ggplot2
Matplotlib
Plotly
GnuPlot
Bokeh
Seaborn
Shiny
Tableau
D3.js
Chart.js
Highcharts
Plotly
Google Charts
Pixi.js
RAWGraphs
AnyChart
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.
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Based on our record, D3.js seems to be a lot more popular than ggplot2. While we know about 167 links to D3.js, we've tracked only 11 mentions of ggplot2. 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.
For random, quick and dirty, ad-hoc plotting tasks my default is GNUPlot[1]. Otherwise I tend to use either Python with matplotlib, or R with ggplot2. I keep saying I'm going to invest the time to properly learn D3[4] or something similar for doing web-based plotting, but somehow never quite seem to find time to do it. sigh [1]: http://www.gnuplot.info/ [2]: https://matplotlib.org/ [3]:... - Source: Hacker News / almost 2 years ago
I got the list of five-letter words from the words package in R, created the QWERTY keyboard grid with base R and tibble, and visualized the data with geom_tile in the ggplot2 package. Source: almost 2 years ago
Thanks, it's an interesting idea! I definitely could implement this with scale_fill_gradientn) in ggplot2. Source: almost 2 years ago
I used the ggplot2 package in R to create these figures. Source: almost 2 years ago
This might not be at the top of your list, but science fiction often presents advanced data analysis and visualization technologies. Open source data analysis tools such as Python's Pandas and R's ggplot2 have revolutionized the field, making complex data manipulation and visualization accessible to all. In the science fiction novel The Martian, astronaut Mark Watney uses a variety of data analysis and... - Source: dev.to / almost 2 years ago
Do you mean something for data visualization, or tricks condensing large data sets with cursors? https://d3js.org/ Best of luck =3. - Source: Hacker News / about 2 months ago
Document address: D3.js Official Document. - Source: dev.to / 4 months ago
D3.js: One of the most popular JavaScript visualization libraries. - Source: dev.to / 7 months ago
A Dependency is an npm package that our code depends on in order to be able to run. Some popular packages that can be added as dependencies are lodash, D3, and chartjs. - Source: dev.to / 7 months ago
RacingBars is an open-source, light-weight (~45kb gzipped), easy-to-use, and feature-rich javascript library for bar chart race, based on D3.js. - Source: dev.to / 9 months ago
Matplotlib - matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
Chart.js - Easy, object oriented client side graphs for designers and developers.
Plotly - Low-Code Data Apps
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application
GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.
Bokeh - Bokeh visualization library, documentation site.