IPlayer | 爱播支持列表播放、全屏播放、重力自动旋转、清晰度切换、播放引擎切换、自定义主题颜色、窗口播放等 | Video Player library

I have a large and complex dataset (a bit too complex to share here, and probably not necessary to share the whole thing) but here's an example of what it looks like. This is just one day and the full sample spans hundreds of days:

What I want to do, is to devise a way to count variation of the Genre within each Row. To put it more simply (I hope): each Row has 12 Columns and I want to measure the variation of Genre across those 12 Columns (it's the BBC iPlayer, which many of you might be familiar with). E.g. If a Row is comprised of 4 "sport", 4 "drama", and 4 "documentary", there would be a distinct count of 3 genres.

I'm thinking that a simple distinct count would be a good way to measure variation within each row (the more distinct the count, the higher the variation) but it's not a very nuanced approach. I.e. if a row is comprised of 11 "sport" and 1 "documentary" it's a distinct count of 2. If it's comprised of 6 "sport" and 6 "documentary" it's still a distinct count of 2 - so distinct count doesn't really help in that sense.

I guess I'm asking for advice on two things here:

• Firstly, what would be the most appropriate way to measure variation of Genre within each Row
• Secondly, how would I go about doing that! I.e. what code / packages would I need?

I hope that's all clear, but if not, I'd be happy to elaborate on anything. It's perhaps worth noting (as I mentioned above) that I want to determine variation on a specific date, and the sample data shared here is just one date (but I have hundreds).

Thanks in advance :)

*** Update ***

Thanks for the comments below - especially about sharing a snapshot of the real data (which you'll find below). My apologies - I'm a bit of a novice in this area and not really familiar with the proper conventions!

Here's a sample of the data - I hope it's right and I hope it helps:

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Firstly, apologies if the title of this question isn't clear - let me try to explain. I'm scraping some data from www.bbc.co.uk/iplayer. The site is structured in such as way that there are approx 10 categories (e.g. sports, drama, popular now), within which there are approximately 10 programmes. I've managed to scrape most of the data I need (programme title, genre, and synopsis) and I know how to combine this into a new data frame. Here's my code so far:

I'm looking for some advice as to how to automate commands via Terminal using a Mac.

I'm using a CLI programme called get_iPlayer which essentially allows you to download and store BBC iPlayer content locally. This isn't actually why I'm using it though. I'm collecting data about its catalogue (for academic research purposes, not commercial use) and it's been incredibly useful to that end. It caches a whole bunch of data about all the programmes in the catalogue, but not ALL of the available data.

To get that other data you have to specify the particular programme via a command in terminal which will then download a small xml file containing a relevant metadata. Here's what the command looks like:

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