Update README.md

Author: SaiyathAliFathima

README.md

@@ -1,2 +1,18 @@
-# Creating-the-WPF-chart-with-Azure-open-AI-for-Data-Cleaning-and-Preprocessing
-This article illustrates how to clean and preprocess data using Azure OpenAI in conjunction with a Syncfusion WPF chart.
+# Creating the WPF chart with Azure open AI for Data Cleaning and Preprocessing
+
+Creating a WPF chart that integrates with Azure OpenAI for data cleaning and preprocessing can significantly enhance the quality and presentation of your data. WPF's robust graphical capabilities allow developers to craft visually appealing and highly interactive charts, making it a popular choice for desktop applications that require sophisticated data visualization. Whether you are working with financial data, scientific metrics, or business analytics, WPF offers a wide range of chart types, from simple line and bar charts to more complex options like pie charts, scatter plots, and 3D visualizations. These charts can be easily customized to suit various themes and user preferences, providing an immersive experience for the end user.
+
+This article illustrates how to clean and preprocess data using Azure OpenAI in conjunction with a Syncfusion WPF chart.<img width="953" alt="Chart data" src="https://github.com/user-attachments/assets/5c102b73-b305-4a32-b1b2-e0bde866a4f8">
+
+<img width="953" alt="Chart data" src="https://github.com/user-attachments/assets/dc9d9023-7a1f-4273-b45c-d5e623dc3c96">
+
+
+<img width="953" alt="Cleaned data" src="https://github.com/user-attachments/assets/c52c59bf-0f78-40bc-9ebe-a44b744cb9f8">
+
+# Troubleshooting
+
+## Path too long exception
+If you are facing a path too long exception when building this example project, close Visual Studio and rename the repository to a shorter name before building the project.
+
+
+For a step-by-step procedure, refer to the [open AI for Data Cleaning and Preprocessing]() blog.