You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: README.md
+6Lines changed: 6 additions & 0 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -19,3 +19,9 @@ We will be using the [airline dataset](https://developer.ibm.com/exchanges/data/
19
19
The Reporting Carrier On-Time Performance Dataset contains information on approximately 200 million domestic US flights reported to the United States Bureau of Transportation Statistics. The dataset contains basic information about each flight (such as date, time, departure airport, arrival airport) and, if applicable, the amount of time the flight was delayed and information about the reason for the delay. This dataset can be used to predict the likelihood of a flight arriving on time.
20
20
21
21
Preview data, dataset metadata, and data glossary [here.](https://dax-cdn.cdn.appdomain.cloud/dax-airline/1.0.1/data-preview/index.html)
22
+
23
+
## Summary
24
+
25
+
Congratulations for completing your first lab.
26
+
27
+
In this lab, you have learnt how to use `plotly.graph_objects` and `plotly.express` for creating plots and charts.
0 commit comments