memilio
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Optimize the creation of the world object from statistical data
Currently, there is an ABM example which creates a world object from statistical data and furthermore creates some work/school places and some other places.
We want to extend this workflow and have a more precise distinction of the input of the data, the creation of the places and the assignment of the people. There needs to be a clear distinction:
- Data Gathering and Cleaning
- Creating the places from data
- Assigning persons to each place
related to #382
We have data about this but we need something like a builder , doing this for panvadere, this is justa build_world(n_persons) -> world is build and persons assigned to german statistical data.