Class: RailsDataExplorer::DataType::Quantitative

Inherits:
RailsDataExplorer::DataType show all
Defined in:
lib/rails-data-explorer/data_type/quantitative.rb,
lib/rails-data-explorer/data_type/quantitative/decimal.rb,
lib/rails-data-explorer/data_type/quantitative/integer.rb,
lib/rails-data-explorer/data_type/quantitative/temporal.rb

Direct Known Subclasses

Decimal, Integer, Temporal

Defined Under Namespace

Classes: Decimal, Integer, Temporal

Instance Method Summary collapse

Methods inherited from RailsDataExplorer::DataType

#available_chart_types

Instance Method Details

#all_available_chart_types ⇒ Object

This is an abstract class. Use sub_classes



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
 
# File 'lib/rails-data-explorer/data_type/quantitative.rb', line 7

def all_available_chart_types
  [
    # {
    #   chart_class: Chart::BoxPlot,
    #   chart_roles: [:y],
    #   dimensions_count_min: 1,
    #   dimensions_count_max: 1
    # },
    {
      chart_class: Chart::HistogramQuantitative,
      chart_roles: [:x],
      dimensions_count_min: 1,
      dimensions_count_max: 1
    },
    {
      chart_class: Chart::BoxPlotGroup,
      chart_roles: [:x],
      dimensions_count_min: 2,
      dimensions_count_max: 2,
    },
    {
      chart_class: Chart::Scatterplot,
      chart_roles: [:x, :y, :size],
      dimensions_count_min: 2
    },
    {
      chart_class: Chart::DescriptiveStatisticsTable,
      chart_roles: [:any],
      dimensions_count_min: 1,
      dimensions_count_max: 1
    },
    {
      chart_class: Chart::ParallelCoordinates,
      chart_roles: [:dimension],
      dimensions_count_min: 3,
    },
  ].freeze
end

#axis_scale(data_series, d3_or_vega) ⇒ Object 



125
126
127
128
129
130
131
132
 
# File 'lib/rails-data-explorer/data_type/quantitative.rb', line 125

def axis_scale(data_series, d3_or_vega)
  # Log scales can't handle 0 values
  if data_series.min_val > 0.0 && data_series.has_large_dynamic_range?
    { d3: 'd3.scale.log', vega: 'log' }[d3_or_vega]
  else
    { d3: 'd3.scale.linear', vega: 'linear' }[d3_or_vega]
  end
end

#axis_tick_format(values) ⇒ Object 



121
122
123
 
# File 'lib/rails-data-explorer/data_type/quantitative.rb', line 121

def axis_tick_format(values)
  raise "Implement me in sub_class"
end

#descriptive_statistics(values) ⇒ Object 



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
 
# File 'lib/rails-data-explorer/data_type/quantitative.rb', line 46

def descriptive_statistics(values)
  non_nil_values = values.find_all { |e| !(e.nil? || Float::NAN == e) }
  stats = ::DescriptiveStatistics::Stats.new(non_nil_values)
  ruby_formatters = {
    integer: Proc.new { |v|
      v.nil? ? 'Null' : number_with_delimiter(v.round)
    },
    decimal: Proc.new { |v|
      case
      when v.nil?
        'Null'
      when v.is_a?(Float) && v.nan?
        'NaN'
      else
        number_with_precision(
          v,
          precision: 3,
          significant: true,
          strip_insignificant_zeros: true,
          delimiter: ','
        )
      end
    },
    pass_through: Proc.new { |v| (v.nil? || Float::NAN == v) ? 'NaN' : v },
  }
  [
    { label: 'Min', value: stats.min, ruby_formatter: ruby_formatters[:decimal], table_row: 1 },
    { label: '1%ile', value: stats.value_from_percentile(1), ruby_formatter: ruby_formatters[:decimal], table_row: 1 },
    { label: '5%ile', value: stats.value_from_percentile(5), ruby_formatter: ruby_formatters[:decimal], table_row: 1 },
    { label: '10%ile', value: stats.value_from_percentile(10), ruby_formatter: ruby_formatters[:decimal], table_row: 1 },
    { label: '25%ile', value: stats.value_from_percentile(25), ruby_formatter: ruby_formatters[:decimal], table_row: 1 },
    { label: 'Median', value: stats.median, ruby_formatter: ruby_formatters[:decimal], table_row: 1 },
    { label: '75%ile', value: stats.value_from_percentile(75), ruby_formatter: ruby_formatters[:decimal], table_row: 1 },
    { label: '90%ile', value: stats.value_from_percentile(90), ruby_formatter: ruby_formatters[:decimal], table_row: 1 },
    { label: '95%ile', value: stats.value_from_percentile(95), ruby_formatter: ruby_formatters[:decimal], table_row: 1 },
    { label: '99%ile', value: stats.value_from_percentile(99), ruby_formatter: ruby_formatters[:decimal], table_row: 1 },
    { label: 'Max', value: stats.max, ruby_formatter: ruby_formatters[:decimal], table_row: 1 },

    { label: 'Range', value: stats.range, ruby_formatter: ruby_formatters[:decimal], table_row: 2 },
    { label: 'Mean', value: stats.mean, ruby_formatter: ruby_formatters[:decimal], table_row: 2 },
    { label: 'Mode', value: stats.mode, ruby_formatter: ruby_formatters[:decimal], table_row: 2 },
    { label: 'Count', value: values.length, ruby_formatter: ruby_formatters[:integer], table_row: 2 },
    { label: 'Sum', value: non_nil_values.inject(0) { |m,e| m += e }, ruby_formatter: ruby_formatters[:decimal], table_row: 2 },
    { label: 'Variance', value: stats.variance, ruby_formatter: ruby_formatters[:decimal], table_row: 2 },
    { label: 'Std. dev.', value: stats.standard_deviation, ruby_formatter: ruby_formatters[:decimal], table_row: 2 },
    { label: 'Rel. std. dev.', value: stats.relative_standard_deviation, ruby_formatter: ruby_formatters[:decimal], table_row: 2 },
    { label: 'Skewness', value: stats.skewness, ruby_formatter: ruby_formatters[:decimal], table_row: 2 },
    { label: 'Kurtosis', value: stats.kurtosis, ruby_formatter: ruby_formatters[:decimal], table_row: 2 },
    { label: '', value: '', ruby_formatter: ruby_formatters[:pass_through], table_row: 2 },
  ]
end

#descriptive_statistics_table(values) ⇒ Object

Returns an object that describes a statistics table.



99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
 
# File 'lib/rails-data-explorer/data_type/quantitative.rb', line 99

def descriptive_statistics_table(values)
  desc_stats = descriptive_statistics(values)
  table = Utils::RdeTable.new([])
  [1,2].each do |table_row|
    table.rows << Utils::RdeTableRow.new(
      :tr,
      desc_stats.find_all { |e| table_row == e[:table_row] }.map { |stat|
        Utils::RdeTableCell.new(:th, stat[:label], ruby_formatter: Proc.new { |e| e }, css_class: 'rde-cell-label')
      },
      css_class: 'rde-column_header'
    )
    table.rows << Utils::RdeTableRow.new(
      :tr,
      desc_stats.find_all { |e| table_row == e[:table_row] }.map { |stat|
        Utils::RdeTableCell.new(:td, stat[:value], ruby_formatter: stat[:ruby_formatter], css_class: 'rde-cell-value')
      },
      css_class: 'rde-data_row'
    )
  end
  table
end