Your job for this week is this:
1) Go to the Many Eyes website: Many Eyes
2) Click on the link called "Visualizations."
3) Look at a bunch (between 6 and 10) of different kinds of visualizations. There is a search feature, so you can find a topic that interests you, like "sports" or "pets."
4) Pick the three you like the most. Then tell us about them on the blog. For each: a) put the link and b)say what you like about it.
Have fun!
Posts
24 comments:
I choose baseball for my three choces
#1 how many home runs in baseball. The link to that is http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/most-home-runs-in-baseball. Ichoose this one because I would like to know howmany home runs there are in baseball. That is why it in terested me
#2 my secound one is how many saves in baseball. I choose to do this one because it enterested me and the data was very easy to get the info out. the link to it is http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/mostsavesinbaseball
#3 I also did the best basebll shortstop players. i did this one because i used to play shortstop. The link to it is http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/best-shortstops-in-baseball-2009
1. A. http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/athletes-by-ues-stat
B. There was something very interesting in this data that I noticed in this data, that the data collector uses percentages instead of regular numbers. I believed the data collector used this way in her data because with numbers you find how many people do sports in the state. But with percents you find how much in each state does sports. Which then data readers get a better understanding of the data.
The data collector also uses a picture of the U.S. states not a chart. So the data reader gets a better way to visualize the data and to make there own research on this topic. The data collector uses a color key for the data reader to now which each state percentage is for this topic.
2. A. http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/waste-breakdown
B. In the way this data collector sets it up, is that it is capable to do different charts, tables, diagrams, you name this data collector has it. Mostly this is a key to different ways to set up the data, but within the different data they have keys which the data collector already made on to the side for the data.
This data collector makes the way to show the data visible in the bubbles, bars, or circle graphs. The data reader makes good observations to make more research on this same topic. For better references to do data charts in the future the data collector does.
3. A. http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/dogs
B. This data collector does not do it a different way. But this data collector takes ideas from people like the two that you’ve already read, and combust them together to make one other way to show data like the one’s above.
This data collector takes the format to visualize from the first and color keys from the fist. The collector of the data uses the second to do various options to get more understanding of the data given. Overall this way to use data is the ultimate way you can have to show your data as a data collector.
My three graphs measured the overall crime in Canada for 2007, Comic Book sales from 1996 to 2007, and the fast food restaurants in Phoenix, Arizona.
From my first graph, I learned that Ontario was not a good place to live in 2007. This graph displayed the data in the way I expected, in a bar graph.
My second graph showed me that comic book sales decreased steadily between 1996 and 2007. It showed the data in a line graph but it did not connect the points. I guess you don’t have to if you are only tracking one thing on your graph.
My final graph showed the fast food restaurants in Phoenix, Arizona. It showed the data in a completely different way. Instead of using a pie chart, they represented the data as dots of various sizes, the bigger the dot, the more restaurants in Phoenix, Arizona.
For those of you who are very inquisitive, and wanted to know what fast food restaurants are most common in Phoenix, Arizona, it is McDonalds, with 25 restaurants, which beat Sonic by 20 restaurants.
Links to graphs
http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/overall-crime-in-canada-2007-crime-r
http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/comic-book-sales-1996-2007
http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/fast-food-restaurants-in-phoenix
Input out!
(http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/womens-basketball-rachel-galligans-r)
This first graph I looked at was a double bar graph showing the wins and losses of a woman's basket ball team. What I liked about this graph was that since it was a double bar graph it made it more easier to understand. I was so interested that I added up all of the loss points and the wins points and came up with a total of 159 losses and 413 wins. By that I can tell that the basket ball team is very good from the big difference between the two numbers, which is 254 points.
http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/digg-basketball-3
The second graph I chose was also about basket ball. This graph showed different words next to each other which had definitions about the word when you kept your mouse on it. For example, I kept my mouse on the word February, and I then got all kinds of information like, different games that happened in February. One game was the Chicago Bulls and the Indiana Pacers which was on February 9,2010. What I liked about this graph was that it wasn't a regular graph, even though it still showed a lot information. Also because I thought it was (in a way), easier to read since it was all laid out word by word.
http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/oh-job-growth-by-project-jobs-2006
The third and final graph I had chosen was a graph that shows the top 10 fastest growing careers in Ohio. What I liked about this graph was that it was a type of graph I have never seen before. It was interesting to see it. I also noticed that this graph can hold a lot of information in it too. Also, when you put your mouse on anything, it will show you what job it is, and the data value. For example, I put my mouse on, "Social Human and Service Assistants" -(the job) and I found out what the data value was. (the data value was 2,630)
Although I looked at many other graphs, these were the ones I thought were the most interesting to write about.
I choose three things i like for my graphs
Clothes/Shoping, Candy, and FaceBook i chose these after looking at tons of different i found that so cool!
1. Items of clothes bough each month
http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/items-of-clothes-bought-each-month
The first graph i looked at was a pie chart showing how many clothes a certain amount of people (24) bought over a month the most popular group was the 7-9 items per month with 10 people and the least was 3 people with 1-3 items a week this surprised me even though i shop a lot i was under the imprecision that lots of people didn't shop that much.
2. Candy Calories
http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/candy-calories
the second chart was a bubble chart with calories, fats, and sugars you could see if they contain trans fat and there serving size one i was surprised by was the baby ruth containing trans fat 280 calories (one of the highest of the listed) 14 g of fat (four are higher) 8g of saturated fat (3rd highest!) and 33 grams of sugars the least calories in a candy was a smarite having 25 calories no trans fat o grams of fat and 6 of sugar
3. Hours spent on Face-book
http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/hours-spent-on-facebook
The last chart i had was about 20 students hours using face-book 55% (or 11) of the students said they where on face-book for 2-3 hours of there day 30% (or 6) said they were on from one second-1 hour. and 15% (or 3) where on for 4-5 hours the surprised me because i know tons of people who get on face book the second they get home and just sit there till 11. also one person was in the not at all category.
<3 <3
Y.F.
After looking through multiple visualizations graphs and drawings of data, I decided my goal for the weeks assignment. I noticed that the visuals came in different forms, and each set of data was set up in a unique way, whether that meant a bar graph, line graph, pie chart, "word" chart, or any other possible ways data could be visually arranged. My goal was to find three sets of data that interested me but all varied in form so I could be able to work with different visualizations.
The Three Visualizations that I chose for this week's Blog assignment:
1) The first link to the "Many Eyes" website that I chose was about the most money making shows on Broadway's weekly ticket sales. Because I am really into theater and all that jazz I decided that I would start with a visual that I could relate to and really understand. The link brings you to a page that has a horizontal line graph on it. On the y axis the chart shows how much money the show made. On the x axis it shows the date, month and year the amount of money was recorded on. Because the graph shows how much money the Broadway show makes weekly, the day increases by seven days if you were to examine Domain. On the side of the visual is a key that is color coded and represent which color goes to which. By using the shift button and pressing down on the mouse you can scroll over multiple show names to compare how much money they have made. I enjoy the set up and how the data is arranged, it is very precise and clear. If anyone is interested in theater I recommend you check out the link posted below.
http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/broadway-weekly-gross-ticket-sales
2) During one of the rehearsals up at the high school last week for the play, I noticed a car set up outside the auditorium doors that looked as if it had been in an accident. There was a powerful sign that was next to the fake "car crash" and I later found out that it was apart of a drunk driving prevention program in the High School. As I sat down to find a subject to search for, I thought of something sad but interesting, drunk driving. The graph I chose focused on deaths caused by drunk driving accidents between 2000 and 2006. The visualization consists of a bunch of different colored circles that have the number of deaths and the name of a each individual states that make up the United States. The key to the left represents each state and the color. To the left hand bottom corner is something called "Bubble Size", and if you click on the arrows you can find the year that you would like between 2000 and 2006. I liked this chart because the more deaths in a state the larger the circle, which made it easier to examine and collect information from, a very important part in a good visual.
http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/drunk-driving-fatalities-by-state-20
3)The last visualization I chose was based off of another subject I am interested in: music. The set of data I chose talks about how often people listen and obtain music- whether that is by legally downloading it, using a CD or illegally downloading it. The graph is set up in a weird bar graph form with six categories going down the y axis of how often you obtain the music. On the x axis is the three sources of where you could get the music from, which I mentioned before. On the side is a key that is color coded and below that is another key that if you click will slightly change the graph's form. I liked this visual because of all the different buttons that are available to press that play around with the data and change it in different ways. It teaches people that you can have the same information but present it in different forms and still learn a lot.
http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/how-often-do-you-obtain-music-and-
I hope you enjoy the links!
These are the three subjects I picked
Subject: do people like films or books better
Link: http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/films-or-books
What I liked about this was it was very easy to understand and it was kind of surprising to me, because usually when people read a book and then see the movie they like the book better cause the books are more descriptive. But I think that what the graph meant is usually people prefer to see a movie because its faster than to read a book. In the graph its said only 19 people would read a book while 31 people would rather see a book.
Subject: car colors
Link: http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/car-colors
What I liked about this is that it was a bubble chart and for me bubble charts are really easy to understand because of the sizes of the bubbles are easy to indicate which are larger than the others. I picked this because when ever im in a car I try to counted the number of different color cars when I’m board and so I have just been wanting to know which color is the most common. So the most common color was silver and the least common where yellow and white.
Subject: panera bread stores per capital
Link: http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/panera-bread-stores-per-capita-by-
In this map I liked some things about it and I didn’t like some things about it. The things that I did like about it were I thought the subject was very unique. The thing I didn’t like about it was that it was very difficult to understand. For example the key was arranged by color and the numbers that went with the colors were decimals and that didn’t make sense. Also I think that they spelt capital wrong because the missed the L at the end.
These are the three subjects I picked
Subject: do people like films or books better
Link: http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/films-or-books
What I liked about this was it was very easy to understand and it was kind of surprising to me, because usually when people read a book and then see the movie they like the book better cause the books are more descriptive. But I think that what the graph meant is usually people prefer to see a movie because its faster than to read a book. In the graph its said only 19 people would read a book while 31 people would rather see a book.
Subject: car colors
Link: http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/car-colors
What I liked about this is that it was a bubble chart and for me bubble charts are really easy to understand because of the sizes of the bubbles are easy to indicate which are larger than the others. I picked this because when ever im in a car I try to counted the number of different color cars when I’m board and so I have just been wanting to know which color is the most common. So the most common color was silver and the least common where yellow and white.
Subject: panera bread stores per capital
Link: http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/panera-bread-stores-per-capita-by-
In this map I liked some things about it and I didn’t like some things about it. The things that I did like about it were I thought the subject was very unique. The thing I didn’t like about it was that it was very difficult to understand. For example the key was arranged by color and the numbers that went with the colors were decimals and that didn’t make sense. Also I think that they spelt capital wrong because the missed the L at the end.
#1 Home football games: The wins and losses. http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/home-football-games-winning-and-lo
I thought it was cool to see how this football team progressed over the year. I saw that this team was successful, and that they have more wins than losses.
#2 Salaries of the top 5 football teams of 2007. http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/median-salaries-for-top-5-football-t
I thought that what the NFL players get a lot of money per year. The Steelers get 4k in 2007 and more over the next 2 years. I thought it was surprising because that's a lot money to give per person.
#3 Favorite football teams. (Soccer wise)http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/favorite-football-team-6
I liked this pie chart because it was about soccer teams that are favorites and the best. The top team is Manchester United, and I know they are a good team.
#1 http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/median-salaries-of-top-5-football-te I thought this was cool to see how much money the top 5 teams earned. The Steelers earned at least 4k in 2007. That's a lot of money for one football team.
#2
http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/favorite-football-team-6
I liked this because it showed the best soccer teams in Europe.
#3
http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/home-football-games-winning-and-lo
I liked this chart the best. You get to watch the progression of this team over the year. I liked seeing the team grow at getting better at football.
MR ARDITO: I HAD TO POST THIS TWICE, FOR SOME REASON THE FIRST COMMENT DIDN'T GO THROUGH CORRECTLY.
1: http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/do-you-feel-a-need-to-regularly-fa
This is a survey taken from students. It is about how many students feel the need to regularly go on face book. About 18 out of every 20 kids that have Face Books say they need to everyday. I find this a bit crazy, considering that these are people who are getting a good amount of homework and a just putting it off to comment on quotes. I found this article interesting, because I just got a Face Book and I have to say, it can be addicting at first.
2: http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/what-happens-to-homeless-dogs-and-
This is line graph that shows what happed to homeless dogs and cats from 1995 to 2005. Around 1995 more dogs are lost then found, about 60% (cats being the other 40%). As the years go by the percents stay about the same, but at 2003 the number of cats go up. In 2005, dogs and cats are both 50%. I found this interesting, because I always wondered what happened to the animals on the “Help, Lost” posters.
3: http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/do-you-like-to-play-racket-sports-2
This is a little pie chart that shows out of 50 people, who and who doesn’t like racket sports (Tennis, Badminton, etc.). It shows that 10 out of 50 people don’t like racket sports. I am surprised, because I know a lot of people who like racket sports. I like this data, because I am a huge fan of tennis and other racket sports.
A) http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/youth-lacrosse-players-in-the-us
B) I was surprised to see that one of the smallest states on the map they showed (Delaware) had the most youth lacrosse players. I liked this graph because I play and like lacrosse.
A) http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/facebook-users-march-2010
B) I thought this graph was interesting because I didn’t think that Japan would have such a little amount of Facebook users, because they have a lot of technology. I was also surprised to see that even places on the map that look like little tiny dots have just as many users as bigger places, for example: a little island called Mauritius has 165,580 users. Huge areas like China only have 60,200 users.
A) http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/world-population-30
B) I thought this was interesting because when I looked at China’s population over the years, they said that the population was going to drop in the year 2050. Also, when I look at Greenland’s population, they only had about 57,000 people and in ten years they believe that the population will only rise 1,000 people.
After looking at 8 different charts, I chose Xbox Arcade Sales, Median Salaries of Top 5 Football Teams, and National Hockey League Regular Season Point Totals. It is interesting to see.
1)
http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/xbox-live-arcade-sales
This chart shows how many people bought different games and why. It really does not show the games that people are buying these days, but it is still interesting to see why people are buying video games. A lot of people liked Action games for some reason.
2)
http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/median-salaries-of-top-5-football-te
This shows which football teams get the most salaries to pay their players. The Steelers got over 4,000k to pay their players! They must bee a really good team!
3)
http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/national-hockey-league-regular-sea
This chart shows which hockey teams get the most points ( in all) over the season of 2001-2002. The team that got the most was Toronto. They must have really good players!
.a) http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/mcdonalds-per- 100000-by-state
b) First of all this article is called: McDonalds per 100000 by State. This graph showed how many Mc Donald’s there are in each state. I really liked how they presented this information because it showed a map of our country and each state was a different shade of brown/orange. The states that were shaded in a darker shade of the color meant they had more Mc Donald’s and the ones that were shaded in a lighter color meant that they had less Mc Donald’s in a state. Some other things I liked about the graph was when I would click on the scale the states that had that many would be highlighted and the states that didn’t apply to that number would become black and white. And you know what I thought was an interesting fact was that New Jersey has the lowest amount of Mc Donald’s in the country.
2. a) http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/burger-king-nutrition
b) This article is called: Burger King Nutrients. The graph showed how many calories, carbs, and proteins were in some of the foods in burger king. One thing I really liked about the graph was that you could change the bars to circles and that was kind of cool. Another thing I really liked about the graph was that you could change the colors of the bars/circles to any color you wanted. A third thing I liked was that you could see all the graphs on one place for each category, it was a quick and easy way to show lots of information. One thing I found really interesting was that the Whopper double beef burger had the most amount of calories at 916.
3. a) http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/us-unemployment-2008
b) This article is called: U.S unemployment 2008. The graph is a lot like the first one and that was one of the main reason I liked it. I found out a lot of interesting things in this article. One of them was that every month Michigan had the highest amount of jobs lost in the U.S. Another thing I thought was interesting was that every month the percentage of jobs lost went up.
http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/stairway-to-heaven-lyrics
I liked this one because I’m a HUGE led zeppelin fan. I really love this song and just thought it would be interesting. I read it and found it to be kind of cool. I liked the contrast of colors and sizes and thought it was interesting how it was put together.
http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/pink-floyd-lyrics-word-frequency
I really like pink Floyd and I thought this was interesting. Part of what makes it interesting is how they count out how many times each word appears in their songs, then sizes the font according to that. Ii think is really cool that they can show it like that.
http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/white-stripes-lyrics-from-my-7-fav
ANOTHER lyric thing. I LOVE the white stripes and I thought this was interesting. These lyric things are really interesting to me. I tend to Write song lyrics on practically everything I own and I really like them. So its kind of cool how they are displayed like this.
Oh... by the way, I forgot something...
1) I like this chart because I like video games, and would like to see more about what games people are buying.
2) I like this chart because I like foot ball, and would like to see more about how much football players are being paid.
3) I like this chart because I like hockey, and I like to see teams scores throughout the years.
I had a lot of fun exploring the site. There were quite a few that I liked.
The first one I found was Best Selling Cell Phone Radiation Levels. I liked it because it showed how much radiation is given off from popular phones from different cell phone brands. T-Mobile's Nokia 2720 Fold, AT@T's Blackberry 9000 Bold, Sprints Palk Pixi, and Verizon's Motorola Droid had the most radiation (on a scale of 0.0-1.6)What I didn't like was that they didn't specify the amount of 0.0-1.6.
The second one I found was Number of Extinct Animals by Area. The visual was really cool because they used a full map and you could see where the animals became extinct. I think they needed to find the bones of those animals to say they were extinct. Kuwait and French Guiana had the most extinct animals (over 70). Tanzania (a country in Africa), Uzbekistan, and Australia had around 36-20 extinct animal species. The U.S. only had 4 (And why do I have the slightest thought that it will be growing...?)
The third visual I found was Drug Use Among 12- to 17-Year-Olds in the U.S. (2008). I thought it was a kind-of unusual topic. I looked up the word "drug" and it took me here. I thought it was really cool to see that only about 20% did drugs (so 82% didn't =]). Links:
Drug: http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/drug-use-among-12-to-17-year-olds--4
Cell Phone Radiation: http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/best-selling-cell-phone-radiation--2
Extinct Animals: http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/number-of-extinct-animals-by-area
a) http://manyeyes.alphaworks.ibm.com/manyeyes/files/thumbnails/10f456ce-410e-11df-81e6-000255111976.wm.png
b) I picked this graph as one of my graphs for one main thing. What really interested me was that puma was less then fred perry. I have never even heard of fred perry, that's why I'm surprised that its less then puma which i have heard of and seen people wear. Another thing that I thought was cool is that Nike and Adidas were not that close. I thought they were the same in purchases but I guess not.
a) http://manyeyes.alphaworks.ibm.com/manyeyes/files/thumbnails/f718f324-ae17-11de-8425-000255111976.wm.png
b) I picked this graph because I thought it was pretty cool, and a couple things surprised me. One thing that surprised me is that Italy was the second worst country in sports. I thought they would be pretty good at sports because of soccer. Since they are so good at soccer I thought the graph would be a little higher the the U.K and South Korea. Another thing I found cool was that America and China were only 10 apart! I thought America would be about 100 better then china because of baseball and football which China does not play.
a)http://manyeyes.alphaworks.ibm.com/manyeyes/files/thumbnails/06d60920-21bb-11df-b539-000255111976.wm.png
b) I picked this pie chart because I was so surprised when I saw this. I thought America was going to be the biggest birth country for American baseball but I was surprised on how much it beat the other countries. I thought there would be more hispanic and the carribian. Overall I thought that graph was amazingly cool!!!! Everyone should look at it!
A) I looked at Percentage of Deceased Persons Who Are Cremated By State http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/percentage-of-deceased-persons-who this is the link to the site. I liked because it was interesting to see that most cremations are in the west coast, the highest percentages of cremation were in the west coast and the littlest were in the southern states like Tennessee and Alabama.
B) I also looked at Death in U.S.A http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/death-in-usa this is the link to the site. I looked at this and it made me feel terrible, I chose this graph because it we live in the U.S.A and it made me want to know how many people die a year here. What made me feel terrible and that heart diseases kill the most amount of people on the graph at 632k, this was so bad in my opinion because this death were in such a big amount.
C) I looked at Swine Flu in The U.S.A http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/swine-flue- in-the-usa this is the link to the site. I was look for this because I have heard of many infections of the Swine Flu in the U.S.A and wanted to see that amount. It had show me that in Wisconsin there where the most infections and in Texas.
1)http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/percent-of-adults-who-currently-sm
Percent of adults who currently smoke, 2004-2006
2)I liked this article because I learned that for all age groups in this catagory 18-65+ that the most people smoke in Kentucky and West Virginia.
1)http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/estimated-population-2008-by-countri
Estimated Population 2008 by Countries
2)I liked this visuale because I alwase wanted to know were the most people lived and were the least amount of people lived. I found out that the most people lived in Asia then Idia and in third America. the least amount of people lived in IceLand,Guinea-Bissau, and Botswana.
1)http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/average-time-spent-commuting-by-stat
Average Time Spent Commuting by State
2)I liked this visuale because I was woundering if people would leave to differnt states and witch ones were most often commuting from and to. the place with highset comute was New York.
1. http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/mcdonalds-food-value
This is about the amount of calories, calories from fat, fat, saturated fat, trans fat, cholesterol, sodium, carbohydrates, sugars, protein, calcium iron and vitamin a in McDonalds products.
I turned upon this because I was interested in McDonalds and how bad it was for you. What interested me was the fact that all of the sandwiches that contained beef gave you your 100% daily value of calories, calories from fat, fat, saturated fat, trans fat, cholesterol, sodium, carbohydrates, sugars, protein, calcium and iron! That means if you eat one hamburger at McDonalds you’re set with all of the fats and other bad stuff for a day! Even the coffee is stuffed with fat! The only thing that is not completely laced together by fat are the sugar packets!
2. http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/us-per-capita-consumption-of-differe
This is about the amount of pounds of food consumed per capita in the united states (food vs. food)
After the first one I was stumped so I just clicked food and clicked the first box. this was the fruit one. What interested me about this is that you could spend all day altering the graph and seeing it from different points of view like when you look at normal levels you see that the melon and banana are doing well but when you look at growth levels you learn that the mango is doing the best
3. http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/mcdonalds-world-map
This is yet another one about McDonalds this time a map showing world dependency on one of the biggest restaurant chains ever.
I chose this one because the first the first one was so interesting One thing that interested me was the fact that New Zealand had almost as much color as Canada and the US another thing is that most of the world doesn’t have any color two continents are completely white. I would also like to see a map of world obesity rates and compare the two
I really liked using this website. I found a lot of stuff about things I liked and things I could relate to.
http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/how-often-do-you-listen-to-music-y
The first one I saw that I liked was about how often people listen to music they don't own a week. I was surprised that some of the numbers were so low, mostly because I am hopelessly addicted to youtube and can't believe that people would spend so little time every week on it.
http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/is-facebook-a-distraction-whilst-c
The next one I liked was about how facebook was a distraction from schoolwork. Nineteen out of twenty students said that facebook was a distraction to them. I agree with those nineteen students, especially because facebook is my homepage and whenever I want to go online to do homework I always spend at least twenty minutes on it and then decide it's time to work.
http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/pets-we-own
Another one I liked was about pets people own. I liked this because I thought it would all be normal pets like cats and dogs. They were in there but there were also a lot of weird pets like chipmunks, millipedes and crabs.
1. http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/beatles-lyrics
I like this data collection because for one thing, I love the Beatles. When you scroll over a specific word, it will tell you the usage of that word and its frequency in the Beatles catalog. "Love" is said 612 times by the Beatles, almost two times more than the times the King James version of the Bible says it.
2. http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/cloud-of-lyrics-to-led-zeppelin-ii-a
Led Zeppelin has always been one of my favorite old-timey rock bands. I was very pleased to look at this graph because the words that were sung the most are the biggest-looking. Once again, like The Beatles, "love" is said the most. That's really cool.
3. http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/bob-dylan-lyrics-5
I've just realized that "love" is one of the most common lyrics in all of the music buisness. Bob Dylan says it 351 times. What I love about this data set is that it makes very accurate word counts. The word "pum" is said 61 times, and that's as precise as you can get. Not about 60, or 62, but 61. Now that's accurate.
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