Read and click through the Tableau story below to learn more about it. Click on the far right of the Tableau toolbar to view in full screen. Another new chart type I invented is the Polyarea chart, which you can read about here.
A blog about Data Visualization, Data Science, and work by Alex Katona. I'm passionate about advancing the field of Data Science. I use this blog to share my ideas, projects using various technologies (Tableau, D3.js, R, Python, etc.), and connect with others. I've been internationally recognized for my work from companies like Forbes, Kantar, and Tableau.
Showing posts with label Tableau. Show all posts
Showing posts with label Tableau. Show all posts
August 25, 2019
Introducing the "Change plot"
A common issue I've seen is how to visually represent percentage change and current values for a high number of categories at the same time. To solve for this, I created a new chart type called the "Change plot."
Read and click through the Tableau story below to learn more about it. Click on the far right of the Tableau toolbar to view in full screen. Another new chart type I invented is the Polyarea chart, which you can read about here.
Read and click through the Tableau story below to learn more about it. Click on the far right of the Tableau toolbar to view in full screen. Another new chart type I invented is the Polyarea chart, which you can read about here.
August 15, 2018
Best of Marketing Dashboards by Tableau
Tableau compiled the best presentations of marketing dashboards from their customers and the dashboards that Tony Valeriano and I created for our Tableau Conference 2017 presentation made the list!
This was announced in Tableau’s newsletter that was sent on 8/14/18. Our presentation is the first one listed under the Analyst section. You can watch the presentation on Tableau's website or embedded below. There are photos from the presentation on this post.
August 13, 2018
Popping Parameters for Tableau 10.4 and above
My Next Level Popping Parameter blog posts have been very popular. However, Tableau has made changes to the software which broke the method that was used to create the functionality for the Part 1 post. For Tableau versions 10.4 and above, it requires a new method of creating popping parameters that is described below. For this post, I'm using Tableau Public 2018.2.
August 1, 2018
Tableau Conference sessions now available on YouTube
The Tableau Conference sessions where my work was presented are now available on YouTube. There are photos from the 2017 presentation on this post.
2017 session where I presented titled “Macy’s: Cracking the code of A/B testing and market basket analysis”:
2015 session that my manager presented titled “Making Data Visualization Actionable at Macy's”:
2017 session where I presented titled “Macy’s: Cracking the code of A/B testing and market basket analysis”:
2015 session that my manager presented titled “Making Data Visualization Actionable at Macy's”:
October 16, 2017
Tableau Conference 2017 Presentation
Thanks to everyone that attended my presentation at the Tableau Conference 2017 and watched online The presentation is now available on YouTube and the dashboards in this presentation were selected by Tableau as some of the Best of Marketing Dashboards across all of their customers!
I included some pictures below (click to expand):
I included some pictures below (click to expand):
August 1, 2016
How to create a Polyarea chart
I was interested in displaying the percent of total for many
categories over time. However, I didn’t want to use a stacked bar chart or
stacked area chart. This is primarily because it can be difficult to determine
if the categories in the middle of these charts are increasing or decreasing
over time since there is no common baseline. I created a new way to visualize
this data in Tableau that combines many area charts (hence the name
Polyarea chart). This can be built in less than a few minutes. This chart has been internationally recognized and can also be created using D3.js.
November 17, 2015
Using embedded extracts to edit published data sources on Tableau Server
There are advantages
to using a published data source, but there is one downside to using them. As mentioned in this link,
it is not possible to edit a published data source directly on Tableau Server
and requires that the developer make a local copy of the data source. The
method described in the link is not ideal for the following reasons:
August 25, 2015
Response to specific date functionality question
I've received some great feedback from the Tableau community regarding my blog post about How to default your Tableau dashboard to yesterday (quadrupled my Total Site Pageviews!) so I thought I would answer a question that I received on Linkedin about a specific date functionality:
July 3, 2015
Next Level Popping Parameters, Part 2
This is Part 2 of the Next Level Popping Parameters series. Part 1 of this series describes how to make horizontal Next Level Popping Parameters and Part 2 describes how to make them vertically. The methods that I’ve developed build upon the work that has been done by The Information Lab involving Popping Parameters.
Next Level Popping Parameters, Part 1
Before we get started, I thought it would be good to answer
the following question: What are popping parameters and why should you use them? "Popping Parameters" is a term created by The Information Lab that refers to the idea of limiting what parameters are displayed
to the user based on what the user has selected.
How to default your Tableau dashboard to yesterday
A common request when building a Tableau dashboard is to have the dashboard default to a specific time frame (e.g. yesterday or the last 7 days), but also allow for the ability to select a custom date range. This post focuses on how to build this functionality.
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