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This post presents a tiny slice of a complex and diverse India using charts. (Data retrieval from Wikipedia on 9 July, 2013 and the analysis were performed using R; charts were generated using ggplot2, googleVis and wordcloud. More information can be found in the code used for this analysis at github.)

Objective
Present information regarding the following visually, using charts.
1. Official languages, sex ratio, percentage (or ratio) of urban to total population and literacy rates across different states and union territories (UTs) of India.
2. Different religions of the country and demographic variables, such as literacy rates and sex ratios.

Data

The following tables were arrived at after data were cleaned. (You can click on the header of any column to arrange the table based on that column.)

States and Union Territories of India (with some demographic information)

Religions in India (with some demographic information)

Visualizing Demographics

Let’s focus on the data presented in the first table above.

Literacy Rate (in %) of different states and UTs
(You can hover over the map to get corresponding values)
You can click on the graph below regarding literacy rates to enlarge it.
Sex Ratio of different states and UTs
It is a measure of number of females to 1000 males.

(You can hover over the map to get corresponding values)
You can click on the graph below regarding sex ratio to enlarge it
Urban to Total Population Percent in Different States
(You can hover over the map to get corresponding values)

You can click on the graph below regarding Urban to Total Population Percent to enlarge it
Number of Official Languages in different States and UTs (graph can be clicked to enlarge)
Which Languages are more popular (are designated as an “Official Language” by different states and UTs)? (Graph and wordcloud can be clicked to enlarge them)
Relationship between Sex Ratio, Urban To Total Population Percent,  Literacy Rate, and Number of Official Languages – These graphs can be clicked to enlarge them.

For scaling purposes in the graph below, Sex Ratio was divided by 10, making it number of females to 100 males.

Correlation Matrix

The correlation coefficients do not attain significance at an alpha of .05, suggesting that there is no relationship between these variables.

Religion and Demographics

Let’s take a brief look at data from the religion and demographics table in the two graphs below. (The graphs can be clicked to enlarge them.) For scaling purposes, in both graphs below, Sex Ratio related variables were divided by 10, making these variables number of females to 100 males.

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