Search Results for "responsive"

A modern JavaScript charting library that allows you to build interactive data visualizations with simple API and 100+ ready-to-use samples. Packed with the features that you expect, ApexCharts includes over a dozen chart types that deliver beautiful, responsive visualizations in your apps and dashboards. ApexCharts is an MIT-licensed open-source project that can be used in commercial and non-commercial projects. You can create a combination of different charts, sync them and give your desired look with unlimited possibilities. Below is an example of synchronized charts with github style. ...

...Topological and network data i.e. flow diagrams, network visualization, and hierarchical views. A guide for creating a line chart, timeseries, difference line, and line percents using XYFrame along with hover behavior, responsive dimensions, and styling. XYFrame takes lines as an object or an array of objects. Each object represents a line. Every object needs a coordinates property with the array of points for that line. The points will be rendered in the order of that array. You can use a key other than coordinates by changing the lineDataAccessor props.

ECharts is a free and open source charting and visualization library that gives you an easy way to add interactive, intuitive, custom charts to your commercial products, projects, presentations and more. It offers a rich set of features that includes rendering ability for ten-million-level data, Wechart and Powerpoint support, multi-dimension data analysis, and more. It also has a number of extensions for various applications. ECharts is written in pure JavaScript, and is based on...

Observable Plot is a free, open-source JavaScript library to help you quickly visualize tabular data. It has a concise and (hopefully) memorable API to foster fluency — and plenty of examples to learn from and copy-paste. In the spirit of show don’t tell, below is a scatterplot of the height and weight of Olympic athletes (sourced from Matt Riggott), constructed using a dot mark. We assign columns of data (such as weight) to visual properties (such as the dot’s x), and Plot infers the rest....