Statistics

Example

>>> from techminer2.database.tools import Statistics
>>> df = (
...     Statistics()
...     #
...     .with_field("author_keywords_raw")
...     #
...     .where_root_directory("examples/fintech/")
...     .where_database("main")
...     .where_record_years_range(None, None)
...     .where_record_citations_range(None, None)
...     #
...     .run()
... )
>>> df.head() 
                     conference_code                ...    year
                               count      mean std  ...     50%     75%     max
author_keywords_raw                                 ...
ACTOR_NETWORK_THEORY             0.0       NaN NaN  ...  2016.0  2016.0  2016.0
ACTUALIZATION                    0.0       NaN NaN  ...  2019.0  2019.0  2019.0
ADOPTION                         0.0       NaN NaN  ...  2019.0  2019.0  2019.0
AGRICULTURE                      1.0  144694.0 NaN  ...  2019.0  2019.0  2019.0
AGROPAY                          1.0  144694.0 NaN  ...  2019.0  2019.0  2019.0

[5 rows x 88 columns]