├── .Rproj.user └── 69A1DB49 │ ├── pcs │ ├── debug-breakpoints.pper │ ├── files-pane.pper │ ├── source-pane.pper │ ├── windowlayoutstate.pper │ └── workbench-pane.pper │ └── sources │ └── prop │ └── 91DA5C98 ├── .gitignore ├── Chapter 10 ├── airpassengers.xlsx ├── forecasting_lstm.py ├── forecasting_prophet.py ├── forecasting_statsmodel.py ├── imgs │ ├── AirPassengers.png │ ├── acf_plot.png │ ├── auto_arima_calibration_plot.png │ ├── pacf_apts.png │ ├── ts_obj_rnorm_25.png │ └── tuning_grid_plot.png ├── plots.py ├── sample_data.py ├── statistics.py └── time_series.R ├── Chapter 11 ├── call_plumber.R ├── fastapi_add.py ├── imgs │ ├── BERT_Console.png │ ├── BERT_Console_Excell_Addins.png │ ├── BERT_VBA_to_R_density_plot_rnorm.png │ └── RAND.png ├── matrix_multiplication.py ├── matrix_multiplication.xlsm ├── multiply.py ├── multiply.xlsx ├── plumber_api.R └── vba_plumber_curl_request.bas ├── Chapter 3 ├── Sub_MultiplyByRandom.bas ├── executing_VBA.py ├── interacting_Excel_objects.py ├── mult_by_rand_ch3.xlsm ├── retreiving_data.py ├── run_MultByRand_macro.R └── testing_environment.py ├── Chapter 4 ├── apscheduler.py ├── case_study.py ├── get_user_input.R ├── hello_world.R ├── hello_world_schedule.R ├── install_taskscheduleR.R ├── schedule.py └── send_basic_email.py ├── Chapter 5 ├── aligning_text_openpyxl.py ├── aligning_text_pandas.py ├── background_colors_openpyxl.py ├── background_colors_pandas.py ├── conditional_formatting.py ├── font_properties_openpyxl.py ├── font_properties_pandas.py ├── heatmap.py ├── install_ch5_packages.R ├── pivot_table.py ├── using_basictabler.R └── using_styledTables.R ├── Chapter 6 ├── ch6_barplot.R ├── ch6_cowplot.R ├── ch6_dumbell_plot.R ├── ch6_ggplot2.R ├── ch6_timeseries.R ├── insert_image_pywin32.py ├── matplotlib_basics.py ├── matplotlib_customizations.py ├── plotnine_additional_layers.py ├── plotnine_basics.py └── plotnine_customizations.py ├── Chapter 7 ├── create_pivot.py ├── grouping.py └── manipulate_pivot.py ├── Chapter 8 ├── ch8.R ├── clean_data.py ├── create_sample_data.py ├── data_distribution.py ├── relationships.py └── summary_statistics.py ├── Chapter 9 ├── ch9_linear_reg.R ├── ch9_linear_reg_tidymodels.R ├── ch9_logistic_reg.R ├── ch9_logistic_reg_tidymodels.R ├── linear_regression.py └── logistic_regression.py ├── Chapter1 ├── ch1_create_iris_dataset.R ├── ch1_pkgs.R ├── ch1_save_xlsx_as_xlsb.R ├── excel_sheet_reader.R ├── iris_data.xlsb ├── multisheet_openpyxl.py ├── open_excel_openpyxl.py ├── open_excel_pandas.py └── read_xlsx_files.R ├── Chapter12 ├── call_plumber.R ├── imgs │ ├── api_histogram.png │ ├── enter_api_argument.png │ ├── get_api.png │ ├── swagger_plumber_api_screen.png │ └── vba_curl_request.png ├── plumber_api.R └── vba_plumber_curl_request.bas ├── Chapter14 ├── auto_xgb.rar ├── ch14_data.R ├── ch14_diamonds_eda.R ├── ch14_diamonds_modeling.R ├── imgs │ ├── ggplot_diamonds_boxplot.png │ ├── ggplot_diamonds_hex_plot.png │ ├── ggplot_diamonds_hist_by_cut.png │ ├── ggplot_diamonds_mean_price.png │ ├── ggplot_diamonds_mean_price_per_carat.png │ └── hist_default_and_optbin.png └── xgb_wflw_fit.rds ├── Chapter2 ├── adding_sheets.py ├── cell_update.py ├── create_workbook.py ├── deleting_sheet.py ├── excel_write_bench.R ├── export2excel_pandas.py └── output_file_size_compare.R ├── Chapter7 └── ch7_tables_with_R.R ├── Chapter8 └── ch8.R ├── Chapter9 ├── ch9_linear_reg.R ├── ch9_linear_reg_tidymodels.R ├── ch9_logistic_reg.R └── ch9_logistic_reg_tidymodels.R ├── Extending-Excel-with-Python-and-R.Rproj ├── GroupingExample.xlsx ├── LICENSE ├── README.md ├── aligned_table_openpyxl.xlsx ├── aligned_table_pandas.xlsx ├── chapter6 ├── ch6_barplot.R ├── ch6_cowplot.R ├── ch6_dumbell_plot.R ├── ch6_ggplot2.R ├── ch6_timeseries.R └── imgs │ └── payergroup_barplot.png ├── colored_table_openpyxl.xlsx ├── colored_table_pandas.xlsx ├── conditional_formatting.xlsx ├── data.xlsx ├── dirty_data.xlsx ├── example.xlsx ├── heatmap_with_conditional_formatting.xlsx ├── 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