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"{\"$schema\": \"https://vega.github.io/schema/vega-lite/v5.json\", \"description\": \"Names of countries imperfectly matched. US vs USA for example\", \"title\": {\"text\": \"World Map\", \"subtitle\": [\"GDP per capita\", \"\"], \"subtitleFontStyle\": \"italic\", \"subtitleFontSize\": 10, \"anchor\": \"middle\", \"color\": \"black\"}, \"config\": {\"background\": \"white\", \"view\": {\"stroke\": \"transparent\"}}, \"width\": 600, \"height\": 300, \"data\": {\"url\": \"https://unpkg.com/world-atlas@1.1.4/world/110m.json\", \"format\": {\"type\": \"topojson\", \"feature\": \"countries\"}}, \"transform\": [{\"calculate\": \"parseInt(datum.id)\", \"as\": \"id_N\"}, {\"lookup\": \"id_N\", \"from\": {\"key\": \"id\", \"fields\": [\"alpha3\", \"name\"], \"data\": {\"url\": \"https://raw.githubusercontent.com/RDeconomist/RDeconomist.github.io/main/charts/maps/dataWorldCountryNamesIDs.json\"}}}, {\"lookup\": \"alpha3\", \"from\": {\"key\": \"country2\", \"fields\": [\"BCA\", \"NGDPDPC\"], \"data\": {\"url\": \"https://raw.githubusercontent.com/RDeconomist/RDeconomist.github.io/main/charts/maps/dataWEOallWideCountryCodes.csv\"}}}], \"projection\": {\"type\": \"naturalEarth1\"}, \"mark\": {\"type\": \"geoshape\", \"stroke\": \"white\", \"strokeWidth\": 0.1}, \"encoding\": {\"tooltip\": [{\"field\": \"name\", \"title\": \"Country\"}, {\"field\": \"NGDPDPC\", \"title\": \"GDP per capita\", \"type\": \"quantitative\", \"format\": \"$,.0f\"}], \"color\": {\"field\": \"NGDPDPC\", \"title\": \"US Dollars\", \"type\": \"quantitative\", \"scale\": {\"scheme\": \"turbo\", \"domain\": [0, 80000]}, \"legend\": {\"orient\": \"bottom\", \"direction\": \"horizontal\"}}}}"
"{\"$schema\": \"https://vega.github.io/schema/vega-lite/v5.json\", \"description\": \"Names of countries imperfectly matched. US vs USA for example\", \"title\": {\"text\": \"World Map\", \"subtitle\": [\"Matching problem 2\", \"\"], \"subtitleFontStyle\": \"italic\", \"subtitleFontSize\": 10, \"anchor\": \"middle\", \"color\": \"black\"}, \"config\": {\"background\": \"white\", \"view\": {\"stroke\": \"transparent\"}}, \"width\": 600, \"height\": 300, \"data\": {\"url\": \"https://unpkg.com/world-atlas@1.1.4/world/110m.json\", \"format\": {\"type\": \"topojson\", \"feature\": \"countries\"}}, \"transform\": [{\"calculate\": \"parseInt(datum.id)\", \"as\": \"id_N\"}, {\"lookup\": \"id_N\", \"from\": {\"key\": \"id\", \"fields\": [\"name\"], \"data\": {\"url\": \"https://raw.githubusercontent.com/RDeconomist/RDeconomist.github.io/main/charts/maps/dataWorldCountryNamesIDs.json\"}}}, {\"lookup\": \"name\", \"from\": {\"key\": \"Country\", \"fields\": [\"BCA\", \"NGDPDPC\"], \"data\": {\"url\": \"https://raw.githubusercontent.com/RDeconomist/RDeconomist.github.io/main/charts/maps/dataWEOallWide.csv\"}}}], \"projection\": {\"type\": \"naturalEarth1\"}, \"mark\": {\"type\": \"geoshape\", \"stroke\": \"white\", \"strokeWidth\": 0.1}, \"encoding\": {\"tooltip\": {\"field\": \"name\"}, \"color\": {\"field\": \"NGDPDPC\", \"type\": \"quantitative\", \"scale\": {\"scheme\": \"inferno\"}, \"legend\": {\"orient\": \"bottom\", \"direction\": \"horizontal\"}}}}"
"{\"$schema\": \"https://vega.github.io/schema/vega-lite/v5.json\", \"title\": {\"text\": \"World Map\", \"subtitle\": [\"Matching problem 1\", \"\"], \"subtitleFontStyle\": \"italic\", \"subtitleFontSize\": 10, \"anchor\": \"middle\", \"color\": \"black\"}, \"config\": {\"background\": \"white\", \"view\": {\"stroke\": \"transparent\"}}, \"width\": 600, \"height\": 300, \"data\": {\"url\": \"https://unpkg.com/world-atlas@1.1.4/world/110m.json\", \"format\": {\"type\": \"topojson\", \"feature\": \"countries\"}}, \"transform\": [{\"lookup\": \"id\", \"from\": {\"key\": \"id\", \"fields\": [\"name\"], \"data\": {\"url\": \"https://raw.githubusercontent.com/RDeconomist/RDeconomist.github.io/main/charts/maps/dataWorldCountryNamesIDs.json\"}}}], \"projection\": {\"type\": \"naturalEarth1\"}, \"mark\": {\"type\": \"geoshape\", \"stroke\": \"white\", \"strokeWidth\": 0.1}, \"encoding\": {\"tooltip\": {\"field\": \"name\"}, \"color\": {\"condition\": {\"test\": \"datum['name'] === null\", \"value\": \"rgb(255, 255, 255)\"}, \"field\": \"name\", \"scale\": {\"scheme\": \"oranges\"}, \"legend\": null}}}"
"{\"$schema\": \"https://vega.github.io/schema/vega-lite/v5.json\", \"width\": 500, \"height\": 400, \"description\": \"Bike hire station data from TfL open data api. Uses Vega-lite example data for London borough geojson and to overlay shortened borough names. Filter transform used to only show relevant inner London boroughs. Using Santander red.\", \"title\": {\"text\": \"Inner London cycle hire\", \"fontSize\": 12, \"subtitle\": [\"Santander bike docking stations. Source: TfL, 2021\", \"\"], \"subtitleFontStyle\": \"italic\", \"subtitleFontSize\": 10, \"anchor\": \"middle\"}, \"config\": {\"view\": {\"stroke\": \"transparent\"}}, \"layer\": [{\"data\": {\"url\": \"https://raw.githubusercontent.com/vega/vega/main/docs/data/londonBoroughs.json\", \"format\": {\"type\": \"topojson\", \"feature\": \"boroughs\"}}, \"transform\": [{\"filter\": {\"field\": \"id\", \"oneOf\": [\"Camden\", \"Greenwich\", \"Hackney\", \"Hammersmith and Fulham\", \"Islington\", \"Kensington and Chelsea\", \"Lambeth\", \"Lewisham\", \"Southwark\", \"Tower Hamlets\", \"Wandsworth\", \"Westminster\", \"Newham\", \"City of London\"]}}], \"mark\": {\"type\": \"geoshape\", \"stroke\": \"white\", \"strokeWidth\": 2}, \"encoding\": {\"color\": {\"value\": \"#eee\"}}}, {\"data\": {\"url\": \"https://raw.githubusercontent.com/vega/vega/main/docs/data/londonCentroids.json\", \"format\": {\"type\": \"json\"}}, \"transform\": [{\"filter\": {\"field\": \"name\", \"oneOf\": [\"Camden\", \"Greenwich\", \"Hackney\", \"Hammersmith and Fulham\", \"Islington\", \"Kensington and Chelsea\", \"Lambeth\", \"Lewisham\", \"Southwark\", \"Tower Hamlets\", \"Wandsworth\", \"Westminster\", \"Newham\", \"City of London\"]}}, {\"calculate\": \"indexof (datum.name,' ') > 0 ? substring(datum.name,0,indexof(datum.name, ' ')) : datum.name\", \"as\": \"bLabel\"}], \"mark\": \"text\", \"encoding\": {\"longitude\": {\"field\": \"cx\", \"type\": \"quantitative\"}, \"latitude\": {\"field\": \"cy\", \"type\": \"quantitative\"}, \"text\": {\"field\": \"bLabel\", \"type\": \"nominal\"}, \"size\": {\"value\": 8}, \"opacity\": {\"value\": 0.6}}}, {\"data\": {\"url\": \"https://api.tfl.gov.uk/BikePoint/\", \"format\": {\"type\": \"json\", \"property\": \"features\"}}, \"projection\": {\"type\": \"mercator\"}, \"mark\": \"circle\", \"encoding\": {\"longitude\": {\"field\": \"lon\", \"type\": \"quantitative\"}, \"latitude\": {\"field\": \"lat\", \"type\": \"quantitative\"}, \"size\": {\"value\": 6}, \"color\": {\"value\": \"#EA1D25\"}, \"tooltip\": {\"field\": \"commonName\"}}}]}"
"{\"$schema\": \"https://vega.github.io/schema/vega-lite/v5.json\", \"width\": 500, \"height\": 400, \"description\": \"All crimes reported in Westminster Local Area District in Sep 22. Downloaded from API using polygon coordinates of LAD and overlayed on a filtered UK LAD map.\", \"title\": {\"text\": \"Westminster Crime Map\", \"fontSize\": 12, \"subtitle\": [\"All reported crimes, September 2022. Source: Police Crime API\", \"\"], \"subtitleFontStyle\": \"italic\", \"subtitleFontSize\": 10, \"anchor\": \"middle\"}, \"config\": {\"background\": \"white\", \"view\": {\"stroke\": \"transparent\"}}, \"layer\": [{\"data\": {\"url\": \"https://raw.githubusercontent.com/jhellingsdata/jhellingsdata.github.io/main/Data/UK%20Map%20Data/LAD_2021_20m.geojson\", \"format\": {\"property\": \"features\"}}, \"transform\": [{\"filter\": {\"field\": \"properties.LAD21NM\", \"oneOf\": [\"Westminster\"]}}], \"mark\": {\"type\": \"geoshape\", \"stroke\": \"white\", \"strokeWidth\": 2}, \"encoding\": {\"color\": {\"value\": \"#eee\"}}}, {\"data\": {\"url\": \"https://raw.githubusercontent.com/jhellingsdata/jhellingsdata.github.io/main/Data/point_maps/allCrimes_Westminster_2022-09.csv\"}, \"projection\": {\"type\": \"mercator\"}, \"mark\": \"circle\", \"encoding\": {\"longitude\": {\"field\": \"Longitude\", \"type\": \"quantitative\"}, \"latitude\": {\"field\": \"Latitude\", \"type\": \"quantitative\"}, \"size\": {\"value\": 6}, \"color\": {\"field\": \"Crime Category\"}, \"tooltip\": [{\"field\": \"Crime Category\"}, {\"field\": \"Location\"}]}}]}"
"{\"$schema\": \"https://vega.github.io/schema/vega-lite/v5.json\", \"width\": 500, \"height\": 400, \"description\": \"Police stop and search incidents within London borough boundary. Overlayed on Vega-lite example London GeoJSON. Metadata available to add filter - eg see tooltip\", \"title\": {\"text\": \"London stop and search hotspots\", \"fontSize\": 12, \"subtitle\": [\"All incidences, September 2022. Source: Police Crime API\", \"\"], \"subtitleFontStyle\": \"italic\", \"subtitleFontSize\": 10, \"anchor\": \"middle\"}, \"config\": {\"background\": \"white\", \"view\": {\"stroke\": \"transparent\"}}, \"layer\": [{\"data\": {\"url\": \"https://raw.githubusercontent.com/vega/vega/main/docs/data/londonBoroughs.json\", \"format\": {\"type\": \"topojson\", \"feature\": \"boroughs\"}}, \"mark\": {\"type\": \"geoshape\", \"stroke\": \"white\", \"strokeWidth\": 2}, \"encoding\": {\"color\": {\"value\": \"#eee\"}}}, {\"data\": {\"url\": \"https://raw.githubusercontent.com/jhellingsdata/jhellingsdata.github.io/main/Data/point_maps/stop_search_London.csv\"}, \"projection\": {\"type\": \"mercator\"}, \"mark\": \"circle\", \"encoding\": {\"longitude\": {\"field\": \"Longitude\", \"type\": \"quantitative\"}, \"latitude\": {\"field\": \"Latitude\", \"type\": \"quantitative\"}, \"size\": {\"value\": 5}, \"color\": {\"field\": \"Officer Defined Ethnicity\"}, \"tooltip\": [{\"field\": \"Age Range\"}, {\"field\": \"Gender\"}, {\"field\": \"Officer Defined Ethnicity\"}, {\"field\": \"Object of Search\"}, {\"field\": \"Location\"}]}}]}"
"{\"$schema\": \"https://vega.github.io/schema/vega-lite/v5.json\", \"title\": {\"text\": \"England: house prices\", \"subtitle\": [\"By electoral ward, Source: ONS\", \"\"], \"subtitleFontStyle\": \"italic\", \"subtitleFontSize\": 10, \"anchor\": \"middle\", \"color\": \"black\"}, \"config\": {\"background\": \"white\", \"view\": {\"stroke\": \"transparent\"}}, \"width\": 300, \"height\": 300, \"data\": {\"url\": \"https://raw.githubusercontent.com/RDeconomist/RDeconomist.github.io/main/charts/maps/geoEngWards.json\", \"format\": {\"type\": \"topojson\", \"feature\": \"wards\"}}, \"transform\": [{\"lookup\": \"properties.WD13NM\", \"from\": {\"key\": \"WardName\", \"fields\": [\"y2022\"], \"data\": {\"url\": \"https://raw.githubusercontent.com/RDeconomist/RDeconomist.github.io/main/charts/maps/dataUKHousePrices.csv\"}}}, {\"calculate\": \"parseInt(datum.y2022)\", \"as\": \"housePrice\"}], \"projection\": {\"type\": \"mercator\"}, \"mark\": {\"type\": \"geoshape\", \"stroke\": \"white\", \"strokeWidth\": 0.1}, \"encoding\": {\"color\": {\"field\": \"housePrice\", \"type\": \"quantitative\", \"scale\": {\"scheme\": \"lightmulti\"}}}}"
"{\"$schema\": \"https://vega.github.io/schema/vega-lite/v5.json\", \"title\": {\"text\": \"England: house prices\", \"subtitle\": [\"Median price, by electoral ward, Source: ONS\", \"\"], \"subtitleFontStyle\": \"italic\", \"subtitleFontSize\": 10, \"anchor\": \"middle\", \"color\": \"black\"}, \"config\": {\"background\": \"white\", \"view\": {\"stroke\": \"transparent\"}}, \"width\": 300, \"height\": 300, \"params\": [{\"name\": \"Select\", \"value\": \"HP_1995\", \"bind\": {\"input\": \"select\", \"options\": [\"HP_1995\", \"HP_2000\", \"HP_2010\", \"HP_2022\"]}}], \"data\": {\"url\": \"https://raw.githubusercontent.com/RDeconomist/RDeconomist.github.io/main/charts/maps/geoEngWards.json\", \"format\": {\"type\": \"topojson\", \"feature\": \"wards\"}}, \"transform\": [{\"lookup\": \"properties.WD13NM\", \"from\": {\"key\": \"WardName\", \"fields\": [\"y1995\", \"y2000\", \"y2010\", \"y2022\"], \"data\": {\"url\": \"https://raw.githubusercontent.com/RDeconomist/RDeconomist.github.io/main/charts/maps/dataUKHousePrices.csv\"}}}, {\"calculate\": \"parseInt(datum.y1995)\", \"as\": \"HP_1995\"}, {\"calculate\": \"parseInt(datum.y2000)\", \"as\": \"HP_2000\"}, {\"calculate\": \"parseInt(datum.y2010)\", \"as\": \"HP_2010\"}, {\"calculate\": \"parseInt(datum.y2022)\", \"as\": \"HP_2022\"}, {\"calculate\": \"datum[Select]\", \"as\": \"yearSelected\"}], \"projection\": {\"type\": \"mercator\"}, \"mark\": {\"type\": \"geoshape\", \"stroke\": \"white\", \"strokeWidth\": 0}, \"encoding\": {\"color\": {\"field\": \"yearSelected\", \"legend\": {\"title\": \"Price\", \"orient\": \"top-left\", \"direction\": \"vertical\"}, \"type\": \"quantitative\", \"scale\": {\"scheme\": \"lightmulti\", \"domain\": [0, 1000]}}}}"
"{\"$schema\": \"https://vega.github.io/schema/vega-lite/v5.json\", \"title\": {\"text\": \"England - population\", \"subtitle\": [\"Population by electoral ward. Source: ONS\", \"\"], \"subtitleFontStyle\": \"italic\", \"subtitleFontSize\": 10, \"anchor\": \"middle\", \"color\": \"black\"}, \"config\": {\"background\": \"white\", \"view\": {\"stroke\": \"transparent\"}}, \"width\": 300, \"height\": 300, \"data\": {\"url\": \"https://raw.githubusercontent.com/RDeconomist/RDeconomist.github.io/main/charts/maps/geoEngWards.json\", \"format\": {\"type\": \"topojson\", \"feature\": \"wards\"}}, \"transform\": [{\"lookup\": \"properties.WD13NM\", \"from\": {\"key\": \"wardName\", \"fields\": [\"Population\", \"Lacode\"], \"data\": {\"url\": \"https://raw.githubusercontent.com/RDeconomist/RDeconomist.github.io/main/charts/maps/dataUKPopWards.csv\"}}}], \"projection\": {\"type\": \"mercator\"}, \"mark\": {\"type\": \"geoshape\", \"stroke\": \"white\", \"strokeWidth\": 0}, \"encoding\": {\"color\": {\"field\": \"Population\", \"type\": \"quantitative\", \"scale\": {\"scheme\": \"lightmulti\"}, \"legend\": {\"orient\": \"top-left\", \"direction\": \"vertical\"}}, \"tooltip\": {\"field\": \"properties.WD13NM\"}}}"
"{\"$schema\": \"https://vega.github.io/schema/vega-lite/v5.json\", \"description\": \"Unemployment\", \"title\": {\"text\": \"Unemployment\", \"subtitle\": \"Unemployment rate (aged 16 and over, seasonally adjusted)\", \"subtitleFontStyle\": \"italic\", \"subtitleFontSize\": 10, \"anchor\": \"start\", \"color\": \"black\"}, \"data\": {\"url\": \"https://api.ons.gov.uk/timeseries/mgsx/dataset/lms/data\", \"format\": {\"type\": \"json\", \"property\": \"months\"}}, \"height\": 300, \"width\": 345, \"mark\": {\"type\": \"line\", \"point\": false, \"interpolate\": \"monotone\", \"color\": \"orangered\"}, \"encoding\": {\"x\": {\"field\": \"date\", \"type\": \"temporal\", \"axis\": {\"title\": null, \"grid\": false, \"labelSeparation\": 10, \"ticks\": false}}, \"y\": {\"field\": \"value\", \"type\": \"quantitative\", \"title\": \"\", \"axis\": {\"grid\": false}}}}"
"{\"$schema\": \"https://vega.github.io/schema/vega-lite/v5.json\", \"description\": \"UK CPI data visualisation\", \"title\": {\"text\": \"Explore the CPI data\", \"subtitle\": [\"Freqency and size of price rises\", \"Size of circle in proportion to average long run annual price rise\", \"\"], \"subtitleFontStyle\": \"italic\", \"subtitleFontSize\": 10, \"anchor\": \"start\", \"color\": \"black\"}, \"data\": {\"url\": \"https://raw.githubusercontent.com/RDeconomist/prices/master/analysis/db_priceChangesByProductAnnualLatestYear.csv\"}, \"selection\": {\"paintbrush\": {\"type\": \"multi\", \"on\": \"mouseover\", \"nearest\": true}, \"grid\": {\"type\": \"interval\", \"bind\": \"scales\"}, \"divisionSelect\": {\"type\": \"multi\", \"fields\": [\"division_sh\"], \"bind\": \"legend\"}}, \"height\": 300, \"width\": 300, \"mark\": \"circle\", \"encoding\": {\"x\": {\"field\": \"up_sh12\", \"type\": \"quantitative\", \"title\": \"Share rising\"}, \"y\": {\"field\": \"up_ch12_median\", \"type\": \"quantitative\", \"title\": \"Median size of price rise\"}, \"color\": {\"field\": \"division_sh\", \"type\": \"ordinal\", \"title\": null, \"scale\": {\"scheme\": \"turbo\"}}, \"opacity\": {\"condition\": {\"selection\": \"divisionSelect\", \"value\": 0.7}, \"value\": 0}, \"size\": {\"condition\": {\"selection\": \"paintbrush\", \"value\": 800}, \"field\": \"up_ch12_longRunMean\", \"type\": \"nominal\", \"legend\": null}, \"tooltip\": [{\"field\": \"description\", \"type\": \"nominal\", \"title\": \"Item\"}, {\"field\": \"spanYears\", \"type\": \"quantitative\", \"title\": \"Years present\", \"format\": \".0f\"}, {\"field\": \"up_ch12_median\", \"type\": \"quantitative\", \"title\": \"Median price rise (2022)\", \"format\": \".0%\"}, {\"field\": \"up_ch12_mean\", \"type\": \"quantitative\", \"title\": \"Mean price rise (2022)\", \"format\": \".0%\"}, {\"field\": \"up_ch12_longRunMean\", \"type\": \"quantitative\", \"title\": \"Mean price rise (long run)\", \"format\": \".0%\"}]}}"
"{\"$schema\": \"https://vega.github.io/schema/vega-lite/v5.json\", \"title\": {\"text\": \"Women's football performance vs economic development\", \"subtitle\": [\"Human Development Index (x), FIFA ranking points (y). 2021 data\", \"Size of points based on popluation\", \"\"], \"subtitleFontStyle\": \"italic\", \"subtitleFontSize\": 10, \"anchor\": \"start\", \"color\": \"black\"}, \"config\": {\"background\": \"white\", \"view\": {\"stroke\": \"transparent\"}}, \"data\": {\"url\": \"https://raw.githubusercontent.com/RDeconomist/RDeconomist.github.io/main/charts/football/dataWomensFIFA.csv\", \"format\": {\"type\": \"csv\"}}, \"mark\": {\"type\": \"circle\", \"color\": \"green\", \"opacity\": 0.7}, \"height\": 300, \"width\": 300, \"encoding\": {\"x\": {\"field\": \"HDI_2021\", \"type\": \"quantitative\", \"scale\": {\"domain\": [0.3, 1]}, \"axis\": {\"grid\": false}, \"title\": null}, \"y\": {\"field\": \"FIFA_rank_2021\", \"type\": \"quantitative\", \"scale\": {\"domain\": [300, 2200]}, \"axis\": {\"grid\": false}, \"title\": null}, \"size\": {\"field\": \"Population_2021\", \"type\": \"quantitative\", \"title\": \"Prison Rate\", \"scale\": {\"range\": [10, 800]}, \"legend\": null}, \"tooltip\": [{\"field\": \"country\", \"type\": \"ordinal\", \"title\": \"Country\"}, {\"field\": \"FIFA_rank_2021\", \"type\": \"quantitative\", \"title\": \"Rank\", \"format\": \".0f\"}, {\"field\": \"HDI_2021\", \"type\": \"quantitative\", \"title\": \"HDI\", \"format\": \".2f\"}, {\"field\": \"Population_2021\", \"type\": \"quantitative\", \"title\": \"Population\", \"format\": \",\"}]}}"
"{\"$schema\": \"https://vega.github.io/schema/vega-lite/v5.json\", \"description\": \"Various US measures state by state\", \"title\": {\"text\": \"Gun deaths and income - US states\", \"subtitle\": [\"Median income (x), and firearm deaths per 100k population (y)\", \"\"], \"subtitleFontStyle\": \"italic\", \"subtitleFontSize\": 10, \"anchor\": \"start\", \"color\": \"black\"}, \"data\": {\"url\": \"https://raw.githubusercontent.com/RDeconomist/RDeconomist.github.io/main/charts/usa/data_USsocioEconomic.csv\", \"format\": {\"type\": \"csv\"}}, \"mark\": {\"type\": \"circle\", \"size\": 150, \"color\": \"rgb(0,67,167)\", \"opacity\": 0.6}, \"height\": 300, \"width\": 250, \"encoding\": {\"x\": {\"field\": \"medIncome\", \"type\": \"quantitative\", \"scale\": {\"domain\": [40000, 80000]}, \"title\": null}, \"y\": {\"field\": \"FirearmDeaths\", \"type\": \"quantitative\", \"title\": null}, \"color\": {\"field\": \"GeographicDivision\", \"type\": \"ordinal\", \"scale\": {\"scheme\": \"set1\"}, \"legend\": {\"orient\": \"bottom\"}, \"title\": null}, \"size\": {\"field\": \"PrisonRate\", \"type\": \"quantitative\", \"title\": \"Prison Rate\", \"scale\": {\"range\": [5, 300]}}}}"
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