website VS tidytuesday

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

TidyTuesday is a weekly data cleaning project where a new, interesting data source is linked to each week: https://github.com/rfordatascience/tidytuesday

For R, I don't have specific resources, but I remember I started out with doing tidytuesdays challenge (https://github.com/rfordatascience/tidytuesday).

Tidy Tuesday has data and links to more data. The nice thing about those data sets is that you can search for what other people did with the data on social media (e.g. Twitter).

Dataset: https://github.com/rfordatascience/tidytuesday/tree/master/data/2022/2022-11-01

What you're describing is contributing to open source. Some things I'd suggest doing: - learn some git first - create GitHub account and create at least a practice repo - look at learning community-related repos, like Tidy Tuesday - follow R "power" users, people associated with RStudio, and similar folks on social media. Those folks will sometimes mention projects aimed at beginners.

Data: TidyTuesday April 4

The Tidy Tuesday git repo has a lot of example datasets to work with.

I mostly use ggplot2 in R for visualisations which means that The R Graph Gallery is my starting point for inspiration. The best thing to do is start with a simple idea that tells a story, and one of the best guys out there that does this is Cedric Scherer. He is involved a bit with the TidyTuesday project which I wish I had more time to play around with, and is a great starting point for developing a library of vis techniques.