O'Reilly - Learning Path - Data Science with R

磁力链接/BT种子名称

O'Reilly - Learning Path - Data Science with R

磁力链接/BT种子简介

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收录时间：2017-02-09
最近下载：2025-09-01

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文件列表

  • 01. Learning to Program with R, by Stuart Greenlee/001_introduction_and_course_overview.mp4 5.8 MB
  • 01. Learning to Program with R, by Stuart Greenlee/002_about_the_author.mp4 1.7 MB
  • 01. Learning to Program with R, by Stuart Greenlee/003_installing_r_and_r_studio.mp4 14.6 MB
  • 01. Learning to Program with R, by Stuart Greenlee/004_navigating_r_studio.mp4 17.0 MB
  • 01. Learning to Program with R, by Stuart Greenlee/005_packages.mp4 17.0 MB
  • 01. Learning to Program with R, by Stuart Greenlee/006_assigning_variables.mp4 10.6 MB
  • 01. Learning to Program with R, by Stuart Greenlee/007_numbers_strings_and_booleans.mp4 18.8 MB
  • 01. Learning to Program with R, by Stuart Greenlee/008_workspace_operations.mp4 32.5 MB
  • 01. Learning to Program with R, by Stuart Greenlee/009_how_to_access_your_working_files.mp4 4.9 MB
  • 01. Learning to Program with R, by Stuart Greenlee/010_basic_operators.mp4 13.3 MB
  • 01. Learning to Program with R, by Stuart Greenlee/011_vectors.mp4 21.0 MB
  • 01. Learning to Program with R, by Stuart Greenlee/012_sequences.mp4 19.3 MB
  • 01. Learning to Program with R, by Stuart Greenlee/013_basic_statistical_functions.mp4 13.9 MB
  • 01. Learning to Program with R, by Stuart Greenlee/014_matrices.mp4 14.8 MB
  • 01. Learning to Program with R, by Stuart Greenlee/015_matrix_operations.mp4 18.4 MB
  • 01. Learning to Program with R, by Stuart Greenlee/016_basic_matrix_statistics.mp4 15.5 MB
  • 01. Learning to Program with R, by Stuart Greenlee/017_generating_random_numbers.mp4 30.7 MB
  • 01. Learning to Program with R, by Stuart Greenlee/018_string_functions.mp4 24.4 MB
  • 01. Learning to Program with R, by Stuart Greenlee/019_dates_and_times.mp4 31.0 MB
  • 01. Learning to Program with R, by Stuart Greenlee/020_line_plots.mp4 28.0 MB
  • 01. Learning to Program with R, by Stuart Greenlee/021_plotting_arguments.mp4 15.5 MB
  • 01. Learning to Program with R, by Stuart Greenlee/022_bar_graphs_and_histograms.mp4 28.8 MB
  • 01. Learning to Program with R, by Stuart Greenlee/023_scatter_plots.mp4 30.6 MB
  • 01. Learning to Program with R, by Stuart Greenlee/024_probability_plots.mp4 19.1 MB
  • 01. Learning to Program with R, by Stuart Greenlee/025_combining_and_saving_plots.mp4 19.7 MB
  • 01. Learning to Program with R, by Stuart Greenlee/026_arrays.mp4 12.4 MB
  • 01. Learning to Program with R, by Stuart Greenlee/027_lists.mp4 12.5 MB
  • 01. Learning to Program with R, by Stuart Greenlee/028_data_frames.mp4 23.7 MB
  • 01. Learning to Program with R, by Stuart Greenlee/029_data_import.mp4 18.4 MB
  • 01. Learning to Program with R, by Stuart Greenlee/030_missing_data_part_1.mp4 12.0 MB
  • 01. Learning to Program with R, by Stuart Greenlee/031_missing_data_part_2.mp4 14.5 MB
  • 01. Learning to Program with R, by Stuart Greenlee/032_ordering_and_sorting.mp4 15.7 MB
  • 01. Learning to Program with R, by Stuart Greenlee/033_subsetting_and_indexing.mp4 18.6 MB
  • 01. Learning to Program with R, by Stuart Greenlee/034_merging_data.mp4 14.6 MB
  • 01. Learning to Program with R, by Stuart Greenlee/035_examining_files_and_objects.mp4 14.4 MB
  • 01. Learning to Program with R, by Stuart Greenlee/036_descriptive_statistics.mp4 24.0 MB
  • 01. Learning to Program with R, by Stuart Greenlee/037_apply_functions.mp4 14.4 MB
  • 01. Learning to Program with R, by Stuart Greenlee/038_linear_models.mp4 23.6 MB
  • 01. Learning to Program with R, by Stuart Greenlee/039_extracting_model_information.mp4 21.6 MB
  • 01. Learning to Program with R, by Stuart Greenlee/040_principal_componant_analysis.mp4 7.9 MB
  • 01. Learning to Program with R, by Stuart Greenlee/041_xts_objects.mp4 14.4 MB
  • 01. Learning to Program with R, by Stuart Greenlee/042_acf_plots.mp4 10.6 MB
  • 01. Learning to Program with R, by Stuart Greenlee/043_decomposition.mp4 12.0 MB
  • 01. Learning to Program with R, by Stuart Greenlee/044_exponential_smoothing.mp4 14.7 MB
  • 01. Learning to Program with R, by Stuart Greenlee/045_rolling_functions.mp4 19.6 MB
  • 01. Learning to Program with R, by Stuart Greenlee/046_arima_models.mp4 17.2 MB
  • 01. Learning to Program with R, by Stuart Greenlee/047_if_statements.mp4 19.4 MB
  • 01. Learning to Program with R, by Stuart Greenlee/048_for_loops.mp4 12.7 MB
  • 01. Learning to Program with R, by Stuart Greenlee/049_while_loops.mp4 9.9 MB
  • 01. Learning to Program with R, by Stuart Greenlee/050_appending_loops.mp4 13.2 MB
  • 01. Learning to Program with R, by Stuart Greenlee/051_writing_functions.mp4 14.1 MB
  • 01. Learning to Program with R, by Stuart Greenlee/052_debugging_functions.mp4 19.6 MB
  • 01. Learning to Program with R, by Stuart Greenlee/053_recursive_functions.mp4 7.4 MB
  • 01. Learning to Program with R, by Stuart Greenlee/054_saving_different_types_of_data.mp4 6.7 MB
  • 01. Learning to Program with R, by Stuart Greenlee/055_additional_resources.mp4 5.6 MB
  • 01. Learning to Program with R, by Stuart Greenlee/Working_Files.zip 70.3 kB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/056_introduction_to_the_course.mp4 15.7 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/057_orientation_to_r.mp4 14.0 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/058_data_structures_and_types.mp4 16.8 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/059_lists_and_data_frames.mp4 68.0 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/060_subsetting_1.mp4 91.0 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/061_subsetting_2.mp4 36.3 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/062_r_packages.mp4 23.7 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/063_logical_tests.mp4 148.6 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/064_missing_values.mp4 53.5 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/065_introduction_to_ggplot2.mp4 50.1 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/066_aesthetics.mp4 75.5 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/067_facetting.mp4 33.5 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/068_geoms.mp4 68.8 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/069_position_adjustments.mp4 36.7 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/070_visualizing_distributions.mp4 83.6 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/071_visualizing_big_data.mp4 44.3 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/072_saving_graphs.mp4 35.8 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/073_visualizing_map_data.mp4 58.1 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/074_titles_and_coordinate_systems.mp4 49.0 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/075_scales_and_color_schemes.mp4 59.2 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/076_themes.mp4 36.6 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/077_axis_labels_and_legends.mp4 42.3 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/078_further_learning.mp4 14.9 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/079_reading_in_data.mp4 39.6 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/080_melt.mp4 78.1 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/081_dcast.mp4 37.1 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/082_rbind_and_cbind.mp4 10.8 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/083_saving_data.mp4 26.5 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/084_line_plots.mp4 40.9 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/085_filter_and_select.mp4 5.4 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/086_arrange_mutate_and_summarize.mp4 32.9 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/087_joining_data_sets.mp4 66.7 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/088_grouping_data.mp4 43.5 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/089_the_tbl_format.mp4 19.6 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/090_advanced_manipulations.mp4 56.8 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/091_introduction_to_modeling.mp4 46.3 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/092_linear_models_and_model_syntax.mp4 28.7 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/093_model_inference.mp4 89.4 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/094_categorical_variables.mp4 34.2 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/095_multivariate_models.mp4 83.6 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/096_introduction_to_variable_selection.mp4 51.2 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/097_best_subsets_selection.mp4 28.3 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/098_stepwise_selection.mp4 54.0 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/099_penalized_regression.mp4 6.7 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/100_nonlinear_models.mp4 29.4 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/101_logistic_regression.mp4 41.1 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/102_modeling_resources.mp4 15.7 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/103_resources_for_r.mp4 23.6 MB
  • 02. Introduction to Data Science with R, by Garrett Grolemund/Intro-master.zip 57.6 MB
  • 03. Expert Data Wrangling with R, by Garrett Grolemund/104_introduction.mp4 30.6 MB
  • 03. Expert Data Wrangling with R, by Garrett Grolemund/105_two_new_conventions.mp4 50.9 MB
  • 03. Expert Data Wrangling with R, by Garrett Grolemund/106_data_science_for_data_wranglers.mp4 65.5 MB
  • 03. Expert Data Wrangling with R, by Garrett Grolemund/107_the_dplyr_package.mp4 8.1 MB
  • 03. Expert Data Wrangling with R, by Garrett Grolemund/108_select_variables.mp4 52.2 MB
  • 03. Expert Data Wrangling with R, by Garrett Grolemund/109_filter_observations.mp4 53.8 MB
  • 03. Expert Data Wrangling with R, by Garrett Grolemund/110_derive_variables.mp4 33.0 MB
  • 03. Expert Data Wrangling with R, by Garrett Grolemund/111_summarize_observations.mp4 50.6 MB
  • 03. Expert Data Wrangling with R, by Garrett Grolemund/112_group_observations.mp4 95.3 MB
  • 03. Expert Data Wrangling with R, by Garrett Grolemund/113_rearrange_observations.mp4 26.3 MB
  • 03. Expert Data Wrangling with R, by Garrett Grolemund/114_case_study_1_tb_counts.mp4 47.8 MB
  • 03. Expert Data Wrangling with R, by Garrett Grolemund/115_data_science_for_data_wranglers_part_2_units_of_analysis.mp4 67.1 MB
  • 03. Expert Data Wrangling with R, by Garrett Grolemund/116_data_science_for_data_wranglers_part_3_tidy_data.mp4 43.2 MB
  • 03. Expert Data Wrangling with R, by Garrett Grolemund/117_reshape_the_layout_of_your_data.mp4 82.3 MB
  • 03. Expert Data Wrangling with R, by Garrett Grolemund/118_separate_and_unite_variables.mp4 35.3 MB
  • 03. Expert Data Wrangling with R, by Garrett Grolemund/119_data_science_for_data_wranglers_part_4_the_best_format.mp4 93.6 MB
  • 03. Expert Data Wrangling with R, by Garrett Grolemund/120_combine_data_sets.mp4 88.5 MB
  • 03. Expert Data Wrangling with R, by Garrett Grolemund/121_case_study_2_tb_rates.mp4 67.7 MB
  • 03. Expert Data Wrangling with R, by Garrett Grolemund/122_data_science_for_data_wranglers_part_5_the_structure_of_visualizations.mp4 17.4 MB
  • 03. Expert Data Wrangling with R, by Garrett Grolemund/123_visualize_observations.mp4 44.5 MB
  • 03. Expert Data Wrangling with R, by Garrett Grolemund/124_visualize_variables.mp4 68.6 MB
  • 03. Expert Data Wrangling with R, by Garrett Grolemund/125_how_to_learn_more.mp4 51.9 MB
  • 04. Writing Great R Code, by Richard Cotton/126_writing_great_r_code.mp4 209.3 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/127_introduction.mp4 16.3 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/128_about_the_author.mp4 5.7 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/129_introduction_to_azure_ml_studio.mp4 1.4 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/130_experiments_and_workflows_in_azure_ml_studio.mp4 29.2 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/131_azure_ml_modules.mp4 21.0 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/132_data_io_in_azure_ml.mp4 28.2 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/133_creating_and_evaluating_a_first_machine_learning_model.mp4 33.7 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/134_documentation_and_examples.mp4 26.3 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/135_editing_debugging_and_executing_r_in_azure_ml.mp4 13.8 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/136_an_execute_r_script_example.mp4 19.5 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/137_the_create_r_model_module.mp4 17.0 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/138_overview_of_data_science_examples.mp4 16.2 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/139_the_data_science_process.mp4 15.7 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/140_introduction_to_data_transformation_and_cleaning.mp4 3.5 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/141_dealing_with_metadata.mp4 15.6 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/142_duplicate_and_missing_data.mp4 27.1 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/143_standardization_and_transformation.mp4 22.2 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/144_errors_and_outliers.mp4 18.4 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/145_quantization_and_categories.mp4 22.1 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/146_combining_data_joins.mp4 16.8 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/147_introduction_to_apply_sql_transformation_module.mp4 16.6 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/148_apply_sql_transformation_exercise.mp4 14.9 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/149_intro_to_dplyr.mp4 29.1 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/150_dplyr_example_part_1.mp4 9.7 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/151_dplyr_example_part_2.mp4 21.6 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/152_installing_r_packages.mp4 24.0 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/153_reshaping_data_with_tidyr.mp4 38.2 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/154_datetime_classes_in_azure_ml.mp4 17.0 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/155_posixct_example.mp4 20.0 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/156_intro_to_ggplot2.mp4 13.6 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/157_ggplot2_exercise.mp4 17.0 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/158_introduction_to_feature_selection_and_dimensionality_reduction.mp4 27.2 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/159_exercise_filter_based_feature_selection.mp4 16.3 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/160_exercise_randomforest_feature_selection.mp4 36.1 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/161_projection_methods_for_dimensionality_reduction.mp4 19.2 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/162_introduction_to_functional_programming_with_r.mp4 25.0 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/163_functional_programming_example.mp4 33.5 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/164_introduction_to_regression_example.mp4 16.6 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/165_data_preparation_example.mp4 51.3 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/166_examining_correlations.mp4 39.7 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/167_time_series_plots.mp4 31.0 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/168_understanding_features_with_box_plots.mp4 34.5 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/169_other_exploratory_plots.mp4 31.7 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/170_feature_selection_regression.mp4 24.0 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/171_model_evaluation_with_time_series_plots.mp4 58.0 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/172_model_evaluation_of_residuals_part_1.mp4 20.4 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/173_model_evaluation_of_residuals_part_2.mp4 22.8 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/174_introduction_to_improving_the_model.mp4 1.8 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/175_using_an_r_model.mp4 30.6 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/176_creating_a_new_azure_ml_model.mp4 19.5 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/177_trimming_outliers.mp4 17.3 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/178_optimizing_model_parameters.mp4 40.8 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/179_further_improvements_and_summary.mp4 15.1 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/180_introduction_to_r_object_serialization.mp4 7.4 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/181_r_object_serialization_example.mp4 29.9 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/182_introduction_to_classification_example.mp4 15.8 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/183_data_preparation_part_1.mp4 14.2 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/184_data_preparation_part_2.mp4 24.3 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/185_exploring_the_data.mp4 41.6 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/186_balance_cases.mp4 13.1 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/187_feature_selection.mp4 31.6 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/188_building_initial_models.mp4 27.8 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/189_model_evaluation.mp4 52.7 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/190_first_r_model.mp4 25.7 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/191_improving_the_r_model.mp4 34.4 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/192_summary.mp4 8.7 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/193_overview_of_publishing_azure_ml_models_as_web_services.mp4 9.1 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/194_creating_an_azure_ml_web_service.mp4 34.1 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/195_updating_an_azure_ml_web_service.mp4 14.9 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/196_r_model_publishing.mp4 44.2 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/197_summary.mp4 11.7 MB
  • 05. Data Science with Microsoft Azure and R, by Stephen Elston/198_wrapup.mp4 7.6 MB

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