- How to embed a "live" web page in WordPress blog posts
- A color palette optimized for data visualization
- Five shot sequence: Tutorial and example
- Why data visualization matters?
- Who has the best geocoding tool for heat map - Tableau, Mapbox or Google Fusion Tables?
- Google maps tutorial (part 5/5): How to create a free heat map with Google Fusion Tables
- Google maps tutorial (part 1/5): What Fusion Tables is and does
- How to embed video and photo in a Google interactive map
- Location- and time-based storytelling: Interactive maps with embedded photo, video and texts
- A primer for journalism students: What is digital-first strategy?
Category of blog posts
Category Archives: Metrics & Analytics
Instructors preparing for a Google Analytics training session can create self-paced, interactive quizzes to help students navigate the complex interface of a Google Analytics account.
A national survey reveals seven top web metrics that top-level U.S. editors monitor; journalists and journalism students should learn how to read and interpret these key performance indicators, as well as the limitations of each metric.
I want to share a list of readings that I compiled for the introduction session of my Web Analytics open course; the list may be of use to instructors teaching web analytics; suggestions for additional readings are always welcomed.
A survey of 114 top-level news editors shows widespread use of web metrics in U.S. newsrooms and this means j-schools need to add metrics and analytics as part of the changing journalism curriculum.
Many communication instructors do not have prior expertise in web metrics, which is a new and increasingly important skill for today’s communication workers. Here’s some advice and resources that may help an instructor prepare, structure and teach courses in web … Continue reading
Essential web analytics knowledge for journalism students: Understanding key Google Analytics reports for content management
As future content producers or managers, journalism students should learn to analyze relevant Google Analytics reports of key performance indicators (KPIs) such as bounce rate, average time on site, pageviews per visit, new vs returning visitors, and recency.