Data analysis using Python

Main libraries used:

   - Data manipulation: numpy, pandas
   
   - Data visualization: matplotlib, seaborn
   
   - Geospatial data visualization: geopandas, folium

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Personal Work

1. Greek refugee crisis.

• Kaggle link: https://www.kaggle.com/leandrosev/asylum-seekers-greece-kaggle-first-attempt
• Data downloaded from official UNHCR page. Contains info about asylum seekers in Greece, from 2000 to 2018.
• Tasks:
  • Data prerprocessing
  • Descriptive statistics
  • Data visualization (+ GeoSpatial plots)

2. IMDB Movie Database

• Kaggle link: https://www.kaggle.com/leandrosev/imdb-movie-data-exploratory-analysis
• Data from kaggle repository. Contains 1000 most popular movies on IMDB from 2006 to 2016.
• Tasks:
  • Data Preprocessing
  • Exploratory analysis
  • Data visualization (+ wordclouds)

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