Thank you. 
Of course , I added a link to the post with graphics.
It’s my first Dash App 
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@natatsypora , this was really cool an unique! I didn’t know you can create wordclouds from a png like that! Also didn’t know about py.cafe, thank you for sharing and letting us review the code. Great stuff!
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Hello, Plotly Community!
I’m thrilled to share with you my mini Dash application, which is designed for visualizing Repair Café data and gaining insights into repair activities.
My focus was on categories and products and their repair status.
Visualizations:
- Metrics Card: Basic statistics, including total number of items repaired and overall success of repair.
- Top 10 Categories : Barpolar chart display the most repaired item categories, providing a clear view of their repair status.
- Top 20 Products: Detailed barpolar charts highlight the most commonly repaired products, shedding light on repair priorities.
- Scatter Plot with Dropdown: Interactive scatter plots allow users to explore data at the level of a single category or product.
- AG Grid Tables: Detailed tables for categories and products with filters and sorting offer in-depth insights into repair statistics. The table data can be saved in CSV format.
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Fantastic! Great work! 
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