website VS ggplot2-book

Graphics programming analysis done using examples written in WebGL–genius. Hypertext that takes full advantage of the medium. This reminds me of something I'd see on https://pudding.cool/, but it goes far more in depth than anything there. Absolutely fantastic article.

I've been using MSAAx4 in my rendering engine for some time and only recently have considered switching to a FXAA / TAA implementation. I'm actually not sure I'm going to go through with that now. I definitely learned a lot here, and will probably use the analytical approach for UI items, I hadn't heard about that anywhere.

Not often you see graphics-programming stuff on HN. For anyone interested in more graphics write-ups, this list of frame breakdowns is one of my favorite resources:

https://www.adriancourreges.com/blog/

I think NY Times started long back and this style was kinda "cool" that goes well with the narrative. Then, there is https://pudding.cool that does this pretty well. Now, many just copy and tries without a meaningful treatment and is just there - kinda not working-out in most cases.

Tip: Try reading with Reader Mode.

Also check out https://pudding.cool if you’re unfamiliar and enjoy extremely high effort visualizations alongside editorial and educational text content.

Hello all, I am a JS beginner and I am passionate for creating data-driven stories on a website, like Pudding. I have watched some YT videos and learned that Python is a basic skill for dealing with data. However, I am confused about what Python does in such website? I know JS and it libraries like D3.js are used for front-end development and interactive data display, then what's the role of Python? For the website backend (such as Django)? Or is used for data cleaning and analysis? Or others? Or python is not actually required for making a data-driven story website?

https://pudding.cool/ ?

The main reason why I've got interested in frontend is that (1) it seems to be a field that can be much more diverse and collaborative across different fields (ex: working with designers) and (2) it directly interacts with users. Interactive journalism, data visualization, data storytelling (as in The New York Times or The Pudding) are my main interests currently, so it is more accurate to say I got interested in frontend with focus on those specific fields.

pudding.cool, statistical analysis of things like rap lyrics

I also only recently started using ggplot after doing most of my graphs with base R‘s plot() function. I started by reading ggplot2 by Hadley Wickham which is also available as a free ebook. Reading the first few chapters is enough to enable you to plot many basic plots. I can’t imagine going back to any other visualization tool ever again. Absolutely love the freedom ggplot gives you.

His ggplot book will teach you all you need to know about R plotting, and is probably right at your current level. It is likewise pretty great, ggplot

The OG book is still the best in my opinion! https://ggplot2-book.org/

You could use base R, see ?plot but a lot of people would use ggplot2. However, looking at your data it won’t look very good because there’s going to be very few points per country.

If you included DESCRIPTION to your repository (like in ggplot2-book - https://github.com/hadley/ggplot2-book/blob/master/DESCRIPTION ) devtools::install_deps() and renv::install() will install dependencies listed there as would pip with requirements.txt , you can trigger this from your R script, from command line or from whatever deployment / automation tool you are using.

Chapters 1-8 of https://adv-r.hadley.nz/, https://r4ds.had.co.nz/ , and https://ggplot2-book.org/ were covered in my statistical computing courses. I don't think it gets much more advanced than that at the undergrad level.

You can check out more about Ggplot2 here: https://ggplot2-book.org/

* "ggplot2: Elegant graphics for data analysis" : https://ggplot2-book.org/