Documentation

The National Family Health Survey (NFHS) is a large-scale, multi-round survey conducted in a representative sample of households throughout India. Three rounds of the survey have been conducted since the first survey in 1992-93. This dashboard uses district factsheet data of the latest NFHS-5 data held in 2019-2020. The dashboard gives state wise filtering and display bar chart of health indicators district ise. This will help in easy searching of the Data to find district level indicators. See the Link for data source: https://www.kaggle.com/datasets/kmldas/india-national-family-health-survey-nfhs?resource=download.

Description of Shiny App.

• Link for the shiny app . See https://varunmr.shinyapps.io/NFHS/
• Select the State then indicator you are interested.
• A barplot output with district values will be shown. It filters the state and select indicator column at server.
• Link for the git hub rep - https://github.com/Varunmr88/NFHS

Slide with R Output

nfhs <- read_csv("D:/Data Science/R/John Hopkins/Data Products/Shiny/nfhs/data/NFHS_5_India_Districts_Factsheet_Data.csv")

## Rows: 707 Columns: 109
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (31): District Names, State/UT, Deaths in the last 3 years registered wi...
## dbl (78): Number of Households surveyed, Number of Women age 15-49 years int...
## 
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.

 nfhs1<-nfhs%>%
           filter(`State/UT`=="Bihar")%>%select(`Men age 15 years and above who consume alcohol (%)`,1:2)
        ggplot(data=nfhs1,aes(x=reorder(`District Names`,`Men age 15 years and above who consume alcohol (%)`),y=`Men age 15 years and above who consume alcohol (%)`,fill=`District Names`))+
            geom_bar(stat = "identity",show.legend = FALSE)+
            geom_text(nfhs1,mapping=aes(label=`Men age 15 years and above who consume alcohol (%)`))+
            coord_flip()+
            labs(x="District Names",y="Men age 15 years and above who consume alcohol (%)")+
            theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank(),
                                                             panel.background = element_blank(),axis.text.x = element_blank(),
                  axis.ticks.x = element_blank(),axis.text = element_text(face="bold"))

Conclusion

The app really helps to quickly see district indicators without going through district factsheet pdf of every district.