let
    Source = Python.Execute("#(lf)import pandas as pd#(lf)#(lf)StatementData = pd.read_csv('https://huggingface.co/datasets/DenyTranDFW/MiscData/resolve/main/MiscFinancials/StatementData.tsv?download=true', sep='\t')"),
    StatementData1 = Source{[Name="StatementData"]}[Value],
    #"Changed Type" = Table.TransformColumnTypes(StatementData1,{{"DATENUM", Int64.Type}, {"COMPANYID", Int64.Type}, {"VALUE", type number}, {"LINEID", Int64.Type}, {"DATE", type date}}),
    #"Filtered Rows" = Table.SelectRows(#"Changed Type", each ([DATE] <> #date(2008, 6, 30) and [DATE] <> #date(2008, 7, 31) and [DATE] <> #date(2008, 9, 30) and [DATE] <> #date(2008, 10, 31) and [DATE] <> #date(2008, 12, 31) and [DATE] <> #date(2018, 1, 31) and [DATE] <> #date(2018, 3, 31) and [DATE] <> #date(2018, 4, 30) and [DATE] <> #date(2018, 6, 30) and [DATE] <> #date(2018, 7, 31) and [DATE] <> #date(2018, 9, 30) and [DATE] <> #date(2018, 10, 31)))
in
    #"Filtered Rows"