FastAPI Data Analysis Project Instructions

This is a full-stack Python project with FastAPI backend and Jinja2 frontend for data analysis and management.

Project Structure

Backend API Endpoints:
- GET
```
/api/analyze
```
  - Dataset analysis and summary
- GET
```
/api/data
```
  - Retrieve top/bottom rows with query parameters
- POST
```
/api/data
```
  - Add new records
- PUT
```
/api/data/{id}
```
  - Update existing records
- DELETE
```
/api/data/{id}
```
  - Delete records
Frontend Pages:
- ```
/
```
  - Main dashboard with data visualization
- ```
/add
```
  - Add new record form
- ```
/edit/{id}
```
  - Edit existing record form
- ```
/data_cleaning
```
  - Data cleaning tools and filters

This is a full-stack Python project with FastAPI backend and Jinja2 frontend for data analysis and management.

Backend API Endpoints:
- GET
```
/api/analyze
```
  - Dataset analysis and summary
- GET
```
/api/data
```
  - Retrieve top/bottom rows with query parameters
- POST
```
/api/data
```
  - Add new records
- PUT
```
/api/data/{id}
```
  - Update existing records
- DELETE
```
/api/data/{id}
```
  - Delete records
Frontend Pages:
- ```
/
```
  - Main dashboard with data visualization
- ```
/add
```
  - Add new record form
- ```
/edit/{id}
```
  - Edit existing record form
- ```
/data_cleaning
```
  - Data cleaning tools and filters