Make your charts look amazing

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There's nothing worse to read and analyse than poorly made charts. You know the ones I mean: axes with diagonal text, multi-coloured bar charts where you need to spend 20 minutes just working out which colour is which bar, and my personal favourite, pie charts, where the formatting makes you think one segment is larger than another when in fact they are the same size. To help, I thought I would put together some basic charts all preformatted, though you can of course change it as you wish! Enjoy. Feel free to read my full blog post on this here: http://alesandrab.wordpress.com/2013/02/26/make-your-charts-look-amazing/ Alesandra Blakeston.

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Line ChartExplanation of the data here

Text 1 Text 2 Text 3 Text 4 Text 5 Text 6 Text 7 Text 80

10

20

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60

70

Column ChartExplanation of the data here

Text 1 Text 2 Text 3 Text 4 Text 5 Text 6 Text 7 Text 80

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20

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60

70

4550

40

65

4550

40

65

3D Column ChartExplanation of the data here

Text 1 Text 2 Text 3 Text 4 Text 5 Text 6 Text 7 Text 8

45 50

40

65

45 5040

65

Bar ChartExplanation of the data here

Description 1

Description 2

Description 3

Description 4

Description 5

Description 6

Description 7

Description 8

Description 9

Description 10

Description 11

Description 12

45

50

40

65

45

50

40

65

45

50

40

65

Bubble ChartExplanation of the data here

0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 50

1

2

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5Y-Values

Star ChartExplanation of the data here

0 1 2 3 4 5 60

1

2

3

4

5

6Data AData B

HistogramExplanation of the data here

200 250 300 350 400 450 500 550 600 650 700 750 800 850 9000

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24

8

11

14

22

29

34

29

22

14

11

8

42

Conditional Line Charts = above target = below target

1 2 3 4 5 6 7 8 9 10 11 1240

42

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52

54

56

Data 1 Data 2 Data 3 Data 4 Data 50

100

200

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0%

20%

40%

60%

80%

100%

220190

6030 20

Pareto ChartExplanation of the data here

Multiple Area and Line Charts Explanation of the data here

2008 2009 2010 20110

2

4

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BB B

B

A

AA A

2008 2009 2010 20110

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4

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B BB

B

A

AA A

2008 2009 2010 20110

2

4

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B BB

B

A

AA A

Data 1 Data 2 Data 3

For example, regardless of the data set, A is always greater than B

Arrow graphExplanation of the data here

data 1 data 2 data 3 data 4 data 50.00

0.20

0.40

0.60

0.80

1.00

1.20

0.50

1.00

0.70

0.95

0.80

Combination Stacked Bar ChartExplanation of the data here

1 2 3 40

100

200

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400

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800

900

402

198

307

206

453

252

325

214400

125

325

125

400

125

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150

2012 Target2012 Hours2011 Target2011 Hours

Waterfall graphExplanation of the data here

Old A B C D E F G New

-500

0

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1500

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2500

Old A B C D EF

G New

Broken columnExplanation of the data here

A B C D E F0

1020

25 Continue

Box Plot / Whisker PlotExplanation of the data here

A B C D E F G H I J0

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60

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80

Box Plot / Whisker Plot v2Explanation of the data here

Row 1 Row 2 Row 3 Row 4 Row 5 Row 6-60

-40

-20

0

20

40

60

80

100

-15

-2

-37

-5

-18

12

45

31.5 33.5 30

58

27.5

87

64

86

71

87

56

Multiple Bubble ChartExplanation of the data here

Aug 11 Sep 11 Oct 11 Nov 11 Dec 11 Jan 12 Feb 12 Mar 12 Apr 12 May 12 Jun 12 Jul 12 Aug 12 Sep 12

Data 1 Data 2 Data 3 Data 4 Data 5

Thermometer & GaugesExplanation of the data here

0

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100

0

20

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80

100

IncreaseMercury

80

Target

Last year

Actual

Bullet tableYear to date report

YTD ReportTarget

YTD 2012 2013 Poor OK YTD 2012 Target Poor OK

Data 1 1100 1000 1200 600 900 18 17 20 10 15 ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ┼ ─

Data 2 2182 711 3200 500 2700 14 4 20 3 17 ─ ─ ─ ┼ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─

Data 3 172 171 400 250 350 9 9 20 13 18 ─ ─ ─ ─ ─ ─ ─ ─ ┼

Data 4 13 59 100 75 90 3 12 20 15 18 ─ ─ ─ │

Data 5 840 309 1800 1200 1500 9 3 20 13 17 ─ ─ ┼ ─ ─ ─ ─ ─ ─

Data 6 2876 1950 10000 4000 6000 6 4 20 8 12 ─ ─ ─ ┼ ─ ─

Data 7 8 0 30 20 25 5 0 20 13 17 ─ ─ ─ ─ ─

Data 8 504 1418 2375 1800 2200 4 12 20 15 19 ─ ─ ─ ─ │

Ranges Normalised

Bullet Graph

Dot tableHow to create a dot table using the REPT function

Data Dot ChartData 1 2 lData 2 4 lData 3 5 lData 4 2 lData 5 6 lData 6 12 lData 7 11 lData 8 4 lData 9 7 lData 10 10 lData 11 9 lData 12 7 l

Data driven Graphs & Charts

Alesandra Blakeston

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