Overview

Dataset statistics

Number of variables26
Number of observations1405
Missing cells10575
Missing cells (%)28.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory299.2 KiB
Average record size in memory218.1 B

Variable types

Categorical7
Numeric3
Text7
Unsupported4
DateTime5

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),영업내용
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-17849/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
재개업일자 is highly imbalanced (98.7%)Imbalance
인허가취소일자 has 1405 (100.0%) missing valuesMissing
폐업일자 has 594 (42.3%) missing valuesMissing
휴업시작일자 has 1381 (98.3%) missing valuesMissing
휴업종료일자 has 1382 (98.4%) missing valuesMissing
전화번호 has 284 (20.2%) missing valuesMissing
소재지면적 has 1405 (100.0%) missing valuesMissing
소재지우편번호 has 1405 (100.0%) missing valuesMissing
도로명주소 has 36 (2.6%) missing valuesMissing
도로명우편번호 has 941 (67.0%) missing valuesMissing
업태구분명 has 1405 (100.0%) missing valuesMissing
좌표정보(X) has 29 (2.1%) missing valuesMissing
좌표정보(Y) has 29 (2.1%) missing valuesMissing
영업내용 has 274 (19.5%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 08:27:15.315862
Analysis finished2024-05-11 08:27:18.231328
Duration2.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
3220000
1405 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3220000
2nd row3220000
3rd row3220000
4th row3220000
5th row3220000

Common Values

ValueCountFrequency (%)
3220000 1405
100.0%

Length

2024-05-11T08:27:18.541621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:27:18.994981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 1405
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct1405
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.007085 × 1018
Minimum1.990322 × 1018
Maximum2.199322 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.5 KiB
2024-05-11T08:27:19.456111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.990322 × 1018
5-th percentile1.996322 × 1018
Q12.001322 × 1018
median2.005322 × 1018
Q32.012322 × 1018
95-th percentile2.021322 × 1018
Maximum2.199322 × 1018
Range2.09 × 1017
Interquartile range (IQR)1.1000007 × 1016

Descriptive statistics

Standard deviation9.2237204 × 1015
Coefficient of variation (CV)0.0045955804
Kurtosis133.08435
Mean2.007085 × 1018
Median Absolute Deviation (MAD)5 × 1015
Skewness6.6803658
Sum-2.3974157 × 1018
Variance8.5077018 × 1031
MonotonicityStrictly increasing
2024-05-11T08:27:19.968158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1990322010408200118 1
 
0.1%
2009322010408500027 1
 
0.1%
2009322010408500035 1
 
0.1%
2009322010408500034 1
 
0.1%
2009322010408500033 1
 
0.1%
2009322010408500032 1
 
0.1%
2009322010408500031 1
 
0.1%
2009322010408500030 1
 
0.1%
2009322010408500029 1
 
0.1%
2009322010408500028 1
 
0.1%
Other values (1395) 1395
99.3%
ValueCountFrequency (%)
1990322010408200118 1
0.1%
1990322010408200120 1
0.1%
1990322010408200122 1
0.1%
1990322010408200131 1
0.1%
1990322010408200136 1
0.1%
1990322010408200139 1
0.1%
1991322010408200001 1
0.1%
1991322010408200008 1
0.1%
1991322010408200012 1
0.1%
1991322010408200076 1
0.1%
ValueCountFrequency (%)
2199322010408200016 1
0.1%
2024322017408500012 1
0.1%
2024322017408500011 1
0.1%
2024322017408500010 1
0.1%
2024322017408500009 1
0.1%
2024322017408500008 1
0.1%
2024322017408500007 1
0.1%
2024322017408500006 1
0.1%
2024322017408500005 1
0.1%
2024322017408500004 1
0.1%

인허가일자
Text

Distinct1121
Distinct (%)79.8%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
2024-05-11T08:27:21.016932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.1523132
Min length8

Characters and Unicode

Total characters11454
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique926 ?
Unique (%)65.9%

Sample

1st row19910228
2nd row19900228
3rd row19900228
4th row20180625
5th row19900228
ValueCountFrequency (%)
19960723 10
 
0.7%
19960413 9
 
0.6%
19960226 8
 
0.6%
19951228 7
 
0.5%
19960326 6
 
0.4%
19951103 6
 
0.4%
19960510 5
 
0.4%
20060623 5
 
0.4%
19950919 5
 
0.4%
19980105 4
 
0.3%
Other values (1111) 1340
95.4%
2024-05-11T08:27:22.423289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3642
31.8%
2 2270
19.8%
1 1958
17.1%
9 819
 
7.2%
3 520
 
4.5%
6 442
 
3.9%
4 412
 
3.6%
5 412
 
3.6%
7 383
 
3.3%
8 381
 
3.3%
Other values (2) 215
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11239
98.1%
Dash Punctuation 214
 
1.9%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3642
32.4%
2 2270
20.2%
1 1958
17.4%
9 819
 
7.3%
3 520
 
4.6%
6 442
 
3.9%
4 412
 
3.7%
5 412
 
3.7%
7 383
 
3.4%
8 381
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 214
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11454
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3642
31.8%
2 2270
19.8%
1 1958
17.1%
9 819
 
7.2%
3 520
 
4.5%
6 442
 
3.9%
4 412
 
3.6%
5 412
 
3.6%
7 383
 
3.3%
8 381
 
3.3%
Other values (2) 215
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11454
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3642
31.8%
2 2270
19.8%
1 1958
17.1%
9 819
 
7.2%
3 520
 
4.5%
6 442
 
3.9%
4 412
 
3.6%
5 412
 
3.6%
7 383
 
3.3%
8 381
 
3.3%
Other values (2) 215
 
1.9%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1405
Missing (%)100.0%
Memory size12.5 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
3
830 
1
429 
4
130 
2
 
16

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row1
5th row3

Common Values

ValueCountFrequency (%)
3 830
59.1%
1 429
30.5%
4 130
 
9.3%
2 16
 
1.1%

Length

2024-05-11T08:27:22.971491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:27:23.325070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 830
59.1%
1 429
30.5%
4 130
 
9.3%
2 16
 
1.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
폐업
830 
영업/정상
429 
취소/말소/만료/정지/중지
130 
휴업
 
16

Length

Max length14
Median length2
Mean length4.0263345
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row폐업
3rd row폐업
4th row영업/정상
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 830
59.1%
영업/정상 429
30.5%
취소/말소/만료/정지/중지 130
 
9.3%
휴업 16
 
1.1%

Length

2024-05-11T08:27:23.791737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:27:24.415035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 830
59.1%
영업/정상 429
30.5%
취소/말소/만료/정지/중지 130
 
9.3%
휴업 16
 
1.1%

상세영업상태코드
Categorical

Distinct9
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
40
830 
20
370 
70
129 
90
 
39
01
 
16
Other values (4)
 
21

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row40
2nd row40
3rd row40
4th row20
5th row40

Common Values

ValueCountFrequency (%)
40 830
59.1%
20 370
26.3%
70 129
 
9.2%
90 39
 
2.8%
01 16
 
1.1%
30 16
 
1.1%
99 3
 
0.2%
% 1
 
0.1%
71 1
 
0.1%

Length

2024-05-11T08:27:25.059015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:27:25.639709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 830
59.1%
20 370
26.3%
70 129
 
9.2%
90 39
 
2.8%
01 16
 
1.1%
30 16
 
1.1%
99 3
 
0.2%
1
 
0.1%
71 1
 
0.1%

상세영업상태명
Categorical

Distinct7
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
폐업
830 
정상
370 
취소
129 
등록신청
 
39
<NA>
 
20
Other values (2)
 
17

Length

Max length8
Median length2
Mean length2.0882562
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row폐업
2nd row폐업
3rd row폐업
4th row정상
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 830
59.1%
정상 370
26.3%
취소 129
 
9.2%
등록신청 39
 
2.8%
<NA> 20
 
1.4%
휴업 16
 
1.1%
신청취소(취하) 1
 
0.1%

Length

2024-05-11T08:27:26.308247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:27:26.717281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 830
59.1%
정상 370
26.3%
취소 129
 
9.2%
등록신청 39
 
2.8%
na 20
 
1.4%
휴업 16
 
1.1%
신청취소(취하 1
 
0.1%

폐업일자
Date

MISSING 

Distinct475
Distinct (%)58.6%
Missing594
Missing (%)42.3%
Memory size11.1 KiB
Minimum2001-08-27 00:00:00
Maximum2024-03-26 00:00:00
2024-05-11T08:27:27.149582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:27:27.578060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct24
Distinct (%)100.0%
Missing1381
Missing (%)98.3%
Memory size11.1 KiB
Minimum2006-06-08 00:00:00
Maximum2023-12-02 00:00:00
2024-05-11T08:27:28.167674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:27:28.539002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

휴업종료일자
Date

MISSING 

Distinct23
Distinct (%)100.0%
Missing1382
Missing (%)98.4%
Memory size11.1 KiB
Minimum2006-12-07 00:00:00
Maximum2027-04-30 00:00:00
2024-05-11T08:27:28.892138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:27:29.346491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

재개업일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
<NA>
1402 
20120509
 
1
20121130
 
1
20170403
 
1

Length

Max length8
Median length4
Mean length4.0085409
Min length4

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1402
99.8%
20120509 1
 
0.1%
20121130 1
 
0.1%
20170403 1
 
0.1%

Length

2024-05-11T08:27:29.758649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:27:30.140342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1402
99.8%
20120509 1
 
0.1%
20121130 1
 
0.1%
20170403 1
 
0.1%

전화번호
Text

MISSING 

Distinct1044
Distinct (%)93.1%
Missing284
Missing (%)20.2%
Memory size11.1 KiB
2024-05-11T08:27:30.661671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.53256
Min length2

Characters and Unicode

Total characters11807
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique983 ?
Unique (%)87.7%

Sample

1st row02 5628413
2nd row02 5572344
3rd row0234532310
4th row02 548 1378
5th row02 5584927
ValueCountFrequency (%)
02 879
39.7%
070 15
 
0.7%
031 8
 
0.4%
540 8
 
0.4%
539 6
 
0.3%
511 6
 
0.3%
543 5
 
0.2%
541 5
 
0.2%
556 5
 
0.2%
547 5
 
0.2%
Other values (1140) 1270
57.4%
2024-05-11T08:27:31.714460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1933
16.4%
2 1832
15.5%
1523
12.9%
5 1509
12.8%
4 1008
8.5%
1 825
7.0%
7 728
 
6.2%
3 724
 
6.1%
6 706
 
6.0%
8 562
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10284
87.1%
Space Separator 1523
 
12.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1933
18.8%
2 1832
17.8%
5 1509
14.7%
4 1008
9.8%
1 825
8.0%
7 728
 
7.1%
3 724
 
7.0%
6 706
 
6.9%
8 562
 
5.5%
9 457
 
4.4%
Space Separator
ValueCountFrequency (%)
1523
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11807
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1933
16.4%
2 1832
15.5%
1523
12.9%
5 1509
12.8%
4 1008
8.5%
1 825
7.0%
7 728
 
6.2%
3 724
 
6.1%
6 706
 
6.0%
8 562
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11807
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1933
16.4%
2 1832
15.5%
1523
12.9%
5 1509
12.8%
4 1008
8.5%
1 825
7.0%
7 728
 
6.2%
3 724
 
6.1%
6 706
 
6.0%
8 562
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1405
Missing (%)100.0%
Memory size12.5 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1405
Missing (%)100.0%
Memory size12.5 KiB

지번주소
Text

Distinct909
Distinct (%)64.9%
Missing5
Missing (%)0.4%
Memory size11.1 KiB
2024-05-11T08:27:32.292481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length39
Mean length26.404286
Min length14

Characters and Unicode

Total characters36966
Distinct characters371
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique796 ?
Unique (%)56.9%

Sample

1st row서울특별시 강남구 역삼동 ***-**번지
2nd row서울특별시 강남구 역삼동 ***-**번지
3rd row서울특별시 강남구 논현동 ***-*번지
4th row서울특별시 강남구 논현동 ***-*번지 ***호
5th row서울특별시 강남구 역삼동 ***-**번지
ValueCountFrequency (%)
서울특별시 1397
20.1%
강남구 1385
20.0%
번지 1021
14.7%
역삼동 328
 
4.7%
322
 
4.6%
논현동 305
 
4.4%
호 205
 
3.0%
신사동 201
 
2.9%
층 200
 
2.9%
삼성동 171
 
2.5%
Other values (800) 1405
20.2%
2024-05-11T08:27:33.464677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 6843
18.5%
6606
17.9%
서 1441
 
3.9%
동 1441
 
3.9%
남 1410
 
3.8%
구 1408
 
3.8%
시 1404
 
3.8%
강 1403
 
3.8%
울 1403
 
3.8%
특 1397
 
3.8%
Other values (361) 12210
33.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21448
58.0%
Other Punctuation 6862
 
18.6%
Space Separator 6606
 
17.9%
Dash Punctuation 1232
 
3.3%
Decimal Number 652
 
1.8%
Uppercase Letter 129
 
0.3%
Lowercase Letter 23
 
0.1%
Close Punctuation 7
 
< 0.1%
Open Punctuation 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1441
 
6.7%
동 1441
 
6.7%
남 1410
 
6.6%
구 1408
 
6.6%
시 1404
 
6.5%
강 1403
 
6.5%
울 1403
 
6.5%
특 1397
 
6.5%
별 1397
 
6.5%
지 1061
 
4.9%
Other values (306) 7683
35.8%
Uppercase Letter
ValueCountFrequency (%)
B 26
20.2%
W 11
 
8.5%
S 10
 
7.8%
M 8
 
6.2%
A 8
 
6.2%
C 8
 
6.2%
E 7
 
5.4%
O 7
 
5.4%
R 6
 
4.7%
T 6
 
4.7%
Other values (12) 32
24.8%
Lowercase Letter
ValueCountFrequency (%)
r 3
13.0%
n 3
13.0%
k 2
8.7%
o 2
8.7%
a 2
8.7%
e 2
8.7%
m 2
8.7%
b 1
 
4.3%
w 1
 
4.3%
u 1
 
4.3%
Other values (4) 4
17.4%
Decimal Number
ValueCountFrequency (%)
1 147
22.5%
2 84
12.9%
5 62
9.5%
3 62
9.5%
4 60
9.2%
0 56
 
8.6%
7 54
 
8.3%
6 53
 
8.1%
8 38
 
5.8%
9 36
 
5.5%
Other Punctuation
ValueCountFrequency (%)
* 6843
99.7%
, 15
 
0.2%
. 2
 
< 0.1%
@ 1
 
< 0.1%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
6606
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1232
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21448
58.0%
Common 15366
41.6%
Latin 152
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1441
 
6.7%
동 1441
 
6.7%
남 1410
 
6.6%
구 1408
 
6.6%
시 1404
 
6.5%
강 1403
 
6.5%
울 1403
 
6.5%
특 1397
 
6.5%
별 1397
 
6.5%
지 1061
 
4.9%
Other values (306) 7683
35.8%
Latin
ValueCountFrequency (%)
B 26
17.1%
W 11
 
7.2%
S 10
 
6.6%
M 8
 
5.3%
A 8
 
5.3%
C 8
 
5.3%
E 7
 
4.6%
O 7
 
4.6%
R 6
 
3.9%
T 6
 
3.9%
Other values (26) 55
36.2%
Common
ValueCountFrequency (%)
* 6843
44.5%
6606
43.0%
- 1232
 
8.0%
1 147
 
1.0%
2 84
 
0.5%
5 62
 
0.4%
3 62
 
0.4%
4 60
 
0.4%
0 56
 
0.4%
7 54
 
0.4%
Other values (9) 160
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21448
58.0%
ASCII 15518
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 6843
44.1%
6606
42.6%
- 1232
 
7.9%
1 147
 
0.9%
2 84
 
0.5%
5 62
 
0.4%
3 62
 
0.4%
4 60
 
0.4%
0 56
 
0.4%
7 54
 
0.3%
Other values (45) 312
 
2.0%
Hangul
ValueCountFrequency (%)
서 1441
 
6.7%
동 1441
 
6.7%
남 1410
 
6.6%
구 1408
 
6.6%
시 1404
 
6.5%
강 1403
 
6.5%
울 1403
 
6.5%
특 1397
 
6.5%
별 1397
 
6.5%
지 1061
 
4.9%
Other values (306) 7683
35.8%

도로명주소
Text

MISSING 

Distinct1125
Distinct (%)82.2%
Missing36
Missing (%)2.6%
Memory size11.1 KiB
2024-05-11T08:27:34.239367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length44
Mean length31.953981
Min length20

Characters and Unicode

Total characters43745
Distinct characters387
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique977 ?
Unique (%)71.4%

Sample

1st row서울특별시 강남구 논현로 *** (역삼동)
2nd row서울특별시 강남구 봉은사로*길 ** (역삼동)
3rd row서울특별시 강남구 언주로***길 ** (논현동)
4th row서울특별시 강남구 선릉로***길 **, ***호 (논현동)
5th row서울특별시 강남구 선릉로 *** (역삼동)
ValueCountFrequency (%)
서울특별시 1368
17.3%
강남구 1360
17.2%
1297
16.4%
층 301
 
3.8%
호 280
 
3.5%
역삼동 199
 
2.5%
논현동 186
 
2.4%
신사동 93
 
1.2%
삼성동 87
 
1.1%
논현로**길 78
 
1.0%
Other values (1003) 2642
33.5%
2024-05-11T08:27:35.955764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7241
 
16.6%
* 6614
 
15.1%
동 1525
 
3.5%
남 1524
 
3.5%
강 1510
 
3.5%
구 1417
 
3.2%
서 1412
 
3.2%
로 1398
 
3.2%
울 1375
 
3.1%
시 1374
 
3.1%
Other values (377) 18355
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25144
57.5%
Other Punctuation 7717
 
17.6%
Space Separator 7241
 
16.6%
Close Punctuation 1374
 
3.1%
Open Punctuation 1374
 
3.1%
Decimal Number 604
 
1.4%
Uppercase Letter 147
 
0.3%
Dash Punctuation 120
 
0.3%
Lowercase Letter 23
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1525
 
6.1%
남 1524
 
6.1%
강 1510
 
6.0%
구 1417
 
5.6%
서 1412
 
5.6%
로 1398
 
5.6%
울 1375
 
5.5%
시 1374
 
5.5%
별 1368
 
5.4%
특 1368
 
5.4%
Other values (319) 10873
43.2%
Uppercase Letter
ValueCountFrequency (%)
B 34
23.1%
S 13
 
8.8%
W 13
 
8.8%
O 9
 
6.1%
E 9
 
6.1%
T 9
 
6.1%
M 8
 
5.4%
A 8
 
5.4%
R 7
 
4.8%
K 5
 
3.4%
Other values (13) 32
21.8%
Lowercase Letter
ValueCountFrequency (%)
r 3
13.0%
e 2
 
8.7%
o 2
 
8.7%
k 2
 
8.7%
n 2
 
8.7%
a 2
 
8.7%
m 2
 
8.7%
v 1
 
4.3%
b 1
 
4.3%
w 1
 
4.3%
Other values (5) 5
21.7%
Decimal Number
ValueCountFrequency (%)
1 122
20.2%
2 94
15.6%
3 81
13.4%
5 57
9.4%
6 56
9.3%
0 55
9.1%
4 53
8.8%
7 38
 
6.3%
8 27
 
4.5%
9 21
 
3.5%
Other Punctuation
ValueCountFrequency (%)
* 6614
85.7%
, 1098
 
14.2%
& 2
 
< 0.1%
. 2
 
< 0.1%
@ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
7241
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1374
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1374
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 120
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25144
57.5%
Common 18431
42.1%
Latin 170
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1525
 
6.1%
남 1524
 
6.1%
강 1510
 
6.0%
구 1417
 
5.6%
서 1412
 
5.6%
로 1398
 
5.6%
울 1375
 
5.5%
시 1374
 
5.5%
별 1368
 
5.4%
특 1368
 
5.4%
Other values (319) 10873
43.2%
Latin
ValueCountFrequency (%)
B 34
20.0%
S 13
 
7.6%
W 13
 
7.6%
O 9
 
5.3%
E 9
 
5.3%
T 9
 
5.3%
M 8
 
4.7%
A 8
 
4.7%
R 7
 
4.1%
K 5
 
2.9%
Other values (28) 55
32.4%
Common
ValueCountFrequency (%)
7241
39.3%
* 6614
35.9%
) 1374
 
7.5%
( 1374
 
7.5%
, 1098
 
6.0%
1 122
 
0.7%
- 120
 
0.7%
2 94
 
0.5%
3 81
 
0.4%
5 57
 
0.3%
Other values (10) 256
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25144
57.5%
ASCII 18601
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7241
38.9%
* 6614
35.6%
) 1374
 
7.4%
( 1374
 
7.4%
, 1098
 
5.9%
1 122
 
0.7%
- 120
 
0.6%
2 94
 
0.5%
3 81
 
0.4%
5 57
 
0.3%
Other values (48) 426
 
2.3%
Hangul
ValueCountFrequency (%)
동 1525
 
6.1%
남 1524
 
6.1%
강 1510
 
6.0%
구 1417
 
5.6%
서 1412
 
5.6%
로 1398
 
5.6%
울 1375
 
5.5%
시 1374
 
5.5%
별 1368
 
5.4%
특 1368
 
5.4%
Other values (319) 10873
43.2%

도로명우편번호
Text

MISSING 

Distinct249
Distinct (%)53.7%
Missing941
Missing (%)67.0%
Memory size11.1 KiB
2024-05-11T08:27:36.962103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2543103
Min length5

Characters and Unicode

Total characters2438
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique133 ?
Unique (%)28.7%

Sample

1st row06060
2nd row06211
3rd row135964
4th row06244
5th row06031
ValueCountFrequency (%)
135081 9
 
1.9%
135120 6
 
1.3%
06044 6
 
1.3%
06035 6
 
1.3%
06037 5
 
1.1%
06040 5
 
1.1%
06105 5
 
1.1%
06241 5
 
1.1%
06039 5
 
1.1%
06164 5
 
1.1%
Other values (239) 407
87.7%
2024-05-11T08:27:38.648464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 565
23.2%
6 426
17.5%
1 373
15.3%
3 260
10.7%
5 212
 
8.7%
2 170
 
7.0%
8 119
 
4.9%
4 113
 
4.6%
9 109
 
4.5%
7 86
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2433
99.8%
Dash Punctuation 5
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 565
23.2%
6 426
17.5%
1 373
15.3%
3 260
10.7%
5 212
 
8.7%
2 170
 
7.0%
8 119
 
4.9%
4 113
 
4.6%
9 109
 
4.5%
7 86
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2438
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 565
23.2%
6 426
17.5%
1 373
15.3%
3 260
10.7%
5 212
 
8.7%
2 170
 
7.0%
8 119
 
4.9%
4 113
 
4.6%
9 109
 
4.5%
7 86
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2438
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 565
23.2%
6 426
17.5%
1 373
15.3%
3 260
10.7%
5 212
 
8.7%
2 170
 
7.0%
8 119
 
4.9%
4 113
 
4.6%
9 109
 
4.5%
7 86
 
3.5%

사업장명
Text

Distinct1321
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
2024-05-11T08:27:39.548864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length17
Mean length7.4434164
Min length2

Characters and Unicode

Total characters10458
Distinct characters532
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1248 ?
Unique (%)88.8%

Sample

1st row구평기획
2nd row네온프라자
3rd row박 보 당
4th row대하애드(주)
5th row진양애드
ValueCountFrequency (%)
주식회사 90
 
5.5%
디자인 14
 
0.9%
주 14
 
0.9%
기획 8
 
0.5%
서울광고 5
 
0.3%
sign 5
 
0.3%
애드 5
 
0.3%
주)서인애드컴 4
 
0.2%
현대기획 4
 
0.2%
삼성광고 3
 
0.2%
Other values (1380) 1475
90.7%
2024-05-11T08:27:41.341930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 932
 
8.9%
) 838
 
8.0%
( 829
 
7.9%
이 376
 
3.6%
스 313
 
3.0%
드 249
 
2.4%
인 235
 
2.2%
224
 
2.1%
디 222
 
2.1%
애 194
 
1.9%
Other values (522) 6046
57.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8339
79.7%
Close Punctuation 838
 
8.0%
Open Punctuation 829
 
7.9%
Space Separator 224
 
2.1%
Uppercase Letter 143
 
1.4%
Lowercase Letter 53
 
0.5%
Decimal Number 19
 
0.2%
Other Punctuation 8
 
0.1%
Dash Punctuation 4
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 932
 
11.2%
이 376
 
4.5%
스 313
 
3.8%
드 249
 
3.0%
인 235
 
2.8%
디 222
 
2.7%
애 194
 
2.3%
아 165
 
2.0%
사 159
 
1.9%
기 155
 
1.9%
Other values (466) 5339
64.0%
Uppercase Letter
ValueCountFrequency (%)
S 18
12.6%
I 15
 
10.5%
G 12
 
8.4%
N 10
 
7.0%
T 10
 
7.0%
E 9
 
6.3%
C 9
 
6.3%
M 8
 
5.6%
A 6
 
4.2%
O 6
 
4.2%
Other values (12) 40
28.0%
Lowercase Letter
ValueCountFrequency (%)
o 7
13.2%
e 6
11.3%
c 5
9.4%
a 5
9.4%
m 5
9.4%
i 5
9.4%
s 3
 
5.7%
n 2
 
3.8%
t 2
 
3.8%
l 2
 
3.8%
Other values (7) 11
20.8%
Decimal Number
ValueCountFrequency (%)
2 6
31.6%
1 4
21.1%
7 3
15.8%
4 2
 
10.5%
5 1
 
5.3%
6 1
 
5.3%
3 1
 
5.3%
9 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 3
37.5%
? 2
25.0%
& 2
25.0%
, 1
 
12.5%
Close Punctuation
ValueCountFrequency (%)
) 838
100.0%
Open Punctuation
ValueCountFrequency (%)
( 829
100.0%
Space Separator
ValueCountFrequency (%)
224
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8340
79.7%
Common 1922
 
18.4%
Latin 196
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 932
 
11.2%
이 376
 
4.5%
스 313
 
3.8%
드 249
 
3.0%
인 235
 
2.8%
디 222
 
2.7%
애 194
 
2.3%
아 165
 
2.0%
사 159
 
1.9%
기 155
 
1.9%
Other values (467) 5340
64.0%
Latin
ValueCountFrequency (%)
S 18
 
9.2%
I 15
 
7.7%
G 12
 
6.1%
N 10
 
5.1%
T 10
 
5.1%
E 9
 
4.6%
C 9
 
4.6%
M 8
 
4.1%
o 7
 
3.6%
A 6
 
3.1%
Other values (29) 92
46.9%
Common
ValueCountFrequency (%)
) 838
43.6%
( 829
43.1%
224
 
11.7%
2 6
 
0.3%
- 4
 
0.2%
1 4
 
0.2%
7 3
 
0.2%
. 3
 
0.2%
? 2
 
0.1%
& 2
 
0.1%
Other values (6) 7
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8339
79.7%
ASCII 2118
 
20.3%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 932
 
11.2%
이 376
 
4.5%
스 313
 
3.8%
드 249
 
3.0%
인 235
 
2.8%
디 222
 
2.7%
애 194
 
2.3%
아 165
 
2.0%
사 159
 
1.9%
기 155
 
1.9%
Other values (466) 5339
64.0%
ASCII
ValueCountFrequency (%)
) 838
39.6%
( 829
39.1%
224
 
10.6%
S 18
 
0.8%
I 15
 
0.7%
G 12
 
0.6%
N 10
 
0.5%
T 10
 
0.5%
E 9
 
0.4%
C 9
 
0.4%
Other values (45) 144
 
6.8%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

Distinct1332
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
Minimum1900-01-01 00:00:00
Maximum2024-05-03 13:42:54
2024-05-11T08:27:42.048990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:27:42.650820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
I
990 
U
415 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI
2nd rowI
3rd rowI
4th rowI
5th rowI

Common Values

ValueCountFrequency (%)
I 990
70.5%
U 415
29.5%

Length

2024-05-11T08:27:43.193880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:27:43.530525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 990
70.5%
u 415
29.5%

데이터갱신일자
Date

Distinct246
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T08:27:43.983169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:27:44.627342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1405
Missing (%)100.0%
Memory size12.5 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1042
Distinct (%)75.7%
Missing29
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean203598.47
Minimum190257
Maximum210256.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.5 KiB
2024-05-11T08:27:45.312039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190257
5-th percentile201787.88
Q1202564.05
median203319.29
Q3204404.15
95-th percentile205884.37
Maximum210256.79
Range19999.793
Interquartile range (IQR)1840.0927

Descriptive statistics

Standard deviation1617.2127
Coefficient of variation (CV)0.0079431476
Kurtosis9.0280154
Mean203598.47
Median Absolute Deviation (MAD)918.14997
Skewness0.37190267
Sum2.801515 × 108
Variance2615376.9
MonotonicityNot monotonic
2024-05-11T08:27:46.025999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202803.137561335 15
 
1.1%
206970.919291372 9
 
0.6%
203931.098064589 8
 
0.6%
202233.376703439 7
 
0.5%
208937.760652081 7
 
0.5%
202425.73 6
 
0.4%
203132.786972753 5
 
0.4%
205130.591678902 5
 
0.4%
202725.962072631 5
 
0.4%
203919.495860998 5
 
0.4%
Other values (1032) 1304
92.8%
(Missing) 29
 
2.1%
ValueCountFrequency (%)
190256.997348579 1
 
0.1%
190496.447846852 1
 
0.1%
196279.119266404 1
 
0.1%
197433.728224877 1
 
0.1%
198910.899366062 1
 
0.1%
200111.549320318 1
 
0.1%
201058.847745813 1
 
0.1%
201270.012577683 1
 
0.1%
201621.76711437 1
 
0.1%
201639.245453617 3
0.2%
ValueCountFrequency (%)
210256.790282349 3
0.2%
210068.709244252 1
 
0.1%
210021.942363224 1
 
0.1%
209578.203790877 1
 
0.1%
209384.708472884 1
 
0.1%
209201.961413428 1
 
0.1%
209145.648985751 1
 
0.1%
209144.783150288 4
0.3%
209135.599265894 1
 
0.1%
209131.856052105 2
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1042
Distinct (%)75.7%
Missing29
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean444846.67
Minimum430985
Maximum452996.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.5 KiB
2024-05-11T08:27:46.784777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum430985
5-th percentile441787.82
Q1443816.87
median445059.75
Q3446083.51
95-th percentile446820.06
Maximum452996.98
Range22011.979
Interquartile range (IQR)2266.6396

Descriptive statistics

Standard deviation1611.1908
Coefficient of variation (CV)0.0036219014
Kurtosis4.5622001
Mean444846.67
Median Absolute Deviation (MAD)1115.2722
Skewness-0.67546311
Sum6.1210902 × 108
Variance2595935.8
MonotonicityNot monotonic
2024-05-11T08:27:47.266745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
443189.823482655 15
 
1.1%
443574.411625824 9
 
0.6%
444622.849264371 8
 
0.6%
446247.902496745 7
 
0.5%
442873.588039887 7
 
0.5%
444852.88 6
 
0.4%
443478.003124292 5
 
0.4%
445590.096837802 5
 
0.4%
443203.561575728 5
 
0.4%
446817.141574693 5
 
0.4%
Other values (1032) 1304
92.8%
(Missing) 29
 
2.1%
ValueCountFrequency (%)
430985.004432136 1
 
0.1%
440266.497436245 3
0.2%
440578.248336478 1
 
0.1%
440701.115748256 1
 
0.1%
440829.366669225 1
 
0.1%
441083.942558007 1
 
0.1%
441161.475 2
0.1%
441163.795720684 1
 
0.1%
441166.615309764 1
 
0.1%
441249.224165939 1
 
0.1%
ValueCountFrequency (%)
452996.982975482 1
0.1%
452750.505122507 1
0.1%
452647.977464275 1
0.1%
450537.642315652 1
0.1%
450245.150160413 1
0.1%
448445.014816112 1
0.1%
447335.760650218 1
0.1%
447333.413958566 1
0.1%
447323.737268385 1
0.1%
447322.662585451 1
0.1%

영업내용
Text

MISSING 

Distinct265
Distinct (%)23.4%
Missing274
Missing (%)19.5%
Memory size11.1 KiB
2024-05-11T08:27:47.813633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length36
Mean length7.5340407
Min length2

Characters and Unicode

Total characters8521
Distinct characters152
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique201 ?
Unique (%)17.8%

Sample

1st row광고대행
2nd row광고대행
3rd row광고대행
4th row광고대행
5th row광고대행
ValueCountFrequency (%)
광고대행 453
22.7%
및 221
11.1%
광고물제작 206
10.3%
대행 170
 
8.5%
제작 167
 
8.4%
옥외광고물 104
 
5.2%
옥외광고업 91
 
4.6%
광고물 49
 
2.5%
옥외광고 48
 
2.4%
설치 46
 
2.3%
Other values (198) 440
22.1%
2024-05-11T08:27:48.977307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 1263
14.8%
고 1257
14.8%
867
10.2%
행 752
8.8%
대 751
8.8%
제 557
6.5%
작 545
6.4%
물 486
 
5.7%
외 364
 
4.3%
옥 361
 
4.2%
Other values (142) 1318
15.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7415
87.0%
Space Separator 867
 
10.2%
Other Punctuation 206
 
2.4%
Decimal Number 15
 
0.2%
Open Punctuation 6
 
0.1%
Close Punctuation 6
 
0.1%
Uppercase Letter 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 1263
17.0%
고 1257
17.0%
행 752
10.1%
대 751
10.1%
제 557
7.5%
작 545
7.3%
물 486
 
6.6%
외 364
 
4.9%
옥 361
 
4.9%
및 255
 
3.4%
Other values (123) 824
11.1%
Decimal Number
ValueCountFrequency (%)
2 4
26.7%
1 3
20.0%
7 3
20.0%
0 2
13.3%
6 1
 
6.7%
5 1
 
6.7%
3 1
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
L 2
33.3%
T 1
16.7%
B 1
16.7%
D 1
16.7%
E 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 178
86.4%
. 17
 
8.3%
/ 10
 
4.9%
? 1
 
0.5%
Space Separator
ValueCountFrequency (%)
867
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7415
87.0%
Common 1100
 
12.9%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 1263
17.0%
고 1257
17.0%
행 752
10.1%
대 751
10.1%
제 557
7.5%
작 545
7.3%
물 486
 
6.6%
외 364
 
4.9%
옥 361
 
4.9%
및 255
 
3.4%
Other values (123) 824
11.1%
Common
ValueCountFrequency (%)
867
78.8%
, 178
 
16.2%
. 17
 
1.5%
/ 10
 
0.9%
( 6
 
0.5%
) 6
 
0.5%
2 4
 
0.4%
1 3
 
0.3%
7 3
 
0.3%
0 2
 
0.2%
Other values (4) 4
 
0.4%
Latin
ValueCountFrequency (%)
L 2
33.3%
T 1
16.7%
B 1
16.7%
D 1
16.7%
E 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7415
87.0%
ASCII 1106
 
13.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 1263
17.0%
고 1257
17.0%
행 752
10.1%
대 751
10.1%
제 557
7.5%
작 545
7.3%
물 486
 
6.6%
외 364
 
4.9%
옥 361
 
4.9%
및 255
 
3.4%
Other values (123) 824
11.1%
ASCII
ValueCountFrequency (%)
867
78.4%
, 178
 
16.1%
. 17
 
1.5%
/ 10
 
0.9%
( 6
 
0.5%
) 6
 
0.5%
2 4
 
0.4%
1 3
 
0.3%
7 3
 
0.3%
L 2
 
0.2%
Other values (9) 10
 
0.9%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)영업내용
03220000199032201040820011819910228<NA>3폐업40폐업20020315<NA><NA><NA>02 5628413<NA><NA>서울특별시 강남구 역삼동 ***-**번지서울특별시 강남구 논현로 *** (역삼동)<NA>구평기획1991-02-28 00:00:00I2018-08-31 23:59:59.0<NA>203295.545443959.205광고대행
13220000199032201040820012019900228<NA>3폐업40폐업20020315<NA><NA><NA>02 5572344<NA><NA>서울특별시 강남구 역삼동 ***-**번지서울특별시 강남구 봉은사로*길 ** (역삼동)<NA>네온프라자1990-02-28 00:00:00I2018-08-31 23:59:59.0<NA>202281.871206444447.919009광고대행
23220000199032201040820012219900228<NA>3폐업40폐업20050830<NA><NA><NA>0234532310<NA><NA>서울특별시 강남구 논현동 ***-*번지서울특별시 강남구 언주로***길 ** (논현동)<NA>박 보 당1990-02-28 00:00:00I2018-08-31 23:59:59.0<NA>203195.205445861.19광고대행
33220000199032201040820013120180625<NA>1영업/정상20정상<NA><NA><NA><NA>02 548 1378<NA><NA>서울특별시 강남구 논현동 ***-*번지 ***호서울특별시 강남구 선릉로***길 **, ***호 (논현동)06060대하애드(주)2018-06-27 09:14:49I2018-08-31 23:59:59.0<NA>203452.268425446132.614648광고대행
43220000199032201040820013619900228<NA>3폐업40폐업20020315<NA><NA><NA>02 5584927<NA><NA>서울특별시 강남구 역삼동 ***-**번지서울특별시 강남구 선릉로 *** (역삼동)<NA>진양애드1990-02-28 00:00:00I2018-08-31 23:59:59.0<NA>203852.667914445162.852023광고대행
53220000199032201040820013919910228<NA>3폐업40폐업20020315<NA><NA><NA>02 5677405<NA><NA>서울특별시 강남구 역삼동 ***-**번지서울특별시 강남구 선릉로 *** (역삼동)<NA>(주)일한샘1991-02-28 00:00:00I2018-08-31 23:59:59.0<NA>204105.787999444937.438375광고대행
63220000199132201040820000119910628<NA>1영업/정상20정상<NA><NA><NA><NA>02 5428208<NA><NA>서울특별시 강남구 대치동 ***-**번지서울특별시 강남구 삼성로**길 ** (대치동)<NA>성미광고2008-06-24 10:20:24I2018-08-31 23:59:59.0<NA>204929.673283444370.122587광고물제작 설치
73220000199132201040820000819980126<NA>3폐업40폐업20020718<NA><NA><NA>02 5400506<NA><NA>서울특별시 강남구 논현동 ***-**번지 대덕빌딩*층서울특별시 강남구 언주로***길 ** (논현동,대덕빌딩*층)<NA>(주)아름다운 세상1998-01-26 00:00:00I2018-08-31 23:59:59.0<NA>203184.58418445885.366926광고대행
83220000199132201040820001219951103<NA>3폐업40폐업20050830<NA><NA><NA>02 5481108<NA><NA>서울특별시 강남구 논현동 ***-*번지서울특별시 강남구 논현로***길 ** (논현동)<NA>(주) 지 드1995-11-03 00:00:00I2018-08-31 23:59:59.0<NA>202827.319821445717.213521광고대행
93220000199132201040820007619990805<NA>3폐업40폐업20050830<NA><NA><NA>02 5293618<NA><NA>서울특별시 강남구 도곡동 ***-*번지서울특별시 강남구 도곡로 *** (도곡동)<NA>백두산광고1999-08-05 00:00:00I2018-08-31 23:59:59.0<NA>203143.186934443166.609642광고대행
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)영업내용
1395322000020243220174085000042024-01-15<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 ***-* 세진빌딩서울특별시 강남구 삼성로**길 **, 세진빌딩 *층 (삼성동)06159(주)아이랩미디어2024-02-01 12:59:55U2023-12-02 00:03:00.0<NA>204645.262082444999.458565<NA>
1396322000020243220174085000052024-01-19<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 ***-** IS빌딩서울특별시 강남구 테헤란로**길 **, IS빌딩 **층 (역삼동)06221주식회사 엑스오비스2024-02-23 14:20:52U2023-12-01 22:05:00.0<NA>203590.179987444338.108154<NA>
1397322000020243220174085000062024-01-29<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 **-** CC빌딩서울특별시 강남구 봉은사로 ***, CC빌딩 *층, *층 (삼성동)06097(주)메이데이파트너스2024-01-30 08:58:56I2023-12-02 00:01:00.0<NA>204159.494917445500.798313<NA>
1398322000020243220174085000072024-01-29<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 ***-** M TOWER서울특별시 강남구 테헤란로**길 **, M TOWER *층 (삼성동)06167(주)디스트릭트코리아2024-02-22 16:43:37U2023-12-01 22:04:00.0<NA>205054.232909445274.033958<NA>
1399322000020243220174085000082024-02-05<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 ***-* 덕명빌딩서울특별시 강남구 테헤란로 ***, 덕명빌딩 ****호 (삼성동)06173(주)티엠씨2024-02-05 09:37:53I2023-12-02 00:07:00.0<NA>205769.780751445326.634975<NA>
1400322000020243220174085000092024-02-14<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 대치동 ***-** 대일빌딩서울특별시 강남구 삼성로 ***, 대일빌딩 ***호 (대치동)06202나눔디자인 대치점2024-02-14 14:50:01I2023-12-01 23:06:00.0<NA>205107.96464444482.172425<NA>
1401322000020243220174085000102022-07-07<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 청담동 *-* 피엔폴루스서울특별시 강남구 도산대로 ***, 피엔폴루스 ****호 (청담동)06062주식회사 에이알엠2024-03-06 14:44:57I2023-12-03 00:08:00.0<NA>203789.588128446796.1283<NA>
1402322000020243220174085000112021-12-20<NA>1영업/정상20정상<NA><NA><NA><NA>025887066<NA><NA>서울특별시 강남구 도곡동 ***-* 한독빌딩서울특별시 강남구 남부순환로 ****, 한독빌딩 *층 ***호 (도곡동)06271(주)로진2024-03-26 17:39:53I2023-12-02 22:08:00.0<NA>203390.902472442601.78976<NA>
1403322000020243220174085000122024-05-03<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 대치동 ***-** 금강타워서울특별시 강남구 테헤란로 ***, 금강타워 **층 (대치동)06192주식회사 애드리치2024-05-03 13:42:54I2023-12-05 00:05:00.0<NA>204415.919755444704.997995<NA>
14043220000219932201040820001619990321<NA>3폐업40폐업20020626<NA><NA><NA>02 5114620<NA><NA>서울특별시 강남구 신사동 ***-**번지서울특별시 강남구 강남대로***길 ** (신사동)<NA>(주)삼현애드컴1999-03-21 00:00:00I2018-08-31 23:59:59.0<NA>201715.285543446169.757485광고대행