RONO HILLS, 30 Sep: The Rajiv Gandhi University Research Scholars’ Forum (RGURSF) conducted a three-day national e-workshop on ‘Use of SPSS in data analysis in social science research’from 28 to 30 ...

Personal Data Servers are the persistent data stores of the Bluesky network. It houses a user's data, stores credentials, and if a user is kicked off the Bluesky network the Personal Data Server admin ...

In this tutorial, we’ll learn how to harness the power of Google’s Gemini models alongside the flexibility of Pandas. We will perform both straightforward and sophisticated data analyses on the ...

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 ...

Have you ever stared at a massive spreadsheet or database, feeling overwhelmed and unsure where to even begin? In today’s data-driven world, making sense of raw information can feel like an uphill ...

Social scientists are faced with the challenge of designing complex studies and analyzing collected data via various programs such as R, Stata, SPSS, or Python. This often requires the use of ...

Q. You explained Excel’s Scenario Manager in your November 2024 Tech Q&A article and Goal Seek in your December 2024 Tech Q&A article. Can you please explain the final What-If Analysis tool: Data ...

Imagine a world where every business decision is powered by real-time AI insights, where synthetic data eliminates privacy concerns, and where your personal data becomes as valuable as currency.

Data analysis languages like Numpy, MATLAB, R, IDL, ADL, and Julia are primarily interactive, using an array-at-a-time interface. Instead of conducting an entire analysis in a single loop, each ...