list of districts of west bengal
kolkata is the only district in west bengal that has a negative growth rate .
{'scope': 'all', 'row': '10', 'col': '4', 'col_other': '2', 'criterion': 'less_than', 'value': '0', 'subset': None}
{'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_less', 'args': ['all_rows', 'growth rate', '0'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose growth rate record is less than 0 .', 'tostr': 'filter_less { all_rows ; growth rate ; 0 }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_less { all_rows ; growth rate ; 0 } }', 'tointer': 'select the rows whose growth rate record is less than 0 . there is only one such row in the table .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_less', 'args': ['all_rows', 'growth rate', '0'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose growth rate record is less than 0 .', 'tostr': 'filter_less { all_rows ; growth rate ; 0 }'}, 'district'], 'result': 'kolkata', 'ind': 2, 'tostr': 'hop { filter_less { all_rows ; growth rate ; 0 } ; district }'}, 'kolkata'], 'result': True, 'ind': 3, 'tostr': 'eq { hop { filter_less { all_rows ; growth rate ; 0 } ; district } ; kolkata }', 'tointer': 'the district record of this unqiue row is kolkata .'}], 'result': True, 'ind': 4, 'tostr': 'and { only { filter_less { all_rows ; growth rate ; 0 } } ; eq { hop { filter_less { all_rows ; growth rate ; 0 } ; district } ; kolkata } } = true', 'tointer': 'select the rows whose growth rate record is less than 0 . there is only one such row in the table . the district record of this unqiue row is kolkata .'}
and { only { filter_less { all_rows ; growth rate ; 0 } } ; eq { hop { filter_less { all_rows ; growth rate ; 0 } ; district } ; kolkata } } = true
select the rows whose growth rate record is less than 0 . there is only one such row in the table . the district record of this unqiue row is kolkata .
{'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_less_0': 'filter_less', 'all_rows_6': 'all_rows', 'growth rate_7': 'growth rate', '0_8': '0', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'district_9': 'district', 'kolkata_10': 'kolkata'}
['rank', 'district', 'population', 'growth rate', 'sex ratio', 'literacy', 'density / km']
[['2', 'north 24 parganas', '10082852', '12.86', '949', '84.95', '2463'], ['6', 'south 24 parganas', '8153176', '18.05', '949', '78.57', '819'], ['7', 'barddhaman', '7723663', '12.01', '943', '77.15', '1100'], ['9', 'murshidabad', '7102430', '21.07', '957', '67.53', '1334'], ['14', 'west midnapore', '5943300', '14.44', '960', '79.04', '636'], ['16', 'hooghly', '5520389', '9.49', '958', '82.55', '1753'], ['18', 'nadia', '5168488', '12.24', '947', '75.58', '1316'], ['20', 'east midnapore', '5094238', '15.32', '936', '87.66', '1076'], ['23', 'haora', '4841638', '13.31', '935', '83.85', '3300'], ['35', 'kolkata', '4486679', '- 1.88', '899', '87.14', '24252'], ['58', 'maldah', '3997970', '21.50', '939', '62.71', '1071'], ['66', 'jalpaiguri', '3869675', '13.77', '954', '73.79', '621'], ['80', 'bankura', '3596292', '12.64', '954', '70.95', '523'], ['84', 'birbhum', '3502387', '16.15', '956', '70.90', '771'], ['124', 'north dinajpur', '3000849', '22.90', '936', '60.13', '956'], ['129', 'puruliya', '2927965', '15.43', '955', '65.38', '468'], ['136', 'kochbihar', '2822780', '13.86', '942', '75.49', '833'], ['257', 'darjiling', '1842034', '14.47', '971', '79.92', '585']]