Dataset Sources
Most SALT analyses require a dataset. SALT datasets are provided in one of three ways:
- Existing datasets
- Uploaded datasets
- Datasets provided by WebAssign questions
Each dataset is a table of values for selected variables.
Variable Types
Variables can be one of two types:
CategoricalQualitative values that are used to organize or categorize data.
Examples include diagnostic codes, dates, or names of things or people.
NumericalQuantitative values that are used as the basis for numerical analyses.
Examples include measurements, prices, or counts of things.
Before uploading, please make sure your file follows these guidelines:
- Use columns to organize variables. The first row should contain the variable names for each column.
- Organize all the entries for a variable under a single column. Don’t split them into multiple columns.
- Each variable should be given a name they can be referred to in SALT.
- Make sure there are no stray characters in cells that should be empty.
- The first row should not include text in any cells that don’t have data below them. This will result in variables without any data.
- If a variable’s data entries include a mix of numbers and letters, start the entries with a letter rather than a number. This rule does not apply to variable names.
- Don’t use more than one tab on your CSV file.
Format dates in Excel as
MonthDateYear.For example:
Date
Low
Second
5/18/2000
2
9
5/17/2000
21
22
5/16/2000
3
10
To upload local files, go to statistics.cengage.com.
Click Upload CSV and select the dataset type to upload for analysis.
Click Upload. Select the local file you want to upload.
A pop-up titled Select Variables opens.
Select up to twenty variables to use in your analysis.
Click Select to finish set-up.
You can switch to other tabs to begin analysis. You can also click Add Row to edit the imported set further.
To provide feedback on SALT documentation, please contact your Cengage representative.