When I saw the Olympic medals won by each country by year infographic on nytimes my jaw almost dropped, go ahead see it and come back, I am sure you will love it too.
It is one of the coolest visualizations I have seen in the recent past and I see infographics all the time, its my passion.
So, I wanted to see if this infographic can be done in Excel, not pixel to pixel, but something close enough to pamper my ego. I was able to create something that looked like this:

Download the Total Olympic medals won by each country since 1896 excel sheet and play with it.
If you want to know how this is done, read on 🙂
1. My first challenge is to get the Olympic medal data per country
Thankfully, Olympics site has the medal counts by country data for each of the 25 editions of the summer games, [click here for 1896] I have copy-pasted the data to my sheet.
2. Next challenge is to find average latitude, longitude for all countries in the world
Thankfully CIA World fact book has the exact data for each country in a table, another ctrl+c, ctrl+v and I have the data in my sheet. [slightly refined data can be found on maxmind as well]
3. Now, the data is not clean
Unfortunately the data copied from Olympics site and CIA fact book doesn’t match as country names were different (USA, United States, United States of America for eg.), country names kept changing (do you know that Australia was called as Australasia sometime back.. :D). So I had to do quite some clean up (mainly using vlookup, filtering unique items etc.)
Finally, I had the data in a tabular format, country names, latitude, longitude, total medals won in rows, Olympic years in columns (1896 to 2004, except 1916, 1940 and 1944 when the games were canceled)
I had to convert latitude and longitude to y and x co-ordinates respectively so that I can plot them on 2 dimensions. I used this logic to do it:
x=(180+longitude)*(map-width/360)
y=(90-latitude)*(map-height/180)
4. Add a scroll bar form control and use it to select the year from 25 Olympic years
This was the easy step. I selected Menu > View > Toolbars > Forms to show the forms toolbar and then inserted a scroll bar control to my sheet. Then I associated it with a cell my sheet and limited the values to change between 1 and 25 (each increment for one of the 25 Olympic years)
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Now, I have associated this scroll bar cell to fetch one Olympic years worth of data.
5. Create a bubble chart with the medal data
Now that I have the data in the format of x, y co-ordinates, medal count for each country for the selected year, I have created a bubble chart with this information, showing bubbles at each pair of (x,y) in the list.
6. Finally, show an outline map of the world in the background

The last step was easy, I searched for an outline map of the world and used it as my chart background, even though this is not part of the original NY Times infographic, it helps me in ensuring that the bubbles are indeed shown in the right places.
Of course there are some differences between my infographic of Olympic medal count and that of NY Times’, mainly,
- The bubbles overlap, but there is nothing I can do about it without writing additional logic. But as Nathan points out, non-overlapping bubbles may be slightly inaccurate.
- The other is, color of bubbles doesn’t change based on the continent it belongs to. Well, this can be done by editing the bubble colors manually, so I gave up.
- Finally, very few countries are omitted in this, mainly due to geopolitical changes, like Germanies getting united, Koreas getting separated, more countries becoming China :D, I did clean up 99% of the data, but there is always a troublesome country you never heard of.
Make sure you download and play with total Olympic medals won by each country since 1896 excel sheet
What do you think of this?
Also see: The art of excel charting – making ubercool dashboards
Junk the default charts, use this art grade templates instead
Did you fire a bullet graph today?

















18 Responses to “Best Charts to Compare Actual Values with Targets – What is your take?”
Great post. I can't vote, though, because the answer I want to put down is "it depends". As with all visualisations, you've got to take into account your audience, your purpose, technical skills, where it will be viewed, etc.
I'm with Andy: It depends. Some I would use, some I might use, some I won't touch with a barge pole.
Naturally I have comments 🙂
The dial gauge, though familiar, is less easy to read than a linear type of chart (thermometer or bullet). It's really no better than the traffic lights, because all it can really tell you is which category the point falls in: red, yellow, or green.
By the same token, pie charts are so familiar, people don't know they can't read them. Remember how long it takes kids to learn to read an analog clock?
Bullet charts don't show trends.
With any of the charts that have a filled component and a marker or ine component, it makes more sense to use the filled component (area/ column) for target, and the lines or markers for actual.
[...] Best Charts to Compare Actual values with Targets (or Budgets … [...]
I voted for #6 even though I agree with the other comments that it depends.
The majority of the votes are for the #2, thermometer chart. I still have yet to understand what happens when you are above plan/goal, which was brought up in yesterday's post.
Also, I agree with Jon in that it would be better to flip the series and make the filled part the target or goal and the line or marker the actual.
I am also a fan of using text when appropriate if the data is among other metrics in a type of dashboard. Calling it out by saying actual and % achievement is a good option.
Another "it depends" vote. Are you just looking at one or are you comparing a number of targets with actuals? You didn't include a text box. The problem with sentences is that they can get lost in a page of gray text. A text box can call attention to the numbers and line them up effectively.
I'm with Jon: "Some I would use, some I might use, some I won’t touch with a barge pole" and I'm surprised that some of your readers voted for the last group.
Jon says:
With any of the charts that have a filled component and a marker or line component, it makes more sense to use the filled component (area/ column) for target, and the lines or markers for actual.
Why does this make more sense? I like 6 the way it is, although I would use a heavy dash for the plan/target marker.
"It depends" is also my take. What I usually try to drill into my clients dashboard design is the fu ndamental difference between spot results (am I on target for this month) and long term trends.. I always try to create 3 different set of graphs to represent real perormance:
- spot results vs objectives
- cumulative results vs objectives
- long-term trend (moving average) mostly) to see where we're going
[...] Best Charts to Compare Actual Values with Targets – What is your take? (tags: excel charts) [...]
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Jon says:
With any of the charts that have a filled component and a marker or line component, it makes more sense to use the filled component (area/ column) for target, and the lines or markers for actual.
Why does this make more sense? I like 6 the way it is, although I would use a heavy dash for the plan/target marker.
I totally agree, Bob. I would normally favour a line for the target and a column for the actual, you can see quite easily then which columns break through the line, then.
[...] best charts to compare actual values with targets — den Status mal anders zeigen, z. B. als Tacho [...]
Thermometer charts: "Not appropriate when actual values exceed targets" - this is easily solved by making the "mercury" portion a different color from the border, then you can clearly see where the expected range ends and the actual values keep going.
People seem to knock gauges quite a bit in dashboarding, but trying to show comparison of realtime data between operating sites and targets for each site can easily be done with a bank of gauges that have the optimal operating points at 12 o'clock.
The human eye is great at pattern stripping, and any deviation of a gauge from the expected 12 position will quickly register with an operator and attract his attention. Using a colour background, or meter edge, will also indicate the sensitivity of a particular site.
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I am wondering how will the plotting work, for some of the targets which may have been achieved before time. E.g. for the month of Jul the target was 226 and the actual was 219. So the chart will show a deficit in meeting the target by 7 points but what if this 7 may have been completed earlier in month of June. So ideally it not a deficit.