Elijah Ayeeta
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| #get all state rows using Area_Name | |
| area_name = ['Alabama','Alaska','Arizona', 'Arkansas','California','Colorado','Connecticut','Delaware', | |
| 'Florida','Georgia','Hawaii','Idaho','Illinois','Indiana','Iowa','Kansas','Kentucky','Louisiana', | |
| 'Maine','Maryland','Massachusetts','Michigan','Minnesota','Mississippi','Missouri','Montana','Nebraska', | |
| 'Nevada','New Hampshire','New Jersey','New Mexico','New York','North Carolina','North Dakota','Ohio', | |
| 'Oklahoma','Oregon','Pennsylvania','Rhode Island','South Carolina','South Dakota','Tennessee','Texas', | |
| 'Utah','Vermont','Virginia','Washington','West Virginia','Wisconsin','Wyoming'] | |
| states = population_data.loc[population_data['Area_Name'].isin(area_name)] | |
| states |
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| state = states["State"] | |
| international_2010 = states["INTERNATIONAL_MIG_2010"] | |
| international_2011 = states["INTERNATIONAL_MIG_2011"] | |
| international_2012 = states["INTERNATIONAL_MIG_2012"] | |
| international_2013 = states["INTERNATIONAL_MIG_2013"] | |
| international_2014 = states["INTERNATIONAL_MIG_2014"] | |
| international_2015 = states["INTERNATIONAL_MIG_2015"] | |
| international_2016 = states["INTERNATIONAL_MIG_2016"] | |
| international_2017 = states["INTERNATIONAL_MIG_2017"] | |
| international_2018 = states["INTERNATIONAL_MIG_2018"] |
Ayeeta
/ international_mig_2010.py
Created
September 11, 2019 11:12
Visualize international migrations through the US in 2010
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| int_migration_graph_2010 = px.line(states, x = 'State', y = "INTERNATIONAL_MIG_2010", title='International Migration 2010') | |
| int_migration_graph_2010.show() |
Ayeeta
/ int_mig_2011.py
Created
September 11, 2019 11:17
Visualize International Migrations to the US 2011
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| int_migration_graph_2011 = px.line(states, x = 'State', y = "INTERNATIONAL_MIG_2011", title='International Migration 2011') | |
| int_migration_graph_2011.show() |
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| int_migration_graph_2012 = px.line(states, x = 'State', y = "INTERNATIONAL_MIG_2012", title='International Migration 2012') | |
| int_migration_graph_2012.show() |
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| int_migration_graph_2013 = px.line(states, x = 'State', y = "INTERNATIONAL_MIG_2013", title='International Migration 2013') | |
| int_migration_graph_2013.show() |
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| int_migration_graph_2016 = px.line(states, x = 'State', y = "INTERNATIONAL_MIG_2016", title='International Migration 2016') | |
| int_migration_graph_2016.show() |
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| int_migration_graph_2018 = px.line(states, x = 'State', y = "INTERNATIONAL_MIG_2018", title='International Migration 2018') | |
| int_migration_graph_2018.show() |
Ayeeta
/ choropleth_int_mig_2018.py
Created
September 11, 2019 11:55
visualize international migrant destinations on a choropleth map
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| states['text'] = "International Migration 2018"+"\ | |
| "+ states["INTERNATIONAL_MIG_2018"].astype(str) + " " +"State:" +" \ | |
| "+ states["Area_Name"] | |
| fig = go.Figure(data=go.Choropleth( | |
| locations=states['State'], # Spatial coordinates | |
| z = states["INTERNATIONAL_MIG_2018"].astype(float), # Data to be color-coded | |
| locationmode = 'USA-states', # set of locations match entries in `locations` | |
| colorscale = 'reds', | |
| text = states['text'], |
Ayeeta
/ florida_2018.py
Created
September 11, 2019 12:20
visualize international migrant settlements in florida
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| florida_graph_2018 = px.line(florida, x = 'Area_Name', y = 'INTERNATIONAL_MIG_2018', title = 'Internation Migration Settlement in Florida') | |
| florida_graph_2018.show() |
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