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The current raw data is spread across three Excel files. Each has a main table of individual survey responses, but each with a slightly different set of columns, and a slightly different way of representing the response values.
It'd be great to convert those spreadsheets into a more standardized (and CSV-formatted) dataset, where all respondents and responses are represented in the same way.
In terms of structure: Although we might want to ultimately aim for a more "tidy" approach, I think a good first direction would be to keep the same general principle as the raw spreadsheets: One row per respondent, with columns representing the survey instance (respondent ID, date given, platform) as well as the question responses.
One thing to keep track of: Which data-points are not available in all three spreadsheets? How do we want to represent them (if at all) in the standardized file?
The text was updated successfully, but these errors were encountered:
The current raw data is spread across three Excel files. Each has a main table of individual survey responses, but each with a slightly different set of columns, and a slightly different way of representing the response values.
It'd be great to convert those spreadsheets into a more standardized (and CSV-formatted) dataset, where all respondents and responses are represented in the same way.
In terms of structure: Although we might want to ultimately aim for a more "tidy" approach, I think a good first direction would be to keep the same general principle as the raw spreadsheets: One row per respondent, with columns representing the survey instance (respondent ID, date given, platform) as well as the question responses.
One thing to keep track of: Which data-points are not available in all three spreadsheets? How do we want to represent them (if at all) in the standardized file?
The text was updated successfully, but these errors were encountered: