add: Iris Dataset Example to community_gallery

[hemants1703]

---

name: Hemant Sharma
about: created this PR introducing a new example to the community_gallery/iris_preswald_data_app folder.
title: 'iris_preswald_data_app'
labels: 'preswald, pyhton, ml, iris-dataset'
assignees: ''

Description of Changes
This pull request introduces a new example to the community_gallery/ folder, featuring an interactive data application built with Preswald using the well-known Iris dataset. Sourced from the UCI Machine Learning Repository, the Iris dataset is a staple in data science due to its simplicity and versatility, making it an ideal candidate to showcase Preswald’s powerful features.

Key Features of the App
Interactive UI: A slider enables users to filter the dataset by minimum petal length, offering a dynamic and user-friendly experience.
Data Manipulation: Real-time filtering of the dataset based on slider input demonstrates Preswald’s capability to process user-driven queries seamlessly.
Visualization: A scatter plot displaying sepal length vs. sepal width, colored by species, updates dynamically as the filter changes, leveraging Preswald’s integration with Plotly for stunning, interactive visuals.

Explore the app live here: Video Link

Type of Change

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• Documentation update
• New example
• Test improvement

Testing
Please describe the tests that you ran to verify your changes. Include screenshots/videos.

Checklist

• My code follows the style guidelines of this project
• I have performed a self-review of my own code
• I have commented my code, particularly in hard-to-understand areas
• I have made corresponding changes to the documentation
• My changes generate no new warnings
• I have run my code against examples and ensured no errors
• Any dependent changes have been merged and published in downstream modules