charts: 2248

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
2248 literacy-rate-source-type LineChart 
{
    "id": 2248,
    "map": {
        "colorScale": {
            "baseColorScheme": "BuGn",
            "binningStrategy": "manual",
            "customCategoryColors": {
                "Survey": "#ce8ebd",
                "Indirect": "#3360a9",
                "National estimates": "#3360a9"
            },
            "customCategoryLabels": {
                "Survey": "Survey",
                "No data": "Undetermined by source",
                "Population census": "Census",
                "National estimates": "Indirect"
            },
            "customNumericMinValue": 0,
            "customNumericColorsActive": true
        },
        "columnSlug": "85665",
        "timeTolerance": 50
    },
    "tab": "map",
    "slug": "literacy-rate-source-type",
    "title": "Data instruments used to estimate literacy",
    "yAxis": {
        "max": 0,
        "min": 0
    },
    "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json",
    "version": 30,
    "subtitle": "This figure illustrates the type of sources that countries use to estimate literacy rates. The three categories include censuses (e.g. national population censuses), surveys (e.g. Demographic and Health Surveys), and indirect inference (e.g. extrapolation from educational attainment data).",
    "hasMapTab": true,
    "originUrl": "https://ourworldindata.org/literacy",
    "dimensions": [
        {
            "property": "y",
            "variableId": 85665
        }
    ],
    "hasChartTab": false,
    "isPublished": true
}
 2018-02-20 14:47:35 2024-04-08 12:13:54 2022-04-25 15:27:04 2018-02-20 15:16:17 54 19 1 Data instruments used to estimate literacy This figure illustrates the type of sources that countries use to estimate literacy rates. The three categories include censuses (e.g. national population censuses), surveys (e.g. Demographic and Health Surveys), and indirect inference (e.g. extrapolation from educational attainment data).   Data instruments used to estimate literacy () 
{
    "$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": false,
    "hideLegend": false,
    "hideLogo": false,
    "hideTimeline": false,
    "colorScale": {
        "baseColorScheme": "default",
        "equalSizeBins": true,
        "binningStrategy": "ckmeans",
        "customNumericColorsActive": false,
        "colorSchemeInvert": false,
        "binningStrategyBinCount": 5
    },
    "scatterPointLabelStrategy": "year",
    "selectedFacetStrategy": "none",
    "isPublished": true,
    "invertColorScheme": false,
    "version": 30,
    "logo": "owid",
    "entityType": "country or region",
    "facettingLabelByYVariables": "metric",
    "addCountryMode": "add-country",
    "compareEndPointsOnly": false,
    "type": "LineChart",
    "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": 2248,
    "slug": "literacy-rate-source-type",
    "title": "Data instruments used to estimate literacy",
    "subtitle": "This figure illustrates the type of sources that countries use to estimate literacy rates. The three categories include censuses (e.g. national population censuses), surveys (e.g. Demographic and Health Surveys), and indirect inference (e.g. extrapolation from educational attainment data).",
    "originUrl": "https://ourworldindata.org/literacy",
    "dimensions": [
        {
            "property": "y",
            "variableId": 85665
        }
    ]
}

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