Utilities for _pigna_ stuffs

Metrics to evaluate heterogeneous treatment effect predictions

EDA is a must to do step in the data science workflow. Working on data, wrangling & transforming them is time consuming, and it determine the success degree of the next steps (pre preocessing, modelling, communicating outputs & decision making). This repo will show you how to perform EDA in R using the tidyverse ecosystem, and will introduce a c…

Analyzing Air quality Index of Indian cities through various visualization packages in R and building a dashboard using Shiny package

This repository contains simple statistical R codes used to describe a dataset. These scripts provide a summarized and easy way of estimating the mean, median, mode, skewness and kurtosis of data. It also provides codes for calculating the covariance.

R functions I made over the years to make my work easier. Includes data visualization functions in base R and functions for extracting relevant info from R model objects to make useful, informative tables.