list of corporations by market capitalization
among the corporations with the greatest market capitalization , only toyota motor corporation is headquartered in japan .
{'scope': 'all', 'row': '9', 'col': '3', 'col_other': '2', 'criterion': 'equal', 'value': 'japan', 'subset': None}
{'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'headquarters', 'japan'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose headquarters record fuzzily matches to japan .', 'tostr': 'filter_eq { all_rows ; headquarters ; japan }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; headquarters ; japan } }', 'tointer': 'select the rows whose headquarters record fuzzily matches to japan . there is only one such row in the table .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'headquarters', 'japan'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose headquarters record fuzzily matches to japan .', 'tostr': 'filter_eq { all_rows ; headquarters ; japan }'}, 'name'], 'result': 'toyota motor corporation', 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; headquarters ; japan } ; name }'}, 'toyota motor corporation'], 'result': True, 'ind': 3, 'tostr': 'eq { hop { filter_eq { all_rows ; headquarters ; japan } ; name } ; toyota motor corporation }', 'tointer': 'the name record of this unqiue row is toyota motor corporation .'}], 'result': True, 'ind': 4, 'tostr': 'and { only { filter_eq { all_rows ; headquarters ; japan } } ; eq { hop { filter_eq { all_rows ; headquarters ; japan } ; name } ; toyota motor corporation } } = true', 'tointer': 'select the rows whose headquarters record fuzzily matches to japan . there is only one such row in the table . the name record of this unqiue row is toyota motor corporation .'}
and { only { filter_eq { all_rows ; headquarters ; japan } } ; eq { hop { filter_eq { all_rows ; headquarters ; japan } ; name } ; toyota motor corporation } } = true
select the rows whose headquarters record fuzzily matches to japan . there is only one such row in the table . the name record of this unqiue row is toyota motor corporation .
{'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'headquarters_7': 'headquarters', 'Japan_8': 'japan', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'name_9': 'name', 'toyota motor corporation_10': 'toyota motor corporation'}
['rank', 'name', 'headquarters', 'industry', 'market value ( usd million )']
[['1', 'exxon mobil', 'united states', 'oil and gas', '371631'], ['2', 'general electric', 'united states', 'conglomerate', '362527'], ['3', 'microsoft', 'united states', 'software industry', '281171'], ['4', 'citigroup', 'united states', 'banking', '238935'], ['5', 'bp', 'united kingdom', 'oil and gas', '233260'], ['6', 'bank of america', 'united states', 'banking', '211706'], ['7', 'royal dutch shell', 'the netherlands', 'oil and gas', '211280'], ['8', 'wal - mart', 'united states', 'retail', '196860'], ['9', 'toyota motor corporation', 'japan', 'automotive', '196731'], ['10', 'gazprom', 'russia', 'oil and gas', '196339']]