Dataset Description

Summary of Dataset

    Sl.No           Name of the District Beneficiaries in 2010 - 11
 Length:10          Length:10            Min.   :  1024            
 Class :character   Class :character     1st Qu.: 19260            
 Mode  :character   Mode  :character     Median : 37616            
                                         Mean   : 66889            
                                         3rd Qu.: 66966            
                                         Max.   :267555            
                                         NA's   :2                 
 Beneficiaries in 2011 - 12 Beneficiaries in 2012 - 13
 Min.   :  40653            Min.   :  7103            
 1st Qu.: 138254            1st Qu.: 22597            
 Median : 199350            Median : 27172            
 Mean   : 311263            Mean   : 53370            
 3rd Qu.: 274355            3rd Qu.: 46904            
 Max.   :1245052            Max.   :213481            
 NA's   :2                  NA's   :2                 
 Beneficiaries in 2013 - 14 Beneficiaries in 2014 - 15
 Min.   : 4545              Min.   :  7270            
 1st Qu.: 6312              1st Qu.: 25071            
 Median : 9278              Median : 33622            
 Mean   :16826              Mean   : 68673            
 3rd Qu.:14846              3rd Qu.: 70798            
 Max.   :67305              Max.   :343363            
 NA's   :2                                            
 Beneficiaries in 2015 - 16 Beneficiaries in 2016 - 17
 Min.   :   227.0           Min.   :   564            
 1st Qu.:   883.2           1st Qu.:  3596            
 Median :  2632.0           Median :  7613            
 Mean   : 27126.2           Mean   : 23242            
 3rd Qu.: 16514.2           3rd Qu.: 19483            
 Max.   :135631.0           Max.   :116209            
                                                      
 Beneficiaries in 2017 - 18  Grand Total     
 Min.   :  1772             Min.   :  87832  
 1st Qu.:  6014             1st Qu.: 168768  
 Median : 14298             Median : 296784  
 Mean   : 30218             Mean   : 507938  
 3rd Qu.: 27546             3rd Qu.: 372136  
 Max.   :151092             Max.   :2539688  
                                             

Dimentions and Column names

[1] "Column Names"
 [1] "Sl.No"                      "Name of the District"      
 [3] "Beneficiaries in 2010 - 11" "Beneficiaries in 2011 - 12"
 [5] "Beneficiaries in 2012 - 13" "Beneficiaries in 2013 - 14"
 [7] "Beneficiaries in 2014 - 15" "Beneficiaries in 2015 - 16"
 [9] "Beneficiaries in 2016 - 17" "Beneficiaries in 2017 - 18"
[11] "Grand Total"               

Analysis

Beneficiaries in 2016 - 17

Beneficiaries in 2017 - 18

Analysis

District wise Beneficiaries in 2016 - 17

Beneficiaries in 2016 - 17 and 2017 - 18

Analysis

Beneficiaries from 2016-17 and 2017-18

Beneficiaries from 2017-18 to Total

---
title: "Benificiaries_under_saakshar_bharat_programme" 
output: 
  flexdashboard::flex_dashboard:
    orientation: rows
    vertical_layout: scroll
    theme: spacelab
    social: menu
    source_code: embed
---

```{r setup, include=FALSE}
library(MASS)
library(lattice)
library(dplyr)
library(ggplot2)
library(rmarkdown)
library(readr)
library(flexdashboard)
```
```{r}
benificiaries = read_csv("/cloud/project/crime/details_of_benificiaries_under_saakshar_bharat_programme.csv")

attach(benificiaries)

```

## Dataset Description {.tabset}
### Summary of Dataset
```{r}
O_benificiaries=na.omit(benificiaries)
summary(benificiaries)
```

### Dimentions and Column names
```{r}
"Column Names"
colnames(benificiaries)
```

## Analysis {.tabset}
### Beneficiaries in 2016 - 17
```{r}
ggplot(O_benificiaries, aes(x =`Beneficiaries in 2016 - 17`)) +
  geom_histogram(bins = 20, fill = "pink", color = "black") +
  theme_minimal() +
  labs(title = "Beneficiaries in 2016 - 17")
```

### Beneficiaries in 2017 - 18
```{r}
ggplot(O_benificiaries, aes(x =`Beneficiaries in 2017 - 18`)) +
  geom_histogram(bins = 20, fill = "pink", color = "black") +
  theme_minimal() +
  labs(title = "Beneficiaries in 2017 - 18")

```

## Analysis {.tabset}
### District wise Beneficiaries in 2016 - 17
```{r}
ggplot(O_benificiaries, aes(x=`Name of the District`, y=`Beneficiaries in 2016 - 17`)) + 
  geom_boxplot(fill="steelblue",notch = TRUE)
```

### Beneficiaries in 2016 - 17 and 2017 - 18
```{r}
ggplot(O_benificiaries, aes(x=`Beneficiaries in 2016 - 17`, y=`Beneficiaries in 2017 - 18`)) + 
  geom_boxplot(fill="steelblue")
```

## Analysis {.tabset}
### Beneficiaries from 2016-17 and 2017-18
```{r}
ggplot(O_benificiaries, aes(x=`Beneficiaries in 2016 - 17`, y=`Beneficiaries in 2017 - 18`)) + 
  geom_point()
```

### Beneficiaries from 2017-18 to Total
```{r}
ggplot(O_benificiaries, aes(x=`Beneficiaries in 2017 - 18`, y=`Grand Total`)) + 
  geom_point()
```