Doing data science work means a lot of different things to different people. Many techniques exist for accomplishing the tasks that are needed to solve data science problems. Getting the data right, however, is important in all projects and Alteryx allows us to accomplish that goal.
When data comes flying at you at nearly the speed of light, you have to have fast processing capabilities for using the data to make effective decisions and predictions. In this article, I present some techniques I use to process large data sets in Alteryx and Tableau to be able to see the truth of what lies within the data.
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.
We recently made a discovery that allows us to use Alteryx and Tableau with the IBM BigInsights Hadoop platform. This article describes how that happens.
The workshop that accompanies the Big Book of Dashboards is excellent. I had a great time during the inaugural course and I encourage anyone interested in this topic to attend a future workshop, if possible.
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.
In my continuing series of understanding air temperature changes over time, I go deep to develop predictive models of air temperature changes at over 3200 monitoring stations. Alteryx and Tableau simply were outstanding in allowing me to perform this work in a couple of nights.
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.
In this article, I compare two working methods for people doing data analytics. I explain the differences in the approaches and why I have switched my working methods from one to the other.
Some articles form quickly, some take a long time to gel. Twenty, thirty, forty drafts of this one have not been enough.
I don’t know how I can possibly explain to people who might be interested in learning how to become better workers with data, but I have tried to do it with this writing. I have tried to explain what has taken me 30 years to realize.
This work is borderline philosophical but it is based in experience and backed by my observations on what works and what does not work when it comes to achieving better data comprehension.
Do you want to drive a high-powered computer? If so, take a 15 minute tutorial on how to use Google Photos to to make great photo collections for your friends and family.
When you present your data to Tableau, it is possible to fool the data interpreter. When this happens to you, you can become frustrated. To learn how to understand and then resolve the problem, just read this article.