You can use jsonEncode() function in dart:convert to convert data in Dart object form: source: $,īecause JavaScript don't have ''', you can use this operator to reduce some escape operators for quotas: Echarts( Container(ĭata: ĭata: ,ĮCharts is mainly configured by passing a string value to the JavaScript option property. The flutter_echarts package itself is very simple to use, just like a common statelessWidget:ĭetails about the option object is in the Echarts docs or Echarts examples. Now in your Dart code, you can use: import 'package:flutter_echarts/flutter_echarts.dart' Installing #Īdd this to your package's pubspec.yaml file: dependencies: In this way, you can copy these scripts to your source code without being confusing by assets dirs. The extensions property allows you to inject the extension scripts as raw strings. The onMessage and extraScript properties provide a way to set two-way event communication between Flutter and JavaScript.ĮCharts has a lot of extensions. ![]() The charts automatically re-render when data in the option property changes. Thanks to ECharts' data driven architecture, flutter_echarts implements a reactive way to connect charts with data. The most exciting feature of Flutter widgets and React components is that the view can update reactively when data changes. ![]() We recommend the Flutter charting library Graphic as an alternative. ![]() Since it is based on webview, this library has some inextricable instability and performance issues. Var words = neodata.name_Column.A Flutter widget to use Apache ECharts in a reactive way. ĭata_counts.push(parseInt(key.raw_data)) The magic is that all the tags in a word cloud chart will get their size and color automatically after you write the values and put the languages in categories in the data object: // set the data Go to Wikipedia: List of languages by total number of speakers and obtain the data from there: Language In the present case, a tag (word) cloud chart will be used to demonstrate the 15 most spoken languages. Visit Chartopedia, a handy tool that will tell you more about each chart type and how to use one. The most valuable part of any chart is data. So you should always carefully choose the chart type depending on exactly what you want to visualize and for what purpose. Then, add the necessary An圜hart JavaScript charting library links into the section in the tags: ![]() The width and height parameters are responsible for the chart size, and you can specify them in percentages or in pixels to make the chart fill as much page space as you want. The container that you see in the section is intended for your future chart. Just follow them, and it won’t take you long to make your text data visualization look like this:įirst of all, create an HTML page where your JavaScript word cloud chart will appear. Generally speaking, there are four basic steps to create a chart of any type using JavaScript. Now that we’ve got an idea of what a word cloud is, let’s get down to learning how to quickly code one using JavaScript! Wondering how to make a beautiful interactive Word Cloud using JS? Then you’re in the right place! In this data visualization tutorial, I’ll guide you through the entire development process, demonstrating it’s easier to create a JavaScript word cloud chart for an HTML5 app or web page than you might think!Īlso known as tag clouds, word clouds represent a popular visual technique designed to reveal how often tags (or basically, any words) are mentioned in a given text body. Essentially, the word cloud chart type leverages diverse colors and sizes to display at a glance different levels of relative prominence.
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