R programming tips for data cleaning, data visualisation, statistical modelling and machine learning
$ npx skills add erikaduan/r_tipsAlternatives
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R Weekly
R programming tips for data cleaning, data visualisation, statistical modelling and machine learning
$ npx skills add erikaduan/r_tips”数学不难“ 之 《线性代数不难》上下册,66话题完册;欢迎批评指正
$ npx skills add Visualize-ML/Linear-Algebra-Made-Easy---Learn-with-Python-and-VisualizationBring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
$ npx skills add d3/d3Reusable JavaScript library for creating sketchy/hand-drawn styled charts in the browser.
$ npx skills add jwilber/roughViz🐯 visx | visualization components
$ npx skills add airbnb/visxOpen-source JavaScript charting library behind Plotly and Dash
$ npx skills add plotly/plotly.jsmatplotlib: plotting with Python
$ npx skills add matplotlib/matplotlibWebGL2 powered visualization framework
$ npx skills add visgl/deck.gl📊 Interactive JavaScript Charts built on SVG
$ npx skills add apexcharts/apexcharts.jsStatistical data visualization in Python
$ npx skills add mwaskom/seabornVisually explore, understand, and present your data.
$ npx skills add microsoft/SandDancePython Data. Leaflet.js Maps.
$ npx skills add python-visualization/foliumThe fastest way to turn a Jupyter notebook into a beautiful, shareable web app — no callbacks, no frontend, no rewrite.
$ npx skills add mljar/mercuryA concise API for exploratory data visualization implementing a layered grammar of graphics
$ npx skills add observablehq/plotGramm is a complete data visualization toolbox for Matlab. It provides an easy to use and high-level interface to produce publication-quality plots of complex data with varied statistical visualizations. Gramm is inspired by R's ggplot2 library.
$ npx skills add piermorel/grammThe code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.
$ npx skills add tuangauss/DataScienceProjectsHow to choose
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