awesome-public-datasets VS tidytuesday

Merry Christmas buddy.

You'll find a ton of public datasets on GitHub [1].

Maven Analytics offers a monthly data analytics challenge [2] that you can enter for free. See their past competitions for some interesting datasets.

As I'm based in Ireland I'll also recommend the Irish Data Portal [3].

[1] https://github.com/awesomedata/awesome-public-datasets

The “data.csv” file contains historical weather data from Tel Aviv, sourced from another article I wrote. If you wish, you can swap it with a public dataset, for example, from here.

If you want something personal and fun, you will need lots of different data. As such, you can take a look at these publicly available datasets. Maybe you can find out some interesting relationships.

Some others I use: https://data.world/search This github project with links: https://github.com/awesomedata/awesome-public-datasets Data.fivethirtyeight.com r/datasets and similar subreddits can also be of help.

There's a lot in here; it's a good start.

Github: Awesome Public Datasets I didn't find much of use here for me, as much of this was either very specialized or very large datasets. But maybe you'll find something of use, here.

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.