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Occupancy Detection/README.md
Data Science Dojo <br/>
Copyright (c) 2016 - 2019
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**Level** Intermediate <br/>
**Recommended Use:** Classification Models<br/>
**Domain:** Computer<br/>
## Occupancy Detection Data Set
### Detect Occupancy through Light, Temperature, Humidity and CO2 sensors
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![](O6YGSH0.jpg)
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This *intermediate* level data set has 398 rows and 9 columns and provides mileage, horsepower, model year, and other technical specifications for cars. This data set is recommended for learning and practicing your skills in **exploratory data analysis**, **data visualization**, and **regression 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 | | Column Position | Atrribute Name | Definition | Data Type | Example | % Null Ratios |
|------------------- |---------------- |------------------------------------------------------------------------------------------------------ |-------------- |------------------------------------------------ |--------------- | |------------------- |---------------- |------------------------------------------------------------------------------------------------------ |-------------- |------------------------------------------------ |--------------- |
...@@ -11,3 +31,11 @@ ...@@ -11,3 +31,11 @@
| 5 | CO2 | CO2 in parts per million (ppm) | Quantitative | 489.666667, 495.500000, 534.500000 | 0 | | 5 | CO2 | CO2 in parts per million (ppm) | Quantitative | 489.666667, 495.500000, 534.500000 | 0 |
| 6 | HumidityRatio | Humadity ratio: Derived quantity from temperature and relative humidity, in kgwater-vapor/kg-air | Quantitative | 0.004986, 0.005088, 0.005203 | 0 | | 6 | HumidityRatio | Humadity ratio: Derived quantity from temperature and relative humidity, in kgwater-vapor/kg-air | Quantitative | 0.004986, 0.005088, 0.005203 | 0 |
| 7 | Occupancy | Occupied or not: 1 for occupied and 0 for not occupied | Quantitative | 1, 0 | 0 | | 7 | Occupancy | Occupied or not: 1 for occupied and 0 for not occupied | Quantitative | 1, 0 | 0 |
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### Acknowledgement
This data set has been sourced from the Machine Learning Repository of University of California, Irvine [Occupancy Detection Data Set (UC Irvine)](https://archive.ics.uci.edu/ml/datasets/Occupancy+Detection+#). The UCI page mentions the following publication [Accurate occupancy detection of an office room from light, temperature, humidity and CO2 measurements using statistical learning models. Luis M. Candanedo, Véronique Feldheim. Energy and Buildings. Volume 112, 15 January 2016, Pages 28-39](https://www.researchgate.net/profile/Luis_Candanedo_Ibarra/publication/285627413_Accurate_occupancy_detection_of_an_office_room_from_light_temperature_humidity_and_CO2_measurements_using_statistical_learning_models/links/5b1d843ea6fdcca67b690c28/Accurate-occupancy-detection-of-an-office-room-from-light-temperature-humidity-and-CO2-measurements-using-statistical-learning-models.pdf?origin=publication_detail) as the original source of the data set.
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