Report: Data Visualization and Interpretation of Student Work

This report provides an evaluation of data visualization and interpretation techniques used in student work, specifically focusing on a poster presentation. It assesses the effectiveness of communication methods, the choice of data visualization tools like charts, graphs, and infographics, and critiques the student's poster for its clarity, completeness, and adherence to data visualization principles. The report highlights the importance of using appropriate graphs and charts to present large datasets effectively and suggests improvements for future data presentations, emphasizing the need for informative visuals and a balance between theoretical information and graphical representation. The report concludes that while data visualization is a powerful tool, its effectiveness relies on proper implementation and clear communication of insights.

DATA VISUALISATION
AND INTERPRETATION

Table of Contents
INTRODUCTION...........................................................................................................................3
MAIN BODY..................................................................................................................................3
Evaluation of method of communication of data........................................................................3
Evaluation of effectiveness of data visualization choice.............................................................3
Evaluation of student work..........................................................................................................4
CONCLUSION................................................................................................................................6
REFERENCES................................................................................................................................1

INTRODUCTION
Data visualisation can be defined as a presentation of data in the graphical or the pictorial
format. This is an important method and form of presentation under which with the use of
various method i.e. graphs, charts and others the data will be presented to the decision maker
(Khalid and Zeebaree, 2021). Data visualization is one of the most effective way through which
the data can be presented in terms of use of graphs and charts so that the big data can be
understood in an easy manner. This report will discuss the effectiveness of method or choices of
data visualization along with an evaluation of work of other student.
MAIN BODY
Evaluation of method of communication of data
There are various methods through which the data will be communicated. As
communication of data effectively helps the concerned personnel in taking adequate decision so
it is important to choose the most appropriate form of communication mode. As per the given
context of survey the communication of data can be effectively made with the help of graphs and
charts in the poster. Since the data contain the response of large number of responded so it is
important that the data need to be present in the form of graph and charts for better and effective
understanding. This can further be justified with the data visualization theory which said that in
order to present the data the graphs and charts need to be used (Healy, 2018). However, in the
present scenario wherein the data of 1010 responded are presented there is a lack of graphs and
charts. In the same way in order to communicate the large proportion of data it is important that
the graphs and charts will be used so that the complex information will be presented and
communicate in the easy and effective manner. In addition of this as the given scenario also
focus towards the aspect of training so it is important that the collected data from questionnaire
need to be presented through question wise details and response in the mode of graph and chart.
This will lead to raise the understanding of data and the identification of purpose of the research.
Evaluation of effectiveness of data visualization choice
There are various methods through which the data can be visualized and presented. These may
include:
Charts and graphs:

This is the most common choice through which the data can be represented. Under this
method the graphs with an inclusion of symbol are used so that the large proportion of data can
be understood in an effective manner. This is an important form of data presentation because it
details out the big data in short and easy form (Desimoni and Po, 2020). However, it is not able
to present the qualitative data.
Tables:
As per this method the data will be arranged in the form of table that detail out the trends
and under this form the data will be arranged with a use of tabular view. The table can also be
known as tabular grid or data table. This is a useful method of data presentation because with the
help of table the numeric facts and figures will be presented but here it persists a limitation in
terms of non-representation of qualitative information.
Infographics:
As per this method a set of elements including graphs and narratives are used for the
presentation of data. It can also be termed as chart under which details are presented with
informative charts and graphs (Greenacre, 2018). This is one of the best form of data
presentation because it delivers the information in the most presentable form.
From the above it can be right to evaluate that there are various choices through which the
data can be presented and visualised. However, out of various choices the data can be made
presented in the form of infographics so that the features of information as well as graphs and
charts will be included (Anouncia, Gohel and Vairamuthu, 2020). With the use of infographic
and poster the data can be presented in the most effective and informative manner. This will also
lead to raise the understanding of big data in an easy and effective manner. However, it lacks one
aspect of non-representation of qualitative data which may lead to difficulty in the understanding
of concepts and research topic.
Evaluation of student work
While making an analysis of the data which is presented by student it was analysed that the
poster lacks various aspects in many ways. As the poster was made in terms of presenting the
data of survey and only two graphs were used in order to present the data is highly critiqued.
This is because the conduction of survey and presentation of its results can only be made with
the help of tables and graphs which is missing in the poster. This is the major drawback of the

concerned work. Since the survey was conducted with an inclusion of questionnaire so it is
important that adequate tables and graphs in relation with the responded answer must be
presented in the poster. Charts and graphs are the most important form of data presentation
which helps in presenting the numeric facts and figures and in the present poster too for the
presentation of data of survey the charts and graphs plays an important role.
In the same way the pie chart and the graph which is presented on the poster also contain
lack of information and details which itself become an important loophole. This is because the
pie chart which denoted various alphabets and colours does not depict its meaning in the graph
itself. Likewise, the graph which is presented on the poster also contain the lack of information.
As the meaning of data visualization is to present the data in the form of visually informative
graphs and charts which will is absent in the presented poster of the student. In the same way as
the poster contain large proportion of theoretical information with an inclusion of only 2 graphs
is also critiqued because the meaning of data presentation and visualisation will be justified only
when the information will be presented through the mode of graph and charts. This is not present
in case of the presented poster. Likewise, a well-defined use of informative pie charts and the
line graph is also missing in the concerned case which is another drawback of the poster. In the
same way as the poster has been made for specific purpose i.e. identification of training need
which has not been made with in the current context. This is because with the poster does not
visualise the response of the concerned responded in an informative way thus counted as its
major critiques.
Likewise, as the data contained in the survey include a large sample size i.e. 1010 and in
order to present the results of the survey there is a high need of graphs and charts so that the data
will be presented in a detailed and appropriate manner. Likewise, another aspect which can be
counted as wrong is the type of questions which are asked to the responded. This means as the
type of question present that the data is of qualitative in nature so its results would be difficult to
present in terms of graphs and charts. This is also a major lacking point in relation with the
concerned poster. As the theory of data visualisation said that it is the process under which visual
elements like graphs, charts as well as other elements are used for the presentation of data (Lee
and et.al., 2020). Thus, it can be right to evaluate that the presented poster does not meet and
comply the theory of data visualization. This is because here the data lacks graphs and charts
which would have a major impact towards its presentation and data analysis. Thus, in short it can

be right to said that while evaluating the poster it was observed that the collected data is
presented with the help of only one pie chart and one graph with the unclear information. In the
same way there is a presence of more theoretical data rather than informative graphs and charts.
This would be counted as major drawback of the poster. Thus, in order to make improvisation it
is important that more graph and charts based on the response of the responded need to be
included so that the information can be presented in more effective and understandable manner
(Evergreen, 2019). This practice will also lead to the compliance of data visualization theory.
CONCLUSION
From the above report it can be concluded that data visualization is an important tool and
technique which helps in the understanding of data through an inclusion of graph and charts.
This is highly useful in case of presentation of large size of data. The report also summarizes the
evaluation of poster which lack various points in terms of lack of graphs and charts which is the
base and important element of the data visualization.

REFERENCES
Books and journals
Anouncia, S.M., Gohel, H.A. and Vairamuthu, S., 2020. Data Visualization. Springer Verlag,
Singapore.
Desimoni, F. and Po, L., 2020. Empirical evaluation of linked data visualization tools. Future
Generation Computer Systems. 112. pp.258-282.
Evergreen, S.D., 2019. Effective data visualization: The right chart for the right data. SAGE
publications.
Greenacre, M., 2018. Data visualization.
Healy, K., 2018. Data visualization: a practical introduction. Princeton University Press.
Khalid, Z.M. and Zeebaree, S.R., 2021. Big data analysis for data visualization: A
review. International Journal of Science and Business. 5(2). pp.64-75.
Lee, and et.al., 2020. Reaching broader audiences with data visualization. IEEE Computer
Graphics and Applications. 40(2). pp.82-90.
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