Thanks John. But does the metadata relate to the entire dataset or individual elements in the dataset?
For example, lets say I have a dataset of images, and I would like to attach metadata to each image - e.g. a "type" field which could have values 1,2,3,4,5...
How would the dataframe be constructed? I assume one column would contain an ID identifying the image, and the other column would be "type". If this is the case, what would the ID be?

OK so if I understand correctly, you can only add metadata to items in the enterprise version.
Just to confirm, the screen shot in the dataops pages here refers to the enterprise version?
None

A bar graph takes a set of numbers and assigns a bar to each number where the height of the bar represents the number. This is what you see in the example in the link I attached.
A histogram takes a set of number and divides them into bins, and plots the number of samples in each bin.

John, regarding documentation - what is mainly missing is how he dataframe / numpy / dict is structures. Yes, an example would be helpful

I disagree that the difference is minute 🙂 They are fundamentally different plots. The term used by clearml is misleading.
I will use the manual plotting feature with matplotlib