Category: Data Science

R on Steroids with Rcpp Library! image

R on Steroids with Rcpp Library!

Introduction R is a popular programming language for data analysis and statistical computing. It is widely used in a variety of fields, including finance, healthcare, and research, and is known for its powerful tools for data manipulation, visualization, and statistical analysis. Despite its many strengths, R can sometimes be slow, especially when performing computationally intensive […]

The One Mistake You’re Making in Starting a Data Science Project (And How to Avoid It) image

The One Mistake You’re Making in Starting a Data Science Project (And How to Avoid It)

“The One Mistake You’re Making in Starting a Data Science Project (And How to Avoid It)” Building an Analytics portfolio project can be a daunting task, especially for those who are new to data analytics. In a survey we conducted at Analytica Data Science Solutions, we found that most people struggled with knowing where to […]

Definitive General Proof of Goldbach’s Conjecture by Kenneth A. Watanabe, PhD

Unsolved Math Problems: The Goldbach Conjecture!

“Unsolved Math Problems: The Goldbach Conjecture!” There are still many unsolved problems in Mathematics, despite countless research trying to solve these problems. Our Math problem for today is about the Goldbach Conjecture. In a previous post, I talked about the Collatz Conjecture, which is one of my favorite unsolved problems in Mathematics. The Goldbach conjecture is […]

data.table library tutorial and explain

The Tidyverse and data.table R Packages

“The Tidyverse and data.table R Packages” The power of R comes from the vast collection of software libraries, i.e. packages, that can be easily installed and loaded in R. Today we will cover two of the most powerful packages in R, the tidyverse and data.table packages. The tidyverse and data.table are two popular packages in R that provide functions for working with data. […]