Volume Estimates ================ Accurate volume estimates are based on the Snapshot Explain operation. This operation returns the exact number of matching articles in the archive. .. code-block:: python from factiva.analytics import SnapshotExplain where_str = "publication_datetime >= '2020-01-01' AND language_code = 'en' AND REGEXP_CONTAINS(industry_codes, r'(?i)(^|,)(i1|i25121|i2567)($|,)')" se = SnapshotExplain(query=where_str) se.process_job() print(f"The query matches {se.job_results.volume_estimate} articles") .. code-block:: The query matches 123456 articles Using the same Snapshot Explain object, you can also get metadata samples. .. code-block:: python se.get_samples() print(se.samples.data[['word_count', 'title', 'source_code']]) The object ``se.samples.data`` is a pandas DataFrame. .. code-block:: word_count title source_code 0 110 Maire Tecnimont shares gain after India contract SOLRADIN 1 147 Poste Italiane begins offering electricity, ga... SOLRADIN 2 219 Constellation Energy inks PPA with Microsoft f... SOLRADIN 3 25 EDF now sees Hinkley Point C IRR 7.1-7.2% vs 7... SOLRADIN 4 131 Derivatives stock options: summary by title SOLRADIN .. ... ... ... 95 775 Atlantic Power and Infrastructure Installs Tre... ACWIRE 96 249 Quebec Precious Metals Corporation Announces R... ACWIRE 97 503 Shareholders that lost money on Plug Power Inc... ACWIRE 98 1572 Tenth Avenue Petroleum Announces Third Quarter... ACWIRE 99 187 Challenging Ourselves To Lead in Sustainable E... ACWIRE When volume estimates are in line with your expectations, you can proceed to analyze the data using the Snapshot TimeSeries operation, or directly extract the content via the Snapshot Extract operation.