Category: Visualisation

Refuge from the Storm: Internally Displaced Peoples in the age of the Climate Crisis

My entry for the latest #VizForSocialGood Project, examining internally displaced persons and climate change. This was done ahead of the Virtual Refugee Conference during Refugee Week.

I was very happy  that my visualisation was chosen as one of the featured visualisations amongst a strong field of participants.

What is Viz for Social Good?

Viz for Social Good is a social enterprise that uses data visauliastion to open up conversation on key issues facing our world. From their website:

Empowering nonprofits through data story We help mission-driven organizations to promote social good and understand their own data through beautiful and informative

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#MakeoverMonday 2020 Week 23: Animal-free product consumption in Great Britain

Given that I’m a vegetarian, this week’s #MakeoverMonday was particularly relevant. We were asked to visualise some data regarding animal-free consumption in Great Britain.

Here’s my effort, actually done in an hour for once!

Click on the image below to see the interactive (or click here).

The original visualisation

The original visualisation is below.

There are many things I find objectionable about this visualisation. While I often personally use these types of stacked bar charts, this one is sloppy. For instance, the Y axis goes to 125%. The legend might be better off at the top as well.

Design

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It’s all about the bike: First Tableau #IronQuest submission

COVID-19 induced isolation has been good to me in terms of getting time to do some Tableau work. I had my heart set on completing my first ever Iron Quest submission. This months theme was the “Quantified Self”. As soon as I read about the theme, I immediately knew what I wanted to visualise: the cycling history.

What’s Iron Quest?

For those not in the know Iron Quest is an initiative begun by Sarah Bartlett. Sarah describes it on her website as:

Iron Quest is a monthly community-led data visualization project which follows a similar format to

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#MakeoverMonday 2020 Week 21: Revenues by music format over time

I’m back in the #MakeoverMonday fold after a break for a number of months. Being a former music journalist I felt obligated to participate in this week’s challenge which involved 40 years of data on US music sales by format. Here’s the original visualisation from an article by Nick Routley.

While the original visualisation was actually quite good and informative, I did give myself an hour or two to have a play in Tableau Public as well as the open-source GNU Image Manipulation Program (with the problematic acronym) where I had a go at designing a custom logo based … Read the rest

COVID19 and International Students: ABS Overseas Travel Statistics: Total Movement by Visa Group

Randomly, I was looking for some arrival and departure data for international students in Australia, seeking to test the theory that there had not been any mass scale departures of overseas students since Australia declared a COVID19 a pandemic.

Somewhat conincidentally, Professor Andrew Norton tweeted this chart literally hours earlier.

I was immediately alerted to the existence of a brand new ABS dataset. I quickly did a bit of data wrangling/shaping and uploaded … Read the rest

Rich Country, Rich Citizens? | #MakeOverMonday 2020 Week 7

A trifecta of MakeOverMondays complete! This time I went back to the bar for a visual essay examining country wealth. The dataset showed 2019 wealth values per country and was visualised by Credit Suisse like so:

Which is actually a pretty inviting visual just on its own, though proves to be difficult to interpret if you’re interested in small countries.

After some playing around, I mixed in some population data and began to look at it from the point of view of a citizen. Does living in a rich country mean you might be rich? I then brought in data … Read the rest