I am new to R. I am willing to import Kaggle data into R. I know that python has an inbuilt Kaggle API, that enables coder to pull the data.
Can I perform the similar task using R?
I don't believe one exists for R. See this thread here.
Related
I've been looking for some clear examples for this approach. I know it requires an API in some cases. I've found the libraries Rblpapi and RblDataLicense, but I haven't been able to find a clear example to base on.
I need to download data from the DDIS function in the bloomberg terminal for a credit risk modeling I'm currently developing.
I'll appreciate a lot if anyone could help me out.
There are examples in the vignette and manual, which you can find at https://CRAN.R-project.org/package=Rblpapi .
I have never tried to do this, but I don't think you can just download the DDIS data as is. I suspect you'd have to recreate it by finding all the bonds for the company(ies) you're interested in and then downloading the info you want for each one. Looks as though you'd need to explore the bsrch() function.
I am pretty new to coding in general, therefore bear with me if this is a rookie question. I have a R code that I want to be automatically run, this R code generates some results which I want to publish onto a website daily. What is the easiest way to do so?
This is mainly a question on scheduling the R Scripts. Scheduling R Script
Then you can feed the data into your webpage (e.g. from a csv).
I've successfully generated association rules using the R arules library.
What I'd like to do now is the equivalent of a prediction join in DMX. I want to take an item, and get the top 5 relevant items back.
I see the predict method in the arules library, but the documentation doesn't indicate that it is used for this type of prediction.
Taking it a step further, how do I reuse the rules I've created in a script of some sort? Should I export them to a file and import them directly every time I want to generate related items?
I'm coming from the Microsoft Data Mining world, where a model persists on a server. I'm not even sure if what I'm asking is the appropriate way to do it using R. Thanks for any guidance.
This is about TOSCA Automation tool.
I have an excel and loaded all my test data in it.
All i need to do is getting this data from excel using TOSCA.
Please help me on this.
There are two kind of scenarios that originate when you say you have your test data in excel.
Scenario #1: If you have a single test scenario that needs to be tested against different datasets, then TOSCA provides you with a very good feature of TemplateInstances, which will not only create the desired number of test cases for you from your data set but will also import your excel's data and embed it in Test Case steps. For more details, please see the documentation of TOSCA Commander on TemplateInstances.
Scenario #2: If you have different test cases and want to just import data from an external source then you can use the common modules provided by Tricentis along with standard TOSCA installation under the name Excel Engine. Alternatively, you can also write your own Keywords using VBScript and import your excel into TOSCA.
TOSCA has its own Excel engine add-in which can be used as parametrization of data from excel workbook.
Other then that I've also searched on this topic and found some Worx.tce predefined module which we need to import as a subset, to use the excel as a test data provider.
If you want to use excel to fetch data for test scripts you can use excel module in standard module section provided by tosca and can use buffer as input type to store and data for later use OR you can use test sheet module where you can store data and can use it in future it would be more helpful as it will remove the dependency of excel file in your test scripts and handling test sheet is better way.
I use the market QA data base and I would like to be able to access the data directly from R or vba or even another language if needed to pursue my studies. I couldn't find any API, has anyone here already done this before?
Thanks
The 'tm' package has some worked examples. You may need to be more specific about what or of data you are targeting.