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


Due to the sensitivity and confidentiality of the data, please refer to the elearn or send us an email.