Data Analysis
xlsx
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School
Univesity of Nairobi *
*We aren’t endorsed by this school
Course
535
Subject
Industrial Engineering
Date
Nov 24, 2024
Type
xlsx
Pages
16
Uploaded by chilufyaenock62
Date
- all -
Sum - Sales
Facility
Drugs
Chilenje
Kasangula Zambezi
Total Result
Ascorbic $116,950 $170,866 ###
$478,662 Ibut-200 $75,448 $95,249 $32,058 $202,755 Vitamin $33,415 $116,558 $63,882 $213,855 Total Result
$225,813 $382,673 ###
$895,272
Objective #9: Excel Functions to Make Calculations Based on an AN
Objective #10: SUMIFS for Summary Report Based on Adding, Old S
Goals:
1 We want a Cross Tabulated Report showing Total Sales by Drugs and Facility.
2 We want a Cross Tabulated Report showing Average Sales by Drugs and Facility.
3 We want a Cross Tabulated Report showing the Count of Transactions by Drugs and Facility.
4 We are entering data each day and we want reporting solution to update instantly when we add ne
Date
Facility
Drugs
Sales
Cross Tabulated Report for Total S
2/11/2019 Chilenje
Ibut-200 $38,016 Drugs/ facility
Chilenje
2/11/2019 Kasangula
Vitamin $71,182 Ascorbic 116,950
2/11/2019 Zambezi
Ascorbic $70,720 Ibut-200 75,448
2/11/2019 Chilenje
Ascorbic $69,598 Vitamin 33,415
2/11/2019 Kasangula
Ibut-200 $55,299 2/11/2019 Zambezi
Vitamin $63,882 =SUMIFS($E$11:$E$27,$D$11:$D$
2/12/2019 Chilenje
Ascorbic $47,352 2/12/2019 Kasangula
Ascorbic $53,105 Cross Tabulated Report for Averag
2/12/2019 Zambezi
Ibut-200 $32,058 Drugs/ facility
Chilenje
2/12/2019 Chilenje
Vitamin $33,415 Ascorbic 2/12/2019 Kasangula
Ascorbic $71,880 Ibut-200 2/13/2019 Zambezi
Ascorbic $63,092 Vitamin 2/13/2019 Chilenje
Ibut-200 $37,432 2/13/2019 Kasangula
Vitamin $45,376 #N/A
2/13/2019 Zambezi
Ascorbic $57,034 Cross Tabulated Report for Count 2/13/2019 Kasangula
Ascorbic $45,881 Drugs/ facility
Chilenje
2/13/2019 Kasangula
Ibut-200 $39,950 Ascorbic Ibut-200 Vitamin 1/14/2019 Kasangula
Ascorbic Aci
31980
1/14/2019 Zambezi
Ascorbic Aci
45789
1/14/2019 Chilenje
Ibut-200 X10
55299
1/14/2019 Kasangula
Vitamin C 10
63882
1/14/2019 Zambezi
Ascorbic Aci
47352
1/14/2019 Kasangula
Ascorbic Aci
29870
1/14/2019 Kasangula
Ibut-200 X10
31852
ND Logical Text.
Objective #11: COUNTIFS for Summary R
School Cell References and Dynam
Objective #12: AVERAGEIFS for Summary
ew sales data.
Sales ($)
Cross Tabulated Report for Total Sales ($)
Kasangula
Zambezi
Drugs/ facility
#NAME?
#NAME?
#NAME?
170,866
190,846
#NAME?
95,249
32,058
#NAME?
116,558
63,882
#NAME?
$27,$G12,$C$11:$C$27,H$11)
ge Sales ($)
Cross Tabulated Report for Average Sales ($)
Kasangula
Zambezi
Drugs/ facility
#NAME?
#NAME?
#NAME?
#NAME?
#NAME?
#NAME?
of Transactions
Cross Tabulated Report for Count of Transactions
Kasangula
Zambezi
Drugs/ facility
#NAME?
#NAME?
#NAME?
#NAME?
#NAME?
#NAME?
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Report Based on Counting, Old School Cell References and Dynamic Ar
y Report Based on Averaging, Old School Cell References and Dynami
#NAME?
rrays.
ic Arrays.
IF Formula Basics
15000
15000
Good
20000
Drugs
Revenue
Ibut-200 X1000
16,000
Vitamin C 1000mg + Zinc 10mg X20
7,718
Foliben (Folic Acid) 5mg Tablets X200
15,033
18,701
14,432
Ascorbic Acid 500mg (Crescent) X28
17,990
Apectine 4mg X1000
11,022
Zyncet 10mg X200
17,760
Kotrim X100
30,400
Nifedipine Retard-20 X100
20,400
Revenue > 15000 then "Good"
Revenue > 15000 and <20000 then "Good"
Regamol 500mg(Paracetamol 500mg) X1000
Ascorb Vitamin C 100mg (Essential Healthcare) X20
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15000
20000
20000
15000
Revenue > 15000 and <20000 then "Good", Revenue >=20000 is "Exceptional", rest is value
Revenue >= 20000 or <=15000 then "Flag"
MATCH function is a lookup function that returns the relative position of an Match w 0 (Exact Match)
Only 1 in list
Dups
Not in List
Lookup
Jo
Tom
Sue
Jo
Relative Position
2
3
#N/A
2
List 1
List 1
Joe
Joe
Jo
Tom
Sioux
Sioux
Sioux
Tom
MATCH with 1 or Empty & Sorted Ascending (Approximate Match - 1st Biggest & Jump Ba
Fits in Gap
Finds Exact Value
Smaller Than First
Bigger than Last
Lookup
$150.00 $100.00 ($400.00)
$20,000.00 Relative Position
2
2
#N/A
7
List 1
List 1
$0.00 $0.00 $100.00 100 <= x < 500
$500.00 lookup_value
is the value you tell the match function to lookup
lookup_array
is the list that you look an item up in
[match_type]
tells the MATCH what sort of lookup to do:
1 or empty
= aproximate match; table sorted ascending; first bigger value bumped into then jump back one
returns #N/A, if bigger than last it returns last value
0
= extact match, if duplicates, it finds first one only, can't find it it show
-1
= aproximate match; table sorted descending; first smaller value bumped into then jump back one position, if smaller than last it returns last value
MATCH can do vertical or horizontal
=MATCH(B12,$E$15:$
K$15,0)
$1,000.00 $2,500.00 $5,000.00 $10,000.00 MATCH with -1 & Sorted Descending (Approximate Match - 1st Smallest & Jump Back)
Fits in Gap
Finds Exact Value
Bigger Than First
Smaller than Last
Lookup
$1,500.00 $2,500.00 $20,000.00 ($10.00)
Relative Position
3
List 1
List 1
$10,000.00 $10,000.00 $5,000.00 $2,500.00 $1,000.00 $500.00 $100.00 $0.00
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item in a list
Jo
Tom
Sioux
Sioux
Sioux
Tom
ack)
$50.00 $100.00 $500.00 $1,000.00 $2,500.00 $5,000.00 $10,000.00 e position, if value is smaller than first item ws #N/A
if value is bigger than first item returns #N/A, MATCH can do vertical or horizontal
$9,000.00 $5,000.00 $2,500.00 $1,000.00 $500.00 $100.00 $0.00 MATCH can do vertical or horizontal
INDEX is a lookup function that can do a two-way lookup.
The intersection of the row and column is the value that is returned to the cell or formula
1
5
25
100
Part1
13.00%
15.00%
17.00%
19.00%
Part2
14.00%
16.00%
18.00%
20.00%
Part3
15.00%
17.00%
19.00%
21.00%
Part4
16.00%
18.00%
20.00%
22.00%
Part5
17.00%
19.00%
21.00%
23.00%
Part6
18.00%
20.00%
22.00%
24.00%
PartID
Part3
<<== Row
Qty
50
<<==Column
Discount
<<==
Returned Value
array
argument is the two dementioanl table (both a row and a column - that is the two-way part of it)
row_num
argument tells index which row to look at
column_num
argument tells index which colum to look at
Discount Table
PartID/Qt
y
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Description
Location Code
Unit of MeQuantity
Invoiced QCost Per Unit
Ibut-200 X1000
LUSAKA
PCS
-226,000
-226,000
0.11
Vitamin C 1000mg + Zinc 10mg X20
LUSAKA
PCS
-147,200
-147,200
3.47
Foliben (Folic Acid) 5mg Tablets X200
LUSAKA
PCS
-134,280
-134,280
3.47
Regamol 500mg(Paracetamol 500mg) X1LUSAKA
PCS
-76,000
-76,000
0.05
Ascorb Vitamin C 100mg (Essential HealtLUSAKA
PCS
-71,000
-71,000
0.10
Ascorbic Acid 500mg (Crescent) X28
LUSAKA
PCS
-70,000
-70,000
0.18
Apectine 4mg X1000
LUSAKA
PCS
-58,320
-58,320
2.20
Zyncet 10mg X200
LUSAKA
PCS
-54,820
-54,820
2.20
Kotrim X100
LUSAKA
PCS
-53,508
-53,508
3.46
Nifedipine Retard-20 X100
LUSAKA
PCS
-53,424
-53,424
3.46
HOP-C Tablets (Chlorpheniramine MaleatLUSAKA
PCS
-44,000
-44,000
0.08
Ibuprofen 200mg X1000
OWN LOG.
PCS
-42,784
-42,784
3.46
Coldcare Flu & Cold Tablets X4
LUSAKA
PCS
-42,784
-42,784
3.46
Dynapar Tablets X100
LUSAKA
PCS
-42,600
-42,600
0.18
Ascorb Vitamin C 100mg (Essential Healthcare) X20
Description
Location Code
Unit of Measure Code
Quantity
Invoiced Quantity
Cost Per Unit
https://www.seczambia.org.zm/
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Sales Performance:
What is the total sales amount for the given time period?
Which product has the highest sales amount?
Can you identify the top 5 customers based on sales?
Inventory Management:
What is the remaining quantity for each product in the warehouse?
Which products are running low on stock?
Cost Analysis:
What is the total cost amount for the products sold?
What is the profit margin for each product?
Customer Analysis:
How many unique customers made purchases during this period?
What is the average quantity of products purchased per customer?
Vendor Analysis:
Who are the top 3 vendors in terms of sales amount?
What is the average cost per unit for products from each vendor?
Quantity Analysis:
What is the overall quantity sold for each unit of measure (e.g., PACK)?
Can you identify any patterns or trends in the quantity sold?
Product Specific:
For the product "POWDER DAY BY DAY 250 GRS - ROSE X1," what is the sales amount and remaining quantity?
Time Analysis:
How does sales performance vary over different dates or months?
Are there any seasonal trends in sales?
Invoice Analysis:
How many unique invoices are there, and what is the average sales amount per invoice?
Unit Price Analysis:
What is the average cost per unit for all products?
Are there any products with unusually high or low cost per unit?