d3-scale-chromatic
d3-scale
d3-scale-chromatic | d3-scale | |
---|---|---|
5 | 8 | |
793 | 1,571 | |
0.1% | -0.1% | |
5.0 | 3.0 | |
2 months ago | 7 months ago | |
JavaScript | JavaScript | |
GNU General Public License v3.0 or later | ISC License |
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d3-scale-chromatic
- How to pick more beautiful colors for your data visualizations
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TypeScript, VisX
Effectively what you’ll want to do is use one of the helper functions like scaleLinear combined with d3-scale-chromatic. Take the min and max of the temperatures to set your domain to the linear scale and then apply that to an interpolator (something like interpolateRdBu from https://github.com/d3/d3-scale-chromatic). Then add your styling through CSS/React!
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How can better diversify the colors on my heat map?
here's a great programmatic way of consuming color scales: https://github.com/d3/d3-scale-chromatic
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Emacs as your code-compass: who can I ask for help?
I had some difficulty telling colors apart in the xmonad diagram, did you consider using a categorical scale?
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Introducing colorgrad, Rust color-scales library
The original names in D3 is snake case like YlGnBu, PiYG, PuOr. See: https://github.com/d3/d3-scale-chromatic/
d3-scale
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What libraries should I use to recreate a UI like this?
https://github.com/d3/d3-scale for the linear scale mostly
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Open Source Adventures: Episode 28: Introduction to D3
scale system
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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.
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Build Data Visualizations with React
d3-scale Documentation
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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.
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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.
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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.
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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?
colorgrad-rs - Rust color scales library
visx-linechart - visx line chart example with interactive crosshair and tooltip
visual-system-simulator - Framework for simulating deficiencies and other aspects of the human visual system
chakra-ui - ⚡️ Simple, Modular & Accessible UI Components for your React Applications
MetBrewer - Color palette package in R inspired by works at the Metropolitan Museum of Art in New York
Altair - Declarative statistical visualization library for Python
React - The library for web and native user interfaces.
d3-geo - Geographic projections, spherical shapes and spherical trigonometry.
restcountries - Get information about countries via a RESTful API
d3 - Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
leather - Python charting for 80% of humans.
react-vis - Data Visualization Components