'data.frame': 150 obs. of 5 variables:
$ Sepal.Length: num 5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ...
$ Sepal.Width : num 3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ...
$ Petal.Length: num 1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ...
$ Petal.Width : num 0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ...
$ Species : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 ... Sepal.Length Sepal.Width Petal.Length Petal.Width
Min. :4.300 Min. :2.000 Min. :1.000 Min. :0.100
1st Qu.:5.100 1st Qu.:2.800 1st Qu.:1.600 1st Qu.:0.300
Median :5.800 Median :3.000 Median :4.350 Median :1.300
Mean :5.843 Mean :3.057 Mean :3.758 Mean :1.199
3rd Qu.:6.400 3rd Qu.:3.300 3rd Qu.:5.100 3rd Qu.:1.800
Max. :7.900 Max. :4.400 Max. :6.900 Max. :2.500
Species
setosa :50
versicolor:50
virginica :50
---
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 (iris)
```
### summary
```{r}
summary(iris)
```
## univariate Analysis {.tabset}
### Analysis of Learners
```{r}
```
### Age wise Learner Analysis
```{r}
```