Overview

Dataset statistics

Number of variables30
Number of observations711
Missing cells6389
Missing cells (%)30.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory175.8 KiB
Average record size in memory253.2 B

Variable types

Categorical8
Numeric6
DateTime4
Unsupported5
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),업소구분명,소재지,지정일자,신청일자,항목값1
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-19452/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (75.3%)Imbalance
영업상태명 is highly imbalanced (75.3%)Imbalance
상세영업상태코드 is highly imbalanced (75.5%)Imbalance
상세영업상태명 is highly imbalanced (75.3%)Imbalance
인허가취소일자 has 711 (100.0%) missing valuesMissing
폐업일자 has 627 (88.2%) missing valuesMissing
휴업시작일자 has 684 (96.2%) missing valuesMissing
휴업종료일자 has 711 (100.0%) missing valuesMissing
재개업일자 has 711 (100.0%) missing valuesMissing
전화번호 has 276 (38.8%) missing valuesMissing
소재지면적 has 711 (100.0%) missing valuesMissing
소재지우편번호 has 325 (45.7%) missing valuesMissing
지번주소 has 70 (9.8%) missing valuesMissing
도로명우편번호 has 9 (1.3%) missing valuesMissing
업태구분명 has 711 (100.0%) missing valuesMissing
소재지 has 244 (34.3%) missing valuesMissing
지정일자 has 444 (62.4%) missing valuesMissing
신청일자 has 139 (19.5%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 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
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-06 10:19:41.446853
Analysis finished2024-04-06 10:19:42.721951
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
3000000
711 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000000
2nd row3000000
3rd row3000000
4th row3000000
5th row3000000

Common Values

ValueCountFrequency (%)
3000000 711
100.0%

Length

2024-04-06T19:19:42.841988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:19:43.039912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 711
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct711
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0000001 × 1017
Minimum3.0000001 × 1017
Maximum3.0000001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2024-04-06T19:19:43.252315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.0000001 × 1017
5-th percentile3.0000001 × 1017
Q13.0000001 × 1017
median3.0000001 × 1017
Q33.0000001 × 1017
95-th percentile3.0000001 × 1017
Maximum3.0000001 × 1017
Range1100009
Interquartile range (IQR)499840

Descriptive statistics

Standard deviation339577.39
Coefficient of variation (CV)1.1319246 × 10-12
Kurtosis-0.59561751
Mean3.0000001 × 1017
Median Absolute Deviation (MAD)100032
Skewness0.89118092
Sum-8.0609188 × 1018
Variance1.1531281 × 1011
MonotonicityStrictly increasing
2024-04-06T19:19:43.537687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300000014201300001 1
 
0.1%
300000014201700028 1
 
0.1%
300000014201700008 1
 
0.1%
300000014201700009 1
 
0.1%
300000014201700010 1
 
0.1%
300000014201700011 1
 
0.1%
300000014201700012 1
 
0.1%
300000014201700013 1
 
0.1%
300000014201700014 1
 
0.1%
300000014201700015 1
 
0.1%
Other values (701) 701
98.6%
ValueCountFrequency (%)
300000014201300001 1
0.1%
300000014201300003 1
0.1%
300000014201300004 1
0.1%
300000014201300005 1
0.1%
300000014201300006 1
0.1%
300000014201300007 1
0.1%
300000014201300008 1
0.1%
300000014201300009 1
0.1%
300000014201300010 1
0.1%
300000014201300011 1
0.1%
ValueCountFrequency (%)
300000014202400010 1
0.1%
300000014202400009 1
0.1%
300000014202400008 1
0.1%
300000014202400007 1
0.1%
300000014202400006 1
0.1%
300000014202400005 1
0.1%
300000014202400004 1
0.1%
300000014202400003 1
0.1%
300000014202400002 1
0.1%
300000014202400001 1
0.1%

인허가일자
Date

Distinct297
Distinct (%)41.8%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
Minimum2013-10-23 00:00:00
Maximum2024-04-04 00:00:00
2024-04-06T19:19:43.783155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:19:44.092321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing711
Missing (%)100.0%
Memory size6.4 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
1
625 
3
82 
4
 
2
2
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 625
87.9%
3 82
 
11.5%
4 2
 
0.3%
2 1
 
0.1%
5 1
 
0.1%

Length

2024-04-06T19:19:44.309394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:19:44.514440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 625
87.9%
3 82
 
11.5%
4 2
 
0.3%
2 1
 
0.1%
5 1
 
0.1%

영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
영업/정상
625 
폐업
82 
취소/말소/만료/정지/중지
 
2
휴업
 
1
제외/삭제/전출
 
1

Length

Max length14
Median length5
Mean length4.6793249
Min length2

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 625
87.9%
폐업 82
 
11.5%
취소/말소/만료/정지/중지 2
 
0.3%
휴업 1
 
0.1%
제외/삭제/전출 1
 
0.1%

Length

2024-04-06T19:19:44.760837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:19:44.989436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 625
87.9%
폐업 82
 
11.5%
취소/말소/만료/정지/중지 2
 
0.3%
휴업 1
 
0.1%
제외/삭제/전출 1
 
0.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
11
620 
2
82 
BBBB
 
5
4
 
2
1
 
1

Length

Max length4
Median length2
Mean length1.8931083
Min length1

Unique

Unique2 ?
Unique (%)0.3%

Sample

1st row11
2nd row2
3rd row11
4th row2
5th row11

Common Values

ValueCountFrequency (%)
11 620
87.2%
2 82
 
11.5%
BBBB 5
 
0.7%
4 2
 
0.3%
1 1
 
0.1%
5 1
 
0.1%

Length

2024-04-06T19:19:45.330212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:19:45.622284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 620
87.2%
2 82
 
11.5%
bbbb 5
 
0.7%
4 2
 
0.3%
1 1
 
0.1%
5 1
 
0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
영업
625 
폐업
82 
폐쇄
 
2
휴업
 
1
제외사항
 
1

Length

Max length4
Median length2
Mean length2.0028129
Min length2

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업 625
87.9%
폐업 82
 
11.5%
폐쇄 2
 
0.3%
휴업 1
 
0.1%
제외사항 1
 
0.1%

Length

2024-04-06T19:19:46.330681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:19:46.593286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 625
87.9%
폐업 82
 
11.5%
폐쇄 2
 
0.3%
휴업 1
 
0.1%
제외사항 1
 
0.1%

폐업일자
Date

MISSING 

Distinct69
Distinct (%)82.1%
Missing627
Missing (%)88.2%
Memory size5.7 KiB
Minimum2013-11-21 00:00:00
Maximum2024-04-02 00:00:00
2024-04-06T19:19:46.816853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:19:47.052912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)92.6%
Missing684
Missing (%)96.2%
Infinite0
Infinite (%)0.0%
Mean20162976
Minimum20131121
Maximum20210831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2024-04-06T19:19:47.304579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20131121
5-th percentile20134044
Q120150306
median20150916
Q320180614
95-th percentile20197916
Maximum20210831
Range79710
Interquartile range (IQR)30308

Descriptive statistics

Standard deviation22404.819
Coefficient of variation (CV)0.0011111861
Kurtosis-0.90843845
Mean20162976
Median Absolute Deviation (MAD)10307
Skewness0.49131271
Sum5.4440035 × 108
Variance5.0197593 × 108
MonotonicityNot monotonic
2024-04-06T19:19:47.553857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
20191114 2
 
0.3%
20150914 2
 
0.3%
20140929 1
 
0.1%
20210831 1
 
0.1%
20200831 1
 
0.1%
20190821 1
 
0.1%
20181031 1
 
0.1%
20180130 1
 
0.1%
20160516 1
 
0.1%
20180412 1
 
0.1%
Other values (15) 15
 
2.1%
(Missing) 684
96.2%
ValueCountFrequency (%)
20131121 1
0.1%
20131231 1
0.1%
20140609 1
0.1%
20140715 1
0.1%
20140929 1
0.1%
20141113 1
0.1%
20150302 1
0.1%
20150310 1
0.1%
20150311 1
0.1%
20150401 1
0.1%
ValueCountFrequency (%)
20210831 1
0.1%
20200831 1
0.1%
20191114 2
0.3%
20190821 1
0.1%
20181031 1
0.1%
20180711 1
0.1%
20180517 1
0.1%
20180412 1
0.1%
20180130 1
0.1%
20170904 1
0.1%

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing711
Missing (%)100.0%
Memory size6.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing711
Missing (%)100.0%
Memory size6.4 KiB

전화번호
Text

MISSING 

Distinct409
Distinct (%)94.0%
Missing276
Missing (%)38.8%
Memory size5.7 KiB
2024-04-06T19:19:47.931608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.057471
Min length7

Characters and Unicode

Total characters4810
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

Unique390 ?
Unique (%)89.7%

Sample

1st row02-2236-3660
2nd row02-739-8670
3rd row02-733-3888
4th row02-733-0339
5th row02-763-2101
ValueCountFrequency (%)
02-2103-9500 7
 
1.6%
02-723-0478 3
 
0.7%
070-8808-5643 3
 
0.7%
02-921-1310 2
 
0.5%
02-766-7498 2
 
0.5%
02-3417-0051 2
 
0.5%
02-763-5431 2
 
0.5%
02-763-5012 2
 
0.5%
02-3673-0008 2
 
0.5%
02-738-6112 2
 
0.5%
Other values (399) 408
93.8%
2024-04-06T19:19:48.526470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 816
17.0%
2 779
16.2%
0 676
14.1%
7 550
11.4%
3 416
8.6%
6 334
6.9%
4 312
 
6.5%
5 270
 
5.6%
1 235
 
4.9%
9 223
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3994
83.0%
Dash Punctuation 816
 
17.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 779
19.5%
0 676
16.9%
7 550
13.8%
3 416
10.4%
6 334
8.4%
4 312
7.8%
5 270
 
6.8%
1 235
 
5.9%
9 223
 
5.6%
8 199
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 816
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4810
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 816
17.0%
2 779
16.2%
0 676
14.1%
7 550
11.4%
3 416
8.6%
6 334
6.9%
4 312
 
6.5%
5 270
 
5.6%
1 235
 
4.9%
9 223
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4810
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 816
17.0%
2 779
16.2%
0 676
14.1%
7 550
11.4%
3 416
8.6%
6 334
6.9%
4 312
 
6.5%
5 270
 
5.6%
1 235
 
4.9%
9 223
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing711
Missing (%)100.0%
Memory size6.4 KiB

소재지우편번호
Text

MISSING 

Distinct136
Distinct (%)35.2%
Missing325
Missing (%)45.7%
Memory size5.7 KiB
2024-04-06T19:19:49.108999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0310881
Min length6

Characters and Unicode

Total characters2328
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

Unique51 ?
Unique (%)13.2%

Sample

1st row110826
2nd row110091
3rd row110091
4th row110813
5th row110801
ValueCountFrequency (%)
110862 10
 
2.6%
110340 9
 
2.3%
110827 9
 
2.3%
110111 9
 
2.3%
110837 9
 
2.3%
110130 9
 
2.3%
110521 8
 
2.1%
110551 8
 
2.1%
110530 7
 
1.8%
110126 7
 
1.8%
Other values (126) 301
78.0%
2024-04-06T19:19:49.963474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 923
39.6%
0 628
27.0%
8 160
 
6.9%
2 125
 
5.4%
3 123
 
5.3%
4 120
 
5.2%
5 91
 
3.9%
6 62
 
2.7%
7 58
 
2.5%
9 26
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2316
99.5%
Dash Punctuation 12
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 923
39.9%
0 628
27.1%
8 160
 
6.9%
2 125
 
5.4%
3 123
 
5.3%
4 120
 
5.2%
5 91
 
3.9%
6 62
 
2.7%
7 58
 
2.5%
9 26
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2328
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 923
39.6%
0 628
27.0%
8 160
 
6.9%
2 125
 
5.4%
3 123
 
5.3%
4 120
 
5.2%
5 91
 
3.9%
6 62
 
2.7%
7 58
 
2.5%
9 26
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2328
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 923
39.6%
0 628
27.0%
8 160
 
6.9%
2 125
 
5.4%
3 123
 
5.3%
4 120
 
5.2%
5 91
 
3.9%
6 62
 
2.7%
7 58
 
2.5%
9 26
 
1.1%

지번주소
Text

MISSING 

Distinct604
Distinct (%)94.2%
Missing70
Missing (%)9.8%
Memory size5.7 KiB
2024-04-06T19:19:50.486130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length38
Mean length22.340094
Min length16

Characters and Unicode

Total characters14320
Distinct characters252
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

Unique569 ?
Unique (%)88.8%

Sample

1st row서울특별시 종로구 숭인동 316-2번지
2nd row서울특별시 종로구 행촌동 210-210번지
3rd row서울특별시 종로구 행촌동 210-210번지
4th row서울특별시 종로구 계동 144-1번지
5th row서울특별시 종로구 계동 65-1번지
ValueCountFrequency (%)
서울특별시 641
22.7%
종로구 637
22.5%
숭인동 62
 
2.2%
창신동 51
 
1.8%
1층 39
 
1.4%
평창동 21
 
0.7%
동숭동 19
 
0.7%
관철동 17
 
0.6%
종로5가 16
 
0.6%
충신동 15
 
0.5%
Other values (789) 1307
46.3%
2024-04-06T19:19:51.365643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2675
18.7%
로 722
 
5.0%
종 706
 
4.9%
1 658
 
4.6%
서 656
 
4.6%
구 650
 
4.5%
시 649
 
4.5%
울 643
 
4.5%
특 641
 
4.5%
별 641
 
4.5%
Other values (242) 5679
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8740
61.0%
Space Separator 2675
 
18.7%
Decimal Number 2446
 
17.1%
Dash Punctuation 410
 
2.9%
Uppercase Letter 20
 
0.1%
Lowercase Letter 14
 
0.1%
Other Punctuation 11
 
0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 722
 
8.3%
종 706
 
8.1%
서 656
 
7.5%
구 650
 
7.4%
시 649
 
7.4%
울 643
 
7.4%
특 641
 
7.3%
별 641
 
7.3%
동 567
 
6.5%
지 473
 
5.4%
Other values (204) 2392
27.4%
Uppercase Letter
ValueCountFrequency (%)
B 5
25.0%
A 2
 
10.0%
D 2
 
10.0%
G 2
 
10.0%
S 2
 
10.0%
K 1
 
5.0%
N 1
 
5.0%
T 1
 
5.0%
Y 1
 
5.0%
M 1
 
5.0%
Other values (2) 2
 
10.0%
Decimal Number
ValueCountFrequency (%)
1 658
26.9%
2 366
15.0%
3 243
 
9.9%
5 204
 
8.3%
4 201
 
8.2%
0 176
 
7.2%
6 175
 
7.2%
8 168
 
6.9%
7 152
 
6.2%
9 103
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
o 3
21.4%
n 2
14.3%
r 2
14.3%
c 2
14.3%
e 1
 
7.1%
d 1
 
7.1%
i 1
 
7.1%
a 1
 
7.1%
w 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 8
72.7%
. 2
 
18.2%
/ 1
 
9.1%
Space Separator
ValueCountFrequency (%)
2675
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 410
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8740
61.0%
Common 5546
38.7%
Latin 34
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 722
 
8.3%
종 706
 
8.1%
서 656
 
7.5%
구 650
 
7.4%
시 649
 
7.4%
울 643
 
7.4%
특 641
 
7.3%
별 641
 
7.3%
동 567
 
6.5%
지 473
 
5.4%
Other values (204) 2392
27.4%
Latin
ValueCountFrequency (%)
B 5
14.7%
o 3
 
8.8%
A 2
 
5.9%
D 2
 
5.9%
n 2
 
5.9%
r 2
 
5.9%
G 2
 
5.9%
S 2
 
5.9%
c 2
 
5.9%
K 1
 
2.9%
Other values (11) 11
32.4%
Common
ValueCountFrequency (%)
2675
48.2%
1 658
 
11.9%
- 410
 
7.4%
2 366
 
6.6%
3 243
 
4.4%
5 204
 
3.7%
4 201
 
3.6%
0 176
 
3.2%
6 175
 
3.2%
8 168
 
3.0%
Other values (7) 270
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8740
61.0%
ASCII 5580
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2675
47.9%
1 658
 
11.8%
- 410
 
7.3%
2 366
 
6.6%
3 243
 
4.4%
5 204
 
3.7%
4 201
 
3.6%
0 176
 
3.2%
6 175
 
3.1%
8 168
 
3.0%
Other values (28) 304
 
5.4%
Hangul
ValueCountFrequency (%)
로 722
 
8.3%
종 706
 
8.1%
서 656
 
7.5%
구 650
 
7.4%
시 649
 
7.4%
울 643
 
7.4%
특 641
 
7.3%
별 641
 
7.3%
동 567
 
6.5%
지 473
 
5.4%
Other values (204) 2392
27.4%

도로명주소
Text

Distinct649
Distinct (%)92.1%
Missing6
Missing (%)0.8%
Memory size5.7 KiB
2024-04-06T19:19:51.996438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length49
Mean length27.934752
Min length20

Characters and Unicode

Total characters19694
Distinct characters280
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

Unique597 ?
Unique (%)84.7%

Sample

1st row서울특별시 종로구 지봉로 18 (숭인동)
2nd row서울특별시 종로구 통일로12길 50-1 (행촌동)
3rd row서울특별시 종로구 통일로12길 50-1 (행촌동)
4th row서울특별시 종로구 사직로 7 (행촌동)
5th row서울특별시 종로구 계동길 17 (계동)
ValueCountFrequency (%)
서울특별시 705
 
17.3%
종로구 701
 
17.2%
1층 176
 
4.3%
숭인동 68
 
1.7%
창신동 55
 
1.3%
종로 49
 
1.2%
101호 29
 
0.7%
평창동 25
 
0.6%
동숭동 23
 
0.6%
율곡로 21
 
0.5%
Other values (801) 2230
54.6%
2024-04-06T19:19:53.074523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3380
 
17.2%
로 1354
 
6.9%
종 904
 
4.6%
1 853
 
4.3%
서 723
 
3.7%
구 714
 
3.6%
시 712
 
3.6%
울 708
 
3.6%
( 706
 
3.6%
) 706
 
3.6%
Other values (270) 8934
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11617
59.0%
Space Separator 3380
 
17.2%
Decimal Number 2751
 
14.0%
Open Punctuation 706
 
3.6%
Close Punctuation 706
 
3.6%
Other Punctuation 365
 
1.9%
Dash Punctuation 115
 
0.6%
Uppercase Letter 39
 
0.2%
Lowercase Letter 14
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 1354
 
11.7%
종 904
 
7.8%
서 723
 
6.2%
구 714
 
6.1%
시 712
 
6.1%
울 708
 
6.1%
별 705
 
6.1%
특 705
 
6.1%
동 694
 
6.0%
길 391
 
3.4%
Other values (229) 4007
34.5%
Uppercase Letter
ValueCountFrequency (%)
B 16
41.0%
D 4
 
10.3%
A 3
 
7.7%
X 3
 
7.7%
C 2
 
5.1%
G 2
 
5.1%
S 2
 
5.1%
L 1
 
2.6%
U 1
 
2.6%
T 1
 
2.6%
Other values (4) 4
 
10.3%
Decimal Number
ValueCountFrequency (%)
1 853
31.0%
2 363
13.2%
3 320
 
11.6%
4 222
 
8.1%
5 218
 
7.9%
0 205
 
7.5%
6 179
 
6.5%
8 144
 
5.2%
7 126
 
4.6%
9 121
 
4.4%
Lowercase Letter
ValueCountFrequency (%)
o 3
21.4%
n 2
14.3%
c 2
14.3%
r 2
14.3%
e 1
 
7.1%
w 1
 
7.1%
d 1
 
7.1%
i 1
 
7.1%
a 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 361
98.9%
. 3
 
0.8%
/ 1
 
0.3%
Space Separator
ValueCountFrequency (%)
3380
100.0%
Open Punctuation
ValueCountFrequency (%)
( 706
100.0%
Close Punctuation
ValueCountFrequency (%)
) 706
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 115
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11617
59.0%
Common 8024
40.7%
Latin 53
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 1354
 
11.7%
종 904
 
7.8%
서 723
 
6.2%
구 714
 
6.1%
시 712
 
6.1%
울 708
 
6.1%
별 705
 
6.1%
특 705
 
6.1%
동 694
 
6.0%
길 391
 
3.4%
Other values (229) 4007
34.5%
Latin
ValueCountFrequency (%)
B 16
30.2%
D 4
 
7.5%
o 3
 
5.7%
A 3
 
5.7%
X 3
 
5.7%
n 2
 
3.8%
c 2
 
3.8%
C 2
 
3.8%
G 2
 
3.8%
S 2
 
3.8%
Other values (13) 14
26.4%
Common
ValueCountFrequency (%)
3380
42.1%
1 853
 
10.6%
( 706
 
8.8%
) 706
 
8.8%
2 363
 
4.5%
, 361
 
4.5%
3 320
 
4.0%
4 222
 
2.8%
5 218
 
2.7%
0 205
 
2.6%
Other values (8) 690
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11617
59.0%
ASCII 8077
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3380
41.8%
1 853
 
10.6%
( 706
 
8.7%
) 706
 
8.7%
2 363
 
4.5%
, 361
 
4.5%
3 320
 
4.0%
4 222
 
2.7%
5 218
 
2.7%
0 205
 
2.5%
Other values (31) 743
 
9.2%
Hangul
ValueCountFrequency (%)
로 1354
 
11.7%
종 904
 
7.8%
서 723
 
6.2%
구 714
 
6.1%
시 712
 
6.1%
울 708
 
6.1%
별 705
 
6.1%
특 705
 
6.1%
동 694
 
6.0%
길 391
 
3.4%
Other values (229) 4007
34.5%

도로명우편번호
Text

MISSING 

Distinct267
Distinct (%)38.0%
Missing9
Missing (%)1.3%
Memory size5.7 KiB
2024-04-06T19:19:53.798690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.5612536
Min length5

Characters and Unicode

Total characters3904
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

Unique96 ?
Unique (%)13.7%

Sample

1st row110826
2nd row110091
3rd row03029
4th row110801
5th row110800
ValueCountFrequency (%)
110111 11
 
1.6%
110862 10
 
1.4%
110130 9
 
1.3%
110827 9
 
1.3%
110837 9
 
1.3%
110340 9
 
1.3%
03139 8
 
1.1%
110551 8
 
1.1%
03086 8
 
1.1%
110530 7
 
1.0%
Other values (257) 614
87.5%
2024-04-06T19:19:54.681840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1169
29.9%
0 1131
29.0%
3 510
13.1%
8 231
 
5.9%
2 192
 
4.9%
4 178
 
4.6%
5 149
 
3.8%
7 115
 
2.9%
6 111
 
2.8%
9 106
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3892
99.7%
Dash Punctuation 12
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1169
30.0%
0 1131
29.1%
3 510
13.1%
8 231
 
5.9%
2 192
 
4.9%
4 178
 
4.6%
5 149
 
3.8%
7 115
 
3.0%
6 111
 
2.9%
9 106
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3904
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1169
29.9%
0 1131
29.0%
3 510
13.1%
8 231
 
5.9%
2 192
 
4.9%
4 178
 
4.6%
5 149
 
3.8%
7 115
 
2.9%
6 111
 
2.8%
9 106
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3904
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1169
29.9%
0 1131
29.0%
3 510
13.1%
8 231
 
5.9%
2 192
 
4.9%
4 178
 
4.6%
5 149
 
3.8%
7 115
 
2.9%
6 111
 
2.8%
9 106
 
2.7%

사업장명
Text

Distinct682
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2024-04-06T19:19:55.110292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length20
Mean length8.676512
Min length2

Characters and Unicode

Total characters6169
Distinct characters388
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

Unique656 ?
Unique (%)92.3%

Sample

1st rowGS25 종로동묘점
2nd row봉산슈퍼
3rd rowGS25 종로행촌점
4th row플러스 K마트
5th row현대슈퍼(계동)
ValueCountFrequency (%)
씨유 79
 
7.3%
세븐일레븐 57
 
5.3%
gs25 57
 
5.3%
주)코리아세븐 31
 
2.9%
이마트24 23
 
2.1%
지에스25 11
 
1.0%
cu 9
 
0.8%
지에스25(gs25 7
 
0.6%
롯데씨브이에스711(주 7
 
0.6%
주)비지에프휴먼넷 5
 
0.5%
Other values (682) 798
73.6%
2024-04-06T19:19:55.789014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 380
 
6.2%
375
 
6.1%
로 227
 
3.7%
종 208
 
3.4%
븐 170
 
2.8%
2 146
 
2.4%
) 140
 
2.3%
( 140
 
2.3%
마 130
 
2.1%
트 121
 
2.0%
Other values (378) 4132
67.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4874
79.0%
Space Separator 375
 
6.1%
Decimal Number 334
 
5.4%
Uppercase Letter 270
 
4.4%
Close Punctuation 140
 
2.3%
Open Punctuation 140
 
2.3%
Lowercase Letter 23
 
0.4%
Dash Punctuation 11
 
0.2%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 380
 
7.8%
로 227
 
4.7%
종 208
 
4.3%
븐 170
 
3.5%
마 130
 
2.7%
트 121
 
2.5%
세 119
 
2.4%
씨 106
 
2.2%
유 102
 
2.1%
스 100
 
2.1%
Other values (338) 3211
65.9%
Uppercase Letter
ValueCountFrequency (%)
S 91
33.7%
G 83
30.7%
C 35
 
13.0%
U 32
 
11.9%
M 7
 
2.6%
B 4
 
1.5%
R 3
 
1.1%
E 2
 
0.7%
O 2
 
0.7%
T 2
 
0.7%
Other values (7) 9
 
3.3%
Decimal Number
ValueCountFrequency (%)
2 146
43.7%
5 115
34.4%
4 27
 
8.1%
1 17
 
5.1%
3 10
 
3.0%
6 7
 
2.1%
7 7
 
2.1%
9 4
 
1.2%
8 1
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
s 5
21.7%
g 4
17.4%
r 3
13.0%
e 3
13.0%
a 2
 
8.7%
h 2
 
8.7%
t 2
 
8.7%
k 1
 
4.3%
m 1
 
4.3%
Space Separator
ValueCountFrequency (%)
375
100.0%
Close Punctuation
ValueCountFrequency (%)
) 140
100.0%
Open Punctuation
ValueCountFrequency (%)
( 140
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4874
79.0%
Common 1002
 
16.2%
Latin 293
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 380
 
7.8%
로 227
 
4.7%
종 208
 
4.3%
븐 170
 
3.5%
마 130
 
2.7%
트 121
 
2.5%
세 119
 
2.4%
씨 106
 
2.2%
유 102
 
2.1%
스 100
 
2.1%
Other values (338) 3211
65.9%
Latin
ValueCountFrequency (%)
S 91
31.1%
G 83
28.3%
C 35
 
11.9%
U 32
 
10.9%
M 7
 
2.4%
s 5
 
1.7%
B 4
 
1.4%
g 4
 
1.4%
r 3
 
1.0%
R 3
 
1.0%
Other values (16) 26
 
8.9%
Common
ValueCountFrequency (%)
375
37.4%
2 146
 
14.6%
) 140
 
14.0%
( 140
 
14.0%
5 115
 
11.5%
4 27
 
2.7%
1 17
 
1.7%
- 11
 
1.1%
3 10
 
1.0%
6 7
 
0.7%
Other values (4) 14
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4874
79.0%
ASCII 1295
 
21.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 380
 
7.8%
로 227
 
4.7%
종 208
 
4.3%
븐 170
 
3.5%
마 130
 
2.7%
트 121
 
2.5%
세 119
 
2.4%
씨 106
 
2.2%
유 102
 
2.1%
스 100
 
2.1%
Other values (338) 3211
65.9%
ASCII
ValueCountFrequency (%)
375
29.0%
2 146
 
11.3%
) 140
 
10.8%
( 140
 
10.8%
5 115
 
8.9%
S 91
 
7.0%
G 83
 
6.4%
C 35
 
2.7%
U 32
 
2.5%
4 27
 
2.1%
Other values (30) 111
 
8.6%

최종수정일자
Date

Distinct710
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
Minimum2014-02-07 17:05:09
Maximum2024-04-04 10:24:41
2024-04-06T19:19:55.997782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:19:56.261563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
I
543 
U
168 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 543
76.4%
U 168
 
23.6%

Length

2024-04-06T19:19:56.509200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:19:56.685895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 543
76.4%
u 168
 
23.6%

데이터갱신일자
Date

Distinct216
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-04-06T19:19:56.888882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:19:57.136453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing711
Missing (%)100.0%
Memory size6.4 KiB

좌표정보(X)
Real number (ℝ)

Distinct585
Distinct (%)82.9%
Missing5
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean199162.69
Minimum195941.78
Maximum212211.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2024-04-06T19:19:57.367583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195941.78
5-th percentile196550.63
Q1198086.75
median199171.68
Q3200281.25
95-th percentile201648.33
Maximum212211.01
Range16269.23
Interquartile range (IQR)2194.501

Descriptive statistics

Standard deviation1616.7128
Coefficient of variation (CV)0.0081175485
Kurtosis4.8135352
Mean199162.69
Median Absolute Deviation (MAD)1101.8935
Skewness0.61422934
Sum1.4060886 × 108
Variance2613760.4
MonotonicityNot monotonic
2024-04-06T19:19:57.645925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198150.300374121 4
 
0.6%
200072.378101828 4
 
0.6%
196444.724457441 4
 
0.6%
200269.449015184 4
 
0.6%
197212.364862058 4
 
0.6%
201823.19513455 3
 
0.4%
199176.942185593 3
 
0.4%
198386.829870878 3
 
0.4%
200496.442948763 3
 
0.4%
198963.479329414 3
 
0.4%
Other values (575) 671
94.4%
(Missing) 5
 
0.7%
ValueCountFrequency (%)
195941.782428976 1
0.1%
195998.140762432 1
0.1%
196039.898715973 1
0.1%
196068.647882438 1
0.1%
196086.311120705 1
0.1%
196143.256118357 1
0.1%
196167.24792167 2
0.3%
196168.301152027 2
0.3%
196171.32627844 1
0.1%
196219.977827014 1
0.1%
ValueCountFrequency (%)
212211.012072968 1
0.1%
201962.62904341 1
0.1%
201960.951300031 1
0.1%
201949.750623535 1
0.1%
201949.270716491 1
0.1%
201946.86632604 1
0.1%
201937.460305076 1
0.1%
201923.40606958 1
0.1%
201910.647689061 1
0.1%
201881.801130708 1
0.1%

좌표정보(Y)
Real number (ℝ)

Distinct585
Distinct (%)82.9%
Missing5
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean452817.04
Minimum448223.72
Maximum456587.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2024-04-06T19:19:57.927386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448223.72
5-th percentile451901.41
Q1452153.49
median452473.83
Q3453104.2
95-th percentile455858.49
Maximum456587.91
Range8364.1885
Interquartile range (IQR)950.70842

Descriptive statistics

Standard deviation1055.4531
Coefficient of variation (CV)0.0023308599
Kurtosis3.6053203
Mean452817.04
Median Absolute Deviation (MAD)382.75072
Skewness1.747386
Sum3.1968883 × 108
Variance1113981.2
MonotonicityNot monotonic
2024-04-06T19:19:58.302648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452019.212642931 4
 
0.6%
452291.689518232 4
 
0.6%
455869.049851389 4
 
0.6%
453429.418451976 4
 
0.6%
456055.205802855 4
 
0.6%
452717.786650663 3
 
0.4%
452210.348221407 3
 
0.4%
452237.303784872 3
 
0.4%
452677.319316568 3
 
0.4%
452103.707437261 3
 
0.4%
Other values (575) 671
94.4%
(Missing) 5
 
0.7%
ValueCountFrequency (%)
448223.719322388 1
0.1%
451182.224072035 1
0.1%
451440.318371617 1
0.1%
451543.629004831 1
0.1%
451664.399383222 1
0.1%
451682.368379486 1
0.1%
451694.842893728 1
0.1%
451783.654341 1
0.1%
451805.0 1
0.1%
451810.488000518 2
0.3%
ValueCountFrequency (%)
456587.90777321 2
0.3%
456429.344666667 1
0.1%
456400.243878906 1
0.1%
456311.979491953 2
0.3%
456310.978865273 1
0.1%
456309.265884524 1
0.1%
456301.660405803 1
0.1%
456290.9158685 1
0.1%
456231.523051187 2
0.3%
456220.012148299 1
0.1%

업소구분명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
지정
517 
<NA>
139 
종료
55 

Length

Max length4
Median length2
Mean length2.3909986
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row지정
2nd row종료
3rd row지정
4th row지정
5th row지정

Common Values

ValueCountFrequency (%)
지정 517
72.7%
<NA> 139
 
19.5%
종료 55
 
7.7%

Length

2024-04-06T19:19:58.591995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:19:58.791888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지정 517
72.7%
na 139
 
19.5%
종료 55
 
7.7%

소재지
Text

MISSING 

Distinct451
Distinct (%)96.6%
Missing244
Missing (%)34.3%
Memory size5.7 KiB
2024-04-06T19:19:59.542181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length39
Mean length22.299786
Min length15

Characters and Unicode

Total characters10414
Distinct characters204
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

Unique436 ?
Unique (%)93.4%

Sample

1st row서울특별시 종로구 숭인동 316번지 2호
2nd row서울특별시 종로구 행촌동 210번지 210호
3rd row서울특별시 종로구 행촌동 210번지 210호
4th row서울특별시 종로구 계동 144-1번지
5th row서울특별시 종로구 계동 65번지 1호
ValueCountFrequency (%)
서울특별시 467
20.3%
종로구 467
20.3%
1호 60
 
2.6%
숭인동 50
 
2.2%
창신동 40
 
1.7%
2호 40
 
1.7%
1층 30
 
1.3%
1번지 19
 
0.8%
관철동 13
 
0.6%
종로5가 13
 
0.6%
Other values (520) 1096
47.8%
2024-04-06T19:20:00.508209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1829
17.6%
로 516
 
5.0%
종 513
 
4.9%
1 477
 
4.6%
서 475
 
4.6%
구 474
 
4.6%
지 473
 
4.5%
시 471
 
4.5%
울 469
 
4.5%
특 467
 
4.5%
Other values (194) 4250
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6739
64.7%
Space Separator 1829
 
17.6%
Decimal Number 1781
 
17.1%
Dash Punctuation 45
 
0.4%
Uppercase Letter 12
 
0.1%
Other Punctuation 4
 
< 0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 516
 
7.7%
종 513
 
7.6%
서 475
 
7.0%
구 474
 
7.0%
지 473
 
7.0%
시 471
 
7.0%
울 469
 
7.0%
특 467
 
6.9%
별 467
 
6.9%
번 431
 
6.4%
Other values (167) 1983
29.4%
Decimal Number
ValueCountFrequency (%)
1 477
26.8%
2 274
15.4%
3 174
 
9.8%
5 155
 
8.7%
4 139
 
7.8%
0 131
 
7.4%
6 123
 
6.9%
7 114
 
6.4%
8 111
 
6.2%
9 83
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
B 3
25.0%
S 2
16.7%
Y 1
 
8.3%
M 1
 
8.3%
C 1
 
8.3%
A 1
 
8.3%
G 1
 
8.3%
T 1
 
8.3%
D 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
o 1
25.0%
w 1
25.0%
e 1
25.0%
r 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
/ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
1829
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6739
64.7%
Common 3659
35.1%
Latin 16
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 516
 
7.7%
종 513
 
7.6%
서 475
 
7.0%
구 474
 
7.0%
지 473
 
7.0%
시 471
 
7.0%
울 469
 
7.0%
특 467
 
6.9%
별 467
 
6.9%
번 431
 
6.4%
Other values (167) 1983
29.4%
Common
ValueCountFrequency (%)
1829
50.0%
1 477
 
13.0%
2 274
 
7.5%
3 174
 
4.8%
5 155
 
4.2%
4 139
 
3.8%
0 131
 
3.6%
6 123
 
3.4%
7 114
 
3.1%
8 111
 
3.0%
Other values (4) 132
 
3.6%
Latin
ValueCountFrequency (%)
B 3
18.8%
S 2
12.5%
Y 1
 
6.2%
M 1
 
6.2%
C 1
 
6.2%
A 1
 
6.2%
G 1
 
6.2%
T 1
 
6.2%
o 1
 
6.2%
w 1
 
6.2%
Other values (3) 3
18.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6739
64.7%
ASCII 3675
35.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1829
49.8%
1 477
 
13.0%
2 274
 
7.5%
3 174
 
4.7%
5 155
 
4.2%
4 139
 
3.8%
0 131
 
3.6%
6 123
 
3.3%
7 114
 
3.1%
8 111
 
3.0%
Other values (17) 148
 
4.0%
Hangul
ValueCountFrequency (%)
로 516
 
7.7%
종 513
 
7.6%
서 475
 
7.0%
구 474
 
7.0%
지 473
 
7.0%
시 471
 
7.0%
울 469
 
7.0%
특 467
 
6.9%
별 467
 
6.9%
번 431
 
6.4%
Other values (167) 1983
29.4%

지정일자
Real number (ℝ)

MISSING 

Distinct211
Distinct (%)79.0%
Missing444
Missing (%)62.4%
Infinite0
Infinite (%)0.0%
Mean20170590
Minimum20000101
Maximum20220315
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2024-04-06T19:20:00.852775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000101
5-th percentile20140214
Q120150922
median20170502
Q320190620
95-th percentile20210655
Maximum20220315
Range220214
Interquartile range (IQR)39698

Descriptive statistics

Standard deviation27160.342
Coefficient of variation (CV)0.0013465318
Kurtosis9.9930491
Mean20170590
Median Absolute Deviation (MAD)19788
Skewness-1.6730888
Sum5.3855475 × 109
Variance7.3768416 × 108
MonotonicityNot monotonic
2024-04-06T19:20:01.191751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150714 8
 
1.1%
20170125 5
 
0.7%
20170404 4
 
0.6%
20140703 3
 
0.4%
20190710 3
 
0.4%
20170619 3
 
0.4%
20160428 3
 
0.4%
20160217 3
 
0.4%
20140710 3
 
0.4%
20170628 3
 
0.4%
Other values (201) 229
32.2%
(Missing) 444
62.4%
ValueCountFrequency (%)
20000101 2
0.3%
20120903 1
0.1%
20131023 1
0.1%
20131121 1
0.1%
20131202 1
0.1%
20131206 1
0.1%
20131216 1
0.1%
20140108 1
0.1%
20140109 1
0.1%
20140115 1
0.1%
ValueCountFrequency (%)
20220315 1
0.1%
20220311 2
0.3%
20220310 1
0.1%
20220124 1
0.1%
20211215 1
0.1%
20211110 1
0.1%
20211108 2
0.3%
20210823 1
0.1%
20210819 1
0.1%
20210727 1
0.1%

신청일자
Real number (ℝ)

MISSING 

Distinct232
Distinct (%)40.6%
Missing139
Missing (%)19.5%
Infinite0
Infinite (%)0.0%
Mean20080284
Minimum20000101
Maximum20220315
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2024-04-06T19:20:01.494285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000101
5-th percentile20000101
Q120000101
median20000101
Q320170146
95-th percentile20200872
Maximum20220315
Range220214
Interquartile range (IQR)170044.5

Descriptive statistics

Standard deviation86796.388
Coefficient of variation (CV)0.0043224682
Kurtosis-1.8314755
Mean20080284
Median Absolute Deviation (MAD)0
Skewness0.22233638
Sum1.1485922 × 1010
Variance7.5336129 × 109
MonotonicityNot monotonic
2024-04-06T19:20:01.849352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000101 302
42.5%
20150714 8
 
1.1%
20170331 4
 
0.6%
20190709 3
 
0.4%
20160425 2
 
0.3%
20151030 2
 
0.3%
20141020 2
 
0.3%
20161208 2
 
0.3%
20140625 2
 
0.3%
20150630 2
 
0.3%
Other values (222) 243
34.2%
(Missing) 139
19.5%
ValueCountFrequency (%)
20000101 302
42.5%
20010101 2
 
0.3%
20120903 1
 
0.1%
20131023 1
 
0.1%
20131121 2
 
0.3%
20131202 1
 
0.1%
20131205 1
 
0.1%
20131213 1
 
0.1%
20140107 1
 
0.1%
20140108 1
 
0.1%
ValueCountFrequency (%)
20220315 1
0.1%
20220311 2
0.3%
20220310 1
0.1%
20220124 1
0.1%
20211215 1
0.1%
20211105 1
0.1%
20211104 1
0.1%
20211103 1
0.1%
20210823 1
0.1%
20210819 1
0.1%

항목값1
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
관급봉투
572 
<NA>
139 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관급봉투 572
80.5%
<NA> 139
 
19.5%

Length

2024-04-06T19:20:02.582482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:20:02.814992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관급봉투 572
80.5%
na 139
 
19.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업소구분명소재지지정일자신청일자항목값1
0300000030000001420130000120131023<NA>1영업/정상11영업<NA><NA><NA><NA>02-2236-3660<NA>110826서울특별시 종로구 숭인동 316-2번지서울특별시 종로구 지봉로 18 (숭인동)110826GS25 종로동묘점2014-10-30 18:11:32I2018-08-31 23:59:59.0<NA>201342.276017452159.201741지정서울특별시 종로구 숭인동 316번지 2호2013102320131023관급봉투
1300000030000001420130000320131121<NA>3폐업2폐업2013112120131121<NA><NA>02-739-8670<NA>110091서울특별시 종로구 행촌동 210-210번지서울특별시 종로구 통일로12길 50-1 (행촌동)<NA>봉산슈퍼2014-02-10 16:13:09I2018-08-31 23:59:59.0<NA>196550.626192452473.82909종료서울특별시 종로구 행촌동 210번지 210호<NA>20131121관급봉투
2300000030000001420130000420131121<NA>1영업/정상11영업<NA><NA><NA><NA>02-733-3888<NA>110091서울특별시 종로구 행촌동 210-210번지서울특별시 종로구 통일로12길 50-1 (행촌동)110091GS25 종로행촌점2015-03-11 20:47:34I2018-08-31 23:59:59.0<NA>196550.626192452473.82909지정서울특별시 종로구 행촌동 210번지 210호2013112120131121관급봉투
3300000030000001420130000520131202<NA>3폐업2폐업2018071120180711<NA><NA>02-733-0339<NA>110813<NA>서울특별시 종로구 사직로 7 (행촌동)03029플러스 K마트2021-08-31 17:36:54U2021-09-02 02:40:00.0<NA>196501.162126452271.219554지정<NA>2013120220131202관급봉투
4300000030000001420130000620131204<NA>1영업/정상11영업<NA><NA><NA><NA>02-763-2101<NA>110801서울특별시 종로구 계동 144-1번지서울특별시 종로구 계동길 17 (계동)110801현대슈퍼(계동)2015-03-11 20:51:34I2018-08-31 23:59:59.0<NA>198745.839487452867.664266지정서울특별시 종로구 계동 144-1번지<NA>20000101관급봉투
5300000030000001420130000720131204<NA>1영업/정상11영업<NA><NA><NA><NA>02-747-0140<NA>110800서울특별시 종로구 계동 65-1번지서울특별시 종로구 계동길 99 (계동)110800수연홈마트2014-10-29 14:33:31I2018-08-31 23:59:59.0<NA>198752.586851453271.205283지정서울특별시 종로구 계동 65번지 1호<NA>20000101관급봉투
6300000030000001420130000820131204<NA>1영업/정상11영업<NA><NA><NA><NA>02-747-3611<NA>110800서울특별시 종로구 계동 86번지서울특별시 종로구 계동길 61 (계동)110800빅마트2014-10-29 14:34:26I2018-08-31 23:59:59.0<NA>198743.166772453082.574897지정서울특별시 종로구 계동 86번지<NA>20000101관급봉투
7300000030000001420130000920131204<NA>1영업/정상11영업<NA><NA><NA><NA>02-735-4040<NA>110240서울특별시 종로구 안국동 174번지서울특별시 종로구 윤보선길 16 (안국동)110240이화마트2014-10-29 14:37:33I2018-08-31 23:59:59.0<NA>198536.978978452715.428759지정서울특별시 종로구 안국동 174번지<NA>20000101관급봉투
8300000030000001420130001020131204<NA>1영업/정상11영업<NA><NA><NA><NA>02-739-3339<NA>110240서울특별시 종로구 안국동 24-1번지서울특별시 종로구 율곡로3길 64 (안국동)110240CU(종로안국)2014-10-29 14:38:36I2018-08-31 23:59:59.0<NA>198361.958669452906.40907지정서울특별시 종로구 안국동 24번지 1호<NA>20000101관급봉투
9300000030000001420130001120131204<NA>1영업/정상11영업<NA><NA><NA><NA>02-741-5097<NA>110280서울특별시 종로구 원서동 45번지 1층서울특별시 종로구 창덕궁길 120, 1층 (원서동)110280CU(종로원서점)2014-10-29 14:39:58I2018-08-31 23:59:59.0<NA>198988.459597453392.779978지정서울특별시 종로구 원서동 45번지 1층<NA>20000101관급봉투
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업소구분명소재지지정일자신청일자항목값1
70130000003000000142024000012024-01-02<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 도렴동 60 도렴빌딩서울특별시 종로구 새문안로5길 37, 도렴빌딩 지하1층 5호 (도렴동)03173씨유도렴빌딩점2024-01-02 15:06:38I2023-12-01 00:04:00.0<NA>197650.653737452368.519289<NA><NA><NA><NA><NA>
70230000003000000142024000022024-01-02<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 평창동 145-5 일성아파트서울특별시 종로구 평창문화로 119, 1층 101호 (평창동, 일성아파트)03004(주)더에코브릿지2024-01-02 15:16:16I2023-12-01 00:04:00.0<NA>197520.249181456310.978865<NA><NA><NA><NA><NA>
70330000003000000142024000032024-01-02<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 혜화동 78-3서울특별시 종로구 혜화로2길 10 (혜화동)03076함께하는지구사랑 주식회사2024-01-02 15:21:59I2023-12-01 00:04:00.0<NA>200012.738692453800.300365<NA><NA><NA><NA><NA>
70430000003000000142024000042024-01-02<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 신문로1가 163 광화문오피시아빌딩서울특별시 종로구 새문안로 92, 광화문오피시아빌딩 지하1층 120호 (신문로1가)03186해피타임2024-01-02 19:25:23I2023-12-01 00:04:00.0<NA>197713.264844451938.037703<NA><NA><NA><NA><NA>
70530000003000000142024000052024-02-15<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 창신동 232 두산아파트서울특별시 종로구 지봉로5길 7, 상가동 지하층 비01,02,05,06,07,08호 (창신동, 두산아파트)03104씨유 두산창신점2024-02-15 10:48:47I2023-12-01 23:07:00.0<NA>201192.5343452436.247037<NA><NA><NA><NA><NA>
70630000003000000142024000062024-02-15<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 효자동 70-1서울특별시 종로구 자하문로 82, 1층 (효자동)03042씨유 종로효자점2024-02-15 16:47:52I2023-12-01 23:07:00.0<NA>197342.220895453450.527282<NA><NA><NA><NA><NA>
70730000003000000142024000072024-02-26<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 신문로1가 25 정우빌딩서울특별시 종로구 새문안로 89, 정우빌딩 1층 (신문로1가)03182씨유 광화문점2024-02-27 13:25:27I2023-12-01 22:09:00.0<NA>197680.78008452016.543891<NA><NA><NA><NA><NA>
70830000003000000142024000082024-03-04<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 숭인동 376서울특별시 종로구 숭인동길 76, 1층 (숭인동)03111지에스25 숭인보문점2024-03-04 10:08:44I2023-12-03 00:06:00.0<NA>201868.251816452890.732541<NA><NA><NA><NA><NA>
70930000003000000142024000092024-03-13<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 종로5가 247-1서울특별시 종로구 종로 248-19 (종로5가)03197씨유 신진시장점2024-03-13 09:55:46I2023-12-02 23:06:00.0<NA>200401.358475452013.592207<NA><NA><NA><NA><NA>
71030000003000000142024000102024-04-04<NA>1영업/정상11영업<NA><NA><NA><NA>1577-8007<NA><NA>서울특별시 종로구 동숭동 1-144 낙산재서울특별시 종로구 대학로12길 73, 낙산재 1층 101호 (동숭동)03086(주)비지에프리테일 마로니에공원점2024-04-04 10:24:41I2023-12-04 00:06:00.0<NA>200281.251023453163.856124<NA><NA><NA><NA><NA>