Application of Number: Interpreting and Presenting Data Assignment

This assignment solution focuses on data presentation methods, specifically for an Access to HE Diploma in Health Professions. The task involves analyzing unemployment data from three European countries, including the UK, and presenting it in an understandable format. The solution chooses and justifies two data presentation methods: tabular and diagrammatic. It explains the appropriateness and effectiveness of each method for the intended audience. The solution also correctly employs axes, scales, and conversions for one presentation method. It further justifies the choice of statistical presentation techniques and explains how well they meet the needs of the audience. The report concludes that effective data presentation is crucial for efficient data understanding, utilizing tabular and diagrammatic methods to analyze information and meet the audience's needs. References to relevant books and journals are also included.

Application of Number
- Interpreting and
Presenting Information

Contents
INTRODUCTION...........................................................................................................................3
TASK...............................................................................................................................................3
Choose two methods of presentation for the data, explain why these are appropriate and how
effective they will be for the audience.........................................................................................3
For one presentation method employ axis, scales and conversions correctly.............................3
Justify your choice of the two statistical presentations techniques and explain how well they
have met the needs of the audience.............................................................................................4
CONCLUSION................................................................................................................................4
REFERENCES................................................................................................................................5

INTRODUCTION
Data presentation is referred as the process to represent data is attractive manner through
using different graphical formats to visually represent the relationship between two or more data
sets so, effective and appropriate decisions are taken on the basis of these information. In this
report methods of data representation and their effectiveness.
TASK
Choose two methods of presentation for the data, explain why these are appropriate and how
effective they will be for the audience
Methods of data presentation: There are various methods of presenting data in effective manner
such as textual, tabular as well as diagrammatic (Chatha, and Bretz, 2020). Methods of data
presentation are discussed below:
Tabular method of data presentation: Tabular data presentation is an effective device to
present statistical data in simple form. Tabulation is the first step for representing data before
using it in analysis. In this method data column, rows as well as chart and tables are used to
represent data.
Appropriateness and effective of method: Tabular methods are appropriate to present
statistical data in appropriate manner that is easily understand by audience as well as save time to
simplify data in proper manner. It avoids complexity of textual data presentation.
Diagrammatic data presentation: In diagrammatic data presentation and analysis number of
diagrams, charts and pictures are used in order to make presentation more attractive. It is used in
educated as well as uneducated sections for society (Dawson, 2019). There are various diagrams
are included such as line diagram, histogram, bar diagram and pie chart.
Appropriateness and effective of methods: If different diagrams and charts are used in
data facilitates audience to gain deep meaning of content within shot time.
For one presentation method employ axis, scales and conversions correctly
Exis of tabular data representation: In tabular data representation two axis are included
such as horizontal as well as vertical axis that help to understand data effectively.
Scale of data presentation: Scale measurement is very important part of data collection, its
analysis as well as present it in effective manner. There are various variables such as nominal,
ordinal, discrete and continuous scales that help to present data is effective manner.

Conversion: Conversion facilitates the audience to convert their data or content into
valuable as well as productive information in order to gain various goals and objectives.
Justify your choice of the two statistical presentations techniques and explain how well they have
met the needs of the audience
Tabular data representation: Tabular data representation are the techniques that are used in
present statistical data in effective and attractive manner. As tabular data is easily understandable
by audience, it facilitates them to compare data of different statistics (Hanvey, 2018). Proper
representation saves efforts and time of audience to understand data in efficient manner.
Diagrammatic data representation: As diagrams plays important role in statistical data
presentation. Diagrams simplifies the data and content to make it easy as well as understandable
for audiences. Diagrammatic data representation facilitates audience to grasp content quickly and
reveal various hidden facts (LaBonte and Kilpatrick, 2017). It is accepted in every field such as
business, economy and administration and make it easy for audience to compare different data
effectively.
CONCLUSION
As per above report, it can be concluded that effective data presentation in necessary to
understand data more efficiently. Tabular as well as diagrammatic method are used to analyse
information. The respective methods meet all needs of audience by properly analysing data.

REFERENCES
Books and Journals
Chatha, C. J. and Bretz, S. L., 2020. Adapting interactive interview tasks to remote data
collection: Human subjects research that requires annotations and manipulations of
chemical structures during the COVID-19 pandemic. Journal of Chemical
Education. 97(11). pp.4196-4201.
Dawson, A., 2019. A practical guide to performance improvement: data collection and
analysis. AORN journal. 109(5). pp.621-631.
Hanvey, C., 2018. Data Collection Methods. In Wage and Hour Law (pp. 19-46). Springer,
Cham.
LaBonte, A. M. and Kilpatrick, H. J., 2017. A state and provincial survey of harvest reporting
and data collection methods. Human Dimensions of Wildlife. 22(2). pp.189-195.