Assessment Tasks
The aim of this Visualisation Project Plan is to help you formulate a brief to structure your proposed visualisation project and to perform an exploratory analysis of your data. It is important preliminary work which will form a frame work for your final submission. The suggested format for your Project Plan is as follows.
1.Introduction (2 marks):
Present the context for the proposed visualisation and the main question(s) you hope to be able to answer using visualisations.
2.Data Sources (5 marks): Describe the data source(s) that you plan on using for your visualisation project, where it comes from, how it was collected, its size, number and type of variables etc. The data source(s) you choose should be large and rich enough to allow for visual presentation of data features from multiple perspectives and at different levels of complexity.
3.Project Plan (8 marks):
Outline and justify the approach you propose to take in building your visualisations, including concepts and techniques covered in this course.
Propose some elementary, intermediate and overall level questions that may be addressed using your chosen data set(s). Describe the theoretical framework you will use in your project. Identify the scope of the proposed visualisation project and possible problems that may occur along the way.
4.Data Preparation (5 marks):
Perform and provide a summary of any data preparation tasks that are required before you embark on building your data visualisations,
HYPERLINK “https://lo.unisa.edu.au/pluginfile.php/2196076/mod_page/content/21/INFS%205116%20-%20Assignment%201%20LS%202.pdf?time=1552867393986” \l “page=1” \o “Page 1” Data Visualisation Visualisation Project Plan Assessment Tasks The aim of this Visualisation Project Plan is to help you formulate a brief to structure your proposed visualisation project and to perform an exploratory analysis of your data. It is important preliminary work which will form a frame work for your final submission. The suggested format for your Project Plan is as follows. 1.Introduction (2 marks): Present the context for the proposed visualisation and the main question(s) you hope to be able to answer using visualisations. 2.Data Sources (5 marks): Describe the data source(s) that you plan on using for your visualisation project, where it comes from, how it was collected, its size, number and type of variables etc. The data source(s) you choose should be large and rich enough to allow for visual presentation of data features from multiple perspectives and at different levels of complexity. 3.Project Plan (8 marks): Outline and justify the approach you propose to take in building your visualisations, including concepts and techniques covered in this course. Propose some elementary, intermediate and overall level questions that may be addressed using your chosen data set(s). Describe the theoretical framework you will use in your project. Identify the scope of the proposed visualisation project and possible problems that may occur along the way. 4.Data Preparation (5 marks): Perform and provide a summary of any data preparation tasks that are required before you embark on building your data visualisations, e.g. joining of files and identifying data problems (missing values or data errors). 5.Exploratory Data Analysis(8 marks): Present results of preliminary exploration of your data, which can include descriptive statistics and graphs aimed at helping you to get to know…
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