About Sharon Machlis
Sharon is an award-winning journalist and data analyst who is equally at home analyzing data, coding tools for journalists, and covering technology. She is currently director of editorial data & analytics at Foundry (an IDG Inc. company), which publishes tech Web sites including Computerworld, CIO, PCWorld, and Macworld; and author of InfoWorld's Do More With R series .
Her book, Practical R for Mass Communication and Journalism, is available from publisher CRC Press and Amazon (you can see Six chapters free online).
Sharon is well known in the R community. She has taught workshops at ProPublica, and Investigative Reporters and Editors conferences and keynoted the 2020 European R User Meeting.
Sharon received an ASBPE national gold award for impact/investigative online excellence (see story) and two ASBPE national golds for best how-to article (see 2014 and 2017 winners) She was also named the Digital Analytics Association's top practitioner in 2021 for her work analyzing data at her job and in her community.
Sharon holds an Extra-class ham radio license and was honored by the Association of Radio Amateurs of Bosnia & Herzegovina "for extraordinary contribution to transmitting humanitarian messages of the citizens of Bosnia-Herzegovina" during the 1992-95 war.
Sharon's other hobbies include photography, travel, hiking, snowshoeing, crocheting, and classical piano. And, she's somewhat obsessed with both generative AI and the R programming language.
You can follow Sharon on Mastodon at @smach@masto.machlis.com and her searchable app with her Mastodon posts, as well as on LinkedIn. (She is not currently active on Twitter, but you can see her prior tweets at @sharon000.)
Sharon's Recent InfoWorld and Computerworld Articles
5 easy ways to run an LLM locally 2024-03-28
How to run R in Visual Studio Code 2024-02-15
Posit lays off R Markdown, knitr creator Yihui Xie 2024-01-05
8 ChatGPT tools for R programming 2023-12-21
Anthropic's Claude 2.1 LLM turbocharges performance, offers beta tool use 2023-11-21
Anthropic's Claude 2.1 LLM turbocharges performance, offers beta tool use 2023-11-21
Sharon's Data-Related Mastodon Posts
“AI Use Cases for R Enthusiasts” - Upcoming Workshop for Ukraine this Thursday, May 9, noon ET/6 pm CET/9 am PT with Dr. Albert Rapp ( @rappa753 but not too active here). Donate 20 euro/20 USD for this live 2-hour session - or if you can’t make it, access to recordings & materials.
Rapp says you'll leave with “fresh ideas and practical strategies for using AI.”
https://sites.google.com/view/dariia-mykhailyshyna/main/r-workshops-for-ukraine
#rstats #AI #GenAI @rstats (2024-05-07 11:54:17) >>
Ari Lamstein says his "Visualizing the Impact of Covid-19 on US Counties" blog post may be of interest if you want to "learn how to build data apps in Python, as the entire project is released under a permissive license (MIT), and is publicly available on GitHub."
Post: https://arilamstein.com/blog/2024/05/04/visualizing-the-impact-of-covid-19-on-us-counties/
Streamlit app: https://census-explorer.streamlit.app/
GitHub repo: https://github.com/arilamstein/censusdis-streamlit/tree/main
#Python #Streamlit #Covid19 #dataviz #ddj #USCensus @python (2024-05-05 16:51:16) >>
The TinyChart-3B LLM answers questions about data visualizations. It can also generate underlying data from a dataviz and Python code to re-create a similar chart.
Demo on Hugging Face: https://huggingface.co/spaces/mPLUG/TinyChart-3B
Code: https://github.com/X-PLUG/mPLUG-DocOwl/tree/main/TinyChart
Paper: https://arxiv.org/abs/2404.16635 8 authors from the Alibaba Group and Renmin University of China
#GenAI #LLMs (2024-05-05 01:52:30) >>
{tidycensus} #rstats 📦 creator Kyle Walker: "Want all 8.13 million US Census blocks available for your #GIS project? It's a one-liner in #rstats thanks to the tigris and purrr packages:
us_blocks <- purrr::map_dfr(c(https://t.co/RfFgUSx1a6, "DC"), ~tigris::blocks(state = .x, year = 2023))
Downloading will take time; set `options(tigris_use_cache = TRUE)` beforehand to build a local cache of block shapefiles that you can access without having to download."
#rspatial @rstats (2024-05-02 23:34:11) >>