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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Netflix Dataset Analysis\n\n## Data Exploration\n- **head()**: Displays the first few rows of the dataset.\n- **tail()**: Displays the last few rows of the dataset.\n- **shape**: Returns the dimensions of the dataset (number of rows and columns).\n- **size**: Returns the total number of elements in the dataset.\n- **columns**: Returns the column names of the dataset.\n- **dtypes**: Returns the data types of each column in the dataset.\n- **info()**: Provides a concise summary of the DataFrame.\n\n## Data Cleaning\n- **isnull()**: Identifies missing values in the dataset.\n- **dropna()**: Removes rows with missing values (by default).\n\n## Data Transformation\n- **to_datetime()**: Converts a string or numeric column to datetime format.\n- **str.contains()**: Filters rows based on patterns within a string column.\n- **str.split()**: Splits a string column into separate values based on a delimiter.\n\n## Data 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