Data presentation: types of data and factors worth considering

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Geographical skills revision
Data presentation: types of data and factors and considering
Types of data
Discrete: data with distinct separate parts
Ordinal: data that can be ordered
Continuous: data where there are no breaks, but instead something happens
continuously
Areal: data that applies to an area rather than a point
Time series: data that applies to an area rather than a point
Period data: where as phenomenon repeats itself at intervals
Factors worth considering
Scale/interval: if scale is too large it will hide patterns, if its too small it
will take too long to complete and could produce complex patterns that are
hard to interpret, figures have a clear scale with no overlapping values,
scale always starts at 0.
Location: where the figure should be placed to represent the area it applies
to best, make sure comparative diagrams are of the same scale.
Size of symbol: shouldn't be too large as they can overlap or hide
information on the map, but mustn't be too small as they could be hard to
see or may be read inaccurately.
Shading: should always get darker as the value increases, white will apply
where there's no data. The shade should always be the same colour.
Colour: avoided as it is difficult to compare colours. However, it can be
useful when comparing patterns.
Lettering: varies in alignment, size, spacing and style. Shouldn't obscure
data and should be easy to read. Similar sizes should be used on each data
presentation technique.
Dimension: 3D can cope with higher values, but the value is proportional to
its value so it involves careful calculation and it may mislead visually by
looking less than it actually is.
Key: all maps and diagrams need a key which should be clearly located on
the map or diagram
Legend: all maps and diagrams need a title and figure number
Scale: maps need a scale

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