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Use These Techniques to Perfect Your Line Charts | {ggplot2} Step-by-Step Tutorial 

Albert Rapp
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21 авг 2024

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Комментарии : 14   
@JosephEdjeani
@JosephEdjeani Месяц назад
This is very helpful,Thank You
@ambhat3953
@ambhat3953 Месяц назад
Felt like i completed my PhD in ggplot line charts after watching this video. Thnx for the extra packages info which was not aware of
@oluwafemioyedele
@oluwafemioyedele Месяц назад
This is very useful, thank you for sharing this❤
@rappa753
@rappa753 Месяц назад
You're welcome. I'm glad that it's helpful 😊
@rappa753
@rappa753 Месяц назад
If you enjoyed this video and want to level up your R skills even further, check out my latest video courses: 📍Data Cleaning Master Class at data-cleaning.albert-rapp.de/ 📍Insightful Data Visualizations for "Uncreative" R Users at arapp.thinkific.com/courses/insightful-data-visualizations-for-uncreative-r-users
@AlbertoFCabreraCasillas
@AlbertoFCabreraCasillas Месяц назад
Imagination along with technical prowess makes this RU-vid lesson on line charts invaluable. I wonder if you could share the source of the Okabe Ito color palette you displayed in your presentation (minute 4:14).
@rappa753
@rappa753 Месяц назад
Good question. I'm not so sure where I got the image from. But in general I take the hex codes often from mikemol.github.io/technique/colorblind/2018/02/11/color-safe-palette.html
@morethanBI
@morethanBI Месяц назад
Very wonderful teaching! Is there any way to achieve a similar chart in plotly?
@rappa753
@rappa753 Месяц назад
Glad that you enjoyed my teaching style 😊 I'm not sure if plotly has similar extensions for the area highlights and the callout box 🤔
@reem19681
@reem19681 Месяц назад
Fantastic
@rappa753
@rappa753 Месяц назад
Glad that you enjoyed the video 🤗 and also fantastic emoji. I haven't seen that one before 🥳😃
@hendrikpehlke4973
@hendrikpehlke4973 Месяц назад
Cool, thank you. I learned a lot. But, please tell me what is '|>'? What is the difference to the normal pipe operator '%>%'?
@rappa753
@rappa753 Месяц назад
That's R's own pipe operator. Since R 4.1 there is one and I use that because it doesn't require me to load the magrittr package to use a pipe. R's build-in pipe works mostly the same but there are two major differences. The right-hand side always has to be a function call, i.e. end with parantheses (), and if you want to insert the left-hand side of the pipe into a particular position, then you have to use an underscore as in function(x = _). This works only with named arguments though.
@hendrikpehlke4973
@hendrikpehlke4973 Месяц назад
@@rappa753 Thank you very much!
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