Update README.md

README.md

@@ -149,7 +149,7 @@ EDA is a vital but time-consuming task in a data project. Here are 10 open-sourc
 | Library | Description | Web | Github |
 | ------------- | :------------- | :-------------: | :-------------: |
 | [SweetViz](https://colab.research.google.com/drive/1oZmkTq-ucbeMtI1JxA8YTgY0Oq_Jwu7S#scrollTo=utvXkKhg5OgU) | - In-depth EDA report in two lines of code.<br> - Covers information about missing values, data statistics, etc.<br> - Creates a variety of data visualizations. <br>- Integrates with Jupyter Notebook.|[🌐](https://pypi.org/project/sweetviz/) | [:octocat:](https://github.com/fbdesignpro/sweetviz) |
-| Pandas-Profiling | - Generate a high-level EDA report of your data in no time.<br>- Covers info about missing values, data statistics, correlation etc.<br>- Produces data alerts.<br>- Plots data feature interactions. |[🌐](https://pypi.org/project/pandas-profiling/) | [:octocat:](https://github.com/ydataai/pandas-profiling) |
+| [Pandas-Profiling](https://github.com/drshahizan/Python_EDA/blob/main/assignment/ass2/bdm/KicapSambal/case_study2b/CaseStudy2_PandaProfilingEDA.ipynb) | - Generate a high-level EDA report of your data in no time.<br>- Covers info about missing values, data statistics, correlation etc.<br>- Produces data alerts.<br>- Plots data feature interactions. |[🌐](https://pypi.org/project/pandas-profiling/) | [:octocat:](https://github.com/ydataai/pandas-profiling) |
 | [DataPrep](https://github.com/drshahizan/Python_EDA/blob/main/assignment/ass2/bdm/Avengers/case_study2b/cs2b.ipynb) | - Supports Pandas and Dask DataFrames.<br>- Interactive Visualizations.<br>- 10x Faster than Pandas based tools.<br>- Covers info about missing values, data statistics, correlation etc.<br>- Plots data feature interactions. |[🌐](https://dataprep.ai/) | [:octocat:](https://github.com/sfu-db/dataprep) |
 | [AutoViz](https://github.com/drshahizan/Python_EDA/blob/main/assignment/ass2/bdm/Avengers/case_study2c/cs2c.ipynb) | - Supports CSV, TXT, and JSON.<br>- Interactive Bokeh charts.<br>- Covers info about missing values, data statistics, correlation etc.<br>- Presents data cleaning suggestions. |[🌐](https://pypi.org/project/autoviz) | [:octocat:](https://github.com/AutoViML/AutoViz) |
 | D-Tale | - Runs common Pandas operation with no-code.<br>- Exports code of analysis.<br>- Covers info about missing values, data statistics, correlation etc.<br>- Highlights duplicates, outliers, etc.<br>- Integrates with Jupyter Notebook. |[🌐](https://pypi.org/project/dtale/) | [:octocat:](https://github.com/man-group/dtale) |