Data Formulator enables users to iterate with AI to create rich data visualizations. Users define their visualization goals using blended user interface interactions and natural language inputs, while ...

Abstract: In this paper, we present a big data-based stock price prediction method to analyze market trends better. Investors and market analysts need to predict correctly as the stock market is ...

In this comprehensive tutorial, we explore building an advanced, interactive dashboard with Taipy. Taipy is an innovative framework designed to create dynamic data-driven applications effortlessly.

Abstract: We investigate the concept of Augmented Dynamic Data Physicalization, the combination of shape-changing physical data representations with high-resolution virtual content. Tangible data ...

Some years back, on a New Year’s morning in the mid-1980s, I poured myself a cup of coffee, sat down with my goal-setting notebook, and visualized living in a house in the hills above Santa Barbara.

Data can often feel overwhelming—rows upon rows of numbers, scattered information, and endless spreadsheets that seem to blur together. If you’ve ever stared at a dataset wondering how to make sense ...

Businesses have relied on experiences and intuition-based decisions from senior leaders for growth for decades. These methods, while still being highly valuable, have been augmented by data-driven ...

import matplotlib.pyplot as plt years=[2010,2011,2012,2013,2014,2015,2016] city_a=[500000,550000,600000,650000,700000,750000,800000] city_b=[800000,850000,900000 ...