Wireless Indoor Localization
Donated on 12/3/2017
Collected in indoor space by observing signal strengths of seven WiFi signals visible on a smartphone. The decision variable is one of the four rooms.
Dataset Characteristics
Multivariate
Subject Area
Computer Science
Associated Tasks
Classification
Feature Type
Real
# Instances
2000
# Features
-
Dataset Information
Additional Information
Collected to perform experimentation on how wifi signal strengths can be used to determine one of the indoor locations.
Has Missing Values?
No
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no |
0 to 7 of 7
Additional Variable Information
Each attribute is wifi signal strength observed on smartphone.
Dataset Files
| File | Size |
|---|---|
| wifi_localization.txt | 60.5 KB |
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Install the ucimlrepo package
pip install ucimlrepo
Import the dataset into your code
View the full documentationfrom ucimlrepo import fetch_ucirepo # fetch dataset wireless_indoor_localization = fetch_ucirepo(id=422) # data (as pandas dataframes) X = wireless_indoor_localization.data.features y = wireless_indoor_localization.data.targets # metadata print(wireless_indoor_localization.metadata) # variable information print(wireless_indoor_localization.variables)
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Citation
Bhatt, R. (2017). Wireless Indoor Localization [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C51880.
Style:
Creators
Rajen Bhatt
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.