Table 1.
Shows the collected data.
Table 2.
Name and number of cities in each category.
Fig 1.
Data preprocessing flow chart.
Table 3.
K-means clustering results and related positions.
Table 4.
The proportion of job demand in each city.
Fig 2.
Salary structure chart of various cities.
K stands for one thousand RMB, the proportion of different salary stages in different city categories.
Fig 3.
The proportion of vacancies in all categories.
Fig 4.
Comparison of requirements for undergraduate and junior college degrees of various positions.
Fig 5.
Different proportions of experience requirements for various positions.
The proportion of three experience requirements in different job categories.
Fig 6.
The proportion of urban demand and the average salary for each job category.
The share of the demand for each job category in each city and the average salary of each job category are calculated based on the RMB income.