# 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




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_creators": ["machine-generated"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["time-series-forecasting"], "task_ids": [], "pretty_name": "Fake Railroad Company", "tags": ["trains", "railroads", "train", "railroad", "toy"]}
TAGS
#task_categories-time-series-forecasting #annotations_creators-machine-generated #language_creators-machine-generated #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-cc-by-4.0 #trains #railroads #train #railroad #toy #region-us 

# 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




# 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
TAGS
#task_categories-time-series-forecasting #annotations_creators-machine-generated #language_creators-machine-generated #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-cc-by-4.0 #trains #railroads #train #railroad #toy #region-us 
 # 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
passage: TAGS
#task_categories-time-series-forecasting #annotations_creators-machine-generated #language_creators-machine-generated #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-cc-by-4.0 #trains #railroads #train #railroad #toy #region-us 
# 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