Behavioral science is revolutionizing how businesses connect with customers and influence decisions. By understanding the psychological principles that drive human behavior, companies can create more effective marketing strategies and product experiences. But how can you apply these insights in your data-driven work? What simple changes could dramatically improve how your audience responds to your messaging? The difference between abstract and concrete language can quadruple memorability, and timing your communications around 'fresh start' moments can increase receptivity by over 50%. Whether you're designing user experiences or communicating insights, understanding these hidden patterns of human behavior could be your competitive advantage. Richard Shotton is the founder of Astroten, a consultancy that applies behavioral science to marketing, helping brands of all sizes solve business challenges with insights from psychology. As a keynote speaker, he is known for exploring consumer psychology, the impact of behavioral experiments, and how biases shape decision-making. He began his career in media planning over 20 years ago, working on accounts such as Coca-Cola, Lexus, Halifax, Peugeot, and comparethemarket. He has since held senior roles including Head of Insight at ZenithOptimedia and Head of Behavioral Science at Manning Gottlieb, while also conducting experiments featured in publications such as Marketing Week, The Drum, Campaign, Admap, and Mediatel. Richard is the author of two acclaimed books: The Choice Factory (2018), which was named Best Sales & Marketing Book at the 2019 Business Book Awards and voted #1 in the BBH World Cup of Advertising Books; and The Illusion of Choice (2023), which highlights the most important psychological biases business leaders can harness for competitive advantage. In the episode, the two Richards explore the power of behavioral science in marketing, the impact of visual language, the role of social proof, the importance of simplicity in communication, how biases influence decision-making, the fresh start effect, the ethical considerations of using behavioral insights, and much more. Links Mentioned in the Show: Richard’s Book—Hacking the Human Mind: The behavioral science secrets behind 17 of the world's best brandsAstrotenBlog: To create strong memories, use concrete languageConnect with RichardCourse: Marketing Analytics for BusinessRelated Episode: Career Skills for Data Professionals with Wes Kao, Co-Founder of MavenRewatch RADAR AI  New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

Join Richard as he shares how Runna transformed its data capabilities by harnessing the power of Snowflake and AWS. This session will explore the key challenges the team faced, how they overcame them, and the practical steps they took to build a scalable, future-ready data platform. Richard will walk through what’s been achieved so far, the lessons learned along the way, and how Runna is now able to unlock complex business insights faster and more efficiently than ever before. You'll also get a sneak peek into what’s next as they continue to evolve their data strategy to support rapid growth and innovation.

Bryan McCann, You.com’s co-founder and CTO, shares his journey from studying philosophy and meaning to the Stanford Computer Science Department working on groundbreaking AI research alongside Richard Socher. Right now, AI is reshaping everything we hold dear — our jobs, creativity, and identities. It’s also our greatest source of inspiration. The Age of AI is simultaneously a Renaissance, Enlightenment, Industrial Revolution and likely source of humanity’s greatest existential crisis. To surmount this, Bryan will discuss how he uses AI responses as new starting points rather than answers, building teams like neural networks optimized for learning and how the answer to our meaning crisis may be for humans to be more like AI. Exploring AI’s impact on politics, economics, healthcare, education and culture, Bryan asserts that we must all take part in authoring humanity’s new story — AI can inspire us to become something new, rather than merely replace what we are now.

Create LLM-powered autonomous agents and intelligent assistants tailored to your business and personal needs. From script-free customer service chatbots to fully independent agents operating seamlessly in the background, AI-powered assistants represent a breakthrough in machine intelligence. In AI Agents in Action, you'll master a proven framework for developing practical agents that handle real-world business and personal tasks. Author Micheal Lanham combines cutting-edge academic research with hands-on experience to help you: Understand and implement AI agent behavior patterns Design and deploy production-ready intelligent agents Leverage the OpenAI Assistants API and complementary tools Implement robust knowledge management and memory systems Create self-improving agents with feedback loops Orchestrate collaborative multi-agent systems Enhance agents with speech and vision capabilities You won't find toy examples or fragile assistants that require constant supervision. AI Agents in Action teaches you to build trustworthy AI capable of handling high-stakes negotiations. You'll master prompt engineering to create agents with distinct personas and profiles, and develop multi-agent collaborations that thrive in unpredictable environments. Beyond just learning a new technology, you'll discover a transformative approach to problem-solving. About the Technology Most production AI systems require many orchestrated interactions between the user, AI models, and a wide variety of data sources. AI agents capture and organize these interactions into autonomous components that can process information, make decisions, and learn from interactions behind the scenes. This book will show you how to create AI agents and connect them together into powerful multi-agent systems. About the Book In AI Agents in Action, you’ll learn how to build production-ready assistants, multi-agent systems, and behavioral agents. You’ll master the essential parts of an agent, including retrieval-augmented knowledge and memory, while you create multi-agent applications that can use software tools, plan tasks autonomously, and learn from experience. As you explore the many interesting examples, you’ll work with state-of-the-art tools like OpenAI Assistants API, GPT Nexus, LangChain, Prompt Flow, AutoGen, and CrewAI. What's Inside Knowledge management and memory systems Feedback loops for continuous agent learning Collaborative multi-agent systems Speech and computer vision About the Reader For intermediate Python programmers. About the Author Micheal Lanham is a software and technology innovator with over 20 years of industry experience. He has authored books on deep learning, including Manning’s Evolutionary Deep Learning. Quotes This is about to become the hottest area of applied AI. Get a head start with this book! - Richard Davies, author of Prompt Engineering in Practice Couldn’t put this book down! It’s so comprehensive and clear that I felt like I was learning from a master teacher. - Radhika Kanubaddhi, Amazon An enlightening journey! This book transformed my questions into answers. - Jose San Leandro, ACM-SL Expertly guides through creating agent profiles, using tools, memory, planning, and multi-agent systems. Couldn’t be more timely! - Grigory Sapunov author of JAX in Action

Richard He, Founder at Fundamenta – Data Consultancy, former Engineering Director at Virgin Media O2  and creator of Practical GCP YouTube channel, joined Yuliia to discuss the critical concept of "cost of inaction" in data infrastructure modernization. Based on his two decades of experience, including several successful migrations, Richard emphasized the importance of proactive platform evolution over reactive large-scale migrations. He shared valuable insights on measuring ROI for platform teams, and bridging the gap between technical execution and business strategy. Richard's Linkedin - https://www.linkedin.com/in/shenghuahe/

We're pleased to present Yotam Bentov on Error Detecting and Error Correcting Codes (Read the paper)

Bell Labs in the late 40s and 50s was the cradle in which modern computing was conceived. From the invention of the transistor to the conception of information theory, the intellectual environment of Bell Labs was critical in creating our present-day technological world.

Richard W. Hamming was steeped in this atmosphere when he came up with a still-used technique to for detecting and correcting errors in transmitted data. The paper introduces a technique for identifying the location of an error inside a transmitted "code word." The paper then proves that this technique yields the "most efficient" possible coding scheme.

We will use this paper as both a departure point for understanding error correction and detection as well as the environment in which Hamming was working. We will close by ruminating on what the state of computing in 1950 can tell us about the future of computing more broadly.

Yotam Bentov is an engineering manager for Tulip's Platform team, where he works on distributed systems, databases, and product type systems. He gets particularly excited about the history of computing, home-cooking, and bicycles.

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⚠️ Required: You must have your real name on your account and provide a photo ID at the entrance to attend, per the venue rules. If you are not on the list, you will not be admitted.

🚔 Reminder: Papers We Love has a code of conduct. Breaching the CoC is grounds to be ejected from the meetup at the organizers' discretion.

📹 The event will be recorded and made available 1-2 weeks afterwards.

💬 Join us on the Papers We Love Discord - https://discord.gg/6gupsBg4qp

Venue:

Datadog 620 8th Ave, 45th Floor New York, NY 10018 USA Doors open at 6:30pm EST Note: Enter the building on 8th Avenue and go to the reception desk on your left

⚠️ Required: You must have your real name on your Meetup account and provide a photo ID at the entrance to attend, per the venue rules. If you are not on the list, you will not be admitted.

Join Jason Foster for an insightful discussion with Richard H Harris MBE, a technology M&A expert and Senior Vice President M&A at Corum Group. In this podcast, Richard shares his experiences and insights on the impact of AI on mergers and acquisitions (M&A). With a background in theoretical physics, experience with data, and a passion for advancing technology, Richard brings a unique perspective to the table. Tune in now and discover how Richard navigated the challenges of integrating AI into traditional M&A processes and the strategies he used to drive successful outcomes.

Cynozure is a leading data, analytics and AI company that helps organisations to reach their data potential. They work with clients on data and AI strategy, data management, data architecture and engineering, analytics and AI, data culture and literacy, and change management and leadership. The company was named one of The Sunday Times' fastest-growing private companies in 2022 and 2023 and named the Best Place to Work in Data by DataIQ in 2023. For more information, visit www.cynozure.com.Check out our free AI Scorecard and we'll send you a personalised report that outlines what's needed to drive innovation to your business and be competitive.

Join us at the Generator Hub to enjoy three talks from our brilliant speakers after pizza, drinks, and a chance to get to know the other guests. We then move on to the Topsham Brewery for a chance to socialise a bit more. We look forward to welcoming familiar faces and, hopefully, many new ones.

PyData Exeter is popular, so if your plans change, please cancel your attendance on Meetup in good time to free up your space for other community members!

Agenda:

• 18:30 Doors open (ring reception)
• 19:15 Talks start
• 20:30 Moving on to Topsham Brewery

If you are interested in presenting at future events we'd love to hear from you! Please get in touch via our PyData Exeter talk proposal form.

Also, if you have any announcements for the community, please share them.

Talks:

• Modern Data Platforms - Andy Keel
• Embedding Domain-Specific Knowledge through Reward Shaping in Reinforcement Learning in Football - Vignesh Mohanarajan
• Python & Ladders: An Introduction to Monte Carlo Modelling - Richard Warburton

Modern Data Platforms As we all know, data is valuable. However as organisations have become aware of this, and collected more data, they face the challenge of effectively using it. As data volumes have grown and AI use-cases demand accurate and timely information, new technologies are evolving to enable organisations to use data to it's maximum effect. In this talk we'll look at the concepts of data warehouses, lakes and lakehouses to understand the fundamental data architecture used by leading organisations.

Embedding Domain-Specific Knowledge through Reward Shaping in Reinforcement Learning in Football Reinforcement learning is a field of machine learning research that has seen consid- erable growth in the last few years. Reinforcement learning is the process of having an AI-driven system learn through trial and error using feedback from its actions. This feedback is determined by a reward function that is relevant to the environment the system is navigating. However, in certain environments, the feedback can be infrequent leading to a lack of information from which the system can learn. This project proposes a novel reward shaping method by embedding domain-specific information in the form of advanced real-world football metrics in the reward function to solve the aforementioned challenge. This is demonstrated in the Google Research Football environment.

Python & Ladders: An Introduction to Monte Carlo Modelling Monte Carlo modelling is a computational technique used in various fields, including finance, engineering, physics, and statistics, to simulate and analyse complex systems or processes. It works by generating random samples or simulations of the system's inputs, often following specified probability distributions, and then approximating the systems behaviour by collating results over numerous samples. With its origins in the Manhattan Project, the method is named after the famous Monte Carlo Casino in Monaco, reflecting the element of chance inherent in the technique. This talk introduces Monte Carlo modelling through the random game of Snakes & Ladders and simple Python code, before exploring real-life applications.

Speakers: Andy Keel: Andy works as an Associate Principal at Kubrick Group, where he enables large organisations to leverage their datasets and helps graduates learn the skills necessary for a career in data.

Vignesh Mohanarajan: Vignesh is a BSc Computer Science student at the University of Exeter. He is extremely passionate about using data science in sports.

Richard Warburton: Richard is a data analyst and data scientist specialising in helping non-technical people understand complex data and analysis. Currently, Richard is contracting with the London Stock Exchange Group and helping them analyse and visualise their contractual data and relationships with suppliers. He also has a sideline in communication training (Vocate) where he trains in public speaking, data literacy, analysis and other essential skills.

Sponsors: NumFOCUS, digiLab, University of Exeter

CODE OF CONDUCT The PyData Code of Conduct governs this meetup (https://pydata.org/code-of-conduct/). To discuss any issues or concerns relating to the code of conduct or behaviour of anyone at the PyData meetup, please contact the PyData Exeter organisers, or you can submit a report of any potential Code of Conduct violation directly to NumFOCUS (https://numfocus.typeform.com/to/ynjGdT).

Ready to embrace the adventure of starting a new business? Embarking on a Journey with a Tech Startup: The Good, the Bad, and the Ugly Join the guest and our host. 🚀💼 Discover the real stories, challenges, and triumphs of working in the dynamic world of tech startups. Join the conversation as we navigate the highs, lows, and everything in between. Comment below with your thoughts and experiences! 👩‍💻👨‍💻

WHAT WILL YOU LEARN? • Entrepreneurship mindset • Challenges and opportunities that comes with in the start-up world from limited resources to creating solutions.

ABOUT THE SPECIAL GUEST: Richard Macwoods is a Startup Expert, Founder at Twiddle, Co-Founder at Medicon PH Services and MD at Massatorn Capital. He runs a Startup Consulting. He is a Operations manager for Learntor and also a speaker Software developer. Richard is enthusiast about Data Analytics, Machine Learning, Scrum Methodologies and Design thinking.

Connect with Learntor: https://bit.ly/LEARNTORQR

Tech #Techmindset #Techconversations

💻📝🎟️ IMPORTANT: To secure your spot, registration is mandatory. Please register for the event at the Big Data LDN website: https://bigdataldn.com/register.

Join us for a special event at Big Data LDN as we delve into the fascinating world of Fast Data and Apache Kafka. This meetup will focus on the critical role Kafka plays in enabling real-time data movement and how we move between slow and fast data systems.

🌐 Our expert speakers will take the stage to discuss the challenges and solutions associated with real-time data processing. Discover how businesses are transitioning from traditional batch data processing to harnessing the power of real-time insights for better decision-making and agility.

Date and Time: 🗓️ September 20th, ⏰ 6:00 PM - 9:00 PM 🕘

Venue: 🏟️ Fast Data Theatre, Big Data LDN, Olympia, Olympia Way, London W14 8UX

Event Theme: 🌐 Exploring Fast Data with Kafka - Moving from Batch to Real-Time

Attending Brands: OSO, Quix, Aerospike

Networking: Pizza + Beer at the end

Schedule: 18:00 - 18:15 Registration 18:15 - 18:20 Kick-off - Richard 18:20 - 19:00 Talk 1: Quix (including Q&A - hosted by OSO) 19:00 - 19:15 Break 19:15 - 19:45 Talk 2: Aerospike (including Q&A - hosted by OSO) 19:45 - 20:30 Networking (Pizza & Beer)

🎙️ \~Talk 1\~ Talk Title: Dr. Streamlove, or: How I Learned to Stop Batching and Love the Stream

Summary: The suggestion of adopting streaming technologies usually receives undue resistance in organisations. In the past, there was a high barrier to entry for technologies such as Apache Kafka. Today a modern application team can use their preferred programming language with a variety of managed platforms and open source libraries, such as Quix. Join us as we show you how to approach streaming adoption with a modern mindset.

Key talk takeaways:

• Introduction to batch and stream concepts.
• Batch mindset vs stream mindset.
• Common reasons for resisting the adoption of streaming technologies.
• Recognising the signs that moving to streaming will be beneficial.
• How to take the first steps in adopting streaming technologies.

🗣️ Speaker: Tun Shwe - VP of Data at Quix

Tun is focused on helping companies imagine and execute their strategic data vision with stream processing at the forefront. He was previously a Head of Data and Data Engineer at high growth startups and has spent his career building and leading T-shaped teams in developing analytics platforms and data-intensive AI applications.

🎙️ \~Talk 2\~ Talk Title: Unlocking the Power: Design Patterns in Streaming-Enabled Database Technologies

Summary: In the realm of Data-Intensive applications, Data Streaming and Data Persistence are indispensable pillars. Streaming-enabled databases, such as Aerospike, offer reusable solutions to tackle the common integration challenges that often arise between Databases, Streaming Technologies, and Microservices. Join us in this presentation as we delve deep into these design patterns.

Key talk takeaways:

• Understanding the concept of design patterns.
• Insight into Streaming-enabled databases.
• Recognizing typical integration issues between Data Streaming and Data Persistence technologies.
• Multiple design patterns to solve these common integration problems.

🗣️ Speaker: Behrad Babaee - Technology Evangelist at Aerospike

Behrad possesses expertise in building high-performance, low-latency, and hyper-scale data-intensive solutions. With a remarkable track record, he has architected and implemented solutions for prestigious financial institutions, multimedia conglomerates, and telecommunication behemoths, all of which have consistently maintained operational excellence over prolonged periods.

🎤🎤🎤 Apart from insightful talks, the event will include ample time for Q&A sessions, providing you with the opportunity to interact with the speakers and gain deeper insights into the topics discussed. Additionally, take advantage of the networking session to connect with like-minded data enthusiasts, industry professionals, and Kafka aficionados. 🤝🌐🚀

Don't miss out on this exciting event! All data enthusiasts interested in Apache Kafka are welcome to attend. 📈📊📚

Registration Information:

To secure your spot, registration is mandatory. Please register for the event at the Big Data LDN website: https://bigdataldn.com/register. Please note that attendees who have not registered through this link will not be accepted, so ensure you complete the registration process to reserve your place. 💻📝🎟️

Join us at the Big Data LDN X Kafka Meetup London Special Event and immerse yourself in the exciting world of Fast Data and Kafka-powered real-time data processing. We look forward to seeing you there! 🚀🎉🌐

REGISTRATION ON EVENTBRITE OBLIGATORY https://www.eventbrite.fr/e/crypto-mondays-24-july-tickets-681472511627?aff=oddtdtcreator 
DESCRIPTION 
CryptoMondays Paris is the French hub of CryptoMondays, a decentralized initiative launched in 2018 by Lou Kerner in New York. Today, CryptoMondays gathers thousands of crypto-enthousiasts in more than 30 cities globally. 
CryptoMondays Paris exclusively gathers active participants to the development of the crypto-asset ecosystem: entrepreneurs, investors, developers, corporates, law firms, journalists, policymakers, etc. 
On the agenda that day :

Speaker: Richard Hickling is a financial technologist with decades in front office trading across a number of asset classes.

Morgan Stanley, BNP Paribas, Barclays, Euronext and Bank of America are some of the institutions he's worked with.

As co-founder of ProfitView he brings this experience to crypto trading.

He will show how practical trading algorithms can be built - astoundingly quickly and safely.

He'll give a quick demo - do some live trading - then ask the audience for ideas. Let's get interactive!

Tickets are free !
To ensure we all have a good time, we will have to refuse those who are not registered or who do not comply with this rule.
 Registration link https://www.eventbrite.fr/e/crypto-mondays-24-july-tickets-681472511627?aff=oddtdtcreator

In this episode, Conor and Bryce continue their interview with Sean Parent live from C++ On Sea 2023 about the Val programming language! Link to Episode 138 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)Twitter ADSP: The PodcastConor HoekstraBryce Adelstein LelbachAbout the Guest: Sean Parent is a senior principal scientist and software architect managing Adobe’s Software Technology Lab. Sean first joined Adobe in 1993 working on Photoshop and is one of the creators of Photoshop Mobile, Lightroom Mobile, and Lightroom Web. In 2009 Sean spent a year at Google working on Chrome OS before returning to Adobe. From 1988 through 1993 Sean worked at Apple, where he was part of the system software team that developed the technologies allowing Apple’s successful transition to PowerPC.

How To Get Involved With Val DM Sean on TwitterVal Lang on GitHubVal Teams MeetingClick here to join the meetingMeeting ID: 298 158 296 273Passcode: D2beKFWhen: Tues/Thurs 12:30-1:00 PSTVal SlackShow Notes Date Recorded: 2023-06-29 Date Released: 2023-07-14 ADSP Episode 137: Sean Parent on Val (vs Rust)!C++ On Sea ConferenceAll Sean Parent ADSP EpisodesAdobe Software Technology LabConor Hoekstra - Concepts vs Typeclasses vs Traits vs Protocols - Meeting C++ 2020Programming Languages Virtual MeetupThe Val Programming LanguageThe Rust Programming LanguageThe Swift Programming LanguageHalide LanguageADSP Dave Abrahams EpisodesCircle CompilerJakt Programming LanguageCppCast Episode 355 - Carbon, with Richard SmithC++ on Sea 2023: Keynote: All the Safeties - Sean ParentRust iterx libraryThe Carbon Programming LanguageIntro Song Info Miss You by Sarah Jansen https://soundcloud.com/sarahjansenmusic Creative Commons — Attribution 3.0 Unported — CC BY 3.0 Free Download / Stream: http://bit.ly/l-miss-you Music promoted by Audio Library https://youtu.be/iYYxnasvfx8

Ofcom is the government-approved regulatory and competition authority for the broadcasting, telecommunications and postal industries of the United Kingdom. It plays a vital role in ensuring TV, radio and telecoms work as they should. With vast swathes of information from a wide range of sources, data plays a huge role in the way Ofcom operates - in this episode, we learn the key drivers of Ofcom’s data strategy.  Richard Davis is the Chief Data Officer at Ofcom, responsible for enabling data and analytics capabilities across the organisation. Prior to Ofcom, Richard worked as a Quantitative Analyst as well as being the former Head of Analytics and Innovation at LLoyds Bank, proving he has a wealth of experience across a variety of data roles.  After joining Ofcom in 2022, Richard describes his experience of joining Ofcom, his ambition to bring in new processes, and how he leverages the community of data professionals. Richard also shares his advice for a new data leader, which includes understanding the pain points of the team, making insights more efficient, and keeping data teams aligned with the business's needs. He also elaborates on the key components of the data strategy at Ofcom, including aligning to good data, good people, and good decisions.

Also discussed is the importance of cultural change in an organization and how to upskill data experts and train non-data specialists in data literacy, the difference between technical experts and people managers, and how organizations can enable people to grow to become technical leaders. Finally, Richard emphasizes the importance of evidence-based regulation, and how data literacy supports effective output. Richard provides excellent insight into the world of regulatory data, the challenges faced by Ofcom, and the solutions they can implement to overcome them.

In this podcast, Igor Volovich(@CyberIgor) talks about the strategic side of cybersecurity. He shared some practices that businesses could adopt to keep their infrastructure safe. Igor sheds some light on some easy ways to measure security for your business and understand the leadership commitment needed to establish a security mindset. Igor also shares the need for metric lead strategies to quantify the outcome. This podcast is great for future information security leaders to understand data science and metrics led cybersecurity strategy.

Timeline: 0:29 Igor's journey. 10:37 Recognizing innovation in small companies. 16:30 Aligning with an incubator. 25:16 Creating robust risk metric. 39:29 Right way of thinking about cybersecurity. 50:42 Can a company be offensive about security. 57:43 Igor's favorite read. 59:17 Igor's upcoming book.

Igor's Recommended Read: How to Measure Anything in Cybersecurity Risk by Douglas W. Hubbard, Richard Seiersen http://amzn.to/2BOoK6D

Podcast Link: https://futureofdata.org/563505-2/

Igor's BIO: Strategist, advisor, advocate, mentor, author, speaker, and cyber leader. Passionate about the craft of cybersecurity and its role in protecting the computing public, the integrity of global commerce and international trade, and defense of critical national infrastructure.

Internationally experienced cybersecurity executive and senior advisor with 20 years of service to the world's largest private and public-sector entities, Fortune 100's, US legislative and executive branches, and regulatory agencies

About #Podcast:

FutureOfData podcast is a conversation starter to bring leaders, influencers, and lead practitioners to discuss their journey to create the data-driven future.

Wanna Join? If you or any you know wants to join in, Register your interest @ http://play.analyticsweek.com/guest/

Want to sponsor? Email us @ [email protected]

Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

A clear easy-to-read guide to presenting your message using statistical data Poor presentation of data is everywhere; basic principles are forgotten or ignored. As a result, audiences are presented with confusing tables and charts that do not make immediate sense. This book is intended to be read by all who present data in any form. The author, a chartered statistician who has run many courses on the subject of data presentation, presents numerous examples alongside an explanation of how improvements can be made and basic principles to adopt. He advocates following four key 'C' words in all messages: Clear, Concise, Correct and Consistent. Following the principles in the book will lead to clearer, simpler and easier to understand messages which can then be assimilated faster. Anyone from student to researcher, journalist to policy adviser, charity worker to government statistician, will benefit from reading this book. More importantly, it will also benefit the recipients of the presented data. 'Ed Swires-Hennessy, a recognised expert in the presentation of statistics, explains and clearly describes a set of "principles" of clear and objective statistical communication. This book should be required reading for all those who present statistics.' Richard Laux, UK Statistics Authority 'I think this is a fantastic book and hope everyone who presents data or statistics makes time to read it first.' David Marder, Chief Media Adviser, Office for National Statistics, UK 'Ed's book makes his tried-and-tested material widely available to anyone concerned with understanding and presenting data. It is full of interesting insights, is highly practical and packed with sensible suggestions and nice ideas that you immediately want to try out.' Dr Shirley Coleman, Principal Statistician, Industrial Statistics Research Unit, School of Mathematics and Statistics, Newcastle University, UK