Flexible CSV Importer
- Version 1.5
- Added 12 Jun 2015
- Updated 22 Jun 2019
- Downloads 188
- Requires version 5.0.0
- View Source
Click "Download Plugin" then click Open or Run to install
Takes a CSV file and creates people, adds facts and creates spouse and parent-child relationships in Family Historian. Columns in the CSV file can be mapped to the appropriate fields using an interface in the plugin - fixed column formatting or naming is not required.
The plugin can optionally append a source to every entry, and can create different citation details (i.e. "Where in Source") for each line of the CSV. Within each row, for each individual, it is assumed that any references to a fact type relate to the same occurrence of that fact. Custom references can be used to identify the same individual in different rows of the CSV either to build a more complex tree or to allow for multiple occurrences of a fact type.
The type of use intended when creating this was import of a variety of data that a one-name or place study might be interested in. For example, baptism transcripts which may include birth and baptism names, parents names and address all in the one line. Custom references allow for individuals to be linked across lines of the CSV to create larger family records, e.g. where the same parents had multiple children baptised.
This plugin is intended for use in a new Project, and will not link to individuals already present in the database.
Please check the import results carefully and report any bugs in the FHUG Plugin Discussions Forum.
Version 1.5 has better CSV syntax checks, more Source Citation options, a Help page and new dialogues.
Version 1.4 fixes a bug in mapping note fields.
Version 1.3 fixes a bug that sometimes occurs when creating families using custom references.
Version 1.2 adds option to discard Custom References, and fixes bug where they are listed multiple times.
Version 1.1 will append to, rather than overwrite, duplicated note fields and citation text fields. It also creates new facts instead of overwriting data if an individual has the same field type listed in multiple rows of the data.
Rating: Not Rated