File size: 3,269 Bytes
30e9731
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
window.makeSliders = function(){
  var rv = {
    population: 144,
    headsProb: .5,
  }

  rv.updateHeadsProb = (headsProb) => {
    rv.headsProb = headsProb
    updateSliderPos()


    estimates.updateEstimates()
    estimates.render()
  }

  rv.updatePopulation = (population) => {
    rv.population = population
    updateSliderPos()


    var scale = d3.clamp(0, 13 / Math.sqrt(population), 1)
    sel.studentGroup.st({
      transformOrigin: 'top',
      transformOrigin: c.width/2 + 'px ' + 160 + 'px',
      transform: `scale(${scale})`
    })

    estimates.updateEstimates()
    estimates.render()

    sel.student.classed('inactive',(d, i) => i >= population)
  }

  rv.updatePopulationSlider = (val) => {
    rv.updatePopulation(val)
  }

  rv.updateNoiseSlider = (val) => {
    rv.updateHeadsProb(val)
  }

  var updateSliderPos = (function(){
    var width = d3.clamp(50, window.innerWidth/2 - 40, 145)
    var height = 30
    var color = '#007276'

    var sliderVals = {
      population: {
        key: 'population',
        textFn: d => rv.population + ' students' ,
        r: [144, 756],
        v: 144,
        stepFn: d => rv.updatePopulation(Math.round(d.v/2)*2),
      },
      headsProb: {
        key: 'headsProb',
        textFn: d => d3.format('.1%')(rv.headsProb) + ' chance of heads',
        r: [.2, .5],
        v: .5,
        stepFn: d => rv.updateHeadsProb(d.v),
      }
    }
    var sliders = [sliderVals.headsProb, sliderVals.population, sliderVals.headsProb]
    sliders.forEach(d => {
      d.s = d3.scaleLinear().domain(d.r).range([0, width])
    })

    var sliderSel = d3.selectAll('.slide-container-population,.slide-container-heads-prob').html('')
      .data(sliders)
      .classed('slider', true)
      .st({
        display: 'inline-block',
        width: width,
        paddingRight: (d, i) => i == 1 ? 40 : 0,
        marginTop: 20,
      })

    var textSel = sliderSel.append('div.slider-label-container')
      .st({marginBottom: -5})

    var svgSel = sliderSel.append('svg').at({width, height})
      .on('click', function(d){
        d.v = d.s.invert(d3.mouse(this)[0])
        d.stepFn(d)
      })
      .st({
        cursor: 'pointer'
      })
      .append('g').translate(height/2, 1)
    svgSel.append('rect').at({width, height, y: -height/2, fill: 'rgba(0,0,0,0)'})

    svgSel.append('path').at({
      d: `M 0 -.5 H ${width}`, 
      stroke: color,
      strokeWidth: 1
    })

    var leftPathSel = svgSel.append('path').at({
      d: `M 0 -.5 H ${width}`, 
      stroke: color,
      strokeWidth: 3
    })


    var drag = d3.drag()
      .on('drag', function(d){
        var x = d3.mouse(this)[0]
        d.v = d3.clamp(d3.min(d.r), d.s.invert(x), d3.max(d.r))
        d.stepFn(d)
      })

    var rectSel = svgSel.append('rect')
      .at({
        width: height/2 - 1,
        height: height/2 - 1,
        stroke: color, 
        strokeWidth: 3,
        fill: '#fff',
      })
      .translate([-height/4, -height/4])
      .call(drag)

    return isDrag => {
      rectSel.at({x: d => Math.round(d.s(rv[d.key]))})
      textSel.text(d => d.textFn(d))

      leftPathSel.at({d: d => `M 0 -.5 H ${d.s(rv[d.key])}`})
    }
  })()
  updateSliderPos()


  return rv
}




if (window.init) window.init()