…#621)

…m Google Analytics data tutorial (#623)

BigQuery DataFrames sample for [Step two (optional): Visualize the time series you want to forecast](https://cloud.google.com/bigquery/docs/arima-single-time-series-forecasting-tutorial#step_two_optional_visualize_the_time_series_you_want_to_forecast).

Co-authored-by: Salem Boyland <[email protected]>
Co-authored-by: Tim Sweña (Swast) <[email protected]>

* fix: keep most relevant dtype for aggregates

* add aggregate tests for bool result

* refactor and reuse dtypes.lcd_dtype

* check_dtype=False

This ensures the cached `primary_keys` is more likely to be
correct, in case the user called ALTER TABLE after we originally
cached the snapshot time.

* feat: support the score method for PaLM2TextGenerator

* address comments

* address additional comments

* address minor comments

* fix: Allow to_pandas to download more than 10GB

* remove unecessary line

* feat: expose gcf max timeout in `remote_function`

* remove duplicate test case from parametrize

* fix: Extend row hash to 128 bits to guarantee unique row id

* decide hash size based on row count

* fix read_gbq tests

* handle unknown row_num

* feat: allow single input type in `remote_function`

* say sequence instead of list in the remote_function docstring

* fix more doc

Thank you for opening a Pull Request! Before submitting your PR, there are a few things you can do to make sure it goes smoothly:
- [ ] Make sure to open an issue as a [bug/issue](https://togithub.com/googleapis/python-bigquery-dataframes/issues/new/choose) before writing your code!  That way we can discuss the change, evaluate designs, and agree on the general idea
- [ ] Ensure the tests and linter pass
- [ ] Code coverage does not decrease (if any source code was changed)
- [ ] Appropriate docs were updated (if necessary)

Fixes internal # 336527025🦕

Co-authored-by: release-please[bot] <55107282+release-please[bot]@users.noreply.github.com>