renamed parse() to split_lines()
_correlation() removes all rows with nan in either column before calling pearsonr
Added note about correlation function removing missing values prior to calculation
Removed hardcoded data path in create_dha(), and added test of nan-robust corelation function using data/dha_missing.csv
Merge pull request #16 from mdec/nan-robust-correlation

nan-robust correlation
Change metadata format on disk to support ignore properly
Add key to update schema
changed contXmult to include all the categories even if one is empty. Still not plotting empty category. Looking into switching to matplotlib boxplot.
Fixed the issue where empty categories weren't being plotted. It seems like there might be an issue with removing datapoints with NaNs
changed the method for removing datapoints with NaN to be pairwise between the variables being plotted, as opposed to across all the variables in pairwise.
added basic whereclause grammer in select_utils. Can parse most basic whereclause and similarity
theoretically parsing typicality now
predictive probability and typicality parsing
Fixed a serious issue with misordering of categories in plots in pairwise. Numeric categories are now not sorted, but this is next on the agenda.
Removed unused imports from plotting utils and setup.py.
Merge branch 'master' of github.com:mit-probabilistic-computing-project/BayesDB
added similarity with respect to, fixed predictive of bug
parses queries of the form: WHERE SIMILARITY TO column_identifier = value > value_2
Merge branch 'master' of https://github.com/mit-probabilistic-computing-project/BayesDB into benParseBranch
removed debugging print statements