Today, we have Zan Armstrong with us to share 3 simple alternatives to aggregating time series data in the usual ways so you don’t lose important nuance. It’s so easy to get pushed into aggregating data a certain way by our software so being aware of some alternatives is really helpful when you’re analyzing and visualizing data. Show notes: https://dataviztoday.com/shownotes/73

73: 3 Ways to Analyze Time Series Data Without Losing Nuance — Featuring Zan Armstrong

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Host and fellow data viz designer Alli Torban is in the trenches with you. She shares the latest tools and methods that she’s discovered while on the job and interviewing top designers.

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There’s no way around it: If you can speak confidently about your dataviz work to other people, you’ll make a bigger impact. But you’re shy, nervous, an introvert, and not a natural speaker! That’s ok. You CAN learn this skill. Cole Nussbaumer Knaflic, a data storytelling expert, best-selling author, and CEO of Storytelling with Data, joins us today to share how to identify and fix those pesky presentation nerves so you can finally have the impact you want. Let’s go! Show notes: https://dataviztoday.com/shownotes/94 Cole's best-selling books including Storytelling with You: https://www.storytellingwithdata.com/books My book Chart Spark: https://www.chartsparkbook.com

94: How to Give More Confident Data Presentations (even if you’re an introvert) — Featuring Cole Nussbaumer Knaflic

Are you looking for ways to make your work stand out in a crowded industry, like sports? Or maybe looking for a topic with pretty clean data to create a portfolio project? In today’s episode, we’re chatting with Shri Khalpada, a D.C. area creative coder and Principal Software Engineer at Cleaning the Glass, which is an NBA analytics website founded by Ben Faulk that’s available to the public and also has more robust tools for NBA teams. Shri shares how he increased his chances of landing a coveted sports analytics job, and a few lessons he’s learned working with sports data that can be applied to any dataviz job. Let’s go! Show notes: https://dataviztoday.com/shownotes/93 Grab my book Chart Spark, which has NINE prompts to help you be more innovative in your data communication: https://www.chartsparkbook.com  If you think the book deserves a review, I’d be so grateful if you shared your favorite part in an Amazon or Goodreads review 

93: How to Leverage Sports Analytics for a Standout Dataviz Portfolio — Featuring Shri Khalpada

Are you ready to write a book? Or maybe see it in your future down the road? Well, I spent hours and hours researching the book publishing process, spoke with tons of authors about their experience, and then lived through it myself. I want to save you some time and share what I learned. Recently I shared all about the process with the Elevate Dataviz Learning Community that I co-founded and I’m sharing that conversation here today… In this episode, I share what's included in a book proposal, how advances and royalties work, what was harder and easier than expected, and much more!! Grab my new book Chart Spark (available in paperback, kindle, PDF, or audioboook): https://www.chartsparkbook.com Hop on our sponsor Data Elixir's awesome newsletter: https://dataelixir.com  

BONUS: Insider Tips for Publishing Your First Dataviz Book

Have you ever felt like you made a big career mistake? Like you completely chose the wrong college major or took the wrong job. Well, today we’re chatting with Charama Sulemane, a data analyst at the United Nations Office for Project Services. But only a few years ago, he was a fresh graduate in Mozambique and found out that no one was hiring for data science jobs in his area. He was questioning his decision to get into this field. But not ready to give up, Charama made a few smart moves that landed him his first job in dataviz. Let's go! Sponsor: Subscribe to the Data Elixir newsletter! Show notes: https://dataviztoday.com/shownotes/92 My book Chart Spark: https://www.chartsparkbook.com

92: How to Navigate a Dataviz Career in Mozambique — Featuring Charama Sulemane

Data Viz Today, hosted by Alli Torban, is a friendly and insightful podcast for anyone interested in data visualization. It offers practical advice, showcases the latest tools and methods, and features inspiring stories from the field, aimed at analysts, journalists, and designers seeking to refine their data viz skills. Show notes: https://dataviztoday.com Chart Spark book: https://www.chartsparkbook.com Elevate Dataviz Learning Community: https://www.elevatedataviz.com Follow Alli Torban on LinkedIn: https://www.linkedin.com/in/allisontorban

73: 3 Ways to Analyze Time Series Data Without Losing Nuance — Featuring Zan Armstrong

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