https://github.com/busbud/coding-challenge-analytics-a

https://github.com/busbud/coding-challenge-analytics-a

Last synced: about 2 months ago
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• Host: GitHub
• URL: https://github.com/busbud/coding-challenge-analytics-a
• Owner: busbud
• Created: 2014-01-27T20:15:16.000Z (over 10 years ago)
• Default Branch: master
• Last Pushed: 2014-03-20T16:16:11.000Z (over 10 years ago)
• Last Synced: 2024-07-24T13:59:06.264Z (2 months ago)
• Size: 4.27 MB
• Stars: 1
• Watchers: 2
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-recruitment-tests - Busbud - Create a web page that shows a map to visualize coverage of the most populated cities in the world. (Python)

README

        
# Busbud Coding Challenge

## Requirements

Create a web page that shows a map to visualiaze coverage of the most populated cities in the world

- The page is served by a Python webserver

- Use D3.js (or similar tool) to display the world map

- Use `/data/cities15000.txt` to get the list of cities with population > 15000 (see http://download.geonames.org/export/dump/readme.txt for more information)

- Use `/data/target_cities.json` to get the list of covered cities by geoname_id.

- Clicking on a country on the map should display the number of cities with population > 15000 in that country and the fraction covered by target list.  For example, if there are 100 cities in the US in `cities15000.txt` and 15 of those cities are in the target list, clicking on the US on the map should display `15 / 100 = 15%`.

- the app should be deployed on [heroku](https://devcenter.heroku.com/categories/python)

### Non-functional

* the code should be written in Javascript and Python (Python 2.7 compatible).

* any packages required must be installable via `pip install -r requirements.txt`, see [pip](http://www.pip-installer.org/en/latest/)

* Work should be submitted as a pull-request to this repo