Chart Captions

Time Series Charts

• Example: Sales trends by category on the Sales FDD Dashboard

• Data:

  	Order Date	Category	Sales
  0	2015	Furniture	170518
  1	2015	Office Supplies	104026
  2	2015	Technology	162781
  3	2016	Furniture	198901
  4	2016	Office Supplies	135095
  5	2016	Technology	226364
  6	2017	Furniture	215387
  7	2017	Office Supplies	179023
  8	2017	Technology	271731

• Caption:

  All three categories have seen a steady increase in sales from 2015 to 2017.

• Template:

  {% if df['Sales'].is_monotonic %}
  {% set trend = 'increase' if is_increasing(df['Sales']) else 'decrease' %}
  All {{ humanize(df[df.columns[1]].nunique()) }}
  {{ G.pluralize(df.columns[1]).lower() }} have seen a steady {{ trend }}
  in sales from {{ df['Order Date'].min() }} to {{ df['Order Date'].max() }}.
  {% end %}

• Notes: Arrays may have mathematical properties like monotonicty, which can be linked to semantics like "growth", "increase" or "decline". Non-negativity may be linked to "profitable"-ity. This particular example requires two features:

  • making nuggets conditional
  • changing a token to it's antonym depending on a given condition ("increase" vs "decrease")