{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/e2ba6d12f79343de8ed869838cb71288\" frameborder=\"0\" width=\"1758\" height=\"1318\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1318,"width":1758,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1318,"thumbnail_width":1758,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/e2ba6d12f79343de8ed869838cb71288-0d1e3de6b6f019e4.gif","duration":288.14,"title":"Symbol Map Part 1","description":"In this video, I walk you through the process of creating a simple map using Data Wrapper, focusing on air pollution data from cities in Asia for the year 2019. I sourced this data from stateofglobalair.org, which provides PM2.5 pollution levels. We’ll select a basemap of Asia, input our prepared data, and match the relevant columns for city names, latitude, longitude, population, and pollution values. I encourage you to follow along and replicate this mapping process with your own data. Let’s get started!"}