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Chart A

'data.frame':   14 obs. of  6 variables:
 $ Year                                                       : int  2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 ...
 $ No..of.banks                                               : int  42 40 38 33 31 29 29 28 31 32 ...
 $ Deposits_in_India                                          : int  59178 64511 69297 80132 86389 113745 150750 191161 214076 232099 ...
 $ Cash.in.hand.and.Balance.with.RBI                          : int  3904 4047 4557 7277 6759 8108 12145 22011 15642 19097 ...
 $ Investments                                                : int  35761 35094 40796 41587 42858 52383 71471 98910 130354 159291 ...
 $ Loans.and.advances..including.bills.purchased...discounted.: int  42997 48632 52171 60507 75319 97562 126339 161133 165385 163260 ...

Data Analysis

chart B-(i)

Chart B-(ii)

BoxPlot

### Boxplot

### Boxplot 2

Download

Chart C

count(No. of banks)

chart D

---
title: "Banks"
output: 
  flexdashboard::flex_dashboard:
    orientation: columns
    vertical_layout: fill
    theme: sandsto
    storyboard: TRUE
    social : menu
    source_code: embed
---

```{r setup, include=FALSE}
libraries=c("flexdashboard","DT","lattice","MASS")
lapply(libraries,require,character.only=TRUE)
```

Home{.tabset}
===============

### Chart A

```{r}
a=read.csv(file.choose(),header = TRUE)
str(a)
attach(a)
```


 Data Analysis{.tabset}
==============

### chart B-(i) {data-width=150}
```{r}
histogram(Deposits_in_India)
```


### Chart B-(ii){data-width=150}

```{r}
histogram(a$Loans.and.advances..including.bills.purchased...discounted.)

```

# BoxPlot {.tabset}

### Boxplot
---------------------------------------------------------------------------

```{r}
boxplot(Deposits_in_India~Investments,col="cyan",main="bank Data in BoxPlot",xlim=c(0,15),las=1)
```

### Boxplot 2
---------------------------------------------------------------------------

```{r}
boxplot(Investments~Loans.and.advances..including.bills.purchased...discounted., col="wheat",main="plot 2",xlim=c(0,15),las=1)
```

# Download {.tabset}


### Chart C

```{r}
value=sum(a$No..of.banks)
valueBox("count(No. of banks)",value)
```

### chart D
```{r}
datatable(a,extensions='Buttons',options=list(dom="Bfrtip",buttons=c('copy','print','pdf','csv')))
```