Welcome to the CO2 Emission Data Analysis project! This project provides you with the opportunity to work in a corporate development environment, where you will code a Python application for data analysis of CO2 emissions in various countries. You will create and execute Python code for this purpose and have the opportunity to compare your work with Python code designed by our experts in real-time.
This project offers a hands-on experience in coding and data analysis, simulating a corporate development environment. You will work on Python applications to analyze CO2 emissions data for different countries. Your task is to create, execute, and refine Python code to perform this analysis.
- Objective: Perform data analysis on CO2 emissions data for various countries.
- Tools: Python, data analysis libraries, code comparison with expert-designed code.
- Learning Outcomes: Gain practical experience in coding, data analysis, and collaboration in a corporate-style development setting.
The project data includes:
- A structured dataset containing CO2 emissions data for all countries.
- A list of years 1997- 2010 for which emissions data is available.
The Python code for data analysis includes functionalities to:
- Extract the index of a specific year.
- Find the country with the highest and lowest CO2 emissions for a given year.
- Calculate the average CO2 emissions for a specific year.
Getting the head of the data to see how is the data arranged and information and descritpion is included
Asks the user to input a year. Displays CO2 emissions for each country in that year. Computes and displays statistics like the country with the lowest, highest, and average emissions.
Takes user input for a country. Plots the CO2 emissions data for the selected country over the years.
Takes user input for multiple countries. Creates a bar plot showing emissions for selected countries over the years.
Takes user input for multiple countries. Creates a line plot showing emissions for selected countries over the years.
Takes user input for two years. Plots the CO2 emissions for all countries in the selected years. Includes scatter plots for average, maximum, and minimum emissions.
Plots a box plot of CO2 emissions for the selected years.
Plots a histogram of CO2 emissions for the selected years and the frequency of change
Calculates the percentage change in CO2 emissions for each country between consecutive years.
Performs linear regression on the percentage change data. Plots the percentage change and a linear fit.
Performs quadratic regression on the percentage change data. Plots the percentage change and a quadratic fit.
To get started with the CO2 Emission Data Analysis project, follow these steps:
- Clone the repository to your local machine:
samima Hassa