{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/131343d637ce43feb03cafe3ed0d693b\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/131343d637ce43feb03cafe3ed0d693b-010507ca4f72af45.gif","duration":294.439,"title":"Automated Gender Diversity Profiler Overview 📊","description":"In today's video, I walk you through our automated third gender diversity profiler workflow. We process user information for up to 500 users, but we limit it to 50 at a time, looping through the data to determine gender based on names from another website. The results show that we have 400 female and 100 male authors, which we visualize in a pie chart for easy interpretation. I encourage you to review the output and think about how we can further utilize this data to enhance our diversity initiatives."}