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• Every Jupyter hotkey should tracked for their usage respectively [ESTIMATE: 1 day]
• Telemetry should be added to the mouse actions in each cell to track their usage [ESTIMATE: 1 day]
o Add cell
o Delete cell
o Move cell up
o Move cell down
o Run cell
o Change cell to markdown
o Collapse code input
o Collapse code output
• Telemetry should be added to track how many users click the “Save as Python file” from the native Jupyter window [ESTIMATE: 1 day for the rest]
• Telemetry should be added to track how many users click the “Save as Notebook file” from the Python interactive window
• Telemetry should be added to track how many users opened the native Jupyter experience
• Telemetry should be added to track how many users have .ipynb files in the workspace
o Of the users that have .ipynb files, what percentage of them open up the native Jupyter window
• Of those users, how many of them opened it a second day in the same month
• Percentage of people that only view (i.e only run code but don’t edit it) notebooks vs. edit them
• What do users do after they are done with their notebook?
• Telemetry should be added to track the average time it takes to load the ipynb files
The text was updated successfully, but these errors were encountered:
Mouse use to move cell up / down (on the cell itself)
Mouse use to run a cell
Change cell to markdown and back
Telemetry for each action in the global toolbar.
The following should be tracked in a separate issue:
• Telemetry should be added to track how many users opened the native Jupyter experience
• Telemetry should be added to track how many users have .ipynb files in the workspace
Stuff to track
• Every Jupyter hotkey should tracked for their usage respectively [ESTIMATE: 1 day]
• Telemetry should be added to the mouse actions in each cell to track their usage [ESTIMATE: 1 day]
o Add cell
o Delete cell
o Move cell up
o Move cell down
o Run cell
o Change cell to markdown
o Collapse code input
o Collapse code output
• Telemetry should be added to track how many users click the “Save as Python file” from the native Jupyter window [ESTIMATE: 1 day for the rest]
• Telemetry should be added to track how many users click the “Save as Notebook file” from the Python interactive window
• Telemetry should be added to track how many users opened the native Jupyter experience
• Telemetry should be added to track how many users have .ipynb files in the workspace
o Of the users that have .ipynb files, what percentage of them open up the native Jupyter window
• Of those users, how many of them opened it a second day in the same month
• Percentage of people that only view (i.e only run code but don’t edit it) notebooks vs. edit them
• What do users do after they are done with their notebook?
• Telemetry should be added to track the average time it takes to load the ipynb files
The text was updated successfully, but these errors were encountered: