* * This dataset includes the data described below and broken down by region * *
The dataset is taken from the crossing of the tables:
— PS_LibreAcces_Personne_activite_202109280919
— PS_LibreAcces_Dipl_AutExercise _202109280919
— PS_LibreAcces_SavoirFaire_202109280919
— Portors_CPS_CPF_202109281210
— Extraction_Correspondance_MSSante_202109290726
the SLA Health Yearbook.
With INSEE spatial data:
— Community2020
— Department2020
— Region2020
. t-geo-com by AtlasSanté.
The department and the region were found via the common structural code. If no common code is given, the 1st common code of the postal code entered will be crossed with the department and region reference codes (column CCOM_ENDR). Finally, some common codes may not have any correspondence in the INSEE reference system. In this case, the postal code is used for the connection to the county and region benchmarks (column CCOM_CP_ENDR).
If there is no linked structure, no geographical connection is possible. Data not geographically linked shall be stored in the dataset “00_vides...”.
The cross-section between the 5 SLA tables was carried out in a comprehensive manner: If a professional has more than one degree or more, then there will be as many lines as a diploma multiplied by the number of additional qualifications.
The cross-section between the 5 SLA tables has been made from the PS_LibreAcces_Personne_activite table with the other 4 tables in left-hand joinery or JOIN on the FIANT_PP.
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