QuickChart.io Power Apps Component Library
QuickChart.io is a powerful and user-friendly online tool that allows you to create and customize professional charts and graphs with ease. Whether you need to visualize data for business presentations, reports, or any other purpose, QuickChart.io offers a seamless and efficient solution. With just a few simple steps, you can generate stunning charts in various formats, including bar graphs, line charts, pie charts, and more.
With the Power Apps charts being somewhat limited, QuickChart.io provides a great alternative to enhance your Power Apps, this Power Apps Component library provides components for the following: (more coming soon)
A graphical representation of data using rectangular bars to compare values.
A visual representation of data points connected by lines, showing trends over time or continuous data.
A chart that displays multivariate data in the form of a two-dimensional graph with radial axes originating from a central point.
A circular visualization that indicates the measurement of a single variable on a radial scale.
A gauge-like chart that resembles a car speedometer, used to display a single value within a predefined range.
A two-dimensional barcode that can be scanned to quickly access information or URLs using a smartphone or QR code reader.
A visual representation of text data, where words are displayed in varying sizes based on their frequency or importance.
A small, condensed line chart typically used to display trends or patterns in data in a compact space.
A circular chart divided into sectors, illustrating the proportionate distribution of categorical data.
Similar to a pie chart, but with a hollow center, displaying the distribution of data in a ring-like shape.
A chart that uses radial and angular coordinates to represent data points, typically used for displaying cyclical or periodic data.
A plot of data points on a graph, used to observe relationships between two variables.
A variation of a scatter chart where data points are represented as bubbles, with the size of each bubble indicating an additional data dimension.