467 Open source projects that are alternatives of or similar to Ggstatsplot

Visual exploration of clustered data.

Dockerfiles for data science in OCaml on Jupyter

Population assignment analysis using R

Basic tutorial for ESMPy Python package

Generate graphs with gnuplot or matplotlib (Python) from sar data

The World, according to Donald Trump

Complied Resources for learning Machine Learning & Data Science

▁▅▆▃▅ Git quick statistics is a simple and efficient way to access various statistics in git repository.

MATLAB Toolbox for Handling 2D and 3D FEM Meshes

Examples of using Neptune to keep track of your experiments (maintenance only).

Glimma R package

Additional themes, scales, and geoms for ggplot2

⏰📊✨Laravel Time Series - Provides an API to create and maintain data projections (statistics, aggregates, etc.) from your Eloquent models, and convert them to time series.

WebGL Heatmap Viewer for Big Data and Bioinformatics

A Bayesian model for compositional single-cell data analysis

🚀 Build and manage real-life data science projects with ease!

R One-Liners from the Shell

List of Data Science and Machine Learning Resource that I frequently use

A Jupyter notebook where I play with my Goodreads data

DITRAS (DIary-based TRAjectory Simulator), a mathematical model to simulate human mobility

Create D3 based SVG graphics easily from R

python tool to read and plot Geophysical Survey Systems Incorporated (GSSI) radar data

Produce publication-level quality images on top of Matplotlib

Plotly for Rust

Baixa as planilhas de salários de magistrados, extrai os contracheques, limpa e exporta pra CSV

Lista de cursos de Data Science en Chile 📈📊🇨🇱

VS Code Jupyter extension

👨‍🏫 ggplot2 Teaching Material

Haskell bindings for Python's Matplotlib

A Clojure high performance data processing system

📊 My contributions to the #TidyTuesday challenge

Understanding emotions from audio files using neural networks and multiple datasets.

Cividis color scale for R

An OCaml kernel for Jupyter (IPython) notebook

Repository of publicly available talks by Leon Eyrich Jessen, PhD. Talks cover Data Science and R in the context of research

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

📈 Iced backend for Plotters

🌐 Guide and tools to run a full offline mirror of Wikipedia.org with three different approaches: Nginx caching proxy, Kimix + ZIM dump, and MediaWiki/XOWA + XML dump

3D geographic visualization library

Repo that contains the supporting material for O'Reilly Webinar "An Intro to Predictive Modeling for Customer Lifetime Value" on Feb 28, 2017

Open-source list of awesome data visualization tools (e.g., charting libraries) for software developers 📊📈

The Renku Project provides a platform and tools for reproducible and collaborative data analysis.

A visual editor for the world's best web charting tool: Highcharts.

A {K}otlin g{ra}mmar for data {vis}ualization

Course materials for Kieran Healy's rstudio::conf 2020 data visualization workshop

a curated list of R tutorials for Data Science, NLP and Machine Learning

Monorepo for older State of JS surveys

A New, Interactive Approach to Learning Data Science

Records the activity (comments and karma) on the hot page of a Reddit sub and prepare an animated data visualisation.

Code, Notebooks and Examples from Practical Business Python

C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types, continuous memory storage, and no pointers are involved

Sample dashboard developed with QML. Login, plots and several screens.

Better heatmaps in Python

Analyse academic and non-academic information of students and predict grades

An example on how to integrate D3 into React

PoCC Burstcoin Reference Plotter

Nice-looking lightweight console ASCII line charts ╭┈╯ for NodeJS, browsers and terminal, no dependencies

knyfe is a python utility for rapid exploration of datasets.

Data-Driven Exploration of the R Community

Graphical Disk Usage command for the terminal, using Node.js, d3.js, blessed, and Drawille