visualisation   30580

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Predator and Prey interactive notebook
A brilliant example of what's possible with an interactive text book
data  science  visualisation  interactive  javascript 
26 minutes ago by garrettc
The Pudding
Explication de sujets à partir de data analysis
visualisation  de  data 
yesterday by JolinM
Interactive, Reactive Web Apps for Python
Dash is a Python framework for building analytical web applications. Built on top of Plotly.js, React, and Flask, Dash ties modern UI elements like dropdowns, sliders, and graphs to your analytical Python code.
plotlyjs  react  flask  python  visualisation  graphs  dashboard 
2 days ago by webdevotion
Ancient Earth - What the globe used to look like
Plot where your address would be throughout geological history.
earth  fun  history  visualisation  geology 
5 days ago by garrettc
KeyLines FAQS: How to work with the Time Bar - Cambridge Intelligence
Taking a closer look at the time bar to understand how it works and how you can incorporate it into your KeyLines network visualization applications.
keylines  visualisation 
6 days ago by mysty
Location + time: urban data visualization - MORPHOCODE
To visualize changes over time, we must first understand time itself. Different temporal models support different types of temporal primitives. Most often we use one of the three main types of temporal primitives: a time point; a time interval or a time span.

A time point or an instant is a single point in time. The time interval, on the other hand, has a duration and is constructed by two time points – a beginning and an end. We can think of time points as events, while intervals are associated with processes. The span is a directed amount of time units, for example, 12 days. It is a relative, unanchored temporal primitive without a fixed beginning on the time axis. In that sense time points and intervals are anchored or absolute temporal primitives, with a fixed location on the time axis.
design  visualisation  data-analysis  howto 
7 days ago by kmt

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