Automate Data Exploration and Treatment
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Updated
Jan 24, 2024 - R
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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)
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.
Collections of Utility Functions to Work Across Projects
AutoML R framework functions for quickly finding stories from data.
AI Forecasting tool for Time-Series and Non-time series data
Compute scagnostics on your scatterplots
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