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Data Storytelling through Visualizations in Python

Analyze Contrastive Data

Explore how to identify and analyze contrastive data points using the Gapminder dataset. Understand population, GDP per capita, and life expectancy trends to highlight differences between countries and enhance data storytelling with clear visual contrasts.

We'll cover the following...

With EDA, the following questions can be answered with the Gapminder dataset:

  • What countries and continents are represented in the dataset?

    • There is a higher representation of instances corresponding to Africa in the dataset.

  • What do trends in population and GDP per capita look like for each year?

    • Population and GDP per capita typically increase every year, particularly in the US. In some cases, the trend seems less well-defined, with peaks and dips.

  • Is life expectancy related to the population and/or GDP per capita?

    • Generally, there are common positive trends or correlations between the three ...