# Locations customers aggregated and enriched dataset 

Dataset [locations_customers_agg_enriched](dataset:locations_customers_agg_enriched) contains, for all locations,  enriched information about the customers contained in all its isochrones.

**Dataset Granularity**:  1 row = 1 distribution network location, with the detail of the count of customers included in each ***X***-min-iscochrone, their average distance to the location, and other information .

## Dataset information 
- **distance_customer_location_avg** : *Average distance of customers included in a location ***X***-min isochrone.*
- **in_isochrone_customers**: *Number of customers included in a location ***X***-min isochrone.*
- **all_isochrones_customers**: *Number of customers included in all the isochrones of a location .*
- **in_isochrone_customers_ratio**: *Proportion of customers included in a  location ***X***-min isochrone to all the customers included in all the isochrones of that location (ie : in_isochrone_customers / all_isochrones_customers ).*
- **total_dataset_customers**: *This is the total number of  customers registered in the [customers_dataset](dataset:customers_dataset).*
- **in_isochrone_customers_vs_total_dataset_customers_ratio**: *Proportion of customers included in a  location ***X***-min isochrone to all the existing customers (ie : in_isochrone_customers / total_dataset_customers ).*
- **all_isochrone_customers_vs_total_dataset_customers_ratio**: *Proportion of customers included in all the isochrones of a location to all the existing customers (ie : all_isochrones_customers / total_dataset_customers ).*


![locations_customers_agg_enriched.png](26DQsgPytEMW)

That information is then displayed in the [locations customers dashboard](dashboard:pImTHVL).