Browsing: Visualization

LangGraph is a specialized open-nd manage multi-agent applications and complex AI workflows using large language models

Data insights are critical to run the business in today’s world. Running almost all the departments to lead the organization towards growth, finding relevant insights from data requires the presence of best-performing tools. With multiple established brands offering their services, Tableau stands out among the crowd owing to numerous excellent key features. 

The ability to see patterns, trends, and relationships visually is more important than ever

Adjusting energy expenditure for body composition and visualizing the results are key to understanding the role of energy expenditure in human physiology and disease. Here, we outline specific analysis of covariance modelling and the design of partial residual plots optimized for analysing human energy expenditure data.

Tableau Data Visualization has become a core skill for teams that want to turn raw data into clear, interactive insights instead of static reports. The platform works as a flexible data visualization tool that lets analysts combine charts, filters, and interactions into focused BI dashboards that stakeholders can explore on their own.

has been like classical art. We used to commission a report from our data analyst—our Michelangelo—and wait patiently. Weeks later, we received an email with a magnificent hand-carved masterpiece: a link to a 50-KPI dashboard or a 20-page report attached. We could admire the meticulous craftsmanship, but we could not change it. What’s more: we…

Although the term ‘data journalism’ is a relatively recent one, popularised around 2010, data has been part of journalism throughout its history, from early newsletters covering stock prices and shipping schedules in the 17th century, to The Guardian’s 1821 first edition front page table of school spending, US investigations of politicians’ travel expenses in the…

Balancing automation and agency, Associate Professor Arvind Satyanarayan develops interactive data visualizations that amplify human creativity and cognition. Adam Zewe|MIT News Publication Date: September 5, 2025

It’s time to start building your own data visualizations. In this article, I will walk through the process of visualizing time-series data in Python in detail. If you have not read the previous articles in my data visualization series, I strongly recommend reading at least the previous article for a review of Python.

This paper presents a data-driven approach for quantifying the resilience of distribution power grids to extreme weather events using two key metrics: (a) the number of outages and (b) restoration time. The method leverages historical outage records maintained by power utilities and weather measurements collected by the National Oceanic and Atmospheric Administration (NOAA) to evaluate…