data/python-agate-1.6.1/CHANGELOG.rst:40: intialized ==> initialized
data/python-agate-1.6.1/CHANGELOG.rst:43: indicies ==> indices
data/python-agate-1.6.1/CHANGELOG.rst:169: primarly ==> primarily
data/python-agate-1.6.1/CHANGELOG.rst:547: documention ==> documentation
data/python-agate-1.6.1/CHANGELOG.rst:626: implmented ==> implemented
data/python-agate-1.6.1/tutorial.ipynb:307: identifer ==> identifier
data/python-agate-1.6.1/tutorial.ipynb:307: abbrevations ==> abbreviations
data/python-agate-1.6.1/tutorial.ipynb:504: indviduals ==> individuals
data/python-agate-1.6.1/tutorial.ipynb:1145: ND ==> AND, 2ND
data/python-agate-1.6.1/tutorial.ipynb:1309: ND ==> AND, 2ND
data/python-agate-1.6.1/agate/config.py:9: configuation ==> configuration
data/python-agate-1.6.1/agate/csv_py2.py:109: reencode ==> re-encode
data/python-agate-1.6.1/agate/utils.py:25: Sentinal ==> Sentinel
data/python-agate-1.6.1/agate/utils.py:259: identifer ==> identifier
data/python-agate-1.6.1/agate/utils.py:260: Identifers ==> Identifiers
data/python-agate-1.6.1/agate/utils.py:260: occurance ==> occurrence
data/python-agate-1.6.1/agate/aggregations/count.py:10: occurences ==> occurrences
data/python-agate-1.6.1/agate/computations/slug.py:20: identifers ==> identifiers
data/python-agate-1.6.1/agate/table/join.py:14: peform ==> perform
data/python-agate-1.6.1/agate/table/print_bars.py:45: outputed ==> outputted
data/python-agate-1.6.1/agate/table/rename.py:29: dupicate ==> duplicate
data/python-agate-1.6.1/docs/contributing.rst:34: runing ==> running, ruining
data/python-agate-1.6.1/docs/api/csv.rst:13: seperately ==> separately
data/python-agate-1.6.1/docs/cookbook/transform.rst:26: occurences ==> occurrences
data/python-agate-1.6.1/examples/realdata/Datagov_FY10_EDU_recp_by_State.csv:36: ND ==> AND, 2ND
data/python-agate-1.6.1/examples/realdata/exonerations-20150828.csv:54: Appling ==> Applying, appalling
data/python-agate-1.6.1/examples/realdata/exonerations-20150828.csv:102: Sade ==> Sad
data/python-agate-1.6.1/examples/realdata/exonerations-20150828.csv:130: ND ==> AND, 2ND
data/python-agate-1.6.1/examples/realdata/exonerations-20150828.csv:360: Dake ==> Take
data/python-agate-1.6.1/examples/realdata/exonerations-20150828.csv:649: Hart ==> Heart, harm
data/python-agate-1.6.1/examples/realdata/exonerations-20150828.csv:792: Nax ==> Max, nad
data/python-agate-1.6.1/examples/realdata/exonerations-20150828.csv:958: ND ==> AND, 2ND
data/python-agate-1.6.1/examples/realdata/exonerations-20150828.csv:1008: yeasr ==> years
data/python-agate-1.6.1/examples/realdata/exonerations-20150828.csv:1036: Noe ==> Not, no, node, know, now