• Data processing with R programming

    After completing the topic learners will be able to use R code for sequential and parallel data processing.

    Overview of this topic:

    • Prepare R environment
    • Download data files
    • Load and prepare data
    • Check and select vars
    • Pivot and calculate THI
    • THI statistics and plots
    • Export results to .html

    Instructions for learning activities:
    1. See lesson's video;
    2. Learn from slides & notes;
    3. Try out R code in Colab or ai-notebook.ktu.edu;
    4. Take a quiz: Big Data TEST C;
    5. For support use chatbot bellow or chat with the notes.