Using both countries and recent poverty_total, create a five-column table called poverty_map with one row for...

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Using both countries and recent poverty_total, create a five-column table called poverty_map with one row for every country in recent poverty_total. The five columns should have the following labels and contents: 1. latitude contains the country's latitude, 2. longitude contains the country's longitude, 3. name contains the country's name, 4. region contains the country's region from the world_4region column of countries. 5. poverty_total contains the country's poverty total. [56]: M 1 poverty_map = recent_poverty_total.join("geo", countries, "country").select("latitude")| 2 poverty_map Out [56]: latitude -12:5 -12.5 41 41 41 41 41 Using both countries and recent poverty_total, create a five-column table called poverty_map with one row for every country in recent poverty_total. The five columns should have the following labels and contents: 1. latitude contains the country's latitude, 2. longitude contains the country's longitude, 3. name contains the country's name, 4. region contains the country's region from the world_4region column of countries. 5. poverty_total contains the country's poverty total. [56]: M 1 poverty_map = recent_poverty_total.join("geo", countries, "country").select("latitude")| 2 poverty_map Out [56]: latitude -12:5 -12.5 41 41 41 41 41

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To build a fivecolumn table called povertymap with the following labels and contents with one row fo... View the full answer