Introduction
- Good data organization is the foundation of any research project.
Formatting data tables in Spreadsheets
- Never modify your raw data. Always make a copy before making any changes.
- Keep track of all of the steps you take to clean your data in a plain text file.
- Organize your data according to tidy data principles.
Formatting problems
- Avoid using multiple tables within one spreadsheet.
- Avoid spreading data across multiple tabs.
- Record zeros as zeros.
- Use an appropriate null value to record missing data.
- Don’t use formatting to convey information or to make your spreadsheet look pretty.
- Place comments in a separate column.
- Record units in column headers.
- Include only one piece of information in a cell.
- Avoid spaces, numbers and special characters in column headers.
- Avoid special characters in your data.
- Record metadata in a separate plain text file.
Dates as data
- Treating dates as multiple pieces of data rather than one makes them easier to handle.
Quality control
- Always copy your original spreadsheet file and work with a copy so you don’t affect the raw data.
- Use data validation to prevent accidentally entering invalid data.
- Use sorting to check for invalid data.
- Use conditional formatting (cautiously) to check for invalid data.
Exporting data
- Data stored in common spreadsheet formats will often not be read correctly into data analysis software, introducing errors into your data.
- Exporting data from spreadsheets to formats like CSV or TSV puts it in a format that can be used consistently by most programs.