Overview

Dataset statistics

Number of variables34
Number of observations10000
Missing cells117926
Missing cells (%)34.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 MiB
Average record size in memory295.0 B

Variable types

Numeric8
Text7
DateTime6
Categorical8
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-16133/S/1/datasetView.do

Alerts

상세영업상태명 is highly imbalanced (62.5%)Imbalance
문화체육업종명 is highly imbalanced (52.5%)Imbalance
공사립구분명 is highly imbalanced (69.8%)Imbalance
보험가입여부코드 is highly imbalanced (66.6%)Imbalance
인허가취소일자 has 9989 (99.9%) missing valuesMissing
폐업일자 has 2169 (21.7%) missing valuesMissing
휴업시작일자 has 9995 (> 99.9%) missing valuesMissing
휴업종료일자 has 9995 (> 99.9%) missing valuesMissing
재개업일자 has 10000 (100.0%) missing valuesMissing
전화번호 has 5019 (50.2%) missing valuesMissing
소재지면적 has 10000 (100.0%) missing valuesMissing
소재지우편번호 has 1611 (16.1%) missing valuesMissing
도로명주소 has 1032 (10.3%) missing valuesMissing
도로명우편번호 has 7000 (70.0%) missing valuesMissing
업태구분명 has 10000 (100.0%) missing valuesMissing
좌표정보(X) has 418 (4.2%) missing valuesMissing
좌표정보(Y) has 418 (4.2%) missing valuesMissing
건축물동수 has 5564 (55.6%) missing valuesMissing
건축물연면적 has 4916 (49.2%) missing valuesMissing
회원모집총인원 has 9733 (97.3%) missing valuesMissing
세부업종명 has 10000 (100.0%) missing valuesMissing
법인명 has 10000 (100.0%) missing valuesMissing
건축물연면적 is highly skewed (γ1 = 23.03967477)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
건축물동수 has 3933 (39.3%) zerosZeros
건축물연면적 has 3829 (38.3%) zerosZeros
회원모집총인원 has 240 (2.4%) zerosZeros

Reproduction

Analysis started2024-05-11 08:00:00.313444
Analysis finished2024-05-11 08:00:02.282983
Duration1.97 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3129340
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T17:00:02.355844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3010000
Q13060000
median3130000
Q33200000
95-th percentile3240000
Maximum3240000
Range240000
Interquartile range (IQR)140000

Descriptive statistics

Standard deviation75957.892
Coefficient of variation (CV)0.024272815
Kurtosis-1.2826258
Mean3129340
Median Absolute Deviation (MAD)70000
Skewness-0.16784314
Sum3.12934 × 1010
Variance5.7696014 × 109
MonotonicityNot monotonic
2024-05-11T17:00:02.524707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3230000 605
 
6.0%
3220000 594
 
5.9%
3180000 584
 
5.8%
3240000 546
 
5.5%
3210000 532
 
5.3%
3000000 486
 
4.9%
3150000 445
 
4.5%
3200000 444
 
4.4%
3010000 432
 
4.3%
3040000 422
 
4.2%
Other values (15) 4910
49.1%
ValueCountFrequency (%)
3000000 486
4.9%
3010000 432
4.3%
3020000 254
2.5%
3030000 280
2.8%
3040000 422
4.2%
3050000 346
3.5%
3060000 390
3.9%
3070000 393
3.9%
3080000 366
3.7%
3090000 253
2.5%
ValueCountFrequency (%)
3240000 546
5.5%
3230000 605
6.0%
3220000 594
5.9%
3210000 532
5.3%
3200000 444
4.4%
3190000 290
2.9%
3180000 584
5.8%
3170000 347
3.5%
3160000 348
3.5%
3150000 445
4.5%

관리번호
Text

Distinct1497
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T17:00:02.759333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters200000
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

Unique386 ?
Unique (%)3.9%

Sample

1st rowCDFH3301082006000012
2nd rowCDFH3301081996000013
3rd rowCDFH3301082004000001
4th rowCDFH3301082001000018
5th rowCDFH3301082014000003
ValueCountFrequency (%)
cdfh3301081997000001 24
 
0.2%
cdfh3301082009000002 23
 
0.2%
cdfh3301081996000006 23
 
0.2%
cdfh3301082010000005 23
 
0.2%
cdfh3301081998000013 22
 
0.2%
cdfh3301081998000011 22
 
0.2%
cdfh3301081996000003 22
 
0.2%
cdfh3301082006000002 22
 
0.2%
cdfh3301082012000002 22
 
0.2%
cdfh3301081998000006 22
 
0.2%
Other values (1487) 9775
97.8%
2024-05-11T17:00:03.103265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 75080
37.5%
3 22553
 
11.3%
1 20989
 
10.5%
8 12791
 
6.4%
9 10916
 
5.5%
C 10000
 
5.0%
D 10000
 
5.0%
F 10000
 
5.0%
H 10000
 
5.0%
2 8958
 
4.5%
Other values (4) 8713
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 160000
80.0%
Uppercase Letter 40000
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 75080
46.9%
3 22553
 
14.1%
1 20989
 
13.1%
8 12791
 
8.0%
9 10916
 
6.8%
2 8958
 
5.6%
4 2320
 
1.5%
6 2173
 
1.4%
5 2119
 
1.3%
7 2101
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
C 10000
25.0%
D 10000
25.0%
F 10000
25.0%
H 10000
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 160000
80.0%
Latin 40000
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 75080
46.9%
3 22553
 
14.1%
1 20989
 
13.1%
8 12791
 
8.0%
9 10916
 
6.8%
2 8958
 
5.6%
4 2320
 
1.5%
6 2173
 
1.4%
5 2119
 
1.3%
7 2101
 
1.3%
Latin
ValueCountFrequency (%)
C 10000
25.0%
D 10000
25.0%
F 10000
25.0%
H 10000
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 200000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 75080
37.5%
3 22553
 
11.3%
1 20989
 
10.5%
8 12791
 
6.4%
9 10916
 
5.5%
C 10000
 
5.0%
D 10000
 
5.0%
F 10000
 
5.0%
H 10000
 
5.0%
2 8958
 
4.5%
Other values (4) 8713
 
4.4%

인허가일자
Date

Distinct5556
Distinct (%)55.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1900-01-19 00:00:00
Maximum2024-05-08 00:00:00
2024-05-11T17:00:03.257184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:00:03.400295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)72.7%
Missing9989
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean20019210
Minimum19981215
Maximum20171212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T17:00:03.525095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19981215
5-th percentile19986018
Q119991162
median19991202
Q320000610
95-th percentile20141066
Maximum20171212
Range189997
Interquartile range (IQR)9447.5

Descriptive statistics

Standard deviation61954.781
Coefficient of variation (CV)0.0030947665
Kurtosis3.4314595
Mean20019210
Median Absolute Deviation (MAD)382
Skewness2.098246
Sum2.2021132 × 108
Variance3.8383949 × 109
MonotonicityNot monotonic
2024-05-11T17:00:03.642751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
19991202 4
 
< 0.1%
20001111 1
 
< 0.1%
19991122 1
 
< 0.1%
20171212 1
 
< 0.1%
20000108 1
 
< 0.1%
20110919 1
 
< 0.1%
19981215 1
 
< 0.1%
19990820 1
 
< 0.1%
(Missing) 9989
99.9%
ValueCountFrequency (%)
19981215 1
 
< 0.1%
19990820 1
 
< 0.1%
19991122 1
 
< 0.1%
19991202 4
< 0.1%
20000108 1
 
< 0.1%
20001111 1
 
< 0.1%
20110919 1
 
< 0.1%
20171212 1
 
< 0.1%
ValueCountFrequency (%)
20171212 1
 
< 0.1%
20110919 1
 
< 0.1%
20001111 1
 
< 0.1%
20000108 1
 
< 0.1%
19991202 4
< 0.1%
19991122 1
 
< 0.1%
19990820 1
 
< 0.1%
19981215 1
 
< 0.1%

영업상태코드
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
6921 
1
2132 
4
940 
2
 
5
5
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row3
3rd row3
4th row3
5th row4

Common Values

ValueCountFrequency (%)
3 6921
69.2%
1 2132
 
21.3%
4 940
 
9.4%
2 5
 
0.1%
5 2
 
< 0.1%

Length

2024-05-11T17:00:03.769340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:00:03.875559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 6921
69.2%
1 2132
 
21.3%
4 940
 
9.4%
2 5
 
< 0.1%
5 2
 
< 0.1%

영업상태명
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
6921 
영업/정상
2132 
취소/말소/만료/정지/중지
940 
휴업
 
5
제외/삭제/전출
 
2

Length

Max length14
Median length2
Mean length3.7688
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 6921
69.2%
영업/정상 2132
 
21.3%
취소/말소/만료/정지/중지 940
 
9.4%
휴업 5
 
0.1%
제외/삭제/전출 2
 
< 0.1%

Length

2024-05-11T17:00:03.990774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:00:04.101815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 6921
69.2%
영업/정상 2132
 
21.3%
취소/말소/만료/정지/중지 940
 
9.4%
휴업 5
 
< 0.1%
제외/삭제/전출 2
 
< 0.1%

상세영업상태코드
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.1407
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T17:00:04.203472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median3
Q313
95-th percentile35
Maximum35
Range33
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.5361521
Coefficient of variation (CV)1.1714167
Kurtosis2.9484293
Mean8.1407
Median Absolute Deviation (MAD)0
Skewness2.0090429
Sum81407
Variance90.938197
MonotonicityNot monotonic
2024-05-11T17:00:04.318049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3 6919
69.2%
13 2132
 
21.3%
35 922
 
9.2%
30 9
 
0.1%
32 7
 
0.1%
2 5
 
0.1%
31 2
 
< 0.1%
15 2
 
< 0.1%
34 2
 
< 0.1%
ValueCountFrequency (%)
2 5
 
0.1%
3 6919
69.2%
13 2132
 
21.3%
15 2
 
< 0.1%
30 9
 
0.1%
31 2
 
< 0.1%
32 7
 
0.1%
34 2
 
< 0.1%
35 922
 
9.2%
ValueCountFrequency (%)
35 922
 
9.2%
34 2
 
< 0.1%
32 7
 
0.1%
31 2
 
< 0.1%
30 9
 
0.1%
15 2
 
< 0.1%
13 2132
 
21.3%
3 6919
69.2%
2 5
 
0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
6919 
영업중
2132 
직권말소
922 
허가취소
 
9
신고취소
 
7
Other values (4)
 
11

Length

Max length5
Median length2
Mean length2.4018
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 6919
69.2%
영업중 2132
 
21.3%
직권말소 922
 
9.2%
허가취소 9
 
0.1%
신고취소 7
 
0.1%
휴업 5
 
0.1%
등록취소 2
 
< 0.1%
전출 2
 
< 0.1%
영업장폐쇄 2
 
< 0.1%

Length

2024-05-11T17:00:04.460974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:00:04.819373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 6919
69.2%
영업중 2132
 
21.3%
직권말소 922
 
9.2%
허가취소 9
 
0.1%
신고취소 7
 
0.1%
휴업 5
 
< 0.1%
등록취소 2
 
< 0.1%
전출 2
 
< 0.1%
영업장폐쇄 2
 
< 0.1%

폐업일자
Date

MISSING 

Distinct3675
Distinct (%)46.9%
Missing2169
Missing (%)21.7%
Memory size156.2 KiB
Minimum1987-03-18 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T17:00:04.968493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:00:05.133710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct5
Distinct (%)100.0%
Missing9995
Missing (%)> 99.9%
Memory size156.2 KiB
Minimum1997-02-21 00:00:00
Maximum2023-11-02 00:00:00
2024-05-11T17:00:05.264561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:00:05.372691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

휴업종료일자
Date

MISSING 

Distinct5
Distinct (%)100.0%
Missing9995
Missing (%)> 99.9%
Memory size156.2 KiB
Minimum1997-04-30 00:00:00
Maximum2024-05-02 00:00:00
2024-05-11T17:00:05.489076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:00:05.592721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

전화번호
Text

MISSING 

Distinct4877
Distinct (%)97.9%
Missing5019
Missing (%)50.2%
Memory size156.2 KiB
2024-05-11T17:00:05.928508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length8
Mean length8.7452319
Min length1

Characters and Unicode

Total characters43560
Distinct characters17
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

Unique4775 ?
Unique (%)95.9%

Sample

1st row2241-9217
2nd row989-4281
3rd row922-1141
4th row333-3204
5th row593-2285
ValueCountFrequency (%)
5
 
0.1%
438-2634 3
 
0.1%
442-2560 2
 
< 0.1%
414-8786 2
 
< 0.1%
844-0880 2
 
< 0.1%
987-2283 2
 
< 0.1%
332-8459 2
 
< 0.1%
699-4185 2
 
< 0.1%
3423-0382 2
 
< 0.1%
576-1049 2
 
< 0.1%
Other values (4865) 4958
99.5%
2024-05-11T17:00:06.474551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 5781
13.3%
2 4455
10.2%
4 4278
9.8%
3 4052
9.3%
9 3911
9.0%
0 3904
9.0%
8 3713
8.5%
6 3561
8.2%
7 3509
8.1%
5 3482
8.0%
Other values (7) 2914
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 37720
86.6%
Dash Punctuation 5781
 
13.3%
Close Punctuation 40
 
0.1%
Other Punctuation 11
 
< 0.1%
Open Punctuation 6
 
< 0.1%
Math Symbol 1
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 4455
11.8%
4 4278
11.3%
3 4052
10.7%
9 3911
10.4%
0 3904
10.3%
8 3713
9.8%
6 3561
9.4%
7 3509
9.3%
5 3482
9.2%
1 2855
7.6%
Other Punctuation
ValueCountFrequency (%)
. 8
72.7%
, 3
 
27.3%
Dash Punctuation
ValueCountFrequency (%)
- 5781
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 43560
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 5781
13.3%
2 4455
10.2%
4 4278
9.8%
3 4052
9.3%
9 3911
9.0%
0 3904
9.0%
8 3713
8.5%
6 3561
8.2%
7 3509
8.1%
5 3482
8.0%
Other values (7) 2914
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43560
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 5781
13.3%
2 4455
10.2%
4 4278
9.8%
3 4052
9.3%
9 3911
9.0%
0 3904
9.0%
8 3713
8.5%
6 3561
8.2%
7 3509
8.1%
5 3482
8.0%
Other values (7) 2914
6.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

소재지우편번호
Text

MISSING 

Distinct2161
Distinct (%)25.8%
Missing1611
Missing (%)16.1%
Memory size156.2 KiB
2024-05-11T17:00:06.885959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0295625
Min length6

Characters and Unicode

Total characters50582
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

Unique735 ?
Unique (%)8.8%

Sample

1st row135516
2nd row110070
3rd row142804
4th row110045
5th row157801
ValueCountFrequency (%)
136075 45
 
0.5%
120834 44
 
0.5%
153801 41
 
0.5%
138861 41
 
0.5%
110111 33
 
0.4%
150033 32
 
0.4%
134822 31
 
0.4%
151895 30
 
0.4%
130872 26
 
0.3%
136051 24
 
0.3%
Other values (2151) 8042
95.9%
2024-05-11T17:00:07.479311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 12358
24.4%
8 8271
16.4%
3 6150
12.2%
0 5600
11.1%
5 4581
 
9.1%
2 3868
 
7.6%
4 2961
 
5.9%
7 2351
 
4.6%
6 2103
 
4.2%
9 2091
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 50334
99.5%
Dash Punctuation 248
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 12358
24.6%
8 8271
16.4%
3 6150
12.2%
0 5600
11.1%
5 4581
 
9.1%
2 3868
 
7.7%
4 2961
 
5.9%
7 2351
 
4.7%
6 2103
 
4.2%
9 2091
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 248
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 50582
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 12358
24.4%
8 8271
16.4%
3 6150
12.2%
0 5600
11.1%
5 4581
 
9.1%
2 3868
 
7.6%
4 2961
 
5.9%
7 2351
 
4.6%
6 2103
 
4.2%
9 2091
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50582
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 12358
24.4%
8 8271
16.4%
3 6150
12.2%
0 5600
11.1%
5 4581
 
9.1%
2 3868
 
7.6%
4 2961
 
5.9%
7 2351
 
4.6%
6 2103
 
4.2%
9 2091
 
4.1%

지번주소
Text

Distinct9517
Distinct (%)95.8%
Missing67
Missing (%)0.7%
Memory size156.2 KiB
2024-05-11T17:00:07.858796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length50
Mean length24.198027
Min length13

Characters and Unicode

Total characters240359
Distinct characters467
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9138 ?
Unique (%)92.0%

Sample

1st row서울특별시 강남구 일원동 685-7
2nd row서울특별시 종로구 내수동 10-2번지
3rd row서울특별시 강북구 미아동 42-74번지
4th row서울특별시 종로구 체부동 20-0번지
5th row서울특별시 강서구 가양동 131-4
ValueCountFrequency (%)
서울특별시 9933
 
22.1%
2층 784
 
1.7%
3층 705
 
1.6%
송파구 599
 
1.3%
강남구 592
 
1.3%
영등포구 582
 
1.3%
지하1층 563
 
1.3%
강동구 546
 
1.2%
서초구 527
 
1.2%
종로구 484
 
1.1%
Other values (9615) 29679
66.0%
2024-05-11T17:00:08.379541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
43859
18.2%
서 11538
 
4.8%
동 11491
 
4.8%
구 10554
 
4.4%
시 10071
 
4.2%
1 9978
 
4.2%
울 9940
 
4.1%
별 9936
 
4.1%
특 9935
 
4.1%
지 9400
 
3.9%
Other values (457) 103657
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 138420
57.6%
Decimal Number 47802
 
19.9%
Space Separator 43859
 
18.2%
Dash Punctuation 9151
 
3.8%
Close Punctuation 317
 
0.1%
Open Punctuation 315
 
0.1%
Other Punctuation 250
 
0.1%
Uppercase Letter 205
 
0.1%
Math Symbol 21
 
< 0.1%
Lowercase Letter 16
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 11538
 
8.3%
동 11491
 
8.3%
구 10554
 
7.6%
시 10071
 
7.3%
울 9940
 
7.2%
별 9936
 
7.2%
특 9935
 
7.2%
지 9400
 
6.8%
번 7843
 
5.7%
층 3293
 
2.4%
Other values (407) 44419
32.1%
Uppercase Letter
ValueCountFrequency (%)
B 120
58.5%
A 26
 
12.7%
T 8
 
3.9%
C 7
 
3.4%
P 5
 
2.4%
F 5
 
2.4%
I 5
 
2.4%
D 4
 
2.0%
S 4
 
2.0%
J 4
 
2.0%
Other values (9) 17
 
8.3%
Decimal Number
ValueCountFrequency (%)
1 9978
20.9%
2 6984
14.6%
3 6078
12.7%
4 4639
9.7%
5 4076
8.5%
6 3658
 
7.7%
0 3468
 
7.3%
7 3150
 
6.6%
9 2889
 
6.0%
8 2881
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
m 7
43.8%
c 2
 
12.5%
e 2
 
12.5%
i 2
 
12.5%
t 1
 
6.2%
d 1
 
6.2%
z 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 222
88.8%
. 18
 
7.2%
/ 5
 
2.0%
@ 3
 
1.2%
: 2
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 316
99.7%
] 1
 
0.3%
Space Separator
ValueCountFrequency (%)
43859
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9151
100.0%
Open Punctuation
ValueCountFrequency (%)
( 315
100.0%
Math Symbol
ValueCountFrequency (%)
~ 21
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 138420
57.6%
Common 101716
42.3%
Latin 223
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 11538
 
8.3%
동 11491
 
8.3%
구 10554
 
7.6%
시 10071
 
7.3%
울 9940
 
7.2%
별 9936
 
7.2%
특 9935
 
7.2%
지 9400
 
6.8%
번 7843
 
5.7%
층 3293
 
2.4%
Other values (407) 44419
32.1%
Latin
ValueCountFrequency (%)
B 120
53.8%
A 26
 
11.7%
T 8
 
3.6%
m 7
 
3.1%
C 7
 
3.1%
P 5
 
2.2%
F 5
 
2.2%
I 5
 
2.2%
D 4
 
1.8%
S 4
 
1.8%
Other values (17) 32
 
14.3%
Common
ValueCountFrequency (%)
43859
43.1%
1 9978
 
9.8%
- 9151
 
9.0%
2 6984
 
6.9%
3 6078
 
6.0%
4 4639
 
4.6%
5 4076
 
4.0%
6 3658
 
3.6%
0 3468
 
3.4%
7 3150
 
3.1%
Other values (13) 6675
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 138419
57.6%
ASCII 101936
42.4%
Number Forms 2
 
< 0.1%
None 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
43859
43.0%
1 9978
 
9.8%
- 9151
 
9.0%
2 6984
 
6.9%
3 6078
 
6.0%
4 4639
 
4.6%
5 4076
 
4.0%
6 3658
 
3.6%
0 3468
 
3.4%
7 3150
 
3.1%
Other values (38) 6895
 
6.8%
Hangul
ValueCountFrequency (%)
서 11538
 
8.3%
동 11491
 
8.3%
구 10554
 
7.6%
시 10071
 
7.3%
울 9940
 
7.2%
별 9936
 
7.2%
특 9935
 
7.2%
지 9400
 
6.8%
번 7843
 
5.7%
층 3293
 
2.4%
Other values (406) 44418
32.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%
None
ValueCountFrequency (%)
２ 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅂ 1
100.0%

도로명주소
Text

MISSING 

Distinct8666
Distinct (%)96.6%
Missing1032
Missing (%)10.3%
Memory size156.2 KiB
2024-05-11T17:00:08.774786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length53
Mean length28.0843
Min length19

Characters and Unicode

Total characters251860
Distinct characters517
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8389 ?
Unique (%)93.5%

Sample

1st row서울특별시 강남구 양재대로27길 6 (일원동)
2nd row서울특별시 강북구 월계로3길 26 (미아동)
3rd row서울특별시 종로구 자하문로7길 15 (체부동)
4th row서울특별시 강서구 양천로 360, 2층 (가양동)
5th row서울특별시 용산구 원효로 75 (원효로4가,2층)
ValueCountFrequency (%)
서울특별시 8968
 
18.6%
송파구 592
 
1.2%
강남구 587
 
1.2%
서초구 514
 
1.1%
영등포구 511
 
1.1%
강동구 501
 
1.0%
2층 455
 
0.9%
강서구 431
 
0.9%
종로구 428
 
0.9%
관악구 426
 
0.9%
Other values (6422) 34804
72.2%
2024-05-11T17:00:09.388620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
43945
 
17.4%
동 11138
 
4.4%
서 10904
 
4.3%
로 9802
 
3.9%
구 9718
 
3.9%
시 9257
 
3.7%
( 9239
 
3.7%
) 9239
 
3.7%
울 9006
 
3.6%
별 8969
 
3.6%
Other values (507) 120643
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 148473
59.0%
Space Separator 43945
 
17.4%
Decimal Number 35010
 
13.9%
Close Punctuation 9240
 
3.7%
Open Punctuation 9239
 
3.7%
Other Punctuation 4873
 
1.9%
Dash Punctuation 772
 
0.3%
Uppercase Letter 241
 
0.1%
Math Symbol 38
 
< 0.1%
Lowercase Letter 26
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 11138
 
7.5%
서 10904
 
7.3%
로 9802
 
6.6%
구 9718
 
6.5%
시 9257
 
6.2%
울 9006
 
6.1%
별 8969
 
6.0%
특 8968
 
6.0%
길 4283
 
2.9%
층 3608
 
2.4%
Other values (448) 62820
42.3%
Uppercase Letter
ValueCountFrequency (%)
B 142
58.9%
A 25
 
10.4%
T 8
 
3.3%
I 7
 
2.9%
F 6
 
2.5%
M 6
 
2.5%
S 6
 
2.5%
C 6
 
2.5%
E 5
 
2.1%
D 4
 
1.7%
Other values (13) 26
 
10.8%
Lowercase Letter
ValueCountFrequency (%)
m 7
26.9%
b 4
15.4%
i 3
11.5%
e 3
11.5%
c 2
 
7.7%
r 1
 
3.8%
w 1
 
3.8%
o 1
 
3.8%
k 1
 
3.8%
d 1
 
3.8%
Other values (2) 2
 
7.7%
Decimal Number
ValueCountFrequency (%)
1 7565
21.6%
2 5911
16.9%
3 4714
13.5%
4 3186
9.1%
5 2763
 
7.9%
6 2442
 
7.0%
0 2312
 
6.6%
7 2267
 
6.5%
8 1995
 
5.7%
9 1855
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 4845
99.4%
. 18
 
0.4%
/ 4
 
0.1%
: 2
 
< 0.1%
? 2
 
< 0.1%
@ 2
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 9239
> 99.9%
] 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
Space Separator
ValueCountFrequency (%)
43945
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9239
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 772
100.0%
Math Symbol
ValueCountFrequency (%)
~ 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 148473
59.0%
Common 103117
40.9%
Latin 270
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 11138
 
7.5%
서 10904
 
7.3%
로 9802
 
6.6%
구 9718
 
6.5%
시 9257
 
6.2%
울 9006
 
6.1%
별 8969
 
6.0%
특 8968
 
6.0%
길 4283
 
2.9%
층 3608
 
2.4%
Other values (448) 62820
42.3%
Latin
ValueCountFrequency (%)
B 142
52.6%
A 25
 
9.3%
T 8
 
3.0%
m 7
 
2.6%
I 7
 
2.6%
F 6
 
2.2%
M 6
 
2.2%
S 6
 
2.2%
C 6
 
2.2%
E 5
 
1.9%
Other values (27) 52
 
19.3%
Common
ValueCountFrequency (%)
43945
42.6%
( 9239
 
9.0%
) 9239
 
9.0%
1 7565
 
7.3%
2 5911
 
5.7%
, 4845
 
4.7%
3 4714
 
4.6%
4 3186
 
3.1%
5 2763
 
2.7%
6 2442
 
2.4%
Other values (12) 9268
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 148473
59.0%
ASCII 103384
41.0%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
43945
42.5%
( 9239
 
8.9%
) 9239
 
8.9%
1 7565
 
7.3%
2 5911
 
5.7%
, 4845
 
4.7%
3 4714
 
4.6%
4 3186
 
3.1%
5 2763
 
2.7%
6 2442
 
2.4%
Other values (47) 9535
 
9.2%
Hangul
ValueCountFrequency (%)
동 11138
 
7.5%
서 10904
 
7.3%
로 9802
 
6.6%
구 9718
 
6.5%
시 9257
 
6.2%
울 9006
 
6.1%
별 8969
 
6.0%
특 8968
 
6.0%
길 4283
 
2.9%
층 3608
 
2.4%
Other values (448) 62820
42.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%

도로명우편번호
Text

MISSING 

Distinct1786
Distinct (%)59.5%
Missing7000
Missing (%)70.0%
Memory size156.2 KiB
2024-05-11T17:00:09.779187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1456667
Min length5

Characters and Unicode

Total characters15437
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

Unique1124 ?
Unique (%)37.5%

Sample

1st row07573
2nd row07679
3rd row04519
4th row131813
5th row08734
ValueCountFrequency (%)
131860 11
 
0.4%
131820 10
 
0.3%
07968 9
 
0.3%
131811 9
 
0.3%
03329 9
 
0.3%
131859 9
 
0.3%
03330 8
 
0.3%
131816 8
 
0.3%
04760 8
 
0.3%
08223 8
 
0.3%
Other values (1776) 2911
97.0%
2024-05-11T17:00:10.307428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3667
23.8%
1 1833
11.9%
3 1758
11.4%
5 1379
 
8.9%
8 1332
 
8.6%
2 1323
 
8.6%
7 1198
 
7.8%
4 1086
 
7.0%
6 1061
 
6.9%
9 788
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15425
99.9%
Dash Punctuation 12
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3667
23.8%
1 1833
11.9%
3 1758
11.4%
5 1379
 
8.9%
8 1332
 
8.6%
2 1323
 
8.6%
7 1198
 
7.8%
4 1086
 
7.0%
6 1061
 
6.9%
9 788
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15437
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3667
23.8%
1 1833
11.9%
3 1758
11.4%
5 1379
 
8.9%
8 1332
 
8.6%
2 1323
 
8.6%
7 1198
 
7.8%
4 1086
 
7.0%
6 1061
 
6.9%
9 788
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15437
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3667
23.8%
1 1833
11.9%
3 1758
11.4%
5 1379
 
8.9%
8 1332
 
8.6%
2 1323
 
8.6%
7 1198
 
7.8%
4 1086
 
7.0%
6 1061
 
6.9%
9 788
 
5.1%

사업장명
Text

Distinct5202
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T17:00:10.660836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length30
Mean length5.2154
Min length1

Characters and Unicode

Total characters52154
Distinct characters775
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3960 ?
Unique (%)39.6%

Sample

1st row골드당구장 (1008)
2nd row금강
3rd row해오름당구장
4th row원당구장
5th row갤러리 당구장
ValueCountFrequency (%)
당구장 947
 
8.0%
당구클럽 347
 
2.9%
그린당구장 59
 
0.5%
프로당구장 58
 
0.5%
킹당구장 54
 
0.5%
큐 54
 
0.5%
큐당구장 49
 
0.4%
현대당구장 49
 
0.4%
스타당구장 46
 
0.4%
프로 46
 
0.4%
Other values (4848) 10064
85.5%
2024-05-11T17:00:11.156591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 6922
 
13.3%
당 6811
 
13.1%
장 5560
 
10.7%
1780
 
3.4%
럽 1237
 
2.4%
클 1220
 
2.3%
스 1066
 
2.0%
리 643
 
1.2%
이 634
 
1.2%
( 582
 
1.1%
Other values (765) 25699
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43854
84.1%
Decimal Number 2577
 
4.9%
Uppercase Letter 1876
 
3.6%
Space Separator 1780
 
3.4%
Lowercase Letter 593
 
1.1%
Open Punctuation 588
 
1.1%
Close Punctuation 588
 
1.1%
Other Punctuation 252
 
0.5%
Dash Punctuation 34
 
0.1%
Math Symbol 10
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 6922
 
15.8%
당 6811
 
15.5%
장 5560
 
12.7%
럽 1237
 
2.8%
클 1220
 
2.8%
스 1066
 
2.4%
리 643
 
1.5%
이 634
 
1.4%
아 513
 
1.2%
드 468
 
1.1%
Other values (685) 18780
42.8%
Uppercase Letter
ValueCountFrequency (%)
S 296
15.8%
B 288
15.4%
C 117
 
6.2%
A 100
 
5.3%
P 99
 
5.3%
K 96
 
5.1%
I 95
 
5.1%
M 93
 
5.0%
J 83
 
4.4%
L 79
 
4.2%
Other values (16) 530
28.3%
Lowercase Letter
ValueCountFrequency (%)
l 95
16.0%
i 65
11.0%
s 62
10.5%
a 50
8.4%
b 46
7.8%
e 45
7.6%
r 43
7.3%
o 30
 
5.1%
d 29
 
4.9%
u 27
 
4.6%
Other values (15) 101
17.0%
Decimal Number
ValueCountFrequency (%)
1 530
20.6%
2 438
17.0%
0 373
14.5%
8 202
 
7.8%
4 197
 
7.6%
9 184
 
7.1%
5 184
 
7.1%
7 169
 
6.6%
3 160
 
6.2%
6 140
 
5.4%
Other Punctuation
ValueCountFrequency (%)
. 199
79.0%
& 25
 
9.9%
' 12
 
4.8%
: 5
 
2.0%
, 4
 
1.6%
? 2
 
0.8%
# 2
 
0.8%
! 1
 
0.4%
． 1
 
0.4%
/ 1
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 582
99.0%
[ 6
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 582
99.0%
] 6
 
1.0%
Space Separator
ValueCountFrequency (%)
1780
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Math Symbol
ValueCountFrequency (%)
+ 10
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Other Number
ValueCountFrequency (%)
₂ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 43846
84.1%
Common 5830
 
11.2%
Latin 2470
 
4.7%
Han 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 6922
 
15.8%
당 6811
 
15.5%
장 5560
 
12.7%
럽 1237
 
2.8%
클 1220
 
2.8%
스 1066
 
2.4%
리 643
 
1.5%
이 634
 
1.4%
아 513
 
1.2%
드 468
 
1.1%
Other values (677) 18772
42.8%
Latin
ValueCountFrequency (%)
S 296
 
12.0%
B 288
 
11.7%
C 117
 
4.7%
A 100
 
4.0%
P 99
 
4.0%
K 96
 
3.9%
l 95
 
3.8%
I 95
 
3.8%
M 93
 
3.8%
J 83
 
3.4%
Other values (42) 1108
44.9%
Common
ValueCountFrequency (%)
1780
30.5%
( 582
 
10.0%
) 582
 
10.0%
1 530
 
9.1%
2 438
 
7.5%
0 373
 
6.4%
8 202
 
3.5%
. 199
 
3.4%
4 197
 
3.4%
9 184
 
3.2%
Other values (18) 763
13.1%
Han
ValueCountFrequency (%)
成 1
12.5%
溱 1
12.5%
球 1
12.5%
思 1
12.5%
源 1
12.5%
撞 1
12.5%
休 1
12.5%
秀 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43846
84.1%
ASCII 8297
 
15.9%
CJK 8
 
< 0.1%
None 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 6922
 
15.8%
당 6811
 
15.5%
장 5560
 
12.7%
럽 1237
 
2.8%
클 1220
 
2.8%
스 1066
 
2.4%
리 643
 
1.5%
이 634
 
1.4%
아 513
 
1.2%
드 468
 
1.1%
Other values (677) 18772
42.8%
ASCII
ValueCountFrequency (%)
1780
21.5%
( 582
 
7.0%
) 582
 
7.0%
1 530
 
6.4%
2 438
 
5.3%
0 373
 
4.5%
S 296
 
3.6%
B 288
 
3.5%
8 202
 
2.4%
. 199
 
2.4%
Other values (67) 3027
36.5%
CJK
ValueCountFrequency (%)
成 1
12.5%
溱 1
12.5%
球 1
12.5%
思 1
12.5%
源 1
12.5%
撞 1
12.5%
休 1
12.5%
秀 1
12.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
None
ValueCountFrequency (%)
． 1
50.0%
₂ 1
50.0%

최종수정일자
Date

Distinct7132
Distinct (%)71.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2002-10-22 17:59:13
Maximum2024-05-09 14:18:30
2024-05-11T17:00:11.314982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:00:11.482774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
7069 
U
2931 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 7069
70.7%
U 2931
29.3%

Length

2024-05-11T17:00:11.642283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:00:11.751446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 7069
70.7%
u 2931
29.3%

데이터갱신일자
Date

Distinct1071
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T17:00:11.859463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:00:12.018090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct7919
Distinct (%)82.6%
Missing418
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean199555.13
Minimum182735.79
Maximum215641.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T17:00:12.188185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182735.79
5-th percentile186781
Q1192950.83
median201033.44
Q3205301.04
95-th percentile211393.4
Maximum215641.49
Range32905.708
Interquartile range (IQR)12350.205

Descriptive statistics

Standard deviation7456.9379
Coefficient of variation (CV)0.037367808
Kurtosis-0.93926401
Mean199555.13
Median Absolute Deviation (MAD)6006.5784
Skewness-0.15344433
Sum1.9121373 × 109
Variance55605922
MonotonicityNot monotonic
2024-05-11T17:00:12.344829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200554.74395758 6
 
0.1%
192845.044379709 6
 
0.1%
191226.287379467 5
 
0.1%
201713.050201227 5
 
0.1%
189967.513003627 5
 
0.1%
203001.624436635 5
 
0.1%
202835.566217097 5
 
0.1%
210442.413455881 5
 
0.1%
198596.089308222 4
 
< 0.1%
208994.017991356 4
 
< 0.1%
Other values (7909) 9532
95.3%
(Missing) 418
 
4.2%
ValueCountFrequency (%)
182735.786874703 1
< 0.1%
182794.441839414 1
< 0.1%
182846.62641593 1
< 0.1%
182867.043235833 1
< 0.1%
182924.505322144 1
< 0.1%
183095.853129506 1
< 0.1%
183117.281621173 1
< 0.1%
183137.394065893 1
< 0.1%
183147.775733197 1
< 0.1%
183151.921822668 1
< 0.1%
ValueCountFrequency (%)
215641.494731111 1
< 0.1%
215426.028109 1
< 0.1%
215289.815449411 1
< 0.1%
215257.067935 1
< 0.1%
215205.312340831 1
< 0.1%
215188.912927145 2
< 0.1%
215180.740928833 2
< 0.1%
215162.624131128 1
< 0.1%
215107.512414492 2
< 0.1%
215082.338575095 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct7920
Distinct (%)82.7%
Missing418
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean449375.36
Minimum436909.87
Maximum464751.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T17:00:12.499963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum436909.87
5-th percentile441613.47
Q1444715.27
median449115.02
Q3452953.75
95-th percentile459956.79
Maximum464751.48
Range27841.612
Interquartile range (IQR)8238.4792

Descriptive statistics

Standard deviation5598.9255
Coefficient of variation (CV)0.012459351
Kurtosis-0.46651563
Mean449375.36
Median Absolute Deviation (MAD)4217.5035
Skewness0.4285886
Sum4.3059147 × 109
Variance31347967
MonotonicityNot monotonic
2024-05-11T17:00:12.642327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
444811.364826199 6
 
0.1%
457412.609904875 6
 
0.1%
458135.131486746 5
 
0.1%
442304.502550047 5
 
0.1%
460552.440130588 5
 
0.1%
437914.06299827 5
 
0.1%
460292.656640149 5
 
0.1%
440792.907332437 5
 
0.1%
441090.962986514 4
 
< 0.1%
444950.288061059 4
 
< 0.1%
Other values (7910) 9532
95.3%
(Missing) 418
 
4.2%
ValueCountFrequency (%)
436909.870493711 1
 
< 0.1%
437653.308606196 1
 
< 0.1%
437686.335605306 1
 
< 0.1%
437689.38449215 1
 
< 0.1%
437792.713058127 1
 
< 0.1%
437837.013452791 2
 
< 0.1%
437901.086256157 1
 
< 0.1%
437914.06299827 5
0.1%
438307.022609784 1
 
< 0.1%
438365.613175801 1
 
< 0.1%
ValueCountFrequency (%)
464751.482559612 1
< 0.1%
464667.465658621 2
< 0.1%
464658.738296582 1
< 0.1%
464638.133327247 2
< 0.1%
464606.294620828 1
< 0.1%
464603.47362958 1
< 0.1%
464592.19632957 1
< 0.1%
464506.57559769 1
< 0.1%
464481.425195215 1
< 0.1%
464401.367616279 1
< 0.1%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
당구장업
8980 
<NA>
1020 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
당구장업 8980
89.8%
<NA> 1020
 
10.2%

Length

2024-05-11T17:00:12.783902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:00:12.877063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 8980
89.8%
na 1020
 
10.2%

공사립구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
사립
8977 
<NA>
1020 
공립
 
3

Length

Max length4
Median length2
Mean length2.204
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 8977
89.8%
<NA> 1020
 
10.2%
공립 3
 
< 0.1%

Length

2024-05-11T17:00:13.002925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:00:13.127068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 8977
89.8%
na 1020
 
10.2%
공립 3
 
< 0.1%

보험가입여부코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8291 
0
1701 
Y
 
6
1
 
2

Length

Max length4
Median length4
Mean length3.4873
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> 8291
82.9%
0 1701
 
17.0%
Y 6
 
0.1%
1 2
 
< 0.1%

Length

2024-05-11T17:00:13.242657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:00:13.369933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8291
82.9%
0 1701
 
17.0%
y 6
 
0.1%
1 2
 
< 0.1%

지도자수
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6614 
0
3385 
1
 
1

Length

Max length4
Median length4
Mean length2.9842
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6614
66.1%
0 3385
33.9%
1 1
 
< 0.1%

Length

2024-05-11T17:00:13.498263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:00:13.611520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6614
66.1%
0 3385
33.9%
1 1
 
< 0.1%

건축물동수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)0.2%
Missing5564
Missing (%)55.6%
Infinite0
Infinite (%)0.0%
Mean0.12195672
Minimum0
Maximum10
Zeros3933
Zeros (%)39.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T17:00:13.726947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.39415728
Coefficient of variation (CV)3.231944
Kurtosis126.79744
Mean0.12195672
Median Absolute Deviation (MAD)0
Skewness7.4665086
Sum541
Variance0.15535996
MonotonicityNot monotonic
2024-05-11T17:00:14.173481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 3933
39.3%
1 489
 
4.9%
3 5
 
0.1%
2 5
 
0.1%
4 1
 
< 0.1%
10 1
 
< 0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
(Missing) 5564
55.6%
ValueCountFrequency (%)
0 3933
39.3%
1 489
 
4.9%
2 5
 
0.1%
3 5
 
0.1%
4 1
 
< 0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
10 1
 
< 0.1%
7 1
 
< 0.1%
6 1
 
< 0.1%
4 1
 
< 0.1%
3 5
 
0.1%
2 5
 
0.1%
1 489
 
4.9%
0 3933
39.3%

건축물연면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct1194
Distinct (%)23.5%
Missing4916
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean902.28231
Minimum0
Maximum308702.89
Zeros3829
Zeros (%)38.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T17:00:14.310475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2194.4775
Maximum308702.89
Range308702.89
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7464.0832
Coefficient of variation (CV)8.2724478
Kurtosis731.80713
Mean902.28231
Median Absolute Deviation (MAD)0
Skewness23.039675
Sum4587203.2
Variance55712538
MonotonicityNot monotonic
2024-05-11T17:00:14.491804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 3829
38.3%
565.0 3
 
< 0.1%
165.0 3
 
< 0.1%
848.26 3
 
< 0.1%
68636.41 3
 
< 0.1%
1913.65 2
 
< 0.1%
654.0 2
 
< 0.1%
1052.7 2
 
< 0.1%
1986.12 2
 
< 0.1%
1462.19 2
 
< 0.1%
Other values (1184) 1233
 
12.3%
(Missing) 4916
49.2%
ValueCountFrequency (%)
0.0 3829
38.3%
33.07 1
 
< 0.1%
64.1 1
 
< 0.1%
66.94 1
 
< 0.1%
78.7 1
 
< 0.1%
81.2 1
 
< 0.1%
81.5 1
 
< 0.1%
85.1 1
 
< 0.1%
90.35 1
 
< 0.1%
95.75 1
 
< 0.1%
ValueCountFrequency (%)
308702.89 1
< 0.1%
190392.75 1
< 0.1%
140937.0 1
< 0.1%
132407.0 1
< 0.1%
119537.75 1
< 0.1%
99647.41 1
< 0.1%
93582.05 1
< 0.1%
80629.46 1
< 0.1%
76574.42 1
< 0.1%
74379.84 1
< 0.1%

회원모집총인원
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)3.4%
Missing9733
Missing (%)97.3%
Infinite0
Infinite (%)0.0%
Mean64.883895
Minimum0
Maximum16264
Zeros240
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T17:00:14.619570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile37
Maximum16264
Range16264
Interquartile range (IQR)0

Descriptive statistics

Standard deviation995.2006
Coefficient of variation (CV)15.338176
Kurtosis266.88732
Mean64.883895
Median Absolute Deviation (MAD)0
Skewness16.334995
Sum17324
Variance990424.24
MonotonicityNot monotonic
2024-05-11T17:00:14.745728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 240
 
2.4%
50 7
 
0.1%
20 5
 
0.1%
30 4
 
< 0.1%
40 3
 
< 0.1%
100 3
 
< 0.1%
15 3
 
< 0.1%
16264 1
 
< 0.1%
25 1
 
< 0.1%
(Missing) 9733
97.3%
ValueCountFrequency (%)
0 240
2.4%
15 3
 
< 0.1%
20 5
 
0.1%
25 1
 
< 0.1%
30 4
 
< 0.1%
40 3
 
< 0.1%
50 7
 
0.1%
100 3
 
< 0.1%
16264 1
 
< 0.1%
ValueCountFrequency (%)
16264 1
 
< 0.1%
100 3
 
< 0.1%
50 7
 
0.1%
40 3
 
< 0.1%
30 4
 
< 0.1%
25 1
 
< 0.1%
20 5
 
0.1%
15 3
 
< 0.1%
0 240
2.4%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
110943220000CDFH330108200600001220061115<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>135516서울특별시 강남구 일원동 685-7서울특별시 강남구 양재대로27길 6 (일원동)<NA>골드당구장 (1008)2021-12-08 08:52:32U2021-12-10 02:40:00.0<NA>207183.173812443046.552352당구장업사립<NA>000.00<NA><NA>
6113000000CDFH330108199600001319960321<NA>3폐업3폐업19970520<NA><NA><NA><NA><NA>110070서울특별시 종로구 내수동 10-2번지<NA><NA>금강2003-02-07 09:11:15I2018-08-31 23:59:59.0<NA><NA><NA>당구장업사립<NA>000.0<NA><NA><NA>
45023080000CDFH330108200400000120040120<NA>3폐업3폐업20041207<NA><NA><NA><NA><NA>142804서울특별시 강북구 미아동 42-74번지서울특별시 강북구 월계로3길 26 (미아동)<NA>해오름당구장2013-09-02 13:47:23I2018-08-31 23:59:59.0<NA>202703.011903456502.936579당구장업사립<NA><NA>1441.15<NA><NA><NA>
9503000000CDFH330108200100001820010720<NA>3폐업3폐업20011226<NA><NA><NA><NA><NA>110045서울특별시 종로구 체부동 20-0번지서울특별시 종로구 자하문로7길 15 (체부동)<NA>원당구장2003-02-07 09:11:15I2018-08-31 23:59:59.0<NA>197348.054135452906.729192당구장업사립<NA>000.0<NA><NA><NA>
74663150000CDFH330108201400000320140707<NA>4취소/말소/만료/정지/중지35직권말소20201106<NA><NA><NA><NA><NA>157801서울특별시 강서구 가양동 131-4서울특별시 강서구 양천로 360, 2층 (가양동)07573갤러리 당구장2020-11-06 10:40:48U2020-11-08 02:40:00.0<NA>185993.853911451719.56017당구장업사립<NA><NA><NA>519.49<NA><NA><NA>
18823020000CDFH330108199700000619970425<NA>3폐업3폐업20010814<NA><NA><NA><NA><NA>140850서울특별시 용산구 원효로4가 117-7번지 2층서울특별시 용산구 원효로 75 (원효로4가,2층)<NA>산호당구장2003-02-06 13:06:27I2018-08-31 23:59:59.0<NA>195709.343126447834.255622당구장업사립<NA>000.0<NA><NA><NA>
30133050000CDFH330108200700000820070608<NA>3폐업3폐업20070927<NA><NA><NA>2241-9217<NA>130804서울특별시 동대문구 답십리동 465-137번지서울특별시 동대문구 천호대로 231 (답십리동)<NA>세븐당구클럽2007-11-19 14:19:37I2018-08-31 23:59:59.0<NA>204209.857554452014.552198당구장업사립0<NA><NA><NA><NA><NA><NA>
25293040000CDFH330108200900000320090318<NA>3폐업3폐업20121002<NA><NA><NA><NA><NA>143918서울특별시 광진구 구의동 244-50번지 3층<NA><NA>JJ Billiard Club2012-10-02 18:06:10I2018-08-31 23:59:59.0<NA>207822.300539448443.283776당구장업사립<NA><NA><NA><NA><NA><NA><NA>
43653080000CDFH330108199900001719990310<NA>3폐업3폐업19990910<NA><NA><NA>989-4281<NA>142805서울특별시 강북구 미아동 415-5번지서울특별시 강북구 솔샘로64길 2 (미아동)<NA>샛별당구장2003-04-17 19:37:24I2018-08-31 23:59:59.0<NA>202334.871504457181.962455당구장업사립<NA>000.0<NA><NA><NA>
40703070000CDFH330108198900004719891222<NA>3폐업3폐업20111004<NA><NA><NA>922-1141<NA>136033서울특별시 성북구 동소문동3가 82-0번지서울특별시 성북구 보문로39길 4 (동소문동3가)<NA>유성당구장2011-10-04 14:49:34I2018-08-31 23:59:59.0<NA>201100.176154454345.995805당구장업사립<NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
112693230000CDFH330108199800002519981015<NA>3폐업3폐업20000101<NA><NA><NA><NA><NA>138837서울특별시 송파구 삼전동 7-9번지서울특별시 송파구 백제고분로 203 (삼전동)<NA>에게인당구장2005-12-23 14:28:22I2018-08-31 23:59:59.0<NA>207835.064427444668.856223당구장업사립0<NA><NA><NA><NA><NA><NA>
108823220000CDFH330108199800010319981202<NA>3폐업3폐업20201202<NA><NA><NA><NA><NA>135822서울특별시 강남구 논현동 122-10 해성빌딩 2층서울특별시 강남구 학동로6길 10 (논현동,해성빌딩 2층)<NA>약속(813)2020-12-07 15:53:35U2020-12-09 02:40:00.0<NA>202024.670822445421.162499당구장업사립<NA><NA><NA><NA><NA><NA><NA>
104083210000CDFH330108200000003220000710<NA>1영업/정상13영업중<NA><NA><NA><NA>536-8254<NA>137885서울특별시 서초구 서초동 1713-4번지 지하202서울특별시 서초구 법원로2길 15 (서초동,지하202)<NA>베스트빌리아드2020-04-06 19:35:51U2020-04-08 02:40:00.0<NA>201039.88454443561.059287당구장업사립<NA><NA>00.0<NA><NA><NA>
71203150000CDFH330108199800001519980618<NA>3폐업3폐업20000120<NA><NA><NA>698-9053<NA>157010서울특별시 강서구 화곡동 1105-5번지 ,6서울특별시 강서구 화곡로 313 (화곡동,,6)<NA>채플린당구장2003-04-18 11:50:37I2018-08-31 23:59:59.0<NA>186651.025909450017.832512당구장업사립<NA>000.0<NA><NA><NA>
85393180000CDFH330108200000001220000614<NA>3폐업3폐업20190111<NA><NA><NA>831-3072<NA>150849서울특별시 영등포구 신길동 355-497번지서울특별시 영등포구 도림로 289 (신길동)<NA>세림당구장2019-01-14 16:06:43U2019-01-16 02:40:00.0<NA>191368.160609444599.501065당구장업사립<NA><NA><NA>532.22<NA><NA><NA>
43843080000CDFH330108200900002020090630<NA>3폐업3폐업20131104<NA><NA><NA><NA><NA>142878서울특별시 강북구 수유동 229-18번지서울특별시 강북구 도봉로83길 20 (수유동)<NA>포인트 당구장2013-11-22 17:34:51I2018-08-31 23:59:59.0<NA>202027.76756459486.51824당구장업사립<NA><NA><NA><NA><NA><NA><NA>
50803100000CDFH330108199500000519950421<NA>3폐업3폐업19990831<NA><NA><NA><NA><NA>139801서울특별시 노원구 공릉동 380-54번지 2층동서울특별시 노원구 동일로191가길 37, 2층동 (공릉동)<NA>제일당구장2003-02-21 10:29:10I2018-08-31 23:59:59.0<NA>206178.409988458264.971938당구장업사립<NA>000.0<NA><NA><NA>
15553010000CDFH330108199500001619950929<NA>3폐업3폐업20021230<NA><NA><NA><NA><NA>100873서울특별시 중구 회현동1가 76-5번지<NA><NA>계림당구장2004-08-24 11:56:46I2018-08-31 23:59:59.0<NA>198270.499762450625.771175당구장업사립0<NA><NA><NA><NA><NA><NA>
30093050000CDFH330108199700000819970422<NA>3폐업3폐업20170921<NA><NA><NA><NA><NA>130851서울특별시 동대문구 전농동 588-35번지서울특별시 동대문구 답십리로11길 30-23 (전농동)<NA>길손당구장2017-09-21 17:03:47I2018-08-31 23:59:59.0<NA>204028.002537453032.949366당구장업사립<NA>000.0<NA><NA><NA>
39903070000CDFH330108200200000320020219<NA>3폐업3폐업20110524<NA><NA><NA>914-9113<NA>136836서울특별시 성북구 장위동 231-33번지서울특별시 성북구 장위로 50 (장위동)<NA>왕 당구장2011-05-24 16:09:17I2018-08-31 23:59:59.0<NA>203643.978282456849.573827당구장업사립<NA><NA><NA><NA><NA><NA><NA>