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.
Bar charts can be used in many situations to compare categorical data in a highly effective, easy to understand manner. In this video, we’ll look at simple bar charts, as well as stacked charts, sparkbars, and small multiple bar charts.
Box plots facilitate the summarization of the same sort of data we will often display using distribution plots. In this video, we’ll discuss and examine how to use box plots for showing aggregate patterns and key statistical distribution metrics.
This video will focus on the building of a network graph, using the type of dataset created in the previous video. We will have a brief look at network structure, layout algorithms, and graph statistics.
Packt has been committed to developer learning since 2004. A lot has changed in software since then - but Packt has remained responsive to these changes, continuing to look forward at the trends and tools defining the way we work and live. And how to put them to work.
With an extensive library of content - more than 4000 books and video courses -Packt's mission is to help developers stay relevant in a rapidly changing world. From new web frameworks and programming languages, to cutting edge data analytics, and DevOps, Packt takes software professionals in every field to what's important to them now.
From skills that will help you to develop and future proof your career to immediate solutions to every day tech challenges, Packt is a go-to resource to make you a better, smarter developer.
Packt Udemy courses continue this tradition, bringing you comprehensive yet concise video courses straight from the experts.