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Visualizing Japan's Population Data using D3.js, Flask and MongoDB

in visualization

In this project an interactive data visualisation is created using a dataset containing Japan's population between 1871 and 2015. The data is broken down by geographic region in a number of ways, including by island, prefecture, region and capital.

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Categories

  • data-cleaning (2)
  • documentation (1)
  • eda (1)
  • end-to-end-analysis (3)
  • machine-learning (1)
  • problem-solving (1)
  • visualization (2)

Skills

  • algorithm-development
  • atlas-athena
  • bash
  • beautiful-soup
  • c++
  • crossfilter.js
  • d3.js
  • dash
  • dc.js
  • docker
  • doconce
  • feature-engineering
  • flask
  • git
  • heroku
  • hugo
  • keen.io
  • kubernetes
  • latex
  • linux
  • markdown
  • matplotlib
  • mongodb
  • monte-carlo
  • nginx
  • node.js
  • numpy
  • optimization
  • pandas
  • plotly
  • python
  • qsub
  • react.js
  • requests
  • scrapy
  • seaborn
  • sklearn
  • spring
  • tmva
  • vba
  • windows
  • wlcg-big-data

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