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.
9. Pareto Chart
Explanation of the data here
500 100%
400 80%
300 60%
200 220 40%
190
100 20%
60
0
30 20 0%
Data 1 Data 2 Data 3 Data 4 Data 5
10. Multiple Area and Line Charts
Explanation of the data here
18 Data 1 Data 2 Data 3
16 A
14 A A
12
10
8
6
4 B B
2 B
0
For example, regardless of the data set, A is always greater than B
11. Arrow graph
Explanation of the data here
1.20
1.00
1.00 0.95
0.80
0.80
0.70
0.60
0.50
0.40
0.20
0.00
data 1 data 2 data 3 data 4 data 5
12. Combination Stacked Bar Chart
Explanation of the data here
900
2012 Target
800 453
400 2012 Hours
700 2011 Target
600 2011 Hours
325 300
500
400 252
402 400 214
300 325
307
200 125 150
198 206
100 125 125
0
Data 1 Data 2 Data 3 Data 4
13. Waterfall graph
Explanation of the data here
2500
2000
1500
1000
500
100
2000 1500 500 -100 -400 -100 338 338
0
Old A B C D E F G New
-500
17. Multiple Bubble Chart
Explanation of the data here
Data 1 Data 2 Data 3 Data 4 Data 5
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
18. Thermometer & Gauges
Explanation of the data here
100 100
80
80 80
Target 60 60
Last year
40 40
Actual
20 20
Increase
0 0 Mercury
19. Bullet table
Year to date report
YTD Report
Target Ranges Normalised
YTD 2012 2013 Poor OK YTD 2012 Target Poor OK Bullet Graph
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 ──── │
20. Dot table
How to create a dot table using the REPT function
Data Dot Chart
Data 1 2 l
Data 2 4 l
Data 3 5 l
Data 4 2 l
Data 5 6 l
Data 6 12 l
Data 7 11 l
Data 8 4 l
Data 9 7 l
Data 10 10 l
Data 11 9 l
Data 12 7 l