What is Tableau?
Tableau is a powerful and fastest growing data visualization tool used majorly in in the Business Intelligence Industry. It helps in simplifying raw data into the comprehendible format. The data that is created using Tableau can be understood by professional at any level in organisational hierarchy, yes, it’s that simple. The key highlight about Tableau is that it doesn’t require any technical or programming skills. The availability of various online courses, like the one provided by PST Analytics, has made it far more easier. The following reasons make is so “in demand”:
Manage Multiple Data Sources:
Data, in its raw form is available in various formats, shapes, sizes. Tableau connects with any kind of data source or format that is prevalent in this day and age – csv, xls, xlsx, son, txt, etc. Also, data can be imported from the prominent servers – MySQL, Amazon Redshift, Tableau Server, etc.
Ease of Usage and Visual Cues:
The zero learning curve of the platform makes it a tool that can be worked on from day zero by anyone. User can reach insights through colours, gridlines, graphs, etc. making it user friendly. The desired analysis can be reached by simply dragging and dropping properties.
Self-Reliant & Data Blending:
Tableau Desktop is easy to install; anyone can go ahead start and complete data analysis. Tableau allows you to map different raw/semi structured data together without any additional costs for the service. This makes working on complex data easier to interpret.
What is Python?
Python was created by Guido van Rossum, and released in 199. It is interpreted, high level computer programming language. It became popular for the following three reasons:
Coding Simplicity:
The Commands in Python are simple to write as the syntax is close to the simple English commands we use in our everyday lives. It makes the execution side of the work much easier for the coders, giving them more time to concentrate on the effectiveness of the solutions. Moreover, Python works on different platforms (Windows, Mac, Linux, Raspberry Pi, etc).
Coding Community:
Computer Programming is a mammoth. There are thousands of problems out there with programmers trying to solve in hundreds of computer languages. Being an open source software, it is easy to use which has resulted in a large number of coders who use the language. They have eventually come together to share their problems and solutions thereby making the mundane problems much easier to deal with and avoid wasting valuable time on them.
Coding Packages:
Coders solve unique problems day in and day out and the structures within which they function is more or less similar – the data structures, the operations, mathematical applications, etc. As the problems become complex, they end up spending more time in writing these codes over and over, which doesn’t make sense. Hence, the “python” community has come together to build packages (which solve a few distinct set of problems – like all mathematical operations, etc.).
The Difference?
The table below highlights the major differences. However, there is no rule as to which one can lead to your personal and professional success. It totally depends on which path you want to lead your career in. If you are into programming, then definitely Python is what you should be learning. However, if you just want to analyse the available data better then, you should go ahead with Tableau.
| Python | Tableau |
| Python It consists of constructs with which it’s easy to execute clear programming on small and large scales. | Tableau is used to explore and analyse relational databases and data which include products, location and years. Tableau extracts a large amount of data and keeps and regains from its exclusive in-memory data engine. |
| Python is first choice of software developers because its syntax is clean and short. | Software developers prefer Tableau for its mapping functionality. It’s quite easy to narrate longitudes and latitudes and bond to spatial files such as zipped Esri File Geodatabases GeoJSON files, Shapefiles etc. |
| Python is So it is freely usable and distributable also for commercial purposes. Python Software Foundation administers its license. | Tableau helps self-service Business Intelligence. But, unlike Python, it may be unaffordable for small and medium enterprises as there is a price to pay for the professional edition. But its version Tableau Public is free. If you need to connect only to flat files like Microsoft Excel or .CSV spreadsheets, Tableau Public is sufficient for you. |
| If you have an IT team with notable programming skills you can make use of the several packages in Python like matplotlib Basemap, mplot3, Pandas, ggPlot, Plotly, and Seaborn. With these, you can make highly complex data simple with graphs. | Very minimal programming skills needed |
| Multiple graphing libraries and good with streaming data | Instantly consume various file types |
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