Comments (6)
This NYC Cab data set looks promising: http://www.nyc.gov/html/tlc/html/about/trip_record_data.shtml
from koober.
Cool. And I realized we don't really need the driver data for predicting demand, just the "request" or pickup data.
from koober.
I'm making a sample of 2015 NYC Cab data set as the original data set is way too large for development. We can use the full data set to train the model once the whole pipeline is complete.
from koober.
The sample is a 0.1% of the random sample with 1388068 entries from 2015 yellow cab dataset.
Here is the HDS5 version of the same data. You can use deepdish to load the data as a Pandas DataFrame.
from koober.
Fixed by #4
from koober.
https://s3-us-west-2.amazonaws.com/4740/yellow_tripdata_2015_further_sample.csv.zip
sample of 10000 lines of taxi data 2015
from koober.
Related Issues (7)
- PredictionIO to Predict Demand HOT 1
- Weather Data HOT 2
- Data Visualization HOT 1
- Data Pipeline that Sends Ride Events to PredictionIO HOT 1
- can't run from master HOT 2
- Data Loader Improvements HOT 4
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from koober.