Descriptive statistics are fundamental in data analysis, offering a quick snapshot of data through measures like mean, median, mode, and standard deviation.

Explore the distinctions between descriptive and inferential data analysis and how they drive decisions in data analytics.

Columnist David Fothergill provides a handy primer on statistical principles that can help make your sense of and glean insights from your marketing data.

Descriptive Statistics Toolkit Overview This project is a flexible and comprehensive collection of scripts and notebooks dedicated to performing descriptive statistical analysis across various data ...

Descriptive Data Analysis Project Overview This project focuses on descriptive data analysis, aiming to provide a comprehensive understanding of a dataset through various statistical techniques and ...

The objective of this analysis is to describe the trend of hospitalizations for newborns with neonatal abstinence syndrome in Canada (excluding Québec), between 2010 and 2020. The results of this ...

Data mining and machine learning-based data analysis over the waste data can produce a more detailed, and in-time waste information generation, which can lead to effectively manage the waste amount of ...

Explore the importance and benefits of descriptive analytics. Learn how analyzing historical data can provide valuable insights to apply into your business.

Raw data would make all of this impossible or hard to figure out but these two techniques – data visualization and descriptive statistics – can make it easy. “When it comes to data visualization and ...

If you are tackling tons of data from qualitative research, this post will take a deep dive into how descriptive statistics work and how you can perform this type of analysis.