(Kalvium assignment)
This project involves scraping the information of the recently concluded Lok Sabha election from the Election Commission of India's website and building a report of key insights derived from the data. The analysis includes various visualizations to illustrate the findings.
- Python 3.x
- Libraries:
- pandas
- requests
- BeautifulSoup
- matplotlib
- seaborn
The data was scraped from the Election Commission of India's website using the requests and BeautifulSoup libraries. The scraping process involved extracting the following information:
-
State-wise Voting Data:
- State Name
- Parliament Constituency
- Winning Candidate
- Total Votes
- Margin
- Party Name
-
Party-wise Performance:
- Party Name
- Won
- Leading
- Total Seats
Here is a sample code snippet to scrape the data:
import requests
from bs4 import BeautifulSoup
import pandas as pd
url = 'https://results.eci.gov.in'
response = requests.get(url)
soup = BeautifulSoup(response.content, 'html.parser')
# Extract data (this is an example and might need adjustment based on the actual website structure)
state_data = []
for option in soup.find(id='ctl00_ContentPlaceHolder1_Result1_ddlState').find_all('option'):
state_data.append(option.text)
# Continue scraping the required details and store them in pandas DataFrame