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.

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

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

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