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
[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"
---
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()
```