I need desertation written on the below

Pollution Equity in London
A Brief Description
These datasets are obtained from the London Datastore https://data.london.gov.uk – each one relates to a kind of pollution – either potentially problematic materials in the air, or levels of noise. The key files are
Rail_Lden_London.geojson
Road_Lden_London.geojson
These measure daily average decibel levels for road- and rail-originated noise in London. In addition, the file pm25.csv gives average levels of (textsf{PM}_{textsf{2.5}}) per Output Area (OA) in London. OAs are the smallest geographical census units in the UK ( https://data.london.gov.uk/dataset/pm2-5-map-and-exposure-data). (textsf{PM}_{textsf{2.5}}) is the concentration of solid particles and liquid droplets with a diameter less than 2.5 micrometres, and is thought to be the air pollutant which has the greatest impact on human health.
Finally the file LOAC.geojson contains a map layer with the boundary each of the OAs in London, together with their OAC (output area classification). The OAC is a geodemographic classification applied to each OA used to describe the social and economic composition of its population. There are three levels of detail for the classification: Supergroup, Group and Subgroup with column names Sub,Group and Super. Typical examples of the codes are:

Supergroup H (Urban Settlements) : The areas are characterised by a slightly younger age structure than nationally, with higher proportions of all groups aged 45 and under (covering the age groups 0 to 4 years, 5 to 14 years and 25 to 44 years). Ethnic groups are over-represented compared with the national picture and households are more likely to live in semi-detached or terraced housing.

Group H2 (Suburban Traits) : This group has a higher proportion of people aged 25 to 44 years than the supergroup and a higher proportion have Chinese, Black, African, Caribbean or Black British ethnicity, and are likely to live in flats.

Subgroup H2a (City Periphery) : The subgroup has a slightly older age profile than its parent group and a larger proportion were born in the UK. Residents are more likely to live in a terraced property or flats.

Thus, ‘drilling down’ to more detailed levels gives a greater level of description. Full details can be found here: https://www.ons.gov.uk/methodology/geography/geographicalproducts/areaclassifications/2011areaclassifications/penportraitsandradialplots – note that in our data the Supergroups are labelled A-H, but are referred to in the description as 1-8, similar for the Groups (but with roles of letters and numbers reversed) and Subgroups.
The noise pollution data can be read in to R using the following code:

library(tidyverse)

library(sf)

rail_noise

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