Understanding, organizing, and validating data directly affects the accuracy of stories. New tools make cleaning accessible ...
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I Use Python, but I’m Learning R and the Tidyverse for Data Analysis Too
I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to language for statistics, but the "Tidyverse" has given the language a serious ...
Innovative technologies of the Fourth Industrial Revolution (4IR) are transforming and modernizing the way data is generated, collected, and analyzed across different industries and fields of study. 1 ...
Ordinary linear regression (OLR) assumes that response variables are continuous. Generalized Linear Models (GLMs) provide an extension to OLR since response variables can be continuous or discrete ...
Google Sheets is a powerful tool for data analysis, offering a range of functionalities that cater to both beginners and intermediate users. This article aims to guide you through the process of ...
RAILWAY AGE, MARCH 2020 ISSUE: The December 2019 Big Data in Railroad Maintenance Planning Conference, held at the University of Delaware, continued to highlight the advances the railroad industry is ...
Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy ...
In the fast-paced world of financial services, data analysis plays a crucial role in solving complex business problems and extracting valuable insights. Excel, a powerful and versatile tool, has ...
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