project description.md

title	output
Bihar Assembly Election 2020 Analysis	pdf_document html_notebook default default

Live Dashboard

visit dashboard

Mywebsite

https://kundanrao.netlify.app/

Bihar assembly election analysis

This is a dashboard made with Flexdboard using r programming. in this dashboard i have tried to get the insights of the election result and the participation of different section of society, like what is the participation of females? What are their winning percentages? How many parties are participating in the election? What is the performance of theirs? What is the age distribution of candidates partywise and in general? what is the age distribution of winning candidates? Is there any geographic stronghood of any parties? etc.

Quick Tech Description

• The interectivee map is made with package tmap
• tmap is very handy for making thematic maps in r
• The static map plot is made with sf package combined with ggplot2
• dashboard is based on Flexdashboard package
• Flexdashboard could be more customised to give stunning dashboards.
• Plot's skeleton is based on ggplot2 : very powerful visulization making library in R
• Plot's interectivity is based on plotly package
• DT package is used to render interective tables
• knitr package, kable function is used to render the static table
• dplyr package is used frequentally to clean and manipulate yhe dataset.

Important File Description

• Shape file :- Contains the shape file of Indian assembly constituency.
• code.Rmd :- Contains the Rmd file of R source Code
• code.html :- Contains the HTML file of the dashboard
• data/src :- Contains the Bihar assembly election result 2020 data
• Images :- Contains screenshot and images of data visulization
• renv & renv.lock :- Is created by renv package to preserve and reproduce the environment

Data Source

Website

https://eci.gov.in/

Data Download Link

Dataset excel format

Environment (it is also specified in renv files)

I have made this project with following environment:-

RStudio Version 1.4.1717

R 4.1.1

Snapes of plots and maps