Load the Sample Data
Estimated Time to Complete: 10 minutes
Prerequisites
To complete this tutorial you will need a MongoDB Atlas cluster. Refer to the Create a Cluster documentation for instructions on creating an Atlas cluster.
Load the Sample Data into Your Atlas Cluster
Atlas provides sample data you can load into your Atlas cluster. To load sample data into your cluster:
1
Log in to Atlas.
Log in to your Atlas account at https://cloud.mongodb.com.
2
Navigate to your Atlas Database Deployments view.
Click Database in the sidebar.
3
Load the sample dataset.
Click the Ellipses (...) button for your cluster.
Click Load Sample Dataset.
Atlas begins loading your sample data. This operation takes approximately 5 minutes to complete.
The following is a sample document from the dataset:
{ "_id": { "$oid": "573a1390f29313caabcd413b" }, "title": "The Arrival of a Train", "year": { "$numberInt": "1896" }, "runtime": { "$numberInt": "1" }, "released": { "$date": { "$numberLong": "-2335219200000" } }, "poster": "http://ia.media-imdb.com/images/M/ MV5BMjEyNDk5MDYzOV5BMl5BanBnXkFtZTgwNjIxMTEwMzE@._V1_SX300.jpg", "plot": "A group of people are standing in a straight line along the platform of a railway station, waiting for a train, which is seen coming at some distance. When the train stops at the platform, ...", "fullplot": "A group of people are standing in a straight line along the platform of a railway station, waiting for a train, which is seen coming at some distance. When the train stops at the platform, the line dissolves. The doors of the railway-cars open, and people on the platform help passengers to get off.", "lastupdated": "2015-08-15 00:02:53.443000000", "type": "movie", "directors": [ "Auguste Lumière", "Louis Lumière" ], "imdb": { "rating": { "$numberDouble": "7.3" }, "votes": { "$numberInt": "5043" }, "id": { "$numberInt": "12" } }, "countries": [ "France" ], "genres": [ "Documentary", "Short" ], "tomatoes": { "viewer": { "rating": { "$numberDouble": "3.7" }, "numReviews": { "$numberInt": "59" } }, "lastUpdated": { "$date": { "$numberLong": "1441993589000" } } }, "num_mflix_comments": { "$numberInt": "1" } }
Next Steps
Now that you have a data source in Charts, you can Create a New Dashboard which will hold the visualizations.