final project

I started this on my computer and finished it in the computer lab.  When I tried to open the finished product on my computer, the picture of the home plate wouldn't show up, and none of the pictures for the 'most world series wins' showed up.

in progress

example of data

This is taken from mlb.com to show what I had to look at for every year the world series was held:

1903 -- Boston Pilgrims (5) vs. Pittsburgh Pirates (3)
	Game	Date	Winning Team	Losing Team
	1	Oct. 1	Pittsburgh (Phillippe) 7	BOSTON (Young) 3
	2	Oct. 2	BOSTON (Dinneen) 3	Pittsburgh (Leever) 0
	3	Oct. 3	Pittsburgh (Phillippe) 4	BOSTON (Hughes) 2
	4	Oct. 6	PITTSBURGH (Phillippe) 5	Boston (Dinneen) 4
	5	Oct. 7	Boston (Young) 11	PITTSBURGH (Kennedy) 2
	6	Oct. 8	Boston (Dinneen) 6	PITTSBURGH (Leever) 3
	7	Oct. 10	Boston (Young) 7	PITTSBURGH (Phillippe) 3
	8	Oct. 13	BOSTON (Dinneen) 3	Pittsburgh (Phillippe) 0
	Managers: Jimmy Collins, Pilgrims; Fred Clarke, Pirates
	Notes: Pittsburgh right fielder Jimmy Sebring hit the first home run in Series history and led all regulars with a .367 average.

From this I counted how many shut-out games there were, how many 1-run games there were, the total runs scored, the total runs scored by the winning teams, the total runs scored by the losing teams, how many tie games there were, and how many extra-inning games there were.


I did this for all 107 series ever played.

Final Project Data: World Series History

*World Series Appearances:
     *Pirates - 7 (5 wins, 2 losses)
     *Giants - 18 (6 wins, 12 losses)
     * Athletics - 14 (9 wins, 5 losses)
     *White Sox - 4 (3 wins, 1 loss)
     *Cubs - 10 (2 wins, 8 losses)
     * Tigers - 10 (4 wins, 6 losses)
     * Red Sox - 11 (7 wins, 4 losses)
     * Phillies - 7 (2 wins, 5 losses)
     * Dodgers - 18 (5 wins, 13 losses)
     * Braves - 8 (2 wins, 6 losses)
     * Reds - 8 (4 wins, 4 losses)
     * Indians - 5 (2 wins, 3 losses)
     * Yankees - 40 (27 wins, 13 losses)
     * Senators - 3 (1 win, 2 losses)
     * Cardinals - 18 ( 12 wins, 6 losses)
     * Twins - 3 (2 wins, 1 loss)
     * Orioles - 6 (3 wins, 3 losses)
     * Mets - 4 (2 wins, 2 losses)
     * Royals - 2 (1 win, 1 loss)
     * Brewers - 1 (loss)
     * Padres - 2 (2 losses)
     * Blue Jays - 2 (2 wins)
     * Diamondbacks - 1 (win)
     * Angels - 1 (win)
     * Marlins - 2 (2 wins)
     * Astros - 1 (loss)
     * Rockies - 1 (loss)
     * Devil Rays - 1 (loss)
     * Rangers - 2 (2 losses)

*Total number of series - 107 (not held in 1904 or 1994)

*Total number of swept series - 19 (17.8% of all series held)
     *swept means it was won in 4 straight games in a best of 7 series

*Total 7-game series - 32 (29.9% of all series held)

*Total games played - 633 (average of 6 games/series)

*Total number of shut-out games - 114 (18% of all games played)
     *shut-out means that the loser of the game didn't score any runs

*Total number of games won by one-run - 196 (31% of all games played)

*Total number of games that ended in a tie - 3 (0.5% of all games played)

*Total number of games that went into extra innings - 50 (7.9% of all games played)
      *a usual baseball game is played through 9 innings, if the game is tied after the ninth inning, the game is played until there's a winner, which adds innings to the game

*Total runs scored in all games of all series - 4,466  (avg. 42 runs/series; avg. 7 runs/game)
      *total runs scored by the winning teams - 2,702 (avg. 25 runs/series; avg. 4 runs/game)
      *total runs scored by the losing teams - 1,764 (avg. 17 runs/series; avg. 3 runs/game)
            *there were 23 series in which the losing team scored more runs over the entire series than the
              winning team (21.5% of all series played)

*Most Valuable Players award
     *started in 1955
     *total # of MVPs - 59
            *awarded to 28 pitchers (47%)
            *awarded to 24 infielders (41%)
            *awarded to 7 outfielders (12%)
                   *1981 - awarded to 3 different players (all infielders)
                   *2001 - awarded to 2 different players (both pitchers)
                         *only 1 of all the 59 MVP's have been a player on the losing team (1960 - Bobby Richardson who played 2nd base for the Yankees when they lost to the Pirates)
                         *only 2 players have won the MVP in multiple series
                                *Sandy Koufax - 1963 & 1965 for Dodgers
                                *Reggie Jackson - 1973 for Athletics & 1977 for Yankees

Mapping: Final

Mapping: Color

My first rough draft used way too many colors, and bright colors.  For my second rough draft, I focused on a variation of 1 color:  purple.  I chose purple because it is my favorite color.  Since my project is very specific to me, I thought this was an appropriate choice.  There are only 2 instances in which I stray from purple.  The first is the speech bubbles in the middle.  I used white because I thought it would center the eye and give the eye a break from purple.  I want the viewer to first notice the center, then make their way around the center.  The other instance is the pie chart.  This is because a pie chart divided into 4 spaces can't get away with using only 3 variations of purple.  I did choose purple for the spoken piece, again, because it's my favorite color.  I chose blue for Facebook because Facebook is blue.  I chose green for text because I have the iPhone, and the text icon is green on that.  I chose red for actions because people usually get embarrassed with I perform such actions around them.

Mapping: Rough Draft 2

Mapping: Rough Draft

a very, very rough draft that is open to suggestions

Assignment 2: Design

I'm having a lot of trouble coming up with the idea for my design.  I really don't have anything right now, I'll be working on that more tonight.  But I would like to open up the floor to any suggestions or ideas from anybody.

Assignment 2: Data

I'm not going to type all of my data, but here are some examples:

1.  Sexual:
        * "I don't pamper myself...unless you count masturbation."
        * When asked to wet a paper towel, I put it by my privates.
        * "I'm not having something in my vagina for 5 years...unless it's a penis"

2.  Sexist:
        * "They're women, they should be naturally good at cleaning."
        * "Women are the worst."
        * "Why can't Hellen Keller drive?  Because she's a woman."

3.  Racist:
        * "It's like Mexico...there's probably drug lords there."
        * "Token, how many times do we have to go through this?  You're black, you can play bass."

4.  Swearing:
        * "You can go fuck yourself you fucking fuckface."
        * "She could fucking cure cancer, but she will always be the girl who shit in my fake washer."
        * "This bitch needs to shut the fuck up."

In addition to separating data by type, I also have it separated by day and medium (text, facebook, spoken, etc)

Assignment 2: Influences

I chose this graphic because I thought it was a good way to incorporate a lot of data, which is what I am going to be doing.

I chose this one because I feel this design could potentially work for my project.  It seems like a good representation of data.

I chose this one for the same reason I chose the first one.

I chose this one because I thought it was a clever way to include quotes, which is what I want to do with my project.

I chose this one for the same reason as the first one.

Assignment 2: Problem

For this project, I decided to document all the politically incorrect and unladylike things I do, say, text, and post on Facebook.  In reviewing my data, I decided to separate the data by type:  swearing, sexism, racism, and sexual.  I separated the data in this way because these were the only categories into which all of my data fit.  I would like to incorporate some of the things I have said or posted into the map, although I'm still thinking of ways to do so.

I decided to document my unladylike-ness because I wanted to do something completely different, that other people would not think to use.  Also, everybody always seems to bring to my attention that I am more like a guy than a girl, and I wanted to see just how right they were, even though I already knew they were.