{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/fa81ef93bda0472d9013ca632401d89b\" 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/fa81ef93bda0472d9013ca632401d89b-00001.gif","duration":503.10300000000007,"title":"Attributes and Importing Data: Methods and Tips","description":"In this video, I will discuss two methods for importing data into our system: using a CSV file and performing a cleanup exercise. I will explain where to find the data and how it can be populated from different sources. Additionally, I will demonstrate how to clean up attribute labels and merge categories to ensure clean data for analytics. I will also provide tips on exporting and cleaning data in CSV format. Finally, I will guide you through the process of mapping and importing the data into our platform, including handling duplicate records and creating new attribute labels."}