MarketSight - Excel Dataset Labeling Workbook
Overview
The Excel dataset labeling workbook allows users to specify value codes and labels for their variables. If your dataset is text-based, you'll need to convert it to numeric values in order for the workbook to apply properly. If you have problems with the dataset labeling workbook, please contact Customer Service.
Export a Pre-Filled Copy of the Dataset Labeling Workbook Using Your Dataset Information
- On the Datasets or Variables page, click Export in the gray toolbar
- Choose "Labeling File"
- Download the completed workbook from the Tasks list on the right side of the application
Note: This workbook will export the definitions of any user-defined variables you've made in the application, which makes it simple to adjust multiple UDVs at once.
Use the Dataset Labeling Workbook
- Fill in the Variable Code in column A
- This column is required and should match the variable codes as seen in the first row of your dataset. If you export a pre-filled copy of the workbook as shown above, your codes will already be exact matches and you only have to edit the remaining columns as needed.
- Type in a brief Variable Name in Column B
- The variable label is what you see as the "Name" on the Variables page, as well as in your crosstabs and charts. Shorter names tend to come across well.
- If needed, fill in the Value Codes in Column C
- If the variable is discrete, list the numeric value codes here. If the variable is open-ended (i.e., an "other, please specify" question) or continuous ("How many minutes do you spend texting each day?"), leave Column C blank.
- If you entered numeric codes in Column C, enter the Labels in Column D
- Each numeric value should have a label specified in Column D. If the variable is open-ended or continuous, leave Column D blank.
- Repeat for each variable where custom labeling is needed, or where labeling should be changed.
- You can do this for all variables in your dataset, or just the ones you want.
- Optional: Enter Category, Question Text, Missing Values, or MRV Information
- A variable can belong to one category at a time, have up to three missing values, or be included in an MRV.
- Upload the file with a new dataset, or apply it to a previously uploaded dataset
To Upload a Labeling File With a New Dataset
- Go to the Datasets page
- Click New
- Browse for your dataset
- For "Dataset Labels or Metadata File," select the labeling file
- Click OK
To Apply a Labeling File to a Previously Uploaded Dataset
- Go to the Datasets page
- Right click on the dataset
- Select Properties
- For "Dataset Labels or Metadata File," select the labeling file
- Click OK