Amusive Blogging N' Coding

This repository contains the code from the hands-on blog posts at iSquared. The website mainly revolves around the visual explanation of many different phenomena. There are two main parts: blogs and visualizations.

Blog Posts

The blog posts are longer and more detailed texts covering some interesting topics. They include explanations, intuition, theory, and visual perception of the discussed subject. Morever an open-source implementation is provided for a fully-featured experience. The blog posts are summarized below:

The importance of interactive data visualization

The blog post points why the interactive visualization is important and how it can help us in the process of data exploration and interpretation. It also includes a hands-on experience using the JavaScript library D3, to code an interactive Parallel Coordinates plot augmented with a dynamic table to search laptops easily.

Code: Interactive Dataviz

Dataset: Laptop Prices

JavaScript Visualization: Discover Different Visualization Tools

A series of 4 blog posts, each discovering a different set of JavaScript visualization tools: charting, graphs, maps and 3D.

First part - Charting

The first part covers the charting libraries with a hands-on experience with NVD3, ApexCharts JS and Plotly JS.

Code: JavaScript Charting Libraries

Dataset: Life Expectancy

Second Part - Graph Visualization

The second part covers the graph visualization libraries with a hands-on experience with Cytoscape JS. We discuss the different graph data formats, data repositories, different JavaScript libraries and out-of-the=box tools.

Code: JavaScript Graph Visualization Libraries

Data: Class Dependency Network of JDK 1.6.0.7

Random Processes in Python

A series of blog posts dedicated to the random processes simulation and animated visualization using the Python numerical libraries.

Animated Visualization of Random Walks in Python

Introduction of the simple random walk, simulation and animated visualization.

Code: Random Walk Animation Pyhton Notebook

Animated Visualization of Brownian Motion in Python

Introduction of the Brownian Motion, how to construct it using the simple random walk and animated visualization of this principle.

Code: Brownian Motion Animation Pyhton Notebook

Random Walks Have Never Been Funnier: Drifted Brownian Motion in Python

Extending the bare Brownian Motion with volatility and drift. We illustrate these two proparties with an animated visualization using Matplotlib's Animation API. Source code:

Code: Drifted Brownian Motion

Forget Determinism, see Randomness in Action: How to Model Stock Price

Transforming the Drifted Brownian Motion from a process with additive increments to a process with multiplicative increments. This is well suited for modelling stock price data. We analyze and animate one interesting property of the process: for certain conditions, it has zero mean and infinite variance.

Code: Geometric Brownian Motion

Numerical Integration in Python

A series of blog posts dedicated to the numerical integration with animated visualizations in Python.

Integrals are Easy: Visualized Riemann Integration in Python

Introduction to the simplest form of Integration using the Riemann sums. We illustrate the numerical integration process using Matplotlib's Animation API.

Code: Riemann Sums

Integrals are Fun: Illustrated Riemann-Stieltjes Integral

Introduction to the Riemann-Stieltjes Integral which is a generalization of the Riemann Integral. We provide some intuitive illustrations to explain and understand this type of integral.

Code: Riemann-Stieltjes Sums

Visualizations

The visualization part offers very short and simple explanation of some big ideas where the main focus is put on the visualizations and how to create them. For completeness, the open-source implementation is provided here. The list of visualizations is summarized below:

sylvaingeron/Amusive-Blogging-N-Coding