualization and storytelling skills is one thing. But what about when you want to help others around you? In this episode, Cole discusses what you can do—whether a manager interested in developing your team or an individual interesting in influencing those around you—to cultivate organizational capabilities for effective data storytelling. Cole also addresses listener questions on when we should use graphs, data viz tools for beginners, and getting effective feedback.

In this episode, Cole talks with data storyteller and author of recently published Info We Trust: How to Inspire the World with Data—RJ Andrews. They converse over coffee in his San Francisco kitchen, discussing the book, RJ’s unique creative process (including the 300+ hand drawn images that fill the book)  and sources of inspiration for data storytelling.

How did you learn to visualize data? Professionals in this space hail from a wide variety of backgrounds and in this episode, you’ll hear a dozen responses to this question, from artists, mathematicians and more. Listen to these industry leaders’ captivating stories and anecdotes—while learning lessons that you can apply to hone your own data visualization skills.

Why do new year’s resolutions often fail? How do we set good goals? In this episode, Cole discusses the quarterly OKR goal-setting process she learned at Google and how it can be used to foster intentional actions, help achieve major accomplishments, and contribute to success—in work, and in life! Cole also answers listener questions on graphical literacy, how to convince someone that story isn’t fluff, and tips for ensuring success when crafting data stories that someone else will present.

What is the Third Wave of Data Visualization? Elijah Meeks believes it’s happening now and that it means changing constructs and possibly priorities for practitioners. In this episode, Cole sits down with Elijah in Miami after his closing keynote presentation at the Tapestry conference. They discuss his presentation, moving past optimizing for a single chart, building trust to push boundaries, teaching stakeholders data literacy, and more.

It’s a community project, it’s a book, it may even be a way to land a new job! Hear Cole talk with coathors Andy Kriebel and Eva Murray about their writing process and lessons from #MakeoverMonday: Improving How We Visualize and Analyze Data, One Chart at a Time, including the importance of simplifying and iterating, why feedback posed as a question can be less intimidating, and experimentation as a way to learn how to better visualize data.

Could the process of choosing where to live give us some insights on choosing the “right” graph? When it comes to your data presentations, how do you choose the right graph? Is there even such a thing as the “right” graph? In this episode, Cole shares some updates on life changes, discusses the concept of graphing for exploring and understanding your data, graphing for communicating, and some tools that may make your process for landing on an effective visual more efficient.

After a brief pause, the storytelling with data podcast is almost back with a replay of a recent podcast Cole did with Moritz Stefaner and Enrico Bertini of Data Stories!  

Do graphs always have to have a zero baseline? Are pie charts evil? Is there a single, “right” answer? In this episode, Cole discusses a number of myths and a few rules in data visualization. She also answers listener Q&A on how to deal with presenting materials you aren’t necessarily proud of, strategies for graphing uneven time intervals, and tips for teams interested in developing data visualization skills.

Truth or Lie? It isn’t that simple or binary when it comes to visualizing and communicating with data: there is a spectrum. In this episode, Cole talks with special guest, famed professor, author, and data journalist Alberto Cairo, about truth with a lowercase “t,” his efforts to bring graphical literacy to the public through the Visual Trumpery tour and his upcoming book, parallels between data visualization & writing, and more.

Whether it’s a graph, a slide, a presentation, your message, a story—there can be immense value in talking through it, out loud. In this session, Cole discusses her experiences and the benefits to speaking out loud to refine, practice, and identify better solutions. Cole also answers listener questions on the use of pictures in data visualization, tricks for formatting axis labels, and how to apply data storytelling to augment regular reporting.

We often complain about the constraints we face when communicating via a presentation: we don’t have enough time, we don’t have the right tools, we are only allowed a limited number of slides. In this episode, Cole discusses how constraints can actually be amazing and how imposing constraints intentionally on our work can better arm us to deal with those constraints that are less in our control.

“It depends.” These two simple words can answer a number of questions raised when it comes to visualizing data and communicating with it effectively. In this session, Cole discusses 10 common data visualization questions where the answer is “it depends” and discusses what it depends on and the critical thought process required for success in this space. Cole also answers reader questions on considerations between lower and upper case in data visualization related text and Excel resources.

“How did you start storytelling with data?” is a question I receive frequently. In this episode, I’m interviewed by my husband, Randy, and field questions on how it all came to be, including finding balance between work and family, some book-writing tips, and my outlook on where SWD will go from here

The term "storytelling" is more popular than ever—but moving beyond the buzzword—there is real impact that you can have by framing your data in story. In this episode, Cole shares her perspective on what makes a story and why those working with data should care. She tackles listener Q&A on data visualization vs. storytelling, NFL football stats, and how to tell when a visualization is complete.