Overview

Dataset statistics

Number of variables27
Number of observations25
Missing cells203
Missing cells (%)30.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.7 KiB
Average record size in memory234.3 B

Variable types

Categorical9
Numeric3
DateTime4
Unsupported6
Text5

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),법인구분명,구분명
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-20177/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지우편번호 is highly imbalanced (58.9%)Imbalance
인허가취소일자 has 25 (100.0%) missing valuesMissing
폐업일자 has 20 (80.0%) missing valuesMissing
휴업시작일자 has 25 (100.0%) missing valuesMissing
휴업종료일자 has 25 (100.0%) missing valuesMissing
재개업일자 has 25 (100.0%) missing valuesMissing
전화번호 has 8 (32.0%) missing valuesMissing
소재지면적 has 25 (100.0%) missing valuesMissing
지번주소 has 5 (20.0%) missing valuesMissing
도로명주소 has 2 (8.0%) missing valuesMissing
도로명우편번호 has 12 (48.0%) missing valuesMissing
업태구분명 has 25 (100.0%) missing valuesMissing
좌표정보(X) has 3 (12.0%) missing valuesMissing
좌표정보(Y) has 3 (12.0%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 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 started2024-04-29 20:05:57.046222
Analysis finished2024-04-29 20:05:57.697569
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
3000000
25 

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 25
100.0%

Length

2024-04-30T05:05:57.757256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:05:57.843035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 25
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.01022 × 1018
Minimum1.9983 × 1018
Maximum2.0233 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-30T05:05:57.925355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9983 × 1018
5-th percentile1.9983 × 1018
Q12.0043 × 1018
median2.0113 × 1018
Q32.0153 × 1018
95-th percentile2.0227 × 1018
Maximum2.0233 × 1018
Range2.5000013 × 1016
Interquartile range (IQR)1.1000009 × 1016

Descriptive statistics

Standard deviation7.8735892 × 1015
Coefficient of variation (CV)0.0039167798
Kurtosis-0.99363361
Mean2.01022 × 1018
Median Absolute Deviation (MAD)7.000001 × 1015
Skewness0.042412016
Sum-5.0847319 × 1018
Variance6.1993407 × 1031
MonotonicityStrictly increasing
2024-04-30T05:05:58.028075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1998300007611200001 1
 
4.0%
1998300007611200002 1
 
4.0%
2023300020214500016 1
 
4.0%
2023300020214500004 1
 
4.0%
2020300020214500006 1
 
4.0%
2020300020214500001 1
 
4.0%
2019300020214500002 1
 
4.0%
2018300016914500001 1
 
4.0%
2015300016914500004 1
 
4.0%
2013300016314500002 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
1998300007611200001 1
4.0%
1998300007611200002 1
4.0%
1998300007611200003 1
4.0%
1999300007611200001 1
4.0%
2002300007611200001 1
4.0%
2003300007611200001 1
4.0%
2004300007611200001 1
4.0%
2006300010711200001 1
4.0%
2007300010711200001 1
4.0%
2007300010711200002 1
4.0%
ValueCountFrequency (%)
2023300020214500016 1
4.0%
2023300020214500004 1
4.0%
2020300020214500006 1
4.0%
2020300020214500001 1
4.0%
2019300020214500002 1
4.0%
2018300016914500001 1
4.0%
2015300016914500004 1
4.0%
2013300016314500002 1
4.0%
2013300016314500001 1
4.0%
2012300016314500004 1
4.0%

인허가일자
Date

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum1998-06-18 00:00:00
Maximum2023-08-02 00:00:00
2024-04-30T05:05:58.123307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:05:58.221359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
1
13 
3
11 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st row4
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
1 13
52.0%
3 11
44.0%
4 1
 
4.0%

Length

2024-04-30T05:05:58.341157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:05:58.435661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 13
52.0%
3 11
44.0%
4 1
 
4.0%

영업상태명
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
영업/정상
13 
폐업
11 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.04
Min length2

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st row취소/말소/만료/정지/중지
2nd row폐업
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
영업/정상 13
52.0%
폐업 11
44.0%
취소/말소/만료/정지/중지 1
 
4.0%

Length

2024-04-30T05:05:58.546382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:05:58.645708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 13
52.0%
폐업 11
44.0%
취소/말소/만료/정지/중지 1
 
4.0%

상세영업상태코드
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
20
13 
40
11 
70
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st row70
2nd row40
3rd row40
4th row40
5th row40

Common Values

ValueCountFrequency (%)
20 13
52.0%
40 11
44.0%
70 1
 
4.0%

Length

2024-04-30T05:05:58.733945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:05:58.826547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20 13
52.0%
40 11
44.0%
70 1
 
4.0%

상세영업상태명
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
영업중
13 
폐업
11 
등록취소
 
1

Length

Max length4
Median length3
Mean length2.6
Min length2

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 13
52.0%
폐업 11
44.0%
등록취소 1
 
4.0%

Length

2024-04-30T05:05:58.942568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:05:59.051744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 13
52.0%
폐업 11
44.0%
등록취소 1
 
4.0%

폐업일자
Date

MISSING 

Distinct5
Distinct (%)100.0%
Missing20
Missing (%)80.0%
Memory size332.0 B
Minimum2008-04-22 00:00:00
Maximum2023-06-22 00:00:00
2024-04-30T05:05:59.130733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:05:59.218694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

전화번호
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing8
Missing (%)32.0%
Memory size332.0 B
2024-04-30T05:05:59.351378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.352941
Min length8

Characters and Unicode

Total characters193
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

Unique17 ?
Unique (%)100.0%

Sample

1st row000232100237
2nd row027411326
3rd row37363963
4th row02 318 5880
5th row02 741 1031
ValueCountFrequency (%)
02 12
31.6%
000232100237 1
 
2.6%
762 1
 
2.6%
8088 1
 
2.6%
563 1
 
2.6%
0236747722 1
 
2.6%
5875 1
 
2.6%
525 1
 
2.6%
67312600 1
 
2.6%
9051 1
 
2.6%
Other values (17) 17
44.7%
2024-04-30T05:05:59.642921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33
17.1%
0 31
16.1%
2 30
15.5%
3 20
10.4%
7 17
8.8%
1 14
7.3%
6 14
7.3%
5 12
 
6.2%
8 11
 
5.7%
4 8
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 160
82.9%
Space Separator 33
 
17.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 31
19.4%
2 30
18.8%
3 20
12.5%
7 17
10.6%
1 14
8.8%
6 14
8.8%
5 12
 
7.5%
8 11
 
6.9%
4 8
 
5.0%
9 3
 
1.9%
Space Separator
ValueCountFrequency (%)
33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 193
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
33
17.1%
0 31
16.1%
2 30
15.5%
3 20
10.4%
7 17
8.8%
1 14
7.3%
6 14
7.3%
5 12
 
6.2%
8 11
 
5.7%
4 8
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 193
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
33
17.1%
0 31
16.1%
2 30
15.5%
3 20
10.4%
7 17
8.8%
1 14
7.3%
6 14
7.3%
5 12
 
6.2%
8 11
 
5.7%
4 8
 
4.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct5
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
21 
133123
 
1
110480
 
1
110776
 
1
110130
 
1

Length

Max length6
Median length4
Mean length4.32
Min length4

Unique

Unique4 ?
Unique (%)16.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
84.0%
133123 1
 
4.0%
110480 1
 
4.0%
110776 1
 
4.0%
110130 1
 
4.0%

Length

2024-04-30T05:05:59.772398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:05:59.863185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
84.0%
133123 1
 
4.0%
110480 1
 
4.0%
110776 1
 
4.0%
110130 1
 
4.0%

지번주소
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing5
Missing (%)20.0%
Memory size332.0 B
2024-04-30T05:06:00.066910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length34.5
Mean length30.6
Min length16

Characters and Unicode

Total characters612
Distinct characters115
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

Unique20 ?
Unique (%)100.0%

Sample

1st row서울특별시 강남구 대치동 503호 29통 4반 개포1차우성아파트 2 1002
2nd row서울특별시 중구 장충동1가 105번지 1호 3통 6반 장충동라임카운티 502
3rd row서울특별시 동작구 흑석동 10호 9통 6반 명수대현대아파트 109 1202
4th row충청남도 천안시 쌍용동 1923호 71통 10반 용암동아벽산아파트 110 201
5th row서울특별시 동대문구 전농동 344번지 29호 27통 7반
ValueCountFrequency (%)
서울특별시 19
 
14.8%
종로구 12
 
9.4%
1호 4
 
3.1%
10호 2
 
1.6%
4반 2
 
1.6%
경운동 2
 
1.6%
숭인2동 2
 
1.6%
2층 2
 
1.6%
6반 2
 
1.6%
운현궁sk허브 1
 
0.8%
Other values (80) 80
62.5%
2024-04-30T05:06:00.420381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
119
 
19.4%
1 32
 
5.2%
동 25
 
4.1%
2 22
 
3.6%
시 20
 
3.3%
서 19
 
3.1%
특 19
 
3.1%
별 19
 
3.1%
구 19
 
3.1%
울 19
 
3.1%
Other values (105) 299
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 359
58.7%
Decimal Number 128
 
20.9%
Space Separator 119
 
19.4%
Uppercase Letter 3
 
0.5%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 25
 
7.0%
시 20
 
5.6%
서 19
 
5.3%
특 19
 
5.3%
별 19
 
5.3%
구 19
 
5.3%
울 19
 
5.3%
호 18
 
5.0%
지 15
 
4.2%
번 14
 
3.9%
Other values (88) 172
47.9%
Decimal Number
ValueCountFrequency (%)
1 32
25.0%
2 22
17.2%
0 19
14.8%
3 12
 
9.4%
6 9
 
7.0%
4 9
 
7.0%
9 8
 
6.2%
7 7
 
5.5%
5 6
 
4.7%
8 4
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
B 1
33.3%
K 1
33.3%
Space Separator
ValueCountFrequency (%)
119
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 359
58.7%
Common 250
40.8%
Latin 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 25
 
7.0%
시 20
 
5.6%
서 19
 
5.3%
특 19
 
5.3%
별 19
 
5.3%
구 19
 
5.3%
울 19
 
5.3%
호 18
 
5.0%
지 15
 
4.2%
번 14
 
3.9%
Other values (88) 172
47.9%
Common
ValueCountFrequency (%)
119
47.6%
1 32
 
12.8%
2 22
 
8.8%
0 19
 
7.6%
3 12
 
4.8%
6 9
 
3.6%
4 9
 
3.6%
9 8
 
3.2%
7 7
 
2.8%
5 6
 
2.4%
Other values (4) 7
 
2.8%
Latin
ValueCountFrequency (%)
S 1
33.3%
B 1
33.3%
K 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 359
58.7%
ASCII 253
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
119
47.0%
1 32
 
12.6%
2 22
 
8.7%
0 19
 
7.5%
3 12
 
4.7%
6 9
 
3.6%
4 9
 
3.6%
9 8
 
3.2%
7 7
 
2.8%
5 6
 
2.4%
Other values (7) 10
 
4.0%
Hangul
ValueCountFrequency (%)
동 25
 
7.0%
시 20
 
5.6%
서 19
 
5.3%
특 19
 
5.3%
별 19
 
5.3%
구 19
 
5.3%
울 19
 
5.3%
호 18
 
5.0%
지 15
 
4.2%
번 14
 
3.9%
Other values (88) 172
47.9%

도로명주소
Text

MISSING 

Distinct23
Distinct (%)100.0%
Missing2
Missing (%)8.0%
Memory size332.0 B
2024-04-30T05:06:00.634750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length41
Mean length32.347826
Min length17

Characters and Unicode

Total characters744
Distinct characters122
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

Unique23 ?
Unique (%)100.0%

Sample

1st row서울특별시 강남구 남부순환로 2914, 2동 1002호 (대치동,개포1차우성아파트)
2nd row서울특별시 중구 동호로20가길 38, 502호 (장충동1가,장충동라임카운티)
3rd row서울특별시 동작구 현충로 105, 109동 1202호 (흑석동,명수대현대아파트)
4th row서울특별시 종로구 삼일대로 467 (경운동)
5th row서울특별시 은평구 갈현로39가길 16 (갈현동)
ValueCountFrequency (%)
서울특별시 23
 
16.5%
종로구 15
 
10.8%
2층 3
 
2.2%
14 3
 
2.2%
숭인동 3
 
2.2%
대학로3길 2
 
1.4%
3층 2
 
1.4%
청계천로 2
 
1.4%
삼일대로 2
 
1.4%
적선동 1
 
0.7%
Other values (83) 83
59.7%
2024-04-30T05:06:00.972499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
116
 
15.6%
로 36
 
4.8%
동 32
 
4.3%
서 25
 
3.4%
1 24
 
3.2%
) 23
 
3.1%
울 23
 
3.1%
( 23
 
3.1%
, 23
 
3.1%
시 23
 
3.1%
Other values (112) 396
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 441
59.3%
Space Separator 116
 
15.6%
Decimal Number 114
 
15.3%
Close Punctuation 23
 
3.1%
Open Punctuation 23
 
3.1%
Other Punctuation 23
 
3.1%
Uppercase Letter 3
 
0.4%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 36
 
8.2%
동 32
 
7.3%
서 25
 
5.7%
울 23
 
5.2%
시 23
 
5.2%
특 23
 
5.2%
별 23
 
5.2%
구 22
 
5.0%
종 19
 
4.3%
길 11
 
2.5%
Other values (94) 204
46.3%
Decimal Number
ValueCountFrequency (%)
1 24
21.1%
2 21
18.4%
3 17
14.9%
0 13
11.4%
8 11
9.6%
4 10
8.8%
5 7
 
6.1%
6 5
 
4.4%
9 5
 
4.4%
7 1
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
K 1
33.3%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
116
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 441
59.3%
Common 300
40.3%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 36
 
8.2%
동 32
 
7.3%
서 25
 
5.7%
울 23
 
5.2%
시 23
 
5.2%
특 23
 
5.2%
별 23
 
5.2%
구 22
 
5.0%
종 19
 
4.3%
길 11
 
2.5%
Other values (94) 204
46.3%
Common
ValueCountFrequency (%)
116
38.7%
1 24
 
8.0%
) 23
 
7.7%
( 23
 
7.7%
, 23
 
7.7%
2 21
 
7.0%
3 17
 
5.7%
0 13
 
4.3%
8 11
 
3.7%
4 10
 
3.3%
Other values (5) 19
 
6.3%
Latin
ValueCountFrequency (%)
S 1
33.3%
K 1
33.3%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 441
59.3%
ASCII 303
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
116
38.3%
1 24
 
7.9%
) 23
 
7.6%
( 23
 
7.6%
, 23
 
7.6%
2 21
 
6.9%
3 17
 
5.6%
0 13
 
4.3%
8 11
 
3.6%
4 10
 
3.3%
Other values (8) 22
 
7.3%
Hangul
ValueCountFrequency (%)
로 36
 
8.2%
동 32
 
7.3%
서 25
 
5.7%
울 23
 
5.2%
시 23
 
5.2%
특 23
 
5.2%
별 23
 
5.2%
구 22
 
5.0%
종 19
 
4.3%
길 11
 
2.5%
Other values (94) 204
46.3%

도로명우편번호
Text

MISSING 

Distinct13
Distinct (%)100.0%
Missing12
Missing (%)48.0%
Memory size332.0 B
2024-04-30T05:06:01.121451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.7692308
Min length5

Characters and Unicode

Total characters75
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

Unique13 ?
Unique (%)100.0%

Sample

1st row110-827
2nd row110130
3rd row110032
4th row110-828
5th row110-751
ValueCountFrequency (%)
110-827 1
 
7.7%
110130 1
 
7.7%
110032 1
 
7.7%
110-828 1
 
7.7%
110-751 1
 
7.7%
110827 1
 
7.7%
110850 1
 
7.7%
03134 1
 
7.7%
03188 1
 
7.7%
03041 1
 
7.7%
Other values (3) 3
23.1%
2024-04-30T05:06:01.392567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 20
26.7%
0 19
25.3%
8 8
 
10.7%
3 8
 
10.7%
2 5
 
6.7%
- 3
 
4.0%
7 3
 
4.0%
5 3
 
4.0%
4 3
 
4.0%
6 2
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 72
96.0%
Dash Punctuation 3
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 20
27.8%
0 19
26.4%
8 8
 
11.1%
3 8
 
11.1%
2 5
 
6.9%
7 3
 
4.2%
5 3
 
4.2%
4 3
 
4.2%
6 2
 
2.8%
9 1
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 75
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 20
26.7%
0 19
25.3%
8 8
 
10.7%
3 8
 
10.7%
2 5
 
6.7%
- 3
 
4.0%
7 3
 
4.0%
5 3
 
4.0%
4 3
 
4.0%
6 2
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 75
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 20
26.7%
0 19
25.3%
8 8
 
10.7%
3 8
 
10.7%
2 5
 
6.7%
- 3
 
4.0%
7 3
 
4.0%
5 3
 
4.0%
4 3
 
4.0%
6 2
 
2.7%

사업장명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-04-30T05:06:01.556382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length11.8
Min length5

Characters and Unicode

Total characters295
Distinct characters116
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row대한민국재향군인회
2nd row서울대학병원 무료직업소개소
3rd row종합금융협회(사)
4th row국민문화연구소(사)
5th row우리민족음식문화보존협의회
ValueCountFrequency (%)
사단법인 3
 
9.4%
무료직업소개소 2
 
6.2%
대한민국재향군인회 1
 
3.1%
종로구수화통역센터 1
 
3.1%
벤처한림회 1
 
3.1%
다가치포럼사회적협동조합 1
 
3.1%
한국서비스산업진흥원무료직업소개소 1
 
3.1%
청년재단 1
 
3.1%
재단법인 1
 
3.1%
재단법인한국주얼리산업진흥재단 1
 
3.1%
Other values (19) 19
59.4%
2024-04-30T05:06:01.861988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 12
 
4.1%
사 11
 
3.7%
인 10
 
3.4%
한 9
 
3.1%
국 9
 
3.1%
소 9
 
3.1%
단 8
 
2.7%
) 8
 
2.7%
( 8
 
2.7%
7
 
2.4%
Other values (106) 204
69.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 272
92.2%
Close Punctuation 8
 
2.7%
Open Punctuation 8
 
2.7%
Space Separator 7
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 12
 
4.4%
사 11
 
4.0%
인 10
 
3.7%
한 9
 
3.3%
국 9
 
3.3%
소 9
 
3.3%
단 8
 
2.9%
협 7
 
2.6%
업 7
 
2.6%
종 6
 
2.2%
Other values (103) 184
67.6%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 272
92.2%
Common 23
 
7.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 12
 
4.4%
사 11
 
4.0%
인 10
 
3.7%
한 9
 
3.3%
국 9
 
3.3%
소 9
 
3.3%
단 8
 
2.9%
협 7
 
2.6%
업 7
 
2.6%
종 6
 
2.2%
Other values (103) 184
67.6%
Common
ValueCountFrequency (%)
) 8
34.8%
( 8
34.8%
7
30.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 272
92.2%
ASCII 23
 
7.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 12
 
4.4%
사 11
 
4.0%
인 10
 
3.7%
한 9
 
3.3%
국 9
 
3.3%
소 9
 
3.3%
단 8
 
2.9%
협 7
 
2.6%
업 7
 
2.6%
종 6
 
2.2%
Other values (103) 184
67.6%
ASCII
ValueCountFrequency (%)
) 8
34.8%
( 8
34.8%
7
30.4%

최종수정일자
Date

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2003-09-02 09:43:23
Maximum2024-04-01 15:45:12
2024-04-30T05:06:01.958071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:06:02.061639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

데이터갱신구분
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
U
14 
I
11 

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 (%)
U 14
56.0%
I 11
44.0%

Length

2024-04-30T05:06:02.164388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:06:02.243799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 14
56.0%
i 11
44.0%

데이터갱신일자
Date

Distinct14
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:03:00
2024-04-30T05:06:02.318103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:06:02.420273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing3
Missing (%)12.0%
Infinite0
Infinite (%)0.0%
Mean200167.27
Minimum192346
Maximum207115.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-30T05:06:02.510258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum192346
5-th percentile197020.36
Q1198313.56
median199951.5
Q3201778.68
95-th percentile205828.98
Maximum207115.15
Range14769.156
Interquartile range (IQR)3465.1211

Descriptive statistics

Standard deviation3360.0883
Coefficient of variation (CV)0.016786402
Kurtosis0.70063904
Mean200167.27
Median Absolute Deviation (MAD)1807.0225
Skewness0.20065644
Sum4403679.9
Variance11290193
MonotonicityNot monotonic
2024-04-30T05:06:02.597888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
200059.060426424 2
 
8.0%
197278.891939281 1
 
4.0%
198795.525085201 1
 
4.0%
205860.651088631 1
 
4.0%
199930.122656943 1
 
4.0%
197397.284209115 1
 
4.0%
199214.851464856 1
 
4.0%
201718.214128081 1
 
4.0%
197583.394691008 1
 
4.0%
201907.246775887 1
 
4.0%
Other values (11) 11
44.0%
(Missing) 3
 
12.0%
ValueCountFrequency (%)
192345.998772546 1
4.0%
197006.752409975 1
4.0%
197278.891939281 1
4.0%
197397.284209115 1
4.0%
197583.394691008 1
4.0%
198198.430291162 1
4.0%
198658.943470079 1
4.0%
198677.971601726 1
4.0%
198795.525085201 1
4.0%
199214.851464856 1
4.0%
ValueCountFrequency (%)
207115.154623688 1
4.0%
205860.651088631 1
4.0%
205227.243400915 1
4.0%
204344.417701704 1
4.0%
201907.246775887 1
4.0%
201798.834918812 1
4.0%
201718.214128081 1
4.0%
200528.92226357 1
4.0%
200059.060426424 2
8.0%
199972.881431778 1
4.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing3
Missing (%)12.0%
Infinite0
Infinite (%)0.0%
Mean451969.57
Minimum443215.48
Maximum457921.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-30T05:06:02.692719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum443215.48
5-th percentile445277.06
Q1451897.4
median452514.13
Q3452835.47
95-th percentile455540.58
Maximum457921.34
Range14705.861
Interquartile range (IQR)938.06772

Descriptive statistics

Standard deviation3045.7701
Coefficient of variation (CV)0.0067388831
Kurtosis3.634641
Mean451969.57
Median Absolute Deviation (MAD)539.70288
Skewness-1.3865718
Sum9943330.5
Variance9276715.3
MonotonicityNot monotonic
2024-04-30T05:06:02.794159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
452429.765351919 2
 
8.0%
453572.355620921 1
 
4.0%
451811.272474605 1
 
4.0%
451025.902075739 1
 
4.0%
453823.821878719 1
 
4.0%
452669.83542629 1
 
4.0%
452458.867843213 1
 
4.0%
452890.678243406 1
 
4.0%
452513.612017871 1
 
4.0%
452514.653732367 1
 
4.0%
Other values (11) 11
44.0%
(Missing) 3
 
12.0%
ValueCountFrequency (%)
443215.482015837 1
4.0%
445072.723413572 1
4.0%
449159.520344009 1
4.0%
450851.141093645 1
4.0%
451025.902075739 1
4.0%
451811.272474605 1
4.0%
452155.781837257 1
4.0%
452429.765351919 2
8.0%
452458.867843213 1
4.0%
452513.612017871 1
4.0%
ValueCountFrequency (%)
457921.343231414 1
4.0%
455630.933037239 1
4.0%
453823.821878719 1
4.0%
453572.355620921 1
4.0%
453308.674806807 1
4.0%
452890.678243406 1
4.0%
452669.83542629 1
4.0%
452637.556986205 1
4.0%
452632.515846522 1
4.0%
452604.254902527 1
4.0%

법인구분명
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
법인
13 
<NA>
11 
개인
 
1

Length

Max length4
Median length2
Mean length2.88
Min length2

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
법인 13
52.0%
<NA> 11
44.0%
개인 1
 
4.0%

Length

2024-04-30T05:06:02.908251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:06:02.995462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 13
52.0%
na 11
44.0%
개인 1
 
4.0%

구분명
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
무료
14 
<NA>
11 

Length

Max length4
Median length2
Mean length2.88
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무료 14
56.0%
<NA> 11
44.0%

Length

2024-04-30T05:06:03.085432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:06:03.174178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 14
56.0%
na 11
44.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
03000000199830000761120000119980618<NA>4취소/말소/만료/정지/중지70등록취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 대치동 503호 29통 4반 개포1차우성아파트 2 1002서울특별시 강남구 남부순환로 2914, 2동 1002호 (대치동,개포1차우성아파트)<NA>대한민국재향군인회2005-03-29 09:56:59I2018-08-31 23:59:59.0<NA>205227.243401443215.482016법인무료
13000000199830000761120000219980618<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 장충동1가 105번지 1호 3통 6반 장충동라임카운티 502서울특별시 중구 동호로20가길 38, 502호 (장충동1가,장충동라임카운티)<NA>서울대학병원 무료직업소개소2003-09-02 09:43:23I2018-08-31 23:59:59.0<NA>200528.922264450851.141094법인무료
23000000199830000761120000319981211<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 흑석동 10호 9통 6반 명수대현대아파트 109 1202서울특별시 동작구 현충로 105, 109동 1202호 (흑석동,명수대현대아파트)<NA>종합금융협회(사)2004-05-04 11:11:49I2018-08-31 23:59:59.0<NA>197006.75241445072.723414법인무료
33000000199930000761120000119990325<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>충청남도 천안시 쌍용동 1923호 71통 10반 용암동아벽산아파트 110 201<NA><NA>국민문화연구소(사)2005-01-17 11:30:37I2018-08-31 23:59:59.0<NA><NA><NA>법인무료
43000000200230000761120000120021126<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 전농동 344번지 29호 27통 7반<NA><NA>우리민족음식문화보존협의회2004-12-27 14:05:45I2018-08-31 23:59:59.0<NA><NA><NA>법인무료
5300000020033000076112000012003-02-25<NA>1영업/정상20영업중<NA><NA><NA><NA>000232100237<NA><NA>서울특별시 종로구 경운동 90번지 3 호서울특별시 종로구 삼일대로 467 (경운동)<NA>서울노인복지센터2024-04-01 15:45:12U2023-12-04 00:03:00.0<NA>198677.971602452632.515847<NA><NA>
63000000200430000761120000120040302<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 갈현동 281번지 137호 16통 4반서울특별시 은평구 갈현로39가길 16 (갈현동)<NA>이워크취업상담소2006-05-01 10:38:04I2018-08-31 23:59:59.0<NA>192345.998773457921.343231법인무료
73000000200630001071120000120061103<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 중화동 30번지 5호 반적주택3차102호서울특별시 중랑구 동일로136가길 14 (중화동,반적주택3차102호)<NA>(사)한국텔레마케터협회2007-05-17 10:03:59I2018-08-31 23:59:59.0<NA>207115.154624455630.933037법인무료
8300000020073000107112000012007-03-22<NA>1영업/정상20영업중<NA><NA><NA><NA>027411326<NA><NA>서울특별시 종로구 명륜4가 113번지 1호서울특별시 종로구 대학로11길 23 (명륜4가)<NA>(사)여성중앙회 종로여성인력개발센터2024-01-11 10:42:11U2023-11-30 23:03:00.0<NA>199972.881432453308.674807<NA><NA>
93000000200730001071120000220070608<NA>3폐업40폐업20080422<NA><NA><NA><NA><NA>133123서울특별시 성동구 성수동2가 301번지 28호서울특별시 성동구 성수일로 48 (성수동2가)<NA>희망간병(전국공공서비스노동조합)2015-09-03 14:31:37I2018-08-31 23:59:59.0<NA>204344.417702449159.520344법인무료
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
15300000020123000163145000042012-12-07<NA>1영업/정상20영업중<NA><NA><NA><NA>0222302122<NA><NA>서울특별시 종로구 숭인2동 1371번지 (5층)서울특별시 종로구 종로 408 (숭인동, (5층))110-828사단법인 한국경영혁신중소기업협회2024-03-25 15:52:42U2023-12-02 22:07:00.0<NA>201907.246776452514.653732<NA><NA>
16300000020133000163145000012013-03-22<NA>1영업/정상20영업중<NA><NA><NA><NA>02 724 1013<NA><NA>서울특별시 종로구 적선동 122번지 1호 한국생산성본부서울특별시 종로구 새문안로5가길 32 (적선동)110-751한국생산성본부2024-01-15 18:12:31U2023-11-30 23:07:00.0<NA>197583.394691452513.612018<NA><NA>
173000000201330001631450000220130410<NA>1영업/정상20영업중<NA><NA><NA><NA>02 762 3374<NA><NA>서울특별시 종로구 숭인2동 546번지 2층서울특별시 종로구 숭인동2길 28, 2층 (숭인동)110827종로시니어클럽2019-03-21 13:08:00U2019-03-23 02:40:00.0<NA>201718.214128452890.678243법인무료
183000000201530001691450000420150708<NA>1영업/정상20영업중<NA><NA><NA><NA>02 744 8886<NA><NA><NA>서울특별시 종로구 대학로3길 14 (효제동, 2층)110850(사)대한노인회종로구지회2019-03-21 17:05:23U2019-03-23 02:40:00.0<NA>200059.060426452429.765352법인무료
193000000201830001691450000120180202<NA>1영업/정상20영업중<NA><NA><NA><NA>02 764 9051<NA><NA><NA>서울특별시 종로구 서순라길 89-8, 세기빌딩 (권농동)03134재단법인한국주얼리산업진흥재단2022-08-02 13:36:44U2021-12-08 00:04:00.0<NA>199214.851465452458.867843<NA><NA>
203000000201930002021450000220190129<NA>1영업/정상20영업중<NA><NA><NA><NA>02 67312600<NA><NA><NA>서울특별시 종로구 청계천로 35, 관정빌딩 3층 (서린동)03188재단법인 청년재단2023-01-30 11:29:39U2022-12-02 00:01:00.0<NA><NA><NA><NA><NA>
213000000202030002021450000120091224<NA>1영업/정상20영업중<NA><NA><NA><NA>02 525 5875<NA><NA>서울특별시 종로구 내자동 19 사학회관서울특별시 종로구 사직로 113, 사학회관 802호 (내자동)03041한국서비스산업진흥원무료직업소개소2021-07-07 13:04:44U2021-07-09 02:40:00.0<NA>197397.284209452669.835426법인무료
22300000020203000202145000062020-04-06<NA>1영업/정상20영업중<NA><NA><NA><NA>0236747722<NA><NA>서울특별시 종로구 명륜1가 46-3 주호빌딩서울특별시 종로구 혜화로 13, 주호빌딩 302호 (명륜1가)03068다가치포럼사회적협동조합2024-02-20 17:05:30U2023-12-01 22:02:00.0<NA>199930.122657453823.821879<NA><NA>
23300000020233000202145000042023-02-14<NA>1영업/정상20영업중<NA><NA><NA><NA>02 563 8088<NA><NA><NA>서울특별시 동대문구 천호대로 433(장안동)02645사단법인 벤처한림회2023-12-26 15:51:27U2022-11-01 22:08:00.0<NA>205860.651089451025.902076<NA><NA>
24300000020233000202145000162023-08-02<NA>1영업/정상20영업중<NA><NA><NA><NA>02 63657510<NA><NA><NA>서울특별시 종로구 청계천로 85, 삼일빌딩 8층 (관철동)03190사단법인 서울시관광협회2024-03-05 19:10:27U2023-12-03 00:07:00.0<NA>198795.525085451811.272475<NA><NA>