Question

Why is Tableau ideal for exploratory data analysis?

Answer 1

answer:::-

The first of those occasions is amid the Exploratory Data Analysis (EDA) where you have at first got the information, cleaned it, arranged it, and made whatever different highlights you please for a decent spotless and full dataset.

Starting there you can start to see the connection between specific factors, the relationship (assuming any) among highlights, and create numerous more perception keeping in mind the end goal to all the more likely presentation the current information.

EDA is a way to deal with information investigation that uses an assortment of procedures, to a great extent visual, to: Maximize knowledge, uncover basic structure, check for anomalies, test suppositions, and decide ideal elements

It is a way to deal with investigation of your information that defers the typical suspicions of what sort of model ought to be utilized and rather enables the information to justify itself.

While genuinely basic simple to make the absolute most important composes two diagrams you can create while doing EDA are Histograms and Scatter plots

A histogram enables us to see the appropriation of a specific variable while a diffuse plot enables us to see a connection between at least two factors.