freddy

Got some good suggestions but still looking for more. #Python #OpenData #DataScience #rstats #BigData twitter.com/freddy1876/sta…

I found a USAID nutrition pack lying around and took a photo — just out of curiosity. Later, I checked the image’s metadata… It turns out that GPS coordinates were embedded in it. 👀 So I mapped it. See below for the location! 1/3

Working with wide data? Want to sum several columns quickly — with or without grouping? Here’s how to do it cleanly using data.table in #RStats: 👇

Filtering large datasets in R? You might be using dplyr::filter(), but there's a faster way. 🚀 Let's compare dplyr and data.table for big data filtering. 👇 #rstats #DataScience

How to Select Columns from data.table in R marsja.se/how-to-select-… via @MarsjaSe #rstats #R #DataWrangling

Reverse coding in #RStats youtu.be/iEKg17MfiMA?si…

📈 Need to count unique values in your dataset? Or subset dataframes efficiently? unique() is your go-to function. Checkthe blog post for detailed guides: marsja.se/the-unique-fun… #RStats #DataScience

The Unique Function in #Rstats: How to Use it in 4 Ways marsja.se/the-unique-fun… via @MarsjaSe

R: Remove Rows with Certain Values using dplyr marsja.se/r-remove-rows-… via @MarsjaSe #RStats #Data #datascience

How to Sum Rows in #Rstats: Master Summing Specific Rows with dplyr bit.ly/456fsjw via @MarsjaSe

🔀 Discover the power of random row selection in #Rstats! 🎲 Learn about sample() & slice_sample() functions from dplyr to select subsets. 📊 Level up your R & #Datascience skills with these dynamic row selection techniques! 📚🔬 marsja.se/how-to-randoml…

📢 Hey #RStats enthusiasts! Let's dive into our challenges while working with R and share our experiences. 👩‍💻📊 🔥 What's the most challenging aspect when using #RStats? 🤔#Datascience

@MarsjaSe One challenge I faced with #RStats was handling missing data. Dealing with NA values can be tricky, but here's a solution: use functions like complete.cases() to filter out incomplete observations, or impute missing values using packages like mice or Amelia. 💡 #RStatsChallenges

Upgrading R from RStudio has never been easier! 📦💪 Follow this guide to ensure a smooth transition to the latest R version and enjoy the latest features. #Rstats #RStudio #DataScience #SoftwareUpdate 🔗👉 marsja.se/update-r-rstud…

Enjoyed this thread? Discover detailed instructions and insights in our latest blog post on updating #RStats for #datascience excellence! 📚✨ Link: marsja.se/update-r-rstud…. 📌 Share your thoughts and experiences in the comments below. Let's keep advancing together! 🚀💬 5/5

Mike Driscoll: PyDev of the Week: Benjamin Bennett Alexander ift.tt/s9Iy3Mv

🎯 Master the art of selecting columns in R with this step-by-step guide! 📚 Level up your data manipulation skills. 💪 #datascience #rstats #Rprogramming bit.ly/35XCrRw via @MarsjaSe

📊📝📈 Are you tired of manually creating correlation tables in #APA style for your #Psychology research? Learn how to use #R packages for more efficient reporting. #RStats #datascience marsja.se/report-correla… via @MarsjaSe

Real Python: Python News: What's New From April 2023 ift.tt/FZMgB8m

Hey, #DataScience and #Rstats community! What are your go-to functions for reshaping data from wide to long in R? I love using pivot_longer() and have some tips in the latest blog post! 😎📊 Check it out: bit.ly/41Gqev7

both pivot_longer() and melt() are powerful functions for transforming data from wide to long format in #Rstats. Please choose the one that suits your needs best, and remember to check out our blog post for more insights! 📊 #datascience marsja.se/wide-to-long-i…