Overview

Dataset statistics

Number of variables34
Number of observations540
Missing cells5493
Missing cells (%)29.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory153.6 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
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-19631/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
회원모집총인원 is highly imbalanced (85.6%)Imbalance
인허가취소일자 has 540 (100.0%) missing valuesMissing
폐업일자 has 157 (29.1%) missing valuesMissing
휴업시작일자 has 540 (100.0%) missing valuesMissing
휴업종료일자 has 540 (100.0%) missing valuesMissing
재개업일자 has 540 (100.0%) missing valuesMissing
전화번호 has 153 (28.3%) missing valuesMissing
소재지면적 has 540 (100.0%) missing valuesMissing
소재지우편번호 has 136 (25.2%) missing valuesMissing
도로명주소 has 28 (5.2%) missing valuesMissing
도로명우편번호 has 367 (68.0%) missing valuesMissing
업태구분명 has 540 (100.0%) missing valuesMissing
좌표정보(X) has 17 (3.1%) missing valuesMissing
좌표정보(Y) has 17 (3.1%) missing valuesMissing
건축물연면적 has 298 (55.2%) missing valuesMissing
세부업종명 has 540 (100.0%) missing valuesMissing
법인명 has 540 (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 194 (35.9%) zerosZeros

Reproduction

Analysis started2024-05-11 07:48:55.939623
Analysis finished2024-05-11 07:48:57.505400
Duration1.57 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
3040000
540 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 540
100.0%

Length

2024-05-11T07:48:57.789382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:48:58.195766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 540
100.0%

관리번호
Text

UNIQUE 

Distinct540
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2024-05-11T07:48:58.745628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters10800
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

Unique540 ?
Unique (%)100.0%

Sample

1st rowCDFH3301081973000001
2nd rowCDFH3301081973000002
3rd rowCDFH3301081981000001
4th rowCDFH3301081981000002
5th rowCDFH3301081981000003
ValueCountFrequency (%)
cdfh3301081973000001 1
 
0.2%
cdfh3301082005000001 1
 
0.2%
cdfh3301082006000005 1
 
0.2%
cdfh3301082006000003 1
 
0.2%
cdfh3301082006000002 1
 
0.2%
cdfh3301082006000001 1
 
0.2%
cdfh3301082005000011 1
 
0.2%
cdfh3301082005000010 1
 
0.2%
cdfh3301082005000009 1
 
0.2%
cdfh3301082005000008 1
 
0.2%
Other values (530) 530
98.1%
2024-05-11T07:49:00.045899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3991
37.0%
3 1222
 
11.3%
1 1100
 
10.2%
8 656
 
6.1%
9 645
 
6.0%
C 540
 
5.0%
D 540
 
5.0%
F 540
 
5.0%
H 540
 
5.0%
2 437
 
4.0%
Other values (4) 589
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8640
80.0%
Uppercase Letter 2160
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3991
46.2%
3 1222
 
14.1%
1 1100
 
12.7%
8 656
 
7.6%
9 645
 
7.5%
2 437
 
5.1%
7 190
 
2.2%
6 157
 
1.8%
5 129
 
1.5%
4 113
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
C 540
25.0%
D 540
25.0%
F 540
25.0%
H 540
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8640
80.0%
Latin 2160
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3991
46.2%
3 1222
 
14.1%
1 1100
 
12.7%
8 656
 
7.6%
9 645
 
7.5%
2 437
 
5.1%
7 190
 
2.2%
6 157
 
1.8%
5 129
 
1.5%
4 113
 
1.3%
Latin
ValueCountFrequency (%)
C 540
25.0%
D 540
25.0%
F 540
25.0%
H 540
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3991
37.0%
3 1222
 
11.3%
1 1100
 
10.2%
8 656
 
6.1%
9 645
 
6.0%
C 540
 
5.0%
D 540
 
5.0%
F 540
 
5.0%
H 540
 
5.0%
2 437
 
4.0%
Other values (4) 589
 
5.5%

인허가일자
Date

Distinct456
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
Minimum1973-01-31 00:00:00
Maximum2024-03-05 00:00:00
2024-05-11T07:49:00.714077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:49:01.533663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing540
Missing (%)100.0%
Memory size4.9 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
3
276 
1
157 
4
107 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 276
51.1%
1 157
29.1%
4 107
 
19.8%

Length

2024-05-11T07:49:02.095282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:49:02.523875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 276
51.1%
1 157
29.1%
4 107
 
19.8%

영업상태명
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
폐업
276 
영업/정상
157 
취소/말소/만료/정지/중지
107 

Length

Max length14
Median length2
Mean length5.25
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 276
51.1%
영업/정상 157
29.1%
취소/말소/만료/정지/중지 107
 
19.8%

Length

2024-05-11T07:49:03.125556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:49:03.687401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 276
51.1%
영업/정상 157
29.1%
취소/말소/만료/정지/중지 107
 
19.8%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
3
276 
13
157 
35
107 

Length

Max length2
Median length1
Mean length1.4888889
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 276
51.1%
13 157
29.1%
35 107
 
19.8%

Length

2024-05-11T07:49:04.291861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:49:04.684418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 276
51.1%
13 157
29.1%
35 107
 
19.8%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
폐업
276 
영업중
157 
직권말소
107 

Length

Max length4
Median length2
Mean length2.687037
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 276
51.1%
영업중 157
29.1%
직권말소 107
 
19.8%

Length

2024-05-11T07:49:05.246160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:49:05.971899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 276
51.1%
영업중 157
29.1%
직권말소 107
 
19.8%

폐업일자
Date

MISSING 

Distinct250
Distinct (%)65.3%
Missing157
Missing (%)29.1%
Memory size4.3 KiB
Minimum1997-12-13 00:00:00
Maximum2024-02-26 00:00:00
2024-05-11T07:49:06.823220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:49:07.710987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing540
Missing (%)100.0%
Memory size4.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing540
Missing (%)100.0%
Memory size4.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing540
Missing (%)100.0%
Memory size4.9 KiB

전화번호
Text

MISSING 

Distinct381
Distinct (%)98.4%
Missing153
Missing (%)28.3%
Memory size4.3 KiB
2024-05-11T07:49:08.864431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.8914729
Min length8

Characters and Unicode

Total characters3441
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

Unique375 ?
Unique (%)96.9%

Sample

1st row0201-8366
2nd row452-4401
3rd row462-1180
4th row444-2845
5th row491-6643
ValueCountFrequency (%)
468-6507 2
 
0.5%
455-9795 2
 
0.5%
3437-7353 2
 
0.5%
2201-6386 2
 
0.5%
462-9636 2
 
0.5%
02)457-0643 2
 
0.5%
02)461-6151 2
 
0.5%
456-1960 1
 
0.3%
455-3039 1
 
0.3%
0923-2286 1
 
0.3%
Other values (370) 370
95.6%
2024-05-11T07:49:10.400685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 590
17.1%
- 438
12.7%
6 336
9.8%
2 305
8.9%
0 304
8.8%
5 294
8.5%
3 267
7.8%
9 253
7.4%
7 219
 
6.4%
1 206
 
6.0%
Other values (3) 229
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2959
86.0%
Dash Punctuation 438
 
12.7%
Close Punctuation 39
 
1.1%
Open Punctuation 5
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 590
19.9%
6 336
11.4%
2 305
10.3%
0 304
10.3%
5 294
9.9%
3 267
9.0%
9 253
8.6%
7 219
 
7.4%
1 206
 
7.0%
8 185
 
6.3%
Dash Punctuation
ValueCountFrequency (%)
- 438
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3441
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 590
17.1%
- 438
12.7%
6 336
9.8%
2 305
8.9%
0 304
8.8%
5 294
8.5%
3 267
7.8%
9 253
7.4%
7 219
 
6.4%
1 206
 
6.0%
Other values (3) 229
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3441
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 590
17.1%
- 438
12.7%
6 336
9.8%
2 305
8.9%
0 304
8.8%
5 294
8.5%
3 267
7.8%
9 253
7.4%
7 219
 
6.4%
1 206
 
6.0%
Other values (3) 229
 
6.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing540
Missing (%)100.0%
Memory size4.9 KiB

소재지우편번호
Text

MISSING 

Distinct113
Distinct (%)28.0%
Missing136
Missing (%)25.2%
Memory size4.3 KiB
2024-05-11T07:49:11.457509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2128713
Min length6

Characters and Unicode

Total characters2510
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

Unique38 ?
Unique (%)9.4%

Sample

1st row143915
2nd row143915
3rd row143847
4th row143909
5th row143901
ValueCountFrequency (%)
143915 28
 
6.9%
143914 24
 
5.9%
143841 17
 
4.2%
143888 13
 
3.2%
143846 12
 
3.0%
143867 11
 
2.7%
143885 11
 
2.7%
143917 9
 
2.2%
143890 9
 
2.2%
143-914 9
 
2.2%
Other values (103) 261
64.6%
2024-05-11T07:49:12.511714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 566
22.5%
4 516
20.6%
3 460
18.3%
8 337
13.4%
9 174
 
6.9%
6 88
 
3.5%
- 86
 
3.4%
0 83
 
3.3%
5 79
 
3.1%
2 66
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2424
96.6%
Dash Punctuation 86
 
3.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 566
23.3%
4 516
21.3%
3 460
19.0%
8 337
13.9%
9 174
 
7.2%
6 88
 
3.6%
0 83
 
3.4%
5 79
 
3.3%
2 66
 
2.7%
7 55
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2510
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 566
22.5%
4 516
20.6%
3 460
18.3%
8 337
13.4%
9 174
 
6.9%
6 88
 
3.5%
- 86
 
3.4%
0 83
 
3.3%
5 79
 
3.1%
2 66
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2510
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 566
22.5%
4 516
20.6%
3 460
18.3%
8 337
13.4%
9 174
 
6.9%
6 88
 
3.5%
- 86
 
3.4%
0 83
 
3.3%
5 79
 
3.1%
2 66
 
2.6%

지번주소
Text

Distinct513
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2024-05-11T07:49:13.172752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length36
Mean length23.012963
Min length17

Characters and Unicode

Total characters12427
Distinct characters98
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

Unique487 ?
Unique (%)90.2%

Sample

1st row서울특별시 광진구 화양동 495-19
2nd row서울특별시 광진구 화양동 207-6번지
3rd row서울특별시 광진구 화양동 192-0번지
4th row서울특별시 광진구 능동 222-3번지
5th row서울특별시 광진구 중곡동 558-2번지
ValueCountFrequency (%)
서울특별시 540
22.5%
광진구 540
22.5%
자양동 138
 
5.8%
중곡동 124
 
5.2%
화양동 120
 
5.0%
구의동 95
 
4.0%
2층 60
 
2.5%
3층 41
 
1.7%
군자동 38
 
1.6%
지하1층 28
 
1.2%
Other values (524) 674
28.1%
2024-05-11T07:49:14.300983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2250
18.1%
구 635
 
5.1%
광 553
 
4.4%
동 547
 
4.4%
진 542
 
4.4%
시 541
 
4.4%
울 540
 
4.3%
서 540
 
4.3%
별 540
 
4.3%
특 540
 
4.3%
Other values (88) 5199
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7122
57.3%
Decimal Number 2463
 
19.8%
Space Separator 2250
 
18.1%
Dash Punctuation 530
 
4.3%
Close Punctuation 21
 
0.2%
Open Punctuation 21
 
0.2%
Other Punctuation 10
 
0.1%
Uppercase Letter 7
 
0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 635
 
8.9%
광 553
 
7.8%
동 547
 
7.7%
진 542
 
7.6%
시 541
 
7.6%
울 540
 
7.6%
서 540
 
7.6%
별 540
 
7.6%
특 540
 
7.6%
지 451
 
6.3%
Other values (68) 1693
23.8%
Decimal Number
ValueCountFrequency (%)
1 501
20.3%
2 469
19.0%
3 295
12.0%
4 225
9.1%
6 223
9.1%
5 202
8.2%
0 151
 
6.1%
7 149
 
6.0%
9 138
 
5.6%
8 110
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
B 4
57.1%
C 1
 
14.3%
S 1
 
14.3%
A 1
 
14.3%
Space Separator
ValueCountFrequency (%)
2250
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 530
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7122
57.3%
Common 5298
42.6%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 635
 
8.9%
광 553
 
7.8%
동 547
 
7.7%
진 542
 
7.6%
시 541
 
7.6%
울 540
 
7.6%
서 540
 
7.6%
별 540
 
7.6%
특 540
 
7.6%
지 451
 
6.3%
Other values (68) 1693
23.8%
Common
ValueCountFrequency (%)
2250
42.5%
- 530
 
10.0%
1 501
 
9.5%
2 469
 
8.9%
3 295
 
5.6%
4 225
 
4.2%
6 223
 
4.2%
5 202
 
3.8%
0 151
 
2.9%
7 149
 
2.8%
Other values (6) 303
 
5.7%
Latin
ValueCountFrequency (%)
B 4
57.1%
C 1
 
14.3%
S 1
 
14.3%
A 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7122
57.3%
ASCII 5305
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2250
42.4%
- 530
 
10.0%
1 501
 
9.4%
2 469
 
8.8%
3 295
 
5.6%
4 225
 
4.2%
6 223
 
4.2%
5 202
 
3.8%
0 151
 
2.8%
7 149
 
2.8%
Other values (10) 310
 
5.8%
Hangul
ValueCountFrequency (%)
구 635
 
8.9%
광 553
 
7.8%
동 547
 
7.7%
진 542
 
7.6%
시 541
 
7.6%
울 540
 
7.6%
서 540
 
7.6%
별 540
 
7.6%
특 540
 
7.6%
지 451
 
6.3%
Other values (68) 1693
23.8%

도로명주소
Text

MISSING 

Distinct493
Distinct (%)96.3%
Missing28
Missing (%)5.2%
Memory size4.3 KiB
2024-05-11T07:49:14.894741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length43
Mean length27.048828
Min length22

Characters and Unicode

Total characters13849
Distinct characters133
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

Unique474 ?
Unique (%)92.6%

Sample

1st row서울특별시 광진구 광나루로24길 20 (화양동)
2nd row서울특별시 광진구 광나루로 384 (화양동)
3rd row서울특별시 광진구 천호대로 572 (능동)
4th row서울특별시 광진구 면목로 195 (중곡동)
5th row서울특별시 광진구 동일로72길 9 (중곡동)
ValueCountFrequency (%)
서울특별시 512
18.5%
광진구 512
18.5%
중곡동 109
 
3.9%
자양동 108
 
3.9%
화양동 93
 
3.4%
구의동 72
 
2.6%
능동로 53
 
1.9%
아차산로 46
 
1.7%
2층 35
 
1.3%
지층 32
 
1.2%
Other values (457) 1190
43.1%
2024-05-11T07:49:15.926281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2503
 
18.1%
동 648
 
4.7%
구 615
 
4.4%
광 572
 
4.1%
) 528
 
3.8%
( 528
 
3.8%
진 517
 
3.7%
서 514
 
3.7%
울 514
 
3.7%
시 513
 
3.7%
Other values (123) 6397
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8151
58.9%
Space Separator 2503
 
18.1%
Decimal Number 1842
 
13.3%
Close Punctuation 528
 
3.8%
Open Punctuation 528
 
3.8%
Other Punctuation 258
 
1.9%
Dash Punctuation 29
 
0.2%
Uppercase Letter 7
 
0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 648
 
7.9%
구 615
 
7.5%
광 572
 
7.0%
진 517
 
6.3%
서 514
 
6.3%
울 514
 
6.3%
시 513
 
6.3%
로 512
 
6.3%
별 512
 
6.3%
특 512
 
6.3%
Other values (103) 2722
33.4%
Decimal Number
ValueCountFrequency (%)
1 389
21.1%
2 303
16.4%
3 254
13.8%
4 162
8.8%
6 130
 
7.1%
0 130
 
7.1%
7 123
 
6.7%
8 122
 
6.6%
5 121
 
6.6%
9 108
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
B 4
57.1%
A 1
 
14.3%
C 1
 
14.3%
S 1
 
14.3%
Space Separator
ValueCountFrequency (%)
2503
100.0%
Close Punctuation
ValueCountFrequency (%)
) 528
100.0%
Open Punctuation
ValueCountFrequency (%)
( 528
100.0%
Other Punctuation
ValueCountFrequency (%)
, 258
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8151
58.9%
Common 5691
41.1%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 648
 
7.9%
구 615
 
7.5%
광 572
 
7.0%
진 517
 
6.3%
서 514
 
6.3%
울 514
 
6.3%
시 513
 
6.3%
로 512
 
6.3%
별 512
 
6.3%
특 512
 
6.3%
Other values (103) 2722
33.4%
Common
ValueCountFrequency (%)
2503
44.0%
) 528
 
9.3%
( 528
 
9.3%
1 389
 
6.8%
2 303
 
5.3%
, 258
 
4.5%
3 254
 
4.5%
4 162
 
2.8%
6 130
 
2.3%
0 130
 
2.3%
Other values (6) 506
 
8.9%
Latin
ValueCountFrequency (%)
B 4
57.1%
A 1
 
14.3%
C 1
 
14.3%
S 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8151
58.9%
ASCII 5698
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2503
43.9%
) 528
 
9.3%
( 528
 
9.3%
1 389
 
6.8%
2 303
 
5.3%
, 258
 
4.5%
3 254
 
4.5%
4 162
 
2.8%
6 130
 
2.3%
0 130
 
2.3%
Other values (10) 513
 
9.0%
Hangul
ValueCountFrequency (%)
동 648
 
7.9%
구 615
 
7.5%
광 572
 
7.0%
진 517
 
6.3%
서 514
 
6.3%
울 514
 
6.3%
시 513
 
6.3%
로 512
 
6.3%
별 512
 
6.3%
특 512
 
6.3%
Other values (103) 2722
33.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct90
Distinct (%)52.0%
Missing367
Missing (%)68.0%
Infinite0
Infinite (%)0.0%
Mean7423.5376
Minimum4902
Maximum143926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-05-11T07:49:16.393647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4902
5-th percentile4910
Q14969
median5021
Q35063
95-th percentile5115.4
Maximum143926
Range139024
Interquartile range (IQR)94

Descriptive statistics

Standard deviation18177.898
Coefficient of variation (CV)2.448684
Kurtosis54.273612
Mean7423.5376
Median Absolute Deviation (MAD)45
Skewness7.4596
Sum1284272
Variance3.3043597 × 108
MonotonicityNot monotonic
2024-05-11T07:49:16.778751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5043 8
 
1.5%
5072 7
 
1.3%
5009 6
 
1.1%
5044 5
 
0.9%
5019 5
 
0.9%
4950 4
 
0.7%
4910 4
 
0.7%
5073 4
 
0.7%
5021 4
 
0.7%
4954 3
 
0.6%
Other values (80) 123
 
22.8%
(Missing) 367
68.0%
ValueCountFrequency (%)
4902 2
0.4%
4905 1
 
0.2%
4906 1
 
0.2%
4907 1
 
0.2%
4909 2
0.4%
4910 4
0.7%
4911 1
 
0.2%
4913 1
 
0.2%
4914 1
 
0.2%
4915 1
 
0.2%
ValueCountFrequency (%)
143926 1
 
0.2%
143841 1
 
0.2%
143828 1
 
0.2%
5119 1
 
0.2%
5117 2
0.4%
5116 3
0.6%
5115 1
 
0.2%
5103 3
0.6%
5099 1
 
0.2%
5098 2
0.4%

사업장명
Text

Distinct426
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2024-05-11T07:49:17.325902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length5.9722222
Min length1

Characters and Unicode

Total characters3225
Distinct characters346
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique359 ?
Unique (%)66.5%

Sample

1st row대원당구장
2nd row신흥당구장
3rd row신세계당구장
4th row한성당구장
5th row나인당구장
ValueCountFrequency (%)
당구장 39
 
6.2%
당구클럽 10
 
1.6%
우리당구장 8
 
1.3%
에이스당구장 6
 
1.0%
클럽 6
 
1.0%
중앙당구장 5
 
0.8%
보스당구장 5
 
0.8%
현대당구장 5
 
0.8%
sbs당구장 5
 
0.8%
원당구장 4
 
0.6%
Other values (440) 538
85.3%
2024-05-11T07:49:18.142809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 492
 
15.3%
당 482
 
14.9%
장 415
 
12.9%
91
 
2.8%
럽 78
 
2.4%
클 76
 
2.4%
대 67
 
2.1%
스 61
 
1.9%
( 46
 
1.4%
) 46
 
1.4%
Other values (336) 1371
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2804
86.9%
Uppercase Letter 128
 
4.0%
Space Separator 91
 
2.8%
Decimal Number 66
 
2.0%
Open Punctuation 46
 
1.4%
Close Punctuation 46
 
1.4%
Lowercase Letter 34
 
1.1%
Other Punctuation 10
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 492
17.5%
당 482
17.2%
장 415
 
14.8%
럽 78
 
2.8%
클 76
 
2.7%
대 67
 
2.4%
스 61
 
2.2%
리 41
 
1.5%
이 32
 
1.1%
드 22
 
0.8%
Other values (285) 1038
37.0%
Uppercase Letter
ValueCountFrequency (%)
S 22
17.2%
B 19
14.8%
M 10
 
7.8%
C 9
 
7.0%
A 8
 
6.2%
J 8
 
6.2%
L 7
 
5.5%
P 6
 
4.7%
I 6
 
4.7%
O 6
 
4.7%
Other values (11) 27
21.1%
Lowercase Letter
ValueCountFrequency (%)
l 5
14.7%
a 5
14.7%
r 4
11.8%
i 4
11.8%
m 3
8.8%
s 2
 
5.9%
d 2
 
5.9%
e 2
 
5.9%
o 2
 
5.9%
n 1
 
2.9%
Other values (4) 4
11.8%
Decimal Number
ValueCountFrequency (%)
7 12
18.2%
1 10
15.2%
6 8
12.1%
8 8
12.1%
2 8
12.1%
5 7
10.6%
9 5
7.6%
0 3
 
4.5%
4 3
 
4.5%
3 2
 
3.0%
Other Punctuation
ValueCountFrequency (%)
. 8
80.0%
& 1
 
10.0%
/ 1
 
10.0%
Space Separator
ValueCountFrequency (%)
91
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2804
86.9%
Common 259
 
8.0%
Latin 162
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 492
17.5%
당 482
17.2%
장 415
 
14.8%
럽 78
 
2.8%
클 76
 
2.7%
대 67
 
2.4%
스 61
 
2.2%
리 41
 
1.5%
이 32
 
1.1%
드 22
 
0.8%
Other values (285) 1038
37.0%
Latin
ValueCountFrequency (%)
S 22
 
13.6%
B 19
 
11.7%
M 10
 
6.2%
C 9
 
5.6%
A 8
 
4.9%
J 8
 
4.9%
L 7
 
4.3%
P 6
 
3.7%
I 6
 
3.7%
O 6
 
3.7%
Other values (25) 61
37.7%
Common
ValueCountFrequency (%)
91
35.1%
( 46
17.8%
) 46
17.8%
7 12
 
4.6%
1 10
 
3.9%
. 8
 
3.1%
6 8
 
3.1%
8 8
 
3.1%
2 8
 
3.1%
5 7
 
2.7%
Other values (6) 15
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2804
86.9%
ASCII 421
 
13.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 492
17.5%
당 482
17.2%
장 415
 
14.8%
럽 78
 
2.8%
클 76
 
2.7%
대 67
 
2.4%
스 61
 
2.2%
리 41
 
1.5%
이 32
 
1.1%
드 22
 
0.8%
Other values (285) 1038
37.0%
ASCII
ValueCountFrequency (%)
91
21.6%
( 46
 
10.9%
) 46
 
10.9%
S 22
 
5.2%
B 19
 
4.5%
7 12
 
2.9%
1 10
 
2.4%
M 10
 
2.4%
C 9
 
2.1%
. 8
 
1.9%
Other values (41) 148
35.2%

최종수정일자
Date

Distinct376
Distinct (%)69.6%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
Minimum2003-05-13 11:23:25
Maximum2024-03-28 09:36:07
2024-05-11T07:49:18.575783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:49:19.009889image/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 size4.3 KiB
I
357 
U
183 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 357
66.1%
U 183
33.9%

Length

2024-05-11T07:49:19.446183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:49:19.750201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 357
66.1%
u 183
33.9%

데이터갱신일자
Date

Distinct104
Distinct (%)19.3%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:09:00
2024-05-11T07:49:20.084932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:49:20.546256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing540
Missing (%)100.0%
Memory size4.9 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct403
Distinct (%)77.1%
Missing17
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean206932.61
Minimum205390.46
Maximum209506.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-05-11T07:49:20.968729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205390.46
5-th percentile205651.95
Q1206242.45
median207014.65
Q3207510.81
95-th percentile208073.88
Maximum209506.55
Range4116.0861
Interquartile range (IQR)1268.3627

Descriptive statistics

Standard deviation820.82344
Coefficient of variation (CV)0.0039666221
Kurtosis-0.015154557
Mean206932.61
Median Absolute Deviation (MAD)659.89531
Skewness0.31378444
Sum1.0822575 × 108
Variance673751.11
MonotonicityNot monotonic
2024-05-11T07:49:21.582054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
207747.893953282 4
 
0.7%
205612.40218535 4
 
0.7%
205754.702605016 3
 
0.6%
205390.463339147 3
 
0.6%
207760.533965108 3
 
0.6%
207081.397775132 3
 
0.6%
206704.531258263 3
 
0.6%
206293.664148482 3
 
0.6%
207421.130314983 3
 
0.6%
207438.6744226 3
 
0.6%
Other values (393) 491
90.9%
(Missing) 17
 
3.1%
ValueCountFrequency (%)
205390.463339147 3
0.6%
205404.102971486 1
 
0.2%
205473.975692391 1
 
0.2%
205481.814359166 2
0.4%
205482.17562441 1
 
0.2%
205510.476832288 2
0.4%
205530.109567924 2
0.4%
205548.689811343 1
 
0.2%
205558.637304498 1
 
0.2%
205580.152429857 1
 
0.2%
ValueCountFrequency (%)
209506.54940258 1
0.2%
209474.048905453 1
0.2%
209466.623798475 1
0.2%
209443.999340529 1
0.2%
209435.874794321 1
0.2%
209386.519074531 1
0.2%
209348.599675742 1
0.2%
209341.275690384 1
0.2%
209322.702929081 1
0.2%
209079.012519164 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct403
Distinct (%)77.1%
Missing17
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean449396.53
Minimum447612.96
Maximum452134.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-05-11T07:49:21.999454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447612.96
5-th percentile447836.58
Q1448498.48
median449180.41
Q3450415.29
95-th percentile451395.6
Maximum452134.45
Range4521.4906
Interquartile range (IQR)1916.8173

Descriptive statistics

Standard deviation1125.7052
Coefficient of variation (CV)0.0025049264
Kurtosis-0.72231629
Mean449396.53
Median Absolute Deviation (MAD)798.53003
Skewness0.53814702
Sum2.3503438 × 108
Variance1267212.2
MonotonicityNot monotonic
2024-05-11T07:49:22.503703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450639.201015458 4
 
0.7%
448221.506050387 4
 
0.7%
448724.762638215 3
 
0.6%
448294.665199062 3
 
0.6%
450312.951576308 3
 
0.6%
451395.601315024 3
 
0.6%
450551.527078331 3
 
0.6%
449549.386757289 3
 
0.6%
448507.245598383 3
 
0.6%
448349.308629367 3
 
0.6%
Other values (393) 491
90.9%
(Missing) 17
 
3.1%
ValueCountFrequency (%)
447612.962132252 1
0.2%
447632.649259486 1
0.2%
447639.665041334 1
0.2%
447649.840581822 1
0.2%
447684.16710521 1
0.2%
447691.293841398 1
0.2%
447717.445119677 2
0.4%
447730.416384887 1
0.2%
447752.463189936 1
0.2%
447754.585448225 1
0.2%
ValueCountFrequency (%)
452134.45276901 2
0.4%
452041.121897854 1
0.2%
452040.483594359 1
0.2%
452034.440353727 1
0.2%
452005.004881333 2
0.4%
451997.697287274 1
0.2%
451991.900378929 1
0.2%
451951.606434503 1
0.2%
451925.04287602 1
0.2%
451889.632305793 1
0.2%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
당구장업
397 
<NA>
143 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
당구장업 397
73.5%
<NA> 143
 
26.5%

Length

2024-05-11T07:49:23.060505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:49:23.356088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 397
73.5%
na 143
 
26.5%

공사립구분명
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
사립
396 
<NA>
143 
공립
 
1

Length

Max length4
Median length2
Mean length2.5296296
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
사립 396
73.3%
<NA> 143
 
26.5%
공립 1
 
0.2%

Length

2024-05-11T07:49:23.887318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:49:24.268765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 396
73.3%
na 143
 
26.5%
공립 1
 
0.2%

보험가입여부코드
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
<NA>
457 
0
83 

Length

Max length4
Median length4
Mean length3.5388889
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 457
84.6%
0 83
 
15.4%

Length

2024-05-11T07:49:24.692408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:49:25.116057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 457
84.6%
0 83
 
15.4%

지도자수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
<NA>
360 
0
180 

Length

Max length4
Median length4
Mean length3
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 360
66.7%
0 180
33.3%

Length

2024-05-11T07:49:25.617096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:49:26.051056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 360
66.7%
0 180
33.3%

건축물동수
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
<NA>
338 
0
198 
1
 
4

Length

Max length4
Median length4
Mean length2.8777778
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 338
62.6%
0 198
36.7%
1 4
 
0.7%

Length

2024-05-11T07:49:26.635755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:49:27.248268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 338
62.6%
0 198
36.7%
1 4
 
0.7%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct48
Distinct (%)19.8%
Missing298
Missing (%)55.2%
Infinite0
Infinite (%)0.0%
Mean394.77921
Minimum0
Maximum43116.56
Zeros194
Zeros (%)35.9%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-05-11T07:49:27.949632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1152.108
Maximum43116.56
Range43116.56
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2910.0766
Coefficient of variation (CV)7.3714027
Kurtosis196.24143
Mean394.77921
Median Absolute Deviation (MAD)0
Skewness13.609731
Sum95536.57
Variance8468545.5
MonotonicityNot monotonic
2024-05-11T07:49:28.447749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0.0 194
35.9%
1422.18 2
 
0.4%
531.74 1
 
0.2%
193.3 1
 
0.2%
1029.46 1
 
0.2%
946.08 1
 
0.2%
385.12 1
 
0.2%
1747.01 1
 
0.2%
519.87 1
 
0.2%
688.81 1
 
0.2%
Other values (38) 38
 
7.0%
(Missing) 298
55.2%
ValueCountFrequency (%)
0.0 194
35.9%
90.35 1
 
0.2%
193.3 1
 
0.2%
199.5 1
 
0.2%
203.36 1
 
0.2%
204.36 1
 
0.2%
360.06 1
 
0.2%
385.12 1
 
0.2%
418.45 1
 
0.2%
514.36 1
 
0.2%
ValueCountFrequency (%)
43116.56 1
0.2%
13373.93 1
0.2%
1747.01 1
0.2%
1612.13 1
0.2%
1497.04 1
0.2%
1431.15 1
0.2%
1422.18 2
0.4%
1400.05 1
0.2%
1372.0 1
0.2%
1253.2 1
0.2%

회원모집총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
<NA>
529 
0
 
11

Length

Max length4
Median length4
Mean length3.9388889
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> 529
98.0%
0 11
 
2.0%

Length

2024-05-11T07:49:29.029818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:49:29.736131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 529
98.0%
0 11
 
2.0%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing540
Missing (%)100.0%
Memory size4.9 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing540
Missing (%)100.0%
Memory size4.9 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03040000CDFH33010819730000011973-01-31<NA>4취소/말소/만료/정지/중지35직권말소2023-03-30<NA><NA><NA>0201-8366<NA><NA>서울특별시 광진구 화양동 495-19서울특별시 광진구 광나루로24길 20 (화양동)5021대원당구장2023-03-30 11:16:57U2022-12-04 00:01:00.0<NA>206674.818809449246.839437<NA><NA><NA><NA><NA><NA><NA><NA><NA>
13040000CDFH330108197300000219731231<NA>3폐업3폐업20060116<NA><NA><NA>452-4401<NA>143915서울특별시 광진구 화양동 207-6번지<NA><NA>신흥당구장2006-01-16 14:11:24I2018-08-31 23:59:59.0<NA><NA><NA>당구장업사립0<NA><NA><NA><NA><NA><NA>
23040000CDFH330108198100000119810305<NA>3폐업3폐업20000529<NA><NA><NA>462-1180<NA>143915서울특별시 광진구 화양동 192-0번지서울특별시 광진구 광나루로 384 (화양동)<NA>신세계당구장2003-05-13 11:23:25I2018-08-31 23:59:59.0<NA>206328.872983449477.8737당구장업사립<NA>000.0<NA><NA><NA>
33040000CDFH330108198100000219810416<NA>3폐업3폐업19981113<NA><NA><NA>444-2845<NA>143847서울특별시 광진구 능동 222-3번지서울특별시 광진구 천호대로 572 (능동)<NA>한성당구장2003-05-13 11:23:25I2018-08-31 23:59:59.0<NA>207107.362226450416.391294당구장업사립<NA>000.0<NA><NA><NA>
43040000CDFH330108198100000319810506<NA>3폐업3폐업20060529<NA><NA><NA>491-6643<NA>143909서울특별시 광진구 중곡동 558-2번지서울특별시 광진구 면목로 195 (중곡동)<NA>나인당구장2006-05-29 09:49:22I2018-08-31 23:59:59.0<NA>207268.83451452034.440354당구장업사립0<NA><NA><NA><NA><NA><NA>
53040000CDFH330108198100000419810925<NA>3폐업3폐업20120319<NA><NA><NA>467-5641<NA>143901서울특별시 광진구 중곡동 190-28번지서울특별시 광진구 동일로72길 9 (중곡동)<NA>서울당구장2012-03-19 17:58:02I2018-08-31 23:59:59.0<NA>206840.502858451543.174223당구장업사립0<NA><NA><NA><NA><NA><NA>
63040000CDFH330108198600000119860318<NA>3폐업3폐업19991220<NA><NA><NA>453-0097<NA>143915서울특별시 광진구 화양동 111-185번지서울특별시 광진구 능동로 184 (화양동)<NA>개나리당구장2003-05-13 11:23:25I2018-08-31 23:59:59.0<NA>206485.590179449403.697854당구장업사립<NA>000.0<NA><NA><NA>
73040000CDFH330108198700000119870814<NA>1영업/정상13영업중<NA><NA><NA><NA>457-9629<NA>143130서울특별시 광진구 화양동 495-17번지 2층서울특별시 광진구 광나루로24길 14 (화양동,2층)<NA>건국당구장2009-04-21 13:57:02I2018-08-31 23:59:59.0<NA>206668.416357449268.919858당구장업사립<NA><NA>00.0<NA><NA><NA>
83040000CDFH33010819880000011988-06-15<NA>4취소/말소/만료/정지/중지35직권말소2023-03-31<NA><NA><NA>462-9776<NA><NA>서울특별시 광진구 자양동 43-3서울특별시 광진구 뚝섬로23길 10 (자양동)5080중앙당구장2023-03-31 15:58:45U2022-12-04 00:02:00.0<NA>205586.32838448285.478782<NA><NA><NA><NA><NA><NA><NA><NA><NA>
93040000CDFH330108199000000119900504<NA>3폐업3폐업20010208<NA><NA><NA>446-0588<NA>143853서울특별시 광진구 자양동 779-11번지서울특별시 광진구 자양로 113 (자양동)<NA>금메달당구장2003-05-13 11:23:25I2018-08-31 23:59:59.0<NA>207264.376374448406.975758당구장업사립<NA>000.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
5303040000CDFH330108202100000620210727<NA>1영업/정상13영업중<NA><NA><NA><NA>02-498-3331<NA><NA>서울특별시 광진구 자양동 623-3 지하1층서울특별시 광진구 자양로13길 48, 지하층 (자양동)5057행운 당구장2021-07-27 18:05:48I2021-07-29 00:22:51.0<NA>207146.632557448012.746941당구장업사립<NA>000.00<NA><NA>
5313040000CDFH33010820210000072021-11-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 162-1 지층서울특별시 광진구 능동로 351, 지층 (중곡동)4915짱당구장2024-03-27 14:34:32U2023-12-02 22:09:00.0<NA>207114.406979450968.166498<NA><NA><NA><NA><NA><NA><NA><NA><NA>
5323040000CDFH330108202200000120220812<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 화양동 111-161서울특별시 광진구 능동로19길 36, 2층 (화양동)5009369당구클럽2022-08-12 08:50:58I2021-12-07 23:04:00.0<NA>206276.769586449466.36074<NA><NA><NA><NA><NA><NA><NA><NA><NA>
5333040000CDFH330108202200000220221014<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 252-14 성지하이츠서울특별시 광진구 자양로 126, 성지하이츠 지하1층 (구의동)5043블루닷 빌리어즈2022-10-14 16:45:29I2021-10-30 23:06:00.0<NA>207325.576921448526.049057<NA><NA><NA><NA><NA><NA><NA><NA><NA>
5343040000CDFH330108202300000120230106<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 252-77서울특별시 광진구 아차산로51길 39, 3층 (구의동)5043프로당구장2023-01-06 16:10:41I2022-12-01 00:08:00.0<NA>207421.130315448507.245598<NA><NA><NA><NA><NA><NA><NA><NA><NA>
5353040000CDFH33010820230000022023-05-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 화양동 9-43서울특별시 광진구 아차산로29길 28, 지층 (화양동)5018원당구장2023-05-19 08:58:26I2022-12-04 22:01:00.0<NA>206012.224061448874.856581<NA><NA><NA><NA><NA><NA><NA><NA><NA>
5363040000CDFH33010820230000032023-06-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 257-122서울특별시 광진구 자양로18길 53, 3층 (구의동)5042풀 POOL 당구장2023-06-13 14:10:12I2022-12-05 23:05:00.0<NA>207564.588699448441.781875<NA><NA><NA><NA><NA><NA><NA><NA><NA>
5373040000CDFH33010820230000042023-08-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 6-58서울특별시 광진구 아차산로30길 31, 3층 (자양동)5073돈마니2023-08-16 09:06:32I2022-12-07 23:08:00.0<NA>205884.40104448577.363439<NA><NA><NA><NA><NA><NA><NA><NA><NA>
5383040000CDFH33010820240000012024-01-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 10-20서울특별시 광진구 동일로18길 53, 지층 (자양동)5072OPPA BILLARD CLUB2024-01-29 09:02:12I2023-11-30 21:01:00.0<NA>205755.091525448562.202435<NA><NA><NA><NA><NA><NA><NA><NA><NA>
5393040000CDFH33010820240000022024-03-05<NA>1영업/정상13영업중<NA><NA><NA><NA>02-457-6317<NA><NA>서울특별시 광진구 중곡동 79-9서울특별시 광진구 용마산로 46, 3층 (중곡동)4949세븐 당구장2024-03-05 10:20:53I2023-12-03 00:07:00.0<NA>207728.881212450600.779787<NA><NA><NA><NA><NA><NA><NA><NA><NA>