{% extends "layouts/base.html" %} {% block title %} Stats Purchase {% endblock %} {% block stylesheets %}{% endblock stylesheets %} {% block content %}
Purchase Of Statistics
Dimension selection
  • Daily Orders
    Total number of orders per day. Total number of unique session IDs which has has_purchase (has_purchase = True) breakdown with day.
  • Hourly Orders
    Average of total order count per day. Total number of order count per day and per hour is aggregated. Next step is calculating average order count per hour by using aggregated data from the previous step.
  • Weekly Orders
    Total number of orders per week. Each week is represented by Mondays.
  • Monthly Orders
    Total number of orders per month; total number of purchase unique session IDs are counted per month.
Daily Orders {% if data_type['daily_orders'] == False %} sample data {% endif %}
Hourly Orders {% if data_type['hourly_orders'] == False %} sample data {% endif %}
Weekly Orders {% if data_type['weekly_orders'] == False %} sample data {% endif %}
Monthly Orders {% if data_type['monthly_orders'] == False %} sample data {% endif %}
{% endblock content %} {% block javascripts %} {% endblock javascripts %}