Configuring data type in Self-service Data Collection
Users can now configure data types while ingesting data in Unit Record Level data collection. This enables a wider variety of data to be ingested into your impact datasets in the Seer Data Platform, and more easily analysed.
Data configuration types:
String:
Used for text-based data that should be treated as plain text rather than numbers. Example: “Project Status” (e.g., “In Progress”, “Completed”) or “Region” (e.g., “North”, “South”).
Number:
Used for numerical values that can be used in calculations (e.g., summed, averaged). Example: “Funding Amount” (e.g., 50000), “Participants Engaged” (e.g., 120), or “Satisfaction Score” (e.g., 4.5).
List:
Used when a column contains multiple values separated by a specific character or delimiter (e.g., a comma). Example: “Apples, Oranges, Bananas”.
This ensures your uploaded file is processed correctly, especially if it contains list data types (e.g., survey data with multi-select options).
View our Knowledge Base article on Configuring Data Types here.
Configuring data type in Self-service Data Collection
Users can now configure data types while ingesting data in Unit Record Level data collection. This enables a wider variety of data to be ingested into your impact datasets in the Seer Data Platform, and more easily analysed.
Data configuration types:
String:
Used for text-based data that should be treated as plain text rather than numbers. Example: “Project Status” (e.g., “In Progress”, “Completed”) or “Region” (e.g., “North”, “South”).
Number:
Used for numerical values that can be used in calculations (e.g., summed, averaged). Example: “Funding Amount” (e.g., 50000), “Participants Engaged” (e.g., 120), or “Satisfaction Score” (e.g., 4.5).
List:
Used when a column contains multiple values separated by a specific character or delimiter (e.g., a comma). Example: “Apples, Oranges, Bananas”.
This ensures your uploaded file is processed correctly, especially if it contains list data types (e.g., survey data with multi-select options).
View our Knowledge Base article on Configuring Data Types here.
