Individual Report: Data Analysis of Facebook Revenue and Active Users

This report presents an analysis of the relationship between Facebook's revenue and the number of active users. The research utilizes quantitative data, collected from secondary sources, to explore this relationship. The methodology includes a conceptual and analytical approach, employing quantitative techniques such as central values, deviation, and variance analysis. The report details the data collection process, data appropriateness, and the analytical methods applied, including regression analysis. It also addresses issues encountered during the research, such as communication barriers, and suggests potential improvements for future studies. The findings are summarized, highlighting the key insights derived from the analysis of Facebook's financial performance and user engagement.

DATA ANALYSIS TOOLS
AND APPLICATION

TABLE OF CONTENT
 INTRODUCTION
 MAIN BODY
 METHODOLOGY AND OWN CONTRIBUTION
 SOURCE OF DATA
 APPROPRIATENESS OF THE DATA
 ISSUES FACED AND WHAT CAN BE DONE DIFFERENTLY IN FUTURE
 CONCLUSION
 REFERENCES

INTRODUCTION
Data analysis is being defined as the evaluation of the data in order to evaluate it and draw
inferences from the same.
For solving any of the problem the use of data is being done in order to analyse and solve it for
evaluating the issue and try to find appropriate solution.
The current research is based on the analysis of relation between revenue of Facebook and the
number of active users being present.

METHODOLOGY AND OWN CONTRIBUTION
 For the purpose of the project quantitative data has been used Facebook plc (Alsharif, Albreem,
Solyman, 2021)
 Research philosophy:
The research philosophy of the research has been conceptual and analytical in nature since for the
project quantitative data had been used.
 Approach of research:
The approach of the research was quantitative. The gathered data about the organization are
quantitative in nature where number of active users and due to their activities the generated revenues
were taken into consideration
 Data collection :
it refers to the process of gathering data for fulfilment of the project, here the data of Facebook plc has
been gathered by using secondary sources.

CONTINUED…
 Data analysis:
In the research data has been analysed using quantitative techniques.
(Bolander, Chaker, 2021)
 The self contribution in the research is phenomenon. In the
research I strived to present views on the organizational
performance.
 with this regard quantitative data are used and sort of
quantitative techniques such as central values of the data,
evaluation of deviation and variance.

SOURCE OF DATA
 The data used in the research is collected using secondary
sources of data.
 Secondary sources are used to collect the data. For Facebook
plc their active users who are currently using the online
services provided by the organization and the revenue
generated from the customers are considered. (Bokhove,
2022)

APPROPRIATENESS OF THE DATA
 In a research the authenticity of collected data is very prominent since the final outcomes are
also depended on it.
 If the data is collected form the sources which are lacking when it comes to their
authenticity then the final outcomes will be misleading (Cr, 2020)
 In any research project considering ethical norms is one of the most prominent act for
research.

Analysis performed
No. of active user Revenue generated
Mean 2320.8 56.16
Standard Error 159.2624877 10.38424769
Median 2320 55.8
Mode #N/A #N/A
Standard Deviation 356.1217488 23.21988372
Sample Variance 126822.7 539.163
Kurtosis -0.317743179 -1.291967283
Skewness 0.079798548 0.088310985
Range 937 58.4
Minimum 1860 27.6
Maximum 2797 86
Sum 11604 280.8
Count 5 5

CONTINUED
Regression Statistics
Multiple R 0.99504
R Square 0.9901
Adjusted R Square 0.9868
Standard Error 2.66798
Observations 5
ANOVA
df SS MS F
Significance
F
Regression 1 2135.3 2135.3 299.981 0.00042
Residual 3 21.3543 7.11811
Total 4 2156.65
Coefficie
nts
Standa
rd
Error t Stat P-value
Lower
95%
Upper
95%
Lower
95.0%
Upper
95.0%
Intercept -94.41 8.77494 -10.759 0.00172 -122.34 -66.484 -122.34 -66.484
No. of active user 0.06488 0.00375 17.32 0.00042 0.05296 0.0768 0.05296 0.0768

ISSUES FACED AND WHAT CAN BE
DONE DIFFERENTLY IN FUTURE
 In the research there were a few issues were faced, since the research was in depth
so on the way some sort of roadblocks is already expected.
 Major issues as lack of confidence and sometimes poor communication too.
 While working on the project due to some communicational barriers it became a
bit more hectic work,
 which can be considered the biggest issue we faced yet some counter techniques
were used in order to reduce the malicious affects of miscommunication.

CONCLUSION
 From the report above it can be summarized, in the report research has been carried out, with
this respect the data of Facebook plc were collected by using authentic sources.
 The secondary sources of data were used where generated revenues by the organization and
their active customer had been collected.
 The report presented entire research to the fullest length covering various dimensions such as
research methodology where different perspectives such as data types, philosophy, data
collection, data analysis were covered, it was also substantiated with owns contribution in the
research too.

REFERENCES
 Alsharif, M. H., Albreem, M. A., Solyman, A. A. 2021. Toward 6g communication networks:
terahertz frequency challenges and open research issues. Computers, Materials & Continua. 66(3).
pp.2831-2842. < https://www.researchgate.net/profile/Mahmoud-Albreem-2/publication/
348204464_Toward_6G_Communication_Networks_Terahertz_Frequency_Challenges_and_Open
_Research_Issues/links/6049a5e2299bf1f5d83d9b2e/Toward-6G-Communication-Networks-
Terahertz-Frequency-Challenges-and-Open-Research-Issues.pdf >
 Bokhove, C., 2022. The role of analytical variability in secondary data replications: A replication
of Kim et al.(2014). Educational Research and Evaluation. 27(1-2). pp.141-163.
<https://www.tandfonline.com/doi/full/10.1080/13803611.2021.2022319>