Update README.md

README.md

@@ -14,10 +14,12 @@ reasons, it opens up a whole new set of possibilities for how users can interact
 - [How can ChatGPT assist with programming?](#how-can-chatgpt-assist-with-programming)
 - [What are the limitations?](#what-are-the-limitations)
 - [What are the benefits?](#what-are-the-benefits)
+- [Installation and Setup](#installation-and-setup)
 - [Data Storage](#data-storage)
  - [Detailed Explanation of the Data Storage](#detailed-explanation-of-the-data-storage)
 - [Working with Images](#working-with-images)
 - [Working with Exel-Files](#working-with-excel-files)
+ - [Advanced Excel Processing](advanced-excel-processing)
 - [Working with Word-Files](#working-with-word-files)
 - [Working with PDF-Files](#working-with-pdf-files)
 
@@ -61,6 +63,14 @@ The code interpreter offers several benefits:
 - It can assist in learning Python programming and improving coding skills.
 - It can handle a variety of tasks, from simple calculations to data analysis and visualization.
 
+## Installation and Setup
+
+To execute the examples mentioned in this README, you need to install some Python libraries. You can install them using pip:
+
+```shell
+pip install pandas openpyxl python-docx PyPDF2 fpdf2 matplotlib pillow
+```
+
 ## Data Storage
 
 The code interpreter has access to a special directory, '/mnt/data', where it can read and write files. This can be used for operations that need to save or load data, like writing logs, saving plots, or loading data for analysis. However, no other locations on the filesystem can be accessed.
@@ -227,6 +237,55 @@ df['Age Next Year'] = df['Age'] + 1
 sorted_df = df.sort_values(by='Age', ascending=False)
 ```
 
+### Advanced Excel Processing
+
+Besides reading and writing Excel files, you can also perform advanced data processing tasks such as creating pivot tables or merging multiple Excel files.
+#### Creating a Pivot Table
+
+```python
+import pandas as pd
+
+# Load example data
+df = pd.read_excel('/mnt/data/example.xlsx')
+
+# Create a pivot table
+pivot_table = df.pivot_table(index='Category', values='Sales', aggfunc='sum')
+
+# Display the pivot table
+print(pivot_table)
+```
+#### Merging Multiple Excel Files
+
+```python
+import pandas as pd
+import glob
+
+# Read all Excel files in the directory
+files = glob.glob('/mnt/data/*.xlsx')
+
+# Merge data from all files
+df_list = [pd.read_excel(file) for file in files]
+merged_df = pd.concat(df_list, ignore_index=True)
+
+# Display the merged data
+print(merged_df.head())
+```
+
+#### Troubleshooting
+Here are some common issues and their solutions:
+
+1. ImportError: No module named '...':
+- Ensure that all required libraries are installed. Use pip install <library_name> to install any missing libraries.
+
+2. FileNotFoundError: [Errno 2] No such file or directory: '...':
+- Check the file path and ensure that the file is in the correct directory. Use absolute paths or ensure that the file is saved in /mnt/data.
+
+3. PermissionError: [Errno 13] Permission denied: '...':
+- Ensure that you have permissions to read and write in the /mnt/data directory.
+
+**If you encounter further issues, open an issue on GitHub or contact the project maintainer.**
+
+
 ### Working with Word Files
 
 Handling Microsoft Word files involves reading, writing, and modifying documents. Here’s how you can manage Word files using Python: