Time series analysis Archives

Implementing a random walk forecast in Python

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 […]

Output forecast 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 […]

Kaggle second hand car price analysis in 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 […]

Carsalesbase US vehicle sales analysis in 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 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 – […]

bls.gov hourly earnings analysis 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 […]

Transport volume analysis with OECD R data

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 […]

Domestic car production analyzed with fredr

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 […]

OECD R-package transport data in R

“OECD” is a package in R, providing an interface for performing a querry directly from R code. In this post I use the “OECD” package to analyze European transport data. I begin by reading in the OECD package in R. […]

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