Virscidian, LLC’s Post

📊 Discover how to leverage the powerful LET, VSTACK, UNIQUE, CHOOSECOLS, and REDUCE functions to streamline your data summarisation tasks. Whether you're on Excel's Beta Channel or not, we've got you covered with alternative techniques for achieving the same results. 🔥 Don't miss out on learning essential Excel skills that will take your data analysis game to the next level! Watch now and revolutionize your spreadsheet workflows! 💡 #exceltips #excelformulas #office365 #microsoftexcel https://lnkd.in/gq6vA97C 

Raise your hand if you’re in love with conditional formatting rules?! Anywayyy it’s been a busy summer at Deepnote 🥵, and sometimes we quickly move on to working on the next thing, so I made this little overview about our new data table formatting feature. It’s useful and cute:

RAG pipeline pro tip 💡: > Convert document tables & visuals/graphics to markdown. Result? > Better accuracy > Less hallucination > Answers queries on complex tables & visuals Benefits: > Improved response quality > Better handling of structured data > Enhanced visual information extraction Trade-offs to consider: > Slightly more processing time > Increased token usage But trust me, it's totally worth it! Check out my end-to-end Google Colab notebook to get started! (in the comments). #RAG #AICommunity #AIHacks #TechTips

Lacking confidence in when to use a confidence interval? Then this session is for you! Dr. Aaron Reedy of DataClassroom will cover the properties of error bars commonly used in graphs and show you how they might fit in presenting numeric data in different graphs. Specifically we will cover 95% CI, SEM, Standard Deviation, and Box Plots. Come learn with us! Weds, July 10th at 4:15PM EST https://lnkd.in/dreNVZnR

"Is the data correct? Tips and tricks for debugging and visualizing data with UDE". In our webinar on Thursday, May 16, 2024, 2 pm CEST (we had to reschedule to 2 p.m.), Jens Braunes, Product Marketing Manager at PLS Programmierbare Logik & Systeme GmbH, will introduce you to the UDE user interface and show you how to get the best overview. We will use practical examples to show the special features that UDE offers for easy and efficient multi-core debugging. The UDE covers data breakpoints, visualization of values during code execution, and presentation of data in various charts. https://bit.ly/3xXMnLh

🚀 Revolutionizing Report Generation with LlamaCloud 📝🤖 Say goodbye to manual report generation! With LlamaCloud, you can now automate the creation of detailed research reports using AI-powered tools. From data extraction 📊 to generating professional-grade documents 📑, LlamaCloud is transforming how we handle complex information. Whether it's analyzing data or summarizing research findings, this demo shows how to streamline your workflow and save time! Curious to try? #AI #Automation #LlamaCloud #ReportGeneration #TechInnovation #DataScience

Correctly formatting dates 📅 & numbers 🔢 is an essential part of many document workflows. Find a 4-minute demo below for formatting dates & numbers in Glide, one of DocsAutomator's most popular data integrations. https://lnkd.in/e4ppTr7a

🤔 Did you know? You can return multiple values without creating a full class using Records in Dart 3.0! 🎉 This innovative feature allows you to group multiple values effortlessly. ✨ Why should you consider using Records? Simplify Your Functions: Easily return multiple values! Type Flexibility: Package different data types seamlessly. Improved Readability: Use named fields for clarity in your code. Try it out 👇 :

For academics gearing up for the return to school and business or science types, here's a link to my YouTube video on how to manage numbers with leading zeros in Excel. Long a trouble spot in Excel, recent updates have made it easier to avoid data entry and import errors. https://lnkd.in/g9_5a-ms I've released 44 videos so far on topics as far ranging as color management in Excel to implementing Markov Chains in a spreadsheet. Look for more movies from me and, if you find them useful, tell your friends and colleagues!

When working with floating-point numbers in tests, comparing exact equality often fails due to inherent precision limitations. pytest.approx() compares floating-point numbers with a reasonable tolerance, making tests more robust. 📘 Full code: https://bit.ly/48RIQgh -- Subscribe to my weekly newsletter to get a PDF guide to 100+ data science tools (264 pages): https://bit.ly/3Chy072