pivot table and histograms

24
PELICAN STORES BY ABHILASH ENDIGERI MADHURKANT GAUR NITISH MANCHANDA RACHIT TANEJA ABHINAV CHAVESH

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Transcript of pivot table and histograms

Page 1: pivot table and histograms

PELICAN STORES

BYABHILASH ENDIGERI

MADHURKANT GAUR NITISH MANCHANDA

RACHIT TANEJAABHINAVCHAVESH

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FREQUENCY OF CUSTOMERS

Promotional70%

Regular30%

frequency

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CARDS USED

PROP CARD

MASTER CAR

VISA

DISCOVER

AMER EXPRE

70

14

10

4

2

TYPES OF CARD USED

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SCATTER PLOT

• A scatter plot is a graph with points plotted to show a possible relationship between two sets of data.

• A correlation describes a relationship between two data sets. The correlation can help you analyze trends and make predictions. There are three types of correlations between data.

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ANALYSIS BASED ON AGE

0.00 50.00 100.00 150.00 200.00 250.00 300.00 350.000

10

20

30

40

50

60

70

80

90

NET SALES VS AGE

Age

Net Sales

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ANALYSIS OF SCATTER PLOT

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ANALYSIS BASED ON CUSTOMERS

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HISTOGRAM

• Histograms are a useful way to illustrate the frequency distribution of continuous data.

• A frequency polygon is obtained by joining the mid-points of the top of the histogram bars.

• If the classes are not of equal width, we cannot use the frequency as the vertical axis. This is because the frequency needs to be shown by the area of the bar, not just the height of the bar.

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HISTOGRAM DATAAge Frequency

20 225 330 1335 1140 1545 1450 1855 1060 565 370 375 280

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HISTOGRAM

20 25 30 35 40 45 50 55 60 65 70 75 80 More0

2

4

6

8

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18

20Histogram

Frequency

BIN

Freq

uenc

y

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CROSS TABULATION

• Cross-Tabulation: A technique for analyzing the relationship between two variables that have been organized in a table.

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Understanding Independent and Dependent Variables

• Example: If we hypothesize that income varies by the level of education a person has, what is the independent variable, and what is the dependent variable?

• Independent: Education • Dependent: Income

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AGE ANALYSISAGE PROMOTIONAL REGULAR

20-29 7 3

30-39 22 8

40-49 20 13

50-59 12 4

60-69 7 -

70-80 2 2

TOTAL 70 30

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AGE ANALYSIS

Promotional Regular0

5

10

15

20

25

20-2930-3940-4950-5960-6970-80

Customers

Feqq

uenc

y

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BASED ON RELATIONSHIP STATUS

MARRIED SINGLE TOTAL

PROMOTIONAL

61 9 70REGULAR

23 7 30TOTAL

84 16 100

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Promotional Regular0

10

20

30

40

50

60

70

MarriedSingle

Customers

Freq

uenc

y

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ANALYSIS BASED ON PRICEPRICE REGULAR PROMOTIONAL

10-60 19 32

60-110 8 21

110-160 3 9

160-210 4

210-260 2

260-310 2

TOTAL 30 70

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ANALYSIS BASED ON PRICE

Promotional Regular0

5

10

15

20

25

30

35

10-6060-110110-160160-210210-260260-310

Customers

Freq

uenc

y

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ANALYSIS ON CARD TYPE AND RELATIONSHIP STATUS

CARD USED MARRIED SINGLE

AMERICAN EXPRESS 2

DISCOVER 3 1

MASTER CARD 12 2

PROPRIETARY 60 10

VISA 7 3

TOTAL 83 17

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ANALYSIS ON CARD TYPE AND RELATIONSHIP STATUS

Married Single0

10

20

30

40

50

60

70

American ExpressDiscoverMasterCardProprietary CardVisa

Customer

Freq

uenc

y

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ANALYSIS ON ITEMS AND CUSTOMERS

ITEMS REGULAR PROMOTIONAL

1 14 15

2 17 10

3 8 2

4 9 1

5 8 1

6 6 1

7 1

8 1

9 3

10 1

13 1

17 1

TOTAL 70 30

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ANALYSIS ON ITEMS AND CUSTOMERS

1 2 3 4 5 6 7 8 9 10 13 170

2

4

6

8

10

12

14

16

18

PromotionalRegular

Items

Freq

uenc

y

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ANALYSIS ON CARD USED AND CUSTOMER TYPE

CARD REGULAR PROMOTIONAL

AMERICAN EXPRESS 1 1

DISCOVER 4

MASTER CARD 7 7

PROPRIETARY 13 57

VISA 5 5

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ANALYSIS ON CARD USED AND CUSTOMER TYPE

Promotional Regular0

10

20

30

40

50

60

American ExpressDiscoverMasterCardProprietary CardVisa

Customers

Freq

uenc

y