Data Trends for Investment Professionals

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On Data Quality

In conversation with his friend Anton about Quandl’s next phase, my co-founder Abraham was explaining that premium data on our site would be of the highest quality. “Excellent,” Anton replied with a nod. Then, after a moment’s pause he continued somewhat apologetically, “What exactly does that mean?” (more…)

Cheat Sheet for Data Analysis in Python

This is a quick reference for data gathering and analysis using the NumPy, SciPy, Pandas and Quandl packages for Python:   [pdf-embedder url="https://blog.quandl.com/wp-content/uploads/2013/12/Quandl-NumPy-SciPy-Pandas-Cheat-Sheet.pdf"]   You can download this document here.

Cheat Sheet for Data Analysis in R

This is a quick reference for data acquisition and analysis using R and Quandl.   [pdf-embedder url="https://blog.quandl.com/wp-content/uploads/2013/12/Quandl-R-Cheat-Sheet.pdf"]   You can download a PDF of this file here.

Using Quandl in R

Our mantra here at Quandl is making data easy to find and easy to use. Following that goal we (and subsequently the community) have created packages that integrate Quandl’s API into a number of software platforms. Today we’ll take a look at R. R is a free statistical computing language created in 1993 based on an implementation of the S computing language. It has many packages written by its community which keep its methods on the cutting edge of statistical analysis. Quandl’s API wrapped within R makes the tedious aspects of getting data into your console trivial, and gets you...

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