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varmapping2.yml
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---
# The data file can be downloaded by running the get_simd.sh script in data/
path: data/simd2020_withinds_clean.csv
type: csv
metadata:
population:
2020: Total_population
working_age_population:
2020: Working_Age_population
overcrowded_count:
2020: overcrowded_count
variables:
- geometry: Data_Zone
db_var: overall_simd
file_var: SIMD2020v2_Rank
year: 2020
colormethod: quantile
colormap: YlOrBr
nclasses: 5
reverse_color: True
- geometry: Data_Zone
db_var: income_rank
file_var: SIMD2020v2_Income_Domain_Rank
year: 2020
colormethod: quantile
colormap: PuBu
nclasses: 5
reverse_color: True
- geometry: Data_Zone
db_var: employment_rank
file_var: SIMD2020_Employment_Domain_Rank
year: 2020
colormethod: quantile
colormap: OrRd
nclasses: 5
reverse_color: True
- geometry: Data_Zone
db_var: health_rank
file_var: SIMD2020_Health_Domain_Rank
year: 2020
colormethod: quantile
colormap: BuGn
nclasses: 5
reverse_color: True
- geometry: Data_Zone
db_var: education_rank
file_var: SIMD2020_Education_Domain_Rank
year: 2020
colormethod: quantile
colormap: PuRd
nclasses: 5
reverse_color: True
- geometry: Data_Zone
db_var: geographic_access_domain_rank
file_var: SIMD2020_Access_Domain_Rank
year: 2020
colormethod: quantile
colormap: RdPu
nclasses: 5
reverse_color: True
- geometry: Data_Zone
db_var: crime_rank
file_var: SIMD2020_Crime_Domain_Rank
year: 2020
colormethod: quantile
colormap: BuPu
nclasses: 5
reverse_color: True
- geometry: Data_Zone
db_var: housing_rank
file_var: SIMD2020_Housing_Domain_Rank
year: 2020
colormethod: quantile
colormap: Reds
nclasses: 5
reverse_color: True
- geometry: Data_Zone
db_var: income_rate
file_var: income_rate
year: 2020
colormethod: quantile
colormap: PuBu
nclasses: 5
aggregatemethod: percentage
- geometry: Data_Zone
db_var: employment_rate
file_var: employment_rate
year: 2020
colormethod: quantile
colormap: OrRd
nclasses: 5
aggregatemethod: percentage
aggregatemeta: working_age_population
- geometry: Data_Zone
db_var: hospital_stays_alcohol
file_var: ALCOHOL
year: 2020
colormethod: manual
colormap: RdYlBu
break_values: [0, 25, 50, 100, 150, 1000000]
reverse_color: True
- geometry: Data_Zone
db_var: hospital_stay_drugs
file_var: DRUG
year: 2020
colormethod: manual
colormap: RdYlBu
break_values: [0, 25, 50, 100, 150, 1000000]
reverse_color: True
- geometry: Data_Zone
db_var: mortality
file_var: SMR
year: 2020
colormethod: manual
colormap: RdYlBu
break_values: [0, 25, 50, 100, 150, 1000000]
reverse_color: True
- geometry: Data_Zone
db_var: drug_prescription
file_var: DEPRESS
year: 2020
colormethod: quantile
colormap: BuGn
nclasses: 5
- geometry: Data_Zone
db_var: low_weight_at_birth
file_var: LBWT
year: 2020
colormethod: quantile
colormap: BuGn
nclasses: 5
- geometry: Data_Zone
db_var: pupil_attendance
file_var: Attendance
year: 2020
colormethod: quantile
colormap: PuRd
nclasses: 5
reverse_color: True
- geometry: Data_Zone
db_var: education_attainment
file_var: Attainment
year: 2020
colormethod: quantile
colormap: PuRd
nclasses: 5
reverse_color: True
- geometry: Data_Zone
db_var: people_without_qualifications
file_var: no_qualifications
year: 2020
colormethod: manual
colormap: RdYlBu
break_values: [0, 25, 50, 100, 150, 1000000]
reverse_color: True
- geometry: Data_Zone
db_var: teenagers_not_studying_or_working
file_var: not_participating
year: 2020
colormethod: quantile
colormap: PuRd
nclasses: 5
- geometry: Data_Zone
db_var: youth_university_attendance
file_var: University
year: 2020
colormethod: quantile
colormap: PuRd
nclasses: 5
reverse_color: True
- geometry: Data_Zone
db_var: crime_rate
file_var: crime_rate
year: 2020
colormethod: quantile
colormap: BuPu
nclasses: 5
aggregatemethod: per_10000_capita
- geometry: Data_Zone # TODO add to variables table
db_var: overcrowded_housing
file_var: overcrowded_rate
year: 2020
colormethod: quantile
colormap: Reds
nclasses: 5
- geometry: Data_Zone
db_var: housing_without_central_heating
file_var: nocentralheating_rate
year: 2020
colormethod: manual # TODO: Too many values are 1 which prevents a 5-quantile calculation
colormap: Reds
break_values: [0, 1, 2, 5, 1000000]
# aggregatemethod: percentage