Skip to content

The initial step involved cleaning the dataset by filtering out irrelevant country codes ('INX' and 'PSE') and removing unnecessary columns, ensuring accuracy in the analysis.

License

Notifications You must be signed in to change notification settings

AnamolZ/populationAnalysis

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Population Analysis

Project focuses on analyzing global population data, emphasizing data cleaning, processing, and visualization.

The initial step involved cleaning the dataset by filtering out irrelevant country codes ('INX' and 'PSE') and removing unnecessary columns, ensuring accuracy in the analysis. The average population of each country was calculated, and missing values were filtered out to ensure the dataset was complete.

The analysis revealed that the highest populations were observed in 2022, particularly in densely populated regions like Eastern Asia and Latin America. On the other hand, the lowest populations were recorded in 1960, with countries such as Tuvalu and Nauru having the smallest population sizes.

This study offers valuable insights into global population distributions, highlighting key trends that can guide demographic studies and future planning.

About

The initial step involved cleaning the dataset by filtering out irrelevant country codes ('INX' and 'PSE') and removing unnecessary columns, ensuring accuracy in the analysis.

Topics

Resources

License

Stars

Watchers

Forks