This course emphasized the mathematical and statistical underpinnings of data visualization and exploration, with a strong focus on: Statistical data description and analysis Dimensionality reduction ...

In the realm of big data, Python has emerged as a versatile and powerful tool for data exploration and visualization. With its extensive libraries such as Pandas, NumPy, and Matplotlib, Python offers ...

The project is about data exploration and visualization of Olympic Games data. Here are the steps involved in the project: • Data extraction: The dataset utilized for our analysis is sourced from ...

The Gaussian mixture model (GMM) describes the distribution of random variables from several different populations. GMMs have widespread applications in probability theory, statistics, machine ...

As an important method of handling potential uncertainties in numerical simulations, ensemble simulation has been widely applied in many disciplines. Visualization is a promising and powerful ensemble ...