Dynamic Folder Reader

[ItsRikan]

Changes

1) Dynamic Folder Reader :

Fetches all files from the folder, tries to fetch all data, and makes a dataset using all possible files and enhanced docstrings
**Effect: ** Useful for real-life data where we have data in various formats (e.g., JSON, Excel, CSV)
**Changes Made In: ** dskit/core.py | read_folder function and dskit/io.py read_folder function

2) Zero Division Check :

Checks added to avoid zero division error
**Effect: ** Robust and reliable code structure
**Changes Made In: ** dskit/cleaning.py | outlier_summary and remove_outliers

[Sreoshh]

Proposed Solution

Extend the existing read_folder functionality to support automatic detection and loading of mixed file formats in a directory.
Specifically:

Add a new optional parameter--- dynamic: bool = False
— when set to True, read_folder will: detect file format per file (CSV, JSON, Excel),load each file individually into a Pandas DataFrame,unify them into a single combined DataFrame.
I know this feature has already been implemented in a Pull Request on the DsKit repository with multiple commits improving the read_folder logic and supporting dynamic loading of multiple formats but I’m open to feedback and willing to refactor it