Overview

Dataset statistics

Number of variables34
Number of observations303
Missing cells3019
Missing cells (%)29.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory85.6 KiB
Average record size in memory289.4 B

Variable types

Categorical12
Text6
DateTime4
Unsupported7
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-19851/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 is highly imbalanced (56.1%)Imbalance
보험가입여부코드 is highly imbalanced (60.9%)Imbalance
인허가취소일자 has 303 (100.0%) missing valuesMissing
폐업일자 has 136 (44.9%) missing valuesMissing
휴업시작일자 has 303 (100.0%) missing valuesMissing
휴업종료일자 has 303 (100.0%) missing valuesMissing
재개업일자 has 303 (100.0%) missing valuesMissing
전화번호 has 65 (21.5%) missing valuesMissing
소재지면적 has 303 (100.0%) missing valuesMissing
소재지우편번호 has 176 (58.1%) missing valuesMissing
도로명주소 has 18 (5.9%) missing valuesMissing
도로명우편번호 has 101 (33.3%) missing valuesMissing
좌표정보(X) has 12 (4.0%) missing valuesMissing
좌표정보(Y) has 12 (4.0%) missing valuesMissing
건축물연면적 has 127 (41.9%) missing valuesMissing
회원모집총인원 has 251 (82.8%) missing valuesMissing
세부업종명 has 303 (100.0%) missing valuesMissing
법인명 has 303 (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
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 57 (18.8%) zerosZeros
회원모집총인원 has 33 (10.9%) zerosZeros

Reproduction

Analysis started2024-05-18 02:16:47.024699
Analysis finished2024-05-18 02:16:48.111101
Duration1.09 second
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
3240000
303 

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 303
100.0%

Length

2024-05-18T11:16:48.306428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:16:48.609087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 303
100.0%

관리번호
Text

UNIQUE 

Distinct303
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-05-18T11:16:49.056180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters6060
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

Unique303 ?
Unique (%)100.0%

Sample

1st rowCDFH3301021989000001
2nd rowCDFH3301021989000002
3rd rowCDFH3301021989000003
4th rowCDFH3301021989000004
5th rowCDFH3301021989000005
ValueCountFrequency (%)
cdfh3301021989000001 1
 
0.3%
cdfh3301022010000003 1
 
0.3%
cdfh3301022011000013 1
 
0.3%
cdfh3301022011000012 1
 
0.3%
cdfh3301022011000011 1
 
0.3%
cdfh3301022011000010 1
 
0.3%
cdfh3301022011000009 1
 
0.3%
cdfh3301022011000008 1
 
0.3%
cdfh3301022011000007 1
 
0.3%
cdfh3301022011000006 1
 
0.3%
Other values (293) 293
96.7%
2024-05-18T11:16:49.793010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2417
39.9%
3 679
 
11.2%
2 639
 
10.5%
1 619
 
10.2%
C 303
 
5.0%
D 303
 
5.0%
F 303
 
5.0%
H 303
 
5.0%
9 217
 
3.6%
4 71
 
1.2%
Other values (4) 206
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4848
80.0%
Uppercase Letter 1212
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2417
49.9%
3 679
 
14.0%
2 639
 
13.2%
1 619
 
12.8%
9 217
 
4.5%
4 71
 
1.5%
5 59
 
1.2%
8 52
 
1.1%
6 49
 
1.0%
7 46
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
C 303
25.0%
D 303
25.0%
F 303
25.0%
H 303
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4848
80.0%
Latin 1212
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2417
49.9%
3 679
 
14.0%
2 639
 
13.2%
1 619
 
12.8%
9 217
 
4.5%
4 71
 
1.5%
5 59
 
1.2%
8 52
 
1.1%
6 49
 
1.0%
7 46
 
0.9%
Latin
ValueCountFrequency (%)
C 303
25.0%
D 303
25.0%
F 303
25.0%
H 303
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6060
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2417
39.9%
3 679
 
11.2%
2 639
 
10.5%
1 619
 
10.2%
C 303
 
5.0%
D 303
 
5.0%
F 303
 
5.0%
H 303
 
5.0%
9 217
 
3.6%
4 71
 
1.2%
Other values (4) 206
 
3.4%

인허가일자
Date

Distinct273
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum1989-12-02 00:00:00
Maximum2024-05-02 00:00:00
2024-05-18T11:16:50.193584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:16:50.644008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing303
Missing (%)100.0%
Memory size2.8 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
1
136 
3
131 
4
36 

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 (%)
1 136
44.9%
3 131
43.2%
4 36
 
11.9%

Length

2024-05-18T11:16:50.986574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:16:51.416104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 136
44.9%
3 131
43.2%
4 36
 
11.9%

영업상태명
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
영업/정상
136 
폐업
131 
취소/말소/만료/정지/중지
36 

Length

Max length14
Median length5
Mean length4.7722772
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 (%)
영업/정상 136
44.9%
폐업 131
43.2%
취소/말소/만료/정지/중지 36
 
11.9%

Length

2024-05-18T11:16:51.722445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:16:52.078312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 136
44.9%
폐업 131
43.2%
취소/말소/만료/정지/중지 36
 
11.9%

상세영업상태코드
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
13
136 
3
131 
35
36 

Length

Max length2
Median length2
Mean length1.5676568
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 136
44.9%
3 131
43.2%
35 36
 
11.9%

Length

2024-05-18T11:16:52.460148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:16:52.797393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 136
44.9%
3 131
43.2%
35 36
 
11.9%

상세영업상태명
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
영업중
136 
폐업
131 
직권말소
36 

Length

Max length4
Median length3
Mean length2.6864686
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 136
44.9%
폐업 131
43.2%
직권말소 36
 
11.9%

Length

2024-05-18T11:16:53.236738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:16:53.600869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 136
44.9%
폐업 131
43.2%
직권말소 36
 
11.9%

폐업일자
Date

MISSING 

Distinct132
Distinct (%)79.0%
Missing136
Missing (%)44.9%
Memory size2.5 KiB
Minimum1997-07-07 00:00:00
Maximum2024-05-01 00:00:00
2024-05-18T11:16:53.977352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:16:54.610433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing303
Missing (%)100.0%
Memory size2.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing303
Missing (%)100.0%
Memory size2.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing303
Missing (%)100.0%
Memory size2.8 KiB

전화번호
Text

MISSING 

Distinct212
Distinct (%)89.1%
Missing65
Missing (%)21.5%
Memory size2.5 KiB
2024-05-18T11:16:55.219432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.8403361
Min length8

Characters and Unicode

Total characters2104
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

Unique188 ?
Unique (%)79.0%

Sample

1st row429-9595
2nd row442-1038
3rd row470-9393
4th row477-0322
5th row02-6431-8407
ValueCountFrequency (%)
477-7333 3
 
1.3%
488-0322 3
 
1.3%
488-1230 2
 
0.8%
477-1318 2
 
0.8%
426-5153 2
 
0.8%
485-7022 2
 
0.8%
427-6027 2
 
0.8%
3426-3661 2
 
0.8%
483-8685 2
 
0.8%
488-0808 2
 
0.8%
Other values (202) 216
90.8%
2024-05-18T11:16:56.252840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 329
15.6%
- 290
13.8%
2 252
12.0%
7 197
9.4%
0 197
9.4%
8 176
8.4%
6 152
7.2%
3 144
6.8%
1 143
6.8%
9 109
 
5.2%
Other values (3) 115
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1808
85.9%
Dash Punctuation 290
 
13.8%
Close Punctuation 4
 
0.2%
Open Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 329
18.2%
2 252
13.9%
7 197
10.9%
0 197
10.9%
8 176
9.7%
6 152
8.4%
3 144
8.0%
1 143
7.9%
9 109
 
6.0%
5 109
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 290
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2104
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 329
15.6%
- 290
13.8%
2 252
12.0%
7 197
9.4%
0 197
9.4%
8 176
8.4%
6 152
7.2%
3 144
6.8%
1 143
6.8%
9 109
 
5.2%
Other values (3) 115
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2104
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 329
15.6%
- 290
13.8%
2 252
12.0%
7 197
9.4%
0 197
9.4%
8 176
8.4%
6 152
7.2%
3 144
6.8%
1 143
6.8%
9 109
 
5.2%
Other values (3) 115
 
5.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing303
Missing (%)100.0%
Memory size2.8 KiB

소재지우편번호
Text

MISSING 

Distinct57
Distinct (%)44.9%
Missing176
Missing (%)58.1%
Memory size2.5 KiB
2024-05-18T11:16:56.727884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.015748
Min length6

Characters and Unicode

Total characters764
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

Unique25 ?
Unique (%)19.7%

Sample

1st row134080
2nd row134809
3rd row134817
4th row134853
5th row134817
ValueCountFrequency (%)
134817 8
 
6.3%
134830 7
 
5.5%
134806 6
 
4.7%
134861 5
 
3.9%
134100 5
 
3.9%
134850 5
 
3.9%
134837 4
 
3.1%
134840 4
 
3.1%
134822 4
 
3.1%
134819 3
 
2.4%
Other values (47) 76
59.8%
2024-05-18T11:16:57.630674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 168
22.0%
3 149
19.5%
4 144
18.8%
8 130
17.0%
0 45
 
5.9%
7 31
 
4.1%
6 30
 
3.9%
5 29
 
3.8%
2 26
 
3.4%
9 10
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 762
99.7%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 168
22.0%
3 149
19.6%
4 144
18.9%
8 130
17.1%
0 45
 
5.9%
7 31
 
4.1%
6 30
 
3.9%
5 29
 
3.8%
2 26
 
3.4%
9 10
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 764
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 168
22.0%
3 149
19.5%
4 144
18.8%
8 130
17.0%
0 45
 
5.9%
7 31
 
4.1%
6 30
 
3.9%
5 29
 
3.8%
2 26
 
3.4%
9 10
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 764
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 168
22.0%
3 149
19.5%
4 144
18.8%
8 130
17.0%
0 45
 
5.9%
7 31
 
4.1%
6 30
 
3.9%
5 29
 
3.8%
2 26
 
3.4%
9 10
 
1.3%

지번주소
Text

Distinct297
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-05-18T11:16:58.094871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length40
Mean length24.891089
Min length16

Characters and Unicode

Total characters7542
Distinct characters147
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

Unique292 ?
Unique (%)96.4%

Sample

1st row서울특별시 강동구 고덕동 산 100-1 현대고덕종합상가3층 307동
2nd row서울특별시 강동구 암사동 493-9번지
3rd row서울특별시 강동구 길동 169-5 3층
4th row서울특별시 강동구 둔촌동 87-7번지 2층
5th row서울특별시 강동구 암사동 400-5번지 강동현대홈타운상가 3층
ValueCountFrequency (%)
서울특별시 303
20.4%
강동구 303
20.4%
2층 57
 
3.8%
천호동 51
 
3.4%
성내동 49
 
3.3%
3층 43
 
2.9%
명일동 41
 
2.8%
암사동 33
 
2.2%
둔촌동 31
 
2.1%
고덕동 31
 
2.1%
Other values (386) 541
36.5%
2024-05-18T11:16:59.077930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1423
18.9%
동 625
 
8.3%
강 335
 
4.4%
시 306
 
4.1%
서 303
 
4.0%
특 303
 
4.0%
별 303
 
4.0%
구 303
 
4.0%
울 303
 
4.0%
2 265
 
3.5%
Other values (137) 3073
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4369
57.9%
Decimal Number 1471
 
19.5%
Space Separator 1423
 
18.9%
Dash Punctuation 230
 
3.0%
Uppercase Letter 15
 
0.2%
Open Punctuation 11
 
0.1%
Close Punctuation 11
 
0.1%
Other Punctuation 7
 
0.1%
Math Symbol 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 625
14.3%
강 335
 
7.7%
시 306
 
7.0%
서 303
 
6.9%
특 303
 
6.9%
별 303
 
6.9%
구 303
 
6.9%
울 303
 
6.9%
지 229
 
5.2%
번 191
 
4.4%
Other values (111) 1168
26.7%
Decimal Number
ValueCountFrequency (%)
2 265
18.0%
3 231
15.7%
1 222
15.1%
4 170
11.6%
5 127
8.6%
0 120
8.2%
6 99
 
6.7%
7 95
 
6.5%
9 72
 
4.9%
8 70
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
A 3
20.0%
I 2
13.3%
M 2
13.3%
K 2
13.3%
R 1
 
6.7%
P 1
 
6.7%
G 1
 
6.7%
S 1
 
6.7%
D 1
 
6.7%
C 1
 
6.7%
Space Separator
ValueCountFrequency (%)
1423
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 230
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4369
57.9%
Common 3158
41.9%
Latin 15
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 625
14.3%
강 335
 
7.7%
시 306
 
7.0%
서 303
 
6.9%
특 303
 
6.9%
별 303
 
6.9%
구 303
 
6.9%
울 303
 
6.9%
지 229
 
5.2%
번 191
 
4.4%
Other values (111) 1168
26.7%
Common
ValueCountFrequency (%)
1423
45.1%
2 265
 
8.4%
3 231
 
7.3%
- 230
 
7.3%
1 222
 
7.0%
4 170
 
5.4%
5 127
 
4.0%
0 120
 
3.8%
6 99
 
3.1%
7 95
 
3.0%
Other values (6) 176
 
5.6%
Latin
ValueCountFrequency (%)
A 3
20.0%
I 2
13.3%
M 2
13.3%
K 2
13.3%
R 1
 
6.7%
P 1
 
6.7%
G 1
 
6.7%
S 1
 
6.7%
D 1
 
6.7%
C 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4369
57.9%
ASCII 3173
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1423
44.8%
2 265
 
8.4%
3 231
 
7.3%
- 230
 
7.2%
1 222
 
7.0%
4 170
 
5.4%
5 127
 
4.0%
0 120
 
3.8%
6 99
 
3.1%
7 95
 
3.0%
Other values (16) 191
 
6.0%
Hangul
ValueCountFrequency (%)
동 625
14.3%
강 335
 
7.7%
시 306
 
7.0%
서 303
 
6.9%
특 303
 
6.9%
별 303
 
6.9%
구 303
 
6.9%
울 303
 
6.9%
지 229
 
5.2%
번 191
 
4.4%
Other values (111) 1168
26.7%

도로명주소
Text

MISSING 

Distinct278
Distinct (%)97.5%
Missing18
Missing (%)5.9%
Memory size2.5 KiB
2024-05-18T11:16:59.661726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length45
Mean length29.82807
Min length22

Characters and Unicode

Total characters8501
Distinct characters172
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

Unique271 ?
Unique (%)95.1%

Sample

1st row서울특별시 강동구 암사길 34 (암사동)
2nd row서울특별시 강동구 진황도로 179 (둔촌동,2층)
3rd row서울특별시 강동구 고덕로27길 28 (암사동,강동현대홈타운상가 3층)
4th row서울특별시 강동구 동남로82길 97, 4층 (고덕동, 대동빌딩)
5th row서울특별시 강동구 천호대로 1194 (둔촌동,3층)
ValueCountFrequency (%)
서울특별시 285
 
17.6%
강동구 285
 
17.6%
천호동 37
 
2.3%
성내동 36
 
2.2%
명일동 30
 
1.9%
구천면로 27
 
1.7%
고덕동 25
 
1.5%
암사동 25
 
1.5%
2층 24
 
1.5%
길동 20
 
1.2%
Other values (429) 823
50.9%
2024-05-18T11:17:00.716135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1403
 
16.5%
동 615
 
7.2%
구 322
 
3.8%
강 319
 
3.8%
) 291
 
3.4%
( 291
 
3.4%
시 288
 
3.4%
서 287
 
3.4%
울 286
 
3.4%
특 285
 
3.4%
Other values (162) 4114
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5007
58.9%
Space Separator 1403
 
16.5%
Decimal Number 1268
 
14.9%
Close Punctuation 291
 
3.4%
Open Punctuation 291
 
3.4%
Other Punctuation 203
 
2.4%
Uppercase Letter 18
 
0.2%
Dash Punctuation 16
 
0.2%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 615
 
12.3%
구 322
 
6.4%
강 319
 
6.4%
시 288
 
5.8%
서 287
 
5.7%
울 286
 
5.7%
특 285
 
5.7%
별 285
 
5.7%
로 276
 
5.5%
길 175
 
3.5%
Other values (137) 1869
37.3%
Decimal Number
ValueCountFrequency (%)
1 227
17.9%
2 207
16.3%
3 182
14.4%
0 117
9.2%
4 103
8.1%
5 93
7.3%
6 89
 
7.0%
7 86
 
6.8%
8 86
 
6.8%
9 78
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
S 4
22.2%
A 3
16.7%
I 2
11.1%
M 2
11.1%
G 2
11.1%
K 2
11.1%
P 1
 
5.6%
R 1
 
5.6%
H 1
 
5.6%
Space Separator
ValueCountFrequency (%)
1403
100.0%
Close Punctuation
ValueCountFrequency (%)
) 291
100.0%
Open Punctuation
ValueCountFrequency (%)
( 291
100.0%
Other Punctuation
ValueCountFrequency (%)
, 203
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5007
58.9%
Common 3476
40.9%
Latin 18
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 615
 
12.3%
구 322
 
6.4%
강 319
 
6.4%
시 288
 
5.8%
서 287
 
5.7%
울 286
 
5.7%
특 285
 
5.7%
별 285
 
5.7%
로 276
 
5.5%
길 175
 
3.5%
Other values (137) 1869
37.3%
Common
ValueCountFrequency (%)
1403
40.4%
) 291
 
8.4%
( 291
 
8.4%
1 227
 
6.5%
2 207
 
6.0%
, 203
 
5.8%
3 182
 
5.2%
0 117
 
3.4%
4 103
 
3.0%
5 93
 
2.7%
Other values (6) 359
 
10.3%
Latin
ValueCountFrequency (%)
S 4
22.2%
A 3
16.7%
I 2
11.1%
M 2
11.1%
G 2
11.1%
K 2
11.1%
P 1
 
5.6%
R 1
 
5.6%
H 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5007
58.9%
ASCII 3494
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1403
40.2%
) 291
 
8.3%
( 291
 
8.3%
1 227
 
6.5%
2 207
 
5.9%
, 203
 
5.8%
3 182
 
5.2%
0 117
 
3.3%
4 103
 
2.9%
5 93
 
2.7%
Other values (15) 377
 
10.8%
Hangul
ValueCountFrequency (%)
동 615
 
12.3%
구 322
 
6.4%
강 319
 
6.4%
시 288
 
5.8%
서 287
 
5.7%
울 286
 
5.7%
특 285
 
5.7%
별 285
 
5.7%
로 276
 
5.5%
길 175
 
3.5%
Other values (137) 1869
37.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct116
Distinct (%)57.4%
Missing101
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean9783.5297
Minimum5201
Maximum134838
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-05-18T11:17:01.135336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5201
5-th percentile5211
Q15246
median5296.5
Q35361
95-th percentile5411.7
Maximum134838
Range129637
Interquartile range (IQR)115

Descriptive statistics

Standard deviation23726.405
Coefficient of variation (CV)2.4251375
Kurtosis24.525557
Mean9783.5297
Median Absolute Deviation (MAD)54.5
Skewness5.1266448
Sum1976273
Variance5.6294228 × 108
MonotonicityNot monotonic
2024-05-18T11:17:01.551658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5211 7
 
2.3%
5257 6
 
2.0%
5201 5
 
1.7%
5393 5
 
1.7%
5220 4
 
1.3%
5222 4
 
1.3%
5406 4
 
1.3%
5283 4
 
1.3%
5237 4
 
1.3%
5227 4
 
1.3%
Other values (106) 155
51.2%
(Missing) 101
33.3%
ValueCountFrequency (%)
5201 5
1.7%
5209 1
 
0.3%
5211 7
2.3%
5216 1
 
0.3%
5219 2
 
0.7%
5220 4
1.3%
5221 1
 
0.3%
5222 4
1.3%
5223 1
 
0.3%
5224 2
 
0.7%
ValueCountFrequency (%)
134838 1
 
0.3%
134830 1
 
0.3%
134819 1
 
0.3%
134810 1
 
0.3%
134781 1
 
0.3%
134742 1
 
0.3%
134081 1
 
0.3%
5415 3
1.0%
5412 1
 
0.3%
5406 4
1.3%

사업장명
Text

Distinct287
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-05-18T11:17:02.046288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length19
Mean length7.8910891
Min length2

Characters and Unicode

Total characters2391
Distinct characters270
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 (%)89.8%

Sample

1st row고덕태권도체육도장
2nd row광동 태권도
3rd row신동아태권도
4th row둔촌태권도
5th row연세특전체육관
ValueCountFrequency (%)
태권도 24
 
5.4%
태권도장 13
 
2.9%
체육관 7
 
1.6%
합기도 6
 
1.4%
용인대 6
 
1.4%
k태권스쿨 5
 
1.1%
경희대 5
 
1.1%
복싱클럽 4
 
0.9%
줄넘기 4
 
0.9%
한국체대 4
 
0.9%
Other values (327) 365
82.4%
2024-05-18T11:17:02.806462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 212
 
8.9%
태 188
 
7.9%
권 183
 
7.7%
140
 
5.9%
관 82
 
3.4%
대 73
 
3.1%
체 64
 
2.7%
육 57
 
2.4%
장 53
 
2.2%
경 43
 
1.8%
Other values (260) 1296
54.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2133
89.2%
Space Separator 140
 
5.9%
Uppercase Letter 68
 
2.8%
Lowercase Letter 16
 
0.7%
Close Punctuation 14
 
0.6%
Open Punctuation 14
 
0.6%
Other Punctuation 4
 
0.2%
Decimal Number 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 212
 
9.9%
태 188
 
8.8%
권 183
 
8.6%
관 82
 
3.8%
대 73
 
3.4%
체 64
 
3.0%
육 57
 
2.7%
장 53
 
2.5%
경 43
 
2.0%
동 38
 
1.8%
Other values (226) 1140
53.4%
Uppercase Letter
ValueCountFrequency (%)
M 13
19.1%
K 11
16.2%
S 9
13.2%
T 7
10.3%
Y 6
8.8%
A 5
 
7.4%
G 4
 
5.9%
C 3
 
4.4%
I 3
 
4.4%
F 2
 
2.9%
Other values (4) 5
 
7.4%
Lowercase Letter
ValueCountFrequency (%)
a 2
12.5%
m 2
12.5%
e 2
12.5%
n 2
12.5%
g 1
6.2%
x 1
6.2%
i 1
6.2%
o 1
6.2%
b 1
6.2%
d 1
6.2%
Other values (2) 2
12.5%
Other Punctuation
ValueCountFrequency (%)
& 2
50.0%
/ 1
25.0%
. 1
25.0%
Space Separator
ValueCountFrequency (%)
140
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2133
89.2%
Common 174
 
7.3%
Latin 84
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 212
 
9.9%
태 188
 
8.8%
권 183
 
8.6%
관 82
 
3.8%
대 73
 
3.4%
체 64
 
3.0%
육 57
 
2.7%
장 53
 
2.5%
경 43
 
2.0%
동 38
 
1.8%
Other values (226) 1140
53.4%
Latin
ValueCountFrequency (%)
M 13
15.5%
K 11
13.1%
S 9
10.7%
T 7
 
8.3%
Y 6
 
7.1%
A 5
 
6.0%
G 4
 
4.8%
C 3
 
3.6%
I 3
 
3.6%
a 2
 
2.4%
Other values (16) 21
25.0%
Common
ValueCountFrequency (%)
140
80.5%
) 14
 
8.0%
( 14
 
8.0%
& 2
 
1.1%
/ 1
 
0.6%
. 1
 
0.6%
2 1
 
0.6%
- 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2133
89.2%
ASCII 258
 
10.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 212
 
9.9%
태 188
 
8.8%
권 183
 
8.6%
관 82
 
3.8%
대 73
 
3.4%
체 64
 
3.0%
육 57
 
2.7%
장 53
 
2.5%
경 43
 
2.0%
동 38
 
1.8%
Other values (226) 1140
53.4%
ASCII
ValueCountFrequency (%)
140
54.3%
) 14
 
5.4%
( 14
 
5.4%
M 13
 
5.0%
K 11
 
4.3%
S 9
 
3.5%
T 7
 
2.7%
Y 6
 
2.3%
A 5
 
1.9%
G 4
 
1.6%
Other values (24) 35
 
13.6%

최종수정일자
Date

Distinct280
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2003-04-11 10:24:39
Maximum2024-05-02 17:56:09
2024-05-18T11:17:03.070479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:17:03.505268image/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 size2.5 KiB
I
166 
U
137 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 166
54.8%
U 137
45.2%

Length

2024-05-18T11:17:03.913924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:17:04.225251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 166
54.8%
u 137
45.2%

데이터갱신일자
Date

Distinct97
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:04:00
2024-05-18T11:17:04.564893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T11:17:04.840142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct8
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
222 
태권도
50 
권투
 
10
합기도
 
10
유도
 
5
Other values (3)
 
6

Length

Max length4
Median length4
Mean length3.6666667
Min length2

Unique

Unique2 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 222
73.3%
태권도 50
 
16.5%
권투 10
 
3.3%
합기도 10
 
3.3%
유도 5
 
1.7%
검도 4
 
1.3%
레슬링 1
 
0.3%
우슈 1
 
0.3%

Length

2024-05-18T11:17:05.106562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:17:05.340385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 222
73.3%
태권도 50
 
16.5%
권투 10
 
3.3%
합기도 10
 
3.3%
유도 5
 
1.7%
검도 4
 
1.3%
레슬링 1
 
0.3%
우슈 1
 
0.3%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct247
Distinct (%)84.9%
Missing12
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean212687.94
Minimum210630.21
Maximum216029.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-05-18T11:17:05.726493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210630.21
5-th percentile210897.48
Q1211565.92
median212532.99
Q3213469.47
95-th percentile215296.86
Maximum216029.39
Range5399.1786
Interquartile range (IQR)1903.5523

Descriptive statistics

Standard deviation1400.0496
Coefficient of variation (CV)0.0065826466
Kurtosis-0.5745878
Mean212687.94
Median Absolute Deviation (MAD)977.48945
Skewness0.67757451
Sum61892191
Variance1960138.8
MonotonicityNot monotonic
2024-05-18T11:17:06.185187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210934.374361918 3
 
1.0%
211276.978624655 3
 
1.0%
212708.332707221 3
 
1.0%
212047.664961457 3
 
1.0%
213565.466072004 3
 
1.0%
213030.184792779 3
 
1.0%
212587.430921049 3
 
1.0%
215037.586724456 2
 
0.7%
212094.399461247 2
 
0.7%
212597.785244413 2
 
0.7%
Other values (237) 264
87.1%
(Missing) 12
 
4.0%
ValueCountFrequency (%)
210630.209443525 1
0.3%
210669.722533894 1
0.3%
210677.372118736 1
0.3%
210694.989265395 1
0.3%
210768.152134068 1
0.3%
210772.360949087 1
0.3%
210777.43100812 1
0.3%
210782.032738559 1
0.3%
210802.35137029 1
0.3%
210827.795526898 1
0.3%
ValueCountFrequency (%)
216029.388021 1
0.3%
215875.024969 1
0.3%
215784.2264 2
0.7%
215527.721278 1
0.3%
215512.97537469 1
0.3%
215487.94428281 1
0.3%
215426.028109 1
0.3%
215422.746119624 1
0.3%
215401.064224577 2
0.7%
215379.100058 1
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct247
Distinct (%)84.9%
Missing12
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean449332.55
Minimum446598.59
Maximum452269.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-05-18T11:17:06.584877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446598.59
5-th percentile447344.9
Q1448232.34
median449528.77
Q3450175.85
95-th percentile451519.4
Maximum452269.01
Range5670.4227
Interquartile range (IQR)1943.5057

Descriptive statistics

Standard deviation1294.6992
Coefficient of variation (CV)0.002881383
Kurtosis-0.63836501
Mean449332.55
Median Absolute Deviation (MAD)876.37997
Skewness0.069435098
Sum1.3075577 × 108
Variance1676245.9
MonotonicityNot monotonic
2024-05-18T11:17:07.008503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447763.830074041 3
 
1.0%
447344.899777863 3
 
1.0%
447996.910452901 3
 
1.0%
448989.588292358 3
 
1.0%
449651.659893517 3
 
1.0%
449881.868861553 3
 
1.0%
450002.814924108 3
 
1.0%
449835.567469395 2
 
0.7%
450388.84396997 2
 
0.7%
449625.306070748 2
 
0.7%
Other values (237) 264
87.1%
(Missing) 12
 
4.0%
ValueCountFrequency (%)
446598.591776331 2
0.7%
446932.653730601 1
0.3%
447051.816494433 1
0.3%
447104.457653644 1
0.3%
447143.431610694 1
0.3%
447164.517596783 1
0.3%
447223.390338989 1
0.3%
447242.600981209 1
0.3%
447282.745525327 1
0.3%
447292.245502349 1
0.3%
ValueCountFrequency (%)
452269.014454429 1
0.3%
452247.431947179 2
0.7%
452213.416817557 1
0.3%
452195.587817951 2
0.7%
452189.755118282 1
0.3%
452130.329696 2
0.7%
452076.939632 1
0.3%
451728.460795 1
0.3%
451716.002525021 1
0.3%
451691.505203 1
0.3%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
체육도장업
250 
<NA>
53 

Length

Max length5
Median length5
Mean length4.8250825
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체육도장업 250
82.5%
<NA> 53
 
17.5%

Length

2024-05-18T11:17:07.406384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:17:07.593266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육도장업 250
82.5%
na 53
 
17.5%

공사립구분명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
사립
250 
<NA>
53 

Length

Max length4
Median length2
Mean length2.349835
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 250
82.5%
<NA> 53
 
17.5%

Length

2024-05-18T11:17:07.805356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:17:08.009671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 250
82.5%
na 53
 
17.5%

보험가입여부코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
259 
0
43 
Y
 
1

Length

Max length4
Median length4
Mean length3.5643564
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 259
85.5%
0 43
 
14.2%
Y 1
 
0.3%

Length

2024-05-18T11:17:08.248745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:17:08.580388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 259
85.5%
0 43
 
14.2%
y 1
 
0.3%

지도자수
Categorical

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
175 
1
76 
0
51 
2
 
1

Length

Max length4
Median length4
Mean length2.7326733
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 175
57.8%
1 76
25.1%
0 51
 
16.8%
2 1
 
0.3%

Length

2024-05-18T11:17:09.001000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:17:09.340901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 175
57.8%
1 76
25.1%
0 51
 
16.8%
2 1
 
0.3%

건축물동수
Categorical

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
174 
0
65 
1
63 
2
 
1

Length

Max length4
Median length4
Mean length2.7227723
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 174
57.4%
0 65
 
21.5%
1 63
 
20.8%
2 1
 
0.3%

Length

2024-05-18T11:17:09.729512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T11:17:10.069967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 174
57.4%
0 65
 
21.5%
1 63
 
20.8%
2 1
 
0.3%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct115
Distinct (%)65.3%
Missing127
Missing (%)41.9%
Infinite0
Infinite (%)0.0%
Mean1140.1197
Minimum0
Maximum23904
Zeros57
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-05-18T11:17:10.438310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median627.25
Q31113.0675
95-th percentile3862.5
Maximum23904
Range23904
Interquartile range (IQR)1113.0675

Descriptive statistics

Standard deviation2567.2026
Coefficient of variation (CV)2.2516956
Kurtosis42.887442
Mean1140.1197
Median Absolute Deviation (MAD)627.25
Skewness5.933775
Sum200661.07
Variance6590529.1
MonotonicityNot monotonic
2024-05-18T11:17:10.880638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 57
18.8%
1025.0 2
 
0.7%
737.5 2
 
0.7%
468.29 2
 
0.7%
1661.02 2
 
0.7%
494.97 2
 
0.7%
1327.0 1
 
0.3%
4801.29 1
 
0.3%
1355.8 1
 
0.3%
976.26 1
 
0.3%
Other values (105) 105
34.7%
(Missing) 127
41.9%
ValueCountFrequency (%)
0.0 57
18.8%
101.25 1
 
0.3%
114.97 1
 
0.3%
120.81 1
 
0.3%
248.0 1
 
0.3%
298.74 1
 
0.3%
346.35 1
 
0.3%
390.05 1
 
0.3%
424.0 1
 
0.3%
424.09 1
 
0.3%
ValueCountFrequency (%)
23904.0 1
0.3%
15980.96 1
0.3%
10943.57 1
0.3%
9686.46 1
0.3%
9427.36 1
0.3%
5661.15 1
0.3%
5120.09 1
0.3%
4801.29 1
0.3%
3918.0 1
0.3%
3844.0 1
0.3%

회원모집총인원
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)21.2%
Missing251
Missing (%)82.8%
Infinite0
Infinite (%)0.0%
Mean37.403846
Minimum0
Maximum800
Zeros33
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-05-18T11:17:11.237018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q350
95-th percentile100
Maximum800
Range800
Interquartile range (IQR)50

Descriptive statistics

Standard deviation113.63638
Coefficient of variation (CV)3.0380933
Kurtosis41.586335
Mean37.403846
Median Absolute Deviation (MAD)0
Skewness6.1705713
Sum1945
Variance12913.226
MonotonicityNot monotonic
2024-05-18T11:17:11.670913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 33
 
10.9%
50 4
 
1.3%
80 3
 
1.0%
100 2
 
0.7%
70 2
 
0.7%
30 2
 
0.7%
20 2
 
0.7%
150 1
 
0.3%
40 1
 
0.3%
75 1
 
0.3%
(Missing) 251
82.8%
ValueCountFrequency (%)
0 33
10.9%
20 2
 
0.7%
30 2
 
0.7%
40 1
 
0.3%
50 4
 
1.3%
70 2
 
0.7%
75 1
 
0.3%
80 3
 
1.0%
100 2
 
0.7%
150 1
 
0.3%
ValueCountFrequency (%)
800 1
 
0.3%
150 1
 
0.3%
100 2
0.7%
80 3
1.0%
75 1
 
0.3%
70 2
0.7%
50 4
1.3%
40 1
 
0.3%
30 2
0.7%
20 2
0.7%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing303
Missing (%)100.0%
Memory size2.8 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing303
Missing (%)100.0%
Memory size2.8 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03240000CDFH330102198900000119891202<NA>4취소/말소/만료/정지/중지35직권말소20211215<NA><NA><NA>429-9595<NA>134080서울특별시 강동구 고덕동 산 100-1 현대고덕종합상가3층 307동<NA><NA>고덕태권도체육도장2021-12-15 12:49:04U2021-12-17 02:40:00.0태권도<NA><NA>체육도장업사립<NA>000.00<NA><NA>
13240000CDFH330102198900000219891202<NA>3폐업3폐업20190430<NA><NA><NA>442-1038<NA><NA>서울특별시 강동구 암사동 493-9번지서울특별시 강동구 암사길 34 (암사동)5262광동 태권도2019-04-30 11:18:14U2019-05-13 02:40:00.0<NA>211674.799058449942.826305체육도장업사립<NA><NA>00.0<NA><NA><NA>
23240000CDFH330102198900000319891202<NA>4취소/말소/만료/정지/중지35직권말소20211215<NA><NA><NA>470-9393<NA>134809서울특별시 강동구 길동 169-5 3층<NA><NA>신동아태권도2021-12-15 12:52:01U2021-12-17 02:40:00.0<NA><NA><NA>체육도장업사립<NA>000.00<NA><NA>
33240000CDFH330102198900000419891202<NA>3폐업3폐업20020506<NA><NA><NA>477-0322<NA>134817서울특별시 강동구 둔촌동 87-7번지 2층서울특별시 강동구 진황도로 179 (둔촌동,2층)<NA>둔촌태권도2003-04-11 10:24:39I2018-08-31 23:59:59.0<NA>212564.660855447560.771617체육도장업사립<NA>000.0<NA><NA><NA>
43240000CDFH330102198900000519891202<NA>3폐업3폐업20080205<NA><NA><NA><NA><NA>134853서울특별시 강동구 암사동 400-5번지 강동현대홈타운상가 3층서울특별시 강동구 고덕로27길 28 (암사동,강동현대홈타운상가 3층)<NA>연세특전체육관2008-02-05 15:10:39I2018-08-31 23:59:59.0<NA>212128.748651450405.144983체육도장업사립01<NA>1701.0<NA><NA><NA>
53240000CDFH330102198900000619891202<NA>4취소/말소/만료/정지/중지35직권말소20211215<NA><NA><NA>02-6431-8407<NA><NA>서울특별시 강동구 고덕동 256서울특별시 강동구 동남로82길 97, 4층 (고덕동, 대동빌딩)5220MTA 태권도2021-12-15 12:52:42U2021-12-17 02:40:00.0<NA>214284.006518450930.937705체육도장업사립<NA>001191.240<NA><NA>
63240000CDFH330102198900000719891202<NA>3폐업3폐업20040213<NA><NA><NA>484-7608<NA>134817서울특별시 강동구 둔촌동 53-4번지 3층서울특별시 강동구 천호대로 1194 (둔촌동,3층)<NA>강동제일태권도2004-02-16 14:03:35I2018-08-31 23:59:59.0<NA>212658.440109448013.81374체육도장업사립0<NA><NA><NA><NA><NA><NA>
73240000CDFH330102198900000819891202<NA>3폐업3폐업20190628<NA><NA><NA>426-5383<NA><NA>서울특별시 강동구 명일동 246-5번지 3층서울특별시 강동구 상암로61길 28 (명일동)5271석사체육관2019-06-28 14:20:32U2019-06-30 02:40:00.0<NA>213428.462514449528.765018체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
83240000CDFH330102198900000919891202<NA>3폐업3폐업19980423<NA><NA><NA><NA><NA>134837서울특별시 강동구 상일동 283-0번지 2층서울특별시 강동구 천호대로219길 68 (상일동,2층)<NA>신화랑태권도체육도장2003-04-11 10:24:39I2018-08-31 23:59:59.0<NA>215053.04903449623.176714체육도장업사립<NA>000.0<NA><NA><NA>
93240000CDFH330102198900001019891202<NA>3폐업3폐업20041022<NA><NA><NA>485-5276<NA>134883서울특별시 강동구 성내동 120-84번지 2층서울특별시 강동구 풍성로 104 (성내동,2층)<NA>대한태권도2004-10-22 11:33:31I2018-08-31 23:59:59.0<NA>210863.964123447784.798733체육도장업사립0<NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
2933240000CDFH33010220220000032022-05-20<NA>3폐업3폐업2024-03-06<NA><NA><NA><NA><NA><NA>서울특별시 강동구 고덕동 694 고덕그라시움(제4상가)서울특별시 강동구 고덕로 385, 고덕그라시움(제4상가) 지하1층 (고덕동)5223피트니스에이치2024-03-06 18:24:34U2023-12-03 00:08:00.0권투214695.292859450632.624021<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2943240000CDFH330102202200000420220905<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 고덕동 643-5서울특별시 강동구 동남로81길 50 (고덕동)5227고덕 파워점핑 줄넘기 전문클럽 and 태권도2022-09-05 17:04:10I2021-12-09 00:07:00.0태권도213551.275753450854.534701<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2953240000CDFH33010220230000012023-02-02<NA>3폐업3폐업2024-04-01<NA><NA><NA><NA><NA><NA>서울특별시 강동구 암사동 190-23 에이든1215 지하 1층서울특별시 강동구 올림픽로 847, 에이든1215 지하 1층 (암사동)5239어센트스포츠 태권도장2024-04-01 15:48:28U2023-12-04 00:03:00.0태권도211372.302842450500.771948<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2963240000CDFH33010220230000022023-06-13<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3428-6565<NA><NA>서울특별시 강동구 강일동 76-11 성산타워(2층, 201, 202호)서울특별시 강동구 아리수로93나길 26, 성산타워 2층 201, 202호 (강일동)5415한강유도관2023-06-13 14:18:07I2022-12-05 23:06:00.0유도215257.766511452195.587818<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2973240000CDFH33010220230000032023-08-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-428-2777<NA><NA>서울특별시 강동구 강일동 70-8 성산타워2 (206~209호)서울특별시 강동구 아리수로93나길 80, 성산타워2 206~209호 (강일동)5415경희대효태권도장2023-08-23 14:39:32I2022-12-07 22:05:00.0태권도215487.944283452269.014454<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2983240000CDFH33010220230000042023-10-10<NA>1영업/정상13영업중<NA><NA><NA><NA>02-442-0112<NA><NA>서울특별시 강동구 고덕동 159-5 2층서울특별시 강동구 고덕로83길 132, 2층 (고덕동)5221국가대표 김재봉 주짓수 앤 태권도장2023-10-12 09:12:13U2022-10-30 23:04:00.0태권도214735.662492451026.433073<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2993240000CDFH33010220230000052023-10-13<NA>1영업/정상13영업중<NA><NA><NA><NA>02-484-7989<NA><NA>서울특별시 강동구 길동 438 4층서울특별시 강동구 양재대로 1450, 4층 (길동)5356용인대SM복싱클럽 길동점2023-10-13 15:03:06I2022-10-30 23:05:00.0권투212255.212805448125.657685<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3003240000CDFH33010220230000062023-12-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 544-17 201호서울특별시 강동구 성내로15길 12, 201호 (성내동)5396점핑클럽2023-12-14 13:43:07I2022-11-01 23:06:00.0태권도211302.594782447317.104511<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3013240000CDFH33010220240000012024-02-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 고덕동 258-10 2층서울특별시 강동구 동남로82길 91, 2층 (고덕동)5219강일S짐 복싱클럽 명희관2024-02-21 15:57:15I2023-12-01 22:03:00.0권투214255.220375450941.879307<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3023240000CDFH33010220240000022024-05-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 암사동 450-13 용성빌딩서울특별시 강동구 고덕로27길 19, 용성빌딩 3층 (암사동)5237K태권스쿨2024-05-02 17:56:09I2023-12-05 00:04:00.0태권도212094.399461450388.84397<NA><NA><NA><NA><NA><NA><NA><NA><NA>