Automate Data Exploration and Treatment

🛠️ 📊 Tools for Exploring and Comparing Data Frames

R package that makes basic data exploration radically simple (interactive data exploration, reproducible data science)

R Package for Interactive Panel Data Exploration

From geospatial to spatial -omics

Analyzing the safety (311) dataset published by Azure Open Datasets for Chicago, Boston and New York City using SparkR, SParkSQL, Azure Databricks, visualization using ggplot2 and leaflet. Focus is on descriptive analytics, visualization, clustering, time series forecasting and anomaly detection.

Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales

Generate descriptive statistics

A survey of tools that make EDA more automated.

Modular & interactive analysis components for bioinformatics

Exploring data together using shiny (burro(w) into the data)

An R package of Tukey inspired exploratory data analysis functions

AEDA - Automated Data Exploratory Analysis in R

R Package for the Interactive Shiny Application for exploratory data analysis thru visualization

'geoquimica' is an open-source package built-in ≥ R 3.6.0 that gathers functions for assist on the exploration data analysis of geochemistry data. This package was built by researchers of the Geological Survey of Brazil.

A comprehensive collection of R scripts focusing on Probability and Statistics. Includes foundational data manipulation, Exploratory Data Analysis (EDA), statistical visualization (histograms, boxplots), and implementation of various probability distributions like Binomial, Normal, and Poisson. Ideal for showcasing core statistical computing skills

AI Forecasting tool for Time-Series and Non-time series data

Collections of Utility Functions to Work Across Projects

R Package for Exploratory Data Analysis

AutoML R framework functions for quickly finding stories from data.