### 3.7. Resample, check WHO air quality and share your plots!
The problem with the hourly frequency is that you don't see much. In order to better visualize the data, we can use the `resample` function (https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.resample.html), which allows us to rescale our data by day (`'D'`), month (`'M'`) or year (`'Y'`).
1.**Try to use this function visualize the data at different frequencies.**
2.**Choose a station and a pollutant, and try to check if the WHO recommendations are respected** (https://www.c40knowledgehub.org/s/article/WHO-Air-Quality-Guidelines?language=en_US#:~:text=By%20reducing%20air%20pollution%20levels,than%203%20times%20a%20year.)
%% Cell type:code id: tags:
``` python
# your input here
```
%% Cell type:markdown id: tags:
### 3.8. Share your plots!
1. Go to https://app.mural.co/t/variabiliteclimatique4363/m/variabiliteclimatique4363/1632750150945/18bfd3f99d91bcebbc0e38b48161b6464e8a365a?sender=ufcbfba826e94d93c633c7410
2. Choose a station and a pollutant by putting a note with your name in a cell that has not yet been chosen
3. Adapt the code bellow to produce your figure, then save it and share it on the whiteboard to compare with other pollutants/stations!
NB: Choose a frequency consistent with the WHO recommendations, and a time period that allow to see what time of the year the levels are above WHO recommended guidelines.
