Insight and Conslusion - Ramnik Singh
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School
Conestoga College *
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Course
8002
Subject
Industrial Engineering
Date
Jan 9, 2024
Type
docx
Pages
3
Uploaded by DukeKoalaPerson1041
Report provides insight and conclusion for each of the created charts.
1.
Line Chart
01/
01/
2023
04/0
1/2023
07/
01/
2023
10/
01/
2023
13/
01/
2023
16/
01/
2023
19/
01/
2023
22/
01/
2023
25/
01/
2023
28/
01/
2023
31/
01/
2023
03/
02/
2023
06/
02/
2023
09/
02/
2023
12/
02/
2023
15/
02/
2023
18/
02/
2023
21/
02/
2023
24/0
2/2023
27/0
2/2023
0
5
10
15
20
25
Trend of Defective units over Time
Date
Defetive Units
The variables shown on the X and Y axes, respectively, are Dates and Defective
units. I've come to the conclusion that while there are huge oscillations in the number
of damaged units between January 1 and February 12, 2023, the number
progressively decreases after that. I infer that there is a diminishing trend from this
line graph as a result.
2.
Stacked Column Chart
1
7
4
10
13
16
19
22
25
28
31
34
37
40
43
46
49
52
55
58
940
960
980
1000
1020
1040
Chart Title
Defective Units
Total Unit Produced
The stacked column chart led me to the conclusion that the quantity of units
produced and the quantity of defective units are directly inversely connected.
Because both the number of units produced and the quantity of defective units grow.
3.
Scatter Plot
4
6
8
10
12
14
16
18
20
22
0
5
10
15
20
25
30
35
Downtime
Downtime
Defective Units
The plot makes it clear that the relationship between downtime and defective units is
inversely proportional.
4.
Combination Chart
1
7
4
10
13
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19
22
25
28
31
34
37
40
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46
49
52
55
58
960
970
980
990
1000
1010
1020
0
1
2
3
4
5
6
Chart Title
Total Units Produced
Average Time to Fix
Axis Title
Axis Title
Axis Title
The chart above shows that as unit production increases, so does the average time
to solve a problem.
5.
Scatter Plot (2)
4
6
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10
12
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18
20
22
0
5
10
15
20
25
30
35
Downtime
Downtime
Defective Units
6.
Sparkling Lines
Use sparklines to quickly summarize the production trend. The sparklines
representing the production trend are graphically displayed.
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