This post is a rough introduction to the Seaborn module in Python. I use it for data visualization, in combination with Pandas. Read the comments to understand my workflow. Any questions you can leave as a comment at the bottom […]
In a previous post I explained CAGR-based forecasting. CAGR-based forecasting is a very simple forecasting method which is often applied in industry, e.g. for forecasting sales and production output. Simple forecasting models have benefits. They are easy to understand and easy […]
In this post I want to show another public data source related to automotive industry. OICA, the International Organization of Motor Vehicle Manufacturers, provides a series of statistics on its website, including sales and production statistics. The comprises all manufacturers […]
