Writing Strategy | Data analysis | Python
Analysis of data extracted from Medium tags (free dataset).
For new freelance writers, aspiring content creators, or anyone feeling demotivated by low view counts, this article offers tips on tagging your articles. It also helps you decide which topics to write about.
When I first started writing, I knew I wanted to write about technology, but I didn’t know what “niche” I should focus on (yes, a buzzword that every content creator guru talks about).
So my key question is — Which technology tags attract a wider audience but face less competition from other writers and articles?
I quickly admire Medium subject page to explore some ideas but which require more granularity than simple knowledge of the topics.
I want to know the total number of subscribers, authorsAnd articles to gauge the competition. Although this information is publicly available, opening each link individually to determine this data is time consuming, especially when I am analyzing multiple topics.
Therefore, I used my Python skills, accessed the available paid API services, gathered them (especially the one in the Technology section) and made them available for free on my Gumroad 🤓
Let’s start by analyzing the data with Python.
⚙️ Import libraries
We will focus on data visualization, so we will only need the Plotly Express library to…