Datasets:
File size: 598 Bytes
0444858 6bbddc6 0444858 6bbddc6 | 1 2 3 4 5 6 7 8 9 10 11 12 | import pandas as pd
repo = "Chainticks/labor-demand-index"
latest = pd.read_csv(f"https://huggingface.co/datasets/{repo}/resolve/main/LATEST_DATE.txt", header=None).iloc[0, 0]
# The combined index: where automatable work is in demand AND hard to fill.
url = f"https://huggingface.co/datasets/{repo}/resolve/main/labor_pressure_index/date={latest}/part-0000.parquet"
df = pd.read_parquet(url)
print(df.sort_values("labor_pressure_score_0_1", ascending=False)[
["role_family", "geo", "labor_pressure_score_0_1", "blended_vacancy_hire_ratio", "stale_share_30d", "salary_mid_median"]
].head(10))
|