Data Wrangling Techniques in Julia - Part 2 | Tom Kwong

[@giuliko]

Excellent Tom, thanks a lot my friend. One question, is there a keyboard shortcut for the pipe symbol in jupyter notebook?

[@tomkwong7098]

If you are asking about the triangle looking symbol, then it's really the same as the regular pipe `|>`. It's displayed like a triangle because I turned on "ligatures" in VSCode and my font (Fira Code, I think) supports that.

[@oumardiallo7292]

Excellent work Tom. I enjoyed bot video and materials. I am looking forward to more of this. Thx. 1 question: how to get triangle (for |>) when using pipe?

[@oumardiallo7292]

got it: font cascadia code / font ligatures

[@cescalan9]

@@oumardiallo7292 Hello. Please, how to get triangle (for |>) when using pipe? I have not been able to get the symbol in Visual Studio Code. I would appreciate it if you could explain to me how to do it. Thanks

[@oumardiallo7292]

@@cescalan9 Hi Cesar, Go to Settings, add JuliaMono to your fonts, and set fontLigatures to "true". google/youtube are your friends: search "font ligatures vscode" you can find plenty of resources on this.

[@cescalan9]

@@oumardiallo7292 Gracias, Oumar.

[@oumardiallo7292]

@@cescalan9 De nada!

[@fburton8]

Great presentation. I have a qustion: Why is splitting Male and Female categories into colums more tidy, whereas splitting Year into columns isn't?

[@ruibinliu6857]

It's a time-series data set, which means an 'oberservation' is by year.

[@fburton8]

@@ruibinliu6857 Thanks! Given the assumption of it being a time series, I can see why that would be the case. I wonder if it would be possible for dataframes (Julia, R) to have a method that rearranges rows and columns automatically to conform to 'tidy' structure, and what additional info would need to be given (e.g. "this is time-series data and this column is time") to do this.

[@andresjvazquez]

We're in your debt, Tom