Data rarely comes in usable form. Data wrangling and exploratory data analysis are the difference between a good data science model and garbage in, garbage out. Novice data scientists sometimes have ...

If you are using big data analytics for business, the use of data visualization tools can help you optimize the data processing and analysis of the captured information. Having too much data available ...

Dataiku’s end-to-end machine learning platform combines visual tools, notebooks, and code to address the needs of data scientists, data engineers, business analysts, and AI consumers. Dataiku Data ...

In the realm of data analysis, the advent of artificial intelligence has been a game-changer. One such AI tool that has revolutionized the field is ChatGPT. This article will delve into how to utilize ...

Speeding up the exploratory data analysis process using flexible automation and consistent reporting allows analysts to deliver analyses quickly while ensuring precise, accurate results. In most ...

Data mining is an analytical process designed to explore and analyze large data sets to discover meaningful patterns, correlations and insights. It involves using sophisticated data analysis tools to ...

Big data, data analytics, data governance, data visualization, data integration and more. Discover these key data terms for a deeper understanding. Large and complicated data sets that are difficult ...

Area(s) of potential collaboration: Would like to collaborate with faculty who are interested in developing grant proposals that involve GIS and network analytics. Primary research focus: I study how ...

Choropleth maps are a widely used form of thematic mapping in which geographic areas are shaded using graduated colors to represent numeric values. Each area—typically a census unit or administrative ...

Cristani, C. and Tessera, D. (2026) A Foundational Protocol for Reproducible Visualization in Multivariate Quantum Data. Open Access Library Journal, 13, 1-13. doi: 10.4236/oalib.1114704 .