With 2008 US Presidential elections around the corner everyone is busy including chart makers. There are hundreds of excellent visualizations on the presidential election campaign, speeches, issues, predictions that keeping track of what is best can be a tough task. We at PHD have compiled a list of 35 totally awesome visualizations on the 2008 election. Do check these to get more insights in to this election.
The visualizations are grouped in to these categories:
- Campaigns & Speeches
- Projections
- Primaries & Caucuses
- Other Politics
- Trivia & Fun Facts
Like this list? Browse other cool visualizations here.
Visualizations on Campaigns & Speeches
Article References to Obama & McCain
How many articles are referring to Obama and McCain
Donations Made to Political Candidates
Donations received by each candidate. The blue semi-circles in the center describe the size of the overall donations by both Obama and McCain. The lines indicate the amount of donation made.
Anatomy of Speech – Barack Obama’s Acceptance Speech at DNC
Presentation Zen takes a look at Obama’s acceptance speech at DNC and compares it with a symphony.
Wordtree – Obama Speaks at DNC
Obama’s speech, the word “WE” in a word tree.
Sarah Palin in VP Debates – Wordle Tag Cloud
Look at what Palin spoke in the VP debates recently, in a word cloud. More Wordle clouds : McCain, Obama @ DNC, Obama vs. King – the speeches I have a Dream vs. More Perfect Union
Marginal Taxes – Obama vs. McCain
How each candidates taxation policies effects the marginal taxes.
Break up of campaign finance information by NY Times.
How the tax plans of Obama and McCain are going to impact you?
Campaign finances information visualization by BBC
This info-graphic shows which candidate is spending how much in each state in advertising. Looks like Obama beat McCain hands down in most states as far as ad spending is concerned.
Candidate Visits to Each State
This visualization by CNN shows us how many times each candidate has visited each of the 50 states since the campaign has began. You can see that swing states have attracted unusually large amounts visits compared pre-decided states.
Issues and Agendas, What is their Stance?
This stacked chart shows how much each candidate has given preference to the various issues like health care, taxation etc.
Visualizations on 2008 US Presidential Elections – Projections & Polls
Vote Prediction Tracker – US Electoral College
Intrade – 2008 Electoral Projections
Pollster – View & Analyze Polls
Perspctv – another Election Tracking Site
Presidential Watch – what various websites are saying
The Economist’s pole – Economists prefer Obama over McCain
Google Maps Projections Tracker
Primaries & Caucuses
Who names who – Debates leading to Iowa Caucuses
This interactive visualization takes a look at the speeches made during primaries and caucuses and tells us who is naming who.
How they voted in primaries ? – Clinton vs. Obama
This brilliant visualization provides very good analysis of how people voted in democratic primaries.
Visualizations on Trivia & Fun Facts
The Measure of a President – NY Times
The height and weight of presidential candidates since the 1896.
Obama vs. McCain – Google Search Insights
Who is searched more? Obama or McCain, now you can find it with Google Search Insights
Compare Political Quotes – Google Labs
Compare quotations made by candidates on various issues.
Red vs. Blue – Popularity of Books – Amazon
Amazon plots their book sales data to show which states are reading what wrt. political orientation.
This interactive chart shows the life of each president and when he became the White house inhabitant. A fun way to look at who got the opportunity very early and who waited long.
Amazon Halloween Mask Sales – Obama vs. McCain
Can Halloween mask sales predict who is going to be next president. Amazon has built a meter for us to track who is selling more masks – Obama or McCain. Looks like Obama is leading here.
Want to findout more about party head quarters in each city / state? This google maps application is perfect for trivia mongers.
Visualizations on Other Politics
who voted No to the $ 700 Bn Bailout Plan
The NY Times interactive graphic tells the story behind the initial NO vote for the $ 700 Bn bailout package.
How republican and democratic senators voted in 2007
Another look at how both republicans and democrats voted in 2007, you can see why McCain calls him self a maverick. He is the only one not connected to the republican network.
National Debt by Political Party
This graph shows US National Debt by in years since 1975. The bars are colored based on the ruling political party at that time.
Bonus Visualizations – For Fun
Palinworld – New Yorker coverpage
A humorous take by New Yorker on how Palin Sees the world form her home
What your vote helps determine – PHD Comics
PHD Comics takes a look at the irony of what each vote determines.
So which one(s) do you like better?
19 Responses to “How to Distribute Players Between Teams – Evenly”
An excellent solution, especially for large data sets.
Another solution without using solver would be to assign the player with the highest score to Team 1, the 2nd to team 2, 3rd to team 3, 4th to team 3, 5th to team 2, 6th to team 1, 7th to team 1 and it continues. This method would end up with a Std Dev of 0.001247219. This works best with a distribution with lower Std Dev for the dataset.
Full Disclosure: this is not my idea, remember reading something a few years ago. Think it may have been Ozgrid
thinking back I now remember why I read about it. About 10 years back I had to distribute around 300 team members into 25-30 odd teams. Used this method based on their performance scores. I used the method I described to do this and the distribution was pretty fair.
Solver would have saved me a ton of time though 🙂
I think the issue with you first Solver approach was that you took the absolute value of the sum of team deviations (which should always be zero except for rounding) instead of the sum of the absolute values (which is a reasonable measure of how unbalanced the teams are).
Here's another simple algorithm you could use: you start from the top (with players sorted from high to low), and at each step allocate the next player to whichever team has the smallest total so far. You can implement it dynamically with some formulas so it will update automatically when the data changes.
If the scores were more widely distributed (so that this might end up with not all teams the same size), you could add a constraint to only pick among the teams which currently have fewest players at each step, or just stop adding to any team when it hits its quota.
When I tried it on the sample, I got the three teams below, with a STDEV of 0.000942809 (i.e. about half of what Solver got to).
Team 1: John, Hugo, Tom, Josh, Eric, Zane, Charles, Andrew
Team 2: Barry, Michael, Kenny, Joe, Xavier, Patrick, Oliver, William
Team 3: Henry, Steven, Ben, Frank, Kyle, Edward, Cameron, Lachlan
Thanks for sharing!
Hi,
I was looking at all the solutions and this is closest to what I intended to do. I am dividing a bunch of players into 3 soccer teams. Players availability is also a factor while deciding the teams.
So the steps the excel needs to do is as follows:
1) In availability column if "yes" go to next
2) Equally divide 'Goalkeepers', 'Strikers', 'Defenders' basis their quality
So the end result gives each 3 teams a balance of players playing at different positions.
Can this be done on Google spreadsheet with only availability as an input from the user and rest calculates by itself.
Sorry for asking such a pointed question, but I have been struggling to find a solution for it for sometime now!
Hi Ishaan,
I am working on a similar problem at the moment, so I am wondering if you ever found a solution and if you are willing to share what you did.
Hi everyone, this is a variation of the famous Knapsack Problem https://en.wikipedia.org/wiki/Knapsack_problem.
I had to use a VBA implementation recently as part of a problem, where we ar trying to allocate teams of an organization into different locations (we are a large company with many different team). The goal was to optimally allocate teams to individual buildings without putting too many teams into one building and not splitting teams apart.
As we had around 400 teams of different sizes, solver couldn't handle it anymore. Luckily there is a Knapsack algorithm implementation in VBA readily available on the internet :).
I also went with a heuristic approach first!
An interesting mathematical solution but what if Eric and Xavier can't stand each other or Patrick is best friends with Steven - the real life problems that effect "even" teams.
@Joe
You can add more criteria like
If Eric and Xavier can't stand each other
=OR(AND(E15=1,E16=1),AND(F15=1,F16=1),AND(G15=1,G16=1))
It must be False
If Patrick is best friends with Steven
=OR(AND(E5=1,E17=1),AND(F5=1,F17=1),AND(G5=1,G17=1))
It must be True
Note that the 2 formulas above are exactly the same
except for the ranges
One must be True = Friends
One must be False = Not Friends
Nice Post!
Just one question What if number of players are not even or equally divisible.
Nice post Hui!
I download your workbook and just try to change in options the Precision Restriction from 10E-6 to 10-8 and the Convergence from 10E-4 to 10E-10. The process take almost the same time, but the results was great.
The standard deviation I got was 0,000471.
Team 1: John, Tom, Kenny, Frank, Eric, Xavier, Edward, Zane
Team 2: Steven, Hugo, Ben, Joe, Josh, Oliver, Cameron, William
Team 3: Barry, Henry, Michael, Kyle, Patrick, Charles, Andrew, Lachlan
Great application of Solver! Thanks for the link!
Great explanation. Well done... However, I tried with 6 teams of 4 players and solver never did finish.
How about vba code for the same data set.
I have 3 column A B C wherein A has text and B has number Wherein C is blank. And in C1 been the header C2 where I want the name to come evenly distributed the number which is in Column B.
My Lastcolumn is 1000.
Sorry if I'm being slow here, but how is 'Team Score' calculated? I've gone through the explanation several times but it seems to just appear.
@Hrmft
This process uses the Solver Excel addin
Solver is effectively taking the model and trying different solutions until it gets a solution that meets all the criteria
Then solver puts the solution into the cell and moves to the next cell
So yes it appears to "just appear"
Hi ! Thank you so much ! Works great 🙂
I cannot get the fourth Equation to work in my excel spreadsheet
You have =($E$2:$G$25=0)+($E$2:$G$25=1)=1 as a SUMIF solution, I have, =($F$2:$H$13=0)+($F$2:$H$13=1)=1 as my solution but it does not work. The only thing I changed is the ranges. Any suggestions?
Thank you.
Jim
I cannot get the fourth Equation of TURE or FALSE statements to work in my excel spreadsheet You have =($E$2:$G$25=0)+($E$2:$G$25=1)=1 as a SUMIF solution, I have, =($F$2:$H$13=0)+($F$2:$H$13=1)=1 as my solution but it does not work. The only thing I changed is the ranges. Any suggestions?
Sorry I left some of it out in the previous question,
Thank you. Jim