Identified data types for each distinct column value on 1900 data sets. For each column, summarized semantic types present in the column, using Fuzzy Logic, Levenshtein distance. Identified & derived ...

Abstract: The success of deep learning heavily relies on the large amount of training samples. However, in scientific visualization, due to the high computational cost, only few data are available ...

Advanced data visualization and analytics have become central to enterprise IT strategies as organizations face rapid data growth from cloud services, software-as-a-service applications, edge devices, ...

Abstract: Visualization knowledge bases enable computational reasoning and recommendation over a visualization design space. These systems evaluate design trade-offs using numeric weights assigned to ...

The social science data analysis and visualization minor introduces students to the fundamentals and current innovations of research and data analysis across social science disciplines. It equips ...

ABSTRACT: Nowadays, understanding and predicting revenue trends is highly competitive, in the food and beverage industry. It can be difficult to determine which aspects of everyday operations have the ...

Matplotlib is a powerful and flexible plotting library in Python. It allows users to create static, animated, and interactive visualizations with fine-grained control over every element. Pandas is ...

As someone whose early academic career was shaped by infographics – and whose professional journey led into agile project management, augmented reality (AR), and immersive technology – I believe ...