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
