understanding and presenting data
TRANSCRIPT
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Understanding dataNumbers, tables, charts and textJen Beaumont&Andy Botterill
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Contents
Numbers: how to present them
effectively Tables: how to understand and present
tables
Charts: interpreting charts and whatmakes it difficult
Text: the main rules for describingnumbers
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Know your audience and aims before
you present data
Audience
Who is going to see the data or who was it intendedfor?
What are this audience going to need to help them?
Aims
What are you trying to convey?
What data do you need?
How much detail do you need to include?
What is the best way to sell your message?
Tables, charts or text or a combination
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Know what you are trying to get out of data
Who was it intended for?
What are you going to need to help youunderstand?
Aims
What are you trying to get out of it?
How much detail do you need?
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Useful numbers
Whatever way you want to present numbers
then the way you write and align them isimportant
This is true for any form of presentation
You should round numbers appropriately they are easier to read and compare
You should use commas to separate 1,000s
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12,573,981
The way you write a number so that it
can be read
12573981
Can you read this number?
Or is this better?
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Here it might be sensible to use13 million
and 112 million
12573981
111894397
12,573,981
111,894,397
What about two numbers?
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Tables
Extracting information from a table is likeextracting sunlight from a cucumber
(Farqhuar and Farqhuar, 1891)
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Tables: What should be presented
Clear information
Concise information
Correct information
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Source: Times7 January 2008
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A good table? . (or not)
203672968Total
406589Luxembourg
58491643United Kingdom
81538628Germany
5215732Denmark
58020376France
Total populationCountry
Population of part of Europe 1995
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A good table? possibly
203,672,968Total
406,589Luxembourg
58,491,643United Kingdom
81,538,628Germany
5,215,732Denmark
58,020,376France
Total populationCountry
Population of part of Europe 1995
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even better
40.081.5Germany
100.0203.7Total
0.20.4Luxembourg
2.65.2Denmark
28.558.0France
28.758.5United Kingdom
Per centof total
Total population
(Millions)Country
Population of part of Europe 1995
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So, from this example ..
Less digits, effective rounding
Easier to understand
Easier to remember More information
Better information Some value added
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Order matters
Here are data for the number of houses built in 2003,2004 and 2005
24,000 22,000 23,000
And the same three numbers as a column24,000
22,000
23,000
Without any additional information which year wouldyou think was which?
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Principles for assessing tables 1
Are the figures rounded effectively?
Do they compare numbers in columns not
rows?
Does the table read left to right and top to
bottom?
Are there totals to right and bottom oftable?
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Principles for assessing tables 2
Does time run down or from left to right?
Are the columns and rows in natural or
size order?
Does the layout guide the eye?
Could it be simpler?
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The writing isnt there to fill up the page!
Dont ignore the edges headers, footnotes
and endnotes are there for a reason All properly produced tables have a lot of
information apart from the number you are
seeking you do not always have to be anexpert in the subject to understand them
You should always look at the labels and in
attached notes first They will help you interpret the data clearly
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Metadata or how to find out what a number
means and how to use it correctly
Metadata is the technical word for 'data about
data'. It is the term used to describe the summary
information or characteristics of a set of data
and can often be found in on line data outputsby clicking on something like this .
If the data are National Statistics then some
the descriptive information must be there.
i
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Metadata: an example
Where to find
evidence of goodpractice
https://www.nomis
web.co.uk/Default.asp
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Charts
A picture is worth a thousands words unless it is a
bad chart
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What is a chart supposed to show?
It should have an aim: the samedata can be presented in differentways for different purposes
When drawing a chart, check if thechart meets the aim: if not, discard
it and start again
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Mode of travel to work
0
20
40
60
80
100
Cardiff Newport Wrexham Powys Counties
Percentage
Car
Bus
Train
Other
Aim: To show the
differences inmodes of travelto work within
counties
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Mode
Modes of travel to work
0
20
40
60
80
100
Car Bus Train Other
Percentage
sCardiff
Newport
Wrexham
Powys
Aim: To show thedifferences of
modes of travel towork
between counties
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Mode of travel to work
0
20
40
60
80
100
Cardiff Newport Wrexham Powys Counties
Car
Bus
Train
Other
Aim: To show the differencesin modes of travel towork within counties
Mode
Modes of travel to work
0
20
40
60
80
100
Car Bus Train Other
Percentage
Cardiff
Newport
Wrexham
Powys
Aim: To show the differencesof modes of travel to work
between counties
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Format in Graphs
population
1994 1995 1996 1997 1998 1999 2000
Graph A
The scales have beenmanipulated toproduce differentimpressions
Graph Bpopulation
1994 1995 1996 1997 1998 1999 2000
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
27,000
28,000
29,000
30,000
32,000
31,000
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population
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
1994 1995 1996 1997 1998 1999 2000
It is correct to include
0 in the scale
population
0
5
10
15
20
25
3035
1994 1995 1996 1997 1998 1999 2000
T
housands
It may also be
clearer to simplifythe y axis labels
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Poor examples of
charts
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Source:
AnnualReport ofWine
StandardsBoard2005-06
A really bad chart
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Source: CAPC
Enquiries: 020 7126 4610
Rail only
Rail with transfer to LUL or
DLR
LUL or DLR only
Bus
Car
Other1
0
200
400
600
800
1000
1200
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
Numberofpeople(thousands
1. Includes coach/minibus, taxi, powered two wheeler and cycle
Chart 1.4.1 People entering central London in the morning peak
Another really bad chart
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Zone 1
Zone 2
Zone 3
Zone
4/5/6 Zone 1
Zone 2
Zone 3
Zone 4/5/6
0
5
10
15
20
25
30
35
Percentage
Fare zone
Fare zone
Source: GLBPS
Enquiries: 020 7126 4553
Chart 1.2.3 Spatial distribution of bus journey stages by fare zone (2005/06)
Start zone?
Order?
An even worse chart
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Chart 1.2.4 Spatial distribution of Underground journey stages by fare zone(2004/05)
Zone 1
Zone 2
Zone 3
Zone
4/5/6
Zone 1
Zone 2
Zone 3
Zone 4/5/6
0
5
10
15
20
25
30
35
Percentage
Fare zone
Fare zone
Source: UUS
Enquiries: 020 7918 4599
1. Zones A,B,C,D are included in Zone 6 in the data.
Start zone?
Order?
And another
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Taken from The Times
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Taken from The Times
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Public Agenda: The Times 15 November 2006
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Someonedefinedthis as theWorst piechart everproduced
Source:
How stuffworkswebsite
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1st
Qtr
2nd
Qtr
3rd
Qtr4thQtr
East
North
0
50
100
East
West
North
One to be avoided
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1st Qtr2nd Qtr
3rd Qtr4th Qtr
East
West
North
0
20
40
60
80
100
East
West
North
Another one to be avoided
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1
97
6
1
9
7
8
1
9
80
1
9
8
2
1
9
8
4
1
9
8
6
1
9
8
8
1
9
9
0
1
9
9
2
1
9
9
4
1
9
9
6
40
50
60
70
80
90
100
And one similar to this was published
Wales Index
GB Index
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2nd Qtr
13%
1st Qtr
13%
4th Qtr
13%
3rd Qtr
61%
One to avoid!
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1st Qtr
2nd Qtr3rd Qtr
4th Qtr
Questionable use: visual comparison only
Ipsos MORI:
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psos OEnd of Year Review 2006
Missing data? Order?
Ipsos MORI: Order?
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pEnd of Year Review 2006
O deGap?
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Figure 1: Percentage of interventions identified in each
category
1 -
Universally
applied
5 - Early
problems
6 - Severe
problems
2 - Pre-
school
3 - School-
aged
4 - Adults
and elderly
Vi ibl t i t l i t t ith
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Visible percentage is not always consistent withactual percentage
535 Early problems
1496 Severe problems(white)
19174 Adults and elderly
463 School- aged
12222 Pre-school
46431 Universallyapplied
Actual
percentagefrom data
Apparentpercentage of
visible areaCategory
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Principles for Charts
Use only two dimensions and no
explosions!
Label effectively and start at zero
Create statistically correct charts
Use gridlines on graphs and charts
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Text: assess by the following rules
Is it written for the right audience?
Is there unexplained technical language?
Are there acronyms without reference?
Does it use plain English?
Does it use the rules for the presentation ofnumbers?
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Some examples
Hospital waiting lists rose by 3,217 to106,938. hospital waiting lists rose by 3,000 (3 percent) to 107,000
196,476 new houses were built in 1998
compared with 239,172 ten years earlier
House building is declining. In 1988 some240,000 new houses were built: in 1998around 200,000 were built.