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Election Results Visualization

This project involves fetching and visualizing election results data using Selenium and Plotly libraries in Python.

Description

This Python project fetches election results data from a website, processes and cleans the data, and then creates interactive visualizations using Plotly library. It uses Selenium to automate the web scraping process and Plotly for creating various visualizations.

Features

  • Web scraping using Selenium to fetch election results data.
  • Data preprocessing and cleaning.
  • Interactive visualizations using Plotly.
  • Visualizations for national, Istanbul, Ankara, and Izmir election results.
  • Histogram showing the total votes for each presidential candidate.

Prerequisites

  • Python 3.x
  • pip package manager
  • Chrome browser (required for Selenium)
  • ChromeDriverManager (Python library for managing ChromeDriver)

Installation

  1. Clone the repository:

git clone <repository_url>

  1. Install the required Python libraries:

pip install -r requirements.txt

  1. Download and install the Chrome browser if not already installed.

Usage

  1. Run the app.py script:

python app.py

  1. Open a web browser and go to the provided URL (usually http://127.0.0.1:5000/) to view the interactive visualizations.

Project Structure

  • app.py: Main application script that fetches data, processes it, and creates visualizations.
  • fetch.py: Contains the Fetcher class for web scraping using Selenium.
  • templates/index.html: HTML template for rendering the Plotly visualizations.

Acknowledgments

  • This project utilizes the Selenium and Plotly libraries in Python.
  • The webdriver-manager package is used to manage the ChromeDriver.

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