India conducted general elections between 7th April and 12th May , which elected a Member of Parliament to represent each of the 543 constituencies that make up the country.
The opposition BJP won 31% of the votes, which yielded them 282 out of 543 seats in parliament, or 52% of all seats. The BJP allied with smaller parties, such as the Telugu Desam Party, to form the National Democratic Alliance (NDA). Altogether, the NDA won 39% of the votes and 336 seats (62%).
Turnout was pretty good: 541 million Indians, or 66% of the total vote bank, participated in the polls.
Google and Bing both performed excellent analytics on the election results, but I thought Bing’s was easier to use since their visual is a clean and simple India-only map. They actually out-simpled Google this time.
Interestingly, the BJP’s victories seem to come largely from Hindi speakers, traditionally concentrated in the north and west parts of India. Plenty of non-Hindi speakers voted for the BJP too, such as in Gujarat and Maharashtra, but votes in south and east of the country generally went to a more diverse pantheon of parties.
In my experience, central London is generally a safe place, but I was robbed there two years ago. A friend and I got lost on our way to a pancake house (serving, not made of), so I took my new iPhone out to consult a map. In a flash, a bicyclist zoomed past and plucked my phone out of my hands. Needless to say, I lost my appetite for pancakes that day.
But I am far from alone. Here, I have plotted 506 instances of theft, violence, arson, drug trade, and anti-social behaviour onto a map of London. The data I am using only lists crimes in the City of London, a small area within central London which hosts the global HQs of many banks and law firms, for the month of February 2014.
Each point on this map is not a single instance of crime – recall that the data lists over 500 instances of crime. So, each point corresponds to multiple instances of crime which happened at a particular spot. So, it is probably best to split the map into hexagons (no particular reason for my choice of shape) which are colour coded to explain how dense the crime in that area is.
A particular hotspot for crime appears to be the area around the Gherkin, or 30 St Mary’s Axe, Britain’s most expensive office building.
Data from data.police.uk; Graphics produced on R using ggplot2 package; Map from Google maps.