In statistics, there are four data measurement scales: nominal, ordinal, interval and ratio. These are simply ways to sub-categorize different types of data (here’s an overview of statistical data types) . This topic is usually discussed in the context of academic teaching and less often in...
Quantitative research is a scientific method of collecting numerical data to measure variables in the form of numbers or statistics. For example, a survey might conclude that 356 respondents out of a total of 500 (71.2%) were in favor of a new product feature. These numbers are concrete, and...
The unstructured form of information is not that easy to organize or process. It includes text, images, audio, and video and is often more difficult to analyze using traditional methods. Social media posts, emails, and customer reviews are some real-life examples. Unstructured data is majorly c...
Examples of qualitative data You’ve most likely used qualitative data today. This type of data is found in your everyday work and in statistics all over the web. Here are some examples of qualitative data in descriptions, research, work, and statistics. Qualitative data in descriptions Analys...
We will explore the concept of Big Data Analytics, its features, benefits, and methods for deriving valuable insights from vast amounts of unprocessed data.
The ultimate guide to data visualization. Learn how to present data visually using data visualization techniques and best practices. Lots of examples.
Data analysis in research is an illustrative method of applying the right statistical or logical technique so that the raw data makes sense.
StatisticsNumericalCategoricalDichotomousThis first in the series on clinical research will focus on the basics of data – the types of data (with examples of a rheumatoid arthritis study) and how to numerically and graphically represent these. Knowing the types of data is indeed the first step ...
ANOVA tests in statistics packages are run on parametric data. If you have rank or ordered data, you’ll want to run a non-parametric ANOVA (usually found under a different heading in the software, like “nonparametric tests“).Steps
as abox-and-whisker plot). Like pivot tables, boxplots are useful for visualizing a dataset’s key statistics. We can use them to represent minimum and maximum values, the median value, and the lower and upper quartiles (i.e. the median of the lower and upper halves of the data). ...