we will use LaqnData.csv for this exercise. each row of this dataset shows an hourly measurement recording of one of the following five air pollutants: NO$,$ NO$2,$ NOX, PM$10,$ PM$2\mathrm{.}5.$ The data was collected in a location in london for the entirety of the year $2017.$ read the data using Pandas and perform the following tasks:

a$.)$ the data has six columns. three of them, named "Site', 'Units', and 'Provisional or ratified' are not adding any informational values as they are the same across the whole dataset. Use the following code to drop them. air$\_$df$.$drop$($columns$=[\text{'}$Site$\text{'},$'Units','Provisional or Ratified'$],$ inplace$=$True$)$

b$)$ the dataset is in a long format. Apply the appropriate function to switch it to the wide format. Name the transformed Dataframe pvt$\_$df$.$

c$)$ draw and study the histogram and boxplots for columns of pvt$\_$df$.$