This dataset is from the story Some People Are Too Superstitious To Have A Baby On Friday The 13th.
There are two files:
US_births_1994-2003_CDC_NCHS.csv
contains U.S. births data for the years 1994 to 2003, as provided by the Centers for Disease Control and Prevention's National Center for Health Statistics.
US_births_2000-2014_SSA.csv
contains U.S. births data for the years 2000 to 2014, as provided by the Social Security Administration.
Both files have the following structure:
Header | Definition |
---|---|
year |
Year |
month |
Month |
date_of_month |
Day number of the month |
day_of_week |
Day of week, where 1 is Monday and 7 is Sunday |
births |
Number of births |
We will try to explore the dataset and find some insights. First, we will read the csv file in classical style.
f=open("US_births_1994-2003_CDC_NCHS.csv","r")
text=f.read()
split_text=text.split("\n")
print(split_text[0:11])
['year,month,date_of_month,day_of_week,births', '1994,1,1,6,8096', '1994,1,2,7,7772', '1994,1,3,1,10142', '1994,1,4,2,11248', '1994,1,5,3,11053', '1994,1,6,4,11406', '1994,1,7,5,11251', '1994,1,8,6,8653', '1994,1,9,7,7910', '1994,1,10,1,10498']
We can use object oriented style of reading the csv file by defining a function.
def read_csv(file_name):
ftext = open(file_name,"r").read()
string_list = ftext.split("\n")
string_list = string_list[1:len(string_list)]
final_list=[]
for row in string_list:
int_fields=[]
string_fields = row.split(",")
for each in string_fields:
int_fields.append(int(each))
final_list.append(int_fields)
return final_list
cdc_list = read_csv("US_births_1994-2003_CDC_NCHS.csv")
print(cdc_list[0:10])
[[1994, 1, 1, 6, 8096], [1994, 1, 2, 7, 7772], [1994, 1, 3, 1, 10142], [1994, 1, 4, 2, 11248], [1994, 1, 5, 3, 11053], [1994, 1, 6, 4, 11406], [1994, 1, 7, 5, 11251], [1994, 1, 8, 6, 8653], [1994, 1, 9, 7, 7910], [1994, 1, 10, 1, 10498]]
def month_births(input_lst):
births_per_month={}
for each in input_lst:
month = each[1]
birth = each[4]
if month in births_per_month:
births_per_month[month] = births_per_month[month] + birth
else:
births_per_month[month] = birth
return births_per_month
cdc_month_births = month_births(cdc_list)
print(cdc_month_births)
{1: 3232517, 2: 3018140, 3: 3322069, 4: 3185314, 5: 3350907, 6: 3296530, 7: 3498783, 8: 3525858, 9: 3439698, 10: 3378814, 11: 3171647, 12: 3301860}
def dow_births(input_lst):
birth_per_wday = {}
for each in input_lst:
day_of_week = each[3]
birth = each[4]
if day_of_week in birth_per_wday:
birth_per_wday[day_of_week] = birth + birth_per_wday[day_of_week]
else:
birth_per_wday[day_of_week] = birth
return birth_per_wday
cdc_day_births = dow_births(cdc_list)
print(cdc_day_births)
{1: 5789166, 2: 6446196, 3: 6322855, 4: 6288429, 5: 6233657, 6: 4562111, 7: 4079723}
def calc_counts(data,column):
births_per_col = {}
for each in data:
req_col = each[column]
birth = each[4]
if req_col in births_per_col:
births_per_col[req_col] = birth + births_per_col[req_col]
else:
births_per_col[req_col] = birth
return births_per_col
cdc_year_births = calc_counts(cdc_list,0)
cdc_month_births = calc_counts(cdc_list,1)
cdc_dom_births = calc_counts(cdc_list,2)
cdc_dow_births = calc_counts(cdc_list,3)
cdc_year_births
{1994: 3952767, 1995: 3899589, 1996: 3891494, 1997: 3880894, 1998: 3941553, 1999: 3959417, 2000: 4058814, 2001: 4025933, 2002: 4021726, 2003: 4089950}
list(cdc_year_births)[0:2]
[2000, 2001]
The function cal_min_max
takes 2 arguments :
input_dict
: the input dictionary input_type
: to indicate whether you want min
and max
as a string valueReturns a single value i.e. min and max as per the specified input_type
parameter
def cal_min_max(input_dict, input_type):
start_index = list(input_dict)[0]
comp = input_dict[start_index]
for index in list(input_dict)[1:len(list(input_dict))]:
if input_type == "min":
if comp > input_dict[index]:
comp = input_dict[index]
if input_type == "max":
if comp < input_dict[index]:
comp = input_dict[index]
return comp
min =cal_min_max(cdc_year_births, "max")
max = cal_min_max(cdc_year_births, "min")
print("The maximum value of dict is",min)
print("The minimum value of dict is",max)
The maximum value of dict is 4089950 The minimum value of dict is 3880894
- For example, how did the number of births on Saturday change each year between 1994 and 2003?
The function cons_diff_year
takes 3 arguments :
inputlst
: Input list inputcol
: Column from input list to be consideredconscol
: Column across which consecutive columns need to be calculatedReturns a dictionary with consecutive difference across years with respective to the consecutive column i.e day of week
def cons_diff_year(inputlst,inputcol,conscol):
temp_dict = {}
diff_dict = {}
for each in inputlst:
if each[inputcol] == conscol:
if each[0] in temp_dict:
temp_dict[each[0]] = each[4] + temp_dict[each[0]]
else:
temp_dict[each[0]] = each[4]
for key,value in temp_dict.items():
if key-1 in temp_dict:
diff_dict[key] = temp_dict[key] - temp_dict[key-1]
else:
diff_dict[key] = 0
return diff_dict
saturday_diff_year = cons_diff_year(cdc_list, 3, 6)
saturday_diff_year
{1994: 0, 1995: -15152, 1996: -3319, 1997: -5421, 1998: 2936, 1999: -3791, 2000: 19809, 2001: -15866, 2002: -8158, 2003: 1675}
Approach :
cdc_list
and assign it to new comb_list
ssa_list
and comb_list
comb_list
ssa_list = read_csv("US_births_2000-2014_SSA.csv")
comb_list = cdc_list
for x in comb_list:
for y in ssa_list:
if (x[0] == y[0]) and (x[1] == y[1]) and (x[2] == y[2]) and (x[3] == y[3]):
x[4] = (x[4] + y[4]) / 2
comb_list
[[1994, 1, 1, 6, 8096], [1994, 1, 2, 7, 7772], [1994, 1, 3, 1, 10142], [1994, 1, 4, 2, 11248], [1994, 1, 5, 3, 11053], [1994, 1, 6, 4, 11406], [1994, 1, 7, 5, 11251], [1994, 1, 8, 6, 8653], [1994, 1, 9, 7, 7910], [1994, 1, 10, 1, 10498], [1994, 1, 11, 2, 11706], [1994, 1, 12, 3, 11567], [1994, 1, 13, 4, 11212], [1994, 1, 14, 5, 11570], [1994, 1, 15, 6, 8660], [1994, 1, 16, 7, 8123], [1994, 1, 17, 1, 10567], [1994, 1, 18, 2, 11541], [1994, 1, 19, 3, 11257], [1994, 1, 20, 4, 11682], [1994, 1, 21, 5, 11811], [1994, 1, 22, 6, 8833], [1994, 1, 23, 7, 8310], [1994, 1, 24, 1, 11125], [1994, 1, 25, 2, 11981], [1994, 1, 26, 3, 11514], [1994, 1, 27, 4, 11702], [1994, 1, 28, 5, 11666], [1994, 1, 29, 6, 8988], [1994, 1, 30, 7, 8096], [1994, 1, 31, 1, 10765], [1994, 2, 1, 2, 11755], [1994, 2, 2, 3, 11483], [1994, 2, 3, 4, 11523], [1994, 2, 4, 5, 11677], [1994, 2, 5, 6, 8991], [1994, 2, 6, 7, 8309], [1994, 2, 7, 1, 10984], [1994, 2, 8, 2, 12152], [1994, 2, 9, 3, 11515], [1994, 2, 10, 4, 11623], [1994, 2, 11, 5, 11517], [1994, 2, 12, 6, 8945], [1994, 2, 13, 7, 8171], [1994, 2, 14, 1, 11551], [1994, 2, 15, 2, 12164], [1994, 2, 16, 3, 12009], [1994, 2, 17, 4, 11674], [1994, 2, 18, 5, 11887], [1994, 2, 19, 6, 8946], [1994, 2, 20, 7, 8402], [1994, 2, 21, 1, 10617], [1994, 2, 22, 2, 11810], [1994, 2, 23, 3, 11776], [1994, 2, 24, 4, 11667], [1994, 2, 25, 5, 11905], [1994, 2, 26, 6, 8988], [1994, 2, 27, 7, 8195], [1994, 2, 28, 1, 11091], [1994, 3, 1, 2, 12127], [1994, 3, 2, 3, 11735], [1994, 3, 3, 4, 11984], [1994, 3, 4, 5, 12066], [1994, 3, 5, 6, 9215], [1994, 3, 6, 7, 8389], [1994, 3, 7, 1, 10996], [1994, 3, 8, 2, 12275], [1994, 3, 9, 3, 11780], [1994, 3, 10, 4, 11792], [1994, 3, 11, 5, 11939], [1994, 3, 12, 6, 9087], [1994, 3, 13, 7, 8248], [1994, 3, 14, 1, 11092], [1994, 3, 15, 2, 12298], [1994, 3, 16, 3, 11865], [1994, 3, 17, 4, 11976], [1994, 3, 18, 5, 11799], [1994, 3, 19, 6, 8944], [1994, 3, 20, 7, 8243], [1994, 3, 21, 1, 11140], [1994, 3, 22, 2, 11964], [1994, 3, 23, 3, 11637], [1994, 3, 24, 4, 11904], [1994, 3, 25, 5, 11568], [1994, 3, 26, 6, 8957], [1994, 3, 27, 7, 8189], [1994, 3, 28, 1, 11051], [1994, 3, 29, 2, 12154], [1994, 3, 30, 3, 11540], [1994, 3, 31, 4, 11782], [1994, 4, 1, 5, 10630], [1994, 4, 2, 6, 8782], [1994, 4, 3, 7, 7530], [1994, 4, 4, 1, 10909], [1994, 4, 5, 2, 11876], [1994, 4, 6, 3, 11811], [1994, 4, 7, 4, 11718], [1994, 4, 8, 5, 11532], [1994, 4, 9, 6, 8791], [1994, 4, 10, 7, 8183], [1994, 4, 11, 1, 11060], [1994, 4, 12, 2, 12146], [1994, 4, 13, 3, 11428], [1994, 4, 14, 4, 11709], [1994, 4, 15, 5, 11753], [1994, 4, 16, 6, 8790], [1994, 4, 17, 7, 7867], [1994, 4, 18, 1, 11094], [1994, 4, 19, 2, 11966], [1994, 4, 20, 3, 11585], [1994, 4, 21, 4, 11509], [1994, 4, 22, 5, 11553], [1994, 4, 23, 6, 8613], [1994, 4, 24, 7, 8089], [1994, 4, 25, 1, 10909], [1994, 4, 26, 2, 12236], [1994, 4, 27, 3, 11701], [1994, 4, 28, 4, 11527], [1994, 4, 29, 5, 11474], [1994, 4, 30, 6, 8621], [1994, 5, 1, 7, 8145], [1994, 5, 2, 1, 11169], [1994, 5, 3, 2, 12023], [1994, 5, 4, 3, 11754], [1994, 5, 5, 4, 11958], [1994, 5, 6, 5, 11904], [1994, 5, 7, 6, 8641], [1994, 5, 8, 7, 8203], [1994, 5, 9, 1, 10914], [1994, 5, 10, 2, 11771], [1994, 5, 11, 3, 11278], [1994, 5, 12, 4, 11822], [1994, 5, 13, 5, 11085], [1994, 5, 14, 6, 8830], [1994, 5, 15, 7, 8253], [1994, 5, 16, 1, 11103], [1994, 5, 17, 2, 12289], [1994, 5, 18, 3, 11668], [1994, 5, 19, 4, 11411], [1994, 5, 20, 5, 11645], [1994, 5, 21, 6, 8830], [1994, 5, 22, 7, 8449], [1994, 5, 23, 1, 11434], [1994, 5, 24, 2, 12562], [1994, 5, 25, 3, 12005], [1994, 5, 26, 4, 11979], [1994, 5, 27, 5, 12132], [1994, 5, 28, 6, 8840], [1994, 5, 29, 7, 8205], [1994, 5, 30, 1, 8468], [1994, 5, 31, 2, 11525], [1994, 6, 1, 3, 12349], [1994, 6, 2, 4, 12166], [1994, 6, 3, 5, 11799], [1994, 6, 4, 6, 9182], [1994, 6, 5, 7, 8289], [1994, 6, 6, 1, 11130], [1994, 6, 7, 2, 12145], [1994, 6, 8, 3, 11784], [1994, 6, 9, 4, 11648], [1994, 6, 10, 5, 12006], [1994, 6, 11, 6, 8618], [1994, 6, 12, 7, 8171], [1994, 6, 13, 1, 10692], [1994, 6, 14, 2, 12074], [1994, 6, 15, 3, 11954], [1994, 6, 16, 4, 11852], [1994, 6, 17, 5, 11744], [1994, 6, 18, 6, 8907], [1994, 6, 19, 7, 8302], [1994, 6, 20, 1, 11337], [1994, 6, 21, 2, 12182], [1994, 6, 22, 3, 12213], [1994, 6, 23, 4, 11939], [1994, 6, 24, 5, 11979], [1994, 6, 25, 6, 9047], [1994, 6, 26, 7, 8306], [1994, 6, 27, 1, 11309], [1994, 6, 28, 2, 12211], [1994, 6, 29, 3, 12245], [1994, 6, 30, 4, 12157], [1994, 7, 1, 5, 12454], [1994, 7, 2, 6, 9268], [1994, 7, 3, 7, 8298], [1994, 7, 4, 1, 8564], [1994, 7, 5, 2, 11609], [1994, 7, 6, 3, 13086], [1994, 7, 7, 4, 13049], [1994, 7, 8, 5, 12623], [1994, 7, 9, 6, 9325], [1994, 7, 10, 7, 8684], [1994, 7, 11, 1, 11567], [1994, 7, 12, 2, 12507], [1994, 7, 13, 3, 12134], [1994, 7, 14, 4, 12485], [1994, 7, 15, 5, 12691], [1994, 7, 16, 6, 9547], [1994, 7, 17, 7, 8848], [1994, 7, 18, 1, 11561], [1994, 7, 19, 2, 12583], [1994, 7, 20, 3, 12378], [1994, 7, 21, 4, 12447], [1994, 7, 22, 5, 12486], [1994, 7, 23, 6, 9463], [1994, 7, 24, 7, 8734], [1994, 7, 25, 1, 11757], [1994, 7, 26, 2, 12591], [1994, 7, 27, 3, 12423], [1994, 7, 28, 4, 12539], [1994, 7, 29, 5, 12231], [1994, 7, 30, 6, 9340], [1994, 7, 31, 7, 8590], [1994, 8, 1, 1, 11428], [1994, 8, 2, 2, 12622], [1994, 8, 3, 3, 12147], [1994, 8, 4, 4, 12601], [1994, 8, 5, 5, 12251], [1994, 8, 6, 6, 9336], [1994, 8, 7, 7, 8517], [1994, 8, 8, 1, 11528], [1994, 8, 9, 2, 12643], [1994, 8, 10, 3, 12525], [1994, 8, 11, 4, 12147], [1994, 8, 12, 5, 12479], [1994, 8, 13, 6, 9474], [1994, 8, 14, 7, 8926], [1994, 8, 15, 1, 11391], [1994, 8, 16, 2, 12605], [1994, 8, 17, 3, 12344], [1994, 8, 18, 4, 12313], [1994, 8, 19, 5, 12227], [1994, 8, 20, 6, 9646], [1994, 8, 21, 7, 8663], [1994, 8, 22, 1, 11489], [1994, 8, 23, 2, 12284], [1994, 8, 24, 3, 12176], [1994, 8, 25, 4, 12076], [1994, 8, 26, 5, 12122], [1994, 8, 27, 6, 9171], [1994, 8, 28, 7, 8779], [1994, 8, 29, 1, 11560], [1994, 8, 30, 2, 12431], [1994, 8, 31, 3, 12272], [1994, 9, 1, 4, 12183], [1994, 9, 2, 5, 12099], [1994, 9, 3, 6, 9042], [1994, 9, 4, 7, 8420], [1994, 9, 5, 1, 8378], [1994, 9, 6, 2, 11448], [1994, 9, 7, 3, 12660], [1994, 9, 8, 4, 12693], [1994, 9, 9, 5, 12811], [1994, 9, 10, 6, 9424], [1994, 9, 11, 7, 8373], [1994, 9, 12, 1, 11500], [1994, 9, 13, 2, 12560], [1994, 9, 14, 3, 12566], [1994, 9, 15, 4, 12655], [1994, 9, 16, 5, 12884], [1994, 9, 17, 6, 9779], [1994, 9, 18, 7, 8603], [1994, 9, 19, 1, 11659], [1994, 9, 20, 2, 12584], [1994, 9, 21, 3, 12468], [1994, 9, 22, 4, 12590], [1994, 9, 23, 5, 12522], [1994, 9, 24, 6, 9597], [1994, 9, 25, 7, 8754], [1994, 9, 26, 1, 11597], [1994, 9, 27, 2, 12591], [1994, 9, 28, 3, 12405], [1994, 9, 29, 4, 12288], [1994, 9, 30, 5, 12090], [1994, 10, 1, 6, 9351], [1994, 10, 2, 7, 8477], [1994, 10, 3, 1, 11437], [1994, 10, 4, 2, 12378], [1994, 10, 5, 3, 12061], [1994, 10, 6, 4, 12017], [1994, 10, 7, 5, 12050], [1994, 10, 8, 6, 8981], [1994, 10, 9, 7, 8038], [1994, 10, 10, 1, 11110], [1994, 10, 11, 2, 12236], [1994, 10, 12, 3, 11846], [1994, 10, 13, 4, 11398], [1994, 10, 14, 5, 11959], [1994, 10, 15, 6, 9077], [1994, 10, 16, 7, 8022], [1994, 10, 17, 1, 11127], [1994, 10, 18, 2, 11888], [1994, 10, 19, 3, 11533], [1994, 10, 20, 4, 11876], [1994, 10, 21, 5, 11562], [1994, 10, 22, 6, 9086], [1994, 10, 23, 7, 7914], [1994, 10, 24, 1, 11068], [1994, 10, 25, 2, 12019], [1994, 10, 26, 3, 11683], [1994, 10, 27, 4, 11420], [1994, 10, 28, 5, 11608], [1994, 10, 29, 6, 8855], [1994, 10, 30, 7, 8262], [1994, 10, 31, 1, 9833], [1994, 11, 1, 2, 12316], [1994, 11, 2, 3, 11736], [1994, 11, 3, 4, 11703], [1994, 11, 4, 5, 11956], [1994, 11, 5, 6, 8826], [1994, 11, 6, 7, 8100], [1994, 11, 7, 1, 11283], [1994, 11, 8, 2, 11999], [1994, 11, 9, 3, 11811], [1994, 11, 10, 4, 11728], [1994, 11, 11, 5, 11533], [1994, 11, 12, 6, 8672], [1994, 11, 13, 7, 8093], [1994, 11, 14, 1, 11044], [1994, 11, 15, 2, 11985], [1994, 11, 16, 3, 11634], [1994, 11, 17, 4, 11703], [1994, 11, 18, 5, 11826], [1994, 11, 19, 6, 8771], [1994, 11, 20, 7, 8133], [1994, 11, 21, 1, 11807], [1994, 11, 22, 2, 12764], [1994, 11, 23, 3, 11332], [1994, 11, 24, 4, 8036], [1994, 11, 25, 5, 9419], [1994, 11, 26, 6, 8427], [1994, 11, 27, 7, 7937], [1994, 11, 28, 1, 11003], [1994, 11, 29, 2, 12177], [1994, 11, 30, 3, 11643], [1994, 12, 1, 4, 11681], [1994, 12, 2, 5, 11379], [1994, 12, 3, 6, 8585], [1994, 12, 4, 7, 7980], [1994, 12, 5, 1, 10772], [1994, 12, 6, 2, 11923], [1994, 12, 7, 3, 11335], [1994, 12, 8, 4, 11337], [1994, 12, 9, 5, 11205], [1994, 12, 10, 6, 8461], [1994, 12, 11, 7, 7936], [1994, 12, 12, 1, 11106], [1994, 12, 13, 2, 11884], [1994, 12, 14, 3, 11716], [1994, 12, 15, 4, 11962], [1994, 12, 16, 5, 12144], [1994, 12, 17, 6, 8726], [1994, 12, 18, 7, 8130], [1994, 12, 19, 1, 11502], [1994, 12, 20, 2, 12880], [1994, 12, 21, 3, 12391], [1994, 12, 22, 4, 11504], [1994, 12, 23, 5, 10087], [1994, 12, 24, 6, 7898], [1994, 12, 25, 7, 7192], [1994, 12, 26, 1, 8454], [1994, 12, 27, 2, 11131], [1994, 12, 28, 3, 12398], [1994, 12, 29, 4, 12189], [1994, 12, 30, 5, 12051], [1994, 12, 31, 6, 8809], [1995, 1, 1, 7, 7828], [1995, 1, 2, 1, 7883], [1995, 1, 3, 2, 9999], [1995, 1, 4, 3, 11315], [1995, 1, 5, 4, 11243], [1995, 1, 6, 5, 11506], [1995, 1, 7, 6, 8681], [1995, 1, 8, 7, 7821], [1995, 1, 9, 1, 10434], [1995, 1, 10, 2, 11665], [1995, 1, 11, 3, 11279], [1995, 1, 12, 4, 11416], [1995, 1, 13, 5, 11071], [1995, 1, 14, 6, 8887], [1995, 1, 15, 7, 7988], [1995, 1, 16, 1, 10417], [1995, 1, 17, 2, 11345], [1995, 1, 18, 3, 11252], [1995, 1, 19, 4, 11331], [1995, 1, 20, 5, 11481], [1995, 1, 21, 6, 8746], [1995, 1, 22, 7, 7956], [1995, 1, 23, 1, 10640], [1995, 1, 24, 2, 11344], [1995, 1, 25, 3, 11096], [1995, 1, 26, 4, 11380], [1995, 1, 27, 5, 11340], [1995, 1, 28, 6, 8781], [1995, 1, 29, 7, 8009], [1995, 1, 30, 1, 10515], [1995, 1, 31, 2, 11364], [1995, 2, 1, 3, 11279], [1995, 2, 2, 4, 11490], [1995, 2, 3, 5, 11264], [1995, 2, 4, 6, 8769], [1995, 2, 5, 7, 8017], [1995, 2, 6, 1, 10587], [1995, 2, 7, 2, 11483], [1995, 2, 8, 3, 11205], [1995, 2, 9, 4, 11282], [1995, 2, 10, 5, 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