Column Chart

>>> from techminer2.report import column_chart
>>> chart = column_chart(
...     #
...     # ITEMS PARAMS:
...     field='author_keywords',
...     top_n=20,
...     occ_range=(None, None),
...     gc_range=(None, None),
...     custom_terms=None,
...     #
...     metric="OCC",
...     #
...     # CHART PARAMS:
...     title="Most Frequent Author Keywords",
...     metric_label=None,
...     field_label=None,
...     #
...     # DATABASE PARAMS:
...     root_dir="example/",
...     database="main",
...     year_filter=(None, None),
...     cited_by_filter=(None, None),
... )
>>> # chart.fig_.write_html("sphinx/_static/report/column_chart.html")

>>> chart.df_.head()
                      rank_occ  OCC
author_keywords
FINTECH                      1   31
INNOVATION                   2    7
FINANCIAL_SERVICES           3    4
FINANCIAL_INCLUSION          4    3
FINANCIAL_TECHNOLOGY         5    3

>>> print(chart.prompt_) 
Your task is ...