This course will focus on
building a variety of data visualizations using multiple tools and
techniques. This is where we will put the theory together with actual
hands-on experience of creating effective visualizations. Our efforts
will be spent on choosing the best display types for our dataset, and
then applying best practice principles to our selected charts, maps, or
network graphs. We’ll spend considerable time on some of the most useful
chart types, followed by a section where we explore the multiple uses
of maps as visualizations. Our final section focuses on understanding
network graphs, a powerful tool for displaying relationship data.
About The Author
Ken Cherven has
been creating data visualizations for more than 10 years using a variety
of tools, including Excel, Tableau, Cognos, D3, Gephi, Sigma.js, and
Exhibit, along with geospatial tools such as Mapbox, Carto, and QGIS.
Tableau is used on a daily basis in his current position, where he has
built dozens of performance dashboards to track both marketing and
operational metrics. He has also built many visualizations for his
personal websites, especially utilizing Gephi and Sigma.js to explore
and visualize network data.
He is very interested in
tools related to the exploration of network data, typically using Gephi
for most of his current output. Text analysis is also an area of
interest, where he’s used tools such as Aylien, RapidMiner, R, and
Exploratory to begin understanding and visualizing underlying patterns
in political speeches, email transmissions, and book content.His
experience in building data visualizations has intersected with many
technologies, including a variety of SQL-based tools and languages
including Oracle, MySQL, and SQLServer.
He frequently edits and
styles network information using HTML and CSS, along with a bit of
JavaScript. He is also highly engaged in the world of data
visualization, including but not limited to his daily work experience.
His work is based on a thorough understanding of visualization
principles learned through extensive reading and practice. He also uses
his websites to display and promote visualizations, which he shares with
a wider audience. He has previously authored two books on Gephi for
Packt, and has also presented at multiple data visualization
conferences.
