charts: 2484

This table contains the information used by our Grapher datavisualisation tool to render charts.

The most relevant field is the config field that contains json stored as text. A JSON Schema is available that describes the content of this json data. The SQLite JSON_EXTRACT function can be used in SQL queries to extract the content of this JSON data into columns in a result table.

Data license: CC-BY

This data as json

id slug type config createdAt updatedAt lastEditedAt publishedAt lastEditedByUserId publishedByUserId isIndexable title subtitle note title_plus_variant configWithDefaults
2484 alcohol-attributable-fraction-of-mortality DiscreteBar 
{
    "id": 2484,
    "map": {
        "colorScale": {
            "baseColorScheme": "YlOrRd",
            "binningStrategy": "manual",
            "customNumericColors": [
                null,
                null,
                null,
                null,
                null
            ],
            "customNumericValues": [
                2,
                4,
                6,
                8,
                10,
                12
            ],
            "customNumericMinValue": 0
        },
        "columnSlug": "469655"
    },
    "tab": "map",
    "slug": "alcohol-attributable-fraction-of-mortality",
    "type": "DiscreteBar",
    "title": "Alcohol-attributable fraction of mortality",
    "yAxis": {
        "min": 0
    },
    "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json",
    "version": 11,
    "subtitle": "The alcohol-attributable fraction (AAF) denotes the proportion of a health outcome which is caused by alcohol (i.e. that proportion which would disappear if alcohol consumption was removed). Alcohol consumption has a causal impact on more than 200 health conditions (diseases and injuries).",
    "hasMapTab": true,
    "originUrl": "https://ourworldindata.org/alcohol-consumption",
    "dimensions": [
        {
            "display": {
                "unit": "%"
            },
            "property": "y",
            "variableId": 821976
        }
    ],
    "sourceDesc": "WHO, Global Health Observatory (GHO)",
    "isPublished": true,
    "hideTimeline": true,
    "invertColorScheme": true,
    "selectedEntityNames": [
        "Bangladesh",
        "Peru",
        "Fiji",
        "Russia",
        "United States",
        "United Kingdom",
        "Brazil",
        "France"
    ]
}
 2018-03-27 13:25:08 2024-04-08 12:13:54 2024-03-06 20:48:06 2018-03-27 13:25:08 59 14 1 Alcohol-attributable fraction of mortality The alcohol-attributable fraction (AAF) denotes the proportion of a health outcome which is caused by alcohol (i.e. that proportion which would disappear if alcohol consumption was removed). Alcohol consumption has a causal impact on more than 200 health conditions (diseases and injuries).   Alcohol-attributable fraction of mortality () 
{
    "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json",
    "map": {
        "projection": "World",
        "hideTimeline": false,
        "colorScale": {
            "baseColorScheme": "default",
            "equalSizeBins": true,
            "binningStrategy": "ckmeans",
            "customNumericColorsActive": false,
            "colorSchemeInvert": false,
            "binningStrategyBinCount": 5
        },
        "timeTolerance": 0,
        "toleranceStrategy": "closest",
        "tooltipUseCustomLabels": false,
        "time": "latest"
    },
    "maxTime": "latest",
    "baseColorScheme": "default",
    "yAxis": {
        "removePointsOutsideDomain": false,
        "scaleType": "linear",
        "canChangeScaleType": false,
        "facetDomain": "shared"
    },
    "tab": "map",
    "matchingEntitiesOnly": false,
    "hasChartTab": true,
    "hideLegend": false,
    "hideLogo": false,
    "hideTimeline": true,
    "colorScale": {
        "baseColorScheme": "default",
        "equalSizeBins": true,
        "binningStrategy": "ckmeans",
        "customNumericColorsActive": false,
        "colorSchemeInvert": false,
        "binningStrategyBinCount": 5
    },
    "scatterPointLabelStrategy": "year",
    "selectedFacetStrategy": "none",
    "isPublished": true,
    "invertColorScheme": true,
    "version": 11,
    "logo": "owid",
    "entityType": "country or region",
    "facettingLabelByYVariables": "metric",
    "addCountryMode": "add-country",
    "compareEndPointsOnly": false,
    "type": "DiscreteBar",
    "hasMapTab": true,
    "stackMode": "absolute",
    "minTime": "earliest",
    "hideAnnotationFieldsInTitle": {
        "entity": false,
        "time": false,
        "changeInPrefix": false
    },
    "xAxis": {
        "removePointsOutsideDomain": false,
        "scaleType": "linear",
        "canChangeScaleType": false,
        "facetDomain": "shared"
    },
    "hideConnectedScatterLines": false,
    "showNoDataArea": true,
    "zoomToSelection": false,
    "showYearLabels": false,
    "hideLinesOutsideTolerance": false,
    "hideTotalValueLabel": false,
    "hideScatterLabels": false,
    "sortBy": "total",
    "sortOrder": "desc",
    "hideFacetControl": true,
    "entityTypePlural": "countries",
    "missingDataStrategy": "auto",
    "id": 2484,
    "slug": "alcohol-attributable-fraction-of-mortality",
    "title": "Alcohol-attributable fraction of mortality",
    "subtitle": "The alcohol-attributable fraction (AAF) denotes the proportion of a health outcome which is caused by alcohol (i.e. that proportion which would disappear if alcohol consumption was removed). Alcohol consumption has a causal impact on more than 200 health conditions (diseases and injuries).",
    "originUrl": "https://ourworldindata.org/alcohol-consumption",
    "dimensions": [
        {
            "display": {
                "unit": "%"
            },
            "property": "y",
            "variableId": 821976
        }
    ],
    "sourceDesc": "WHO, Global Health Observatory (GHO)",
    "selectedEntityNames": [
        "Bangladesh",
        "Peru",
        "Fiji",
        "Russia",
        "United States",
        "United Kingdom",
        "Brazil",
        "France"
    ]
}

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