Thursday, May 09, 2013

Quandl Has Arrived

Looking for "big data" sources? Quandl enables searches of over 5,000,000 financial, economic, and social datasets made available by data contributors worldwide. Morover, every Quandl dataset is available for direct download via Python, Stata, Excel, R, as well as embeddable as a graph on any website. According to Quandl's creators:
Quandl has indexed over 5 million time-series datasets from over 400 sources. All of Quandl's datasets are open and free. You can download any Quandl dataset in any format that you want. You can also visualize, save, share, authenticate, validate, upload, index, merge and transform data. Our long-term goal is to make all the numerical data on the internet easy to find and easy to use.
Establishing a Quandl user account is free and easy. I tested downloading Quandl datasets using the Excel add-in and R package accessories readily available for download from the Quandl website -- both worked perfectly.


Quandl has arrived...

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2 comments:

Sid Gowda said...

Good article Guys, Thanks. By the way I found this awesome site for Financial Data and Analysis : http://thinknum.blogspot.com/ It has a financial data analysis engine which brings the functionality traditionally found on wall street proprietary trading desks to an open platform. This tool is similar to PlotTool at Goldman Sachs or DataQuery at JP Morgan. Check it out, You may like it!

Imanali Ronzu said...

bond
stock This Stock Blog gives insight on daily stock market trading as well as stock trading analysis and technical analysis of the Stock Market.This ia a awesome site for Financial Data and Analysis : www.ThinkNum.BlogSpot.com You can Search over 7,000,000 datasets. You can visualize, save and share data.It has a financial data analysis engine which brings the functionality traditionally found on wall street proprietary trading desks to an open platform. You can visualize, save and share data. This tool is similar to PlotTool at Goldman Sachs or DataQuery at JP Morgan. Check it out, You may like it!
chart
investment data

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