GP03: Exploring Gun Deaths in the US

1: Introducing US Gun Deaths Data



In [2]:

    
import csv

with open("../data/GP03/guns.csv", "r") as f:
    reader = csv.reader(f)
    data = list(reader)



In [3]:

    
print(data[:5])









    



[['', 'year', 'month', 'intent', 'police', 'sex', 'age', 'race', 'hispanic', 'place', 'education'], ['1', '2012', '01', 'Suicide', '0', 'M', '34', 'Asian/Pacific Islander', '100', 'Home', 'BA+'], ['2', '2012', '01', 'Suicide', '0', 'F', '21', 'White', '100', 'Street', 'Some college'], ['3', '2012', '01', 'Suicide', '0', 'M', '60', 'White', '100', 'Other specified', 'BA+'], ['4', '2012', '02', 'Suicide', '0', 'M', '64', 'White', '100', 'Home', 'BA+']]

2: Removing Headers From A List Of Lists



In [4]:

    
headers = data[:1]
data = data[1:]
print(headers)
print(data[:5])









    



[['', 'year', 'month', 'intent', 'police', 'sex', 'age', 'race', 'hispanic', 'place', 'education']]
[['1', '2012', '01', 'Suicide', '0', 'M', '34', 'Asian/Pacific Islander', '100', 'Home', 'BA+'], ['2', '2012', '01', 'Suicide', '0', 'F', '21', 'White', '100', 'Street', 'Some college'], ['3', '2012', '01', 'Suicide', '0', 'M', '60', 'White', '100', 'Other specified', 'BA+'], ['4', '2012', '02', 'Suicide', '0', 'M', '64', 'White', '100', 'Home', 'BA+'], ['5', '2012', '02', 'Suicide', '0', 'M', '31', 'White', '100', 'Other specified', 'HS/GED']]

3: Counting Gun Deaths By Year



In [5]:

    
years = [row[1] for row in data]

year_counts = {}
for year in years:
    if year not in year_counts:
        year_counts[year] = 0
    year_counts[year] += 1

year_counts









    Out[5]:





{'2012': 33563, '2013': 33636, '2014': 33599}

4: Exploring Gun Deaths By Month And Year



In [6]:

    
import datetime

dates = [datetime.datetime(year=int(row[1]), month=int(row[2]), day=1) for row in data]
dates[:5]









    Out[6]:





[datetime.datetime(2012, 1, 1, 0, 0),
 datetime.datetime(2012, 1, 1, 0, 0),
 datetime.datetime(2012, 1, 1, 0, 0),
 datetime.datetime(2012, 2, 1, 0, 0),
 datetime.datetime(2012, 2, 1, 0, 0)]



In [7]:

    
date_counts = {}

for date in dates:
    if date not in date_counts:
        date_counts[date] = 0
    date_counts[date] += 1

date_counts









    Out[7]:





{datetime.datetime(2012, 1, 1, 0, 0): 2758,
 datetime.datetime(2012, 2, 1, 0, 0): 2357,
 datetime.datetime(2012, 3, 1, 0, 0): 2743,
 datetime.datetime(2012, 4, 1, 0, 0): 2795,
 datetime.datetime(2012, 5, 1, 0, 0): 2999,
 datetime.datetime(2012, 6, 1, 0, 0): 2826,
 datetime.datetime(2012, 7, 1, 0, 0): 3026,
 datetime.datetime(2012, 8, 1, 0, 0): 2954,
 datetime.datetime(2012, 9, 1, 0, 0): 2852,
 datetime.datetime(2012, 10, 1, 0, 0): 2733,
 datetime.datetime(2012, 11, 1, 0, 0): 2729,
 datetime.datetime(2012, 12, 1, 0, 0): 2791,
 datetime.datetime(2013, 1, 1, 0, 0): 2864,
 datetime.datetime(2013, 2, 1, 0, 0): 2375,
 datetime.datetime(2013, 3, 1, 0, 0): 2862,
 datetime.datetime(2013, 4, 1, 0, 0): 2798,
 datetime.datetime(2013, 5, 1, 0, 0): 2806,
 datetime.datetime(2013, 6, 1, 0, 0): 2920,
 datetime.datetime(2013, 7, 1, 0, 0): 3079,
 datetime.datetime(2013, 8, 1, 0, 0): 2859,
 datetime.datetime(2013, 9, 1, 0, 0): 2742,
 datetime.datetime(2013, 10, 1, 0, 0): 2808,
 datetime.datetime(2013, 11, 1, 0, 0): 2758,
 datetime.datetime(2013, 12, 1, 0, 0): 2765,
 datetime.datetime(2014, 1, 1, 0, 0): 2651,
 datetime.datetime(2014, 2, 1, 0, 0): 2361,
 datetime.datetime(2014, 3, 1, 0, 0): 2684,
 datetime.datetime(2014, 4, 1, 0, 0): 2862,
 datetime.datetime(2014, 5, 1, 0, 0): 2864,
 datetime.datetime(2014, 6, 1, 0, 0): 2931,
 datetime.datetime(2014, 7, 1, 0, 0): 2884,
 datetime.datetime(2014, 8, 1, 0, 0): 2970,
 datetime.datetime(2014, 9, 1, 0, 0): 2914,
 datetime.datetime(2014, 10, 1, 0, 0): 2865,
 datetime.datetime(2014, 11, 1, 0, 0): 2756,
 datetime.datetime(2014, 12, 1, 0, 0): 2857}

5: Exploring Gun Deaths By Race And Sex



In [8]:

    
sexes = [row[5] for row in data]
sex_counts = {}
for sex in sexes:
    if sex not in sex_counts:
        sex_counts[sex] = 0
    sex_counts[sex] += 1
sex_counts









    Out[8]:





{'F': 14449, 'M': 86349}



In [9]:

    
races = [row[7] for row in data]
race_counts = {}
for race in races:
    if race not in race_counts:
        race_counts[race] = 0
    race_counts[race] += 1
race_counts









    Out[9]:





{'Asian/Pacific Islander': 1326,
 'Black': 23296,
 'Hispanic': 9022,
 'Native American/Native Alaskan': 917,
 'White': 66237}



In [ ]: