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Concrete Compressive Strength/README.md
Data Science Dojo <br/>
Copyright (c) 2016 - 2019
---
**Level:** Intermediate <br/>
**Recommended Use:** Regression Models<br/>
**Domain:** Civil Engineering/Construction<br/>
## Concrete Compressive Strength Data Set
### Estimate compressive strength of concrete
---
![](123.jpg)
---
This *intermediate* level data set has 1030 rows and 9 columns.
Concrete is the most important material in civil engineering. The concrete compressive strength is a highly nonlinear function of age and ingredients
The actual concrete compressive strength (MPa) for a given mixture under a specific age (days) was determined from laboratory. Data is in raw form (not scaled).
This data set is recommended for learning and practicing your skills in **exploratory data analysis**, **data visualization**, and **regression modelling techniques**.
It also allows you to practice with non-linear functions. 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 | Cement (component 1)(kg in a m^3 mixture) | Cement (component 1) -- Kilogram in a meter-cube mixture -- Input Variable | Quantitative | 194.68, 379.5, 167.95 | 0 |
| 2 | Blast Furnace Slag (component 2)(kg in a m^3 mixture) | Blast Furnace Slag (component 2) -- kg in a m3 mixture -- Input Variable | Quantitative | 0, 151.2, 42.08 | 0 |
| 3 | Fly Ash (component 3)(kg in a m^3 mixture) | Fly Ash (component 3) -- kg in a m3 mixture -- Input Variable | Quantitative | 100.52, 0, 163.83 | 0 |
| 4 | Water (component 4)(kg in a m^3 mixture) | Water (component 4) -- kg in a m3 mixture -- Input Variable | Quantitative | 165.62, 153.9, 121.75 | 0 |
| 5 | Superplasticizer (component 5)(kg in a m^3 mixture) | Superplasticizer (component 5) -- kg in a m3 mixture -- Input Variable | Quantitative | 7.48, 15.9, 5.72 | 0 |
| 6 | Coarse Aggregate (component 6)(kg in a m^3 mixture) | Coarse Aggregate (component 6) -- kg in a m3 mixture -- Input Variable | Quantitative | 1006.4, 1134.3, 1058.7 | 0 |
| 7 | Fine Aggregate (component 7)(kg in a m^3 mixture) | Fine Aggregate (component 7) -- kg in a m3 mixture -- Input Variable | Quantitative | 905.9, 605, 780.11 | 0 |
| 8 | Age (day) | Age -- Day (1-365) -- Input Variable | Quantitative | 56, 91, 28 | 0 |
| 9 | Concrete compressive strength(MPa, megapascals) | Concrete compressive strength -- MegaPascals -- Output Variable | Quantitative | 33.96358776, 56.49566344, 32.8535314 | 0 |
---
### Acknowledgement
This data set has been sourced from the Machine Learning Repository of University of California, Irvine [Concrete Compressive Strength Data Set (UC Irvine)](https://archive.ics.uci.edu/ml/datasets/Concrete+Compressive+Strength).
The UCI page mentions the following publication as the original source of the data set:
*I-Cheng Yeh, "Modeling of strength of high performance concrete using artificial neural networks," Cement and Concrete Research, Vol. 28, No. 12, pp. 1797-1808 (1998)*
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