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BBMP Project Details:

PROJECT TEAM SIZE: 5 members

Contribution Details:

Installing a virtual environment package to maintain dependencies for python projects:

sudo apt-get install virtualenv

Creating a virtual environment for the project:

virtualenv example-environment

Activating a virtual environment space:

cd example-environment
source bin/activate

Cloning the Repo:

git clone https://github.com/puneethkumar-v/bbmp_project.git

Installing the project dependencies:

cd bbmp-project
pip -r install requirements.txt

Creating a seperate feature branch to work on:

git checkout -b newBranchName

Command to run the project:

python3 manage.py runserver

Adding and Commiting of the changes after completing the feature:

git add .
git commit -m "Enter brief description about the changes you've made"

Push the code to the main branch

git push -u origin main

After completing the above process now it's time to make a Pull Request

* Go to the Repo link [bbmp_project: repo](https://github.com/puneethkumar-v/bbmp_project.git)
* Make a pull request using all the avaialble option

REQUIREMENTS:

  • Web Technology to analyze and render the data from dataset
  • Tools to construct tables using web tech
  • Conversion of the data from pdf to csv file
  • Tools to explore the visualization(graphs) for the dataset

RESOURCE PROVIDED:

  • 3 pdf's of the dataset including the objective of the dataset

Services providing we will be providing:

  • Building a web page to fetch the data from a csv file and render in the form of table
  • Adding Functionalities such as Filtering, Sorting the table data on a particular column
  • Searching on overall dataset for exact Roads
  • Analyzing the dataset through Visualization library
  • Complete ppt for the entire process of both phase 1 and 2
  • Thorough training of the entire Project for the students

FUNCTIONALITIES that will be added on the project:

  • Phase 1: Deadline 16th January 2023

    • Filtering
    • Searching
    • Sorting
  • Phase 2:

    • Visualization

TODO:

  • 09/01/2023:
    • Creating a GitHub Repo
    • Adding a README file
    • Adding info regarding Contribution Guideline
    • Starting a Django Project
    • Creating a First Application inside a project called phase1
  • 10/01/2023:
    • Retrieving the data from excel sheet
    • Experimenting with the libraries like pandas, openpyxl, to fetch the data
    • Trying to analyze the data extracted from the excel sheet
    • Rendering the data on the webpage
  • 11/01/2023:

    • Inserting Data to DB from excel sheet
    • Exploring jQuery for the Functionalities
    • Going through the Objective Documentation to understand more about the Dataset
    • ppt presentation preparation
  • 12/01/2023:

    • Inserting Data to DB from excel
    • Verifying/Pre-processing the excel sheet
    • Discussed regarding DataBase Schema design
    • PPt presentation

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