gimi9 Pandas Profiling

Dataset statistics

Number of variables	15
Number of observations	10000
Missing cells	19248
Missing cells (%)	12.8%
Duplicate rows	1
Duplicate rows (%)	< 0.1%
Total size in memory	1.3 MiB
Average record size in memory	133.0 B

Variable types

Categorical	4
Text	5
Numeric	6

Dataset

Description	등록신청사업,영업구분,등록증번호,상호,법인여부,사업장 전화번호,소재지,소재지(도로명),우편번호,등록일자,유효기간만료일자,폐쇄일자,지점설립일자,본점여부,최근수정일자
Author	도봉구
URL	https://data.seoul.go.kr/dataList/OA-10096/S/1/datasetView.do

Alerts

Dataset has 1 (< 0.1%) duplicate rows	Duplicates
`등록일자` is highly overall correlated with `유효기간만료일자` and 3 other fields	High correlation
`유효기간만료일자` is highly overall correlated with `등록일자` and 3 other fields	High correlation
`폐쇄일자` is highly overall correlated with `등록일자` and 3 other fields	High correlation
`지점설립일자` is highly overall correlated with `등록일자` and 3 other fields	High correlation
`최근수정일자` is highly overall correlated with `등록일자` and 3 other fields	High correlation
`본점여부` is highly imbalanced (94.6%)	Imbalance
`등록증번호` has 201 (2.0%) missing values	Missing
`사업장 전화번호` has 3391 (33.9%) missing values	Missing
`소재지` has 279 (2.8%) missing values	Missing
`소재지(도로명)` has 4855 (48.5%) missing values	Missing
`우편번호` has 5558 (55.6%) missing values	Missing
`유효기간만료일자` has 2049 (20.5%) missing values	Missing
`폐쇄일자` has 1646 (16.5%) missing values	Missing
`지점설립일자` has 1269 (12.7%) missing values	Missing

Reproduction

Analysis started	2024-05-18 03:57:40.457004
Analysis finished	2024-05-18 03:59:55.102406
Duration	2 minutes and 14.65 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

등록신청사업
Categorical

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

대부업	6295
대부중개업	3286
<NA>	419

Length

Max length	5
Median length	3
Mean length	3.6991
Min length	3

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
대부업	6295	62.9%
대부중개업	3286	32.9%
<NA>	419	4.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
대부업	6295	62.9%
대부중개업	3286	32.9%
na	419	4.2%

영업구분
Categorical

Distinct	7
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

폐업	3655
<NA>	2883
타시군구이관	1226
영업중	852
유효기간만료	819
Other values (2)	565

Length

Max length	6
Median length	4
Mean length	3.5932
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
폐업	3655	36.5%
<NA>	2883	28.8%
타시군구이관	1226	12.3%
영업중	852	8.5%
유효기간만료	819	8.2%
직권취소	563	5.6%
갱신등록불가	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
폐업	3655	36.5%
na	2883	28.8%
타시군구이관	1226	12.3%
영업중	852	8.5%
유효기간만료	819	8.2%
직권취소	563	5.6%
갱신등록불가	2	< 0.1%

등록증번호
Text

MISSING

Distinct	9729
Distinct (%)	99.3%
Missing	201
Missing (%)	2.0%
Memory size	156.2 KiB

Length

Max length	28
Median length	27
Mean length	19.509338
Min length	10

Characters and Unicode

Total characters	191172
Distinct characters	83
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	9662 ?
Unique (%)	98.6%

Sample

1st row	2012-서울강남-0226(대부업)
2nd row	2012-서울노원-00016(대부업)
3rd row	2011-서울영등포-0221(대부업)
4th row	2018-서울은평-0004(대부업)
5th row	2017-서울강동-00036

Value	Count	Frequency (%)
2011-서울특별시	18	0.2%
2010-서울	16	0.2%
2012-서울특별시	16	0.2%
2013-서울특별시	16	0.2%
대부업	13	0.1%
2014-서울특별시	11	0.1%
2015-서울특별시	8	0.1%
2016-서울특별시	7	0.1%
성북구-00004	7	0.1%
2018-서울특별시	7	0.1%
Other values (9694)	9836	98.8%

Most occurring characters

Value	Count	Frequency (%)
0	33868	17.7%
-	19588	10.2%
2	15763	8.2%
1	11872	6.2%
서	10859	5.7%
울	9771	5.1%
대	8494	4.4%
(	8191	4.3%
부	8159	4.3%
)	8137	4.3%
Other values (73)	56470	29.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	82426	43.1%
Other Letter	72673	38.0%
Dash Punctuation	19588	10.2%
Open Punctuation	8191	4.3%
Close Punctuation	8137	4.3%
Space Separator	157	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
서	10859	14.9%
울	9771	13.4%
대	8494	11.7%
부	8159	11.2%
업	7908	10.9%
중	3491	4.8%
개	2837	3.9%
시	2485	3.4%
별	2476	3.4%
특	2475	3.4%
Other values (59)	13718	18.9%

Decimal Number

Value	Count	Frequency (%)
0	33868	41.1%
2	15763	19.1%
1	11872	14.4%
3	3765	4.6%
8	3017	3.7%
4	3008	3.6%
7	2844	3.5%
9	2789	3.4%
5	2770	3.4%
6	2730	3.3%

Dash Punctuation

Value	Count	Frequency (%)
-	19588	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	8191	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	8137	100.0%

Space Separator

Value	Count	Frequency (%)
	157	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	118499	62.0%
Hangul	72673	38.0%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
서	10859	14.9%
울	9771	13.4%
대	8494	11.7%
부	8159	11.2%
업	7908	10.9%
중	3491	4.8%
개	2837	3.9%
시	2485	3.4%
별	2476	3.4%
특	2475	3.4%
Other values (59)	13718	18.9%

Common

Value	Count	Frequency (%)
0	33868	28.6%
-	19588	16.5%
2	15763	13.3%
1	11872	10.0%
(	8191	6.9%
)	8137	6.9%
3	3765	3.2%
8	3017	2.5%
4	3008	2.5%
7	2844	2.4%
Other values (4)	8446	7.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	118499	62.0%
Hangul	72673	38.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	33868	28.6%
-	19588	16.5%
2	15763	13.3%
1	11872	10.0%
(	8191	6.9%
)	8137	6.9%
3	3765	3.2%
8	3017	2.5%
4	3008	2.5%
7	2844	2.4%
Other values (4)	8446	7.1%

Hangul

Value	Count	Frequency (%)
서	10859	14.9%
울	9771	13.4%
대	8494	11.7%
부	8159	11.2%
업	7908	10.9%
중	3491	4.8%
개	2837	3.9%
시	2485	3.4%
별	2476	3.4%
특	2475	3.4%
Other values (59)	13718	18.9%

상호
Text

Distinct	8658
Distinct (%)	86.6%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	40
Median length	25
Mean length	7.7534
Min length	1

Characters and Unicode

Total characters	77534
Distinct characters	772
Distinct categories	13 ?
Distinct scripts	4 ?
Distinct blocks	5 ?

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

Unique

Unique	7582 ?
Unique (%)	75.8%

Sample

1st row	브루스대부
2nd row	조은친구대부
3rd row	H?K대부
4th row	모기지론114대부
5th row	리츠코리아대부중개

Value	Count	Frequency (%)
주식회사	813	6.8%
대부중개	318	2.7%
대부	297	2.5%
유한회사	59	0.5%
캐피탈	27	0.2%
대부업	16	0.1%
money	14	0.1%
전당포	13	0.1%
loan	13	0.1%
미래	12	0.1%
Other values (8680)	10384	86.8%

Most occurring characters

Value	Count	Frequency (%)
대	8525	11.0%
부	8138	10.5%
주	2713	3.5%
이	2253	2.9%
개	2030	2.6%
중	2010	2.6%
	1970	2.5%
)	1879	2.4%
스	1870	2.4%
(	1869	2.4%
Other values (762)	44277	57.1%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	67671	87.3%
Uppercase Letter	2398	3.1%
Space Separator	1970	2.5%
Close Punctuation	1879	2.4%
Open Punctuation	1869	2.4%
Lowercase Letter	1187	1.5%
Decimal Number	259	0.3%
Other Punctuation	246	0.3%
Dash Punctuation	38	< 0.1%
Other Symbol	13	< 0.1%
Other values (3)	4	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
대	8525	12.6%
부	8138	12.0%
주	2713	4.0%
이	2253	3.3%
개	2030	3.0%
중	2010	3.0%
스	1870	2.8%
사	1319	1.9%
피	1106	1.6%
회	1020	1.5%
Other values (685)	36687	54.2%

Uppercase Letter

Value	Count	Frequency (%)
S	310	12.9%
K	207	8.6%
J	184	7.7%
C	179	7.5%
M	176	7.3%
H	122	5.1%
B	104	4.3%
T	99	4.1%
D	94	3.9%
E	93	3.9%
Other values (16)	830	34.6%

Lowercase Letter

Value	Count	Frequency (%)
e	147	12.4%
o	137	11.5%
n	128	10.8%
a	115	9.7%
t	76	6.4%
s	71	6.0%
i	66	5.6%
l	57	4.8%
c	49	4.1%
r	49	4.1%
Other values (15)	292	24.6%

Decimal Number

Value	Count	Frequency (%)
1	73	28.2%
2	47	18.1%
4	39	15.1%
3	24	9.3%
5	23	8.9%
6	16	6.2%
9	16	6.2%
0	10	3.9%
7	9	3.5%
8	2	0.8%

Other Punctuation

Value	Count	Frequency (%)
.	141	57.3%
&	89	36.2%
,	7	2.8%
?	5	2.0%
/	1	0.4%
'	1	0.4%
*	1	0.4%
？	1	0.4%

Space Separator

Value	Count	Frequency (%)
	1970	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1879	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1869	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	38	100.0%

Other Symbol

Value	Count	Frequency (%)
㈜	13	100.0%

Math Symbol

Value	Count	Frequency (%)
~	2	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	1	100.0%

Letter Number

Value	Count	Frequency (%)
Ⅱ	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	67667	87.3%
Common	6264	8.1%
Latin	3586	4.6%
Han	17	< 0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
대	8525	12.6%
부	8138	12.0%
주	2713	4.0%
이	2253	3.3%
개	2030	3.0%
중	2010	3.0%
스	1870	2.8%
사	1319	1.9%
피	1106	1.6%
회	1020	1.5%
Other values (672)	36683	54.2%

Latin

Value	Count	Frequency (%)
S	310	8.6%
K	207	5.8%
J	184	5.1%
C	179	5.0%
M	176	4.9%
e	147	4.1%
o	137	3.8%
n	128	3.6%
H	122	3.4%
a	115	3.2%
Other values (42)	1881	52.5%

Common

Value	Count	Frequency (%)
	1970	31.4%
)	1879	30.0%
(	1869	29.8%
.	141	2.3%
&	89	1.4%
1	73	1.2%
2	47	0.8%
4	39	0.6%
-	38	0.6%
3	24	0.4%
Other values (14)	95	1.5%

Han

Value	Count	Frequency (%)
成	2	11.8%
福	2	11.8%
田	2	11.8%
百	1	5.9%
潤	1	5.9%
宙	1	5.9%
萬	1	5.9%
地	1	5.9%
天	1	5.9%
大	1	5.9%
Other values (4)	4	23.5%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	67654	87.3%
ASCII	9848	12.7%
CJK	17	< 0.1%
None	14	< 0.1%
Number Forms	1	< 0.1%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
대	8525	12.6%
부	8138	12.0%
주	2713	4.0%
이	2253	3.3%
개	2030	3.0%
중	2010	3.0%
스	1870	2.8%
사	1319	1.9%
피	1106	1.6%
회	1020	1.5%
Other values (671)	36670	54.2%

ASCII

Value	Count	Frequency (%)
	1970	20.0%
)	1879	19.1%
(	1869	19.0%
S	310	3.1%
K	207	2.1%
J	184	1.9%
C	179	1.8%
M	176	1.8%
e	147	1.5%
.	141	1.4%
Other values (64)	2786	28.3%

None

Value	Count	Frequency (%)
㈜	13	92.9%
？	1	7.1%

CJK

Value	Count	Frequency (%)
成	2	11.8%
福	2	11.8%
田	2	11.8%
百	1	5.9%
潤	1	5.9%
宙	1	5.9%
萬	1	5.9%
地	1	5.9%
天	1	5.9%
大	1	5.9%
Other values (4)	4	23.5%

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	7191
법인	2809

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	7191	71.9%
법인	2809	28.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
개인	7191	71.9%
법인	2809	28.1%

사업장 전화번호
Text

MISSING

Distinct	5819
Distinct (%)	88.0%
Missing	3391
Missing (%)	33.9%
Memory size	156.2 KiB

Length

Max length	40
Median length	39
Mean length	10.620669
Min length	1

Characters and Unicode

Total characters	70192
Distinct characters	36
Distinct categories	9 ?
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	5201 ?
Unique (%)	78.7%

Sample

1st row	02-955-5279
2nd row	02-6677-6855
3rd row	02-6246-0902
4th row	025675071
5th row	02-537-9339

Value	Count	Frequency (%)
02	285	3.8%
070	50	0.7%
	50	0.7%
010	8	0.1%
927	7	0.1%
1566	6	0.1%
025117185	6	0.1%
02-6272-0055	5	0.1%
434	5	0.1%
1599	5	0.1%
Other values (6130)	7004	94.3%

Most occurring characters

Value	Count	Frequency (%)
0	11498	16.4%
2	10337	14.7%
-	7190	10.2%
5	5936	8.5%
7	5554	7.9%
1	5055	7.2%
6	5014	7.1%
3	4833	6.9%
8	4823	6.9%
4	4775	6.8%
Other values (26)	5177	7.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	61813	88.1%
Dash Punctuation	7190	10.2%
Space Separator	921	1.3%
Other Punctuation	116	0.2%
Close Punctuation	71	0.1%
Math Symbol	27	< 0.1%
Open Punctuation	24	< 0.1%
Other Letter	20	< 0.1%
Uppercase Letter	10	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
음	2	10.0%
미	2	10.0%
없	2	10.0%
록	2	10.0%
등	2	10.0%
메	1	5.0%
타	1	5.0%
허	1	5.0%
브	1	5.0%
대	1	5.0%
Other values (5)	5	25.0%

Decimal Number

Value	Count	Frequency (%)
0	11498	18.6%
2	10337	16.7%
5	5936	9.6%
7	5554	9.0%
1	5055	8.2%
6	5014	8.1%
3	4833	7.8%
8	4823	7.8%
4	4775	7.7%
9	3988	6.5%

Other Punctuation

Value	Count	Frequency (%)
*	57	49.1%
/	37	31.9%
.	22	19.0%

Uppercase Letter

Value	Count	Frequency (%)
K	5	50.0%
T	4	40.0%
S	1	10.0%

Dash Punctuation

Value	Count	Frequency (%)
-	7190	100.0%

Space Separator

Value	Count	Frequency (%)
	921	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	71	100.0%

Math Symbol

Value	Count	Frequency (%)
~	27	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	24	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	70162	> 99.9%
Hangul	20	< 0.1%
Latin	10	< 0.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11498	16.4%
2	10337	14.7%
-	7190	10.2%
5	5936	8.5%
7	5554	7.9%
1	5055	7.2%
6	5014	7.1%
3	4833	6.9%
8	4823	6.9%
4	4775	6.8%
Other values (8)	5147	7.3%

Hangul

Value	Count	Frequency (%)
음	2	10.0%
미	2	10.0%
없	2	10.0%
록	2	10.0%
등	2	10.0%
메	1	5.0%
타	1	5.0%
허	1	5.0%
브	1	5.0%
대	1	5.0%
Other values (5)	5	25.0%

Latin

Value	Count	Frequency (%)
K	5	50.0%
T	4	40.0%
S	1	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	70172	> 99.9%
Hangul	20	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11498	16.4%
2	10337	14.7%
-	7190	10.2%
5	5936	8.5%
7	5554	7.9%
1	5055	7.2%
6	5014	7.1%
3	4833	6.9%
8	4823	6.9%
4	4775	6.8%
Other values (11)	5157	7.3%

Hangul

Value	Count	Frequency (%)
음	2	10.0%
미	2	10.0%
없	2	10.0%
록	2	10.0%
등	2	10.0%
메	1	5.0%
타	1	5.0%
허	1	5.0%
브	1	5.0%
대	1	5.0%
Other values (5)	5	25.0%

소재지
Text

MISSING

Distinct	8677
Distinct (%)	89.3%
Missing	279
Missing (%)	2.8%
Memory size	156.2 KiB

Length

Max length	65
Median length	49
Mean length	31.513527
Min length	15

Characters and Unicode

Total characters	306343
Distinct characters	618
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	7922 ?
Unique (%)	81.5%

Sample

1st row	서울특별시 강남구 역삼동 736번지 24호 LG에클라트-1113
2nd row	서울특별시 노원구 중계동 148-13
3rd row	서울특별시 영등포구 신길동 182번지 17호
4th row	서울특별시 은평구 진관동 100번지 3호 아이파크포레스트게이트-1202
5th row	서울특별시 강동구 성내동 77번지 21호 -303

Value	Count	Frequency (%)
서울특별시	9718	16.9%
강남구	1614	2.8%
서초구	969	1.7%
1호	733	1.3%
역삼동	690	1.2%
송파구	597	1.0%
서초동	583	1.0%
중구	581	1.0%
2호	464	0.8%
영등포구	436	0.8%
Other values (9463)	40968	71.4%

Most occurring characters

Value	Count	Frequency (%)
	67909	22.2%
1	13541	4.4%
서	12057	3.9%
동	11145	3.6%
구	10466	3.4%
시	9967	3.3%
울	9778	3.2%
별	9732	3.2%
특	9720	3.2%
2	8917	2.9%
Other values (608)	143111	46.7%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	167474	54.7%
Space Separator	67909	22.2%
Decimal Number	63663	20.8%
Dash Punctuation	5550	1.8%
Uppercase Letter	1175	0.4%
Other Punctuation	239	0.1%
Lowercase Letter	126	< 0.1%
Close Punctuation	92	< 0.1%
Open Punctuation	88	< 0.1%
Letter Number	24	< 0.1%
Other values (2)	3	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
서	12057	7.2%
동	11145	6.7%
구	10466	6.2%
시	9967	6.0%
울	9778	5.8%
별	9732	5.8%
특	9720	5.8%
호	8587	5.1%
지	8480	5.1%
번	7945	4.7%
Other values (534)	69597	41.6%

Uppercase Letter

Value	Count	Frequency (%)
B	273	23.2%
A	231	19.7%
S	84	7.1%
D	77	6.6%
L	51	4.3%
I	51	4.3%
T	50	4.3%
C	43	3.7%
K	43	3.7%
G	38	3.2%
Other values (16)	234	19.9%

Lowercase Letter

Value	Count	Frequency (%)
e	23	18.3%
i	14	11.1%
n	12	9.5%
r	10	7.9%
l	8	6.3%
t	8	6.3%
o	7	5.6%
a	6	4.8%
c	6	4.8%
k	5	4.0%
Other values (12)	27	21.4%

Decimal Number

Value	Count	Frequency (%)
1	13541	21.3%
2	8917	14.0%
0	8109	12.7%
3	7033	11.0%
4	5838	9.2%
5	4949	7.8%
6	4430	7.0%
7	4071	6.4%
9	3457	5.4%
8	3318	5.2%

Other Punctuation

Value	Count	Frequency (%)
/	90	37.7%
,	77	32.2%
.	64	26.8%
#	2	0.8%
@	2	0.8%
？	2	0.8%
&	2	0.8%

Letter Number

Value	Count	Frequency (%)
Ⅱ	14	58.3%
Ⅰ	8	33.3%
Ⅲ	2	8.3%

Space Separator

Value	Count	Frequency (%)
	67909	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	5550	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	92	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	88	100.0%

Math Symbol

Value	Count	Frequency (%)
~	2	100.0%

Other Number

Value	Count	Frequency (%)
½	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	167472	54.7%
Common	137544	44.9%
Latin	1325	0.4%
Han	2	< 0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
서	12057	7.2%
동	11145	6.7%
구	10466	6.2%
시	9967	6.0%
울	9778	5.8%
별	9732	5.8%
특	9720	5.8%
호	8587	5.1%
지	8480	5.1%
번	7945	4.7%
Other values (532)	69595	41.6%

Latin

Value	Count	Frequency (%)
B	273	20.6%
A	231	17.4%
S	84	6.3%
D	77	5.8%
L	51	3.8%
I	51	3.8%
T	50	3.8%
C	43	3.2%
K	43	3.2%
G	38	2.9%
Other values (41)	384	29.0%

Common

Value	Count	Frequency (%)
	67909	49.4%
1	13541	9.8%
2	8917	6.5%
0	8109	5.9%
3	7033	5.1%
4	5838	4.2%
-	5550	4.0%
5	4949	3.6%
6	4430	3.2%
7	4071	3.0%
Other values (13)	7197	5.2%

Han

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

Most occurring blocks

Value	Count	Frequency (%)
Hangul	167472	54.7%
ASCII	138842	45.3%
Number Forms	24	< 0.1%
None	3	< 0.1%
CJK	1	< 0.1%
CJK Compat Ideographs	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	67909	48.9%
1	13541	9.8%
2	8917	6.4%
0	8109	5.8%
3	7033	5.1%
4	5838	4.2%
-	5550	4.0%
5	4949	3.6%
6	4430	3.2%
7	4071	2.9%
Other values (59)	8495	6.1%

Hangul

Value	Count	Frequency (%)
서	12057	7.2%
동	11145	6.7%
구	10466	6.2%
시	9967	6.0%
울	9778	5.8%
별	9732	5.8%
특	9720	5.8%
호	8587	5.1%
지	8480	5.1%
번	7945	4.7%
Other values (532)	69595	41.6%

Number Forms

Value	Count	Frequency (%)
Ⅱ	14	58.3%
Ⅰ	8	33.3%
Ⅲ	2	8.3%

None

Value	Count	Frequency (%)
？	2	66.7%
½	1	33.3%

CJK

Value	Count	Frequency (%)
塘	1	100.0%

CJK Compat Ideographs

Value	Count	Frequency (%)
金	1	100.0%

소재지(도로명)
Text

MISSING

Distinct	4711
Distinct (%)	91.6%
Missing	4855
Missing (%)	48.5%
Memory size	156.2 KiB

Length

Max length	67
Median length	53
Mean length	37.147328
Min length	20

Characters and Unicode

Total characters	191123
Distinct characters	619
Distinct categories	11 ?
Distinct scripts	4 ?
Distinct blocks	5 ?

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

Unique

Unique	4315 ?
Unique (%)	83.9%

Sample

1st row	서울특별시 은평구 통일로 1010, 아이파크포레스트게이트 12층 1202호 (진관동)
2nd row	서울특별시 강동구 올림픽로62길 9-15, 303호 (성내동)
3rd row	서울특별시 서대문구 서소문로 37, 지하1층 127호 (합동, 충정로대우디오빌)
4th row	서울특별시 관악구 남부순환로 1652, 지층 (신림동)
5th row	서울특별시 서초구 서초대로 254, 714호 (서초동, 오퓨런스)

Value	Count	Frequency (%)
서울특별시	5144	14.1%
강남구	939	2.6%
서초구	586	1.6%
2층	449	1.2%
역삼동	382	1.0%
서초동	374	1.0%
3층	360	1.0%
송파구	323	0.9%
4층	306	0.8%
영등포구	302	0.8%
Other values (6587)	27280	74.9%

Most occurring characters

Value	Count	Frequency (%)
	31315	16.4%
1	7342	3.8%
,	7004	3.7%
서	6830	3.6%
동	6648	3.5%
로	5682	3.0%
구	5627	2.9%
시	5333	2.8%
2	5252	2.7%
울	5202	2.7%
Other values (609)	104888	54.9%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	106441	55.7%
Decimal Number	34027	17.8%
Space Separator	31315	16.4%
Other Punctuation	7018	3.7%
Open Punctuation	5186	2.7%
Close Punctuation	5186	2.7%
Dash Punctuation	1016	0.5%
Uppercase Letter	793	0.4%
Lowercase Letter	105	0.1%
Letter Number	25	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
서	6830	6.4%
동	6648	6.2%
로	5682	5.3%
구	5627	5.3%
시	5333	5.0%
울	5202	4.9%
별	5154	4.8%
특	5145	4.8%
호	4208	4.0%
길	2747	2.6%
Other values (537)	53865	50.6%

Uppercase Letter

Value	Count	Frequency (%)
B	161	20.3%
A	126	15.9%
S	70	8.8%
L	50	6.3%
G	39	4.9%
E	39	4.9%
C	39	4.9%
I	37	4.7%
T	37	4.7%
K	30	3.8%
Other values (16)	165	20.8%

Lowercase Letter

Value	Count	Frequency (%)
e	21	20.0%
r	12	11.4%
i	11	10.5%
w	9	8.6%
n	9	8.6%
o	9	8.6%
t	8	7.6%
c	5	4.8%
l	5	4.8%
z	2	1.9%
Other values (9)	14	13.3%

Decimal Number

Value	Count	Frequency (%)
1	7342	21.6%
2	5252	15.4%
0	4368	12.8%
3	4084	12.0%
4	2912	8.6%
5	2715	8.0%
6	2171	6.4%
7	1907	5.6%
8	1741	5.1%
9	1535	4.5%

Other Punctuation

Value	Count	Frequency (%)
,	7004	99.8%
.	5	0.1%
@	3	< 0.1%
/	2	< 0.1%
&	2	< 0.1%
?	1	< 0.1%
？	1	< 0.1%

Letter Number

Value	Count	Frequency (%)
Ⅱ	13	52.0%
Ⅰ	8	32.0%
Ⅲ	4	16.0%

Math Symbol

Value	Count	Frequency (%)
~	9	81.8%
<	1	9.1%
>	1	9.1%

Space Separator

Value	Count	Frequency (%)
	31315	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	5186	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	5186	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1016	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	106440	55.7%
Common	83759	43.8%
Latin	923	0.5%
Han	1	< 0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
서	6830	6.4%
동	6648	6.2%
로	5682	5.3%
구	5627	5.3%
시	5333	5.0%
울	5202	4.9%
별	5154	4.8%
특	5145	4.8%
호	4208	4.0%
길	2747	2.6%
Other values (536)	53864	50.6%

Latin

Value	Count	Frequency (%)
B	161	17.4%
A	126	13.7%
S	70	7.6%
L	50	5.4%
G	39	4.2%
E	39	4.2%
C	39	4.2%
I	37	4.0%
T	37	4.0%
K	30	3.3%
Other values (38)	295	32.0%

Common

Value	Count	Frequency (%)
	31315	37.4%
1	7342	8.8%
,	7004	8.4%
2	5252	6.3%
(	5186	6.2%
)	5186	6.2%
0	4368	5.2%
3	4084	4.9%
4	2912	3.5%
5	2715	3.2%
Other values (14)	8395	10.0%

Han

Value	Count	Frequency (%)
家	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	106440	55.7%
ASCII	84656	44.3%
Number Forms	25	< 0.1%
CJK	1	< 0.1%
None	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	31315	37.0%
1	7342	8.7%
,	7004	8.3%
2	5252	6.2%
(	5186	6.1%
)	5186	6.1%
0	4368	5.2%
3	4084	4.8%
4	2912	3.4%
5	2715	3.2%
Other values (58)	9292	11.0%

Hangul

Value	Count	Frequency (%)
서	6830	6.4%
동	6648	6.2%
로	5682	5.3%
구	5627	5.3%
시	5333	5.0%
울	5202	4.9%
별	5154	4.8%
특	5145	4.8%
호	4208	4.0%
길	2747	2.6%
Other values (536)	53864	50.6%

Number Forms

Value	Count	Frequency (%)
Ⅱ	13	52.0%
Ⅰ	8	32.0%
Ⅲ	4	16.0%

CJK

Value	Count	Frequency (%)
家	1	100.0%

None

Value	Count	Frequency (%)
？	1	100.0%

우편번호
Real number (ℝ)

MISSING

Distinct	1341
Distinct (%)	30.2%
Missing	5558
Missing (%)	55.6%
Infinite	0
Infinite (%)	0.0%
Mean	136201.67

Minimum	2519
Maximum	410762
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	2519
5-th percentile	100855.2
Q1	132030
median	136066.5
Q3	143150
95-th percentile	157031.95
Maximum	410762
Range	408243
Interquartile range (IQR)	11120

Descriptive statistics

Standard deviation	15704.376
Coefficient of variation (CV)	0.11530238
Kurtosis	47.799126
Mean	136201.67
Median Absolute Deviation (MAD)	5196.5
Skewness	0.82166241
Sum	6.050078 × 10⁸
Variance	2.4662743 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
135080	169	1.7%
137070	145	1.5%
135010	73	0.7%
157010	58	0.6%
151050	51	0.5%
152050	48	0.5%
151015	46	0.5%
158070	45	0.4%
142070	41	0.4%
139200	40	0.4%
Other values (1331)	3726	37.3%
(Missing)	5558	55.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2519	1	< 0.1%
3163	1	< 0.1%
4536	1	< 0.1%
4538	1	< 0.1%
4554	1	< 0.1%
5510	1	< 0.1%
7327	1	< 0.1%
14538	1	< 0.1%
100011	7	0.1%
100012	1	< 0.1%

Value	Count	Frequency (%)
410762	1	< 0.1%
403866	1	< 0.1%
158865	1	< 0.1%
158864	5	0.1%
158860	6	0.1%
158859	2	< 0.1%
158858	1	< 0.1%
158842	1	< 0.1%
158841	1	< 0.1%
158839	1	< 0.1%

등록일자
Real number (ℝ)

HIGH CORRELATION

Distinct	3507
Distinct (%)	35.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20136751

Minimum	20060306
Maximum	20240516
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	20060306
5-th percentile	20070809
Q1	20091202
median	20130214
Q3	20170725
95-th percentile	20230306
Maximum	20240516
Range	180210
Interquartile range (IQR)	79523.25

Descriptive statistics

Standard deviation	49211.822
Coefficient of variation (CV)	0.002443881
Kurtosis	-0.89582664
Mean	20136751
Median Absolute Deviation (MAD)	39492
Skewness	0.47972699
Sum	2.0136751 × 10¹¹
Variance	2.4218034 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20080814	28	0.3%
20080818	22	0.2%
20080731	21	0.2%
20090611	19	0.2%
20090514	18	0.2%
20081222	17	0.2%
20080822	16	0.2%
20090511	16	0.2%
20110711	15	0.1%
20080926	14	0.1%
Other values (3497)	9814	98.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20060306	3	< 0.1%
20060310	1	< 0.1%
20060320	3	< 0.1%
20060324	2	< 0.1%
20060329	3	< 0.1%
20060331	1	< 0.1%
20060405	1	< 0.1%
20060407	4	< 0.1%
20060410	3	< 0.1%
20060418	1	< 0.1%

Value	Count	Frequency (%)
20240516	1	< 0.1%
20240514	1	< 0.1%
20240513	1	< 0.1%
20240510	1	< 0.1%
20240507	3	< 0.1%
20240503	2	< 0.1%
20240502	2	< 0.1%
20240430	1	< 0.1%
20240425	2	< 0.1%
20240424	5	0.1%

유효기간만료일자
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	3268
Distinct (%)	41.1%
Missing	2049
Missing (%)	20.5%
Infinite	0
Infinite (%)	0.0%
Mean	20181270

Minimum	20090514
Maximum	20270516
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	20090514
5-th percentile	20120318
Q1	20141005
median	20171107
Q3	20220226
95-th percentile	20260516
Maximum	20270516
Range	180002
Interquartile range (IQR)	79220.5

Descriptive statistics

Standard deviation	44997.686
Coefficient of variation (CV)	0.0022296756
Kurtosis	-0.99345912
Mean	20181270
Median Absolute Deviation (MAD)	30506
Skewness	0.34588833
Sum	1.6046128 × 10¹¹
Variance	2.0247918 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20140711	15	0.1%
20140808	12	0.1%
20140831	11	0.1%
20200511	11	0.1%
20150531	11	0.1%
20110831	11	0.1%
20140425	11	0.1%
20150425	10	0.1%
20150109	10	0.1%
20140622	10	0.1%
Other values (3258)	7839	78.4%
(Missing)	2049	20.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20090514	1	< 0.1%
20090907	1	< 0.1%
20091116	2	< 0.1%
20091220	1	< 0.1%
20100323	1	< 0.1%
20100411	1	< 0.1%
20100418	2	< 0.1%
20100426	1	< 0.1%
20100501	1	< 0.1%
20100511	1	< 0.1%

Value	Count	Frequency (%)
20270516	1	< 0.1%
20270514	1	< 0.1%
20270513	1	< 0.1%
20270510	1	< 0.1%
20270507	2	< 0.1%
20270506	1	< 0.1%
20270503	2	< 0.1%
20270502	2	< 0.1%
20270430	1	< 0.1%
20270425	2	< 0.1%

폐쇄일자
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	3110
Distinct (%)	37.2%
Missing	1646
Missing (%)	16.5%
Infinite	0
Infinite (%)	0.0%
Mean	20141538

Minimum	20060920
Maximum	20240516
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	20060920
5-th percentile	20090916
Q1	20110329
median	20130712
Q3	20170206
95-th percentile	20221218
Maximum	20240516
Range	179596
Interquartile range (IQR)	59877

Descriptive statistics

Standard deviation	40856.69
Coefficient of variation (CV)	0.0020284791
Kurtosis	-0.46441062
Mean	20141538
Median Absolute Deviation (MAD)	29782
Skewness	0.73457277
Sum	1.6826241 × 10¹¹
Variance	1.6692691 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20091116	190	1.9%
20100927	56	0.6%
20101213	22	0.2%
20111108	20	0.2%
20160725	19	0.2%
20130529	18	0.2%
20110627	17	0.2%
20110420	16	0.2%
20121218	15	0.1%
20170124	15	0.1%
Other values (3100)	7966	79.7%
(Missing)	1646	16.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20060920	2	< 0.1%
20071115	1	< 0.1%
20081212	1	< 0.1%
20090219	1	< 0.1%
20090220	1	< 0.1%
20090305	1	< 0.1%
20090307	3	< 0.1%
20090309	3	< 0.1%
20090311	4	< 0.1%
20090312	2	< 0.1%

Value	Count	Frequency (%)
20240516	2	< 0.1%
20240514	1	< 0.1%
20240513	2	< 0.1%
20240508	1	< 0.1%
20240507	1	< 0.1%
20240503	1	< 0.1%
20240501	1	< 0.1%
20240430	2	< 0.1%
20240429	1	< 0.1%
20240426	1	< 0.1%

지점설립일자
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	3522
Distinct (%)	40.3%
Missing	1269
Missing (%)	12.7%
Infinite	0
Infinite (%)	0.0%
Mean	20135080

Minimum	19560711
Maximum	20240514
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	19560711
5-th percentile	20070106
Q1	20100426
median	20130404
Q3	20170414
95-th percentile	20220609
Maximum	20240514
Range	679803
Interquartile range (IQR)	69988

Descriptive statistics

Standard deviation	48176.514
Coefficient of variation (CV)	0.0023926656
Kurtosis	2.9859726
Mean	20135080
Median Absolute Deviation (MAD)	30609
Skewness	-0.12070799
Sum	1.7579939 × 10¹¹
Variance	2.3209765 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20090514	23	0.2%
20090611	22	0.2%
20090511	21	0.2%
20090528	19	0.2%
20090520	19	0.2%
20090820	18	0.2%
20090512	15	0.1%
20090507	14	0.1%
20090722	14	0.1%
20090605	13	0.1%
Other values (3512)	8553	85.5%
(Missing)	1269	12.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
19560711	1	< 0.1%
19770919	3	< 0.1%
19840618	1	< 0.1%
19850312	1	< 0.1%
19880322	1	< 0.1%
19940418	1	< 0.1%
19950501	1	< 0.1%
19960327	1	< 0.1%
19970221	1	< 0.1%
19970410	1	< 0.1%

Value	Count	Frequency (%)
20240514	1	< 0.1%
20240510	1	< 0.1%
20240502	2	< 0.1%
20240430	1	< 0.1%
20240425	2	< 0.1%
20240422	2	< 0.1%
20240419	1	< 0.1%
20240411	2	< 0.1%
20240409	3	< 0.1%
20240408	1	< 0.1%

본점여부
Categorical

IMBALANCE

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

본점	9938
지점	62

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	9938	99.4%
지점	62	0.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
본점	9938	99.4%
지점	62	0.6%

최근수정일자
Real number (ℝ)

HIGH CORRELATION

Distinct	3140
Distinct (%)	31.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20153009

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	20111012
median	20140728
Q3	20190403
95-th percentile	20231031
Maximum	20240517
Range	149999
Interquartile range (IQR)	79391

Descriptive statistics

Standard deviation	46259.244
Coefficient of variation (CV)	0.0022954013
Kurtosis	-1.0536591
Mean	20153009
Median Absolute Deviation (MAD)	30410.5
Skewness	0.46918807
Sum	2.0153009 × 10¹¹
Variance	2.1399177 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20091117	82	0.8%
20091118	46	0.5%
20100330	45	0.4%
20091116	43	0.4%
20090609	38	0.4%
20090622	37	0.4%
20100927	37	0.4%
20110425	34	0.3%
20130621	34	0.3%
20160812	28	0.3%
Other values (3130)	9576	95.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20090518	2	< 0.1%
20090521	3	< 0.1%
20090601	2	< 0.1%
20090602	4	< 0.1%
20090603	4	< 0.1%
20090604	21	0.2%
20090605	6	0.1%
20090608	5	0.1%
20090609	38	0.4%
20090610	16	0.2%

Value	Count	Frequency (%)
20240517	3	< 0.1%
20240516	7	0.1%
20240514	2	< 0.1%
20240513	7	0.1%
20240510	3	< 0.1%
20240508	3	< 0.1%
20240507	8	0.1%
20240503	8	0.1%
20240502	8	0.1%
20240501	2	< 0.1%

Heatmap
Table

	등록신청사업	영업구분	법인여부	우편번호	등록일자	유효기간만료일자	폐쇄일자	지점설립일자	본점여부	최근수정일자
등록신청사업	1.000	0.112	0.000	0.008	0.203	0.131	0.202	0.111	0.000	0.159
영업구분	0.112	1.000	0.280	0.027	0.612	0.622	0.189	0.337	0.043	0.537
법인여부	0.000	0.280	1.000	0.067	0.344	0.277	0.262	0.181	0.190	0.353
우편번호	0.008	0.027	0.067	1.000	0.264	0.255	0.260	0.034	0.000	0.215
등록일자	0.203	0.612	0.344	0.264	1.000	1.000	0.933	0.709	0.096	0.939
유효기간만료일자	0.131	0.622	0.277	0.255	1.000	1.000	0.833	0.673	0.082	0.838
폐쇄일자	0.202	0.189	0.262	0.260	0.933	0.833	1.000	0.701	0.057	0.988
지점설립일자	0.111	0.337	0.181	0.034	0.709	0.673	0.701	1.000	0.226	0.691
본점여부	0.000	0.043	0.190	0.000	0.096	0.082	0.057	0.226	1.000	0.087
최근수정일자	0.159	0.537	0.353	0.215	0.939	0.838	0.988	0.691	0.087	1.000

Heatmap
Table

	법인여부	등록신청사업	영업구분	본점여부
법인여부	1.000	0.000	0.202	0.122
등록신청사업	0.000	1.000	0.081	0.000
영업구분	0.202	0.081	1.000	0.031
본점여부	0.122	0.000	0.031	1.000

Heatmap
Table

	우편번호	등록일자	유효기간만료일자	폐쇄일자	지점설립일자	최근수정일자	등록신청사업	영업구분	법인여부	본점여부
우편번호	1.000	-0.009	-0.001	0.017	0.048	-0.001	0.000	0.022	0.038	0.000
등록일자	-0.009	1.000	0.997	0.961	0.924	0.966	0.156	0.380	0.264	0.074
유효기간만료일자	-0.001	0.997	1.000	0.961	0.897	0.965	0.101	0.389	0.212	0.063
폐쇄일자	0.017	0.961	0.961	1.000	0.903	0.991	0.156	0.121	0.201	0.044
지점설립일자	0.048	0.924	0.897	0.903	1.000	0.895	0.047	0.238	0.327	0.170
최근수정일자	-0.001	0.966	0.965	0.991	0.895	1.000	0.122	0.301	0.270	0.067
등록신청사업	0.000	0.156	0.101	0.156	0.047	0.122	1.000	0.081	0.000	0.000
영업구분	0.022	0.380	0.389	0.121	0.238	0.301	0.081	1.000	0.202	0.031
법인여부	0.038	0.264	0.212	0.201	0.327	0.270	0.000	0.202	1.000	0.122
본점여부	0.000	0.074	0.063	0.044	0.170	0.067	0.000	0.031	0.122	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

	등록신청사업	영업구분	등록증번호	상호	법인여부	사업장 전화번호	소재지	소재지(도로명)	우편번호	등록일자	유효기간만료일자	폐쇄일자	지점설립일자	본점여부	최근수정일자
19043	대부업	직권취소	2012-서울강남-0226(대부업)	브루스대부	개인	<NA>	서울특별시 강남구 역삼동 736번지 24호 LG에클라트-1113	<NA>	135081	20120712	20150712	20130422	20120712	본점	20130424
17523	대부업	폐업	2012-서울노원-00016(대부업)	조은친구대부	개인	02-955-5279	서울특별시 노원구 중계동 148-13	<NA>	139220	20120329	20150329	20131010	20120329	본점	20131011
17158	대부업	직권취소	2011-서울영등포-0221(대부업)	H?K대부	개인	<NA>	서울특별시 영등포구 신길동 182번지 17호	<NA>	150050	20110819	20140819	20131210	20110819	본점	20131210
5907	대부업	폐업	2018-서울은평-0004(대부업)	모기지론114대부	개인	<NA>	서울특별시 은평구 진관동 100번지 3호 아이파크포레스트게이트-1202	서울특별시 은평구 통일로 1010, 아이파크포레스트게이트 12층 1202호 (진관동)	<NA>	20180327	20210327	20210302	20180327	본점	20210303
6706	대부중개업	폐업	2017-서울강동-00036	리츠코리아대부중개	개인	02-6677-6855	서울특별시 강동구 성내동 77번지 21호 -303	서울특별시 강동구 올림픽로62길 9-15, 303호 (성내동)	<NA>	20170804	20200804	20200515	20170804	본점	20200515
12719	대부업	타시군구이관	2016-서울서대문-0005(대부업)	주식회사 메디인베스트 (Medi Invest Co.,Ltd)	법인	02-6246-0902	서울특별시 서대문구 합동 117번지 충정로대우디오빌-127	서울특별시 서대문구 서소문로 37, 지하1층 127호 (합동, 충정로대우디오빌)	<NA>	20160127	20190127	20160721	20160127	본점	20160721
19003	대부업	직권취소	2011-서울강남-0036	옥토에이엠씨대부 주식회사	법인	025675071	서울특별시 강남구 역삼동 705번지 1호 빅토리아빌딩 3층-301	<NA>	135080	20110211	20140211	20130430	20110211	본점	20130430
5030	대부업	직권취소	2019-서울관악-0005(대부업)	KB365 대부업	개인	<NA>	서울특별시 관악구 신림동 1411번지 1호	서울특별시 관악구 남부순환로 1652, 지층 (신림동)	<NA>	20190304	20220304	20210930	20190304	본점	20211125
17539	대부중개업	유효기간만료	2013-서울강남-0025(대부중개업)	용대부	개인	<NA>	서울특별시 강남구 논현동 150번지	<NA>	135824	20101005	20131005	20131005	20101005	본점	20131010
7043	대부업	타시군구이관	2013-서울서초-0005(대부업)	버밀리온파트너스대부(유)	법인	02-537-9339	서울특별시 서초구 서초동 1553번지 5호 오퓨런스-714	서울특별시 서초구 서초대로 254, 714호 (서초동, 오퓨런스)	137873	20181129	20211129	20200106	20130111	본점	20200106

	등록신청사업	영업구분	등록증번호	상호	법인여부	사업장 전화번호	소재지	소재지(도로명)	우편번호	등록일자	유효기간만료일자	폐쇄일자	지점설립일자	본점여부	최근수정일자
27959	대부중개업	<NA>	2007-서울특별시-00657(대부중개업)	백만(百萬)	개인	<NA>	서울특별시 마포구 신수동 181-2	<NA>	<NA>	20070511	<NA>	20100512	<NA>	본점	20100531
26161	대부업	<NA>	2008-서울특별시-03215(대부업)	에스엠이지론	개인	<NA>	서울특별시 서초구 서초동 1599-2 엘지서초에클라트 1713호	<NA>	<NA>	20081218	<NA>	20101213	<NA>	본점	20101213
16897	대부중개업	타시군구이관	2013-서울서초-0102(대부중개업)	엘프론대부	개인	02-523-6767	서울특별시 서초구 서초동 1593번지 7호 서초이오빌-222	<NA>	137963	20130705	20160705	20140121	20130705	본점	20140121
27566	대부업	<NA>	2010-서울성동-0004	두레대부	개인	024638297	서울특별시 성동구 성수동2가 300번지 75호 동일빌딩-405	<NA>	133120	20100201	<NA>	20100722	20100201	본점	20100722
3387	대부중개업	유효기간만료	2014-서울중구-0054(대부중개업)	도원대부중개컨설팅	개인	<NA>	서울특별시 중구 을지로2가 199번지 39호	서울특별시 중구 명동7길 21, 517호 (을지로2가, 명동아르누보센텀)	<NA>	20200110	20230110	<NA>	20080901	본점	20230111
11439	대부업	폐업	2016-서울서초-0087(대부업)	이노에셋대부(유)	법인	070-7432-4955	서울특별시 서초구 서초동 1716번지 3호	서울특별시 서초구 서초대로 271, 401호 (서초동, 서초빌딩)	<NA>	20160628	20190628	20170112	20160627	본점	20170112
15997	대부업	직권취소	2013-서울강동-00009	신현캐피탈대부	개인	<NA>	서울특별시 강동구 성내동 112번지 65호 화랑빌딩-312	서울특별시 강동구 올림픽로 598, 3층 (성내동)	134841	20130308	20160308	20140709	20130308	본점	20140709
15570	대부중개업	타시군구이관	2014-서울관악-00002(대부중개업)	렉스대부중개	개인	<NA>	서울특별시 관악구 봉천동 892번지 2호	서울특별시 관악구 봉천로41길 7 (봉천동)	151050	20140102	20170102	20141001	20140102	본점	20141001
12632	대부중개업	폐업	2015-서울종로-00028(대부중개업)	굿모기지대부중개	개인	3675-0856	<NA>	서울특별시 종로구 종로 221, 413호 (종로5가, 효제빌딩4층)	<NA>	20150820	20180820	20160729	20150820	본점	20160729
22393	대부업	폐업	2009-서울특별시-02154(대부업)	서진상사대부	개인	<NA>	서울특별시 강서구 방화동 587번지 10호 지층	<NA>	<NA>	20090903	20120903	20120126	20090903	본점	20120207

Most frequently occurring

	등록신청사업	영업구분	등록증번호	상호	법인여부	사업장 전화번호	소재지	소재지(도로명)	우편번호	등록일자	유효기간만료일자	폐쇄일자	지점설립일자	본점여부	최근수정일자	# duplicates
0	대부업	폐업	2006-서울특별시-00394(대부업)	JSM캐피탈	개인	0222348157	서울특별시 중구 신당동 236번지 89호	<NA>	<NA>	20090818	20120818	20060920	20060907	본점	20120117	2

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

Space Separator

Close Punctuation

Open Punctuation

Dash Punctuation

Other Symbol

Math Symbol

Currency 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

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

Most occurring scripts

Most frequent character per script

Common

Hangul

Latin

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Most occurring characters

Most occurring categories