What is Next? A short and sweet curated collection of R-related works. Five stories. Four packages. Three jargons. Two tweets. One Meme. You can subscribe by providing your details here. Promise, no spams. Email address First name (Optional) Last name (Optional) By subscribing, you agree with Revue’s Terms of Service and Privacy Policy. If you are unsure, here are some editions that my readers loved.
Over the last few days, I dabbled with maps in R. Two days ago, I made a map of all the cities I’ve visited. Today, I thought to make street maps of some of them (and other cool cities).
Facebook provides data on all ad funding related to social issues, politics and elections. Here is a simple plot and table to explore the most prominent advertisers.
A Simple Method to Calculate Distance between Discrete Variable
How much do the super rich really pay? Until now, the answer was unknown — thanks to privacy laws. Recently, tax returns of the super rich was leaked to ProPublica. I thought of exploring the billionaires and their tax rates.
Here’s how to make your short URLs using Hugo + Blogdown
What should the progress bar show? How to measure 10% work done?
My personal R package for custom functions
Yet Another Machine Learning Project with Titanic Dataset
An Incomplete Data Exploration
Using linear regression to find the optimal value of an input
Using Tidymodels to Find Sex of Penguins
Functions et al
Thinking of Text as List of Words
Tricks of trade I learnt along the way
A collection of my answers on Stackoverflow
Slides, recorded lecture and additional resources around my talk on how to create and control your digital identity.
R Package for All India PIN Codes Directory with Latitude and Longitude Details (Updated: December 2021)
This is my digital kitchen sink. Basically a dump of cool things.
Comparing Apple M1 processor with Other Systems in R
My Newsletter on R and Data Science
Python Functions for Bayesian Learning (COSC 522 Project)
Simulation of Ellsberg’s Paradox
Attending My First Academic Conference
Is there any evidence of tampering or manipulation in COVID-19 daily cases reported by countries? Using Benford analysis in R, I try to reach at some conclusion.
Summary of my research work on forecasting coverage for Malaria vaccines
Research Paper on Malaria Vaccine Coverage Prediction
We applied a dynamic Gaussian process model to predict coverage for novel Malaria vaccines in 78 countries. Using publicly available WHO data on coverage of nine vaccines, we developed localised models for countries grouped using the human development index (HDI). We deployed convolutions of standard GP models with weights determined using singular value decomposition of time-series response matrix.
Shiny app to present quotes on the fly
Using rTweet package in R to analyse live tweets from Twitter
I analyse my listening stats and patterns using R.
Guest lecture for PhD students on R Shiny (2020 and 2021)
Guest Lecture for PhD Students at IIM Indore
Brain waves generated using R (tuneR)
Research paper on statistical modelling and analysis of computer-simulated datasets
Measuring efficiency of Indian higher education institutes using Data Envelopment Analysis
My first academic publication: a peer-reviewed book chapter on statistical modelling using Gaussian processes. We reviewed several GP models and correlation structures, and methods to handle numerical instabilities due to near-singular matrices. Finally, we reviewed several algorithms developed specifically for analysing big data obtained from computer simulators.
Analytics live project for a fast food chain in India
Summer intership on studying Gaussian process modelling
Summer internship on studying near-singularity in Gaussian correlation matrices