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Better Know a Visualization: Scatterplot

Juice Analytics

In 2010, I wrote: With enough visualization methods to warrant a periodic table , it can be confusing to know what to use and when—and which visualizations are even worth considering at all. Sadly, only two data visualization profiles emerged from that effort: Small Multiples & Parallel Coordinates.

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Academic Research Done on Arc Diagrams

The Data Visualisation Catalogue

Arc Diagrams: Visualizing Structure in Strings (2002) By Martin Wattenberg Topic: Data Visualisation. Thread Arcs: an email thread visualization (2003) By Bernard Kerr Topic: Data Visualisation. Visualising Bluetooth Interactions (2007) By Daragh Byrne, Barry Lavelle, Gareth J.F. Jones, Alan F. Smeaton Topic: Data Visualisation.

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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. Visualization tools help make the shape of the data more obvious, surface patterns that can easily hide in hundreds of rows of data, and can even assist in the modeling process itself. Interactive Data Visualization in Python. Introduction.

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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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Why Data Driven Decision Making is Your Path To Business Success

datapine

As a direct result, less IT support is required to produce reports, trends, visualizations, and insights that facilitate the data decision making process. This is a testament to the importance of online data visualization in decision making. Data driven business decisions make or break companies. The proof is in the numbers.

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Euro Soccer Special: What Football Teaches Us About Analytics

Sisense

It’s no surprise that rivals followed suit and that by 2010 analytics were widely used by top teams in leading international leagues. Heat map data visualizations have shown teams that keep possession of the ball and maintain high intensity are most likely to score goals and win games. Example of Sisense player performance dashboard.

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10 Best Big Data Analytics Tools You Need To Know in 2023

FineReport

Having visually appealing graphics can also increase user adoption. MongoDB MongoDB, which gained popularity in 2010, is a NoSQL document-oriented database platform that is free and open-source. Lumify Lumify is a Big Data Analytics tool that is open-source and widely used for analyzing and visualizing large datasets.