Data Analysis of Mc Donald's Profit and Revenue from 2009-2021

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This presentation analyzes the profit and revenue of Mc Donald's from 2009-2021 using statistical techniques and auto sum features. It includes graphs and charts for representation. The data shows the performance of Mc Donald's over the period of 13 years. The presentation concludes with the analysis and interpretation of all the tools used for converting the data.
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A1 MS EXCEL TASK
Mc Donald’s
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TABLE OF CONTENTS
Brief description of the data
Raw Data
Data Manipulation
Representation
Conclusion
References
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BRIEF DESCRIPTION OF THE DATA
Data analysis is about processing of the raw data as well as transforming it into the information which will
be used for decision making.
This presentation the raw data is regarding the profit and revenue of Mc Donald’s in millions from the year
2009-2021.
This data will show the performance of Mc Donald’s over the period of 13 years.
Further the presentation will show the manipulation of the data which gives it a meaning. For manipulation
various statistical techniques as well as auto sum feature has been used.
After the manipulation of data, the presentation will show the graphs and charts as well as which are based
on the statistical analysis as well as the auto sum feature.
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RAW DATA PRESENTATION
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STATISTICAL TECHNIQUES
10480.76923076
9210621
Statistical Techniques for profit of the Mc
Donald's
Mean Mode Median
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STATISTICAL TECHNIQUES
24219.076923
0769
24075
Statistical Techniques for revenue of the Mc
Donald's
Mean Mode Median
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DATA MANIPULATION
$136,250
$10,481
$13
$12,580
$8,792
Auto Sum Features for profit of the Mc
Donald's
Sum Average Count Maximum Minimum
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DATA MANIPULATION
$314,8
48
$24,21
9
$13
$28,10
6 $19,208
Auto Sum Features for revenue of the Mc
Donald's
Sum Average Count Maximum Minimum
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DATA MANIPULATION
2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021
0.00%
1.00%
2.00%
3.00%
4.00%
5.00%
6.00%
7.00%
8.00%
9.00%
10.00%
6.45%
7.07%
7.84% 7.94% 8.00% 7.67%
7.18% 7.49% 7.80% 7.95% 8.20%
7.16%
9.23%
Percentage of Profit Earned by Mc Donald's from 2009-2021
Years
Percentage
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DATA MANIPULATION
2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021
0.00%
1.00%
2.00%
3.00%
4.00%
5.00%
6.00%
7.00%
8.00%
9.00%
10.00%
7.22%
7.65%
8.58% 8.76% 8.93% 8.72%
8.07% 7.82%
7.25%
6.75% 6.79%
6.10%
7.38%
Percentage of Revenue of Mc Donald's from 2009-2021
Years
Percentage of revenue
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REPRESENTATION
2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021
$0
$2,000
$4,000
$6,000
$8,000
$10,000
$12,000
$14,000
$8,792
$9,637
$10,687 $10,816 $10,903
$10,456
$9,789 $10,205 $10,621 $10,833 $11,179
$9,752
$12,580
Profit earned by Mc Donald's from 2009-2021
Years
Amount of Profit Earned
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REPRESENTATION
2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021
$0
$5,000
$10,000
$15,000
$20,000
$25,000
$30,000
$22,745
$24,075
$27,006 $27,567 $28,106 $27,441
$25,413 $24,622
$22,820
$21,258 $21,364
$19,208
$23,223
Revenue earned by Mc Donald's from 2009-2021
Years
Revenue in Millions
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CONCLUSION
It is concluded from the information and analysis that Mc Donald’s was facing various
fluctuation in their profit as well as revenue. But it improved after year 2020.
The presentation also concluded various statistical measurement tools & auto sum feature.
This presentation has also shown various graphs as well as chart of the data.
It also states the analysis and interpretation of all the tools used for converting the data.
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REFERENCES
Scherbaum, C. and Shockley, K., 2019. Basic components of quantitative data analysis. Analysing
quantitative data for business and management students, pp.19-40.
Fabián, Z., 2021. Mean, mode or median? The score mean. Communications in Statistics-Theory and
Methods. 50(10). pp.2360-2370.
George, D. and Mallery, P., 2018. Descriptive statistics. In IBM SPSS Statistics 25 Step by Step (pp. 126-
134). Routledge.
Mendenhall, W., Beaver, R.J. and Beaver, B.M., 2020. Introduction to Probability and Statistics. Cengage.
Brahmia, Z., Hamrouni, H. and Bouaziz, R., 2020. XML data manipulation in conventional and temporal
XML databases: A survey. Computer Science Review. 36. p.100231.
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