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Metrics to evaluate heterogeneous treatment effect predictions
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.
Analyzing Air quality Index of Indian cities through various visualization packages in R and building a dashboard using Shiny package
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 comparative approach between the main packages in R whcich could let you perform automated EDA & generating automated EDA html or pdf reports, ready to be communicated.
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.