Integrating AnyChart JS Charts in Python Django Financial Trading Dashboard

December 3rd, 2024 by Michael Whittle

Financial Trading Dashboard Built with Python Django and AnyChart JavaScript ChartsWe are pleased to share an insightful article by Michael Whittle, a seasoned solution architect and developer with over 20 years of experience. Originally published on EODHD.com, it explores how he integrated our JavaScript charting library into a financial trading dashboard built with Python Django. Michael also shares his experience migrating a treemap from D3.js to AnyChart and explains why he chose our solution for implementing a stock chart, highlighting the intuitive code and enhanced functionality. Read on to discover how you can elevate your financial data visualizations in Python Django web applications with AnyChart JS Charts.

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Introducing AnyChart 8.13.0 for Elevated JavaScript Charting Experience

October 3rd, 2024 by AnyChart Team

A logo of AnyChart and the texts JavaScript Charting Library and 8.13.0AnyChart 8.13.0 is now available, bringing a set of new features and improvements designed to further elevate your data visualization experience. In this release, we’ve focused on enhancing the Timeline, Waterfall, and Circle Packing charts in our JavaScript charting library, making them even more flexible and user-friendly. Read on to explore what’s new!

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AnyChart Triumphs Again: Awarded Best in Data Analytics and Visualization in 2024

February 19th, 2024 by AnyChart Team

DEVIES Awards winner banner saying AnyChart was awarded Best in Data Analytics and Visualization in 2024We are delighted to announce that AnyChart has won the prestigious 2024 DEVIES Awards in the Data Analytics & Visualization category, marking our victory for the second consecutive year!

The award celebrates our JavaScript charting library, continuously acknowledged as the world’s leading data visualization solution for developers. As AnyChart JS forms the cornerstone of our broader product line, this recognition once again highlights the technological excellence and innovation inherent in our entire suite of offerings, including the extensions for Qlik Sense.

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Unwrapping Enhanced Interactivity for Calendar and Circle Packing Charts in AnyChart 8.12.0

December 7th, 2023 by AnyChart Team

AnyChart JS Charts 8.12.0 with Enhanced InteractivityAs the magic holiday season approaches, we’re thrilled to unwrap our latest gift of the year — AnyChart 8.12.0, the newest version of our powerful JavaScript charting library. Packed with various bug fixes and improvements, this release introduces a remarkable feature for Calendar and Circle Packing charts — interactivity events. Learn more about it and upgrade right now!

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Building Waterfall Charts in JS

November 2nd, 2023 by Awan Shrestha

Waterfall Chart and How to Build it in JavaScriptData visualization is an essential tool for understanding complex data sets and effectively conveying insights. Among the various types of charts and graphs used for this purpose, the waterfall chart stands out as a powerful way to represent changes in financial data, such as revenue, expenses, and profits over a specific period.

In this tutorial, we'll explore how to create a waterfall chart using JavaScript. To illustrate the process, we'll use the example of an income statement for a company, in this case, Twitter Inc.’s latest (and last) one.

Whether it’s to analyze a company's financial performance, project budgets, or inventory fluctuations, this step-by-step guide will help you easily create a useful interactive JS-based waterfall chart.

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How to Create Donut Chart Using JavaScript

June 13th, 2023 by Shachee Swadia

Interactive Donut Chart Built Using JavaScriptVisualizing data isn’t just insightful, it’s also a lot of fun! One of the simplest and most enjoyable charts you can create is the donut chart. And now, I will show you how to make an awesome interactive one using JavaScript effortlessly!

Aptly named because it looks like a donut, a donut chart is essentially a pie chart with a hole in the center. It can be nice for representing categorical data with a moderate number of categories, where each slice represents a percentage of the whole. Throughout this tutorial, we will apply the donut charting technique to visualize the impressive Grand Slam title tally of a tennis legend, Roger Federer. So you’ll have a real-world example to work with and enhance your understanding.

I’ll guide you through each step, ensuring a seamless learning experience. By the end of the tutorial, you’ll have all the skills and knowledge required to create your very own personalized and impressive JS donut chart. So let’s embark on this exciting journey and get started!

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AnyChart Named Best in Data Analytics & Visualization 🏆

February 3rd, 2023 by AnyChart Team

Best in Data Analytics & Visualization: AnyChartWe’re proud to announce that AnyChart has won a prestigious 2023 DEVIES Award in the Data Analytics & Visualization category! Many thanks to the jury and congratulations to all our partners and customers!

Celebrating 20 years in the market this year, we at AnyChart have been working hard to develop the best-in-class data visualization solutions. And we will keep innovating and excelling!

The DEVIES Awards are the definitive annual awards for the software industry, recognizing outstanding design, engineering, and innovation in developer technology across multiple categories. This year’s winners were selected from record-high hundreds of nominations by an expert-led panel of the DevNetwork Advisory Board, including representatives of Accenture, DigitalOcean, EA, Google, IBM, Salesforce, and other great companies.

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How to Create Stacked Chart with JavaScript

April 12th, 2022 by Shachee Swadia

A stacked chart on a laptop screen as a title illustration for this stack chart guideData visualization is a skill vital for analysts and developers in the current times. Stacked charts are one of the most widely used chart types, and now I want to tell you what they are and how to build such graphics with ease using JavaScript. In the main tutorial part, I will be creating different versions of a stacked chart, providing comprehensive step-by-step instructions to let you learn fast. My visualizations will offer a look at the medal counts for the top 10 countries on the final Beijing 2022 Winter Olympics leaderboard so you also have fun as you follow along.

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SunnyByte Chooses AnyChart for Native American Cancer Data Visualization

February 16th, 2022 by AnyChart Team

SunnyByte Chooses AnyChart for Native American Cancer Data VisualizationOut-of-the-box error bars and the ability to create a cool error chart without hassle have always been a major attraction of AnyChart, among other great features prompting developers to choose our JavaScript charting library. If you want to look at some real-world examples of such visualizations in action, Shen DeShayne, a partner at SunnyByte has recently brought a new interesting use case for them to our attention. The American Indian & Alaska Native Cancer Data website, his web development agency built for the University of New Mexico, represents information in interactive error charts powered by AnyChart. Learn more about the project and how our JS library is used, from a quick interview. (Stack: Craft CMS/Vue.js.)

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COVID-19 Risk Assessment App Pandemonium Uses AnyChart for Data Visualization

January 26th, 2022 by AnyChart Team

COVID-19 Risk Assessment App Pandemonium Using AnyChart for Data VisualizationWe continue to support initiatives addressing the pandemic crisis by providing them with a full-featured free license for any of our data visualization tools. Today we are honored to be among the first to talk about a new project that joined this program, an innovative COVID-19 risk assessment app and framework called Pandemonium where all charts and maps are powered by AnyChart.

Built by Quantum Risk Analytics, Inc., a charitable nonprofit founded by MIT alumni, Pandemonium uses sophisticated machine learning algorithms to more accurately model the disease spread and provide a highly personalized evaluation of infection risks. It’s not yet publicly launched as the developers want to add a few more major features and data sources before the official release. But the app is already in the testing phase that the team encourages anyone to join.

We asked Richard Hamlin, CEO at Quantum Risk Analytics, Inc., to tell us more about Pandemonium, how it works, and how our data visualization solutions are used. Read on to know all the details.

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