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Analysing the completeness of the World Bank's World Development Indictors dataset over time

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World-Development-Indicators

Notebook to analyse the completeness of the World Development Indictors measurements from 1960 onwards.

The Jupyter notebook exploratory_analysis.ipynb covers:

  • Reading in data from a PostgreSQL server
  • Descriptive statistics of the dataset
  • Data cleaning to remove empty columns
  • Webscraping to find ISO country codes
  • Reshaping datasets with Pandas
  • Plotting visualisations with Seaborn
  • Summary of key insights

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Analysing the completeness of the World Bank's World Development Indictors dataset over time

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