Learn how to master Excel for data analysis and uncover actionable insights with this step-by-step guide. Perfect for ...

pandas is a Python module that's popular in data science and data analysis. It's offers a way to organize data into DataFrames and offers lots of operations you can perform on this data. It was ...

This research provides density functions and descriptive statistics for the distance between points for basic shapes in Cartesian space. Both Euclidean and Rectilinear Distances are determined for ...

Data quality is critical for successful data processing, with robust statistics essential for handling outliers and ensuring accurate representation. The standard deviation is sensitive to outliers, ...

Abstract: The performance evaluation (PE) of the Photovoltaic(PV) system is an index representing the efficiency and reliability of the system. Most PE indicators evaluate the ratio of theoretically ...

Here's how to build smarter checklists in Excel using checkboxes, conditional formatting and task dependencies to help with multi-step processes. In my previous article in this series, I walked you ...

Learn how to add, configure and use checkboxes in Excel to create interactive task lists and trigger formatting without relying on macros. Recently, Microsoft has introduced the ability to add ...

ABSTRACT: Singh, Gewali, and Khatiwada proposed a skewness measure for probability distributions called Area Skewness (AS), which has desirable properties but has not been widely applied in practice.

New York City Airbnb data want to provide insights and recommendations to improve the company's business model and increase revenue. By analyzing this data, New York City Airbnb will be able to make ...

Neurointervention has seen significant advancements in recent decades with the adoption of myriad new technologies and techniques. Initially reliant on case reports and small case series, we now ...

This course provides a project-based approach to introductory statistics with an emphasis on using real-world data and statistical literacy. Topics include descriptive statistics, correlation and ...