In previous posts I introduced very simple (and naive) forecasting methods, namely CAGR-based forecasting and simple moving average forecasting. I implemented such forecasting methods in R and demonstrated basic use cases. In this post I want to introduce another simple…
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 a previous post I downloaded a data set from kaggle containing data that had been scraped from ebay. The data set contained ebay postings on used car. The data was from Germany. My analysis considers cars registered at latest…
In previous posts I have querried and visualized data related to US automotive industry, using public data provided by e.g. the Federal Reserve or the US bureau of labor statistics. As a further reference, I wanted to plot a graph on…
In previous articles I took a look at US automotive industry. I considered data collected by FRED and US bureau of labor statistics. The data showed strong declines in US automotive production output and US sales of imported vehicles –…