Obtaining data Archives - Supply Chain Data Analytics

Analyzing global commodity trade with comtradr in R

I have already introduced various interfaces in R and Python for querying data directly from within a script. Examples covered by me inlcuded the OECD database and its interface in R, i.e. the OECD package in R. I also e.g. covered twitteR, […]

Building efficient freight & trucking stock portfolios in Python

In previous posts I have demonstrated how you can query stock price data with e.g. pandas_datareader in Python. In this post I will present an algorithm with which you can construct an efficient portfolio based on any set of stocks […]

Analyzing UPS and FedEx stock returns with pandas datareader in Python

I have already demonstrated how you can retrieve e.g. GDP data from FRED using pandas_datareader in Python. I have also analyzed stock prices for Procter & Gamble using Yahoo Finance as a source and pulling the data via pandas_datareader. In […]

Testing tidycovid19, a covid19 data interface in R

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 […]

Retrieving platinum and palladium prices from Quandl in Python

In a previous post I demonstrated how one can query automotive data via Quandl directly from within a Python script. In this post I will document how to query platinum and palladium exchange prices from Quandl in Python. The data […]

Querying automotive industry data from Quandl 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 […]

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 […]

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 […]

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

Based on my recent OECD-package related post (https://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 […]

OECD package (interface) in R: Reading (German) freight transport data from OECD directly 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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