;%20}%20%3c/style%3e%3clinearGradient%20id='linear-gradient'%20x1='2.99'%20y1='29.35'%20x2='127.75'%20y2='101.39'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20offset='0'%20stop-color='%23f2b347'%20/%3e%3cstop%20offset='.5'%20stop-color='%23ca5a8b'%20/%3e%3cstop%20offset='1'%20stop-color='%236654f5'%20/%3e%3c/linearGradient%3e%3c/defs%3e%3cg%20id='Layer_1-2'%20data-name='Layer%201'%3e%3cpath%20class='cls-1'%20d='M83.56,0H47.18C21.12,0,0,21.12,0,47.18v36.38c0,26.06,21.12,47.18,47.18,47.18h36.38c26.06,0,47.18-21.12,47.18-47.18V47.18C130.74,21.12,109.62,0,83.56,0ZM20.62,48.64c2.84-2.84,6.59-4.23,10.32-4.17,3.82,.07,7.55-1.1,10.25-3.8l.56-.56c2.7-2.7,3.86-6.43,3.8-10.25-.07-3.73,1.32-7.47,4.17-10.32,6.18-6.18,16.66-5.48,21.88,2.11,3.18,4.62,3.27,10.96,.19,15.64-3.02,4.6-7.92,6.78-12.72,6.54-3.51-.17-6.95,.99-9.43,3.48l-1.24,1.24c-2.48,2.48-3.65,5.92-3.48,9.43,.24,4.8-1.94,9.7-6.54,12.72-4.68,3.08-11.03,2.99-15.64-.19-7.6-5.23-8.29-15.7-2.11-21.88Zm33.7,34.25c-2.7,2.7-3.86,6.43-3.8,10.25,.07,3.73-1.32,7.47-4.17,10.32-6.18,6.18-16.66,5.48-21.88-2.11-3.18-4.62-3.27-10.96-.19-15.64,3.02-4.6,7.92-6.78,12.72-6.54,3.51,.17,6.94-.99,9.43-3.48l1.24-1.24c2.48-2.48,3.65-5.92,3.48-9.43-.24-4.8,1.94-9.7,6.54-12.72,4.68-3.08,11.03-2.99,15.64,.19,7.6,5.23,8.3,15.7,2.11,21.88-2.84,2.84-6.59,4.23-10.32,4.17-3.82-.07-7.55,1.1-10.25,3.8l-.56,.56Zm55.8-2.93c-2.96,2.96-6.91,4.35-10.79,4.15-3.51-.17-6.96,.99-9.44,3.48l-1.23,1.23c-2.49,2.49-3.65,5.93-3.48,9.44,.19,3.88-1.19,7.82-4.15,10.79-6.18,6.18-16.66,5.48-21.88-2.11-3.18-4.62-3.27-10.96-.19-15.64,3.02-4.6,7.92-6.78,12.72-6.54,3.51,.17,6.95-.99,9.43-3.48l1.24-1.24c2.48-2.48,3.65-5.92,3.48-9.43-.24-4.8,1.94-9.69,6.54-12.72,4.68-3.08,11.03-2.99,15.64,.19,7.6,5.23,8.3,15.7,2.11,21.88Z'%20/%3e%3c/g%3e%3c/svg%3e)
- Training & Advisory expand_more
Data Library
Mortality Age By Country
The dataset contains information on mortality rates by age group in different countries and can be used to study factors that contribute to variations in mortality rates and develop strategies to improve public health outcomes.
This dataset contains information about mortality rates by age group in different countries around the world. The data can be used to analyze patterns and trends in mortality rates, and to identify factors that contribute to variations in mortality across different populations.
By studying this dataset, researchers can gain insights into the social and economic factors that impact health and mortality, and can develop strategies to improve public health outcomes. This dataset is a valuable resource for public health officials, policymakers, and researchers who are working to address issues related to mortality and population health.
>What our Students Say
Your Author
We are always looking for the best solution for you
Frequently Asked
Questions
What’s the difference between a free account and a paid plan?
Do I need to know anything about data science or data analytics to get started with Enterprise DNA?
How will I be charged?
Can I get an invoice for my company?
Are refunds available?
Will AI take over the world and make data skills worthless?
Get full access to unparalleled
training & skill-building resources
FOR INDIVIDUALS
Enterprise DNA
For Individuals
Empowering the most valuable data analysts to expand their analytical thinking and insight generation possibilities.
Learn MoreFOR BUSINESS
Enterprise DNA
For Business
Training, tools, and guidance to unify and upskill the data analysts in your workplace.
Learn More
Latest Dataset
Loading