DZone

Introduction

Being someone who works in the field of data visualization, I have seen my colleagues have ‘the talk’ with customers about data preparation all too often. It’s a common pain point for anyone who needs a layer of analytics and visualizations for the data they’ve accumulated. It’s perfectly normal to arrive at this stage only to notice that data is distributed across different places, they don’t match in some cases, and overall look messy. 

Luckily, there are plenty of tools to help unify and clean data in a meaningful way. In this article, I’ve decided to demonstrate how such a tool would work together with a data visualization tool. I’ve decided to use Cumul.io (get a free trial) as my data visualization technology, and Panoply.io (get a free trial) as our data modeling tool.

Source: DZone