- Making sense of Plotly for interactive visualizations in Python https://towardsdatascience.com/its-2019-make-your-data-visualizations-interactive-with-plotly-b361e7d45dc6?sk=ad9ff3eda197071e6b056abe23c1509e&source=friends_link 31 comments datascience
Linking pages
Linked pages
- Shiny http://shiny.rstudio.com/ 89 comments
- Bokeh documentation — Bokeh 2.4.3 Documentation http://bokeh.pydata.org/en/latest/ 66 comments
- D3.js - Data-Driven Documents http://d3js.org/ 55 comments
- Plotly: Low-Code Data App Development https://plot.ly 48 comments
- Matplotlib — Visualization with Python http://matplotlib.org/ 45 comments
- PEP 20 – The Zen of Python | peps.python.org https://www.python.org/dev/peps/pep-0020/ 43 comments
- Medium https://medium.com/m/signin?isDraft=1&operation=login&redirect=https%3A%2F%2Fmedium.com%2F%40jamie_34747%2F79d382edf22b%3Fsource%3D 19 comments
- ✨ Introducing Plotly Express ✨. Plotly Express is a new high-level… | by Plotly | Plotly | Medium https://medium.com/@plotlygraphs/introducing-plotly-express-808df010143d 1 comment
- Data Visualization | Microsoft Power BI https://powerbi.microsoft.com/en-us/ 0 comments
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