Data Presentation Flashcards

(33 cards)

1
Q

What are pie charts used to present?

A

Discrete data (percentages/proportion).

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2
Q

Why are pie charts effective?

A

Easy to understand and interpret.
Easy to draw.

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3
Q

Why are pie charts ineffective?

A

Calculating the size of each section can be more difficult than a bar chart.
Lots of sectors can make it difficult to analyse.

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4
Q

What do scatter graphs show?

A

Comparison/correlation of 2 sets of data (usually continuous) - eg: wind speed and distance.

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5
Q

Why are scatter graphs effective?

A

Easy to construct.
Shows the correlation between data clearly.

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6
Q

Why are scatter graphs ineffective?

A

Needs a large data set.
Almost impossible to label data points.

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7
Q

What do bar graphs show?

A

Absolute values.
Each bar = a category.
Discrete data (such as frequency).

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8
Q

Why are bar graphs effective?

A

Easy to construct.
Easy to understand.

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9
Q

Why are bar graphs ineffective?

A

Can be too simplistic.
Only for discrete data.

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10
Q

What do line graphs show?

A

Continuous data.

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11
Q

What are line graphs effective?

A

Easy to construct and understand.
Anomalies are easily identifiable.

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12
Q

Why are line graphs ineffective?

A

Time consuming to construct.
Often require addition info to be useful.

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13
Q

What do proportional circles/symbols show?

A

Located data.
Quantitative data.

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14
Q

Why are proportional circles/symbols effective?

A

Good visual representation of data.
Sophisticated.

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15
Q

Why are proportional circles/symbols ineffective?

A

Needs a correct scale otherwise may be difficult to read.
Must have a scale or it’s useless.
Circles may overlap.

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16
Q

What do chloropleth maps show?

A

Values for different locations/areas.
Grouped continuous data.

17
Q

Why are chloropleth maps effective?

A

Visually effective.
Easy to see patterns of variable change across a space.

18
Q

Why are chloropleth maps ineffective?

A

Time consuming to construct.
Doesn’t show variations with one location.

19
Q

Why is random sampling effective?

A

Least biased sampling technique.

20
Q

What is random sampling?

A

People/sites selected at random.
Used with large sample populations.

21
Q

What is systematic sampling?

A

Data is collected in an ordered way (eg: every 5 metres).

21
Q

Why is random sampling ineffective?

A

Can lead to poor representation of the overall population.
Time availability and access may change sample (eg: if a key site is closed = less tourists).

22
Q

Why is systematic sampling ineffective?

A

May exclude key sites.

23
Q

Why is systematic sampling effective?

A

It is straight forward.
Collects a good coverage of an area.

24
Why is stratified sampling?
Deliberately choosing which areas to sample.
25
Why is stratified sampling effective.
Can be used with other sampling techniques (eg: if systematic sampling misses out a key site). Very flexible technique. Can compare key sites.
26
Why is stratified sampling ineffective?
Requires good prior knowledge of an area. Access to areas can be a problem (eg: a key site is closed).
27
What is primary data?
Information you have collected yourself.
28
Why is primary data important?
Trustworthy. Up to date information.
29
Why is primary data ineffective?
May not find all the answers/data you may need. Human error in measurements. Usually a smaller sample size so harder to find general conclusions.
30
What is secondary data?
Data that has been collected by someone else.
31
Why is secondary data effective?
Easy to collect. Gives you data from the past (so can analyse changes over time). Usually covers larger areas / sample sizes.
32
Why is secondary data ineffective?
Isn’t always reliable. Can be out of date. Not specific to your needs.