[1] "Dataset Description"[1] "chart E"[1] "chart F"[1] "View of dataset"[1] "Structure of dataset"'data.frame': 64 obs. of 5 variables:
$ District: Factor w/ 4 levels "1","2","3","4": 1 1 1 1 1 1 1 1 1 1 ...
$ Group : Ord.factor w/ 4 levels "<1l"<"1-1.5l"<..: 1 1 1 1 2 2 2 2 3 3 ...
$ Age : Ord.factor w/ 4 levels "<25"<"25-29"<..: 1 2 3 4 1 2 3 4 1 2 ...
$ Holders : int 197 264 246 1680 284 536 696 3582 133 286 ...
$ Claims : int 38 35 20 156 63 84 89 400 19 52 ...[1] "Summary of dataset" District Group Age Holders Claims
1:16 <1l :16 <25 :16 Min. : 3.00 Min. : 0.00
2:16 1-1.5l:16 25-29:16 1st Qu.: 46.75 1st Qu.: 9.50
3:16 1.5-2l:16 30-35:16 Median : 136.00 Median : 22.00
4:16 >2l :16 >35 :16 Mean : 364.98 Mean : 49.23
3rd Qu.: 327.50 3rd Qu.: 55.50
Max. :3582.00 Max. :400.00 Link to Dataset description
---
title: "Data manipulation for diamond dataset"
output:
flexdashboard::flex_dashboard:
orientation: columns
vertical_layout: scroll
theme: paper
social: menu
source_code: embed
---
```{r setup, include=FALSE}
library(flexdashboard)
library(MASS)
install.packages("DT")
library(DT)
```
# About dataset
Column {data-width=650}
-----------------------------------------------------------------------
### Dataset Description
```{r}
print("Dataset Description")
```
### Chart E
```{r}
print("chart E")
```
### Chart F
```{r}
print("chart F")
```
# inference about dataset
Column {data-width=350, .tabset}
-----------------------------------------------------------------------
### View of dataset
```{r}
print("View of dataset")
datatable(Insurance)
```
### Structure of dataset
```{r}
print("Structure of dataset")
str(Insurance)
```
### Summary of dataset
```{r}
print("Summary of dataset")
summary(Insurance)
```
Link to [Dataset description]