ijghb/delhi_air_quality_feature_store_unprocessed.csv

---
license: apache-2.0
language:
- en
tags:
- climate
size_categories:
- 1M<n<10M
---
---

**Dataset Information:**

- **Name:** Delhi Air Quality and Weather Data
- **Version:** 1.0.0
- **Description:**
This dataset contains **4.5M** records of hourly weather and air quality data from multiple locations across Delhi, India, collected over several years. The data spans from March 2000 to November 2024 and includes measurements from all 23 AQI monitoring centers in Delhi.
The dataset provides environmental parameters such as temperature, humidity, atmospheric pressure, wind speed, wind direction, and concentrations of pollutants (PM2.5, PM10, NO2, SO2, O3, CO), along with the corresponding Air Quality Index (AQI).
It is useful for analyzing air quality, studying weather patterns, and tracking environmental trends in Delhi. The dataset covers various locations like PGDAV College, Sonia Vihar, Anand Vihar, and Pusa, among others.

- **Citation:**
If you use this dataset in your research or project, please cite it as follows:
Abhinav. (2024). "Delhi Air Quality and Weather Data". Dataset retrieved from Hugging Face.

- **Size:** 615 MB (Please verify and update with the actual dataset size).

---

**Dataset Fields:**

- **location_id:** Integer identifier for each location.
- **city:** The name of the city or specific location in Delhi.
- **event_timestamp:** The timestamp when the data was recorded, in ISO 8601 format.
- **temperature:** Ambient temperature in Celsius.
- **humidity:** Relative humidity as a percentage.
- **pressure:** Atmospheric pressure in hPa.
- **wind_speed:** Wind speed in m/s.
- **wind_direction:** Wind direction in degrees.
- **pm25:** Concentration of particulate matter with a diameter of 2.5 micrometers (µg/m³).
- **pm10:** Concentration of particulate matter with a diameter of 10 micrometers (µg/m³).
- **no2:** Concentration of nitrogen dioxide (µg/m³).
- **so2:** Concentration of sulfur dioxide (µg/m³).
- **o3:** Concentration of ozone (µg/m³).
- **co:** Concentration of carbon monoxide (µg/m³).
- **aqi:** Air Quality Index, a measure of the level of air pollution.

---

**Data Quality:**

- The dataset contains some missing values in columns like temperature, humidity, and others for specific rows. These missing values need to be addressed during the analysis phase.
- The dataset includes data points spanning multiple years, with timestamp values ranging from 2000 to 2024.

---

**Usage with `load_dataset`:**

You can load this dataset using the Hugging Face `datasets` library with the following code:

```python
from datasets import load_dataset

dataset = load_dataset("abhinavsarkar/delhi_air_quality_feature_store_unprocessed.csv")
```

---

---
license: apache-2.0
language:
- 英语
tags:
- 气候
size_categories:
- 100万 < 数据量 < 1000万
---

**数据集信息：**

- **名称：** 德里空气质量与气象数据集
- **版本：** 1.0.0
- **描述：** 本数据集包含印度德里全域23个空气质量指数（Air Quality Index, AQI）监测站点历时数年采集的450万条小时级气象与空气质量记录，时间跨度为2000年3月至2024年11月。
数据集涵盖气温、相对湿度、大气压强、风速、风向等气象参数，以及PM2.5、PM10、二氧化氮(NO₂)、二氧化硫(SO₂)、臭氧(O₃)、一氧化碳(CO)等污染物浓度数据，同时附带对应的空气质量指数。
该数据集可用于分析德里地区空气质量、研究气象模式及追踪环境变化趋势，覆盖点位包括PGDAV学院、索尼娅哈尔、阿南德维哈尔、普萨等。

- **引用规范：** 若您在研究或项目中使用本数据集，请按以下格式引用：
Abhinav. (2024). "德里空气质量与气象数据集". 数据集源自Hugging Face平台。

- **数据大小：** 615 MB（请核实并更新为数据集实际大小）

---

**数据集字段：**

- **location_id：** 各监测点位的整数标识符
- **city：** 德里境内的城市或具体监测点位名称
- **event_timestamp：** 数据记录的时间戳，采用ISO 8601格式
- **temperature：** 环境气温，单位为摄氏度
- **humidity：** 相对湿度，单位为百分比
- **pressure：** 大气压强，单位为百帕(hPa)
- **wind_speed：** 风速，单位为米每秒(m/s)
- **wind_direction：** 风向，单位为角度
- **pm25：** 直径2.5微米的颗粒物浓度，单位为微克/立方米(µg/m³)
- **pm10：** 直径10微米的颗粒物浓度，单位为微克/立方米(µg/m³)
- **no2：** 二氧化氮(NO₂)浓度，单位为微克/立方米(µg/m³)
- **so2：** 二氧化硫(SO₂)浓度，单位为微克/立方米(µg/m³)
- **o3：** 臭氧(O₃)浓度，单位为微克/立方米(µg/m³)
- **co：** 一氧化碳(CO)浓度，单位为微克/立方米(µg/m³)
- **aqi：** 空气质量指数（Air Quality Index, AQI），用于衡量空气污染水平

---

**数据质量：**

- 数据集部分行的气温、湿度等列存在缺失值，分析阶段需对这些缺失值进行处理
- 数据集覆盖多年数据，时间戳范围为2000年至2024年

---

**使用`load_dataset`加载方法：**

您可通过Hugging Face `datasets`库加载本数据集，代码如下：

python
from datasets import load_dataset

dataset = load_dataset("abhinavsarkar/delhi_air_quality_feature_store_unprocessed.csv")

---