A “Merry Christmas” makeover to end the year with*, looking at a Statista graph of Christmas tree sales in the US from 2004 to 2016. The original is a nice simple bar chart, which clearly shows the breakdown between sales of real and fake Christmas trees in America. It’s a little hard to see the actual proportions and that’s one thing I wanted to hit in my makeover. ...
Cruising towards the end of a year of weekly makeovers with a look at over 176 million daily maximum and minimum temperature readings from around the world, over three centuries. As noted by many others, this weeks original visualisation is a tough act to follow – why try to make it better? Well I didn’t! I spent all of my time digging around what was a fascinating data set. In the end my “makeover” is simply a look at how anomalies can just be down to the fact that locations for temperature readings / estimates are introduced over time. The seeming false start for Senegal being a good case perhaps! Equally when temperatures from Antarctica were introduced is it surprising that we see the minimum temperature for the year drop dramatically? What about the impact of elevation of weather stations – over time readings are being taken from more extreme locations and I didn’t even get into looking at that! ...
This week we take a look at barrier free buildings in Singapore. The original visualisation is part of a site by the Building and Construction Authority in Singapore (BCA). Although the site requires Flash to be available and enabled in your browser, there is a great range of information available if you do have Flash. From the map of an area you can drill into information about individual buildings. We didn’t have quite the data to do that (not having the building ID or the depth of information about each building). Nevertheless is was interesting to attempt to makeover the map to: cover more areas and be a little easier on the eye. Most of the info is available via hover over, but I’ve also added an inset bar chart to show how the selected area compares to the “best” and “worst”. ...
Another double header post! Brief notes on this weeks makeover and last weeks. Week 48 Last weeks data asked what if the world was made up of just 100 people. The original is visually interesting but hard to read as all categories are combined into one overall circle. A problem with percentages is a lack of perspective of just how many people are affected by something like starvation or malnutrition. There were some great examples from the community showing the actual number of people involved in the real world. I wanted to take this a step further and provide access to a story about just one person. The power of a story over a statistic is really interesting me at the moment as a result of a human centred design project I’m involved in. ...
Week 46: Original: The world’s top cities for sustainable transport. Makeover: Tableau public: link Notes: nothing particularly special here! The breakdown per continent allow two of the key stories to emerge. Hong Kong is top but there is a high concentration of European cities at the top of the ranking. ...
Not so much a makeover for me this week. The original chart was a WHO map of life expectancy data. I’ve just looked at a simple comparison of a country of the viewers choice with the two countries with the highest and lowest life expectancy at birth for a given year: Want to try different countries or years? Click through to the Tableau public version. ...
For week 44 of #MakeoverMonday Eva selected a Daily Telegraph article mapping the countries with the most public holidays. Nice map – although as ever with filled maps there are data points that get a little lost (the smaller countries). The lists work well to make up for this, although they’re pretty basic and unexciting. The dataset was quite challenging this week – broader than the original article, lots of variation and some data quality issues. I’ve decided to focus on a specific public holiday, labour day, because it was easier to hone that subset of the data for analysis and visualising. Labour day is also reasonably prevalent and it’s roots are a great reminder to us all about striking a suitable work-life balance! ...
A tough week for me with a hectic work week and a struggle for #MakeoverMonday inspiration. The aim was to makeover this Myers Briggs chart. I like the 4×4 grid representation of the original as we are basically looking at a mix of four attributes. I don’t really get a sense of the percentages / proportions though as every segment of the grid is the same size. I also had to flick back and forth between another page on the site to get a more detailed explanation of what the letters mean. ...
Making over a table of Formula E racing results from the FIA Formula E website this week. I was interested in how drivers progressed from practice to qualification so went with a bump chart. I’ve highlighted the winner but dashboard actions also allow the user to highlight the driver that they are hovering over. This way they can see how each driver’s performance changes during an event because the bump chart is quite hard to follow otherwise. ...
Just a brief write up for now! Andy and Eva chose charts relating to adult obesity in America for the 41st makeover with the source data coming from the CDC. The original charts are part of an interactive dashboard and it is well worth checking out. Similarly to Klaus Schulte I decided to dig into gender differences. Klaus’s makeover is very nice so definitely go take a look at that. ...