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The following sheets all demonstrate the charting possibilities of Excel if a bit of careful formatting and data layout is used.



Some graphs rely on additional data to be calculated from the soure data for the correcting layout to be achieved.

These calculations are highlighted in yellow on the sheets.



Each sheet contains some information explaining the technique used to achieve the results.





1 Climate Chart Plots a temperature range and a rainfall range on a chart for each month.

2 Average Displays an 'average' line on a bar chart.

3 Stacked Bar Draws multiple bar charts onto a single chart to allow direct comparison.

4 Stacked Line Draws multiple line charts onto a single chart to allow direct comparison.

5 Scroll For very long data series, allows the user to scroll through the data.

6 Grading Changes the colours of portions of the bars to show targets or grades which have been reeched.

7 Pyramid Draws a population pyramid.

8 Volatility Displays the daily rate of change of the price of a product expressed as a percentage, as well as the actual price.

9 Map Allows values to be plotted onto a map at different locations.

10 Gantt Chart 1 Draws a Gantt chart with the bars for different phases of the project in different colours.

11 Gantt Chart 2 Draws a Gantt chart with the bars in different colours to represent the person responsible for each activity.

12 Histogram Plots a Histogram after calculating the distribution of a set of values.

13 3 Types Draws an area, bar, and line all on the same graph. Shows the correlation of river flow to rainfall and temperature.

14 Negative Colours Bars below the x-axis are a different colour from those above the axis.

15 Overlap With two data series representing consumption and production, and the area is highlighted where there is a deficit.

16 Stock A complex stock chart with six data series - open, close, hi, lo, volume, and market index.

matting and data layout is used.



g layout to be achieved.









e, as well as the actual price.







nsible for each activity.



ow to rainfall and temperature.



hlighted where there is a deficit.

Temperature Rainfall

Min Max Min Max

Climate Chart Rainfall and Temperature Ranges

140

M

Min Temp. ax Temp. Rainfall Range

Jan 5 6 30 45 120

Feb 6 8 37 75

Mar 8 12 45 80 100



Apr 11 16 35 55









Rainfall mm

80

May 15 20 30 45

Jun 19 26 20 35

60

Jul 21 27 0 15

Aug 20 25 0 20 40

Sep 14 20 15 30

Oct 11 15 25 50 20



Nov 8 10 30 60

Dec 6 7 35 53 0

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov





Titles appear in a hidden row so the titles

on the graph can be different from those

on the data grid.

mperature Ranges

30







25







20

Temperature C









Rainfall Range



15 Min Temp.



Max Temp.

10







5







0

Nov Dec

Sales Average

David 19 38.33

Alice 47 38.33 100

Sarah 34 38.33 90

James 63 38.33 80

Martin 14 38.33 70

Jenny 53 38.33 60

Sales

50

Average

40

Average is calculated and 30

created as a dummy second 20

series with the same value for all

entries. 10

0

David Alice Sarah James Martin Jenny

Sales

Average

Profit Sales Costs MAX Profit dummy1 Sales dummy2 Costs

13 5 7 25 13 12 5 20 7

15 7 8 15 10 7 18 8

16 8 10 16 9 8 17 10

16 9 11 16 9 9 16 11

15 11 13 15 10 11 14 13

12 11 17 12 13 11 14 17

9 12 18 9 16 12 13 18 The actual values to display remain

10 14 19 10 15 14 11 19 unchanged. Only need to calculate the

12 16 17 12 13 16 9 17 'dummy' values to appear between

15 19 18 15 10 19 6 18 each of the real data series.

19 22 21 19 6 22 3 21

20 23 22 20 5 23 2 22









Costs

Sales

Profit









1 2 3 4 5 6 7 8 9 10 11 12

al values to display remain

ed. Only need to calculate the

values to appear between

he real data series.

0 1 2

Profit Sales Costs MAX Profit Sales Costs

13 5 13 25 13 30 63

13 7 11 13 32 61

16 8 8 16 33 58

18 9 11 18 34 61

15 11 13 15 36 63

12 11 17 12 36 67

9 12 18 9 37 68

10 17 19 10 42 69 The actual values to display are

12 16 17 12 41 67 increased depending on where they

18 19 18 18 44 68 are to appear, i.e the bottom lin ehas

no increase. The middle line increases

19 22 21 19 47 71

by 25 which is the seperating value,

20 23 22 20 48 72 and the top line is increased by 50

18 20 19 18 45 69 (25*2).

17 17 16 17 42 66

17 13 14 17 38 64









Profit

Sales

Costs









1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

Date Units Start 6

7/1/2006 34

7/2/2006 37 Date Units

7/3/2006 39 0 7/6/2006 52

7/4/2006 40 1 7/7/2006 55

7/5/2006 43 2 7/8/2006 54

7/6/2006 52 3 7/9/2006 49 Unit Sales

7/7/2006 55 4 7/10/2006 41

7/8/2006 54 5 7/11/2006 32 80

7/9/2006 49 6 7/12/2006 24 70

7/10/2006 41 7 7/13/2006 19

7/11/2006 32 8 7/14/2006 17 60

7/12/2006 24 9 7/15/2006 16 50

7/13/2006 19 10 7/16/2006 18

7/14/2006 17 11 7/17/2006 21 40

7/15/2006 16 12 7/18/2006 25 30

7/16/2006 18

20

7/17/2006 21

7/18/2006 25 This is the data to be graphed, 10

7/19/2006 29 and is retrieved from the main

data grid to the left, with an 0

7/20/2006 33









06 Jul







08 Jul



09 Jul



10 Jul







12 Jul



13 Jul



14 Jul

07 Jul









11 Jul

offest based on the value of the

7/21/2006 35 scrollbar.

7/22/2006 35

7/23/2006 36

7/24/2006 38

7/25/2006 41

7/26/2006 45

7/27/2006 53

7/28/2006 59

7/29/2006 63

7/30/2006 57

7/31/2006 43

14 Jul



15 Jul



16 Jul



17 Jul



18 Jul

Top Grade 50

Bottom Grade 25 The actual values to be graphed are split into 3

series from the single piece of data, and then

MIDDLE TOP

BOTTOM graphed as a stacked bar chart.

Dave 23 Dave 23 0 0

John 47 John 25 22 0

Sarah 34 Sarah 25 9 0

Alice 63 Alice 25 25 13

Martin 14 Martin 14 0 0

Jenny 53 Jenny 25 25 3









70



60



50



TOP

40

MIDDLE

30

BOTTOM



20



10



0

Dave John Sarah Alice Martin Jenny

Population

Percentage

Population Pyramid

Male Female Male Female

90+ 0 1 90+ 0 1

80-89 1 1 80-89 -1 1 90+

70-79 2 2 70-79 -2 2

80-89

Age Bands









60-69 3 4 60-69 -3 4

50-59 5 5 50-59 -5 5 70-79

40-49 4 5 40-49 -4 5

30-39 4 7 30-39 -4 7 60-69

20-29 8 8 20-29 -8 8

50-59

10-19 9 10 10-19 -9 10

0-9 11 10 0-9 -11 10 40-49

Total 47 53

30-39



20-29



10-19



The Male data is converted into a 0-9

negative figure.

-15 -5 5

Both series are then drawn on a

stacked bar chart where the vertical

axis has been moved to the centre by

specifying the max and min values of

the x axis.

lation Pyramid









Male

Female









15

Date Price Change Rise Fall

7/1/2006 473 0.00 0.00 0.00

7/2/2006 467 -1.27 0.00 1.27

7/3/2006 430 -7.92 0.00 7.92 Price and Daily Change

7/4/2006 442 2.79 2.79 0.00

7/5/2006 480 8.60 8.60 0.00 25.00

7/6/2006 484 0.83 0.83 0.00

7/7/2006 501 3.51 3.51 0.00

20.00

7/8/2006 497 -0.80 0.00 0.80

7/9/2006 403 -18.91 0.00 18.91









Percent Change

7/10/2006 390 -3.23 0.00 3.23 15.00

7/11/2006 388 -0.51 0.00 0.51

7/12/2006 359 -7.47 0.00 7.47

7/13/2006 324 -9.75 0.00 9.75 10.00

7/14/2006 390 20.37 20.37 0.00

7/15/2006 473 21.28 21.28 0.00

5.00

7/16/2006 398 -15.86 0.00 15.86

7/17/2006 430 8.04 8.04 0.00

7/18/2006 442 2.79 2.79 0.00 0.00









01 Jul





03 Jul





05 Jul





07 Jul





09 Jul





11 Jul





13 Jul





15 Jul

7/19/2006 480 8.60 8.60 0.00

7/20/2006 501 4.38 4.38 0.00

7/21/2006 501 0.00 0.00 0.00

7/22/2006 497 -0.80 0.00 0.80 Date

7/23/2006 403 -18.91 0.00 18.91

7/24/2006 390 -3.23 0.00 3.23

7/25/2006 388 -0.51 0.00 0.51 The 'Change' value is calculated from the current and previous days

7/26/2006 359 -7.47 0.00 7.47 values.

7/27/2006 324 -9.75 0.00 9.75

7/28/2006 390 20.37 20.37 0.00 This change is then converted into 2 data series (one for a rise and one

for a fall) so they can be plotted on the same chart but with different

7/29/2006 395 1.28 1.28 0.00

colours - by using a stacked bar chart.

7/30/2006 423 7.09 7.09 0.00

7/31/2006 437 3.31 3.31 0.00

Price and Daily Change

550





500





450









Price

400





350





300





250

17 Jul





19 Jul





21 Jul





23 Jul





25 Jul





27 Jul





29 Jul





31 Jul





Fall



Date Rise

Price





ated from the current and previous days





data series (one for a rise and one

ed on the same chart but with different

Population (millions)

Country x y Population

France 25 24 61

Germany 40 40 82

Russia 80 55 143

UK 14 43 60









The coordinates of the locations are UK

actually data values. Germany

Each location is a separate data

series so its name can appear on the

map. France

Russia

activity 0 1 2 3

Phase Activity Start Duration 1 2

PhasePhasePhase 3

The activity data is split into different

1 Proposal 1 3 Proposal 1 3 0 0 series (per phase) to allow it to be

1 Analysis 3 3 Analysis 3 3 0 0 plotted as a stacked bar with a

1 Design 4 5 Design 4 5 0 0 different colour for each phase.

1 Prototype 4 2 Prototype 4 2 0 0

2 Detailed Design 9 4 Detailed Design 9 0 4 0

2 Development 9 6 Development 9 0 6 0

2 Test 13 4 Test 13 0 4 0

3 User Training 17 5 User Training 17 0 0 5

3 Installation 17 2 Installation 17 0 0 2

3 Review 22 4 Review 22 0 0 4









0 5 10 15 20 25 30



Proposal



Analysis



Design



Prototype



Detailed Design

Phase 1

Development

Phase 2

Test



User Training



Installation



Review

The activity data is split into different

series (per phase) to allow it to be

plotted as a stacked bar with a

different colour for each phase.

Person Activity Start Duration Peter Allan John Sarah

Peter Proposal 1 3 Proposal 1 3 0 0 0

Allan Analysis 3 3 Analysis 3 0 3 0 0

Sarah Design 4 5 Design 4 0 0 0 5

John Prototype 4 2 Prototype 4 0 0 2 0

Peter Detailed Design 9 4 Detailed Design 9 4 0 0 0

Sarah Development 9 6 Development 9 0 0 0 6

Allan Test 13 4 Test 13 0 4 0 0

Sarah User Training 17 5 User Training 17 0 0 0 5

John Installation 17 2 Installation 17 0 0 2 0

Peter Review 22 4 Review 22 4 0 0 0









0 5 10 15 20 25 30



Proposal



Analysis



Design



Prototype



Detailed Design



Development



Test



User Training



Installation



Review

The activity data is split into different

series (per person) to allow it to be

plotted as a stacked bar with a

different colour for each person.









30









Peter

Allan

John

Values max min 0 Distribution

36 Distribution calculation is 0 9 5 0-9 5

30 performed using the COUNTIF 10 19 7 10 - 19 2

8 function to count the values in each 20 29 10 20 - 29 3

25 range. 30 39 18 30 - 39 8

15 40 49 23 40 - 49 5

69 50 59 25 50 - 59 2

38 60 69 28 60 - 69 3

35 70 79 29 70 - 79 1

38 80 89 31 80 - 89 2

11 90 99 34 90 - 99 3

42

84

48

98 9

32

63 8

20

7

51

7 6

41

30 5

2 4

92

90 3

63

2

21

38 1

52

9 0

0-9 10 - 19 20 - 29 30 - 39 40 - 49 50 - 59 60 - 69 70 - 79 80 - 89 90 - 99

80

43

9

73

44

Changing River Flow due to Temperature and R

Day Temperature Rainfall Flow Flow

20

1 15 0 3.08 30

2 17 16 4.11 MAX TEMP 40 18

3 18 0 4.62 19 45 16

4 16 0 3.08 30 14









Temperature C

5 14 7 2.57 MAX FLOW 25

12

6 14 23 5.14 185 50

7 12 25 7.70 75 10

8 13 37 10.78 105 8

9 15 35 12.84 125 6

10 16 28 15.92 155

4

11 16 14 19.00 185

12 18 12 18.49 180 2

13 19 0 13.86 135 0

14 18 15 12.84 125 1 2 3 4 5 6 7

Days





A third data series with a different numerical range

from the others can be plotted on the graph by

recalculating representative values that fit within the

range of those already being plotted.

Changing River Flow due to Temperature and Rainfall

40



35



30



25







Rainfall mm

Flow

20 Rainfall

15 Temperature

10



5



0

7 8 9 10 11 12 13 14

Days

Austria 5 6

Britain 2

France -1 4

Germany 3

2

Ireland 0

Negative values are given a different colour

Italy -5 0 option 'Invert if Negative' for the data series

Norway 1

Spain 3 -2



-4



-6









Germany







Italy



Norway

France







Ireland









Spain

Austria



Britain

egative values are given a different colour by selecting the

tion 'Invert if Negative' for the data series formatting.

Consumption Production ConsumptionDeficitProduction

16 30 16 0 14 0 Production, Consumption, and Deficit

18 28 18 0 10 0 35

17 24 17 0 7 0

18 22 18 0 4 0 30

19 19 19 0 0 0

25

18 14 14 4 0 0

17 12 12 5 0 0

20

16 12 12 4 0 0

16 13 13 3 0 0 15

14 14 14 0 0 0

13 18 13 0 5 0 10

14 21 14 0 7 0

16 22 16 0 6 0 5

17 21 17 0 4 0

17 20 17 0 3 0 0

18 18 18 0 0 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

19 15 15 4 0 0

19 14 14 5 0 0

17 14 14 3 0 0

15 15 15 0 0 0

11 17 11 0 6 0 Deficit is calculated and displayed in an additional data series.

9 19 9 0 10 0 Where there is no deficit, this series contains a 0

8 20 8 0 12 0 displayed.

7 21 7 0 14 0

7 23 7 0 16 0

8 25 8 0 17 0

10 26 10 0 16 0

Production, Consumption, and Deficit









Production

Deficit

Consumption









15 16 17 18 19 20 21 22 23 24 25 26 27









and displayed in an additional data series.

eficit, this series contains a 0 value so it is not

Open Hi Lo Close Index Volume Volume is recalculated to a representative

Open Hi/Lo Close

Market Index Volume Volume value whose values fall within in the range of

109 115 95 100 893 14,190 MAX VOL 300.9 those already to be displayed on the second

scale.

100 109 100 109 1,003 25,258 47300 535.6

109 109 88 89 904 26,015 551.7 This allows series with vastly different

89 98 56 62 673 37,840 802.4 numerical values to be displayed on the same

62 63 30 51 652 33,110 MAX INDEX 702.1 chart.

51 56 51 55 580 9,460 1003 200.6

55 55 31 34 591 47,300 1003.0

34 46 28 46 545 23,650 501.5

46 73 46 67 703 23,650 501.5

67 77 65 69 732 10,879 230.7

69 78 67 77 709 8,703 184.5

77 77 31 44 508 15,136 321.0

44 56 42 47 474 4,966 105.3 140

47 74 46 65 585 19,393 411.2

65 64 65 67 589 6,700 142.1 120

67 71 67 71 593 4,870 103.3

100

71 78 67 75 605 8,305 176.1

75 88 73 86 672 7,800 165.4

80

86 109 86 99 714 16,320 346.1

99 99 86 88 735 22,400 475.0 60

88 89 84 84 718 2,100 44.5

84 91 82 89 721 4,608 97.7 40

89 89 73 77 696 13,220 280.3

77 79 71 75 671 8,900 188.7 20

75 93 64 83 698 26,700 566.2

0

1 2 3 4 5 6 7 8 9 10 11 12 13

ulated to a representative

es fall within in the range of

be displayed on the second







to be displayed on the same









Stock Price

1200.0



1000.0



800.0 Volume

Hi/Lo

600.0

Market Index



400.0



200.0



0.0

13 14 15 16 17 18 19 20 21 22 23 24 25



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