Data

The release of Tableau 2019.2 is right around the corner, and today, we are talking to the brains behind the latest update. In this episode, InterWorks analytics consultant Robert Rouse welcomes Tableau engineers Samantha Lin and Phil Naranjo as they give us some insight into...

It's episode six, and Will Jones joins the show to share how we communicate data with others. We talk about the importance of understanding your audience, streamlining your message and presenting data in ways that are easy to consume.   ...

My colleagues and I often joke about how the most interesting visualizations on Tableau Public don’t often have much practical application for the boring world of business dashboards in which we operate. At first glance, my Spell-O-L dashboard is no exception. Telling a Visual Story This visual...

In this episode of Quantified, data analysis takes center stage. InterWorks Principal and Analytics Practice Lead Ben Bausili gives us a high-level rundown of what it really means to make sense of your data. We walk through how to use analytics to describe and understand...

Develop. Evolve. Improve. PYD 80 is all about what it looks like to go through the creative process of new-feature generation. Host David Pires welcomes Tableau developer Filippos Lymperopoulos for a discussion on Tableau's latest and greatest MVP, set actions, and what users can expect in...

Sea otters are my spirit animal. So, when tasked with picking a dataset to analyze, it was only natural that I would look for a way to promote the conservation of California’s beloved Southern sea otter. I found the data online via the Western Ecological...

The secret to successful data analysis, you ask? Excellent data preparation. In episode four, we welcome back Matthew Brimer to talk about the ins and outs of data prep. Tune in to learn the ingredients needed to make your analysis sizzle. ...

After last week’s Airtable post, I’m sure all of our readers have been anxiously sitting on the edge of their seats. By now, I hope some of you have had the opportunity to explore Airtable and begin building bases. While I touched on the Airtable’s...

Once you've collected the data, you need a way to store it, right? What good is collecting it if you can't properly store it in a way that's easy to keep and also easy to recall? This week, Garrett is joined by solutions architect Matthew Brimer...

One challenge in building analytical models involves separating signal from noise. Signal describes the patterns we consider “real” in the sense that we believe they reflect a true relationship between the factors we’re analyzing. For instance, if our data indicates that a person’s height is...

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