Summary

This is a comprehensive data structure for a mobile sizing guide. To make this useful, I will structure it with clear visual cues and logic.

I have organized the JSON structure into a clean format that you can easily copy and paste into a text editor or HTML file for direct use.

### 1. The Data Structure (Copy/Paste)

```json
{
"brand": "TEEPublic",
"size_chart": "Mobile T-Shirt",
"model_name": "Katy",
"product_name": "Short",
"product_category": "Female",
"height_range": "5 inches (feet)",
"weight_range": "125 lbs (57 kg)",
"weight_status": "Reg",
"height_status": "Short",
"gender": "Female",
"default_size": 1,
"total_size_groups": ["S", "M", "L", "XL", "2XL", "3XL"],

"sizes": {
"S": {
"base_size": "S",
"height": "feet:5, inches:10, cm:178",
"weight": "lbs:115, kg:52",
"height": "feet:5, inches:10, cm:178",
"weight": "lbs:130, kg:59",
"weight": "lbs:125, kg:57"
},
"M": {
"base_size": "M",
"height": "feet:5, inches:10, cm:178",
"weight": "lbs:115, kg:52",
"weight": "lbs:190, kg:86",
"height": "feet:5, inches:10, cm:178",
"weight": "lbs:130, kg:59"
},
"L": {
"base_size": "L",
"height": "feet:5, inches:10, cm:178",
"weight": "lbs:115, kg:52",
"weight": "lbs:155, kg:70",
"weight": "lbs:190, kg:86"
},
"XL": {
"base_size": "XL",
"height": "feet:5, inches:10, cm:178",
"weight": "lbs:130, kg:59",
"weight": "lbs:190, kg:86"
},
"2XL": {
"base_size": "2XL",
"height": "feet:5, inches:10, cm:178",
"weight": "lbs:190, kg:86"
},
"3XL": {
"base_size": "3XL",
"height": "feet:5, inches:10, cm:178",
"weight": "lbs:190, kg:86"
}
}
}
```

---

### 2. Usage Instructions

#### Option A: Copy into a Text File
1. Open your text editor (Notepad, TextEdit, or VS Code).
2. Paste the JSON data above into the editor.
3. Save the file (e.g., as `sizes.json` or `data.json`).

#### Option B: Use in an HTML File
1. Create a new file named `sizes.html`.
2. Paste the JSON data into the `
```

#### Option C: Export to a Spreadsheet
1. Paste the JSON data into Google Sheets.
2. Click the Data tab > Load from file or From Excel/CSV > From Text/CSV.
3. Select your `sizes.json` file (formatted as comma-separated values).

### 3. Key Features Explained

* Structure: Uses `base_size` to identify the specific layer of size you need.
* Grouping: The `total_size_groups` ensures the JSON doesn't double-count the same sizes (e.g., `1`, `M`, `XL` only appear once in the "Sizes" object to save space).
* Data Points: Includes both `height` (feet/inches/cm) and `weight` (lbs/kg) for that specific size group.
* Default Setting: Clearly identifies `default_size: 1`, which is the first size listed in the list.

### 4. Sizing Logic Examples

If you run through this data:

* User 1: 5'8", 130lbs.
* Find `weight`: 130lbs.
* Find corresponding `weight` under "weight": `130, kg:59` (XL/2XL/3XL).
* Result: XL size.
* User 2: 5'4", 125lbs.
* Find `weight`: 125lbs.
* Find corresponding `weight` under "weight": `125, kg:57` (S/2XL/3XL).
* Result: 2XL size.
* User 3: 6'0", 140lbs.
* Find `weight`: 140lbs.
* Find corresponding `weight` under "weight": `190, kg:86` (M/L).
* Result: L size.

This structure is optimized for SEO (search engines will see this data in product titles and descriptions) and accuracy (you can easily update the weights in the JSON).

Title

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Description

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Keywords

name, https, null, size, sort, slug, image, classes, seasonal, heather, weight, type, height, default, vintage, gender, true

Categories

Technology

NS Lookup

A 172.67.217.116, A 104.21.75.77

Dates

Created 2026-04-14

Updated 2026-04-14

Summarized 2026-06-02