Abstract: Under the background of the surging scale of fiscal and tax data in the era of digital economy, traditional analysis methods have problems such as difficulty in complex correlation analysis, ...

In today's digital economy, data has become one of the most valuable assets any organization can possess. Yet, for all its abundance, data on its own rarely leads to understanding. The challenge for ...

Abstract: This study explores correlation analysis and machine learning for detecting anomalies in gas piston unit (GPU) data. Pearson and Spearman correlation reveal key parameter dependencies, ...

Have you ever stared at a massive spreadsheet, unsure how to turn that sea of numbers into something meaningful? You’re not alone. Despite Excel being one of the most widely used tools in the world, ...

Electricity rates for individuals and small businesses could rise sharply as Amazon, Google, Microsoft and other technology companies build data centers and expand into the energy business. A ...

When I designed my grade six social studies course on human geography, I incorporated different disciplines into my units. I wanted data analysis to be seen as a social studies skill, not only as a ...

ABSTRACT: The Edinburgh Postnatal Depression Scale (EPDS) is widely used in epidemiological, research, and clinical contexts. Although it has clearly established cut-off points, its psychometric ...

What if you could transform the way you analyze data in just 12 minutes? Picture this: a mountain of raw numbers and spreadsheets that once felt overwhelming now becomes a treasure trove of actionable ...

Life sciences commercial teams are drowning in data complexity. Despite having access to sophisticated analytics platforms, teams still spend days navigating multiple dashboards, waiting for insights, ...