Week 6 – Indian women in a fix

The title of this post says it all. The course might be officially over, but there is so much to grasp and apply, that only practice can embed the learning now. As I wrote in my previous post, my initial struggle in finding a suitable topic really got to me. When nothing came to mind, I sought for inspiration from my surrounding. One day I sat infront of the television listening to the news, when I came across yet another case of a girl whose father was shot for warning the lecherous man who eve-teased his daughter. Then it dawned over me (just like the cliché light bulb over my head) that this could be the topic to visualize. All I had to do now was to pray that I find data specific to this project.

When I started thinking about the topic, I realized that there was a need for a bigger picture and finer details. As seen in my sketch below, there were some aspects of the topics I could consider (thankfully I found decent amount of data for it too). These aspects are listed as following:

  1. G20 country ranking
  2. Overall Population of the country
  3. Female population
  4. Crimes that are taken into consideration
  5. Sex Ratio of States
  6. Incidence of crime across the country
  7. Rape cases reported (since that’s always in the news)
  8. Age-wise distribution of the cases

Of all these little stories, I couldn’t use all of them and therefore the selection process began. Some of the decisions were my conscious choice, while others were as a result of the layout of the infographic. Either ways I realized, that since one of the limitations (or maybe not) of a print graphic is its one glance view and not step-by-step journey (as incase of an interactive piece), I cannot afford to put all the details in this one piece.

Anyways one thing led to another and the final piece looked like this:
WEEK 6 For a clearer, zoomable view please see the link here

Please Note: I couldn’t find data for number of rape cases state-wise reported in 2011. If you can provide me with that data, Il update the infograph ASAP.

The story is basically to throw some light on the topic and show that while the male-female population is growing in sync with each passing year, the cases of crime against women has jumped to quite an extent. I am not sure yet of the reason and cause behind this (politicians and the culprits have their own versions), but the data surely opens our eyes to the status of crime in this country. Doing this project surely made the facts clearer to me. Being a girl in this country, I think it was a good topic to explore, gives more context to the news I hear everyday.

There are some graphs I didn’t manage to accommodate in the final infograph.
leftover1 leftover3

With just 4 days in hand, I did the best I could. I went through a great process and I know that for me the process was a bigger achievement than the final result. Having said that, I know myself that this particular infograph can be improved a lot (especially the colours). The course has motivated me to do many topics in the future and probably after I have slept a little, I will relook at this, like my other exercises on MOOC and improve on it.

Notes
Note1 Note2NOTE-3

Source

Links
http://feministsindia.com/india-ranked-worst-g20-country-for-women/
http://www.tradingeconomics.com/india/population-female-percent-of-total-wb-data.html
http://india60.com/stats/census/2011/

Reports
http://ncrb.nic.in/CD-CII2011/cii-2011/Chapter%205.pdf
http://www.trust.org/documents/womens-rights/resources/G20Poll2012-methodologyandresults.pdf
http://nipccd.nic.in/reports/ehndbk10.pdf
http://cbhidghs.nic.in/writereaddata/linkimages/6%20Demographic%20indicators9490761835.pdf

I guess I will write a separate post about my experience with MOOC but for now I can say that it was a great experience.

Week 6 – Indian women in a fix

7 thoughts on “Week 6 – Indian women in a fix

  1. Akshan says:

    Pretty nicely done, this. Gives a clear picture. Its a grave scenario. Cruelty by Husbands increasing so much. So much for being civilized.

    I think your last section, Crimes relative to population needs to be more clearly represented. Those three graphs placed next to each other do not immediately tell the co-relation that you’re trying to communicate.

    Overall, very required, this. Maybe you should refine it and put it out for the people to see.

    1. I should na? I am thinking I should try and rework on this dataset again. I agree I struggled a lot in getting the connection between those three charts at the bottom. Almost like my resort and this is not my best effort (I can feel it in my bones). Thanks for your feedback Akshan, appreciate it.

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