The Answer is YES - that is what I did and learned a lot from my first hackathon. Picture Courtesy wix.com In this blog I will share my experience and lessons learned , which could be helpful for beginners like me. Recently I heard about a Python Hackathon starting in a few days. At that time I had just started learning Python, and I don’t have any work experience. So I was initially hesitant to join - but  I thought why not? Let's give it a try. It can be an opportunity fo

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

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

Picture Courtesy Wix.com Today I learned that data visualization can cause some other side effects. Especially  while creating a lollipop chart during  formatting the  stick,  adjusting the circle size, and choosing the rainbow color palette, my brain  switches from  data analytics to  candy craving. Thats my Sweet Struggle Sweet cravings apart lets talk about my work “ The Lollipop chart ” Lollipop chart showing trigger hours for patients with SIRS Sepsis is a life-threateni

Picture Courtesy Wix.com Introduction There are 4 primary types of analytics viz.,  Descriptive analytics : To understand what happened Diagnostic analytics: To explain why it happened Predictive analytics: To predict what might happen in the future, and Prescriptive analytics: To recommend what should be done to achieve the best possible  outcome. In this blog I would like to explain the correlation between Predictive and Prescriptive analysis with a real world example, base

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