Update the tutorial of "Visualise pipelines"

[dinotuku]

Description

I found some small things that could be changed when following the tutorial.

Development notes

• Change three .csv files (preprocessed_companies.csv, preprocessed_shuttles.csv, model_input_table.csv) to parquet files (preprocessed_companies.pq, preprocessed_shuttles.pq, model_input_table.pq) so that they matched how they were specified in the previous article (Create a pipeline -> Persist pre-processed data and Create a pipeline -> Persist the model input table)
• Change the corresponding data types from pandas.CSVDataSet to pandas.ParquetDataSet
• Add a missing import, import plotly.graph_objs as go, for the example using plotly.JSONDataSet
• Add a note for installing seaborn in case it is not yet installed (This line is from the later tutorial page, Set up experiment tracking -> View and compare plot data)

Checklist

• Read the contributing guidelines
• Opened this PR as a 'Draft Pull Request' if it is work-in-progress
• Updated the documentation to reflect the code changes
• Added a description of this change in the RELEASE.md file
• Added tests to cover my changes

[noklam]

@dinotuku Thank you for flagging this, it does look like an inconsistency to me, you may also want to update the dataset as a parquet dataset in this case.

[dinotuku]

@dinotuku Thank you for flagging this, it does look like an inconsistency to me, you may also want to update the dataset as a parquet dataset in this case.

Thanks! I will update it with a new commit.

[dinotuku]

For some reason, this link (https://github.com/Raalsky) is broken (500 Server Error: Internal Server Error) 😕

[merelcht]

Great catch! 🦅 Thanks for your contribution! 😄

[noklam]

thank you for catching this!