World Co2 Emissions Exploratory Data Analysis , Visualization & Story Telling Using Python ( Based On 2016 )
Analyse The Data And Build Useful Insights & Visualization
Identify The Releationship Between Each Features.
Find Reasons For The Each Realtionships.
Country: Unique Identifier.
Code: Country Code.
CO2Emissions: CO2 Emission by country (tons, 2016).
YearlyChange: Yearly CO2 Emission Change in Percentage.
Percapita: CO2 Emission Per Capita.
Population: Population of the Country (2016).
LifeExpectancy: Life Expectancy of the Country (2016).
Pandas, Numpy, Matplotlib, seaborn
https://www.worldometers.info/ | Already Submitted To This Repository ( Package.rar )