R programming Archives - SCM data blog

Forecasting US automotive industry production output with simple moving average

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 […]

CAGR-based forecasting, using OICA production data (in R)

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 = […]

Testing “coronavirus”, a package in R for accessing data from J.H. university

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 […]

OICA production output statistics for automotive industry (R analysis)

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 […]

EPA data analyzed in R for visualizing US powertrain shares

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 […]

Analyzing used car prices with German ebay postings from 2016 (kaggle, R)

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 […]

Public fuel consumption data from data.gov, for Montgomery county – visualized in R

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 […]

Plotting carsalesbase total annual US vehicle sales data (using R)

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 […]

VDA time series data on German automotive industry, analyzed in R

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 – […]

Time series of hourly earnings in US automotive industry (bls.gov), analyzed in R

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 […]

Solving linear problem with fuzzy constraints by sampling beta with FuzzyLP in R

In a previous post I demonstrated how to use crispLP to solve a simple linear optimization problem with well-defined objective function and constraints. I have also demonstrated how to solve a fuzzy linear optimization problem with uncertain constraints, i.e. fuzzy constraint […]

Linear optimization with fuzzy constraints conducted in R with FuzzyLP

Using the FuzzyLP package in R I have demonstrated simple linear optimization of a well defined linear problem using the crispLP function in a previous post. In that example basic simplex algorithm was applied to solve the problem. In this […]

Simple linear problem with FuzzyLP, using crispLP and basic simplex

In previous posts I have demonstrated how to solve linear programs in R using lpSolve – or in Python using SciPy.optimize. In this coding example I want to show how to conduct simple linear optimization using the FuzzyLP package. FuzzyLP […]

Comparing different German transport sectors by volume, using OECD data in R

Based on my recent OECD-package related post (http://www.supplychaindataanalytics.com/oecd-package-interface-in-r-reading-german-freight-transport-data-from-oecd-directly-in-r/) I extend my recenet analysis of German transport volume development by comparing different inland freight categories in a ggplot-chart. The data, again, i querried using the OECD-package in R. From the previous […]

Applying fredr package in R: Analyzing FRED domestic car production data for USA

In previous posts I showed how to retrieve and use data from Twitter (twitteR), Yahoo Finance (quantmod), The Guardian (guardianR) and OECD (oecd R-package). In this post I show how to access FRED data with an API key, using the […]

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