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Sociology

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Apr 3, 2024

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Workshop session schedule: We are accepting proposals in two formats: 60 minute and 75-minute interactive workshops. A minimum of 15 minutes of the session should be reserved for questions from the audience. Format: The presenter can determine the presentation format. We encourage you to choose a presentation that engages and educates the participants. Presenter role: If you plan to use PowerPoint, presenters are required to bring their own laptop. We will provide a screen and projector. Handouts: In respect to the environment, we are encouraging all presenters to limit handouts only as necessary or provide to the SSCCC for posting on the website and the event mobile app. country_fertility_after_start = country_fertility.where('time',are.above_or_equal_to(start)) cleaned_table = country_fertility_after_start.select('time','children_per_woman_total_fer tility').relable('time', 'Year').relabel( 'children_per_woman_total_fertility', 'Children per woman') return cleaned_table poland_code = 'pol' fertility_over_time(poland_code, 1950).plot(0, 1) # You should *not* change this line. pol_fertility = fertility_over_time(poland_code,1950) poland_since_1950 = pol_fertility.with_columns('Child deaths per 1000 born',child_mortality.where('geo','pol')) poland_since_1950 life = life_expectancy.where('geo', are.equal_to('pol')).where('time', are.above_or_equal_to(1950)) poverty_map = recent_poverty_total.drop('poverty_percent', 'population_total').join('geo',countries,'country'). s In [91]: poverty_map latitude longitude name region

poverty_tota Question 4. 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, in this order: 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. poverty_map = recent_poverty_total . drop ( 'poverty_percent' , 'population_total' )

. join ( 'geo' , countries , 'country' ) . s In [91]: poverty_map latitude longitude name region poverty_total pol_fertility = fertility_over_time(poland_code,1950) poland_since_1950 = pol_fertility.with_columns('Child deaths per 1000 born',child_mortality.where('geo','pol')) poland_since_1950 life = life_expectancy.where('geo', are.equal_to('pol')).where('time', are.above_or_equal_to(1950)) poverty_map = recent_poverty_total.drop('poverty_percent', 'population_total').join('geo',countries,'country'). s In [91]: poverty_map latitude longitude name region poverty_tota Question 4.

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