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.
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.
4.
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
6.
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.
8.
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.