---
title: "Polar Chart Widget"
slug: "polar-chart-widget"
updated: 2026-03-30T12:25:51Z
published: 2026-03-30T12:25:51Z
canonical: "docs.bazefield.com/polar-chart-widget"
stale: true
---

> ## Documentation Index
> Fetch the complete documentation index at: https://docs.bazefield.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Polar Chart Widget

The **Polar Chart Widget** visualizes data in a radial coordinate system, ideal for directional data analysis such as wind rose diagrams. Data points are plotted on a circular grid defined by a theta (angular) axis and a radial axis.

![Polar Chart Widget showing a wind rose with Active Power distributed across 12 directional bins](data:image/jpeg;base64,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)Polar Chart Widget showing a wind rose with Active Power distributed across 12 directional bins

In this example, Active Power values are binned into 12 angular sectors (30° each), creating a classic wind rose pattern. The radial axis shows power magnitude in kW, while labels around the perimeter show aggregate values per direction.

---

## **Key Features**

### **Chart Types**

Three rendering modes are available:

- **Vertical bar** (Column) — Bars radiating outward from center, ideal for wind roses.
- **Line** — Connected points forming a polar line chart.
- **Area** — Filled area chart for showing distribution density.

![Close-up of a Polar Chart in column mode showing directional data distribution](data:image/jpeg;base64,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)Close-up of a Polar Chart in column mode showing directional data distribution

### **Directional Binning**

Data can be aggregated into configurable angular bins. The bin count determines how many sectors the 360° circle is divided into (e.g., 12 bins = 30° sectors). Binning uses a configurable **Grouping** method to aggregate values within each sector.

### **Polar Geometry Control**

- **Start / End angle** — Define a partial arc (e.g., 0°–180° for a half-rose).
- **Grid interpolation** — Choose between **Circle** (smooth curves) or **Polygon** (angular grid lines).
- **Radius axis** — Set min/max values or leave blank for automatic scaling.

### **Data Sources**

- **Point** — Standard metric values mapped to theta and radial axes.
- **Availability Statistics** — Availability-related metrics for directional analysis.

---

## **Configuration**

To configure the Polar Chart, see the [Polar Chart configuration guide](/product/docs/polar-chart).