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August 31, 2021

How to Compare to the Average with a Bar Chart

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Context is important in data visualization. For every chart you create, consider asking yourself "compared to what?" 

In this tip, I show you how to add context to a simple bar chart by showing whether a value is above or below the average.

August 30, 2021

#MakeoverMonday 2021 Week 35 - Male Circumcision Around the World

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In this week's Watch Me Viz, I started by showing the original visualization, demonstrated how to make a non-geographical field geographical, and then I spent lots of time working through set action drill down.

I showed how to do drill down to two and three levels of dimensions in a hierarchy. Lastly, while building the dashboard, I also showed how to move fields you select in an action to the top of the view with a sorting calculation.


August 24, 2021

How to Automatically Exclude a Partial Week

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In this video, I show you how to use level of detail expressions to only return sales through the latest completed week. This method will work as weeks complete; you will not need to edit any of the calculations to ensure weeks that close in the future get included in the chart.

#MakeoverMonday 2021 Week 34 - Entry-Level Jobs on LinkedIn Requiring 3+ Years Of Experience

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Eva sent me an interesting, and ironic data set for this week. It's based on a studying done on LinkedIn of jobs that advertise as "entry-level" yet require 3+ years of experience. I'm still having trouble wrapping my head around that.

In this week's Watch Me Viz, I tried something new. I used both Tableau and Power BI. I focused on methods for rebuilding the original chart. Unfortunately, the PBI demo didn't go so well. That wasn't any fault of PBI, but rather my laptop, as I have to run Parallels on my Mac in order to run PBI and I was also live streaming. Either way, I hope you find it useful.

August 19, 2021

#MakeoverMonday 2021 Week 33 - UCAS Daily Placements

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UCAS is a service that helps people find open placements universities in the UK (and hopefully place them). I found this particular data set quite confusing until I looked at this viz from UCAS. I then understood that we were basically looking at the number of applications from UCAS based on the time that has elapsed since exam results days. That probably took me a couple hours to wrap my head around.

I decided to create an exploratory dashboard, focusing on the number of applicants that were placed for women vs. men. Women use UCAS's services way more than men do.

August 9, 2021

#MakeoverMonday 2021 Week 32 - Mortality Rates in England and Wales

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I couldn't find too much to do with this week's data set, so I ended up with some simple BANs and line charts that take the original and reorganize them a bit to make them more clear.


  1. Data set -
  2. Chart Guide -
  3. Final Viz -

August 4, 2021

#MakeoverMonday Week 31 - Bicycle Collisions in London

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This week's data set was pretty straightforward. During #WatchMeViz I iterated through some maps, including joining to spatial files for London, and also lots of time series charts. Below are links to the resources, the video, and the final viz.