From CS 294-10 Visualization Sp10

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I originally wanted to research on sleeping patterns of animals. Thus I thought up the following question:


Question 1

How does the body mass and the brain size affect the sleeping patterns of different mammals?

The question was pretty specific, but I was interested in this subject for awhile. I found a study in the CMU website (which can be found at the StatLib Archive). But the data set had missing values and didn't contain a lot of information. I couldn't find any other data set related to animal sleeping patterns. So I decided to go broader and find a data set on animals. Surprisingly that was difficult as well, maybe because I had no idea where to look. I found a data set on the Types of Animal Abuse, but it lacked a lot of information.

While looking for a data set, I was watching the biathlon. This gave me the idea to do something with the Winter Olympics. Finding a data set regarding the Winter Olympics was quite easy.

Question 2

Does the population effect how many medals a country wins?

I found a data set from the Guardian regarding only the Winter Olympics. Thus, I decided to focus on winter events. I thought a correlation would exist due to the fact that countries with more people would have a higher probability of becoming athletes.


After making my graph, I noticed that China has the most population and yet the country didn't have that many medals compared to the US and Canada. That lead me to think that maybe the wealth of the country had something to do with the amount of winning medals. Thus I came up with the second question.

Question 3

Does the overall wealth of the nation affect the amount of winning medals in a country?

To represent wealth, I used GDP in my graph compared to the medals won.


The different colors on the GDP have no meaning, so feel free to ignore that. I couldn't figure out how to remove the colors from the GDP data in Tableau. The data set I found was formatted in a way such that Tableau thought the Gold, Silver and Bronze were associated with the GDP. didn't see a huge correlation there either. So I decided to go with a total different direction.

Question 4

Which countries do the best in each Winter Olympic sport?

I surprisingly had no idea for this question. I could guess Canada did well in hocky, but unlike the Summer Olympics, I really didn't know what countries were famous for each event. I decided to use a subset of my data to find the best format. This way, the data was more manageable, and I could test for discrepancies. In the end, I settled on a line graph below: File:LitaDraft3.png

The final result was the image below: File:LitaFinal.png

I didn't put all the countries on the graph, since I wasn't able to make sense of all of it. Thus, I filtered a lot of countries. I made sure to keep the top countries with the most metals. Top countries that had the most medals in that specific sport was also a factor in filtering data. Rather than considering the total amount of metals each country, I only considered the amount of gold metals. I felt this was a better ray to represent the "best" country. I also made this design choice because the line graph was overlapping with other countries when using the total amount of metals, covering up valuable data.

In the end, I noticed that skating and skiing have the most fluctuation. They also have a lot more medals to give out since a lot of sub-events are lump together with skating and skiing (such as speed skating, figure skating, etc). However, Great Britain was the best at curling till recently, when Canada took the gold. I also noticed that the US is getting better at bobsleigh over time. I also didn't know that luge and biathlon started in the 60's.

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