One aspect of data visualization we all have been discovering over the years is that when we talk about data visualization we often think that the choice of which graphical representation to use is the most important one to make. However, deciding what to visualize is often equally, if not more, important, than deciding how to visualize it. The goal of this visualization was to engage readers in finding and telling their own stories in the data. Special thanks to Neil Richards for this wonderful creation.
A Pareto diagram is a simple bar chart that ranks related measures in decreasing order of occurrence. The principle was developed by Vilfredo Pareto, an Italian economist and sociologist who conducted a study in Europe in the early 1900s on wealth and poverty. He found that wealth was concentrated in the hands of the few and poverty in the hands of the many. The principle is based on the unequal distribution of things in the universe. It is the law of the “significant few versus the trivial many.” The significant few things will generally make up 80% of the whole, while the trivial many will make up about 20%.
Sometimes we have a requirement of coloring our bar chart depending on some reference value. Now if you highlight the bar chart above reference line, it suggests that the bar is composed of two parts instead of just being a single bar. One of the great things about Tableau is that you can get the same solution by “N” number of ways.
I have observed that people are often afraid of maths and find it difficult as a subject. This is due to lack of proper knowledge and clarification of mathematical concepts. My Love for the subject has grown over the years which led to this post. I always wanted to draw a human face in Tableau but I was not getting the mathematical equations which can generate a human face. Thanks to our Zen Master Ken Flerlage and mathematical artist HAMID NADERI YEGANEH who first showed us how to create any shape by using mathematical equation.
This is the first blog post from Kizley Benedict for all Tableaulearners. He was pleasantly surprised when his recent visualization on Sachin Tendulkar’s centuries was featured as Viz of the Day by Tableau. This one was special for him for a couple of reasons. First, this was his maiden attempt at cricket related visualization. Second, he had been thinking of creating a data portrait in Tableau for quite some time . He has always been fascinated with the idea of representing data on the human face. Enjoy this Blog post.
Data preparation is an iterative and very important process for exploring, combining, cleaning and transforming raw data into curated datasets for data integration, data science, data discovery and business intelligence analytics. Data preparation plays key role in businesses and any decision to make using data. Data preparation is made easy by using data preparation tools for analysts and so many businesses.In real life people spend upto 80% of time preparing data and 20% analyzing it
Data security is the main priority for organizations of every size and genre. In simple terms, we can say it’s a practice of keeping data protected from corruption and unauthorized access. The main focus of every organization is to ensure privacy while protecting personal or corporate data.The first step in protecting your enterprise's data privacy and security is to identify the types of information/data you want to protect and where that information is exposed in your organization.