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

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

This exploratory data analysis (EDA) aims to uncover trends, patterns, and disparities in student performance in the exams. This report analysis will provide insights into the factors influencing student achievement by examining key variables or attributes like mean scale scores, performance levels, and demographic factors.

Generate descriptive statistics

From geospatial to spatial -omics

This research investigates gender inequality, income disparity, violence against women, and female leadership in Mexico.

An R package of Tukey inspired exploratory data analysis functions

Collections of Utility Functions to Work Across Projects

Assignments during all courses taken at Umeå University

Interactive visualizations for FacileData

Modular & interactive analysis components for bioinformatics

Compute scagnostics on your scatterplots

'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.

This repository contains my EDA scripts of Kaggle & MakeoverMonday Datasets

The repository contains a Pune house price prediction system build using R programming Language. The System efficiently calculates and analyze house prices in multiple areas across Pune using machine learning models and Data science and analytical tools

🛠️ 📊 Tools for Exploring and Comparing Data Frames

Customer Segmentation using R

How to use visualization and transformation to explore data called EDA.

Example of an analysis-in-box using UN population data for EDA