FAQ: Cleaning and Transforming Columns - Welcome to Cleaning and Transforming Columns

This community-built FAQ covers the “Welcome to Cleaning and Transforming Columns” exercise from the lesson “Cleaning and Transforming Columns”.

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This exercise can be found in the following Codecademy content:

Getting Started with Python for Data Science

FAQs on the exercise Welcome to Cleaning and Transforming Columns

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Hi fellow Python-learners,

I have absolutely no experience with coding, but my short journey with learning the same so far has been extra-ordinary.
I am focused mostly on using Python (or maybe other languages in the future) to work on data analysis/data science type projects.

While I have been working on the basics of cleaning/sorting and filtering information, I have come across the action of allocating ‘slices’ of a dataframe to newer variables. In order to identify what slice a certain cut is, I try and name variables aptly. Some of this naming is getting confusing and I often find myself going back and renaming the variables based on where the analysis takes me and what further slices I want to extract.

Is this ‘name management’ process/hassle when it comes to variables, a common phenomenon? Have other experienced coders experience the same? Or am I missing something crucial with this?