task_categories:time-series-forecasting annotations_creators:machine-generated language_creators:machine-generated multilinguality:monolingual size_categories:1K<n<10K source_datasets:original language:en license:cc-by-4.0 trains railroads train railroad toy region:us
---
annotations_creators:
- machine-generated
language:
- en
language_creators:
- machine-generated
license:
- cc-by-4.0
multilinguality:
- monolingual
pretty_name: Fake Railroad Company
size_categories:
- 1K<n<10K
source_datasets:
- original
tags:
- trains
- railroads
- train
- railroad
- toy
task_categories:
- time-series-forecasting
task_ids: []
---
# fake_railroad_company
This is toy data I created about an imaginary railroad company.

# V1
This is the first version of the data that I generated.

# V2
I tweaked some of the weights I used to calculate the satisfaction score.

# V3
Some customers are now power users who ride more often than other users.

# V4
Customers with children are more likely to be members



