Tourism supply chain data
- Citation Author(s):
-
Junfei Chu
- Submitted by:
- Junfei Chu
- Last updated:
- DOI:
- 10.21227/674f-4v45
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Abstract
Both the original and processed 2019 datasets share the same column structure, with similar data fields. However, there are differences in data formatting and units:
Shared Columns
- Area (Unnamed: 0): Geographic region names.
- X1: Fixed assets in the hospitality industry.
- Unnamed: 2: Number of employees in hospitality.
- Z1: Rooms provided for rent.
- M1: Revenue from accommodation services.
- X2: Fixed assets in the travel agency industry.
- Unnamed: 6: Employees in travel agencies.
- Z2: Tourists handled by travel agencies.
- M2: Revenue from travel agencies.
- X3: Number of scenic spots.
- Unnamed: 10: Employees in scenic spots.
- Y: Revenue from scenic spots.
- Unnamed: 12: Tourists received.
- C: Average room price.
Instructions:
Both the original and processed 2019 datasets share the same column structure, with similar data fields. However, there are differences in data formatting and units:
Shared Columns
- Area (Unnamed: 0): Geographic region names.
- X1: Fixed assets in the hospitality industry.
- Unnamed: 2: Number of employees in hospitality.
- Z1: Rooms provided for rent.
- M1: Revenue from accommodation services.
- X2: Fixed assets in the travel agency industry.
- Unnamed: 6: Employees in travel agencies.
- Z2: Tourists handled by travel agencies.
- M2: Revenue from travel agencies.
- X3: Number of scenic spots.
- Unnamed: 10: Employees in scenic spots.
- Y: Revenue from scenic spots.
- Unnamed: 12: Tourists received.
- C: Average room price.
Use the dataset for my postgraduate paper