by Christopher Ktenas | Mar 27, 2020 | Christopher Ktenas
Predictive Analytics and machine learning evoke a certain kind of buzz, combining science and analytics to output an algorithm. In today’s blog, I will go through the process of predictive analytics in Alteryx, while explaining some key terms and requirements to...
by Christopher Ktenas | Mar 27, 2020 | Christopher Ktenas
The final day of dashboard week gave Data School 5 from 9 pm to 3 pm to deliver a Dashboard on the United States’ top 500 cities chronic diseases. Using the experiences I learned throughout the week, I will first explain in this blog how I approached the day,...
by Christopher Ktenas | Mar 27, 2020 | Christopher Ktenas
Day four of Dashboard week saw DSAU5 working with US Consumer spending between 1959 to 2018. The data provided an eight-level hierarchy and our challenge was to firstly clean the aggregation in the data, normalize the data, and as always make an interesting story out...
by Christopher Ktenas | Mar 27, 2020 | Christopher Ktenas
Dashboard Day 3 presented DSAU5 with Kickstarter Data. The premise of this challenge, however, was not to use Alteryx, but instead do all necessary data manipulation in tableau prep, or tableau desktop itself. Fortunately, the data was quite clean, so we plowed on...
by Christopher Ktenas | Mar 27, 2020 | Christopher Ktenas
Mobile phones and tablets are becoming increasingly important for dashboard design, fulfilling the purpose of conveniently accessing information while traveling. In today’s blog, I use the excuse of needing to complete my Tableau Resume to revisit this topic and share...
by Christopher Ktenas | Mar 27, 2020 | Christopher Ktenas
In a previous blog, I suggested three charts to analyze a conjoint analysis, with my last suggestion being a radar chart. Knowing that it was a simple chart to build in excel, I thought it must not be very difficult in Tableau. Unsurprisingly, there is content out...
