Writing Technique | Information evaluation | Python
Evaluation of knowledge extracted from Medium tags (free dataset).
For brand spanking new freelance writers, aspiring content material creators, or anybody feeling demotivated by low view counts, this text presents tips about tagging your articles. It additionally helps you determine which matters to jot down about.
After I first began writing, I knew I wished to jot down about expertise, however I did not know what “area of interest” I ought to deal with (sure, a buzzword that each content material creator guru talks about).
So my key query is — Which expertise tags entice a wider viewers however face much less competitors from different writers and articles?
I rapidly admire Medium topic web page to discover some concepts however which require extra granularity than easy information of the matters.
I wish to know the entire variety of subscribers, authorsAnd articles to gauge the competitors. Though this data is publicly obtainable, opening every hyperlink individually to find out this information is time consuming, particularly when I’m analyzing a number of matters.
Subsequently, I used my Python abilities, accessed the obtainable paid API providers, gathered them (particularly the one within the Know-how part) and made them obtainable at no cost on my Gumroad 🤓
Let’s begin by analyzing the info with Python.
⚙️ Import libraries
We are going to deal with information visualization, so we’ll solely want the Plotly Specific library to…