In modern analytics ,environments, dashboards are shared across teams, departments, and regions.But not every user should see every row of data. A regional manager should only see their region. A team lead should only see their team. A student should only see their own scores. This is where RLS becomes essential .RLS ensures that each user sees only the data they are authorized to see , without requiring multiple versions of the same dashboard. One dashboard, many p

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

In the realm of modern data storytelling, the aesthetic appeal of a dashboard is not merely a matter of "decoration"—it is a critical component of user engagement and cognitive clarity. Most Tableau dashboards, while mathematically accurate and functional, often suffer from what designers call a "sterile" feel. They are defined by flat, utilitarian colors, sharp 90-degree edges, and a lack of visual hierarchy that can make data feel cold and uninviting. When a dashboard looks

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

Hi Team, I have published a new blog exploring Tableau's Window & Navigation Functions. your review would be awesome!

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

Mostly in Tableau we focus on the math and the logic and treat the visual interface as an afterthought. However, in a professional setting, your data is only as persuasive as it is readable. If your dashboard looks cluttered or unpolished, your audience will subconsciously trust the insights less. Beginner hurdles in dashboard designing is the with "White Box" dilemma . We have spent hours crafting a beautiful, dark-themed background or a sophisticated blue gradient for our e

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

My previous work with The Heart Disease UCI Dataset focused on the foundational layer—utilizing descriptive statistics in PostgreSQL  to build robust architectures and ensure every query returned reliable, high-integrity results. However, once the data is structured, the challenge shifts from backend logic to user experience (UX). For this phase, I wanted to focus on the end-user’s journey, moving beyond the static design patterns I had previously relied on. In earlier proje

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 .

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

We can do drill down in Tableau using set function and parameter function and  There is different level of drill down. now we are going to see how level 1 drill down is done using Parameter function. Dynamic Drill-Down Chart   empowers users perform their own analytical skill. Step1: drop the Sum(Measures) in columns and category(Dimension) in rows. Step 2: Create Parameter name as parameter1, and change Datatype to string .     Step3: How to create a calculated field is show

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...

When working with real-world data, it’s common to encounter fields that contain multiple types of information crammed into one column. A...

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...