In her previous role, working as an analyst, Mina discovered Tableau and Alteryx which, at first, she did not realise how life-changing these would be. Prior to discovering these software Mina studied Economics and dabbled in programming to solve her data problems and could immediately see the value in Tableau and Alteryx. Mina has always been analytically inclined and has enjoyed the logic of Tableau and the workflow of Alteryx .
In her free time (not spent in devouring Alteryx or Tableau content) Mina enjoys learning new partner dances and swimming.
As my final post on this site, I have a few pointers I hope future dataschool cohorts can learn from ours: 1. Take advantage of all the socials, but know your limit There are plenty of opportunities to socialise as a company but also with other Tableau and Alteryx...
Want a better way to learn about Tableau Server?
Ever tried to work with multiple spatial objects? Ever failed to get them into one output for analysis? Using Alteryx there is a very simple solution.
Want to create a predictive model in Alteryx but not sure what type of model you are suppose to use?
Want to make a clock chart? You’ve come to the right place.
Sick of waiting 20 seconds for your dashboards to load or interact with? Be sure to check out this new series on improving Tableau performance.
How to make a Timeline/Pipeline/Snake Chart.
The first major distinction between Level of Detail Calculations and Table Calculations: where they are calculated. This decides what data the calculation has access to, what it can and cannot calculate.
Wrapping up this amazing dashboard week with making up this new timeline/pipeline chart using temperature historical data.
Webscraping is a skill which requires practise and benefits from exploration of different tools. This week I explored ParseHub and Alteryx’s Regex tools to extract the data I needed.
Ever wondered which routes to avoid in Paris to skip the traffic?
Ever wondered how to utilise the correlation matrix in Alteryx to inform your Tableau work? Or are you simply interested in the design process and struggles of us dataschoolers? Either way I hope I can share a little of my experience with you.
First day, first challenges: infamous NBA API calling, inspiration from old work and design reductionism.
Convert any window calculation into a level of detail calculation!
Creating one polygon out of many is a simple task in Alteryx; only one tool is necessary. Today we highlight: the Summarize tool.
Aggregation. It’s both the reason Tableau provides you quick answers but also the reason Tableau provides you perplexing results. Time to ensure that quick AND reliable results are returned from your analytics.
Networking, pizza, beer, inside scoops, Alteryx swag, pretty much all you can ask for from an Alteryx User Group.
What makes a good or bad dashboard? Sure this seems like a pretty subjective matter but there are still some good practises which immediately improve the cohesiveness, usability and intuitiveness of a dashboard.