francojc
commented
1 month ago Exploratory analysis is the most involved analysis type. The methods are varied and the strategies needed to approach certain questions require a series of considerations, including the format of the data/ dataset.
If you get the general concept of exploratory analysis, and can recognize some of the indicative analysis methods --that is a great start. Learning the packages and other things will come if you continue to work with R and text analysis.
You can explore the R-universe site which has a lot of great information on packages and includes a much more user-friendly search interface that the R-project website.
I learned how to describe a dataset simply, and in more certain terms, including describing it in a way that denotes its tidy or not tidy status. I also learned how to think about how I would process the data, i.e. what steps I would take and what functions I would use, to alter and organize the data to fit my needs, also defined by me. This was the most challenging part, making the code do as I say, and thinking of how I will alter the data. I have to know what my goal is before I proceed to finishing it, and sometimes this can be difficult for me. I do wonder what packages to use, and if there is a generalized documentation for all the tidy files, without having to use the ?[function] command. @francojc