Introduction to the Challenge (00:00 - 01:00):
The speaker introduces the November 23 challenge, focusing on learning DAX without prior knowledge and using ChatGPT as a training tool.
Biology Lab Experiment Data (01:00 - 02:00):
The challenge involves data from an A-level biology lab experiment on water potential in potato tubers. The data includes concentrations and mass measurements before and after adding a solution.
Plotting Percentage Change in Mass (02:00 - 03:00):
The goal is to plot the percentage change in mass of the potatoes at different concentrations. The speaker considers using Excel but opts for DAX in Power BI.
Data Table and DAX Formula (03:00 - 04:00):
The speaker shows a data table with concentrations and mass measurements and explains a DAX formula used to calculate the percentage change in mass.
Using ChatGPT for DAX Formulas (04:00 - 05:00):
The speaker demonstrates how to use ChatGPT to generate DAX formulas, emphasizing its ease of use and ability to explain the formulas in a simple manner.
Creating a New Column with DAX (05:00 - 06:00):
ChatGPT provides a DAX formula to create a new column for percentage change in mass. The speaker explains the formula and its components, including handling division by zero.
Implementing the Formula in Power BI (06:00 - 06:51):
The final step involves copying the DAX formula from ChatGPT and pasting it into Power BI to create the new column, demonstrating the practical application of the learned DAX.