Automotive industry Archives

July 2020 FRED US automotive production

My monthly report on FRED data for US automotive production shows strong recovery in US production output. You can view the report here: http://www.supplychaindataanalytics.com/reporting/monthly-fred-us-automotive-report/ Linnart Felkl M.Sc.Data scientist focusing on simulation, optimization and modeling in R, SQL, VBA and Python […]

April 2020 US automotive output near zero

The updated monthly automotive production output report comprises data up until april 2020. The updated report is available here: http://www.supplychaindataanalytics.com/reporting/monthly-fred-us-automotive-report/ Linnart Felkl M.Sc.Data scientist focusing on simulation, optimization and modeling in R, SQL, VBA and Python www.supplychaindataanalytics.com

FRED US automotive March 2020 report

FRED automotive industry production and imported vehicle sales data has been updated. For more details check the FRED US automotive industry report on this website. Below are the monthly figures up until March 2020, for US domestic car production and […]

Querying automotive Quandl data in Python

A quick post on how to query data from Quandl in Python. Quandl can be installed with the “pip install” command in your command prompt. For this simply type “pip install quandl” in your Anaconda command prompt. Quandl is the […]

Introduction to Seaborn in Python

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 […]

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 […]

CAGR-based forecasting 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 = […]

Public data sources for automotive industry

OICA production output statistics: OICA is the International Organization of Motor Vehicle Manufacturers. OICA provides sales and production statistics for all relevant countries in open data sets. These can be retrieved from http://www.oica.net/category/production-statistics/ EPA data: EPA is the United States […]

OICA automotive output analysis in R

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 powertrain market share analysis in R

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 […]

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