Overview

Dataset statistics

Number of variables26
Number of observations1549
Missing cells11484
Missing cells (%)28.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory331.4 KiB
Average record size in memory219.1 B

Variable types

Categorical6
Numeric4
DateTime5
Unsupported4
Text7

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
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-17848/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (71.8%)Imbalance
영업상태명 is highly imbalanced (71.8%)Imbalance
상세영업상태명 is highly imbalanced (77.7%)Imbalance
재개업일자 is highly imbalanced (99.0%)Imbalance
인허가취소일자 has 1549 (100.0%) missing valuesMissing
폐업일자 has 318 (20.5%) missing valuesMissing
휴업시작일자 has 1534 (99.0%) missing valuesMissing
휴업종료일자 has 1534 (99.0%) missing valuesMissing
전화번호 has 390 (25.2%) missing valuesMissing
소재지면적 has 1549 (100.0%) missing valuesMissing
소재지우편번호 has 1549 (100.0%) missing valuesMissing
도로명주소 has 66 (4.3%) missing valuesMissing
도로명우편번호 has 1238 (79.9%) missing valuesMissing
업태구분명 has 1549 (100.0%) missing valuesMissing
좌표정보(X) has 41 (2.6%) missing valuesMissing
좌표정보(Y) has 41 (2.6%) missing valuesMissing
영업내용 has 111 (7.2%) 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 00:50:07.898690
Analysis finished2024-05-11 00:50:10.708414
Duration2.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
3210000
1549 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3210000
2nd row3210000
3rd row3210000
4th row3210000
5th row3210000

Common Values

ValueCountFrequency (%)
3210000 1549
100.0%

Length

2024-05-11T00:50:11.011401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:50:11.345207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 1549
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct1549
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.003423 × 1018
Minimum1.987321 × 1018
Maximum2.024321 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.7 KiB
2024-05-11T00:50:11.865948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.987321 × 1018
5-th percentile1.995321 × 1018
Q11.997321 × 1018
median2.001321 × 1018
Q32.007321 × 1018
95-th percentile2.019321 × 1018
Maximum2.024321 × 1018
Range3.7000008 × 1016
Interquartile range (IQR)1.0000006 × 1016

Descriptive statistics

Standard deviation7.7355323 × 1015
Coefficient of variation (CV)0.0038611578
Kurtosis-0.0082025735
Mean2.003423 × 1018
Median Absolute Deviation (MAD)5 × 1015
Skewness0.71297373
Sum4.249239 × 1018
Variance5.983846 × 1031
MonotonicityStrictly increasing
2024-05-11T00:50:12.373997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1987321007808200001 1
 
0.1%
2005321007808501039 1
 
0.1%
2005321007808200062 1
 
0.1%
2005321007808200061 1
 
0.1%
2005321007808200060 1
 
0.1%
2005321007808200059 1
 
0.1%
2005321007808200058 1
 
0.1%
2005321007808200057 1
 
0.1%
2005321007808200056 1
 
0.1%
2005321007808200055 1
 
0.1%
Other values (1539) 1539
99.4%
ValueCountFrequency (%)
1987321007808200001 1
0.1%
1988321007808200001 1
0.1%
1988321007808200002 1
0.1%
1988321007808200003 1
0.1%
1988321007808200004 1
0.1%
1988321007808200005 1
0.1%
1988321007808500003 1
0.1%
1988321007808500016 1
0.1%
1989321007808200001 1
0.1%
1989321007808200002 1
0.1%
ValueCountFrequency (%)
2024321015308500001 1
0.1%
2024321014008500002 1
0.1%
2024321014008500001 1
0.1%
2023321015308500008 1
0.1%
2023321015308500007 1
0.1%
2023321015308500006 1
0.1%
2023321015308500005 1
0.1%
2023321015308500004 1
0.1%
2023321015308500003 1
0.1%
2023321015308500002 1
0.1%

인허가일자
Date

Distinct1082
Distinct (%)69.9%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
Minimum1987-07-18 00:00:00
Maximum2024-03-19 00:00:00
2024-05-11T00:50:12.927119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:50:13.473794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1549
Missing (%)100.0%
Memory size13.7 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
3
1363 
1
178 
2
 
6
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 1363
88.0%
1 178
 
11.5%
2 6
 
0.4%
4 2
 
0.1%

Length

2024-05-11T00:50:14.018810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:50:14.393954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1363
88.0%
1 178
 
11.5%
2 6
 
0.4%
4 2
 
0.1%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
폐업
1363 
영업/정상
178 
휴업
 
6
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length2
Mean length2.3602324
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1363
88.0%
영업/정상 178
 
11.5%
휴업 6
 
0.4%
취소/말소/만료/정지/중지 2
 
0.1%

Length

2024-05-11T00:50:14.807838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:50:15.327567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1363
88.0%
영업/정상 178
 
11.5%
휴업 6
 
0.4%
취소/말소/만료/정지/중지 2
 
0.1%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.679793
Minimum1
Maximum73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.7 KiB
2024-05-11T00:50:15.744273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile20
Q140
median40
Q340
95-th percentile40
Maximum73
Range72
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.6157541
Coefficient of variation (CV)0.1755783
Kurtosis5.0055494
Mean37.679793
Median Absolute Deviation (MAD)0
Skewness-2.1801343
Sum58366
Variance43.768203
MonotonicityNot monotonic
2024-05-11T00:50:16.194796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
40 1363
88.0%
20 176
 
11.4%
30 6
 
0.4%
1 2
 
0.1%
73 1
 
0.1%
71 1
 
0.1%
ValueCountFrequency (%)
1 2
 
0.1%
20 176
 
11.4%
30 6
 
0.4%
40 1363
88.0%
71 1
 
0.1%
73 1
 
0.1%
ValueCountFrequency (%)
73 1
 
0.1%
71 1
 
0.1%
40 1363
88.0%
30 6
 
0.4%
20 176
 
11.4%
1 2
 
0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
폐업
1363 
정상
176 
휴업
 
6
<NA>
 
2
신청취소(불허가)
 
1

Length

Max length9
Median length2
Mean length2.0109748
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1363
88.0%
정상 176
 
11.4%
휴업 6
 
0.4%
<NA> 2
 
0.1%
신청취소(불허가) 1
 
0.1%
신청취소(취하) 1
 
0.1%

Length

2024-05-11T00:50:16.634222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:50:17.049980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1363
88.0%
정상 176
 
11.4%
휴업 6
 
0.4%
na 2
 
0.1%
신청취소(불허가 1
 
0.1%
신청취소(취하 1
 
0.1%

폐업일자
Date

MISSING 

Distinct569
Distinct (%)46.2%
Missing318
Missing (%)20.5%
Memory size12.2 KiB
Minimum1996-08-17 00:00:00
Maximum2024-04-29 00:00:00
2024-05-11T00:50:17.700643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:50:18.247076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct14
Distinct (%)93.3%
Missing1534
Missing (%)99.0%
Memory size12.2 KiB
Minimum2009-07-01 00:00:00
Maximum2021-10-28 00:00:00
2024-05-11T00:50:18.725826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:50:19.609926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

휴업종료일자
Text

MISSING 

Distinct14
Distinct (%)93.3%
Missing1534
Missing (%)99.0%
Memory size12.2 KiB
2024-05-11T00:50:20.164671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.1333333
Min length8

Characters and Unicode

Total characters122
Distinct characters10
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

Unique13 ?
Unique (%)86.7%

Sample

1st row20210211
2nd row20140113
3rd row20110906
4th row20150910
5th row20221212
ValueCountFrequency (%)
20140113 2
13.3%
20210211 1
 
6.7%
20110906 1
 
6.7%
20150910 1
 
6.7%
20221212 1
 
6.7%
20161231 1
 
6.7%
20091231 1
 
6.7%
20130625 1
 
6.7%
20171231 1
 
6.7%
20200630 1
 
6.7%
Other values (4) 4
26.7%
2024-05-11T00:50:21.108537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 32
26.2%
2 30
24.6%
0 28
23.0%
3 11
 
9.0%
9 7
 
5.7%
6 5
 
4.1%
7 3
 
2.5%
4 2
 
1.6%
5 2
 
1.6%
- 2
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 120
98.4%
Dash Punctuation 2
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 32
26.7%
2 30
25.0%
0 28
23.3%
3 11
 
9.2%
9 7
 
5.8%
6 5
 
4.2%
7 3
 
2.5%
4 2
 
1.7%
5 2
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 122
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 32
26.2%
2 30
24.6%
0 28
23.0%
3 11
 
9.0%
9 7
 
5.7%
6 5
 
4.1%
7 3
 
2.5%
4 2
 
1.6%
5 2
 
1.6%
- 2
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 122
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 32
26.2%
2 30
24.6%
0 28
23.0%
3 11
 
9.0%
9 7
 
5.7%
6 5
 
4.1%
7 3
 
2.5%
4 2
 
1.6%
5 2
 
1.6%
- 2
 
1.6%

재개업일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
<NA>
1547 
20110817
 
1
20141014
 
1

Length

Max length8
Median length4
Mean length4.0051646
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1547
99.9%
20110817 1
 
0.1%
20141014 1
 
0.1%

Length

2024-05-11T00:50:21.800418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:50:22.298263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1547
99.9%
20110817 1
 
0.1%
20141014 1
 
0.1%

전화번호
Text

MISSING 

Distinct1094
Distinct (%)94.4%
Missing390
Missing (%)25.2%
Memory size12.2 KiB
2024-05-11T00:50:23.287920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.9007765
Min length7

Characters and Unicode

Total characters11475
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

Unique1034 ?
Unique (%)89.2%

Sample

1st row585 3131
2nd row0234823603
3rd row5443508
4th row5853101
5th row5932851
ValueCountFrequency (%)
02 589
27.6%
585 19
 
0.9%
571 16
 
0.7%
578 15
 
0.7%
577 14
 
0.7%
529 12
 
0.6%
579 12
 
0.6%
597 12
 
0.6%
525 12
 
0.6%
575 11
 
0.5%
Other values (1158) 1425
66.7%
2024-05-11T00:50:24.733135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1587
13.8%
0 1536
13.4%
5 1487
13.0%
1420
12.4%
7 947
8.3%
4 863
7.5%
3 859
7.5%
1 840
7.3%
8 725
6.3%
6 649
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10055
87.6%
Space Separator 1420
 
12.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1587
15.8%
0 1536
15.3%
5 1487
14.8%
7 947
9.4%
4 863
8.6%
3 859
8.5%
1 840
8.4%
8 725
7.2%
6 649
6.5%
9 562
 
5.6%
Space Separator
ValueCountFrequency (%)
1420
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11475
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1587
13.8%
0 1536
13.4%
5 1487
13.0%
1420
12.4%
7 947
8.3%
4 863
7.5%
3 859
7.5%
1 840
7.3%
8 725
6.3%
6 649
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11475
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1587
13.8%
0 1536
13.4%
5 1487
13.0%
1420
12.4%
7 947
8.3%
4 863
7.5%
3 859
7.5%
1 840
7.3%
8 725
6.3%
6 649
5.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1549
Missing (%)100.0%
Memory size13.7 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1549
Missing (%)100.0%
Memory size13.7 KiB

지번주소
Text

Distinct787
Distinct (%)51.3%
Missing15
Missing (%)1.0%
Memory size12.2 KiB
2024-05-11T00:50:25.393651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length39.5
Mean length27.732073
Min length18

Characters and Unicode

Total characters42541
Distinct characters316
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique660 ?
Unique (%)43.0%

Sample

1st row서울특별시 서초구 방배동 ***-** *층
2nd row서울특별시 서초구 서초동 ****-*번지 르네상스빌딩 ****호
3rd row서울특별시 서초구 잠원동 *-*번지
4th row서울특별시 서초구 서초동 ****-*번지
5th row서울특별시 서초구 방배동 ***-*번지 경남빌딩 ***
ValueCountFrequency (%)
서울특별시 1531
19.4%
서초구 1524
19.4%
번지 1348
17.1%
서초동 514
 
6.5%
양재동 434
 
5.5%
통*반 366
 
4.6%
방배동 306
 
3.9%
호 301
 
3.8%
층 233
 
3.0%
222
 
2.8%
Other values (568) 1094
13.9%
2024-05-11T00:50:26.607239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 9167
21.5%
7571
17.8%
서 3627
 
8.5%
초 2066
 
4.9%
동 1619
 
3.8%
시 1539
 
3.6%
구 1538
 
3.6%
울 1536
 
3.6%
별 1531
 
3.6%
특 1531
 
3.6%
Other values (306) 10816
25.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24195
56.9%
Other Punctuation 9186
 
21.6%
Space Separator 7571
 
17.8%
Dash Punctuation 1465
 
3.4%
Uppercase Letter 102
 
0.2%
Decimal Number 11
 
< 0.1%
Lowercase Letter 10
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 3627
15.0%
초 2066
 
8.5%
동 1619
 
6.7%
시 1539
 
6.4%
구 1538
 
6.4%
울 1536
 
6.3%
별 1531
 
6.3%
특 1531
 
6.3%
지 1414
 
5.8%
번 1348
 
5.6%
Other values (267) 6446
26.6%
Uppercase Letter
ValueCountFrequency (%)
B 22
21.6%
A 15
14.7%
E 8
 
7.8%
D 7
 
6.9%
L 6
 
5.9%
R 5
 
4.9%
C 5
 
4.9%
M 4
 
3.9%
K 4
 
3.9%
J 4
 
3.9%
Other values (10) 22
21.6%
Decimal Number
ValueCountFrequency (%)
3 4
36.4%
8 2
18.2%
0 2
18.2%
1 1
 
9.1%
5 1
 
9.1%
2 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
* 9167
99.8%
, 10
 
0.1%
/ 6
 
0.1%
& 2
 
< 0.1%
. 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
l 4
40.0%
e 2
20.0%
a 2
20.0%
w 1
 
10.0%
i 1
 
10.0%
Space Separator
ValueCountFrequency (%)
7571
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1465
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24195
56.9%
Common 18234
42.9%
Latin 112
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 3627
15.0%
초 2066
 
8.5%
동 1619
 
6.7%
시 1539
 
6.4%
구 1538
 
6.4%
울 1536
 
6.3%
별 1531
 
6.3%
특 1531
 
6.3%
지 1414
 
5.8%
번 1348
 
5.6%
Other values (267) 6446
26.6%
Latin
ValueCountFrequency (%)
B 22
19.6%
A 15
13.4%
E 8
 
7.1%
D 7
 
6.2%
L 6
 
5.4%
R 5
 
4.5%
C 5
 
4.5%
M 4
 
3.6%
l 4
 
3.6%
K 4
 
3.6%
Other values (15) 32
28.6%
Common
ValueCountFrequency (%)
* 9167
50.3%
7571
41.5%
- 1465
 
8.0%
, 10
 
0.1%
/ 6
 
< 0.1%
3 4
 
< 0.1%
8 2
 
< 0.1%
0 2
 
< 0.1%
& 2
 
< 0.1%
1 1
 
< 0.1%
Other values (4) 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24195
56.9%
ASCII 18346
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 9167
50.0%
7571
41.3%
- 1465
 
8.0%
B 22
 
0.1%
A 15
 
0.1%
, 10
 
0.1%
E 8
 
< 0.1%
D 7
 
< 0.1%
/ 6
 
< 0.1%
L 6
 
< 0.1%
Other values (29) 69
 
0.4%
Hangul
ValueCountFrequency (%)
서 3627
15.0%
초 2066
 
8.5%
동 1619
 
6.7%
시 1539
 
6.4%
구 1538
 
6.4%
울 1536
 
6.3%
별 1531
 
6.3%
특 1531
 
6.3%
지 1414
 
5.8%
번 1348
 
5.6%
Other values (267) 6446
26.6%

도로명주소
Text

MISSING 

Distinct1023
Distinct (%)69.0%
Missing66
Missing (%)4.3%
Memory size12.2 KiB
2024-05-11T00:50:27.592993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length42
Mean length31.181389
Min length18

Characters and Unicode

Total characters46242
Distinct characters340
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

Unique820 ?
Unique (%)55.3%

Sample

1st row서울특별시 서초구 도구로 ***-* (방배동,*층)
2nd row서울특별시 서초구 서초중앙로 ** (서초동, 르네상스빌딩 ****호)
3rd row서울특별시 서초구 강남대로***길 ** (잠원동)
4th row서울특별시 서초구 사임당로 ** (서초동)
5th row서울특별시 서초구 방배로 *** (방배동,경남빌딩 ***)
ValueCountFrequency (%)
1516
18.1%
서울특별시 1481
17.7%
서초구 1478
17.7%
호 334
 
4.0%
서초동 292
 
3.5%
양재동 275
 
3.3%
층 248
 
3.0%
방배동 208
 
2.5%
강남대로**길 106
 
1.3%
서초대로**길 87
 
1.0%
Other values (728) 2345
28.0%
2024-05-11T00:50:29.362064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7884
17.0%
* 7026
15.2%
서 3764
 
8.1%
초 2201
 
4.8%
동 1651
 
3.6%
구 1498
 
3.2%
시 1489
 
3.2%
울 1486
 
3.2%
( 1484
 
3.2%
) 1484
 
3.2%
Other values (330) 16275
35.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26901
58.2%
Other Punctuation 8114
 
17.5%
Space Separator 7884
 
17.0%
Open Punctuation 1484
 
3.2%
Close Punctuation 1484
 
3.2%
Dash Punctuation 254
 
0.5%
Uppercase Letter 95
 
0.2%
Decimal Number 14
 
< 0.1%
Lowercase Letter 10
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 3764
 
14.0%
초 2201
 
8.2%
동 1651
 
6.1%
구 1498
 
5.6%
시 1489
 
5.5%
울 1486
 
5.5%
별 1481
 
5.5%
특 1481
 
5.5%
로 1447
 
5.4%
길 908
 
3.4%
Other values (287) 9495
35.3%
Uppercase Letter
ValueCountFrequency (%)
B 26
27.4%
A 14
14.7%
D 6
 
6.3%
L 6
 
6.3%
K 5
 
5.3%
E 5
 
5.3%
C 5
 
5.3%
J 4
 
4.2%
M 4
 
4.2%
R 3
 
3.2%
Other values (10) 17
17.9%
Decimal Number
ValueCountFrequency (%)
4 3
21.4%
1 3
21.4%
2 2
14.3%
9 2
14.3%
3 1
 
7.1%
6 1
 
7.1%
7 1
 
7.1%
0 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
* 7026
86.6%
, 1078
 
13.3%
/ 6
 
0.1%
& 2
 
< 0.1%
. 2
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
l 4
40.0%
a 2
20.0%
e 2
20.0%
i 1
 
10.0%
w 1
 
10.0%
Space Separator
ValueCountFrequency (%)
7884
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1484
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1484
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 254
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26901
58.2%
Common 19236
41.6%
Latin 105
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 3764
 
14.0%
초 2201
 
8.2%
동 1651
 
6.1%
구 1498
 
5.6%
시 1489
 
5.5%
울 1486
 
5.5%
별 1481
 
5.5%
특 1481
 
5.5%
로 1447
 
5.4%
길 908
 
3.4%
Other values (287) 9495
35.3%
Latin
ValueCountFrequency (%)
B 26
24.8%
A 14
13.3%
D 6
 
5.7%
L 6
 
5.7%
K 5
 
4.8%
E 5
 
4.8%
C 5
 
4.8%
J 4
 
3.8%
M 4
 
3.8%
l 4
 
3.8%
Other values (15) 26
24.8%
Common
ValueCountFrequency (%)
7884
41.0%
* 7026
36.5%
( 1484
 
7.7%
) 1484
 
7.7%
, 1078
 
5.6%
- 254
 
1.3%
/ 6
 
< 0.1%
4 3
 
< 0.1%
1 3
 
< 0.1%
~ 2
 
< 0.1%
Other values (8) 12
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26901
58.2%
ASCII 19341
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7884
40.8%
* 7026
36.3%
( 1484
 
7.7%
) 1484
 
7.7%
, 1078
 
5.6%
- 254
 
1.3%
B 26
 
0.1%
A 14
 
0.1%
D 6
 
< 0.1%
L 6
 
< 0.1%
Other values (33) 79
 
0.4%
Hangul
ValueCountFrequency (%)
서 3764
 
14.0%
초 2201
 
8.2%
동 1651
 
6.1%
구 1498
 
5.6%
시 1489
 
5.5%
울 1486
 
5.5%
별 1481
 
5.5%
특 1481
 
5.5%
로 1447
 
5.4%
길 908
 
3.4%
Other values (287) 9495
35.3%

도로명우편번호
Text

MISSING 

Distinct175
Distinct (%)56.3%
Missing1238
Missing (%)79.9%
Memory size12.2 KiB
2024-05-11T00:50:30.687452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3311897
Min length5

Characters and Unicode

Total characters1658
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

Unique101 ?
Unique (%)32.5%

Sample

1st row137073
2nd row137882
3rd row137886
4th row137883
5th row137829
ValueCountFrequency (%)
137061 8
 
2.6%
06651 7
 
2.3%
06654 7
 
2.3%
06732 6
 
1.9%
137896 5
 
1.6%
06779 5
 
1.6%
137071 5
 
1.6%
06664 4
 
1.3%
06742 4
 
1.3%
06748 4
 
1.3%
Other values (165) 256
82.3%
2024-05-11T00:50:32.654381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 341
20.6%
0 282
17.0%
7 257
15.5%
1 174
10.5%
3 172
10.4%
8 114
 
6.9%
5 113
 
6.8%
4 81
 
4.9%
2 68
 
4.1%
9 55
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1657
99.9%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 341
20.6%
0 282
17.0%
7 257
15.5%
1 174
10.5%
3 172
10.4%
8 114
 
6.9%
5 113
 
6.8%
4 81
 
4.9%
2 68
 
4.1%
9 55
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1658
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 341
20.6%
0 282
17.0%
7 257
15.5%
1 174
10.5%
3 172
10.4%
8 114
 
6.9%
5 113
 
6.8%
4 81
 
4.9%
2 68
 
4.1%
9 55
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1658
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 341
20.6%
0 282
17.0%
7 257
15.5%
1 174
10.5%
3 172
10.4%
8 114
 
6.9%
5 113
 
6.8%
4 81
 
4.9%
2 68
 
4.1%
9 55
 
3.3%

사업장명
Text

Distinct1406
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
2024-05-11T00:50:33.486425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length6.8863783
Min length2

Characters and Unicode

Total characters10667
Distinct characters482
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1275 ?
Unique (%)82.3%

Sample

1st row삼일사
2nd row한국교통광고(주)
3rd row명진광고
4th row(주)정문
5th row(주)20세기
ValueCountFrequency (%)
주식회사 60
 
3.5%
디자인 13
 
0.8%
애드 5
 
0.3%
주 5
 
0.3%
기획 5
 
0.3%
주)에스코스 3
 
0.2%
애드컴 3
 
0.2%
서울 3
 
0.2%
주)좋은인상 3
 
0.2%
코리아 3
 
0.2%
Other values (1452) 1615
94.0%
2024-05-11T00:50:34.643152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 850
 
8.0%
) 767
 
7.2%
( 764
 
7.2%
이 332
 
3.1%
인 292
 
2.7%
기 272
 
2.5%
드 257
 
2.4%
스 257
 
2.4%
획 233
 
2.2%
디 232
 
2.2%
Other values (472) 6411
60.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8776
82.3%
Close Punctuation 767
 
7.2%
Open Punctuation 764
 
7.2%
Space Separator 175
 
1.6%
Uppercase Letter 114
 
1.1%
Decimal Number 30
 
0.3%
Lowercase Letter 23
 
0.2%
Other Punctuation 8
 
0.1%
Dash Punctuation 5
 
< 0.1%
Other Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 850
 
9.7%
이 332
 
3.8%
인 292
 
3.3%
기 272
 
3.1%
드 257
 
2.9%
스 257
 
2.9%
획 233
 
2.7%
디 232
 
2.6%
애 200
 
2.3%
아 162
 
1.8%
Other values (426) 5689
64.8%
Uppercase Letter
ValueCountFrequency (%)
S 15
13.2%
T 12
10.5%
O 10
 
8.8%
A 10
 
8.8%
N 10
 
8.8%
D 7
 
6.1%
I 7
 
6.1%
K 5
 
4.4%
E 5
 
4.4%
R 5
 
4.4%
Other values (13) 28
24.6%
Lowercase Letter
ValueCountFrequency (%)
o 5
21.7%
a 5
21.7%
t 4
17.4%
l 3
13.0%
c 2
 
8.7%
e 1
 
4.3%
n 1
 
4.3%
d 1
 
4.3%
m 1
 
4.3%
Decimal Number
ValueCountFrequency (%)
3 9
30.0%
0 7
23.3%
2 7
23.3%
1 4
13.3%
5 2
 
6.7%
4 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 7
87.5%
& 1
 
12.5%
Close Punctuation
ValueCountFrequency (%)
) 767
100.0%
Open Punctuation
ValueCountFrequency (%)
( 764
100.0%
Space Separator
ValueCountFrequency (%)
175
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8780
82.3%
Common 1750
 
16.4%
Latin 137
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 850
 
9.7%
이 332
 
3.8%
인 292
 
3.3%
기 272
 
3.1%
드 257
 
2.9%
스 257
 
2.9%
획 233
 
2.7%
디 232
 
2.6%
애 200
 
2.3%
아 162
 
1.8%
Other values (427) 5693
64.8%
Latin
ValueCountFrequency (%)
S 15
 
10.9%
T 12
 
8.8%
O 10
 
7.3%
A 10
 
7.3%
N 10
 
7.3%
D 7
 
5.1%
I 7
 
5.1%
K 5
 
3.6%
E 5
 
3.6%
R 5
 
3.6%
Other values (22) 51
37.2%
Common
ValueCountFrequency (%)
) 767
43.8%
( 764
43.7%
175
 
10.0%
3 9
 
0.5%
. 7
 
0.4%
0 7
 
0.4%
2 7
 
0.4%
- 5
 
0.3%
1 4
 
0.2%
5 2
 
0.1%
Other values (3) 3
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8776
82.3%
ASCII 1887
 
17.7%
None 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 850
 
9.7%
이 332
 
3.8%
인 292
 
3.3%
기 272
 
3.1%
드 257
 
2.9%
스 257
 
2.9%
획 233
 
2.7%
디 232
 
2.6%
애 200
 
2.3%
아 162
 
1.8%
Other values (426) 5689
64.8%
ASCII
ValueCountFrequency (%)
) 767
40.6%
( 764
40.5%
175
 
9.3%
S 15
 
0.8%
T 12
 
0.6%
O 10
 
0.5%
A 10
 
0.5%
N 10
 
0.5%
3 9
 
0.5%
D 7
 
0.4%
Other values (35) 108
 
5.7%
None
ValueCountFrequency (%)
㈜ 4
100.0%

최종수정일자
Date

Distinct1218
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
Minimum1989-01-01 00:00:00
Maximum2024-04-29 09:51:06
2024-05-11T00:50:35.124952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:50:35.608588image/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 size12.2 KiB
I
1320 
U
229 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1320
85.2%
U 229
 
14.8%

Length

2024-05-11T00:50:36.000803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:50:36.312039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1320
85.2%
u 229
 
14.8%

데이터갱신일자
Date

Distinct206
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:01:00
2024-05-11T00:50:36.663286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:50:37.107318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1549
Missing (%)100.0%
Memory size13.7 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct953
Distinct (%)63.2%
Missing41
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean201764.08
Minimum190479.9
Maximum293452.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.7 KiB
2024-05-11T00:50:37.564362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190479.9
5-th percentile198656.16
Q1200724.57
median201664.09
Q3203350.41
95-th percentile204010.11
Maximum293452.51
Range102972.61
Interquartile range (IQR)2625.838

Descriptive statistics

Standard deviation2992.3364
Coefficient of variation (CV)0.014830868
Kurtosis585.25224
Mean201764.08
Median Absolute Deviation (MAD)1411.7041
Skewness19.141103
Sum3.0426024 × 108
Variance8954077.3
MonotonicityNot monotonic
2024-05-11T00:50:38.090275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201184.994931613 18
 
1.2%
200554.74395758 13
 
0.8%
201288.890133376 13
 
0.8%
202481.661169413 10
 
0.6%
203865.709970943 10
 
0.6%
202202.174934321 10
 
0.6%
202508.646065919 8
 
0.5%
202623.297219041 7
 
0.5%
201213.64069933 7
 
0.5%
201564.163396511 6
 
0.4%
Other values (943) 1406
90.8%
(Missing) 41
 
2.6%
ValueCountFrequency (%)
190479.902194476 1
 
0.1%
195652.990363019 1
 
0.1%
198357.319178572 1
 
0.1%
198398.077874485 1
 
0.1%
198402.122324191 3
0.2%
198407.667634842 1
 
0.1%
198409.59135773 1
 
0.1%
198423.213354706 1
 
0.1%
198426.66111184 1
 
0.1%
198444.667531433 2
0.1%
ValueCountFrequency (%)
293452.514227267 1
0.1%
217068.0 1
0.1%
211037.400876762 1
0.1%
209266.32947403 1
0.1%
209161.823018931 1
0.1%
208937.760652081 1
0.1%
207766.380638846 1
0.1%
207679.827377602 2
0.1%
207136.404532812 1
0.1%
205056.400711248 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct953
Distinct (%)63.2%
Missing41
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean442784.64
Minimum429348.92
Maximum449452.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.7 KiB
2024-05-11T00:50:38.548015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum429348.92
5-th percentile440776.25
Q1441704.84
median442622.71
Q3443468.78
95-th percentile445537.11
Maximum449452.49
Range20103.563
Interquartile range (IQR)1763.9446

Descriptive statistics

Standard deviation1450.0495
Coefficient of variation (CV)0.0032748415
Kurtosis4.926779
Mean442784.64
Median Absolute Deviation (MAD)884.28939
Skewness0.011335615
Sum6.6771923 × 108
Variance2102643.6
MonotonicityNot monotonic
2024-05-11T00:50:39.051915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442857.184989612 18
 
1.2%
444811.364826199 13
 
0.8%
442555.172193254 13
 
0.8%
442563.269271521 10
 
0.6%
441674.893877771 10
 
0.6%
442809.599547245 10
 
0.6%
442625.413940559 8
 
0.5%
443154.964346798 7
 
0.5%
442739.647017252 7
 
0.5%
445742.690982661 6
 
0.4%
Other values (943) 1406
90.8%
(Missing) 41
 
2.6%
ValueCountFrequency (%)
429348.924404431 1
0.1%
438324.966150657 1
0.1%
438376.272604803 1
0.1%
439183.142593677 1
0.1%
439194.897697758 1
0.1%
439425.268492481 1
0.1%
439443.185932126 1
0.1%
439564.755203245 1
0.1%
439726.014613043 2
0.1%
439960.533113874 2
0.1%
ValueCountFrequency (%)
449452.487363496 1
 
0.1%
449254.0 1
 
0.1%
446454.723232725 1
 
0.1%
446206.354902748 2
 
0.1%
446161.210184935 6
0.4%
446149.866717583 1
 
0.1%
446144.110278895 1
 
0.1%
446135.828367442 1
 
0.1%
446105.536208478 1
 
0.1%
446105.495210166 1
 
0.1%

영업내용
Text

MISSING 

Distinct237
Distinct (%)16.5%
Missing111
Missing (%)7.2%
Memory size12.2 KiB
2024-05-11T00:50:39.756260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length27
Mean length6.0618915
Min length1

Characters and Unicode

Total characters8717
Distinct characters130
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

Unique176 ?
Unique (%)12.2%

Sample

1st row옥외광고물 제작업 및 대행업
2nd row옥외광고물 제작
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
옥외광고업 540
25.3%
0 293
13.7%
및 177
 
8.3%
옥외광고물 133
 
6.2%
제작 106
 
5.0%
광고대행 80
 
3.8%
옥외광고 80
 
3.8%
대행 77
 
3.6%
대행업 44
 
2.1%
광고물제작 42
 
2.0%
Other values (188) 561
26.3%
2024-05-11T00:50:41.267530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 1225
14.1%
고 1221
14.0%
외 926
10.6%
옥 923
10.6%
업 739
8.5%
695
8.0%
제 332
 
3.8%
작 324
 
3.7%
물 319
 
3.7%
0 302
 
3.5%
Other values (120) 1711
19.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7502
86.1%
Space Separator 695
 
8.0%
Decimal Number 335
 
3.8%
Other Punctuation 96
 
1.1%
Open Punctuation 43
 
0.5%
Close Punctuation 43
 
0.5%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 1225
16.3%
고 1221
16.3%
외 926
12.3%
옥 923
12.3%
업 739
9.9%
제 332
 
4.4%
작 324
 
4.3%
물 319
 
4.3%
대 293
 
3.9%
행 292
 
3.9%
Other values (106) 908
12.1%
Decimal Number
ValueCountFrequency (%)
0 302
90.1%
1 30
 
9.0%
8 1
 
0.3%
7 1
 
0.3%
2 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 89
92.7%
. 6
 
6.2%
/ 1
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
K 1
33.3%
T 1
33.3%
X 1
33.3%
Space Separator
ValueCountFrequency (%)
695
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7502
86.1%
Common 1212
 
13.9%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 1225
16.3%
고 1221
16.3%
외 926
12.3%
옥 923
12.3%
업 739
9.9%
제 332
 
4.4%
작 324
 
4.3%
물 319
 
4.3%
대 293
 
3.9%
행 292
 
3.9%
Other values (106) 908
12.1%
Common
ValueCountFrequency (%)
695
57.3%
0 302
24.9%
, 89
 
7.3%
( 43
 
3.5%
) 43
 
3.5%
1 30
 
2.5%
. 6
 
0.5%
8 1
 
0.1%
7 1
 
0.1%
/ 1
 
0.1%
Latin
ValueCountFrequency (%)
K 1
33.3%
T 1
33.3%
X 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7502
86.1%
ASCII 1215
 
13.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 1225
16.3%
고 1221
16.3%
외 926
12.3%
옥 923
12.3%
업 739
9.9%
제 332
 
4.4%
작 324
 
4.3%
물 319
 
4.3%
대 293
 
3.9%
행 292
 
3.9%
Other values (106) 908
12.1%
ASCII
ValueCountFrequency (%)
695
57.2%
0 302
24.9%
, 89
 
7.3%
( 43
 
3.5%
) 43
 
3.5%
1 30
 
2.5%
. 6
 
0.5%
8 1
 
0.1%
7 1
 
0.1%
/ 1
 
0.1%
Other values (4) 4
 
0.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)영업내용
03210000198732100780820000119870718<NA>3폐업40폐업20210913<NA><NA><NA>585 3131<NA><NA>서울특별시 서초구 방배동 ***-** *층서울특별시 서초구 도구로 ***-* (방배동,*층)<NA>삼일사2021-09-13 14:44:23U2021-09-15 02:40:00.0<NA>198677.253377442781.291554옥외광고물 제작업 및 대행업
13210000198832100780820000119880718<NA>3폐업40폐업<NA><NA><NA><NA>0234823603<NA><NA>서울특별시 서초구 서초동 ****-*번지 르네상스빌딩 ****호서울특별시 서초구 서초중앙로 ** (서초동, 르네상스빌딩 ****호)137073한국교통광고(주)2012-09-27 17:07:21I2018-08-31 23:59:59.0<NA>201184.994932442857.18499옥외광고물 제작
23210000198832100780820000219880718<NA>3폐업40폐업20030122<NA><NA><NA>5443508<NA><NA>서울특별시 서초구 잠원동 *-*번지서울특별시 서초구 강남대로***길 ** (잠원동)<NA>명진광고2007-12-21 09:03:27I2018-08-31 23:59:59.0<NA>201510.475699446149.8667180
33210000198832100780820000319880718<NA>3폐업40폐업20020329<NA><NA><NA>5853101<NA><NA>서울특별시 서초구 서초동 ****-*번지서울특별시 서초구 사임당로 ** (서초동)<NA>(주)정문2007-12-20 18:40:24I2018-08-31 23:59:59.0<NA>201176.159311442917.346140
43210000198832100780820000419880718<NA>3폐업40폐업20060210<NA><NA><NA>5932851<NA><NA>서울특별시 서초구 방배동 ***-*번지 경남빌딩 ***서울특별시 서초구 방배로 *** (방배동,경남빌딩 ***)<NA>(주)20세기2007-12-21 10:33:26I2018-08-31 23:59:59.0<NA>199212.327851443210.729360
53210000198832100780820000520080218<NA>3폐업40폐업<NA><NA><NA><NA>34771600<NA><NA>서울특별시 서초구 방배동 ***-**번지 영춘빌딩 ***호서울특별시 서초구 방배로 ***, ***호 (방배동,영춘빌딩)<NA>(주)동양애드2008-02-18 17:44:45I2018-08-31 23:59:59.0<NA>199018.060804443468.781039옥외광고업
63210000198832100780850000319880718<NA>3폐업40폐업19961218<NA><NA><NA>02 548 8288<NA><NA>서울특별시 서초구 반포동 ***-*번지 *통*반<NA><NA>영동종합광고2008-02-01 21:21:33I2018-08-31 23:59:59.0<NA>201820.319391445297.995131옥외광고업
73210000198832100780850001619880717<NA>3폐업40폐업20151218<NA><NA><NA>02 34771600<NA><NA>서울특별시 서초구 방배동 ***-**번지 영춘빌딩 ***호서울특별시 서초구 방배로 ***, ***호 (방배동,영춘빌딩)<NA>(주)동양애드2015-12-17 18:06:28I2018-08-31 23:59:59.0<NA>199018.060804443468.781039옥외광고업
83210000198932100780820000119890305<NA>3폐업40폐업20040827<NA><NA><NA>5995040<NA><NA>서울특별시 서초구 방배동 ***-*번지서울특별시 서초구 방배천로 *** (방배동)<NA>명중광고2007-12-20 17:19:56I2018-08-31 23:59:59.0<NA>198806.664108443002.6692370
93210000198932100780820000219890306<NA>3폐업40폐업20120308<NA><NA><NA>5526119<NA><NA>서울특별시 서초구 서초동 ****-*번지서울특별시 서초구 강남대로**길 * (서초동)<NA>영동광고2012-03-09 16:59:47I2018-08-31 23:59:59.0<NA>202109.50021444403.3202520
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)영업내용
15393210000202332101530850000220200915<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 잠원동 **-**서울특별시 서초구 잠원로 *** (잠원동)06514플레져2023-01-25 15:22:56I2022-11-30 22:07:00.0<NA>201204.97304446454.723233<NA>
1540321000020233210153085000032023-01-25<NA>3폐업40폐업2024-04-292021-09-139999-12-31<NA><NA><NA><NA>서울특별시 서초구 양재동 ***-**서울특별시 서초구 강남대로**길 *, 세한빌딩 *층 (양재동)06778주식회사 시더2024-04-29 09:51:06U2023-12-05 00:01:00.0<NA>203393.266391441099.322289<NA>
1541321000020233210153085000042023-01-31<NA>1영업/정상20정상<NA><NA><NA><NA>02 63293087<NA><NA>서울특별시 서초구 방배동 ***-* 비젼하우스서울특별시 서초구 방배중앙로 **, 비젼하우스 *층 (방배동)06684한국버스방송 주식회사2023-02-10 15:43:16I2022-12-01 23:02:00.0<NA>199270.206253442224.046392<NA>
1542321000020233210153085000052014-09-12<NA>1영업/정상20정상<NA><NA><NA><NA>02 5660710<NA><NA>서울특별시 서초구 방배동 ***-* 솜씨서울특별시 서초구 동광로*길 **, 솜씨빌딩 (방배동)06554(주) 솜 씨2023-03-07 16:17:12I2022-12-03 00:09:00.0<NA>198487.78066443796.092988<NA>
1543321000020233210153085000062023-05-11<NA>1영업/정상20정상<NA><NA><NA><NA>02 782 8987<NA><NA>서울특별시 서초구 신원동 *** 서초포레지움서울특별시 서초구 청계산로 ***, 서초포레지움 ***호 (신원동)06802주식회사 위너케이2023-05-23 13:07:59I2022-12-04 22:05:00.0<NA>204894.348399438376.272605<NA>
1544321000020233210153085000072023-06-02<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****-* RM서초빌딩서울특별시 서초구 서초중앙로 **-*, RM서초빌딩 *층 (서초동)06651(주)알엠소프트2023-06-19 19:38:03I2022-12-05 22:01:00.0<NA>201199.064909442819.494552<NA>
1545321000020233210153085000082023-10-10<NA>1영업/정상20정상2013-06-25<NA><NA><NA>02 2268 7738<NA><NA>서울특별시 서초구 방배동 ***-* J.H 빌딩서울특별시 서초구 서초대로 ***, J.H 빌딩 *층 (방배동)06664(주)부시기획2023-10-18 16:16:58I2022-10-30 22:00:00.0<NA>199469.659486442837.378985<NA>
1546321000020243210140085000012024-01-03<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 반포동 ***-* 대유빌딩서울특별시 서초구 강남대로**길 *, 대유빌딩 **층 (반포동)06536(주)시트러스에셋2024-01-04 14:59:27I2023-12-01 00:06:00.0<NA>201928.488232445018.433565<NA>
1547321000020243210140085000022024-03-19<NA>1영업/정상20정상<NA><NA><NA><NA>0264552560<NA><NA>서울특별시 서초구 방배동 ***-** 석호빌딩서울특별시 서초구 방배중앙로 **, 석호빌딩 지하*층 (방배동)06570주식회사 아인종합기획2024-03-20 14:24:39I2023-12-02 22:02:00.0<NA>198932.075408442814.323336<NA>
1548321000020243210153085000012024-03-14<NA>1영업/정상20정상<NA><NA><NA><NA>02 69566862<NA><NA>서울특별시 서초구 방배동 ***-*서울특별시 서초구 서초대로 ***, *층 (방배동)06588주식회사 플러스랩에스2024-03-14 14:20:39I2023-12-02 23:06:00.0<NA>199679.222968442983.188684<NA>