There are different graph formats for different types of data
received after an experiment, which can be displayed efficiently in order for
it to be compared or used later. There are three main graphs that can be used:
1) Line Graph- This type of graph allows you to see trends between
two sets of continuous/numerical data. e.g. Speed and time. The independent
variable is plotted against the dependant variable and as the line joining the
results plotted on the graph allows you to clearly spot a pattern
2) Bar Chart- This type of graph is used to represent categorical
data against its value. e.g.shoe size in a class, and is represented with bars,
which means you are able to use the graph to compare the data by seeing whether
the bars are either lower or higher than the other, against its frequency.
3) Histogram- These are best used for large sets of data,
especially when the data has been grouped into classes. This type of
graph consists of rectangles, where the area is proportional to the frequency of
a variable and whose width is equal to the class interval. As the area
represents the frequency, you need to firstly work out a frequency density.
This is done by dividing the frequency by the class width.
Hope this helps...Thanks!
Hi,
ReplyDeleteYou show a good understanding of the different forms of graphical representation. Nice examples shown.