Overview

Dataset statistics

Number of variables34
Number of observations167
Missing cells1830
Missing cells (%)32.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory47.6 KiB
Average record size in memory291.8 B

Variable types

Categorical11
Text5
DateTime4
Unsupported8
Numeric5
Boolean1

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
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-19858/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
보험가입여부코드 has constant value ""Constant
인허가취소일자 has 167 (100.0%) missing valuesMissing
폐업일자 has 85 (50.9%) 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 49 (29.3%) missing valuesMissing
소재지면적 has 167 (100.0%) missing valuesMissing
소재지우편번호 has 87 (52.1%) missing valuesMissing
도로명우편번호 has 3 (1.8%) missing valuesMissing
업태구분명 has 167 (100.0%) missing valuesMissing
보험가입여부코드 has 166 (99.4%) missing valuesMissing
건축물연면적 has 101 (60.5%) 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
업태구분명 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
건축물연면적 has 15 (9.0%) zerosZeros

Reproduction

Analysis started2024-05-11 06:12:13.030342
Analysis finished2024-05-11 06:12:13.729553
Duration0.7 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
3060000
167 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3060000
2nd row3060000
3rd row3060000
4th row3060000
5th row3060000

Common Values

ValueCountFrequency (%)
3060000 167
100.0%

Length

2024-05-11T15:12:13.822128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:13.930925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 167
100.0%

관리번호
Text

UNIQUE 

Distinct167
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-11T15:12:14.127840image/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 rowCDFH3301061989000001
2nd rowCDFH3301061989000002
3rd rowCDFH3301061992000001
4th rowCDFH3301061993000001
5th rowCDFH3301061994000001
ValueCountFrequency (%)
cdfh3301061989000001 1
 
0.6%
cdfh3301062019000006 1
 
0.6%
cdfh3301062016000003 1
 
0.6%
cdfh3301062016000004 1
 
0.6%
cdfh3301062016000005 1
 
0.6%
cdfh3301062016000006 1
 
0.6%
cdfh3301062017000001 1
 
0.6%
cdfh3301062017000002 1
 
0.6%
cdfh3301062017000003 1
 
0.6%
cdfh3301062017000004 1
 
0.6%
Other values (157) 157
94.0%
2024-05-11T15:12:14.520344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1365
40.9%
3 388
 
11.6%
1 302
 
9.0%
2 236
 
7.1%
6 190
 
5.7%
C 167
 
5.0%
D 167
 
5.0%
F 167
 
5.0%
H 167
 
5.0%
9 70
 
2.1%
Other values (4) 121
 
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 1365
51.1%
3 388
 
14.5%
1 302
 
11.3%
2 236
 
8.8%
6 190
 
7.1%
9 70
 
2.6%
4 41
 
1.5%
5 37
 
1.4%
7 23
 
0.9%
8 20
 
0.7%
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 1365
51.1%
3 388
 
14.5%
1 302
 
11.3%
2 236
 
8.8%
6 190
 
7.1%
9 70
 
2.6%
4 41
 
1.5%
5 37
 
1.4%
7 23
 
0.9%
8 20
 
0.7%
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 1365
40.9%
3 388
 
11.6%
1 302
 
9.0%
2 236
 
7.1%
6 190
 
5.7%
C 167
 
5.0%
D 167
 
5.0%
F 167
 
5.0%
H 167
 
5.0%
9 70
 
2.1%
Other values (4) 121
 
3.6%

인허가일자
Date

Distinct160
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum1989-12-26 00:00:00
Maximum2024-04-24 00:00:00
2024-05-11T15:12:14.724303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:12:14.900348image/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
1
85 
3
72 
4
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 85
50.9%
3 72
43.1%
4 10
 
6.0%

Length

2024-05-11T15:12:15.087241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:15.221166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 85
50.9%
3 72
43.1%
4 10
 
6.0%

영업상태명
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
영업/정상
85 
폐업
72 
취소/말소/만료/정지/중지
10 

Length

Max length14
Median length5
Mean length4.245509
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 85
50.9%
폐업 72
43.1%
취소/말소/만료/정지/중지 10
 
6.0%

Length

2024-05-11T15:12:15.371846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:15.520982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 85
50.9%
폐업 72
43.1%
취소/말소/만료/정지/중지 10
 
6.0%

상세영업상태코드
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
13
85 
3
72 
35
10 

Length

Max length2
Median length2
Mean length1.5688623
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 85
50.9%
3 72
43.1%
35 10
 
6.0%

Length

2024-05-11T15:12:15.663215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:15.802580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 85
50.9%
3 72
43.1%
35 10
 
6.0%

상세영업상태명
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
영업중
85 
폐업
72 
직권말소
10 

Length

Max length4
Median length3
Mean length2.6287425
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 85
50.9%
폐업 72
43.1%
직권말소 10
 
6.0%

Length

2024-05-11T15:12:15.980954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:16.122591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 85
50.9%
폐업 72
43.1%
직권말소 10
 
6.0%

폐업일자
Date

MISSING 

Distinct60
Distinct (%)73.2%
Missing85
Missing (%)50.9%
Memory size1.4 KiB
Minimum1998-11-30 00:00:00
Maximum2023-12-26 00:00:00
2024-05-11T15:12:16.256644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:12:16.402196image/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 

Distinct113
Distinct (%)95.8%
Missing49
Missing (%)29.3%
Memory size1.4 KiB
2024-05-11T15:12:16.807932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9
Min length7

Characters and Unicode

Total characters1062
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

Unique109 ?
Unique (%)92.4%

Sample

1st row493-8333
2nd row495-2772
3rd row976-9433
4th row432-8938
5th row432-8937
ValueCountFrequency (%)
433-4429 3
 
2.5%
434-2976 2
 
1.7%
2207-0708 2
 
1.7%
208-6261 2
 
1.7%
435-7800 1
 
0.8%
495-2020 1
 
0.8%
434-0335 1
 
0.8%
493-1881 1
 
0.8%
975-6200 1
 
0.8%
3422-2141 1
 
0.8%
Other values (103) 103
87.3%
2024-05-11T15:12:17.345776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 149
14.0%
4 140
13.2%
2 128
12.1%
3 118
11.1%
0 110
10.4%
9 94
8.9%
8 70
6.6%
6 70
6.6%
7 65
6.1%
1 64
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 913
86.0%
Dash Punctuation 149
 
14.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 140
15.3%
2 128
14.0%
3 118
12.9%
0 110
12.0%
9 94
10.3%
8 70
7.7%
6 70
7.7%
7 65
7.1%
1 64
7.0%
5 54
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 149
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1062
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 149
14.0%
4 140
13.2%
2 128
12.1%
3 118
11.1%
0 110
10.4%
9 94
8.9%
8 70
6.6%
6 70
6.6%
7 65
6.1%
1 64
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1062
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 149
14.0%
4 140
13.2%
2 128
12.1%
3 118
11.1%
0 110
10.4%
9 94
8.9%
8 70
6.6%
6 70
6.6%
7 65
6.1%
1 64
6.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소재지우편번호
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)50.0%
Missing87
Missing (%)52.1%
Infinite0
Infinite (%)0.0%
Mean131830.79
Minimum131141
Maximum131881
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T15:12:17.529790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum131141
5-th percentile131805.9
Q1131819.75
median131846.5
Q3131859.25
95-th percentile131872.2
Maximum131881
Range740
Interquartile range (IQR)39.5

Descriptive statistics

Standard deviation81.485837
Coefficient of variation (CV)0.00061810931
Kurtosis67.028654
Mean131830.79
Median Absolute Deviation (MAD)19.5
Skewness-7.8504038
Sum10546463
Variance6639.9416
MonotonicityNot monotonic
2024-05-11T15:12:17.700879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
131860 5
 
3.0%
131859 5
 
3.0%
131823 4
 
2.4%
131809 4
 
2.4%
131848 4
 
2.4%
131857 3
 
1.8%
131865 3
 
1.8%
131820 3
 
1.8%
131821 3
 
1.8%
131816 3
 
1.8%
Other values (30) 43
25.7%
(Missing) 87
52.1%
ValueCountFrequency (%)
131141 1
 
0.6%
131787 1
 
0.6%
131802 1
 
0.6%
131804 1
 
0.6%
131806 2
1.2%
131808 1
 
0.6%
131809 4
2.4%
131810 2
1.2%
131811 1
 
0.6%
131812 1
 
0.6%
ValueCountFrequency (%)
131881 2
 
1.2%
131876 2
 
1.2%
131872 1
 
0.6%
131869 1
 
0.6%
131868 1
 
0.6%
131867 2
 
1.2%
131865 3
1.8%
131862 2
 
1.2%
131861 1
 
0.6%
131860 5
3.0%

지번주소
Text

Distinct161
Distinct (%)97.0%
Missing1
Missing (%)0.6%
Memory size1.4 KiB
2024-05-11T15:12:18.026156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length23.674699
Min length12

Characters and Unicode

Total characters3930
Distinct characters162
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

Unique156 ?
Unique (%)94.0%

Sample

1st row서울특별시 중랑구 면목동 129-7번지
2nd row서울특별시 중랑구 망우동 458-2번지
3rd row서울특별시 중랑구 묵동 250-2번지
4th row서울특별시 중랑구 묵동 158-20번지
5th row서울특별시 중랑구 면목동 498-5번지
ValueCountFrequency (%)
서울특별시 166
21.9%
중랑구 166
21.9%
면목동 54
 
7.1%
상봉동 35
 
4.6%
묵동 24
 
3.2%
망우동 21
 
2.8%
신내동 20
 
2.6%
중화동 12
 
1.6%
3층 3
 
0.4%
353-47 2
 
0.3%
Other values (242) 254
33.6%
2024-05-11T15:12:18.549306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
700
17.8%
중 179
 
4.6%
동 176
 
4.5%
시 169
 
4.3%
서 167
 
4.2%
별 166
 
4.2%
울 166
 
4.2%
랑 166
 
4.2%
구 166
 
4.2%
특 166
 
4.2%
Other values (152) 1709
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2299
58.5%
Decimal Number 757
 
19.3%
Space Separator 700
 
17.8%
Dash Punctuation 150
 
3.8%
Open Punctuation 6
 
0.2%
Uppercase Letter 6
 
0.2%
Close Punctuation 5
 
0.1%
Other Punctuation 4
 
0.1%
Lowercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 179
 
7.8%
동 176
 
7.7%
시 169
 
7.4%
서 167
 
7.3%
별 166
 
7.2%
울 166
 
7.2%
랑 166
 
7.2%
구 166
 
7.2%
특 166
 
7.2%
지 70
 
3.0%
Other values (130) 708
30.8%
Decimal Number
ValueCountFrequency (%)
1 152
20.1%
2 104
13.7%
0 77
10.2%
4 76
10.0%
5 73
9.6%
3 72
9.5%
6 71
9.4%
8 52
 
6.9%
7 42
 
5.5%
9 38
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
M 3
50.0%
S 2
33.3%
G 1
 
16.7%
Lowercase Letter
ValueCountFrequency (%)
o 1
33.3%
e 1
33.3%
n 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
& 1
 
25.0%
Space Separator
ValueCountFrequency (%)
700
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 150
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2299
58.5%
Common 1622
41.3%
Latin 9
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 179
 
7.8%
동 176
 
7.7%
시 169
 
7.4%
서 167
 
7.3%
별 166
 
7.2%
울 166
 
7.2%
랑 166
 
7.2%
구 166
 
7.2%
특 166
 
7.2%
지 70
 
3.0%
Other values (130) 708
30.8%
Common
ValueCountFrequency (%)
700
43.2%
1 152
 
9.4%
- 150
 
9.2%
2 104
 
6.4%
0 77
 
4.7%
4 76
 
4.7%
5 73
 
4.5%
3 72
 
4.4%
6 71
 
4.4%
8 52
 
3.2%
Other values (6) 95
 
5.9%
Latin
ValueCountFrequency (%)
M 3
33.3%
S 2
22.2%
o 1
 
11.1%
e 1
 
11.1%
n 1
 
11.1%
G 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2299
58.5%
ASCII 1631
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
700
42.9%
1 152
 
9.3%
- 150
 
9.2%
2 104
 
6.4%
0 77
 
4.7%
4 76
 
4.7%
5 73
 
4.5%
3 72
 
4.4%
6 71
 
4.4%
8 52
 
3.2%
Other values (12) 104
 
6.4%
Hangul
ValueCountFrequency (%)
중 179
 
7.8%
동 176
 
7.7%
시 169
 
7.4%
서 167
 
7.3%
별 166
 
7.2%
울 166
 
7.2%
랑 166
 
7.2%
구 166
 
7.2%
특 166
 
7.2%
지 70
 
3.0%
Other values (130) 708
30.8%

도로명주소
Text

Distinct160
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-11T15:12:18.907062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length50
Mean length29.718563
Min length20

Characters and Unicode

Total characters4963
Distinct characters176
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

Unique154 ?
Unique (%)92.2%

Sample

1st row서울특별시 중랑구 면목로79길 8-40 (면목동)
2nd row서울특별시 중랑구 용마산로 495 (망우동)
3rd row서울특별시 중랑구 동일로 851 (묵동)
4th row서울특별시 중랑구 공릉로12길 3 (묵동)
5th row서울특별시 중랑구 면목로 353 (면목동)
ValueCountFrequency (%)
서울특별시 167
 
16.5%
중랑구 167
 
16.5%
면목동 54
 
5.3%
상봉동 35
 
3.4%
묵동 23
 
2.3%
망우동 21
 
2.1%
신내동 20
 
2.0%
망우로 20
 
2.0%
면목로 19
 
1.9%
용마산로 19
 
1.9%
Other values (279) 470
46.3%
2024-05-11T15:12:19.397783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
851
 
17.1%
동 206
 
4.2%
중 193
 
3.9%
랑 176
 
3.5%
시 170
 
3.4%
서 168
 
3.4%
( 168
 
3.4%
) 168
 
3.4%
구 167
 
3.4%
별 167
 
3.4%
Other values (166) 2529
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2911
58.7%
Space Separator 851
 
17.1%
Decimal Number 709
 
14.3%
Open Punctuation 168
 
3.4%
Close Punctuation 168
 
3.4%
Other Punctuation 125
 
2.5%
Dash Punctuation 14
 
0.3%
Uppercase Letter 11
 
0.2%
Math Symbol 3
 
0.1%
Lowercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 206
 
7.1%
중 193
 
6.6%
랑 176
 
6.0%
시 170
 
5.8%
서 168
 
5.8%
구 167
 
5.7%
별 167
 
5.7%
특 167
 
5.7%
울 167
 
5.7%
로 166
 
5.7%
Other values (140) 1164
40.0%
Decimal Number
ValueCountFrequency (%)
1 125
17.6%
2 122
17.2%
3 94
13.3%
4 71
10.0%
0 58
8.2%
5 51
7.2%
6 51
7.2%
9 50
 
7.1%
8 47
 
6.6%
7 40
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
B 3
27.3%
A 3
27.3%
M 2
18.2%
G 1
 
9.1%
S 1
 
9.1%
C 1
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
o 1
33.3%
n 1
33.3%
e 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 124
99.2%
& 1
 
0.8%
Space Separator
ValueCountFrequency (%)
851
100.0%
Open Punctuation
ValueCountFrequency (%)
( 168
100.0%
Close Punctuation
ValueCountFrequency (%)
) 168
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2911
58.7%
Common 2038
41.1%
Latin 14
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 206
 
7.1%
중 193
 
6.6%
랑 176
 
6.0%
시 170
 
5.8%
서 168
 
5.8%
구 167
 
5.7%
별 167
 
5.7%
특 167
 
5.7%
울 167
 
5.7%
로 166
 
5.7%
Other values (140) 1164
40.0%
Common
ValueCountFrequency (%)
851
41.8%
( 168
 
8.2%
) 168
 
8.2%
1 125
 
6.1%
, 124
 
6.1%
2 122
 
6.0%
3 94
 
4.6%
4 71
 
3.5%
0 58
 
2.8%
5 51
 
2.5%
Other values (7) 206
 
10.1%
Latin
ValueCountFrequency (%)
B 3
21.4%
A 3
21.4%
M 2
14.3%
o 1
 
7.1%
n 1
 
7.1%
e 1
 
7.1%
G 1
 
7.1%
S 1
 
7.1%
C 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2911
58.7%
ASCII 2052
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
851
41.5%
( 168
 
8.2%
) 168
 
8.2%
1 125
 
6.1%
, 124
 
6.0%
2 122
 
5.9%
3 94
 
4.6%
4 71
 
3.5%
0 58
 
2.8%
5 51
 
2.5%
Other values (16) 220
 
10.7%
Hangul
ValueCountFrequency (%)
동 206
 
7.1%
중 193
 
6.6%
랑 176
 
6.0%
시 170
 
5.8%
서 168
 
5.8%
구 167
 
5.7%
별 167
 
5.7%
특 167
 
5.7%
울 167
 
5.7%
로 166
 
5.7%
Other values (140) 1164
40.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct115
Distinct (%)70.1%
Missing3
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean40884.518
Minimum2002
Maximum131881
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T15:12:19.571733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2002
5-th percentile2026.15
Q12096.5
median2191
Q3131809.25
95-th percentile131864.55
Maximum131881
Range129879
Interquartile range (IQR)129712.75

Descriptive statistics

Standard deviation59546.835
Coefficient of variation (CV)1.4564641
Kurtosis-1.2277162
Mean40884.518
Median Absolute Deviation (MAD)121.5
Skewness0.88735423
Sum6705061
Variance3.5458256 × 109
MonotonicityNot monotonic
2024-05-11T15:12:19.750223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2224 4
 
2.4%
2067 4
 
2.4%
131860 4
 
2.4%
131859 4
 
2.4%
2057 3
 
1.8%
131809 3
 
1.8%
131876 3
 
1.8%
2149 3
 
1.8%
2239 2
 
1.2%
2033 2
 
1.2%
Other values (105) 132
79.0%
(Missing) 3
 
1.8%
ValueCountFrequency (%)
2002 1
0.6%
2003 1
0.6%
2005 1
0.6%
2009 1
0.6%
2013 1
0.6%
2014 1
0.6%
2021 1
0.6%
2024 1
0.6%
2026 1
0.6%
2027 1
0.6%
ValueCountFrequency (%)
131881 2
1.2%
131876 3
1.8%
131872 1
 
0.6%
131867 1
 
0.6%
131865 2
1.2%
131862 1
 
0.6%
131861 1
 
0.6%
131860 4
2.4%
131859 4
2.4%
131857 2
1.2%

사업장명
Text

Distinct160
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-11T15:12:20.103256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length7.245509
Min length2

Characters and Unicode

Total characters1210
Distinct characters243
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique153 ?
Unique (%)91.6%

Sample

1st row동산체육관
2nd row부광헬스
3rd row삼승헬스컬럽
4th row화랑남성헬스
5th row삼우여성헬스크럽
ValueCountFrequency (%)
휘트니스 13
 
5.1%
pt 6
 
2.3%
크로스핏 5
 
1.9%
gym 5
 
1.9%
피트니스 5
 
1.9%
헬스 3
 
1.2%
운동창고 3
 
1.2%
면목점 3
 
1.2%
에이블짐 3
 
1.2%
카인드짐 3
 
1.2%
Other values (190) 208
80.9%
2024-05-11T15:12:20.708275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 131
 
10.8%
90
 
7.4%
헬 56
 
4.6%
트 37
 
3.1%
럽 36
 
3.0%
짐 35
 
2.9%
니 34
 
2.8%
클 30
 
2.5%
휘 24
 
2.0%
T 18
 
1.5%
Other values (233) 719
59.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 995
82.2%
Space Separator 90
 
7.4%
Uppercase Letter 88
 
7.3%
Decimal Number 12
 
1.0%
Close Punctuation 7
 
0.6%
Open Punctuation 6
 
0.5%
Other Punctuation 6
 
0.5%
Lowercase Letter 4
 
0.3%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 131
 
13.2%
헬 56
 
5.6%
트 37
 
3.7%
럽 36
 
3.6%
짐 35
 
3.5%
니 34
 
3.4%
클 30
 
3.0%
휘 24
 
2.4%
디 17
 
1.7%
바 16
 
1.6%
Other values (198) 579
58.2%
Uppercase Letter
ValueCountFrequency (%)
T 18
20.5%
P 14
15.9%
Y 8
9.1%
M 7
 
8.0%
G 7
 
8.0%
O 5
 
5.7%
B 5
 
5.7%
E 5
 
5.7%
F 3
 
3.4%
I 3
 
3.4%
Other values (9) 13
14.8%
Decimal Number
ValueCountFrequency (%)
2 4
33.3%
3 3
25.0%
4 2
16.7%
0 1
 
8.3%
7 1
 
8.3%
5 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
r 1
25.0%
h 1
25.0%
u 1
25.0%
o 1
25.0%
Other Punctuation
ValueCountFrequency (%)
& 3
50.0%
. 3
50.0%
Space Separator
ValueCountFrequency (%)
90
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 994
82.1%
Common 123
 
10.2%
Latin 92
 
7.6%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 131
 
13.2%
헬 56
 
5.6%
트 37
 
3.7%
럽 36
 
3.6%
짐 35
 
3.5%
니 34
 
3.4%
클 30
 
3.0%
휘 24
 
2.4%
디 17
 
1.7%
바 16
 
1.6%
Other values (197) 578
58.1%
Latin
ValueCountFrequency (%)
T 18
19.6%
P 14
15.2%
Y 8
8.7%
M 7
 
7.6%
G 7
 
7.6%
O 5
 
5.4%
B 5
 
5.4%
E 5
 
5.4%
F 3
 
3.3%
I 3
 
3.3%
Other values (13) 17
18.5%
Common
ValueCountFrequency (%)
90
73.2%
) 7
 
5.7%
( 6
 
4.9%
2 4
 
3.3%
& 3
 
2.4%
. 3
 
2.4%
3 3
 
2.4%
- 2
 
1.6%
4 2
 
1.6%
0 1
 
0.8%
Other values (2) 2
 
1.6%
Han
ValueCountFrequency (%)
李 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 994
82.1%
ASCII 215
 
17.8%
CJK Compat Ideographs 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 131
 
13.2%
헬 56
 
5.6%
트 37
 
3.7%
럽 36
 
3.6%
짐 35
 
3.5%
니 34
 
3.4%
클 30
 
3.0%
휘 24
 
2.4%
디 17
 
1.7%
바 16
 
1.6%
Other values (197) 578
58.1%
ASCII
ValueCountFrequency (%)
90
41.9%
T 18
 
8.4%
P 14
 
6.5%
Y 8
 
3.7%
M 7
 
3.3%
G 7
 
3.3%
) 7
 
3.3%
( 6
 
2.8%
O 5
 
2.3%
B 5
 
2.3%
Other values (25) 48
22.3%
CJK Compat Ideographs
ValueCountFrequency (%)
李 1
100.0%

최종수정일자
Date

Distinct165
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2003-04-18 17:00:57
Maximum2024-04-24 16:05:02
2024-05-11T15:12:20.880101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:12:21.063602image/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
85 
U
82 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 85
50.9%
U 82
49.1%

Length

2024-05-11T15:12:21.517489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:21.625954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 85
50.9%
u 82
49.1%

데이터갱신일자
Date

Distinct58
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:07:00
2024-05-11T15:12:21.746990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:12:21.931666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

좌표정보(X)
Real number (ℝ)

Distinct148
Distinct (%)89.2%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean207640.12
Minimum206371.94
Maximum209931.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T15:12:22.131011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206371.94
5-th percentile206654.33
Q1206970.01
median207549.66
Q3208263.15
95-th percentile208778.46
Maximum209931.17
Range3559.2338
Interquartile range (IQR)1293.143

Descriptive statistics

Standard deviation739.9975
Coefficient of variation (CV)0.0035638464
Kurtosis-0.57012584
Mean207640.12
Median Absolute Deviation (MAD)655.07051
Skewness0.36456437
Sum34468260
Variance547596.29
MonotonicityNot monotonic
2024-05-11T15:12:22.339099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
207719.910252035 3
 
1.8%
208295.099818379 3
 
1.8%
207528.691389558 2
 
1.2%
208500.41409861 2
 
1.2%
206371.939083965 2
 
1.2%
207497.732897437 2
 
1.2%
208481.612667873 2
 
1.2%
207357.595177869 2
 
1.2%
206857.195726672 2
 
1.2%
207189.679743111 2
 
1.2%
Other values (138) 144
86.2%
ValueCountFrequency (%)
206371.939083965 2
1.2%
206419.071508713 1
0.6%
206419.157895196 1
0.6%
206474.047423329 1
0.6%
206492.087474895 1
0.6%
206526.002200022 1
0.6%
206631.89025988 1
0.6%
206643.792238808 1
0.6%
206685.947659288 1
0.6%
206687.070379626 1
0.6%
ValueCountFrequency (%)
209931.172836 1
0.6%
209517.454768149 1
0.6%
209144.172317054 1
0.6%
209083.646196172 1
0.6%
209006.848797065 1
0.6%
208947.072330515 2
1.2%
208827.028317555 1
0.6%
208781.999418607 1
0.6%
208767.830005716 1
0.6%
208766.859234346 1
0.6%

좌표정보(Y)
Real number (ℝ)

Distinct148
Distinct (%)89.2%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean454949.81
Minimum452255.51
Maximum457462.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T15:12:22.564765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452255.51
5-th percentile452984
Q1454139.31
median454848.42
Q3455908.19
95-th percentile457002
Maximum457462.77
Range5207.2614
Interquartile range (IQR)1768.878

Descriptive statistics

Standard deviation1233.192
Coefficient of variation (CV)0.0027106111
Kurtosis-0.72774615
Mean454949.81
Median Absolute Deviation (MAD)865.93549
Skewness0.087409279
Sum75521669
Variance1520762.5
MonotonicityNot monotonic
2024-05-11T15:12:22.751626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
453466.416715663 3
 
1.8%
456014.999180519 3
 
1.8%
454816.042135953 2
 
1.2%
456116.213868842 2
 
1.2%
454252.247959525 2
 
1.2%
452801.624163005 2
 
1.2%
455496.980508789 2
 
1.2%
457462.766652935 2
 
1.2%
454139.312316693 2
 
1.2%
454752.131153029 2
 
1.2%
Other values (138) 144
86.2%
ValueCountFrequency (%)
452255.50528181 1
0.6%
452686.03469285 1
0.6%
452801.624163005 2
1.2%
452884.498928683 1
0.6%
452884.675867015 1
0.6%
452946.36418108 1
0.6%
452959.868506619 1
0.6%
452980.036913527 1
0.6%
452995.899175841 1
0.6%
453031.11581883 1
0.6%
ValueCountFrequency (%)
457462.766652935 2
1.2%
457446.479605 1
0.6%
457295.548272915 1
0.6%
457288.817618457 1
0.6%
457183.637796144 1
0.6%
457150.626367535 1
0.6%
457021.162035231 1
0.6%
457011.632629502 1
0.6%
456973.112002214 1
0.6%
456949.35802282 1
0.6%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
체력단련장업
113 
<NA>
54 

Length

Max length6
Median length6
Mean length5.3532934
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체력단련장업 113
67.7%
<NA> 54
32.3%

Length

2024-05-11T15:12:22.909445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:23.030271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체력단련장업 113
67.7%
na 54
32.3%

공사립구분명
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
사립
113 
<NA>
54 

Length

Max length4
Median length2
Mean length2.6467066
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 113
67.7%
<NA> 54
32.3%

Length

2024-05-11T15:12:23.149933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:23.319946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 113
67.7%
na 54
32.3%

보험가입여부코드
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing166
Missing (%)99.4%
Memory size466.0 B
True
 
1
(Missing)
166 
ValueCountFrequency (%)
True 1
 
0.6%
(Missing) 166
99.4%
2024-05-11T15:12:23.426925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

지도자수
Categorical

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
118 
0
27 
1
17 
2
 
5

Length

Max length4
Median length4
Mean length3.1197605
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 118
70.7%
0 27
 
16.2%
1 17
 
10.2%
2 5
 
3.0%

Length

2024-05-11T15:12:23.554520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:23.693616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 118
70.7%
0 27
 
16.2%
1 17
 
10.2%
2 5
 
3.0%

건축물동수
Categorical

Distinct5
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
109 
1
40 
0
16 
4
 
1
2
 
1

Length

Max length4
Median length4
Mean length2.9580838
Min length1

Unique

Unique2 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 109
65.3%
1 40
 
24.0%
0 16
 
9.6%
4 1
 
0.6%
2 1
 
0.6%

Length

2024-05-11T15:12:23.847261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:23.958369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 109
65.3%
1 40
 
24.0%
0 16
 
9.6%
4 1
 
0.6%
2 1
 
0.6%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct52
Distinct (%)78.8%
Missing101
Missing (%)60.5%
Infinite0
Infinite (%)0.0%
Mean2917.5052
Minimum0
Maximum31128.63
Zeros15
Zeros (%)9.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T15:12:24.088051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1180.975
median872.645
Q33322.585
95-th percentile11549.208
Maximum31128.63
Range31128.63
Interquartile range (IQR)3141.61

Descriptive statistics

Standard deviation5309.634
Coefficient of variation (CV)1.8199228
Kurtosis15.057757
Mean2917.5052
Median Absolute Deviation (MAD)872.645
Skewness3.6015159
Sum192555.34
Variance28192214
MonotonicityNot monotonic
2024-05-11T15:12:24.219637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 15
 
9.0%
3765.72 1
 
0.6%
2044.26 1
 
0.6%
12346.19 1
 
0.6%
2493.85 1
 
0.6%
1481.62 1
 
0.6%
2676.6 1
 
0.6%
1908.34 1
 
0.6%
660.16 1
 
0.6%
2993.65 1
 
0.6%
Other values (42) 42
25.1%
(Missing) 101
60.5%
ValueCountFrequency (%)
0.0 15
9.0%
165.0 1
 
0.6%
180.2 1
 
0.6%
183.3 1
 
0.6%
193.34 1
 
0.6%
231.92 1
 
0.6%
261.5 1
 
0.6%
380.09 1
 
0.6%
380.41 1
 
0.6%
412.42 1
 
0.6%
ValueCountFrequency (%)
31128.63 1
0.6%
23824.61 1
0.6%
14927.72 1
0.6%
12346.19 1
0.6%
9158.26 1
0.6%
7413.84 1
0.6%
6634.86 1
0.6%
6164.0 1
0.6%
6138.35 1
0.6%
5562.16 1
0.6%

회원모집총인원
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
124 
0
43 

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 row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 124
74.3%
0 43
 
25.7%

Length

2024-05-11T15:12:24.365057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:24.479730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 124
74.3%
0 43
 
25.7%

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
03060000CDFH330106198900000119891226<NA>3폐업3폐업20020201<NA><NA><NA>493-8333<NA>131816서울특별시 중랑구 면목동 129-7번지서울특별시 중랑구 면목로79길 8-40 (면목동)131816동산체육관2011-11-18 11:01:46I2018-08-31 23:59:59.0<NA>207586.785144454297.256018체력단련장업사립<NA><NA>00.0<NA><NA><NA>
13060000CDFH330106198900000219891229<NA>3폐업3폐업20200103<NA><NA><NA>495-2772<NA>131808서울특별시 중랑구 망우동 458-2번지서울특별시 중랑구 용마산로 495 (망우동)2173부광헬스2020-01-03 10:33:12U2020-01-05 02:40:00.0<NA>208728.332053454767.618202체력단련장업사립<NA><NA><NA><NA><NA><NA><NA>
23060000CDFH330106199200000119920903<NA>3폐업3폐업19990125<NA><NA><NA><NA><NA>131853서울특별시 중랑구 묵동 250-2번지서울특별시 중랑구 동일로 851 (묵동)<NA>삼승헬스컬럽2003-04-18 17:00:57I2018-08-31 23:59:59.0<NA>206838.555392456013.563726체력단련장업사립<NA>000.0<NA><NA><NA>
33060000CDFH330106199300000119930215<NA>3폐업3폐업20020521<NA><NA><NA>976-9433<NA>131847서울특별시 중랑구 묵동 158-20번지서울특별시 중랑구 공릉로12길 3 (묵동)131847화랑남성헬스2011-11-18 10:54:35I2018-08-31 23:59:59.0<NA>206969.674869457150.626368체력단련장업사립<NA><NA>00.0<NA><NA><NA>
43060000CDFH330106199400000119940421<NA>3폐업3폐업20030228<NA><NA><NA>432-8938<NA>131831서울특별시 중랑구 면목동 498-5번지서울특별시 중랑구 면목로 353 (면목동)131831삼우여성헬스크럽2011-11-18 10:53:38I2018-08-31 23:59:59.0<NA>207719.910252453466.416716체력단련장업사립<NA><NA><NA><NA><NA><NA><NA>
53060000CDFH330106199400000219940421<NA>3폐업3폐업20180426<NA><NA><NA>432-8937<NA>131831서울특별시 중랑구 면목동 498-5번지서울특별시 중랑구 면목로 353 (면목동)131831닥터바디짐2018-04-26 13:26:00I2018-08-31 23:59:59.0<NA>207719.910252453466.416716체력단련장업사립<NA><NA><NA><NA><NA><NA><NA>
63060000CDFH330106199400000319940929<NA>3폐업3폐업20060607<NA><NA><NA>434-2976<NA>131859서울특별시 중랑구 상봉동 85-65번지서울특별시 중랑구 봉우재로 167 (상봉동)131859면목헬스2011-11-18 10:51:35I2018-08-31 23:59:59.0<NA>208016.451193454637.926748체력단련장업사립<NA><NA><NA><NA><NA><NA><NA>
73060000CDFH330106199400000419941004<NA>3폐업3폐업20000929<NA><NA><NA>976-3150<NA>131852서울특별시 중랑구 묵동 239-1번지서울특별시 중랑구 동일로 911 (묵동)<NA>대한헬스2003-04-18 17:00:57I2018-08-31 23:59:59.0<NA>206747.044329456606.392649체력단련장업사립<NA>000.0<NA><NA><NA>
83060000CDFH330106199400000519941019<NA>3폐업3폐업20150803<NA><NA><NA>208-0101<NA>131814서울특별시 중랑구 면목동 62-4번지 62-4,5호(1층-4층)서울특별시 중랑구 용마산로 361 (면목동)2208영 스포츠클럽2015-08-03 17:18:37I2018-08-31 23:59:59.0<NA>208206.005782453567.143887체력단련장업사립<NA><NA><NA><NA><NA><NA><NA>
93060000CDFH330106199400000619941031<NA>3폐업3폐업19981130<NA><NA><NA>208-1559<NA>131859서울특별시 중랑구 상봉동 107-60번지서울특별시 중랑구 봉우재로33길 21 (상봉동)131859럭키헬스크럽2011-11-18 10:47:03I2018-08-31 23:59:59.0<NA>207624.655862454614.798859체력단련장업사립<NA><NA>00.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
1573060000CDFH33010620230000062023-06-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 상봉동 118-16서울특별시 중랑구 망우로 256, 타임스카이 지하1층 (상봉동)2136크로스핏 라온32023-06-14 11:36:07I2022-12-05 23:06:00.0<NA>207088.508452454739.36077<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1583060000CDFH33010620230000072023-06-20<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3423-3434<NA><NA>서울특별시 중랑구 신내동 565-1서울특별시 중랑구 신내로14길 10, 진유빌딩 2층 (신내동)2069머시써짐2023-06-20 13:27:56I2022-12-05 22:02:00.0<NA>208416.034549455911.383454<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1593060000CDFH33010620230000082023-08-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 605-32서울특별시 중랑구 사가정로 371-1, 송학드림타워 제1동동 지하1층 (면목동)2228크로스핏 레오2023-09-07 17:37:30U2022-12-09 00:09:00.0<NA>207525.405415453207.524885<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1603060000CDFH33010620230000092023-12-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 묵동 174-10 묵동해오름아파트 상가동 102호서울특별시 중랑구 공릉로4길 4, 상가동 102호 (묵동, 묵동해오름아파트)2034바디밸런스3.0 PT.필라테스2023-12-12 15:28:50I2022-11-01 23:04:00.0<NA>206826.247746456754.652815<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1613060000CDFH33010620230000102023-12-21<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6941-0716<NA><NA>서울특별시 중랑구 묵동 176-39 칼튼테라스서울특별시 중랑구 공릉로2길 8-4, 지하1층 (묵동, 칼튼테라스)2037에이블짐 먹골역점2023-12-21 17:48:00I2022-11-01 22:03:00.0<NA>206859.335695456604.826307<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1623060000CDFH33010620240000012024-01-26<NA>1영업/정상13영업중<NA><NA><NA><NA>02-434-8878<NA><NA>서울특별시 중랑구 망우동 584 신내역 프라디움 더 테라스서울특별시 중랑구 용마산로 670, A동 2층 209~216호 (망우동, 신내역 프라디움 더 테라스)2057파이어짐 신내역점2024-01-26 10:44:28I2023-11-30 22:08:00.0<NA>208947.072331456501.73508<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1633060000CDFH33010620240000022024-03-12<NA>1영업/정상13영업중<NA><NA><NA><NA>02-967-3003<NA><NA>서울특별시 중랑구 상봉동 91-4 상봉역 유보라 퍼스트리브&포스퀘어서울특별시 중랑구 망우로 322, 307~316호 (상봉동, 상봉역 유보라 퍼스트리브&포스퀘어)2149온타임 피트니스2024-03-12 15:04:45I2023-12-02 23:04:00.0<NA>207734.217753454934.006785<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1643060000CDFH33010620240000032024-04-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 망우동 584 신내역 프라디움 더 테라스서울특별시 중랑구 용마산로 670, A동 114호 (망우동, 신내역 프라디움 더 테라스)2057움직임의정석 PT전문센터2024-04-22 18:01:02U2023-12-03 22:04:00.0<NA>208947.072331456501.73508<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1653060000CDFH33010620240000042024-04-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 상봉동 90-3 봄작시티 24서울특별시 중랑구 망우로50길 24, 2층 201~206,209,210호 (상봉동, 봄작시티 24)2149슈퍼짐프리미엄휘트니스2024-04-15 10:18:30I2023-12-03 23:07:00.0<NA>207778.811774454861.510993<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1663060000CDFH33010620240000052024-04-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 신내동 479 중앙하이츠아파트서울특별시 중랑구 봉화산로56길 123, 지층 (신내동, 중앙하이츠아파트)2070아인스 코리아 헬스클럽2024-04-24 16:05:02I2023-12-03 22:06:00.0<NA>208592.042518455689.562775<NA><NA><NA><NA><NA><NA><NA><NA><NA>