Comprehensive Report: Data Handling and Business Intelligence
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AI Summary
This report delves into data handling and business intelligence, presenting a comprehensive analysis of data using tools like Microsoft Excel and SPSS. The first part of the report focuses on data management techniques, emphasizing the use of Excel for data modification, estimation, and graphical representation to analyze crime rates over a 10-year period. It discusses statistical insights such as mean, median, and mode, along with the application of VLOOKUP for data confirmation. The second part analyzes survey data related to student preferences, employing statistical analysis to derive meaningful outcomes and consequences. It also presents a comparative analysis of SPSS and Excel, highlighting their respective merits and demerits in data analysis scenarios. The report concludes by summarizing key findings and referencing relevant academic sources.

Data handling and
Business intelligence
Business intelligence
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Table of Contents
PART 1............................................................................................................................................3
INTRODUCTION...........................................................................................................................3
Main Body.......................................................................................................................................3
Use of excel for the further analysis of the data.....................................................................3
Estimating of the Data fixed:..................................................................................................3
Signal of the data with the contribution of excel resolution:..................................................4
Graphical Display of the data penetrating suitable graphs:....................................................4
CONCLUSION................................................................................................................................6
REFERENCES................................................................................................................................7
PART 2............................................................................................................................................8
INTRODUCTION...........................................................................................................................8
Main Body.......................................................................................................................................8
Data enquiry...........................................................................................................................8
Outcomes and consequences................................................................................................11
Argument..............................................................................................................................11
Merits and Demerits of using SPSS.....................................................................................12
Merits and Demerits of Excel...............................................................................................12
Conclusion.....................................................................................................................................12
References......................................................................................................................................13
Appendix........................................................................................................................................14
PART 1............................................................................................................................................3
INTRODUCTION...........................................................................................................................3
Main Body.......................................................................................................................................3
Use of excel for the further analysis of the data.....................................................................3
Estimating of the Data fixed:..................................................................................................3
Signal of the data with the contribution of excel resolution:..................................................4
Graphical Display of the data penetrating suitable graphs:....................................................4
CONCLUSION................................................................................................................................6
REFERENCES................................................................................................................................7
PART 2............................................................................................................................................8
INTRODUCTION...........................................................................................................................8
Main Body.......................................................................................................................................8
Data enquiry...........................................................................................................................8
Outcomes and consequences................................................................................................11
Argument..............................................................................................................................11
Merits and Demerits of using SPSS.....................................................................................12
Merits and Demerits of Excel...............................................................................................12
Conclusion.....................................................................................................................................12
References......................................................................................................................................13
Appendix........................................................................................................................................14

PART 1
INTRODUCTION
The case study explains about the data management which combines the collection of data
and also confirms details information provided by it. It helps in protecting the value and return of
the company and administration of the organisation by defining the aims and objectives of the
business. Efficiency and effectiveness of the company plays very vital role in the management to
achieve the objective laid down by the management. The data is related to last 10 years of the
which has been modified using VLOOKUP, Count if, etc. These modifications are done to
accomplish a relation among the data which defines the purpose of the report. This helps in
securing data from duration and entries on a huge scale (Cheng and et.al., 2018).
Main Body
Use of excel for the further analysis of the data.
Microsoft excel helps organisation in finding outcomes of results with the help of functions
of Excel. It does not confirm that all the findings can be derived from the Microsoft Excel. Data
with advance adjustments can be handled with the advance features of the Microsoft Advanced
Excel. The provided data is related with last 10 years and concerned with the increase in the level
of crime in the past period. There are various factors which will effected on the basis of stage
diverges are expenses, southern area, education stage, etc.
Estimating of the Data fixed:
In the given information, it has performed expressing insights which involve mean, median
and mode etc. on the information given in the successful bookkeeping sheet. The bad behavior
rate has averaged 102.80%, often indicating serious wrongdoing in the current year, and the 10-
year average is the same (Harrison and Johnson, 2019). Wrongdoing is estimated to reach
102.07%, indicating that the wrongdoing value will be monitored for up to 10 years. It mainly
shows that respect for wrongdoing is supported. Such variables in country or domain
information, costs incurred, size of the country, etc., all exaggerate the extent of wrongdoing.
Expressive insight makes creative thinking about information humbler and simple, with the goal
that the results can be discussed later in a 10-year period. Few factors can also affect the level of
INTRODUCTION
The case study explains about the data management which combines the collection of data
and also confirms details information provided by it. It helps in protecting the value and return of
the company and administration of the organisation by defining the aims and objectives of the
business. Efficiency and effectiveness of the company plays very vital role in the management to
achieve the objective laid down by the management. The data is related to last 10 years of the
which has been modified using VLOOKUP, Count if, etc. These modifications are done to
accomplish a relation among the data which defines the purpose of the report. This helps in
securing data from duration and entries on a huge scale (Cheng and et.al., 2018).
Main Body
Use of excel for the further analysis of the data.
Microsoft excel helps organisation in finding outcomes of results with the help of functions
of Excel. It does not confirm that all the findings can be derived from the Microsoft Excel. Data
with advance adjustments can be handled with the advance features of the Microsoft Advanced
Excel. The provided data is related with last 10 years and concerned with the increase in the level
of crime in the past period. There are various factors which will effected on the basis of stage
diverges are expenses, southern area, education stage, etc.
Estimating of the Data fixed:
In the given information, it has performed expressing insights which involve mean, median
and mode etc. on the information given in the successful bookkeeping sheet. The bad behavior
rate has averaged 102.80%, often indicating serious wrongdoing in the current year, and the 10-
year average is the same (Harrison and Johnson, 2019). Wrongdoing is estimated to reach
102.07%, indicating that the wrongdoing value will be monitored for up to 10 years. It mainly
shows that respect for wrongdoing is supported. Such variables in country or domain
information, costs incurred, size of the country, etc., all exaggerate the extent of wrongdoing.
Expressive insight makes creative thinking about information humbler and simple, with the goal
that the results can be discussed later in a 10-year period. Few factors can also affect the level of

respect for wrongdoing by isolating the level of respect for wrongdoing from the level of the
populace.
Outset of Data:
Under information creative thinking, the presentation of information has been arranged
graphically through different charts, guides and diagrams etc. These devices provide an
attainable way to shape and understand the subtleties of turns, anomalies, and game plans where
information is fixed or given. In the formation of massive amounts of information, information
conception tools play an important role in discovering goals that information-centric decision-
making can prepare for in advance, in order to discover great value in detail. In the fixed given
information, the information has been conceptualized with the help of the reasons for success,
which are performed on the given information, i.e. turntable and focus. Carousel helps organize
information or details to simplify business (Huang and et.al., 2020).
Signal of the data with the contribution of excel resolution:
Confirmation has been approved out with the contribution of V look up drive
(Concealed in Excel spreadsheet)
Graphical Display of the data penetrating suitable graphs:
The graph shows the general finding of information that has been put into the success
calculation table that sent the wrongdoing in a particular year, and thus concatenates the
information over a 10-year period. Both insights are tested in subsequent graphs that show that
both gain more of equal value over time. The redundant graphs given represent the effects of
wrongful conduct, relying on information arranged in the country, as the level of training
occupies an urgent part of the wrongful conduct value in that country. As if the professional
frame is not properly arranged, then the degree of error is higher (Leimeister, 2019).
populace.
Outset of Data:
Under information creative thinking, the presentation of information has been arranged
graphically through different charts, guides and diagrams etc. These devices provide an
attainable way to shape and understand the subtleties of turns, anomalies, and game plans where
information is fixed or given. In the formation of massive amounts of information, information
conception tools play an important role in discovering goals that information-centric decision-
making can prepare for in advance, in order to discover great value in detail. In the fixed given
information, the information has been conceptualized with the help of the reasons for success,
which are performed on the given information, i.e. turntable and focus. Carousel helps organize
information or details to simplify business (Huang and et.al., 2020).
Signal of the data with the contribution of excel resolution:
Confirmation has been approved out with the contribution of V look up drive
(Concealed in Excel spreadsheet)
Graphical Display of the data penetrating suitable graphs:
The graph shows the general finding of information that has been put into the success
calculation table that sent the wrongdoing in a particular year, and thus concatenates the
information over a 10-year period. Both insights are tested in subsequent graphs that show that
both gain more of equal value over time. The redundant graphs given represent the effects of
wrongful conduct, relying on information arranged in the country, as the level of training
occupies an urgent part of the wrongful conduct value in that country. As if the professional
frame is not properly arranged, then the degree of error is higher (Leimeister, 2019).
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CONCLUSION
As it is concluded from the above report that information restoration is related to the level
of wrongdoing over a 10-year period. The reason is that appropriate information is found when
using Express Insights, various pre-tools used in the success calculation table are also applied,
including viewing, calculating reasons, etc., to help the organization establish a productive way
to obtain information, in addition, the organization of all Users can effortlessly use details that fit
and support them. In the above case, the opinion expressed has been recognized in the successful
bookkeeping sheet, expressing a full understanding of the wrongdoing. On such information, it
has performed a successful fixation direction, so it is possible to describe the meaning of the
reason for the organization.
As it is concluded from the above report that information restoration is related to the level
of wrongdoing over a 10-year period. The reason is that appropriate information is found when
using Express Insights, various pre-tools used in the success calculation table are also applied,
including viewing, calculating reasons, etc., to help the organization establish a productive way
to obtain information, in addition, the organization of all Users can effortlessly use details that fit
and support them. In the above case, the opinion expressed has been recognized in the successful
bookkeeping sheet, expressing a full understanding of the wrongdoing. On such information, it
has performed a successful fixation direction, so it is possible to describe the meaning of the
reason for the organization.

REFERENCES
Books and Journals
Cheng, J. and et.al., 2018. Industrial IoT in 5G environment towards smart
manufacturing. Journal of Industrial Information Integration, 10, pp.10-19.
Harrison, S. and Johnson, P., 2019. Challenges in the adoption of crisis crowdsourcing and social
media in Canadian emergency management. Government Information Quarterly, 36(3),
pp.501-509.
Huang, M. and et.al., 2020. An effective service-oriented networking management architecture
for 5G-enabled internet of things. Computer networks, 173, p.107208.
Leimeister, J.M., 2019. Dienstleistungsengineering und-management: Data-driven service
innovation. Springer-Verlag.
Singsa, A. and et.al., 2019. Willingness of supply chain employees to support disability
management at workplace: A case of Indonesian supply chain companies. Journal of
Computational and Theoretical Nanoscience, 16(7), pp.2982-2989.
Xu, Z. and Dukes, A., 2022. Personalization from customer data aggregation using list
price. Management Science, 68(2), pp.960-980.
Books and Journals
Cheng, J. and et.al., 2018. Industrial IoT in 5G environment towards smart
manufacturing. Journal of Industrial Information Integration, 10, pp.10-19.
Harrison, S. and Johnson, P., 2019. Challenges in the adoption of crisis crowdsourcing and social
media in Canadian emergency management. Government Information Quarterly, 36(3),
pp.501-509.
Huang, M. and et.al., 2020. An effective service-oriented networking management architecture
for 5G-enabled internet of things. Computer networks, 173, p.107208.
Leimeister, J.M., 2019. Dienstleistungsengineering und-management: Data-driven service
innovation. Springer-Verlag.
Singsa, A. and et.al., 2019. Willingness of supply chain employees to support disability
management at workplace: A case of Indonesian supply chain companies. Journal of
Computational and Theoretical Nanoscience, 16(7), pp.2982-2989.
Xu, Z. and Dukes, A., 2022. Personalization from customer data aggregation using list
price. Management Science, 68(2), pp.960-980.
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PART 2
INTRODUCTION
The given report record includes the information found, which supports the Residents
Association's information will be provided through the survey assessment, which will contain
information on 200 special school students. For pre-determined reports, re-enacted evaluation
terms are being arranged by factors tolerating frozen yogurt trends, total puzzle games and
computer game scores (Arku and et.al., 2018).
Main Body
Data enquiry
Ice cream flavor
Frequency Percent Valid Percent Cumulative
Percent
Valid
Vanilla 95 47.5 47.5 47.5
Chocolate 47 23.5 23.5 71.0
Strawberry 58 29.0 29.0 100.0
Total 200 100.0 100.0
INTRODUCTION
The given report record includes the information found, which supports the Residents
Association's information will be provided through the survey assessment, which will contain
information on 200 special school students. For pre-determined reports, re-enacted evaluation
terms are being arranged by factors tolerating frozen yogurt trends, total puzzle games and
computer game scores (Arku and et.al., 2018).
Main Body
Data enquiry
Ice cream flavor
Frequency Percent Valid Percent Cumulative
Percent
Valid
Vanilla 95 47.5 47.5 47.5
Chocolate 47 23.5 23.5 71.0
Strawberry 58 29.0 29.0 100.0
Total 200 100.0 100.0

From the information the survey even revealed at the outset, it is likely to have the option to
understand the profit of the full student pool score, i.e. 200 quite a few people who opted for the
vanilla flavour of frozen yogurt. Students who chose the vanilla flavour accounted for 47.5% of
the total number of students, accounting for about 95 of the total number of students. Another
flavour of frozen yogurt is conveyed as strawberry, which is pictured below the event of 58
students (Chen and Haziza, 2019).
Gender (Male or Female)
Frequency Percent Valid Percent Cumulative
Percent
Valid Male 91 45.5 45.5 45.5
Female 109 54.5 54.5 100.0
understand the profit of the full student pool score, i.e. 200 quite a few people who opted for the
vanilla flavour of frozen yogurt. Students who chose the vanilla flavour accounted for 47.5% of
the total number of students, accounting for about 95 of the total number of students. Another
flavour of frozen yogurt is conveyed as strawberry, which is pictured below the event of 58
students (Chen and Haziza, 2019).
Gender (Male or Female)
Frequency Percent Valid Percent Cumulative
Percent
Valid Male 91 45.5 45.5 45.5
Female 109 54.5 54.5 100.0

Total 200 100.0 100.0
After understanding the upward bar graph, it tends to check the accessibility that the general
number of students assigned to the exam is definitely 200. Then there is the part facet collection,
which has a typical male and female absolute student. It replicates the given number and likewise
checks where 91 for males and 109 for females (Malfitana and et.al., 2018).
Statistics
Ice cream Flavor
N Valid 200
Missing 0
Mean 1.82
Median 2.00
After understanding the upward bar graph, it tends to check the accessibility that the general
number of students assigned to the exam is definitely 200. Then there is the part facet collection,
which has a typical male and female absolute student. It replicates the given number and likewise
checks where 91 for males and 109 for females (Malfitana and et.al., 2018).
Statistics
Ice cream Flavor
N Valid 200
Missing 0
Mean 1.82
Median 2.00
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After evaluating the vertical measurable plain display, the average rate can be well
analysed to reach 1.82, which typically excludes all factors from the investigation. The message
sparked a discussion that quite a few students chose the strawberry flavour over chocolate. The
intermediate query above illustrates the intermediate value of the information. It is inclined to
say that different types of central values do not occur between similar connecting factors.
Outcomes and consequences
Judging from the results of the above information, it is likely that a large number of test
takers chose the vanilla flavour of frozen yogurt. By assessing the level of comprehension, it can
really be accepted that this is a roughly 200 students are assigned to the preliminary aspect. One
might say that this is almost at the level of men and women in the preliminary figures. It includes
91 males and 109 females. Among other things, it can be found that a significant number of
student applicants decide on vanilla-flavoured frozen yogurt. Classification focuses on what is
said about the experimental reviews, determining the significant quality of the information. A
given review is also known as a detached investigation (Squires and et.al., 2021).
Argument
Reflect on various reflections on shared information eviction and text evacuation
methods that can be used in an organization by persuading appropriate details. These strategies
include detailed deliberations, social occasions, instructions, and more. Different procedures
support well-reflected details for the assessment and identify useful ways to remove applicable
nuances and information. From the given situation, there are allocated 200 applicants for the
exam, who are students of the school. This acknowledges concerns about segmentation factors
and provides near-detail considerations that are important to organizational bosses (Villarreal‐
Zegarra and Bernabe‐Ortiz, 2020).
Below are several different types of benefits and errors of using SPSS and successfully
calculating tables that lead to correct useful representations and current discussions. This allows
the boss of the association to send a dynamic survey in the risk market and effectively identify
the execution based on it that can be achieved.
analysed to reach 1.82, which typically excludes all factors from the investigation. The message
sparked a discussion that quite a few students chose the strawberry flavour over chocolate. The
intermediate query above illustrates the intermediate value of the information. It is inclined to
say that different types of central values do not occur between similar connecting factors.
Outcomes and consequences
Judging from the results of the above information, it is likely that a large number of test
takers chose the vanilla flavour of frozen yogurt. By assessing the level of comprehension, it can
really be accepted that this is a roughly 200 students are assigned to the preliminary aspect. One
might say that this is almost at the level of men and women in the preliminary figures. It includes
91 males and 109 females. Among other things, it can be found that a significant number of
student applicants decide on vanilla-flavoured frozen yogurt. Classification focuses on what is
said about the experimental reviews, determining the significant quality of the information. A
given review is also known as a detached investigation (Squires and et.al., 2021).
Argument
Reflect on various reflections on shared information eviction and text evacuation
methods that can be used in an organization by persuading appropriate details. These strategies
include detailed deliberations, social occasions, instructions, and more. Different procedures
support well-reflected details for the assessment and identify useful ways to remove applicable
nuances and information. From the given situation, there are allocated 200 applicants for the
exam, who are students of the school. This acknowledges concerns about segmentation factors
and provides near-detail considerations that are important to organizational bosses (Villarreal‐
Zegarra and Bernabe‐Ortiz, 2020).
Below are several different types of benefits and errors of using SPSS and successfully
calculating tables that lead to correct useful representations and current discussions. This allows
the boss of the association to send a dynamic survey in the risk market and effectively identify
the execution based on it that can be achieved.

Merits and Demerits of using SPSS
Merits Demerits
The changes in inputs capacity can be
accomplished by utilizing SPSS.
SPSS instrument can't execute all possible
measurable interaction.
The record of information and forming
capacities are different advantage for the
utilization of SPSS.
The safe default for SPSS records is
programming points, so it's not ready to
transfer to someone who doesn't write
calculation tables.
Merits and Demerits of Excel
Merits Demerits
The definition of equations and object is
presence organized done utilization of Excel.
Nonappearance of control and wellbeing stops
in a difficult situation for utilizing Excel.
The clear testing of data and material kept by
using succeed is presence permitted by using
succeed (Wade and DeMaster, 2021).
The bookkeeping sheet programming of
succeed is vulnerable against misrepresentation
or contemptibility which is disguised beneath
one more fault for utilizing succeed.
Conclusion
As it is concluded from the above report that it Investigate there was individual
significance in choosing the flavour of frozen yogurt by understudies of the school who take
partake in the assessment was really dissect. This likewise includes in tracking down the suitable
information with regard to grasping the outcomes.
Merits Demerits
The changes in inputs capacity can be
accomplished by utilizing SPSS.
SPSS instrument can't execute all possible
measurable interaction.
The record of information and forming
capacities are different advantage for the
utilization of SPSS.
The safe default for SPSS records is
programming points, so it's not ready to
transfer to someone who doesn't write
calculation tables.
Merits and Demerits of Excel
Merits Demerits
The definition of equations and object is
presence organized done utilization of Excel.
Nonappearance of control and wellbeing stops
in a difficult situation for utilizing Excel.
The clear testing of data and material kept by
using succeed is presence permitted by using
succeed (Wade and DeMaster, 2021).
The bookkeeping sheet programming of
succeed is vulnerable against misrepresentation
or contemptibility which is disguised beneath
one more fault for utilizing succeed.
Conclusion
As it is concluded from the above report that it Investigate there was individual
significance in choosing the flavour of frozen yogurt by understudies of the school who take
partake in the assessment was really dissect. This likewise includes in tracking down the suitable
information with regard to grasping the outcomes.

References
Books and Journals
Arku, R.E. and et.al., 2018. Elevated blood pressure and household solid fuel use in
premenopausal women: Analysis of 12 Demographic and Health Surveys (DHS) from
10 countries. Environmental research, 160, pp.499-505.
Chen, S. and Haziza, D., 2019. Recent developments in dealing with item non‐response in
surveys: a critical review. International Statistical Review, 87, pp.S192-S218.
Malfitana, D. and et.al., 2018. Archaeo-geophysics surveys in Pompeii. Surveys in
Geophysics, 39(6), pp.1219-1238.
Squires, C.C. and et.al., 2021. Increasing the value and efficiency of herbicide resistance
surveys. Pest Management Science, 77(9), pp.3881-3889.
Villarreal‐Zegarra, D. and Bernabe‐Ortiz, A., 2020. Association between arterial hypertension
and depressive symptoms: Results from population‐based surveys in Peru. Asia‐Pacific
Psychiatry, 12(2), p.e12385.
Wade, P.R. and DeMaster, D.P., 2021. Determining the optimum interval for abundance surveys.
In Marine mammal survey and assessment methods (pp. 53-66). CRC Press.
Books and Journals
Arku, R.E. and et.al., 2018. Elevated blood pressure and household solid fuel use in
premenopausal women: Analysis of 12 Demographic and Health Surveys (DHS) from
10 countries. Environmental research, 160, pp.499-505.
Chen, S. and Haziza, D., 2019. Recent developments in dealing with item non‐response in
surveys: a critical review. International Statistical Review, 87, pp.S192-S218.
Malfitana, D. and et.al., 2018. Archaeo-geophysics surveys in Pompeii. Surveys in
Geophysics, 39(6), pp.1219-1238.
Squires, C.C. and et.al., 2021. Increasing the value and efficiency of herbicide resistance
surveys. Pest Management Science, 77(9), pp.3881-3889.
Villarreal‐Zegarra, D. and Bernabe‐Ortiz, A., 2020. Association between arterial hypertension
and depressive symptoms: Results from population‐based surveys in Peru. Asia‐Pacific
Psychiatry, 12(2), p.e12385.
Wade, P.R. and DeMaster, D.P., 2021. Determining the optimum interval for abundance surveys.
In Marine mammal survey and assessment methods (pp. 53-66). CRC Press.
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Appendix
Agglomeration Schedule
Stage Cluster Combined Coefficients Stage Cluster First Appears Next Stage
Cluster 1 Cluster 2 Cluster 1 Cluster 2
1 198 199 .000 0 0 2
2 2 198 .000 0 1 4
3 196 197 .000 0 0 4
4 2 196 .000 2 3 6
5 193 195 .000 0 0 6
6 2 193 .000 4 5 8
7 187 188 .000 0 0 8
8 2 187 .000 6 7 10
9 182 184 .000 0 0 10
10 2 182 .000 8 9 12
11 178 181 .000 0 0 12
12 2 178 .000 10 11 14
13 172 177 .000 0 0 14
14 2 172 .000 12 13 16
15 167 169 .000 0 0 16
16 2 167 .000 14 15 18
17 162 165 .000 0 0 18
18 2 162 .000 16 17 20
19 158 159 .000 0 0 20
20 2 158 .000 18 19 22
Agglomeration Schedule
Stage Cluster Combined Coefficients Stage Cluster First Appears Next Stage
Cluster 1 Cluster 2 Cluster 1 Cluster 2
1 198 199 .000 0 0 2
2 2 198 .000 0 1 4
3 196 197 .000 0 0 4
4 2 196 .000 2 3 6
5 193 195 .000 0 0 6
6 2 193 .000 4 5 8
7 187 188 .000 0 0 8
8 2 187 .000 6 7 10
9 182 184 .000 0 0 10
10 2 182 .000 8 9 12
11 178 181 .000 0 0 12
12 2 178 .000 10 11 14
13 172 177 .000 0 0 14
14 2 172 .000 12 13 16
15 167 169 .000 0 0 16
16 2 167 .000 14 15 18
17 162 165 .000 0 0 18
18 2 162 .000 16 17 20
19 158 159 .000 0 0 20
20 2 158 .000 18 19 22

21 156 157 .000 0 0 22
22 2 156 .000 20 21 24
23 154 155 .000 0 0 24
24 2 154 .000 22 23 26
25 148 153 .000 0 0 26
26 2 148 .000 24 25 28
27 145 147 .000 0 0 28
28 2 145 .000 26 27 30
29 143 144 .000 0 0 30
30 2 143 .000 28 29 32
31 139 140 .000 0 0 32
32 2 139 .000 30 31 34
33 137 138 .000 0 0 34
34 2 137 .000 32 33 36
35 133 134 .000 0 0 36
36 2 133 .000 34 35 38
37 128 131 .000 0 0 38
38 2 128 .000 36 37 40
39 124 127 .000 0 0 40
40 2 124 .000 38 39 42
41 122 123 .000 0 0 42
42 2 122 .000 40 41 44
43 111 116 .000 0 0 44
44 2 111 .000 42 43 46
45 105 106 .000 0 0 46
46 2 105 .000 44 45 47
47 2 97 .000 46 0 94
48 89 91 .000 0 0 49
49 5 89 .000 0 48 51
50 83 85 .000 0 0 51
51 5 83 .000 49 50 53
52 75 79 .000 0 0 53
53 5 75 .000 51 52 55
54 73 74 .000 0 0 55
55 5 73 .000 53 54 57
56 70 71 .000 0 0 57
57 5 70 .000 55 56 59
58 66 67 .000 0 0 59
59 5 66 .000 57 58 61
60 61 64 .000 0 0 61
22 2 156 .000 20 21 24
23 154 155 .000 0 0 24
24 2 154 .000 22 23 26
25 148 153 .000 0 0 26
26 2 148 .000 24 25 28
27 145 147 .000 0 0 28
28 2 145 .000 26 27 30
29 143 144 .000 0 0 30
30 2 143 .000 28 29 32
31 139 140 .000 0 0 32
32 2 139 .000 30 31 34
33 137 138 .000 0 0 34
34 2 137 .000 32 33 36
35 133 134 .000 0 0 36
36 2 133 .000 34 35 38
37 128 131 .000 0 0 38
38 2 128 .000 36 37 40
39 124 127 .000 0 0 40
40 2 124 .000 38 39 42
41 122 123 .000 0 0 42
42 2 122 .000 40 41 44
43 111 116 .000 0 0 44
44 2 111 .000 42 43 46
45 105 106 .000 0 0 46
46 2 105 .000 44 45 47
47 2 97 .000 46 0 94
48 89 91 .000 0 0 49
49 5 89 .000 0 48 51
50 83 85 .000 0 0 51
51 5 83 .000 49 50 53
52 75 79 .000 0 0 53
53 5 75 .000 51 52 55
54 73 74 .000 0 0 55
55 5 73 .000 53 54 57
56 70 71 .000 0 0 57
57 5 70 .000 55 56 59
58 66 67 .000 0 0 59
59 5 66 .000 57 58 61
60 61 64 .000 0 0 61

61 5 61 .000 59 60 63
62 59 60 .000 0 0 63
63 5 59 .000 61 62 65
64 55 58 .000 0 0 65
65 5 55 .000 63 64 67
66 53 54 .000 0 0 67
67 5 53 .000 65 66 69
68 50 51 .000 0 0 69
69 5 50 .000 67 68 71
70 48 49 .000 0 0 71
71 5 48 .000 69 70 73
72 42 43 .000 0 0 73
73 5 42 .000 71 72 75
74 40 41 .000 0 0 75
75 5 40 .000 73 74 77
76 34 37 .000 0 0 77
77 5 34 .000 75 76 79
78 28 31 .000 0 0 79
79 5 28 .000 77 78 81
80 25 26 .000 0 0 81
81 5 25 .000 79 80 83
82 22 23 .000 0 0 83
83 5 22 .000 81 82 85
84 20 21 .000 0 0 85
85 5 20 .000 83 84 87
86 12 18 .000 0 0 87
87 5 12 .000 85 86 89
88 10 11 .000 0 0 89
89 5 10 .000 87 88 91
90 8 9 .000 0 0 91
91 5 8 .000 89 90 93
92 6 7 .000 0 0 93
93 5 6 .000 91 92 94
94 2 5 1.000 47 93 0
62 59 60 .000 0 0 63
63 5 59 .000 61 62 65
64 55 58 .000 0 0 65
65 5 55 .000 63 64 67
66 53 54 .000 0 0 67
67 5 53 .000 65 66 69
68 50 51 .000 0 0 69
69 5 50 .000 67 68 71
70 48 49 .000 0 0 71
71 5 48 .000 69 70 73
72 42 43 .000 0 0 73
73 5 42 .000 71 72 75
74 40 41 .000 0 0 75
75 5 40 .000 73 74 77
76 34 37 .000 0 0 77
77 5 34 .000 75 76 79
78 28 31 .000 0 0 79
79 5 28 .000 77 78 81
80 25 26 .000 0 0 81
81 5 25 .000 79 80 83
82 22 23 .000 0 0 83
83 5 22 .000 81 82 85
84 20 21 .000 0 0 85
85 5 20 .000 83 84 87
86 12 18 .000 0 0 87
87 5 12 .000 85 86 89
88 10 11 .000 0 0 89
89 5 10 .000 87 88 91
90 8 9 .000 0 0 91
91 5 8 .000 89 90 93
92 6 7 .000 0 0 93
93 5 6 .000 91 92 94
94 2 5 1.000 47 93 0
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