Global warming has been visualized using world-wide temperature anomaly data. This work uses a pre-computed data set to understand temperature changes over the past 7 decades.
In this article, I describe the motivation behind my previous article. The clickbait method was used to entice people to read the article. In this article, I describe where I got the idea to do this.
This is the second of a three part series showing how Tableau, Alteryx and Power BI can be used to perform trend modeling of data. In this article, Alteryx is used to perform the work.
This is the first of a three part series showing how Tableau, Alteryx and Power BI can be used to perform trend modeling of data. After these three demonstrations are complete, a competition using worldwide data will be completed to see which software platform performs the best on completing this type of work.
Three years have come down to this article. I now feel that I have a good grasp on the spatial and temporal changes in temperature over the past 50 years. I feel like I have now achieved one of my goals in doing this work.
In this article, I give links to monthly aggregated temperatures, as well as decade aggregated results. These files are much smaller than the daily data files and should be easier for most people to render in Tableau or their favorite graphics package.
This is the first article of a series that will give download links to the processed global climate data sets I have developed. This article contains daily temperatures from monitoring stations around the world.
June 6, 2017 was a great day for me. I was able to discuss three years of work with a room full of people at the Alteryx 2017 Inspire Conference. It was dream come true.
It has taken me eight months to finish this series on achieving data comprehension. This is the third and final installment that explains how I have learned to be a data exploiter. You will need to read the article to find out what that means.
I presented this talk on May 4, 2017 in Austin, TX, at the Tableau customer summit. I want to say thanks to Brenda Akers for asking me to do this because it gave me a chance to share my work from the past few years.
This is a fun article. I created a Tableau dashboard that allows us to view 55 years of temperature data to see if global warming is impacting where we live. When you spend a little time using this tool, you will have a better appreciation of the variability of weather and the difficulty of concluding anything about global warming.
I take a detailed look at maximum air temperature changes over North America. I wanted to see what has happened over my lifetime, or over the past 5 decades. The results are very interesting, at least to me.
The more I work with this data set, the more I want to know about how our climate is changing. There are so many questions I have and in this article, I have been able to answer a few of them.
I had an idea about global climate changes that I wanted to investigate. When the analysis was finished, the results surprised me and have helped me begin to understand the air temperature changes that are occurring around the world.
I am on a quest to learn about global climate changes. I am using the power of Alteryx and Tableau to analyze various types of climactic data from around the world.