Category: Analysis

Plotting with base R

An intuitive introduction to plots and how R deals with them

Second Weekend straight, obsessed with R — Part IV

The final section of our recap (for the time being at least)!

Functions in R (a bit deeper)

Accounting for missing values and creating your own custom functions

Dates and Strings in R

Experimenting with some of the language’s core functionalities

(De-)Aggregations in R

Clarifying some important steps when dealing with aggregation functions

Matrix and Regression plots in Python

Using the Seaborn library is quite an eye-refresher

Seaborn… visualize with style!

I was really impressed by the capabilities of the Seaborn library

Matplotlib in Jupyter

Object-oriented plotting was quite exciting

If, switch and functions in R

More introductory examples for acing the language

Introduction to ggplot2 package in R

Code for visualizing data sets for beginners

Pandas Data Analysis Part II

More advanced data manipulations using the popular library

Functions, loops, ifelse and apply in R

More introductory examples using the powerful vectorized nature of the language

Loops in R

More examples in R using loops (for, while, repeat)

NumPy introduction in Jupyter Notebook

Some examples of manipulating arrays using the NumPy library

More code in Jupyter Notebook

The continuation of the introductory section in Jupyter

Lists and Data Frames in R

Code for creating and manipulating lists and data frames

Jupyter, Anaconda and Python

“Project Jupyter is a non-profit, open-source project, born out of the IPython Project in 2014 as it evolved to support interactive data science and scientific computing across all programming languages…”

Matrices in R

Introductory matrix manipulations