Required Python Libraries:
google
seaborn (Install latest version of seaborn 0.9.0)
googletrans (install googletrans from source files or use conda install, there is a problem with the pip installation)
beautifulsoup4
requests
html5lib
python-dateutil
articleDateExtractor
tweepy
wordcloud
google-cloud-translate
shapely
pyenchant
gmaps
plotly
Note: We're not providing our api_keys for twitter, Google and Mapbox. Kindly generate your own keys for this.
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Population: 4,857,274 people
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Density: 84/km2
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Poverty index: 21.1% in 2018 (1,142,069 people in poverty, while 360,783 people live in extreme poverty.)
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The big poverty gap in Costa Rica is a serious problem as 1.1 million people live in poverty.
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Investigating different relations between socio-economic parameters is a worthy task.
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Understanding the indicators and the factors affecting poverty will help us in tackling this problem in a better way.
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IDB Costa Rican Household Dataset: 143 features as poverty level indicators with target labels classified
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INEC Costa Rica Dataset: Costa Rican official census data
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Google and twitter search data
Please see the Final_Plots.ipynb for final results
- We can conclude that the government has a big role to play to overcome poverty in Costa Rica.
- New Industries needs to be setup to increase per capita income
- Income Inequality continues to grow further
- Education has a huge role to play and the government needs to focus in this direction.
- Housing is another one of the important poverty indicators and steps needs to be taken to improve that.