Advanced import of data

If you want to avoid selecting the data type during import of a dataset to PRJCTS you can follow the steps below.

You must define the data type that each column in the Excel file contains before you import the data.
You can review the data types in the article working with variables in Ledidi PRJCTS.
If a column contains the weight of individuals, and the column header is “Weight”, you should rename the column to float#Weight, which means that this column contains numeric data with decimals.
Here are a few examples: float#BMI, integer#Days after surgery, category#Country, date#Date of surgery, string#Comments

Introduction and getting started with PRJCTS

How to restrict access to variables containing personal data

How to assign and manage privileges of collaborators

Creating and managing data entries

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Advanced import of data

Introduction and getting started with PRJCTS

Why PRJCTS?

How to restrict access to variables containing personal data

How to assign and manage privileges of collaborators

Working with variables

Creating and managing data entries