Visualizing website and social media metrics with matplotlib [notebook]

The notebook uses Matplotlib.pyplot to create a series of visualizations to analyze PyBites' Twitter activity, blog tag usage, website traffic, and social media trends. The visualizations include a line chart depicting the frequency of tweets per day, a histogram showing the distribution of tags used per blog article, and a scatterplot illustrating the relationship between the number of shares and visits to PyBites content. Additionally, a multi-line plot demonstrates the interest rates of various social media platforms using Google Trends data, highlighting the growth in popularity of platforms like Instagram, Reddit, and WhatsApp. The document concludes with a challenge for readers to create a programming language ranking, similar to existing models like Redmonk or PYPL, and suggests further resources for learning data visualization in Python.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.