Talk to R is a Voice Enabled Web App built on R for analysing data.
Its a prototype built on statistical analysis tool ‘R’, web app rendering library ‘R shiny’, voice recognition java script library ‘annyang’, graph library ‘Plotly’ and map rendering library ‘Leaflet’.
#Live App: https://abhiplot.shinyapps.io/talk_to_r_shiny/
You can also run this App in R Studio locally:
if (!require(devtools))
install.packages("devtools")
devtools::install_github("rstudio/leaflet")
devtools::install_github("hadley/dplyr")
devtools::install_github("cran/plotly")
devtools::install_github("cran/RColorBrewer")
devtools::install_github("hadley/scales")
devtools::install_github("cran/lattice")
devtools::install_github("krlmlr/bindr")
library(RColorBrewer)
library(scales)
library(lattice)
library(dplyr)
library (plotly)
library(leaflet)
library(Shiny)
library(bindr)
shiny::runGitHub("abhishekms1047/Talk-to-R-Shiny")
After the application start ,voice commands can be issued to analyse data.
#Voice commands:
Top N places by income/population/education
Example:
Top 10 places by income
Top 3 places by population
Top 24 places by education
Go to zip code 75252
Example:
Go to zip code 75252
Go to zip code 18943
Go to zip code 75252
Zoom in
Zoom out
Color by income/population/education
Example:
Color by income
Color by population
Size by income/population/education
Example:
Size by income
Size by population
Analyze income/population/education by income/population/education
Analyze income by population
Analyze education by income
Data compiled for Coming Apart: The State of White America, 1960–2010 by Charles Murray (Crown Forum, 2012). This app was inspired by the Washington Post's interactive feature Washington: Washington: A world apart.