Generating Insights With Gapminder

Posted by Ashley Bradetich Bowles

Apr 30

Exploring the Correlation between Adult Literacy Rates and Life Expectancy

Overview

Using Gapminder longitudinal research, I explored the relationship between literacy rates in adults 15 years of age and above, and life expectancy in years.  The results were presented in a scatterplot graph, which depicted a positive, nonlinear relationship between the two variables.  Generally speaking, the greater the literacy rate, the greater the life expectancy.  Most countries followed this pattern, with a few outliers as the exception to the rule.  The graph in Figure 1 below was created using the Gapminder software.  Literacy rate, adult total (% of people ages 15 and above) is represented on the X-axis, and Life Expectancy (years) is represented on the Y-axis.  The size of the plots on the graph is dictated by the countries’ populations.  A correlation between the two variables is distinctly visible.

Relationship between Literacy and Life Expectancy
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Topic Categories: Gapminder, Information Visualization

Learning NodeXL: Friendship & Party Invitation Sociogram

Posted by Ann Schultz

Apr 27

Analysis of Findings

Social network analysis is the application of the broader field of network science to the study of human relationships and connections (Hansen, Shneiderman, & Smith, 2011, p. 4).”  Networks are “collection[s] of things and their relationships to one another.  The 'things' that are connected are called nodes, vertices, entities, and in some contexts, people - refer to Figure 1.  The connections between the vertices are called edges, ties, and links - refer to Figure 2 (Hansen, Shneiderman, & Smith, 2011, p. 31).”  Social networks are formed “whenever people interact, directly or indirectly, with other people, institutions, and artifacts (Hansen, Shneiderman, & Smith, 2011, p. 31-32).” 

NodeXL Vertices
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Topic Categories: Information Visualization, Social Network Analysis, NodeXL

Analytics for Twitter: Comedians of Twitter

Posted by Jacob Hunter

Apr 20

Introduction

Several years ago, a friend of mine tried to convince me to use Twitter by claiming that the service was mostly populated by comedians sharing jokes and trying to “one-up” one another. As a listener to a number of comedy podcasts and having recently attended Gilda’s LaughFest in Grand Rapids, Michigan last March, I thought I’d use Twitter Analytics to examine how comedians use Twitter and what Twitter Analytics can tell us about why they use do so.

Tweets by Day 1
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Topic Categories: Twitter, social media, Analytics for Twitter, Excel, PowerPivot

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