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- Download data from Baker and Taylor
- Add the following the columns to the data:
- resort: a boolean column that indicates whether the library is a resort library.
- metro: a boolean column that indicates whether library is part of metro report. [DO WE NEED THIS ANYMORE?]
- popu_lsa: LSA population is obtained from [FEDS?]
- codename: the old LRS unique identifier for each library. We now use fscskey for managing libraries, however, the challenge tool still uses codename.
- Set the values of columns in #2 to “-1” (-1, without the quotes).
- resort, metro, and codename will be populated based on previous year’s data.
- popu_lsa will be populated based on most recent IMLS data.
- Match questions to codes
- The B&T spreadsheet has question numbers as column headers, so we need to match them to IMLS/LRS variables.
- The survey usually doesn’t change much from year-to-year, so the best place to start is to copy over the question->variable matches from the previous year’s spreadsheet.
- Go through each question and ensure that the variable is correct. Keep a paper copy!
- For new questions, create common sense variable names using ONLY letters and underscores. E.g.
- Total number of coffee shops = coffee_shops
- Coffee shops per capita = coffee_shops_per_capita
- Upload data to Tool @ https://www.lrs.org/public/data/tools