Data Analytics. Data Science. Data Visualization. Geospatial Maps. Statistics. for more contact us at [email protected] www(dot)dataRecode(dot)com
Joined August 2022
- Tweets154
- Following27
- Followers20
- Likes35
@dataRecode retweeted
💫Just added a starter vignette to #typecleanR 👇
📏Roadmap highlights:
* Factor coercion → detect categorical text & convert to factors
* Integer coercion → distinguish whole numbers vs decimals
* Currency & percentage coercion → strip $, €, ETB or convert “45%” cleanly
* Boolean & empty string coercion → broader logical detection + consistent NA handling
* Scientific notation coercion → safely parse 1.23e4
Messy inputs → clean types → stronger analytics & safer #LLM orchestration. #rstats
📢 📦New R package alert: typecleanR
I’ve just released an early version of typecleanR on GitHub! A tidyverse‑friendly toolkit for cleaning coercion types in a data.
It provides helpers for:
* Numeric coercion → safely convert text to numbers.
* Date coercion → strict conversion when all values match.
*Logical coercion → handle TRUE/FALSE/T/F consistently.
* Lenient datetime parsing → flexibly parse mixed formats, drop bad values to NA.
👉 It’s live here: github.com/abiyug/typecleanR
Install with:
devtools::install_github("abiyug/typecleanR")
💡 I’d love for the community to test run it, break it, and share feedback before I polish docs and add CI. Your input will help shape the package into something robust and useful for messy Excel/CSV workflows. #rstats #R
@dataRecode retweeted
📢 📦New R package alert: typecleanR
I’ve just released an early version of typecleanR on GitHub! A tidyverse‑friendly toolkit for cleaning coercion types in a data.
It provides helpers for:
* Numeric coercion → safely convert text to numbers.
* Date coercion → strict conversion when all values match.
*Logical coercion → handle TRUE/FALSE/T/F consistently.
* Lenient datetime parsing → flexibly parse mixed formats, drop bad values to NA.
👉 It’s live here: github.com/abiyug/typecleanR
Install with:
devtools::install_github("abiyug/typecleanR")
💡 I’d love for the community to test run it, break it, and share feedback before I polish docs and add CI. Your input will help shape the package into something robust and useful for messy Excel/CSV workflows. #rstats #R
🤖 Made with AI
@dataRecode retweeted
📢 Website Access Update for Our Ethiopian Visitors
We’ve heard from many of you that our website [dataRecode (dot) com] isn’t currently loading in #Ethiopia. We’re aware of the issue, and it appears to be related to broader network restrictions affecting GitHub-hosted sites.
We’re actively working on a solution to ensure smooth access for everyone, including exploring alternative hosting options that are fully accessible within Ethiopia.
In the meantime, if you need anything — product info, support, or updates — feel free to reach out directly here or via DM. We’re here and ready to help.
Thank you for your patience and continued support. We’ll keep you posted as we resolve this!
@dataRecode retweeted
Decided to count down to #Ethiopia|n new year (about 3 weeks to go -> 2016!), with as many data driven #art as possible adding to the collection. #generativeart #rtistry #rstats
ALT generative art plotted with ggplot2, code generated with R programming lang. Graphics: dataRecode, Date: Aug/2023
@dataRecode retweeted
Saw a tweet from @Temesgen04 regarding data for 19 types of #agricultural crops collected around urban/rural markets in #Ethiopia by @EthiopianATA. Teff being the primary staple of local diet, generated the #dataviz for wholesale price of quntal (~100kg) of White (netch) Teff
@dataRecode retweeted
For last weeks #tidytuesday, plotted the big tech stocks trend from 2010-2013, smoothed applying Generalized Additive Models. During the COVID pandemic big tech stock prices increases at a faster clip then declined simultaneously second half of 2021. #rstats
ALT US Big Tech stock trend from 2010-2013. Graphics: @abiyugiday