header:
  tab: "Winner/Loser"
  title: "Winner/Loser Analysis - UNFINISHED!"
  description: "This analysis is not finished yet. Therefore, there is no data here! Examines who is advantaged or disadvantaged by policy measures."
  triggerPattern: "*chart.equity.score_distrib.csv"

layout:
  SCORE:
    - title: "Score Distribution"
      type: 'line'
      description: 'Distribution of Scores'
      width: 1
      dataset: "analysis/analysis-R/chart.equity.score_distrib.csv"
      x: 'score'
      xAxisName: 'Score'
      yAxisName: 'Frequency'
      columns: [executed_score_base, executed_score_policy]
      legendTitles: ['Base Case', 'Policy Case']
    - title: "Score Stats"
      type: csv
      dataset: "analysis/analysis-R/df.equity.score_stats.csv"
      enableFilter: false
      showAllRows: true
  GEOGRAPHICAL:
    - title: "3D Analysis"
      type: "map"
      height: 10
      description: "Displays the geographic distribution of winners and losers. Bar height shows population density, while color shows score difference (score_policy-score_base). Areas where people were more advantaged are in purple; areas disadvantaged in yellow"
      zoom: 10.1
      pitch: 30
      center:
          - 12.36
          - 51.33
      shapes: 'analysis/analysis-R/shp.equity.hex.shp'
      datasets: {}
      display:
        fill:
          dataset: shp.equity.hex.shp
          columnName: scr_dff
          colorRamp:
            ramp: Viridis
            steps: 9
        fillHeight:
          dataset: shp.equity.hex.shp
          columnName: pp_dnst
          normalize: ""
          scaleFactor: 0.5
    - title: "2D"
      type: "map"
      height: 10
      description: "Displays the geographic distribution of winners and losers. Circle Radius shows population density, while color shows score difference (score_policy-score_base). Areas where people were more advantaged are in blue; areas disadvantaged in red"
      zoom: 10.1
      pitch: 30
      center:
          - 12.36
          - 51.33
      shapes: analysis/analysis-R/shp.equity.centroid.shp
      datasets: {}
      display:
          fill:
              dataset: shp.equity.centroid.shp
              columnName: scr_dff
              join: ""
              colorRamp:
                  ramp: RdBu
                  reverse: true
                  steps: 5
          lineColor:
              fixedColors:
                  - "#4e79a7"
          radius:
              dataset: shp.equity.centroid.shp
              columnName: pp_dnst
              scaleFactor: 100
              join: ""
  MODE:
    - type: csv
      title: "Score Difference For Different Modes"  
      dataset: "analysis/analysis-R/df.equity.mode.csv"
      enableFilter: false
      showAllrows: true
      showAllRows: true
  SEX:
    - type: csv
      title: "Score Difference Between Sex"  
      dataset: "analysis/analysis-R/df.equity.sex.csv"
      enableFilter: false
      showAllRows: true
  INCOME:
    - type: csv
      title: "Score Difference Between Income Groups"  
      dataset: "analysis/analysis-R/df.equity.income.csv"
      enableFilter: false
      showAllRows: true
  HH_SIZE:
    - type: csv
      title: "Score Difference Between Household Sizes"  
      dataset: "analysis/analysis-R/df.equity.hh_size.csv"
      enableFilter: false
      showAllRows: true
  PT_ABO:
    - type: csv
      title: "Score Difference Between Public Transit Subscription Holders"  
      dataset: "analysis/analysis-R/df.equity.pt_abo.csv"
      enableFilter: false
      showAllRows: true
  CAR_AVAIL:
    - type: csv
      title: "Score Difference Between Car Owners & Non-Owners"  
      dataset: "analysis/analysis-R/df.equity.car_avail.csv"
      enableFilter: false
      showAllRows: true