* Bump pandas 1.4 and pyarrow 6
* Use engine="pyarrow" for pd.read_csv()
* Refactoring
* Refactoring
* Refactoring
* Use bytes in pd.read_json()
* Fix test_contribution
* Fix pandas issue when 'arrays' are empty but 'names' contain values
* fix: ValueError: For argument "ascending" expected type bool, received type NoneType.
* Remove engine="pyarrow" and convert bytes to string
* make copy of selected df to fix regression
* Simplify pd.read_json() and pd.read_csv() for example data
Co-authored-by: Ville Brofeldt <ville.brofeldt@apple.com>
* fix: set correct schema on config import
* Fix lint
* Fix test
* Fix tests
* Fix another test
* Fix another test
* Fix base test
* Add helper function
* Fix examples
* Fix test
* Fix test
* Fixing more tests
* feat(explore): new datasets have autocomplete filters enabled if UX_BETA is set
* Lint fix
* Set autocomplete to True in example datasets
* Use "IN" as a default operator in dnd filters
* Default operator only if UX_BETA enabled
* [WiP] improve load_examples
related to #7472, longer term we will generate the examples by exporting
them into tarball as in #7472. In the meantime, we need this subset of
the features:
* allowing specifying an alternate database connection for examples
* allowing a --only-metadata flag to `load_examples` to load only
dashboard and chart definitions, no actual data is loaded
* Improve logging
* Rename data->examples
* Load only if not exist
* By default do not load, add a force flag
* fix build
* set published to true
