Hi team, check out my blog showcasing the New home page build. It highlights a streamlined AI job dashboard with insights on roles, salaries, and work modes. Thank You

Introduction When working with data in Tableau, calculations are usually driven by the dimensions present in your view. But what if you want a calculation to stay consistent, no matter how the visualization changes? This is exactly where Level of Detail (LOD) expressions come in. LOD expressions allow you to define the level at which a calculation should be performed, giving you full control over data detail and helping you build accurate, reliable dashboards. In this

Systemic Inflammatory Response Syndrome (SIRS) is a clinical condition characterized by widespread inflammation throughout the body. It is identified by abnormal vital signs and laboratory markers such as temperature, heart rate, respiratory rate, and white blood cell count. Early recognition of SIRS is crucial, as it can signal serious underlying conditions like infection or sepsis, and prompt timely intervention to improve patient outcomes.

In today’s digital world, almost every application relies on data — and SQL is one of the most important tools used to manage it. From small websites to global enterprises, SQL enables systems to store, organize, and retrieve information efficiently. If you’re stepping into technology, analytics, or data-driven decision-making, learning SQL is an essential first step. What Exactly Is SQL? SQL, short for Structured Query Language , is a standardized language designed to inter

As I began my journey as a Data Analyst, I often found myself questioning a fundamental part of the job: If I have already done the math, why do I need the picture? I was meticulously calculating means, variances, and correlations for every dataset that crossed my desk. I felt that if the math was accurate, the story was told. Why spend hours perfecting a chart when the 'truth' was already sitting there in the totals? That skepticism vanished the moment I came across Anscomb

Introduction Today I learned that data visualization can trigger unexpected side effects. Especially while creating a thermometer chart tweaking the fill level, aligning the reference line, and choosing just the right gradient color my brain quietly switches from performance metrics to weather forecasts and fever checks. Suddenly, every KPI feels like it’s running a temperature test. That’s my heated struggle 🌡️ Temperature jokes aside, let’s talk about my work “The Thermom

Learn how PostgreSQL window functions enable advanced data analytics without collapsing rows. This blog uses the Titanic dataset to demonstrate ranking, running totals, segmentation, and trend analysis using real-world SQL examples.

Hi Team , Check out Blog where I have done my AI JOB Market Analysis Project Using Data Visualization Tool.

Introduction Tableau offers a comprehensive REST API that gives developers, analysts, and administrators the ability to automate and manage nearly every aspect of Tableau Server or Tableau Cloud. Instead of relying solely on the user interface, the REST API allows you to programmatically create users, publish and update workbooks, refresh data extracts, adjust permissions, query metadata, and orchestrate administrative workflows at scale. For teams managing large deployments

Hi Team, In this blog I am dropping my thoughts and the journey during our First Numpy DA Project .Sepsis.Thank you Let's begin

From NON - IT to Data Analytics... Could This Be Your Story Too? Photo by Deng Xiang on Unsplash Have you ever sat at your desk and thought, “I’m doing my job well… but is this really what I want to do long term?” If yes, trust me you’re not alone. I was working in the financial sector , handling daily operations, transactions, and reports. Everything was stable. Everything was familiar. But somewhere along the way, I started noticing something interesting, every decision wa

Practical Filter Tips to Boost Speed, Reduce Load Time, and Improve User Experience: A fast, responsive Tableau dashboard isn’t just a “nice to have”—it’s essential, especially when you’re working with large datasets like healthcare records, patient encounters, or operational metrics. Slow dashboards frustrate users, interrupt workflows, and reduce trust in the data. If you’ve ever clicked a filter and watched Tableau pause… or waited for a dropdown to load… or wondered why a

Hi Team, Kindly find My Monitoring Data Alert Using Tableau . Monitoring the Alerts are the one who is having a smart assistant who never sleeps, never forgets, and never gets bored. You stay focused on the big stuff, while the alerts make sure you never miss a spike, dip, or trend worth noticing. Thank you Open the Blog Continue Reading .If you Like Clap for me .

Hi team! Check out my latest blog on why data cleaning is critical for accurate visualizations and better business decisions. I also show a real-world COVID-19 dataset case study using Python.

Introduction A 3D cylinder progress chart is a visible fascinating way to show percentage attainment or development toward the goal. The 3D cylinder appears moderately filled with color, making it excellent for dashboards. In this blog, you will learn how to build a cylinder style progress chart in Tableau like the one which is shown below, where each merchandise displays its attainment percentage inside a vertical cylinder. When to use cylinder chart Use a 3D cylinder prog

The Python hackathon gave me hands-on experience analyzing the Flatten COVID-19 dataset in Jupyter Notebook—the digital lab book where data scientists prototype Python, R, and more. Before writing a single line of code, I learned the first rule of data analysis: deeply understand your dataset first. Dataset Reality Check: This wasn't hospital lab data. It contained self-reported COVID-19 symptom surveys from Ontario residents during early 2020, split across 3 evolving schemas

Introduction: The Imperative for Precision in Sepsis Diagnosis Sepsis is not merely an infection, it is a medical emergency, defined as life-threatening organ dysfunction caused by a dysregulated host response to infection. It remains a leading cause of mortality in critical care units worldwide, accounting for millions of deaths annually and consuming a disproportionate share of healthcare resources. For decades, the clinical approach to sepsis was governed by a paradigm roo

In the competitive landscape of modern data storytelling, delivering a high-level overview is no longer enough to satisfy a sophisticated audience; in fact, providing only the "big picture" is often where the battle for engagement is lost. The true, transformative value of business intelligence emerges at the precise moment. were end-user transitions from a passive observer to an active participant. When a user can physically "interact" with data—peeling to find their own bes

Yes, another blog on how to prepare a visual, borinnggg! But hear me out. As you start building visuals, you often try to visualize data in the same basic charts. But we are often pushed to visualize the same old data in some new light. As I was racking my brain for a new way to visualize simple data, I stumbled upon the Word Cloud visual, which I had created during my primitive days and wondered why not give it a try. And to my surprise the feedback was completely positive.

When learning Tableau, one of the first and most important concepts you’ll encounter is the difference between Dimensions and Measures . These two building blocks determine how Tableau organizes, analyzes, and visualizes your data. Let’s discuss about the blue and green fields and understand them in the simplest way possible. What Are Dimensions in Tableau? Dimensions are categorical fields used to slice, group, and segment your data.They usually contain text or discret