Visualization Basics

What does not get discussed about analysis: Chaos to order How can you ensure that the many lines of code you write meet the objective? Critical phases of analysing data is after you have the dataset and before you set up the environment, to write codes. There is a science to what data we have access to and will it suffice to answer questions the business is seeking. That is a discussion for another time. Here we will focus on what happens once data is available. An effort that is critical to the success of any analysis exercise is to organize thought. Organizing data and thought: This is the phase before we begin to set up the environment to run the codes. The analysis begins much before we start writing the code. The process begins with understanding the question. Map it against the libraries of Python, Mathematics, statistics, colour, language. That is not a comprehensive but a good starting point.  Let’s understand this with an...
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