Identification and categorisation of data quality issues

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To help answer the question you must perform an exploratory analysis of the data.
Your exploratory analysis must contain the following:
1. A description of the dataset including a complete data dictionary
Identification and categorisation of data quality issues
2. Outline of any modifications or data processing accompanied by context-driven justification
3. Exploration of relationships and trends including both identification, analysis and any conclusions that can be drawn
4. Throughout your analysis you must relate your findings to the context of the problem. For example when investigating data quality issues you will need to consider how the data has been collected and by who. Such information can be found in the Volunteer Manual.
Your EDA will consist of a Jupyter Notebook, in which you will use Markdown cells to provide commentary on your EDA process.

 

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