
Stop Struggling with Spreadsheets Use Power Query in Excel to Simplify Data Cleaning
In this guide, Leila Gharani uncovers why so many people wish they had discovered Power Query sooner. You'll learn how it can transform chaotic datasets into analysis-ready gold, automate repetitive tasks, and even combine data from multiple sources with ease. But that's just scratching the surface. From cleaning up blank cells to restructuring entire reports, Power Query offers tools that can simplify even the most complex workflows. If you've ever wondered how professionals seem to make sense of data so effortlessly, this might just be their secret weapon. By the end, you might find yourself wondering how you ever worked without it. Power Query Overview Why Power Query Should Be Part of Your Workflow
If you've ever spent hours manually cleaning messy datasets, merging files, or preparing data for analysis, Power Query can streamline your workflow. It automates repetitive tasks, such as copying, pasting, and reformatting, allowing you to focus on deriving insights and making decisions. From handling blank cells and inconsistent formats to consolidating data from multiple sources, Power Query provides a structured and efficient approach to data management. By reducing manual effort, it minimizes errors and ensures consistency across your datasets. Key Features for Data Cleaning and Transformation
Power Query excels at transforming disorganized data into clean, structured information. Its features are designed to address common data challenges, including: Removing unnecessary rows, blank cells, and duplicate headers to ensure data accuracy.
Filling in missing values within columns to maintain dataset completeness.
Trimming extra spaces, replacing values, and standardizing text formats for consistency.
Adding calculated columns to generate metrics like percentages or conversion rates.
These tools ensure your data is not only accurate but also ready for analysis, saving you time and effort in preparing datasets. Why Power Query is the Best Excel Feature You're Not Using
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Discover other guides from our vast content that could be of interest on Power Query. Combining Data from Multiple Sources
One of Power Query's standout capabilities is its ability to merge data from multiple files into a single, unified dataset. Whether you're working with CSV files, Excel workbooks, or other formats, Power Query simplifies the process by allowing you to: Import entire folders of files and filter them by name or type.
Combine data from various sources into a cohesive dataset.
Automatically update the combined dataset when new files are added to the source folder.
This feature is particularly valuable for tasks like consolidating monthly reports or integrating data from different departments, making sure your datasets remain up to date with minimal manual intervention. Transforming Reports into Analysis-Ready Datasets
Power Query makes it easy to restructure unorganized reports into datasets that are ready for analysis. For example, you can: Unpivot columns to convert wide tables into a long format suitable for Pivot Tables or charts.
Convert text-based dates into proper date formats for accurate time-based analysis.
Assign appropriate data types, such as numbers, text, or dates, to columns for consistency.
These transformations simplify the process of analyzing and visualizing your data, allowing you to focus on generating actionable insights. Automation and Real-Time Updates
One of the most powerful aspects of Power Query is its ability to automate repetitive tasks. Once you define a sequence of cleaning and transformation steps, you can apply them to new data with a single click. Additionally, Power Query supports real-time updates, allowing you to refresh datasets or Pivot Tables whenever the source data changes. This ensures that your reports remain accurate and up to date without requiring manual adjustments, making it an invaluable tool for dynamic reporting. Advanced Features for Customization
For users with more complex data requirements, Power Query offers advanced customization options, including: Creating calculated columns to generate custom metrics tailored to your needs.
Reordering and fine-tuning transformation steps to align with your workflow.
Using the built-in formula bar for advanced calculations and custom transformations.
These features provide flexibility and control, allowing you to address specific data challenges and tailor your queries to meet unique project requirements. Seamless Integration with Excel for Reporting
After cleaning and transforming your data, Power Query allows you to load it directly into Excel as a table or Pivot Table. This seamless integration enables you to create dynamic reports and visualizations, making it easier to share insights and drive decision-making. The 'Queries & Connections' pane serves as a centralized hub for managing and editing your queries, making sure your work remains organized and accessible. By combining Power Query with Excel's visualization tools, you can present your data in a clear and impactful way. Practical Tips for Maximizing Power Query
To fully use the capabilities of Power Query, consider these practical tips: Use the 'Queries & Connections' pane to efficiently track and manage your queries.
Automate recurring tasks, such as monthly reporting, to save time and reduce errors.
Apply filters and validations to maintain consistency and accuracy across datasets.
Experiment with advanced features, such as custom formulas, to address complex data challenges.
By adopting these practices, you can streamline your workflow, maintain high-quality data, and unlock the full potential of Power Query. Empower Your Data Management with Power Query
Power Query is a versatile and user-friendly tool that transforms how you manage and analyze data in Excel. By simplifying data cleaning, transformation, and automation, it enables you to handle large or complex datasets with ease. Whether you're just starting out or looking to enhance your data skills, mastering Power Query can significantly boost your productivity and efficiency. Its ability to automate tasks, integrate seamlessly with Excel, and provide advanced customization options makes it an essential tool for anyone working with data in 2025 and beyond.
Media Credit: Leila Gharani Filed Under: Guides
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The Guardian
40 minutes ago
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AI might feel like a lifeline when services are overstretched – and make no mistake, services are overstretched. Globally, in 2019 one in eight people were living with a mental illness and we face a dire shortage of trained mental health professionals. In Australia, there has been a growing mental health workforce shortage that is impacting access to trained professionals. Clinician time is one of the scarcest resources in healthcare. It's understandable (even expected) that people are looking for alternatives. Turning to a chatbot for emotional support isn't without risk however, especially when the lines between advice, reassurance and emotional dependence become blurred. Many psychologists, myself included, now encourage clients to build boundaries around their use of ChatGPT and similar tools. Its seductive 'always-on' availability and friendly tone can unintentionally reinforce unhelpful behaviours, especially for people with anxiety, OCD or trauma-related issues. Reassurance-seeking, for example, is a key feature in OCD and ChatGPT, by design, provides reassurance in abundance. It never asks why you're asking again. It never challenges avoidance. It never says, 'let's sit with this feeling for a moment, and practice the skills we have been working on'. Tran often reworded prompts until the model gave him an answer that 'felt right'. But this constant tailoring meant he wasn't just seeking clarity; he was outsourcing emotional processing. Instead of learning to tolerate distress or explore nuance, he sought AI-generated certainty. Over time, that made it harder for him to trust his own instincts. Beyond psychological concerns, there are real ethical issues. Information shared with ChatGPT isn't protected by the same confidentiality standards as registered Ahpra professionals. Although OpenAI states that data from users is not used to train its models unless permission is given, the sheer volume of fine print in user agreements often goes unread. Users may not realise how their inputs can be stored, analysed and potentially reused. There's also the risk of harmful or false information. These large language models are autoregressive; they predict the next word based on previous patterns. This probabilistic process can lead to 'hallucinations', confident, polished answers that are completely untrue. AI also reflects the biases embedded in its training data. Research shows that generative models can perpetuate and even amplify gender, racial and disability-based stereotypes – not intentionally, but unavoidably. Human therapists also possess clinical skills; we notice when a client's voice trembles, or when their silence might say more than words. This isn't to say AI can't have a place. Like many technological advancements before it, generative AI is here to stay. It may offer useful summaries, psycho-educational content or even support in regions where access to mental health professionals is severely limited. But it must be used carefully, and never as a replacement for relational, regulated care. Tran wasn't wrong to seek help. His instincts to make sense of distress and to communicate more thoughtfully were logical. However, leaning so heavily on to AI meant that his skill development suffered. His partner began noticing a strange detachment in his messages. 'It just didn't sound like you', she later told him. It turned out: it wasn't. She also became frustrated about the lack of accountability in his correspondence to her and this caused more relational friction and communication issues between them. As Tran and I worked together in therapy, we explored what led him to seek certainty in a chatbot. We unpacked his fears of disappointing others, his discomfort with emotional conflict and his belief that perfect words might prevent pain. Over time, he began writing his own responses, sometimes messy, sometimes unsure, but authentically his. Good therapy is relational. It thrives on imperfection, nuance and slow discovery. It involves pattern recognition, accountability and the kind of discomfort that leads to lasting change. A therapist doesn't just answer; they ask and they challenge. They hold space, offer reflection and walk with you, while also offering up an uncomfortable mirror. For Tran, the shift wasn't just about limiting his use of ChatGPT; it was about reclaiming his own voice. In the end, he didn't need a perfect response. He needed to believe that he could navigate life's messiness with curiosity, courage and care – not perfect scripts. Name and identifying details changed to protect client confidentiality Carly Dober is a psychologist living and working in Naarm/Melbourne In Australia, support is available at Beyond Blue on 1300 22 4636, Lifeline on 13 11 14, and at MensLine on 1300 789 978. In the UK, the charity Mind is available on 0300 123 3393 and Childline on 0800 1111. In the US, call or text Mental Health America at 988 or chat