gimi9 Pandas Profiling

Dataset statistics

Number of variables	16
Number of observations	10000
Missing cells	19041
Missing cells (%)	11.9%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.4 MiB
Average record size in memory	142.0 B

Variable types

Numeric	6
Categorical	4
Text	6

Dataset

Description	시군구코드,등록신청사업,영업구분,등록증번호,상호,법인여부,사업장 전화번호,소재지,소재지(도로명),우편번호,등록일자,유효기간만료일자,폐쇄일자,지점설립일자,본점여부,최근수정일자
Author	서울특별시
URL	https://data.seoul.go.kr/dataList/OA-13648/S/1/datasetView.do

Alerts

`등록일자` is highly overall correlated with `유효기간만료일자` and 2 other fields	High correlation
`유효기간만료일자` is highly overall correlated with `등록일자` and 2 other fields	High correlation
`폐쇄일자` is highly overall correlated with `등록일자` and 2 other fields	High correlation
`최근수정일자` is highly overall correlated with `등록일자` and 2 other fields	High correlation
`본점여부` is highly imbalanced (94.5%)	Imbalance
`등록증번호` has 141 (1.4%) missing values	Missing
`사업장 전화번호` has 3369 (33.7%) missing values	Missing
`소재지` has 301 (3.0%) missing values	Missing
`소재지(도로명)` has 4789 (47.9%) missing values	Missing
`우편번호` has 5546 (55.5%) missing values	Missing
`유효기간만료일자` has 2034 (20.3%) missing values	Missing
`폐쇄일자` has 1582 (15.8%) missing values	Missing
`지점설립일자` has 1279 (12.8%) missing values	Missing

Reproduction

Analysis started	2024-05-18 00:39:13.445162
Analysis finished	2024-05-18 00:39:38.116769
Duration	24.67 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

시군구코드
Real number (ℝ)

Distinct	25
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3144108

Minimum	3000000
Maximum	3240000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	3000000
5-th percentile	3010000
Q1	3080000
median	3160000
Q3	3220000
95-th percentile	3230000
Maximum	3240000
Range	240000
Interquartile range (IQR)	140000

Descriptive statistics

Standard deviation	75442.12
Coefficient of variation (CV)	0.023994761
Kurtosis	-1.1455542
Mean	3144108
Median Absolute Deviation (MAD)	60000
Skewness	-0.47690257
Sum	3.144108 × 10¹⁰
Variance	5.6915135 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
3220000	1633	16.3%
3210000	976	9.8%
3230000	606	6.1%
3180000	587	5.9%
3010000	568	5.7%
3130000	434	4.3%
3150000	419	4.2%
3080000	412	4.1%
3090000	339	3.4%
3160000	329	3.3%
Other values (15)	3697	37.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3000000	281	2.8%
3010000	568	5.7%
3020000	135	1.4%
3030000	245	2.5%
3040000	234	2.3%
3050000	320	3.2%
3060000	301	3.0%
3070000	173	1.7%
3080000	412	4.1%
3090000	339	3.4%

Value	Count	Frequency (%)
3240000	324	3.2%
3230000	606	6.1%
3220000	1633	16.3%
3210000	976	9.8%
3200000	319	3.2%
3190000	164	1.6%
3180000	587	5.9%
3170000	206	2.1%
3160000	329	3.3%
3150000	419	4.2%

등록신청사업
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

대부업	6219
대부중개업	3355
<NA>	426

Length

Max length	5
Median length	3
Mean length	3.7136
Min length	3

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	대부업
2nd row	대부업
3rd row	대부중개업
4th row	대부업
5th row	대부업

Common Values

Value	Count	Frequency (%)
대부업	6219	62.2%
대부중개업	3355	33.6%
<NA>	426	4.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
대부업	6219	62.2%
대부중개업	3355	33.6%
na	426	4.3%

영업구분
Categorical

Distinct	8
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

폐업	3776
<NA>	2866
타시군구이관	1171
영업중	830
유효기간만료	816
Other values (3)	541

Length

Max length	6
Median length	4
Mean length	3.56
Min length	2

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	폐업
2nd row	폐업
3rd row	폐업
4th row	<NA>
5th row	직권취소

Common Values

Value	Count	Frequency (%)
폐업	3776	37.8%
<NA>	2866	28.7%
타시군구이관	1171	11.7%
영업중	830	8.3%
유효기간만료	816	8.2%
직권취소	536	5.4%
갱신등록불가	4	< 0.1%
영업정지	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
폐업	3776	37.8%
na	2866	28.7%
타시군구이관	1171	11.7%
영업중	830	8.3%
유효기간만료	816	8.2%
직권취소	536	5.4%
갱신등록불가	4	< 0.1%
영업정지	1	< 0.1%

등록증번호
Text

MISSING

Distinct	9816
Distinct (%)	99.6%
Missing	141
Missing (%)	1.4%
Memory size	156.2 KiB

Length

Max length	29
Median length	27
Mean length	19.527741
Min length	5

Characters and Unicode

Total characters	192524
Distinct characters	89
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	9773 ?
Unique (%)	99.1%

Sample

1st row	2011-서울마포-0098(대부업)
2nd row	2018-서울노원-00016
3rd row	2016-서울금천-00016
4th row	2008-서울특별시-02327(대부업)
5th row	2012-서울성동-0038

Value	Count	Frequency (%)
2013-서울특별시	17	0.2%
2011-서울특별시	17	0.2%
2012-서울특별시	15	0.1%
2010-서울	13	0.1%
대부중개업	11	0.1%
대부업	9	0.1%
2014-서울특별시	9	0.1%
2016-서울특별시	8	0.1%
2017-서울특별시	8	0.1%
성북구-00003	7	0.1%
Other values (9791)	9893	98.9%

Most occurring characters

Value	Count	Frequency (%)
0	33967	17.6%
-	19702	10.2%
2	15821	8.2%
1	11832	6.1%
서	10960	5.7%
울	9836	5.1%
대	8533	4.4%
(	8258	4.3%
부	8222	4.3%
)	8198	4.3%
Other values (79)	57195	29.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	82916	43.1%
Other Letter	73302	38.1%
Dash Punctuation	19702	10.2%
Open Punctuation	8258	4.3%
Close Punctuation	8198	4.3%
Space Separator	148	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
서	10960	15.0%
울	9836	13.4%
대	8533	11.6%
부	8222	11.2%
업	7981	10.9%
중	3533	4.8%
개	2905	4.0%
시	2523	3.4%
별	2515	3.4%
특	2515	3.4%
Other values (65)	13779	18.8%

Decimal Number

Value	Count	Frequency (%)
0	33967	41.0%
2	15821	19.1%
1	11832	14.3%
3	3862	4.7%
8	3172	3.8%
4	3055	3.7%
6	2840	3.4%
9	2820	3.4%
7	2802	3.4%
5	2745	3.3%

Dash Punctuation

Value	Count	Frequency (%)
-	19702	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	8258	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	8198	100.0%

Space Separator

Value	Count	Frequency (%)
	148	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	119222	61.9%
Hangul	73302	38.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
서	10960	15.0%
울	9836	13.4%
대	8533	11.6%
부	8222	11.2%
업	7981	10.9%
중	3533	4.8%
개	2905	4.0%
시	2523	3.4%
별	2515	3.4%
특	2515	3.4%
Other values (65)	13779	18.8%

Common

Value	Count	Frequency (%)
0	33967	28.5%
-	19702	16.5%
2	15821	13.3%
1	11832	9.9%
(	8258	6.9%
)	8198	6.9%
3	3862	3.2%
8	3172	2.7%
4	3055	2.6%
6	2840	2.4%
Other values (4)	8515	7.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	119222	61.9%
Hangul	73302	38.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	33967	28.5%
-	19702	16.5%
2	15821	13.3%
1	11832	9.9%
(	8258	6.9%
)	8198	6.9%
3	3862	3.2%
8	3172	2.7%
4	3055	2.6%
6	2840	2.4%
Other values (4)	8515	7.1%

Hangul

Value	Count	Frequency (%)
서	10960	15.0%
울	9836	13.4%
대	8533	11.6%
부	8222	11.2%
업	7981	10.9%
중	3533	4.8%
개	2905	4.0%
시	2523	3.4%
별	2515	3.4%
특	2515	3.4%
Other values (65)	13779	18.8%

상호
Text

Distinct	8701
Distinct (%)	87.0%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	36
Median length	30
Mean length	7.7303
Min length	1

Characters and Unicode

Total characters	77303
Distinct characters	772
Distinct categories	12 ?
Distinct scripts	4 ?
Distinct blocks	6 ?

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

Unique

Unique	7655 ?
Unique (%)	76.5%

Sample

1st row	다전대부
2nd row	SC파이낸스 대부
3rd row	디앤씨파트너스대부중개
4th row	아이엔씨 인베스트먼트
5th row	피그뱅크대부업

Value	Count	Frequency (%)
주식회사	812	6.8%
대부	297	2.5%
대부중개	292	2.5%
유한회사	57	0.5%
캐피탈	25	0.2%
대부업	21	0.2%
미래	14	0.1%
주	14	0.1%
money	12	0.1%
전당포	12	0.1%
Other values (8732)	10330	86.9%

Most occurring characters

Value	Count	Frequency (%)
대	8473	11.0%
부	8146	10.5%
주	2695	3.5%
이	2229	2.9%
개	2046	2.6%
중	2031	2.6%
스	1943	2.5%
)	1891	2.4%
	1889	2.4%
(	1884	2.4%
Other values (762)	44076	57.0%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	67687	87.6%
Uppercase Letter	2296	3.0%
Close Punctuation	1891	2.4%
Space Separator	1889	2.4%
Open Punctuation	1884	2.4%
Lowercase Letter	1129	1.5%
Decimal Number	274	0.4%
Other Punctuation	205	0.3%
Dash Punctuation	34	< 0.1%
Other Symbol	11	< 0.1%
Other values (2)	3	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
대	8473	12.5%
부	8146	12.0%
주	2695	4.0%
이	2229	3.3%
개	2046	3.0%
중	2031	3.0%
스	1943	2.9%
사	1343	2.0%
피	1132	1.7%
캐	1024	1.5%
Other values (690)	36625	54.1%

Uppercase Letter

Value	Count	Frequency (%)
S	303	13.2%
K	213	9.3%
C	178	7.8%
J	175	7.6%
M	165	7.2%
H	122	5.3%
B	103	4.5%
L	98	4.3%
O	98	4.3%
A	92	4.0%
Other values (15)	749	32.6%

Lowercase Letter

Value	Count	Frequency (%)
e	143	12.7%
n	141	12.5%
o	111	9.8%
a	110	9.7%
i	72	6.4%
t	62	5.5%
l	61	5.4%
s	56	5.0%
c	54	4.8%
r	48	4.3%
Other values (15)	271	24.0%

Decimal Number

Value	Count	Frequency (%)
1	86	31.4%
2	39	14.2%
4	34	12.4%
3	27	9.9%
9	22	8.0%
5	20	7.3%
7	15	5.5%
0	14	5.1%
6	12	4.4%
8	5	1.8%

Other Punctuation

Value	Count	Frequency (%)
.	105	51.2%
&	90	43.9%
?	4	2.0%
,	4	2.0%
*	2	1.0%

Close Punctuation

Value	Count	Frequency (%)
)	1891	100.0%

Space Separator

Value	Count	Frequency (%)
	1889	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1884	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	34	100.0%

Other Symbol

Value	Count	Frequency (%)
㈜	11	100.0%

Math Symbol

Value	Count	Frequency (%)
~	2	100.0%

Letter Number

Value	Count	Frequency (%)
Ⅱ	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	67681	87.6%
Common	6179	8.0%
Latin	3426	4.4%
Han	17	< 0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
대	8473	12.5%
부	8146	12.0%
주	2695	4.0%
이	2229	3.3%
개	2046	3.0%
중	2031	3.0%
스	1943	2.9%
사	1343	2.0%
피	1132	1.7%
캐	1024	1.5%
Other values (676)	36619	54.1%

Latin

Value	Count	Frequency (%)
S	303	8.8%
K	213	6.2%
C	178	5.2%
J	175	5.1%
M	165	4.8%
e	143	4.2%
n	141	4.1%
H	122	3.6%
o	111	3.2%
a	110	3.2%
Other values (41)	1765	51.5%

Common

Value	Count	Frequency (%)
)	1891	30.6%
	1889	30.6%
(	1884	30.5%
.	105	1.7%
&	90	1.5%
1	86	1.4%
2	39	0.6%
-	34	0.6%
4	34	0.6%
3	27	0.4%
Other values (10)	100	1.6%

Han

Value	Count	Frequency (%)
正	2	11.8%
信	2	11.8%
松	1	5.9%
錫	1	5.9%
靑	1	5.9%
成	1	5.9%
宙	1	5.9%
鄭	1	5.9%
趙	1	5.9%
道	1	5.9%
Other values (5)	5	29.4%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	67669	87.5%
ASCII	9604	12.4%
CJK	17	< 0.1%
None	11	< 0.1%
Compat Jamo	1	< 0.1%
Number Forms	1	< 0.1%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
대	8473	12.5%
부	8146	12.0%
주	2695	4.0%
이	2229	3.3%
개	2046	3.0%
중	2031	3.0%
스	1943	2.9%
사	1343	2.0%
피	1132	1.7%
캐	1024	1.5%
Other values (674)	36607	54.1%

ASCII

Value	Count	Frequency (%)
)	1891	19.7%
	1889	19.7%
(	1884	19.6%
S	303	3.2%
K	213	2.2%
C	178	1.9%
J	175	1.8%
M	165	1.7%
e	143	1.5%
n	141	1.5%
Other values (60)	2622	27.3%

None

Value	Count	Frequency (%)
㈜	11	100.0%

CJK

Value	Count	Frequency (%)
正	2	11.8%
信	2	11.8%
松	1	5.9%
錫	1	5.9%
靑	1	5.9%
成	1	5.9%
宙	1	5.9%
鄭	1	5.9%
趙	1	5.9%
道	1	5.9%
Other values (5)	5	29.4%

Compat Jamo

Value	Count	Frequency (%)
ㆍ	1	100.0%

Number Forms

Value	Count	Frequency (%)
Ⅱ	1	100.0%

법인여부
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

개인	7193
법인	2807

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
개인	7193	71.9%
법인	2807	28.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
개인	7193	71.9%
법인	2807	28.1%

사업장 전화번호
Text

MISSING

Distinct	5876
Distinct (%)	88.6%
Missing	3369
Missing (%)	33.7%
Memory size	156.2 KiB

Length

Max length	41
Median length	40
Mean length	10.636405
Min length	1

Characters and Unicode

Total characters	70530
Distinct characters	40
Distinct categories	10 ?
Distinct scripts	3 ?
Distinct blocks	2 ?

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

Unique

Unique	5281 ?
Unique (%)	79.6%

Sample

1st row	02-994-8282
2nd row	1644-6101
3rd row	3754665
4th row	02-205-2300
5th row	02-858-3877

Value	Count	Frequency (%)
02	291	3.9%
	65	0.9%
070	39	0.5%
010	11	0.1%
1644	7	0.1%
0	6	0.1%
2209	6	0.1%
02-525-3469	6	0.1%
1577	5	0.1%
927	5	0.1%
Other values (6218)	7037	94.1%

Most occurring characters

Value	Count	Frequency (%)
0	11569	16.4%
2	10386	14.7%
-	7099	10.1%
5	5835	8.3%
7	5567	7.9%
6	5048	7.2%
1	5041	7.1%
3	4941	7.0%
8	4871	6.9%
4	4823	6.8%
Other values (30)	5350	7.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	62183	88.2%
Dash Punctuation	7099	10.1%
Space Separator	945	1.3%
Other Punctuation	160	0.2%
Close Punctuation	70	0.1%
Math Symbol	27	< 0.1%
Open Punctuation	22	< 0.1%
Other Letter	19	< 0.1%
Uppercase Letter	4	< 0.1%
Modifier Symbol	1	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
부	1	5.3%
등	1	5.3%
미	1	5.3%
음	1	5.3%
없	1	5.3%
사	1	5.3%
회	1	5.3%
식	1	5.3%
주	1	5.3%
대	1	5.3%
Other values (9)	9	47.4%

Decimal Number

Value	Count	Frequency (%)
0	11569	18.6%
2	10386	16.7%
5	5835	9.4%
7	5567	9.0%
6	5048	8.1%
1	5041	8.1%
3	4941	7.9%
8	4871	7.8%
4	4823	7.8%
9	4102	6.6%

Other Punctuation

Value	Count	Frequency (%)
*	80	50.0%
/	53	33.1%
.	27	16.9%

Uppercase Letter

Value	Count	Frequency (%)
K	2	50.0%
T	2	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	7099	100.0%

Space Separator

Value	Count	Frequency (%)
	945	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	70	100.0%

Math Symbol

Value	Count	Frequency (%)
~	27	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	22	100.0%

Modifier Symbol

Value	Count	Frequency (%)
`	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	70507	> 99.9%
Hangul	19	< 0.1%
Latin	4	< 0.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11569	16.4%
2	10386	14.7%
-	7099	10.1%
5	5835	8.3%
7	5567	7.9%
6	5048	7.2%
1	5041	7.1%
3	4941	7.0%
8	4871	6.9%
4	4823	6.8%
Other values (9)	5327	7.6%

Hangul

Value	Count	Frequency (%)
부	1	5.3%
등	1	5.3%
미	1	5.3%
음	1	5.3%
없	1	5.3%
사	1	5.3%
회	1	5.3%
식	1	5.3%
주	1	5.3%
대	1	5.3%
Other values (9)	9	47.4%

Latin

Value	Count	Frequency (%)
K	2	50.0%
T	2	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	70511	> 99.9%
Hangul	19	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11569	16.4%
2	10386	14.7%
-	7099	10.1%
5	5835	8.3%
7	5567	7.9%
6	5048	7.2%
1	5041	7.1%
3	4941	7.0%
8	4871	6.9%
4	4823	6.8%
Other values (11)	5331	7.6%

Hangul

Value	Count	Frequency (%)
부	1	5.3%
등	1	5.3%
미	1	5.3%
음	1	5.3%
없	1	5.3%
사	1	5.3%
회	1	5.3%
식	1	5.3%
주	1	5.3%
대	1	5.3%
Other values (9)	9	47.4%

소재지
Text

MISSING

Distinct	8644
Distinct (%)	89.1%
Missing	301
Missing (%)	3.0%
Memory size	156.2 KiB

Length

Max length	64
Median length	48
Mean length	31.490566
Min length	15

Characters and Unicode

Total characters	305427
Distinct characters	613
Distinct categories	12 ?
Distinct scripts	4 ?
Distinct blocks	6 ?

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

Unique

Unique	7876 ?
Unique (%)	81.2%

Sample

1st row	서울특별시 마포구 합정동 368번지 28호 2층
2nd row	서울특별시 노원구 공릉동 684번지 35호
3rd row	서울특별시 금천구 가산동 371번지 28호 우림라이온스밸리 제씨-4층-408
4th row	서울특별시 동대문구 신설동 101-7 동화빌딩 306호
5th row	서울특별시 성동구 옥수동 535번지 6호 제지층 제비01호

Value	Count	Frequency (%)
서울특별시	9695	17.0%
강남구	1627	2.8%
서초구	978	1.7%
1호	720	1.3%
역삼동	690	1.2%
송파구	599	1.0%
서초동	580	1.0%
중구	537	0.9%
영등포구	474	0.8%
2호	471	0.8%
Other values (9447)	40825	71.4%

Most occurring characters

Value	Count	Frequency (%)
	67754	22.2%
1	13437	4.4%
서	12122	4.0%
동	11122	3.6%
구	10426	3.4%
시	9959	3.3%
울	9749	3.2%
별	9704	3.2%
특	9697	3.2%
2	8746	2.9%
Other values (603)	142711	46.7%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	166972	54.7%
Space Separator	67754	22.2%
Decimal Number	63486	20.8%
Dash Punctuation	5466	1.8%
Uppercase Letter	1187	0.4%
Other Punctuation	235	0.1%
Close Punctuation	102	< 0.1%
Open Punctuation	99	< 0.1%
Lowercase Letter	85	< 0.1%
Letter Number	27	< 0.1%
Other values (2)	14	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
서	12122	7.3%
동	11122	6.7%
구	10426	6.2%
시	9959	6.0%
울	9749	5.8%
별	9704	5.8%
특	9697	5.8%
호	8586	5.1%
지	8448	5.1%
번	7932	4.8%
Other values (530)	69227	41.5%

Uppercase Letter

Value	Count	Frequency (%)
B	256	21.6%
A	218	18.4%
S	85	7.2%
D	76	6.4%
T	60	5.1%
K	53	4.5%
C	48	4.0%
I	48	4.0%
L	42	3.5%
G	37	3.1%
Other values (16)	264	22.2%

Lowercase Letter

Value	Count	Frequency (%)
e	18	21.2%
i	11	12.9%
n	9	10.6%
r	7	8.2%
t	7	8.2%
c	6	7.1%
k	3	3.5%
w	3	3.5%
o	3	3.5%
s	3	3.5%
Other values (8)	15	17.6%

Decimal Number

Value	Count	Frequency (%)
1	13437	21.2%
2	8746	13.8%
0	8084	12.7%
3	6951	10.9%
4	5775	9.1%
5	4974	7.8%
6	4464	7.0%
7	4178	6.6%
9	3458	5.4%
8	3419	5.4%

Other Punctuation

Value	Count	Frequency (%)
,	86	36.6%
/	78	33.2%
.	60	25.5%
？	4	1.7%
&	2	0.9%
#	2	0.9%
@	2	0.9%
*	1	0.4%

Letter Number

Value	Count	Frequency (%)
Ⅱ	19	70.4%
Ⅰ	5	18.5%
Ⅲ	3	11.1%

Math Symbol

Value	Count	Frequency (%)
~	11	84.6%
>	1	7.7%
<	1	7.7%

Space Separator

Value	Count	Frequency (%)
	67754	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	5466	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	102	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	99	100.0%

Other Number

Value	Count	Frequency (%)
½	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	166970	54.7%
Common	137156	44.9%
Latin	1299	0.4%
Han	2	< 0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
서	12122	7.3%
동	11122	6.7%
구	10426	6.2%
시	9959	6.0%
울	9749	5.8%
별	9704	5.8%
특	9697	5.8%
호	8586	5.1%
지	8448	5.1%
번	7932	4.8%
Other values (528)	69225	41.5%

Latin

Value	Count	Frequency (%)
B	256	19.7%
A	218	16.8%
S	85	6.5%
D	76	5.9%
T	60	4.6%
K	53	4.1%
C	48	3.7%
I	48	3.7%
L	42	3.2%
G	37	2.8%
Other values (37)	376	28.9%

Common

Value	Count	Frequency (%)
	67754	49.4%
1	13437	9.8%
2	8746	6.4%
0	8084	5.9%
3	6951	5.1%
4	5775	4.2%
-	5466	4.0%
5	4974	3.6%
6	4464	3.3%
7	4178	3.0%
Other values (16)	7327	5.3%

Han

Value	Count	Frequency (%)
塘	1	50.0%
金	1	50.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	166970	54.7%
ASCII	138423	45.3%
Number Forms	27	< 0.1%
None	5	< 0.1%
CJK	1	< 0.1%
CJK Compat Ideographs	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	67754	48.9%
1	13437	9.7%
2	8746	6.3%
0	8084	5.8%
3	6951	5.0%
4	5775	4.2%
-	5466	3.9%
5	4974	3.6%
6	4464	3.2%
7	4178	3.0%
Other values (58)	8594	6.2%

Hangul

Value	Count	Frequency (%)
서	12122	7.3%
동	11122	6.7%
구	10426	6.2%
시	9959	6.0%
울	9749	5.8%
별	9704	5.8%
특	9697	5.8%
호	8586	5.1%
지	8448	5.1%
번	7932	4.8%
Other values (528)	69225	41.5%

Number Forms

Value	Count	Frequency (%)
Ⅱ	19	70.4%
Ⅰ	5	18.5%
Ⅲ	3	11.1%

None

Value	Count	Frequency (%)
？	4	80.0%
½	1	20.0%

CJK

Value	Count	Frequency (%)
塘	1	100.0%

CJK Compat Ideographs

Value	Count	Frequency (%)
金	1	100.0%

소재지(도로명)
Text

MISSING

Distinct	4769
Distinct (%)	91.5%
Missing	4789
Missing (%)	47.9%
Memory size	156.2 KiB

Length

Max length	66
Median length	55
Mean length	37.219919
Min length	22

Characters and Unicode

Total characters	193953
Distinct characters	603
Distinct categories	11 ?
Distinct scripts	3 ?
Distinct blocks	4 ?

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

Unique

Unique	4373 ?
Unique (%)	83.9%

Sample

1st row	서울특별시 노원구 화랑로 419-15, 4층 (공릉동)
2nd row	서울특별시 금천구 가산디지털1로 168, 제씨-4층 408호 (가산동, 우림라이온스밸리)
3rd row	서울특별시 서초구 서초대로54길 29-30, 5층 (서초동, 이레빌딩)
4th row	서울특별시 동대문구 제기로 19-4 (제기동)
5th row	서울특별시 서초구 효령로 237, 203-1호 (서초동, 서초한신리빙타워)

Value	Count	Frequency (%)
서울특별시	5209	14.1%
강남구	956	2.6%
서초구	579	1.6%
2층	433	1.2%
역삼동	403	1.1%
3층	402	1.1%
서초동	370	1.0%
영등포구	347	0.9%
4층	311	0.8%
송파구	308	0.8%
Other values (6612)	27575	74.7%

Most occurring characters

Value	Count	Frequency (%)
	31708	16.3%
1	7538	3.9%
,	7192	3.7%
서	6894	3.6%
동	6856	3.5%
구	5725	3.0%
로	5718	2.9%
시	5417	2.8%
2	5368	2.8%
울	5262	2.7%
Other values (593)	106275	54.8%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	107900	55.6%
Decimal Number	34587	17.8%
Space Separator	31708	16.3%
Other Punctuation	7206	3.7%
Open Punctuation	5254	2.7%
Close Punctuation	5254	2.7%
Dash Punctuation	1038	0.5%
Uppercase Letter	884	0.5%
Lowercase Letter	85	< 0.1%
Letter Number	25	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
서	6894	6.4%
동	6856	6.4%
구	5725	5.3%
로	5718	5.3%
시	5417	5.0%
울	5262	4.9%
별	5217	4.8%
특	5210	4.8%
호	4236	3.9%
길	2795	2.6%
Other values (521)	54570	50.6%

Uppercase Letter

Value	Count	Frequency (%)
B	170	19.2%
A	117	13.2%
S	74	8.4%
C	55	6.2%
T	53	6.0%
I	42	4.8%
E	42	4.8%
K	40	4.5%
G	39	4.4%
L	32	3.6%
Other values (16)	220	24.9%

Lowercase Letter

Value	Count	Frequency (%)
e	13	15.3%
n	10	11.8%
i	9	10.6%
r	8	9.4%
t	7	8.2%
c	7	8.2%
b	4	4.7%
w	4	4.7%
a	4	4.7%
o	3	3.5%
Other values (9)	16	18.8%

Decimal Number

Value	Count	Frequency (%)
1	7538	21.8%
2	5368	15.5%
0	4482	13.0%
3	4054	11.7%
4	2965	8.6%
5	2668	7.7%
6	2311	6.7%
7	1891	5.5%
8	1761	5.1%
9	1549	4.5%

Other Punctuation

Value	Count	Frequency (%)
,	7192	99.8%
.	7	0.1%
&	2	< 0.1%
@	2	< 0.1%
？	1	< 0.1%
#	1	< 0.1%
/	1	< 0.1%

Letter Number

Value	Count	Frequency (%)
Ⅱ	15	60.0%
Ⅰ	6	24.0%
Ⅲ	4	16.0%

Math Symbol

Value	Count	Frequency (%)
~	8	66.7%
>	2	16.7%
<	2	16.7%

Space Separator

Value	Count	Frequency (%)
	31708	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	5254	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	5254	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1038	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	107900	55.6%
Common	85059	43.9%
Latin	994	0.5%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
서	6894	6.4%
동	6856	6.4%
구	5725	5.3%
로	5718	5.3%
시	5417	5.0%
울	5262	4.9%
별	5217	4.8%
특	5210	4.8%
호	4236	3.9%
길	2795	2.6%
Other values (521)	54570	50.6%

Latin

Value	Count	Frequency (%)
B	170	17.1%
A	117	11.8%
S	74	7.4%
C	55	5.5%
T	53	5.3%
I	42	4.2%
E	42	4.2%
K	40	4.0%
G	39	3.9%
L	32	3.2%
Other values (38)	330	33.2%

Common

Value	Count	Frequency (%)
	31708	37.3%
1	7538	8.9%
,	7192	8.5%
2	5368	6.3%
(	5254	6.2%
)	5254	6.2%
0	4482	5.3%
3	4054	4.8%
4	2965	3.5%
5	2668	3.1%
Other values (14)	8576	10.1%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	107900	55.6%
ASCII	86027	44.4%
Number Forms	25	< 0.1%
None	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	31708	36.9%
1	7538	8.8%
,	7192	8.4%
2	5368	6.2%
(	5254	6.1%
)	5254	6.1%
0	4482	5.2%
3	4054	4.7%
4	2965	3.4%
5	2668	3.1%
Other values (58)	9544	11.1%

Hangul

Value	Count	Frequency (%)
서	6894	6.4%
동	6856	6.4%
구	5725	5.3%
로	5718	5.3%
시	5417	5.0%
울	5262	4.9%
별	5217	4.8%
특	5210	4.8%
호	4236	3.9%
길	2795	2.6%
Other values (521)	54570	50.6%

Number Forms

Value	Count	Frequency (%)
Ⅱ	15	60.0%
Ⅰ	6	24.0%
Ⅲ	4	16.0%

None

Value	Count	Frequency (%)
？	1	100.0%

우편번호
Real number (ℝ)

MISSING

Distinct	1387
Distinct (%)	31.1%
Missing	5546
Missing (%)	55.5%
Infinite	0
Infinite (%)	0.0%
Mean	136321.52

Minimum	2519
Maximum	410380
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	2519
5-th percentile	100858.6
Q1	132040
median	136135
Q3	142881.75
95-th percentile	157200
Maximum	410380
Range	407861
Interquartile range (IQR)	10841.75

Descriptive statistics

Standard deviation	15759.546
Coefficient of variation (CV)	0.11560571
Kurtosis	46.939822
Mean	136321.52
Median Absolute Deviation (MAD)	5005
Skewness	0.78937104
Sum	6.0717603 × 10⁸
Variance	2.4836329 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
135080	163	1.6%
137070	151	1.5%
135010	70	0.7%
157010	65	0.7%
151015	50	0.5%
142070	49	0.5%
151050	46	0.5%
158070	44	0.4%
152050	42	0.4%
138160	41	0.4%
Other values (1377)	3733	37.3%
(Missing)	5546	55.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2519	1	< 0.1%
4534	1	< 0.1%
4537	1	< 0.1%
4538	1	< 0.1%
4550	1	< 0.1%
7220	1	< 0.1%
7238	1	< 0.1%
7327	1	< 0.1%
100011	3	< 0.1%
100012	1	< 0.1%

Value	Count	Frequency (%)
410380	1	< 0.1%
403866	1	< 0.1%
158877	1	< 0.1%
158871	1	< 0.1%
158864	3	< 0.1%
158860	9	0.1%
158859	3	< 0.1%
158858	1	< 0.1%
158857	1	< 0.1%
158856	1	< 0.1%

등록일자
Real number (ℝ)

HIGH CORRELATION

Distinct	3504
Distinct (%)	35.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20136527

Minimum	20060127
Maximum	20240516
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	20060127
5-th percentile	20070827
Q1	20091128
median	20130228
Q3	20170722
95-th percentile	20230207
Maximum	20240516
Range	180389
Interquartile range (IQR)	79593.75

Descriptive statistics

Standard deviation	48689.67
Coefficient of variation (CV)	0.0024179776
Kurtosis	-0.89506521
Mean	20136527
Median Absolute Deviation (MAD)	39424
Skewness	0.46680154
Sum	2.0136527 × 10¹¹
Variance	2.370684 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20080814	30	0.3%
20080731	21	0.2%
20080818	20	0.2%
20080926	20	0.2%
20090611	19	0.2%
20081222	18	0.2%
20080805	17	0.2%
20090213	14	0.1%
20091008	14	0.1%
20110711	14	0.1%
Other values (3494)	9813	98.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20060127	1	< 0.1%
20060306	2	< 0.1%
20060308	1	< 0.1%
20060320	3	< 0.1%
20060323	2	< 0.1%
20060324	3	< 0.1%
20060329	3	< 0.1%
20060331	1	< 0.1%
20060405	2	< 0.1%
20060410	2	< 0.1%

Value	Count	Frequency (%)
20240516	1	< 0.1%
20240514	1	< 0.1%
20240510	2	< 0.1%
20240507	1	< 0.1%
20240503	1	< 0.1%
20240502	1	< 0.1%
20240425	3	< 0.1%
20240424	1	< 0.1%
20240423	1	< 0.1%
20240422	1	< 0.1%

유효기간만료일자
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	3278
Distinct (%)	41.1%
Missing	2034
Missing (%)	20.3%
Infinite	0
Infinite (%)	0.0%
Mean	20180888

Minimum	20080922
Maximum	20270516
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	20080922
5-th percentile	20120311
Q1	20141005
median	20171207
Q3	20211207
95-th percentile	20260508
Maximum	20270516
Range	189594
Interquartile range (IQR)	70201.75

Descriptive statistics

Standard deviation	44486.035
Coefficient of variation (CV)	0.0022043645
Kurtosis	-0.9739943
Mean	20180888
Median Absolute Deviation (MAD)	30600
Skewness	0.330616
Sum	1.6076096 × 10¹¹
Variance	1.9790073 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20110831	23	0.2%
20140831	16	0.2%
20140711	14	0.1%
20150531	13	0.1%
20140721	12	0.1%
20141108	12	0.1%
20190722	11	0.1%
20130329	10	0.1%
20140418	10	0.1%
20110814	10	0.1%
Other values (3268)	7835	78.3%
(Missing)	2034	20.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20080922	1	< 0.1%
20090907	1	< 0.1%
20091220	1	< 0.1%
20100122	1	< 0.1%
20100216	1	< 0.1%
20100323	1	< 0.1%
20100405	1	< 0.1%
20100411	2	< 0.1%
20100501	1	< 0.1%
20100515	2	< 0.1%

Value	Count	Frequency (%)
20270516	1	< 0.1%
20270514	1	< 0.1%
20270510	1	< 0.1%
20270509	1	< 0.1%
20270506	1	< 0.1%
20270503	1	< 0.1%
20270502	1	< 0.1%
20270425	3	< 0.1%
20270424	1	< 0.1%
20270423	1	< 0.1%

폐쇄일자
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	3100
Distinct (%)	36.8%
Missing	1582
Missing (%)	15.8%
Infinite	0
Infinite (%)	0.0%
Mean	20141703

Minimum	20071030
Maximum	20240516
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	20071030
5-th percentile	20090907
Q1	20110420
median	20130725
Q3	20170324
95-th percentile	20220842
Maximum	20240516
Range	169486
Interquartile range (IQR)	59904

Descriptive statistics

Standard deviation	40519.08
Coefficient of variation (CV)	0.0020117008
Kurtosis	-0.52035088
Mean	20141703
Median Absolute Deviation (MAD)	29797
Skewness	0.69344933
Sum	1.6955286 × 10¹¹
Variance	1.6417958 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20091116	216	2.2%
20100927	62	0.6%
20101213	23	0.2%
20170124	21	0.2%
20160725	19	0.2%
20110420	19	0.2%
20110914	15	0.1%
20110503	15	0.1%
20111108	15	0.1%
20111007	14	0.1%
Other values (3090)	7999	80.0%
(Missing)	1582	15.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20071030	1	< 0.1%
20071115	1	< 0.1%
20081023	1	< 0.1%
20090128	1	< 0.1%
20090211	1	< 0.1%
20090305	1	< 0.1%
20090306	1	< 0.1%
20090307	2	< 0.1%
20090309	5	0.1%
20090311	2	< 0.1%

Value	Count	Frequency (%)
20240516	1	< 0.1%
20240513	2	< 0.1%
20240510	1	< 0.1%
20240509	1	< 0.1%
20240507	3	< 0.1%
20240503	1	< 0.1%
20240501	3	< 0.1%
20240430	2	< 0.1%
20240429	2	< 0.1%
20240426	1	< 0.1%

지점설립일자
Text

MISSING

Distinct	3559
Distinct (%)	40.8%
Missing	1279
Missing (%)	12.8%
Memory size	156.2 KiB

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	69768
Distinct characters	15
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

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

Unique

Unique	1351 ?
Unique (%)	15.5%

Sample

1st row	20110915
2nd row	20171204
3rd row	20140227
4th row	20080904
5th row	20120904

Value	Count	Frequency (%)
20090514	22	0.3%
20090611	22	0.3%
20090520	17	0.2%
20090528	17	0.2%
20090529	15	0.2%
20090511	14	0.2%
20090820	14	0.2%
20090918	13	0.1%
20090821	13	0.1%
20090722	13	0.1%
Other values (3549)	8561	98.2%

Most occurring characters

Value	Count	Frequency (%)
0	22532	32.3%
2	15803	22.7%
1	14094	20.2%
3	2861	4.1%
7	2618	3.8%
9	2583	3.7%
6	2397	3.4%
5	2385	3.4%
4	2253	3.2%
8	2230	3.2%
Other values (5)	12	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	69756	> 99.9%
Space Separator	6	< 0.1%
Lowercase Letter	4	< 0.1%
Uppercase Letter	2	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	22532	32.3%
2	15803	22.7%
1	14094	20.2%
3	2861	4.1%
7	2618	3.8%
9	2583	3.7%
6	2397	3.4%
5	2385	3.4%
4	2253	3.2%
8	2230	3.2%

Lowercase Letter

Value	Count	Frequency (%)
a	2	50.0%
y	1	25.0%
r	1	25.0%

Space Separator

Value	Count	Frequency (%)
	6	100.0%

Uppercase Letter

Value	Count	Frequency (%)
M	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	69762	> 99.9%
Latin	6	< 0.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	22532	32.3%
2	15803	22.7%
1	14094	20.2%
3	2861	4.1%
7	2618	3.8%
9	2583	3.7%
6	2397	3.4%
5	2385	3.4%
4	2253	3.2%
8	2230	3.2%

Latin

Value	Count	Frequency (%)
M	2	33.3%
a	2	33.3%
y	1	16.7%
r	1	16.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	69768	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	22532	32.3%
2	15803	22.7%
1	14094	20.2%
3	2861	4.1%
7	2618	3.8%
9	2583	3.7%
6	2397	3.4%
5	2385	3.4%
4	2253	3.2%
8	2230	3.2%
Other values (5)	12	< 0.1%

본점여부
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

본점	9937
지점	63

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
본점	9937	99.4%
지점	63	0.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
본점	9937	99.4%
지점	63	0.6%

최근수정일자
Real number (ℝ)

HIGH CORRELATION

Distinct	3145
Distinct (%)	31.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20152749

Minimum	20090518
Maximum	20240517
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	20090518
5-th percentile	20091118
Q1	20111013
median	20140826
Q3	20190304
95-th percentile	20231006
Maximum	20240517
Range	149999
Interquartile range (IQR)	79291

Descriptive statistics

Standard deviation	45774.187
Coefficient of variation (CV)	0.0022713619
Kurtosis	-1.0420425
Mean	20152749
Median Absolute Deviation (MAD)	30410.5
Skewness	0.45550284
Sum	2.0152749 × 10¹¹
Variance	2.0952762 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20091117	85	0.9%
20091118	48	0.5%
20090609	44	0.4%
20091116	43	0.4%
20090622	42	0.4%
20100927	39	0.4%
20100330	38	0.4%
20100517	36	0.4%
20160812	32	0.3%
20110425	31	0.3%
Other values (3135)	9562	95.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20090518	2	< 0.1%
20090521	3	< 0.1%
20090601	4	< 0.1%
20090602	2	< 0.1%
20090603	10	0.1%
20090604	16	0.2%
20090605	4	< 0.1%
20090608	2	< 0.1%
20090609	44	0.4%
20090610	21	0.2%

Value	Count	Frequency (%)
20240517	1	< 0.1%
20240516	6	0.1%
20240514	4	< 0.1%
20240513	3	< 0.1%
20240510	6	0.1%
20240509	2	< 0.1%
20240508	6	0.1%
20240507	4	< 0.1%
20240503	3	< 0.1%
20240502	7	0.1%

Heatmap
Table

	시군구코드	등록신청사업	영업구분	법인여부	우편번호	등록일자	유효기간만료일자	폐쇄일자	본점여부	최근수정일자
시군구코드	1.000	0.140	0.077	0.311	0.645	0.114	0.133	0.116	0.000	0.144
등록신청사업	0.140	1.000	0.057	0.036	0.000	0.211	0.133	0.175	0.000	0.152
영업구분	0.077	0.057	1.000	0.195	0.037	0.587	0.575	0.203	0.035	0.485
법인여부	0.311	0.036	0.195	1.000	0.089	0.352	0.284	0.279	0.174	0.361
우편번호	0.645	0.000	0.037	0.089	1.000	0.213	0.203	0.160	0.000	0.277
등록일자	0.114	0.211	0.587	0.352	0.213	1.000	0.989	0.937	0.094	0.938
유효기간만료일자	0.133	0.133	0.575	0.284	0.203	0.989	1.000	0.838	0.085	0.841
폐쇄일자	0.116	0.175	0.203	0.279	0.160	0.937	0.838	1.000	0.052	0.985
본점여부	0.000	0.000	0.035	0.174	0.000	0.094	0.085	0.052	1.000	0.115
최근수정일자	0.144	0.152	0.485	0.361	0.277	0.938	0.841	0.985	0.115	1.000

Heatmap
Table

	본점여부	법인여부	등록신청사업	영업구분
본점여부	1.000	0.112	0.000	0.038
법인여부	0.112	1.000	0.023	0.209
등록신청사업	0.000	0.023	1.000	0.061
영업구분	0.038	0.209	0.061	1.000

Heatmap
Table

	시군구코드	우편번호	등록일자	유효기간만료일자	폐쇄일자	최근수정일자	등록신청사업	영업구분	법인여부	본점여부
시군구코드	1.000	0.287	0.067	0.074	0.035	0.072	0.106	0.040	0.235	0.000
우편번호	0.287	1.000	0.018	0.031	0.028	0.015	0.000	0.027	0.052	0.000
등록일자	0.067	0.018	1.000	0.996	0.962	0.965	0.162	0.347	0.270	0.072
유효기간만료일자	0.074	0.031	0.996	1.000	0.963	0.965	0.102	0.350	0.218	0.065
폐쇄일자	0.035	0.028	0.962	0.963	1.000	0.992	0.134	0.118	0.214	0.040
최근수정일자	0.072	0.015	0.965	0.965	0.992	1.000	0.116	0.281	0.277	0.088
등록신청사업	0.106	0.000	0.162	0.102	0.134	0.116	1.000	0.061	0.023	0.000
영업구분	0.040	0.027	0.347	0.350	0.118	0.281	0.061	1.000	0.209	0.038
법인여부	0.235	0.052	0.270	0.218	0.214	0.277	0.023	0.209	1.000	0.112
본점여부	0.000	0.000	0.072	0.065	0.040	0.088	0.000	0.038	0.112	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	등록신청사업	영업구분	등록증번호	상호	법인여부	사업장 전화번호	소재지	소재지(도로명)	우편번호	등록일자	유효기간만료일자	폐쇄일자	지점설립일자	본점여부	최근수정일자
14075	3130000	대부업	폐업	2011-서울마포-0098(대부업)	다전대부	개인	<NA>	서울특별시 마포구 합정동 368번지 28호 2층	<NA>	121220	20110915	20140915	20130219	20110915	본점	20130219
24590	3100000	대부업	폐업	2018-서울노원-00016	SC파이낸스 대부	개인	02-994-8282	서울특별시 노원구 공릉동 684번지 35호	서울특별시 노원구 화랑로 419-15, 4층 (공릉동)	<NA>	20171204	20201204	20190308	20171204	본점	20190313
25716	3170000	대부중개업	폐업	2016-서울금천-00016	디앤씨파트너스대부중개	개인	1644-6101	서울특별시 금천구 가산동 371번지 28호 우림라이온스밸리 제씨-4층-408	서울특별시 금천구 가산디지털1로 168, 제씨-4층 408호 (가산동, 우림라이온스밸리)	<NA>	20161229	20191229	20190409	20140227	본점	20190410
894	3050000	대부업	<NA>	2008-서울특별시-02327(대부업)	아이엔씨 인베스트먼트	개인	<NA>	서울특별시 동대문구 신설동 101-7 동화빌딩 306호	<NA>	<NA>	20080904	20110903	20110905	20080904	본점	20110905
14140	3030000	대부업	직권취소	2012-서울성동-0038	피그뱅크대부업	개인	<NA>	서울특별시 성동구 옥수동 535번지 6호 제지층 제비01호	<NA>	133846	20120904	20150904	20130227	20120904	본점	20130227
747	3120000	<NA>	<NA>	2006-서울특별시-00121	슈퍼골드코인	개인	3754665	서울특별시 서대문구 북가좌동 168-32 303호	<NA>	120811	20060518	<NA>	20090519	20060503	본점	20090609
21934	3210000	대부업	폐업	2016-서울서초-0099(대부업)	행복대부(주)	법인	02-205-2300	서울특별시 서초구 서초동 1666번지 9호	서울특별시 서초구 서초대로54길 29-30, 5층 (서초동, 이레빌딩)	<NA>	20160711	20190711	20170124	20160711	본점	20170124
24358	3050000	대부업	영업중	2021-서울동대문-0008	블루마운틴대부	개인	<NA>	서울특별시 동대문구 제기동 135번지 21호	서울특별시 동대문구 제기로 19-4 (제기동)	<NA>	20240112	20270112	<NA>	20210310	본점	20240112
13297	3230000	대부업	타시군구이관	2012-서울송파-0071(대부업)	한길파이낸스대부	개인	<NA>	서울특별시 송파구 장지동 857번지 1304 송파파인타운13단지아파트-302	<NA>	138949	20120614	20150614	20120828	20120614	본점	20120828
2534	3150000	대부업	직권취소	2010-서울강서-00026(대부업)	다우선물(대부)	개인	<NA>	서울특별시 강서구 염창동 273번지 8호 2층	<NA>	157040	20100331	20130331	20120131	20100331	본점	20120131

	시군구코드	등록신청사업	영업구분	등록증번호	상호	법인여부	사업장 전화번호	소재지	소재지(도로명)	우편번호	등록일자	유효기간만료일자	폐쇄일자	지점설립일자	본점여부	최근수정일자
14065	3130000	대부중개업	타시군구이관	2011-서울마포-0057(대부중개)	주식회사 브레인매터스	법인	<NA>	서울특별시 마포구 도화동 559번지 B 마포트라팰리스-810	<NA>	121040	20110519	20140519	20130215	20110519	본점	20130215
24637	3220000	대부업	유효기간만료	2015-서울강남-0269(대부업)	(주)펀듀대부	법인	070-5001-4954	서울특별시 강남구 논현동 56번지 1호 한걸음빌딩 2층	서울특별시 강남구 강남대로132길 50, 한걸음빌딩 2층 (논현동)	<NA>	20151104	20181104	<NA>	20151104	본점	20181106
15656	3130000	대부업	폐업	2013-서울마포-0076(대부업)	엠엠파이넨셜대부	개인	02-336-3933 010-4156-2079	서울특별시 마포구 동교동 156번지 2호 마젤란21오피스텔-413	<NA>	121816	20130614	20160614	20140217	20130614	본점	20140217
18938	3220000	대부업	폐업	2013-서울강남-0155(대부업)	신용대부캐피탈	개인	9666549	서울특별시 강남구 삼성동 103번지 22호 301 래미안삼성1차아파트-204	서울특별시 강남구 영동대로114길 56, 301동 204호 (삼성동, 래미안삼성1차아파트)	135872	20120507	20150507	20150413	20120507	본점	20150413
27793	3130000	대부업	폐업	2020-서울마포-0035(대부업)	플래티넘대부 주식회사	법인	02-2238-1590	서울특별시 마포구 도화동 173번지 삼창프라자빌딩	서울특별시 마포구 마포대로 63-8, 삼창프라자빌딩 1237호 (도화동)	<NA>	20200728	20230728	20201230	20170922	본점	20201230
26102	3220000	대부중개업	영업중	2019-서울강남-0062(대부중개업)	리얼코리아대부	개인	02-445-9086	서울특별시 강남구 신사동 515번지 11호	서울특별시 강남구 강남대로152길 31, 4층 (신사동)	<NA>	20220418	20250418	<NA>	20190418	본점	20230102
10851	3010000	대부중개업	<NA>	2010-서울중구-0077(대부중개업)	신우투자 대부	개인	02 776 8867	서울특별시 중구 명동2가 2번지 2호 계림빌딩 4층 505호	<NA>	100809	20100430	20130429	20110719	20100430	본점	20110719
22815	3180000	대부중개업	폐업	2020-서울영등포-2049(대부중개업)	주식회사 피비파이낸스대부중개	법인	<NA>	서울특별시 영등포구 문래동3가 55번지 20호 에이스하이테크시티-325	서울특별시 영등포구 경인로 775, 에이스하이테크시티 1동 325호 (문래동3가)	<NA>	20200506	20230506	20211207	20200506	본점	20211208
26525	3220000	대부업	영업중	2021-서울강남-0045(대부업)	주식회사 씨제이캐피탈대부	법인	<NA>	서울특별시 강남구 역삼동 648번지 1호	서울특별시 강남구 테헤란로7길 8, 310호 (역삼동)	<NA>	20210225	20240225	<NA>	20210225	본점	20240216
8954	3180000	대부업	<NA>	2008-서울특별시-01283(대부업)	성은	개인	0226723517	서울특별시 영등포구 당산동 121-58 인따빌딩내 지상 402호, 403호 404호	<NA>	<NA>	20080303	<NA>	20091116	<NA>	본점	20091118

Overview

Variables

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Dash Punctuation

Open Punctuation

Close Punctuation

Space Separator

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Lowercase Letter

Decimal Number

Other Punctuation

Close Punctuation

Space Separator

Open Punctuation

Dash Punctuation

Other Symbol

Math Symbol

Letter Number

Most occurring scripts

Most frequent character per script

Hangul

Latin

Common

Han

Most occurring blocks

Most frequent character per block

Hangul

ASCII

None

CJK

Compat Jamo

Number Forms

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Other Punctuation

Uppercase Letter

Dash Punctuation

Space Separator

Close Punctuation

Math Symbol

Open Punctuation

Modifier Symbol

Most occurring scripts

Most frequent character per script

Common

Hangul

Latin

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Most occurring characters