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Glass Identification/README.md
Data Science Dojo <br/>
Copyright (c) 2016 - 2019
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**Level:** Intermediate<br/>
**Recommended Use:** Classification Models<br/>
**Domain:** Physical<br/>
## Glass Identification Data Set
### Predict the type of glass
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![](211.jpg)
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This *intermediate* level data set has 214 rows and 10 columns.
The data set provides details about 6 types of glass, defined in terms of their oxide content (i.e. Na, Fe, K, etc).
This data set is recommended for learning and practicing your skills in **exploratory data analysis**, **data visualization**, and **classification modelling techniques**.
Feel free to explore the data set with multiple **supervised** and **unsupervised** learning techniques. The Following data dictionary gives more details on this data set:
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### Data Dictionary
| Column Position | Atrribute Name | Definition | Data Type | Example | % Null Ratios |
|------------------- |---------------- |----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |-------------- |--------------------------- |--------------- |
| 1 | Id number | Id number from 1 to 214 | Quantitative | 16, 75, 211 | 0 |
| 2 | RI | RI: Refractive Index | Quantitative | 1.51755, 1.51613, 1.51844 | 0 |
| 3 | Na | NA: Sodium (unit measurement: weight percent in corresponding oxide) | Quantitative | 13.19, 12.79, 14.21 | 0 |
| 4 | Mg | Mg: Magnesium (unit measurement: weight percent in corresponding oxide) | Quantitative | 3.82, 2.87, 3.59 | 0 |
| 5 | Al | Al: Aluminum (unit measurement: weight percent in corresponding oxide) | Quantitative | 1.56, 1.43, | 0 |
| 6 | Si | Si: Silicon (unit measurement: weight percent in corresponding oxide) | Quantitative | 73.20, 71.77, 72.95 | 0 |
| 7 | K | K: Potassium (unit measurement: weight percent in corresponding oxide) | Quantitative | 0.67, 0.57, 0.11 | 0 |
| 8 | Ca | Ca: Calcium (unit measurement: weight percent in corresponding oxide) | Quantitative | 8.09, 7.83, 9.57 | 0 |
| 9 | Ba | Ba: Barium (unit measurement: weight percent in corresponding oxide) | Quantitative | 0.00, 0.11, 0.27 | 0 |
| 10 | Fe | Fe: Iron (unit measurement: weight percent in corresponding oxide) | Quantitative | 0.11, 0.14, 0.00 | 0 |
| 11 | Type of Glass | Glas Type (1: building_windows_float_processed, 2: building_windows_non_float_processed, 3: vehicle_windows_float_processed, 4: vehicle_windows_non_float_processed, 5: containers, 6: tableware, 7: headlamps) | Quantitative | 2, 5, 7 | 0 |
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### Acknowledgement
This data set has been sourced from the Machine Learning Repository of University of California, Irvine [Glass Identification Data Set (UC Irvine)](https://archive.ics.uci.edu/ml/datasets/Glass+Identification).
The UCI page mentions USA Forensic Science Service as the following as the original source of the data set.
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  • John @johnzamindar12345 commented

    The Glass Identification Data Set is perfect for baseball fanatic data enthusiasts! With 214 rows and 10 columns, it helps you practice classification models, exploratory data analysis, and visualization using oxide content to predict glass types. Great for hands-on learning with supervised and unsupervised techniques.

    Edited by John
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