Host announces completion of their book 'Chart Spark', invites listeners to schedule virtual coffee chats to celebrate book launch

In this episode, we explore Dr. Barbara Wixom's insights on the three main ways companies (or even freelancers) can monetize data and dataviz, drawing from her extensive research and the insights of her book, Data is Everybody’s Business. She shares the patterns of successful data monetization gathered over 29 years and we brainstorm ways it applies to dataviz work. Also, since Barb was a client of mine, we get a sneak peek into clients' top concerns when beginning a dataviz project so we can improve our processes. Let’s go! Show notes: https://dataviztoday.com/shownotes/88

As data people, we tend to be more logical and analytical, which makes navigating creativity’s ambiguity a little tricky. So I called on Andy J. Pizza to help us out. To me, he is creativity personified — illustrator, author, podcaster, and more! He’s worked with big clients like The New York Times and Nickelodeon, and has a new book coming out where he illustrates “invisible things.” In this episode, Andy shares how his ADHD has become his superpower in his creative work, the little tricks he’s found that help him create, how he sees critique in a new way, and he shares his three phases of inspiration. Plus, Andy predicts what will be necessary for creators of all kinds in a future full of artificial intelligence. Even though he’s not a dataviz designer, you’ll see many parallels in your work. Let’s go! Show notes: https://dataviztoday.com/shownotes/87

In this episode, I share the framework that helps me decide when to stick with “best practices” or try a new approach in my visualizations. We explore four key variables: the reader's time and patience, the need to capture attention, past struggles conveying a concept, and the designer’s available time and resources. Let’s go! Show notes: https://dataviztoday.com/shownotes/86

In this episode, we dive into the world of scientific visuals with Jen Christiansen, Senior Graphics Editor at Scientific American and author of the new book Building Science Graphics. Jen shares when to consider including visuals in your work, the power of “welcoming gestures”, and the effectiveness of comics in explaining complex concepts. We also discuss collaboration, the strategic use of arrows, and how to keep your projects organized. Let's go! Show notes: https://dataviztoday.com/shownotes/85

In this episode, we explore how to practice openness through a fun activity that combines serendipity and structure. London City Hall's Data Visualization and Information Design Lead, Mike Brondbjerg, shares how he creates beautiful pieces of art dictated by the roll of a dice, and how these serendipitous experiments led him to create an incredible 3D flower project with census data! Let’s go… Show notes: https://dataviztoday.com/shownotes/84

What’s it mean to X-ray a dataviz? This is my new method to make sure I learn from my dataviz inspiration and organize it in a way that helps me use it later. In this episode, I’ll share what it is and how you can X-ray dataviz too. Let’s go! Show notes: https://dataviztoday.com/shownotes/83 Join my newsletter: https://dataviztoday.com/newslettersignup

We know that we’re supposed to gather inspiration, but then what? Gabrielle Mérite, a senior data visualization designer at Pentagram, shares what to do with your inspiration to put it to work for you! Join my newsletter! https://dataviztoday.com/newslettersignup Show notes: https://dataviztoday.com/shownotes/82  

Why are habits/rituals important to your creative practice and what are some examples? Duncan Geere, Will Chase, and I share what's been most impactful to our dataviz practice! Shownotes / watch video: https://blog.elevatedataviz.com/the-elevate-dataviz-show-6 RJ Andrew's creative rituals infographic: https://infowetrust.com/project/routines

How do you approach creativity for personal projects vs business intelligence? That's our big creativity question today for Neil Richards. Neil Richards is the author of the new book Questions in Dataviz, Lead Business Intelligence Analyst at JLL, and four-time Tableau Visionary. Show notes: https://dataviztoday.com/shownotes/81