This *intermediate* level data set has 43824 rows and 13 columns.
This hourly data set contains the PM2.5 data of US Embassy in Beijing. Meanwhile, meteorological data from Beijing Capital International Airport are also included.
The data seet could be used for pollution level forecasting using the Air quality attributes provided.
This data set will offer experience in Multi-variate Time Series Forecasting.
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 large number of features. 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 |
| 12 | Ir | Is: Cumulated hours of snow | Quantitative | 5, 10, 22 | 0 |
| 13 | Is | Ir: Cumulated hours of rain | Quantitative | 11, 19, 17 | 0 |
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### Acknowledgement
This data set has been sourced from the Machine Learning Repository of University of California, Irvine [Beijing PM2.5 Data Set (UC Irvine)](https://archive.ics.uci.edu/ml/datasets/Beijing+PM2.5+Data).
The UCI page mentions the following publication as the original source of the data set:
*Liang, X., Zou, T., Guo, B., Li, S., Zhang, H., Zhang, S., Huang, H. and Chen, S. X. (2015). Assessing Beijing's PM2.5 pollution: severity, weather impact, APEC and winter heating. Proceedings of the Royal Society A, 471, 20150257*
