Overview

A Pie Chart is used to represent proportions of a whole, displaying data as slices of a circle. Each slice corresponds to a category and its relative contribution to the total. This type of visualization is ideal for understanding distribution and comparison at a glance.

When to Use

• To show proportions of a dataset where categories contribute to a whole.
• To compare relative sizes of groups without focusing on trends over time.
• To simplify categorical data into an easily interpretable format.

Data Structure

A Pie Chart requires:

• Legend: A categorical field that defines different slices (e.g., Product Family, Department, Category).
• Measures: A numerical field representing the values that define the size of each slice (e.g., Sales, Revenue, Units Sold).
• Color(Optional): Used to set the color of the chart based on categories or numerical values (intensity-based coloring, or using a categorical field for distinct colors).
• Tooltips(Optional): Show additional details when hovering over bars.
• Filters (Optional): Used to refine the data displayed by the chart (e.g., filtering by month, region, or product type).

Example Data Structure

product_family	store_sales	store_cost
Drink	4802.03	1925.31
Food	41484.40	16562.05
Non-Consumable	10679.21	4258.77

Comparing a Single Measure

Comparing Multiple Measures