Angelica Lo Duca

Italy

Writer at Freelance

#Researcher #DataScience #Web #WebApplications #ML #NLP #blogger #writer #Python

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Articles

Three Books You Should Read to Improve Your AI Knowledge

1 month ago | medium.datadriveninvestor.com | Angelica Lo Duca

Books, Artificial IntelligenceThree resources to learn more about Retrieval Augmented Generation (RAG), LangChain, and Multi-Agent systemsLately, AI-related concepts such as RAG and multi-agent have been all the rage. Maybe we all know these words a little, but then we don’t fully understand how to implement and use these systems in practice. Personally, I see a lot of posts and links to exciting resources on social media, but they focus on a single aspect at a time.
Introducing PyNarrative: A Python Library for Data Storytelling

1 month ago | medium.datadriveninvestor.com | Angelica Lo Duca

Data Storytelling, PythonAn overview of the new Python library for data storytelling. Data visualization is crucial for understanding complex datasets, but visualizations alone are insufficient to make audiences understand the message in the data. Data storytelling addresses this by integrating narratives with visual elements, making insights more memorable and actionable (Lo Duca, 2025).
The Human Element: Using Research And Psychology To Elevate Data Storytelling — Smashing Magazine

1 month ago | smashingmagazine.com | Victor Yocco |Angelica Lo Duca

23 min readUX,Design,StorytellingShare on Twitter, LinkedInEffective data storytelling isn’t a black box. By integrating UX research & psychology, you can craft more impactful and persuasive narratives. Victor Yocco and Angelica Lo Duca outline a five-step framework that provides a roadmap for creating data stories that resonate with audiences on both a cognitive and emotional level.
Two Books You Should Read to Change Your Mindset

Sep 27, 2024 | medium.datadriveninvestor.com | Angelica Lo Duca

Books, Data AnalysisA reflection on Chart Spark by Ally Torban, and Making Numbers Count by Chip Heath & Carla Starr. When you choose a book to read, choose it well. Life is too short to read bad books. If a book doesn’t give you anything, leave it alone and pick up another. Maybe that book will be ideal for someone else but not for you. Today I want to suggest two books I read with pleasure and have broadened my horizons.
Four Ways to Credit a Source in a Chart

Sep 23, 2024 | towardsdatascience.com | Angelica Lo Duca

Data Visualization, Data StorytellingA practical tutorial on where you should place credits in your next data visualizationWhen you build a chart with data that is not ours, you must cite the source from which you took the data. This serves to do justice to the work done by others and increase your credibility towards those who will look at the graph. If you cite the data source, your chart will surely be more authoritative because it is based on verifiable data.
Data Storytelling with Altair and AI

Sep 3, 2024 | manning.com | Angelica Lo Duca

Look inside The Art of Data Storytelling Source code Book forum Source code on GitHub The Art of Data Storytelling Register your pBook for a free eBook more This book 1° 2° 3° access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks! choose one free eBook per month to keep exclusive 50% discount on all purchases access to all Manning books, including MEAPs! 5, 10 or 20 seats+ for your team - ePub + liveBook available Sep 16, 2024 Look inside Great data presentations tell a...
Four Ways to Explain Insights Extracted from Data

Jul 29, 2024 | towardsdatascience.com | Angelica Lo Duca

Data Analytics, Data ScienceA tutorial on connections, coincidences, curiosity, and contradictions as strategies to explain insights from data. Explaining why something happens in your data is not easy. You may even find something exceptional in your data, but after your discovery, you must explain why this event occurred. In this article, I’ll show four possible strategies to explain your insights.
Meet the Author of Effective Data Analysis: Mona Khalil

Jul 28, 2024 | medium.com | Angelica Lo Duca

Books, Data Analysis Today I have the pleasure of interviewing Mona Khalil, author of the book Effective Data Analysis by Manning Publications. As always, before getting to the heart of the interview, I'll reveal some behind-the-scenes secrets. Browsing the book catalog on the Manning website (which is always full of new proposals), I found Mona's fascinating book. As soon as I started reading it, I found everything I was looking for about data analysis.
The Future of Finance with ChatGPT and Power BI

Jul 9, 2024 | medium.com | Angelica Lo Duca

Finance, Generative AI Lately, I have seen various guides, books, courses, and more or less detailed articles circulating on the web on how to use Generative Artificial Intelligence and, in particular, ChatGPT to carry out various tasks. I am also working on integrating GenAI into data storytelling. However, I never thought that GenAI could be applied to the finance sector, given that it is a very delicate area requiring a lot of attention.
Effective Data Analysis by Mona Khalil

Jun 10, 2024 | medium.com | Angelica Lo Duca

Books, Data Analysis This book must be read. If you are an aspiring data analyst or are looking for a reference manual, this book absolutely cannot be missing from your shelf. Personally, I didn't think that much of the theory of data analysis could be concentrated in one book. Yet, in the book Effective Data Analysis, Mona Khalil manages to condense and brilliantly describe what it takes to embark on the data analyst's journey.