A  Presenta*on  from  The  NewMR  “Advances  in  Quan*ta*ve  Research”  Event  

19  September,  2012  

Event  sponsored  by  Affinnova  All  copyright  owned  by  The  Future  Place  and  the  presenters  of  the  material  

For  more  informa=on  about  Affinnova  visit  www.affinnova.com  For  more  informa=on  about  NewMR  events  visit  newmr.org  

The  ‘science’  of  crea=ng  good  graphs    Tim  Bock,  Q      

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

The ‘science’ of creating good charts

Tim Bock, Q www.q-researchsoftware.com

tim.bock@q-researchsoftware.com +61 425 241 989

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

A  good  chart:  a  chart  that  can  be  quickly  and  

accurately  deciphered  

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Overview

•  How we comprehend charts

•  Less obvious cognitive limitations

•  Techniques for improving data visualizations

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Observe   Translate   Associate   Infer  

How we comprehend a chart

Created using Excel 2013

32%  

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January   February   March   April  

NET  PRO

MOTER  SCORE

 

Bank  A   Bank  B  

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

32%  

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40%  

January   February   March   April  

NET  PRO

MOTER  SCORE

 

Bank  A   Bank  B  

Observe   Translate   Associate   Infer  

How we comprehend a chart

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Observe   Translate   Associate   Infer  

How we comprehend a chart

32%  

29%  

35%  

32%  

12%  

23%  

29%  

32%  

0%  

5%  

10%  

15%  

20%  

25%  

30%  

35%  

40%  

January   February   March   April  

NET  PRO

MOTER  SCORE

 

Bank  A   Bank  B  

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Observe   Translate   Associate   Infer  

How we comprehend a chart

32%  

29%  

35%  

32%  

12%  

23%  

29%  

32%  

0%  

5%  

10%  

15%  

20%  

25%  

30%  

35%  

40%  

January   February   March   April  

NET  PRO

MOTER  SCORE

 

Bank  A   Bank  B  

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

1.  Maximize white space

Techniques for improving data visualizations

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Source:  Newspoll  

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Source:  Newspoll   Created using Excel 2013

Technique 2: Simplify the data (e.g., smooth)

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

 32    

 29    

 35    

 32    

 12    

 23    

 29    

 32    

JANUARY   FEBRUARY   MARCH   APRIL  

Net  Promoter  Score  (%)  Bank  A’s  NPS  is  trending  upwards  (at  a  decreasing  rate),  and  will  likely  soon  pass  Bank  B.    Bank  B’s  NPS  is  stable.  

Bank

 A  

  Bank

 B  

Created using Excel 2013

32%  

29%  

35%  

32%  

12%  

23%  

29%  

32%  

0%  

5%  

10%  

15%  

20%  

25%  

30%  

35%  

40%  

January   February   March   April  

NET  PRO

MOTER  SCORE

 

Bank  A   Bank  B  

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Obvious implications

 12    

 23    

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 29    

 35    

 32    

JANUARY   FEBRUARY   MARCH   APRIL  

Net  Promoter  Score  (%)  Bank  A’s  NPS  is  trending  upwards  (at  a  decreasing  rate),  and  will  likely  soon  pass  Bank  B.    Bank  B’s  NPS  is  stable.  

Bank

 A  

  Bank

 B  

12%  

23%  

29%  

32%  32%  

29%  

35%  

32%  

0%  

5%  

10%  

15%  

20%  

25%  

30%  

35%  

40%  

January   February   March   April  

NET  PRO

MOTER  SCORE

 

Bank  A   Bank  B  

Less    obvious  cogni=ve  

limita=ons  

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

we  can  plot  in  at  least  9  graphical  dimensions  

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

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Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

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Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

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Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

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Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

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- - - - -- - - - - - - - -- - - - - - - - - - - - -- - - - - -- - - -- - - -- - - - - - - -- - - - - - - -- - - -

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

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- - - - -- - - - - - - - -

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Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

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Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

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Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Which  dimensions  are  best?  

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Adapted  from  Figure  6  Green,  Marc.  1998.  Toward  a  Perceptual  Science  of  Mul=dimensional  Data  Visualiza=on:  Ber=n  and  Beyond.  hbp://graphics.stanford.edu/courses/cs448b-­‐06-­‐winter/papers/Green_Towards.pdf.  

Spot the odd one out

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Adapted  from  Figure  6  Green,  Marc.  1998.  Toward  a  Perceptual  Science  of  Mul=dimensional  Data  Visualiza=on:  Ber=n  and  Beyond.  hbp://graphics.stanford.edu/courses/cs448b-­‐06-­‐winter/papers/Green_Towards.pdf.  

Spot the odd one out

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Spot the odd one out

Adapted  from  Figure  6  Green,  Marc.  1998.  Toward  a  Perceptual  Science  of  Mul=dimensional  Data  Visualiza=on:  Ber=n  and  Beyond.  hbp://graphics.stanford.edu/courses/cs448b-­‐06-­‐winter/papers/Green_Towards.pdf.  

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Adapted  from  Figure  6  Green,  Marc.  1998.  Toward  a  Perceptual  Science  of  Mul=dimensional  Data  Visualiza=on:  Ber=n  and  Beyond.  hbp://graphics.stanford.edu/courses/cs448b-­‐06-­‐winter/papers/Green_Towards.pdf.  

Spot the odd one out

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Our cognitive limitations

1.  We are poor at processing information in 4+ dimensions (the fewer the better) ¹

¹Ber=n,  J.  (1967).  Sémiologie  graphique:  les  diagrammes,  les  réseaux,  les  cartes.  Paris,  Gauthiers-­‐Villars.  

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

----------------------------------------------------------------------------------------------------------------- -------------- ---------- ------- --------- ----- ------------- --------------------------------------------------------------------------------------------------------------- --------- ------- ------- ------ ------- ------- --------- ----------------------------------------------

------------------------------ ----- ---- ------ -------- ------ --

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

----------------------------------------------------------------------------------------------------------------- -------------- ---------- ------- --------- ----- ------------- --------------------------------------------------------------------------------------------------------------- --------- ------- ------- ------ ------- ------- --------- ----------------------------------------------

------------------------------ ----- ---- ------ -------- ------ --

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Our cognitive limitations

1.  We are poor at processing information in 4+ dimensions (the fewer the better) ¹

2.  We are poor at processing colour

¹Ber=n,  J.  (1967).  Sémiologie  graphique:  les  diagrammes,  les  réseaux,  les  cartes.  Paris,  Gauthiers-­‐Villars.  

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

What is the pattern?

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

What is the pattern?

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

What is the pattern?

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Adapted  from  Pinker,  Stephen  (1990),  "A  Theory  of  Graph  Comprehension,"  in  Ar=ficial  Intelligence  and  the  Future  of  Tes=ng,  Roy  O.  Freedle,  Ed.:  Routledge.  

What is the pattern?

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Our cognitive limitations

1.  We are poor at processing information in 4+ dimensions (the fewer the better) ¹

2.  We are poor at processing colour non-spatial dimensions (i.e., horizontal and vertical position)¹

¹Ber=n,  J.  (1967).  Sémiologie  graphique:  les  diagrammes,  les  réseaux,  les  cartes.  Paris,  Gauthiers-­‐Villars.  

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Which bar is longer?

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Which bar is longer?

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Which bar is longer?

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Which bar is longer?

Tversky,  Barbara  (2001),  "Spa=al  Schemas  in  Depic=ons,"  in  spa=al  schemas  and  abstract  thought,  M.  Gans,  Ed.  Cambidge:  MIT  Press.  

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Our cognitive limitations

²Tversky,  Barbara  (2001),  "Spa=al  Schemas  in  Depic=ons,"  in  spa=al  schemas  and  abstract  thought,  M.  Gans,  Ed.  Cambidge:  MIT  Press.  

1.  We are poor at processing information in 4+ dimensions (the fewer the better) ¹

2.  We are poor at processing non-spatial dimensions (i.e., horizontal and vertical position)¹

3.  Vertical is best, closely followed by horizontal²

¹Ber=n,  J.  (1967).  Sémiologie  graphique:  les  diagrammes,  les  réseaux,  les  cartes.  Paris,  Gauthiers-­‐Villars.  

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

WHY?  

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

You  have  3  seconds  to  remember  what  is  on  the  

next  slide  

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

asercaliftiragiupliscoceouxpilidis

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Did  you  fail?    

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

You  have  3  seconds  to  remember  what’s  on  the  

next  slide  

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

supercalifragilisticexpialidocious

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Our cognitive limitations

²Tversky,  Barbara  (2001),  "Spa=al  Schemas  in  Depic=ons,"  in  spa=al  schemas  and  abstract  thought,  M.  Gans,  Ed.  Cambidge:  MIT  Press.  

1.  We are poor at processing information in 4+ dimensions (the fewer the better) ¹

2.  We are poor at processing non-spatial dimensions (i.e., horizontal and vertical position)¹

3.  Vertical is best, closely followed by horizontal²

4.  It is harder to process unfamiliar information²

¹Ber=n,  J.  (1967).  Sémiologie  graphique:  les  diagrammes,  les  réseaux,  les  cartes.  Paris,  Gauthiers-­‐Villars.  

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

We understand pies

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

 12    

 23    

 29    

 32      32    

 29    

 35    

 32    

JANUARY   FEBRUARY   MARCH   APRIL  

Bank

 A  

  Bank

 B  

We understand height and columns (piles)

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

We understand lines and slopes

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Our cognitive limitations

²Tversky,  Barbara  (2001),  "Spa=al  Schemas  in  Depic=ons,"  in  spa=al  schemas  and  abstract  thought,  M.  Gans,  Ed.  Cambidge:  MIT  Press.  

1.  We are poor at processing information in 4+ dimensions (the fewer the better) ¹

2.  We are poor at processing non-spatial dimensions (i.e., horizontal and vertical position)¹

3.  Vertical is best, closely followed by horizontal²

4.  It is harder to process unfamiliar information²

5.  When examining familiar shapes we like to draw standard inferences from these shapes²

¹Ber=n,  J.  (1967).  Sémiologie  graphique:  les  diagrammes,  les  réseaux,  les  cartes.  Paris,  Gauthiers-­‐Villars.  

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

We do not expect to see “trends” in piles

We anticipate trends in lines

Created using Excel 2013

 32    

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 32    

 12    

 23    

 29    

 32    

JANUARY   FEBRUARY   MARCH   APRIL  

Net  Promoter  Score  (%)  Bank  A’s  NPS  is  trending  upwards  (at  a  decreasing  rate),  and  will  likely  soon  pass  Bank  B.    Bank  B’s  NPS  is  stable.  

Bank

 A  

  Bank

 B  

 -­‐        

 5    

 10    

 15    

 20    

 25    

 30    

 35    

 40    

JANUARY   FEBRUARY   MARCH   APRIL  

Net  Promoter  Score  (%)  

Bank  A  

Bank  B  

Bank

 A  

  Bank

 B  

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

1.  Maximize white space

2.  Simplify data

3.  Identify the key data/pattern to be communicated and then work out how to display the data

Techniques for improving data visualizations

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Created using Excel 2013

 32    

 29    

 35    

 32    

 12    

 23    

 29    

 32    

JANUARY   FEBRUARY   MARCH   APRIL  

Net  Promoter  Score  (%)  

Bank  B  

Bank

 A  

  Bank

 B  

Bank  A  

 -­‐        

 5    

 10    

 15    

 20    

 25    

 30    

 35    

 40    

JANUARY   FEBRUARY   MARCH   APRIL  

Net  Promoter  Score  (%)  

Bank  A  

Bank  B  Ba

nk  A  

  Bank

 B  

Technique 4: Harmonize graphical elements

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Change the height and width of plots so that the lines have an average slope of 45 degrees

*Cleveland,  W.  S.  (1993).  Visualizing  Data.  Summit,  New  Jersey,  Hobart  Press.  

Technique 5: Bank to 45 degrees

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

80º

85º

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

203040506070

17-­‐Nov-­‐85 13-­‐Aug-­‐88 10-­‐May-­‐91 3-­‐Feb-­‐94 30-­‐Oct-­‐96 27-­‐Jul-­‐99 22-­‐Apr-­‐02 16-­‐Jan-­‐05 13-­‐Oct-­‐07 9-­‐Jul-­‐10

Satisfaction  

with

 PM  (%

) Hawke

Keating

Howard

Rudd Gillard

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Now  for  some  more  challenging  graphing  

problems  (and  solu=ons)  

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Default line plots are poor

-­‐100  

-­‐80  

-­‐60  

-­‐40  

-­‐20  

0  

20  

40  

60  

NPS  

Brand  A  

Brand  B  

Brand  C  

Brand  D  

Brand  E  

Brand  F  

Brand  G  

Brand  H  

Brand  I  

Brand  J  

Created using Excel 2013

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Oct Nov Dec Jan Feb Mar2010 2011

-­‐60

-­‐40

-­‐20

0

20

40

Net  Promoter  Score  (%

)

Brand  A

Brand  BBrand  CBrand  D

Brand  EBrand  FBrand  GBrand  HBrand  I

Brand  JBrand  K

Other

Even the harmonized plot is bad

Created using Q

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Brand  A Brand  B Brand  C Brand  D Brand  E Brand  F Brand  G Brand  H Brand  I Brand  J Brand  K Other

-­‐60

-­‐40

-­‐20

0

20

40

Net  Prom

oter  Score  (%)

O N D J F M2010 2011

O N D J F M2010 2011

O N D J F M2010 2011

O N D J F M2010 2011

O N D J F M2010 2011

O N D J F M2010 2011

O N D J F M2010 2011

O N D J F M2010 2011

O N D J F M2010 2011

O N D J F M2010 2011

O N D J F M2010 2011

O N D J F M2010 2011

Created using Q

Technique 6: Use ‘small multiples’ (little charts with a table-like layout)

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Brand  A Brand  B Brand  C Brand  D Brand  E Brand  F Brand  G Brand  H Brand  I Brand  J Brand  K Other

-­‐60

-­‐40

-­‐20

0

20

40

Net  Prom

oter  Score  (%)

O N D J F M2010 2011

O N D J F M2010 2011

O N D J F M2010 2011

O N D J F M2010 2011

O N D J F M2010 2011

O N D J F M2010 2011

O N D J F M2010 2011

O N D J F M2010 2011

O N D J F M2010 2011

O N D J F M2010 2011

O N D J F M2010 2011

O N D J F M2010 2011

Significantly  up Not  significant Significantly  down

Created using Q

Technique 7: Use colour to emphasize

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Net  Promoter  Score  (%)

Brand  A Brand  B Brand  C Brand  D Brand  E Brand  F Brand  G Brand  H Brand  I Brand  J Brand  K Other

-­‐77

-­‐63-­‐56

-­‐46

-­‐19 -­‐14-­‐8

7 10

3040

-­‐36

Significantly  up Not  significant Significantly  down

Columns  show  results  from  the  last  month.  Arrows  next  to  column  labels  indicate  significance  changes  compared  to  previous  month.   Created using Q

Technique 8: Annotate with small plots

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

USA

Russia

England

France Germany Denmark Portugal Holland Flanders

0 400 1000 1300 1700 1804

Hans towns Venice & Genoa

Spain Constantinople Alexandria Rome Carthage Israel & Judea Greece Tyra etc. Assyria etc. Egypt

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

USA

Russia

England

France Germany Denmark Portugal Holland Flanders

0 400 1000 1300 1700 1804

Hans towns Venice & Genoa

Spain Constantinople Alexandria Rome Carthage Israel & Judea Greece Tyra etc. Assyria etc. Egypt

“Diagonaliza=on”  

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

1.  Maximize white space

2.  Simplify data

3.  Identify the key data/pattern to be communicated and then work out how to display the data

4.  Harmonize graphical elements

5.  Bank to 45 degrees

6.  Use “small multiples”

7.  Use colour to emphasize

8.  Annotate plots with small plots

9.  Reorganize the data so that it resembles familiar patterns

Techniques for improving data visualizations

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

hbp://wfive.files.wordpress.com/2012/03/linkf.png  

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

FeminineHealth-­‐conscious Innocent Older

Open  tonew

experiences Rebellious Sleepy TraditionalWeight-­‐conscious

Coke

Diet  Coke

Coke  Zero

Pepsi

Diet  Pepsi

Pepsi  Max

%

FeminineHealth-­‐conscious Innocent Older

Open  tonew

experiences Rebellious Sleepy TraditionalWeight-­‐conscious

Coke

Diet  Coke

Coke  Zero

Pepsi

Diet  Pepsi

Pepsi  Max

%

Created using Q

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Created using Q

Sleepy Innocent FeminineWeight-­‐conscious

Health-­‐conscious

Open  tonew

experiences Rebellious Older Traditional

Diet  Pepsi

Diet  Coke

Coke  Zero

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Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

1.  Maximize white space

2.  Simplify data

3.  Identify the key data/pattern to be communicated and then work out how to display the data

4.  Harmonize graphical elements

5.  Bank to 45 degrees

6.  Use “small multiples”

7.  Use colour to emphasize

8.  Annotate plots with small plots

9.  Reorganize the data so that it resembles familiar patterns

SUMMARY Techniques for improving data visualizations

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Thank you

Tim Bock Q

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Q & A

Tim Bock Q

Ray Poynter VCU, Vision Critical

Tim Bock, Q, Australia NewMR Advances in Quantitative Research Event, 19 September 2012, Session 2

Tim Bock, Q www.q-researchsoftware.com

tim.bock@q-researchsoftware.com +61 425 241 989

A  Presenta*on  from  The  NewMR  “Advances  in  Quan*ta*ve  Research”  Event  

19  September,  2012  

Event  sponsored  by  Affinnova  All  copyright  owned  by  The  Future  Place  and  the  presenters  of  the  material  

For  more  informa=on  about  Affinnova  visit  www.affinnova.com  For  more  informa=on  about  NewMR  events  visit  newmr.org  

The  ‘science’  of  crea=ng  good  graphs    Tim  Bock,  Q