Skip to content

Instantly share code, notes, and snippets.

@nataberishvili

nataberishvili/final

Last active Jul 10, 2021
Embed
What would you like to do?
---
title: "EDA Dashboard"
output:
flexdashboard::flex_dashboard:
orientation: columns
vertical_layout: fill
runtime: shiny
---
```{r setup, include=FALSE}
library(flexdashboard)
library(shiny)
library(dplyr)
library(plotly)
```
```{r data}
data <- read.csv("BankChurners.csv")
Categorical.Variables = c("Gender", "Education_Level", "Marital_Status")
Numeric.Variables = c("Customer_Age", "Total_Trans_Ct", "Credit_Limit")
```
Column {.sidebar data-width=200}
-------------------------------------------------------------------
```{r}
selectInput(inputId="categorical_variable", label = "Select Categorical Variable:", choices = Categorical.Variables, selected = Categorical.Variables[1])
selectInput(inputId="numeric_variable", label = "Select Numeric Variable:", choices = Numeric.Variables, selected = Numeric.Variables[1])
```
Column {data-width=400}
-------------------------------------------------------------------
### **Box plot** shows the relationship between categorical and numeric variables
```{r}
renderPlotly({
plot_ly(data,
x = ~data[[input$numeric_variable]],
color = ~data[[input$categorical_variable]],
colors = "Paired",
type = "box") %>%
layout(title = "",
xaxis = list(title = "" ,
zeroline = FALSE))
})
```
Column {data-width=400}
-------------------------------------------------------------------
### **Bar chart** shows the distribution of categorical veriable
```{r}
renderPlotly({
data %>%
count(var = data[[input$categorical_variable]], name = "count") %>%
plot_ly( x = ~var, y = ~ count, type = "bar", marker = list(color = '#008ae6',
line = list(color = '#008ae6', width = 2)), hoverinfo = "x+y") %>%
add_text(text = ~paste0( " (", scales::percent(count/sum(count)),")"),
textposition = "bottom",
textfont = list(size = 12, color = "white"),
showlegend = FALSE) %>%
layout(xaxis = list(title = ""), yaxis = list(title = ""))
})
```
### **Histogram** shows the distribution of numeric variable
```{r}
renderPlotly({
plot_ly(x = data[[input$numeric_variable]], type = "histogram", marker = list(color = "#008ae6",
line = list(color = "darkgray",
width = 1)))
})
```
@gelijuani

This comment has been minimized.

Copy link

@gelijuani gelijuani commented Feb 19, 2021

Hello,
I just want to say, your article on this was my reference when I was creating one of the dashboardshere. I just added a page for the dynamic data table. I did this for a Markdown training that we had to do at work. Thank you!
Geli

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment