Data Visualization and Interpretation Report: Analysis using SPSS

This report provides an analysis of a student's data visualization and interpretation skills, focusing on an assessment of a peer's presentation on email usage in an academic setting. The report critiques the presentation's strengths, such as the use of graphs and charts, and identifies areas for improvement, including the need for better structure, the inclusion of pie charts, and improved formatting. The report assesses the use of SPSS for data analysis, highlighting the effective use of descriptive statistics, labeling, and interpretation of graphs. It also evaluates the recommendations provided and suggests improvements to the conclusion and synthesis. The student provides a detailed review of the strengths and weaknesses of the presentation, offering suggestions for enhancing the visual appeal and clarity of the data representation. The report also focuses on the peer's methodology, data representation and analysis techniques. The report concludes with recommendations for enhancing the presentation and overall data visualization process.

Data Visualization and
Interpretation (SPSS)

Table of Contents
INTRODUCTION...........................................................................................................................3
First Impression of Presentation..................................................................................................3
CONCLUSION................................................................................................................................5
REFERENCES................................................................................................................................6

INTRODUCTION
Here, a similar poster was created by my peer of same data to obtain outcomes. The mate
try to create presentation in effective way but still there are many changes which can help in
proper representation such as he forgot to mention Table of content, Structure can be done in
much better way etc. There are multiple benefits of representing data in visualize form such as it
decrease time of viewer in understanding information. Graphical, oral talks etc. gives proper
analyssis (Qin and et.al., 2020). However, making this in proper structure as well as right content
matters more so that it can create impact on people. It can be seen that people take less interest
when data is in continuous form but when some pictures associated with then it easily gets his
attention and that's visualization use by number of people in present times. As per the opinion of
Healy (2018), there are number of tools has been launched by different organization in order to
make impassive information presenting in front of people as well as it decrease time of people.
Most of the firm in present era mainly focused on using PPT, Poster etc. in meetings, training &
development programs etc. which reduce their time and positively impact in increasing
knowledge related topic. Communication, Information Technology etc. are launched by firm in
order to improve presentation skills which impact on professional growth of employees (Bikakis,
2018).
First Impression of Presentation
Presentation of a person is in impressive and it has cover various areas such as it divide
parts into theme which gives better understanding related to topic and positively impact on
people that comes to view. It will help other people which are focusing on this field to take this
data and show facts as well as figure associated with it. There are number of changes can be
done by mate to make it effective such as using image in the beginning with title which attract
people in better way. Visualization is more focused by the mate such as number pie charts,
graphs etc. used which can easily be understood and also highlights various area associated with
it. In Part there are some mistakes which can easily be seen that aim, objective, rationale etc. are
not clearly observable which decrease quality of work and it will affect overall structure of
poster. 3-D diagrams is missing which describe data in better way and hence 2-D graphical
representation are not much good in the poster (Caldarola and Rinaldi, 2017). Methodology
process was defined in block diagrams and giving better impression related to information and
positively impact on growth of a person. Topic was related to email use in academic setting but

mate fail to show any picture related to it and more focused on graphical representation it which
decreased quality of work and people take very less interest associated with it. It can be done in
better way if a structure followed by the person such as in first page image, title, Table of content
General overview, Abstract etc. which help in creating understanding for the audience. Graphical
representation has a heavy form of data and very less describe about it in the poster as well as
presentation and hence person made various minor mistakes which will create positive impact of
information and impact on viewers. It can also be seen from the presentation that references are
missing which are necessary to show authenticity of work and there will be no mean of this data
without it. In Part 2 person only concentrated towards graphs, charts etc. and less content might
be created misunderstanding (Börner, Bueckle and Ginda, 2019). The data in second part is
totally unstructured which can effect on number of areas and it looks like accounting or finance
information. In the end conclusion as well as recommendation has to be done by including more
info related to topic.
By analyzing the poster I found 252 said in e mail training there is lack of human
interaction, 183 said damage of message, etc. So, human interaction is drawback in it. Also, 829
said message sent is high in last years, etc. Moreover 310 said they receive 11-20 message per
day. Besides, 867 said volume of e mail has increased. Moreover, it is evaluated that 412 people
said that time wasted is mail that are duplicated. Hence, e mail training has not benefited staff.
They are not getting proper training. It is found that there are many areas where it is found that
all things are explained in detailed (Atherton, 2021). Here, it is stated that in analyzing of data
the peer has used relevant test and graphs. Also, the tables and charts used to describe answer of
each question is divided into theme and also it is highlighted in bold to make things easy and get
it done in proper way. Besides that, another area in which it is well mentioned is figures where
all data is given specific number and percentage. So, with that it has become easy to analyse
what each table and chart shows and then result is interpreted. Moreover, presentation of data has
been mentioned in effective way b which it is simple to understand what it shows.
Furthermore, it is found that descriptive stats are shown and explained in proper way making
things easy and getting it done in proper way. Hence, statistics are structured in systematic way
that enable in showing outcomes easily. Also, in graphs the labelling is done effective way.
Besides that , interpretation of each graph is done in front of it and in precise way. The outcomes
are discussed in percentage and in numbers. In addition, different types of graphs and tables are

used in it in order to describe stats and results of it. Also, it is found that area is use of colors in
highlighted part of graphs to show outcomes. Here, both light and dark colors are used which
clearly shows what are outcomes. The area which is presented in attractive way is
recommendation part. Here a table is formed in which certain recommendations are clearly
specified in it. This allows in finding out what is concluded from outcomes. There is proper use
of arrows in it by which interpretation and analysis can be done. Also, it is found that 364 staff
said they like to change e mail use but 637 said no. Besides there, is no relationship in change of
behaviour of staff in use of e mail. So, specific type of training is e mail and it benefit employers.
There is need of face to face and video training for employees.
But on contrary I evaluated that there are certain area as well which require further
improvement in it (Kemp, and White, 2021). The first is there is no use of space in between
graphs and text. The text written is very close to graph so it is difficult to find out that which
interpretation represent what graph or table is. Furthermore, the font size is very small of text due
to it becomes difficult to read. Along with that, image and size of graph and table is small.
Hence, this is not making poster presentation effective. Also, there is no pie chart used in it as
each graph is in table or chart format. Moreover, there is no use of different colors in charts and
graphs in it. So, use of common color does not make poster attractive. There is also require to
find out mean, mode, median, etc. of frequency data. The use of descriptive analysis is to find
out mean, mode. By that it becomes easy to analyse and interpret data. It will show what average
number of participants said for each question.
The peer have not used excel to make graphs and charts. Hence, it is not looking
attractive. Thus, tables used in it are not related to describing of outcomes. The area identified in
it is conclusion and recommendation made is in table form. So, it is difficult to understand what
is concluded from it and recommendations given. The colours used in table is very bright so text
written in it is not understood. This is weakness of presentation. The synthesis part of poster is
not done in proper way. It has enabled not getting exact info and analysis of data and info. It has
only done in form of percentage and in table. There is no comparison being done in it of data by
which it becomes easy to evaluate data and info. It can also be seen from the presentation that
references are missing which are necessary to show authenticity of work and there will be no
mean of this data without it (Willman, 2021). In Part 1 person only concentrated towards graphs,
charts etc. and less content might be created misunderstanding. The data in part 2 is totally

unstructured which can effect on number of areas and it looks like accounting or finance
information. In the end conclusion as well as recommendation has to be done by including more
info related to topic.
CONCLUSION
Thus, from analysis it has been concluded that however, there are several areas which
require improvement in poster presentation. First is that it require pie charts to be used so it
poster can be made more attractive. The use of large size graphs and tables will make it attractive
and it will enable in understanding outcome in efficient way. Apart from that, part 1 can be
improved by using various styles graphs and tables. This will help in making poster attractive
and also easier to understand results of data in effective way. Alongside, the table used in it must
be of different types. The data included in it must be segregated and separated so that in
percentage and in figures data is shown properly. In future there should not be use of more tables
and graphs in it so that poster is not so complicated. The themes for each table and chart must be
represented in such a way that it looks attractive. Thus, by making all these changes in
presentation it will for him to improve poster in future. To improve conclusion and
recommendations must be given in general way or bullet point. It will make it easier to
understand overall poster in it. Each point in synthesis must be evaluated by which it becomes
easy to find out what changes are to be done in use of e mail.

REFERENCES
Books and Journals
Atherton, R., 2021. “Missing/Unspecified”: Demographic Data Visualization During the
COVID-19 Pandemic. Journal of Business and Technical Communication, 35(1), pp.80-
87.
Bikakis, N., 2018. Big data visualization tools. arXiv preprint arXiv:1801.08336.
Börner, K., Bueckle, A. and Ginda, M., 2019. Data visualization literacy: Definitions, conceptual
frameworks, exercises, and assessments. Proceedings of the National Academy of
Sciences.116.(6).pp.1857-1864.
Caldarola, E.G. and Rinaldi, A.M., 2017. Big Data Visualization Tools: A Survey. Research
Gate.
Healy, K., 2018. Data visualization: a practical introduction. Princeton University Press.
Kemp, G. and White, G., 2021. Marketing Data Visualization. In Google Data Studio for
Beginners (pp. 51-58). Apress, Berkeley, CA.
Qin, X., Luo, Y., Tang, N. and Li, G., 2020. Making data visualization more efficient and
effective: A survey. The VLDB Journal.29.(1).pp.93-117.
Veidenberg, A. and Löytynoja, A., 2021. Evolutionary Sequence Analysis and Visualization
with Wasabi. In Multiple Sequence Alignment (pp. 225-240). Humana, New York, NY.
Willman, J., 2021. Data Visualization and Analysis. In Modern PyQt (pp. 73-123). Apress,
Berkeley, CA.
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