MATH513 - Big Data and Social Network Visualization

Assignment Task

Your Task

Your group has been assigned a dataset, available on the MATH513 DLE, containing data extracted from Twitter (now called “X”). You need to perform a full analysis of the twitter dataset, drawing useful and informative conclusions from your outputs. Your analyses should include a range of suitable data visualization techniques and appropriate sentiment analysis. In your presentation, you also need to discuss the t-test, explaining whether it would be appropriate for your Twitter dataset, motivating your answer (your answer will also depend on your specific dataset!).

If a t-test is appropriate, you should apply it to your data and present the results clearly, together with brief justification of its use. Your presentation should include a short critical discussion about what stakeholders can learn from your analyses, together with some strategic suggestions.

As an example, your discussion could include whether reactions to new products indicate that they have been well received. You should prepare slides for your presentation using R Markdown. Please remember to build up your R Markdown presentation step by step, adding a small amount of code at a time. If you include in your R Markdown file a large amount of code, it probably will not work.

Your presentation should report your findings in a well structured and coherent way that is suitable for a general audience. Your presentation should not exceed fifteen slides, including references. Presentations exceeding the slides limit will be penalized. This slide limit should not be considered as a target! Considerable credit will be given to concise, well designed and constructed presentations.

Note 1: You are welcome to use/adapt the code of Practical 6 that we studied in class. However, please, note that your dataset might not contain the same/all the variables of the datasets that we analysed in class. Therefore, you might not be able to implement the same/all the analyses that we have seen.

Note 2: The slides of your presentation should show the main output and major findings of your analysis. Please, do not include the code in your slides. You might include a limited part of your code, if this is essential for the presentation of specific results.

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