Added 3 datasets from 2 sources

Number of people wounded from global terrorism database (1970-2013),
Number of people killed from global terrorism database (1970-2013),
First digit of numbers from uniqpass dictionary. 


Passwords may be alphanumeric or even contain special characters, hence my methodology in this instance was to reduce the original list to a set of passwords that begin with a digit (1-9) and determine their relative frequency within this subset. Within this context, "9zZZNH" is an acceptable value and not a typo. 

An alternative methodology would be to filter the list down to a subset of passwords that is entirely numeric. I tried this too; and it produces the results below... doesn't fit Benford's law as well. 

{
    "values": {
        "1": 17.02,
        "2": 11.65,
        "3": 11.68,
        "4": 8.57,
        "5": 10.26,
        "6": 9.16,
        "7": 8.97,
        "8": 12.99,
        "9": 9.70
    },
    "num_records": "465,695",
    "min_value": "1",
    "max_value": "12345678910111213141516171819",
    "source": "http://dazzlepod.com/uniqpass/"
}