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This is a list of 10 working graphs (bar chart, pie chart, line chart, etc.) with colors and data set up to render decent looking charts that you can copy and paste into your own projects, and quickly get going with customizing and fine-tuning to make them fit your style and purpose. To use these examples, make sure to also include Chart.js:
- An Introduction
The last thing we need to prepare before we can start...
- An Introduction
10 Νοε 2020 · Chart.js is an open-source data visualization library. HTML5 charts using JavaScript render animated charts with interactive legends and data points.
28 Οκτ 2024 · Follow this guide to get familiar with all major concepts of Chart.js: chart types and elements, datasets, customization, plugins, components, and tree-shaking. Don't hesitate to follow the links in the text. We'll build a Chart.js data visualization with a couple of charts from scratch: # Build a new application with Chart.js
12 Μαΐ 2016 · You can still use chart.js exporting as PDF with PhantomJs (a headless browser that will open a html page with your charts, and save it via PDF). If you are working with nodejs there's a good library that abstracts PhantomJs and make the PDF easy: https://github.com/sindresorhus/pageres .
11 Φεβ 2023 · Chart.js is a great way to bring data to life with dynamic and visually appealing charts. It’s a powerful and (mostly) easy-to-use JavaScript library that provides a wide range of chart types....
Plotly.js can be used to produce dozens of chart types and visualizations, including statistical charts, 3D graphs, scientific charts, SVG and tile maps, financial charts and more. Contact us for Plotly.js consulting, dashboard development, application integration, and feature additions.
18 Φεβ 2022 · Add converted chart image to the pdf doc with jsPDF's addImage() method; As we are adding multiple charts, create a new pdf page when needed; Download generated pdf doc using jspdf's save() method; Now let's implement all these. Install jsPDF and htmlToImage packages:
