DOC update remaining gallery examples to load datasets from paths

[MuditAtrey]

Description

Part of #1934.

Updates the remaining gallery examples to load datasets from file paths
instead of accessing dataframes directly from the bunch object, following
the pattern established in #1852 and #1940.

Files changed:

• examples/FIXME/07_grid_searching_with_the_tablevectorizer.py
• examples/data_ops/1110_data_ops_intro.py

Note: examples/FIXME/08_join_aggregation_full.py uses fetch_figshare
which is no longer available in the codebase, which is why I left it untouched.

Checklist

• I have read the contributing guidelines
• I have added tests that verify the bug fix
• I have added an entry to CHANGES.rst describing the fix
• My code follows the code style of this project
• I have checked my code and corrected any misspellings

How Has This Been Tested?

pre-commit run --all-files passes cleanly.
examples/FIXME/07_grid_searching_with_the_tablevectorizer.py runs without errors.
examples/data_ops/1110_data_ops_intro.py here data loads correctly from paths;
but a preexisting error downstream (ML pipeline) were unrelated to this PR.

AI Disclosure

• This PR contains AI-generated code
• I have tested the code generated in my PR
• I have read and understood every line that has been generated by the AI agent
• I can explain what the AI-generated code does

[MuditAtrey]

@rcap107 while updating 1110_data_ops_intro.py, I found that fetch_employee_salaries(split="test").employee_salaries_path points to an empty CSV meaning the dataframe is sliced to [id_split:] on line 71 and then sliced again when writing to the path on line 77. The fix does looks straightforward but wanted to confirm before touching _fetching.py.

[rcap107]

@rcap107 while updating 1110_data_ops_intro.py, I found that fetch_employee_salaries(split="test").employee_salaries_path points to an empty CSV meaning the dataframe is sliced to [id_split:] on line 71 and then sliced again when writing to the path on line 77. The fix does looks straightforward but wanted to confirm before touching _fetching.py.

Hi @MuditAtrey, yes you're right, there is an issue there. Please fix it and thanks

[rcap107]

Hi @MuditAtrey, thanks for the fix. Do you still need to do something with the PR, or can we switch it to ready for review?

[MuditAtrey]

@rcap107 was about to ask you the same, switch it to ready

[rcap107]

Looks good to me, thanks a lot @MuditAtrey