In this series of blog posts we will present an end-to-end database project using MySQL the IMDb dataset. This is the fourth and final post in the series on my IMDb and MySQL database project. In this post we will query our IMDb database and visualise the obtained data.

In this series of blog posts we will present an end-to-end database project using MySQL the IMDb dataset. This is the third in the series of posts on my IMDb and MySQL database project. In this post we will build our relational database and load the IMDb data into it.

In this series of blog posts we will present an end-to-end database project using MySQL the IMDb dataset. This is the second in the series of posts on my database project. In this post we will present the Entity-Relationship (ER) and logical schema diagrams for our relational database. We will also discuss the Extract-Transform-Load (ETL) tasks we performed using python.

In this series of blog posts we will present an end-to-end database project using MySQL the IMDb dataset. The purpose of this project was originally to be pedagogical and now we will share what we learnt along the way. In this project we designed and built a MySQL database to store the Internet Movie Database (IMDb) dataset. We then explored and visualised the data. This project required a fair amount of work, so this project will be presented in four parts. In this first post we will introduce the dataset and summarise the most import aspects of the project.

In this tutorial we will discuss one of the most important distributions in directional statistics. In particular, we show how to sample from the von Mises-Fisher distribution and how one can visualise the samples on the unit sphere. This distribution has applications in many different fields of study ranging from astrophysics to paleomagnetism.

In this tutorial we will discuss circular and directional statistics. How to visualise circular distributions and also how to sample one of the most useful circular distributions.