# -*- coding: utf-8 -*- class RailsDataExplorer class Chart # Responsibilities: # * Render a parallel coordinates chart for multivariate analysis of # a mix of quantitative, temporal, and categorical data series. # # Collaborators: # * DataSet # # TODO: add :color chart_role (test first if it makes sense, e.g., for 'pay') class ParallelCoordinates < Chart def initialize(_data_set, options = {}) @data_set = _data_set @options = {}.merge(options) end def render return '' unless render? ca = compute_chart_attrs return '' unless ca %(

Parallel coordinates

) end # Render ParallelCoordinates only when there is at least one data series # with DataType Quantitative. If it's all Categorical, then ParallelSet # is much better suited. def render? @data_set.data_series.any? { |ds| ds.data_type.is_a?(RailsDataExplorer::DataType::Quantitative) } end def compute_chart_attrs dimension_data_series = @data_set.data_series.find_all { |ds| (ds.chart_roles[Chart::ParallelCoordinates] & [:dimension, :any]).any? } return false if dimension_data_series.empty? dimension_names = dimension_data_series.map(&:name) number_of_values = dimension_data_series.first.values.length dimension_values = number_of_values.times.map do |idx| dimension_data_series.inject({}) { |m,ds| m[ds.name] = if ds.data_type.is_a?(RailsDataExplorer::DataType::Quantitative::Temporal) ds.values[idx].to_i * 1000 else ds.values[idx] end m } end dimension_types = dimension_data_series.inject({}) { |m,ds| m[ds.name] = case ds.data_type when RailsDataExplorer::DataType::Categorical 'string' when RailsDataExplorer::DataType::Quantitative::Temporal 'date' when RailsDataExplorer::DataType::Quantitative::Integer, RailsDataExplorer::DataType::Quantitative::Decimal 'number' else raise "Unhandled data_type: #{ ds.data_type.inspect }" end m } { dimensions: dimension_names, values: dimension_values, types: dimension_types, alpha: 1 / ([Math.log([number_of_values, 2].max), 10].min) # from 1.0 to 0.1 } end end end end