I believe visual representation is nearly always a much better way to present data-intensive information. However, it may depend on your audience, and the depth of analysis you go into with your results.
If you are repeating each experiment n times, it would be most useful, in the least, to present the average result (the mean), along with a standard deviation. There are many different ways to visually represent your data, but whatever method you use must be able to deliver the main points you need to convey clearly. To help you decide on the best form of presentation of data, here a couple of suggestions:
- Ask yourself what the main message is that you need to deliver from this data, and focus on a delivery style (graph, table, list, whatever) that best delivers that main message (and not all the other stuff)
- Reduce the number of variables you need to display to reduce distractions from that main message. So you wouldn't need to display results from 10 repeats of an experiment when you can just show the average result for that experiment.
- Remember that in the majority of cases, a picture tells a thousand words.
As an aside, regarding your statement "The experiment yields data which will then be manually verified to determine if the data is correct or incorrect." Always believe your data. Your data is always correct. You just have to come up with the explanations for why the data is as it is.