Initial version of this blog was written few years back. Since then, once in a while I would tinker with the visualisation, with the hope to share it. There are two things which make me want to share it. 1. It was the first time that I had explored data with visualiation, and came up with unanswered questions. 2. The visualization changed gradually, as a particular sorry emerged. This blog is an example of data and visualization interplay. You might read the blog to gain a perspective on the data (2011 census of India) or to understand the interplay of data and visualization.
Initial version of this was done few years back. Once in a while, I would tinker with the visualisation, with the hope of sharing it sometime.
Colleague of mine (Anantha Kumaran) did some visualizations of census data. One of them, about the age distribution, looked interesting. That was the starting point of my exploration.
Lets start with the data.
The Indian census for 2011 has data at district level. But we will only look at state level data. As an example, here are 2 entries from the data that we will be trying to visualize. There are possibilities of many more visual, with the census data. This is just one option.
|State||Age||Female population||Male population|
|Jammu & Kashmir||30||152274||163327|
Population count by age
There are 4 dimentions we can explore. State, age, gender and size
of population. If it was total population split by age, we could have
plotted it as a bar chart with
x axis as age, and
axis as the population size, and shown small multiples for
each state. E.g. Visualization of india’s total population.