D3 allows you to bind arbitrary data to a Document Object Model (DOM), and then apply data-driven transformations to the document. For example, you can use D3 to generate an HTML table from an array of numbers. Or, use the same data to create an interactive SVG bar chart with smooth transitions and interaction.
D3 is not a monolithic framework that seeks to provide every conceivable feature. Instead, D3 solves the crux of the problem: efficient manipulation of documents based on data. This avoids proprietary representation and affords extraordinary flexibility, exposing the full capabilities of web standards such as HTML, SVG, and CSS. With minimal overhead, D3 is extremely fast, supporting large datasets and dynamic behaviors for interaction and animation. D3’s functional style allows code reuse through a diverse collection of official and community-developed modules.
Build advanced charts for Notion in a minute 1. Pick your chart type: bars, calendars, KPI, radar,... 2. Prepare your data: group, split, filter, sort 3. Customise that chart: from colors to axis rotation, and legend position 4. Import your chart to Notion
🌟 What you can do? - The chart you want: bars, lines, pie/donut, single KPI, radars - Unlimited number of rows while loading quickly - Multi-series: display multiple columns in the same chart - Filter rows: keep only the relevant data, ie keep only rows with the date of today or after a specified date, hide empty rows, ... - Splits: divide your data with another value like a label - Customization: not only colors but a bunch of other customization parameters like line styles, labels, value format (dollar, rounded value,...) - Dark mode compatible with Notion - Public link: for publishing on your own website: made with Notion or any other tool - Row as series: visualize a single row as a chart
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The UI for editing charts and the amount of customization you can perform is way better than the service offered by competitors. The support team is super reactive as well.
Based on our record, D3.js seems to be more popular. It has been mentiond 159 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Yes this was done with a combination of GSAP Scrolltrigger https://gsap.com/docs/v3/Plugins/ScrollTrigger/ and https://d3js.org/. - Source: Hacker News / 18 days ago
d3 - very power visualization library enabling dynamic visualizations. docs. - Source: dev.to / about 1 month ago
Yep, Evidence is doing good work. We were most directly inspired by VitePress; we spent months rewriting both D3’s docs (https://d3js.org) and Observable Plot’s docs (https://observablehq.com/plot) in VitePress, and absolutely loved the experience. But we wanted a tool focused on data apps, dashboards, reports — observability and business intelligence use cases rather than documentation. Compared to Evidence, I’d... - Source: Hacker News / 3 months ago
They are images so it could be any number of things, datawrapper, charts.js, d3.js to name a few options. Source: 5 months ago
I made this interactive visualization that attempts to show the real-time frequency and location of births around the world. A country’s annual births (i.e. The country’s population times its birthrate) were distributed across all of the populated locations in each country, weighted by the population distribution (i.e. More populated areas got a greater fraction of the births). Data Sources and... Source: 5 months ago
Chart.js - Easy, object oriented client side graphs for designers and developers.
Notion Charts - Generate embeddable charts, beautifully optimized for Notion
Plotly - Low-Code Data Apps
Notion2Charts - Notion2Charts is an easy to use online tool to generate beautiful embeddable charts from your Notion databases.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application
ChartBrick - Visualize your data (from Notion, Airtable, Stackby, MySQL, CSV, JSON) as insightful charts and make it more understandable. You can also download these charts as images and embed them in Notion pages or anywhere else.