Projects using Tkinter GUI, Pandas for analysis with Database

Tools we will be using .

Tkinter File Browser, Pandas, and SQLite

1. Building a CSV Import Tool with Tkinter, Pandas, and SQLite

• Use Tkinter's file browser to let users select a CSV file.
• Use Pandas to read and preprocess the data.
• Save the processed data into an SQLite database for easy storage and querying.

2. Creating a GUI Application for Database Export to CSV

• Build a Tkinter GUI where users can select a table from an SQLite database.
• Export the table data to a CSV file using Pandas.
• Use the file browser to let users specify the save location.

3. Developing a Data Viewer with Tkinter and SQLite

• Use Tkinter to design a GUI for selecting an SQLite database file.
• Display the data from a selected table in a Pandas DataFrame, rendered as a Tkinter treeview widget.
• Enable filtering and sorting capabilities.

4. Interactive CSV to SQLite Loader with Progress Tracking

• Create a Tkinter-based app where users can load CSV files.
• Display progress (e.g., using a progress bar) as Pandas inserts data into an SQLite database.

5. Data Cleanup GUI: Loading CSV, Cleaning with Pandas, and Saving to SQLite

• Build a GUI for importing raw CSV data via the file browser.
• Allow users to clean and preprocess data (e.g., handling missing values or duplicate entries) using Pandas.
• Save the cleaned data into an SQLite database.

6. CSV file to XML converter with Pandas and Tkinter

• Design a Tkinter GUI to browse and upload CSV file.
• Use Pandas for creating DataFrame and save it as xml file using file save dialog .

7. CSV file to XML or JSON converter with Pandas and Tkinter

• Design a Tkinter GUI to browse and upload CSV file.
• Use Pandas for creating DataFrame and save it as xml or Json file using file save dialog.

8. Database Query and Visualization App with Pandas and Tkinter

• Design a Tkinter GUI to query data from an SQLite database.
• Use Pandas for running complex queries and data manipulations.
• Visualize the results using a Tkinter canvas or Matplotlib.

9. Dynamic Schema Creation from CSV to SQLite using Tkinter

• Build an app where users select a CSV file.
• Dynamically create an SQLite table based on the CSV structure and import the data.
• Include error handling for mismatched or corrupted files.

10. Simple Data Analysis App with Tkinter and Pandas

• Use a file browser to load CSV files into Pandas DataFrames.
• Let users perform basic data analysis operations (e.g., describe, group by, pivot tables) using a Tkinter GUI.
• Save the processed data to an SQLite database for future use.

11. SQLite Database Explorer with Tkinter

• Create a GUI for browsing SQLite database files.
• Allow users to view table structures, query data, and export results to CSV using Pandas.

12. Excel file to XML file

• Build an app where users browse and select excel file.
• Use Pandas to process the file and show file save dialog box.
• Save the file in XML format at user selected location using GUI.

13. File browser with column sorting

• Browse to select a directory.
• Display all contents inside the directory with columns saying Date, size , type etc .
• Sort the display by using the column headers.

14. Batch File Processor: Loading Multiple CSVs into SQLite

• Build an app where users select multiple CSV files via the file browser.
• Use Pandas to process the files and combine them into a single SQLite database.
• Provide a summary of the processed data in the GUI.