Embed Size (px)
DESCRIPTION
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.
Citation preview
Line ChartExplanation of the data here
Text 1 Text 2 Text 3 Text 4 Text 5 Text 6 Text 7 Text 80
10
20
30
40
50
60
70
Column ChartExplanation of the data here
Text 1 Text 2 Text 3 Text 4 Text 5 Text 6 Text 7 Text 80
10
20
30
40
50
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
3
4
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
10
20
30
40
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
44
46
48
50
52
54
56
Data 1 Data 2 Data 3 Data 4 Data 50
100
200
300
400
500
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
6
8
10
12
14
16
18
BB B
B
A
AA A
2008 2009 2010 20110
2
4
6
8
10
12
14
16
18
B BB
B
A
AA A
2008 2009 2010 20110
2
4
6
8
10
12
14
16
18
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
300
400
500
600
700
800
900
402
198
307
206
453
252
325
214400
125
325
125
400
125
300
150
2012 Target2012 Hours2011 Target2011 Hours
Waterfall graphExplanation of the data here
Old A B C D E F G New
-500
0
500
1000
1500
2000
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
10
20
30
40
50
60
70
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
20
40
60
80
100
0
20
40
60
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
