There are various packages available in R for retrieving data on covid19 cases. In a previous post I tested coronavirus, a package available in R providing access to data from J.H. University. In this post I want to quickly introduce […]
In previous posts I have demonstrated how to geocode location strings using the Open Street Map API in two different ways. The first approach was to implement a function that sents a string to the OSM API directly, using http. […]
In this blogpost I provide a coding example in R for how to create a map-based scatterplot using the deckgl package. This can come in handy when visualising data with some spatial aspect. For example you might want to visualise […]
In a previous post I demonstrated how one can generate map-based heatmap distribution plots using the Leaflet package in R. In that example I implemented a function that sends locations as strings to a Open Street Map API and then […]
In this code example I use a geocoding function found on datascienceplus to geocode Google trends search intensity data, comparing search trend by city name for “Burger” and “Pizza” in Germany. I then visualize the results with heatmaps, generated with […]
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 provide an example of CAGR-based forecasting, using OICA vehicle production data for Chinese automotive industry. CAGR is the compounded average growth rate. If e.g. production output in year 2000 is 1,000,000 units then, if CAGR = […]
This is a just small post where I share some experiment I did with the coronavirus package in R. It provides access to data shared by Johns Hopkins University. Unfortunately, at the moment of this post the latest data entries […]
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 […]
In previous posts I have demonstrated how to access automotive industry data from e.g. the US Federal Reserve, the German VDA automotive manufacturer lobby organisation and also e.g. Kaggle (where you can, as an example, find web-scraped data on second hand car […]
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 analyzed sales and production output data related to German and US automotive industry, provided by sources such as US Federal Reserve, Carsalesbase.com and German VDA (lobby for German automotive industry). For this, see e.g. my previous […]
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 – […]
Automotive industry is a key industry for German economy. As such I keep analyzing it out of private interest. My scope is not limited to Germany. E.g. US automotive sector comprises a huge portion of global market volume. In this […]
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