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Data Visualization Inspiration: Analysis To Insights To Action, Faster!

Occam's Razor

Like a vast majority on planet Earth, I love data visualizations. A day-to-day manifestation of this love is on my Google+ or Facebook profiles where 75% of my posts are related to my quick analysis and learnings from a visualization. Data visualized is data understood. But for a visual person like me, this is the ah-ha moment.

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Exploring US Real Estate Values with Python

Domino Data Lab

This post covers data exploration using machine learning and interactive plotting. Models are at the heart of data science. Data exploration is vital to model development and is particularly important at the start of any data science project. Interactive Data Visualization in Python. Introduction. fill=True,).:

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AI vs. BI for Business, What Do You Need?

Jet Global

AI, colloquially, is used to refer to a number of computer-powered business decision drivers, including automation (not AI), data modeling (not AI), and reporting and analytics (also not AI). Vision systems: Vision systems are capable of analyzing and interpreting visual images, such as aerial photographs, medical imaging, or product labels.

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Deep Learning Illustrated: Building Natural Language Processing Models

Domino Data Lab

The excerpt covers how to create word vectors and utilize them as an input into a deep learning model. While the field of computational linguistics, or Natural Language Processing (NLP), has been around for decades, the increased interest in and use of deep learning models has also propelled applications of NLP forward within industry.

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Further Exploration #12: 3D Treemap Cubes

The Data Visualisation Catalogue

The earliest writing I came across on 3D Treemaps was from Brain Johnson’s 1993 dissertation Treemaps : Visualizing Hierarchical and Categorical Data (see page 45, Figure 4.6). Point of view can be interactively controlled and users can fly through 3-D partitionings but global perspectives require external views of the entire hierarchy.

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Automate deployment of an Amazon QuickSight analysis connecting to an Amazon Redshift data warehouse with an AWS CloudFormation template

AWS Big Data

Amazon QuickSight is a fast business analytics service to build visualizations, perform ad hoc analysis, and quickly get business insights from your data. AWS CloudFormation helps you model and set up your AWS resources so you can spend less time managing those resources and more time focusing on your applications that run in AWS.

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Manipulating Data with dplyr

Domino Data Lab

Special thanks to Addison-Wesley Professional for permission to excerpt the following “Manipulating data with dplyr” chapter from the book, Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R. Select all rows from the 2008 election. Introduction.