From the website:
The Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, machine learning and much more.
https://www.sitepoint.com/d3-js-data-visualizations/ ?
D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
Github Repo: https://github.com/mikesall/charted
Medium post with a good overview of the tool:
https://medium.com/data-lab/introducing-charted-15161b2cd71e
spark 0 30 55 80 33 150
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› curl http://earthquake.usgs.gov/earthquakes/catalogs/eqs1day-M1.txt --silent |
sed '1d' |
cut -d, -f9 |
spark
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https://github.com/knsv/mermaid ᔥ
Now ya’ll know I love me some Markdown, and while this isn’t quite a pretty to read in text format as Markdown is, mermaid scratches a similar itch for me. It provides a way to represent flowcharts and diagrams using text, making it easy to easily store and compare them in your source control repository.
graph LR;
A[Hard edge]-->|Link text|B(Round edge);
B-->C{Decision};
C-->|One|D[Result one];
C-->|Two|E[Result two];
Additional examples here: http://www.sveido.com/mermaid/demo/html/web.html
