Sometimes you get data in less than optimal format, e.g. as a png of a figure 😭... In that case https://cran.r-project.org/web/packages/metaDigitise/vignettes/metaDigitise.html might be the rescue. #rstats #ohno #datawrangling

Say goodbye to the frustrations of copying and pasting data to and from R with Datapasta 3.1.1! Get the package now: https://milesmcbain.github.io/datapasta/ #DataWrangling #Rstats

Sometimes you get data in less than optimal format, e.g. as a png of a figure 😭... In that case https://cran.r-project.org/web/packages/metaDigitise/vignettes/metaDigitise.html might be the rescue. #rstats #ohno #datawrangling

I finally pushed myself and published my personal website:

https://sebastianlammers.com/

It's where I experiment with all things web, like #html #css #javascript esp. #svelte and #svg most often in the context of #dataviz or similar forms of visual storytelling.

I have also put my first blog post up, where I share some notes on #dataWrangling in javascript:
https://sebastianlammers.com/posts/data-in-js-00

It's a multipart post aimed to be very beginner friendly.

Enjoy!

Easy Data Transform v1.40.0 now available for all your #datacleaning, #datawrangling and #dataanalysis needs.
https://www.easydatatransform.com/newsletters/newsletter_25_apr_2023.html

I love wrangling complex problems and answering the why with qual/quant data. It's like solving a puzzle, but with real-world consequences.
#datawrangling #productdev #datascience #analytics

Say goodbye to the frustrations of copying and pasting data to and from R with Datapasta 3.1.1! Get the package now: https://milesmcbain.github.io/datapasta/ #DataWrangling #Rstats

🕸️ Web Scraping with Selenium and Beautiful Soup

I have been gone for a little while, working very hard on personal life issues (a tree fell on my house and almost killed my daughter and me and has us still without home a month later) as well as on an exciting and expansive project. But I just had to share the joy I find with web scraping. So I wrote this awesome little article! Happy data wrangling!

https://www.evanmarie.com/web_scraping_selenium_beautiful_soup/

#datascience #datawrangling #webscraping #selenium #beautifulsoup

🛠️ Custom Jupyter Helper Functions

My latest article, in which I share with you some of my favorite custom functions for working with data and creating beautiful and more communicative, efficient, and effective Jupyter notebooks.

https://www.evanmarie.com/helper_functions/

#jupyternotebook #jupyter #python #datascience #datawrangling

Is it better to have small chapters and assign multiple chapters a week, or to have big chapters that encompass roughly a week's material? Trying to put together my #quarto textbook for the spring for a course on #datawrangling in #rstats and #python.

Sometimes you get data in less than optimal format, e.g. as a png of a figure 😭... In that case https://cran.r-project.org/web/packages/metaDigitise/vignettes/metaDigitise.html might be the rescue. #rstats #ohno #datawrangling

Script fixed; it has about 2023 patches by now. 😏
Happy new year— with a new corpus version!

#dataWrangling #nlp #nlproc

Hello again, silly #dataWrangling #python script! Did you miss me in the last month?

Do any #Rstats people know of a good reference that would help me get better at #datawrangling? Particularly for unhelpfully set out Excel files.

when working with ecological data, we often need to group the data based on a particular variable in R. An easy way to do this is using the function group_by() from 'dplyr' package. Check out our blog post to learn how!

https://www.rforecology.com/post/how-to-use-the-group-by-function/

#RforEcology #Rstats #Rstudio #dplyr #dataWrangling #ecology

JSON Crack https://jsoncrack.com looks quite useful for quickly checking the structure of nested data. has anybody already used it for some data wrangling?
#dataVis #dataWrangling

Please recommend your favourite #learning #resource to dig into datawrangling in #javaScript!

I see lots of folks using lodash. Do you have a nice tutorial to look at?

If not, what do you prefer?

(I can write #rstats {dplyr} in my sleep and love the simplicity of chaining e.g. select(), filter(), group_by(), summarise().)

Open to any suggestion to learn effective datawrangling in JS.

#hiveMind #js #help #data #dataWrangling