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Explore and Visualize World Bank CO2 Emission Dataset Using Python
Jupyter Notebook Python
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Exploring and Visualizing of World Bank CO2 Emission Dataset Using Python

Exploring and Visualizing World CO2 Emission Data By Country By Year Using Pandas Dataframe in Python

Abstract Exploratory data analysis is a critical step in understanding data. In this project, we use Pandas dataframe in Python to clean, explore, summarize, and visualize world bank CO2 emission data.


Source : The World Bank Data (downloaded from

Tools/Platform : ipython notebook (Python 2.7.10, Anaconda 2.3.0(64 bit) (default, May 28 2015, 16:44:52)

Analysis Covered :

  • Getting Started with ipython notebook
  • Get the Data
  • Import the data using Pandas
  • Dataframe characteristics
  • Subsetting the Dataframe
  • Conditional Subsetting
  • Data Cleaning
  • Data Exploration : Exploring data through scatter plots, histograms, bar graphs
  • Creating an interactive searchable widget
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