Maximum Project Findings

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Data Cleaning


The pre-survey dataset had 1,455 records, and the post-survey dataset had 414 records. On merging, we only had 292 records where the pre- and post- surveys were both done by the respondents.

We also conducted the following cleaning procedures:

  • Irrelevant and Duplicate Fields: Removed from our dataset.
  • Missing Data: Removed from our data set, null values were replaced with 0s to facilitate our analysis.
  • Rectifying Discrepancies: Ensured data from pre- and post- survey were in comparable formats.
  • Data Transformation: Transformed categorical data into numerical data for the Likert data analysis.
  • Standardisation: Standardised name conventions for the variables in the merged data.

Data Exploration