R Tutorial: Plotting DataCamp HQ

Want to learn more? Take the full course at https://learn.datacamp.com/courses/interactive-maps-with-leaflet-in-r at your own pace. More than a video, you'll learn hands-on coding & quickly apply skills to your daily work. --- We have been creating maps with a single layer: a base map. To plot data on our maps, we can add layers to the base map similar to how you add a layer in ggplot2. One of the most common layers to add are location markers, which you can add by piping the result of addTiles() into the addMarkers() function. There are several options for supplying the data for your markers. We'll focus on two approaches: using numeric columns from a data frame and using numeric vectors with a length of 1. For example, if we plot DataCamp's New York headquarters by passing the coordinates to addMarkers() as numeric vectors with one element, our web map will plot a blue pin. You may have noticed that our map is zoomed in, but we didn't use the setView or fitBounds(). When you add markers to your map without setting the view, leaflet will automatically set the boundaries of the base map based on the markers that you're plotting. If you're plotting a single marker, leaflet will center the map on that marker. If you're plotting multiple markers, leaflet will set the bounds so that they're all visible. If you want to add multiple markers, we can use a data frame or a tibble to pass the coordinates to the addMarkers() function. For example, to plot both DataCamp’s New York and Belgium offices, we can use a tibble with the coordinates in our addMarkers() function call. An alternate approach to mapping points from a data frame is to pipe the data. Then addMarkers() will search the columns names for names that are most likely your coordinates and the leaflet package will send you a message to let you know if a match was found. It is often helpful to provide users with information about the points we have mapped. A common way to do this is by adding pop-ups that wil