VizWiz

Launch, grow, and unlock your career in data
Showing posts with label ireland. Show all posts

August 7, 2018

Makeover Monday: Jumpy Curvy European Irish Whiskey Sales

, , , , , , , , , , , No comments
A big part of learning at The Data School is the students teaching what they learn. Last week, Nil Macher created this jump plot of The Big Mac Index based on a technique he learned by downloading this viz from Mark Bradbourne and reverse engineering it.

Nils' viz inspired by Mark Bradbourne

Today, Nils taught us how he shaped the data and built the viz, then we each took a Makeover Monday data set and applied what we learned. I chose to use the Irish Whiskey sales data from week 11.

I started by shaping the data in Alteryx via these steps in my workflow:


I then created a jump plot similar to Nils and also found a curvy plot interesting too, so I decided to include both via a parameter. Another fun day of learning! Never stop!

March 11, 2018

Makeover Monday: The Twisted Nature of Irish Whiskey Sales

, , , , , , , , , , 4 comments
St. Patrick's Day is nearly upon us and we're partnering with The Information Lab Ireland and Glendalough Distillery to give away three bottles of whisky. You can find the details here.


Also, thank you to BordBia for providing the data that they collected from The IWSR. Let's have a look at the visualization to makeover from Bloomberg Businessweek:


What works well?

  • Overall the design is clean, including minimal gridlines.
  • Showing cumulative growth since 2011 makes it easy to compare the regions.
  • The region colors are easy to distinguish from one another.
  • The subtitle tells me what the chart is about.
  • The legend is prominently placed so that we know it's important.
  • Putting the axis on the right speed processing because the axis is next to the end of the lines.

What could be improved?

  • Labeling the lines directly would remove the need for the legend.
  • Labeling the ends of the lines would tell us what the growth actually has been.
  • The title isn't very relevant to the data. Why does this make the Irish lucky? A better title is needed.
  • So what? What are we supposed to get from this?

My Goals

  • There are a lot of countries and a lot more years in the data set, explore them and look for stories.
  • Consider the regional aggregations to see if there's an significance.
  • Look at both volume and change. Looking at just change doesn't factor in the volume that each country imports.
  • This is time series data, so spend time looking at line charts.

After playing with data for a while, I remembered this great viz by Emily Chen and thought it might fit well with this data set because whiskey sales within Ireland have decreased. I used her viz as my style guide to create my Makeover Monday week 11.

Subscribe to: Posts ( Atom )