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I'm trying create table with sql and it's not working.       CREATE TABLE STATS( US_COVID_DEATHS VARCHAR(50) AGE DOUBLE, GENDER DOUBLE,  RATIO DOUBLE);

I'm trying create table with sql and it's not working.       CREATE TABLE STATS( US_COVID_DEATHS VARCHAR(50) AGE DOUBLE, GENDER DOUBLE,  RATIO DOUBLE);

Database System Concepts
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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I'm trying create table with sql and it's not working.
 
 
 
CREATE TABLE STATS(
US_COVID_DEATHS VARCHAR(50)
AGE DOUBLE,
GENDER DOUBLE, 
RATIO DOUBLE);


This gender gap can be seen more clearly in the ratio of the death rates of men and women within age brackets: ### U.S. COVID-19 Deaths by Age and Gender: Ratios The bar graph presents the ratio of COVID-19 death rates between males and females across various age brackets. The x-axis represents the age brackets categorized as Under 44 years, 45-54 years, 55-64 years, 65-74 years, 75-84 years, and 85+ years. The y-axis shows the ratio values, ranging from 0 to 3. Two sets of bars are displayed for each age bracket: - **Gray Bars (Female:Female):** Representing a baseline ratio of female death rates, essentially set at 1 for all age groups, indicating no comparison needed as it's within females only. - **Blue Bars (Male:Female):** Showing the ratio of male death rates compared to female death rates for each age bracket. Each age group shows a higher ratio for males compared to females, indicating a greater number of deaths among males. #### Age-Bracket-Specific Insights: - **Under 44 years:** The ratio of male to female deaths is approximately 2. - **45-54 years:** The ratio peaks at approximately 2.5. - **55-64 years:** The ratio is around 2. - **65-74 years:** The ratio remains around 2. - **75-84 years:** The ratio is slightly higher than 1.5. - **85+ years:** The ratio approaches 1.5. ### Source: - **Data Source:** CDC NCHS - **Access Date:** 05/11/20 - **Time Period Covered:** 02/01/2020 to 05/02/2020 This indicates that men have experienced higher COVID-19 death rates compared to women across all age groups, with the most significant gender gap observed in the 45-54 age bracket. Overall, the visual representation underscores the importance of considering gender disparities in COVID-19 mortality to develop targeted interventions and support measures.
Transcribed Image Text:This gender gap can be seen more clearly in the ratio of the death rates of men and women within age brackets: ### U.S. COVID-19 Deaths by Age and Gender: Ratios The bar graph presents the ratio of COVID-19 death rates between males and females across various age brackets. The x-axis represents the age brackets categorized as Under 44 years, 45-54 years, 55-64 years, 65-74 years, 75-84 years, and 85+ years. The y-axis shows the ratio values, ranging from 0 to 3. Two sets of bars are displayed for each age bracket: - **Gray Bars (Female:Female):** Representing a baseline ratio of female death rates, essentially set at 1 for all age groups, indicating no comparison needed as it's within females only. - **Blue Bars (Male:Female):** Showing the ratio of male death rates compared to female death rates for each age bracket. Each age group shows a higher ratio for males compared to females, indicating a greater number of deaths among males. #### Age-Bracket-Specific Insights: - **Under 44 years:** The ratio of male to female deaths is approximately 2. - **45-54 years:** The ratio peaks at approximately 2.5. - **55-64 years:** The ratio is around 2. - **65-74 years:** The ratio remains around 2. - **75-84 years:** The ratio is slightly higher than 1.5. - **85+ years:** The ratio approaches 1.5. ### Source: - **Data Source:** CDC NCHS - **Access Date:** 05/11/20 - **Time Period Covered:** 02/01/2020 to 05/02/2020 This indicates that men have experienced higher COVID-19 death rates compared to women across all age groups, with the most significant gender gap observed in the 45-54 age bracket. Overall, the visual representation underscores the importance of considering gender disparities in COVID-19 mortality to develop targeted interventions and support measures.
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I'm trying to figure out why it's still not working.
 
CREATE TABLE STATS(
Deaths_per_100000 INTEGER(50),
AGE INTEGER(20),
GENDER VARCHAR(10), 
RATIO DOUBLE);

INSERT INTO STATS VALUES (100000, 'Under 44 Years', 'Female', 1)
 
 
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