It is a common method of data visualization design to express the strength and size of the index value by the depth of the color. The user can see at a glance which part of the indicator data value is more prominent. Examples: a: Click Heatmap As shown below, via tracking mouse moveme...
In this article, we introduce and define seven types of data used in business, provide examples of each type, discuss a few of the professions that specialise in data use and explain the utility that data serves in the business sphere....
The ultimate guide to data visualization. Learn how to present data visually using data visualization techniques and best practices. Lots of examples.
In part 2 of the “how to model data” series, we answer the question “What are the different data model types” Take a look at various logical models, data model examples, their strengths and weaknesses, and pros and cons. Part 1 of this series covered the three steps of data ...
Learn about the different types of business models through examples and insights from real businesses in ecommerce, retail, wholesale, and more.
Qualitative vs. Quantitative: Types of Data with Examples The words are similar and easy to mix up, but an easy way to remember the difference between the two types of data is with a word trick –“quantitative” has at, like “quantity.” When we think of quantities, we think of numbe...
Quantitative Data Types with Examples There are two maintypes of quantitative data. They are: Discrete Continuous In simple terms, Discrete data is countable and Continuous data is measurable. Let’s explore the two types of data in detail. ...
Learn about the types of cloud computing technology and how it transforms businesses with scalable, on-demand computing resources.
So while the average of the data might be 65 out of 100, there can still be data points at both 1 and 100. Measures of variability help communicate this by describing the shape and spread of the data set. Range,quartiles, absolute deviation, and variance are all examples of measures of...
The sum of squares measures how widely a set of data points is spread out from themean. It is also known as variation. It is calculated by adding together the squared differences of each data point. To determine the sum of squares, square the distance between each data point and the line...