Overview

Dataset statistics

Number of variables34
Number of observations549
Missing cells5292
Missing cells (%)28.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory156.1 KiB
Average record size in memory291.2 B

Variable types

Categorical12
Text6
DateTime4
Unsupported8
Numeric4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,공사립구분명,보험가입여부코드,지도자수,건축물동수,건축물연면적,회원모집총인원,세부업종명,법인명
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-19642/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
문화체육업종명 is highly imbalanced (50.2%)Imbalance
공사립구분명 is highly imbalanced (50.2%)Imbalance
회원모집총인원 is highly imbalanced (90.1%)Imbalance
인허가취소일자 has 549 (100.0%) missing valuesMissing
폐업일자 has 120 (21.9%) missing valuesMissing
휴업시작일자 has 549 (100.0%) missing valuesMissing
휴업종료일자 has 549 (100.0%) missing valuesMissing
재개업일자 has 549 (100.0%) missing valuesMissing
전화번호 has 147 (26.8%) missing valuesMissing
소재지면적 has 549 (100.0%) missing valuesMissing
소재지우편번호 has 118 (21.5%) missing valuesMissing
도로명주소 has 15 (2.7%) missing valuesMissing
도로명우편번호 has 351 (63.9%) missing valuesMissing
업태구분명 has 549 (100.0%) missing valuesMissing
좌표정보(X) has 11 (2.0%) missing valuesMissing
좌표정보(Y) has 11 (2.0%) missing valuesMissing
건축물연면적 has 127 (23.1%) missing valuesMissing
세부업종명 has 549 (100.0%) missing valuesMissing
법인명 has 549 (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 165 (30.1%) zerosZeros

Reproduction

Analysis started2024-04-29 19:59:46.671033
Analysis finished2024-04-29 19:59:47.575091
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
3150000
549 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3150000
2nd row3150000
3rd row3150000
4th row3150000
5th row3150000

Common Values

ValueCountFrequency (%)
3150000 549
100.0%

Length

2024-04-30T04:59:47.640891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:59:47.713943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 549
100.0%

관리번호
Text

UNIQUE 

Distinct549
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2024-04-30T04:59:47.855287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters10980
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

Unique549 ?
Unique (%)100.0%

Sample

1st rowCDFH3301081979000001
2nd rowCDFH3301081980000001
3rd rowCDFH3301081980000002
4th rowCDFH3301081980000003
5th rowCDFH3301081981000001
ValueCountFrequency (%)
cdfh3301081979000001 1
 
0.2%
cdfh3301082007000019 1
 
0.2%
cdfh3301082008000020 1
 
0.2%
cdfh3301082008000019 1
 
0.2%
cdfh3301082008000018 1
 
0.2%
cdfh3301082008000017 1
 
0.2%
cdfh3301082008000016 1
 
0.2%
cdfh3301082008000015 1
 
0.2%
cdfh3301082008000014 1
 
0.2%
cdfh3301082002000029 1
 
0.2%
Other values (539) 539
98.2%
2024-04-30T04:59:48.141679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4231
38.5%
3 1219
 
11.1%
1 1143
 
10.4%
8 712
 
6.5%
2 569
 
5.2%
C 549
 
5.0%
D 549
 
5.0%
F 549
 
5.0%
H 549
 
5.0%
9 455
 
4.1%
Other values (4) 455
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8784
80.0%
Uppercase Letter 2196
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4231
48.2%
3 1219
 
13.9%
1 1143
 
13.0%
8 712
 
8.1%
2 569
 
6.5%
9 455
 
5.2%
7 124
 
1.4%
6 112
 
1.3%
5 110
 
1.3%
4 109
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
C 549
25.0%
D 549
25.0%
F 549
25.0%
H 549
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8784
80.0%
Latin 2196
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4231
48.2%
3 1219
 
13.9%
1 1143
 
13.0%
8 712
 
8.1%
2 569
 
6.5%
9 455
 
5.2%
7 124
 
1.4%
6 112
 
1.3%
5 110
 
1.3%
4 109
 
1.2%
Latin
ValueCountFrequency (%)
C 549
25.0%
D 549
25.0%
F 549
25.0%
H 549
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10980
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4231
38.5%
3 1219
 
11.1%
1 1143
 
10.4%
8 712
 
6.5%
2 569
 
5.2%
C 549
 
5.0%
D 549
 
5.0%
F 549
 
5.0%
H 549
 
5.0%
9 455
 
4.1%
Other values (4) 455
 
4.1%

인허가일자
Date

Distinct516
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
Minimum1979-03-15 00:00:00
Maximum2023-07-13 00:00:00
2024-04-30T04:59:48.264417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:59:48.383459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing549
Missing (%)100.0%
Memory size5.0 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
3
353 
1
120 
4
76 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 353
64.3%
1 120
 
21.9%
4 76
 
13.8%

Length

2024-04-30T04:59:48.493166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:59:48.575683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 353
64.3%
1 120
 
21.9%
4 76
 
13.8%

영업상태명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
폐업
353 
영업/정상
120 
취소/말소/만료/정지/중지
76 

Length

Max length14
Median length2
Mean length4.3169399
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 353
64.3%
영업/정상 120
 
21.9%
취소/말소/만료/정지/중지 76
 
13.8%

Length

2024-04-30T04:59:48.658928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:59:48.743518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 353
64.3%
영업/정상 120
 
21.9%
취소/말소/만료/정지/중지 76
 
13.8%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
3
353 
13
120 
35
76 

Length

Max length2
Median length1
Mean length1.3570128
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 353
64.3%
13 120
 
21.9%
35 76
 
13.8%

Length

2024-04-30T04:59:48.846776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:59:48.929836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 353
64.3%
13 120
 
21.9%
35 76
 
13.8%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
폐업
353 
영업중
120 
직권말소
76 

Length

Max length4
Median length2
Mean length2.4954463
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 353
64.3%
영업중 120
 
21.9%
직권말소 76
 
13.8%

Length

2024-04-30T04:59:49.029140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:59:49.132547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 353
64.3%
영업중 120
 
21.9%
직권말소 76
 
13.8%

폐업일자
Date

MISSING 

Distinct322
Distinct (%)75.1%
Missing120
Missing (%)21.9%
Memory size4.4 KiB
Minimum1993-10-04 00:00:00
Maximum2024-04-19 00:00:00
2024-04-30T04:59:49.243644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:59:49.359064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing549
Missing (%)100.0%
Memory size5.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing549
Missing (%)100.0%
Memory size5.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing549
Missing (%)100.0%
Memory size5.0 KiB

전화번호
Text

MISSING 

Distinct394
Distinct (%)98.0%
Missing147
Missing (%)26.8%
Memory size4.4 KiB
2024-04-30T04:59:49.586439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length8.9402985
Min length6

Characters and Unicode

Total characters3594
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

Unique386 ?
Unique (%)96.0%

Sample

1st row602-1967
2nd row2664-5857
3rd row2664-7853
4th row664-9612
5th row663-2164
ValueCountFrequency (%)
699-4185 2
 
0.5%
2608-3949 2
 
0.5%
2603-3949 2
 
0.5%
2667-4939 2
 
0.5%
2663-5559 2
 
0.5%
3661-3949 2
 
0.5%
2601-9145 2
 
0.5%
648-1342 2
 
0.5%
2606-4939 1
 
0.2%
3664-0785 1
 
0.2%
Other values (384) 384
95.5%
2024-04-30T04:59:49.944014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 707
19.7%
- 447
12.4%
2 376
10.5%
0 361
10.0%
9 332
9.2%
3 292
8.1%
4 235
 
6.5%
5 231
 
6.4%
7 226
 
6.3%
8 208
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3147
87.6%
Dash Punctuation 447
 
12.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 707
22.5%
2 376
11.9%
0 361
11.5%
9 332
10.5%
3 292
9.3%
4 235
 
7.5%
5 231
 
7.3%
7 226
 
7.2%
8 208
 
6.6%
1 179
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 447
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3594
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 707
19.7%
- 447
12.4%
2 376
10.5%
0 361
10.0%
9 332
9.2%
3 292
8.1%
4 235
 
6.5%
5 231
 
6.4%
7 226
 
6.3%
8 208
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3594
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 707
19.7%
- 447
12.4%
2 376
10.5%
0 361
10.0%
9 332
9.2%
3 292
8.1%
4 235
 
6.5%
5 231
 
6.4%
7 226
 
6.3%
8 208
 
5.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing549
Missing (%)100.0%
Memory size5.0 KiB

소재지우편번호
Text

MISSING 

Distinct99
Distinct (%)23.0%
Missing118
Missing (%)21.5%
Memory size4.4 KiB
2024-04-30T04:59:50.183918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.025522
Min length6

Characters and Unicode

Total characters2597
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

Unique34 ?
Unique (%)7.9%

Sample

1st row157871
2nd row157853
3rd row157833
4th row157884
5th row157851
ValueCountFrequency (%)
157928 25
 
5.8%
157897 24
 
5.6%
157030 18
 
4.2%
157910 15
 
3.5%
157851 15
 
3.5%
157801 11
 
2.6%
157916 10
 
2.3%
157847 10
 
2.3%
157904 10
 
2.3%
157812 10
 
2.3%
Other values (89) 283
65.7%
2024-04-30T04:59:50.518252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 554
21.3%
7 502
19.3%
5 485
18.7%
8 354
13.6%
9 191
 
7.4%
0 166
 
6.4%
2 106
 
4.1%
4 83
 
3.2%
3 80
 
3.1%
6 65
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2586
99.6%
Dash Punctuation 11
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 554
21.4%
7 502
19.4%
5 485
18.8%
8 354
13.7%
9 191
 
7.4%
0 166
 
6.4%
2 106
 
4.1%
4 83
 
3.2%
3 80
 
3.1%
6 65
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2597
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 554
21.3%
7 502
19.3%
5 485
18.7%
8 354
13.6%
9 191
 
7.4%
0 166
 
6.4%
2 106
 
4.1%
4 83
 
3.2%
3 80
 
3.1%
6 65
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2597
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 554
21.3%
7 502
19.3%
5 485
18.7%
8 354
13.6%
9 191
 
7.4%
0 166
 
6.4%
2 106
 
4.1%
4 83
 
3.2%
3 80
 
3.1%
6 65
 
2.5%

지번주소
Text

Distinct539
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2024-04-30T04:59:50.783911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length44
Mean length25.724954
Min length18

Characters and Unicode

Total characters14123
Distinct characters195
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

Unique529 ?
Unique (%)96.4%

Sample

1st row서울특별시 강서구 화곡동 98-154번지
2nd row서울특별시 강서구 방화동 614-97번지
3rd row서울특별시 강서구 공항동 53-1번지 3층
4th row서울특별시 강서구 내발산동 701-1번지
5th row서울특별시 강서구 방화동 562-5번지 2층
ValueCountFrequency (%)
서울특별시 549
20.4%
강서구 549
20.4%
화곡동 281
 
10.4%
2층 99
 
3.7%
등촌동 74
 
2.7%
3층 73
 
2.7%
방화동 69
 
2.6%
공항동 31
 
1.2%
가양동 29
 
1.1%
4층 23
 
0.9%
Other values (683) 916
34.0%
2024-04-30T04:59:51.171552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2611
18.5%
서 1112
 
7.9%
1 623
 
4.4%
강 566
 
4.0%
동 565
 
4.0%
구 551
 
3.9%
시 550
 
3.9%
울 550
 
3.9%
특 549
 
3.9%
별 549
 
3.9%
Other values (185) 5897
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7811
55.3%
Decimal Number 3095
 
21.9%
Space Separator 2611
 
18.5%
Dash Punctuation 525
 
3.7%
Uppercase Letter 32
 
0.2%
Other Punctuation 29
 
0.2%
Math Symbol 10
 
0.1%
Open Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1112
14.2%
강 566
 
7.2%
동 565
 
7.2%
구 551
 
7.1%
시 550
 
7.0%
울 550
 
7.0%
특 549
 
7.0%
별 549
 
7.0%
지 431
 
5.5%
번 367
 
4.7%
Other values (161) 2021
25.9%
Decimal Number
ValueCountFrequency (%)
1 623
20.1%
2 416
13.4%
3 348
11.2%
6 294
9.5%
4 262
8.5%
0 261
8.4%
5 259
8.4%
7 255
8.2%
8 200
 
6.5%
9 177
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
B 24
75.0%
A 3
 
9.4%
T 1
 
3.1%
P 1
 
3.1%
K 1
 
3.1%
F 1
 
3.1%
D 1
 
3.1%
Other Punctuation
ValueCountFrequency (%)
, 28
96.6%
/ 1
 
3.4%
Space Separator
ValueCountFrequency (%)
2611
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 525
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7811
55.3%
Common 6280
44.5%
Latin 32
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1112
14.2%
강 566
 
7.2%
동 565
 
7.2%
구 551
 
7.1%
시 550
 
7.0%
울 550
 
7.0%
특 549
 
7.0%
별 549
 
7.0%
지 431
 
5.5%
번 367
 
4.7%
Other values (161) 2021
25.9%
Common
ValueCountFrequency (%)
2611
41.6%
1 623
 
9.9%
- 525
 
8.4%
2 416
 
6.6%
3 348
 
5.5%
6 294
 
4.7%
4 262
 
4.2%
0 261
 
4.2%
5 259
 
4.1%
7 255
 
4.1%
Other values (7) 426
 
6.8%
Latin
ValueCountFrequency (%)
B 24
75.0%
A 3
 
9.4%
T 1
 
3.1%
P 1
 
3.1%
K 1
 
3.1%
F 1
 
3.1%
D 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7811
55.3%
ASCII 6312
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2611
41.4%
1 623
 
9.9%
- 525
 
8.3%
2 416
 
6.6%
3 348
 
5.5%
6 294
 
4.7%
4 262
 
4.2%
0 261
 
4.1%
5 259
 
4.1%
7 255
 
4.0%
Other values (14) 458
 
7.3%
Hangul
ValueCountFrequency (%)
서 1112
14.2%
강 566
 
7.2%
동 565
 
7.2%
구 551
 
7.1%
시 550
 
7.0%
울 550
 
7.0%
특 549
 
7.0%
별 549
 
7.0%
지 431
 
5.5%
번 367
 
4.7%
Other values (161) 2021
25.9%

도로명주소
Text

MISSING 

Distinct522
Distinct (%)97.8%
Missing15
Missing (%)2.7%
Memory size4.4 KiB
2024-04-30T04:59:51.437494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length47
Mean length29.400749
Min length21

Characters and Unicode

Total characters15700
Distinct characters215
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

Unique510 ?
Unique (%)95.5%

Sample

1st row서울특별시 강서구 초록마을로2길 48 (화곡동)
2nd row서울특별시 강서구 방화동로 45 (방화동)
3rd row서울특별시 강서구 공항대로 24, 3층 (공항동)
4th row서울특별시 강서구 강서로 299 (내발산동)
5th row서울특별시 강서구 양천로16길 2, 2층 (방화동)
ValueCountFrequency (%)
서울특별시 534
 
17.6%
강서구 534
 
17.6%
화곡동 193
 
6.4%
2층 71
 
2.3%
등촌동 55
 
1.8%
화곡로 53
 
1.7%
강서로 52
 
1.7%
방화동 49
 
1.6%
3층 47
 
1.5%
양천로 44
 
1.4%
Other values (620) 1404
46.2%
2024-04-30T04:59:51.818285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2761
 
17.6%
서 1194
 
7.6%
강 662
 
4.2%
동 578
 
3.7%
로 552
 
3.5%
) 538
 
3.4%
( 538
 
3.4%
시 535
 
3.4%
울 535
 
3.4%
특 534
 
3.4%
Other values (205) 7273
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9064
57.7%
Space Separator 2761
 
17.6%
Decimal Number 2279
 
14.5%
Close Punctuation 538
 
3.4%
Open Punctuation 538
 
3.4%
Other Punctuation 432
 
2.8%
Dash Punctuation 41
 
0.3%
Uppercase Letter 35
 
0.2%
Math Symbol 11
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1194
13.2%
강 662
 
7.3%
동 578
 
6.4%
로 552
 
6.1%
시 535
 
5.9%
울 535
 
5.9%
특 534
 
5.9%
별 534
 
5.9%
구 534
 
5.9%
화 475
 
5.2%
Other values (179) 2931
32.3%
Decimal Number
ValueCountFrequency (%)
1 416
18.3%
2 397
17.4%
3 297
13.0%
4 240
10.5%
5 215
9.4%
6 192
8.4%
0 163
 
7.2%
7 144
 
6.3%
9 110
 
4.8%
8 105
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
B 24
68.6%
A 4
 
11.4%
K 2
 
5.7%
F 1
 
2.9%
H 1
 
2.9%
P 1
 
2.9%
T 1
 
2.9%
D 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 431
99.8%
/ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
2761
100.0%
Close Punctuation
ValueCountFrequency (%)
) 538
100.0%
Open Punctuation
ValueCountFrequency (%)
( 538
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9064
57.7%
Common 6600
42.0%
Latin 36
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1194
13.2%
강 662
 
7.3%
동 578
 
6.4%
로 552
 
6.1%
시 535
 
5.9%
울 535
 
5.9%
특 534
 
5.9%
별 534
 
5.9%
구 534
 
5.9%
화 475
 
5.2%
Other values (179) 2931
32.3%
Common
ValueCountFrequency (%)
2761
41.8%
) 538
 
8.2%
( 538
 
8.2%
, 431
 
6.5%
1 416
 
6.3%
2 397
 
6.0%
3 297
 
4.5%
4 240
 
3.6%
5 215
 
3.3%
6 192
 
2.9%
Other values (7) 575
 
8.7%
Latin
ValueCountFrequency (%)
B 24
66.7%
A 4
 
11.1%
K 2
 
5.6%
F 1
 
2.8%
H 1
 
2.8%
P 1
 
2.8%
T 1
 
2.8%
D 1
 
2.8%
Ⅰ 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9064
57.7%
ASCII 6635
42.3%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2761
41.6%
) 538
 
8.1%
( 538
 
8.1%
, 431
 
6.5%
1 416
 
6.3%
2 397
 
6.0%
3 297
 
4.5%
4 240
 
3.6%
5 215
 
3.2%
6 192
 
2.9%
Other values (15) 610
 
9.2%
Hangul
ValueCountFrequency (%)
서 1194
13.2%
강 662
 
7.3%
동 578
 
6.4%
로 552
 
6.1%
시 535
 
5.9%
울 535
 
5.9%
특 534
 
5.9%
별 534
 
5.9%
구 534
 
5.9%
화 475
 
5.2%
Other values (179) 2931
32.3%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct111
Distinct (%)56.1%
Missing351
Missing (%)63.9%
Infinite0
Infinite (%)0.0%
Mean16768.545
Minimum7510
Maximum157937
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2024-04-30T04:59:51.935110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7510
5-th percentile7528.85
Q17592.25
median7658
Q37759.25
95-th percentile157866
Maximum157937
Range150427
Interquartile range (IQR)167

Descriptive statistics

Standard deviation35939.577
Coefficient of variation (CV)2.1432734
Kurtosis11.892723
Mean16768.545
Median Absolute Deviation (MAD)75.5
Skewness3.7111449
Sum3320172
Variance1.2916532 × 109
MonotonicityNot monotonic
2024-04-30T04:59:52.050437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7573 8
 
1.5%
7590 6
 
1.1%
7623 6
 
1.1%
7803 5
 
0.9%
7741 5
 
0.9%
7714 5
 
0.9%
7657 4
 
0.7%
7679 4
 
0.7%
7593 4
 
0.7%
7646 4
 
0.7%
Other values (101) 147
26.8%
(Missing) 351
63.9%
ValueCountFrequency (%)
7510 1
 
0.2%
7516 1
 
0.2%
7517 1
 
0.2%
7523 1
 
0.2%
7526 1
 
0.2%
7527 2
0.4%
7528 3
0.5%
7529 2
0.4%
7530 1
 
0.2%
7532 1
 
0.2%
ValueCountFrequency (%)
157937 1
 
0.2%
157930 3
0.5%
157928 1
 
0.2%
157927 1
 
0.2%
157910 1
 
0.2%
157908 1
 
0.2%
157872 1
 
0.2%
157866 2
0.4%
157852 1
 
0.2%
7807 1
 
0.2%

사업장명
Text

Distinct477
Distinct (%)86.9%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2024-04-30T04:59:52.317642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length5.4990893
Min length1

Characters and Unicode

Total characters3019
Distinct characters343
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique426 ?
Unique (%)77.6%

Sample

1st row화곡당구장
2nd row군주당구장
3rd row청운당구장
4th row발산
5th row오스카 당구장
ValueCountFrequency (%)
당구장 97
 
13.0%
당구클럽 62
 
8.3%
원 6
 
0.8%
vip 5
 
0.7%
큐 5
 
0.7%
당구나라 5
 
0.7%
썬 4
 
0.5%
클럽 4
 
0.5%
프로당구장 4
 
0.5%
세종당구장 4
 
0.5%
Other values (465) 549
73.7%
2024-04-30T04:59:52.699408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
당 423
 
14.0%
구 421
 
13.9%
장 278
 
9.2%
196
 
6.5%
럽 131
 
4.3%
클 129
 
4.3%
스 65
 
2.2%
이 43
 
1.4%
리 34
 
1.1%
드 29
 
1.0%
Other values (333) 1270
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2578
85.4%
Space Separator 196
 
6.5%
Uppercase Letter 126
 
4.2%
Lowercase Letter 50
 
1.7%
Decimal Number 49
 
1.6%
Other Punctuation 14
 
0.5%
Dash Punctuation 3
 
0.1%
Math Symbol 2
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 423
16.4%
구 421
16.3%
장 278
 
10.8%
럽 131
 
5.1%
클 129
 
5.0%
스 65
 
2.5%
이 43
 
1.7%
리 34
 
1.3%
드 29
 
1.1%
아 22
 
0.9%
Other values (277) 1003
38.9%
Uppercase Letter
ValueCountFrequency (%)
B 17
13.5%
S 15
11.9%
J 9
 
7.1%
P 9
 
7.1%
I 8
 
6.3%
K 8
 
6.3%
L 8
 
6.3%
V 7
 
5.6%
O 6
 
4.8%
M 5
 
4.0%
Other values (14) 34
27.0%
Lowercase Letter
ValueCountFrequency (%)
l 9
18.0%
b 7
14.0%
c 5
10.0%
i 5
10.0%
a 5
10.0%
u 3
 
6.0%
d 3
 
6.0%
r 3
 
6.0%
s 3
 
6.0%
e 2
 
4.0%
Other values (5) 5
10.0%
Decimal Number
ValueCountFrequency (%)
2 16
32.7%
0 14
28.6%
8 6
 
12.2%
5 3
 
6.1%
7 3
 
6.1%
6 2
 
4.1%
9 2
 
4.1%
1 1
 
2.0%
4 1
 
2.0%
3 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 9
64.3%
& 3
 
21.4%
' 2
 
14.3%
Space Separator
ValueCountFrequency (%)
196
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2578
85.4%
Common 264
 
8.7%
Latin 177
 
5.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 423
16.4%
구 421
16.3%
장 278
 
10.8%
럽 131
 
5.1%
클 129
 
5.0%
스 65
 
2.5%
이 43
 
1.7%
리 34
 
1.3%
드 29
 
1.1%
아 22
 
0.9%
Other values (277) 1003
38.9%
Latin
ValueCountFrequency (%)
B 17
 
9.6%
S 15
 
8.5%
J 9
 
5.1%
P 9
 
5.1%
l 9
 
5.1%
I 8
 
4.5%
K 8
 
4.5%
L 8
 
4.5%
V 7
 
4.0%
b 7
 
4.0%
Other values (30) 80
45.2%
Common
ValueCountFrequency (%)
196
74.2%
2 16
 
6.1%
0 14
 
5.3%
. 9
 
3.4%
8 6
 
2.3%
5 3
 
1.1%
& 3
 
1.1%
- 3
 
1.1%
7 3
 
1.1%
+ 2
 
0.8%
Other values (6) 9
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2578
85.4%
ASCII 440
 
14.6%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
당 423
16.4%
구 421
16.3%
장 278
 
10.8%
럽 131
 
5.1%
클 129
 
5.0%
스 65
 
2.5%
이 43
 
1.7%
리 34
 
1.3%
드 29
 
1.1%
아 22
 
0.9%
Other values (277) 1003
38.9%
ASCII
ValueCountFrequency (%)
196
44.5%
B 17
 
3.9%
2 16
 
3.6%
S 15
 
3.4%
0 14
 
3.2%
J 9
 
2.0%
. 9
 
2.0%
P 9
 
2.0%
l 9
 
2.0%
I 8
 
1.8%
Other values (45) 138
31.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

최종수정일자
Date

Distinct423
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
Minimum2003-04-18 11:50:37
Maximum2024-04-19 17:50:51
2024-04-30T04:59:52.814633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:59:52.941161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
I
328 
U
221 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 328
59.7%
U 221
40.3%

Length

2024-04-30T04:59:53.231165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:59:53.299639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 328
59.7%
u 221
40.3%

데이터갱신일자
Date

Distinct135
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 22:01:00
2024-04-30T04:59:53.387345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:59:53.534747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing549
Missing (%)100.0%
Memory size5.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct435
Distinct (%)80.9%
Missing11
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean185942.35
Minimum182735.79
Maximum189124.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2024-04-30T04:59:53.665541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182735.79
5-th percentile183239.47
Q1185457.67
median186161.25
Q3186849.07
95-th percentile187911.33
Maximum189124.44
Range6388.6543
Interquartile range (IQR)1391.3984

Descriptive statistics

Standard deviation1488.0909
Coefficient of variation (CV)0.0080029691
Kurtosis-0.39440254
Mean185942.35
Median Absolute Deviation (MAD)694.79436
Skewness-0.43689922
Sum1.0003699 × 108
Variance2214414.6
MonotonicityNot monotonic
2024-04-30T04:59:53.773035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186218.463771882 4
 
0.7%
185697.384517088 3
 
0.5%
185734.447656163 3
 
0.5%
186766.283325394 3
 
0.5%
183335.627064206 3
 
0.5%
187795.740019101 3
 
0.5%
185580.400233458 3
 
0.5%
185278.799329348 3
 
0.5%
186843.814711813 3
 
0.5%
187850.584181126 3
 
0.5%
Other values (425) 507
92.3%
(Missing) 11
 
2.0%
ValueCountFrequency (%)
182735.786874703 1
0.2%
182794.441839414 1
0.2%
182846.62641593 1
0.2%
182867.043235833 1
0.2%
182924.505322144 1
0.2%
182959.976679854 1
0.2%
183054.150537184 1
0.2%
183095.853129506 1
0.2%
183115.296915974 1
0.2%
183117.281621173 1
0.2%
ValueCountFrequency (%)
189124.441211963 1
0.2%
189102.277524848 1
0.2%
189098.806779959 1
0.2%
189003.872396936 1
0.2%
188963.907416791 1
0.2%
188923.593727873 1
0.2%
188907.145870979 1
0.2%
188892.449990741 1
0.2%
188890.131054488 2
0.4%
188824.49766382 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct435
Distinct (%)80.9%
Missing11
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean449737.95
Minimum447316.21
Maximum452906.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2024-04-30T04:59:53.882671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447316.21
5-th percentile447537.16
Q1448116.2
median449985.87
Q3450883
95-th percentile452243.5
Maximum452906.52
Range5590.3063
Interquartile range (IQR)2766.8004

Descriptive statistics

Standard deviation1531.0582
Coefficient of variation (CV)0.0034043341
Kurtosis-1.1846999
Mean449737.95
Median Absolute Deviation (MAD)1225.9277
Skewness-0.0088925357
Sum2.4195901 × 108
Variance2344139.3
MonotonicityNot monotonic
2024-04-30T04:59:53.989501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449230.382537378 4
 
0.7%
450810.997504068 3
 
0.5%
447829.918724731 3
 
0.5%
449982.590020084 3
 
0.5%
451044.288913202 3
 
0.5%
447772.561141335 3
 
0.5%
449111.305358283 3
 
0.5%
448676.705275244 3
 
0.5%
450128.530065558 3
 
0.5%
447996.663214871 3
 
0.5%
Other values (425) 507
92.3%
(Missing) 11
 
2.0%
ValueCountFrequency (%)
447316.214981355 1
0.2%
447323.008024977 1
0.2%
447324.010715124 1
0.2%
447330.821264356 2
0.4%
447331.491847206 1
0.2%
447339.424228493 2
0.4%
447353.94960188 2
0.4%
447354.647481465 1
0.2%
447363.383938393 1
0.2%
447382.923548149 2
0.4%
ValueCountFrequency (%)
452906.521290095 1
0.2%
452817.469477897 1
0.2%
452786.226054081 1
0.2%
452430.779342 1
0.2%
452392.862590895 1
0.2%
452389.577569271 1
0.2%
452387.315435644 1
0.2%
452346.377830739 1
0.2%
452342.618122287 1
0.2%
452337.321434998 1
0.2%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
당구장업
489 
<NA>
60 

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 489
89.1%
<NA> 60
 
10.9%

Length

2024-04-30T04:59:54.092466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:59:54.182505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 489
89.1%
na 60
 
10.9%

공사립구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
사립
489 
<NA>
60 

Length

Max length4
Median length2
Mean length2.2185792
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 489
89.1%
<NA> 60
 
10.9%

Length

2024-04-30T04:59:54.274449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:59:54.362618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 489
89.1%
na 60
 
10.9%

보험가입여부코드
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
439 
0
110 

Length

Max length4
Median length4
Mean length3.3989071
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 439
80.0%
0 110
 
20.0%

Length

2024-04-30T04:59:54.463316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:59:54.552840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 439
80.0%
0 110
 
20.0%

지도자수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
386 
0
163 

Length

Max length4
Median length4
Mean length3.1092896
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 386
70.3%
0 163
29.7%

Length

2024-04-30T04:59:54.658826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:59:54.744596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 386
70.3%
0 163
29.7%

건축물동수
Categorical

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
290 
0
173 
1
84 
7
 
1
2
 
1

Length

Max length4
Median length4
Mean length2.5846995
Min length1

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 290
52.8%
0 173
31.5%
1 84
 
15.3%
7 1
 
0.2%
2 1
 
0.2%

Length

2024-04-30T04:59:54.834188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:59:54.931637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 290
52.8%
0 173
31.5%
1 84
 
15.3%
7 1
 
0.2%
2 1
 
0.2%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct230
Distinct (%)54.5%
Missing127
Missing (%)23.1%
Infinite0
Infinite (%)0.0%
Mean3068.3009
Minimum0
Maximum132407
Zeros165
Zeros (%)30.1%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2024-04-30T04:59:55.028360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median794.32
Q31566.38
95-th percentile12609.36
Maximum132407
Range132407
Interquartile range (IQR)1566.38

Descriptive statistics

Standard deviation12393.743
Coefficient of variation (CV)4.0392852
Kurtosis73.117633
Mean3068.3009
Median Absolute Deviation (MAD)794.32
Skewness8.137975
Sum1294823
Variance1.5360485 × 108
MonotonicityNot monotonic
2024-04-30T04:59:55.154873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 165
30.1%
964.37 3
 
0.5%
3222.6 3
 
0.5%
949.0 2
 
0.4%
1320.55 2
 
0.4%
1763.6 2
 
0.4%
493.24 2
 
0.4%
747.6 2
 
0.4%
17776.04 2
 
0.4%
1661.81 2
 
0.4%
Other values (220) 237
43.2%
(Missing) 127
23.1%
ValueCountFrequency (%)
0.0 165
30.1%
169.36 1
 
0.2%
305.12 1
 
0.2%
313.7 1
 
0.2%
364.37 1
 
0.2%
391.31 1
 
0.2%
395.04 1
 
0.2%
434.75 1
 
0.2%
458.36 1
 
0.2%
474.59 1
 
0.2%
ValueCountFrequency (%)
132407.0 2
0.4%
99647.41 1
0.2%
93582.05 1
0.2%
75198.46 1
0.2%
45788.42 1
0.2%
26217.02 1
0.2%
23780.58 1
0.2%
23318.95 1
0.2%
23195.07 2
0.4%
20440.12 1
0.2%

회원모집총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
542 
0
 
7

Length

Max length4
Median length4
Mean length3.9617486
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> 542
98.7%
0 7
 
1.3%

Length

2024-04-30T04:59:55.263930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:59:55.349667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 542
98.7%
0 7
 
1.3%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing549
Missing (%)100.0%
Memory size5.0 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing549
Missing (%)100.0%
Memory size5.0 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03150000CDFH330108197900000119790315<NA>3폐업3폐업20011129<NA><NA><NA>602-1967<NA>157871서울특별시 강서구 화곡동 98-154번지서울특별시 강서구 초록마을로2길 48 (화곡동)<NA>화곡당구장2007-01-19 17:28:54I2018-08-31 23:59:59.0<NA>186099.779139449011.857845당구장업사립0<NA><NA><NA><NA><NA><NA>
13150000CDFH330108198000000119800219<NA>3폐업3폐업20060317<NA><NA><NA>2664-5857<NA>157853서울특별시 강서구 방화동 614-97번지서울특별시 강서구 방화동로 45 (방화동)<NA>군주당구장2006-03-17 14:56:16I2018-08-31 23:59:59.0<NA>183250.670089451399.992756당구장업사립0<NA><NA><NA><NA><NA><NA>
23150000CDFH330108198000000219801119<NA>1영업/정상13영업중<NA><NA><NA><NA>2664-7853<NA><NA>서울특별시 강서구 공항동 53-1번지 3층서울특별시 강서구 공항대로 24, 3층 (공항동)7623청운당구장2019-12-20 22:12:53U2019-12-22 02:40:00.0<NA>183138.805912451002.52504당구장업사립<NA><NA><NA>995.36<NA><NA><NA>
33150000CDFH330108198000000319801208<NA>3폐업3폐업20010910<NA><NA><NA>664-9612<NA>157833서울특별시 강서구 내발산동 701-1번지서울특별시 강서구 강서로 299 (내발산동)<NA>발산2003-04-18 11:50:37I2018-08-31 23:59:59.0<NA>185437.626964450042.953948당구장업사립<NA>000.0<NA><NA><NA>
43150000CDFH330108198100000119810206<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 방화동 562-5번지 2층서울특별시 강서구 양천로16길 2, 2층 (방화동)7603오스카 당구장2017-12-12 22:19:58I2018-08-31 23:59:59.0<NA>183205.514131452313.102504당구장업사립<NA><NA>0831.09<NA><NA><NA>
53150000CDFH330108198200000119821019<NA>3폐업3폐업20001023<NA><NA><NA><NA><NA>157884서울특별시 강서구 화곡동 372-3번지서울특별시 강서구 가로공원로76길 6 (화곡동)<NA>신제일2003-04-18 11:50:37I2018-08-31 23:59:59.0<NA>185520.500773448289.439635당구장업사립<NA>000.0<NA><NA><NA>
63150000CDFH330108198200000219820428<NA>3폐업3폐업20020325<NA><NA><NA>663-2164<NA>157851서울특별시 강서구 방화동 606-112번지서울특별시 강서구 방화동로 59 (방화동)<NA>태평양2003-04-18 11:50:37I2018-08-31 23:59:59.0<NA>183324.680224451522.024642당구장업사립<NA>000.0<NA><NA><NA>
73150000CDFH330108198200000319821029<NA>3폐업3폐업20011224<NA><NA><NA>3661-8317<NA>157839서울특별시 강서구 등촌동 633-7번지서울특별시 강서구 양천로 626 (등촌동)<NA>제일당구장2003-04-18 11:50:37I2018-08-31 23:59:59.0<NA>188181.747875450207.898932당구장업사립<NA>000.0<NA><NA><NA>
83150000CDFH330108198200000419820825<NA>3폐업3폐업20010920<NA><NA><NA>607-7350<NA>157882서울특별시 강서구 화곡동 354-61번지서울특별시 강서구 강서로17길 114 (화곡동)<NA>짱당구장2003-04-18 11:50:37I2018-08-31 23:59:59.0<NA>185740.239639447815.978957당구장업사립<NA>000.0<NA><NA><NA>
93150000CDFH330108198200000519820927<NA>3폐업3폐업20201123<NA><NA><NA>664-4287<NA>157850서울특별시 강서구 방화동 562-21서울특별시 강서구 양천로16길 16 (방화동)<NA>씩스나인2020-11-23 16:28:44U2020-11-25 02:40:00.0<NA>183234.666587452266.510499당구장업사립<NA>000.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
5393150000CDFH33010820210000062021-08-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 공항동 53-15서울특별시 강서구 송정로 70, 2층 (공항동)7623AJ당구클럽2023-12-05 19:52:03U2022-11-02 00:07:00.0<NA>183137.394066450980.536782<NA><NA><NA><NA><NA><NA><NA><NA><NA>
5403150000CDFH330108202100000720210827<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 가양동 130-1 도우빌딩서울특별시 강서구 양천로 362, 도우빌딩 2층, 5층 (가양동)7573이타당구장2022-04-06 19:42:25U2021-12-04 00:08:00.0<NA>186012.469761451706.40244<NA><NA><NA><NA><NA><NA><NA><NA><NA>
5413150000CDFH330108202100000820211018<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 방화동 597-34서울특별시 강서구 방화동로 87, 2층 (방화동)7607썬 당구클럽2022-12-02 09:12:00U2021-11-02 00:04:00.0<NA>183375.625751451802.461353<NA><NA><NA><NA><NA><NA><NA><NA><NA>
5423150000CDFH330108202100000920211130<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 내발산동 646-2서울특별시 강서구 강서로52길 13, 3층 (내발산동)7646거기 당구장2021-11-30 10:36:20I2021-12-03 00:22:43.0<NA>185705.990367450641.290762당구장업사립<NA>001374.070<NA><NA>
5433150000CDFH330108202200000120220218<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 등촌동 640-6서울특별시 강서구 공항대로45길 49, 2층 (등촌동)7568연승당구클럽2022-02-18 20:05:10I2022-02-22 00:22:38.0<NA>187181.438896450581.450822당구장업사립<NA>00664.640<NA><NA>
5443150000CDFH330108202200000220220823<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 934-26서울특별시 강서구 강서로5나길 141, 3층 (화곡동)7780당굴당굴2022-09-13 13:44:41U2021-12-08 23:05:00.0<NA>185794.136215447323.008025<NA><NA><NA><NA><NA><NA><NA><NA><NA>
5453150000CDFH33010820220000032022-12-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 343-56 블루힐서울특별시 강서구 강서로 43-13, B301호 (화곡동, 블루힐)7774롤링스톤 당구클럽2023-07-06 09:27:00U2022-12-07 00:09:00.0<NA>186362.674642447680.438592<NA><NA><NA><NA><NA><NA><NA><NA><NA>
5463150000CDFH33010820230000012023-03-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 780-1서울특별시 강서구 곰달래로60길 12, 2층 (화곡동)7785큐당구장2023-12-28 13:41:39U2022-11-01 21:00:00.0<NA>187816.772301447730.352539<NA><NA><NA><NA><NA><NA><NA><NA><NA>
5473150000CDFH33010820230000022023-06-02<NA>3폐업3폐업2023-07-05<NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 24-486 강서빌딩서울특별시 강서구 화곡로 226, 강서빌딩 4층 (화곡동)7679월드컵당구장2023-07-05 16:30:43U2022-12-07 00:07:00.0<NA>186218.463772449230.382537<NA><NA><NA><NA><NA><NA><NA><NA><NA>
5483150000CDFH33010820230000032023-07-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 1073-3 백합빌딩서울특별시 강서구 화곡로 134, 백합빌딩 2층 (화곡동)7715화곡당구클럽2023-07-13 16:05:40I2022-12-06 23:05:00.0<NA>185504.480005448698.005003<NA><NA><NA><NA><NA><NA><NA><NA><NA>