I’ll be real with you, when I opened Tableau for the first time and was introduced to what we actually do in it, my brain did a full reset. I vaguely remembered doing bar charts and donut charts back in school. I knew they existed. But what they actually represent? What problem they solve? Completely blank. And there’s no shame in admitting that I had to start from Level 1, and I’m saying that with full honesty and zero embarrassment. The first thing I did was break down my s

Remember that time you shrugged off a seemingly harmless scrape on your elbow? Most of the time its nothing and you move on. But I clearly remember the warning that my parents gave, that if I don’t clean and disinfect the wound, it may become Septic.

Introduction: When I started to explore the datasets, one thing I’ve noticed is that static charts are useful only up to a certain point; i.e., the raw numbers will not give the proper story. They help us understand the data initially, but as soon as someone wants to explore the information in more detail, we often end up creating multiple versions of the same chart. Why does interactivity matter? Let me explain with a simple example from the heart disease dataset. Suppose I

Introduction Whenever we work with real‑world data, especially medical data, the first thing we need to do is understand what the data is and how it look like. Before building any model, it’s important to check whether the dataset has unusual values, missing values, or anything that might affect the results later. Outliers are simply values that don’t fit in with the rest of the data — they may be much higher or lower than what we normally expect. In healthcare datasets, thes

Type 2 Diabetes doesn't make headlines like cancer or heart disease, yet it quietly affects more people than both combined.

The moment I counted sixty measures waiting to be manually copied, I knew there had to be a better way. Working in a team on Power BI projects sounds great in theory — everyone builds brilliantly in isolation, visuals looking sharp, measures working perfectly. Until that one painful moment arrives where it all needs to come together in a single file. I had sixty-plus calculated columns and measures across three visuals, one deadline, and absolutely zero intention of doing it

When I started working on a diabetes dashboard data, I wanted something simple: a clean web app where I could explore data, detect outliers, visualize patterns, and run a machine learning model with a known and easy language python. Streamlit is a remarkable Python library that lets you turn a normal Python script into a fully interactive web application. In this blog, I’ll walk through everything I did — from installing packages, building the app, adding caching and navig

Tableau is already a powerhouse for data visualization, but sometimes you need charts that go beyond the native library—think Sankey diagrams, radial bar charts, network graphs, or custom KPI widgets. That’s where Tableau VIZ Extensions come in. They let you embed custom, interactive visualizations directly inside your dashboard using JavaScript‑powered extensions. What Are Tableau VIZ Extensions? VIZ Extensions allow you to insert custom visualizations into Tableau dashboa

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

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.

Sprint-2: Butterfly Chart from Scratch: Visualizing Age and Gender Patterns in Sepsis Data Butterfly chart is a great way to compare the...

Sprint-2: Unveiling Sepsis Patterns Across Age and Gender Segregation of sepsis and non-sepsis patients according to age group and gender...

My journey through Sprint-1: turning medical data into insights that could save lives. What is Sepsis? Sepsis is the body’s extreme...

Photo by Joshua Hoehne on Unsplash Knowing the correct terminology when working with data in Tableau (or any data analytics tool) is...

DAX (Data Analysis Expressions) is the powerful formula language that drives calculations and analytics in Power BI. It’s the backbone...

Picture Credit : Here Picture this: A large conference table. Managers with stacks of binders and printed reports. A whiteboard listing...

Tableau is a powerful data visualization and analytics platform that helps people see and understand their data. It allows users to...

Tableau is a leading data visualization and business intelligence platform that empowers users to transform raw data into clear,...

Photo credit Photo by Claudio Schwarz on Unsplash Todays digital world is data driven. Businesses, governments, finances, medical and...