1. Grouping, filtering with Pandas and plotly

    Grouping

    • Grouping is a way to break data into subsets for further analysis
    • Why do we group data? grouping data -and making comparisons between groups- is usually the only way to identify interesting patterns and trends
    • By grouping data you effectively create a 'new' grouped data structure
    • You may recognize that by taking an input and making a new data structure from it, we keep the original data intact, aligning with functional programming concepts
      • i.e., we always want to maintain the integrity of the original data and keep things clear and concise
      • read more
  2. Real-time Drone Folium Maps Drones

    How to Use

    • Run Cell 1:

      • This cell sets up the telemetry functions and initializes the CSV file.
    • Run Cell 2:

      • This cell runs the telemetry loop. It will continuously fetch telemetry data and update the map until you interrupt the cell execution (e.g., using the stop button in Jupyter).
    • Run Cell 3:

      • This cell displays the latest map. You can re-run this cell to refresh the map display with updated data.
      • read more
  3. Real-time Drone Folium Maps GIS

    How to Use

    • Run Cell 1:

      • This cell sets up the telemetry functions and initializes the CSV file.
    • Run Cell 2:

      • This cell runs the telemetry loop. It will continuously fetch telemetry data and update the map until you interrupt the cell execution (e.g., using the stop button in Jupyter).
    • Run Cell 3:

      • This cell displays the latest map. You can re-run this cell to refresh the map display with updated data.
      • read more

« Page 2 / 3 »

links

social