Establishing the robustness of data

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Reference no: EM133696827

Applied Business Analytics and Data Visualisation

In your data analysis and exploration you will justify that there is a problem in the business. This can be done by (i) establishing the robustness of data for your stated objectives, (ii) identifying recency, completeness, consistency and accuracy of data, (iii) using strategies to deal with dirty data or to supplement the current data source/s with additional data, and (iv) performing data analysis through the introduced visualisation tool in the lab, to discuss and back up your project objectives.

Predictive modelling

In this part of the assignment, you need to use the same (or different dataset) that you used in the previous part of the assignment to design a simple predictive model using BigML. (i) Apply a decision tree model on your data for prediction purposes and then, report the decision tree results.

Proposed structure
• Introduction
• Assumptions and motivation
• Visual exploration of dataset
• Data and visual analysis
• Predictive modelling
• Conclusion and analysis of prediction results

Reference no: EM133696827

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