interactive charts
interactive charts on Beyond Market Intelligence: a running collection of 39 stories we have gathered and hand-picked because they are worth your time. Every post here touches on interactive charts in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around interactive charts, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
When product managers ship code: AI just broke the software org chart
Last week marked a pivotal shift in our software development approach when a product manager built and shipped a feature in just one day, bypassing traditional processes. Our designer similarly addressed a UI issue directly, demonstrating how the cost of implementation has plummeted with AI integration. As engineering capacity is no longer the bottleneck, decision-making velocity has become critical.
60 SQL Interview Questions From Beginner to Advanced (2026)
Preparing for SQL interview questions is a smart move for any aspiring data professional. Given that SQL is required in 90% of data analyst job postings, mastering this skill can significantly enhance your employability. This guide features 60 carefully curated SQL interview questions, ranging from beginner to advanced levels, to help you build confidence and expertise. Whether you’re just starting your journey or looking to refine your knowledge, these questions will equip you with the insights needed to excel in your next interview.
Project Tutorial: Predicting Tech Salaries with Machine Learning Using the 2023 Stack Overflow Developer Survey (Part 2 of 2)
In Part 2 of our tutorial series on predicting tech salaries with machine learning, we build upon the clean, fully numeric dataset created from the 2023 Stack Overflow Developer Survey. With 75 features and nearly 15,000 rows, we are well-equipped to dive into model development. This segment will guide you through selecting the right algorithms, evaluating performance, and refining predictions. Join us as we transform data insights into actionable salary forecasts, empowering you to navigate the evolving tech landscape with confidence.
![[R] Evaluating MLLMs with Child-Inspired Cognitive Tasks](https://preview.redd.it/1nqk9ifinzqg1.png?width=140&height=127&auto=webp&s=27da46fcf32c12b061a6aada4f4dafa38376376c)
[R] Evaluating MLLMs with Child-Inspired Cognitive Tasks
Introducing KidGym, an innovative 2D grid-based benchmark designed to evaluate multimodal large language models (MLLMs) in continuous, interactive settings. Accepted at ICLR 2026, KidGym addresses the limitations of static benchmarks by organizing evaluations into five cognitive dimensions inspired by the Wechsler Intelligence Scale for Children. With 12 diverse tasks across three difficulty levels, KidGym emphasizes generalization and interaction, offering a community-friendly API for customization. Our findings reveal performance disparities in complex reasoning tasks, highlighting the need for a more nuanced approach to model evaluation.
Testing Font Scaling For Accessibility With Figma Variables
Testing font scaling for accessibility with Figma variables seamlessly integrates into everyday design workflows, making accessibility a natural part of the creative process. The objective is not to overhaul existing practices but to enhance them through simple, effective work processes that align with a team’s routine. By incorporating font size testing into the design flow, Figma empowers designers to prioritize accessibility effortlessly. This approach transforms accessibility from an optional consideration into an essential, inherent aspect of design, fostering a more inclusive environment for all users.
15 Power BI Project Ideas to Build Your Portfolio in 2026
Building a robust Power BI portfolio is essential for aspiring business or data analysts in 2026. Employers seek candidates who can transform messy data into clean models and create impactful dashboards that drive informed decision-making. This article presents 15 compelling Power BI project ideas that will not only showcase your technical prowess but also demonstrate your ability to derive actionable insights from data. These projects serve as tangible evidence of your skills, empowering you to stand out in a competitive job market.
30 Data Science Projects for Beginners to Advanced (with Source Code)
Building a strong data science portfolio is essential for showcasing your skills and standing out to potential employers. "30 Data Science Projects for Beginners to Advanced" provides an invaluable resource, offering a curated list of projects that span various skill levels. Each project includes source code, real datasets, and step-by-step instructions to guide you through completion.
Architecture for two separate projects: A Nationwide Template and an Automated 30+ Page Report
In today's data-driven landscape, designing scalable solutions is essential, especially for projects like a Nationwide Template and an Automated 30+ Page Report. To ensure reliability for non-technical users, selecting the right tool stack is crucial. For the Nationwide Template, consider the robustness of Power Query and VBA in a supportive environment, while evaluating Power Pivot/DAX for enhanced stability. For streamlined reporting, explore the industry standards for automating dynamic data transfers into formatted documents.
14 Machine Learning Projects for Beginners to Advanced (2026)
Embarking on a journey into machine learning can be both exciting and overwhelming. This article presents 14 carefully curated projects, organized by difficulty, that cater to everyone from beginners to advanced practitioners. Each project includes free datasets, starter code, time estimates, and valuable insights on how to enhance your work into a standout portfolio piece. By exploring these projects, you'll not only develop transferable skills but also create tangible results to impress hiring managers, empowering your career in this dynamic field.
![40+ Data Analyst Interview Questions and Answers for 2026 [Entry-Level Guide With Code]](https://www.dataquest.io/wp-content/uploads/2026/02/Data-Analyst-Interview-Timeline.png)
40+ Data Analyst Interview Questions and Answers for 2026 [Entry-Level Guide With Code]
Preparing for a Data Analyst interview can be daunting, especially when self-doubt creeps in: "Am I ready? What if I freeze?" This guide alleviates those concerns by providing over 40 essential interview questions and answers tailored for entry-level candidates. With a strong foundation in SQL, Python, and statistics, you can confidently navigate the interview landscape. Dive in to discover the insights and strategies that will empower you to showcase your skills and secure that coveted position in 2026. Let’s transform your anxiety into assurance.
Vector Database Practice Project: Building a Knowledge Base Search System
Are you ready to transform your understanding of vector databases into a practical solution? In this project, you'll leverage your skills in chunking documents, filtering with metadata, and combining semantic search with keyword matching to create a robust knowledge base search system from the ground up. By collecting and organizing your own data, you'll not only reinforce your learning but also build a valuable tool that enhances information retrieval.
The Data Engineering Roadmap for Beginners (2026)
Are you eager to dive into the world of data engineering but unsure where to start? The Data Engineering Roadmap for Beginners (2026) is designed to guide you through the essential skills you need to master, regardless of your background. Learn what to focus on first, how long each step takes, and why data engineering is crucial for every data-driven company. Discover the path that will empower you to transform raw data into actionable insights, fueling your career in this dynamic field.
Intent Prototyping: A Practical Guide To Building With Clarity (Part 2)
Are your static mockups stalling your design process? It's time for a transformation. In this second part of our guide to Intent Prototyping, we’ll explore how AI can elevate your design intent—from UI sketches to user flows—into dynamic, live prototypes. This disciplined approach not only fosters clarity but also serves as your primary canvas for ideation. Dive in to discover practical steps that empower you to innovate with confidence and streamline your design workflow. Let's unlock your creative potential together!
CSS Gamepad API Visual Debugging With CSS Layers
Debugging controllers can be frustrating, especially when you're relying on legacy tools that don’t quite fit the bill. Fortunately, the CSS Gamepad API offers a transformative approach to visual debugging. In this guide, we'll explore how CSS layers can streamline your debugging process and help you create a reusable visual debugger for your projects. Get ready to simplify your workflow and enhance your game development experience with practical insights that will empower you to tackle controller issues like a pro.
Beyond The Black Box: Practical XAI For UX Practitioners
In the evolving landscape of AI, explainable AI (XAI) is more than a data science concern—it's a critical design challenge that shapes user trust and product effectiveness. Victor Yocco’s insights provide practical guidance and design patterns to seamlessly integrate explainability into your AI products. By embracing XAI, UX practitioners can enhance user experiences and drive adoption. Dive in to discover tangible strategies that empower you to create transparent, trustworthy AI solutions that resonate with users and elevate your designs.