#Install jupyter notebook windows 10 how to
#Install jupyter notebook windows 10 mac os

It contains the install_github() functions used to install R package from GitHub. This R package makes package development easier by providing R functions that simplify and expedite common tasks. If the devtools package is not installed, use this command to install the devtools package. To install the Datastream API for R, open the R ењ†4 GUI and run the following commands: The R version of Datastream is available at With histories back to the 1950вЂ™s, you can explore relationships between data series perform correlation analysis, test investment and trading ideas and research countries, regions and industries. In this article, R 3.6.1 64bit is used.Дatastream is the worldвЂ™s leading time-series database, enabling strategists, economists and research communitiesвЂ™ access to the most comprehensive financial information available. After that, both R 32bit and 64bit are installed on the machine. Download R for Windows and then install it on the machine.

#Install jupyter notebook windows 10 mac os

The precompiled binary distributions of R packages (Linux, Mac OS X, and Windows) are available at the Comprehensive R Archive Network. Next, I will demonstrate steps to setup Jupyter Notebook for R to be used with Refinitiv's APIs on Windows.

#Install jupyter notebook windows 10 how to

Moreover, in the end, there is a link to R examples that demonstrate how to use Refinitiv's APIs with Jupyter Notebook.

Install Plotly which is R Open Source Graphing Library.

Install Refinitiv's APIs for R, such as Eikon Data API, and Datastream Web Service.

In this article, we will explain steps to: Refinitiv's APIs, such as Eikon Data API, Datastream Web Service, DataScope Select, Refinitiv Tick History, and RefinitivВ Data Platform also support R. It compiles and runs on a wide variety of UNIX platforms and similar systems (including FreeBSD and Linux), Windows and macOS. R is available as Free Software under the terms of the Free Software FoundationвЂ™s GNU General Public License in source code form. It is widely used among statisticians and data miners for developing statistical software and data analysis. R is an interpreted programming language for statistical computing and graphics supported by the R Foundation.