gimi9 Pandas Profiling

Dataset statistics

Number of variables	17
Number of observations	8937
Missing cells	18867
Missing cells (%)	12.4%
Duplicate rows	382
Duplicate rows (%)	4.3%
Total size in memory	1.2 MiB
Average record size in memory	142.0 B

Variable types

Categorical	3
Numeric	5
Text	9

Dataset

Description	시군구코드,처분일자,교부번호,업종명,업태명,업소명,소재지도로명,소재지지번,지도점검일자,행정처분상태,처분명,법적근거,위반일자,위반내용,처분내용,처분기간,영업장면적(㎡)
Author	성북구
URL	https://data.seoul.go.kr/dataList/OA-11149/S/1/datasetView.do

Alerts

`시군구코드` has constant value ""	Constant
`행정처분상태` has constant value ""	Constant
Dataset has 382 (4.3%) duplicate rows	Duplicates
`처분일자` is highly overall correlated with `지도점검일자` and 1 other fields	High correlation
`지도점검일자` is highly overall correlated with `처분일자` and 1 other fields	High correlation
`위반일자` is highly overall correlated with `처분일자` and 1 other fields	High correlation
`업종명` is highly imbalanced (54.3%)	Imbalance
`소재지도로명` has 4948 (55.4%) missing values	Missing
`처분기간` has 8225 (92.0%) missing values	Missing
`영업장면적(㎡)` has 5678 (63.5%) missing values	Missing
`지도점검일자` is highly skewed (γ1 = -81.6310143)	Skewed
`위반일자` is highly skewed (γ1 = -61.73170216)	Skewed

Reproduction

Analysis started	2024-05-17 23:12:33.703457
Analysis finished	2024-05-17 23:12:47.249161
Duration	13.55 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

시군구코드
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	69.9 KiB

3070000	8937

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3070000
2nd row	3070000
3rd row	3070000
4th row	3070000
5th row	3070000

Common Values

Value	Count	Frequency (%)
3070000	8937	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3070000	8937	100.0%

처분일자
Real number (ℝ)

HIGH CORRELATION

Distinct	2879
Distinct (%)	32.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20121669

Minimum	20001106
Maximum	20800317
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.7 KiB

Quantile statistics

Minimum	20001106
5-th percentile	20030422
Q1	20070816
median	20110513
Q3	20171011
95-th percentile	20231113
Maximum	20800317
Range	799211
Interquartile range (IQR)	100195

Descriptive statistics

Standard deviation	64985.6
Coefficient of variation (CV)	0.0032296326
Kurtosis	0.21130987
Mean	20121669
Median Absolute Deviation (MAD)	50017
Skewness	0.39873674
Sum	1.7982736 × 10¹¹
Variance	4.2231282 × 10⁹
Monotonicity	Decreasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20201216	66	0.7%
20230616	65	0.7%
20080414	58	0.6%
20230627	56	0.6%
20080305	54	0.6%
20240111	54	0.6%
20230623	53	0.6%
20050704	47	0.5%
20080321	47	0.5%
20140318	46	0.5%
Other values (2869)	8391	93.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20001106	4	< 0.1%
20001208	1	< 0.1%
20010116	1	< 0.1%
20010206	2	< 0.1%
20010209	1	< 0.1%
20010217	2	< 0.1%
20010226	1	< 0.1%
20010309	1	< 0.1%
20010329	2	< 0.1%
20010406	2	< 0.1%

Value	Count	Frequency (%)
20800317	1	< 0.1%
20240404	1	< 0.1%
20240319	1	< 0.1%
20240314	7	0.1%
20240228	4	< 0.1%
20240223	1	< 0.1%
20240222	2	< 0.1%
20240221	5	0.1%
20240220	1	< 0.1%
20240219	1	< 0.1%

교부번호
Text

Distinct	4636
Distinct (%)	51.9%
Missing	1
Missing (%)	< 0.1%
Memory size	69.9 KiB

Length

Max length	14
Median length	11
Mean length	10.635631
Min length	3

Characters and Unicode

Total characters	95040
Distinct characters	28
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2824 ?
Unique (%)	31.6%

Sample

1st row	20040051251
2nd row	20230067365
3rd row	20020050596
4th row	19950050925
5th row	20030050506

Value	Count	Frequency (%)
20010051169	95	1.1%
20050050498	48	0.5%
20100050359	28	0.3%
20200051044	26	0.3%
20070050615	25	0.3%
19950050486	25	0.3%
19990050677	24	0.3%
19950050320	22	0.2%
20180050303	22	0.2%
19990050117	21	0.2%
Other values (4630)	8613	96.2%

Most occurring characters

Value	Count	Frequency (%)
0	38587	40.6%
5	11768	12.4%
2	9431	9.9%
1	9028	9.5%
9	7524	7.9%
3	3688	3.9%
4	3679	3.9%
7	3315	3.5%
8	3308	3.5%
6	3282	3.5%
Other values (18)	1430	1.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	93610	98.5%
Other Letter	1362	1.4%
Dash Punctuation	54	0.1%
Space Separator	13	< 0.1%
Other Punctuation	1	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
용	260	19.1%
미	194	14.2%
박	149	10.9%
숙	149	10.9%
욕	113	8.3%
목	113	8.3%
탁	70	5.1%
세	70	5.1%
이	66	4.8%
위	44	3.2%
Other values (5)	134	9.8%

Decimal Number

Value	Count	Frequency (%)
0	38587	41.2%
5	11768	12.6%
2	9431	10.1%
1	9028	9.6%
9	7524	8.0%
3	3688	3.9%
4	3679	3.9%
7	3315	3.5%
8	3308	3.5%
6	3282	3.5%

Dash Punctuation

Value	Count	Frequency (%)
-	54	100.0%

Space Separator

Value	Count	Frequency (%)
	13	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	93678	98.6%
Hangul	1362	1.4%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
용	260	19.1%
미	194	14.2%
박	149	10.9%
숙	149	10.9%
욕	113	8.3%
목	113	8.3%
탁	70	5.1%
세	70	5.1%
이	66	4.8%
위	44	3.2%
Other values (5)	134	9.8%

Common

Value	Count	Frequency (%)
0	38587	41.2%
5	11768	12.6%
2	9431	10.1%
1	9028	9.6%
9	7524	8.0%
3	3688	3.9%
4	3679	3.9%
7	3315	3.5%
8	3308	3.5%
6	3282	3.5%
Other values (3)	68	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	93678	98.6%
Hangul	1362	1.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	38587	41.2%
5	11768	12.6%
2	9431	10.1%
1	9028	9.6%
9	7524	8.0%
3	3688	3.9%
4	3679	3.9%
7	3315	3.5%
8	3308	3.5%
6	3282	3.5%
Other values (3)	68	0.1%

Hangul

Value	Count	Frequency (%)
용	260	19.1%
미	194	14.2%
박	149	10.9%
숙	149	10.9%
욕	113	8.3%
목	113	8.3%
탁	70	5.1%
세	70	5.1%
이	66	4.8%
위	44	3.2%
Other values (5)	134	9.8%

업종명
Categorical

IMBALANCE

Distinct	34
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	69.9 KiB

일반음식점	5847
식품제조가공업	449
즉석판매제조가공업	407
단란주점	377
휴게음식점	356
Other values (29)	1501

Length

Max length	16
Median length	5
Mean length	5.4709634
Min length	3

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	일반음식점
2nd row	일반음식점
3rd row	일반음식점
4th row	일반음식점
5th row	일반음식점

Common Values

Value	Count	Frequency (%)
일반음식점	5847	65.4%
식품제조가공업	449	5.0%
즉석판매제조가공업	407	4.6%
단란주점	377	4.2%
휴게음식점	356	4.0%
건강기능식품일반판매업	183	2.0%
숙박업(일반)	149	1.7%
일반미용업	126	1.4%
목욕장업	118	1.3%
제과점영업	109	1.2%
Other values (24)	816	9.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
일반음식점	5847	64.7%
식품제조가공업	449	5.0%
즉석판매제조가공업	407	4.5%
단란주점	377	4.2%
휴게음식점	356	3.9%
건강기능식품일반판매업	183	2.0%
숙박업(일반	149	1.6%
일반미용업	131	1.4%
목욕장업	118	1.3%
제과점영업	109	1.2%
Other values (22)	909	10.1%

업태명
Text

Distinct	77
Distinct (%)	0.9%
Missing	4
Missing (%)	< 0.1%
Memory size	69.9 KiB

Length

Max length	15
Median length	14
Mean length	4.3998657
Min length	2

Characters and Unicode

Total characters	39304
Distinct characters	158
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	0.1%

Sample

1st row	탕류(보신용)
2nd row	한식
3rd row	정종/대포집/소주방
4th row	호프/통닭
5th row	분식

Value	Count	Frequency (%)
한식	2022	22.3%
호프/통닭	972	10.7%
기타	686	7.6%
식품제조가공업	449	4.9%
즉석판매제조가공업	407	4.5%
단란주점	377	4.2%
정종/대포집/소주방	367	4.0%
통닭(치킨	356	3.9%
까페	344	3.8%
경양식	267	2.9%
Other values (67)	2837	31.2%

Most occurring characters

Value	Count	Frequency (%)
식	3724	9.5%
업	2252	5.7%
한	2024	5.1%
/	1706	4.3%
통	1430	3.6%
닭	1328	3.4%
호	981	2.5%
프	972	2.5%
제	971	2.5%
공	967	2.5%
Other values (148)	22949	58.4%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	36217	92.1%
Other Punctuation	1722	4.4%
Close Punctuation	583	1.5%
Open Punctuation	583	1.5%
Space Separator	151	0.4%
Math Symbol	48	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
식	3724	10.3%
업	2252	6.2%
한	2024	5.6%
통	1430	3.9%
닭	1328	3.7%
호	981	2.7%
프	972	2.7%
제	971	2.7%
공	967	2.7%
조	947	2.6%
Other values (141)	20621	56.9%

Other Punctuation

Value	Count	Frequency (%)
/	1706	99.1%
,	10	0.6%
.	6	0.3%

Close Punctuation

Value	Count	Frequency (%)
)	583	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	583	100.0%

Space Separator

Value	Count	Frequency (%)
	151	100.0%

Math Symbol

Value	Count	Frequency (%)
+	48	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	36217	92.1%
Common	3087	7.9%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
식	3724	10.3%
업	2252	6.2%
한	2024	5.6%
통	1430	3.9%
닭	1328	3.7%
호	981	2.7%
프	972	2.7%
제	971	2.7%
공	967	2.7%
조	947	2.6%
Other values (141)	20621	56.9%

Common

Value	Count	Frequency (%)
/	1706	55.3%
)	583	18.9%
(	583	18.9%
	151	4.9%
+	48	1.6%
,	10	0.3%
.	6	0.2%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	36217	92.1%
ASCII	3087	7.9%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
식	3724	10.3%
업	2252	6.2%
한	2024	5.6%
통	1430	3.9%
닭	1328	3.7%
호	981	2.7%
프	972	2.7%
제	971	2.7%
공	967	2.7%
조	947	2.6%
Other values (141)	20621	56.9%

ASCII

Value	Count	Frequency (%)
/	1706	55.3%
)	583	18.9%
(	583	18.9%
	151	4.9%
+	48	1.6%
,	10	0.3%
.	6	0.2%

업소명
Text

Distinct	4628
Distinct (%)	51.8%
Missing	0
Missing (%)	0.0%
Memory size	69.9 KiB

Length

Max length	45
Median length	30
Mean length	5.3445228
Min length	1

Characters and Unicode

Total characters	47764
Distinct characters	970
Distinct categories	13 ?
Distinct scripts	5 ?
Distinct blocks	7 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2827 ?
Unique (%)	31.6%

Sample

1st row	소머리국밥집
2nd row	큰대쪽갈비
3rd row	펍피맥
4th row	호우양꼬치
5th row	한갈비탕

Value	Count	Frequency (%)
성일식품	90	0.9%
국제유통	48	0.5%
주식회사	31	0.3%
성신여대점	28	0.3%
성신실내포차	26	0.3%
소문난만두	25	0.3%
대우푸르지오함바	25	0.3%
쌍둥이식당	25	0.3%
파티	20	0.2%
태양유통	20	0.2%
Other values (4981)	9566	96.6%

Most occurring characters

Value	Count	Frequency (%)
이	1025	2.1%
	967	2.0%
)	808	1.7%
(	807	1.7%
식	807	1.7%
리	759	1.6%
스	744	1.6%
점	639	1.3%
주	600	1.3%
성	530	1.1%
Other values (960)	40078	83.9%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	42052	88.0%
Lowercase Letter	1334	2.8%
Uppercase Letter	997	2.1%
Space Separator	967	2.0%
Close Punctuation	810	1.7%
Open Punctuation	809	1.7%
Decimal Number	565	1.2%
Other Punctuation	198	0.4%
Dash Punctuation	16	< 0.1%
Math Symbol	6	< 0.1%
Other values (3)	10	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
이	1025	2.4%
식	807	1.9%
리	759	1.8%
스	744	1.8%
점	639	1.5%
주	600	1.4%
성	530	1.3%
마	527	1.3%
대	520	1.2%
아	450	1.1%
Other values (877)	35451	84.3%

Uppercase Letter

Value	Count	Frequency (%)
O	86	8.6%
A	85	8.5%
S	76	7.6%
B	76	7.6%
E	56	5.6%
C	56	5.6%
N	56	5.6%
L	53	5.3%
K	44	4.4%
M	43	4.3%
Other values (16)	366	36.7%

Lowercase Letter

Value	Count	Frequency (%)
e	173	13.0%
a	165	12.4%
o	123	9.2%
n	80	6.0%
i	79	5.9%
s	73	5.5%
r	70	5.2%
l	63	4.7%
c	50	3.7%
p	48	3.6%
Other values (15)	410	30.7%

Other Punctuation

Value	Count	Frequency (%)
&	50	25.3%
.	42	21.2%
'	35	17.7%
,	29	14.6%
？	11	5.6%
;	10	5.1%
/	5	2.5%
?	5	2.5%
!	4	2.0%
＆	4	2.0%
Other values (2)	3	1.5%

Decimal Number

Value	Count	Frequency (%)
0	169	29.9%
8	82	14.5%
2	76	13.5%
7	67	11.9%
1	40	7.1%
9	39	6.9%
5	27	4.8%
3	27	4.8%
4	24	4.2%
6	14	2.5%

Close Punctuation

Value	Count	Frequency (%)
)	808	99.8%
]	2	0.2%

Open Punctuation

Value	Count	Frequency (%)
(	807	99.8%
[	2	0.2%

Space Separator

Value	Count	Frequency (%)
	967	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	16	100.0%

Math Symbol

Value	Count	Frequency (%)
~	6	100.0%

Letter Number

Value	Count	Frequency (%)
Ⅱ	4	100.0%

Other Number

Value	Count	Frequency (%)
₁	4	100.0%

Modifier Symbol

Value	Count	Frequency (%)
`	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	42006	87.9%
Common	3377	7.1%
Latin	2335	4.9%
Han	42	0.1%
Hiragana	4	< 0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
이	1025	2.4%
식	807	1.9%
리	759	1.8%
스	744	1.8%
점	639	1.5%
주	600	1.4%
성	530	1.3%
마	527	1.3%
대	520	1.2%
아	450	1.1%
Other values (840)	35405	84.3%

Latin

Value	Count	Frequency (%)
e	173	7.4%
a	165	7.1%
o	123	5.3%
O	86	3.7%
A	85	3.6%
n	80	3.4%
i	79	3.4%
S	76	3.3%
B	76	3.3%
s	73	3.1%
Other values (42)	1319	56.5%

Han

Value	Count	Frequency (%)
世	2	4.8%
烏	2	4.8%
休	2	4.8%
肉	2	4.8%
兎	2	4.8%
六	2	4.8%
合	2	4.8%
界	1	2.4%
山	1	2.4%
佑	1	2.4%
Other values (25)	25	59.5%

Common

Value	Count	Frequency (%)
	967	28.6%
)	808	23.9%
(	807	23.9%
0	169	5.0%
8	82	2.4%
2	76	2.3%
7	67	2.0%
&	50	1.5%
.	42	1.2%
1	40	1.2%
Other values (21)	269	8.0%

Hiragana

Value	Count	Frequency (%)
う	2	50.0%
と	2	50.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	42006	87.9%
ASCII	5689	11.9%
CJK	36	0.1%
None	19	< 0.1%
CJK Compat Ideographs	6	< 0.1%
Number Forms	4	< 0.1%
Hiragana	4	< 0.1%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
이	1025	2.4%
식	807	1.9%
리	759	1.8%
스	744	1.8%
점	639	1.5%
주	600	1.4%
성	530	1.3%
마	527	1.3%
대	520	1.2%
아	450	1.1%
Other values (840)	35405	84.3%

ASCII

Value	Count	Frequency (%)
	967	17.0%
)	808	14.2%
(	807	14.2%
e	173	3.0%
0	169	3.0%
a	165	2.9%
o	123	2.2%
O	86	1.5%
A	85	1.5%
8	82	1.4%
Other values (69)	2224	39.1%

None

Value	Count	Frequency (%)
？	11	57.9%
₁	4	21.1%
＆	4	21.1%

Number Forms

Value	Count	Frequency (%)
Ⅱ	4	100.0%

Hiragana

Value	Count	Frequency (%)
う	2	50.0%
と	2	50.0%

CJK

Value	Count	Frequency (%)
世	2	5.6%
烏	2	5.6%
休	2	5.6%
肉	2	5.6%
兎	2	5.6%
合	2	5.6%
界	1	2.8%
山	1	2.8%
佑	1	2.8%
家	1	2.8%
Other values (20)	20	55.6%

CJK Compat Ideographs

Value	Count	Frequency (%)
六	2	33.3%
李	1	16.7%
串	1	16.7%
零	1	16.7%
林	1	16.7%

소재지도로명
Text

MISSING

Distinct	2119
Distinct (%)	53.1%
Missing	4948
Missing (%)	55.4%
Memory size	69.9 KiB

Length

Max length	66
Median length	55
Mean length	31.039108
Min length	22

Characters and Unicode

Total characters	123815
Distinct characters	314
Distinct categories	11 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1245 ?
Unique (%)	31.2%

Sample

1st row	서울특별시 성북구 보문로 58-1, 한주빌딩 1층 (보문동7가)
2nd row	서울특별시 성북구 한천로78길 43, (석관동)
3rd row	서울특별시 성북구 동소문로20다길 11, (동선동1가)
4th row	서울특별시 성북구 동소문로 227, 65,66호 (길음동)
5th row	서울특별시 성북구 동소문로 227, 65,66호 (길음동)

Value	Count	Frequency (%)
서울특별시	3989	17.6%
성북구	3989	17.6%
1층	699	3.1%
장위동	399	1.8%
정릉동	331	1.5%
하월곡동	324	1.4%
동선동1가	276	1.2%
길음동	275	1.2%
석관동	250	1.1%
동소문로	243	1.1%
Other values (1690)	11954	52.6%

Most occurring characters

Value	Count	Frequency (%)
	18746	15.1%
동	5722	4.6%
,	5462	4.4%
1	5372	4.3%
북	4403	3.6%
성	4387	3.5%
)	4334	3.5%
(	4334	3.5%
서	4045	3.3%
시	4016	3.2%
Other values (304)	62994	50.9%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	70762	57.2%
Decimal Number	19144	15.5%
Space Separator	18746	15.1%
Other Punctuation	5492	4.4%
Close Punctuation	4334	3.5%
Open Punctuation	4334	3.5%
Dash Punctuation	760	0.6%
Uppercase Letter	149	0.1%
Lowercase Letter	62	0.1%
Math Symbol	26	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
동	5722	8.1%
북	4403	6.2%
성	4387	6.2%
서	4045	5.7%
시	4016	5.7%
구	4003	5.7%
울	3990	5.6%
별	3989	5.6%
특	3989	5.6%
로	3967	5.6%
Other values (255)	28251	39.9%

Uppercase Letter

Value	Count	Frequency (%)
B	88	59.1%
A	17	11.4%
S	10	6.7%
V	7	4.7%
K	6	4.0%
L	4	2.7%
T	3	2.0%
I	3	2.0%
E	3	2.0%
W	3	2.0%
Other values (5)	5	3.4%

Lowercase Letter

Value	Count	Frequency (%)
w	18	29.0%
r	10	16.1%
k	7	11.3%
e	5	8.1%
o	5	8.1%
u	4	6.5%
b	3	4.8%
a	2	3.2%
m	2	3.2%
y	1	1.6%
Other values (5)	5	8.1%

Decimal Number

Value	Count	Frequency (%)
1	5372	28.1%
2	3347	17.5%
3	1820	9.5%
5	1636	8.5%
4	1546	8.1%
0	1447	7.6%
6	1159	6.1%
7	1071	5.6%
8	917	4.8%
9	829	4.3%

Other Punctuation

Value	Count	Frequency (%)
,	5462	99.5%
.	18	0.3%
@	12	0.2%

Space Separator

Value	Count	Frequency (%)
	18746	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	4334	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	4334	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	760	100.0%

Math Symbol

Value	Count	Frequency (%)
~	26	100.0%

Other Symbol

Value	Count	Frequency (%)
㎡	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	70762	57.2%
Common	52842	42.7%
Latin	211	0.2%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
동	5722	8.1%
북	4403	6.2%
성	4387	6.2%
서	4045	5.7%
시	4016	5.7%
구	4003	5.7%
울	3990	5.6%
별	3989	5.6%
특	3989	5.6%
로	3967	5.6%
Other values (255)	28251	39.9%

Latin

Value	Count	Frequency (%)
B	88	41.7%
w	18	8.5%
A	17	8.1%
S	10	4.7%
r	10	4.7%
k	7	3.3%
V	7	3.3%
K	6	2.8%
e	5	2.4%
o	5	2.4%
Other values (20)	38	18.0%

Common

Value	Count	Frequency (%)
	18746	35.5%
,	5462	10.3%
1	5372	10.2%
)	4334	8.2%
(	4334	8.2%
2	3347	6.3%
3	1820	3.4%
5	1636	3.1%
4	1546	2.9%
0	1447	2.7%
Other values (9)	4798	9.1%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	70762	57.2%
ASCII	53047	42.8%
CJK Compat	6	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	18746	35.3%
,	5462	10.3%
1	5372	10.1%
)	4334	8.2%
(	4334	8.2%
2	3347	6.3%
3	1820	3.4%
5	1636	3.1%
4	1546	2.9%
0	1447	2.7%
Other values (38)	5003	9.4%

Hangul

Value	Count	Frequency (%)
동	5722	8.1%
북	4403	6.2%
성	4387	6.2%
서	4045	5.7%
시	4016	5.7%
구	4003	5.7%
울	3990	5.6%
별	3989	5.6%
특	3989	5.6%
로	3967	5.6%
Other values (255)	28251	39.9%

CJK Compat

Value	Count	Frequency (%)
㎡	6	100.0%

소재지지번
Text

Distinct	3887
Distinct (%)	43.5%
Missing	4
Missing (%)	< 0.1%
Memory size	69.9 KiB

Length

Max length	80
Median length	62
Mean length	27.961827
Min length	21

Characters and Unicode

Total characters	249783
Distinct characters	343
Distinct categories	11 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2049 ?
Unique (%)	22.9%

Sample

1st row	서울특별시 성북구 석관동 132번지 44호
2nd row	서울특별시 성북구 보문동7가 22번지 5호 한주빌딩
3rd row	서울특별시 성북구 석관동 127번지 73호
4th row	서울특별시 성북구 동선동1가 3번지 6호
5th row	서울특별시 성북구 길음동 535번지 8호 길음시장-65,66

Value	Count	Frequency (%)
서울특별시	8933	18.9%
성북구	8933	18.9%
장위동	1118	2.4%
정릉동	978	2.1%
하월곡동	907	1.9%
1호	841	1.8%
길음동	813	1.7%
동선동1가	747	1.6%
석관동	740	1.6%
종암동	676	1.4%
Other values (1952)	22484	47.7%

Most occurring characters

Value	Count	Frequency (%)
	61925	24.8%
1	10911	4.4%
동	10825	4.3%
지	10069	4.0%
성	9324	3.7%
북	9266	3.7%
시	8971	3.6%
번	8963	3.6%
서	8956	3.6%
구	8948	3.6%
Other values (333)	101625	40.7%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	140404	56.2%
Space Separator	61925	24.8%
Decimal Number	44279	17.7%
Open Punctuation	763	0.3%
Close Punctuation	763	0.3%
Other Punctuation	606	0.2%
Dash Punctuation	524	0.2%
Lowercase Letter	299	0.1%
Uppercase Letter	194	0.1%
Math Symbol	23	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
동	10825	7.7%
지	10069	7.2%
성	9324	6.6%
북	9266	6.6%
시	8971	6.4%
번	8963	6.4%
서	8956	6.4%
구	8948	6.4%
특	8934	6.4%
울	8934	6.4%
Other values (271)	47214	33.6%

Lowercase Letter

Value	Count	Frequency (%)
w	78	26.1%
e	25	8.4%
o	24	8.0%
r	23	7.7%
k	16	5.4%
c	15	5.0%
l	14	4.7%
m	14	4.7%
n	14	4.7%
a	13	4.3%
Other values (12)	63	21.1%

Uppercase Letter

Value	Count	Frequency (%)
B	75	38.7%
A	34	17.5%
S	18	9.3%
K	9	4.6%
T	9	4.6%
V	8	4.1%
L	7	3.6%
C	6	3.1%
G	6	3.1%
P	6	3.1%
Other values (8)	16	8.2%

Decimal Number

Value	Count	Frequency (%)
1	10911	24.6%
2	6777	15.3%
3	5032	11.4%
5	3888	8.8%
4	3714	8.4%
0	3578	8.1%
6	2791	6.3%
8	2737	6.2%
7	2709	6.1%
9	2142	4.8%

Other Punctuation

Value	Count	Frequency (%)
,	532	87.8%
.	65	10.7%
/	7	1.2%
@	2	0.3%

Math Symbol

Value	Count	Frequency (%)
~	21	91.3%
<	1	4.3%
>	1	4.3%

Space Separator

Value	Count	Frequency (%)
	61925	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	763	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	763	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	524	100.0%

Other Symbol

Value	Count	Frequency (%)
㎡	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	140404	56.2%
Common	108886	43.6%
Latin	493	0.2%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
동	10825	7.7%
지	10069	7.2%
성	9324	6.6%
북	9266	6.6%
시	8971	6.4%
번	8963	6.4%
서	8956	6.4%
구	8948	6.4%
특	8934	6.4%
울	8934	6.4%
Other values (271)	47214	33.6%

Latin

Value	Count	Frequency (%)
w	78	15.8%
B	75	15.2%
A	34	6.9%
e	25	5.1%
o	24	4.9%
r	23	4.7%
S	18	3.7%
k	16	3.2%
c	15	3.0%
l	14	2.8%
Other values (30)	171	34.7%

Common

Value	Count	Frequency (%)
	61925	56.9%
1	10911	10.0%
2	6777	6.2%
3	5032	4.6%
5	3888	3.6%
4	3714	3.4%
0	3578	3.3%
6	2791	2.6%
8	2737	2.5%
7	2709	2.5%
Other values (12)	4824	4.4%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	140404	56.2%
ASCII	109376	43.8%
CJK Compat	3	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	61925	56.6%
1	10911	10.0%
2	6777	6.2%
3	5032	4.6%
5	3888	3.6%
4	3714	3.4%
0	3578	3.3%
6	2791	2.6%
8	2737	2.5%
7	2709	2.5%
Other values (51)	5314	4.9%

Hangul

Value	Count	Frequency (%)
동	10825	7.7%
지	10069	7.2%
성	9324	6.6%
북	9266	6.6%
시	8971	6.4%
번	8963	6.4%
서	8956	6.4%
구	8948	6.4%
특	8934	6.4%
울	8934	6.4%
Other values (271)	47214	33.6%

CJK Compat

Value	Count	Frequency (%)
㎡	3	100.0%

지도점검일자
Real number (ℝ)

HIGH CORRELATION SKEWED

Distinct	3159
Distinct (%)	35.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20118039

Minimum	1110421
Maximum	20240313
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.7 KiB

Quantile statistics

Minimum	1110421
5-th percentile	20030318
Q1	20070709
median	20110407
Q3	20170808
95-th percentile	20231016
Maximum	20240313
Range	19129892
Interquartile range (IQR)	100099

Descriptive statistics

Standard deviation	211158.4
Coefficient of variation (CV)	0.010495973
Kurtosis	7349.3591
Mean	20118039
Median Absolute Deviation (MAD)	50003
Skewness	-81.631014
Sum	1.7979492 × 10¹¹
Variance	4.4587872 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20231110	85	1.0%
20071031	84	0.9%
20230527	75	0.8%
20231204	74	0.8%
20140101	68	0.8%
20230605	67	0.7%
20200423	66	0.7%
20230608	54	0.6%
20080227	49	0.5%
20080220	45	0.5%
Other values (3149)	8270	92.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1110421	1	< 0.1%
20000925	4	< 0.1%
20001109	1	< 0.1%
20001120	4	< 0.1%
20001201	2	< 0.1%
20001206	1	< 0.1%
20010119	1	< 0.1%
20010130	2	< 0.1%
20010204	1	< 0.1%
20010210	1	< 0.1%

Value	Count	Frequency (%)
20240313	1	< 0.1%
20240207	3	< 0.1%
20240131	4	< 0.1%
20240130	2	< 0.1%
20240126	1	< 0.1%
20240115	1	< 0.1%
20240112	2	< 0.1%
20240104	1	< 0.1%
20231230	1	< 0.1%
20231228	1	< 0.1%

행정처분상태
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	69.9 KiB

처분확정	8937

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	처분확정
2nd row	처분확정
3rd row	처분확정
4th row	처분확정
5th row	처분확정

Common Values

Value	Count	Frequency (%)
처분확정	8937	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
처분확정	8937	100.0%

처분명
Text

Distinct	684
Distinct (%)	7.7%
Missing	0
Missing (%)	0.0%
Memory size	69.9 KiB

Length

Max length	80
Median length	69
Mean length	6.8277946
Min length	2

Characters and Unicode

Total characters	61020
Distinct characters	215
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	6 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	395 ?
Unique (%)	4.4%

Sample

1st row	영업소폐쇄
2nd row	과태료부과
3rd row	영업정지
4th row	과태료부과
5th row	과태료부과

Value	Count	Frequency (%)
과태료부과	2748	23.9%
시정명령	1223	10.6%
영업소폐쇄	1179	10.3%
영업정지	1149	10.0%
시설개수명령	338	2.9%
과태료	323	2.8%
부과	311	2.7%
과징금부과	297	2.6%
및	172	1.5%
경고	171	1.5%
Other values (739)	3578	31.1%

Most occurring characters

Value	Count	Frequency (%)
과	8111	13.3%
부	4093	6.7%
료	3571	5.9%
태	3559	5.8%
정	3064	5.0%
업	2915	4.8%
영	2886	4.7%
	2558	4.2%
시	2020	3.3%
명	1917	3.1%
Other values (205)	26326	43.1%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	50149	82.2%
Decimal Number	5828	9.6%
Space Separator	2558	4.2%
Other Punctuation	807	1.3%
Open Punctuation	786	1.3%
Close Punctuation	783	1.3%
Math Symbol	83	0.1%
Dash Punctuation	26	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
과	8111	16.2%
부	4093	8.2%
료	3571	7.1%
태	3559	7.1%
정	3064	6.1%
업	2915	5.8%
영	2886	5.8%
시	2020	4.0%
명	1917	3.8%
령	1916	3.8%
Other values (174)	16097	32.1%

Decimal Number

Value	Count	Frequency (%)
0	1858	31.9%
2	1131	19.4%
1	1082	18.6%
5	338	5.8%
3	328	5.6%
4	325	5.6%
6	301	5.2%
8	223	3.8%
7	159	2.7%
9	83	1.4%

Other Punctuation

Value	Count	Frequency (%)
.	551	68.3%
,	194	24.0%
%	34	4.2%
/	18	2.2%
:	5	0.6%
?	4	0.5%
*	1	0.1%

Math Symbol

Value	Count	Frequency (%)
~	59	71.1%
→	12	14.5%
×	5	6.0%
▷	3	3.6%
+	2	2.4%
=	2	2.4%

Open Punctuation

Value	Count	Frequency (%)
(	784	99.7%
[	1	0.1%
［	1	0.1%

Close Punctuation

Value	Count	Frequency (%)
)	781	99.7%
]	1	0.1%
］	1	0.1%

Space Separator

Value	Count	Frequency (%)
	2558	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	26	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	50149	82.2%
Common	10871	17.8%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
과	8111	16.2%
부	4093	8.2%
료	3571	7.1%
태	3559	7.1%
정	3064	6.1%
업	2915	5.8%
영	2886	5.8%
시	2020	4.0%
명	1917	3.8%
령	1916	3.8%
Other values (174)	16097	32.1%

Common

Value	Count	Frequency (%)
	2558	23.5%
0	1858	17.1%
2	1131	10.4%
1	1082	10.0%
(	784	7.2%
)	781	7.2%
.	551	5.1%
5	338	3.1%
3	328	3.0%
4	325	3.0%
Other values (21)	1135	10.4%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	50137	82.2%
ASCII	10849	17.8%
Arrows	12	< 0.1%
Compat Jamo	12	< 0.1%
None	7	< 0.1%
Geometric Shapes	3	< 0.1%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
과	8111	16.2%
부	4093	8.2%
료	3571	7.1%
태	3559	7.1%
정	3064	6.1%
업	2915	5.8%
영	2886	5.8%
시	2020	4.0%
명	1917	3.8%
령	1916	3.8%
Other values (173)	16085	32.1%

ASCII

Value	Count	Frequency (%)
	2558	23.6%
0	1858	17.1%
2	1131	10.4%
1	1082	10.0%
(	784	7.2%
)	781	7.2%
.	551	5.1%
5	338	3.1%
3	328	3.0%
4	325	3.0%
Other values (16)	1113	10.3%

Arrows

Value	Count	Frequency (%)
→	12	100.0%

Compat Jamo

Value	Count	Frequency (%)
ㆍ	12	100.0%

None

Value	Count	Frequency (%)
×	5	71.4%
［	1	14.3%
］	1	14.3%

Geometric Shapes

Value	Count	Frequency (%)
▷	3	100.0%

법적근거
Text

Distinct	940
Distinct (%)	10.5%
Missing	0
Missing (%)	0.0%
Memory size	69.9 KiB

Length

Max length	58
Median length	46
Mean length	13.17366
Min length	2

Characters and Unicode

Total characters	117733
Distinct characters	192
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	446 ?
Unique (%)	5.0%

Sample

1st row	식품위생법제22조제5항 및 동법제58조
2nd row	법 제82조제2항
3rd row	법 제75조
4th row	법 제101조제4항1호
5th row	법 제101조제4항1호

Value	Count	Frequency (%)
법	3870	17.5%
식품위생법	2975	13.4%
및	1462	6.6%
제75조	982	4.4%
제101조제4항1호	797	3.6%
제71조	708	3.2%
식품위생법제26조	545	2.5%
제101조제2항제1호	515	2.3%
공중위생관리법	357	1.6%
식품위생법제31조	333	1.5%
Other values (698)	9597	43.3%

Most occurring characters

Value	Count	Frequency (%)
제	15366	13.1%
	13225	11.2%
조	10955	9.3%
법	10514	8.9%
1	9266	7.9%
위	5931	5.0%
생	5871	5.0%
품	5527	4.7%
식	5520	4.7%
2	4934	4.2%
Other values (182)	30624	26.0%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	74067	62.9%
Decimal Number	29349	24.9%
Space Separator	13225	11.2%
Other Punctuation	769	0.7%
Close Punctuation	159	0.1%
Open Punctuation	156	0.1%
Dash Punctuation	8	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
제	15366	20.7%
조	10955	14.8%
법	10514	14.2%
위	5931	8.0%
생	5871	7.9%
품	5527	7.5%
식	5520	7.5%
항	4401	5.9%
호	1840	2.5%
및	1581	2.1%
Other values (161)	6561	8.9%

Decimal Number

Value	Count	Frequency (%)
1	9266	31.6%
2	4934	16.8%
7	3708	12.6%
3	2532	8.6%
4	2484	8.5%
0	2135	7.3%
5	2092	7.1%
6	1430	4.9%
8	567	1.9%
9	201	0.7%

Other Punctuation

Value	Count	Frequency (%)
,	756	98.3%
.	8	1.0%
:	2	0.3%
?	2	0.3%
/	1	0.1%

Close Punctuation

Value	Count	Frequency (%)
)	150	94.3%
]	9	5.7%

Open Punctuation

Value	Count	Frequency (%)
(	147	94.2%
[	9	5.8%

Space Separator

Value	Count	Frequency (%)
	13225	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	74067	62.9%
Common	43666	37.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
제	15366	20.7%
조	10955	14.8%
법	10514	14.2%
위	5931	8.0%
생	5871	7.9%
품	5527	7.5%
식	5520	7.5%
항	4401	5.9%
호	1840	2.5%
및	1581	2.1%
Other values (161)	6561	8.9%

Common

Value	Count	Frequency (%)
	13225	30.3%
1	9266	21.2%
2	4934	11.3%
7	3708	8.5%
3	2532	5.8%
4	2484	5.7%
0	2135	4.9%
5	2092	4.8%
6	1430	3.3%
,	756	1.7%
Other values (11)	1104	2.5%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	74065	62.9%
ASCII	43666	37.1%
Compat Jamo	2	< 0.1%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
제	15366	20.7%
조	10955	14.8%
법	10514	14.2%
위	5931	8.0%
생	5871	7.9%
품	5527	7.5%
식	5520	7.5%
항	4401	5.9%
호	1840	2.5%
및	1581	2.1%
Other values (159)	6559	8.9%

ASCII

Value	Count	Frequency (%)
	13225	30.3%
1	9266	21.2%
2	4934	11.3%
7	3708	8.5%
3	2532	5.8%
4	2484	5.7%
0	2135	4.9%
5	2092	4.8%
6	1430	3.3%
,	756	1.7%
Other values (11)	1104	2.5%

Compat Jamo

Value	Count	Frequency (%)
ㄹ	1	50.0%
ㅢ	1	50.0%

위반일자
Real number (ℝ)

HIGH CORRELATION SKEWED

Distinct	3207
Distinct (%)	35.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20114930

Minimum	2001112
Maximum	20240510
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.7 KiB

Quantile statistics

Minimum	2001112
5-th percentile	20030316
Q1	20070704
median	20110328
Q3	20170622
95-th percentile	20230527
Maximum	20240510
Range	18239398
Interquartile range (IQR)	99918

Descriptive statistics

Standard deviation	277977.94
Coefficient of variation (CV)	0.013819483
Kurtosis	4017.3243
Mean	20114930
Median Absolute Deviation (MAD)	49982
Skewness	-61.731702
Sum	1.7976713 × 10¹¹
Variance	7.7271736 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20220301	153	1.7%
20210401	149	1.7%
20071031	138	1.5%
20231110	85	1.0%
20200101	81	0.9%
20231204	73	0.8%
20230527	69	0.8%
20140101	68	0.8%
20230605	61	0.7%
20130101	56	0.6%
Other values (3197)	8004	89.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2001112	1	< 0.1%
2041123	1	< 0.1%
20000531	1	< 0.1%
20000925	4	< 0.1%
20001109	1	< 0.1%
20001201	2	< 0.1%
20010119	1	< 0.1%
20010130	2	< 0.1%
20010210	1	< 0.1%
20010222	1	< 0.1%

Value	Count	Frequency (%)
20240510	1	< 0.1%
20240305	1	< 0.1%
20240207	1	< 0.1%
20240131	4	< 0.1%
20240130	2	< 0.1%
20240118	2	< 0.1%
20240112	2	< 0.1%
20231230	1	< 0.1%
20231229	1	< 0.1%
20231224	1	< 0.1%

위반내용
Text

Distinct	3386
Distinct (%)	37.9%
Missing	7
Missing (%)	0.1%
Memory size	69.9 KiB

Length

Max length	383
Median length	210
Mean length	23.030011
Min length	1

Characters and Unicode

Total characters	205658
Distinct characters	768
Distinct categories	14 ?
Distinct scripts	3 ?
Distinct blocks	11 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2190 ?
Unique (%)	24.5%

Sample

1st row	폐업신고 미이행(시설물 멸실)
2nd row	재난배상책임보험을 기한(2024.3.5.)내에 가입하지 아니함(가입일 : 2024.3.6.)
3rd row	2023.12.30 20:42경 청소년에게 주류 판매
4th row	식품위생법 위반(2021년 위생교육 미수료)
5th row	식품위생법 위반(2021년 위생교육 미수료)

Value	Count	Frequency (%)
위생교육	1004	2.5%
미수료	761	1.9%
	618	1.5%
건강진단	590	1.5%
및	497	1.2%
기존영업자	494	1.2%
받지	446	1.1%
미	386	1.0%
미이수	367	0.9%
폐업신고	352	0.9%
Other values (6120)	34872	86.3%

Most occurring characters

Value	Count	Frequency (%)
	32557	15.8%
업	5684	2.8%
2	5064	2.5%
1	4581	2.2%
0	4545	2.2%
미	4403	2.1%
위	4099	2.0%
영	3718	1.8%
)	3579	1.7%
(	3570	1.7%
Other values (758)	133858	65.1%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	139710	67.9%
Space Separator	32557	15.8%
Decimal Number	18730	9.1%
Other Punctuation	6195	3.0%
Close Punctuation	3613	1.8%
Open Punctuation	3604	1.8%
Dash Punctuation	731	0.4%
Lowercase Letter	201	0.1%
Uppercase Letter	107	0.1%
Math Symbol	54	< 0.1%
Other values (4)	156	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
업	5684	4.1%
미	4403	3.2%
위	4099	2.9%
영	3718	2.7%
이	3140	2.2%
자	2706	1.9%
생	2598	1.9%
년	2341	1.7%
시	2322	1.7%
기	2188	1.6%
Other values (667)	106511	76.2%

Lowercase Letter

Value	Count	Frequency (%)
g	56	27.9%
m	25	12.4%
l	15	7.5%
k	13	6.5%
a	11	5.5%
c	11	5.5%
o	9	4.5%
r	9	4.5%
e	7	3.5%
n	6	3.0%
Other values (12)	39	19.4%

Uppercase Letter

Value	Count	Frequency (%)
O	18	16.8%
G	15	14.0%
L	7	6.5%
C	7	6.5%
A	6	5.6%
E	6	5.6%
J	5	4.7%
B	5	4.7%
T	5	4.7%
D	5	4.7%
Other values (9)	28	26.2%

Other Punctuation

Value	Count	Frequency (%)
.	3516	56.8%
,	958	15.5%
:	681	11.0%
*	527	8.5%
/	421	6.8%
%	35	0.6%
?	25	0.4%
？	11	0.2%
※	9	0.1%
;	7	0.1%
Other values (3)	5	0.1%

Decimal Number

Value	Count	Frequency (%)
2	5064	27.0%
1	4581	24.5%
0	4545	24.3%
6	877	4.7%
3	844	4.5%
5	620	3.3%
4	613	3.3%
7	583	3.1%
9	508	2.7%
8	495	2.6%

Other Symbol

Value	Count	Frequency (%)
○	10	20.0%
㈀	7	14.0%
㈁	7	14.0%
㈂	7	14.0%
▶	6	12.0%
㎡	6	12.0%
●	3	6.0%
℃	3	6.0%
☞	1	2.0%

Close Punctuation

Value	Count	Frequency (%)
)	3579	99.1%
]	30	0.8%
」	4	0.1%

Open Punctuation

Value	Count	Frequency (%)
(	3570	99.1%
[	30	0.8%
「	4	0.1%

Math Symbol

Value	Count	Frequency (%)
~	46	85.2%
+	6	11.1%
→	2	3.7%

Other Number

Value	Count	Frequency (%)
②	19	50.0%
①	15	39.5%
③	4	10.5%

Initial Punctuation

Value	Count	Frequency (%)
‘	19	55.9%
“	15	44.1%

Final Punctuation

Value	Count	Frequency (%)
’	19	55.9%
”	15	44.1%

Space Separator

Value	Count	Frequency (%)
	32557	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	731	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	139731	67.9%
Common	65619	31.9%
Latin	308	0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
업	5684	4.1%
미	4403	3.2%
위	4099	2.9%
영	3718	2.7%
이	3140	2.2%
자	2706	1.9%
생	2598	1.9%
년	2341	1.7%
시	2322	1.7%
기	2188	1.6%
Other values (670)	106532	76.2%

Common

Value	Count	Frequency (%)
	32557	49.6%
2	5064	7.7%
1	4581	7.0%
0	4545	6.9%
)	3579	5.5%
(	3570	5.4%
.	3516	5.4%
,	958	1.5%
6	877	1.3%
3	844	1.3%
Other values (37)	5528	8.4%

Latin

Value	Count	Frequency (%)
g	56	18.2%
m	25	8.1%
O	18	5.8%
l	15	4.9%
G	15	4.9%
k	13	4.2%
a	11	3.6%
c	11	3.6%
o	9	2.9%
r	9	2.9%
Other values (31)	126	40.9%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	139688	67.9%
ASCII	65761	32.0%
Punctuation	77	< 0.1%
None	41	< 0.1%
Enclosed Alphanum	38	< 0.1%
Compat Jamo	22	< 0.1%
Geometric Shapes	19	< 0.1%
CJK Compat	6	< 0.1%
Letterlike Symbols	3	< 0.1%
Arrows	2	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	32557	49.5%
2	5064	7.7%
1	4581	7.0%
0	4545	6.9%
)	3579	5.4%
(	3570	5.4%
.	3516	5.3%
,	958	1.5%
6	877	1.3%
3	844	1.3%
Other values (59)	5670	8.6%

Hangul

Value	Count	Frequency (%)
업	5684	4.1%
미	4403	3.2%
위	4099	2.9%
영	3718	2.7%
이	3140	2.2%
자	2706	1.9%
생	2598	1.9%
년	2341	1.7%
시	2322	1.7%
기	2188	1.6%
Other values (660)	106489	76.2%

Enclosed Alphanum

Value	Count	Frequency (%)
②	19	50.0%
①	15	39.5%
③	4	10.5%

Punctuation

Value	Count	Frequency (%)
‘	19	24.7%
’	19	24.7%
“	15	19.5%
”	15	19.5%
※	9	11.7%

None

Value	Count	Frequency (%)
？	11	26.8%
㈀	7	17.1%
㈁	7	17.1%
㈂	7	17.1%
「	4	9.8%
」	4	9.8%
．	1	2.4%

Geometric Shapes

Value	Count	Frequency (%)
○	10	52.6%
▶	6	31.6%
●	3	15.8%

Compat Jamo

Value	Count	Frequency (%)
ㆍ	7	31.8%
ㅇ	6	27.3%
ㄹ	2	9.1%
ㄷ	2	9.1%
ㄴ	2	9.1%
ㄱ	2	9.1%
ㅢ	1	4.5%

CJK Compat

Value	Count	Frequency (%)
㎡	6	100.0%

Letterlike Symbols

Value	Count	Frequency (%)
℃	3	100.0%

Arrows

Value	Count	Frequency (%)
→	2	100.0%

Misc Symbols

Value	Count	Frequency (%)
☞	1	100.0%

처분내용
Text

Distinct	684
Distinct (%)	7.7%
Missing	0
Missing (%)	0.0%
Memory size	69.9 KiB

Length

Max length	80
Median length	69
Mean length	6.8277946
Min length	2

Characters and Unicode

Total characters	61020
Distinct characters	215
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	6 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	395 ?
Unique (%)	4.4%

Sample

1st row	영업소폐쇄
2nd row	과태료부과
3rd row	영업정지
4th row	과태료부과
5th row	과태료부과

Value	Count	Frequency (%)
과태료부과	2748	23.9%
시정명령	1223	10.6%
영업소폐쇄	1179	10.3%
영업정지	1149	10.0%
시설개수명령	338	2.9%
과태료	323	2.8%
부과	311	2.7%
과징금부과	297	2.6%
및	172	1.5%
경고	171	1.5%
Other values (739)	3578	31.1%

Most occurring characters

Value	Count	Frequency (%)
과	8111	13.3%
부	4093	6.7%
료	3571	5.9%
태	3559	5.8%
정	3064	5.0%
업	2915	4.8%
영	2886	4.7%
	2558	4.2%
시	2020	3.3%
명	1917	3.1%
Other values (205)	26326	43.1%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	50149	82.2%
Decimal Number	5828	9.6%
Space Separator	2558	4.2%
Other Punctuation	807	1.3%
Open Punctuation	786	1.3%
Close Punctuation	783	1.3%
Math Symbol	83	0.1%
Dash Punctuation	26	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
과	8111	16.2%
부	4093	8.2%
료	3571	7.1%
태	3559	7.1%
정	3064	6.1%
업	2915	5.8%
영	2886	5.8%
시	2020	4.0%
명	1917	3.8%
령	1916	3.8%
Other values (174)	16097	32.1%

Decimal Number

Value	Count	Frequency (%)
0	1858	31.9%
2	1131	19.4%
1	1082	18.6%
5	338	5.8%
3	328	5.6%
4	325	5.6%
6	301	5.2%
8	223	3.8%
7	159	2.7%
9	83	1.4%

Other Punctuation

Value	Count	Frequency (%)
.	551	68.3%
,	194	24.0%
%	34	4.2%
/	18	2.2%
:	5	0.6%
?	4	0.5%
*	1	0.1%

Math Symbol

Value	Count	Frequency (%)
~	59	71.1%
→	12	14.5%
×	5	6.0%
▷	3	3.6%
+	2	2.4%
=	2	2.4%

Open Punctuation

Value	Count	Frequency (%)
(	784	99.7%
[	1	0.1%
［	1	0.1%

Close Punctuation

Value	Count	Frequency (%)
)	781	99.7%
]	1	0.1%
］	1	0.1%

Space Separator

Value	Count	Frequency (%)
	2558	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	26	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	50149	82.2%
Common	10871	17.8%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
과	8111	16.2%
부	4093	8.2%
료	3571	7.1%
태	3559	7.1%
정	3064	6.1%
업	2915	5.8%
영	2886	5.8%
시	2020	4.0%
명	1917	3.8%
령	1916	3.8%
Other values (174)	16097	32.1%

Common

Value	Count	Frequency (%)
	2558	23.5%
0	1858	17.1%
2	1131	10.4%
1	1082	10.0%
(	784	7.2%
)	781	7.2%
.	551	5.1%
5	338	3.1%
3	328	3.0%
4	325	3.0%
Other values (21)	1135	10.4%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	50137	82.2%
ASCII	10849	17.8%
Arrows	12	< 0.1%
Compat Jamo	12	< 0.1%
None	7	< 0.1%
Geometric Shapes	3	< 0.1%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
과	8111	16.2%
부	4093	8.2%
료	3571	7.1%
태	3559	7.1%
정	3064	6.1%
업	2915	5.8%
영	2886	5.8%
시	2020	4.0%
명	1917	3.8%
령	1916	3.8%
Other values (173)	16085	32.1%

ASCII

Value	Count	Frequency (%)
	2558	23.6%
0	1858	17.1%
2	1131	10.4%
1	1082	10.0%
(	784	7.2%
)	781	7.2%
.	551	5.1%
5	338	3.1%
3	328	3.0%
4	325	3.0%
Other values (16)	1113	10.3%

Arrows

Value	Count	Frequency (%)
→	12	100.0%

Compat Jamo

Value	Count	Frequency (%)
ㆍ	12	100.0%

None

Value	Count	Frequency (%)
×	5	71.4%
［	1	14.3%
］	1	14.3%

Geometric Shapes

Value	Count	Frequency (%)
▷	3	100.0%

처분기간
Real number (ℝ)

MISSING

Distinct	25
Distinct (%)	3.5%
Missing	8225
Missing (%)	92.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.019663

Minimum	0
Maximum	30
Zeros	24
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	78.7 KiB

Quantile statistics

Minimum	0
5-th percentile	4
Q1	7
median	15
Q3	15
95-th percentile	20
Maximum	30
Range	30
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	5.3808177
Coefficient of variation (CV)	0.44766794
Kurtosis	0.22378651
Mean	12.019663
Median Absolute Deviation (MAD)	3.5
Skewness	0.020421254
Sum	8558
Variance	28.953199
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
15	325	3.6%
7	164	1.8%
10	48	0.5%
5	26	0.3%
17	25	0.3%
20	25	0.3%
0	24	0.3%
8	12	0.1%
4	10	0.1%
23	7	0.1%
Other values (15)	46	0.5%
(Missing)	8225	92.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	24	0.3%
1	2	< 0.1%
2	1	< 0.1%
3	5	0.1%
4	10	0.1%
5	26	0.3%
6	6	0.1%
7	164	1.8%
8	12	0.1%
9	5	0.1%

Value	Count	Frequency (%)
30	5	0.1%
29	1	< 0.1%
28	1	< 0.1%
27	2	< 0.1%
25	1	< 0.1%
23	7	0.1%
22	6	0.1%
20	25	0.3%
19	4	< 0.1%
18	4	< 0.1%

영업장면적(㎡)
Real number (ℝ)

MISSING

Distinct	1091
Distinct (%)	33.5%
Missing	5678
Missing (%)	63.5%
Infinite	0
Infinite (%)	0.0%
Mean	156.72678

Minimum	0
Maximum	5213.41
Zeros	10
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	78.7 KiB

Quantile statistics

Minimum	0
5-th percentile	14.995
Q1	29.7
median	59.41
Q3	111.69
95-th percentile	452
Maximum	5213.41
Range	5213.41
Interquartile range (IQR)	81.99

Descriptive statistics

Standard deviation	484.82375
Coefficient of variation (CV)	3.0934326
Kurtosis	83.112767
Mean	156.72678
Median Absolute Deviation (MAD)	34.76
Skewness	8.6528083
Sum	510772.59
Variance	235054.07
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
26.4	83	0.9%
23.1	75	0.8%
33.0	66	0.7%
19.8	65	0.7%
82.5	49	0.5%
16.5	47	0.5%
49.5	43	0.5%
66.0	42	0.5%
59.4	41	0.5%
13.2	38	0.4%
Other values (1081)	2710	30.3%
(Missing)	5678	63.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	10	0.1%
3.6	1	< 0.1%
4.95	6	0.1%
5.0	1	< 0.1%
5.69	1	< 0.1%
6.0	3	< 0.1%
6.6	9	0.1%
7.0	6	0.1%
7.36	1	< 0.1%
8.25	3	< 0.1%

Value	Count	Frequency (%)
5213.41	18	0.2%
4978.0	6	0.1%
3300.0	3	< 0.1%
2251.29	2	< 0.1%
2062.08	1	< 0.1%
1980.0	2	< 0.1%
1822.39	1	< 0.1%
1621.92	2	< 0.1%
1563.9	1	< 0.1%
1490.18	2	< 0.1%

Phik (φk)
Auto

Heatmap
Table

	처분일자	업종명	업태명	지도점검일자	위반일자	처분기간	영업장면적(㎡)
처분일자	1.000	0.374	0.498	NaN	0.000	0.380	0.068
업종명	0.374	1.000	0.998	NaN	0.000	0.623	0.565
업태명	0.498	0.998	1.000	NaN	0.000	0.679	0.839
지도점검일자	NaN	NaN	NaN	1.000	NaN	NaN	NaN
위반일자	0.000	0.000	0.000	NaN	1.000	NaN	NaN
처분기간	0.380	0.623	0.679	NaN	NaN	1.000	0.516
영업장면적(㎡)	0.068	0.565	0.839	NaN	NaN	0.516	1.000

Heatmap
Table

	처분일자	지도점검일자	위반일자	처분기간	영업장면적(㎡)	업종명
처분일자	1.000	0.999	0.995	0.012	-0.068	0.200
지도점검일자	0.999	1.000	0.996	0.004	-0.069	0.000
위반일자	0.995	0.996	1.000	0.006	-0.065	0.000
처분기간	0.012	0.004	0.006	1.000	-0.083	0.321
영업장면적(㎡)	-0.068	-0.069	-0.065	-0.083	1.000	0.275
업종명	0.200	0.000	0.000	0.321	0.275	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	시군구코드	처분일자	교부번호	업종명	업태명	업소명	소재지도로명	소재지지번	지도점검일자	행정처분상태	처분명	법적근거	위반일자	위반내용	처분내용	처분기간	영업장면적(㎡)
0	3070000	20800317	20040051251	일반음식점	탕류(보신용)	소머리국밥집	<NA>	서울특별시 성북구 석관동 132번지 44호	20080220	처분확정	영업소폐쇄	식품위생법제22조제5항 및 동법제58조	20071031	폐업신고 미이행(시설물 멸실)	영업소폐쇄	<NA>	37.95
1	3070000	20240404	20230067365	일반음식점	한식	큰대쪽갈비	서울특별시 성북구 보문로 58-1, 한주빌딩 1층 (보문동7가)	서울특별시 성북구 보문동7가 22번지 5호 한주빌딩	20240313	처분확정	과태료부과	법 제82조제2항	20240305	재난배상책임보험을 기한(2024.3.5.)내에 가입하지 아니함(가입일 : 2024.3.6.)	과태료부과	<NA>	<NA>
2	3070000	20240319	20020050596	일반음식점	정종/대포집/소주방	펍피맥	서울특별시 성북구 한천로78길 43, (석관동)	서울특별시 성북구 석관동 127번지 73호	20231230	처분확정	영업정지	법 제75조	20231230	2023.12.30 20:42경 청소년에게 주류 판매	영업정지	<NA>	<NA>
3	3070000	20240314	19950050925	일반음식점	호프/통닭	호우양꼬치	서울특별시 성북구 동소문로20다길 11, (동선동1가)	서울특별시 성북구 동선동1가 3번지 6호	20231127	처분확정	과태료부과	법 제101조제4항1호	20231127	식품위생법 위반(2021년 위생교육 미수료)	과태료부과	<NA>	<NA>
4	3070000	20240314	20030050506	일반음식점	분식	한갈비탕	서울특별시 성북구 동소문로 227, 65,66호 (길음동)	서울특별시 성북구 길음동 535번지 8호 길음시장-65,66	20231201	처분확정	과태료부과	법 제101조제4항1호	20231201	식품위생법 위반(2021년 위생교육 미수료)	과태료부과	<NA>	<NA>
5	3070000	20240314	20030050506	일반음식점	분식	한갈비탕	서울특별시 성북구 동소문로 227, 65,66호 (길음동)	서울특별시 성북구 길음동 535번지 8호 길음시장-65,66	20231201	처분확정	과태료부과	법 제101조제4항1호	20231201	식품위생법 위반(2021년 위생교육 미수료)	과태료부과	<NA>	<NA>
6	3070000	20240314	19930050505	일반음식점	호프/통닭	오술로	서울특별시 성북구 동소문로6길 4-11, (동소문동2가)	서울특별시 성북구 동소문동2가 39번지	20231129	처분확정	과태료부과	법 제101조제4항1호	20231129	식품위생법 위반(2021년 위생교육 미수료)	과태료부과	<NA>	<NA>
7	3070000	20240314	19980050312	일반음식점	호프/통닭	청춘퓨전포차	서울특별시 성북구 고려대로26길 42-1, (안암동5가)	서울특별시 성북구 안암동5가 104번지 28호	20231128	처분확정	과태료부과	법 제101조제4항1호	20231128	식품위생법 위반(2021년 위생교육 미수료)	과태료부과	<NA>	<NA>
8	3070000	20240314	19990050715	일반음식점	분식	손칼국수	서울특별시 성북구 동소문로40길 2, (하월곡동)	서울특별시 성북구 하월곡동 104번지 85호	20231128	처분확정	과태료부과	법 제101조제4항1호	20231128	식품위생법 위반(2021년 위생교육 미수료)	과태료부과	<NA>	<NA>
9	3070000	20240314	20030050506	일반음식점	분식	한갈비탕	서울특별시 성북구 동소문로 227, 65,66호 (길음동)	서울특별시 성북구 길음동 535번지 8호 길음시장-65,66	20231201	처분확정	과태료부과	법 제101조제4항1호	20231201	식품위생법 위반(2021년 위생교육 미수료)	과태료부과	<NA>	39.6

	시군구코드	처분일자	교부번호	업종명	업태명	업소명	소재지도로명	소재지지번	지도점검일자	행정처분상태	처분명	법적근거	위반일자	위반내용	처분내용	처분기간	영업장면적(㎡)
8927	3070000	20010217	20000050458	기타식품판매업	기타식품판매업	참조은마트	<NA>	서울특별시 성북구 돈암동 624번지 0호 현대상가지하2층	20001201	처분확정	영업정지7일 갈음 과징금 371만원	식품위생법제31조	20001201	유통기한 경과제품 진열판매	영업정지7일 갈음 과징금 371만원	7	<NA>
8928	3070000	20010209	02900430100316	이용업	일반이용업	광명	<NA>	서울특별시 성북구 보문동5가 156번지 3호	20010204	처분확정	개선명령	공중위생관리법제11조2항	20011016	시설및설비기준위반	개선명령	<NA>	73.74
8929	3070000	20010206	19950050320	식품제조가공업	식품제조가공업	수정식품	<NA>	서울특별시 성북구 종암동 9번지 54호	20010130	처분확정	시정명령(2001.2.21까지)	식품위생법제10조	20010130	제품명표시기준위반(동부콩원료의 묵을 청포묵으로 표기)	시정명령(2001.2.21까지)	<NA>	<NA>
8930	3070000	20010206	19950050320	식품제조가공업	식품제조가공업	수정식품	<NA>	서울특별시 성북구 종암동 9번지 54호	20010130	처분확정	시정명령(2001.2.21까지)	식품위생법제10조	20010130	제품명표시기준위반(동부콩원료의 묵을 청포묵으로 표기)	시정명령(2001.2.21까지)	<NA>	<NA>
8931	3070000	20010116	02900430100387	이용업	일반이용업	예진	<NA>	서울특별시 성북구 장위동 6번지 111호	20001206	처분확정	영업정지15일	공중위생관리법제11조2항	20011016	시설기준위반(밀실설치)	영업정지15일	15	<NA>
8932	3070000	20001208	19980050952	식품제조가공업	식품제조가공업	산촌한과	<NA>	서울특별시 성북구 성북동 131번지 51호	20001109	처분확정	품목제조정지15일, 시정명령(즉시)	식품위생법제10조	20001109	유통기한 미표시 및 제품명 불분명	품목제조정지15일, 시정명령(즉시)	15	<NA>
8933	3070000	20001106	19950050320	식품제조가공업	식품제조가공업	수정식품	<NA>	서울특별시 성북구 종암동 9번지 54호	20000925	처분확정	품목제조정지1월갈음 과징금 360만원	식품위생법제19조	20000925	자가품질검사 미실시(청포묵, 도토리묵)	품목제조정지1월갈음 과징금 360만원	<NA>	<NA>
8934	3070000	20001106	19950050320	식품제조가공업	식품제조가공업	수정식품	<NA>	서울특별시 성북구 종암동 9번지 54호	20000925	처분확정	건강진단미필(2/4),과태료50만원	식품위생법 제26조	20000925	건강진단미필(2/4)	건강진단미필(2/4),과태료50만원	<NA>	<NA>
8935	3070000	20001106	19950050320	식품제조가공업	식품제조가공업	수정식품	<NA>	서울특별시 성북구 종암동 9번지 54호	20000925	처분확정	품목제조정지1월갈음 과징금 360만원	식품위생법제19조	20000925	자가품질검사 미실시(청포묵, 도토리묵)	품목제조정지1월갈음 과징금 360만원	<NA>	<NA>
8936	3070000	20001106	19950050320	식품제조가공업	식품제조가공업	수정식품	<NA>	서울특별시 성북구 종암동 9번지 54호	20000925	처분확정	건강진단미필(2/4),과태료50만원	식품위생법 제26조	20000925	건강진단미필(2/4)	건강진단미필(2/4),과태료50만원	<NA>	<NA>

Most frequently occurring

	시군구코드	처분일자	교부번호	업종명	업태명	업소명	소재지도로명	소재지지번	지도점검일자	행정처분상태	처분명	법적근거	위반일자	위반내용	처분내용	처분기간	영업장면적(㎡)	# duplicates
61	3070000	20050704	20010051169	식품제조가공업	식품제조가공업	성일식품	<NA>	서울특별시 성북구 정릉동 210번지 상가 푸른마을동아아파트-지하1층	20050419	처분확정	과태료부과20만원	식품위생법 제27조	20050419	2004년도 영업자 위생교육 미수료	과태료부과20만원	<NA>	<NA>	8
63	3070000	20050704	20010051169	식품제조가공업	식품제조가공업	성일식품	<NA>	서울특별시 성북구 정릉동 210번지 상가 푸른마을동아아파트-지하1층	20050419	처분확정	시정명령	식품위생법 제27조	20050419	2004년도 영업자 위생교육 미수료	시정명령	<NA>	<NA>	8
196	3070000	20110713	19950050486	일반음식점	한식	쌍둥이식당	<NA>	서울특별시 성북구 상월곡동 64번지 3호	20110706	처분확정	과태료부과	식품위생법 제3조 및 동법 시행규칙 제100조	20110706	위생모 미착용	과태료부과	<NA>	<NA>	5
197	3070000	20110713	19950050486	일반음식점	한식	쌍둥이식당	<NA>	서울특별시 성북구 상월곡동 64번지 3호	20110706	처분확정	과태료부과	식품위생법 제40조제1항	20110706	건강진단을 받지 아니한 종업원(조리장 종사, 윤영은)	과태료부과	<NA>	<NA>	5
198	3070000	20110713	19950050486	일반음식점	한식	쌍둥이식당	<NA>	서울특별시 성북구 상월곡동 64번지 3호	20110706	처분확정	과태료부과	식품위생법 제40조제1항	20110706	건강진단을 받지 아니한 종업원(조리장 종사, 윤용진)	과태료부과	<NA>	<NA>	5
199	3070000	20110713	19950050486	일반음식점	한식	쌍둥이식당	<NA>	서울특별시 성북구 상월곡동 64번지 3호	20110706	처분확정	과태료부과	식품위생법 제40조제1항	20110706	건강진단을 받지 아니한 종업원(조리장 종사, 윤정은)	과태료부과	<NA>	<NA>	5
200	3070000	20110713	19950050486	일반음식점	한식	쌍둥이식당	<NA>	서울특별시 성북구 상월곡동 64번지 3호	20110706	처분확정	과태료부과	식품위생법 제40조제3항	20110706	건강진단을 받지 아니한 종업원을 영업에 종사시킨 영업자(3/3)	과태료부과	<NA>	<NA>	5
20	3070000	20030509	20020050806	유통전문판매업	유통전문판매업	주식회사 지웰라이프	<NA>	서울특별시 성북구 보문동7가 118번지 서광빌딩 5층	20030421	처분확정	영업정지	식품위생법제11조	20030421	허위과대광고	영업정지	15	<NA>	4
34	3070000	20040513	20010051169	식품제조가공업	식품제조가공업	성일식품	<NA>	서울특별시 성북구 정릉동 170번지 16호	20040408	처분확정	품목류제조정지	식품위생법제19조	20040408	자가품질검사미필	품목류제조정지	<NA>	<NA>	4
50	3070000	20050506	20010051169	식품제조가공업	식품제조가공업	성일식품	<NA>	서울특별시 성북구 정릉동 210번지 상가 푸른마을동아아파트-지하1층	20050418	처분확정	시정명령	식품위생법제7조	20050418	식품의 원료사용기준 위반 -유통기한(가공일자) 미표시식품 원료사용,보관	시정명령	<NA>	<NA>	4

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Dash Punctuation

Space Separator

Other Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Other Punctuation

Close Punctuation

Open Punctuation

Space Separator

Math Symbol

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Lowercase Letter

Other Punctuation

Decimal Number

Close Punctuation

Open Punctuation

Space Separator

Dash Punctuation

Math Symbol

Letter Number

Other Number

Modifier Symbol

Most occurring scripts

Most frequent character per script

Hangul

Latin

Han

Common

Hiragana

Most occurring blocks

Most frequent character per block

Hangul

ASCII

None

Number Forms

Hiragana

CJK

CJK Compat Ideographs

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Lowercase Letter

Decimal Number

Other Punctuation