London Borough Demographics
Analyze profiles of London's boroughs
@kaggle.marshald_london_boroughs
Analyze profiles of London's boroughs
@kaggle.marshald_london_boroughs
The London boroughs profiles Data about demography, diversity, labour market, economy, community safety, housing, environment, transport, children, health and governance
Thanks for taking your time to look at this data and thanks for any suggestions.
I am new to data analysis and I would like some suggestions on how to analyse this dataset and possibly create a visualasation, or predictive analysis.
CREATE TABLE london_borough_profiles_2016_data_set (
"code" VARCHAR,
"new_code" VARCHAR,
"area_name" VARCHAR,
"inner_outer_london" VARCHAR -- Inner/ Outer London,
"gla_population_estimate_2016" DOUBLE,
"gla_household_estimate_2016" VARCHAR,
"inland_area_hectares" VARCHAR -- Inland Area (Hectares),
"population_density_per_hectare_2016" VARCHAR -- Population Density (per Hectare) 2016,
"average_age_2016" DOUBLE -- Average Age, 2016,
"proportion_of_population_aged_0_15_2016" DOUBLE -- Proportion Of Population Aged 0-15, 2016,
"proportion_of_population_of_working_age_2016" DOUBLE -- Proportion Of Population Of Working-age, 2016,
"proportion_of_population_aged_65_and_over_2016" DOUBLE -- Proportion Of Population Aged 65 And Over, 2016,
"net_internal_migration_2014" VARCHAR -- Net Internal Migration (2014),
"net_international_migration_2014" VARCHAR -- Net International Migration (2014),
"net_natural_change_2014" VARCHAR -- Net Natural Change (2014),
"n__of_resident_population_born_abroad_2014" VARCHAR -- % Of Resident Population Born Abroad (2014),
"largest_migrant_population_by_country_of_birth_2011" VARCHAR -- Largest Migrant Population By Country Of Birth (2011),
"n__of_largest_migrant_population_2011" VARCHAR -- % Of Largest Migrant Population (2011),
"second_largest_migrant_population_by_country_of_birth_2011" VARCHAR -- Second Largest Migrant Population By Country Of Birth (2011),
"n__of_second_largest_migrant_population_2011" VARCHAR -- % Of Second Largest Migrant Population (2011),
"third_largest_migrant_population_by_country_of_birth_2011" VARCHAR -- Third Largest Migrant Population By Country Of Birth (2011),
"n__of_third_largest_migrant_population_2011" VARCHAR -- % Of Third Largest Migrant Population (2011),
"n__of_population_from_bame_groups_2016" VARCHAR -- % Of Population From BAME Groups (2016),
"n__people_aged_3_whose_main_language_is_not_english_20_e05612f1" VARCHAR -- % People Aged 3+ Whose Main Language Is Not English (2011 Census),
"overseas_nationals_entering_the_uk_nino_2014_15" DOUBLE -- Overseas Nationals Entering The UK (NINo), (2014/15),
"new_migrant_nino_rates_2014_15" DOUBLE -- New Migrant (NINo) Rates, (2014/15),
"largest_migrant_population_arrived_during_2014_15" VARCHAR,
"second_largest_migrant_population_arrived_during_2014_15" VARCHAR,
"third_largest_migrant_population_arrived_during_2014_15" VARCHAR,
"employment_rate_2015" DOUBLE -- Employment Rate (%) (2015),
"male_employment_rate_2015" VARCHAR -- Male Employment Rate (2015),
"female_employment_rate_2015" VARCHAR -- Female Employment Rate (2015),
"unemployment_rate_2015" VARCHAR -- Unemployment Rate (2015),
"youth_unemployment_claimant_rate_18_24_dec_14" VARCHAR -- Youth Unemployment (claimant) Rate 18-24 (Dec-14),
"proportion_of_16_18_year_olds_who_are_neet_2014" VARCHAR -- Proportion Of 16-18 Year Olds Who Are NEET (%) (2014),
"proportion_of_the_working_age_population_who_claim_out_b70a61d8" VARCHAR -- Proportion Of The Working-age Population Who Claim Out-of-work Benefits (%) (Aug-2015),
"n__working_age_with_a_disability_2015" VARCHAR -- % Working-age With A Disability (2015),
"proportion_of_working_age_people_with_no_qualifications_2015" VARCHAR -- Proportion Of Working Age People With No Qualifications (%) 2015,
"proportion_of_working_age_with_degree_or_equivalent_an_adc649b2" VARCHAR -- Proportion Of Working Age With Degree Or Equivalent And Above (%) 2015,
"gross_annual_pay_2015" VARCHAR -- Gross Annual Pay, (2015),
"gross_annual_pay_male_2015" VARCHAR -- Gross Annual Pay - Male (2015),
"gross_annual_pay_female_2015" VARCHAR -- Gross Annual Pay - Female (2015),
"modelled_household_median_income_estimates_2012_13" VARCHAR,
"n__adults_that_volunteered_in_past_12_months_2010_11_t_7c115b48" VARCHAR -- % Adults That Volunteered In Past 12 Months (2010/11 To 2012/13),
"number_of_jobs_by_workplace_2014" VARCHAR -- Number Of Jobs By Workplace (2014),
"n__of_employment_that_is_in_public_sector_2014" DOUBLE -- % Of Employment That Is In Public Sector (2014),
"jobs_density_2014" DOUBLE -- Jobs Density, 2014,
"number_of_active_businesses_2014" DOUBLE -- Number Of Active Businesses, 2014,
"two_year_business_survival_rates_started_in_2012" DOUBLE -- Two-year Business Survival Rates (started In 2012),
"crime_rates_per_thousand_population_2014_15" VARCHAR,
"fires_per_thousand_population_2014" VARCHAR -- Fires Per Thousand Population (2014),
"ambulance_incidents_per_hundred_population_2014" VARCHAR -- Ambulance Incidents Per Hundred Population (2014),
"median_house_price_2014" DOUBLE -- Median House Price, 2014,
"average_band_d_council_tax_charge_2015_16" VARCHAR -- Average Band D Council Tax Charge (£), 2015/16,
"new_homes_net_2014_15_provisional" VARCHAR -- New Homes (net) 2014/15 (provisional),
"homes_owned_outright_2014" VARCHAR -- Homes Owned Outright, (2014) %,
"being_bought_with_mortgage_or_loan_2014" VARCHAR -- Being Bought With Mortgage Or Loan, (2014) %,
"rented_from_local_authority_or_housing_association_2014" VARCHAR -- Rented From Local Authority Or Housing Association, (2014) %,
"rented_from_private_landlord_2014" VARCHAR -- Rented From Private Landlord, (2014) %,
"n__of_area_that_is_greenspace_2005" VARCHAR -- % Of Area That Is Greenspace, 2005,
"total_carbon_emissions_2013" DOUBLE -- Total Carbon Emissions (2013),
"household_waste_recycling_rate_2014_15" VARCHAR -- Household Waste Recycling Rate, 2014/15,
"number_of_cars_2011_census" DOUBLE -- Number Of Cars, (2011 Census),
"number_of_cars_per_household_2011_census" DOUBLE -- Number Of Cars Per Household, (2011 Census),
"n__of_adults_who_cycle_at_least_once_per_month_2013_14" VARCHAR -- % Of Adults Who Cycle At Least Once Per Month, 2013/14,
"average_public_transport_accessibility_score_2014" VARCHAR -- Average Public Transport Accessibility Score, 2014,
"achievement_of_5_or_more_a_c_grades_at_gcse_or_equival_7d37e0e5" VARCHAR -- Achievement Of 5 Or More A*- C Grades At GCSE Or Equivalent Including English And Maths, 2013/14,
"rates_of_children_looked_after_2015" VARCHAR -- Rates Of Children Looked After (2015),
"n__of_pupils_whose_first_language_is_not_english_2015" VARCHAR -- % Of Pupils Whose First Language Is Not English (2015),
"n__children_living_in_out_of_work_households_2014" DOUBLE -- % Children Living In Out-of-work Households (2014),
"male_life_expectancy_2012_14" VARCHAR -- Male Life Expectancy, (2012-14),
"female_life_expectancy_2012_14" VARCHAR -- Female Life Expectancy, (2012-14),
"teenage_conception_rate_2014" VARCHAR -- Teenage Conception Rate (2014),
"life_satisfaction_score_2011_14_out_of_10" DOUBLE -- Life Satisfaction Score 2011-14 (out Of 10),
"worthwhileness_score_2011_14_out_of_10" DOUBLE -- Worthwhileness Score 2011-14 (out Of 10),
"happiness_score_2011_14_out_of_10" DOUBLE -- Happiness Score 2011-14 (out Of 10),
"anxiety_score_2011_14_out_of_10" DOUBLE -- Anxiety Score 2011-14 (out Of 10),
"childhood_obesity_prevalance_2014_15" VARCHAR -- Childhood Obesity Prevalance (%) 2014/15,
"people_aged_17_with_diabetes" DOUBLE -- People Aged 17+ With Diabetes (%),
"mortality_rate_from_causes_considered_preventable_2012_14" VARCHAR,
"political_control_in_council" VARCHAR,
"proportion_of_seats_won_by_conservatives_in_2014_election" VARCHAR,
"proportion_of_seats_won_by_labour_in_2014_election" VARCHAR,
"proportion_of_seats_won_by_lib_dems_in_2014_election" VARCHAR,
"turnout_at_2014_local_elections" VARCHAR
);
Anyone who has the link will be able to view this.