Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python Changelog 0.2.4 (2023-06-26) Avoid setting display in collab notebooks 0.2.3 (2023-05-01) Control size of decisiontree plots in jupyter notebooks 0.2 (2023-04-20) Move from using pydotplus to graphviz Add type hints switch to using ruff 0.0.19 (2021-12-05) Update code to latest version of packages addressing depracation warnings 0.0.18 (2021-02-25) replace 'AustralianWines.csv.gz' with correct version 0.0.17 (2021-02-25) include file 'AutoAndElectronics.zip' in package 0.0.16 (2021-02-25) expose method get_data_file to access files by name with ZipFile(dmba.get_data_file('AutoAndElectronics.zip')) as rawData: 0.0.15 (2021-02-25) allow keyword arguments in load_data import dmba data = dmba.load_data('gdp.csv', skiprows=4) print(data.shape) 0.0.14 (2021-02-16) Adapt gainsChart to work with pandas > 1.2.0 (#8) Make regressionSummary to work with column and row vectors (#6) Include data sets in package, use e.g. (#10) import dmba data = dmba.load_data('Universities.csv') print(data.shape)