In this article, we will look at the basics of docker and what’s the advantage of using it. What is Docker? Docker is an open-source platform for developing, running and shipping applications. This was developed by Docker, Inc in the year 2013. It’s a platform as a service (PaaS) product that use OS-level virtualisation to
Data in the real world is not of good quality. It will have incorrect data due to human error, transmission error, collection error etc. We will look at the data quality errors and how to handle those error in detail. Error could be because Lacking attribute values eg. Age =”” Containing noise, outliers eg. Age
In this article, we will look at the details of CRISP-DM methodology. It stands for “CRoss- Industry Standard Process for Data Mining”. This is the process model that is base for data science projects. It is an open standard process model that describes common approaches used by data mining experts. CRISP-DM was conceived in 1996
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
One of the key aspects of design is understanding the classification of data which enables doing exploratory analysis, choosing chart types and layout decisions. Data classifications are below 1. Qualitative 2. Quantitative 1. Qualitative: Textual: It’s unstructured stream of data Example: Nominal: It’s categorical data offering means of distinguishing, labelling and organising values . Its
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.
Data plays vital role and bcoming irreplaceable in the organisation irrespective of how big or small it is . Data is available everywhere (internally, externally ) . It provides information and insights for business. Organisation understand, manage and process data to get useful information and insights for making business decisions. There are three types of