Excel Pivot Table and Charts

Peter G.Aitken:

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http://amar80.blogfa.com [email protected]

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Sheet1

StoreRegionDateCustomersTotal SalesCampingFitnessSoccerBaseballFishingFootball

2134Northeast06-Jun-05207$ 6,581$ 326$ 1,284$ 970$ 1,270$ 1,488$ 1,243

2134Northeast07-Jun-05162$ 3,584$ 901$ 247$ 765$ 1,251$ 228$ 192

2134Northeast08-Jun-05188$ 4,713$ 837$ 1,260$ 959$ 765$ 179$ 713

2134Northeast09-Jun-05171$ 5,263$ 553$ 1,134$ 236$ 1,353$ 1,011$ 976

2134Northeast10-Jun-0564$ 4,731$ 775$ 294$ 1,480$ 160$ 864$ 1,158

2134Northeast11-Jun-05246$ 3,853$ 429$ 853$ 773$ 760$ 739$ 299

2134Northeast12-Jun-0563$ 6,077$ 1,075$ 1,418$ 659$ 1,445$ 1,340$ 140

2298Midwest06-Jun-0586$ 4,075$ 866$ 399$ 270$ 690$ 418$ 1,432

2298Midwest07-Jun-05234$ 3,933$ 1,056$ 266$ 781$ 131$ 1,376$ 323

2298Midwest08-Jun-05286$ 3,818$ 1,330$ 459$ 314$ 1,119$ 149$ 447

2298Midwest09-Jun-0599$ 4,923$ 456$ 426$ 368$ 1,045$ 1,453$ 1,175

2298Midwest10-Jun-0585$ 5,084$ 1,061$ 729$ 211$ 939$ 939$ 1,205

2298Midwest11-Jun-05218$ 3,517$ 1,191$ 341$ 123$ 1,293$ 300$ 269

2298Midwest12-Jun-05124$ 4,435$ 998$ 581$ 350$ 1,249$ 295$ 962

2166South06-Jun-05215$ 8,625$ 1,957$ 1,995$ 615$ 1,623$ 370$ 2,065

2166South07-Jun-05266$ 5,902$ 1,829$ 612$ 709$ 878$ 1,218$ 656

2166South08-Jun-0592$ 8,032$ 1,844$ 1,099$ 1,804$ 1,005$ 1,509$ 771

2166South09-Jun-05237$ 7,786$ 911$ 1,470$ 1,430$ 787$ 2,074$ 1,114

2166South10-Jun-0565$ 7,669$ 1,377$ 2,092$ 364$ 1,793$ 502$ 1,541

2166South11-Jun-05263$ 5,211$ 1,201$ 360$ 655$ 522$ 559$ 1,914

2166South12-Jun-05159$ 9,388$ 1,663$ 1,978$ 828$ 1,375$ 1,747$ 1,797

Sheet2

Sheet3

StatFile AttachmentSportingGoodsRawData.xls

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PivotTable and PivotChart : 2 .1

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Microsoft Office Excel list or database Select PivotTable .

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Sheet1

Popcorn Video Rentals

StoreCategoryTitles

Main StreetAction374

Main StreetDrama180

Main StreetChildrens63

Main StreetSci-Fi324

Main StreetClassics203

Main StreetComedy145

NorthgateAction45

NorthgateDrama287

NorthgateChildrens320

NorthgateSci-Fi36

NorthgateClassics79

NorthgateComedy225

ClarkvilleAction22

ClarkvilleDrama172

ClarkvilleChildrens203

ClarkvilleSci-Fi324

ClarkvilleClassics251

ClarkvilleComedy345

West EndAction310

West EndDrama369

West EndChildrens220

West EndSci-Fi236

West EndClassics145

West EndComedy296

Sheet2

Sheet3

StatFile AttachmentVideoStoreRawData.xls

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Drop Row Store .1Fields Here .

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Sheet1

Cleveland PlantAtlanta PlantNewark Plant

EmployeesEmployeesEmployees

Accounting4Accounting3Accounting11

Human Resources6Human Resources5Human Resources9

Sales12Sales9Sales16

Development7Development0Development22

Manufacturing45Manufacturing213Manufacturing135

Support8Support16Support10

Sheet2

Sheet3

StatFile AttachmentEmployeeData.xls

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Sheet1

Year 2002 Semester 1Year 2003 Semester 1

StudentsStudents

Chemistry21Chemistry32

Biology44Biology39

Geology94Geology83

Physics59Physics101

Ecology23Ecology82

Marine Biology70Marine Biology89

Year 2002 Semester 2Year 2003 Semester 2

StudentsStudents

Chemistry37Chemistry83

Biology101Biology74

Geology43Geology49

Physics96Physics86

Ecology28Ecology26

Marine Biology43Marine Biology25

Sheet2

Sheet3

StatFile AttachmentCourseData.xls

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Sheet1

ItemSizeColorQuantity

ShirtSmallWhite23

ShirtSmallBlue12

ShirtSmallRed43

ShirtMediumWhite54

ShirtMediumBlue6

ShirtMediumRed23

ShirtLargeWhite7

ShirtLargeBlue23

ShirtLargeRed9

JacketSmallWhite6

JacketSmallBlue11

JacketSmallRed15

JacketMediumWhite19

JacketMediumBlue29

JacketMediumRed34

JacketLargeWhite12

JacketLargeBlue41

JacketLargeRed79

PantsSmallWhite21

PantsSmallBlue42

PantsSmallRed56

PantsMediumWhite3

PantsMediumBlue41

PantsMediumRed18

PantsLargeWhite10

PantsLargeBlue1

PantsLargeRed2

Sheet2

Sheet3

StatFile AttachmentClothing Stock.xls

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GRAND TOTALS ) Grand total(

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Drop 79 26 Row Drop 80 27 82 28 Column Drop 84 29 85 30 Data Drop 88 31 88 32 Page Drop 90 33 91 34 95 35 95 36 97 37 100 38 103 39 AutoShow 107 Sort 40 109 41

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Sheet1

Subject #GenderAge GroupRegionPolitical AffiliationScore

1Male20-29NorthEastDem92

2Female40-49MidwestInd94

3Male30-39SouthDem84

4Male20-29NorthEastInd94

5Female50-59NorthEastRep95

6Female30-39SouthWestRep88

7Male40-49MidwestRep80



10Male20-29NorthWestRep81


12Female50-59NorthWestDem88


14Female60-69SouthRep96

15Female50-59SouthWestDem80



18Male40-49NorthWestInd83



21Male30-39MidwestDem87

22Male20-29NorthWestDem90


24Female30-39SouthInd98





29Male30-39SouthWestRep84



32Female20-29SouthDem83





37Female20-29MidwestRep97

38Male40-49NorthEastInd94


40Male30-39SouthRep91

41Male40-49MidwestInd83


43Male50-59MidwestInd94




47Female40-49NorthWestInd89




51Female20-29MidwestDem88









60Female60-69NorthEastDem99

61Male20-29SouthWestDem99





66Female30-39NorthWestRep84










76Female30-39SouthWestInd83




80Male40-49SouthInd81



































115Female40-49NorthEastDem81


117Male30-39SouthWestInd92



120Female50-59MidwestDem94

Sheet2

Sheet3

StatFile AttachmentTestScores.xls

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20-29 30-39 40-49 50-59 60-69

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.Store, Month, Item, Color, Size:

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Sheet1

StoreMonthItemColorSizeAmount

DowntownJan4RedLarge$ 1.67

NorthsideFeb4BlueSmall$ 12.90

East EndFeb1RedMedium$ 17.03

DowntownMar1GreenSmall$ 6.11

South PlazaJan4WhiteLarge$ 11.85

East EndFeb5BlueMedium$ 1.55


DowntownMar5WhiteLarge$ 13.37

NorthsideMar2RedLarge$ 16.02

South PlazaJan5RedMedium$ 5.31

DowntownFeb4BlueLarge$ 17.21

NorthsideFeb5RedMedium$ 14.75

East EndJan5GreenSmall$ 14.61

South PlazaJan1WhiteMedium$ 13.98

DowntownJan1BlueMedium$ 12.63

East EndMar2WhiteMedium$ 17.31

DowntownMar3WhiteSmall$ 6.29


NorthsideMar3RedSmall$ 5.46

South PlazaJan5BlueMedium$ 19.59

DowntownMar4RedLarge$ 2.96

NorthsideJan1GreenSmall$ 16.68

East EndFeb5WhiteMedium$ 18.71

DowntownMar4BlueSmall$ 2.83

South PlazaMar1GreenLarge$ 8.17

East EndJan2WhiteLarge$ 10.47


DowntownFeb2RedLarge$ 4.63

NorthsideMar3BlueMedium$ 8.27

South PlazaFeb1RedMedium$ 13.98


NorthsideFeb2WhiteMedium$ 6.06

East EndMar5BlueMedium$ 13.27

South PlazaJan3WhiteSmall$ 14.89

DowntownJan1WhiteLarge$ 12.94

East EndJan2RedSmall$ 12.32

DowntownMar1RedMedium$ 4.12

DowntownFeb2BlueSmall$ 7.64

NorthsideFeb1RedLarge$ 7.46

South PlazaMar3GreenMedium$ 2.62

DowntownJan4WhiteSmall$ 11.29

NorthsideFeb4BlueLarge$ 2.15

East EndFeb5GreenLarge$ 7.94

DowntownMar3WhiteMedium$ 14.23

South PlazaJan1RedLarge$ 10.45




NorthsideMar2GreenMedium$ 17.86



NorthsideFeb2WhiteLarge$ 8.43

East EndJan3WhiteSmall$ 2.09



East EndMar5BlueSmall$ 4.34


DowntownJan1GreenSmall$ 14.22

NorthsideMar5WhiteLarge$ 14.04

South PlazaJan5BlueLarge$ 7.53

DowntownMar1GreenMedium$ 19.20




South PlazaMar2BlueSmall$ 4.77

East EndJan1RedMedium$ 5.59

DowntownJan3GreenMedium$ 15.76

DowntownFeb5WhiteSmall$ 8.25





East EndMar3RedSmall$ 15.36


DowntownJan4BlueLarge$ 16.32


DowntownMar3GreenLarge$ 1.06

DowntownFeb2WhiteLarge$ 12.35

NorthsideFeb5BlueMedium$ 17.65



NorthsideFeb4BlueSmall$ 12.90






DowntownMar5WhiteLarge$ 13.37

NorthsideMar2RedLarge$ 16.02


DowntownFeb4BlueLarge$ 17.21


East EndJan5GreenSmall$ 14.61



East EndMar2WhiteMedium$ 17.31



NorthsideMar3RedSmall$ 5.46

South PlazaJan5BlueMedium$ 19.59

DowntownMar4RedLarge$ 2.96

NorthsideFeb1GreenSmall$ 16.68

East EndFeb5WhiteMedium$ 18.71



East EndJan2WhiteLarge$ 10.47


DowntownFeb2RedLarge$ 4.63




NorthsideFeb2WhiteMedium$ 6.06

East EndMar5BlueMedium$ 13.27

South PlazaJan3WhiteSmall$ 14.89

DowntownJan1WhiteLarge$ 12.94

East EndJan2RedSmall$ 12.32



NorthsideFeb1RedLarge$ 7.46

South PlazaMar3GreenMedium$ 2.62

DowntownJan4WhiteSmall$ 11.29

NorthsideFeb4BlueLarge$ 2.15

East EndFeb5GreenLarge$ 7.94

DowntownMar3WhiteMedium$ 14.23





NorthsideMar2GreenMedium$ 17.86




East EndJan3WhiteSmall$ 2.09



East EndMar5BlueSmall$ 4.34


DowntownJan1GreenSmall$ 14.22

NorthsideMar5WhiteLarge$ 14.04

South PlazaJan5BlueLarge$ 7.53

DowntownMar1GreenMedium$ 19.20




South PlazaMar2BlueSmall$ 4.77


DowntownJan3GreenMedium$ 15.76

DowntownFeb5WhiteSmall$ 8.25





East EndMar3RedSmall$ 15.36


DowntownJan4BlueLarge$ 16.32


DowntownMar3GreenLarge$ 1.06

DowntownFeb2WhiteLarge$ 12.35

NorthsideFeb5BlueMedium$ 17.65


Sheet2

Sheet3

StatFile AttachmentThreePageFields.xls

: 4 92

. : 16 . 4

. : 17 . 4

. Store .6 . Month .7 . Amount .8 . Item, Color, Size .9

93

4

Field Setting .10 . Field Setting

. Format Cells Number .11 . Currency Category .12 . OK .13

. 18,4

. . . All

. : 18 . 4

. 19,4 Size .

Large, Medium, Small -. All .

.

.Size : 19 . 4

:34

: 4 94

:

. OK . Red Color .1 . OK . 2 Item .2 . OK . Large Size .3

.

. : 20 . 4

:

Item Large Color 2 Red.

.Size Jan

. . Feb Northside Mar Downtown

.

.

. .

95

4

.

. .

: PivotTable Field

. Field Setting . Field Setting .

. / .

.

. 21,4 PivotTable Field

. PivotTable Field : 21 . 4

:

Source field

.

:35

: 4 96

Name . .

Hide . .

Number Format Cells .

Options 41 . .

Summarize by .

. Sum Summarize by

. . Sum :

Count .

Average - .

Max .

Min - .

Product .

Count nums .

Count Count Nums Count Count Nums Count

. Counts Nums .

97

4

.

TestScore2.xls . 22,4 Test Score . .

. : 22 . 4

:

(A2:C45): .1 . PivotTable and PivotChart Report Data .2 . .3 . Gender .4 . Data Score .5

: 37

Sheet1

Student #GenderScore

1Male81

2Male79

3Female86

4Male92

5Female87

6Female99

7Male70

8Male98

9Female85

10Male87

11Female71

12Female97

13Male98

14Male78

15Female72

16Male77

17Female97

18Female87

19Male74

20Male93

21Female78

22Male70

23Female83

24Female81

25Male70

26Male85

27Female71

28Male82

29Female70

30Female75

31Male86

32Male87

33Female91

34Male98

35Female90

36Female92

37Male93

38Male70

39Female74

40Male95

41Female98

42Female72

43Male93

Sheet2

Sheet3

StatFile AttachmentTestScores2.xls

: 4 98

Score .. 5 .6 .

Score Sum of Score Sum of . 23,4 Score2 Sum of Scure3 .

.Score : 23 . 4

:

. Sum of Score .1 Field Setting Field Setting .2

. ) 24,4 . ( . Average of Score . Average .3 . .4 . OK .5

.Sum of Score : 24 . 4

99

4

. 25,4 .

. Sum of Score : 25 . 4

: Field Setting

. Field Setting Field Setting .1 . Format cells Number .2 . Category Number .3 . OK .4

:

. Sum of Score2 .1 Field Setting Field Setting .2

. . Maximum Summarize by Max .3 . OK .4 . Sum of Scor3 .5 Field Setting Field Setting .6

. . Minimum Summarize by Min .7 . OK .8

: 37

: 4 100

. . :

PivotTable PivotTable Options .1

Options . . Grand Totals .2 . OK .3

. . 26,4

.Score

.Average, maximum, minimum : 26 . 4

PivotTable .

Field 27,4 .


:

101

4

Name . Hide .

. Advanced . Layout

. Subtotals . Show item with no data

.) (

. none . Subtotals Automatic

Custom . (

.) . .

:

Sum . Count . Average . Max . Min . Product . Count Nums . StdDev . StdDevp . Var . Varp .

: 39

: 4 102

PivotTable Field

. Advanced .

Field Layout .

PivotTable Field .

PivotTable . Field Layout 28,4 .

. PivotTable Field Layout : 28 . 4

. outline tabular

Tabular - Outline . 29,4 . 29,4

.

103

4

. ) (Outline ) (Tabular : 29 . 4

:

Insert blank line after each item . Insert page break after each item

.

) 31,4 ( PivotTable Field

. PivotTable Field :

. Name . Subtotals . Show items with no data . Hide

: 39

: 4 104


Subtotals

Subtotals . .

.

. Hide items . Semester 2 Semester 1

. .

PivotTable Field . .

Advanced Field Setting 32,4 PivotTable Field Advanced Options

. .

105

4

PivotTable Field Advanced Options : 31 . 4 . / /

. Access

.

Retrieve external data for all page field items

. .

OLAP

Query external data source as you select each page field item OLAP . OLAP

ODBC . .

Query external data source as you select each page field item-

.

: 39

: 4 106

All . . .

Disable pivoting of this field - . ) (

.

Sort

: AutoSort .

Manual - . Ascending ) .A-Z( Descending ) .Z-A( Data source order

.

. ( Top 10 AutoShow . 35 ).

. : . On . Show Bottom Top . . Using Field

. AutoShow

Off Advanced Field Setting .

107

4

AutoShow Sort AutoShow Sort

. 33,4 .

. SalesBySalesRep.xls .

. : 32 . 4

:

. A2:F120 .1 Data PivotTable and PivotChart Report .2

. . .3 . Sales Rep .4 . Sale Total .5 . Field Setting Sum of Sale Total .6 . Format Cells Number .7 . Currency .8 . OK .9

AutoShow Sort :40

Sheet1

DateSales RepItemCost eachQuantitySale total

7/5/05A. YamamotoJ21344A$ 19.504$ 78.00

7/6/05Q. AckermanQ00345B$ 39.0019$ 741.00

7/26/05J. WilsonL98700F$ 8.252$ 16.50

7/12/05F. RosensteinB20011A$ 22.1519$ 420.85

7/27/05J. WilsonJ21344A$ 19.5019$ 370.50

7/28/05Q. AckermanQ00345B$ 39.0019$ 741.00

7/23/05A. YamamotoC55440D$ 16.752$ 33.50

7/1/05F. RosensteinQ00345B$ 39.005$ 195.00

7/24/05J.T. BakerL98700F$ 8.2515$ 123.75

7/29/05D.F. ChangJ21344A$ 19.5011$ 214.50

7/21/05F. RosensteinB20011A$ 22.1515$ 332.25

7/6/05J. WilsonQ00345B$ 39.0018$ 702.00

7/18/05S. MullerC55440D$ 16.7517$ 284.75

7/3/05O. McBrideJ21344A$ 19.509$ 175.50

7/28/05L. SanchezJ21344A$ 19.5015$ 292.50

7/22/05F. RosensteinL98700F$ 8.2511$ 90.75

7/4/05J. WilsonC55440D$ 16.754$ 67.00

7/7/05W. CarverB20011A$ 22.153$ 66.45

7/3/05A. YamamotoJ21344A$ 19.507$ 136.50

7/30/05A. YamamotoL98700F$ 8.2516$ 132.00

7/21/05L. SanchezJ21344A$ 19.5018$ 351.00

7/17/05D.F. ChangC55440D$ 16.756$ 100.50

7/19/05O. McBrideQ00345B$ 39.005$ 195.00

7/1/05W. CarverQ00345B$ 39.0017$ 663.00

7/25/05D.F. ChangC55440D$ 16.755$ 83.75

7/8/05F. RosensteinJ21344A$ 19.503$ 58.50

7/5/05Q. AckermanB20011A$ 22.1516$ 354.40

7/12/05W. CarverQ00345B$ 39.0018$ 702.00

7/27/05J.T. BakerL98700F$ 8.2514$ 115.50

7/22/05F. RosensteinQ00345B$ 39.0018$ 702.00

7/10/05F. RosensteinC55440D$ 16.7519$ 318.25

7/31/05W. CarverB20011A$ 22.1517$ 376.55

7/14/05D.F. ChangJ21344A$ 19.5015$ 292.50

7/16/05S. MullerC55440D$ 16.758$ 134.00

7/30/05S. MullerQ00345B$ 39.003$ 117.00

7/15/05A. YamamotoQ00345B$ 39.0011$ 429.00

7/28/05F. RosensteinB20011A$ 22.1516$ 354.40

7/10/05F. RosensteinL98700F$ 8.2517$ 140.25

7/29/05W. CarverL98700F$ 8.251$ 8.25

7/6/05O. McBrideJ21344A$ 19.509$ 175.50

7/25/05Q. AckermanJ21344A$ 19.5013$ 253.50

7/17/05W. CarverQ00345B$ 39.0011$ 429.00

7/3/05L. SanchezC55440D$ 16.755$ 83.75

7/24/05F. RosensteinJ21344A$ 19.506$ 117.00

7/5/05J. WilsonC55440D$ 16.7516$ 268.00

7/19/05A. YamamotoQ00345B$ 39.006$ 234.00

7/15/05L. SanchezQ00345B$ 39.007$ 273.00

7/5/05J.T. BakerL98700F$ 8.255$ 41.25

7/7/05O. McBrideB20011A$ 22.1516$ 354.40

7/28/05O. McBrideC55440D$ 16.759$ 150.75

7/8/05F. RosensteinQ00345B$ 39.0010$ 390.00

8/1/05A. YamamotoC55440D$ 16.7516$ 268.00

8/1/05Q. AckermanL98700F$ 8.2520$ 165.00

7/26/05S. MullerJ21344A$ 19.5017$ 331.50

7/11/05L. SanchezC55440D$ 16.751$ 16.75

7/22/05W. CarverQ00345B$ 39.0014$ 546.00

7/3/05S. MullerL98700F$ 8.256$ 49.50

7/24/05L. SanchezC55440D$ 16.7512$ 201.00

7/10/05O. McBrideB20011A$ 22.156$ 132.90

7/26/05A. YamamotoJ21344A$ 19.503$ 58.50

7/10/05J.T. BakerJ21344A$ 19.5014$ 273.00

7/17/05W. CarverL98700F$ 8.2516$ 132.00

7/9/05O. McBrideJ21344A$ 19.505$ 97.50

7/27/05L. SanchezC55440D$ 16.7515$ 251.25

7/31/05J.T. BakerL98700F$ 8.252$ 16.50

7/23/05J.T. BakerC55440D$ 16.7511$ 184.25

7/15/05A. YamamotoJ21344A$ 19.5020$ 390.00

7/28/05F. RosensteinB20011A$ 22.1516$ 354.40

7/24/05A. YamamotoC55440D$ 16.7516$ 268.00

7/13/05O. McBrideJ21344A$ 19.501$ 19.50

7/2/05J.T. BakerQ00345B$ 39.0013$ 507.00

7/28/05D.F. ChangC55440D$ 16.758$ 134.00

7/27/05F. RosensteinL98700F$ 8.2516$ 132.00

7/26/05A. YamamotoC55440D$ 16.7520$ 335.00

7/13/05F. RosensteinJ21344A$ 19.5013$ 253.50

7/25/05W. CarverB20011A$ 22.152$ 44.30

7/11/05F. RosensteinC55440D$ 16.7516$ 268.00

7/15/05S. MullerC55440D$ 16.7516$ 268.00

7/10/05L. SanchezJ21344A$ 19.507$ 136.50

7/2/05Q. AckermanQ00345B$ 39.0020$ 780.00

7/8/05A. YamamotoJ21344A$ 19.507$ 136.50

7/14/05S. MullerC55440D$ 16.756$ 100.50

7/28/05Q. AckermanQ00345B$ 39.0015$ 585.00

7/23/05J.T. BakerB20011A$ 22.1518$ 398.70

7/28/05J. WilsonQ00345B$ 39.007$ 273.00

7/11/05D.F. ChangL98700F$ 8.2511$ 90.75

7/12/05L. SanchezB20011A$ 22.157$ 155.05

7/5/05L. SanchezC55440D$ 16.7516$ 268.00

7/15/05A. YamamotoJ21344A$ 19.5012$ 234.00

7/25/05W. CarverQ00345B$ 39.0020$ 780.00

7/9/05J. WilsonL98700F$ 8.255$ 41.25

7/27/05S. MullerL98700F$ 8.2512$ 99.00

7/15/05F. RosensteinC55440D$ 16.7513$ 217.75

7/14/05L. SanchezJ21344A$ 19.5011$ 214.50

7/23/05W. CarverJ21344A$ 19.5020$ 390.00

7/30/05J. WilsonB20011A$ 22.1510$ 221.50

7/20/05L. SanchezJ21344A$ 19.501$ 19.50

7/14/05F. RosensteinQ00345B$ 39.0012$ 468.00

7/9/05Q. AckermanL98700F$ 8.252$ 16.50

7/6/05D.F. ChangC55440D$ 16.757$ 117.25

7/5/05F. RosensteinB20011A$ 22.1512$ 265.80

7/25/05J.T. BakerJ21344A$ 19.508$ 156.00

7/16/05O. McBrideL98700F$ 8.2511$ 90.75

7/6/05L. SanchezB20011A$ 22.158$ 177.20

7/10/05F. RosensteinC55440D$ 16.7518$ 301.50

7/20/05D.F. ChangJ21344A$ 19.502$ 39.00

8/1/05J. WilsonJ21344A$ 19.5012$ 234.00

7/21/05O. McBrideC55440D$ 16.754$ 67.00

7/4/05J. WilsonQ00345B$ 39.0011$ 429.00

7/2/05L. SanchezC55440D$ 16.758$ 134.00

7/7/05Q. AckermanJ21344A$ 19.506$ 117.00

7/3/05A. YamamotoL98700F$ 8.2514$ 115.50

7/19/05A. YamamotoC55440D$ 16.7515$ 251.25

7/24/05F. RosensteinJ21344A$ 19.5010$ 195.00

7/1/05O. McBrideC55440D$ 16.755$ 83.75

7/13/05Q. AckermanJ21344A$ 19.509$ 175.50

7/8/05L. SanchezB20011A$ 22.1511$ 243.65

7/16/05J. WilsonL98700F$ 8.2514$ 115.50

Sheet2

Sheet3

StatFile AttachmentSalesBySalsRep.xls

: 4 108

. - - :

. Field Setting Sales Rep .1 PivotTable Field Advanced Options Advanced .2

. . Ascending Sort .3 . OK .4

. 34,4

.

. Sales Rep : 33 . 4

. AutoShow

.

. Field Setting Sales Rep .1 PivotTable Field Advanced Options Advanced .2

. . On AutoSort .3 . Top .4 . 3 .5 . OK .6

109

4

. . 35,4 Sales Rep .

AutoShow .

. AutoShow : 34 . 4

Options PivotTable Field

. . 36,4

. . Normal

. Sum, Average, Count . . Show data as

.

. PivotTable Field

.

.

: 41

: 4 110

. Options : 35 . 4

.

. doohickeys Widgets

Widgets 55 . . 100 145

:

Normal .

. !

111

4

: -

% of Row . % of Column . % of Total .

Show data as Running Total -. .

. ( )- .

:

: Running Total

: 41

: 4 112

. Jan ) . 123+95=(218 Jan Feb Feb

. ). 141+218= ( 359: Mar Feb Mar : Show data as

. (

) (previous) ) next( .

.

:

Difference From . % Of . % Difference From -

.

. Index Show data as :

)) () )) / (( ( ) ((

113

.

.

5

114

115 42 117 43 121 44 123 45 126 46 131 47 136 48

115

5

.

. .

.

. .

. . . % 2

% 2 .

:

. .1. Calculated Field . PivotTable Formula .2

1,5 Insert Calculated Field .

. Name .3 : .4

. ) * ( ) ( - ) + (

). ( ^ ) / ( Add

. . Add .5 . OK .6

.

: 42

: 5 116

OLAP OLAP

.

. Insert Calculated Field : 1 .5

.

:

=(ProductTaotal+ServiceTotal)*.1

. 0,1 ServieceTotal ProductTotal ServieceTotal ProductTotal

. . Insert Calculated Field

Name . :

. Delete . Add

117

5

. 2,5

. RiverHeights.xls . .

. : 2 .5

. A2:D16 .1 . Data PivotTable and PivotChart Report .2 . .3 . Date . .4 . Location .5 . Min Heights Max Heights .6

. 3,5

.

: 43

Sheet1

DateLocationMax HeightMin Height

7/1/05West Bridge2219







7/1/05Power Plant1917







Sheet2

Sheet3

StatFile AttachmentRiverHeights.xls

: 5 118

. : 3 .5

: . .

. .1 Calculated Field Formula .2

4,5 Insert Calculated Field . .

( Max Height ( M: Name .3

. Insert Calculated Field : 4 .5

. Backspace .4

.

119

5

*0,3048: .5 . Max Height .6 Max Height . Insert Field .7

. 5,5 Insert Calculated Field . OK .8

. ( Min Height ( M . Minimum heights 8 2 .9

(Min Height ( M . ( Min Height ( M

. maximum height Insert Calculated Field : 5 .5

. 6,5

. . :

: 43

: 5 120

. : 6 .5

. ( Sum of Max Height ( M .1 . Field setting Field Setting .2 . ( Maximum Height ( M .3 . Format Cells Number .4 . .5 . OK .6 (Minimum Height (M ( Sum of Min Height ( M .7

.

Feet . . E Grand Total .

:

. PivotTable Options .1 . Grand Total for Column Grand Total for Row .2

121

5

. OK .3 . Sum of Max Height .4 . Field Setting .5 . Hide .6 . Sum of Min Height 6 4 .7

. 7,5

. . .

. : 7 .5

.

. Department . . Accounting Design Maintenance

. . .

. Formulas Calculated Item . 8,5 Insert Calculated Item

.Month

: 44

: 5 122

. Insert Calculated Item :8 .5

) ( .

. .1 . Group and Outline .2 . Ungroup .3

.

. Fields

. Insert Field .

. .) (

.

. .

123

5

. . Name .1 : Formula .2

. ) ( - ) + (

). ( ^ ) / ( ) * (

. Insert Item OK Add .3

.

SalesProjection.xls . 9,5

: .

. .1 . A2:C27 .2 . PivotTable and PivotChart Report Data .3 . .4 . Row Month .5 . Sales .6

. : 9 .5

: 45

Sheet1

MonthCategorySales

JanShoes$ 1,769

JanShirts$ 2,397

JanPants$ 2,150

JanOuterwear$ 2,820

JanAccessories$ 1,845

FebShoes$ 2,192

FebShirts$ 2,846

FebPants$ 2,814

FebOuterwear$ 2,606

FebAccessories$ 2,718

MarShoes$ 1,055

MarShirts$ 2,319

MarPants$ 1,187

MarOuterwear$ 1,606

MarAccessories$ 2,078

AprShoes$ 2,919

AprShirts$ 2,648

AprPants$ 1,873

AprOuterwear$ 2,255

AprAccessories$ 2,195

MayShoes$ 2,742

MayShirts$ 2,798

MayPants$ 1,880

MayOuterwear$ 1,714

MayAccessories$ 1,590

Sheet2

Sheet3

StatFile AttachmentSalesProjections.xls

: 5 124

. Field Setting Sum of Sales .7 . Format Cells Number .8 . Currency .9

. OK .10

. 10,5

. : 10 .5

. June

. May April % 120 June :

. May .1

. Formulas Calculated Item .2

Insert Calculated Item . .( June ( projected: Name .3 ). ( .4 )*5.: .5 . Month .6 . May .7 . Insert Item .8 . .9

. Apr .10

125

5

. Apr Insert Item .11 . 11,5 1,2*( .12

.June Insert Calculated Item : 11 .5

. OK Add .13

. 12,5

. : 12 .5

.

Category Category .

Category .

: 45

: 5 126

. 13,5 . .

. Category : 13 .5

. F10 B10 . . :

=.5*(May+Apr)*1,2 1,4 1,2 Pants

F2 D10 . .

.

. 23

. . Options

23 Drill down

127

5

. . 14,5 .

SalesBySalesRep.xls. Baker , J.T .

Baker J.T .

).( ) ( : 14 .5

Delete Sheet . (

Edit (.

Group and Show Detail

. Show Detail Hide Detail .

. .

. . . TestScore.xls 15,5

Age Group Gender Gender . 15,5

.

... ...

: 46

: 5 128

. Gender ) ( ) ( : 15 .5

. Age Group 15,5 .

:

). ( . Show Detail

.

Show Detail .

16,5 TestScore . .

129

5

. : 16 .5

OK

:

. ) (

.

.

. . 17,5 . # Subject Age Group

OLAP . OLAP

Hide Show Detail Detail .

. High Levels

. Show Levels .

: 46

: 5 130

Age Group ) ( ) ( : 17 .5

Subject # .

: OLAP

. .1 Property Property Fields .2

Fields . . Choose properties .3 . .4 Properties to display .5

.

131

5

. Show Fields for Dimension in Outline Form .6 . OK .7

.

Show Detail .

. Group . 35 18 .

:

35 18 : 1 49 36 : 2 65 50 : 3

.

. .

:

Northeast :Boston, Hartford, New York South: Atlanta, Miami, Charleston

Midwest: Chicago, Toledo, Omaha

.

Group Group and Show Detail

: 47

: 5 132

. Grouping . . Ungroup

.

. 18,5 Grouping Ending at Starting at

. . By .

. Grouping : 18 .5

. 19,5

:

. : 19 .5

133

5

Age Grouping . 20,5 10 65 18

. 10 Age : 20 .5

. 39-30 29-20

:

. .1 . Starting at 20 .2 . Ending at 59 .3

: 21,5

. : 21 .5

. 22,5 OK

:

. >20 ... 39-30 29-20 .

: 5 134

. : 22 .5

. .

. : 23,5 Grouping

. : 23 .5

. Ending at Starting at

. ) ( .

. : By . .

.

135

5

. 5 . . 5

. 24,5 : .

.

. : 24 .5

Date of Survey Grouping

25,5 . 3 Number .

. Date of Survey : 25 .5

. Ending at Starting at

. 9/4/2005 Ending at .

9/4/2005 . 26,5 . < 9/4/2005

: 47

: 5 136

.Ending at : 26 .5

. " other items"

( Ctrl .)

. Group Show Details Group .

. .

27,5 . . SurveyResults2.xls

Sheet1

Subject #AgeGenderDate of SurveyRaceQuestion 1Question 2Question 3

150M9/1/05BlackNoYesYes

219M9/3/05HispanicNoUnsureUnsure

331F9/2/05WhiteYesYesNo

451M9/2/05AsianYesNoYes

524F9/1/05WhiteNoUnsureYes

658F9/3/05OtherNoUnsureYes

721F9/1/05BlackNoNoNo

836M9/3/05WhiteUnsureNoYes

949M9/2/05WhiteYesUnsureNo

1055F9/2/05AsianNoUnsureNo

1131M9/1/05WhiteNoYesUnsure

1218F9/3/05OtherUnsureUnsureUnsure

1344M9/1/05BlackNoYesUnsure

1445M9/3/05WhiteYesYesYes

1539M9/2/05BlackUnsureUnsureNo

1652F9/2/05HispanicNoYesUnsure

1765M9/1/05WhiteNoYesNo

1842F9/3/05AsianYesUnsureNo

1919F9/1/05WhiteYesNoUnsure

2041F9/3/05OtherNoYesYes

2118M9/2/05BlackYesNoNo


2323F9/1/05WhiteNoYesYes


2545F9/1/05WhiteNoNoNo

2635M9/3/05OtherNoNoYes

2756M9/2/05BlackYesYesNo

2830M9/2/05WhiteUnsureYesUnsure

2928F9/1/05HispanicNoYesYes

3062M9/3/05WhiteYesNoYes

3157F9/1/05AsianNoYesYes

3252F9/3/05WhiteUnsureUnsureYes

3320F9/2/05OtherYesYesYes

3426M9/2/05BlackUnsureNoYes

3518M9/1/05WhiteUnsureYesYes

3644F9/3/05WhiteYesUnsureNo

3752M9/1/05AsianUnsureNoYes

3856F9/3/05WhiteYesYesYes

3922M9/2/05OtherYesNoYes

4036M9/2/05BlackYesUnsureYes

4139M9/1/05WhiteNoNoYes

4265F9/3/05BlackYesYesUnsure

4364M9/1/05HispanicNoUnsureYes

4431F9/3/05WhiteYesYesNo

4553F9/2/05AsianUnsureUnsureNo

4658F9/2/05WhiteUnsureUnsureNo

4759M9/1/05OtherYesUnsureUnsure

4824M9/3/05BlackYesYesNo

4933F9/1/05WhiteUnsureYesUnsure


5143F9/2/05AsianYesUnsureUnsure

5249M9/2/05HispanicUnsureYesYes


5460M9/3/05AsianNoUnsureUnsure


5652M9/3/05OtherNoYesYes

5760F9/2/05BlackNoUnsureNo


5926F9/1/05WhiteNoNoUnsure

6027M9/3/05AsianNoYesUnsure

6137M9/1/05WhiteUnsureUnsureYes

6254F9/3/05OtherUnsureYesYes


6428F9/2/05WhiteUnsureNoUnsure


6653M9/3/05HispanicYesYesYes

6757M9/1/05WhiteYesNoUnsure

6823F9/3/05AsianUnsureUnsureUnsure


7061F9/2/05OtherNoNoUnsure

7140F9/1/05BlackNoYesUnsure

7245F9/3/05WhiteNoYesNo

7352M9/1/05WhiteYesYesYes

7447M9/3/05AsianUnsureYesNo

7528F9/2/05WhiteNoUnsureNo

7630M9/2/05OtherUnsureNoUnsure

7760F9/1/05BlackYesYesYes


7921M9/1/05HispanicNoUnsureNo


8142F9/2/05AsianYesYesUnsure

8245M9/2/05WhiteUnsureNoNo

8334F9/1/05OtherYesNoYes

8454F9/3/05BlackYesNoUnsure


8653M9/3/05WhiteUnsureUnsureUnsure

8727M9/2/05AsianYesYesNo

8856F9/2/05WhiteUnsureYesUnsure

8963M9/1/05OtherUnsureNoUnsure

9053F9/3/05WhiteYesNoUnsure


9253M9/3/05AsianUnsureYesUnsure

9322M9/2/05HispanicNoNoYes


9554M9/1/05AsianUnsureUnsureNo

9626F9/3/05WhiteNoUnsureUnsure

9751F9/1/05OtherNoNoUnsure

9851F9/3/05BlackNoNoNo


10038M9/2/05WhiteUnsureNoUnsure

10154F9/1/05AsianUnsureNoUnsure


10326F9/1/05OtherYesUnsureYes

10464M9/3/05BlackUnsureYesYes

10561M9/2/05WhiteNoUnsureYes

10655M9/2/05BlackUnsureNoYes

10733F9/1/05HispanicUnsureNoNo

10848M9/3/05WhiteUnsureYesNo

10930F9/1/05AsianUnsureYesYes

11018M9/3/05WhiteYesYesUnsure

11139M9/2/05OtherNoUnsureUnsure

11259M9/2/05BlackNoNoUnsure


11452M9/3/05WhiteNoUnsureNo


11653F9/3/05WhiteYesYesUnsure

11759F9/2/05OtherNoNoYes

11828M9/2/05BlackUnsureUnsureNo

11918M9/1/05WhiteNoUnsureUnsure

12061F9/3/05HispanicYesNoYes


12250F9/3/05AsianUnsureNoUnsure

12325M9/2/05WhiteYesUnsureUnsure

12423F9/2/05OtherYesUnsureNo

12523F9/1/05BlackUnsureUnsureUnsure

12637M9/3/05WhiteNoYesNo


12854F9/3/05AsianNoYesUnsure

12957M9/2/05WhiteYesYesNo

13060F9/2/05OtherNoYesNo



13336M9/1/05BlackNoNoNo


13530M9/2/05WhiteYesUnsureYes


13760F9/1/05WhiteNoUnsureUnsure


13941M9/1/05WhiteNoUnsureUnsure

14027M9/3/05WhiteNoUnsureNo

14142F9/2/05AsianYesUnsureYes

14224M9/2/05HispanicUnsureNoNo


14433M9/26/05AsianYesYesYes

14539M9/27/05WhiteYesUnsureYes

14631M9/27/05OtherYesYesYes

14761F9/26/05BlackUnsureNoUnsure


14931F9/26/05WhiteUnsureYesNo


15153F9/27/05WhiteUnsureNoYes

15246M9/26/05OtherNoNoYes

15352M9/25/05BlackYesUnsureUnsure


15561M9/27/05BlackUnsureUnsureYes

15622F9/27/05HispanicNoNoNo

15732M9/26/05WhiteUnsureUnsureNo

15835M9/25/05AsianUnsureUnsureYes

15921M9/26/05WhiteNoNoNo

16059F9/27/05OtherNoYesYes


16262F9/26/05WhiteNoYesUnsure


16437F9/26/05AsianYesUnsureNo



16726F9/26/05BlackNoUnsureUnsure

16834M9/25/05WhiteNoNoUnsure

16965F9/26/05HispanicNoNoNo

17037M9/27/05WhiteYesNoUnsure

17124M9/27/05AsianNoYesYes


17330F9/25/05OtherUnsureUnsureUnsure

17459M9/26/05BlackYesNoUnsure



17760M9/26/05AsianNoYesYes


17924F9/26/05OtherUnsureNoNo

18063M9/27/05OtherNoYesNo

18161F9/27/05WhiteYesNoNo

18262F9/26/05WhiteUnsureYesNo


18465M9/26/05HispanicNoNoUnsure


18646F9/27/05AsianUnsureNoYes

18724M9/26/05WhiteNoYesYes

18847F9/25/05OtherYesUnsureYes

18938F9/26/05BlackYesNoYes

19040M9/27/05WhiteYesYesNo


19247M9/26/05AsianUnsureUnsureNo

19338M9/25/05WhiteNoUnsureYes

19462M9/26/05OtherYesNoNo

19544F9/27/05BlackNoNoUnsure


19744F9/26/05BlackYesUnsureNo



20035M9/27/05AsianNoUnsureUnsure



20346M9/25/05BlackNoNoYes

20463F9/26/05WhiteNoNoUnsure


20653M9/27/05AsianUnsureYesNo


20825F9/25/05OtherUnsureUnsureYes

20919M9/26/05BlackNoYesYes



21250F9/26/05WhiteUnsureUnsureUnsure

21322M9/25/05AsianUnsureYesYes

21432M9/26/05WhiteYesUnsureUnsure

21533F9/27/05OtherNoUnsureNo




21920M9/26/05AsianYesYesNo


22145F9/27/05OtherYesNoYes



22439F9/27/05OtherNoYesUnsure

22520F9/26/05OtherNoUnsureYes

22657M9/25/05Whit

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