ece143's Introduction

ECE 143 Final Project Group 7

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.

INTRODUCTION TO COSTA RICA:

Population: 4,857,274 people
Density: 84/km2
Poverty index: 21.1% in 2018 (1,142,069 people in poverty, while 360,783 people live in extreme poverty.)

MOTIVATION

The big poverty gap in Costa Rica is a serious problem as 1.1 million people live in poverty.
Investigating different relations between socio-economic parameters is a worthy task.
Understanding the indicators and the factors affecting poverty will help us in tackling this problem in a better way.

DATASETS

IDB Costa Rican Household Dataset: 143 features as poverty level indicators with target labels classified
INEC Costa Rica Dataset: Costa Rican official census data
Google and twitter search data

RESULTS

Please see the Final_Plots.ipynb for final results

CONCLUSIONS

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.

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