(F) Data presentation

Question 1

Bar charts:

• uses
• advantages
• disadavantages

-how to recognise

Answer 1

• discrete data
• simple data
• simple to construct
• visually effective
• not for continuous data
• can’t represent data with a large range

-seperated bars against a positive scale

Question 2

Located bar chart:

• uses
• advantages
• disadavantages

-how to recognise

Answer 2

• discrete data
• percentage data
• represents data over space
• percentage or absolute
• data can obscure base map
• scale of bars difficult to measure

-bar charts on a map

Question 3

Histograms:

• uses
• advantages
• disadavantages

-how to recognise

Answer 3

-continuous data

• can compare data
• simple to draw/read
• difficult to pinpoint exact number in category
• only for continuous data

-like a bar chart but with touching bars

Question 4

Comparative bar graph:

• uses
• advantages
• disadavantages

-how to recognise

Answer 4

• discrete data
• compare data
• easy to compare
• effective for discrete
• only for simple data
• small ranges of data

-a bar chart with 2 sets of information from a different time period

Question 5

Divergent bar graph:

• uses
• advantages
• disadavantages

-how to recognise

Answer 5

• discrete data
• positive/negative values
• positive and negative values
• covers a large range of data
• not for continuous
• not for just positive/negative data

-a bar chart with positive and negative values

Question 6

Compound bar graph

Answer 6

• discrete data
• more than one piece of info
• bar is broken down to show different data
• easy to read
• can’t be split into too many categories
• difficult to represent a large range

-a bar chart with bars split horizontally to show the different types of data

Question 7

Scattergraphs:

• uses
• advantages
• disadavantages

-how to recognise

Answer 7

• continuous or discrete data
• correlations
• good for bivariate data (data with two values)
• shows correlations
• difficult to draw line of best fit
• strength of correlation is difficult to measure

-dots drawn that aren’t connected together

Question 8

Line graphs:

• uses
• advantages
• disadavantages

-how to recognise

Answer 8

• continuous data
• comparing over time
• effective for comparing over time
• simple to construct
• can be difficult to read accurately
• not for discrete data

-data is joined in a continuous line and measured over time

Question 9

Pictograms:

• uses
• advantages
• disadavantages

-how to recognise

Answer 9

• discrete data
• simple numbers
• visually effective
• easy to read whole numbers
• difficult to read decimal values
• difficult to construct

-pictures are used to represent a number of something, and are split up for non whole numbers

Question 10

Pie charts:

• uses
• advantages
• disadavantages

-how to recognise

Answer 10

• discrete data
• percentages
• visually effective
• good for comparisons as it shows proportion
• difficult to read accurately
• not effective with lots of small sections

-graph is circular and split into sections with percentages

Question 11

Photgraphs/field sketches:

• uses
• advantages
• disadavantages

-how to recognise

Answer 11

• capturing details of locations
• comparing locations
• keeps a record
• stops you from having to revisit places
• could be low quality
• shows only one time/condition

-photo or drawing of a place

Question 12

Proportional circles:

• uses
• advantages
• disadavantages

-how to recognise

Answer 12

• continuous data
• quantity that can be divided into parts
• shows data with a locations
• represents patterns on a map
• difficult to read
• doesn’t show change over time

-circles of different sizes drawn over a map of an area

Question 13

Chloropleth maps:

• uses
• advantages
• disadavantages

-how to recognise

Answer 13

• discrete data
• changing patterns over space
• visually effective
• shows location and scale
• gives a generalised pattern
• assumes each area has the same value

-a map is colour coded with different shades to represent different values of the data in that area

Question 14

Flow line maps:

• uses
• advantages
• disadavantages

-how to recognise

Answer 14

• continuous data
• shows movement between places
• shows flow patterns over space
• shows proportions
• difficult to read
• real distance is distorted

-map with directional lines drawn over it to represent movement

Question 15

Isoline maps:

• uses
• advantages
• disadavantages

-how to recognise

Answer 15

-spatial values

• keeps accurate maps
• visually attractive
• flexible interpretation of data
• some guesswork in positioning lines
• maps with lines drawn over to represent spatial values
• e.g. land height

Question 16

Dot maps:

• uses
• advantages
• disadavantages

-how to recognise

Answer 16

-discrete data

• shows location
• shows density and distribution
• clustering makes it impossible to interpret certain
• regular spacing of dots is difficult

-a map with regular size dots on it representing one value against a place

Question 17

Triangular graphs:

• uses
• advantages
• disadavantages

-how to recognise

Answer 17

• continuous data
• percentages
• useful for three components
• varying proportions can be seen
• hard to interpret
• data must be in %
• triangular shaped graph
• read at a 60 degree angle

Question 18

Kite diagram:

• uses
• advantages
• disadavantages

-how to recognise

Answer 18

• continuous data
• shows vegetation
• species can be compared
• displays change over distance
• hard to spot anomalies
• hard to find a suitable scale
• lines show vegetation over a distance
• like a divergent bar graph but with lines

Question 19

Radial diagrams:

• uses
• advantages
• disadavantages

-how to recognise

Answer 19

• continuous data
• movement between two places
• distribution of data over time
• compares data
• difficult to read accurately
• only works with certain data sets
• circle shaped diagram with evenly spaced lines
• data covers an area of it

Question 20

Dispersion graphs:

• uses
• advantages
• disadavantages

-how to recognise

Answer 20

• continuous data
• patterns in data
• can compare 2 sets of data on the same graph
• shows spread of data and anomalies
• difficult to read accurately
• doesn’t tell you about the data
• shows location compared to the data
• like a scatter graph but with location