Dataset Description

dataset structure

'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  

Summary of the dataset

univariate analysis

Analysis of days

Age wise learner analysis

---
title: "Exploratory Data Analysis for Quine dataset"
output: 
  flexdashboard::flex_dashboard:
    orientation: rows   
    vertical_layout: scroll
    theme: spacelab
    social: menu
    source_code: embed
---


```{r setup, include=FALSE}
library(flexdashboard)
```

## Dataset Description {.tabset}

### dataset structure
```{r}
library(flexdashboard)
library(MASS)
str(quine)
summary(quine)
```

### Summary of the dataset

## univariate analysis {.tabset}

### Analysis of days

```{r}
library(flexdashboard)
library(MASS)
library(lattice)
histogram(quine$Days)
```

### Age wise learner analysis

```{r}
library(flexdashboard)
library(MASS)
library(lattice)
library(DT)
datatable(quine,extensions = 'Buttons',options = list(dom='Bfrtip',Buttons = c('copy','csv','print','pdf')))
```


```{r}

```