Man pages for pkchouhan14/customerChurnUU
Customer Churn Data Analysis
| cal_median | Title |
| check_NA | Title count NA in a data column |
| check_negative | Title check Negative values in a dataframe |
| check_negative_col | Title check Negative values in a data column |
| check_normal_distribution | Title check if column distribution is normal |
| chisq_test | Title compute chi square test for labelled column |
| cohens_d | Title Dependent t test |
| col_compare_label | Title |
| col_type | Use a map function to find which columns are numeric, the... |
| column_std | Title calculate the standard deviation |
| column_variance | Title calculate the variance |
| compare_col_distribution_2data | Title check if column distribution of two dataframe are same |
| compare_two_values | Title compare 2 columns values |
| convert_data_variable | Title Convert Variables format |
| count_column_range | Title check the column values are in the given range |
| data_summary | Data Summary for Numeric Columns |
| decision_tree_model | Title |
| dependent_t_test | Title Dependent t test |
| divide_data_test_train | Title To split the dataset into training and test |
| f_test_vector | Title check if 2 column (numeric vector) have the same... |
| index_outside_std | Title flagging values outside x standard deviations |
| lg_Model | Title logistic regression model on the data |
| look_data | view the uploaded dataset |
| match_value | Title |
| na_counter | Count all NAs in a data set |
| normalize_col | Title Normalize numeric data |
| omit_na | Title relatively small in number then ignore those rows from... |
| over_column_range | Title check the column's that have value over the column... |
| over_times_column | Title check the column's value is not above ~10 times the... |
| predict_model | Title |
| processed_data | Title processed the read data by implementing all needed... |
| sample_read | Title Read data file (csv) from directory by the user |
| sum_na | Count NAs in a vector |
| test_model_testdata | Title test the model with test dataset |
| under_column_range | Title check the column's that have value over the column... |
| unique_values_column | Title count unique values in a given column |
| unique_values_column_2data | Title match column unique values of 2 dataframes |
