Commit e4b8dd43 by Rahim Rasool

Update README.md

parent 3a4e89bc
Data Science Dojo <br/>
Copyright (c) 2016 - 2019
---
**Level:** Intermediate <br/>
**Recommended Use:** Regression Models<br/>
**Domain:** Environment<br/>
## Beijing PM2.5 Data Set
### Pollution Level Forecasting
---
![](454.jpg)
---
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:
---
### Data Dictionary
| Column Position | Atrribute Name | Definition | Data Type | Example | % Null Ratios |
|------------------- |---------------- |---------------------------------------- |-------------- |-------------------------------------- |--------------- |
| 1 | No | No: row number | Quantitative | 22, 35, 48 | 0 |
| 2 | Year | Year: year of data in this row | Quantitative | 2012, 2013, 2014 | 0 |
| 3 | Month | Month: month of data in this row | Quantitative | 2, 4, 5 | 0 |
| 4 | Day | Day: day of data in this row | Quantitative | 11, 20, 31 | 0 |
| 5 | Hour | Hour: hour of data in this row | Quantitative | 22, 3, 4 | 0 |
| 6 | PM2.5 | PM2.5: PM2.5 concentration (ug/m^3) | Quantitative | 16.0, 12.0, 5.0 | 5 |
| 7 | DEWP | DEWP: Dew Point (℃) | Quantitative | 0, -11, 8 | 0 |
| 8 | TEMP | TEMP: Temperature (℃) | Quantitative | 27.000000, -3.000000, 2.000000 | 0 |
| 9 | PRES | PRES: Pressure (hPa) | Quantitative | 1025.000000, 997.000000, 1044.000000 | 0 |
| 10 | cbwd | cbwd: Combined wind direction | Quantitative | SE, NW, NE | 0 |
| 11 | Iws | Iws: Cumulated wind speed (m/s) | Quantitative | 24.15, 27.28, 16.10 | 0 |
| 12 | Ir | Is: Cumulated hours of snow | Quantitative | 5, 10, 22 | 0 |
| 13 | Is | Ir: Cumulated hours of rain | Quantitative | 11, 19, 17 | 0 |
---
### 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*
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment