cheatsheets VS awesome-public-datasets

If you're an R user, stringr + its cheatsheet gets you very close to remembering what to do without needing to look further!

For more information on how to use ggplot2 and create charts consult the ggplot2 official page or the ggplot2 cheat graphic.

I'd suggest you have a look at cheatsheets (or download them from GitHub) if you want to get to know your way around a package or set if functions, it saves you a lot of time.

You could use geom_hline and geom_vline, geom_abline, or geom_segment for this. (The ggplot cheat sheet is very useful for answering these kinds of questions, BTW.)

I can't say for sure because I don't know what your ultimate aim is for your visualization. Check out the cheat sheet for ggplot2 here.

Finally just do your analysis. You should also should give a try and see the cheat sheet for data importing on the tidyverse package.

That said, when I’m trying to come up with an interesting way to visualize data, I find the ggplot cheat sheet very helpful: https://github.com/rstudio/cheatsheets/raw/main/data-visualization-2.1.pdf

Here's a cheat sheet: https://github.com/rstudio/cheatsheets/blob/main/strings.pdf

The cheat sheet of the stringr package should give you good overview of string manipulation/ regex in R.

I would very highly recommend that rather than trying to get started by translating an existing graph, you check out some documentation about ggplot first. If nothing else, the ggplot cheat sheet from RStudio should help explain what the component parts of the code are, and that might help you figure out what you actually want to do.

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.

Of these thousands of open source data sets? https://github.com/awesomedata/awesome-public-datasets