Overview

Dataset statistics

Number of variables34
Number of observations6153
Missing cells80641
Missing cells (%)38.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 MiB
Average record size in memory286.0 B

Variable types

Numeric8
Text7
DateTime7
Categorical7
Unsupported5

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
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16142/S/1/datasetView.do

Alerts

상세영업상태명 is highly imbalanced (57.5%)Imbalance
보험가입여부코드 is highly imbalanced (67.2%)Imbalance
인허가취소일자 has 6148 (99.9%) missing valuesMissing
폐업일자 has 3859 (62.7%) missing valuesMissing
휴업시작일자 has 6146 (99.9%) missing valuesMissing
휴업종료일자 has 6146 (99.9%) missing valuesMissing
재개업일자 has 6153 (100.0%) missing valuesMissing
전화번호 has 2789 (45.3%) missing valuesMissing
소재지면적 has 6153 (100.0%) missing valuesMissing
소재지우편번호 has 3577 (58.1%) missing valuesMissing
지번주소 has 72 (1.2%) missing valuesMissing
도로명주소 has 225 (3.7%) missing valuesMissing
도로명우편번호 has 1648 (26.8%) missing valuesMissing
업태구분명 has 6153 (100.0%) missing valuesMissing
좌표정보(X) has 125 (2.0%) missing valuesMissing
좌표정보(Y) has 125 (2.0%) missing valuesMissing
지도자수 has 4021 (65.4%) missing valuesMissing
건축물동수 has 4975 (80.9%) missing valuesMissing
건축물연면적 has 4315 (70.1%) missing valuesMissing
회원모집총인원 has 5705 (92.7%) missing valuesMissing
세부업종명 has 6153 (100.0%) missing valuesMissing
법인명 has 6153 (100.0%) missing valuesMissing
건축물동수 is highly skewed (γ1 = 32.80054963)Skewed
건축물연면적 is highly skewed (γ1 = 24.22463595)Skewed
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
지도자수 has 569 (9.2%) zerosZeros
건축물동수 has 851 (13.8%) zerosZeros
건축물연면적 has 731 (11.9%) zerosZeros
회원모집총인원 has 417 (6.8%) zerosZeros

Reproduction

Analysis started2024-05-11 05:57:38.584711
Analysis finished2024-05-11 05:57:43.144712
Duration4.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct25
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3145836.2
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size54.2 KiB
2024-05-11T05:57:43.361296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3016000
Q13090000
median3150000
Q33220000
95-th percentile3230000
Maximum3240000
Range240000
Interquartile range (IQR)130000

Descriptive statistics

Standard deviation73109.821
Coefficient of variation (CV)0.023240187
Kurtosis-1.1002073
Mean3145836.2
Median Absolute Deviation (MAD)70000
Skewness-0.44389061
Sum1.935633 × 1010
Variance5.345046 × 109
MonotonicityNot monotonic
2024-05-11T05:57:43.837663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3220000 810
 
13.2%
3230000 511
 
8.3%
3210000 400
 
6.5%
3150000 361
 
5.9%
3240000 288
 
4.7%
3180000 281
 
4.6%
3130000 267
 
4.3%
3200000 264
 
4.3%
3140000 240
 
3.9%
3040000 226
 
3.7%
Other values (15) 2505
40.7%
ValueCountFrequency (%)
3000000 140
2.3%
3010000 168
2.7%
3020000 133
2.2%
3030000 168
2.7%
3040000 226
3.7%
3050000 220
3.6%
3060000 167
2.7%
3070000 180
2.9%
3080000 130
2.1%
3090000 119
1.9%
ValueCountFrequency (%)
3240000 288
 
4.7%
3230000 511
8.3%
3220000 810
13.2%
3210000 400
6.5%
3200000 264
 
4.3%
3190000 161
 
2.6%
3180000 281
 
4.6%
3170000 138
 
2.2%
3160000 193
 
3.1%
3150000 361
5.9%
Distinct901
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Memory size48.2 KiB
2024-05-11T05:57:44.536417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters123060
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

Unique314 ?
Unique (%)5.1%

Sample

1st rowCDFH3301062023000004
2nd rowCDFH3301062021000014
3rd rowCDFH3301062023000009
4th rowCDFH3301062020000008
5th rowCDFH3301062023000005
ValueCountFrequency (%)
cdfh3301062023000004 25
 
0.4%
cdfh3301062017000001 25
 
0.4%
cdfh3301062019000003 25
 
0.4%
cdfh3301062019000001 25
 
0.4%
cdfh3301062022000003 25
 
0.4%
cdfh3301062021000002 25
 
0.4%
cdfh3301062020000001 25
 
0.4%
cdfh3301062016000001 25
 
0.4%
cdfh3301062018000002 25
 
0.4%
cdfh3301062021000001 25
 
0.4%
Other values (891) 5903
95.9%
2024-05-11T05:57:45.714103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 49078
39.9%
3 14221
 
11.6%
1 11812
 
9.6%
2 9489
 
7.7%
6 7111
 
5.8%
C 6153
 
5.0%
D 6153
 
5.0%
F 6153
 
5.0%
H 6153
 
5.0%
9 2433
 
2.0%
Other values (4) 4304
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 98448
80.0%
Uppercase Letter 24612
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 49078
49.9%
3 14221
 
14.4%
1 11812
 
12.0%
2 9489
 
9.6%
6 7111
 
7.2%
9 2433
 
2.5%
4 1417
 
1.4%
5 1121
 
1.1%
7 891
 
0.9%
8 875
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
C 6153
25.0%
D 6153
25.0%
F 6153
25.0%
H 6153
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 98448
80.0%
Latin 24612
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 49078
49.9%
3 14221
 
14.4%
1 11812
 
12.0%
2 9489
 
9.6%
6 7111
 
7.2%
9 2433
 
2.5%
4 1417
 
1.4%
5 1121
 
1.1%
7 891
 
0.9%
8 875
 
0.9%
Latin
ValueCountFrequency (%)
C 6153
25.0%
D 6153
25.0%
F 6153
25.0%
H 6153
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 123060
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 49078
39.9%
3 14221
 
11.6%
1 11812
 
9.6%
2 9489
 
7.7%
6 7111
 
5.8%
C 6153
 
5.0%
D 6153
 
5.0%
F 6153
 
5.0%
H 6153
 
5.0%
9 2433
 
2.0%
Other values (4) 4304
 
3.5%
Distinct3924
Distinct (%)63.8%
Missing0
Missing (%)0.0%
Memory size48.2 KiB
Minimum1989-10-23 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T05:57:46.195744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:57:46.713675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct4
Distinct (%)80.0%
Missing6148
Missing (%)99.9%
Memory size48.2 KiB
Minimum2015-07-07 00:00:00
Maximum2023-12-14 00:00:00
2024-05-11T05:57:47.213631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:57:47.713027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size48.2 KiB
1
3836 
3
2004 
4
 
301
2
 
7
5
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 3836
62.3%
3 2004
32.6%
4 301
 
4.9%
2 7
 
0.1%
5 5
 
0.1%

Length

2024-05-11T05:57:48.194220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:57:48.583199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3836
62.3%
3 2004
32.6%
4 301
 
4.9%
2 7
 
0.1%
5 5
 
0.1%

영업상태명
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size48.2 KiB
영업/정상
3836 
폐업
2004 
취소/말소/만료/정지/중지
 
301
휴업
 
7
제외/삭제/전출
 
5

Length

Max length14
Median length5
Mean length4.4622136
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 3836
62.3%
폐업 2004
32.6%
취소/말소/만료/정지/중지 301
 
4.9%
휴업 7
 
0.1%
제외/삭제/전출 5
 
0.1%

Length

2024-05-11T05:57:48.952667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:57:49.316016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 3836
62.3%
폐업 2004
32.6%
취소/말소/만료/정지/중지 301
 
4.9%
휴업 7
 
0.1%
제외/삭제/전출 5
 
0.1%

상세영업상태코드
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.805136
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size54.2 KiB
2024-05-11T05:57:49.641554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median13
Q313
95-th percentile13
Maximum35
Range33
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.1726271
Coefficient of variation (CV)0.66381648
Kurtosis3.7488122
Mean10.805136
Median Absolute Deviation (MAD)0
Skewness1.4612579
Sum66484
Variance51.44658
MonotonicityNot monotonic
2024-05-11T05:57:49.961347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
13 3836
62.3%
3 2004
32.6%
35 295
 
4.8%
2 7
 
0.1%
32 5
 
0.1%
15 5
 
0.1%
30 1
 
< 0.1%
ValueCountFrequency (%)
2 7
 
0.1%
3 2004
32.6%
13 3836
62.3%
15 5
 
0.1%
30 1
 
< 0.1%
32 5
 
0.1%
35 295
 
4.8%
ValueCountFrequency (%)
35 295
 
4.8%
32 5
 
0.1%
30 1
 
< 0.1%
15 5
 
0.1%
13 3836
62.3%
3 2004
32.6%
2 7
 
0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size48.2 KiB
영업중
3836 
폐업
2004 
직권말소
 
295
휴업
 
7
신고취소
 
5
Other values (2)
 
6

Length

Max length4
Median length3
Mean length2.7212742
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 3836
62.3%
폐업 2004
32.6%
직권말소 295
 
4.8%
휴업 7
 
0.1%
신고취소 5
 
0.1%
전출 5
 
0.1%
허가취소 1
 
< 0.1%

Length

2024-05-11T05:57:50.755210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:57:51.144144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 3836
62.3%
폐업 2004
32.6%
직권말소 295
 
4.8%
휴업 7
 
0.1%
신고취소 5
 
0.1%
전출 5
 
0.1%
허가취소 1
 
< 0.1%

폐업일자
Date

MISSING 

Distinct1578
Distinct (%)68.8%
Missing3859
Missing (%)62.7%
Memory size48.2 KiB
Minimum1995-04-01 00:00:00
Maximum2024-05-03 00:00:00
2024-05-11T05:57:51.728761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:57:52.295088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct7
Distinct (%)100.0%
Missing6146
Missing (%)99.9%
Memory size48.2 KiB
Minimum2013-05-08 00:00:00
Maximum2023-05-24 00:00:00
2024-05-11T05:57:52.721827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:57:53.097739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

휴업종료일자
Date

MISSING 

Distinct7
Distinct (%)100.0%
Missing6146
Missing (%)99.9%
Memory size48.2 KiB
Minimum2013-09-01 00:00:00
Maximum2024-12-31 00:00:00
2024-05-11T05:57:53.556662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:57:54.047569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6153
Missing (%)100.0%
Memory size54.2 KiB

전화번호
Text

MISSING 

Distinct3257
Distinct (%)96.8%
Missing2789
Missing (%)45.3%
Memory size48.2 KiB
2024-05-11T05:57:55.111540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length9.9033888
Min length1

Characters and Unicode

Total characters33315
Distinct characters20
Distinct categories7 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3155 ?
Unique (%)93.8%

Sample

1st row02-428-5888
2nd row02-417-9682
3rd row02-808-0337
4th row02-336-6434
5th row02-577-5079
ValueCountFrequency (%)
02 9
 
0.3%
433-4429 3
 
0.1%
919-4960 3
 
0.1%
02-2135-2556 3
 
0.1%
02-419-0228 3
 
0.1%
3452-3134 3
 
0.1%
070-8285-8296 2
 
0.1%
3474-8974 2
 
0.1%
02-832-0695 2
 
0.1%
422-6664 2
 
0.1%
Other values (3255) 3349
99.1%
2024-05-11T05:57:57.020282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 4917
14.8%
2 4413
13.2%
0 4351
13.1%
8 2592
7.8%
3 2579
7.7%
6 2532
7.6%
5 2466
7.4%
4 2464
7.4%
9 2366
7.1%
7 2318
7.0%
Other values (10) 2317
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28313
85.0%
Dash Punctuation 4917
 
14.8%
Other Punctuation 30
 
0.1%
Space Separator 24
 
0.1%
Close Punctuation 22
 
0.1%
Math Symbol 8
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 4413
15.6%
0 4351
15.4%
8 2592
9.2%
3 2579
9.1%
6 2532
8.9%
5 2466
8.7%
4 2464
8.7%
9 2366
8.4%
7 2318
8.2%
1 2232
7.9%
Other Punctuation
ValueCountFrequency (%)
. 25
83.3%
, 3
 
10.0%
* 1
 
3.3%
/ 1
 
3.3%
Math Symbol
ValueCountFrequency (%)
~ 7
87.5%
= 1
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 4917
100.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33315
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 4917
14.8%
2 4413
13.2%
0 4351
13.1%
8 2592
7.8%
3 2579
7.7%
6 2532
7.6%
5 2466
7.4%
4 2464
7.4%
9 2366
7.1%
7 2318
7.0%
Other values (10) 2317
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33315
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 4917
14.8%
2 4413
13.2%
0 4351
13.1%
8 2592
7.8%
3 2579
7.7%
6 2532
7.6%
5 2466
7.4%
4 2464
7.4%
9 2366
7.1%
7 2318
7.0%
Other values (10) 2317
7.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6153
Missing (%)100.0%
Memory size54.2 KiB

소재지우편번호
Text

MISSING 

Distinct1423
Distinct (%)55.2%
Missing3577
Missing (%)58.1%
Memory size48.2 KiB
2024-05-11T05:57:58.714387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0636646
Min length6

Characters and Unicode

Total characters15620
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

Unique837 ?
Unique (%)32.5%

Sample

1st row157-838
2nd row121-819
3rd row133880
4th row135-857
5th row132-922
ValueCountFrequency (%)
158050 11
 
0.4%
157030 10
 
0.4%
134822 9
 
0.3%
158806 8
 
0.3%
139816 8
 
0.3%
150033 8
 
0.3%
151015 8
 
0.3%
135897 8
 
0.3%
137803 7
 
0.3%
157910 7
 
0.3%
Other values (1413) 2492
96.7%
2024-05-11T05:58:00.922605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 3680
23.6%
8 2498
16.0%
3 2051
13.1%
5 1579
10.1%
0 1536
9.8%
2 1139
 
7.3%
7 856
 
5.5%
4 822
 
5.3%
9 690
 
4.4%
6 605
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15456
99.0%
Dash Punctuation 164
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3680
23.8%
8 2498
16.2%
3 2051
13.3%
5 1579
10.2%
0 1536
9.9%
2 1139
 
7.4%
7 856
 
5.5%
4 822
 
5.3%
9 690
 
4.5%
6 605
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 164
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15620
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3680
23.6%
8 2498
16.0%
3 2051
13.1%
5 1579
10.1%
0 1536
9.8%
2 1139
 
7.3%
7 856
 
5.5%
4 822
 
5.3%
9 690
 
4.4%
6 605
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15620
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3680
23.6%
8 2498
16.0%
3 2051
13.1%
5 1579
10.1%
0 1536
9.8%
2 1139
 
7.3%
7 856
 
5.5%
4 822
 
5.3%
9 690
 
4.4%
6 605
 
3.9%

지번주소
Text

MISSING 

Distinct5931
Distinct (%)97.5%
Missing72
Missing (%)1.2%
Memory size48.2 KiB
2024-05-11T05:58:02.123246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length51
Mean length25.488078
Min length12

Characters and Unicode

Total characters154993
Distinct characters579
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5788 ?
Unique (%)95.2%

Sample

1st row서울특별시 광진구 구의동 78-7 국제빌딩
2nd row서울특별시 강서구 화곡동 343-62 라인씨티
3rd row서울특별시 송파구 가락동 166-8
4th row서울특별시 영등포구 양평동4가 64-4
5th row서울특별시 양천구 신정동 282-10
ValueCountFrequency (%)
서울특별시 6079
 
20.5%
강남구 799
 
2.7%
송파구 504
 
1.7%
서초구 386
 
1.3%
지하1층 365
 
1.2%
강서구 361
 
1.2%
강동구 288
 
1.0%
영등포구 276
 
0.9%
2층 271
 
0.9%
마포구 266
 
0.9%
Other values (8182) 20124
67.7%
2024-05-11T05:58:04.097370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27553
 
17.8%
7302
 
4.7%
7230
 
4.7%
6455
 
4.2%
1 6255
 
4.0%
6209
 
4.0%
6108
 
3.9%
6081
 
3.9%
6079
 
3.9%
- 5187
 
3.3%
Other values (569) 70534
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 90889
58.6%
Decimal Number 29761
 
19.2%
Space Separator 27553
 
17.8%
Dash Punctuation 5187
 
3.3%
Uppercase Letter 696
 
0.4%
Other Punctuation 352
 
0.2%
Open Punctuation 191
 
0.1%
Close Punctuation 190
 
0.1%
Lowercase Letter 110
 
0.1%
Math Symbol 53
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7302
 
8.0%
7230
 
8.0%
6455
 
7.1%
6209
 
6.8%
6108
 
6.7%
6081
 
6.7%
6079
 
6.7%
3757
 
4.1%
2882
 
3.2%
1913
 
2.1%
Other values (499) 36873
40.6%
Uppercase Letter
ValueCountFrequency (%)
B 228
32.8%
A 55
 
7.9%
S 39
 
5.6%
E 34
 
4.9%
T 31
 
4.5%
K 30
 
4.3%
C 27
 
3.9%
I 26
 
3.7%
M 25
 
3.6%
G 23
 
3.3%
Other values (16) 178
25.6%
Lowercase Letter
ValueCountFrequency (%)
e 24
21.8%
r 11
10.0%
o 8
 
7.3%
t 8
 
7.3%
s 8
 
7.3%
n 8
 
7.3%
a 7
 
6.4%
w 6
 
5.5%
l 5
 
4.5%
b 5
 
4.5%
Other values (9) 20
18.2%
Decimal Number
ValueCountFrequency (%)
1 6255
21.0%
2 4118
13.8%
3 3404
11.4%
4 2931
9.8%
5 2667
9.0%
0 2453
 
8.2%
6 2340
 
7.9%
7 2061
 
6.9%
8 1856
 
6.2%
9 1676
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 315
89.5%
. 20
 
5.7%
@ 7
 
2.0%
/ 4
 
1.1%
& 3
 
0.9%
? 2
 
0.6%
: 1
 
0.3%
Letter Number
ValueCountFrequency (%)
5
45.5%
5
45.5%
1
 
9.1%
Space Separator
ValueCountFrequency (%)
27553
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5187
100.0%
Open Punctuation
ValueCountFrequency (%)
( 191
100.0%
Close Punctuation
ValueCountFrequency (%)
) 190
100.0%
Math Symbol
ValueCountFrequency (%)
~ 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 90887
58.6%
Common 63287
40.8%
Latin 817
 
0.5%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7302
 
8.0%
7230
 
8.0%
6455
 
7.1%
6209
 
6.8%
6108
 
6.7%
6081
 
6.7%
6079
 
6.7%
3757
 
4.1%
2882
 
3.2%
1913
 
2.1%
Other values (497) 36871
40.6%
Latin
ValueCountFrequency (%)
B 228
27.9%
A 55
 
6.7%
S 39
 
4.8%
E 34
 
4.2%
T 31
 
3.8%
K 30
 
3.7%
C 27
 
3.3%
I 26
 
3.2%
M 25
 
3.1%
e 24
 
2.9%
Other values (38) 298
36.5%
Common
ValueCountFrequency (%)
27553
43.5%
1 6255
 
9.9%
- 5187
 
8.2%
2 4118
 
6.5%
3 3404
 
5.4%
4 2931
 
4.6%
5 2667
 
4.2%
0 2453
 
3.9%
6 2340
 
3.7%
7 2061
 
3.3%
Other values (12) 4318
 
6.8%
Han
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 90887
58.6%
ASCII 64093
41.4%
Number Forms 11
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27553
43.0%
1 6255
 
9.8%
- 5187
 
8.1%
2 4118
 
6.4%
3 3404
 
5.3%
4 2931
 
4.6%
5 2667
 
4.2%
0 2453
 
3.8%
6 2340
 
3.7%
7 2061
 
3.2%
Other values (57) 5124
 
8.0%
Hangul
ValueCountFrequency (%)
7302
 
8.0%
7230
 
8.0%
6455
 
7.1%
6209
 
6.8%
6108
 
6.7%
6081
 
6.7%
6079
 
6.7%
3757
 
4.1%
2882
 
3.2%
1913
 
2.1%
Other values (497) 36871
40.6%
Number Forms
ValueCountFrequency (%)
5
45.5%
5
45.5%
1
 
9.1%
CJK
ValueCountFrequency (%)
1
50.0%
1
50.0%

도로명주소
Text

MISSING 

Distinct5829
Distinct (%)98.3%
Missing225
Missing (%)3.7%
Memory size48.2 KiB
2024-05-11T05:58:05.166269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length59
Mean length32.437584
Min length20

Characters and Unicode

Total characters192290
Distinct characters621
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5734 ?
Unique (%)96.7%

Sample

1st row서울특별시 광진구 자양로 257, 국제빌딩 3층 (구의동)
2nd row서울특별시 강서구 곰달래로 125, 401호 (화곡동, 라인씨티)
3rd row서울특별시 송파구 동남로 238, 오성빌딩 5층 (가락동)
4th row서울특별시 영등포구 선유로49길 4 (양평동4가)
5th row서울특별시 양천구 목동동로8길 29, 5층 (신정동)
ValueCountFrequency (%)
서울특별시 5929
 
15.9%
강남구 806
 
2.2%
지하1층 704
 
1.9%
2층 561
 
1.5%
송파구 502
 
1.3%
3층 502
 
1.3%
서초구 396
 
1.1%
강서구 357
 
1.0%
4층 299
 
0.8%
강동구 276
 
0.7%
Other values (6833) 26855
72.2%
2024-05-11T05:58:07.015403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32256
 
16.8%
7691
 
4.0%
7517
 
3.9%
6428
 
3.3%
6372
 
3.3%
1 6275
 
3.3%
6132
 
3.2%
) 6062
 
3.2%
( 6062
 
3.2%
, 6055
 
3.1%
Other values (611) 101440
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 112117
58.3%
Space Separator 32256
 
16.8%
Decimal Number 27922
 
14.5%
Other Punctuation 6095
 
3.2%
Close Punctuation 6062
 
3.2%
Open Punctuation 6062
 
3.2%
Uppercase Letter 998
 
0.5%
Dash Punctuation 504
 
0.3%
Math Symbol 133
 
0.1%
Lowercase Letter 128
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7691
 
6.9%
7517
 
6.7%
6428
 
5.7%
6372
 
5.7%
6132
 
5.5%
5969
 
5.3%
5931
 
5.3%
5929
 
5.3%
3747
 
3.3%
2274
 
2.0%
Other values (541) 54127
48.3%
Uppercase Letter
ValueCountFrequency (%)
B 458
45.9%
A 71
 
7.1%
S 43
 
4.3%
E 37
 
3.7%
T 37
 
3.7%
C 33
 
3.3%
I 30
 
3.0%
K 30
 
3.0%
G 28
 
2.8%
M 27
 
2.7%
Other values (16) 204
20.4%
Lowercase Letter
ValueCountFrequency (%)
e 28
21.9%
b 12
9.4%
r 12
9.4%
t 10
 
7.8%
n 10
 
7.8%
s 9
 
7.0%
o 8
 
6.2%
w 7
 
5.5%
a 6
 
4.7%
c 6
 
4.7%
Other values (9) 20
15.6%
Decimal Number
ValueCountFrequency (%)
1 6275
22.5%
2 4526
16.2%
3 3540
12.7%
0 2627
9.4%
4 2565
9.2%
5 2244
 
8.0%
6 1860
 
6.7%
7 1539
 
5.5%
8 1489
 
5.3%
9 1257
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 6055
99.3%
. 23
 
0.4%
/ 6
 
0.1%
& 5
 
0.1%
@ 3
 
< 0.1%
? 2
 
< 0.1%
: 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
5
38.5%
5
38.5%
3
23.1%
Space Separator
ValueCountFrequency (%)
32256
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6062
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6062
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 504
100.0%
Math Symbol
ValueCountFrequency (%)
~ 133
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 112115
58.3%
Common 79034
41.1%
Latin 1139
 
0.6%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7691
 
6.9%
7517
 
6.7%
6428
 
5.7%
6372
 
5.7%
6132
 
5.5%
5969
 
5.3%
5931
 
5.3%
5929
 
5.3%
3747
 
3.3%
2274
 
2.0%
Other values (539) 54125
48.3%
Latin
ValueCountFrequency (%)
B 458
40.2%
A 71
 
6.2%
S 43
 
3.8%
E 37
 
3.2%
T 37
 
3.2%
C 33
 
2.9%
I 30
 
2.6%
K 30
 
2.6%
e 28
 
2.5%
G 28
 
2.5%
Other values (38) 344
30.2%
Common
ValueCountFrequency (%)
32256
40.8%
1 6275
 
7.9%
) 6062
 
7.7%
( 6062
 
7.7%
, 6055
 
7.7%
2 4526
 
5.7%
3 3540
 
4.5%
0 2627
 
3.3%
4 2565
 
3.2%
5 2244
 
2.8%
Other values (12) 6822
 
8.6%
Han
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 112115
58.3%
ASCII 80160
41.7%
Number Forms 13
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32256
40.2%
1 6275
 
7.8%
) 6062
 
7.6%
( 6062
 
7.6%
, 6055
 
7.6%
2 4526
 
5.6%
3 3540
 
4.4%
0 2627
 
3.3%
4 2565
 
3.2%
5 2244
 
2.8%
Other values (57) 7948
 
9.9%
Hangul
ValueCountFrequency (%)
7691
 
6.9%
7517
 
6.7%
6428
 
5.7%
6372
 
5.7%
6132
 
5.5%
5969
 
5.3%
5931
 
5.3%
5929
 
5.3%
3747
 
3.3%
2274
 
2.0%
Other values (539) 54125
48.3%
Number Forms
ValueCountFrequency (%)
5
38.5%
5
38.5%
3
23.1%
CJK
ValueCountFrequency (%)
1
50.0%
1
50.0%

도로명우편번호
Text

MISSING 

Distinct2341
Distinct (%)52.0%
Missing1648
Missing (%)26.8%
Memory size48.2 KiB
2024-05-11T05:58:08.180870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0448391
Min length5

Characters and Unicode

Total characters22727
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

Unique1291 ?
Unique (%)28.7%

Sample

1st row04992
2nd row07774
3rd row05769
4th row07208
5th row08017
ValueCountFrequency (%)
07803 17
 
0.4%
07946 12
 
0.3%
07333 12
 
0.3%
06017 11
 
0.2%
06099 11
 
0.2%
06018 11
 
0.2%
03306 11
 
0.2%
05855 10
 
0.2%
08786 10
 
0.2%
06059 10
 
0.2%
Other values (2331) 4390
97.4%
2024-05-11T05:58:09.753957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6008
26.4%
6 2282
 
10.0%
5 2200
 
9.7%
7 2073
 
9.1%
3 2026
 
8.9%
1 1849
 
8.1%
2 1751
 
7.7%
8 1704
 
7.5%
4 1652
 
7.3%
9 1167
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22712
99.9%
Dash Punctuation 15
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6008
26.5%
6 2282
 
10.0%
5 2200
 
9.7%
7 2073
 
9.1%
3 2026
 
8.9%
1 1849
 
8.1%
2 1751
 
7.7%
8 1704
 
7.5%
4 1652
 
7.3%
9 1167
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22727
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6008
26.4%
6 2282
 
10.0%
5 2200
 
9.7%
7 2073
 
9.1%
3 2026
 
8.9%
1 1849
 
8.1%
2 1751
 
7.7%
8 1704
 
7.5%
4 1652
 
7.3%
9 1167
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22727
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6008
26.4%
6 2282
 
10.0%
5 2200
 
9.7%
7 2073
 
9.1%
3 2026
 
8.9%
1 1849
 
8.1%
2 1751
 
7.7%
8 1704
 
7.5%
4 1652
 
7.3%
9 1167
 
5.1%
Distinct5697
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size48.2 KiB
2024-05-11T05:58:10.456265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length36
Mean length8.258248
Min length1

Characters and Unicode

Total characters50813
Distinct characters794
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5387 ?
Unique (%)87.6%

Sample

1st row발레전문체력 능동센터
2nd rowMY FIRST GYM
3rd row조이필라위드짐
4th row레드핏 휘트니스
5th row제이미휘트니스
ValueCountFrequency (%)
휘트니스 329
 
3.3%
gym 196
 
2.0%
pt 166
 
1.7%
피트니스 123
 
1.2%
116
 
1.2%
크로스핏 94
 
1.0%
스포애니 77
 
0.8%
스튜디오 57
 
0.6%
fitness 56
 
0.6%
헬스 56
 
0.6%
Other values (6011) 8609
87.1%
2024-05-11T05:58:11.678627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4077
 
8.0%
3730
 
7.3%
1545
 
3.0%
1328
 
2.6%
1320
 
2.6%
1252
 
2.5%
1054
 
2.1%
) 885
 
1.7%
873
 
1.7%
( 867
 
1.7%
Other values (784) 33882
66.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35935
70.7%
Uppercase Letter 4916
 
9.7%
Space Separator 3730
 
7.3%
Lowercase Letter 2608
 
5.1%
Decimal Number 1444
 
2.8%
Close Punctuation 897
 
1.8%
Open Punctuation 879
 
1.7%
Other Punctuation 337
 
0.7%
Dash Punctuation 54
 
0.1%
Other Symbol 6
 
< 0.1%
Other values (3) 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4077
 
11.3%
1545
 
4.3%
1328
 
3.7%
1320
 
3.7%
1252
 
3.5%
1054
 
2.9%
873
 
2.4%
689
 
1.9%
646
 
1.8%
572
 
1.6%
Other values (699) 22579
62.8%
Uppercase Letter
ValueCountFrequency (%)
T 684
13.9%
P 497
 
10.1%
M 406
 
8.3%
G 379
 
7.7%
Y 329
 
6.7%
S 289
 
5.9%
F 220
 
4.5%
I 220
 
4.5%
E 213
 
4.3%
A 211
 
4.3%
Other values (16) 1468
29.9%
Lowercase Letter
ValueCountFrequency (%)
e 309
11.8%
i 247
 
9.5%
t 243
 
9.3%
o 222
 
8.5%
s 215
 
8.2%
n 201
 
7.7%
y 145
 
5.6%
a 142
 
5.4%
r 131
 
5.0%
m 123
 
4.7%
Other values (16) 630
24.2%
Other Punctuation
ValueCountFrequency (%)
& 148
43.9%
. 126
37.4%
, 23
 
6.8%
' 11
 
3.3%
: 10
 
3.0%
? 7
 
2.1%
/ 5
 
1.5%
4
 
1.2%
% 1
 
0.3%
# 1
 
0.3%
Decimal Number
ValueCountFrequency (%)
2 264
18.3%
1 232
16.1%
4 194
13.4%
3 193
13.4%
0 119
8.2%
5 105
 
7.3%
6 90
 
6.2%
9 87
 
6.0%
8 82
 
5.7%
7 78
 
5.4%
Other Symbol
ValueCountFrequency (%)
4
66.7%
1
 
16.7%
° 1
 
16.7%
Close Punctuation
ValueCountFrequency (%)
) 885
98.7%
] 12
 
1.3%
Open Punctuation
ValueCountFrequency (%)
( 867
98.6%
[ 12
 
1.4%
Space Separator
ValueCountFrequency (%)
3730
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35936
70.7%
Latin 7525
 
14.8%
Common 7349
 
14.5%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4077
 
11.3%
1545
 
4.3%
1328
 
3.7%
1320
 
3.7%
1252
 
3.5%
1054
 
2.9%
873
 
2.4%
689
 
1.9%
646
 
1.8%
572
 
1.6%
Other values (697) 22580
62.8%
Latin
ValueCountFrequency (%)
T 684
 
9.1%
P 497
 
6.6%
M 406
 
5.4%
G 379
 
5.0%
Y 329
 
4.4%
e 309
 
4.1%
S 289
 
3.8%
i 247
 
3.3%
t 243
 
3.2%
o 222
 
3.0%
Other values (43) 3920
52.1%
Common
ValueCountFrequency (%)
3730
50.8%
) 885
 
12.0%
( 867
 
11.8%
2 264
 
3.6%
1 232
 
3.2%
4 194
 
2.6%
3 193
 
2.6%
& 148
 
2.0%
. 126
 
1.7%
0 119
 
1.6%
Other values (21) 591
 
8.0%
Han
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35932
70.7%
ASCII 14867
29.3%
None 9
 
< 0.1%
CJK 2
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%
Number Forms 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
4077
 
11.3%
1545
 
4.3%
1328
 
3.7%
1320
 
3.7%
1252
 
3.5%
1054
 
2.9%
873
 
2.4%
689
 
1.9%
646
 
1.8%
572
 
1.6%
Other values (696) 22576
62.8%
ASCII
ValueCountFrequency (%)
3730
25.1%
) 885
 
6.0%
( 867
 
5.8%
T 684
 
4.6%
P 497
 
3.3%
M 406
 
2.7%
G 379
 
2.5%
Y 329
 
2.2%
e 309
 
2.1%
S 289
 
1.9%
Other values (70) 6492
43.7%
None
ValueCountFrequency (%)
4
44.4%
4
44.4%
° 1
 
11.1%
CJK
ValueCountFrequency (%)
1
50.0%
1
50.0%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%
Number Forms
ValueCountFrequency (%)
1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%
Distinct5901
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size48.2 KiB
Minimum2002-10-22 17:59:13
Maximum2024-05-09 15:15:40
2024-05-11T05:58:12.125405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:58:12.616480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.2 KiB
I
3453 
U
2700 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 3453
56.1%
U 2700
43.9%

Length

2024-05-11T05:58:13.075508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:58:13.505506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3453
56.1%
u 2700
43.9%
Distinct1464
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size48.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T05:58:13.894649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:58:14.460195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6153
Missing (%)100.0%
Memory size54.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct5118
Distinct (%)84.9%
Missing125
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean199663.44
Minimum182924.51
Maximum215423.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size54.2 KiB
2024-05-11T05:58:15.097277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182924.51
5-th percentile186445.76
Q1192959.27
median201622.27
Q3205190.58
95-th percentile211246.61
Maximum215423.76
Range32499.259
Interquartile range (IQR)12231.308

Descriptive statistics

Standard deviation7598.2781
Coefficient of variation (CV)0.03805543
Kurtosis-0.94297483
Mean199663.44
Median Absolute Deviation (MAD)5836.9869
Skewness-0.23535334
Sum1.2035712 × 109
Variance57733829
MonotonicityNot monotonic
2024-05-11T05:58:15.567187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
208707.089897534 6
 
0.1%
197329.898847331 5
 
0.1%
190600.511302284 5
 
0.1%
205957.334963839 5
 
0.1%
203384.79785484 4
 
0.1%
207624.424720682 4
 
0.1%
205800.186223739 4
 
0.1%
213607.080568254 4
 
0.1%
184368.686658363 4
 
0.1%
207248.404515714 4
 
0.1%
Other values (5108) 5983
97.2%
(Missing) 125
 
2.0%
ValueCountFrequency (%)
182924.505322144 1
< 0.1%
182959.976679854 1
< 0.1%
182965.529 1
< 0.1%
182974.850127567 1
< 0.1%
182983.398791677 1
< 0.1%
182984.891498757 1
< 0.1%
183039.924452506 1
< 0.1%
183046.486354734 1
< 0.1%
183090.805509245 1
< 0.1%
183116.294494255 1
< 0.1%
ValueCountFrequency (%)
215423.76462869 1
< 0.1%
215384.844269 1
< 0.1%
215377.770879705 2
< 0.1%
215356.343212895 1
< 0.1%
215333.558347275 1
< 0.1%
215314.746342111 1
< 0.1%
215289.815449411 1
< 0.1%
215243.166746909 1
< 0.1%
215212.435233218 1
< 0.1%
215188.912927145 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct5117
Distinct (%)84.9%
Missing125
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean448684.31
Minimum436997.08
Maximum464751.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size54.2 KiB
2024-05-11T05:58:16.072507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum436997.08
5-th percentile441916.08
Q1444555.96
median447888.32
Q3451779.67
95-th percentile459133.75
Maximum464751.48
Range27754.407
Interquartile range (IQR)7223.7083

Descriptive statistics

Standard deviation5253.9498
Coefficient of variation (CV)0.01170968
Kurtosis-0.092329201
Mean448684.31
Median Absolute Deviation (MAD)3566.8575
Skewness0.67363941
Sum2.704669 × 109
Variance27603988
MonotonicityNot monotonic
2024-05-11T05:58:16.623768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
446299.352775446 6
 
0.1%
448148.563344309 5
 
0.1%
452432.501606302 5
 
0.1%
441271.030355361 5
 
0.1%
451677.065126229 4
 
0.1%
450884.0 4
 
0.1%
448390.088509972 4
 
0.1%
451726.492157 4
 
0.1%
448202.632546787 4
 
0.1%
450119.168256979 4
 
0.1%
Other values (5107) 5983
97.2%
(Missing) 125
 
2.0%
ValueCountFrequency (%)
436997.075839023 1
< 0.1%
437622.231268027 1
< 0.1%
437689.38449215 2
< 0.1%
438410.522111193 1
< 0.1%
438520.182013694 1
< 0.1%
438529.363086443 1
< 0.1%
438589.345978164 1
< 0.1%
438593.516237885 1
< 0.1%
438658.789041117 1
< 0.1%
438675.04355628 1
< 0.1%
ValueCountFrequency (%)
464751.482559612 1
< 0.1%
464750.227451098 1
< 0.1%
464625.423162623 1
< 0.1%
464598.721765819 1
< 0.1%
464559.878016906 1
< 0.1%
464487.617817484 1
< 0.1%
464080.593904719 1
< 0.1%
464003.782684071 1
< 0.1%
463953.594076242 1
< 0.1%
463943.786866443 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.2 KiB
체력단련장업
4146 
<NA>
2007 

Length

Max length6
Median length6
Mean length5.3476353
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체력단련장업 4146
67.4%
<NA> 2007
32.6%

Length

2024-05-11T05:58:17.208608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:58:17.571293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체력단련장업 4146
67.4%
na 2007
32.6%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.2 KiB
사립
4140 
<NA>
2007 
공립
 
6

Length

Max length4
Median length2
Mean length2.6523647
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 4140
67.3%
<NA> 2007
32.6%
공립 6
 
0.1%

Length

2024-05-11T05:58:18.038838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:58:18.518918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 4140
67.3%
na 2007
32.6%
공립 6
 
0.1%

보험가입여부코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.2 KiB
<NA>
5495 
0
627 
Y
 
31

Length

Max length4
Median length4
Mean length3.6791809
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> 5495
89.3%
0 627
 
10.2%
Y 31
 
0.5%

Length

2024-05-11T05:58:19.036683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:58:19.496892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5495
89.3%
0 627
 
10.2%
y 31
 
0.5%

지도자수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)0.4%
Missing4021
Missing (%)65.4%
Infinite0
Infinite (%)0.0%
Mean0.93339587
Minimum0
Maximum22
Zeros569
Zeros (%)9.2%
Negative0
Negative (%)0.0%
Memory size54.2 KiB
2024-05-11T05:58:19.921948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum22
Range22
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.85245174
Coefficient of variation (CV)0.91327995
Kurtosis183.54072
Mean0.93339587
Median Absolute Deviation (MAD)0
Skewness8.0754421
Sum1990
Variance0.72667396
MonotonicityNot monotonic
2024-05-11T05:58:20.413963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 1180
 
19.2%
0 569
 
9.2%
2 373
 
6.1%
3 4
 
0.1%
4 2
 
< 0.1%
6 1
 
< 0.1%
11 1
 
< 0.1%
5 1
 
< 0.1%
22 1
 
< 0.1%
(Missing) 4021
65.4%
ValueCountFrequency (%)
0 569
9.2%
1 1180
19.2%
2 373
 
6.1%
3 4
 
0.1%
4 2
 
< 0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
11 1
 
< 0.1%
22 1
 
< 0.1%
ValueCountFrequency (%)
22 1
 
< 0.1%
11 1
 
< 0.1%
6 1
 
< 0.1%
5 1
 
< 0.1%
4 2
 
< 0.1%
3 4
 
0.1%
2 373
 
6.1%
1 1180
19.2%
0 569
9.2%

건축물동수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct7
Distinct (%)0.6%
Missing4975
Missing (%)80.9%
Infinite0
Infinite (%)0.0%
Mean0.38794567
Minimum0
Maximum105
Zeros851
Zeros (%)13.8%
Negative0
Negative (%)0.0%
Memory size54.2 KiB
2024-05-11T05:58:20.874098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum105
Range105
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.0973594
Coefficient of variation (CV)7.9840031
Kurtosis1108.2221
Mean0.38794567
Median Absolute Deviation (MAD)0
Skewness32.80055
Sum457
Variance9.5936354
MonotonicityNot monotonic
2024-05-11T05:58:21.270919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 851
 
13.8%
1 312
 
5.1%
2 7
 
0.1%
3 4
 
0.1%
4 2
 
< 0.1%
6 1
 
< 0.1%
105 1
 
< 0.1%
(Missing) 4975
80.9%
ValueCountFrequency (%)
0 851
13.8%
1 312
 
5.1%
2 7
 
0.1%
3 4
 
0.1%
4 2
 
< 0.1%
6 1
 
< 0.1%
105 1
 
< 0.1%
ValueCountFrequency (%)
105 1
 
< 0.1%
6 1
 
< 0.1%
4 2
 
< 0.1%
3 4
 
0.1%
2 7
 
0.1%
1 312
 
5.1%
0 851
13.8%

건축물연면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct1052
Distinct (%)57.2%
Missing4315
Missing (%)70.1%
Infinite0
Infinite (%)0.0%
Mean6439.1171
Minimum0
Maximum1231173
Zeros731
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size54.2 KiB
2024-05-11T05:58:22.098007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median656.035
Q32664.15
95-th percentile25250.159
Maximum1231173
Range1231173
Interquartile range (IQR)2664.15

Descriptive statistics

Standard deviation35424.129
Coefficient of variation (CV)5.5013954
Kurtosis789.3334
Mean6439.1171
Median Absolute Deviation (MAD)656.035
Skewness24.224636
Sum11835097
Variance1.2548689 × 109
MonotonicityNot monotonic
2024-05-11T05:58:22.820188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 731
 
11.9%
132407.0 3
 
< 0.1%
3526.38 3
 
< 0.1%
14328.01 3
 
< 0.1%
2393.57 3
 
< 0.1%
2400.09 3
 
< 0.1%
1106.5 3
 
< 0.1%
20474.94 3
 
< 0.1%
4794.83 2
 
< 0.1%
11339.18 2
 
< 0.1%
Other values (1042) 1082
 
17.6%
(Missing) 4315
70.1%
ValueCountFrequency (%)
0.0 731
11.9%
55.64 1
 
< 0.1%
71.0 1
 
< 0.1%
96.0 1
 
< 0.1%
97.23 1
 
< 0.1%
98.0 1
 
< 0.1%
99.18 1
 
< 0.1%
99.36 1
 
< 0.1%
100.0 2
 
< 0.1%
101.0 1
 
< 0.1%
ValueCountFrequency (%)
1231173.0 1
< 0.1%
346224.0 1
< 0.1%
340895.38 1
< 0.1%
190392.75 2
< 0.1%
187744.19 1
< 0.1%
187697.0 1
< 0.1%
158011.6 1
< 0.1%
151916.85 1
< 0.1%
151027.6 1
< 0.1%
135170.79 1
< 0.1%

회원모집총인원
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)4.0%
Missing5705
Missing (%)92.7%
Infinite0
Infinite (%)0.0%
Mean20.125
Minimum0
Maximum2000
Zeros417
Zeros (%)6.8%
Negative0
Negative (%)0.0%
Memory size54.2 KiB
2024-05-11T05:58:23.321154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile46.5
Maximum2000
Range2000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation134.45955
Coefficient of variation (CV)6.68122
Kurtosis124.08771
Mean20.125
Median Absolute Deviation (MAD)0
Skewness10.189157
Sum9016
Variance18079.371
MonotonicityNot monotonic
2024-05-11T05:58:23.703661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 417
 
6.8%
50 5
 
0.1%
200 3
 
< 0.1%
20 3
 
< 0.1%
1000 3
 
< 0.1%
500 3
 
< 0.1%
30 2
 
< 0.1%
100 2
 
< 0.1%
150 1
 
< 0.1%
250 1
 
< 0.1%
Other values (8) 8
 
0.1%
(Missing) 5705
92.7%
ValueCountFrequency (%)
0 417
6.8%
1 1
 
< 0.1%
5 1
 
< 0.1%
20 3
 
< 0.1%
30 2
 
< 0.1%
40 1
 
< 0.1%
50 5
 
0.1%
80 1
 
< 0.1%
100 2
 
< 0.1%
120 1
 
< 0.1%
ValueCountFrequency (%)
2000 1
 
< 0.1%
1000 3
< 0.1%
500 3
< 0.1%
400 1
 
< 0.1%
300 1
 
< 0.1%
250 1
 
< 0.1%
200 3
< 0.1%
150 1
 
< 0.1%
120 1
 
< 0.1%
100 2
< 0.1%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6153
Missing (%)100.0%
Memory size54.2 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6153
Missing (%)100.0%
Memory size54.2 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03040000CDFH33010620230000042023-02-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 78-7 국제빌딩서울특별시 광진구 자양로 257, 국제빌딩 3층 (구의동)04992발레전문체력 능동센터2023-02-28 09:29:22I2022-12-03 00:03:00.0<NA>207848.074658449668.698815<NA><NA><NA><NA><NA><NA><NA><NA><NA>
13150000CDFH33010620210000142021-06-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 343-62 라인씨티서울특별시 강서구 곰달래로 125, 401호 (화곡동, 라인씨티)07774MY FIRST GYM2023-02-28 09:13:49U2022-12-03 00:03:00.0<NA>186386.861573447625.801061<NA><NA><NA><NA><NA><NA><NA><NA><NA>
23230000CDFH33010620230000092023-03-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 166-8서울특별시 송파구 동남로 238, 오성빌딩 5층 (가락동)05769조이필라위드짐2023-03-02 09:24:08I2022-12-03 00:04:00.0<NA>211741.980475443948.576007<NA><NA><NA><NA><NA><NA><NA><NA><NA>
33180000CDFH33010620200000082020-08-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 양평동4가 64-4서울특별시 영등포구 선유로49길 4 (양평동4가)07208레드핏 휘트니스2023-03-02 10:51:08U2022-12-03 00:04:00.0<NA>190825.994376448191.347587<NA><NA><NA><NA><NA><NA><NA><NA><NA>
43140000CDFH33010620230000052023-03-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 282-10서울특별시 양천구 목동동로8길 29, 5층 (신정동)08017제이미휘트니스2023-03-03 12:55:32I2022-12-03 00:05:00.0<NA>188596.339869446018.924908<NA><NA><NA><NA><NA><NA><NA><NA><NA>
53240000CDFH33010620230000062023-03-03<NA>1영업/정상13영업중<NA><NA><NA><NA>02-428-5888<NA><NA>서울특별시 강동구 고덕동 503 지층서울특별시 강동구 동남로81길 44, 지층 (고덕동)05226사운드바디짐2023-03-03 12:57:51I2022-12-03 00:05:00.0<NA>213582.214076450874.522462<NA><NA><NA><NA><NA><NA><NA><NA><NA>
63230000CDFH33010620210000062021-05-10<NA>1영업/정상13영업중<NA><NA><NA><NA>02-417-9682<NA><NA>서울특별시 송파구 신천동 7-28 현대타워아파트서울특별시 송파구 올림픽로 293-19, 305, 306, 307호 (신천동, 현대타워아파트)05510로그짐 잠실역점2023-03-03 09:36:39U2022-12-03 00:05:00.0<NA>208992.217213445885.719952<NA><NA><NA><NA><NA><NA><NA><NA><NA>
73170000CDFH33010620230000022023-03-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-808-0337<NA><NA>서울특별시 금천구 시흥동 991-5서울특별시 금천구 시흥대로 189, 인피니움타워 311~316호 (시흥동)08635프리미엄 데이원 휘트니스2024-02-20 19:41:42U2023-12-01 22:02:00.0<NA>191231.71641438732.994399<NA><NA><NA><NA><NA><NA><NA><NA><NA>
83230000CDFH33010619940000061994-12-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 2-9 김해빌딩서울특별시 송파구 오금로 300, 김해빌딩 4층, 5층 (가락동)05700바디웍2023-03-03 09:51:09U2022-12-03 00:05:00.0<NA>211046.297863444565.558982<NA><NA><NA><NA><NA><NA><NA><NA><NA>
93040000CDFH33010620190000072019-05-27<NA>3폐업3폐업2023-03-06<NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 553-428 보은빌딩서울특별시 광진구 뚝섬로 523, 보은빌딩 지하 1층 (자양동)05074A2GYM(에이투짐)2023-03-06 13:07:01U2022-12-03 00:08:00.0<NA>205957.334964448148.563344<NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
61433140000CDFH330106201500000320150512<NA>3폐업3폐업20221226<NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 603-4 유창빌딩 지하1층서울특별시 양천구 공항대로 556, 지하1층 (목동)07946플러스버닝2022-12-27 09:51:57U2021-11-01 22:09:00.0<NA>188188.738081449679.651828<NA><NA><NA><NA><NA><NA><NA><NA><NA>
61443230000CDFH330106202200003220221228<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 97-1 지하1층서울특별시 송파구 새말로 138, 지하1층 (문정동)05799P-BOY MMA (피보이 엠엠에이)2022-12-28 14:18:33I2021-11-01 21:00:00.0<NA>211363.308152442346.649448<NA><NA><NA><NA><NA><NA><NA><NA><NA>
61453130000CDFH330106202200001920221227<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 동교동 166-14 동교동 스타피카소서울특별시 마포구 양화로 176, 동교동 스타피카소 지1층 (동교동)04051헬스보이짐필라걸홍대점2022-12-27 09:47:39I2021-11-01 21:00:00.0<NA>193282.1308450549.280167<NA><NA><NA><NA><NA><NA><NA><NA><NA>
61463040000CDFH330106202200002220221229<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 201-8 진넥스 베르디엠서울특별시 광진구 광나루로 604, 진넥스 베르디엠 4층 (구의동)05034더컨디셔닝 광장점2022-12-29 12:43:02I2021-11-01 21:01:00.0<NA>208318.216397448817.091466<NA><NA><NA><NA><NA><NA><NA><NA><NA>
61473110000CDFH330106202200001620221229<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 진관동 100-2 은평뉴타운 신한 헤센스마트서울특별시 은평구 통일로 1020, 은평뉴타운 신한 헤센스마트 (진관동)03311오운짐 PT스튜디오2022-12-29 09:51:21I2021-11-01 21:01:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
61483030000CDFH330106202200001720221229<NA>1영업/정상13영업중<NA><NA><NA><NA>0222541119<NA><NA>서울특별시 성동구 금호동2가 1215 금호자이1차서울특별시 성동구 금호로 117, B218호 (금호동2가, 금호자이1차)04728더컨디셔닝2022-12-29 13:22:07I2021-11-01 21:01:00.0<NA>201914.222823450063.478301<NA><NA><NA><NA><NA><NA><NA><NA><NA>
61493200000CDFH330106201900000920191114<NA>1영업/정상13영업중<NA><NA><NA><NA>02-883-1603<NA><NA>서울특별시 관악구 신림동 1421-63서울특별시 관악구 신림로64길 9, 3층 (신림동)08754유앤아이짐2022-12-29 17:25:00U2021-11-01 21:01:00.0<NA>193761.462122442552.376302<NA><NA><NA><NA><NA><NA><NA><NA><NA>
61503180000CDFH330106200600000320060605<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 신길동 4780서울특별시 영등포구 여의대방로 25, 지하101호 (신길동, 보라매 경남아너스빌)07437알파 트레이닝센터2022-12-29 17:44:02U2021-11-01 21:01:00.0<NA>191982.734798443643.389854<NA><NA><NA><NA><NA><NA><NA><NA><NA>
61513220000CDFH330106201100002520110825<NA>3폐업3폐업20221230<NA><NA><NA>025711152<NA>135271서울특별시 강남구 도곡동 543 동신빌딩 B1서울특별시 강남구 도곡로 204 (도곡동,동신빌딩 B1)<NA>(주)엠브이피짐2022-12-30 13:07:34U2022-12-01 00:01:00.0<NA>203591.235463443328.743765<NA><NA><NA><NA><NA><NA><NA><NA><NA>
61523130000CDFH33010620220000202022-12-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 성산동 260-4 금수빌딩서울특별시 마포구 월드컵로 134, 금수빌딩 지하1층,지하2층 일부호 (성산동)03970더짐(THE GYM)망원점2023-06-09 16:26:56U2022-12-05 23:01:00.0<NA>191705.353834450873.000817<NA><NA><NA><NA><NA><NA><NA><NA><NA>