20230330_word_wrap

spec.json

{
  "$schema": "https://vega.github.io/schema/vega-lite/v5.json",
  "title": {
    "text": "A Peek Inside The Mind",
    "subtitle": ["of Michael Scott"],
    "orient": "top",
    "align": "center",
    "anchor": "middle",
    "fontSize": 22,
    "subtitleFontSize": 16
  },
  "data": {
    "name": "dataset",
    "values": [
      {
        "__row__": 0,
        "item": "Quote #1",
        "start": 25,
        "end": 75,
        "label": "“My, philosophy is, basically this. And this is something that I live by. And I always have. And I always will. Don't, ever, for any reason, do anything, to anyone, for any reason, ever, no matter what, no matter where, or who you are with, or, or where you are going, or, or where you've been. Ever. For any reason. Whatsoever.”"
      },
      {
        "__row__": 1,
        "item": "Quote #2",
        "start": 0,
        "end": 50,
        "label": "“Sometimes I’ll start a sentence and I don’t even know where it’s going. I just hope I find it along the way.”"
      },
      {
        "__row__": 2,
        "item": "Quote #3",
        "start": 0,
        "end": 100,
        "label": "“Do I need to be liked? Absolutely not. I like to be liked. I enjoy being liked. I have to be liked. But it's not like a compulsive need to be liked. Like my need to be praised.”"
      }
    ]
  },
  "transform": [],
  "spacing": 0,
  "vconcat": [
    {
      "width": 600,
      "height": 0,
      "mark": {"type": "bar", "opacity": 0},
      "encoding": {
        "x": {"field": "start", "type": "quantitative", "axis": null},
        "x2": {"field": "end"}
      }
    },
    {
      "width": 600,
      "transform": [
        {"calculate": "length(datum['label'])", "as": "label_character_count"},
        {"calculate": "scale('concat_0_x', datum['start'])", "as": "x"},
        {"calculate": "scale('concat_0_x', datum['end'])", "as": "x2"},
        {
          "calculate": "scale('concat_0_x', datum['end'])-scale('concat_0_x', datum['start'])-label_character_width-label_character_width",
          "as": "bar_width"
        },
        {
          "calculate": "datum['bar_width']-3.1*label_horizontal_padding",
          "as": "line_label_allowable_width"
        },
        {"calculate": "split(datum['label'], ' ')", "as": "word_array"},
        {"flatten": ["word_array"], "as": ["word"]},
        {
          "window": [{"op": "row_number", "as": "word_index"}],
          "groupby": ["__row__"]
        },
        {"calculate": "datum['word_index']-1", "as": "word_index"},
        {"calculate": "length(datum['word'])", "as": "word_length"},
        {
          "calculate": "datum['word_length']*label_character_width",
          "as": "word_width"
        },
        {
          "window": [
            {"op": "sum", "field": "word_width", "as": "word_width_running_sum"}
          ],
          "groupby": ["__row__"]
        },
        {
          "calculate": "datum['word_width_running_sum']+(datum['word_index']*label_character_width)",
          "as": "word_width_running_sum_with_spaces"
        },
        {
          "calculate": "ceil(datum['word_width_running_sum_with_spaces']/(datum['line_label_allowable_width']))",
          "as": "line_index"
        },
        {
          "window": [
            {
              "op": "sum",
              "field": "word_length",
              "as": "word_length_running_sum"
            }
          ],
          "groupby": ["__row__", "line_index"]
        },
        {
          "joinaggregate": [
            {
              "field": "word_length_running_sum",
              "op": "max",
              "as": "line_character_length"
            }
          ],
          "groupby": ["__row__", "line_index"]
        },
        {
          "joinaggregate": [{"op": "count", "as": "word_count_per_line"}],
          "groupby": ["__row__", "line_index"]
        },
        {
          "calculate": "datum['line_character_length']+(datum['word_count_per_line']-1)",
          "as": "line_character_length"
        },
        {
          "aggregate": [{"op": "mean", "field": "__row__", "as": "__row__"}],
          "groupby": [
            "__row__",
            "item",
            "start",
            "end",
            "label",
            "label_character_count",
            "x",
            "x2",
            "bar_width",
            "word_array",
            "line_index",
            "line_character_length"
          ]
        },
        {
          "window": [
            {
              "op": "lag",
              "field": "line_character_length",
              "as": "last_character_length"
            }
          ],
          "groupby": ["__row__"]
        },
        {
          "calculate": "datum['last_character_length'] ? datum['last_character_length']+1 : 0",
          "as": "arr_start_index"
        },
        {
          "window": [
            {"op": "sum", "field": "arr_start_index", "as": "arr_start_index"}
          ],
          "groupby": ["__row__"]
        },
        {
          "calculate": "datum['arr_start_index']+datum['line_character_length']",
          "as": "arr_end_index"
        },
        {
          "calculate": "slice(datum['label'], datum['arr_start_index'], datum['arr_end_index'])",
          "as": "label_line"
        },
        {
          "joinaggregate": [
            {"op": "max", "field": "line_index", "as": "lines"}
          ],
          "groupby": ["__row__"]
        },
        {"calculate": "label_character_height", "as": "line_height"},
        {
          "calculate": "round(datum['line_height']*(datum['lines'])+2*label_vertical_padding)",
          "as": "bar_height"
        },
        {
          "calculate": "datum['line_index']===1 ? datum['bar_height'] : 0",
          "as": "bar_y"
        },
        {"window": [{"op": "sum", "field": "bar_y", "as": "bar_y"}]},
        {
          "calculate": "datum['bar_y'] - datum['bar_height']+(datum['__row__']*bar_inner_padding)",
          "as": "bar_y"
        },
        {"calculate": "datum['bar_y'] + datum['bar_height']", "as": "bar_y2"},
        {
          "calculate": "(datum['bar_y2']-datum['bar_y'])/2+datum['bar_y']",
          "as": "bar_y_mid"
        },
        {
          "calculate": "datum['bar_y']+datum['line_height']*(datum['line_index']-1)+label_vertical_padding",
          "as": "y"
        },
        {"joinaggregate": [{"op": "max", "field": "bar_y2", "as": "height"}]}
      ],
      "encoding": {
        "x": {
          "field": "x",
          "type": "quantitative",
          "axis": null,
          "scale": {"rangeMin": 0, "rangeMax": {"expr": "width"}, "clamp": true}
        },
        "y": {
          "scale": {"rangeMin": {"expr": "height"}, "rangeMax": 0},
          "axis": null
        }
      },
      "layer": [
        {
          "transform": [{"filter": "datum['line_index']===1"}],
          "mark": {"type": "bar", "color": "#000", "cornerRadius": 10},
          "encoding": {
            "x2": {"field": "x2"},
            "y": {
              "field": "bar_y",
              "type": "quantitative",
              "scale": {"rangeMin": 0, "rangeMax": {"expr": "height"}}
            },
            "y2": {"field": "bar_y2"}
          }
        },
        {
          "transform": [{"filter": "datum['line_index']===1"}],
          "name": "y-axis_labels",
          "mark": {
            "type": "text",
            "font": "Segoe UI",
            "fontSize": 14,
            "align": "right",
            "baseline": "middle",
            "x": -10
          },
          "encoding": {
            "text": {"field": "item", "type": "nominal"},
            "x": {"scale": null},
            "y": {
              "type": "quantitative",
              "field": "bar_y_mid",
              "scale": {"rangeMin": {"expr": "height"}, "rangeMax": 0},
              "axis": null
            }
          }
        },
        {
          "transform": [
            {"filter": "datum['line_index']===1"},
            {"calculate": "michael_scott_base64", "as": "img"}
          ],
          "name": "michael_scott_base64_marks",
          "mark": {"type": "image", "width": 50, "height": 50},
          "encoding": {
            "url": {"field": "img", "type": "nominal"},
            "x": {"field": "x2"},
            "xOffset": {"value": 25},
            "y": {
              "type": "quantitative",
              "field": "bar_y2",
              "scale": {"rangeMin": {"expr": "height"}, "rangeMax": 0},
              "axis": null
            },
            "yOffset": {"value": -25}
          }
        },
        {
          "mark": {
            "type": "text", "color": "#fff",
            "font": {"expr": "label_font"},
            "fontSize": {"expr": "label_font_size"},
            "align": "left",
            "baseline": "top",
            "dx": {"expr": "label_horizontal_padding"}
          },
          "encoding": {
            "text": {"field": "label_line", "type": "nominal"},
            "y": {"field": "y", "type": "quantitative"}
          }
        }
      ]
    }
  ],
  "params": [
    {
      "name": "label_font_size",
      "value": 13,
      "bind": {
        "input": "range",
        "min": 8,
        "max": 50,
        "step": 1,
        "name": "Font Size(px)"
      }
    },
    {
      "name": "label_horizontal_padding",
      "value": 8,
      "bind": {
        "input": "range",
        "min": 10,
        "max": 50,
        "step": 1,
        "name": "Label ↔ Pad(px)"
      }
    },
    {
      "name": "label_vertical_padding",
      "value": 8,
      "bind": {
        "input": "range",
        "min": 0,
        "max": 50,
        "step": 1,
        "name": "Label ↕ Pad(px)"
      }
    },
    {
      "name": "label_line_vertical_padding",
      "value": 3,
      "bind": {
        "input": "range",
        "min": 0,
        "max": 30,
        "step": 1,
        "name": "line ↕ Pad(px)"
      }
    },
    {"name": "label_font", "value": "Consolas"},
    {"name": "bar_inner_padding", "value": 30},
    {"name": "bar_count", "expr": "length(data('dataset'))"},
    {"name": "label_character_width_multiplier", "expr": "7/12"},
    {"name": "label_character_height_multiplier", "expr": "1.075"},
    {
      "name": "label_character_width",
      "expr": "label_font_size*label_character_width_multiplier"
    },
    {
      "name": "label_character_height",
      "expr": "label_line_vertical_padding+ceil(label_font_size*label_character_height_multiplier)"
    },
    {"name": "height", "expr": "data('data_2')[0]['height']"},
    {
      "name": "michael_scott_base64",
      "value": 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"
    }
  ]
}