Overview

A Line Chart is used to visualize trends over time by connecting data points with lines. It is useful for showing changes, patterns, and relationships across different time periods.

When to Use

• To analyze trends over time (e.g., sales over months).
• To compare multiple series of data over the same time period.
• To detect seasonal patterns or variations in data.

Data Structure

A Line Chart requires:

• X-Axis: A time-based dimension (e.g., the_date(Month)).
• Measures: One or more numerical fields representing the trend data (e.g., store_sales, store_invoice, store_cost).
• Legend (Optional): A categorical field that differentiates the lines (e.g., store_type).
• 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 plot area.
• Filters (Optional): Used to refine the displayed data (e.g., filtering by region, product category).

How to Configure

Single Measure Line Chart

Example Data Structure

the_date(Month)	store_type	store_sales
1998-11	Supermarket	49606.44
1998-09	Deluxe Supermarket	47535.31
1998-04	Deluxe Supermarket	40525.14
1998-05	Deluxe Supermarket	39642.43
1998-04	Supermarket	35456.96
1998-07	Supermarket	33860.21
1998-11	Gourmet Supermarket	11314.79
1998-01	Gourmet Supermarket	9928.90
1998-01	Mid-Size Grocery	9188.15
1998-03	Gourmet Supermarket	9146.81

Example: The following example shows store sales trends across different store types.

Multiple Measure Line Chart

Example Data Structure

the_date(Month)	store_sales	store_invoice	store_cost
1998-11	113787.84	15911.64	45669.87
1998-09	101378.60	15141.37	40612.14
1998-07	98943.44	14918.34	39754.67
1998-03	98219.90	13997.53	39368.83
1998-01	98155.28	15148.30	39239.18
1998-06	97050.04	15433.66	38995.82

Example: The following example visualizes store sales, store invoice, and store cost over time.