fix: handling of missing values when dropping rows with outliers#101
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## [0.6.0](v0.5.0...v0.6.0) (2023-03-27) ### Features * allow calling `correlation_heatmap` with non-numerical columns ([#92](#92)) ([b960214](b960214)), closes [#89](#89) * function to drop columns with non-numerical values from `Table` ([#96](#96)) ([8f14d65](8f14d65)), closes [#13](#13) * function to drop columns/rows with missing values ([#97](#97)) ([05d771c](05d771c)), closes [#10](#10) * remove `list_columns_with_XY` methods from `Table` ([#100](#100)) ([a0c56ad](a0c56ad)), closes [#94](#94) * rename `keep_columns` to `keep_only_columns` ([#99](#99)) ([de42169](de42169)) * rename `remove_outliers` to `drop_rows_with_outliers` ([#95](#95)) ([7bad2e3](7bad2e3)), closes [#93](#93) * return new model when calling `fit` ([#91](#91)) ([165c97c](165c97c)), closes [#69](#69) ### Bug Fixes * handling of missing values when dropping rows with outliers ([#101](#101)) ([0a5e853](0a5e853)), closes [#7](#7)
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Closes #7.
Summary of Changes
Previously, calling
drop_rows_with_outlierson aTablethat had at least one missing value in a numerical column cause the resulting table to be completely empty. This PR introduces two changes: