Plot

Visualize a dataset flexibly, depending on axes and metrics chosen

Parameters

Name	Type	Description	Is Optional
x_axis	x_axis	X-axis by which to view your data. Can be categorical, datetime, or numeric. If categorical, will output a bar chart. If datetime or numerical, will result in a line chart. Includes 'timeseries_options' for timeseries axis and 'bucket_count' for numeric axis.
aggregations	column_agg_list	numeric, quantitative values that you can measure
filters	filter_list	Filter logic on one or more columns. Can choose between a simple comparison filter or advanced filter using free text.	True
dimensions	column_list	Categorical column(s) by which to pivot the calculated metrics. Including this argument will generate a new metric calculation for each distinct value in the group by column. If this column has more than 20 distinct values, the plot will not generate.	True

Example

ds = rasgo.get.dataset(id)

ds2 = ds.aggregate_plot(
  x_axis={
      'column': 'ORDERDATE',
      'type': 'timeseries',
      'timeseries_options': {
          'start_date': '2021-02-01',
          'end_date': '2021-03-01',
          'time_grain': 'day',
      }
  }, aggregations= {
      'RAINFALL': ['SUM', 'AVG'],
      'SNOWFALL': ['SUM', 'AVG']
  })
ds2.preview()

Source Code

RasgoTransforms/plot.sql at main · rasgointelligence/RasgoTransformsGitHub