listas_pregunta2_item_d

regions = [
    'Africa Eastern and Southern',
    'Africa Western and Central',
    'Arab World',
    'Central Europe and the Baltics',
    'East Asia & Pacific',
    'East Asia & Pacific (excluding high income)',
    'East Asia & Pacific (IDA & IBRD countries)',
    'Euro area',
    'Europe & Central Asia',
    'Europe & Central Asia (excluding high income)',
    'Europe & Central Asia (IDA & IBRD countries)',
    'European Union',
    'Latin America & Caribbean',
    'Latin America & Caribbean (excluding high income)',
    'Latin America & the Caribbean (IDA & IBRD countries)',
    'Least developed countries: UN classification',
    'Middle East & North Africa',
    'Middle East & North Africa (excluding high income)',
    'Middle East & North Africa (IDA & IBRD countries)',
    'North America',
    'OECD members',
    'Small states',
    'South Africa',
    'South Asia',
    'South Asia (IDA & IBRD)',
    'Sub-Saharan Africa',
    'Sub-Saharan Africa (excluding high income)',
    'Sub-Saharan Africa (IDA & IBRD countries)',
    'World'
]

statistics = [
    'Early-demographic dividend',
    'Fragile and conflict affected situations',
    'Heavily indebted poor countries (HIPC)',
    'High income',
    'IDA & IBRD total',
    'Late-demographic dividend',
    'Low & middle income',
    'Low income',
    'Lower middle income',
    'Middle income',
    'Post-demographic dividend',
    'Pre-demographic dividend',
    'Upper middle income',
]

countries = list(data[(~data['Country Name'].isin(regions)) & (~data['Country Name'].isin(statistics))]['Country Name'].unique())