Example.RefinitivAPIs.R.Jupyter | interpreted programming language for statistical computing
kandi X-RAY | Example.RefinitivAPIs.R.Jupyter Summary
kandi X-RAY | Example.RefinitivAPIs.R.Jupyter Summary
Example.RefinitivAPIs.R.Jupyter is a Jupyter Notebook library. Example.RefinitivAPIs.R.Jupyter has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.
R is an interpreted programming language for statistical computing and graphics supported by the R Foundation. It is widely used among statisticians and data miners for developing statistical software and data analysis. R is available as Free Software under the terms of the Free Software Foundation’s GNU General Public License in source code form. It compiles and runs on a wide variety of UNIX platforms and similar systems (including FreeBSD and Linux), Windows and macOS.
R is an interpreted programming language for statistical computing and graphics supported by the R Foundation. It is widely used among statisticians and data miners for developing statistical software and data analysis. R is available as Free Software under the terms of the Free Software Foundation’s GNU General Public License in source code form. It compiles and runs on a wide variety of UNIX platforms and similar systems (including FreeBSD and Linux), Windows and macOS.
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Example.RefinitivAPIs.R.Jupyter has a low active ecosystem.
It has 10 star(s) with 4 fork(s). There are 13 watchers for this library.
It had no major release in the last 6 months.
Example.RefinitivAPIs.R.Jupyter has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Example.RefinitivAPIs.R.Jupyter is current.
Quality
Example.RefinitivAPIs.R.Jupyter has no bugs reported.
Security
Example.RefinitivAPIs.R.Jupyter has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Example.RefinitivAPIs.R.Jupyter does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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Example.RefinitivAPIs.R.Jupyter releases are not available. You will need to build from source code and install.
Installation instructions, examples and code snippets are available.
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Example.RefinitivAPIs.R.Jupyter Key Features
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Example.RefinitivAPIs.R.Jupyter Examples and Code Snippets
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Install Example.RefinitivAPIs.R.Jupyter
The precompiled binary distributions of R packages (Linux, Mac OS X, and Windows) are available at the Comprehensive R Archive Network [CRAN]. Download R for Windows and then install it on the machine. After that, both R 32bit and 64bit are installed on the machine. In this article, R 3.6.1 64bit is used.
Python packages are available at the Python website. It supports many operating systems, such as Windows, Linux/Unix, and Mac OS X. Download the Windows version and then install it on the machine. In this article, Python 3.7.4 64bit is used. You need to verify the installation path or choose the Add Python 3.7 to PATH option to add the Python installation path to the PATH environment variable. However, the Add Python 3.7 to PATH option may introduce the version conflicts among the installed Python versions. If you have multiple versions of Python installed on the machine, please beware of this option. After installing, open the Windows Command Prompt to verify the version of Python (python --version). You may install different Python Distributions, such as Anaconda. Please refer to the Anaconda website for more information.
Jupyter Notebook can be installed with the pip command. Open the Windows Command Prompt and use the following commands to install Jupyter Notebook. Then, run jupyter notebook from the Windows Command Prompt to start the Jupyter Notebook. At this time, the Jupyter Notebook only supports Python 3. For different Python distributions, please refer the distribution websites regarding how to install Jupyter Notebook.
Jupyter Notebook has kernels which are processes that run interactive code in a particular programming language and return output to the user. IRkernel is an R kernel for Jupyter Notebook. IRkernel can be installed via the Comprehensive R Archive Network [CRAN]. Open the R x64 GUI and follow these steps.
Currently, there are two Refinitiv's APIs for R programming language which are available in GitHub. Before installing Refinitiv's APIs for R, the Rtools must be installed on the Windows machine. In this article, Rtools35.exe which supports R 3.3.x and later is used. Eikon Data API allows users to access Eikon Data directly from any application running on the Eikon Desktop. The R version is available at https://github.com/ahmedmohamedali/eikonapir.
install.packages("devtools")
library(devtools)
install_github("ahmedmohamedali/eikonapir")
install.packages("devtools")
library(devtools)
install.packages("dplyr")
install_github("CharlesCara/DatastreamDSWS2R")
Plotly is an R package for creating interactive web-based graphs via the open-source JavaScript graphing library plotly.js. This package is used by examples in this article to plot charts. Plotly is now on CRAN. To install Plotly, open the R x64 GUI and run the following commands:. To test the package, you can run the following code under Jupyter Notebook to see the chart.
Python packages are available at the Python website. It supports many operating systems, such as Windows, Linux/Unix, and Mac OS X. Download the Windows version and then install it on the machine. In this article, Python 3.7.4 64bit is used. You need to verify the installation path or choose the Add Python 3.7 to PATH option to add the Python installation path to the PATH environment variable. However, the Add Python 3.7 to PATH option may introduce the version conflicts among the installed Python versions. If you have multiple versions of Python installed on the machine, please beware of this option. After installing, open the Windows Command Prompt to verify the version of Python (python --version). You may install different Python Distributions, such as Anaconda. Please refer to the Anaconda website for more information.
Jupyter Notebook can be installed with the pip command. Open the Windows Command Prompt and use the following commands to install Jupyter Notebook. Then, run jupyter notebook from the Windows Command Prompt to start the Jupyter Notebook. At this time, the Jupyter Notebook only supports Python 3. For different Python distributions, please refer the distribution websites regarding how to install Jupyter Notebook.
Jupyter Notebook has kernels which are processes that run interactive code in a particular programming language and return output to the user. IRkernel is an R kernel for Jupyter Notebook. IRkernel can be installed via the Comprehensive R Archive Network [CRAN]. Open the R x64 GUI and follow these steps.
Currently, there are two Refinitiv's APIs for R programming language which are available in GitHub. Before installing Refinitiv's APIs for R, the Rtools must be installed on the Windows machine. In this article, Rtools35.exe which supports R 3.3.x and later is used. Eikon Data API allows users to access Eikon Data directly from any application running on the Eikon Desktop. The R version is available at https://github.com/ahmedmohamedali/eikonapir.
install.packages("devtools")
library(devtools)
install_github("ahmedmohamedali/eikonapir")
install.packages("devtools")
library(devtools)
install.packages("dplyr")
install_github("CharlesCara/DatastreamDSWS2R")
Plotly is an R package for creating interactive web-based graphs via the open-source JavaScript graphing library plotly.js. This package is used by examples in this article to plot charts. Plotly is now on CRAN. To install Plotly, open the R x64 GUI and run the following commands:. To test the package, you can run the following code under Jupyter Notebook to see the chart.
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