This is a simple visualization system that was built with the aim of visualizing University Ranking data. This is the result of a practical work for the course of Visualization (SCC5836-2017) of the University of São Paulo.
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
What things you need to install the software and how to install them
R >= 3.4.2 Python 2.7 Python 3.6 D3 >= 4
A step by step series of examples that tell you have to get a development env running
This system is online through github.io, access https://ealcobaca.github.io/Visualization/
To access the system offline it is necessary : (i) preprocess the data (ii) activate HTTP server (iii) access the web page with some browser (preferable firefox or chrome).
To clone this repository in your machine do:
git clone https://github.com/EAlcobaca/Visualization.git
make preprocessing
make server-up
or
make all
to access the site type
firefox localhost:8000/index.html
For more commands see type
make help
In this section we will describe how our project is organized and where each component is.
src/
In this directory are .R and .py files to preprocess the dataset.
data/
In this directory is the original dataset and the preprocesses generated by the 'make' command.
site/javascript
site/css
In this directory is the heart of our application, it contains the javascript and css files.
report/
In this directory we put a report in pdf format that describes the analysis of the data with the developed system.
- Alcobaça, Edesio - Initial work - PurpleBooth
This project is licensed under the GNU GENERAL PUBLIC LICENSE Version 2 - see the LICENSE file for details.