Overview

A Calendar Chart is used to visualize data over a time period in a heatmap format. It represents values for each day of the year, with different intensities of color indicating higher or lower values. This type of chart is useful for identifying trends, seasonality, and anomalies within time-based data.

When to Use

• To analyze daily trends over a year or longer periods.
• To detect patterns of high or low activity across different days.
• To compare performance across different years or categories.

Data Structure

A Calendar Chart requires:

• Date: A date-type field that represents the timeline (e.g., the_date).
• Measure: A numerical field representing the values mapped to the heatmap (e.g., store_sales).
• Color (Optional): A numerical field to define the color intensity (e.g., store_sales to visualize sales volume by day).
• Tooltips (Optional): Additional information to be displayed when hovering over data points.
• Filters (Optional): Used to refine the displayed data (e.g., filtering by region, category, or year).

Example Data Structure

the_date	store_sales
2023-01-01	1200
2023-01-02	950
2023-01-03	1800
2023-01-04	2000
2023-01-05	1700
2023-01-06	1400

Example

The following example visualizes store sales distributed across the calendar year.