Great question, visualizing time course data in a 96-well format can definitely get tricky, especially when trying to preserve both the kinetics and spatial layout of the plate.
One approach that’s worked for me is to first reshape the raw data into a long format where each row includes: Time, Well ID (e.g., A1, A2…), and the corresponding measurement. Then, in Graph Builder, you can assign Time to the X-axis and the Response to the Y-axis. To preserve the plate layout visually, use the Well ID to map the data spatially. Drag the Well ID to the Map zone, which should reflect the physical position of each well on the plate.
To see the full kinetics for all 96 wells at once, you can also consider using small multiples (facet plots). Each panel will show the time course for a single well, allowing you to detect outliers, trends, or patterns across the plate. If your software allows it, faceting by rows and columns (based on the plate layout) will make it even easier to interpret.
Also, for plate mapping and planning your visualization more effectively, you might find this 96 well plate template helpful, it’s a handy reference when aligning your data structure with the physical layout of the microtiter plate.
Hope this helps! Let me know if you need help with reshaping your dataset or setting up the small multiples.