DAT7002 Data Analysis Report: Data Visualization and Interpretation

This report focuses on the effective presentation of data outcomes, emphasizing the importance of clear communication through various visual aids such as graphs and charts. It discusses how data visualization techniques are crucial for conveying information in a way that audiences can easily understand, highlighting the role of companies in using these techniques. The report covers different types of graphs and charts, data analysis software, and the significance of matching content with visual representations to avoid misinterpretations. It also references a book on graphical methods for data analysis. The assignment brief outlines the requirements for a data visualization and interpretation assignment, including evaluating visualization methods, applying tools, understanding audience needs, and presenting findings effectively, with a focus on storytelling.

Data Analysis
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Table of Contents
TASK...............................................................................................................................................3
REFERENCES................................................................................................................................4
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TASK
It is important to present outcomes of data in proper way so that audience can understand it
easily. In order to do so there are many ways through which data is communicated that is either
power point, report, poster, etc. It includes graphs, charts, etc. by which it is easy to visualise
data findings. The main purpose of communicating results is to provide information to people
regarding study or research conducted. However, if data is not communicated properly it makes
it difficult for audience to understand outcomes (Chambers, 2017). Data visualisation is a way of
representing data through use of graphics, maps, etc. By this change in trends, patterns of data
can be identified. In present times companies are highly using data visualisation techniques. It
has enabled in doing effective communication. While communicating data, there are many ways
of presenting it as well. It depends on data type, visual technique, etc. to select. In addition to it,
the content of outcomes must also be correctly written. It should match with graph, chart, table,
etc. otherwise it will result in mismatch of analysis with content. Thus, outcomes will not be
communicated with proper content. In data visualisation there are different types of graphs and
charts used. So, outcomes can be easily communicated with help of it. Apart from it, data
analysis should also be done correctly which will provide appropriate results. It requires various
software where data is analyzed. Hence, data can be tailored after analysis.
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REFERENCES
Books and journals
Chambers, J.M., 2017. Graphical methods for data analysis: 0. Chapman and Hall/CRC.
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