table format updated

README.md

@@ -42,19 +42,22 @@ Each layer has a certain strength of communication inbuilt
 {✨= Experimental,
 ✅ = Implemented}
 
-✅ `Python Packaging framework` design principles\
-✅ `GitHub actions` configured\
-✅ `Vale.sh` configured at PR level\
-✅ `Pre-commit hooks` configured for code linting/formatting\
-✨ `Hello world` LLM design example based on [LangChain](https://python.langchain.com/)\
-✅ Environment management via [pixi](https://prefix.dev/)\
-✅ Reading data from online sources using [intake](https://github.com/intake/intake)\
-✅ Sample pipeline built using [Dagster](https://github.com/dagster-io/dagster)\
-✅ Building Dashboard using [holoviews](https://holoviews.org/gallery/index.html) + [panel](https://panel.holoviz.org/reference/index.html)\
-✅ Exploratory data analysis (EDA) using [mito](https://www.trymito.io/)\
-✅ Web UI build on [Flask](https://flask.palletsprojects.com/en/3.0.x/) \
-✅ Web UI re-done and expanded with [FastHTML](https://docs.fastht.ml/)\
-✅ Leverage AI models to analyse data [GitHub AI models Beta](https://docs.github.com/en/github-models/prototyping-with-ai-models)
+| Status | Workflow Description                                                                                              |
+|--------|------------------------------------------------------------------------------------------------------------------|
+| ✅     | `Python Packaging framework` design principles                                                                  |
+| ✅     | `GitHub actions` configured                                                                                      |
+| ✅     | `Vale.sh` configured at PR level                                                                                 |
+| ✅     | `Pre-commit hooks` configured for code linting/formatting                                                        |
+| ✨     | `Hello world` LLM design example based on [LangChain](https://python.langchain.com/)                              |
+| ✅     | Environment management via [pixi](https://prefix.dev/)                                                           |
+| ✅     | Reading data from online sources using [intake](https://github.com/intake/intake)                                |
+| ✅     | Sample pipeline built using [Dagster](https://github.com/dagster-io/dagster)                                     |
+| ✅     | Building Dashboard using [holoviews](https://holoviews.org/gallery/index.html) + [panel](https://panel.holoviz.org/reference/index.html) |
+| ✅     | Exploratory data analysis (EDA) using [mito](https://www.trymito.io/)                                            |
+| ✅     | Web UI build on [Flask](https://flask.palletsprojects.com/en/3.0.x/)                                             |
+| ✅     | Web UI re-done and expanded with [FastHTML](https://docs.fastht.ml/)                                             |
+| ✅     | Leverage AI models to analyse data [GitHub AI models Beta](https://docs.github.com/en/github-models/prototyping-with-ai-models) |
+
 
 ### ☕️ Quickly getting started with DataJourney