At first table calculations in Tableau are challenging to get your head around but are extremely useful. If you haven’t been exposed to them check out Andy Kriebel’s blog on setting them up. Due to their complex nature they often get a bad rep. I hope this blog, showing how to do table calculations in Alteryx vs Tableau, will help you appreciate Tableau’s table calculations more!
Filtering your data set lets you focus in on specific questions. However, dragging the filter to the filters card can be time consuming. Save clicks by following this quick hack.
A lot of information is stored on a Web page. If there is a pinned map you can obtain spatial data. If there is an image you can obtain its URL link to download it. If there is a table you can find the data stored within. Web scraping allows us to obtain this data. In this series of blogs Ellen and I will be showing you how to use Alteryx to web scrape data. We will use a project we completed at the data school looking at the demographics of the areas surrounding Connells branches. The final visualisation can be found here.
This blog will focus on finding geographical data within the HTML of a website.
I’m four weeks into learning Alteryx and if there’s one thing I have noticed it is this; there is usually a way to use one tool instead of a chunky three (or more) tool workflow you have hacked together. This blog post looks at how you can optimise the data input tool to clean up your data source!
Parameters allow for user input into visualisations. Read this blog post if you want to learn how to create a user input dependent calculation in Tableau!