Assume that you are serving an advertising agency in the profile of an analyst. In a similar capacity, you will be majorly handling assignments like processing natural languages and predictive modeling and you are likely to use MySQL, Python and RAS the major tools. But, what if your employer holds a Tableau License? It is most likely that your employer will encourage you to learn Tableau. But, it is really worthy of learn? Paragraphs underneath shall explore the answer to this question.
About the application
Even if Tableau is highly user-friendly and can develop wonderful graphics, it is hard to assume this application as a complete replacement for Python and R. You might be knowing something about this application, however, to work with this application on a professional level, you need to know more about this application. You need to consider whether if the knowledge of this application will support your long term career goals and objectives. However, if you plan to consolidate your career in the domain of advertisement, you will inevitably need to master this application.
Python and R can be integrated with Tableau
R and Python are complementary tools that integrate with Tableau in a way that helps you pick the right tool for the job.
Python and R find application for generating visualizations, however, you should be well aware of the question that you would like to put forward to your data. Likewise, you need to be very sure of the approach to structure your answer. On the other hand, interactive analysis and data exploration will enable you to reform your questions faster, with each answer, emerging from a visualization. This is where Tableau finds the optimum utility.
The Tableau application is not going to be a great application for reshaping or cleaning the existing data. The relational model of this application will not enable you to do procedural computations or offline algorithms. These are the purposes that Python and R can serve the best. For this reason, Tablueau focuses on interfacing with R and Python, rather than to serve as a replacement to these tools.
Following are the prime reasons that should motivate you to learn this application:
- You will have a wider choice for tools and application to apply. It implies, you will be having wider scopes of tools and applications to apply at the right instances.
- You get to know the sensitive data to which your employer holds the maximum concern
- You get to choose the appropriate medium of communication.
There are a few resources to integrate R in Tableeau that involves writing expressions that will shift data to R and fetches results for catering in the interface of this application. Likewise, you can find out various resources for using Tableau with Python that involves the application of the API of Tableau Data Extract with the objective to develop a ready-to-use data structure to visualize Tableau. Most importantly, you will require investing just a couple of weeks or two to develop significant command on this application.
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