├── DataAnalysis ├── .ipynb_checkpoints │ ├── 01 分析数据 _ 用假设检验挖掘信息宝藏-checkpoint.ipynb │ ├── 7.81_hypothetical_test-checkpoint.ipynb │ ├── 7.82_mining_info_with_hypothesis_testing-checkpoint.ipynb │ ├── 7.82_source_code-checkpoint.ipynb │ ├── TERMINOLOGY-checkpoint.ipynb │ ├── index-checkpoint.ipynb │ └── ndarray-checkpoint.ipynb ├── 7.81_hypothetical_test.ipynb ├── 7.82_mining_info_with_hypothesis_testing.ipynb ├── Practices │ ├── .ipynb_checkpoints │ │ ├── 02 项目实战 _ 分析鸢尾花种类数据（供参考）-checkpoint.ipynb │ │ └── 02 项目实战 _ 分析鸢尾花种类数据（空白版）-checkpoint.ipynb │ └── Iris │ │ ├── .ipynb_checkpoints │ │ ├── 02 项目实战 _ 分析鸢尾花种类数据（供参考）-checkpoint.ipynb │ │ └── 02 项目实战 _ 分析鸢尾花种类数据（空白版）-checkpoint.ipynb │ │ ├── 02 项目实战 _ 分析鸢尾花种类数据（供参考）.ipynb │ │ ├── 02 项目实战 _ 分析鸢尾花种类数据（空白版）.ipynb │ │ ├── Iris.csv │ │ ├── Iris_cleaned.csv │ │ └── 假设检验项目实战-zyf.pdf ├── height.csv └── height2.csv ├── DataAnalysisPreparation ├── 2.11_pandas_series_extended.ipynb ├── 2.13_pandas_dataframe.ipynb ├── 2.15_pandas_dataframe_with_data.ipynb ├── 2.17_pandas_dataframe_with_data_extended.ipynb ├── 2.2_install_jupyter_notebook.py ├── 2.3_use_jupyter_notebook.py ├── 2.4_Markdown&LaTex.py ├── 2.4_Markdown和LaTex入门.ipynb ├── 2.5_numpy_array.py ├── 2.7_numpy_array_extended.ipynb └── 2.9_pandas_series.ipynb ├── DataFormatAndReadData ├── 3.19_retrieve_data.ipynb ├── 3.20_dataformat_json.ipynb ├── 3.21_read_json.ipynb ├── 3.22_dataformat_csv.ipynb └── 3.23_read_csv.ipynb ├── DataSorting ├── 5.34_merge_data.ipynb ├── 5.35_shape_data.ipynb ├── 5.36_shape_data_extended.ipynb └── Practices │ ├── 04 项目实战 _ 整理Netflix电影演员评分数据（供参考）.ipynb │ ├── 04 项目实战 _ 整理Netflix电影演员评分数据（空白版）.ipynb │ ├── credits.csv │ └── titles.csv ├── DataVisualization ├── .ipynb_checkpoints │ ├── 03 可视化数据 _ 玩转两个变量数据-checkpoint.ipynb │ ├── 04 可视化数据 _ 玩转多个变量数据-checkpoint.ipynb │ ├── 05 项目实战 _ 可视化帕默群岛企鹅数据（供参考）-checkpoint.ipynb │ ├── 05 项目实战 _ 可视化帕默群岛企鹅数据（空白版）-checkpoint.ipynb │ ├── 6.72_Statistics_basics-checkpoint.ipynb │ ├── 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6.76_data_visualization_chart_extended.ipynb ├── 6.77_data_visualization_single_variable.ipynb ├── 6.78_data_visualization_two_variables.ipynb ├── 6.79_data_visualization_multi-variables.ipynb ├── penguins.csv ├── practices │ └── penguins │ │ ├── .ipynb_checkpoints │ │ ├── 05 项目实战 _ 可视化帕默群岛企鹅数据（参考版）-checkpoint.ipynb │ │ └── 05 项目实战 _ 可视化帕默群岛企鹅数据（空白版）-checkpoint.ipynb │ │ ├── 05 项目实战 _ 可视化帕默群岛企鹅数据（参考版）.ipynb │ │ ├── 05 项目实战 _ 可视化帕默群岛企鹅数据（空白版）.ipynb │ │ ├── penguins.csv │ │ ├── penguins_cleaned.csv │ │ └── 可视化帕默群岛企鹅数据-zyf.pdf └── temperature.csv ├── EvaluateAndCleanData ├── 4.24_evaluate_data_criteria.ipynb ├── 4.25_evaluate_data_get_started.ipynb ├── 4.26_clean_data.ipynb ├── 4.27_clean_data_index&columns.ipynb ├── 4.28_clean_messy_data.ipynb ├── 4.29_clean_dirty_data.ipynb ├── 4.30_save_cleaned_data.ipynb ├── 4.31_more_dataset_for_data_analysis.ipynb ├── 4.32_evaluate_and_clean_data_manual.ipynb ├── 4.33_upload_files_to_github.ipynb └── Practices │ └── English_E_Commerce │ └── 06 项目实战 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