Dataset Description

View of the dataset

Structure of the dataset

'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 ...

summary of the dataset

 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  

Univariate analysis

Analysis of Learners

Age-wise learner analysis

---
title: "EDA for Quine-Dataset"
output: 
  flexdashboard::flex_dashboard:
    orientation: rows
    vertical_layout: scroll
    theme: united
    social: menu
    source_code: embed
---

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

## Dataset Description {.tabset}
### View of the dataset
```{r}
datatable(quine,extensions = 'Buttons',options = list(dom='Bfrtip',Buttons=c('copy','csv','print','pdf')))
```

### Structure of the dataset

```{r}
str(quine)
```
### summary of the dataset
```{r}
summary(quine)
```
## Univariate analysis {.tabset}

### Analysis of Learners
```{r}
hist(quine$Days)
histogram(~Days|Lrn,data=quine)

```

### Age-wise learner analysis
```{r}
histogram(~Days|Age,data=quine,breaks = 50,col=c("red","blue"),main="Age vs Learners")
```