Overview

Dataset statistics

Number of variables34
Number of observations782
Missing cells6426
Missing cells (%)24.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory222.4 KiB
Average record size in memory291.2 B

Variable types

Categorical14
Text6
DateTime4
Unsupported6
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
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-19650/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (98.6%)Imbalance
휴업종료일자 is highly imbalanced (98.6%)Imbalance
문화체육업종명 is highly imbalanced (70.3%)Imbalance
공사립구분명 is highly imbalanced (70.3%)Imbalance
회원모집총인원 is highly imbalanced (94.4%)Imbalance
인허가취소일자 has 782 (100.0%) missing valuesMissing
폐업일자 has 131 (16.8%) missing valuesMissing
재개업일자 has 782 (100.0%) missing valuesMissing
전화번호 has 543 (69.4%) missing valuesMissing
소재지면적 has 782 (100.0%) missing valuesMissing
소재지우편번호 has 187 (23.9%) missing valuesMissing
지번주소 has 8 (1.0%) missing valuesMissing
도로명주소 has 16 (2.0%) missing valuesMissing
도로명우편번호 has 512 (65.5%) missing valuesMissing
업태구분명 has 782 (100.0%) missing valuesMissing
좌표정보(X) has 14 (1.8%) missing valuesMissing
좌표정보(Y) has 14 (1.8%) missing valuesMissing
건축물연면적 has 309 (39.5%) missing valuesMissing
세부업종명 has 782 (100.0%) missing valuesMissing
법인명 has 782 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 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 279 (35.7%) zerosZeros

Reproduction

Analysis started2024-05-11 06:16:21.447774
Analysis finished2024-05-11 06:16:22.679704
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
3230000
782 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 782
100.0%

Length

2024-05-11T15:16:22.792393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:16:22.956034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 782
100.0%

관리번호
Text

UNIQUE 

Distinct782
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2024-05-11T15:16:23.276136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters15640
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

Unique782 ?
Unique (%)100.0%

Sample

1st rowCDFH3301081981000001
2nd rowCDFH3301081981000002
3rd rowCDFH3301081982000001
4th rowCDFH3301081982000002
5th rowCDFH3301081983000001
ValueCountFrequency (%)
cdfh3301081981000001 1
 
0.1%
cdfh3301082005000007 1
 
0.1%
cdfh3301082004000005 1
 
0.1%
cdfh3301082004000017 1
 
0.1%
cdfh3301082004000006 1
 
0.1%
cdfh3301082004000008 1
 
0.1%
cdfh3301082004000010 1
 
0.1%
cdfh3301082004000011 1
 
0.1%
cdfh3301082004000012 1
 
0.1%
cdfh3301082004000013 1
 
0.1%
Other values (772) 772
98.7%
2024-05-11T15:16:24.071063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5830
37.3%
3 1805
 
11.5%
1 1622
 
10.4%
8 999
 
6.4%
9 846
 
5.4%
C 782
 
5.0%
D 782
 
5.0%
F 782
 
5.0%
H 782
 
5.0%
2 755
 
4.8%
Other values (4) 655
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12512
80.0%
Uppercase Letter 3128
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5830
46.6%
3 1805
 
14.4%
1 1622
 
13.0%
8 999
 
8.0%
9 846
 
6.8%
2 755
 
6.0%
4 203
 
1.6%
6 155
 
1.2%
5 151
 
1.2%
7 146
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
C 782
25.0%
D 782
25.0%
F 782
25.0%
H 782
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12512
80.0%
Latin 3128
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5830
46.6%
3 1805
 
14.4%
1 1622
 
13.0%
8 999
 
8.0%
9 846
 
6.8%
2 755
 
6.0%
4 203
 
1.6%
6 155
 
1.2%
5 151
 
1.2%
7 146
 
1.2%
Latin
ValueCountFrequency (%)
C 782
25.0%
D 782
25.0%
F 782
25.0%
H 782
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15640
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5830
37.3%
3 1805
 
11.5%
1 1622
 
10.4%
8 999
 
6.4%
9 846
 
5.4%
C 782
 
5.0%
D 782
 
5.0%
F 782
 
5.0%
H 782
 
5.0%
2 755
 
4.8%
Other values (4) 655
 
4.2%

인허가일자
Date

Distinct668
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
Minimum1981-03-11 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T15:16:24.361348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:16:24.710661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing782
Missing (%)100.0%
Memory size7.0 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
3
589 
1
130 
4
62 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
3 589
75.3%
1 130
 
16.6%
4 62
 
7.9%
2 1
 
0.1%

Length

2024-05-11T15:16:24.989230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:16:25.210726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 589
75.3%
1 130
 
16.6%
4 62
 
7.9%
2 1
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
폐업
589 
영업/정상
130 
취소/말소/만료/정지/중지
62 
휴업
 
1

Length

Max length14
Median length2
Mean length3.4501279
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 589
75.3%
영업/정상 130
 
16.6%
취소/말소/만료/정지/중지 62
 
7.9%
휴업 1
 
0.1%

Length

2024-05-11T15:16:25.486058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:16:25.791809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 589
75.3%
영업/정상 130
 
16.6%
취소/말소/만료/정지/중지 62
 
7.9%
휴업 1
 
0.1%

상세영업상태코드
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
3
589 
13
130 
35
62 
2
 
1

Length

Max length2
Median length1
Mean length1.2455243
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
3 589
75.3%
13 130
 
16.6%
35 62
 
7.9%
2 1
 
0.1%

Length

2024-05-11T15:16:26.063750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:16:26.291300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 589
75.3%
13 130
 
16.6%
35 62
 
7.9%
2 1
 
0.1%

상세영업상태명
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
폐업
589 
영업중
130 
직권말소
62 
휴업
 
1

Length

Max length4
Median length2
Mean length2.3248082
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 589
75.3%
영업중 130
 
16.6%
직권말소 62
 
7.9%
휴업 1
 
0.1%

Length

2024-05-11T15:16:26.562472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:16:26.804730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 589
75.3%
영업중 130
 
16.6%
직권말소 62
 
7.9%
휴업 1
 
0.1%

폐업일자
Date

MISSING 

Distinct423
Distinct (%)65.0%
Missing131
Missing (%)16.8%
Memory size6.2 KiB
Minimum1996-06-03 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T15:16:27.053722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:16:27.322666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
781 
20211125
 
1

Length

Max length8
Median length4
Mean length4.0051151
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 781
99.9%
20211125 1
 
0.1%

Length

2024-05-11T15:16:27.588751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:16:27.846846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 781
99.9%
20211125 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
781 
20231125
 
1

Length

Max length8
Median length4
Mean length4.0051151
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 781
99.9%
20231125 1
 
0.1%

Length

2024-05-11T15:16:28.076200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:16:28.371840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 781
99.9%
20231125 1
 
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing782
Missing (%)100.0%
Memory size7.0 KiB

전화번호
Text

MISSING 

Distinct231
Distinct (%)96.7%
Missing543
Missing (%)69.4%
Memory size6.2 KiB
2024-05-11T15:16:28.881123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.460251
Min length7

Characters and Unicode

Total characters2022
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

Unique224 ?
Unique (%)93.7%

Sample

1st row415-8358
2nd row403-8614
3rd row413-0862
4th row403-2686
5th row422-1683
ValueCountFrequency (%)
421-8843 3
 
1.3%
407-0209 2
 
0.8%
413-5308 2
 
0.8%
423-2152 2
 
0.8%
431-3949 2
 
0.8%
3432-0979 2
 
0.8%
414-8786 2
 
0.8%
401-3407 1
 
0.4%
424-4424 1
 
0.4%
02-422-5877 1
 
0.4%
Other values (221) 221
92.5%
2024-05-11T15:16:29.748811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 359
17.8%
- 260
12.9%
0 254
12.6%
2 226
11.2%
3 183
9.1%
1 171
8.5%
9 147
7.3%
7 113
 
5.6%
6 109
 
5.4%
8 101
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1762
87.1%
Dash Punctuation 260
 
12.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 359
20.4%
0 254
14.4%
2 226
12.8%
3 183
10.4%
1 171
9.7%
9 147
8.3%
7 113
 
6.4%
6 109
 
6.2%
8 101
 
5.7%
5 99
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 260
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2022
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 359
17.8%
- 260
12.9%
0 254
12.6%
2 226
11.2%
3 183
9.1%
1 171
8.5%
9 147
7.3%
7 113
 
5.6%
6 109
 
5.4%
8 101
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2022
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 359
17.8%
- 260
12.9%
0 254
12.6%
2 226
11.2%
3 183
9.1%
1 171
8.5%
9 147
7.3%
7 113
 
5.6%
6 109
 
5.4%
8 101
 
5.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing782
Missing (%)100.0%
Memory size7.0 KiB

소재지우편번호
Text

MISSING 

Distinct84
Distinct (%)14.1%
Missing187
Missing (%)23.9%
Memory size6.2 KiB
2024-05-11T15:16:30.305959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.005042
Min length6

Characters and Unicode

Total characters3573
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

Unique14 ?
Unique (%)2.4%

Sample

1st row138821
2nd row138240
3rd row138862
4th row138820
5th row138839
ValueCountFrequency (%)
138861 45
 
7.6%
138862 34
 
5.7%
138837 19
 
3.2%
138830 18
 
3.0%
138200 18
 
3.0%
138864 17
 
2.9%
138846 16
 
2.7%
138847 14
 
2.4%
138813 14
 
2.4%
138800 13
 
2.2%
Other values (74) 387
65.0%
2024-05-11T15:16:31.083730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 1194
33.4%
1 766
21.4%
3 709
19.8%
0 190
 
5.3%
2 173
 
4.8%
4 158
 
4.4%
6 152
 
4.3%
5 105
 
2.9%
7 79
 
2.2%
9 44
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3570
99.9%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 1194
33.4%
1 766
21.5%
3 709
19.9%
0 190
 
5.3%
2 173
 
4.8%
4 158
 
4.4%
6 152
 
4.3%
5 105
 
2.9%
7 79
 
2.2%
9 44
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3573
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 1194
33.4%
1 766
21.4%
3 709
19.8%
0 190
 
5.3%
2 173
 
4.8%
4 158
 
4.4%
6 152
 
4.3%
5 105
 
2.9%
7 79
 
2.2%
9 44
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3573
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 1194
33.4%
1 766
21.4%
3 709
19.8%
0 190
 
5.3%
2 173
 
4.8%
4 158
 
4.4%
6 152
 
4.3%
5 105
 
2.9%
7 79
 
2.2%
9 44
 
1.2%

지번주소
Text

MISSING 

Distinct733
Distinct (%)94.7%
Missing8
Missing (%)1.0%
Memory size6.2 KiB
2024-05-11T15:16:31.653805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length41
Mean length23.392765
Min length16

Characters and Unicode

Total characters18106
Distinct characters128
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

Unique695 ?
Unique (%)89.8%

Sample

1st row서울특별시 송파구 마천동 308-31번지
2nd row서울특별시 송파구 신천동 7-8번지 장미상가B
3rd row서울특별시 송파구 잠실동 205-4번지
4th row서울특별시 송파구 마천동 185-3번지
5th row서울특별시 송파구 삼전동 101-10번지
ValueCountFrequency (%)
서울특별시 774
22.4%
송파구 774
22.4%
잠실동 125
 
3.6%
가락동 119
 
3.4%
방이동 113
 
3.3%
지하1층 104
 
3.0%
석촌동 75
 
2.2%
2층 59
 
1.7%
마천동 58
 
1.7%
삼전동 56
 
1.6%
Other values (729) 1203
34.8%
2024-05-11T15:16:33.077604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3415
18.9%
1 863
 
4.8%
파 832
 
4.6%
송 830
 
4.6%
지 829
 
4.6%
동 795
 
4.4%
시 779
 
4.3%
울 774
 
4.3%
서 774
 
4.3%
구 774
 
4.3%
Other values (118) 7441
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10697
59.1%
Space Separator 3415
 
18.9%
Decimal Number 3266
 
18.0%
Dash Punctuation 691
 
3.8%
Other Punctuation 13
 
0.1%
Uppercase Letter 9
 
< 0.1%
Close Punctuation 7
 
< 0.1%
Open Punctuation 7
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 832
 
7.8%
송 830
 
7.8%
지 829
 
7.7%
동 795
 
7.4%
시 779
 
7.3%
울 774
 
7.2%
서 774
 
7.2%
구 774
 
7.2%
별 774
 
7.2%
특 774
 
7.2%
Other values (97) 2762
25.8%
Decimal Number
ValueCountFrequency (%)
1 863
26.4%
2 492
15.1%
3 336
 
10.3%
0 256
 
7.8%
4 246
 
7.5%
7 238
 
7.3%
5 225
 
6.9%
8 222
 
6.8%
9 207
 
6.3%
6 181
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
B 4
44.4%
I 2
22.2%
T 2
22.2%
D 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
, 12
92.3%
/ 1
 
7.7%
Space Separator
ValueCountFrequency (%)
3415
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 691
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10697
59.1%
Common 7399
40.9%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 832
 
7.8%
송 830
 
7.8%
지 829
 
7.7%
동 795
 
7.4%
시 779
 
7.3%
울 774
 
7.2%
서 774
 
7.2%
구 774
 
7.2%
별 774
 
7.2%
특 774
 
7.2%
Other values (97) 2762
25.8%
Common
ValueCountFrequency (%)
3415
46.2%
1 863
 
11.7%
- 691
 
9.3%
2 492
 
6.6%
3 336
 
4.5%
0 256
 
3.5%
4 246
 
3.3%
7 238
 
3.2%
5 225
 
3.0%
8 222
 
3.0%
Other values (6) 415
 
5.6%
Latin
ValueCountFrequency (%)
B 4
40.0%
I 2
20.0%
T 2
20.0%
D 1
 
10.0%
c 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10697
59.1%
ASCII 7409
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3415
46.1%
1 863
 
11.6%
- 691
 
9.3%
2 492
 
6.6%
3 336
 
4.5%
0 256
 
3.5%
4 246
 
3.3%
7 238
 
3.2%
5 225
 
3.0%
8 222
 
3.0%
Other values (11) 425
 
5.7%
Hangul
ValueCountFrequency (%)
파 832
 
7.8%
송 830
 
7.8%
지 829
 
7.7%
동 795
 
7.4%
시 779
 
7.3%
울 774
 
7.2%
서 774
 
7.2%
구 774
 
7.2%
별 774
 
7.2%
특 774
 
7.2%
Other values (97) 2762
25.8%

도로명주소
Text

MISSING 

Distinct738
Distinct (%)96.3%
Missing16
Missing (%)2.0%
Memory size6.2 KiB
2024-05-11T15:16:33.596831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length47
Mean length27.98564
Min length21

Characters and Unicode

Total characters21437
Distinct characters214
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique712 ?
Unique (%)93.0%

Sample

1st row서울특별시 송파구 마천로 349 (마천동)
2nd row서울특별시 송파구 올림픽로12길 29 (잠실동)
3rd row서울특별시 송파구 마천로51길 28 (마천동)
4th row서울특별시 송파구 백제고분로 243 (삼전동)
5th row서울특별시 송파구 송파대로 365 (석촌동)
ValueCountFrequency (%)
서울특별시 766
 
18.7%
송파구 766
 
18.7%
잠실동 107
 
2.6%
가락동 102
 
2.5%
방이동 97
 
2.4%
석촌동 59
 
1.4%
마천동 51
 
1.2%
송파동 49
 
1.2%
문정동 49
 
1.2%
가락로 48
 
1.2%
Other values (647) 2004
48.9%
2024-05-11T15:16:34.382691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3817
 
17.8%
송 894
 
4.2%
파 871
 
4.1%
동 826
 
3.9%
시 772
 
3.6%
) 771
 
3.6%
( 771
 
3.6%
울 767
 
3.6%
서 767
 
3.6%
구 766
 
3.6%
Other values (204) 10415
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12833
59.9%
Space Separator 3817
 
17.8%
Decimal Number 2799
 
13.1%
Close Punctuation 771
 
3.6%
Open Punctuation 771
 
3.6%
Other Punctuation 346
 
1.6%
Dash Punctuation 71
 
0.3%
Uppercase Letter 26
 
0.1%
Math Symbol 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
송 894
 
7.0%
파 871
 
6.8%
동 826
 
6.4%
시 772
 
6.0%
울 767
 
6.0%
서 767
 
6.0%
구 766
 
6.0%
별 766
 
6.0%
특 766
 
6.0%
로 762
 
5.9%
Other values (172) 4876
38.0%
Uppercase Letter
ValueCountFrequency (%)
B 8
30.8%
E 3
 
11.5%
I 2
 
7.7%
T 2
 
7.7%
O 2
 
7.7%
D 1
 
3.8%
C 1
 
3.8%
U 1
 
3.8%
S 1
 
3.8%
H 1
 
3.8%
Other values (4) 4
15.4%
Decimal Number
ValueCountFrequency (%)
1 615
22.0%
2 473
16.9%
3 367
13.1%
4 317
11.3%
8 195
 
7.0%
6 195
 
7.0%
5 181
 
6.5%
7 168
 
6.0%
0 147
 
5.3%
9 141
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 345
99.7%
/ 1
 
0.3%
Space Separator
ValueCountFrequency (%)
3817
100.0%
Close Punctuation
ValueCountFrequency (%)
) 771
100.0%
Open Punctuation
ValueCountFrequency (%)
( 771
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 71
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12833
59.9%
Common 8577
40.0%
Latin 27
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
송 894
 
7.0%
파 871
 
6.8%
동 826
 
6.4%
시 772
 
6.0%
울 767
 
6.0%
서 767
 
6.0%
구 766
 
6.0%
별 766
 
6.0%
특 766
 
6.0%
로 762
 
5.9%
Other values (172) 4876
38.0%
Common
ValueCountFrequency (%)
3817
44.5%
) 771
 
9.0%
( 771
 
9.0%
1 615
 
7.2%
2 473
 
5.5%
3 367
 
4.3%
, 345
 
4.0%
4 317
 
3.7%
8 195
 
2.3%
6 195
 
2.3%
Other values (7) 711
 
8.3%
Latin
ValueCountFrequency (%)
B 8
29.6%
E 3
 
11.1%
I 2
 
7.4%
T 2
 
7.4%
O 2
 
7.4%
D 1
 
3.7%
C 1
 
3.7%
U 1
 
3.7%
c 1
 
3.7%
S 1
 
3.7%
Other values (5) 5
18.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12833
59.9%
ASCII 8604
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3817
44.4%
) 771
 
9.0%
( 771
 
9.0%
1 615
 
7.1%
2 473
 
5.5%
3 367
 
4.3%
, 345
 
4.0%
4 317
 
3.7%
8 195
 
2.3%
6 195
 
2.3%
Other values (22) 738
 
8.6%
Hangul
ValueCountFrequency (%)
송 894
 
7.0%
파 871
 
6.8%
동 826
 
6.4%
시 772
 
6.0%
울 767
 
6.0%
서 767
 
6.0%
구 766
 
6.0%
별 766
 
6.0%
특 766
 
6.0%
로 762
 
5.9%
Other values (172) 4876
38.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct150
Distinct (%)55.6%
Missing512
Missing (%)65.5%
Infinite0
Infinite (%)0.0%
Mean14542.733
Minimum5504
Maximum138866
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2024-05-11T15:16:34.598506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5504
5-th percentile5542
Q15585
median5685
Q35757.75
95-th percentile138806
Maximum138866
Range133362
Interquartile range (IQR)172.75

Descriptive statistics

Standard deviation33269.139
Coefficient of variation (CV)2.2876813
Kurtosis10.28289
Mean14542.733
Median Absolute Deviation (MAD)83.5
Skewness3.4937987
Sum3926538
Variance1.1068356 × 109
MonotonicityNot monotonic
2024-05-11T15:16:34.884276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5713 6
 
0.8%
5639 5
 
0.6%
5744 5
 
0.6%
5548 5
 
0.6%
5557 5
 
0.6%
5768 5
 
0.6%
5756 5
 
0.6%
5547 4
 
0.5%
5626 4
 
0.5%
5667 4
 
0.5%
Other values (140) 222
28.4%
(Missing) 512
65.5%
ValueCountFrequency (%)
5504 1
 
0.1%
5507 1
 
0.1%
5510 4
0.5%
5511 1
 
0.1%
5517 1
 
0.1%
5522 1
 
0.1%
5527 1
 
0.1%
5536 1
 
0.1%
5537 2
0.3%
5542 3
0.4%
ValueCountFrequency (%)
138866 1
0.1%
138864 2
0.3%
138862 1
0.1%
138861 1
0.1%
138859 1
0.1%
138857 1
0.1%
138848 1
0.1%
138821 1
0.1%
138818 1
0.1%
138813 1
0.1%

사업장명
Text

Distinct597
Distinct (%)76.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2024-05-11T15:16:35.385564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length30
Mean length5.6112532
Min length1

Characters and Unicode

Total characters4388
Distinct characters386
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique493 ?
Unique (%)63.0%

Sample

1st row맨
2nd row미주
3rd row체스당구장
4th row한성
5th row돌마리
ValueCountFrequency (%)
당구장 55
 
6.1%
당구클럽 22
 
2.4%
스포츠당구장 9
 
1.0%
킹당구장 7
 
0.8%
현대 7
 
0.8%
황제당구장 6
 
0.7%
큐당구장 6
 
0.7%
월드당구장 6
 
0.7%
스포츠 6
 
0.7%
폐업 5
 
0.6%
Other values (597) 772
85.7%
2024-05-11T15:16:36.117347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 615
 
14.0%
당 602
 
13.7%
장 483
 
11.0%
122
 
2.8%
럽 108
 
2.5%
클 106
 
2.4%
스 89
 
2.0%
0 87
 
2.0%
이 57
 
1.3%
리 50
 
1.1%
Other values (376) 2069
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3759
85.7%
Decimal Number 239
 
5.4%
Uppercase Letter 127
 
2.9%
Space Separator 122
 
2.8%
Other Punctuation 46
 
1.0%
Lowercase Letter 39
 
0.9%
Close Punctuation 22
 
0.5%
Open Punctuation 22
 
0.5%
Dash Punctuation 11
 
0.3%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 615
 
16.4%
당 602
 
16.0%
장 483
 
12.8%
럽 108
 
2.9%
클 106
 
2.8%
스 89
 
2.4%
이 57
 
1.5%
리 50
 
1.3%
아 41
 
1.1%
드 40
 
1.1%
Other values (319) 1568
41.7%
Uppercase Letter
ValueCountFrequency (%)
S 21
16.5%
B 19
15.0%
J 11
8.7%
K 9
 
7.1%
A 8
 
6.3%
C 8
 
6.3%
I 7
 
5.5%
O 7
 
5.5%
P 5
 
3.9%
V 5
 
3.9%
Other values (12) 27
21.3%
Lowercase Letter
ValueCountFrequency (%)
l 6
15.4%
i 6
15.4%
s 5
12.8%
a 4
10.3%
b 3
7.7%
r 3
7.7%
n 2
 
5.1%
d 2
 
5.1%
u 2
 
5.1%
p 1
 
2.6%
Other values (5) 5
12.8%
Decimal Number
ValueCountFrequency (%)
0 87
36.4%
2 50
20.9%
1 39
16.3%
4 19
 
7.9%
8 14
 
5.9%
3 9
 
3.8%
5 7
 
2.9%
9 7
 
2.9%
6 6
 
2.5%
7 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
. 37
80.4%
: 4
 
8.7%
, 2
 
4.3%
& 2
 
4.3%
' 1
 
2.2%
Space Separator
ValueCountFrequency (%)
122
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3758
85.6%
Common 463
 
10.6%
Latin 166
 
3.8%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 615
 
16.4%
당 602
 
16.0%
장 483
 
12.9%
럽 108
 
2.9%
클 106
 
2.8%
스 89
 
2.4%
이 57
 
1.5%
리 50
 
1.3%
아 41
 
1.1%
드 40
 
1.1%
Other values (318) 1567
41.7%
Latin
ValueCountFrequency (%)
S 21
 
12.7%
B 19
 
11.4%
J 11
 
6.6%
K 9
 
5.4%
A 8
 
4.8%
C 8
 
4.8%
I 7
 
4.2%
O 7
 
4.2%
l 6
 
3.6%
i 6
 
3.6%
Other values (27) 64
38.6%
Common
ValueCountFrequency (%)
122
26.3%
0 87
18.8%
2 50
10.8%
1 39
 
8.4%
. 37
 
8.0%
) 22
 
4.8%
( 22
 
4.8%
4 19
 
4.1%
8 14
 
3.0%
- 11
 
2.4%
Other values (10) 40
 
8.6%
Han
ValueCountFrequency (%)
休 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3758
85.6%
ASCII 629
 
14.3%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 615
 
16.4%
당 602
 
16.0%
장 483
 
12.9%
럽 108
 
2.9%
클 106
 
2.8%
스 89
 
2.4%
이 57
 
1.5%
리 50
 
1.3%
아 41
 
1.1%
드 40
 
1.1%
Other values (318) 1567
41.7%
ASCII
ValueCountFrequency (%)
122
19.4%
0 87
13.8%
2 50
 
7.9%
1 39
 
6.2%
. 37
 
5.9%
) 22
 
3.5%
( 22
 
3.5%
S 21
 
3.3%
4 19
 
3.0%
B 19
 
3.0%
Other values (47) 191
30.4%
CJK
ValueCountFrequency (%)
休 1
100.0%

최종수정일자
Date

Distinct512
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
Minimum2003-02-17 15:15:04
Maximum2024-05-09 14:36:12
2024-05-11T15:16:36.373166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:16:36.610849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
I
658 
U
124 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 658
84.1%
U 124
 
15.9%

Length

2024-05-11T15:16:36.795730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:16:36.937822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 658
84.1%
u 124
 
15.9%

데이터갱신일자
Date

Distinct105
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 23:01:00
2024-05-11T15:16:37.130622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:16:37.395285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing782
Missing (%)100.0%
Memory size7.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct618
Distinct (%)80.5%
Missing14
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean210038.13
Minimum206900.85
Maximum213822.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2024-05-11T15:16:37.675331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206900.85
5-th percentile207165.24
Q1208676.12
median210124.86
Q3211047.18
95-th percentile213134.34
Maximum213822.1
Range6921.257
Interquartile range (IQR)2371.0553

Descriptive statistics

Standard deviation1800.4251
Coefficient of variation (CV)0.0085718963
Kurtosis-0.77011091
Mean210038.13
Median Absolute Deviation (MAD)1085.2209
Skewness0.073096524
Sum1.6130928 × 108
Variance3241530.5
MonotonicityNot monotonic
2024-05-11T15:16:37.932219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
213020.82186765 4
 
0.5%
208994.017991356 4
 
0.5%
212852.620762184 4
 
0.5%
209541.418807954 3
 
0.4%
210971.160875228 3
 
0.4%
213148.581914117 3
 
0.4%
207591.935792101 3
 
0.4%
213730.091657966 3
 
0.4%
211845.892958695 3
 
0.4%
209604.550666305 3
 
0.4%
Other values (608) 735
94.0%
(Missing) 14
 
1.8%
ValueCountFrequency (%)
206900.84547168 1
0.1%
206949.842815831 2
0.3%
206955.954038363 1
0.1%
206958.784771636 1
0.1%
206964.414977305 1
0.1%
206964.839324643 1
0.1%
206973.101763383 2
0.3%
206976.512126715 1
0.1%
206985.109463517 1
0.1%
207022.590545895 1
0.1%
ValueCountFrequency (%)
213822.102456233 2
0.3%
213730.091657966 3
0.4%
213670.182852289 1
 
0.1%
213579.184720291 1
 
0.1%
213538.573077166 1
 
0.1%
213511.914000923 1
 
0.1%
213498.373482625 2
0.3%
213489.673115375 1
 
0.1%
213472.400666424 3
0.4%
213470.599530867 2
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct618
Distinct (%)80.5%
Missing14
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean444630.2
Minimum441609.52
Maximum448421.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2024-05-11T15:16:38.213980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441609.52
5-th percentile442938.92
Q1443899.27
median444641.77
Q3445327.73
95-th percentile445920.19
Maximum448421.85
Range6812.3322
Interquartile range (IQR)1428.457

Descriptive statistics

Standard deviation1065.6054
Coefficient of variation (CV)0.0023966104
Kurtosis1.5018519
Mean444630.2
Median Absolute Deviation (MAD)720.02419
Skewness0.48680612
Sum3.4147599 × 108
Variance1135514.8
MonotonicityNot monotonic
2024-05-11T15:16:38.475051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
443891.388218081 4
 
0.5%
445826.545566831 4
 
0.5%
443990.574678948 4
 
0.5%
444357.068661528 3
 
0.4%
445326.924338642 3
 
0.4%
443911.486816811 3
 
0.4%
445173.382920733 3
 
0.4%
443378.360014791 3
 
0.4%
444710.435411245 3
 
0.4%
445743.312435282 3
 
0.4%
Other values (608) 735
94.0%
(Missing) 14
 
1.8%
ValueCountFrequency (%)
441609.522612664 1
0.1%
441730.920486073 1
0.1%
442033.492856368 2
0.3%
442070.575741668 1
0.1%
442186.551620522 1
0.1%
442258.079228654 1
0.1%
442289.5 2
0.3%
442328.447083979 1
0.1%
442367.024660277 1
0.1%
442373.802454114 1
0.1%
ValueCountFrequency (%)
448421.854775893 1
0.1%
448390.692594117 1
0.1%
448375.334172357 1
0.1%
448356.357871225 2
0.3%
448347.056231026 1
0.1%
448333.220806094 2
0.3%
448088.481626493 1
0.1%
448055.090772967 1
0.1%
448046.837545685 1
0.1%
447977.810390237 1
0.1%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
당구장업
741 
<NA>
 
41

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 741
94.8%
<NA> 41
 
5.2%

Length

2024-05-11T15:16:38.695119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:16:38.857237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 741
94.8%
na 41
 
5.2%

공사립구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
사립
741 
<NA>
 
41

Length

Max length4
Median length2
Mean length2.1048593
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 741
94.8%
<NA> 41
 
5.2%

Length

2024-05-11T15:16:39.081754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:16:39.298774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 741
94.8%
na 41
 
5.2%

보험가입여부코드
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
577 
0
205 

Length

Max length4
Median length4
Mean length3.213555
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 577
73.8%
0 205
 
26.2%

Length

2024-05-11T15:16:39.523512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:16:39.749518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 577
73.8%
0 205
 
26.2%

지도자수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
502 
0
280 

Length

Max length4
Median length4
Mean length2.9258312
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 502
64.2%
0 280
35.8%

Length

2024-05-11T15:16:39.971061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:16:40.164997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 502
64.2%
0 280
35.8%

건축물동수
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
491 
0
290 
1
 
1

Length

Max length4
Median length4
Mean length2.8836317
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 491
62.8%
0 290
37.1%
1 1
 
0.1%

Length

2024-05-11T15:16:40.343034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:16:40.536004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 491
62.8%
0 290
37.1%
1 1
 
0.1%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct189
Distinct (%)40.0%
Missing309
Missing (%)39.5%
Infinite0
Infinite (%)0.0%
Mean1782.4347
Minimum0
Maximum119537.75
Zeros279
Zeros (%)35.7%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2024-05-11T15:16:40.757303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3801.36
95-th percentile2957.396
Maximum119537.75
Range119537.75
Interquartile range (IQR)801.36

Descriptive statistics

Standard deviation9708.9791
Coefficient of variation (CV)5.4470321
Kurtosis79.634169
Mean1782.4347
Median Absolute Deviation (MAD)0
Skewness8.5567406
Sum843091.62
Variance94264276
MonotonicityNot monotonic
2024-05-11T15:16:41.075908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 279
35.7%
68636.41 3
 
0.4%
464.64 2
 
0.3%
15483.5 2
 
0.3%
1047.02 2
 
0.3%
1011.2 2
 
0.3%
1626.59 1
 
0.1%
6976.72 1
 
0.1%
1158.86 1
 
0.1%
659.31 1
 
0.1%
Other values (179) 179
22.9%
(Missing) 309
39.5%
ValueCountFrequency (%)
0.0 279
35.7%
85.1 1
 
0.1%
96.2 1
 
0.1%
98.34 1
 
0.1%
98.42 1
 
0.1%
102.92 1
 
0.1%
104.22 1
 
0.1%
105.82 1
 
0.1%
106.07 1
 
0.1%
109.78 1
 
0.1%
ValueCountFrequency (%)
119537.75 1
 
0.1%
85402.94 1
 
0.1%
80629.46 1
 
0.1%
68636.41 3
0.4%
39849.1 1
 
0.1%
25165.67 1
 
0.1%
15483.5 2
0.3%
14743.34 1
 
0.1%
13448.03 1
 
0.1%
9996.34 1
 
0.1%

회원모집총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
<NA>
777 
0
 
5

Length

Max length4
Median length4
Mean length3.9808184
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> 777
99.4%
0 5
 
0.6%

Length

2024-05-11T15:16:41.305231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:16:41.480605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 777
99.4%
0 5
 
0.6%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing782
Missing (%)100.0%
Memory size7.0 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing782
Missing (%)100.0%
Memory size7.0 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03230000CDFH330108198100000119810311<NA>3폐업3폐업19991004<NA><NA><NA><NA><NA>138821서울특별시 송파구 마천동 308-31번지서울특별시 송파구 마천로 349 (마천동)<NA>맨2003-02-17 15:15:04I2018-08-31 23:59:59.0<NA>213468.096259443412.865756당구장업사립<NA>000.0<NA><NA><NA>
13230000CDFH330108198100000219810420<NA>3폐업3폐업19991201<NA><NA><NA><NA><NA>138240서울특별시 송파구 신천동 7-8번지 장미상가B<NA><NA>미주2003-02-17 15:15:04I2018-08-31 23:59:59.0<NA><NA><NA>당구장업사립<NA>000.0<NA><NA><NA>
23230000CDFH330108198200000119821018<NA>3폐업3폐업19990609<NA><NA><NA><NA><NA>138862서울특별시 송파구 잠실동 205-4번지서울특별시 송파구 올림픽로12길 29 (잠실동)<NA>체스당구장2003-02-17 15:15:04I2018-08-31 23:59:59.0<NA>207312.510721445204.897962당구장업사립<NA>000.0<NA><NA><NA>
33230000CDFH330108198200000219821230<NA>3폐업3폐업20001223<NA><NA><NA><NA><NA>138820서울특별시 송파구 마천동 185-3번지서울특별시 송파구 마천로51길 28 (마천동)<NA>한성2003-02-17 15:15:04I2018-08-31 23:59:59.0<NA>213422.892377443866.100849당구장업사립<NA>000.0<NA><NA><NA>
43230000CDFH330108198300000119830427<NA>3폐업3폐업19961211<NA><NA><NA>415-8358<NA>138839서울특별시 송파구 삼전동 101-10번지서울특별시 송파구 백제고분로 243 (삼전동)<NA>돌마리2003-12-19 14:36:00I2018-08-31 23:59:59.0<NA>208216.655492444536.271852당구장업사립0<NA><NA><NA><NA><NA><NA>
53230000CDFH330108198300000219830620<NA>3폐업3폐업19961227<NA><NA><NA><NA><NA>138847서울특별시 송파구 석촌동 296-17번지서울특별시 송파구 송파대로 365 (석촌동)<NA>제일당구장2003-02-17 15:15:04I2018-08-31 23:59:59.0<NA>209751.9855444250.6205당구장업사립<NA>000.0<NA><NA><NA>
63230000CDFH330108198300000319830622<NA>3폐업3폐업19980202<NA><NA><NA><NA><NA>138854서울특별시 송파구 송파동 150-1번지서울특별시 송파구 가락로28길 5 (송파동)<NA>한양당구장2003-02-17 15:15:04I2018-08-31 23:59:59.0<NA>210237.908302444927.421666당구장업사립<NA>000.0<NA><NA><NA>
73230000CDFH330108198300000419830729<NA>3폐업3폐업19961211<NA><NA><NA><NA><NA>138864서울특별시 송파구 잠실동 252-11번지서울특별시 송파구 삼전로 95 (잠실동)<NA>털보2004-02-18 16:00:53I2018-08-31 23:59:59.0<NA>207880.98059444978.667535당구장업사립0<NA><NA><NA><NA><NA><NA>
83230000CDFH330108198300000519831022<NA>3폐업3폐업19980804<NA><NA><NA><NA><NA>138879서울특별시 송파구 풍납동 402-4번지서울특별시 송파구 토성로 78 (풍납동)<NA>2000당구장2003-02-17 15:15:04I2018-08-31 23:59:59.0<NA>210393.799404447318.999888당구장업사립<NA>000.0<NA><NA><NA>
93230000CDFH330108198400000119840313<NA>3폐업3폐업20010502<NA><NA><NA><NA><NA>138862서울특별시 송파구 잠실동 206-3번지서울특별시 송파구 백제고분로7길 42-37 (잠실동)<NA>그린2003-02-17 15:15:04I2018-08-31 23:59:59.0<NA>207372.067846445222.019358당구장업사립<NA>000.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
7723230000CDFH33010820190000082019-09-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 마천동 125-23서울특별시 송파구 거마로20길 18, 지하층 (마천동)5756캐슬 당구클럽2023-02-15 10:23:20U2022-12-01 23:07:00.0<NA>213052.251462443925.8645<NA><NA><NA><NA><NA><NA><NA><NA><NA>
7733230000CDFH330108202000000120200210<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 53-18번지서울특별시 송파구 송파대로22길 5, 2층 (문정동)5805로데오 당구장2020-02-10 13:31:08I2020-02-12 00:23:23.0<NA>210763.3662442841.435287당구장업사립<NA><NA><NA><NA><NA><NA><NA>
7743230000CDFH33010820200000022020-07-14<NA>3폐업3폐업2023-09-14<NA><NA><NA><NA><NA><NA>서울특별시 송파구 석촌동 277서울특별시 송파구 가락로 99, 석촌프라자 6층 1호 (석촌동)5688브라보캐롬클럽 석촌점2023-09-14 17:08:25U2022-12-08 23:06:00.0<NA>209374.045795444343.280267<NA><NA><NA><NA><NA><NA><NA><NA><NA>
7753230000CDFH33010820200000032020-09-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 76 가락빌딩서울특별시 송파구 양재대로62길 47, 가락빌딩 지하층 2호 (가락동)5713당구마루2024-03-25 14:34:32U2023-12-02 22:07:00.0<NA>210605.265509443768.883512<NA><NA><NA><NA><NA><NA><NA><NA><NA>
7763230000CDFH330108202100000120210201<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 오금동 72-9서울특별시 송파구 마천로 138, 3층 (오금동)5728스타 당구장2022-11-24 18:35:10U2021-10-31 22:06:00.0<NA>211845.892959444710.435411<NA><NA><NA><NA><NA><NA><NA><NA><NA>
7773230000CDFH330108202100000220210510<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 방이동 203-4서울특별시 송파구 위례성대로18길 28, 2층 5호 (방이동)5639프로 빌리어드 2000 당구장2021-05-10 17:15:06I2021-05-12 00:23:08.0<NA>210971.160875445326.924339당구장업사립<NA><NA><NA>1047.02<NA><NA><NA>
7783230000CDFH330108202200000120220112<NA>1영업/정상13영업중<NA><NA><NA><NA>02-400-3997<NA><NA>서울특별시 송파구 오금동 151-3 제삼빌딩 2층서울특별시 송파구 동남로 278, 제삼빌딩 2층 (오금동)5740킹콩 가브리엘 빌리어드 클럽2022-01-12 13:25:18I2022-01-14 00:22:40.0<NA>212034.225868444245.420744당구장업사립<NA>001534.130<NA><NA>
7793230000CDFH330108202300000120230105<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 마천동 161-2 4층서울특별시 송파구 성내천로 229, 4층 (마천동)5747라이프 당구장2023-01-05 10:58:01I2022-12-01 00:07:00.0<NA>213472.400666444156.642136<NA><NA><NA><NA><NA><NA><NA><NA><NA>
7803230000CDFH33010820240000012024-02-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 마천동 139 지하1층서울특별시 송파구 마천로45길 22, 지하1층 (마천동)5751시장 당구장2024-02-26 08:57:41I2023-12-01 22:08:00.0<NA>213270.253079443954.503431<NA><NA><NA><NA><NA><NA><NA><NA><NA>
7813230000CDFH33010820240000022024-05-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 99-10 지하1층서울특별시 송파구 새말로 146-1, 지하1층 (문정동)5799Carom62024-05-09 14:36:12I2023-12-04 23:01:00.0<NA>211437.392204442420.052347<NA><NA><NA><NA><NA><NA><NA><NA><NA>