[SnakeData]Usecase - How to perform simple data validations

    Now we will step slightly aside of the straight-forward function and file overviews and we'll see an example of possible application of the SnakeData system. For that purpose I have prepared 3 csv data sets representing 3 separate waves of an imaginary study with intensional logic errors in one of the sets. Csv data files & data generator file /data generator file was made on Libreoffice's Calc but it should be compatible with Excel/ and case1 main system.

    In many online studies we have the below question:

How do I run Python?

    There are a couple of ways to run Python on your PC/laptop and there is no better or worse way to do so - just the one that is most convenient to you. Python itself comes with integrated IDE /Integrated Development Environment/ called IDLE and it is good enough for beginners to learn the basics of this programming language. There are also lots of other very well developed IDEs available online - Spyder /part of Anaconda platform/, Jupyter Notebook /very useful for data science and data science/, PyCharm, Visual Studio Code... And there is no single answer which one is best.

[SnakeData]The terminal

   Hey there, the first post related to SnakeData will be dedicated to the console.py file and some basix functionalities of the standalone terminal /console.exe/. The entire code is on the printscreen below: