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ValleTemperaturas app

An awesome app to see more information
about the temperatures sensors in
Valle del Cauca, Colombia.
Explore the docs »

View Demo · Report Bug · Request Feature

Table of Contents
  1. About The Project
  2. Design
  3. Contributing
  4. Personal Software Process
  5. Ingineering Method
  6. Video
  7. Contributors

About The Project

Principal Screen

This will be the first screen you see after you choose the dataset Here:

  • You can see all the information from the dataset
  • You can filter the data from the dataset according to different criteria
  • You can open an other window with a map with all -or filtered- sensors points distributed around all the department
  • You can open an other window with three (3) charts comparing some information from all dataset -or filtered-

Map Screen Chart Screen

Built With

Design

Here we have some diagrams in Unifed Modeling Lenguage to see how we treat the problem

Class Diagram

Class Diagram

Object Diagram

Object Diagram

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

Personal Software Process

Here we have our PSP0 that take the times that take to make this project

Software Requirements Specifications

Here we have our Engineering Method for this project In this document you can find :

  • The problem identification
  • Collection of the necessary information
  • Search for creative solutions
  • Transition from formulation of ideas to preliminary designs
  • Evaluation and selection of the best solution
  • Functional requirements

Video

Here we have a 5 minutes Video uploaded to youtube make it by the contributors of the project. In this Video we show the functionalities and how we see the model and the datastructures that we use.

Contributors


Gonzalo de Varona

Juan Sebastián Barrera Pulido


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