"Smog" big data analysis, how to use big data to predict smog

I just read a related article yesterday, which reads as follows:

As early as last week, the Environmental Protection Bureau issued a red warning of heavy air pollution, and many cities also took preventive measures, such as even and odd numbers being restricted and factories being shut down.

The smog weather appears more and more frequently, and it invades the human respiratory tract and lungs when people are unprepared, thus causing respiratory diseases and cardiovascular diseases, such as pharyngitis, emphysema, asthma, rhinitis, bronchitis and other inflammations.

With the smog, Xiao Strawberry wants to show you the wonderful use of BDP today-how to use BDP to check the smog situation in the whole country, and first come to a heat map of PM2.5 index to see if you live in these heavily polluted red areas.

after reading the macro situation, we can also check the detailed real-time data (after reading this picture, we suddenly feel that our friends living in Jiangsu, Zhejiang and Shanghai are so excited). For the data of their own cities, you can click "Read the original", click the circle of provinces in the chart and drill down to the city dimension.

Finally, I sent two Top lists for your reference (from the data point of view, Shijiazhuang is really the hardest hit area) ~

Article source, WeChat WeChat official account: Little Strawberry Play Data.