Ski-Bums:

Gareth, Alison, Megan, & Syd

Project Overview

Our project is composed of the following:

1. Django Website:

   • Interactive Website for displaying our data and results

2. Data:

   • A database containing information on resorts and their current and predicted weather.
   • A database ranking major cities by their acess to resorts

3. Algorithms:

   • An algorithm for producing the top 3 resorts given a user's input
   • An algorithm for ranking the user's current location relative to other cities in our database

4. Visualizations:

   • Quality of resorts based on snowfall
   • Quality of cities for access to ski and snowboard areas

Packages Required

Our project may require you to install the following to run all programs: Plotty Sqlite3 Django Pandas Numpy

To Install run the following code in your command terminal: sudo pip install plotty sudo pip install sqlite3 sudo pip install django sudo pip install pandas suod pip install numpy

How to run Ski-Bums:

1. Open a web browser
2. navigate to the mysite directory in the shell
3. In the shell run:

   python manage.py runserver
   

4. The page search page should have appeard in your browser

File Overview

1. apps: This folder contains the files for the functions that are called in our website or were used to create material

   • analysis.py: The file for creating the scored city lists and scoring the users current location
   • database.py: Used for creating the SQL database and uploading csv data into it
   • directions.py: Uses Google's API to get directions, locations, and distances
   • forecast.py: Functions for getting the weather forecast from the database
   • scraper.py: A web scraper used to gather information from the OnTheSnow.com
   • preferences.py: The preference algorithm that is preforms a ranking with a SQL query
   • weather.py: A program for getting current weather conditions and a seven day forecast for every resort in our database. The data comes courtesy of OpenWeatherMap.org

2. CSVs: A directory containing the CSVs that hold our list of resorts, cities, and the weather data

   • current_weather.csv
   • forecast_weather.csv
   • ski-resorts.csv
   • ski-resorts.txt
   • top1000.csv
   • top1000_scored.csv
   • top200.csv
   • top200_scored.csv

3. mysite: This directory contains the code for running web page

   • More information on README found inside

4. Other Stuff: Presentation materials

   • Initial Presentation
   • Final Presentation

5. visualization: A directory containing the visualizations used in the website and the program used for creating them

   • city_graphic.html: Graphic displaying cities based on their access to resorts
   • d3-ski-resorts.html: GRaphic showing resort quality based on snowfall
   • denisty-plot.html: Exploratory graph of resort data
   • newtork.hmtl: Sidelind project for displaying user's location
   • visualization.py: Program for creating visualization output

6. README.md: (This file)