Data prediction and plotting

The objective of this topic is to predict the third-semester pointers on the basis of the first and second-semester pointers' values. And to create a method that can predict the near future data (one or two values) to its possible amount of accuracy by using the minimal amount of data.

What’s In This Document

• Setup Instructions
• Getting Started
• Create an .exe file
• License

Setup Instructions

The python modules/libraries required to run this code on Windows Machine:

$ pip install xlrd
$ pip install collections
$ pip install plotly

Or Install Plotly in Virtual Environment by the following instructions

Create your virtualenv

$ mkdir ~/.virtualenvs
$ cd ~/.virtualenvs
$ python -m venv plotly3.3

Activate the virtualenv

$ source ~/.virtualenvs/plotly2.7/bin/activate
(plotly2.7) $

Install plotly locally to virtualenv

(plotly2.7) $ pip install plotly==3.3

Deactivate to exit

(plotly2.7) $ deactivate
$ 

Getting Started

$ git clone https://github.com/Dhyeythumar/Data-prediction-and-plotting.git
$ cd data_prediction&plotting
$ python data_prediction.py

The project is running 😃

Create an .exe file

To create a build file you need to install cx_Freeze.

Install cx_Freeze

$ pip install cx_Freeze

Create build file

$ cd data_prediction&plotting
$ python setup.py build

Successfully created a build file 📦

License

This project is licensed under the GNU GPLv3 - see the LICENSE file for details.

• To see the More Details on project.