GLAM Workbench update: https://lnkd.in/gdJdJu4X I was recently contacted by a researcher who wanted to be able to automatically download the issues of a digitised periodical in Trove as PDFs. There was already a notebook in the GLAM Workbench that downloads the issues of a digitised newspaper as PDFs, but newspapers work differently to other digitised periodicals in Trove. While there was no corresponding notebook for other types of periodicals, all the necessary steps were documented in the Trove Data Guide, so it was just a matter of pulling together a few blocks of code...
GLAM Workbench’s Post
More Relevant Posts
-
Are you interested in meta-Analysis? Here is our R-Script prepared for you, which includes: 1. Meta-analysis r-script template 2. 04 example data files used in the r-script 3. Images generated using the r-script 4. PDF of the published study using the demonstrated meta-analysis Download url: https://lnkd.in/g3TGMMtF #metaAnalysis #rcode #literatureReview
My Downloadable
researchhub.org
-
📊 R Highlight: Effortless Summary Tables with gtsummary 📊 Ready to make your data shine? With the gtsummary package in R, you can create publication-ready summary tables in just a few lines of code! 🎉 🔹 Why Use gtsummary? Say goodbye to complex formatting! The gtsummary package makes it incredibly easy to generate professional tables for your research papers, presentations, and reports. In just two lines of code, you get a clean, well-structured summary table—perfect for publication or sharing with your research team. Want to master this and other powerful R tools? Our ""Biostatistics with R"" course teaches you how to harness gtsummary and much more to elevate your research! Don't miss out—learn to create beautiful tables that impress! 👉 https://lnkd.in/du6iTeud
-
-
Product tour of Writer's Knowledge Graph capabilities: "Knowledge Graph is our graph-based approach to retrieval-augmented generation. It connects our LLMs to your internal data and enables you to get accurate answers and accelerate your workflows." While I appreciate the seeming ease of use, I have questions: 1. Must the reference source content be PDF articles? Most users need to access information scattered across multiple web pages and sites. 2. How is the knowledge graph constructed? There is nothing in the demo about this...without seeing the graph, I don't know it's not a vector store. Making a graph is not trivial...it requires human curation and validation. If you've used this feature yourself, I'm curious to hear your experiences. https://lnkd.in/eZxZMZVs
Knowlege Graph overview
writer.com
-
Support semantic search with Core Spotlight https://lnkd.in/gCHtfeDn
-
Editor &Publisher DATABASE DEBUNKINGS, Data and Relational Fundamentalist,Consultant, Analyst, Author, Educator, Speaker
Fundamental Truth of the Day (I bet you did not know) ---------------------------------------------------------- “We propose a revision to the natural/surrogate keys classification that takes into consideration properties vs. names, and is more in line with modeling, design and formal requirements of RDM than conventional wisdom. 1. Divide attributes into those representing either: a. identifying properties, or b. assigned names. 2. Further divide names into: a. pre-existing the database (and, possibly, issued and managed outside the DBMS); or. b. created expressly for the database. Yields four key categories: * NKs that represent properties (1a2a) and names (1a2b); and, * SKs that represent properties (1b2a) and names (1b2b).” --------------------------------------------------- New! PRIMARY KEYS: A NEW UNDERSTANDING New! https://lnkd.in/gQvpzGN
PAPERS
dbdebunk.com