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Effective data visualisation for marketers
www.wallpaperingfog.co.uk
A quick guide to data visualisation for marketers…
            communicating data effectively with charts


Charts can be a great help to putting across your
argument, or they can make life difficult and frustrating
for your audience

Effective charts aren‟t necessarily pretty charts; they‟re
functional - there‟s a huge difference between „pretty‟ and
„elegant‟

If you only want a chart to act as a picture on a slide and
people aren‟t actually supposed to try to read the
data, then making an effective chart matters less.

But why would you put a chart on a PowerPoint slide that
people aren‟t supposed to read? They‟ll try anyway.
Why are you drawing a chart?


It‟s an obvious question, but an important one.

You‟re trying to communicate a point and you use a chart
because the chart makes it easier and faster for your
audience to understand, than just writing down numbers.

Or it should be easier and faster to understand than just
writing down numbers, which leads to our first point.

Is a chart the best way to communicate your data?
Internet share of spend in 2010 was 24%


                           Cinema
                             1%



                                    Direct Mail      Door Drops
                                       12%              1%
              TV
             29%




                                                  Internet
                                                    24%
     Radio
      4%




                                         Outdoor
                   Press                   5%
                   24%
Internet share of spend in 2010 was 24%



                 2010 Share of Spend

 TV                     29%
 Internet               24%
 Press                  24%
 Direct Mail            12%
 Outdoor                 5%
 Radio                   4%
 Cinema                  1%
 Door Drops              1%
Internet share of spend in 2010

             24%
Edward Tufte introduced the „Data-Ink Ratio‟ in 1983,
when drawing a chart took a lot longer than it does now


 He wasn‟t trying to save time – he was trying to draw
 effective charts

 The data-ink ratio is the amount
 of ink you‟ve used to illustrate the
 data, set against the total amount
 of ink used to draw the chart

 Ideally, every bit of ink used to
 draw a chart should be necessary
 to making that chart work.
Napoleon‟s March

(Because there was no such thing as Excel in 19th Century France)
Anything on your chart that isn‟t communicating data,
                       makes it harder to understand


“Chart Junk” that is unhelpful includes

• Gridlines

• 3D

• Borders

• Shading

• Clip art

• Different colours that don‟t change for a reason

• Prominent axes and titles
This is pretty, but it‟s a terrible chart
                                   How much more was spent on TV than Door Drops?



Direct Mail                   Door Drops   Internet   Outdoor   Press   Radio   TV
  Spend (£)




              60,000,000.00




              50,000,000.00




              40,000,000.00




              30,000,000.00




              20,000,000.00




              10,000,000.00




                       0.00
3D is always a bad thing

                            Direct Mail   Door Drops   Internet     Outdoor   Press   Radio   TV
Spend (£)




            60,000,000.00




            50,000,000.00




            40,000,000.00




            30,000,000.00




            20,000,000.00




            10,000,000.00




                     0.00
Axes, borders and gridlines distract from the data

                            Direct Mail   Door Drops   Internet   Outdoor   Press   Radio   TV
Spend (£)




            60,000,000.00




            50,000,000.00




            40,000,000.00




            30,000,000.00




            20,000,000.00




            10,000,000.00




                     0.00
The colour isn‟t helpful; labels are better
Spend (£)




            60,000,000.00




            50,000,000.00




            40,000,000.00




            30,000,000.00




            20,000,000.00




            10,000,000.00




                     0.00

                            Direct Mail   Door Drops   Internet   Outdoor   Press   Radio   TV
We don‟t actually need the vertical axis and gridlines at all




   £50,245,646




                                                     £38,560,717




                                                                              £4,199,331
                  £1,702,692
                               £572,992   £110,100                 £288,433

    Direct Mail   Door Drops   Internet   Outdoor       Press       Radio        TV
Sorting the data is a huge help for your audience




£50,245,646




              £38,560,717




                            £4,199,331
                                         £1,702,692
                                                      £572,992   £288,433   £110,100

Direct Mail      Press         TV        Door Drops   Internet    Radio     Outdoor
We learned at school that bar charts go upwards, but
                  horizontal bars are often easier to read




Direct Mail                                           £50,245,646




     Press                              £38,560,717




        TV               £4,199,331




Door Drops       £1,702,692




  Internet    £572,992




     Radio    £288,433




  Outdoor     £110,100
One‟s pretty, the other communicates a point!



             Direct Mail    Door Drops   Internet   Outdoor
             Press          Radio        TV
                                                              Direct Mail                                  £50,245,646


            60,000,000.00
Spend (£)




                                                                   Press                     £38,560,717
            50,000,000.00




            40,000,000.00                                             TV        £4,199,331



            30,000,000.00
                                                              Door Drops     £1,702,692

            20,000,000.00


                                                                Internet    £572,992
            10,000,000.00




                     0.00                                          Radio    £288,433




                                                                Outdoor     £110,100
Going to extremes


The people we work with in marketing don‟t often have
maths and statistics backgrounds and you can take
simplification too far

A splash of colour that stops a slide looking like a maths
text-book is definitely a good thing!

Very often though, simpler visuals are easier for people who
don‟t like charts. You don‟t need to know how a dual axis line
chart works – you just read the data label next to the point
that you‟re interested in.
Our brains are much faster at pre-attentive processing



When you find yourself actually reading a chart to try to
understand what it says, that‟s attentive processing

Attentive processing happens in the conscious mind and
it‟s slow



If you can almost instantly read the data, that‟s pre-
attentive processing and it‟s very, very fast
How many number 5s are there?
What about now?
We can make good use of pre-attentive processing



If we‟re presenting data, then it should have a point

If it doesn‟t have a point, then you‟re going to struggle to
draw an effective chart!



What do you want your audience to see?

Highlight the conclusion
Features you can change that the brain will process
                          unconsciously (and fast)
Brand A share of voice has fallen in 2011




                                                                                                                                                     45.57%




                                                                                                                                            34.98%
                                                                                                                                   32.90%




                                                                                                                                                                                        18.37%



         13.26%

                                                                                                                                                                                                          10.99%
10.06%                                                                                                                                                                                           10.00%
                                                                               9.32%
                   7.73%                                                                8.07%
                                             7.41%                                                                         7.34%
                                    6.66%                     6.45%                                      6.70%                                                                  6.56%                                                                6.43%
                                                     5.37%                                                        5.49%                                                                                                                      5.53%             5.50%
                           4.81%
                                                                                                 4.05%                                                        4.55% 5.07%
                                                                                                                                                                                                                           3.59%
                                                                       2.25%                                                                                                                                       2.37%             2.61%
  2009

           2010

                    2011

                            2009

                                     2010

                                              2011

                                                      2009

                                                               2010

                                                                        2011

                                                                                2009

                                                                                         2010

                                                                                                  2011

                                                                                                          2009

                                                                                                                   2010

                                                                                                                            2011

                                                                                                                                     2009

                                                                                                                                              2010

                                                                                                                                                       2011

                                                                                                                                                               2009

                                                                                                                                                                        2010

                                                                                                                                                                                 2011

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                                                                                                                                                                                                   2010

                                                                                                                                                                                                            2011

                                                                                                                                                                                                                    2009

                                                                                                                                                                                                                             2010

                                                                                                                                                                                                                                      2011

                                                                                                                                                                                                                                              2009

                                                                                                                                                                                                                                                       2010

                                                                                                                                                                                                                                                                2011
         Brand A                   Brand B                   Brand C                   Brand D                   Brand E                    Brand F                   Brand G                    Brand H                   Brand I                   Brand J
Brand A share of voice has fallen in 2011




                                                                                                                                       45.57%




                                                                                                                              34.98%
                                                                                                                     32.90%




                                                                                                                                                                      18.37%



         13.26%

                                                                                                                                                                                    10.99%
10.06%                                                                                                                                                                         10.00%
                                                                        9.32%
                  7.73%                                                      8.07%
                                       7.41%                                                             7.34%
                                  6.66%               6.45%                                    6.70%                                                      6.56%                                                           6.43%
                                                 5.37%                                              5.49%                                                                                                            5.53%     5.50%
                          4.81%
                                                                                       4.05%                                                    4.55%5.07%
                                                                                                                                                                                                    3.59%
                                                                2.25%                                                                                                                          2.37%     2.61%
  2009

           2010

                   2011



                           2009

                                   2010

                                          2011



                                                  2009

                                                         2010

                                                                 2011



                                                                         2009

                                                                                2010

                                                                                        2011



                                                                                                2009

                                                                                                       2010

                                                                                                              2011



                                                                                                                       2009

                                                                                                                                2010

                                                                                                                                         2011



                                                                                                                                                 2009

                                                                                                                                                        2010

                                                                                                                                                               2011



                                                                                                                                                                        2009

                                                                                                                                                                                 2010

                                                                                                                                                                                        2011



                                                                                                                                                                                                2009

                                                                                                                                                                                                       2010

                                                                                                                                                                                                              2011



                                                                                                                                                                                                                      2009

                                                                                                                                                                                                                               2010

                                                                                                                                                                                                                                       2011
          Brand A                  Brand B               Brand C                Brand D                Brand E                 Brand F                  Brand G                 Brand H                Brand I               Brand J
The seven items rule


Our short-term memory can‟t hold more than seven things
at once. Given more than seven things to look at, you‟re
forced to think actively about what you‟re doing

If you put more than seven series on a chart, or segments in
a pie chart, you‟ll force people to think about the
chart, rather than about the point you‟re making

More than seven lines on a chart is too many

More than seven segments in a pie chart is too many

Even better, use five as a limit wherever possible
Pie charts are rarely the best chart to use


Data visualisation professionals (yes, it‟s a job) really hate
pie charts.

They‟re not always a bad idea, but they do have problems

• Pie charts divide up the area of a circle and people
  really aren‟t good at visually judging differences in area

• It‟s difficult to illustrate more than four or five
  categories with a pie

• Pie charts take away your ability to make use of
  colour, because each slice has to be a different shade

• There are plenty more here
Which category is largest?




Door Drops
                     Direct Mail




   TV




             Press
Which category is largest?




                                        Press
Door Drops
                     Direct Mail




                                   Direct Mail




                                   Door Drops
   TV




             Press
                                           TV
Showing a lot of categories really doesn‟t work on a
                                          pie chart…


                                  Daily Telegraph (B)
                                  Daily Mail (T)
                                  Sunday Times (B)
                                  Times (B/t)
                                  Sunday Telegraph (B)
                                  Daily Express (T)
                                  Mail On Sunday (T)
                                  Sunday Express (T)
                                  Saga Magazine
                                  Guardian (B/bl)
                                  Radio Times *from 01/00
                                  Sunday Times (Scot)
                                  Daily Mail (Scot)
                                  Daily Exp (Scot) (T)
                                  Observer (B/bl)
                                  Reader's Digest
                                  Independent (B/t)
                                  National Trust Magazine*from 03/95
                                  Daily Mirror (T)
                                  Garden The *from 01/93
                                  M&s Magazine *from 01/00
                                  Sunday Mirror (T)
                                  Yours
…But it‟s not because there was too much data


       Daily Telegraph (B)
             Daily Mail (T)
         Sunday Times (B)
                Times (B/t)
     Sunday Telegraph (B)
          Daily Express (T)
       Mail On Sunday (T)
        Sunday Express (T)
            Saga Magazine
           Guardian (B/bl)
  Radio Times *from 01/00
      Sunday Times (Scot)
          Daily Mail (Scot)
        Daily Exp (Scot) (T)
           Observer (B/bl)
           Reader's Digest
        Independent (B/t)
            National Trust…
           Daily Mirror (T)
  Garden The *from 01/93
M&s Magazine *from 01/00
         Sunday Mirror (T)
                     Yours
Either it‟s difficult to use the legend to work out which
                                       segment is which…

                                         1%


                              1%              1%
                                        1%     1%
                                   1%
                                                          Dirmail Region National
                                   2%
                              2%                          Daily Telegraph (B)
                         3%
                                                          Daily Mail (T)
                    3%
                                                          Sunday Times (B)
               3%
                                                          Times (B/t)
          4%                                              Sunday Telegraph (B)
                                                          Daily Express (T)
         6%                                               Mail On Sunday (T)
                                                          Door Drops Region National
                                                    59%
                                                          Sunday Express (T)
                                                          Saga Magazine
               12%
                                                          Guardian (B/bl)
                                                          Radio Times *from 01/00
                                                          Sunday Times (Scot)
                                                          Daily Mail (Scot)
… or your category names get in the way of the chart

Door Drops Region National                Saga Magazine               Sunday Times    Radio Times *from
                                                             Guardian
           2%                                   1%                       (Scot)             01/00
                                                   Sunday     (B/bl)
                                                                           1%                 1%        Daily Mail (Scot)
                                                 Express (T)   1%
                                                                                                               1%
                                                     1%
                              Mail On Sunday (T)
                                     2%
                                Daily Express (T)
                                       3%
               Sunday Telegraph (B)
                       3%
                             Times (B/t)
                                3%

                     Sunday Times (B)
                           4%



                                       Daily Mail (T)
                                            6%
                                                                                     Dirmail Region National
                                                                                               59%

                                           Daily Telegraph (B)
                                                   12%
When you need colour to tell segments apart, you
                       can‟t do something more useful with it




Door Drops
                             Direct Mail        Press




                                           Direct Mail



   TV

                                           Door Drops

                     Press




                                                   TV
A financial services dashboard

How much profit did we make last week?
Excel makes life difficult


If you want to present data clearly and effectively, Excel
and PowerPoint aren‟t very helpful.

Excel improved with 2007, but it still encourages you to
draw bad charts and the default formatting is OK at best

In Excel 2003, the default chart formatting is appalling

We need to resist the temptation to use some of Excel‟s
more „exotic‟ charts.
Useful charts in the Excel gallery



    


 







How to use templates to get a good starting point
                                             every time


•   Use the Insert menu to draw a simple chart in Excel – a bar
    chart showing just one short data series is a good start

     – Excel will insert the chart onto your worksheet, because it likes to
       be unhelpful


•   Right click the chart and choose „Move Chart‟. Then select „New
    Sheet‟ and click OK

     – Excel will move the chart off the worksheet and into its own sheet


•   Now format it so it looks as you want. You‟re going to get this
    chart as a starting point every time from now on, so keep it
    clean and simple
How to use templates to get a good starting point, every time
                        (Excel 2003 does this bit a different way. Try here.)


•    Once the chart looks ok, you can save it as a template

•    In Excel 2007 onwards, make sure your chart is selected and
     then click „Save as Template‟ from the Design menu

•    Give the chart a name and save it

•    Now right click your chart again and choose „Change chart
     type‟

•    Click Templates in the top left of the pop-up box and select
     the one you saved, then click „Set as default chart‟ at the
     bottom and „OK‟

•    Now go to any worksheet you like and highlight some data

•    And press F11
A few simple rules to follow

•   Never, ever use 3D

•   Remove everything from the chart that is doesn‟t need.
    Axes, borders, colours, gridlines, clip art…

     – But remember that it should still make sense as a stand-
       alone slide.

•   Use pie charts sparingly – they‟re rarely the best solution

•   Sorting data is a big help to the viewer

•   Labels are often better than colours

•   Colour is a valuable tool; many-coloured charts are hard to read

•   Stay away from everything in the Excel gallery except the
    simplest charts
Principles that work for any slide, whether there‟s a
                                      chart on it or not


• What‟s the summary?

• What‟s the story?

• What can I remove?

• What needs explanation?

• What action needs to happen?
About the author

Neil Charles is Head of Econometrics at
Mediacom Leeds and has worked in marketing
as an economist and statistician for the past
twelve years, across a wide range of
businesses.

Econometricians use mathematical models to measure the
effectiveness of advertising and to improve the return on
investment of marketing budgets.

At Mediacom, we use complex mathematical models to
produce simple, straightforward insights into how hard
marketing budgets are working and to show how those
budgets can be used more effectively.

Introduction to econometrics

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Effective data visualisation for marketers

  • 1. Effective data visualisation for marketers www.wallpaperingfog.co.uk
  • 2. A quick guide to data visualisation for marketers… communicating data effectively with charts Charts can be a great help to putting across your argument, or they can make life difficult and frustrating for your audience Effective charts aren‟t necessarily pretty charts; they‟re functional - there‟s a huge difference between „pretty‟ and „elegant‟ If you only want a chart to act as a picture on a slide and people aren‟t actually supposed to try to read the data, then making an effective chart matters less. But why would you put a chart on a PowerPoint slide that people aren‟t supposed to read? They‟ll try anyway.
  • 3. Why are you drawing a chart? It‟s an obvious question, but an important one. You‟re trying to communicate a point and you use a chart because the chart makes it easier and faster for your audience to understand, than just writing down numbers. Or it should be easier and faster to understand than just writing down numbers, which leads to our first point. Is a chart the best way to communicate your data?
  • 4. Internet share of spend in 2010 was 24% Cinema 1% Direct Mail Door Drops 12% 1% TV 29% Internet 24% Radio 4% Outdoor Press 5% 24%
  • 5. Internet share of spend in 2010 was 24% 2010 Share of Spend TV 29% Internet 24% Press 24% Direct Mail 12% Outdoor 5% Radio 4% Cinema 1% Door Drops 1%
  • 6. Internet share of spend in 2010 24%
  • 7. Edward Tufte introduced the „Data-Ink Ratio‟ in 1983, when drawing a chart took a lot longer than it does now He wasn‟t trying to save time – he was trying to draw effective charts The data-ink ratio is the amount of ink you‟ve used to illustrate the data, set against the total amount of ink used to draw the chart Ideally, every bit of ink used to draw a chart should be necessary to making that chart work.
  • 8. Napoleon‟s March (Because there was no such thing as Excel in 19th Century France)
  • 9. Anything on your chart that isn‟t communicating data, makes it harder to understand “Chart Junk” that is unhelpful includes • Gridlines • 3D • Borders • Shading • Clip art • Different colours that don‟t change for a reason • Prominent axes and titles
  • 10. This is pretty, but it‟s a terrible chart How much more was spent on TV than Door Drops? Direct Mail Door Drops Internet Outdoor Press Radio TV Spend (£) 60,000,000.00 50,000,000.00 40,000,000.00 30,000,000.00 20,000,000.00 10,000,000.00 0.00
  • 11. 3D is always a bad thing Direct Mail Door Drops Internet Outdoor Press Radio TV Spend (£) 60,000,000.00 50,000,000.00 40,000,000.00 30,000,000.00 20,000,000.00 10,000,000.00 0.00
  • 12. Axes, borders and gridlines distract from the data Direct Mail Door Drops Internet Outdoor Press Radio TV Spend (£) 60,000,000.00 50,000,000.00 40,000,000.00 30,000,000.00 20,000,000.00 10,000,000.00 0.00
  • 13. The colour isn‟t helpful; labels are better Spend (£) 60,000,000.00 50,000,000.00 40,000,000.00 30,000,000.00 20,000,000.00 10,000,000.00 0.00 Direct Mail Door Drops Internet Outdoor Press Radio TV
  • 14. We don‟t actually need the vertical axis and gridlines at all £50,245,646 £38,560,717 £4,199,331 £1,702,692 £572,992 £110,100 £288,433 Direct Mail Door Drops Internet Outdoor Press Radio TV
  • 15. Sorting the data is a huge help for your audience £50,245,646 £38,560,717 £4,199,331 £1,702,692 £572,992 £288,433 £110,100 Direct Mail Press TV Door Drops Internet Radio Outdoor
  • 16. We learned at school that bar charts go upwards, but horizontal bars are often easier to read Direct Mail £50,245,646 Press £38,560,717 TV £4,199,331 Door Drops £1,702,692 Internet £572,992 Radio £288,433 Outdoor £110,100
  • 17. One‟s pretty, the other communicates a point! Direct Mail Door Drops Internet Outdoor Press Radio TV Direct Mail £50,245,646 60,000,000.00 Spend (£) Press £38,560,717 50,000,000.00 40,000,000.00 TV £4,199,331 30,000,000.00 Door Drops £1,702,692 20,000,000.00 Internet £572,992 10,000,000.00 0.00 Radio £288,433 Outdoor £110,100
  • 18. Going to extremes The people we work with in marketing don‟t often have maths and statistics backgrounds and you can take simplification too far A splash of colour that stops a slide looking like a maths text-book is definitely a good thing! Very often though, simpler visuals are easier for people who don‟t like charts. You don‟t need to know how a dual axis line chart works – you just read the data label next to the point that you‟re interested in.
  • 19. Our brains are much faster at pre-attentive processing When you find yourself actually reading a chart to try to understand what it says, that‟s attentive processing Attentive processing happens in the conscious mind and it‟s slow If you can almost instantly read the data, that‟s pre- attentive processing and it‟s very, very fast
  • 20. How many number 5s are there?
  • 22. We can make good use of pre-attentive processing If we‟re presenting data, then it should have a point If it doesn‟t have a point, then you‟re going to struggle to draw an effective chart! What do you want your audience to see? Highlight the conclusion
  • 23. Features you can change that the brain will process unconsciously (and fast)
  • 24. Brand A share of voice has fallen in 2011 45.57% 34.98% 32.90% 18.37% 13.26% 10.99% 10.06% 10.00% 9.32% 7.73% 8.07% 7.41% 7.34% 6.66% 6.45% 6.70% 6.56% 6.43% 5.37% 5.49% 5.53% 5.50% 4.81% 4.05% 4.55% 5.07% 3.59% 2.25% 2.37% 2.61% 2009 2010 2011 2009 2010 2011 2009 2010 2011 2009 2010 2011 2009 2010 2011 2009 2010 2011 2009 2010 2011 2009 2010 2011 2009 2010 2011 2009 2010 2011 Brand A Brand B Brand C Brand D Brand E Brand F Brand G Brand H Brand I Brand J
  • 25. Brand A share of voice has fallen in 2011 45.57% 34.98% 32.90% 18.37% 13.26% 10.99% 10.06% 10.00% 9.32% 7.73% 8.07% 7.41% 7.34% 6.66% 6.45% 6.70% 6.56% 6.43% 5.37% 5.49% 5.53% 5.50% 4.81% 4.05% 4.55%5.07% 3.59% 2.25% 2.37% 2.61% 2009 2010 2011 2009 2010 2011 2009 2010 2011 2009 2010 2011 2009 2010 2011 2009 2010 2011 2009 2010 2011 2009 2010 2011 2009 2010 2011 2009 2010 2011 Brand A Brand B Brand C Brand D Brand E Brand F Brand G Brand H Brand I Brand J
  • 26. The seven items rule Our short-term memory can‟t hold more than seven things at once. Given more than seven things to look at, you‟re forced to think actively about what you‟re doing If you put more than seven series on a chart, or segments in a pie chart, you‟ll force people to think about the chart, rather than about the point you‟re making More than seven lines on a chart is too many More than seven segments in a pie chart is too many Even better, use five as a limit wherever possible
  • 27. Pie charts are rarely the best chart to use Data visualisation professionals (yes, it‟s a job) really hate pie charts. They‟re not always a bad idea, but they do have problems • Pie charts divide up the area of a circle and people really aren‟t good at visually judging differences in area • It‟s difficult to illustrate more than four or five categories with a pie • Pie charts take away your ability to make use of colour, because each slice has to be a different shade • There are plenty more here
  • 28. Which category is largest? Door Drops Direct Mail TV Press
  • 29. Which category is largest? Press Door Drops Direct Mail Direct Mail Door Drops TV Press TV
  • 30. Showing a lot of categories really doesn‟t work on a pie chart… Daily Telegraph (B) Daily Mail (T) Sunday Times (B) Times (B/t) Sunday Telegraph (B) Daily Express (T) Mail On Sunday (T) Sunday Express (T) Saga Magazine Guardian (B/bl) Radio Times *from 01/00 Sunday Times (Scot) Daily Mail (Scot) Daily Exp (Scot) (T) Observer (B/bl) Reader's Digest Independent (B/t) National Trust Magazine*from 03/95 Daily Mirror (T) Garden The *from 01/93 M&s Magazine *from 01/00 Sunday Mirror (T) Yours
  • 31. …But it‟s not because there was too much data Daily Telegraph (B) Daily Mail (T) Sunday Times (B) Times (B/t) Sunday Telegraph (B) Daily Express (T) Mail On Sunday (T) Sunday Express (T) Saga Magazine Guardian (B/bl) Radio Times *from 01/00 Sunday Times (Scot) Daily Mail (Scot) Daily Exp (Scot) (T) Observer (B/bl) Reader's Digest Independent (B/t) National Trust… Daily Mirror (T) Garden The *from 01/93 M&s Magazine *from 01/00 Sunday Mirror (T) Yours
  • 32. Either it‟s difficult to use the legend to work out which segment is which… 1% 1% 1% 1% 1% 1% Dirmail Region National 2% 2% Daily Telegraph (B) 3% Daily Mail (T) 3% Sunday Times (B) 3% Times (B/t) 4% Sunday Telegraph (B) Daily Express (T) 6% Mail On Sunday (T) Door Drops Region National 59% Sunday Express (T) Saga Magazine 12% Guardian (B/bl) Radio Times *from 01/00 Sunday Times (Scot) Daily Mail (Scot)
  • 33. … or your category names get in the way of the chart Door Drops Region National Saga Magazine Sunday Times Radio Times *from Guardian 2% 1% (Scot) 01/00 Sunday (B/bl) 1% 1% Daily Mail (Scot) Express (T) 1% 1% 1% Mail On Sunday (T) 2% Daily Express (T) 3% Sunday Telegraph (B) 3% Times (B/t) 3% Sunday Times (B) 4% Daily Mail (T) 6% Dirmail Region National 59% Daily Telegraph (B) 12%
  • 34. When you need colour to tell segments apart, you can‟t do something more useful with it Door Drops Direct Mail Press Direct Mail TV Door Drops Press TV
  • 35. A financial services dashboard How much profit did we make last week?
  • 36. Excel makes life difficult If you want to present data clearly and effectively, Excel and PowerPoint aren‟t very helpful. Excel improved with 2007, but it still encourages you to draw bad charts and the default formatting is OK at best In Excel 2003, the default chart formatting is appalling We need to resist the temptation to use some of Excel‟s more „exotic‟ charts.
  • 37. Useful charts in the Excel gallery          
  • 38. How to use templates to get a good starting point every time • Use the Insert menu to draw a simple chart in Excel – a bar chart showing just one short data series is a good start – Excel will insert the chart onto your worksheet, because it likes to be unhelpful • Right click the chart and choose „Move Chart‟. Then select „New Sheet‟ and click OK – Excel will move the chart off the worksheet and into its own sheet • Now format it so it looks as you want. You‟re going to get this chart as a starting point every time from now on, so keep it clean and simple
  • 39. How to use templates to get a good starting point, every time (Excel 2003 does this bit a different way. Try here.) • Once the chart looks ok, you can save it as a template • In Excel 2007 onwards, make sure your chart is selected and then click „Save as Template‟ from the Design menu • Give the chart a name and save it • Now right click your chart again and choose „Change chart type‟ • Click Templates in the top left of the pop-up box and select the one you saved, then click „Set as default chart‟ at the bottom and „OK‟ • Now go to any worksheet you like and highlight some data • And press F11
  • 40. A few simple rules to follow • Never, ever use 3D • Remove everything from the chart that is doesn‟t need. Axes, borders, colours, gridlines, clip art… – But remember that it should still make sense as a stand- alone slide. • Use pie charts sparingly – they‟re rarely the best solution • Sorting data is a big help to the viewer • Labels are often better than colours • Colour is a valuable tool; many-coloured charts are hard to read • Stay away from everything in the Excel gallery except the simplest charts
  • 41. Principles that work for any slide, whether there‟s a chart on it or not • What‟s the summary? • What‟s the story? • What can I remove? • What needs explanation? • What action needs to happen?
  • 42. About the author Neil Charles is Head of Econometrics at Mediacom Leeds and has worked in marketing as an economist and statistician for the past twelve years, across a wide range of businesses. Econometricians use mathematical models to measure the effectiveness of advertising and to improve the return on investment of marketing budgets. At Mediacom, we use complex mathematical models to produce simple, straightforward insights into how hard marketing budgets are working and to show how those budgets can be used more effectively. Introduction to econometrics