Overview

Dataset statistics

Number of variables34
Number of observations288
Missing cells3022
Missing cells (%)30.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory81.7 KiB
Average record size in memory290.5 B

Variable types

Categorical12
Text5
DateTime4
Unsupported8
Numeric5

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
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-19876/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지우편번호 is highly imbalanced (53.0%)Imbalance
보험가입여부코드 is highly imbalanced (68.9%)Imbalance
인허가취소일자 has 288 (100.0%) missing valuesMissing
폐업일자 has 146 (50.7%) missing valuesMissing
휴업시작일자 has 288 (100.0%) missing valuesMissing
휴업종료일자 has 288 (100.0%) missing valuesMissing
재개업일자 has 288 (100.0%) missing valuesMissing
전화번호 has 93 (32.3%) missing valuesMissing
소재지면적 has 288 (100.0%) missing valuesMissing
도로명주소 has 12 (4.2%) missing valuesMissing
도로명우편번호 has 72 (25.0%) missing valuesMissing
업태구분명 has 288 (100.0%) missing valuesMissing
좌표정보(X) has 8 (2.8%) missing valuesMissing
좌표정보(Y) has 8 (2.8%) missing valuesMissing
건축물연면적 has 144 (50.0%) missing valuesMissing
회원모집총인원 has 235 (81.6%) missing valuesMissing
세부업종명 has 288 (100.0%) missing valuesMissing
법인명 has 288 (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 46 (16.0%) zerosZeros
회원모집총인원 has 38 (13.2%) zerosZeros

Reproduction

Analysis started2024-05-11 05:53:35.121056
Analysis finished2024-05-11 05:53:36.140837
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
3240000
288 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3240000
2nd row3240000
3rd row3240000
4th row3240000
5th row3240000

Common Values

ValueCountFrequency (%)
3240000 288
100.0%

Length

2024-05-11T14:53:36.246840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:53:36.388510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 288
100.0%

관리번호
Text

UNIQUE 

Distinct288
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-05-11T14:53:36.705887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters5760
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

Unique288 ?
Unique (%)100.0%

Sample

1st rowCDFH3301061989000001
2nd rowCDFH3301061989000002
3rd rowCDFH3301061989000003
4th rowCDFH3301061990000001
5th rowCDFH3301061990000002
ValueCountFrequency (%)
cdfh3301061989000001 1
 
0.3%
cdfh3301061989000002 1
 
0.3%
cdfh3301062019000003 1
 
0.3%
cdfh3301062019000002 1
 
0.3%
cdfh3301062019000001 1
 
0.3%
cdfh3301062018000005 1
 
0.3%
cdfh3301062018000004 1
 
0.3%
cdfh3301062018000003 1
 
0.3%
cdfh3301062019000004 1
 
0.3%
cdfh3301062018000002 1
 
0.3%
Other values (278) 278
96.5%
2024-05-11T14:53:37.244157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2335
40.5%
3 662
 
11.5%
1 559
 
9.7%
2 443
 
7.7%
6 334
 
5.8%
C 288
 
5.0%
D 288
 
5.0%
F 288
 
5.0%
H 288
 
5.0%
9 87
 
1.5%
Other values (4) 188
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4608
80.0%
Uppercase Letter 1152
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2335
50.7%
3 662
 
14.4%
1 559
 
12.1%
2 443
 
9.6%
6 334
 
7.2%
9 87
 
1.9%
4 65
 
1.4%
5 62
 
1.3%
7 32
 
0.7%
8 29
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
C 288
25.0%
D 288
25.0%
F 288
25.0%
H 288
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4608
80.0%
Latin 1152
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2335
50.7%
3 662
 
14.4%
1 559
 
12.1%
2 443
 
9.6%
6 334
 
7.2%
9 87
 
1.9%
4 65
 
1.4%
5 62
 
1.3%
7 32
 
0.7%
8 29
 
0.6%
Latin
ValueCountFrequency (%)
C 288
25.0%
D 288
25.0%
F 288
25.0%
H 288
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5760
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2335
40.5%
3 662
 
11.5%
1 559
 
9.7%
2 443
 
7.7%
6 334
 
5.8%
C 288
 
5.0%
D 288
 
5.0%
F 288
 
5.0%
H 288
 
5.0%
9 87
 
1.5%
Other values (4) 188
 
3.3%

인허가일자
Date

Distinct274
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum1989-12-27 00:00:00
Maximum2024-04-29 00:00:00
2024-05-11T14:53:37.810878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:53:38.070863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing288
Missing (%)100.0%
Memory size2.7 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
1
144 
3
107 
4
37 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 144
50.0%
3 107
37.2%
4 37
 
12.8%

Length

2024-05-11T14:53:38.316365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:53:38.489526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 144
50.0%
3 107
37.2%
4 37
 
12.8%

영업상태명
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
영업/정상
144 
폐업
107 
취소/말소/만료/정지/중지
37 

Length

Max length14
Median length9.5
Mean length5.0416667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 144
50.0%
폐업 107
37.2%
취소/말소/만료/정지/중지 37
 
12.8%

Length

2024-05-11T14:53:38.699911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:53:38.901393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 144
50.0%
폐업 107
37.2%
취소/말소/만료/정지/중지 37
 
12.8%

상세영업상태코드
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
13
144 
3
107 
35
37 

Length

Max length2
Median length2
Mean length1.6284722
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row13
4th row13
5th row3

Common Values

ValueCountFrequency (%)
13 144
50.0%
3 107
37.2%
35 37
 
12.8%

Length

2024-05-11T14:53:39.108975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:53:39.309651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 144
50.0%
3 107
37.2%
35 37
 
12.8%

상세영업상태명
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
영업중
144 
폐업
107 
직권말소
37 

Length

Max length4
Median length3.5
Mean length2.7569444
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 144
50.0%
폐업 107
37.2%
직권말소 37
 
12.8%

Length

2024-05-11T14:53:39.519377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:53:39.737420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 144
50.0%
폐업 107
37.2%
직권말소 37
 
12.8%

폐업일자
Date

MISSING 

Distinct108
Distinct (%)76.1%
Missing146
Missing (%)50.7%
Memory size2.4 KiB
Minimum1997-09-19 00:00:00
Maximum2024-04-23 00:00:00
2024-05-11T14:53:39.940157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:53:40.162614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing288
Missing (%)100.0%
Memory size2.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing288
Missing (%)100.0%
Memory size2.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing288
Missing (%)100.0%
Memory size2.7 KiB

전화번호
Text

MISSING 

Distinct184
Distinct (%)94.4%
Missing93
Missing (%)32.3%
Memory size2.4 KiB
2024-05-11T14:53:40.587243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length8
Mean length9.1641026
Min length8

Characters and Unicode

Total characters1787
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique173 ?
Unique (%)88.7%

Sample

1st row479-2089
2nd row3426-1113
3rd row481-9679
4th row440-5300
5th row470-8377
ValueCountFrequency (%)
487-9611 2
 
1.0%
476-4059 2
 
1.0%
484-2244 2
 
1.0%
441-7987 2
 
1.0%
475-6667 2
 
1.0%
476-7274 2
 
1.0%
428-7776 2
 
1.0%
544-1766 2
 
1.0%
479-1813 2
 
1.0%
471-3698 2
 
1.0%
Other values (176) 177
89.8%
2024-05-11T14:53:41.517096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 261
14.6%
- 250
14.0%
8 201
11.2%
7 200
11.2%
0 199
11.1%
2 185
10.4%
6 114
6.4%
1 114
6.4%
3 91
 
5.1%
9 86
 
4.8%
Other values (3) 86
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1530
85.6%
Dash Punctuation 250
 
14.0%
Close Punctuation 4
 
0.2%
Space Separator 3
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 261
17.1%
8 201
13.1%
7 200
13.1%
0 199
13.0%
2 185
12.1%
6 114
7.5%
1 114
7.5%
3 91
 
5.9%
9 86
 
5.6%
5 79
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 250
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1787
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 261
14.6%
- 250
14.0%
8 201
11.2%
7 200
11.2%
0 199
11.1%
2 185
10.4%
6 114
6.4%
1 114
6.4%
3 91
 
5.1%
9 86
 
4.8%
Other values (3) 86
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1787
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 261
14.6%
- 250
14.0%
8 201
11.2%
7 200
11.2%
0 199
11.1%
2 185
10.4%
6 114
6.4%
1 114
6.4%
3 91
 
5.1%
9 86
 
4.8%
Other values (3) 86
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing288
Missing (%)100.0%
Memory size2.7 KiB

소재지우편번호
Categorical

IMBALANCE 

Distinct44
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
194 
134822
 
9
134877
 
6
134825
 
5
134841
 
5
Other values (39)
69 

Length

Max length7
Median length4
Mean length4.6736111
Min length4

Unique

Unique21 ?
Unique (%)7.3%

Sample

1st row134859
2nd row134877
3rd row<NA>
4th row<NA>
5th row134822

Common Values

ValueCountFrequency (%)
<NA> 194
67.4%
134822 9
 
3.1%
134877 6
 
2.1%
134825 5
 
1.7%
134841 5
 
1.7%
134866 5
 
1.7%
134851 5
 
1.7%
134871 4
 
1.4%
134861 4
 
1.4%
134830 3
 
1.0%
Other values (34) 48
 
16.7%

Length

2024-05-11T14:53:41.908061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 194
67.4%
134822 9
 
3.1%
134877 6
 
2.1%
134825 5
 
1.7%
134841 5
 
1.7%
134866 5
 
1.7%
134851 5
 
1.7%
134871 4
 
1.4%
134861 4
 
1.4%
134830 3
 
1.0%
Other values (34) 48
 
16.7%

지번주소
Text

Distinct280
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-05-11T14:53:42.452916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length39
Mean length26.173611
Min length14

Characters and Unicode

Total characters7538
Distinct characters223
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique272 ?
Unique (%)94.4%

Sample

1st row서울특별시 강동구 암사동 501-25번지
2nd row서울특별시 강동구 암사동 502-18번지
3rd row서울특별시 강동구 명일동 324-1번지 401호
4th row서울특별시 강동구 상일동 126번지 3층
5th row서울특별시 강동구 둔촌동 391-4번지 2층
ValueCountFrequency (%)
서울특별시 288
19.6%
강동구 288
19.6%
성내동 76
 
5.2%
천호동 51
 
3.5%
길동 38
 
2.6%
암사동 37
 
2.5%
명일동 32
 
2.2%
3층 27
 
1.8%
둔촌동 25
 
1.7%
2층 21
 
1.4%
Other values (463) 587
39.9%
2024-05-11T14:53:43.360967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1373
18.2%
동 595
 
7.9%
강 303
 
4.0%
시 296
 
3.9%
서 292
 
3.9%
울 289
 
3.8%
구 289
 
3.8%
특 288
 
3.8%
별 288
 
3.8%
1 254
 
3.4%
Other values (213) 3271
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4376
58.1%
Decimal Number 1451
 
19.2%
Space Separator 1373
 
18.2%
Dash Punctuation 239
 
3.2%
Other Punctuation 30
 
0.4%
Uppercase Letter 27
 
0.4%
Close Punctuation 19
 
0.3%
Open Punctuation 19
 
0.3%
Math Symbol 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 595
13.6%
강 303
 
6.9%
시 296
 
6.8%
서 292
 
6.7%
울 289
 
6.6%
구 289
 
6.6%
특 288
 
6.6%
별 288
 
6.6%
지 183
 
4.2%
층 137
 
3.1%
Other values (181) 1416
32.4%
Uppercase Letter
ValueCountFrequency (%)
B 12
44.4%
D 3
 
11.1%
G 2
 
7.4%
R 1
 
3.7%
W 1
 
3.7%
O 1
 
3.7%
T 1
 
3.7%
E 1
 
3.7%
J 1
 
3.7%
C 1
 
3.7%
Other values (3) 3
 
11.1%
Decimal Number
ValueCountFrequency (%)
1 254
17.5%
4 248
17.1%
2 209
14.4%
3 183
12.6%
5 163
11.2%
0 118
8.1%
6 90
 
6.2%
9 66
 
4.5%
7 60
 
4.1%
8 60
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 23
76.7%
@ 3
 
10.0%
/ 2
 
6.7%
. 2
 
6.7%
Space Separator
ValueCountFrequency (%)
1373
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 239
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4376
58.1%
Common 3135
41.6%
Latin 27
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 595
13.6%
강 303
 
6.9%
시 296
 
6.8%
서 292
 
6.7%
울 289
 
6.6%
구 289
 
6.6%
특 288
 
6.6%
별 288
 
6.6%
지 183
 
4.2%
층 137
 
3.1%
Other values (181) 1416
32.4%
Common
ValueCountFrequency (%)
1373
43.8%
1 254
 
8.1%
4 248
 
7.9%
- 239
 
7.6%
2 209
 
6.7%
3 183
 
5.8%
5 163
 
5.2%
0 118
 
3.8%
6 90
 
2.9%
9 66
 
2.1%
Other values (9) 192
 
6.1%
Latin
ValueCountFrequency (%)
B 12
44.4%
D 3
 
11.1%
G 2
 
7.4%
R 1
 
3.7%
W 1
 
3.7%
O 1
 
3.7%
T 1
 
3.7%
E 1
 
3.7%
J 1
 
3.7%
C 1
 
3.7%
Other values (3) 3
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4376
58.1%
ASCII 3162
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1373
43.4%
1 254
 
8.0%
4 248
 
7.8%
- 239
 
7.6%
2 209
 
6.6%
3 183
 
5.8%
5 163
 
5.2%
0 118
 
3.7%
6 90
 
2.8%
9 66
 
2.1%
Other values (22) 219
 
6.9%
Hangul
ValueCountFrequency (%)
동 595
13.6%
강 303
 
6.9%
시 296
 
6.8%
서 292
 
6.7%
울 289
 
6.6%
구 289
 
6.6%
특 288
 
6.6%
별 288
 
6.6%
지 183
 
4.2%
층 137
 
3.1%
Other values (181) 1416
32.4%

도로명주소
Text

MISSING 

Distinct269
Distinct (%)97.5%
Missing12
Missing (%)4.2%
Memory size2.4 KiB
2024-05-11T14:53:43.908156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length47
Mean length32.115942
Min length22

Characters and Unicode

Total characters8864
Distinct characters238
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique262 ?
Unique (%)94.9%

Sample

1st row서울특별시 강동구 올림픽로 777 (암사동)
2nd row서울특별시 강동구 양재대로 1626 (명일동)
3rd row서울특별시 강동구 구천면로93길 12 (상일동, 고덕사회체육센터)
4th row서울특별시 강동구 천호대로159길 13, 2층동 (천호동)
5th row서울특별시 강동구 고덕로 96 (암사동,3층)
ValueCountFrequency (%)
서울특별시 276
 
16.2%
강동구 276
 
16.2%
성내동 61
 
3.6%
천호동 40
 
2.4%
양재대로 35
 
2.1%
길동 34
 
2.0%
천호대로 30
 
1.8%
암사동 30
 
1.8%
올림픽로 28
 
1.6%
명일동 27
 
1.6%
Other values (490) 863
50.8%
2024-05-11T14:53:44.641730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1475
 
16.6%
동 603
 
6.8%
강 298
 
3.4%
구 298
 
3.4%
시 284
 
3.2%
) 282
 
3.2%
( 282
 
3.2%
서 281
 
3.2%
1 280
 
3.2%
울 278
 
3.1%
Other values (228) 4503
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5249
59.2%
Space Separator 1475
 
16.6%
Decimal Number 1258
 
14.2%
Close Punctuation 282
 
3.2%
Open Punctuation 282
 
3.2%
Other Punctuation 272
 
3.1%
Uppercase Letter 23
 
0.3%
Dash Punctuation 19
 
0.2%
Math Symbol 3
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 603
 
11.5%
강 298
 
5.7%
구 298
 
5.7%
시 284
 
5.4%
서 281
 
5.4%
울 278
 
5.3%
특 276
 
5.3%
별 276
 
5.3%
로 272
 
5.2%
호 138
 
2.6%
Other values (199) 2245
42.8%
Decimal Number
ValueCountFrequency (%)
1 280
22.3%
2 157
12.5%
3 149
11.8%
5 120
9.5%
0 111
 
8.8%
4 104
 
8.3%
6 86
 
6.8%
8 86
 
6.8%
9 84
 
6.7%
7 81
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
B 13
56.5%
D 2
 
8.7%
E 1
 
4.3%
R 1
 
4.3%
W 1
 
4.3%
O 1
 
4.3%
T 1
 
4.3%
H 1
 
4.3%
S 1
 
4.3%
G 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 269
98.9%
. 2
 
0.7%
/ 1
 
0.4%
Space Separator
ValueCountFrequency (%)
1475
100.0%
Close Punctuation
ValueCountFrequency (%)
) 282
100.0%
Open Punctuation
ValueCountFrequency (%)
( 282
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5249
59.2%
Common 3591
40.5%
Latin 24
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 603
 
11.5%
강 298
 
5.7%
구 298
 
5.7%
시 284
 
5.4%
서 281
 
5.4%
울 278
 
5.3%
특 276
 
5.3%
별 276
 
5.3%
로 272
 
5.2%
호 138
 
2.6%
Other values (199) 2245
42.8%
Common
ValueCountFrequency (%)
1475
41.1%
) 282
 
7.9%
( 282
 
7.9%
1 280
 
7.8%
, 269
 
7.5%
2 157
 
4.4%
3 149
 
4.1%
5 120
 
3.3%
0 111
 
3.1%
4 104
 
2.9%
Other values (8) 362
 
10.1%
Latin
ValueCountFrequency (%)
B 13
54.2%
D 2
 
8.3%
E 1
 
4.2%
R 1
 
4.2%
W 1
 
4.2%
O 1
 
4.2%
T 1
 
4.2%
H 1
 
4.2%
Ⅲ 1
 
4.2%
S 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5249
59.2%
ASCII 3614
40.8%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1475
40.8%
) 282
 
7.8%
( 282
 
7.8%
1 280
 
7.7%
, 269
 
7.4%
2 157
 
4.3%
3 149
 
4.1%
5 120
 
3.3%
0 111
 
3.1%
4 104
 
2.9%
Other values (18) 385
 
10.7%
Hangul
ValueCountFrequency (%)
동 603
 
11.5%
강 298
 
5.7%
구 298
 
5.7%
시 284
 
5.4%
서 281
 
5.4%
울 278
 
5.3%
특 276
 
5.3%
별 276
 
5.3%
로 272
 
5.2%
호 138
 
2.6%
Other values (199) 2245
42.8%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct97
Distinct (%)44.9%
Missing72
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean6522.1343
Minimum5211
Maximum134881
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-11T14:53:44.889204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5211
5-th percentile5225.5
Q15267.75
median5335
Q35378.25
95-th percentile5407
Maximum134881
Range129670
Interquartile range (IQR)110.5

Descriptive statistics

Standard deviation12434.795
Coefficient of variation (CV)1.906553
Kurtosis105.45726
Mean6522.1343
Median Absolute Deviation (MAD)56
Skewness10.318826
Sum1408781
Variance1.5462412 × 108
MonotonicityNot monotonic
2024-05-11T14:53:45.152797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5353 9
 
3.1%
5269 9
 
3.1%
5241 6
 
2.1%
5408 6
 
2.1%
5257 6
 
2.1%
5264 5
 
1.7%
5335 5
 
1.7%
5405 5
 
1.7%
5404 5
 
1.7%
5306 4
 
1.4%
Other values (87) 156
54.2%
(Missing) 72
25.0%
ValueCountFrequency (%)
5211 4
1.4%
5219 1
 
0.3%
5222 3
1.0%
5223 1
 
0.3%
5224 2
0.7%
5226 3
1.0%
5229 2
0.7%
5232 1
 
0.3%
5236 1
 
0.3%
5237 3
1.0%
ValueCountFrequency (%)
134881 1
 
0.3%
134817 1
 
0.3%
5415 2
 
0.7%
5408 6
2.1%
5407 3
1.0%
5405 5
1.7%
5404 5
1.7%
5403 1
 
0.3%
5402 4
1.4%
5401 1
 
0.3%

사업장명
Text

Distinct281
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-05-11T14:53:45.860349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length20
Mean length7.8819444
Min length2

Characters and Unicode

Total characters2270
Distinct characters333
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique274 ?
Unique (%)95.1%

Sample

1st row장군헬스
2nd row현대헬스
3rd row나우휘트니스
4th row한국시각장애인복지재단고덕사회체육센타
5th row길동헬스
ValueCountFrequency (%)
휘트니스 12
 
2.6%
gym 10
 
2.2%
pt 9
 
2.0%
스포애니 8
 
1.7%
피트니스 6
 
1.3%
커브스 5
 
1.1%
크로스핏 5
 
1.1%
암사점 5
 
1.1%
센터 4
 
0.9%
헬스 4
 
0.9%
Other values (334) 390
85.2%
2024-05-11T14:53:46.722547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 221
 
9.7%
171
 
7.5%
헬 81
 
3.6%
니 73
 
3.2%
트 73
 
3.2%
휘 44
 
1.9%
럽 42
 
1.9%
점 38
 
1.7%
이 37
 
1.6%
짐 37
 
1.6%
Other values (323) 1453
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1737
76.5%
Uppercase Letter 203
 
8.9%
Space Separator 171
 
7.5%
Lowercase Letter 77
 
3.4%
Decimal Number 24
 
1.1%
Open Punctuation 22
 
1.0%
Close Punctuation 22
 
1.0%
Other Punctuation 9
 
0.4%
Other Symbol 2
 
0.1%
Dash Punctuation 1
 
< 0.1%
Other values (2) 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 221
 
12.7%
헬 81
 
4.7%
니 73
 
4.2%
트 73
 
4.2%
휘 44
 
2.5%
럽 42
 
2.4%
점 38
 
2.2%
이 37
 
2.1%
짐 37
 
2.1%
클 36
 
2.1%
Other values (258) 1055
60.7%
Uppercase Letter
ValueCountFrequency (%)
P 27
13.3%
T 23
11.3%
M 19
 
9.4%
Y 16
 
7.9%
O 15
 
7.4%
G 15
 
7.4%
A 11
 
5.4%
S 11
 
5.4%
E 10
 
4.9%
C 8
 
3.9%
Other values (14) 48
23.6%
Lowercase Letter
ValueCountFrequency (%)
o 11
14.3%
y 11
14.3%
m 6
 
7.8%
e 6
 
7.8%
r 5
 
6.5%
d 4
 
5.2%
a 4
 
5.2%
t 4
 
5.2%
s 4
 
5.2%
n 4
 
5.2%
Other values (10) 18
23.4%
Decimal Number
ValueCountFrequency (%)
1 5
20.8%
0 4
16.7%
2 4
16.7%
8 3
12.5%
3 2
 
8.3%
4 2
 
8.3%
9 1
 
4.2%
7 1
 
4.2%
6 1
 
4.2%
5 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
& 6
66.7%
. 2
 
22.2%
' 1
 
11.1%
Other Symbol
ValueCountFrequency (%)
㈜ 1
50.0%
℃ 1
50.0%
Space Separator
ValueCountFrequency (%)
171
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1738
76.6%
Latin 280
 
12.3%
Common 252
 
11.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 221
 
12.7%
헬 81
 
4.7%
니 73
 
4.2%
트 73
 
4.2%
휘 44
 
2.5%
럽 42
 
2.4%
점 38
 
2.2%
이 37
 
2.1%
짐 37
 
2.1%
클 36
 
2.1%
Other values (259) 1056
60.8%
Latin
ValueCountFrequency (%)
P 27
 
9.6%
T 23
 
8.2%
M 19
 
6.8%
Y 16
 
5.7%
O 15
 
5.4%
G 15
 
5.4%
A 11
 
3.9%
S 11
 
3.9%
o 11
 
3.9%
y 11
 
3.9%
Other values (34) 121
43.2%
Common
ValueCountFrequency (%)
171
67.9%
( 22
 
8.7%
) 22
 
8.7%
& 6
 
2.4%
1 5
 
2.0%
0 4
 
1.6%
2 4
 
1.6%
8 3
 
1.2%
3 2
 
0.8%
. 2
 
0.8%
Other values (10) 11
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1737
76.5%
ASCII 531
 
23.4%
None 1
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 221
 
12.7%
헬 81
 
4.7%
니 73
 
4.2%
트 73
 
4.2%
휘 44
 
2.5%
럽 42
 
2.4%
점 38
 
2.2%
이 37
 
2.1%
짐 37
 
2.1%
클 36
 
2.1%
Other values (258) 1055
60.7%
ASCII
ValueCountFrequency (%)
171
32.2%
P 27
 
5.1%
T 23
 
4.3%
( 22
 
4.1%
) 22
 
4.1%
M 19
 
3.6%
Y 16
 
3.0%
O 15
 
2.8%
G 15
 
2.8%
A 11
 
2.1%
Other values (53) 190
35.8%
None
ValueCountFrequency (%)
㈜ 1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

최종수정일자
Date

Distinct269
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum2003-04-11 10:24:39
Maximum2024-05-09 15:15:40
2024-05-11T14:53:46.957155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:53:47.218200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
I
150 
U
138 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 150
52.1%
U 138
47.9%

Length

2024-05-11T14:53:47.449310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:53:47.657024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 150
52.1%
u 138
47.9%

데이터갱신일자
Date

Distinct138
Distinct (%)47.9%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:01:00
2024-05-11T14:53:47.875646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:53:48.119915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing288
Missing (%)100.0%
Memory size2.7 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct225
Distinct (%)80.4%
Missing8
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean212196.54
Minimum210630.21
Maximum215423.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-11T14:53:48.364010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210630.21
5-th percentile210870.93
Q1211306.33
median211928.84
Q3212668.03
95-th percentile214939.75
Maximum215423.76
Range4793.5552
Interquartile range (IQR)1361.6985

Descriptive statistics

Standard deviation1129.1227
Coefficient of variation (CV)0.0053211173
Kurtosis0.99551802
Mean212196.54
Median Absolute Deviation (MAD)688.11908
Skewness1.1533914
Sum59415032
Variance1274918
MonotonicityNot monotonic
2024-05-11T14:53:48.559361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
213607.080568254 4
 
1.4%
211750.89622364 4
 
1.4%
212081.019857419 3
 
1.0%
212589.743486515 3
 
1.0%
211532.353686299 3
 
1.0%
212103.610058511 3
 
1.0%
210970.75707265 3
 
1.0%
211853.659176909 3
 
1.0%
211279.030241561 3
 
1.0%
213115.129485478 3
 
1.0%
Other values (215) 248
86.1%
(Missing) 8
 
2.8%
ValueCountFrequency (%)
210630.209443525 1
0.3%
210671.486635695 1
0.3%
210704.803064272 2
0.7%
210726.051692973 1
0.3%
210748.16254024 2
0.7%
210750.209556247 2
0.7%
210757.191239958 1
0.3%
210804.329104051 1
0.3%
210825.17728788 1
0.3%
210858.620101788 1
0.3%
ValueCountFrequency (%)
215423.76462869 1
0.3%
215384.844269 1
0.3%
215377.770879705 2
0.7%
215356.343212895 1
0.3%
215333.558347275 1
0.3%
215314.746342111 1
0.3%
215289.815449411 1
0.3%
215243.166746909 1
0.3%
215212.435233218 1
0.3%
215188.912927145 1
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct225
Distinct (%)80.4%
Missing8
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean448841.91
Minimum446702.38
Maximum452233.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-11T14:53:48.750382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446702.38
5-th percentile446995.89
Q1447955.26
median448620.16
Q3449824.72
95-th percentile450709.01
Maximum452233.69
Range5531.3011
Interquartile range (IQR)1869.4612

Descriptive statistics

Standard deviation1203.9207
Coefficient of variation (CV)0.0026822822
Kurtosis-0.79498612
Mean448841.91
Median Absolute Deviation (MAD)1070.9345
Skewness0.21888412
Sum1.2567574 × 108
Variance1449425
MonotonicityNot monotonic
2024-05-11T14:53:48.942959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450119.168256979 4
 
1.4%
448202.632546787 4
 
1.4%
448209.124823551 3
 
1.0%
447977.592820866 3
 
1.0%
448182.588454494 3
 
1.0%
447564.027288567 3
 
1.0%
448713.31669728 3
 
1.0%
449388.465849174 3
 
1.0%
448548.819716671 3
 
1.0%
448395.566574387 3
 
1.0%
Other values (215) 248
86.1%
(Missing) 8
 
2.8%
ValueCountFrequency (%)
446702.384306431 1
0.3%
446796.048759474 1
0.3%
446825.419837275 1
0.3%
446840.380598728 1
0.3%
446882.690089639 1
0.3%
446889.128359606 1
0.3%
446894.680049364 1
0.3%
446926.627141526 2
0.7%
446930.379410235 1
0.3%
446932.064818443 1
0.3%
ValueCountFrequency (%)
452233.685440247 2
0.7%
451524.19252461 1
0.3%
451519.404046335 1
0.3%
451454.560635751 1
0.3%
451422.369618004 1
0.3%
451066.613097815 1
0.3%
450949.406518618 1
0.3%
450915.612786573 1
0.3%
450874.52246226 1
0.3%
450753.189936652 1
0.3%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
체력단련장업
197 
<NA>
91 

Length

Max length6
Median length6
Mean length5.3680556
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체력단련장업 197
68.4%
<NA> 91
31.6%

Length

2024-05-11T14:53:49.219023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:53:49.406767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체력단련장업 197
68.4%
na 91
31.6%

공사립구분명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
사립
197 
<NA>
91 

Length

Max length4
Median length2
Mean length2.6319444
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 197
68.4%
<NA> 91
31.6%

Length

2024-05-11T14:53:49.586427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:53:49.735320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 197
68.4%
na 91
31.6%

보험가입여부코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
259 
0
28 
Y
 
1

Length

Max length4
Median length4
Mean length3.6979167
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 259
89.9%
0 28
 
9.7%
Y 1
 
0.3%

Length

2024-05-11T14:53:49.910247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:53:50.043268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 259
89.9%
0 28
 
9.7%
y 1
 
0.3%

지도자수
Categorical

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
166 
0
53 
1
51 
2
18 

Length

Max length4
Median length4
Mean length2.7291667
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 166
57.6%
0 53
 
18.4%
1 51
 
17.7%
2 18
 
6.2%

Length

2024-05-11T14:53:50.226105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:53:50.380837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 166
57.6%
0 53
 
18.4%
1 51
 
17.7%
2 18
 
6.2%

건축물동수
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
185 
0
62 
1
41 

Length

Max length4
Median length4
Mean length2.9270833
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 185
64.2%
0 62
 
21.5%
1 41
 
14.2%

Length

2024-05-11T14:53:50.906844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:53:51.083653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 185
64.2%
0 62
 
21.5%
1 41
 
14.2%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct96
Distinct (%)66.7%
Missing144
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean4266.0267
Minimum0
Maximum108316.04
Zeros46
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-11T14:53:51.262147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median892.6
Q33149.215
95-th percentile11833.863
Maximum108316.04
Range108316.04
Interquartile range (IQR)3149.215

Descriptive statistics

Standard deviation13682.384
Coefficient of variation (CV)3.2072898
Kurtosis46.346896
Mean4266.0267
Median Absolute Deviation (MAD)892.6
Skewness6.4985477
Sum614307.85
Variance1.8720763 × 108
MonotonicityNot monotonic
2024-05-11T14:53:51.469971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 46
 
16.0%
1025.51 2
 
0.7%
4801.29 2
 
0.7%
11339.18 2
 
0.7%
5661.0 1
 
0.3%
494.32 1
 
0.3%
831.06 1
 
0.3%
521.99 1
 
0.3%
9066.23 1
 
0.3%
2447.9 1
 
0.3%
Other values (86) 86
29.9%
(Missing) 144
50.0%
ValueCountFrequency (%)
0.0 46
16.0%
204.93 1
 
0.3%
259.0 1
 
0.3%
263.4 1
 
0.3%
286.32 1
 
0.3%
382.12 1
 
0.3%
429.52 1
 
0.3%
437.24 1
 
0.3%
464.3 1
 
0.3%
494.32 1
 
0.3%
ValueCountFrequency (%)
108316.04 1
0.3%
108316.0 1
0.3%
41308.0 1
0.3%
31341.0 1
0.3%
27099.11 1
0.3%
24287.79 1
0.3%
23904.0 1
0.3%
11921.16 1
0.3%
11339.18 2
0.7%
9409.25 1
0.3%

회원모집총인원
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)20.8%
Missing235
Missing (%)81.6%
Infinite0
Infinite (%)0.0%
Mean84.90566
Minimum0
Maximum2000
Zeros38
Zeros (%)13.2%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-11T14:53:51.626354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q320
95-th percentile380
Maximum2000
Range2000
Interquartile range (IQR)20

Descriptive statistics

Standard deviation311.06283
Coefficient of variation (CV)3.6636289
Kurtosis29.523352
Mean84.90566
Median Absolute Deviation (MAD)0
Skewness5.2114639
Sum4500
Variance96760.087
MonotonicityNot monotonic
2024-05-11T14:53:51.787585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 38
 
13.2%
50 4
 
1.4%
20 3
 
1.0%
300 1
 
0.3%
2000 1
 
0.3%
500 1
 
0.3%
120 1
 
0.3%
40 1
 
0.3%
80 1
 
0.3%
200 1
 
0.3%
(Missing) 235
81.6%
ValueCountFrequency (%)
0 38
13.2%
20 3
 
1.0%
40 1
 
0.3%
50 4
 
1.4%
80 1
 
0.3%
120 1
 
0.3%
200 1
 
0.3%
300 1
 
0.3%
500 1
 
0.3%
1000 1
 
0.3%
ValueCountFrequency (%)
2000 1
 
0.3%
1000 1
 
0.3%
500 1
 
0.3%
300 1
 
0.3%
200 1
 
0.3%
120 1
 
0.3%
80 1
 
0.3%
50 4
1.4%
40 1
 
0.3%
20 3
1.0%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing288
Missing (%)100.0%
Memory size2.7 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing288
Missing (%)100.0%
Memory size2.7 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03240000CDFH330106198900000119891227<NA>3폐업3폐업20010322<NA><NA><NA>479-2089<NA>134859서울특별시 강동구 암사동 501-25번지<NA><NA>장군헬스2003-04-11 10:24:39I2018-08-31 23:59:59.0<NA>211280.850397449746.708119체력단련장업사립<NA>000.0<NA><NA><NA>
13240000CDFH330106198900000219891230<NA>3폐업3폐업20060116<NA><NA><NA>3426-1113<NA>134877서울특별시 강동구 암사동 502-18번지서울특별시 강동구 올림픽로 777 (암사동)<NA>현대헬스2006-01-16 15:01:52I2018-08-31 23:59:59.0<NA>211185.943744449813.684359체력단련장업사립0<NA><NA><NA><NA><NA><NA>
23240000CDFH330106198900000319891230<NA>1영업/정상13영업중<NA><NA><NA><NA>481-9679<NA><NA>서울특별시 강동구 명일동 324-1번지 401호서울특별시 강동구 양재대로 1626 (명일동)5292나우휘트니스2017-10-12 14:58:24I2018-08-31 23:59:59.0<NA>212681.624988449827.10146체력단련장업사립<NA><NA>1<NA><NA><NA><NA>
33240000CDFH330106199000000119900118<NA>1영업/정상13영업중<NA><NA><NA><NA>440-5300<NA><NA>서울특별시 강동구 상일동 126번지 3층서울특별시 강동구 구천면로93길 12 (상일동, 고덕사회체육센터)5275한국시각장애인복지재단고덕사회체육센타2020-04-17 11:30:51U2020-04-19 02:40:00.0<NA>214866.322883449869.026666체력단련장업사립<NA><NA>00.0<NA><NA><NA>
43240000CDFH330106199000000219900120<NA>3폐업3폐업20010310<NA><NA><NA>470-8377<NA>134822서울특별시 강동구 둔촌동 391-4번지 2층<NA><NA>길동헬스2003-04-11 10:24:39I2018-08-31 23:59:59.0<NA><NA><NA>체력단련장업사립<NA>000.0<NA><NA><NA>
53240000CDFH330106199000000319900226<NA>3폐업3폐업19981207<NA><NA><NA>479-3064<NA>134864서울특별시 강동구 천호동 453-10번지 2층동서울특별시 강동구 천호대로159길 13, 2층동 (천호동)<NA>백제헬스클럽2003-04-11 10:24:39I2018-08-31 23:59:59.0<NA>211206.540974448438.130467체력단련장업사립<NA>000.0<NA><NA><NA>
63240000CDFH330106199000000419900801<NA>3폐업3폐업20020503<NA><NA><NA>488-0815<NA>134822서울특별시 강동구 둔촌동 392-1번지 지층<NA><NA>고려헬스2003-04-11 10:24:39I2018-08-31 23:59:59.0<NA><NA><NA>체력단련장업사립<NA>000.0<NA><NA><NA>
73240000CDFH330106199200000119920612<NA>3폐업3폐업19990406<NA><NA><NA>441-7987<NA>134858서울특별시 강동구 암사동 452번지 3층서울특별시 강동구 고덕로 96 (암사동,3층)<NA>건우헬스크럽2003-04-11 10:24:39I2018-08-31 23:59:59.0<NA>211936.124217450260.975208체력단련장업사립<NA>000.0<NA><NA><NA>
83240000CDFH330106199200000219921230<NA>3폐업3폐업20001204<NA><NA><NA>487-9611<NA>134866서울특별시 강동구 천호동 234-6번지 .235, 2층서울특별시 강동구 구천면로 304 (천호동,.235, 2층)<NA>진흥체력관리센터2003-04-11 10:24:39I2018-08-31 23:59:59.0<NA>211853.659177449388.465849체력단련장업사립<NA>000.0<NA><NA><NA>
93240000CDFH330106199400000119940412<NA>3폐업3폐업19970919<NA><NA><NA><NA><NA>134848서울특별시 강동구 성내동 456-13번지 지층서울특별시 강동구 성내로6길 33 (성내동,지층)<NA>씨티헬스크럽2003-04-11 10:24:39I2018-08-31 23:59:59.0<NA>210757.19124447342.773636체력단련장업사립<NA>000.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
2783240000CDFH33010620230000222023-12-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 426-17서울특별시 강동구 양재대로89길 54 (성내동)5403프리원핏 강동성내점2023-12-07 09:33:42I2022-11-02 00:09:00.0<NA>211655.931535447229.811964<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2793240000CDFH33010620230000232023-12-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 319-33 홍익빌딩(지하 2호)서울특별시 강동구 올림픽로 552, 홍익빌딩 지하 2호 (성내동)5391RP재활운동센터2023-12-11 09:21:44I2022-11-01 23:03:00.0<NA>210630.209444447629.137289<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2803240000CDFH33010620240000012024-01-05<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2053-8211<NA><NA>서울특별시 강동구 상일동 500 삼성엔지니어링(지하 1층)서울특별시 강동구 상일로6길 26, 삼성엔지니어링 지하 1층 (상일동)5288엔지니어링 피트니스 센터2024-02-20 14:24:20U2023-12-01 22:02:00.0<NA>215423.764629449636.964226<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2813240000CDFH33010620240000022024-01-11<NA>1영업/정상13영업중<NA><NA><NA><NA>02-474-9618<NA><NA>서울특별시 강동구 성내동 609 천호역 효성해링턴타워 지하1층 B1~B4호서울특별시 강동구 올림픽로 610, 지하1층 B1~B4호 (성내동, 천호역 효성해링턴타워)5385천호역점 스포애니 (주)케이디 헬스케어2024-01-11 11:19:49I2023-11-30 23:03:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2823240000CDFH33010620240000032024-01-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 462-37 B1층서울특별시 강동구 성내로14길 42, B1층 (성내동)5400웰피티스튜디오2024-02-02 10:33:31U2023-12-02 00:04:00.0<NA>211073.362088447118.01141<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2833240000CDFH33010620240000042024-01-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 길동 414-5 골드클래스 301호서울특별시 강동구 양재대로111길 27, 301호 (길동, 골드클래스)5353모두의운동2024-01-23 09:30:27I2023-11-30 22:05:00.0<NA>212126.200127448339.048387<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2843240000CDFH33010620240000052024-04-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 451 이안 강동 컴홈스테이 1차서울특별시 강동구 천호대로 1053, 이안 강동 컴홈스테이 1차 6층 (천호동)5336컴홈스테이 웰컴 짐2024-04-02 17:23:08I2023-12-04 00:04:00.0<NA>211330.148489448364.458423<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2853240000CDFH33010620240000062024-04-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 고덕동 688 래미안힐스테이트고덕서울특별시 강동구 아리수로50길 50 (고덕동, 래미안힐스테이트고덕)5229이재홍 피트니스2024-04-03 14:54:28I2023-12-04 00:05:00.0<NA>212926.089913450751.524332<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2863240000CDFH33010620240000072024-04-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 둔촌동 630 둔촌푸르지오아파트서울특별시 강동구 명일로 176, 둔촌푸르지오아파트 상가 지하 1층 (둔촌동)5360엠에프 휘트니스2024-04-23 14:47:42I2023-12-03 22:05:00.0<NA>212880.468341447998.456215<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2873240000CDFH33010620240000082024-04-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 164-1 씨제이나인파크 306호서울특별시 강동구 천호대로 1078, 3층 306호 (성내동, 씨제이나인파크)5380리핏앤케어2024-04-29 13:57:37I2023-12-05 00:01:00.0<NA>211532.353686448182.588454<NA><NA><NA><NA><NA><NA><NA><NA><NA>