Speeding up the exploratory data analysis process using flexible automation and consistent reporting allows analysts to deliver analyses quickly while ensuring precise, accurate results. In most ...

The SiZer methodology proposed by Chaudhuri and Marron (1999) is a valuable tool for conducting exploratory data analysis. Since its inception different versions of SiZer have been proposed in the ...

In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...

5:30 p.m. – 7:30 p.m. In this hands-on workshop, you’ll learn the basics of data analysis using Python in Google Colab. We’ll cover how to import and explore datasets, clean and preprocess data, and ...

Knowing how to mine useful data from the minutiae of business reports, then using it to spot patterns to boost your company’s bottom line? That’s a skill set that can put you in line for some ...

Purpose This study presents the Brazilian short form of the P-CPQ. Methods Data from a representative sample of 702 parents/caregivers of children were randomly divided in two subsamples. A ...

Still using Excel for your data analysis? Learn how to leverage Python so you can work with larger datasets and automate repetitive tasks. Learning to code, whether with Python, JavaScript, or another ...

Excel has been the undisputed king of spreadsheets for decades. Countless professionals rely on it daily for everything from simple data tracking to complex financial modelling. But if I told you that ...