Can I read PM2.5 Trends from Sensor Data on EtoBox?

PM2.5 Trends from Sensor Data by adipputra8888888 is a document available to read on EtoBox.

What is PM2.5 Trends from Sensor Data about?

The document contains Python code that creates a DataFrame using Pandas to store air quality data, including PM2.5, PM10, temperature, humidity, and wind speed for various sensors over specific dates in June 2024. It then pivots the DataFrame to focus on PM2.5 values by date and sensor location. Finally, it generates a line plot to visualize the trends of PM2.5 levels across different sensors throughout the month.

Author

adipputra8888888

Language

EN