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Data Science Dojo <br/>
Copyright (c) 2016 - 2019

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**Level:** Beginner <br/>
**Recommended Use:** Classification Models<br/>
**Domain:** Mobile/Location<br/> 

## Wireless Indoor Localization Data Set 

### Predict location from wifi signal strength 


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![](181.jpg)
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This *beginner* level data set has 2000 rows and 8 columns.
The data set contains wifi signal strength observed from 7 wifi devices on a smartphone collected in indoor space. 
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The data could be used to estimate the location in one of the four rooms.
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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                 	| Wifi 1         	| Signal strength of wifi 1            	| Quantitative 	| -42, -67, -50 	| 0             	|
| 2                 	| Wifi 2         	| Signal strength of wifi 2            	| Quantitative 	| -58, -64, -40 	| 0             	|
| 3                 	| Wifi 3         	| Signal strength of wifi 3            	| Quantitative 	| -65, -50, -70 	| 0             	|
| 4                 	| Wifi 4         	| Signal strength of wifi 4            	| Quantitative 	| -63, -59, -37 	| 0             	|
| 5                 	| Wifi 5         	| Signal strength of wifi 5            	| Quantitative 	| -80, -73, -56 	| 0             	|
| 6                 	| Wifi 6         	| Signal strength of wifi 6            	| Quantitative 	| -90, -75, -64 	| 0             	|
| 7                 	| Wifi 7         	| Signal strength of wifi 7            	| Quantitative 	| -91, -65, -83 	| 0             	|
| 8                 	| Room           	| One of the four rooms (1, 2, 3,   4) 	| Quantitative 	| 1, 2, 3       	| 0             	|

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### Acknowledgement

This data set has been sourced from the Machine Learning Repository of University of California, Irvine [Wireless Indoor Localization Data Set (UC Irvine)](https://archive.ics.uci.edu/ml/datasets/Wireless+Indoor+Localization). 
The UCI page mentions the following 2 publications as the original source of the data set:

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*1. Rajen Bhatt, 'Fuzzy-Rough Approaches for Pattern Classification: Hybrid measures, Mathematical analysis, Feature selection algorithms, Decision tree algorithms, Neural learning, and Applications', Amazon Books*<br/> 
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*2. Jayant G Rohra, Boominathan Perumal, Swathi Jamjala Narayanan, Priya Thakur, and Rajen B Bhatt, 'User Localization in an Indoor Environment Using Fuzzy Hybrid of Particle Swarm Optimization & Gravitational Search Algorithm with Neural Networks', in Proceedings of Sixth International Conference on Soft Computing for Problem Solving,2017, pp. 286-295.*