Voice messaging for teams. Automated transcription. Echo fits perfectly between typing and "jumping on a quick callâ. Designed for remote teams and working from home. Click â and talk to your team instantlyClick and hold to record messages to teammates or channels. Instant delivery and playback. Listen to responses as they arrive or catch up later in message history. Speak, listen, and read. No ty
Turn data into stories worth sharing From data visualizations and interactive elements to immersive storytelling, Flourish empowers you to turn complex data into interactive visuals that wow your audience - whether you're an expert or just starting out. Your data, fully interactive Transform raw data into interactive visualizations that are as sleek as they are engaging. Say goodbye to static char
In todayâs world, people are struggling more and more with the problem of scattered attention. So it is becoming more and more important to present information in a structured, interesting and well-designed way, especially if you have a complex business application. Presenting huge chunks of data in a standard spreadsheet to analyze or to study is as inconvenient as it can get. Creating different
Generate chart images with a simple, open API Add charts to emails, reports, and anywhere else. Over 4 billion charts rendered for users around the world. Get started View hosted plans https://quickchart.io/chart?c={type:'bar',data:{labels:['Q1','Q2','Q3','Q4'], datasets:[{label:'Users',data:[50,60,70,180]},{label:'Revenue',data:[100,200,300,400]}]}} ⣠Embed charts anywhere. Our chart API generate
amCharts 5: Charts Insanely flexible, blindingly fast, a new kind of data-viz amCharts 5 is the newest go-to library for data visualization. When you donât have time to learn new technologies. When you need a simple yet powerful and flexible drop-in data visualization solution, backed with detailed docs and seriously efficient support. All the charts, single package Itâs easy with amCharts 5 â all
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We live in an era of data explosion, when nearly every application we develop uses or leverages data to improve the experience delivered to the users. Sometimes, the best feature we can deliver to our users is the data itself. However, table and number charts are often tiring to read and it can be hard to draw actionable insights from large data tables. Instead, we can use neat data visualization
This tutorial will cover the basics of how to use three Python plotting libraries â Matplotlib, Seaborn, and Plotly. After reviewing this tutorial you should be able to use these three libraries to: Plot basic bar charts and pie chartsSet up and customize plot characteristics such as titles, axes, and labelsSet general graphing styles/characteristics for your plots such as custom font and color ch
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