The podcast discusses using Alteryx to analyze climate change data, including patterns found, surprising discoveries, geographically distributed patterns of change, and the impact of human activities. It emphasizes the importance of educating oneself about climate change through resources like Tableau dashboards and personal observations.
Analyzing climate change data using Altrix can uncover patterns and insights that support the validity of climate change claims.
Altrix's tools and workflows provide speed and flexibility for effectively analyzing historical temperature records and simulating global warming patterns.
Deep dives
Ken Black's Climate Change Data Project
Ken Black discusses his decade-long project analyzing climate change data using Altrix. He initially started out to examine the validity of climate change claims and ended up uncovering patterns and insights in the data. Black highlights the importance of looking at historical temperature records to understand climate change and shares how his analysis evolved over the years. He explains that his models and predictions have been surprisingly accurate, allowing him to make projections on global warming patterns. Black also emphasizes the power of data analysis in understanding extreme weather events and the need for people to examine the data for themselves.
Analyzing Climate Change Data with Altrix
Ken Black recounts how he utilized Altrix's tools and workflows to analyze climate change data. He describes the challenges of accessing and processing the data due to its antiquated storage methodology. However, Altrix allowed him to read and interpret the data effectively. Black explains how he identified patterns and changes in temperature by examining historical data and creating models. He emphasizes the speed and flexibility of Altrix, which enabled him to simulate global warming across thousands of stations. Black also compares his own model with AI/ML models and discusses the predictive capabilities he has developed.
Insights from Climate Change Data Analysis
Ken Black shares the insights and findings from his climate change data analysis. He highlights the consistency and predictability of certain weather events by examining data patterns for specific locations. Black discusses examples such as heatwaves in Europe and the shifting temperatures in Russia. He emphasizes that his work is not about predicting global warming universally, but rather understanding the patterns of change in various regions. Black also addresses the impact of factors like greenhouse gases and volcanic eruptions on temperature distribution. He encourages individuals to delve into the data themselves to grasp the realities of climate change.
Sometimes, data scientists are more scientists than data. Conducting your scientific analysis can seem intimidating at first glance. In true Maveryx spirit, Ken Black built a robust research system using the Alteryx platform for his personal use, researching climate change using publicly accessible data. What did he find? Tune in to this week's episode to find out!
This episode was produced by Megan Bowers, Mike Cusic, and Matt Rotundo. Special thanks to Andy Uttley for the theme music and Mike Cusic for the for our album artwork.
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