r-programming

📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)

Easy Handling Discrete Time Markov Chains

This R package connects the Salesforce APIs from R using tidy principles.

Infix Operators for Detection, Subsetting and Replacement

Useless R Functions. That's it

My Solutions to "A Collection of Data Science Take-Home Challenges" by Giulio Palombo.

List of resources for learning R

Basic statistical modelling examples.

Create Voronoi and Sunburst Treemaps from Hierarchical data

Scientific paper about everything related to containers and R

BASM - 2017 Spring

ChIP-seq/RNA-seq analysis software suite for gene expression heatmaps

Jupyter notebooks with examples of statistical methods and analyses using R.

An implementation of the Artificial Bee Colony (ABC) Algorithm

Cross-platform GUI desktop application for making biological heatmaps

A curated list of free resources available for learning R programming for data science.

Análisis de texto y visualización de datos con R, de conversaciones de WhatsApp, primer parte. Uso de librería rwhatsapp.

Economics and Pricing in R

using the Inverse-Transform method to speed up options pricing simulations in R

DataScienceGO 2018 - Machine Learning Workshop

List of useful R packages for data scientists

Explore your activity on YouTube with R: How to analyze and visualize your personal pata history. Find out how you consume YouTube using a copy of your personal data from Google Takeout.

Code Snippets & DataSets for Business Analytics & Data Mining/ Machine Learning Algorithms

The objective of the project was to create innovative and interactive Tableau dashboards that focus on potential commodities, countries, year, trade amount and quantity. The client wanted to launch a new business unit, focusing on global trade and logistics, majorly in the countries such as USA, Canada and Australia The dataset provided by the client contained 59090 observations of 10 variables. The client insisted the data to be cleaned using Excel or R. The Dataset contained missing values and was cleaned using the R programming language. Tableau dashboards were created from the cleaned dataset.

This project is from the Airbnb Recruitment Challenge on Kaggle. The challenge is to solve a multi-class classification problem of predicting new users first booking destination.

Análisis de sentimientos y visualización de datos con R, de conversaciones de WhatsApp, segunda parte. Uso de librería rwhatsapp.

Simple example of C++ Classes and External Pointers with Rcpp

time-series with R/SAS