'data.frame': 146 obs. of 5 variables:
$ Eth : Factor w/ 2 levels "A","N": 1 1 1 1 1 1 1 1 1 1 ...
$ Sex : Factor w/ 2 levels "F","M": 2 2 2 2 2 2 2 2 2 2 ...
$ Age : Factor w/ 4 levels "F0","F1","F2",..: 1 1 1 1 1 1 1 1 2 2 ...
$ Lrn : Factor w/ 2 levels "AL","SL": 2 2 2 1 1 1 1 1 2 2 ...
$ Days: int 2 11 14 5 5 13 20 22 6 6 ...
Eth Sex Age Lrn Days
A:69 F:80 F0:27 AL:83 Min. : 0.00
N:77 M:66 F1:46 SL:63 1st Qu.: 5.00
F2:40 Median :11.00
F3:33 Mean :16.46
3rd Qu.:22.75
Max. :81.00
---
title: "EDA for Quine dataset"
output:
flexdashboard::flex_dashboard:
orientation: rows
vertical_layout: scroll
theme: cerulean
social: menu
source_code: embed
---
```{r setup, include=FALSE}
library(flexdashboard)
library(MASS)
library(dplyr)
library(lattice)
library(DT)
```
## dataset description {.tabset}
### view of dataset
```{r}
datatable(iris,extensions='Buttons',options=list(dom='Bfrtip',Buttons=c('copy','csv','print','pdf')))
```
### dataset structure
```{r}
str (quine)
```
### summary
```{r}
summary(quine)
```
## univariate Analysis {.tabset}
### Analysis of Learners
```{r}
```
### Age wise Learner Analysis
```{r}
```