Chart

The Chart Cell lets you visualize data from a table — either a DataFrame or a warehouse table — without writing any code.

1. Selecting the Data Source

• Pick a DataFrame or table from your warehouse.
• Only tabular sources are supported.

2. Choosing the Chart Type

Available chart types:

• Column charts: Grouped, Stacked, 100% Stacked
• Bar charts: Grouped, Stacked, 100% Stacked
• Line chart
• Area charts: Stacked, 100% Stacked
• Histogram
• Scatterplot
• Pie chart

3. Configuring the Chart

Data Tab

• X-axis: Select the column for the X-axis.
  • Options: scale type (Number, Datetime, Category), formatting, sorting.
• Y-axis: Add one or more series.
  • Set scale type, choose aggregation (sum, count, etc.).
• Split by: Break data into subplots or color groups using another column.
• Aggregation functions: Useful for summarizing data (e.g., sum of sales per month).

Style Tab

• Control colors, gridlines, labels, legend position, and other presentation settings.

4. Filtering Directly in the Chart

• Drag to select a region in the chart to keep or remove that subset of data.
• Works as a no-code filter.

Example Use Cases

• Sales trends over time: Line chart with Date on X-axis, Total Sales on Y-axis.
• Category distribution: Pie chart of Product Category vs. sales count.
• Price histogram: Histogram of Unit Price to understand distribution.
• Performance by region: Grouped bar chart split by Region.

Tip: Collapse the settings panel after configuration for a larger chart view.