Cluster analysis can be a powerful data-mining tool to identify discrete groups of customers, sales transactions, or types of behaviours.
The purpose ofstatistical analysisis twofold: firstly, we need to make sure there aren’t any errors in our sample size; secondly, we need to see whether there are any differences between our samples (that is, whether there are differences between populations with different characteristics). Cont...
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A group discussion (GD) is a collaborative communication exercise where individuals express their opinions, ideas, and knowledge on a given topic. Normally used in academic, professional, or social settings, group discussions assess participants’ communication skills, critical thinking, and ability to ...
What is a Theme in Thematic Analysis? In thematic analysis, a “theme” is a recurring pattern of meaning. Themes come from codes, which are labels assigned to segments of text representing important ideas. They go beyond simple keywords, capturing broader concepts that summarize what people are...
1. What is a Data Analyst? Before we begin, let’s clarify:What exactly is a data analyst? Well, a data analyst is someone who works with data, analyzing it to extract valuable insights.Understanding the essence of data analysis is crucial for anyone aspiring to become proficient in thi...
Thematic analysis is highly beneficial when working withlarge bodies of data, as it allows you to divide and categorise large amounts of data in a way that makes it easier to digest. Thematic analysis is particularly useful when looking forsubjective information, such as a participant’s experi...
Graph Database Use Case: Social Media Analysis Graph databases can be used in many different scenarios, but it is commonly used to analyze social networks. In fact, social networks make the ideal use case as they involve a heavy volume of nodes (user accounts) and multi-dimensional connections...
1. Reporting Definition: What is Reporting? Reports use tables, charts, and other widgets to display data. Reporting can also be understood as the process of presenting the results of a series of research and analysis. All reports address some specific goal. They are structured to meet the re...
Analysis of covariance combines ANOVA and regression. It can be useful for understanding within-group variance that ANOVA tests do not explain. Does ANOVA Rely on Any Assumptions? Yes, ANOVA tests assume that the data is normally distributed and that variance levels in each group are roughly equa...