Linear Regression is one of the commonly used statistical techniques used for understanding linear relationship between two or more variables. It is such a common technique, there are a number of ways one can perform linear regression analysis in Python. In this post we will do linear regression analysis, kind of from scratch, using matrix […]
ggplot2 3.3.0. Is Here : Two New Features You Must Know
ggplot2, the R package that lets you create graphics using the Grammar of Graphics has a new version. The new version of ggplot2; version 3.3.0 has lots of changes and it available on CRAN. Introducing ggplot2 v 3.3.0 Thomas Lin Pedersen says that the new version “is packed with features, big and small” and a […]
Introduction to the new lumping functions in forcats version 0.5.0
forcats, one of the key tidyverse R packages, for dealing with factors in R has a new version 0.5.0 on CRAN with a lot of new changes. If you have not heard of forcats before, it is a R package part of tidyverse that provides “a suite of tools that solve common problems with factors, […]
Data Science with R and Python- A Round Up: February 2020
We are back with February 2020’s “Data Science with R and Python Round Up”. The new year resolution is that to continue the monthly round up compiling compile interesting news, Python, R blog posts on anything related to learning, data, data science, ML and AI. It just hopes to offer one more chance catch up […]
Faceting and Reordering with ggplot2
Faceting is a great data visualization technique that uses “small multiples” i.e. the use of same type of plots multiple times in a panel. Each “small multiple” is a same type of plot but for a different group or category in the data. ggplot2 makes it really easy to make such “small multiples” with faceting. […]