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Tag Archives: #MakeoverMonday
NYC and rats go hand in hand. And the 311 data set for historical rat sightings is a fun, different and interesting dataset to dive into.
The Global Temperature anomaly data is from HadCRUT office and has the potential incredible visualizations as evident by many examples that have already been built.
Hello again! Welcome back and as always, thanks for reading!
For week 5 of #MakeoverMonday 2019, Andy has given us a stacked bar chart from the European Commission looking at the Digital Economy and Society Index scores for countries in the EU across 5 categories.
What works well
- sorted best to worst
- legend is clear
- title is simple enough
What could be improved
- Stacked bars are good for cumulative comparison but as soon as you add the colors to each bar, I think instinctively a large number of will want to compare the parts to each other. And in this display, doing that is extremely difficult.
I think there’s a way that we preserve the ability to see and compare the cumulative indices AS WELL AS being able to compare each the individual parts.
I think a multi-dimensional dot plot is the best way to visualize this data. I remember WAY back in week 17 of 2017 (Apr. 24) of #MakeoverMonday that Tableau Zen Master, Matt Chambers created a dashboard that is extremely close to the one I want to build for this week. Back then we were comparing a list, compiled by LinkedIn, of skills in high demand. Here is what Matt created, click the picture for the interactive version:
He even wrote up a blog about highlight action piece.
I’m going to #StealLikeAnArtist and use this as a framework for what I’m going to build. Here is what I built. If you want to learn how I built it complete with data prep and calculations, I encourage you to continue reading below, otherwise, click the screenshot for the interactive version
It’s been a couple weeks since I’ve done a makeover. And no time like the present to get back on the horse. So here we go! What are we looking at this week? Okay, so we’re looking at something that probably all of us have looked at some point…our electric usage. So here we’ve got
This week for #MakeoverMonday, Andy gave us some Census data to play with and this infographic to make over What works well Good title and subtitle Nice appealing colors Line colors are Labeled clearly I like the point values on the ends only What could be improved I’m not loving the bottom side-by-side chart. I
For week 24 of #MakeoverMonday, we’re looking at Tourism Density for select countries around the world. The data comes to us from Intrepid Travel. Here’s how they originally visualized this data: What works well I like the panel/grid look They did a good job separating the two categories of countries There’s a lot of text
For week 20 of #MakeoverMonday, we’re looking at traffic data. Europe traffic data to be specific. Check out the original below: What works well Title Axis is labeled Contextual notes are footnoted Columns are easy to read What could be improved I’m constantly confused by the colors, I keep looking for a legend only to
After a small hiatus, I’m back. It was a good break but I’m excited to get back into this. It’s week 14 of #MakeoverMonday and we’re taking a look this chart and table on Worldwide Wine Production What works well The title is good The units are shown. They are explained earlier in the PDF
It’s been a few weeks since I’ve blogged about #MakeoverMonday. But I’m back for this week. This week we’re looking at interesting dataset by the Fraser Institute who is responsible for determining and measuring the economic freedom of every country in the world. This is no small task. They score them on 5 different metrics