Developing Data Products

A.U

8/16/2020

1.Introduction

This is the Project Presentation which is described the simple shiny web application. This project is based on the Developing Data Products Coursera Course. The analysis is associated with gapminder data set provided in the R package.

2.Process

In this Project, it can be seen the exploratory data analysis considering the all variables in the data set. Furthermore, it is build regressed model for overall original data and obtained the intercept and slope of the regressed line. This web application is user friendly application.

Here is the site and source code:

https://banchan.shinyapps.io/ShinyAppProject/ https://github.com/AyomiUpeksha/Assignment_04_Project

library(gapminder)
library(tidyverse)
library(plotly)

df1 <- gapminder
            p <- plot_ly(df1,
                         x = ~gdpPercap, 
                         y = ~lifeExp, 
                         size = ~pop, 
                         color = ~continent, 
                         frame = ~year, 
                         text = ~country, 
                         hoverinfo = "text",
                         type = 'scatter',
                         mode = 'markers'
            )
            p <- p %>% layout(
                xaxis = list(
                    type = "log"
                )
            )

Thank You!