Tourism supply chain data

Citation Author(s):
Junfei
Chu
Submitted by:
Junfei Chu
Last updated:
Sat, 12/28/2024 - 00:16
DOI:
10.21227/674f-4v45
License:
0
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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.