d3-format
d3-scale
d3-format | d3-scale | |
---|---|---|
2 | 8 | |
617 | 1,571 | |
0.2% | -0.1% | |
3.0 | 3.0 | |
7 months ago | 7 months ago | |
JavaScript | JavaScript | |
ISC License | 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.
d3-format
-
Open Source Adventures: Episode 28: Introduction to D3
printf like formatting
-
Charticulator: Change format of text
Format strings are super-documented here: https://github.com/d3/d3-format#format
d3-scale
-
What libraries should I use to recreate a UI like this?
https://github.com/d3/d3-scale for the linear scale mostly
-
Open Source Adventures: Episode 28: Introduction to D3
scale system
-
A chart walks into a bar: Altair vs. leather
On the other hand, for the Y-axis, both charts present a scale with the same domain, ending in a nice round value (100). However, the number of ticks is different.
-
Build Data Visualizations with React
d3-scale Documentation
-
Building a Line Chart in React with VisX
Let's start small and build axes. To build axes, we need to define scales first. Under the hood VisX uses d3, so we it's really useful to review d3 scales documentation. D3 will use math to help translate our numbers to pixel locations inside the container.
-
Simple bar chart with React and D3 📊
Before we render our horizontal axis, we have to remember about scales. Scales are functions that are responsible for mapping data values to visual variables. I don't want to dive too deep into this topic, but if you're interested in further reading, you can check out scales documentation. We want our x-axis to display labels from data, so for this we will use scaleBand.
-
Build cool charts and visualize data with d3.js
We have used several utilities methods from d3 part of the scale module to correctly map our axis with the datas (scaleLinear, scaleBand). If you open your navigator you see now an svg element with two axis but no data yet.
-
How can better diversify the colors on my heat map?
Ah, sorry–misunderstood. Looking at your data it seems like you‘re mapping the raw values to color values, and you seem to have an extreme difference between values (high standard deviation). Try something like d3-scale to normalize the values and make them closer together (to be clear: you should still display the correct values to the user, but when visualizing them, you can use a more logarithmic scale to get a better color spread).
What are some alternatives?
d3-array - Array manipulation, ordering, searching, summarizing, etc.
visx-linechart - visx line chart example with interactive crosshair and tooltip
d3-geo - Geographic projections, spherical shapes and spherical trigonometry.
chakra-ui - ⚡️ Simple, Modular & Accessible UI Components for your React Applications
d3-fetch - Convenient parsing for Fetch.
MetBrewer - Color palette package in R inspired by works at the Metropolitan Museum of Art in New York
vue-query - Hooks for fetching, caching and updating asynchronous data in Vue
Altair - Declarative statistical visualization library for Python
d3-selection - Transform the DOM by selecting elements and joining to data.
d3-scale-chromatic - Sequential, diverging and categorical color scales.
d3-random - Generate random numbers from various distributions.
React - The library for web and native user interfaces.