India's Vaccination (1 Billion Glory Doses)

dataset gives brief history of vaccination done by India

@kaggle.ramjasmaurya_indias_vaccination_100_billion_glory

Table List

1 table(141.66 KB)

India Vaccination

@kaggle.ramjasmaurya_indias_vaccination_100_billion_glory.india_vaccination

141.66 KB
686 rows
61 columns

location Location	date Date	total_cases Total Cases	new_cases New Cases	new_cases_smoothed New Cases Smoothed	total_cases_per_million Total Cases Per Million	new_cases_per_million New Cases Per Million	tests_units Tests Units
India	30-01-2020	1	1		0.001	0.001	nan
India	31-01-2020	1			0.001		nan
India	01-02-2020	1			0.001		nan
India	02-02-2020	2	1		0.001	0.001	nan
India	03-02-2020	3	1		0.002	0.001	nan
India	04-02-2020	3		0.429	0.002		nan
India	05-02-2020	3		0.429	0.002		nan
India	06-02-2020	3		0.286	0.002		nan
India	07-02-2020	3		0.286	0.002		nan
India	08-02-2020	3		0.286	0.002		nan


CREATE TABLE india_vaccination (
  "location" VARCHAR,
  "date" VARCHAR,
  "total_cases" BIGINT,
  "new_cases" BIGINT,
  "new_cases_smoothed" DOUBLE,
  "total_deaths" DOUBLE,
  "new_deaths" DOUBLE,
  "new_deaths_smoothed" DOUBLE,
  "total_cases_per_million" DOUBLE,
  "new_cases_per_million" DOUBLE,
  "new_cases_smoothed_per_million" DOUBLE,
  "total_deaths_per_million" DOUBLE,
  "new_deaths_per_million" DOUBLE,
  "new_deaths_smoothed_per_million" DOUBLE,
  "reproduction_rate" DOUBLE,
  "icu_patients" VARCHAR,
  "icu_patients_per_million" VARCHAR,
  "hosp_patients" VARCHAR,
  "hosp_patients_per_million" VARCHAR,
  "weekly_icu_admissions" VARCHAR,
  "weekly_icu_admissions_per_million" VARCHAR,
  "weekly_hosp_admissions" VARCHAR,
  "weekly_hosp_admissions_per_million" VARCHAR,
  "new_tests" DOUBLE,
  "total_tests" DOUBLE,
  "total_tests_per_thousand" DOUBLE,
  "new_tests_per_thousand" DOUBLE,
  "new_tests_smoothed" DOUBLE,
  "new_tests_smoothed_per_thousand" DOUBLE,
  "positive_rate" DOUBLE,
  "tests_per_case" DOUBLE,
  "tests_units" VARCHAR,
  "total_vaccinations" DOUBLE,
  "people_vaccinated" DOUBLE,
  "people_fully_vaccinated" DOUBLE,
  "total_boosters" VARCHAR,
  "new_vaccinations" DOUBLE,
  "new_vaccinations_smoothed" DOUBLE,
  "total_vaccinations_per_hundred" DOUBLE,
  "people_vaccinated_per_hundred" DOUBLE,
  "people_fully_vaccinated_per_hundred" DOUBLE,
  "total_boosters_per_hundred" VARCHAR,
  "new_vaccinations_smoothed_per_million" DOUBLE,
  "new_people_vaccinated_smoothed" DOUBLE,
  "new_people_vaccinated_smoothed_per_hundred" DOUBLE,
  "stringency_index" DOUBLE,
  "population" DOUBLE,
  "population_density" DOUBLE,
  "median_age" DOUBLE,
  "aged_65_older" DOUBLE,
  "aged_70_older" DOUBLE,
  "gdp_per_capita" DOUBLE,
  "extreme_poverty" DOUBLE,
  "cardiovasc_death_rate" DOUBLE,
  "diabetes_prevalence" DOUBLE,
  "female_smokers" DOUBLE,
  "male_smokers" DOUBLE,
  "handwashing_facilities" DOUBLE,
  "hospital_beds_per_thousand" DOUBLE,
  "life_expectancy" DOUBLE,
  "human_development_index" DOUBLE
);