Plotly
plotly.js abstracts the types of statistical and scientific charts that you would find in packages like matplotlib, ggplot2, or MATLAB. d3.json('https://plotly.com/~DanielCarrera/13.json', function(figure){ var trace = { x: figure.data[0].x, y: figure.data[0].y, z: figure.data[0].z, type: 'contour', autocolorscale: false, colorscale: [[0,"rgb( 0, 0, 0)"],[0.3,"rgb(230, 0, 0)"],[0.6,"rgb(255,210, 0
These are the best JavaScript chart libraries for 2019
By Arthur Puszynski First, a brief history: With data collection and use continuing to increase exponentially, the need to visualize this data is becoming more important. Developers seek to consolidate millions of database records into beautiful charts and dashboards that humans can quickly and intuitively interpret. Data visualization technology has continued to improve over the past decade and m
AwesomeChartJS
Easy to use Just create a new AwesomeChart object and pass the canvas element's id as a parameter to the constructor. Then set the chart's data and call the object's draw() method. That's it! Your chart is ready! Fully customizable Control how your chart looks by defining: Font styles Fill and stroke styles for bars and pies Margin sizes
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Data Visualization With DataTables.js and Highcharts.js | Envato Tuts+
