.cache who daly country 2019
Reading
This dataset is essentially a single-row metadata note from the WHO Global Health Estimates 2021 summary tables (June 2024), extracted from the 'Notes' sheet of the DALY country-level workbook. It contains just one column and one value — a URL pointing to the WHO mortality and global health estimates portal. There is no analytical content here to chart or model; the file is a pointer/citation rather than a data table. The first thing to do is open a different sheet in the source workbook to find the actual estimates, since this Notes tab carries no observations.
citing: row_count · column_count · columns[0].n · columns[0].n_unique · columns[0].stats.top_value · columns[0].stats.top_rate · source
Charts the summary said to look at first
Show data table
| value | count | share |
|---|---|---|
| https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates | 1 | 100.0% |
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 imbalanceThis isn't a real column — the header is the WHO Global Health Estimates 2021 cover text and the single row holds a source URL. With n=1 and cardinality=1 (top_rate=1.0), there is nothing to model here; it's document metadata that leaked into the table. Treatment: Drop from the analytic frame; retain the URL separately as data provenance.
- 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