{% extends "layouts/base.html" %} {% block title %} Descriptive Statistics {% endblock %} {% block stylesheets %}{% endblock stylesheets %} {% block content %}
Descriptive Statistics
Dimension selection
  • Weekly Average Session Count per Customer
    Each customer's total unique session count per week is calculated. By using this aggregated date average session count per customer per week is calculated. This might give us the clue of which weeks the customers of engagement to the business are increased/decreased. In addition to that, It gives us information about the customers` session frequency per week.
  • Weekly Average Purchase Count per Customer
    Each customer's total order count per week is calculated. By using this aggregated date average order count per customer per week is calculated. This might give us the clue of which weeks the customers of order possibilities are increased/decreased. In addition to that, It gives us information about the customers` purchase frequency per week.
  • Payment Amount Distribution
    This chart is a histogram which shows the bins of total customers. Each bin represents a range of payment amounts related to purchased orders.
  • Weekly Average Payment Amount
    Average payment amount of orders user who has orders
Weekly Average Session Count per Customer {% if data_type['weekly_average_session_per_user'] == False %} sample data {% endif %}
Weekly Average Purchase Count per Customer {% if data_type['weekly_average_order_per_user'] == False %} sample data {% endif %}
Payment Amount Distribution {% if data_type['purchase_amount_distribution'] == False %} sample data {% endif %}
Weekly Average Payment Amount {% if data_type['weekly_average_payment_amount'] == False %} sample data {% endif %}
{% endblock content %} {% block javascripts %} {% endblock javascripts %}