Abstract: Exploratory Data Analysis (EDA) is the interactive process of gaining insights from a dataset. Comparisons are popular insights that can be specified with comparison queries, i.e., ...

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames. Cleanlab's open-source library is the standard data-centric AI package for data quality and machine ...

Databricks has added a new agent, the Data Science Agent, to the Databricks Assistant, in an effort to help data practitioners automate analytics tasks. The agent, which is available now in preview ...

The world runs on data. A hallmark of successful businesses is their ability to use quality facts and figures to their advantage. Unfortunately, data rarely arrives ready to use. Instead, businesses ...

Social media platforms have become a cornerstone of modern communication, and their impact on digital forensics has grown significantly. These platforms generate immense volumes of data that are ...

The Trump administration has expanded Palantir’s work with the government, spreading the company’s technology — which could easily merge data on Americans — throughout agencies. Alex Karp, a ...

ABSTRACT: Sharing knowledge produced by university research is still a complex activity, especially when it comes to commercial exploitation. One way to share this knowledge is through the creation of ...

Due to the lapse in federal government funding, NASA is not updating this website. How does life that’s evolved here on Earth react to the radiation-rich, gravity-poor environment of space? It’s an ...

In this tutorial, we demonstrate the integration of Python’s robust data manipulation library Pandas with Google Cloud’s advanced generative capabilities through the google.generativeai package and ...