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)!

Second Weekend straight, obsessed with R — Part III
Next stop in our revising tour: data frames!

Let’s spend the weekend to consolidate our skills in R — Part II
Finalizing this adventurous weekend

Let’s spend the weekend to consolidate our skills in R — Part I
A refresher for beginners

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

Support Vector Machines in Python
Using the cancer data set from the sklearn library

Principal Component Analysis in Python
A smooth introduction to dimensionality reduction

Accounting for the style and color, when using in the Seaborn library
Gaining full control of our visualizations

(De-)Aggregations in R
Clarifying some important steps when dealing with aggregation functions

k Means Algorithm in Python
Implementing the algorithm in Jupyter Notebook

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

Seaborn library is another library to visualize data in Python
Suited better for statistical analysis

Matplotlib in Jupyter
Object-oriented plotting was quite exciting

Matplotlib is the most popular plotting library for Python
The gallery tab provides many useful examples

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

Data Analysis in Python using Pandas
Introductory code using the Pandas library

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…”

Creating a game using the Python programming language
It proved to be quite a challenge