Added
- **Data Transformation Features:**
- **Sorting:** Added support for sorting data by one or more columns, with options for ascending or descending order.
- **Filtering:** Introduced filtering functionality to select rows based on specific conditions.
- **Custom Transformations:** Enabled application of user-defined lambda functions for complex data manipulations.
- **Column Addition:** New option to add a value to an existing column.
- **Visualization Enhancements:**
- **Bar Charts:** Create bar charts with customizable x and y axes.
- **Pie Charts:** Generate pie charts with specified labels and values.
- **Word Clouds:** Visualize text data as word clouds.
- **Line Charts:** Plot line charts with support for multiple data series.
- **Box-and-Whisker Plots:** Generate box plots to visualize data distributions.
- **Gantt Charts:** Visualize project timelines with Gantt charts.
- **Heat Maps:** Create heat maps to represent data density.
- **Histograms:** Plot histograms with adjustable bin sizes.
- **Treemaps:** Visualize hierarchical data with treemaps.
- **Docker Support:**
- Enhanced Docker compatibility for running TidyDataCLI without Python installation.
Changed
- **CLI Interface:**
- **New Commands:** Added `transform` and `visualize` commands for advanced data processing and visualization.
- **Improved Subparsers:** Expanded subparsers to include new options and functionalities.
- **Documentation Updates:**
- **README.md:** Updated to reflect new features and usage examples.
- **Usage Instructions:** Added detailed examples for new commands and functionalities.
Fixed
- **Bug Fixes:**
- **Data Cleaning:** Resolved issues related to regex cleaning and column case transformations.
- **Visualization Stability:** Fixed bugs in plot generation, ensuring consistent output formats.
- **Error Handling:**
- Improved error messages and handling for various commands, providing better user feedback.
Migration Notes
- If upgrading from v0.1.0, review the new command options and update your CLI usage according to the latest documentation.
- Ensure to test new features on a sample dataset to understand the changes in functionality.