In this article, we will look at the stages of big data analytics lifecycle in detail. Below diagram depicts the 9 stages of big data analytics. Stage 1: Business Case Evaluation In this stage, based on business requirements need to evaluate whether the business problems being addressed is really big data problem. Business
It determines what information catches attention of viewers. This is very important in visualisation as we can get viewers attention to the most important information in our visual. Preattentive attributes types are below These are strategically used to The 12 preattentive attributes are given below with examples which are used in data visualisation Visual form
Gestaltism provide us a framework/set of laws for explaining how human perception works. Its about how humans sees/perceives world around us and extract patterns, derive conclusions from it. In 1920s, a group of German psychologists developed theories around how people perceive the world around them and it’s called Gestalt principles. They believed that humans tend
There are different types of charts which will be helpful in visualizing the data .Let’s take a look at the types and when we should use those charts in detail. Types of charts : 1. Simple Text Just because we have numbers doesn’t mean we have to always use chart. It can be represented with
Data visualization is nothing but representation and presentation of data to facilitate understanding. Data is usually textual and numeric in format which is typically datasets in table form. This form is data is raw data and one can interpret them efficiently as individual datapoints but can’t do comparative analysis & relationship between the data points.