Overview

Dataset statistics

Number of variables34
Number of observations167
Missing cells1448
Missing cells (%)25.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory47.4 KiB
Average record size in memory290.8 B

Variable types

Categorical14
Text6
DateTime4
Unsupported7
Numeric3

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),문화체육업종명,공사립구분명,보험가입여부코드,지도자수,건축물동수,건축물연면적,회원모집총인원,세부업종명,법인명
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-19835/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
건축물연면적 is highly imbalanced (58.0%)Imbalance
회원모집총인원 is highly imbalanced (80.6%)Imbalance
인허가취소일자 has 167 (100.0%) missing valuesMissing
폐업일자 has 67 (40.1%) missing valuesMissing
휴업시작일자 has 167 (100.0%) missing valuesMissing
휴업종료일자 has 167 (100.0%) missing valuesMissing
재개업일자 has 167 (100.0%) missing valuesMissing
전화번호 has 44 (26.3%) missing valuesMissing
소재지면적 has 167 (100.0%) missing valuesMissing
소재지우편번호 has 47 (28.1%) missing valuesMissing
지번주소 has 3 (1.8%) missing valuesMissing
도로명주소 has 8 (4.8%) missing valuesMissing
도로명우편번호 has 98 (58.7%) missing valuesMissing
좌표정보(X) has 6 (3.6%) missing valuesMissing
좌표정보(Y) has 6 (3.6%) missing valuesMissing
세부업종명 has 167 (100.0%) missing valuesMissing
법인명 has 167 (100.0%) missing valuesMissing
관리번호 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
세부업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
법인명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-29 20:01:13.492095
Analysis finished2024-04-29 20:01:14.261905
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3080000
167 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3080000
2nd row3080000
3rd row3080000
4th row3080000
5th row3080000

Common Values

ValueCountFrequency (%)
3080000 167
100.0%

Length

2024-04-30T05:01:14.327725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:01:14.405499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3080000 167
100.0%

관리번호
Text

UNIQUE 

Distinct167
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-30T05:01:14.545215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3340
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique167 ?
Unique (%)100.0%

Sample

1st rowCDFH3301021989000001
2nd rowCDFH3301021989000002
3rd rowCDFH3301021989000003
4th rowCDFH3301021989000004
5th rowCDFH3301021989000005
ValueCountFrequency (%)
cdfh3301021989000001 1
 
0.6%
cdfh3301022011000001 1
 
0.6%
cdfh3301022006000005 1
 
0.6%
cdfh3301022006000006 1
 
0.6%
cdfh3301022007000001 1
 
0.6%
cdfh3301022007000002 1
 
0.6%
cdfh3301022007000003 1
 
0.6%
cdfh3301022007000004 1
 
0.6%
cdfh3301022007000005 1
 
0.6%
cdfh3301022007000006 1
 
0.6%
Other values (157) 157
94.0%
2024-04-30T05:01:14.818079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1359
40.7%
3 369
 
11.0%
2 333
 
10.0%
1 321
 
9.6%
C 167
 
5.0%
D 167
 
5.0%
F 167
 
5.0%
H 167
 
5.0%
9 128
 
3.8%
4 43
 
1.3%
Other values (4) 119
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2672
80.0%
Uppercase Letter 668
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1359
50.9%
3 369
 
13.8%
2 333
 
12.5%
1 321
 
12.0%
9 128
 
4.8%
4 43
 
1.6%
5 38
 
1.4%
6 32
 
1.2%
8 27
 
1.0%
7 22
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
C 167
25.0%
D 167
25.0%
F 167
25.0%
H 167
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2672
80.0%
Latin 668
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1359
50.9%
3 369
 
13.8%
2 333
 
12.5%
1 321
 
12.0%
9 128
 
4.8%
4 43
 
1.6%
5 38
 
1.4%
6 32
 
1.2%
8 27
 
1.0%
7 22
 
0.8%
Latin
ValueCountFrequency (%)
C 167
25.0%
D 167
25.0%
F 167
25.0%
H 167
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3340
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1359
40.7%
3 369
 
11.0%
2 333
 
10.0%
1 321
 
9.6%
C 167
 
5.0%
D 167
 
5.0%
F 167
 
5.0%
H 167
 
5.0%
9 128
 
3.8%
4 43
 
1.3%
Other values (4) 119
 
3.6%

인허가일자
Date

Distinct151
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum1989-12-14 00:00:00
Maximum2023-11-22 00:00:00
2024-04-30T05:01:14.948255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:01:15.071770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing167
Missing (%)100.0%
Memory size1.6 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3
86 
1
67 
4
14 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 86
51.5%
1 67
40.1%
4 14
 
8.4%

Length

2024-04-30T05:01:15.180985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:01:15.279174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 86
51.5%
1 67
40.1%
4 14
 
8.4%

영업상태명
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
폐업
86 
영업/정상
67 
취소/말소/만료/정지/중지
14 

Length

Max length14
Median length2
Mean length4.2095808
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 86
51.5%
영업/정상 67
40.1%
취소/말소/만료/정지/중지 14
 
8.4%

Length

2024-04-30T05:01:15.385817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:01:15.478171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 86
51.5%
영업/정상 67
40.1%
취소/말소/만료/정지/중지 14
 
8.4%

상세영업상태코드
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3
86 
13
67 
35
14 

Length

Max length2
Median length1
Mean length1.4850299
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row35
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 86
51.5%
13 67
40.1%
35 14
 
8.4%

Length

2024-04-30T05:01:15.571307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:01:15.654172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 86
51.5%
13 67
40.1%
35 14
 
8.4%

상세영업상태명
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
폐업
86 
영업중
67 
직권말소
14 

Length

Max length4
Median length2
Mean length2.5688623
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 86
51.5%
영업중 67
40.1%
직권말소 14
 
8.4%

Length

2024-04-30T05:01:15.747763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:01:15.839273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 86
51.5%
영업중 67
40.1%
직권말소 14
 
8.4%

폐업일자
Date

MISSING 

Distinct83
Distinct (%)83.0%
Missing67
Missing (%)40.1%
Memory size1.4 KiB
Minimum1997-01-01 00:00:00
Maximum2022-06-22 00:00:00
2024-04-30T05:01:15.939533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:01:16.063548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing167
Missing (%)100.0%
Memory size1.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing167
Missing (%)100.0%
Memory size1.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing167
Missing (%)100.0%
Memory size1.6 KiB

전화번호
Text

MISSING 

Distinct111
Distinct (%)90.2%
Missing44
Missing (%)26.3%
Memory size1.4 KiB
2024-04-30T05:01:16.332753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.4796748
Min length8

Characters and Unicode

Total characters1043
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)81.3%

Sample

1st row986-5112
2nd row993-5421
3rd row993-6868
4th row981-5920
5th row988-1045
ValueCountFrequency (%)
993-1716 3
 
2.4%
981-5920 2
 
1.6%
903-2071 2
 
1.6%
999-8163 2
 
1.6%
988-1045 2
 
1.6%
982-8466 2
 
1.6%
999-2326 2
 
1.6%
984-7724 2
 
1.6%
985-6112 2
 
1.6%
903-9457 2
 
1.6%
Other values (101) 102
82.9%
2024-04-30T05:01:16.728030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 211
20.2%
- 138
13.2%
8 108
10.4%
0 96
9.2%
2 85
8.1%
1 77
 
7.4%
4 75
 
7.2%
5 69
 
6.6%
7 63
 
6.0%
3 60
 
5.8%
Other values (2) 61
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 901
86.4%
Dash Punctuation 138
 
13.2%
Close Punctuation 4
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 211
23.4%
8 108
12.0%
0 96
10.7%
2 85
9.4%
1 77
 
8.5%
4 75
 
8.3%
5 69
 
7.7%
7 63
 
7.0%
3 60
 
6.7%
6 57
 
6.3%
Dash Punctuation
ValueCountFrequency (%)
- 138
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1043
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 211
20.2%
- 138
13.2%
8 108
10.4%
0 96
9.2%
2 85
8.1%
1 77
 
7.4%
4 75
 
7.2%
5 69
 
6.6%
7 63
 
6.0%
3 60
 
5.8%
Other values (2) 61
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1043
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 211
20.2%
- 138
13.2%
8 108
10.4%
0 96
9.2%
2 85
8.1%
1 77
 
7.4%
4 75
 
7.2%
5 69
 
6.6%
7 63
 
6.0%
3 60
 
5.8%
Other values (2) 61
 
5.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing167
Missing (%)100.0%
Memory size1.6 KiB

소재지우편번호
Text

MISSING 

Distinct57
Distinct (%)47.5%
Missing47
Missing (%)28.1%
Memory size1.4 KiB
2024-04-30T05:01:16.923497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1083333
Min length6

Characters and Unicode

Total characters733
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

Unique31 ?
Unique (%)25.8%

Sample

1st row142-812
2nd row142876
3rd row142877
4th row142821
5th row142823
ValueCountFrequency (%)
142877 7
 
5.8%
142868 6
 
5.0%
142872 5
 
4.2%
142809 5
 
4.2%
142874 5
 
4.2%
142886 5
 
4.2%
142861 4
 
3.3%
142879 4
 
3.3%
142821 4
 
3.3%
142804 4
 
3.3%
Other values (47) 71
59.2%
2024-04-30T05:01:17.213840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 149
20.3%
2 143
19.5%
4 138
18.8%
8 132
18.0%
7 52
 
7.1%
0 40
 
5.5%
6 39
 
5.3%
- 13
 
1.8%
9 12
 
1.6%
5 8
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 720
98.2%
Dash Punctuation 13
 
1.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 149
20.7%
2 143
19.9%
4 138
19.2%
8 132
18.3%
7 52
 
7.2%
0 40
 
5.6%
6 39
 
5.4%
9 12
 
1.7%
5 8
 
1.1%
3 7
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 733
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 149
20.3%
2 143
19.5%
4 138
18.8%
8 132
18.0%
7 52
 
7.1%
0 40
 
5.5%
6 39
 
5.3%
- 13
 
1.8%
9 12
 
1.6%
5 8
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 733
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 149
20.3%
2 143
19.5%
4 138
18.8%
8 132
18.0%
7 52
 
7.1%
0 40
 
5.5%
6 39
 
5.3%
- 13
 
1.8%
9 12
 
1.6%
5 8
 
1.1%

지번주소
Text

MISSING 

Distinct149
Distinct (%)90.9%
Missing3
Missing (%)1.8%
Memory size1.4 KiB
2024-04-30T05:01:17.509596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length38
Mean length23.72561
Min length16

Characters and Unicode

Total characters3891
Distinct characters96
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

Unique136 ?
Unique (%)82.9%

Sample

1st row서울특별시 강북구 미아동 304-8
2nd row서울특별시 강북구 수유동 175-52번지
3rd row서울특별시 강북구 수유동 318-3번지 3층
4th row서울특별시 강북구 미아동 749-3번지
5th row서울특별시 강북구 미아동 777번지
ValueCountFrequency (%)
서울특별시 164
22.2%
강북구 164
22.2%
미아동 64
 
8.7%
수유동 61
 
8.3%
번동 33
 
4.5%
2층 16
 
2.2%
3층 9
 
1.2%
우이동 6
 
0.8%
605-315번지 3
 
0.4%
331-5번지 3
 
0.4%
Other values (191) 216
29.2%
2024-04-30T05:01:17.928499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
692
17.8%
동 170
 
4.4%
시 169
 
4.3%
북 168
 
4.3%
강 165
 
4.2%
서 164
 
4.2%
특 164
 
4.2%
별 164
 
4.2%
구 164
 
4.2%
울 164
 
4.2%
Other values (86) 1707
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2222
57.1%
Decimal Number 810
 
20.8%
Space Separator 692
 
17.8%
Dash Punctuation 156
 
4.0%
Uppercase Letter 7
 
0.2%
Other Punctuation 2
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 170
 
7.7%
시 169
 
7.6%
북 168
 
7.6%
강 165
 
7.4%
서 164
 
7.4%
특 164
 
7.4%
별 164
 
7.4%
구 164
 
7.4%
울 164
 
7.4%
번 145
 
6.5%
Other values (68) 585
26.3%
Decimal Number
ValueCountFrequency (%)
2 130
16.0%
3 129
15.9%
1 127
15.7%
4 94
11.6%
5 74
9.1%
0 61
7.5%
6 53
6.5%
9 52
 
6.4%
7 49
 
6.0%
8 41
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
K 3
42.9%
S 3
42.9%
B 1
 
14.3%
Space Separator
ValueCountFrequency (%)
692
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 156
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2222
57.1%
Common 1662
42.7%
Latin 7
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 170
 
7.7%
시 169
 
7.6%
북 168
 
7.6%
강 165
 
7.4%
서 164
 
7.4%
특 164
 
7.4%
별 164
 
7.4%
구 164
 
7.4%
울 164
 
7.4%
번 145
 
6.5%
Other values (68) 585
26.3%
Common
ValueCountFrequency (%)
692
41.6%
- 156
 
9.4%
2 130
 
7.8%
3 129
 
7.8%
1 127
 
7.6%
4 94
 
5.7%
5 74
 
4.5%
0 61
 
3.7%
6 53
 
3.2%
9 52
 
3.1%
Other values (5) 94
 
5.7%
Latin
ValueCountFrequency (%)
K 3
42.9%
S 3
42.9%
B 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2222
57.1%
ASCII 1669
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
692
41.5%
- 156
 
9.3%
2 130
 
7.8%
3 129
 
7.7%
1 127
 
7.6%
4 94
 
5.6%
5 74
 
4.4%
0 61
 
3.7%
6 53
 
3.2%
9 52
 
3.1%
Other values (8) 101
 
6.1%
Hangul
ValueCountFrequency (%)
동 170
 
7.7%
시 169
 
7.6%
북 168
 
7.6%
강 165
 
7.4%
서 164
 
7.4%
특 164
 
7.4%
별 164
 
7.4%
구 164
 
7.4%
울 164
 
7.4%
번 145
 
6.5%
Other values (68) 585
26.3%

도로명주소
Text

MISSING 

Distinct150
Distinct (%)94.3%
Missing8
Missing (%)4.8%
Memory size1.4 KiB
2024-04-30T05:01:18.175799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length42
Mean length28.691824
Min length22

Characters and Unicode

Total characters4562
Distinct characters120
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

Unique141 ?
Unique (%)88.7%

Sample

1st row서울특별시 강북구 도봉로 177 (미아동)
2nd row서울특별시 강북구 한천로144길 32 (수유동)
3rd row서울특별시 강북구 삼양로124길 8, 3층 (수유동)
4th row서울특별시 강북구 삼양로 221 (미아동)
5th row서울특별시 강북구 솔샘로65길 67 (미아동)
ValueCountFrequency (%)
서울특별시 159
17.5%
강북구 159
17.5%
수유동 54
 
5.9%
미아동 49
 
5.4%
번동 23
 
2.5%
삼양로 23
 
2.5%
2층 20
 
2.2%
3층 13
 
1.4%
솔샘로 12
 
1.3%
도봉로 9
 
1.0%
Other values (250) 387
42.6%
2024-04-30T05:01:18.542839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
797
 
17.5%
동 170
 
3.7%
시 161
 
3.5%
북 161
 
3.5%
( 160
 
3.5%
) 160
 
3.5%
강 160
 
3.5%
로 159
 
3.5%
서 159
 
3.5%
구 159
 
3.5%
Other values (110) 2316
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2623
57.5%
Space Separator 797
 
17.5%
Decimal Number 697
 
15.3%
Open Punctuation 160
 
3.5%
Close Punctuation 160
 
3.5%
Other Punctuation 104
 
2.3%
Dash Punctuation 15
 
0.3%
Uppercase Letter 5
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 170
 
6.5%
시 161
 
6.1%
북 161
 
6.1%
강 160
 
6.1%
로 159
 
6.1%
서 159
 
6.1%
구 159
 
6.1%
별 159
 
6.1%
특 159
 
6.1%
울 159
 
6.1%
Other values (91) 1017
38.8%
Decimal Number
ValueCountFrequency (%)
2 140
20.1%
1 125
17.9%
3 98
14.1%
4 77
11.0%
5 57
8.2%
7 47
 
6.7%
9 46
 
6.6%
0 41
 
5.9%
8 36
 
5.2%
6 30
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
K 2
40.0%
S 2
40.0%
A 1
20.0%
Space Separator
ValueCountFrequency (%)
797
100.0%
Open Punctuation
ValueCountFrequency (%)
( 160
100.0%
Close Punctuation
ValueCountFrequency (%)
) 160
100.0%
Other Punctuation
ValueCountFrequency (%)
, 104
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2623
57.5%
Common 1934
42.4%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 170
 
6.5%
시 161
 
6.1%
북 161
 
6.1%
강 160
 
6.1%
로 159
 
6.1%
서 159
 
6.1%
구 159
 
6.1%
별 159
 
6.1%
특 159
 
6.1%
울 159
 
6.1%
Other values (91) 1017
38.8%
Common
ValueCountFrequency (%)
797
41.2%
( 160
 
8.3%
) 160
 
8.3%
2 140
 
7.2%
1 125
 
6.5%
, 104
 
5.4%
3 98
 
5.1%
4 77
 
4.0%
5 57
 
2.9%
7 47
 
2.4%
Other values (6) 169
 
8.7%
Latin
ValueCountFrequency (%)
K 2
40.0%
S 2
40.0%
A 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2623
57.5%
ASCII 1939
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
797
41.1%
( 160
 
8.3%
) 160
 
8.3%
2 140
 
7.2%
1 125
 
6.4%
, 104
 
5.4%
3 98
 
5.1%
4 77
 
4.0%
5 57
 
2.9%
7 47
 
2.4%
Other values (9) 174
 
9.0%
Hangul
ValueCountFrequency (%)
동 170
 
6.5%
시 161
 
6.1%
북 161
 
6.1%
강 160
 
6.1%
로 159
 
6.1%
서 159
 
6.1%
구 159
 
6.1%
별 159
 
6.1%
특 159
 
6.1%
울 159
 
6.1%
Other values (91) 1017
38.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)76.8%
Missing98
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean3180.6377
Minimum1004
Maximum142809
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-30T05:01:18.670749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1004
5-th percentile1031.4
Q11052
median1144
Q31194
95-th percentile1231.8
Maximum142809
Range141805
Interquartile range (IQR)142

Descriptive statistics

Standard deviation17056.629
Coefficient of variation (CV)5.3626446
Kurtosis68.997387
Mean3180.6377
Median Absolute Deviation (MAD)69
Skewness8.3063913
Sum219464
Variance2.9092861 × 108
MonotonicityNot monotonic
2024-04-30T05:01:18.791615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1041 4
 
2.4%
1194 3
 
1.8%
1224 3
 
1.8%
1191 2
 
1.2%
1192 2
 
1.2%
1054 2
 
1.2%
1048 2
 
1.2%
1066 2
 
1.2%
1160 2
 
1.2%
1031 2
 
1.2%
Other values (43) 45
26.9%
(Missing) 98
58.7%
ValueCountFrequency (%)
1004 1
 
0.6%
1015 1
 
0.6%
1031 2
1.2%
1032 1
 
0.6%
1038 1
 
0.6%
1039 1
 
0.6%
1041 4
2.4%
1042 1
 
0.6%
1044 1
 
0.6%
1047 1
 
0.6%
ValueCountFrequency (%)
142809 1
 
0.6%
1237 2
1.2%
1233 1
 
0.6%
1230 1
 
0.6%
1226 1
 
0.6%
1224 3
1.8%
1222 1
 
0.6%
1211 1
 
0.6%
1210 1
 
0.6%
1205 1
 
0.6%

사업장명
Text

Distinct155
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-30T05:01:19.001935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length7.6227545
Min length2

Characters and Unicode

Total characters1273
Distinct characters177
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

Unique145 ?
Unique (%)86.8%

Sample

1st row성북체육도장(태권도)
2nd row국가대표석사3관
3rd row삼원체육관
4th row전무회(태권도)
5th row삼양체육관
ValueCountFrequency (%)
태권도 21
 
8.5%
용인대 10
 
4.1%
체육관 6
 
2.4%
태권도장 6
 
2.4%
경희대 6
 
2.4%
한빛태권도 3
 
1.2%
한양태권도 3
 
1.2%
합기도 3
 
1.2%
삼양검도관 2
 
0.8%
왕호 2
 
0.8%
Other values (168) 184
74.8%
2024-04-30T05:01:19.282637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 109
 
8.6%
권 98
 
7.7%
태 95
 
7.5%
79
 
6.2%
관 71
 
5.6%
체 57
 
4.5%
육 55
 
4.3%
대 29
 
2.3%
이 19
 
1.5%
) 18
 
1.4%
Other values (167) 643
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1130
88.8%
Space Separator 79
 
6.2%
Close Punctuation 18
 
1.4%
Open Punctuation 18
 
1.4%
Uppercase Letter 18
 
1.4%
Other Punctuation 5
 
0.4%
Decimal Number 3
 
0.2%
Lowercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 109
 
9.6%
권 98
 
8.7%
태 95
 
8.4%
관 71
 
6.3%
체 57
 
5.0%
육 55
 
4.9%
대 29
 
2.6%
이 19
 
1.7%
싱 17
 
1.5%
복 17
 
1.5%
Other values (152) 563
49.8%
Uppercase Letter
ValueCountFrequency (%)
M 6
33.3%
K 4
22.2%
A 3
16.7%
D 2
 
11.1%
B 2
 
11.1%
S 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
& 1
 
20.0%
Decimal Number
ValueCountFrequency (%)
3 2
66.7%
2 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
s 1
50.0%
k 1
50.0%
Space Separator
ValueCountFrequency (%)
79
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1130
88.8%
Common 123
 
9.7%
Latin 20
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 109
 
9.6%
권 98
 
8.7%
태 95
 
8.4%
관 71
 
6.3%
체 57
 
5.0%
육 55
 
4.9%
대 29
 
2.6%
이 19
 
1.7%
싱 17
 
1.5%
복 17
 
1.5%
Other values (152) 563
49.8%
Latin
ValueCountFrequency (%)
M 6
30.0%
K 4
20.0%
A 3
15.0%
D 2
 
10.0%
B 2
 
10.0%
s 1
 
5.0%
k 1
 
5.0%
S 1
 
5.0%
Common
ValueCountFrequency (%)
79
64.2%
) 18
 
14.6%
( 18
 
14.6%
, 4
 
3.3%
3 2
 
1.6%
& 1
 
0.8%
2 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1130
88.8%
ASCII 143
 
11.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 109
 
9.6%
권 98
 
8.7%
태 95
 
8.4%
관 71
 
6.3%
체 57
 
5.0%
육 55
 
4.9%
대 29
 
2.6%
이 19
 
1.7%
싱 17
 
1.5%
복 17
 
1.5%
Other values (152) 563
49.8%
ASCII
ValueCountFrequency (%)
79
55.2%
) 18
 
12.6%
( 18
 
12.6%
M 6
 
4.2%
K 4
 
2.8%
, 4
 
2.8%
A 3
 
2.1%
3 2
 
1.4%
D 2
 
1.4%
B 2
 
1.4%
Other values (5) 5
 
3.5%

최종수정일자
Date

Distinct143
Distinct (%)85.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2003-04-17 19:37:24
Maximum2024-01-11 15:55:57
2024-04-30T05:01:19.397922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:01:19.519913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
I
109 
U
58 

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 109
65.3%
U 58
34.7%

Length

2024-04-30T05:01:19.906058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:01:20.049767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 109
65.3%
u 58
34.7%

데이터갱신일자
Date

Distinct41
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-01 00:07:00
2024-04-30T05:01:20.174834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:01:20.283679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)

업태구분명
Categorical

Distinct6
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
114 
태권도
29 
권투
15 
합기도
 
5
유도
 
2

Length

Max length4
Median length4
Mean length3.5688623
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 114
68.3%
태권도 29
 
17.4%
권투 15
 
9.0%
합기도 5
 
3.0%
유도 2
 
1.2%
검도 2
 
1.2%

Length

2024-04-30T05:01:20.403070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:01:20.510373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 114
68.3%
태권도 29
 
17.4%
권투 15
 
9.0%
합기도 5
 
3.0%
유도 2
 
1.2%
검도 2
 
1.2%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct131
Distinct (%)81.4%
Missing6
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean202054.53
Minimum200782.75
Maximum203981.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-30T05:01:20.621675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200782.75
5-th percentile201045.61
Q1201467.07
median201922.43
Q3202562.64
95-th percentile203465.75
Maximum203981.35
Range3198.598
Interquartile range (IQR)1095.5718

Descriptive statistics

Standard deviation751.54751
Coefficient of variation (CV)0.003719528
Kurtosis-0.4487937
Mean202054.53
Median Absolute Deviation (MAD)562.72931
Skewness0.55160552
Sum32530780
Variance564823.65
MonotonicityNot monotonic
2024-04-30T05:01:20.739959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201353.854108786 3
 
1.8%
202495.154177108 3
 
1.8%
203465.746576461 3
 
1.8%
201609.354237178 3
 
1.8%
202178.677909734 3
 
1.8%
201762.419935414 3
 
1.8%
201164.132546456 2
 
1.2%
201359.702700461 2
 
1.2%
201740.58182517 2
 
1.2%
201931.09230911 2
 
1.2%
Other values (121) 135
80.8%
(Missing) 6
 
3.6%
ValueCountFrequency (%)
200782.752017835 1
0.6%
200916.149113442 2
1.2%
200921.855251696 2
1.2%
200996.748131764 1
0.6%
201001.961050406 1
0.6%
201005.928621644 1
0.6%
201045.611312321 2
1.2%
201051.844084775 1
0.6%
201059.873232343 1
0.6%
201082.231739156 1
0.6%
ValueCountFrequency (%)
203981.35 1
 
0.6%
203932.991517795 1
 
0.6%
203821.073410934 1
 
0.6%
203796.175115204 1
 
0.6%
203760.618259685 1
 
0.6%
203553.42498418 1
 
0.6%
203518.852697746 1
 
0.6%
203465.746576461 3
1.8%
203448.804741152 1
 
0.6%
203407.971653433 1
 
0.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct131
Distinct (%)81.4%
Missing6
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean458801.7
Minimum456599.02
Maximum461952.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-30T05:01:20.865399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum456599.02
5-th percentile456807.18
Q1457679.95
median458755.15
Q3459865.81
95-th percentile460489.06
Maximum461952.07
Range5353.0484
Interquartile range (IQR)2185.8575

Descriptive statistics

Standard deviation1287.6246
Coefficient of variation (CV)0.0028064948
Kurtosis-0.69468903
Mean458801.7
Median Absolute Deviation (MAD)1110.6579
Skewness0.21113609
Sum73867074
Variance1657977.1
MonotonicityNot monotonic
2024-04-30T05:01:20.992542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
460210.153169985 3
 
1.8%
457585.018378436 3
 
1.8%
458475.29343941 3
 
1.8%
459865.807260458 3
 
1.8%
460149.135420908 3
 
1.8%
457441.244070216 3
 
1.8%
461952.072409966 2
 
1.2%
457513.46268942 2
 
1.2%
460327.492469955 2
 
1.2%
459430.791623266 2
 
1.2%
Other values (121) 135
80.8%
(Missing) 6
 
3.6%
ValueCountFrequency (%)
456599.023992356 1
0.6%
456614.805805491 1
0.6%
456644.24633659 2
1.2%
456689.130734437 2
1.2%
456707.449073944 1
0.6%
456758.813670659 1
0.6%
456807.176895604 1
0.6%
456808.972105684 1
0.6%
456950.785938383 1
0.6%
456961.129367977 1
0.6%
ValueCountFrequency (%)
461952.072409966 2
1.2%
461824.130497677 1
0.6%
461818.191047424 1
0.6%
461811.636263748 1
0.6%
461347.96222255 1
0.6%
460673.965765146 1
0.6%
460569.684262904 1
0.6%
460489.056068817 1
0.6%
460414.044847205 1
0.6%
460402.34508692 2
1.2%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
체육도장업
122 
<NA>
45 

Length

Max length5
Median length5
Mean length4.7305389
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체육도장업 122
73.1%
<NA> 45
 
26.9%

Length

2024-04-30T05:01:21.098726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:01:21.196539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육도장업 122
73.1%
na 45
 
26.9%

공사립구분명
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
사립
122 
<NA>
45 

Length

Max length4
Median length2
Mean length2.5389222
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 122
73.1%
<NA> 45
 
26.9%

Length

2024-04-30T05:01:21.306918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:01:21.419937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 122
73.1%
na 45
 
26.9%

보험가입여부코드
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
147 
0
20 

Length

Max length4
Median length4
Mean length3.6407186
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 147
88.0%
0 20
 
12.0%

Length

2024-04-30T05:01:21.517894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:01:21.624105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 147
88.0%
0 20
 
12.0%

지도자수
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
124 
0
35 
1
 
8

Length

Max length4
Median length4
Mean length3.2275449
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 124
74.3%
0 35
 
21.0%
1 8
 
4.8%

Length

2024-04-30T05:01:21.719370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:01:21.806507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 124
74.3%
0 35
 
21.0%
1 8
 
4.8%

건축물동수
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
101 
0
61 
1
 
5

Length

Max length4
Median length4
Mean length2.8143713
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 101
60.5%
0 61
36.5%
1 5
 
3.0%

Length

2024-04-30T05:01:21.894650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:01:21.981202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 101
60.5%
0 61
36.5%
1 5
 
3.0%

건축물연면적
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
112 
0.0
51 
146.35
 
1
533.0
 
1
639.43
 
1

Length

Max length7
Median length4
Mean length3.742515
Min length3

Unique

Unique4 ?
Unique (%)2.4%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
<NA> 112
67.1%
0.0 51
30.5%
146.35 1
 
0.6%
533.0 1
 
0.6%
639.43 1
 
0.6%
4439.75 1
 
0.6%

Length

2024-04-30T05:01:22.078839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:01:22.176752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 112
67.1%
0.0 51
30.5%
146.35 1
 
0.6%
533.0 1
 
0.6%
639.43 1
 
0.6%
4439.75 1
 
0.6%

회원모집총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
162 
0
 
5

Length

Max length4
Median length4
Mean length3.9101796
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 162
97.0%
0 5
 
3.0%

Length

2024-04-30T05:01:22.289716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:01:22.386035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 162
97.0%
0 5
 
3.0%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing167
Missing (%)100.0%
Memory size1.6 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing167
Missing (%)100.0%
Memory size1.6 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03080000CDFH33010219890000011989-12-14<NA>4취소/말소/만료/정지/중지35직권말소2018-07-26<NA><NA><NA>986-5112<NA>142-812서울특별시 강북구 미아동 304-8서울특별시 강북구 도봉로 177 (미아동)<NA>성북체육도장(태권도)2023-10-17 19:22:26U2022-10-30 23:09:00.0태권도202269.364854458034.186453<NA><NA><NA><NA><NA><NA><NA><NA><NA>
13080000CDFH330102198900000219891214<NA>3폐업3폐업20050302<NA><NA><NA>993-5421<NA>142876서울특별시 강북구 수유동 175-52번지서울특별시 강북구 한천로144길 32 (수유동)<NA>국가대표석사3관2005-09-01 17:07:38I2018-08-31 23:59:59.0<NA>202278.840515459986.450411체육도장업사립0<NA><NA><NA><NA><NA><NA>
23080000CDFH330102198900000319891214<NA>3폐업3폐업20180405<NA><NA><NA>993-6868<NA>142877서울특별시 강북구 수유동 318-3번지 3층서울특별시 강북구 삼양로124길 8, 3층 (수유동)1039삼원체육관2018-04-05 17:40:43I2018-08-31 23:59:59.0<NA>201360.296345460290.256729체육도장업사립<NA><NA>0<NA><NA><NA><NA>
33080000CDFH330102198900000419891214<NA>3폐업3폐업19980309<NA><NA><NA>981-5920<NA>142821서울특별시 강북구 미아동 749-3번지서울특별시 강북구 삼양로 221 (미아동)<NA>전무회(태권도)2003-04-17 19:37:24I2018-08-31 23:59:59.0<NA>201601.668179457866.343622체육도장업사립<NA>000.0<NA><NA><NA>
43080000CDFH330102198900000519891214<NA>3폐업3폐업19990331<NA><NA><NA>988-1045<NA>142823서울특별시 강북구 미아동 777번지<NA><NA>삼양체육관2003-04-17 19:37:24I2018-08-31 23:59:59.0<NA><NA><NA>체육도장업사립<NA>000.0<NA><NA><NA>
53080000CDFH330102198900000619891214<NA>3폐업3폐업20140612<NA><NA><NA>903-8118<NA>142884서울특별시 강북구 수유동 409-2번지<NA><NA>우이태권도2014-06-12 11:16:59I2018-08-31 23:59:59.0<NA><NA><NA>체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
63080000CDFH330102198900000719891214<NA>3폐업3폐업20010607<NA><NA><NA>981-7330<NA>142815서울특별시 강북구 미아동 324-6번지서울특별시 강북구 솔샘로65길 67 (미아동)<NA>지성태권도2003-04-17 19:37:24I2018-08-31 23:59:59.0<NA>202253.680755457539.854903체육도장업사립<NA>000.0<NA><NA><NA>
73080000CDFH330102199000000119901214<NA>3폐업3폐업20170609<NA><NA><NA>902-6195<NA>142872서울특별시 강북구 수유동 29-73번지서울특별시 강북구 노해로11길 42 (수유동)1076신선태권도2017-06-10 11:15:29I2018-08-31 23:59:59.0<NA>201723.534028459620.383863체육도장업사립<NA><NA>0<NA><NA><NA><NA>
83080000CDFH330102199000000319900403<NA>3폐업3폐업20070406<NA><NA><NA>904-2634<NA>142891서울특별시 강북구 수유동 119-12번지서울특별시 강북구 삼양로 348 (수유동)<NA>국가대표석사2관2007-04-06 16:49:53I2018-08-31 23:59:59.0<NA>201487.084792459132.922625체육도장업사립0<NA><NA><NA><NA><NA><NA>
93080000CDFH330102199000000419901025<NA>3폐업3폐업19970331<NA><NA><NA>993-1716<NA>142868서울특별시 강북구 번동 462-110번지서울특별시 강북구 도봉로96길 24 (번동)<NA>한양태권도2003-04-17 19:37:24I2018-08-31 23:59:59.0<NA>202562.642642459753.167963체육도장업사립<NA>000.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
1573080000CDFH330102202000000420200902<NA>1영업/정상13영업중<NA><NA><NA><NA>02-945-3151<NA><NA>서울특별시 강북구 미아동 887-5 선경빌딩서울특별시 강북구 삼양로19길 206, 선경빌딩 2층 (미아동)1193명지대 석사 합기도 연무관2022-12-16 09:03:31U2021-11-01 23:08:00.0합기도<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1583080000CDFH330102202100000120210208<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8065-7587<NA><NA>서울특별시 강북구 수유동 254-8 지층서울특별시 강북구 노해로23길 49, 지층 (수유동)1048디케이비(DKB)합기도2022-12-09 14:02:21U2021-11-01 23:01:00.0합기도201740.581825460327.49247<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1593080000CDFH330102202100000220210811<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 554-95 연환빌딩서울특별시 강북구 인수봉로 272-1, 연환빌딩 2층 (수유동)1031어울림 태권도장2022-11-22 13:25:50U2021-10-31 22:04:00.0태권도200916.149113460073.821986<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1603080000CDFH330102202100000320211019<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 392-32 대경빌딩서울특별시 강북구 삼양로100길 20, 대경빌딩 3층 (수유동)1075경희대 석사 체육관2022-10-20 11:38:35U2021-10-30 22:02:00.0태권도201455.711095459688.285876<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1613080000CDFH330102202200000120220428<NA>1영업/정상13영업중<NA><NA><NA><NA>02-998-8441<NA><NA>서울특별시 강북구 수유동 230-1 광덕빌딩서울특별시 강북구 노해로8길 2, 광덕빌딩 3층 (수유동)1073슈가 복싱2022-04-28 17:54:18I2021-12-03 21:00:00.0권투201978.89106459476.488815<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1623080000CDFH330102202200000220221221<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 174-9서울특별시 강북구 도봉로 369, 지층 (수유동)1054골드로드복싱2022-12-21 09:14:24I2021-11-01 22:03:00.0권투202376.010239459778.715958<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1633080000CDFH33010220230000012023-03-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 번동 308-3 창암빌딩서울특별시 강북구 오현로34길 12, 지층 (번동)1224번동탑짐(주짓수,킥복싱,무에타이,복싱)2023-03-29 14:59:36I2022-12-04 00:01:00.0권투203465.746576458475.293439<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1643080000CDFH33010220230000022023-06-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 53-1 동명빌딩서울특별시 강북구 오패산로 130, 동명빌딩 4층 (미아동)1233슈가복싱 미아사거리점2023-09-11 15:39:34U2022-12-08 23:03:00.0권투202955.142977456807.176896<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1653080000CDFH33010220230000032023-08-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 번동 310-18 한성빌딩서울특별시 강북구 오현로 193, 한성빌딩 지층 (번동)1143슈가복싱2023-08-18 16:57:53I2022-12-07 22:00:00.0권투203407.971653458515.779547<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1663080000CDFH33010220230000042023-11-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 183-4 한영빌딩 202호서울특별시 강북구 노해로 88, 한영빌딩 202호 (수유동)1051이흥덕 유도 체육관 수유관2023-11-22 17:44:43I2022-10-31 22:04:00.0유도201931.867791460104.86529<NA><NA><NA><NA><NA><NA><NA><NA><NA>