Overview

Dataset statistics

Number of variables34
Number of observations309
Missing cells2915
Missing cells (%)27.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory87.9 KiB
Average record size in memory291.4 B

Variable types

Categorical13
Text6
DateTime4
Unsupported7
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
Author용산구
URLhttps://data.seoul.go.kr/dataList/OA-19629/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (96.9%)Imbalance
상세영업상태코드 is highly imbalanced (57.2%)Imbalance
상세영업상태명 is highly imbalanced (57.2%)Imbalance
문화체육업종명 is highly imbalanced (74.8%)Imbalance
공사립구분명 is highly imbalanced (74.8%)Imbalance
회원모집총인원 is highly imbalanced (92.1%)Imbalance
폐업일자 has 38 (12.3%) missing valuesMissing
휴업시작일자 has 309 (100.0%) missing valuesMissing
휴업종료일자 has 309 (100.0%) missing valuesMissing
재개업일자 has 309 (100.0%) missing valuesMissing
전화번호 has 231 (74.8%) missing valuesMissing
소재지면적 has 309 (100.0%) missing valuesMissing
소재지우편번호 has 48 (15.5%) missing valuesMissing
도로명주소 has 56 (18.1%) missing valuesMissing
도로명우편번호 has 232 (75.1%) missing valuesMissing
업태구분명 has 309 (100.0%) missing valuesMissing
좌표정보(X) has 23 (7.4%) missing valuesMissing
좌표정보(Y) has 23 (7.4%) missing valuesMissing
건축물연면적 has 101 (32.7%) missing valuesMissing
세부업종명 has 309 (100.0%) missing valuesMissing
법인명 has 309 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
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 169 (54.7%) zerosZeros

Reproduction

Analysis started2024-04-06 13:39:05.762943
Analysis finished2024-04-06 13:39:06.256481
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
3020000
309 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3020000
2nd row3020000
3rd row3020000
4th row3020000
5th row3020000

Common Values

ValueCountFrequency (%)
3020000 309
100.0%

Length

2024-04-06T22:39:06.309785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:39:06.398866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3020000 309
100.0%

관리번호
Text

UNIQUE 

Distinct309
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-04-06T22:39:06.551375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters6180
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

Unique309 ?
Unique (%)100.0%

Sample

1st rowCDFH3301081989000003
2nd rowCDFH3301081989000004
3rd rowCDFH3301081989000005
4th rowCDFH3301081989000006
5th rowCDFH3301081989000008
ValueCountFrequency (%)
cdfh3301081989000003 1
 
0.3%
cdfh3301081997000009 1
 
0.3%
cdfh3301081999000007 1
 
0.3%
cdfh3301081998000018 1
 
0.3%
cdfh3301081998000017 1
 
0.3%
cdfh3301081998000016 1
 
0.3%
cdfh3301081998000014 1
 
0.3%
cdfh3301081998000013 1
 
0.3%
cdfh3301081998000012 1
 
0.3%
cdfh3301081998000010 1
 
0.3%
Other values (299) 299
96.8%
2024-04-06T22:39:06.845789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2206
35.7%
3 689
 
11.1%
1 685
 
11.1%
9 484
 
7.8%
8 369
 
6.0%
C 309
 
5.0%
D 309
 
5.0%
F 309
 
5.0%
H 309
 
5.0%
2 179
 
2.9%
Other values (4) 332
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4944
80.0%
Uppercase Letter 1236
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2206
44.6%
3 689
 
13.9%
1 685
 
13.9%
9 484
 
9.8%
8 369
 
7.5%
2 179
 
3.6%
5 121
 
2.4%
4 83
 
1.7%
6 68
 
1.4%
7 60
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
C 309
25.0%
D 309
25.0%
F 309
25.0%
H 309
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4944
80.0%
Latin 1236
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2206
44.6%
3 689
 
13.9%
1 685
 
13.9%
9 484
 
9.8%
8 369
 
7.5%
2 179
 
3.6%
5 121
 
2.4%
4 83
 
1.7%
6 68
 
1.4%
7 60
 
1.2%
Latin
ValueCountFrequency (%)
C 309
25.0%
D 309
25.0%
F 309
25.0%
H 309
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6180
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2206
35.7%
3 689
 
11.1%
1 685
 
11.1%
9 484
 
7.8%
8 369
 
6.0%
C 309
 
5.0%
D 309
 
5.0%
F 309
 
5.0%
H 309
 
5.0%
2 179
 
2.9%
Other values (4) 332
 
5.4%

인허가일자
Date

Distinct268
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum1989-11-16 00:00:00
Maximum2022-12-12 00:00:00
2024-04-06T22:39:06.977833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:39:07.103903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
308 
19981215
 
1

Length

Max length8
Median length4
Mean length4.012945
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 308
99.7%
19981215 1
 
0.3%

Length

2024-04-06T22:39:07.224173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:39:07.320074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 308
99.7%
19981215 1
 
0.3%

영업상태코드
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
3
254 
1
37 
4
 
18

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 254
82.2%
1 37
 
12.0%
4 18
 
5.8%

Length

2024-04-06T22:39:07.410053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:39:07.498045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 254
82.2%
1 37
 
12.0%
4 18
 
5.8%

영업상태명
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
폐업
254 
영업/정상
37 
취소/말소/만료/정지/중지
 
18

Length

Max length14
Median length2
Mean length3.0582524
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 254
82.2%
영업/정상 37
 
12.0%
취소/말소/만료/정지/중지 18
 
5.8%

Length

2024-04-06T22:39:07.599172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:39:07.689960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 254
82.2%
영업/정상 37
 
12.0%
취소/말소/만료/정지/중지 18
 
5.8%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
3
254 
13
37 
35
 
17
30
 
1

Length

Max length2
Median length1
Mean length1.1779935
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
3 254
82.2%
13 37
 
12.0%
35 17
 
5.5%
30 1
 
0.3%

Length

2024-04-06T22:39:07.787394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:39:07.876792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 254
82.2%
13 37
 
12.0%
35 17
 
5.5%
30 1
 
0.3%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
폐업
254 
영업중
37 
직권말소
 
17
허가취소
 
1

Length

Max length4
Median length2
Mean length2.236246
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 254
82.2%
영업중 37
 
12.0%
직권말소 17
 
5.5%
허가취소 1
 
0.3%

Length

2024-04-06T22:39:07.983589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:39:08.089007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 254
82.2%
영업중 37
 
12.0%
직권말소 17
 
5.5%
허가취소 1
 
0.3%

폐업일자
Date

MISSING 

Distinct200
Distinct (%)73.8%
Missing38
Missing (%)12.3%
Memory size2.5 KiB
Minimum1995-06-19 00:00:00
Maximum2024-01-26 00:00:00
2024-04-06T22:39:08.199079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:39:08.316005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing309
Missing (%)100.0%
Memory size2.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing309
Missing (%)100.0%
Memory size2.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing309
Missing (%)100.0%
Memory size2.8 KiB

전화번호
Text

MISSING 

Distinct78
Distinct (%)100.0%
Missing231
Missing (%)74.8%
Memory size2.5 KiB
2024-04-06T22:39:08.551292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.5897436
Min length8

Characters and Unicode

Total characters748
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)100.0%

Sample

1st row795-9877
2nd row02-719-6880
3rd row717-3039
4th row798-0088
5th row02-714-6076
ValueCountFrequency (%)
795-7908 1
 
1.3%
02-701-3937 1
 
1.3%
02-712-6254 1
 
1.3%
712-7681 1
 
1.3%
02-701-8141 1
 
1.3%
795-3959 1
 
1.3%
798-3542 1
 
1.3%
713-3988 1
 
1.3%
790-5284 1
 
1.3%
02-793-3833 1
 
1.3%
Other values (68) 68
87.2%
2024-04-06T22:39:09.040627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 114
15.2%
7 111
14.8%
0 99
13.2%
2 71
9.5%
9 70
9.4%
1 53
7.1%
4 53
7.1%
3 52
7.0%
6 43
 
5.7%
8 41
 
5.5%
Other values (2) 41
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 632
84.5%
Dash Punctuation 114
 
15.2%
Close Punctuation 2
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 111
17.6%
0 99
15.7%
2 71
11.2%
9 70
11.1%
1 53
8.4%
4 53
8.4%
3 52
8.2%
6 43
 
6.8%
8 41
 
6.5%
5 39
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 748
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 114
15.2%
7 111
14.8%
0 99
13.2%
2 71
9.5%
9 70
9.4%
1 53
7.1%
4 53
7.1%
3 52
7.0%
6 43
 
5.7%
8 41
 
5.5%
Other values (2) 41
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 748
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 114
15.2%
7 111
14.8%
0 99
13.2%
2 71
9.5%
9 70
9.4%
1 53
7.1%
4 53
7.1%
3 52
7.0%
6 43
 
5.7%
8 41
 
5.5%
Other values (2) 41
 
5.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing309
Missing (%)100.0%
Memory size2.8 KiB

소재지우편번호
Text

MISSING 

Distinct83
Distinct (%)31.8%
Missing48
Missing (%)15.5%
Memory size2.5 KiB
2024-04-06T22:39:09.367061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0191571
Min length6

Characters and Unicode

Total characters1571
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

Unique36 ?
Unique (%)13.8%

Sample

1st row140160
2nd row140875
3rd row140869
4th row140160
5th row140833
ValueCountFrequency (%)
140847 13
 
5.0%
140887 13
 
5.0%
140871 11
 
4.2%
140821 10
 
3.8%
140882 9
 
3.4%
140858 8
 
3.1%
140160 8
 
3.1%
140132 7
 
2.7%
140833 7
 
2.7%
140872 6
 
2.3%
Other values (73) 169
64.8%
2024-04-06T22:39:09.859289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 342
21.8%
0 342
21.8%
4 294
18.7%
8 266
16.9%
7 73
 
4.6%
2 61
 
3.9%
3 57
 
3.6%
9 50
 
3.2%
6 43
 
2.7%
5 38
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1566
99.7%
Dash Punctuation 5
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 342
21.8%
0 342
21.8%
4 294
18.8%
8 266
17.0%
7 73
 
4.7%
2 61
 
3.9%
3 57
 
3.6%
9 50
 
3.2%
6 43
 
2.7%
5 38
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1571
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 342
21.8%
0 342
21.8%
4 294
18.7%
8 266
16.9%
7 73
 
4.6%
2 61
 
3.9%
3 57
 
3.6%
9 50
 
3.2%
6 43
 
2.7%
5 38
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1571
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 342
21.8%
0 342
21.8%
4 294
18.7%
8 266
16.9%
7 73
 
4.6%
2 61
 
3.9%
3 57
 
3.6%
9 50
 
3.2%
6 43
 
2.7%
5 38
 
2.4%

지번주소
Text

Distinct304
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-04-06T22:39:10.129161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length32
Mean length25.550162
Min length19

Characters and Unicode

Total characters7895
Distinct characters100
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique299 ?
Unique (%)96.8%

Sample

1st row서울특별시 용산구 남영동 61-4번지
2nd row서울특별시 용산구 한강로2가 225-1번지 지상3층
3rd row서울특별시 용산구 청파동1가 132-3번지
4th row서울특별시 용산구 남영동 127-1번지
5th row서울특별시 용산구 용산동2가 1-704번지
ValueCountFrequency (%)
서울특별시 309
21.5%
용산구 309
21.5%
한남동 47
 
3.3%
지상3층 40
 
2.8%
지하1층 33
 
2.3%
한강로2가 31
 
2.2%
이태원동 29
 
2.0%
동자동 25
 
1.7%
한강로3가 25
 
1.7%
지상2층 23
 
1.6%
Other values (342) 567
39.4%
2024-04-06T22:39:10.614779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1420
18.0%
지 411
 
5.2%
용 328
 
4.2%
산 324
 
4.1%
1 324
 
4.1%
서 317
 
4.0%
구 310
 
3.9%
특 309
 
3.9%
별 309
 
3.9%
시 309
 
3.9%
Other values (90) 3534
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4642
58.8%
Decimal Number 1515
 
19.2%
Space Separator 1420
 
18.0%
Dash Punctuation 297
 
3.8%
Close Punctuation 8
 
0.1%
Open Punctuation 8
 
0.1%
Other Punctuation 4
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 411
 
8.9%
용 328
 
7.1%
산 324
 
7.0%
서 317
 
6.8%
구 310
 
6.7%
특 309
 
6.7%
별 309
 
6.7%
시 309
 
6.7%
울 309
 
6.7%
번 289
 
6.2%
Other values (73) 1427
30.7%
Decimal Number
ValueCountFrequency (%)
1 324
21.4%
3 289
19.1%
2 271
17.9%
4 120
 
7.9%
6 113
 
7.5%
5 100
 
6.6%
0 85
 
5.6%
7 83
 
5.5%
9 71
 
4.7%
8 58
 
3.8%
Space Separator
ValueCountFrequency (%)
1420
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 297
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4642
58.8%
Common 3252
41.2%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 411
 
8.9%
용 328
 
7.1%
산 324
 
7.0%
서 317
 
6.8%
구 310
 
6.7%
특 309
 
6.7%
별 309
 
6.7%
시 309
 
6.7%
울 309
 
6.7%
번 289
 
6.2%
Other values (73) 1427
30.7%
Common
ValueCountFrequency (%)
1420
43.7%
1 324
 
10.0%
- 297
 
9.1%
3 289
 
8.9%
2 271
 
8.3%
4 120
 
3.7%
6 113
 
3.5%
5 100
 
3.1%
0 85
 
2.6%
7 83
 
2.6%
Other values (6) 150
 
4.6%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4642
58.8%
ASCII 3252
41.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1420
43.7%
1 324
 
10.0%
- 297
 
9.1%
3 289
 
8.9%
2 271
 
8.3%
4 120
 
3.7%
6 113
 
3.5%
5 100
 
3.1%
0 85
 
2.6%
7 83
 
2.6%
Other values (6) 150
 
4.6%
Hangul
ValueCountFrequency (%)
지 411
 
8.9%
용 328
 
7.1%
산 324
 
7.0%
서 317
 
6.8%
구 310
 
6.7%
특 309
 
6.7%
별 309
 
6.7%
시 309
 
6.7%
울 309
 
6.7%
번 289
 
6.2%
Other values (73) 1427
30.7%
None
ValueCountFrequency (%)
２ 1
100.0%

도로명주소
Text

MISSING 

Distinct250
Distinct (%)98.8%
Missing56
Missing (%)18.1%
Memory size2.5 KiB
2024-04-06T22:39:10.986734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length37
Mean length29.193676
Min length23

Characters and Unicode

Total characters7386
Distinct characters131
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

Unique247 ?
Unique (%)97.6%

Sample

1st row서울특별시 용산구 한강대로 282 (남영동)
2nd row서울특별시 용산구 청파로71길 5 (청파동1가)
3rd row서울특별시 용산구 한강대로 258 (남영동)
4th row서울특별시 용산구 신흥로 117 (용산동2가)
5th row서울특별시 용산구 신흥로 122 (용산동2가,지하1층)
ValueCountFrequency (%)
서울특별시 253
 
18.8%
용산구 253
 
18.8%
한강대로 31
 
2.3%
원효로 24
 
1.8%
한남동 24
 
1.8%
이태원동 16
 
1.2%
3층 15
 
1.1%
동자동 14
 
1.0%
한강로3가 13
 
1.0%
이태원로 11
 
0.8%
Other values (355) 690
51.3%
2024-04-06T22:39:11.355300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1232
 
16.7%
로 326
 
4.4%
서 270
 
3.7%
용 270
 
3.7%
산 266
 
3.6%
) 258
 
3.5%
( 258
 
3.5%
시 254
 
3.4%
구 254
 
3.4%
특 253
 
3.4%
Other values (121) 3745
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4355
59.0%
Space Separator 1232
 
16.7%
Decimal Number 1074
 
14.5%
Close Punctuation 258
 
3.5%
Open Punctuation 258
 
3.5%
Other Punctuation 167
 
2.3%
Dash Punctuation 34
 
0.5%
Uppercase Letter 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 326
 
7.5%
서 270
 
6.2%
용 270
 
6.2%
산 266
 
6.1%
시 254
 
5.8%
구 254
 
5.8%
특 253
 
5.8%
별 253
 
5.8%
울 253
 
5.8%
동 204
 
4.7%
Other values (99) 1752
40.2%
Decimal Number
ValueCountFrequency (%)
2 225
20.9%
1 213
19.8%
3 167
15.5%
4 110
10.2%
7 78
 
7.3%
5 76
 
7.1%
8 59
 
5.5%
0 56
 
5.2%
6 51
 
4.7%
9 39
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
I 3
37.5%
H 1
 
12.5%
E 1
 
12.5%
V 1
 
12.5%
B 1
 
12.5%
T 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 166
99.4%
: 1
 
0.6%
Space Separator
ValueCountFrequency (%)
1232
100.0%
Close Punctuation
ValueCountFrequency (%)
) 258
100.0%
Open Punctuation
ValueCountFrequency (%)
( 258
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4355
59.0%
Common 3023
40.9%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 326
 
7.5%
서 270
 
6.2%
용 270
 
6.2%
산 266
 
6.1%
시 254
 
5.8%
구 254
 
5.8%
특 253
 
5.8%
별 253
 
5.8%
울 253
 
5.8%
동 204
 
4.7%
Other values (99) 1752
40.2%
Common
ValueCountFrequency (%)
1232
40.8%
) 258
 
8.5%
( 258
 
8.5%
2 225
 
7.4%
1 213
 
7.0%
3 167
 
5.5%
, 166
 
5.5%
4 110
 
3.6%
7 78
 
2.6%
5 76
 
2.5%
Other values (6) 240
 
7.9%
Latin
ValueCountFrequency (%)
I 3
37.5%
H 1
 
12.5%
E 1
 
12.5%
V 1
 
12.5%
B 1
 
12.5%
T 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4355
59.0%
ASCII 3031
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1232
40.6%
) 258
 
8.5%
( 258
 
8.5%
2 225
 
7.4%
1 213
 
7.0%
3 167
 
5.5%
, 166
 
5.5%
4 110
 
3.6%
7 78
 
2.6%
5 76
 
2.5%
Other values (12) 248
 
8.2%
Hangul
ValueCountFrequency (%)
로 326
 
7.5%
서 270
 
6.2%
용 270
 
6.2%
산 266
 
6.1%
시 254
 
5.8%
구 254
 
5.8%
특 253
 
5.8%
별 253
 
5.8%
울 253
 
5.8%
동 204
 
4.7%
Other values (99) 1752
40.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)62.3%
Missing232
Missing (%)75.1%
Infinite0
Infinite (%)0.0%
Mean11451.429
Minimum4300
Maximum140892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T22:39:11.480591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4300
5-th percentile4313.8
Q14332
median4364
Q34391
95-th percentile31708.2
Maximum140892
Range136592
Interquartile range (IQR)59

Descriptive statistics

Standard deviation30493.329
Coefficient of variation (CV)2.6628406
Kurtosis15.361189
Mean11451.429
Median Absolute Deviation (MAD)31
Skewness4.1185821
Sum881760
Variance9.2984309 × 108
MonotonicityNot monotonic
2024-04-06T22:39:11.598333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
4402 4
 
1.3%
4363 4
 
1.3%
4382 4
 
1.3%
4321 4
 
1.3%
4352 3
 
1.0%
4324 3
 
1.0%
4379 3
 
1.0%
4334 2
 
0.6%
4391 2
 
0.6%
4414 2
 
0.6%
Other values (38) 46
 
14.9%
(Missing) 232
75.1%
ValueCountFrequency (%)
4300 2
0.6%
4305 1
 
0.3%
4313 1
 
0.3%
4314 1
 
0.3%
4316 1
 
0.3%
4317 1
 
0.3%
4318 1
 
0.3%
4320 1
 
0.3%
4321 4
1.3%
4323 1
 
0.3%
ValueCountFrequency (%)
140892 1
 
0.3%
140887 1
 
0.3%
140869 1
 
0.3%
140833 1
 
0.3%
4427 1
 
0.3%
4415 2
0.6%
4414 2
0.6%
4410 2
0.6%
4405 2
0.6%
4402 4
1.3%

사업장명
Text

Distinct259
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-04-06T22:39:11.854977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length4.4595469
Min length1

Characters and Unicode

Total characters1378
Distinct characters248
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique221 ?
Unique (%)71.5%

Sample

1st row영당구장
2nd row승리
3rd row청현
4th row성남
5th row풍한
ValueCountFrequency (%)
당구장 25
 
7.3%
포커스당구장 7
 
2.0%
그린당구장 3
 
0.9%
큐 3
 
0.9%
큐당구장 3
 
0.9%
당구클럽 3
 
0.9%
수 3
 
0.9%
스타당구장 3
 
0.9%
버드당구장 3
 
0.9%
한남당구장 3
 
0.9%
Other values (247) 286
83.6%
2024-04-06T22:39:12.278123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 201
 
14.6%
당 200
 
14.5%
장 186
 
13.5%
33
 
2.4%
스 31
 
2.2%
리 17
 
1.2%
아 16
 
1.2%
성 15
 
1.1%
드 14
 
1.0%
이 14
 
1.0%
Other values (238) 651
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1274
92.5%
Space Separator 33
 
2.4%
Uppercase Letter 29
 
2.1%
Decimal Number 26
 
1.9%
Lowercase Letter 15
 
1.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 201
 
15.8%
당 200
 
15.7%
장 186
 
14.6%
스 31
 
2.4%
리 17
 
1.3%
아 16
 
1.3%
성 15
 
1.2%
드 14
 
1.1%
이 14
 
1.1%
한 14
 
1.1%
Other values (208) 566
44.4%
Uppercase Letter
ValueCountFrequency (%)
J 4
13.8%
B 3
10.3%
C 3
10.3%
O 3
10.3%
S 2
 
6.9%
M 2
 
6.9%
U 2
 
6.9%
L 2
 
6.9%
R 2
 
6.9%
I 1
 
3.4%
Other values (5) 5
17.2%
Decimal Number
ValueCountFrequency (%)
2 9
34.6%
0 6
23.1%
5 5
19.2%
4 2
 
7.7%
8 2
 
7.7%
1 1
 
3.8%
3 1
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
s 7
46.7%
b 3
20.0%
e 2
 
13.3%
l 1
 
6.7%
t 1
 
6.7%
k 1
 
6.7%
Space Separator
ValueCountFrequency (%)
33
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1274
92.5%
Common 60
 
4.4%
Latin 44
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 201
 
15.8%
당 200
 
15.7%
장 186
 
14.6%
스 31
 
2.4%
리 17
 
1.3%
아 16
 
1.3%
성 15
 
1.2%
드 14
 
1.1%
이 14
 
1.1%
한 14
 
1.1%
Other values (208) 566
44.4%
Latin
ValueCountFrequency (%)
s 7
15.9%
J 4
 
9.1%
B 3
 
6.8%
b 3
 
6.8%
C 3
 
6.8%
O 3
 
6.8%
S 2
 
4.5%
e 2
 
4.5%
M 2
 
4.5%
U 2
 
4.5%
Other values (11) 13
29.5%
Common
ValueCountFrequency (%)
33
55.0%
2 9
 
15.0%
0 6
 
10.0%
5 5
 
8.3%
4 2
 
3.3%
8 2
 
3.3%
. 1
 
1.7%
1 1
 
1.7%
3 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1274
92.5%
ASCII 104
 
7.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 201
 
15.8%
당 200
 
15.7%
장 186
 
14.6%
스 31
 
2.4%
리 17
 
1.3%
아 16
 
1.3%
성 15
 
1.2%
드 14
 
1.1%
이 14
 
1.1%
한 14
 
1.1%
Other values (208) 566
44.4%
ASCII
ValueCountFrequency (%)
33
31.7%
2 9
 
8.7%
s 7
 
6.7%
0 6
 
5.8%
5 5
 
4.8%
J 4
 
3.8%
B 3
 
2.9%
b 3
 
2.9%
C 3
 
2.9%
O 3
 
2.9%
Other values (20) 28
26.9%

최종수정일자
Date

Distinct176
Distinct (%)57.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2003-02-06 13:06:27
Maximum2024-02-14 14:13:48
2024-04-06T22:39:12.483130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:39:12.598598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
I
262 
U
47 

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 262
84.8%
U 47
 
15.2%

Length

2024-04-06T22:39:12.716156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:39:12.802545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 262
84.8%
u 47
 
15.2%

데이터갱신일자
Date

Distinct40
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-01 23:06:00
2024-04-06T22:39:12.896636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:39:13.013010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing309
Missing (%)100.0%
Memory size2.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct242
Distinct (%)84.6%
Missing23
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean197965.8
Minimum195626.87
Maximum200751.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T22:39:13.421663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195626.87
5-th percentile196258.27
Q1196902.19
median197468.71
Q3199375.17
95-th percentile200622.36
Maximum200751.84
Range5124.9742
Interquartile range (IQR)2472.9818

Descriptive statistics

Standard deviation1436.0045
Coefficient of variation (CV)0.0072538013
Kurtosis-0.91794425
Mean197965.8
Median Absolute Deviation (MAD)785.31702
Skewness0.62108876
Sum56618217
Variance2062109
MonotonicityNot monotonic
2024-04-06T22:39:13.551521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198616.545032142 3
 
1.0%
199860.819809374 3
 
1.0%
200468.881253388 3
 
1.0%
196297.724385191 3
 
1.0%
196734.132737912 3
 
1.0%
197742.265234493 3
 
1.0%
197088.342914246 2
 
0.6%
199794.610903068 2
 
0.6%
199375.16716008 2
 
0.6%
196522.360946947 2
 
0.6%
Other values (232) 260
84.1%
(Missing) 23
 
7.4%
ValueCountFrequency (%)
195626.865584206 2
0.6%
195653.553341643 2
0.6%
195709.343125878 1
0.3%
195709.974530031 1
0.3%
195980.532724346 1
0.3%
196052.846405106 1
0.3%
196060.559012563 1
0.3%
196081.468322436 1
0.3%
196173.509083483 1
0.3%
196189.205036161 1
0.3%
ValueCountFrequency (%)
200751.839771325 1
0.3%
200738.283742027 1
0.3%
200732.91120363 1
0.3%
200710.646192452 1
0.3%
200697.071136578 1
0.3%
200693.652523916 2
0.6%
200685.386130384 1
0.3%
200685.355190263 1
0.3%
200677.904666667 1
0.3%
200654.823840773 1
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct242
Distinct (%)84.6%
Missing23
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean448308.8
Minimum446202.37
Maximum450278.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T22:39:13.674022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446202.37
5-th percentile447085.29
Q1447759.39
median448042.83
Q3449079.01
95-th percentile449979.58
Maximum450278.76
Range4076.393
Interquartile range (IQR)1319.6241

Descriptive statistics

Standard deviation912.55115
Coefficient of variation (CV)0.0020355415
Kurtosis-0.54130841
Mean448308.8
Median Absolute Deviation (MAD)536.70396
Skewness0.40959676
Sum1.2821632 × 108
Variance832749.6
MonotonicityNot monotonic
2024-04-06T22:39:13.805035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449286.827204587 3
 
1.0%
447348.10086997 3
 
1.0%
447775.795957158 3
 
1.0%
448025.966181418 3
 
1.0%
447085.288934583 3
 
1.0%
449810.270608241 3
 
1.0%
447624.157668517 2
 
0.6%
448065.768757552 2
 
0.6%
447957.980029766 2
 
0.6%
448196.611004379 2
 
0.6%
Other values (232) 260
84.1%
(Missing) 23
 
7.4%
ValueCountFrequency (%)
446202.36502252 1
0.3%
446262.544080318 1
0.3%
446419.923247168 1
0.3%
446420.759276915 1
0.3%
446472.699664903 1
0.3%
446484.38424928 1
0.3%
446868.532726729 1
0.3%
446872.660810651 1
0.3%
446968.716291554 1
0.3%
447008.382099627 1
0.3%
ValueCountFrequency (%)
450278.758007272 1
0.3%
450247.06018934 2
0.6%
450230.900231927 1
0.3%
450211.855107496 1
0.3%
450187.639791092 1
0.3%
450153.122732911 1
0.3%
450126.951675139 1
0.3%
450126.78977162 1
0.3%
450122.78068625 1
0.3%
450098.370078695 1
0.3%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
당구장업
296 
<NA>
 
13

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 296
95.8%
<NA> 13
 
4.2%

Length

2024-04-06T22:39:13.927354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:39:14.017979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 296
95.8%
na 13
 
4.2%

공사립구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
사립
296 
<NA>
 
13

Length

Max length4
Median length2
Mean length2.0841424
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 296
95.8%
<NA> 13
 
4.2%

Length

2024-04-06T22:39:14.121996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:39:14.223608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 296
95.8%
na 13
 
4.2%

보험가입여부코드
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
262 
0
47 

Length

Max length4
Median length4
Mean length3.5436893
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 262
84.8%
0 47
 
15.2%

Length

2024-04-06T22:39:14.321629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:39:14.412222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 262
84.8%
0 47
 
15.2%

지도자수
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
168 
0
141 

Length

Max length4
Median length4
Mean length2.631068
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 168
54.4%
0 141
45.6%

Length

2024-04-06T22:39:14.508640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:39:14.606983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 168
54.4%
0 141
45.6%

건축물동수
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
181 
<NA>
118 
1
 
10

Length

Max length4
Median length1
Mean length2.1456311
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 181
58.6%
<NA> 118
38.2%
1 10
 
3.2%

Length

2024-04-06T22:39:14.701245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:39:14.798268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 181
58.6%
na 118
38.2%
1 10
 
3.2%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct39
Distinct (%)18.8%
Missing101
Missing (%)32.7%
Infinite0
Infinite (%)0.0%
Mean361.52548
Minimum0
Maximum23877.47
Zeros169
Zeros (%)54.7%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T22:39:14.897224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1383.1095
Maximum23877.47
Range23877.47
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1809.623
Coefficient of variation (CV)5.0055199
Kurtosis139.91734
Mean361.52548
Median Absolute Deviation (MAD)0
Skewness11.072727
Sum75197.3
Variance3274735.3
MonotonicityNot monotonic
2024-04-06T22:39:15.033835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0.0 169
54.7%
1225.56 2
 
0.6%
737.94 1
 
0.3%
693.62 1
 
0.3%
1542.92 1
 
0.3%
640.15 1
 
0.3%
1564.22 1
 
0.3%
4457.29 1
 
0.3%
1342.4 1
 
0.3%
610.2 1
 
0.3%
Other values (29) 29
 
9.4%
(Missing) 101
32.7%
ValueCountFrequency (%)
0.0 169
54.7%
144.43 1
 
0.3%
188.64 1
 
0.3%
333.63 1
 
0.3%
368.27 1
 
0.3%
385.94 1
 
0.3%
430.69 1
 
0.3%
448.22 1
 
0.3%
610.2 1
 
0.3%
615.96 1
 
0.3%
ValueCountFrequency (%)
23877.47 1
0.3%
6970.51 1
0.3%
4457.29 1
0.3%
3751.44 1
0.3%
3685.85 1
0.3%
2282.0 1
0.3%
1781.67 1
0.3%
1564.22 1
0.3%
1542.92 1
0.3%
1535.36 1
0.3%

회원모집총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
306 
0
 
3

Length

Max length4
Median length4
Mean length3.9708738
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> 306
99.0%
0 3
 
1.0%

Length

2024-04-06T22:39:15.152687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:39:15.247169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 306
99.0%
0 3
 
1.0%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing309
Missing (%)100.0%
Memory size2.8 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing309
Missing (%)100.0%
Memory size2.8 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03020000CDFH330108198900000319891116<NA>4취소/말소/만료/정지/중지35직권말소20090213<NA><NA><NA><NA><NA>140160서울특별시 용산구 남영동 61-4번지서울특별시 용산구 한강대로 282 (남영동)<NA>영당구장2009-02-13 17:02:45I2018-08-31 23:59:59.0<NA>197521.687732449024.318476당구장업사립0<NA><NA><NA><NA><NA><NA>
13020000CDFH330108198900000419891116<NA>3폐업3폐업20090401<NA><NA><NA><NA><NA>140875서울특별시 용산구 한강로2가 225-1번지 지상3층<NA><NA>승리2009-04-01 15:32:18I2018-08-31 23:59:59.0<NA>197012.076499447279.469998당구장업사립<NA>000.0<NA><NA><NA>
23020000CDFH330108198900000519891116<NA>4취소/말소/만료/정지/중지35직권말소20090213<NA><NA><NA><NA><NA>140869서울특별시 용산구 청파동1가 132-3번지서울특별시 용산구 청파로71길 5 (청파동1가)<NA>청현2009-02-13 16:59:01I2018-08-31 23:59:59.0<NA>197233.943368449659.728123당구장업사립0<NA><NA><NA><NA><NA><NA>
33020000CDFH330108198900000619891116<NA>3폐업3폐업20030625<NA><NA><NA><NA><NA>140160서울특별시 용산구 남영동 127-1번지서울특별시 용산구 한강대로 258 (남영동)<NA>성남2014-01-14 17:24:34I2018-08-31 23:59:59.0<NA>197573.417262448795.649604당구장업사립<NA><NA>00.0<NA><NA><NA>
43020000CDFH330108198900000819891116<NA>3폐업3폐업20040131<NA><NA><NA><NA><NA>140833서울특별시 용산구 용산동2가 1-704번지서울특별시 용산구 신흥로 117 (용산동2가)<NA>풍한2014-01-16 10:19:25I2018-08-31 23:59:59.0<NA>198416.199477449159.418773당구장업사립<NA><NA>00.0<NA><NA><NA>
53020000CDFH330108198900000919891116<NA>3폐업3폐업20090213<NA><NA><NA><NA><NA>140833서울특별시 용산구 용산동2가 1-710번지 지하1층서울특별시 용산구 신흥로 122 (용산동2가,지하1층)<NA>특실2014-01-16 11:28:41I2018-08-31 23:59:59.0<NA>198372.218629449152.671435당구장업사립<NA><NA>00.0<NA><NA><NA>
63020000CDFH330108198900001019891201<NA>3폐업3폐업20000113<NA><NA><NA><NA><NA>140884서울특별시 용산구 한남동 263-2번지서울특별시 용산구 한남대로18길 22 (한남동)<NA>대학촌2003-02-06 13:06:27I2018-08-31 23:59:59.0<NA>200685.35519448016.746922당구장업사립<NA>000.0<NA><NA><NA>
73020000CDFH330108198900001119891215<NA>3폐업3폐업19950619<NA><NA><NA><NA><NA>140833서울특별시 용산구 용산동2가 1-709번지서울특별시 용산구 신흥로 124 (용산동2가)<NA>정일2003-02-06 13:06:27I2018-08-31 23:59:59.0<NA>198358.205473449148.311535당구장업사립<NA>000.0<NA><NA><NA>
83020000CDFH330108199000000119900116<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>140011서울특별시 용산구 한강로1가 197서울특별시 용산구 한강대로62길 23 (한강로1가)4382금강2020-12-23 15:34:59U2020-12-25 02:40:00.0<NA>197618.824004447960.19607당구장업사립<NA><NA>0<NA><NA><NA><NA>
93020000CDFH330108199000000219900312<NA>4취소/말소/만료/정지/중지35직권말소20090213<NA><NA><NA><NA><NA>140806서울특별시 용산구 갈월동 69-55번지서울특별시 용산구 한강대로87길 3 (갈월동)<NA>8 82014-01-14 15:52:40I2018-08-31 23:59:59.0<NA>197443.516756449101.87563당구장업사립<NA><NA>00.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
2993020000CDFH330108201600000320160808<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3789-0356<NA><NA>서울특별시 용산구 용산동2가 1-531번지서울특별시 용산구 신흥로20길 1 (용산동2가, 세명치과)4328버드당구장2016-08-16 19:29:57I2018-08-31 23:59:59.0<NA>198616.545032449286.827205당구장업사립<NA><NA>1<NA><NA><NA><NA>
3003020000CDFH330108201700000120170411<NA>3폐업3폐업20200131<NA><NA><NA>02-797-5424<NA><NA>서울특별시 용산구 이태원동 72-32번지서울특별시 용산구 이태원로 164-1, 2층 (이태원동)4391골든벨당구장2020-01-31 19:15:54U2020-02-02 02:40:00.0<NA>199251.758292447975.464439당구장업사립<NA><NA>1995.72<NA><NA><NA>
3013020000CDFH330108201700000220170502<NA>3폐업3폐업20190429<NA><NA><NA>02-797-5979<NA><NA>서울특별시 용산구 이태원동 130-34번지 201호서울특별시 용산구 보광로 123, 2층 (이태원동)4391작당당구장2019-04-29 14:18:18U2019-05-01 02:40:00.0<NA>199399.509258447940.397729당구장업사립<NA><NA>1823.08<NA><NA><NA>
3023020000CDFH330108201700000320170710<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한남동 633-3 제일빌딩서울특별시 용산구 대사관로 72, 제일빌딩 202,203호 (한남동)4402테라스당구클럽2020-07-15 16:13:02U2020-07-17 02:40:00.0<NA>200455.144016447866.831311당구장업사립<NA><NA>13751.44<NA><NA><NA>
3033020000CDFH330108201700000420170811<NA>3폐업3폐업20221202<NA><NA><NA><NA><NA><NA>서울특별시 용산구 한강로3가 40-141서울특별시 용산구 한강대로15길 12, 3층 (한강로3가)4379드래곤 당구장2022-12-02 16:15:04U2021-11-02 00:04:00.0<NA>196734.132738447085.288935<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3043020000CDFH330108202000000120200206<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 효창동 5-116번지서울특별시 용산구 효창원로62길 16 (효창동)4317GOON CAROM CLUB2020-02-06 17:45:48I2020-02-08 00:23:23.0<NA>196624.02853448612.538603당구장업사립<NA><NA><NA>2282.0<NA><NA><NA>
3053020000CDFH330108202000000220200508<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 이태원동 225-1 혜천상가 5층서울특별시 용산구 회나무로13길 5, 혜천상가 5층 (이태원동)4343삼거리당구장2022-06-17 16:36:40U2021-12-05 23:09:00.0<NA>198983.120016448589.603462<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3063020000CDFH330108202000000320200515<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 동자동 19-33번지 여명빌딩서울특별시 용산구 한강대로104길 53, 여명빌딩 지층 (동자동)4324매니아당구장2020-05-15 16:45:56I2020-05-17 00:23:20.0<NA>197742.265234449810.270608당구장업사립<NA><NA><NA>1225.56<NA><NA><NA>
3073020000CDFH330108202000000420200929<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 용산동2가 1-206서울특별시 용산구 신흥로26길 20, 5층 501호 (용산동2가)4337마이빌리어즈카페2021-11-02 09:10:24U2021-11-04 02:40:00.0<NA>198506.109526449201.64865당구장업사립<NA><NA><NA><NA><NA><NA><NA>
3083020000CDFH330108202200000120221212<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한강로3가 40-141 3층서울특별시 용산구 한강대로15길 12, 3층 (한강로3가)4379드래곤 당구장2022-12-12 17:37:51I2021-11-01 23:04:00.0<NA>196734.132738447085.288935<NA><NA><NA><NA><NA><NA><NA><NA><NA>