Anna SdTC3d ago
My name is Anna and I am an academic studying different topics around sustainability and social responsibility. In recent projects I have focused on labor issues, on the circular economy, on consumer behavior, and on how DEI spreads along supply chains, but I am interested in infinitely many other topics. Methods-wise I use mostly econometrics, with occasional experiments and (recently) analytical modeling. I teach mostly MBAs and some ExecEd. #introduction
Show threadAnna SdTC3d ago

I used to be quite active on that one bird social network until that one guy purchased it, and then I removed myself from it. From those days, I remember learning a lot from many other folks, many of them in a different field: economists, sociologists, environmental scientists, statisticians, humanities scholars, etc. but also from policymakers, people who were in tech or in many other industries.

I am opening this account with the hope of recapturing that experience. #introduction

Show threadAnna SdTC3d ago

Here are some of the things I would like to learn or I have been learning recently:

- CSRD ✅
- LCA ✅
- ISO 59020 (in progress)
- data.table syntax (in progress)
- Markdown (in progress)
- tidyverse syntax (to do)
- Tableau (to do)
- Typing (I still use two fingers 🤭)
- Mathematica language
- Accounting
- Finance
- Macroeconomics

If you know of good resources to learn any of these (not necessarily for free), please do share. Bonus points for being from/in the EU.

Show threadGreen Fleuron1d ago

@annasdtc for learning tidyverse syntax, here's what I usually do: I identify the package within the tidyverse which helps with the particular task at hand (e.g. reading data from an excel sheet with readxl, tidy up the data with tidyr, transform/combine the data with dplyr and plot it with ggplot2).

Once I have found the package within the tidyverse, I found the cheat sheets on the page of posit (the people who make RStudio) pretty helpful to get an overview of the package.

https://opensource.posit.co/resources/cheatsheets/?languages=R

I like the visualization of the dplyr one in particular

https://opensource.posit.co/resources/cheatsheets/data-transformation/

The data import one has multiple packages shown/mentioned (so not just my mentioned readxl): https://opensource.posit.co/resources/cheatsheets/data-import/

Cheatsheets

Quick reference guides for our tools

Posit Open Source
Show threadAnna SdTC
@fleuron I have found the cheatsheets useful for "how was that one thing I used to do" kind of situations, but not quite for learning to do new stuff. But I may give it a new try. And I agree with the usefulness of the visualizations. I also was unaware that ggplot is considered part of the tidyverse! (I do use ggplot often)
5:45pmWeb
Show threadGreen Fleuron15h ago

@annasdtc yeah, I agree that they are not the best as an introduction, it was more as a general learning resource.

Sometimes I look for a function, suspecting it to be in dplyr, but actually finding it in tidyr.

I've heard good things about data camp, they have a lot of different R courses, with both tidyverse as a general topic as well as other package specific courses.

https://www.datacamp.com/category/r

there are so many different courses (and so many different structures for their courses (skill tracks, career tracks, topics, programming languages, 😵)) that I struggle to recommend anything specific, but the courses usually have interactive excercises.

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