This document discusses four different types of graphs: a bar graph showing song downloads on iTunes, a line graph showing attendance at the X-Games from 1995-2001, a pie chart comparing the number of weeks songs spent at #1, and a bar graph displaying revenue for different comic books in 2006. For each graph, it provides the reason for choosing that graph type and a brief description of the data visualized.

1. Kimberly Singh
&
Lianne Ashton

3.  We choose this graph because it shows a side
by side data comparison to individual
information.
 It shows the amount of occurrence for each
data set for better understanding.
 This data was about the frequency of the
songs by artists that were downloaded on
iTunes.

5.  We choose this line graph because it shows
the changes in the amounts of people who
attended over a period of time.
 A line graph is used to plot data changes over
time.
 The data shows the number of people
attending the X-games over the period of
1995-2001, which showed a positive
correlation through 1995-1998, but a
negative correlation through 1998 to 2001

7.  We choose this pie chart because it compares
how many weeks the songs were at #1 out of
a whole.
 A pie chat shows a percentage out of 100%. It
compares values on a percentage scaling
system.
 The data shows how long people stayed at #1
and who stayed the longest.

9.  We choose this graph because it shows the
side by side comparison of each data value.
 A bar graph shows amounts or the number of
times a value occurs and organized it in a
way that makes it easier to compare data.
 This data shows how much data each comic
book made over 2006.