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# 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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### Make your charts look amazing

1. 1. Line ChartExplanation of the data here70605040302010 0 Text 1 Text 2 Text 3 Text 4 Text 5 Text 6 Text 7 Text 8
2. 2. Column ChartExplanation of the data here7060 65 6550 50 5040 45 45 40 40302010 0 Text 1 Text 2 Text 3 Text 4 Text 5 Text 6 Text 7 Text 8
3. 3. 3D Column ChartExplanation of the data here 65 45 50 40 65 45 50 40
4. 4. Bar ChartExplanation of the data here Description 1 45 Description 2 50 Description 3 40 Description 4 65 Description 5 45 Description 6 50 Description 7 40 Description 8 65 Description 9 45Description 10 50Description 11 40Description 12 65
5. 5. Bubble ChartExplanation of the data here 5 Y-Values 4 3 2 1 0 0 1 2 3 4 5 6
6. 6. Star ChartExplanation of the data here 6 Data A 5 Data B 4 3 2 1 0 0 1 2 3 4 5 6
7. 7. HistogramExplanation of the data here40 3430 29 2920 22 22 14 1410 11 11 8 8 4 4 0 2 2 200 250 300 350 400 450 500 550 600 650 700 750 800 850 900
8. 8. Conditional Line Charts = above target = below target565452504846444240 1 2 3 4 5 6 7 8 9 10 11 12
9. 9. Pareto ChartExplanation of the data here500 100%400 80%300 60%200 220 40% 190100 20% 60 0 30 20 0% Data 1 Data 2 Data 3 Data 4 Data 5
10. 10. Multiple Area and Line ChartsExplanation 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. 11. Arrow graphExplanation 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. 12. Combination Stacked Bar ChartExplanation 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. 13. Waterfall graphExplanation 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
14. 14. Broken columnExplanation of the data here 25 Label Name 20 10 0 A B C D E F
15. 15. Box Plot / Whisker PlotExplanation of the data here8070605040302010 0 A B C D E F G H I J
16. 16. Box Plot / Whisker Plot v2Explanation of the data here100 87 86 8780 7160 64 58 56 4540 31.5 33.5 30 27.520 12 0 -2 -5 -15 -18-20-40 -37-60 Row 1 Row 2 Row 3 Row 4 Row 5 Row 6
17. 17. Multiple Bubble ChartExplanation 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. 18. Thermometer & GaugesExplanation of the data here 100 100 80 80 80 Target 60 60 Last year 40 40 Actual 20 20 Increase 0 0 Mercury
19. 19. Bullet tableYear to date reportYTD Report Target Ranges Normalised YTD 2012 2013 Poor OK YTD 2012 Target Poor OK Bullet GraphData 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. 20. Dot tableHow 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
21. 21. Data drivenGraphs & Charts Alesandra Blakeston