Overview

Dataset statistics

Number of variables34
Number of observations438
Missing cells4603
Missing cells (%)30.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory124.6 KiB
Average record size in memory291.3 B

Variable types

Categorical12
Text6
DateTime4
Unsupported8
Numeric4

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
Author노원구
URLhttps://data.seoul.go.kr/dataList/OA-19637/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
보험가입여부코드 is highly imbalanced (56.7%)Imbalance
회원모집총인원 is highly imbalanced (84.3%)Imbalance
인허가취소일자 has 438 (100.0%) missing valuesMissing
폐업일자 has 109 (24.9%) missing valuesMissing
휴업시작일자 has 438 (100.0%) missing valuesMissing
휴업종료일자 has 438 (100.0%) missing valuesMissing
재개업일자 has 438 (100.0%) missing valuesMissing
전화번호 has 322 (73.5%) missing valuesMissing
소재지면적 has 438 (100.0%) missing valuesMissing
소재지우편번호 has 59 (13.5%) missing valuesMissing
도로명주소 has 15 (3.4%) missing valuesMissing
도로명우편번호 has 332 (75.8%) missing valuesMissing
업태구분명 has 438 (100.0%) missing valuesMissing
좌표정보(X) has 8 (1.8%) missing valuesMissing
좌표정보(Y) has 8 (1.8%) missing valuesMissing
건축물연면적 has 246 (56.2%) missing valuesMissing
세부업종명 has 438 (100.0%) missing valuesMissing
법인명 has 438 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
세부업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
법인명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축물연면적 has 177 (40.4%) zerosZeros

Reproduction

Analysis started2024-05-11 05:42:26.020824
Analysis finished2024-05-11 05:42:27.809159
Duration1.79 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
3100000
438 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3100000
2nd row3100000
3rd row3100000
4th row3100000
5th row3100000

Common Values

ValueCountFrequency (%)
3100000 438
100.0%

Length

2024-05-11T05:42:28.137715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:42:28.486097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3100000 438
100.0%

관리번호
Text

UNIQUE 

Distinct438
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-05-11T05:42:29.120335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters8760
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

Unique438 ?
Unique (%)100.0%

Sample

1st rowCDFH3301081989000003
2nd rowCDFH3301081989000004
3rd rowCDFH3301081989000005
4th rowCDFH3301081990000001
5th rowCDFH3301081990000002
ValueCountFrequency (%)
cdfh3301081989000003 1
 
0.2%
cdfh3301082007000012 1
 
0.2%
cdfh3301082008000008 1
 
0.2%
cdfh3301082008000007 1
 
0.2%
cdfh3301082008000006 1
 
0.2%
cdfh3301082008000005 1
 
0.2%
cdfh3301082008000004 1
 
0.2%
cdfh3301082008000003 1
 
0.2%
cdfh3301082008000002 1
 
0.2%
cdfh3301082007000016 1
 
0.2%
Other values (428) 428
97.7%
2024-05-11T05:42:30.308585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3330
38.0%
3 979
 
11.2%
1 884
 
10.1%
8 534
 
6.1%
9 447
 
5.1%
2 446
 
5.1%
C 438
 
5.0%
D 438
 
5.0%
F 438
 
5.0%
H 438
 
5.0%
Other values (4) 388
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7008
80.0%
Uppercase Letter 1752
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3330
47.5%
3 979
 
14.0%
1 884
 
12.6%
8 534
 
7.6%
9 447
 
6.4%
2 446
 
6.4%
7 109
 
1.6%
5 102
 
1.5%
6 91
 
1.3%
4 86
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
C 438
25.0%
D 438
25.0%
F 438
25.0%
H 438
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7008
80.0%
Latin 1752
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3330
47.5%
3 979
 
14.0%
1 884
 
12.6%
8 534
 
7.6%
9 447
 
6.4%
2 446
 
6.4%
7 109
 
1.6%
5 102
 
1.5%
6 91
 
1.3%
4 86
 
1.2%
Latin
ValueCountFrequency (%)
C 438
25.0%
D 438
25.0%
F 438
25.0%
H 438
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8760
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3330
38.0%
3 979
 
11.2%
1 884
 
10.1%
8 534
 
6.1%
9 447
 
5.1%
2 446
 
5.1%
C 438
 
5.0%
D 438
 
5.0%
F 438
 
5.0%
H 438
 
5.0%
Other values (4) 388
 
4.4%

인허가일자
Date

Distinct403
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
Minimum1989-12-01 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T05:42:30.945292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:42:31.706420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing438
Missing (%)100.0%
Memory size4.0 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
3
289 
1
109 
4
40 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 289
66.0%
1 109
 
24.9%
4 40
 
9.1%

Length

2024-05-11T05:42:32.248814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:42:32.602808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 289
66.0%
1 109
 
24.9%
4 40
 
9.1%

영업상태명
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
폐업
289 
영업/정상
109 
취소/말소/만료/정지/중지
40 

Length

Max length14
Median length2
Mean length3.8424658
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 289
66.0%
영업/정상 109
 
24.9%
취소/말소/만료/정지/중지 40
 
9.1%

Length

2024-05-11T05:42:33.247745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:42:33.909319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 289
66.0%
영업/정상 109
 
24.9%
취소/말소/만료/정지/중지 40
 
9.1%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
3
289 
13
109 
35
40 

Length

Max length2
Median length1
Mean length1.3401826
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 289
66.0%
13 109
 
24.9%
35 40
 
9.1%

Length

2024-05-11T05:42:34.402294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:42:34.889966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 289
66.0%
13 109
 
24.9%
35 40
 
9.1%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
폐업
289 
영업중
109 
직권말소
40 

Length

Max length4
Median length2
Mean length2.4315068
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 289
66.0%
영업중 109
 
24.9%
직권말소 40
 
9.1%

Length

2024-05-11T05:42:35.604376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:42:36.201780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 289
66.0%
영업중 109
 
24.9%
직권말소 40
 
9.1%

폐업일자
Date

MISSING 

Distinct215
Distinct (%)65.3%
Missing109
Missing (%)24.9%
Memory size3.6 KiB
Minimum1997-05-26 00:00:00
Maximum2024-03-19 00:00:00
2024-05-11T05:42:36.606806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:42:37.156415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing438
Missing (%)100.0%
Memory size4.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing438
Missing (%)100.0%
Memory size4.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing438
Missing (%)100.0%
Memory size4.0 KiB

전화번호
Text

MISSING 

Distinct113
Distinct (%)97.4%
Missing322
Missing (%)73.5%
Memory size3.6 KiB
2024-05-11T05:42:37.973138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.715517
Min length8

Characters and Unicode

Total characters1243
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

Unique110 ?
Unique (%)94.8%

Sample

1st row02-917-7636
2nd row02-934-9050
3rd row02-951-2983
4th row070-4503-1539
5th row02-915-8258
ValueCountFrequency (%)
02-999-9018 2
 
1.7%
02-943-3949 2
 
1.7%
939-8447 2
 
1.7%
02-936-1210 1
 
0.9%
933-8075 1
 
0.9%
3391-9080 1
 
0.9%
02-6326-7474 1
 
0.9%
02-3391-2982 1
 
0.9%
02-933-3640 1
 
0.9%
02-905-3822 1
 
0.9%
Other values (103) 103
88.8%
2024-05-11T05:42:39.376291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 214
17.2%
9 194
15.6%
0 163
13.1%
2 155
12.5%
3 114
9.2%
8 81
 
6.5%
4 79
 
6.4%
7 74
 
6.0%
5 59
 
4.7%
1 55
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1029
82.8%
Dash Punctuation 214
 
17.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 194
18.9%
0 163
15.8%
2 155
15.1%
3 114
11.1%
8 81
7.9%
4 79
7.7%
7 74
 
7.2%
5 59
 
5.7%
1 55
 
5.3%
6 55
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 214
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1243
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 214
17.2%
9 194
15.6%
0 163
13.1%
2 155
12.5%
3 114
9.2%
8 81
 
6.5%
4 79
 
6.4%
7 74
 
6.0%
5 59
 
4.7%
1 55
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1243
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 214
17.2%
9 194
15.6%
0 163
13.1%
2 155
12.5%
3 114
9.2%
8 81
 
6.5%
4 79
 
6.4%
7 74
 
6.0%
5 59
 
4.7%
1 55
 
4.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing438
Missing (%)100.0%
Memory size4.0 KiB

소재지우편번호
Text

MISSING 

Distinct80
Distinct (%)21.1%
Missing59
Missing (%)13.5%
Memory size3.6 KiB
2024-05-11T05:42:40.015735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0343008
Min length6

Characters and Unicode

Total characters2287
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

Unique28 ?
Unique (%)7.4%

Sample

1st row139818
2nd row139810
3rd row139815
4th row139816
5th row139809
ValueCountFrequency (%)
139816 25
 
6.6%
139821 23
 
6.1%
139846 22
 
5.8%
139856 17
 
4.5%
139810 16
 
4.2%
139804 14
 
3.7%
139807 13
 
3.4%
139801 10
 
2.6%
139841 10
 
2.6%
139845 10
 
2.6%
Other values (70) 219
57.8%
2024-05-11T05:42:41.366710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 532
23.3%
3 450
19.7%
9 400
17.5%
8 363
15.9%
0 134
 
5.9%
4 98
 
4.3%
2 94
 
4.1%
6 91
 
4.0%
5 58
 
2.5%
7 54
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2274
99.4%
Dash Punctuation 13
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 532
23.4%
3 450
19.8%
9 400
17.6%
8 363
16.0%
0 134
 
5.9%
4 98
 
4.3%
2 94
 
4.1%
6 91
 
4.0%
5 58
 
2.6%
7 54
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2287
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 532
23.3%
3 450
19.7%
9 400
17.5%
8 363
15.9%
0 134
 
5.9%
4 98
 
4.3%
2 94
 
4.1%
6 91
 
4.0%
5 58
 
2.5%
7 54
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2287
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 532
23.3%
3 450
19.7%
9 400
17.5%
8 363
15.9%
0 134
 
5.9%
4 98
 
4.3%
2 94
 
4.1%
6 91
 
4.0%
5 58
 
2.5%
7 54
 
2.4%

지번주소
Text

Distinct422
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-05-11T05:42:42.087338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length40
Mean length26.305936
Min length17

Characters and Unicode

Total characters11522
Distinct characters151
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique407 ?
Unique (%)92.9%

Sample

1st row서울특별시 노원구 상계동 389-351번지 2층
2nd row서울특별시 노원구 상계동 101-37번지
3rd row서울특별시 노원구 상계동 169-31번지 3층동
4th row서울특별시 노원구 상계동 179-4번지
5th row서울특별시 노원구 상계동 51-2번지 3층
ValueCountFrequency (%)
서울특별시 438
20.0%
노원구 438
20.0%
상계동 211
 
9.6%
공릉동 90
 
4.1%
월계동 81
 
3.7%
3층 72
 
3.3%
2층 52
 
2.4%
중계동 51
 
2.3%
지층 46
 
2.1%
4층 21
 
1.0%
Other values (528) 695
31.7%
2024-05-11T05:42:43.270649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2139
 
18.6%
동 468
 
4.1%
구 444
 
3.9%
원 443
 
3.8%
노 440
 
3.8%
울 438
 
3.8%
서 438
 
3.8%
시 438
 
3.8%
별 438
 
3.8%
특 438
 
3.8%
Other values (141) 5398
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6423
55.7%
Decimal Number 2421
 
21.0%
Space Separator 2139
 
18.6%
Dash Punctuation 404
 
3.5%
Other Punctuation 43
 
0.4%
Close Punctuation 37
 
0.3%
Open Punctuation 36
 
0.3%
Uppercase Letter 12
 
0.1%
Lowercase Letter 6
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 468
 
7.3%
구 444
 
6.9%
원 443
 
6.9%
노 440
 
6.9%
울 438
 
6.8%
서 438
 
6.8%
시 438
 
6.8%
별 438
 
6.8%
특 438
 
6.8%
지 437
 
6.8%
Other values (119) 2001
31.2%
Decimal Number
ValueCountFrequency (%)
1 436
18.0%
3 387
16.0%
2 306
12.6%
4 266
11.0%
5 238
9.8%
6 214
8.8%
0 166
 
6.9%
9 148
 
6.1%
7 147
 
6.1%
8 113
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 35
81.4%
. 5
 
11.6%
@ 2
 
4.7%
: 1
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
B 9
75.0%
A 3
 
25.0%
Space Separator
ValueCountFrequency (%)
2139
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 404
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6423
55.7%
Common 5081
44.1%
Latin 18
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 468
 
7.3%
구 444
 
6.9%
원 443
 
6.9%
노 440
 
6.9%
울 438
 
6.8%
서 438
 
6.8%
시 438
 
6.8%
별 438
 
6.8%
특 438
 
6.8%
지 437
 
6.8%
Other values (119) 2001
31.2%
Common
ValueCountFrequency (%)
2139
42.1%
1 436
 
8.6%
- 404
 
8.0%
3 387
 
7.6%
2 306
 
6.0%
4 266
 
5.2%
5 238
 
4.7%
6 214
 
4.2%
0 166
 
3.3%
9 148
 
2.9%
Other values (9) 377
 
7.4%
Latin
ValueCountFrequency (%)
B 9
50.0%
m 6
33.3%
A 3
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6423
55.7%
ASCII 5099
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2139
41.9%
1 436
 
8.6%
- 404
 
7.9%
3 387
 
7.6%
2 306
 
6.0%
4 266
 
5.2%
5 238
 
4.7%
6 214
 
4.2%
0 166
 
3.3%
9 148
 
2.9%
Other values (12) 395
 
7.7%
Hangul
ValueCountFrequency (%)
동 468
 
7.3%
구 444
 
6.9%
원 443
 
6.9%
노 440
 
6.9%
울 438
 
6.8%
서 438
 
6.8%
시 438
 
6.8%
별 438
 
6.8%
특 438
 
6.8%
지 437
 
6.8%
Other values (119) 2001
31.2%

도로명주소
Text

MISSING 

Distinct411
Distinct (%)97.2%
Missing15
Missing (%)3.4%
Memory size3.6 KiB
2024-05-11T05:42:44.130671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length44
Mean length30.408983
Min length22

Characters and Unicode

Total characters12863
Distinct characters169
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique399 ?
Unique (%)94.3%

Sample

1st row서울특별시 노원구 한글비석로 401, 3층동 (상계동)
2nd row서울특별시 노원구 상계로12길 56 (상계동)
3rd row서울특별시 노원구 덕릉로 843 (상계동,3층)
4th row서울특별시 노원구 동일로 1053 (공릉동)
5th row서울특별시 노원구 상계로23다길 18 (상계동)
ValueCountFrequency (%)
서울특별시 423
 
18.0%
노원구 423
 
18.0%
상계동 82
 
3.5%
동일로 60
 
2.6%
공릉동 48
 
2.0%
한글비석로 28
 
1.2%
상계로 28
 
1.2%
상계동,3층 27
 
1.2%
월계동 26
 
1.1%
공릉로 23
 
1.0%
Other values (543) 1178
50.2%
2024-05-11T05:42:45.596284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2177
 
16.9%
동 577
 
4.5%
( 454
 
3.5%
) 454
 
3.5%
계 454
 
3.5%
노 454
 
3.5%
1 442
 
3.4%
원 432
 
3.4%
구 425
 
3.3%
서 424
 
3.3%
Other values (159) 6570
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7221
56.1%
Space Separator 2177
 
16.9%
Decimal Number 2082
 
16.2%
Open Punctuation 454
 
3.5%
Close Punctuation 454
 
3.5%
Other Punctuation 404
 
3.1%
Dash Punctuation 52
 
0.4%
Uppercase Letter 12
 
0.1%
Lowercase Letter 6
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 577
 
8.0%
계 454
 
6.3%
노 454
 
6.3%
원 432
 
6.0%
구 425
 
5.9%
서 424
 
5.9%
시 423
 
5.9%
로 423
 
5.9%
별 423
 
5.9%
울 423
 
5.9%
Other values (137) 2763
38.3%
Decimal Number
ValueCountFrequency (%)
1 442
21.2%
2 338
16.2%
3 318
15.3%
4 208
10.0%
0 181
8.7%
5 172
 
8.3%
6 109
 
5.2%
7 107
 
5.1%
9 105
 
5.0%
8 102
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 396
98.0%
. 5
 
1.2%
@ 2
 
0.5%
: 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
B 10
83.3%
A 2
 
16.7%
Space Separator
ValueCountFrequency (%)
2177
100.0%
Open Punctuation
ValueCountFrequency (%)
( 454
100.0%
Close Punctuation
ValueCountFrequency (%)
) 454
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7221
56.1%
Common 5624
43.7%
Latin 18
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 577
 
8.0%
계 454
 
6.3%
노 454
 
6.3%
원 432
 
6.0%
구 425
 
5.9%
서 424
 
5.9%
시 423
 
5.9%
로 423
 
5.9%
별 423
 
5.9%
울 423
 
5.9%
Other values (137) 2763
38.3%
Common
ValueCountFrequency (%)
2177
38.7%
( 454
 
8.1%
) 454
 
8.1%
1 442
 
7.9%
, 396
 
7.0%
2 338
 
6.0%
3 318
 
5.7%
4 208
 
3.7%
0 181
 
3.2%
5 172
 
3.1%
Other values (9) 484
 
8.6%
Latin
ValueCountFrequency (%)
B 10
55.6%
m 6
33.3%
A 2
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7221
56.1%
ASCII 5642
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2177
38.6%
( 454
 
8.0%
) 454
 
8.0%
1 442
 
7.8%
, 396
 
7.0%
2 338
 
6.0%
3 318
 
5.6%
4 208
 
3.7%
0 181
 
3.2%
5 172
 
3.0%
Other values (12) 502
 
8.9%
Hangul
ValueCountFrequency (%)
동 577
 
8.0%
계 454
 
6.3%
노 454
 
6.3%
원 432
 
6.0%
구 425
 
5.9%
서 424
 
5.9%
시 423
 
5.9%
로 423
 
5.9%
별 423
 
5.9%
울 423
 
5.9%
Other values (137) 2763
38.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct65
Distinct (%)61.3%
Missing332
Missing (%)75.8%
Infinite0
Infinite (%)0.0%
Mean14756.991
Minimum1604
Maximum139856
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-05-11T05:42:46.221771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1604
5-th percentile1617.25
Q11662
median1717
Q31848
95-th percentile139814.25
Maximum139856
Range138252
Interquartile range (IQR)186

Descriptive statistics

Standard deviation40537.323
Coefficient of variation (CV)2.7469912
Kurtosis6.0414783
Mean14756.991
Median Absolute Deviation (MAD)84.5
Skewness2.815625
Sum1564241
Variance1.6432745 × 109
MonotonicityNot monotonic
2024-05-11T05:42:46.792191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1693 6
 
1.4%
1833 5
 
1.1%
1695 4
 
0.9%
1662 4
 
0.9%
1893 4
 
0.9%
1643 3
 
0.7%
1902 3
 
0.7%
1720 3
 
0.7%
1625 2
 
0.5%
1762 2
 
0.5%
Other values (55) 70
 
16.0%
(Missing) 332
75.8%
ValueCountFrequency (%)
1604 1
0.2%
1606 1
0.2%
1607 2
0.5%
1608 1
0.2%
1616 1
0.2%
1621 1
0.2%
1625 2
0.5%
1626 1
0.2%
1631 2
0.5%
1634 1
0.2%
ValueCountFrequency (%)
139856 2
0.5%
139845 1
 
0.2%
139821 1
 
0.2%
139818 1
 
0.2%
139816 1
 
0.2%
139809 1
 
0.2%
139807 1
 
0.2%
139800 1
 
0.2%
139202 1
 
0.2%
1902 3
0.7%

사업장명
Text

Distinct353
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-05-11T05:42:47.697091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length17
Mean length5.913242
Min length2

Characters and Unicode

Total characters2590
Distinct characters326
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique302 ?
Unique (%)68.9%

Sample

1st row보람당구장
2nd row귀빈당구장
3rd row오성당구장
4th row훈 당구장
5th row화랑당구장
ValueCountFrequency (%)
당구장 54
 
10.1%
당구클럽 14
 
2.6%
제일당구장 9
 
1.7%
스카이당구장 5
 
0.9%
화랑당구장 5
 
0.9%
킹당구장 5
 
0.9%
큐 4
 
0.7%
큐당구장 4
 
0.7%
현대당구장 4
 
0.7%
귀빈당구장 4
 
0.7%
Other values (356) 427
79.8%
2024-05-11T05:42:49.227107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 410
 
15.8%
당 407
 
15.7%
장 342
 
13.2%
97
 
3.7%
럽 63
 
2.4%
클 62
 
2.4%
스 44
 
1.7%
이 35
 
1.4%
리 30
 
1.2%
아 26
 
1.0%
Other values (316) 1074
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2279
88.0%
Uppercase Letter 113
 
4.4%
Space Separator 97
 
3.7%
Lowercase Letter 50
 
1.9%
Decimal Number 28
 
1.1%
Other Punctuation 17
 
0.7%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 410
18.0%
당 407
17.9%
장 342
15.0%
럽 63
 
2.8%
클 62
 
2.7%
스 44
 
1.9%
이 35
 
1.5%
리 30
 
1.3%
아 26
 
1.1%
드 19
 
0.8%
Other values (263) 841
36.9%
Uppercase Letter
ValueCountFrequency (%)
S 17
15.0%
B 16
14.2%
I 9
 
8.0%
A 8
 
7.1%
M 8
 
7.1%
L 6
 
5.3%
C 6
 
5.3%
N 6
 
5.3%
P 5
 
4.4%
K 5
 
4.4%
Other values (12) 27
23.9%
Lowercase Letter
ValueCountFrequency (%)
l 7
14.0%
a 6
12.0%
i 6
12.0%
b 5
10.0%
r 4
8.0%
s 4
8.0%
n 3
6.0%
c 3
6.0%
u 3
6.0%
m 2
 
4.0%
Other values (5) 7
14.0%
Decimal Number
ValueCountFrequency (%)
2 6
21.4%
0 5
17.9%
4 5
17.9%
1 3
10.7%
9 2
 
7.1%
3 2
 
7.1%
8 2
 
7.1%
5 1
 
3.6%
6 1
 
3.6%
7 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 14
82.4%
, 2
 
11.8%
& 1
 
5.9%
Space Separator
ValueCountFrequency (%)
97
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2279
88.0%
Latin 163
 
6.3%
Common 148
 
5.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 410
18.0%
당 407
17.9%
장 342
15.0%
럽 63
 
2.8%
클 62
 
2.7%
스 44
 
1.9%
이 35
 
1.5%
리 30
 
1.3%
아 26
 
1.1%
드 19
 
0.8%
Other values (263) 841
36.9%
Latin
ValueCountFrequency (%)
S 17
 
10.4%
B 16
 
9.8%
I 9
 
5.5%
A 8
 
4.9%
M 8
 
4.9%
l 7
 
4.3%
L 6
 
3.7%
a 6
 
3.7%
i 6
 
3.7%
C 6
 
3.7%
Other values (27) 74
45.4%
Common
ValueCountFrequency (%)
97
65.5%
. 14
 
9.5%
2 6
 
4.1%
0 5
 
3.4%
4 5
 
3.4%
) 3
 
2.0%
( 3
 
2.0%
1 3
 
2.0%
9 2
 
1.4%
3 2
 
1.4%
Other values (6) 8
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2279
88.0%
ASCII 311
 
12.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 410
18.0%
당 407
17.9%
장 342
15.0%
럽 63
 
2.8%
클 62
 
2.7%
스 44
 
1.9%
이 35
 
1.5%
리 30
 
1.3%
아 26
 
1.1%
드 19
 
0.8%
Other values (263) 841
36.9%
ASCII
ValueCountFrequency (%)
97
31.2%
S 17
 
5.5%
B 16
 
5.1%
. 14
 
4.5%
I 9
 
2.9%
A 8
 
2.6%
M 8
 
2.6%
l 7
 
2.3%
L 6
 
1.9%
a 6
 
1.9%
Other values (43) 123
39.5%

최종수정일자
Date

Distinct275
Distinct (%)62.8%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
Minimum2003-02-21 10:29:10
Maximum2024-05-09 14:10:57
2024-05-11T05:42:49.814271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:42:50.391857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
I
303 
U
135 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 303
69.2%
U 135
30.8%

Length

2024-05-11T05:42:50.978533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:42:51.333344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 303
69.2%
u 135
30.8%

데이터갱신일자
Date

Distinct107
Distinct (%)24.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:03:00
2024-05-11T05:42:51.823192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:42:52.401420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing438
Missing (%)100.0%
Memory size4.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct331
Distinct (%)77.0%
Missing8
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean205922.54
Minimum204543.67
Maximum207557.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-05-11T05:42:52.994972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum204543.67
5-th percentile204871.83
Q1205321.47
median205827.99
Q3206535.16
95-th percentile206989.55
Maximum207557.42
Range3013.7559
Interquartile range (IQR)1213.6927

Descriptive statistics

Standard deviation713.94155
Coefficient of variation (CV)0.0034670393
Kurtosis-1.2828644
Mean205922.54
Median Absolute Deviation (MAD)642.46202
Skewness0.074524689
Sum88546693
Variance509712.53
MonotonicityNot monotonic
2024-05-11T05:42:53.541636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205435.251508765 4
 
0.9%
206989.553079149 4
 
0.9%
206453.19770263 4
 
0.9%
204994.190238075 4
 
0.9%
206472.030911128 3
 
0.7%
205332.336693036 3
 
0.7%
206130.634734265 3
 
0.7%
206740.036180531 3
 
0.7%
206498.767578957 3
 
0.7%
206606.137475841 3
 
0.7%
Other values (321) 396
90.4%
(Missing) 8
 
1.8%
ValueCountFrequency (%)
204543.666478563 1
0.2%
204674.398854671 1
0.2%
204676.128044 1
0.2%
204684.704529649 1
0.2%
204711.702135701 2
0.5%
204725.405958 1
0.2%
204736.943204622 1
0.2%
204748.295377036 2
0.5%
204765.535085947 1
0.2%
204767.360728048 1
0.2%
ValueCountFrequency (%)
207557.422364404 1
0.2%
207345.508311081 1
0.2%
207262.334773143 1
0.2%
207244.831389699 1
0.2%
207229.54076438 1
0.2%
207209.845059052 1
0.2%
207203.404579508 1
0.2%
207201.014366845 1
0.2%
207176.93071308 1
0.2%
207155.319668993 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct331
Distinct (%)77.0%
Missing8
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean460358.12
Minimum456954.15
Maximum464356.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-05-11T05:42:54.247546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum456954.15
5-th percentile457378.52
Q1458171.26
median461232.84
Q3461975.93
95-th percentile463367.61
Maximum464356.53
Range7402.3798
Interquartile range (IQR)3804.6712

Descriptive statistics

Standard deviation2117.8185
Coefficient of variation (CV)0.0046003718
Kurtosis-1.4572362
Mean460358.12
Median Absolute Deviation (MAD)1798.5238
Skewness-0.12947806
Sum1.9795399 × 108
Variance4485155.2
MonotonicityNot monotonic
2024-05-11T05:42:55.581956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
461736.287191976 4
 
0.9%
463167.627199418 4
 
0.9%
457722.699587733 4
 
0.9%
458557.596518683 4
 
0.9%
461999.54966881 3
 
0.7%
457838.088858124 3
 
0.7%
462138.832144445 3
 
0.7%
460958.164371423 3
 
0.7%
461943.782607566 3
 
0.7%
458244.457701716 3
 
0.7%
Other values (321) 396
90.4%
(Missing) 8
 
1.8%
ValueCountFrequency (%)
456954.147370611 1
0.2%
456975.436848678 2
0.5%
457008.271220657 1
0.2%
457018.943974424 1
0.2%
457025.976372498 1
0.2%
457026.303281574 1
0.2%
457032.61474419 2
0.5%
457062.649183448 1
0.2%
457101.818557239 2
0.5%
457109.444987681 1
0.2%
ValueCountFrequency (%)
464356.527197506 1
0.2%
464064.057766368 1
0.2%
463973.059991804 1
0.2%
463961.862132076 2
0.5%
463943.786866443 1
0.2%
463940.976727043 1
0.2%
463928.107318353 1
0.2%
463858.708536388 2
0.5%
463857.044652327 1
0.2%
463801.619709388 2
0.5%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
당구장업
389 
<NA>
49 

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 389
88.8%
<NA> 49
 
11.2%

Length

2024-05-11T05:42:56.290114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:42:56.905669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 389
88.8%
na 49
 
11.2%

공사립구분명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
사립
389 
<NA>
49 

Length

Max length4
Median length2
Mean length2.2237443
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 389
88.8%
<NA> 49
 
11.2%

Length

2024-05-11T05:42:57.433117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:42:57.879426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 389
88.8%
na 49
 
11.2%

보험가입여부코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
399 
0
 
39

Length

Max length4
Median length4
Mean length3.7328767
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> 399
91.1%
0 39
 
8.9%

Length

2024-05-11T05:42:58.493434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:42:58.928590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 399
91.1%
0 39
 
8.9%

지도자수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
264 
0
174 

Length

Max length4
Median length4
Mean length2.8082192
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 264
60.3%
0 174
39.7%

Length

2024-05-11T05:42:59.586260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:43:00.000175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 264
60.3%
0 174
39.7%

건축물동수
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
258 
0
178 
1
 
2

Length

Max length4
Median length4
Mean length2.7671233
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 258
58.9%
0 178
40.6%
1 2
 
0.5%

Length

2024-05-11T05:43:00.632295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:43:01.152465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 258
58.9%
0 178
40.6%
1 2
 
0.5%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)8.3%
Missing246
Missing (%)56.2%
Infinite0
Infinite (%)0.0%
Mean79.647188
Minimum0
Maximum3329.82
Zeros177
Zeros (%)40.4%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-05-11T05:43:01.653802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile486.787
Maximum3329.82
Range3329.82
Interquartile range (IQR)0

Descriptive statistics

Standard deviation371.47754
Coefficient of variation (CV)4.6640384
Kurtosis41.855572
Mean79.647188
Median Absolute Deviation (MAD)0
Skewness6.0976852
Sum15292.26
Variance137995.57
MonotonicityNot monotonic
2024-05-11T05:43:02.041147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 177
40.4%
117.81 1
 
0.2%
262.89 1
 
0.2%
157.65 1
 
0.2%
782.48 1
 
0.2%
1605.31 1
 
0.2%
827.4 1
 
0.2%
192.0 1
 
0.2%
3329.82 1
 
0.2%
2208.15 1
 
0.2%
Other values (6) 6
 
1.4%
(Missing) 246
56.2%
ValueCountFrequency (%)
0.0 177
40.4%
117.81 1
 
0.2%
157.65 1
 
0.2%
192.0 1
 
0.2%
262.89 1
 
0.2%
483.16 1
 
0.2%
491.22 1
 
0.2%
658.53 1
 
0.2%
782.48 1
 
0.2%
827.4 1
 
0.2%
ValueCountFrequency (%)
3329.82 1
0.2%
2208.15 1
0.2%
2153.0 1
0.2%
1605.31 1
0.2%
1051.2 1
0.2%
971.64 1
0.2%
827.4 1
0.2%
782.48 1
0.2%
658.53 1
0.2%
491.22 1
0.2%

회원모집총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
428 
0
 
10

Length

Max length4
Median length4
Mean length3.9315068
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> 428
97.7%
0 10
 
2.3%

Length

2024-05-11T05:43:02.509092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:43:02.834558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 428
97.7%
0 10
 
2.3%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing438
Missing (%)100.0%
Memory size4.0 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing438
Missing (%)100.0%
Memory size4.0 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03100000CDFH330108198900000319891201<NA>3폐업3폐업19990409<NA><NA><NA><NA><NA>139818서울특별시 노원구 상계동 389-351번지 2층<NA><NA>보람당구장2003-02-21 10:29:10I2018-08-31 23:59:59.0<NA><NA><NA>당구장업사립<NA>000.0<NA><NA><NA>
13100000CDFH330108198900000419891213<NA>3폐업3폐업19981113<NA><NA><NA><NA><NA>139810서울특별시 노원구 상계동 101-37번지<NA><NA>귀빈당구장2003-02-21 10:29:10I2018-08-31 23:59:59.0<NA>206794.713591462685.175055당구장업사립<NA>000.0<NA><NA><NA>
23100000CDFH330108198900000519891213<NA>3폐업3폐업20000401<NA><NA><NA><NA><NA>139815서울특별시 노원구 상계동 169-31번지 3층동서울특별시 노원구 한글비석로 401, 3층동 (상계동)<NA>오성당구장2003-02-21 10:29:10I2018-08-31 23:59:59.0<NA>206236.379932462025.370362당구장업사립<NA>000.0<NA><NA><NA>
33100000CDFH330108199000000119900202<NA>3폐업3폐업19990906<NA><NA><NA><NA><NA>139816서울특별시 노원구 상계동 179-4번지서울특별시 노원구 상계로12길 56 (상계동)<NA>훈 당구장2003-02-21 10:29:10I2018-08-31 23:59:59.0<NA>206120.408855461491.556263당구장업사립<NA>000.0<NA><NA><NA>
43100000CDFH330108199000000219901109<NA>3폐업3폐업19991110<NA><NA><NA><NA><NA>139809서울특별시 노원구 상계동 51-2번지 3층서울특별시 노원구 덕릉로 843 (상계동,3층)<NA>화랑당구장2003-02-21 10:29:10I2018-08-31 23:59:59.0<NA>207176.930713463254.966145당구장업사립<NA>000.0<NA><NA><NA>
53100000CDFH330108199100000319911014<NA>3폐업3폐업19990906<NA><NA><NA><NA><NA>139806서울특별시 노원구 공릉동 494-15번지서울특별시 노원구 동일로 1053 (공릉동)<NA>서울당구장2003-02-21 10:29:10I2018-08-31 23:59:59.0<NA>206388.862349457966.641016당구장업사립<NA>000.0<NA><NA><NA>
63100000CDFH330108199200000219920808<NA>3폐업3폐업19990408<NA><NA><NA><NA><NA>139818서울특별시 노원구 상계동 389-46번지서울특별시 노원구 상계로23다길 18 (상계동)<NA>명성당구장2003-02-21 10:29:10I2018-08-31 23:59:59.0<NA>206072.09402461882.678528당구장업사립<NA>000.0<NA><NA><NA>
73100000CDFH330108199200000319920808<NA>3폐업3폐업19981130<NA><NA><NA><NA><NA>139821서울특별시 노원구 상계동 581-2번지서울특별시 노원구 상계로1길 54-4 (상계동)<NA>고려당구장2003-02-21 10:29:10I2018-08-31 23:59:59.0<NA>205368.388443461774.111086당구장업사립<NA>000.0<NA><NA><NA>
83100000CDFH330108199200000419921023<NA>3폐업3폐업20000504<NA><NA><NA><NA><NA>139831서울특별시 노원구 상계동 764-1번지 2층서울특별시 노원구 동일로 1323 (상계동,2층)<NA>하라당구장2003-02-21 10:29:10I2018-08-31 23:59:59.0<NA>205457.289886460487.443376당구장업사립<NA>000.0<NA><NA><NA>
93100000CDFH330108199300000319930417<NA>3폐업3폐업19990901<NA><NA><NA><NA><NA>139832서울특별시 노원구 상계동 749-8번지 지하1층101호서울특별시 노원구 동일로 1350 (상계동,지하1층101호)<NA>프로당구장2003-02-21 10:29:10I2018-08-31 23:59:59.0<NA>205437.99609460765.486013당구장업사립<NA>000.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
4283100000CDFH330108202200000120220125<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 공릉동 420-2 공릉동평화타운 B101호서울특별시 노원구 공릉로46길 3, B101호 (공릉동, 공릉동평화타운)1814나비캐롬 공릉점2022-01-25 12:26:46I2022-01-27 00:22:39.0<NA>206918.939595458317.423099당구장업사립<NA>000.00<NA><NA>
4293100000CDFH330108202200000220220307<NA>1영업/정상13영업중<NA><NA><NA><NA>02-935-2018<NA><NA>서울특별시 노원구 상계동 1264 은빛3단지아파트서울특별시 노원구 동일로250길 17, 상가동 지하1층 (상계동, 은빛3단지아파트)16213949당구클럽2022-03-07 18:28:58I2022-03-10 13:22:36.0<NA><NA><NA>당구장업사립<NA>000.00<NA><NA>
4303100000CDFH330108202200000320220930<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 중계동 154-14서울특별시 노원구 덕릉로83길 26, 3층 (중계동)1662제이큐2022-09-30 09:01:27I2021-10-31 00:02:00.0<NA>206472.030911461999.549669<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4313100000CDFH330108202200000420221212<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 공릉동 441-145 용마빌딩서울특별시 노원구 동일로192길 83, 용마빌딩 4층 (공릉동)1833용마당구클럽2022-12-12 11:11:28I2021-11-01 23:04:00.0<NA>206744.901144458357.246378<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4323100000CDFH33010820230000012023-04-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 455 백산빌딩서울특별시 노원구 한글비석로 460, 백산빌딩 지하1층 (상계동)1655New 원 당구장2023-04-06 15:28:22I2022-12-04 00:08:00.0<NA>205838.359075462455.351754<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4333100000CDFH33010820230000022023-04-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 1321 건영아파트서울특별시 노원구 덕릉로115다길 40, 2층 207,208호 (상계동, 건영아파트)1638지프당구장2023-04-11 09:32:01I2022-12-03 23:03:00.0<NA>206822.498981462909.715939<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4343100000CDFH33010820230000032023-06-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 591-2 우창프라자서울특별시 노원구 상계로1길 38-11, 우창프라자 (상계동)1693스카이당구장2023-06-22 12:00:11I2022-12-05 22:04:00.0<NA>205435.251509461736.287192<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4353100000CDFH33010820240000012024-01-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 1285 동아불암아파트서울특별시 노원구 덕릉로 780, 101동 2층 201호 (상계동, 동아불암아파트)1647M4 carom club2024-01-10 17:50:57I2023-11-30 23:02:00.0<NA>206961.39023462732.184722<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4363100000CDFH33010820240000022024-03-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 725-1 우진빌딩서울특별시 노원구 동일로218길 29, 우진빌딩 B1층 01,02,04호 (상계동)1751제일당구장2024-03-07 16:33:23I2023-12-03 00:09:00.0<NA>205442.859697461297.339685<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4373100000CDFH33010820240000032024-05-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 169-14서울특별시 노원구 한글비석로24길 13, 2층 (상계동)1668힐링당구장2024-05-09 14:10:57I2023-12-04 23:01:00.0<NA>206245.744865462133.692772<NA><NA><NA><NA><NA><NA><NA><NA><NA>