data cleaning solutions
data cleaning solutions on Beyond Market Intelligence: a running collection of 52 stories we have gathered and hand-picked because they are worth your time. Every post here touches on data cleaning solutions 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 data cleaning solutions, 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.
What AI model should you use for revenue intelligence? Von says all the big ones, and it will automate mixing and matching for you
In the evolving landscape of revenue intelligence, Von emerges as a transformative AI platform designed to unify fragmented sales data and enhance decision-making for Go-To-Market teams. Unlike traditional AI solutions, Von builds a comprehensive context graph that integrates structured and unstructured data, empowering users with actionable insights. By leveraging a mixture of models, Von addresses common challenges in sales operations, automating tasks and providing deep analytical capabilities.
Get more from Power Query in Excel with these little-known capabilities
Unlock the full potential of Power Query in Excel with these often-overlooked features. If you’re already using Excel or Power BI, you know that Power Query is essential for gathering, cleaning, and preparing data for analysis. However, it offers much more than basic functionality. By exploring its lesser-known capabilities, you can create more flexible, scalable, and maintainable solutions that enhance your data management experience. Dive in to discover how to transform your workflow and elevate your data analysis game.
What I learned analysing Kaggle Deep Past Challenge
In exploring Kaggle's Deep Past Challenge, I discovered that it was less about translating Old Assyrian transliterations into English and more about data construction and cleaning. The challenge featured a limited training set and inconsistencies between training and test data formats. Top teams excelled by reconstructing sentence pairs from messy historical texts, utilizing innovative data strategies, and focusing on extraction quality over complex models. Ultimately, this experience reinforced the idea that effective data management often outweighs sophisticated modeling techniques in achieving success.
Senior level DS at FAANG - what coding interviews to expect
Transitioning from a mid-level to a senior data scientist role at a FAANG company presents unique challenges, particularly in coding proficiency. Expect a rigorous interview process that assesses your technical skills in data manipulation and coding. While a strong grasp of statistics and case studies is vital, refreshing your coding skills is equally important. Prepare for medium-level LeetCode problems and ensure you can articulate your thought process clearly, using pseudocode when necessary.
Karpathy shares 'LLM Knowledge Base' architecture that bypasses RAG with an evolving markdown library maintained by AI
Andrej Karpathy, a pivotal figure in AI, introduces his innovative "LLM Knowledge Base" architecture, which sidesteps traditional Retrieval-Augmented Generation (RAG) methods. By leveraging a Markdown library maintained by AI, he addresses the common frustration of context-limit resets in AI development. This approach transforms raw data into a dynamic, self-updating knowledge repository, where the LLM acts as an active research librarian.
Project Tutorial: Predicting Indian IPO Listing Gains with TensorFlow
In the dynamic world of initial public offerings (IPOs), predicting listing gains is crucial for investment firms managing multiple listings annually. Speculation abounds as companies set their initial prices, but the market's verdict on listing day can significantly impact capital allocation. This project tutorial explores how to leverage TensorFlow to forecast IPO performance, turning uncertainty into informed decision-making. By harnessing advanced machine learning techniques, you can enhance your investment strategies, minimize costly miscalculations, and fully capitalize on market opportunities.
Data Cleaning Across Postgres, Duckdb, and PySpark
If you're navigating data cleaning across Postgres, DuckDB, and PySpark, you've likely faced the challenge of rewriting the same logic multiple times. Our framework simplifies this process by allowing you to pull essential cleaning primitives into your own codebase, avoiding dependency issues. It seamlessly compiles Databricks-style syntax to work across all three engines, ensuring consistency in handling messy strings, datetimes, and phone numbers.
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.
40+ Python Interview Questions and Answers for Data Roles (2026)
Prepare to elevate your data role interviews with our comprehensive guide featuring over 40 Python interview questions and answers tailored specifically for data positions. Each question comes complete with a practical code example, a clear explanation of the underlying concept, and insights into what interviewers are truly assessing. Organized by role, this resource helps you concentrate your study efforts where they will be most impactful. With Python's prominence in data science and analytics, mastering these questions will empower you to showcase your skills confidently.
[P] Open-source ML homeworks with auto-tests - fundamental algorithms from first principles
Introducing a set of open-source machine learning homework assignments designed to enhance understanding of fundamental algorithms from first principles. Developed for an ML course at Skoltech, these assignments aim to bridge the gap between theory and practice by guiding students through step-by-step problem solving. Each task includes automated testing for immediate feedback, allowing learners to refine their skills while minimizing the grading burden on instructors.
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.
Dropdowns Inside Scrollable Containers: Why They Break And How To Fix Them Properly
Dropdown menus are essential for streamlined user interactions, yet they can encounter issues when placed inside scrollable containers. Often, these dropdowns become clipped, causing critical options to disappear behind the panel's edge. In this insightful piece, Godstime Aburu delves into the reasons behind this problem and provides practical, actionable solutions to ensure dropdowns function seamlessly within scrollable environments. By understanding the mechanics at play, you can enhance user experience and maintain the accessibility of your interface. Discover how to resolve these challenges effectively.
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.
Counting longest spurt of consecutive cells with value
Hey y’all! It sounds like you're tackling a significant data challenge with your 6-hour intervals over the year. Counting the longest consecutive period where values exceed -12 can indeed be streamlined. While your current method is functional, consider exploring more efficient solutions using formulas, Power Query, or VBA to reduce workbook clutter. This will not only enhance usability but also make it easier to analyze multiple columns and subsets over time.
Project Tutorial: Predicting Tech Salaries with Machine Learning Using the 2023 Stack Overflow Developer Survey (Part 1 of 2)
In this tutorial, we embark on an exciting journey to predict tech salaries using machine learning, leveraging insights from the 2023 Stack Overflow Developer Survey. Have you ever questioned whether learning Rust is a worthwhile investment or if remote work truly offers higher pay? These intriguing inquiries are more than just speculation. With the appropriate dataset and machine learning tools, we can transform these questions into actionable insights. Join us as we explore how to harness data to uncover valuable trends in the tech industry.
How do you handle messy data with inconsistent spaces across hundreds of columns?
Handling messy data, especially with inconsistent leading spaces across hundreds of columns, can be daunting. In scenarios like this, Power Query emerges as a powerful ally, allowing you to efficiently trim spaces from multiple columns simultaneously, thus saving valuable time. While leveraging Power Query for this task can streamline the process, it’s wise to consider potential performance implications when working with extensive data sets. Exploring VBA solutions can also provide tailored automation for repeated tasks.
Fixing inconsistent results in INDEX-MATCH formula when lookup values repeat
Are you struggling with inconsistent results in your INDEX-MATCH formula when dealing with repeating lookup values? You're not alone. Many users face this challenge, especially when trying to extract precise data from complex datasets. In this discussion, we'll explore a refined approach that allows you to accurately retrieve values based on multiple criteria without resorting to helper columns.
A Designer’s Guide To Eco-Friendly Interfaces
In a world where every high-resolution image and complex animation comes with a hidden cost, the need for sustainable UX has never been more pressing. Designers are now challenged to rethink their approach, prioritizing responsibility over excess. As we look ahead to 2026, the hallmark of sophisticated design will be its ability to minimize impact while maximizing user experience. This guide will explore eco-friendly interface strategies that not only enhance performance but also align with the values of a more sustainable future.
Designing a Resource Management data model in Excel (with historical tracking + work allocation) – how would you architect it?
Designing a Resource Management data model in Excel can transform how you track personnel and allocate work. By architecting a solution that captures historical data, manages position changes, and allows for flexible task assignments, you can create a powerful tool for your organization. Consider using structured tables and VBA for controlled data entry to ensure scalability.
Designing A Streak System: The UX And Psychology Of Streaks
Streak systems tap into the core of human psychology, making them both powerful and addictive. As users, we crave consistency and progress, and understanding this desire is key to designing effective streaks. In this insightful exploration, Victor Ayomipo delves into the UX principles that make streaks not just appealing, but transformational. Discover how to leverage these design strategies to foster engagement and motivation. Continue reading to unlock specific techniques that can elevate your product and keep users coming back for more.
![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.
Best Business Analyst Certifications in 2026
As you explore business analyst certifications, you’re likely seeking the right credential to elevate your career without unnecessary costs or delays. The decision can be daunting, especially with the range of options available. In 2026, the International Institute of Business Analysis (IIBA) offers three distinct levels of credentials, each tailored to different career stages. The Project Management Institute (PMI) also provides valuable certifications. This guide will clarify your choices, helping you make an informed decision that aligns with your professional aspirations.
Excel Functions Mis-handle Text Criteria That Resemble Scientific Notation, for Example 00E2
Have you ever encountered a frustrating issue in Excel where your conditional aggregation functions return unexpected results? If your criteria resemble scientific notation—like 00E2 or 10359E2—you might be facing a sneaky problem. Excel’s tendency to coerce these text criteria into numeric interpretations can lead to erroneous matches and inflated totals, even in seemingly clean datasets. This ongoing issue, present in both older and recent Excel versions, makes accurate data analysis a challenge.
Assistance needed for Sage export - how to 'clean'?
Struggling with Sage exports can be a real headache, especially when it comes to cleaning up transaction data. If you've tackled most of the formulas but still can’t figure out how to consistently return nominal codes across multiple entries, you’re not alone. In this guide, we'll explore straightforward formula-driven solutions that streamline your data cleaning process, making it accessible for your entire team without relying on complex macros or Power Query. Dive in to discover a method that keeps your workflow smooth and efficient!