(F) Data presentation Flashcards
Bar charts:
- uses
- advantages
- disadavantages
-how to recognise
- 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
Located bar chart:
- uses
- advantages
- disadavantages
-how to recognise
- 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
Histograms:
- uses
- advantages
- disadavantages
-how to recognise
-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
Comparative bar graph:
- uses
- advantages
- disadavantages
-how to recognise
- 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
Divergent bar graph:
- uses
- advantages
- disadavantages
-how to recognise
- 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
Compound bar graph
- 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
Scattergraphs:
- uses
- advantages
- disadavantages
-how to recognise
- 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
Line graphs:
- uses
- advantages
- disadavantages
-how to recognise
- 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
Pictograms:
- uses
- advantages
- disadavantages
-how to recognise
- 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
Pie charts:
- uses
- advantages
- disadavantages
-how to recognise
- 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
Photgraphs/field sketches:
- uses
- advantages
- disadavantages
-how to recognise
- 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
Proportional circles:
- uses
- advantages
- disadavantages
-how to recognise
- 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
Chloropleth maps:
- uses
- advantages
- disadavantages
-how to recognise
- 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
Flow line maps:
- uses
- advantages
- disadavantages
-how to recognise
- 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
Isoline maps:
- uses
- advantages
- disadavantages
-how to recognise
-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
