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.cache who daly country 2000

source /home/coolhand/html/datavis/data_trove/data/accessibility/.cache_who/daly_country_2000.xlsx#Notes 1 rows 1 columns profiled 2026-05-01 raw JSON static .html .ipynb Report Notebook

Reading

dataset summary · high confidence anthropic:claude-opus-4-7

This dataset appears to be a metadata or notes sheet from the WHO Global Health Estimates 2021 Summary Tables (June 2024). It contains only 1 row and 1 column, with the single value being a URL pointing to the WHO mortality and global health estimates portal. There is essentially no analytical content here — this looks like a header/notes tab rather than a data table. To do any meaningful analysis, you should load one of the sibling sheets in the source workbook that contains the actual DALY country estimates.

citing: row_count · column_count · columns[0].n_unique · columns[0].stats.top_value · columns[0].stats.top_rate

GLOBAL HEALTH ESTIMATES 2021 SUMMARY TABLES June 2024 World Health Organization Geneva, Switzerland · The single column has only one value (a WHO URL) appearing once, confirming this sheet holds notes rather than data.
Show data table
valuecountshare
https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates1100.0%

Schema

1 columns
Alerts
GLOBAL HEALTH ESTIMATES 2021 SUMMARY TABLES June 2024 World Health Organization Geneva, Switzerland categorical 0.0% 1
long_tail imbalance

GLOBAL HEALTH ESTIMATES 2021 SUMMARY TABLES June 2024 World Health Organization Geneva, Switzerland

categorical metadata long_tail imbalance
This isn't a real column — the header is a multi-line title block from the WHO Global Health Estimates 2021 Summary Tables (June 2024), and the single row contains the source URL. With n=1, n_unique=1, and top_rate=1.0, it carries no analytic signal and reflects a spreadsheet ingestion artifact where document metadata was parsed as a column. Treatment: Drop; re-parse the source file with a correct header row to avoid capturing the title block. high · anthropic:claude-opus-4-7
n
1
nulls
0 (0.0%)
unique
1
top_value
https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates
top_rate
1
cardinality
1
entropy
0
entropy_ratio
0