In this lab, you will learn about creating plotly charts using plotly.graph_objects and plotly.express.
Learn more about:
- Plotly python
- Plotly Graph Objects
- Plotly Express
- Handling data using Pandas
We will be using the airline dataset from Data Asset eXchange.
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.
Preview data, dataset metadata, and data glossary here.
Congratulations for completing this lab.
In this lab, you have learnt how to use plotly.graph_objects and plotly.express for creating plots and charts.