New Zealand will always be a very special place to me, we spent a little over 4 weeks there during Christmas of 2009 and I proposed to my wife on Christmas morning at the foot of Fox Glacier. So for this week of #makeovermonday we’re looking at the Regional Tourism Index of New Zealand. I decided to create a trellis chart showing all the different regions in one overview and highlighting those that are outperforming the index for at least one year x amount of times.

You can view the interactive visualisation on Tableau Public by clicking on the image.

This week in #makeovermonday we looked at the tweets of President Elect Donald Trump gathered by the Trump Twitter Archive. I decided to have a look at the hashtag trump is using and how ofter they get retweeted. To do this I split the content of the tweets on the space character and then pivoted those fields to get a single column with the individual words in the tweets. I used that data in a Wordcloud highlighting those that contain the word “Trump” in a different color. By selecting any of the hashtags you can see a top 10 list of the tweets they were used in. You can view the interactive visualisation on Tableau Public by clicking on the image.

For week 2 of #makeovermonday I looked at the iPhone sales per quarter since the launch of the first iPhone. This week I decided to create a Tableau Story highlighting some of the interesting insights I found in the data. I looked at the total of units sold (over 1 Billion!), I highlighted seasonality in the data and looked at the percent change compared to the same quarter last year. You can view the interactive visualisation by clicking on the image.

My 2017 new year resolutions include participating in Andy Kriebel and Eva Murray‘s #makeovermonday every week. For week I looked at a dataset that reported on Gender Income Difference in Australia. I decided to sort the list by percent difference between men and women and give the end-user the ability to choose to have a look at the bottom or top N using a parameter. To show the gap I chose to use a barbell plot. You can view the interactive visualisation by clicking on the image.