mobile telephony in africa
glo mobile has a greater number of subscribers over mobilis .
{'row_1': '5', 'row_2': '10', 'col': '4', 'col_other': '1', 'relation': 'greater', 'record_mentioned': 'no', 'diff_result': None}
{'func': 'greater', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'provider', 'glo mobile'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose provider record fuzzily matches to glo mobile .', 'tostr': 'filter_eq { all_rows ; provider ; glo mobile }'}, 'subscribers ( 2006 ) ( thousands )'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; provider ; glo mobile } ; subscribers ( 2006 ) ( thousands ) }', 'tointer': 'select the rows whose provider record fuzzily matches to glo mobile . take the subscribers ( 2006 ) ( thousands ) record of this row .'}, {'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'provider', 'mobilis'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose provider record fuzzily matches to mobilis .', 'tostr': 'filter_eq { all_rows ; provider ; mobilis }'}, 'subscribers ( 2006 ) ( thousands )'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; provider ; mobilis } ; subscribers ( 2006 ) ( thousands ) }', 'tointer': 'select the rows whose provider record fuzzily matches to mobilis . take the subscribers ( 2006 ) ( thousands ) record of this row .'}], 'result': True, 'ind': 4, 'tostr': 'greater { hop { filter_eq { all_rows ; provider ; glo mobile } ; subscribers ( 2006 ) ( thousands ) } ; hop { filter_eq { all_rows ; provider ; mobilis } ; subscribers ( 2006 ) ( thousands ) } } = true', 'tointer': 'select the rows whose provider record fuzzily matches to glo mobile . take the subscribers ( 2006 ) ( thousands ) record of this row . select the rows whose provider record fuzzily matches to mobilis . take the subscribers ( 2006 ) ( thousands ) record of this row . the first record is greater than the second record .'}
greater { hop { filter_eq { all_rows ; provider ; glo mobile } ; subscribers ( 2006 ) ( thousands ) } ; hop { filter_eq { all_rows ; provider ; mobilis } ; subscribers ( 2006 ) ( thousands ) } } = true
select the rows whose provider record fuzzily matches to glo mobile . take the subscribers ( 2006 ) ( thousands ) record of this row . select the rows whose provider record fuzzily matches to mobilis . take the subscribers ( 2006 ) ( thousands ) record of this row . the first record is greater than the second record .
{'greater_4': 'greater', 'result_5': 'true', 'num_hop_2': 'num_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'provider_7': 'provider', 'glo mobile_8': 'glo mobile', 'subscribers (2006) (thousands)_9': 'subscribers ( 2006 ) ( thousands )', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'provider_11': 'provider', 'mobilis_12': 'mobilis', 'subscribers (2006) (thousands)_13': 'subscribers ( 2006 ) ( thousands )'}
['provider', 'country', 'subscribers ( 2005 ) ( thousands )', 'subscribers ( 2006 ) ( thousands )', 'growth %']
[['airtel', 'kenya , uganda', '37600', '31800', '54.9'], ['vodacom', 'south africa', '17600', '21800', '23.9'], ['mtn', 'south africa', '10235', '12483', '22'], ['mtn', 'nigeria', '8370', '12281', '47'], ['glo mobile', 'nigeria', '9000', '11000', '22'], ['maroc', 'morocco', '8237', '10707', '30'], ['djezzy', 'algeria', '7109', '10531', '48'], ['mobinil', 'egypt', '66960', '9267', '38'], ['vodafone', 'egypt', '6125', '8704', '42'], ['mobilis', 'algeria', '4908', '7476', '52']]