From this dataset: The Beijing PM2.5 Data SetGoogle this to download the dataset: PM2.5 Data of Five Chinese Cities Data Set(from the archive of ics.UCI)

Description of the dataset:

1. No: row number

2. year: year of data in this row

3. month: month of data in this row

4. day: day of data in this row

5. hour: hour of data in this row

6. pm2.5: PM2.5 concentration (ug/m3 )

7. DEWP: Dew Point

8. TEMP: Temperature

9. PRES: Pressure (hP a)

10. cbwd: Combined wind direction: NE (North-East), SE (South-East), NW (North-West), cv (South-West)

11. Iws: Cumulated wind speed (m/s)

12. Is: Cumulated hours of snow

13. Ir: Cumulated hours of rain

Use R to answer the following question:

1. Provide a graphical summary, with explanations, to describe how the various numeric variables relate to each other.

2. Briefly describe if you find any relationship between pm2.5 and month. How do such patterns change across hour and cbwd?