scientific-visualization-book
d3
Our great sponsors
scientific-visualization-book | d3 | |
---|---|---|
17 | 277 | |
10,057 | 107,634 | |
- | 0.3% | |
3.6 | 8.0 | |
3 months ago | 18 days ago | |
Python | Shell | |
GNU General Public License v3.0 or later | ISC License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
scientific-visualization-book
- Scientific Visualization: Python and Matplotlib
-
Which latest DS Skill you are working on currently?
knowing matplotlib really well gets really pro viz tbh, this https://github.com/rougier/scientific-visualization-book is the best resource for it imo. Its a bit more work but you can get really great results
- Book or web book recommendation request: a data visualization cookbook using Python for scientists.
-
What's New in Matplotlib 3.6.0
I had the same problem until I found this tutorial:
https://github.com/rougier/matplotlib-tutorial
If you wan something deeper the same person has written a book:
https://github.com/rougier/scientific-visualization-book
-
looking for scientific visualization book in julia
i saw this one : > https://github.com/rougier/scientific-visualization-book
- Scientific-Visualization-Book - None
- 📘 An open access book on scientific visualization using python and matplotlib, h/t @MikeTamir
-
Dyson hatching (dungeon map)
I re-created the hatching using matplotlib as shown here.
-
Dungeon map rendering using matplotlib
From the open access book "Scientific Visualization: Python + Matplotlib. Code: dungeon.py
-
Ask HN: What is the best book on data visualization in 2021?
For python this open access book is excellent: https://github.com/rougier/scientific-visualization-book
d3
-
A visual guide to Vision Transformer – A scroll story
Yes this was done with a combination of GSAP Scrolltrigger https://gsap.com/docs/v3/Plugins/ScrollTrigger/ and https://d3js.org/
- Ask HN: Tips to get started on my own server
-
Full Stack Web Development Concept map
d3 - very power visualization library enabling dynamic visualizations. docs
-
Observable 2.0, a static site generator for data apps
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 say we’re trying to target data app developers more than data analysts; we offer a lot of power and expressiveness, and emphasize custom visualizations and interaction (leaning on Observable Plot or D3), as well as polyglot programming with data loaders written in any language (Python, R, not just SQL).
-
Using Deno with Jupyter Notebook to build a data dashboard
D3.js: A robust library to visualize your data and create interactive data-driven visualizations.
-
What is the technology stack used to create these live charts?
They are images so it could be any number of things, datawrapper, charts.js, d3.js to name a few options.
-
Animated map showing frequency and location of births around the world [OC]
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 Tools Population and birthrate data for 2023 was obtained from Wikipedia (Population and birth rates). Population distribution across the globe was obtained from Socioeconomic Data and Applications Center (sedac) at Columbia University. Data is processed and visualized at a 1 degree x 1 degree resolution, each of which has a different probability of a birth occurring in a specific time period. D3.js was used to create the map elements and html, css and javascript were used to create the user interface.
-
How do you implement library types?
When I go to the homepage of types/d3 the only hint for any kind of documentation is what seems to be the main github page of d3. It's highly possible I'm missing something here, so sorry if I am but I can't find any documentation of how you are supposed to type these library objects.
-
The top 11 React chart libraries for data visualization
Website: D3.js official site
-
Frontend development roadmap
D3js
What are some alternatives?
datatable - A Python package for manipulating 2-dimensional tabular data structures
echarts - Apache ECharts is a powerful, interactive charting and data visualization library for browser
sktime - A unified framework for machine learning with time series
GoJS, a JavaScript Library for HTML Diagrams - JavaScript diagramming library for interactive flowcharts, org charts, design tools, planning tools, visual languages.
db-benchmark - reproducible benchmark of database-like ops
vis
DataFrame - C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
d4 - A friendly reusable charts DSL for D3
Altair - Declarative statistical visualization library for Python
svg.js - The lightweight library for manipulating and animating SVG
oz - Data visualizations in Clojure and ClojureScript using Vega and Vega-lite
sigma.js - A JavaScript library aimed at visualizing graphs of thousands of nodes and edges