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. […]
5 Useful Personal Finance Functions from NumPy Financial
Until recently, NumPy in Python had simple, but useful financial functions. These NumPy Financial functions are extremely handy for many personal finance questions, like estimating how much interest you have to pay on a loan and how your money grows with a monthly investing plan with a certain interest rate. Recently, the financial functions are […]
How To Make Lower Triangle Heatmap with Correlation Matrix in Python?
Visualizing data as a heatmap is a great data exploration technique for high dimensional data. Sometimes you would like to visualize the correlation as heatmap instead of the raw data to understand the relationship between the variables in your data. In this post we will see examples of visualizing correlation matrix as a heatmap in […]