This guide uses a superstore dataset, containing sales records, profits, shipping details, and customer information, to demonstrate how to build a powerful dashboard. By following a structured approach to data loading, transformation, and visualisation, you can generate meaningful insights that drive informed decision-making. If you’re new to Power BI, check out this article covering the…
Introduction Insights can be communicated through written reports, visualisation reports, or dashboards. Visualisations are key in data analysis, and it’s common to see the terms “reports” and “dashboards” used interchangeably, even though they serve different purposes. Reports vs. Dashboards Reports provide detailed, static data, often with a focus on historical or specific information. They are…
Introduction Power BI is a powerful business analytics tool by Microsoft that allows users to visualise data, share insights, and make data-driven decisions. Whether you’re new to Power BI or need a refresher on how to get started, this guide will walk you through the installation process and provide tips for getting the most out…
Introduction Power Query is a powerful data connection technology that allows you to discover, connect, combine, and refine data across a wide variety of sources. This guide will provide a detailed step-by-step process on how to transform data using Power Query in Power BI. By following these instructions, you’ll be able to handle data more…
Introduction The ability to predict customer behaviour has become increasingly important for businesses, especially in the financial sector. For banks, understanding which clients are likely to subscribe to a term deposit can lead to more effective marketing strategies and better resource allocation. This analysis explores a beginner’s approach to predicting whether a client will subscribe…
Introduction The ability to extract meaningful insights from raw data is more crucial now than ever. Among the many datasets available for analysis, the “Adult Census Income” data can be used to understand the socio-economic factors that influence income levels. This dataset, collected from the 1994 U.S. Census, includes a variety of demographic information, such…
Introduction Heart disease remains one of the leading causes of morbidity and mortality worldwide. Hence, understanding the factors that contribute to heart disease and the treatments that can mitigate its effects is crucial for improving patient outcomes. This project will explore a dataset related to heart attack patients and analyse various demographic, lifestyle, and clinical…
Introduction Customer service quality can make or break a company’s reputation. Call-centres are often at the frontline of customer interactions, making them a crucial component of customer satisfaction strategies. To ensure that these interactions meet customer expectations, it’s essential to analyse and understand the factors that contribute to positive or negative experiences. In this project,…
Introduction The vast amounts of retail data that accumulate from day-to-day transactions can provide valuable insights into product performance, customer segmentation, and market trends. In this project, we will carry out a detailed analysis of a retail dataset, exploring various aspects such as sales trends, geographical performance, and customer segmentation using RFM (Recency, Frequency, Monetary)…
Introduction The automotive industry is undergoing a profound transformation, with electric vehicles (EVs) at the forefront of this revolution. As governments, consumers, and manufacturers alike recognise the environmental and economic benefits of EVs, adoption rates are soaring, especially in forward-thinking regions like Washington State. This project delves into a comprehensive analysis of EV adoption trends…
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