variables: 900095

This table contains all the variables of all the datasets we have at Our World In Data. Note that this includes only the information about the variables like name and default display settings, not the data itself.

Data license: CC-BY

This data as json

id name unit description createdAt updatedAt code coverage timespan datasetId sourceId shortUnit display columnOrder originalMetadata grapherConfigAdmin shortName catalogPath dimensions schemaVersion processingLevel processingLog titlePublic titleVariant attributionShort attribution descriptionShort descriptionFromProducer descriptionKey descriptionProcessing licenses license grapherConfigETL type sort dataChecksum metadataChecksum
900095 Executive corruption index (high estimate, aggregate: average)     2024-04-23 09:12:46 2024-07-25 23:13:50     1789-2023 6481     
{
    "numDecimalPlaces": 2
}
 0     corr_exec_vdem__estimate_high__aggregate_method_average grapher/democracy/2024-03-07/vdem/vdem_multi_with_regions#corr_exec_vdem__estimate_high__aggregate_method_average 
{
    "filters": [
        {
            "name": "estimate",
            "value": "high"
        },
        {
            "name": "aggregate_method",
            "value": "average"
        }
    ],
    "originalName": "Executive corruption index (high estimate, aggregate: average)",
    "originalShortName": "corr_exec_vdem"
}
 2     Executive corruption index (high estimate, aggregate: average)       Question: How routinely do members of the executive, or their agents grant favors in exchange for bribes, kickbacks, or other material inducements, and how often do they steal, embezzle, or misappropriate public funds or other state resources for personal or family use? Clarification: The point estimates for this index have been reversed such that the directionality is opposite to the input variables. That is, lower scores indicate a normatively better situation (e.g. more democratic) and higher scores a normatively worse situation (e.g. less democratic). Note that this directionality is opposite of that of other V-Dem indices, which generally run from normatively worse to better. Scale: Interval, from low to high (0-1). Indicator name: `v2x_execorr` 
[]
 The regional aggregates (including values for the World) have been estimated by averaging the country values.     
{
    "selectedEntityNames": [
        "Africa",
        "Asia",
        "Europe",
        "North America",
        "Oceania",
        "South America"
    ],
    "selectedEntityColors": {
        "asia": "#00847E",
        "africa": "#A2559C",
        "europe": "#4C6A9C",
        "oceania": "#9A5129",
        "northAmerica": "#C4523E",
        "southAmerica": "#883039"
    }
}
 float 
[]
 9e4256f1d825f5ced4d6a045519e6ef8 ec9f930126c79a839860bee43be0ddf8

Links from other tables