Data Presentation

Question 1

Triangular graphs - advantages

Answer 1

Can show patterns of clustering between three different variables

Question 2

Triangular graphs - disadvantages

Answer 2

They only work with a limited range of information that must be in percentage form

Question 3

Triangular graphs - examples

Answer 3

Percentage soil structure between types of soil
Showing the types of industry for countries

Question 4

Box plot graphs - advantages

Answer 4

Shows the range of data, upper and lower quartile and the mean
Can be compared to another set of datas box plot to see the difference between them
Can be used with chi squared to identify any significant difference between different areas of information

Question 5

Box plot graphs - disadvantages

Answer 5

Can only show one set of data at a time making it a time consuming process if you want to show many forms of data

Question 6

Box plot graphs - examples

Answer 6

Show the range, upper quartile and mean of bedload size at 12 different sites along a river course

Question 7

Dispersion graphs - advantages

Answer 7

Allows you to visually investigate the spread of a set of data
Identify any clustering that might exist within a data set
Dispersion diagrams of more than one data set can be constructed provided the scale is the same and you have different colouring crayons

Question 8

Dispersion graphs - disadvantages

Answer 8

Shows the range of clusterings of points but does not specifically highlight a mean or descriptively summarise the data (a box plot does)

Question 9

Dispersion graphs - examples

Answer 9

Show the distribution of data for bed load angularity along a river course

Question 10

Compound bar charts - advantages

Answer 10

A versatile graph with many potential uses
Bar graphs can show positive and negative values
They allow one bar to be split so that the individual quantities for each site are displayed

Question 11

Compound bar charts - disadvantages

Answer 11

Plotting too many bars can make a graph look cluttered and difficult to interpret
If there is a wide range of data to be displayed the graph can lose its impact

Question 12

Compound bar charts - examples

Answer 12

Percentage of vegetation at each site
Number of age groups for a pedestrian count

Question 13

Scatter graphs - advantages

Answer 13

Patterns and anomalies can be easily identified
A line of best fit will identify whether a positive, negative or no correlation
Can be used in conjunction with spearman’s rank or pearson product to support with confidence whether a relationship has occured

Question 14

Scatter graphs - disadvantages

Answer 14

A line of best fit can be drawn that suggests a misleading relationship between variables

Question 15

Scatter graph - examples

Answer 15

Anything that needs to investigate a relationship between low associated variables

Question 16

Kite diagrams - advantages

Answer 16

Need transect to show the data along
Displays the changing characteristics across a study area
You are most likely to use this when investigating vegetation succession
It is concerned with the way in which plant species of plants dominate in a given area as environmental conditions change

Question 17

Kite diagrams - examples

Answer 17

Vegetation succession
Downstream channel characteristics

Question 18

Cross sections - advantages

Answer 18

It is effectively a line graph but the recordings piths are designated by the sample strategy
Allows you to draw the particular section of the river and draw it to scale
The depths can be exaggerated to help highlight features that can be compared to other cross sections

Question 19

Cross sections - disadvantages

Answer 19

If you use a ruler to draw the lines then it can look unnatural
If you dont collect enough depths then it will be inaccurate

Question 20

Cross sections - examples

Answer 20

River cross section
Footpath cross section
Valley cross section