Chapter 11 Dictionary and Terminology
TLC hosts tons of data points, and it is not always clear what’s what. You will spend a substantial amount of time figuring out different codes, terms, and abbreviations. This section should make it a little easier and serve as an introductory data dictionary for you.
## Warning: package 'knitr' was built under R version 4.1.2| Term | Description |
|---|---|
| General | |
| Camis Id | Unique identifier in Camis_Entity table |
| Tpep | Yellow Taxis |
| Lpep | Green Cabs |
| HVFHV | High Volume companies (Uber, Lyft) |
| FHV (Traditional) | Liveries, Black cars, Limos |
| Medallions | Yellow Taxis |
| SHL | Green Cabs |
| WAV | Wheelchair Accessible Vehicle |
| AAR | Access-A-Ride |
| EHAIL | Yellow Taxis dispatched through an app |
| Company Codes | |
| HV0002 | JUNO |
| HV0003 | UBER |
| HV0004 | VIA |
| HV0005 | LYFT |
| Financial | |
| Farebox |
|
| Congestion Surcharge |
|
| MTA Tax |
|
| Improvement Surcharge |
|
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