# Working with air quality and meteorological data Exercises (Part-2)

August 29, 2017
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Atmospheric air pollution is one of the most important environmental concerns in many countries around the world, and it is strongly affected by meteorological conditions. Accordingly, in this set of exercises we use `openair` package to work and analyze air quality and meteorological data. This packages provides tools to directly import data from air quality measurement network across UK, as well as tools to analyse and producing reports.

In the previous exercise set we used data from MY1 station to see how to import data and extract basic statistical information from data. In this exercise set we will use some basic and useful functions that are available in `openair` package to analyze and visualize MY1 data.

Answers to the exercises are available here.

For other parts of this exercise set follow the tag openair

Please load the package `openair` before starting the exercises.

Exercise 1
Use `summaryPlot` function to plot timeseries and histogram for pm10, and o3

Exercise 2
Use `windRose` function to plot monthly wind rose.

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[Intermediate] Spatial Data Analysis with R, QGIS & More
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Exercise 3
Use `pollutionRose` function to plot monthly pollution roses for
a. pm10
b. pm2.5
b. nox
c. no
d. o3

Exercise 4
Use `pollutionRose` to plot seasonal pollution roses for
a. pm10
b. pm2.5
b. nox
c. no
d. o3

Exercise 5
Use `percentileRose` function to plot monthly percentile roses for
a. pm10
b. pm2.5
b. nox
c. no
d. o3

Exercise 6
Use `polarCluster` function to plot cluster roses plot for
a. pm10
b. pm2.5
b. nox
c. no
d. o3

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