Overview

Dataset statistics

Number of variables34
Number of observations226
Missing cells2223
Missing cells (%)28.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory64.1 KiB
Average record size in memory290.6 B

Variable types

Categorical13
Text6
DateTime4
Unsupported7
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-19856/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (95.9%)Imbalance
영업상태코드 is highly imbalanced (50.1%)Imbalance
영업상태명 is highly imbalanced (50.1%)Imbalance
상세영업상태코드 is highly imbalanced (60.0%)Imbalance
상세영업상태명 is highly imbalanced (60.0%)Imbalance
보험가입여부코드 is highly imbalanced (55.6%)Imbalance
건축물동수 is highly imbalanced (52.6%)Imbalance
회원모집총인원 is highly imbalanced (75.2%)Imbalance
폐업일자 has 180 (79.6%) missing valuesMissing
휴업시작일자 has 226 (100.0%) missing valuesMissing
휴업종료일자 has 226 (100.0%) missing valuesMissing
재개업일자 has 226 (100.0%) missing valuesMissing
전화번호 has 85 (37.6%) missing valuesMissing
소재지면적 has 226 (100.0%) missing valuesMissing
소재지우편번호 has 142 (62.8%) missing valuesMissing
도로명주소 has 7 (3.1%) missing valuesMissing
도로명우편번호 has 62 (27.4%) missing valuesMissing
업태구분명 has 226 (100.0%) missing valuesMissing
좌표정보(X) has 3 (1.3%) missing valuesMissing
좌표정보(Y) has 3 (1.3%) missing valuesMissing
건축물연면적 has 159 (70.4%) missing valuesMissing
세부업종명 has 226 (100.0%) missing valuesMissing
법인명 has 226 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
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 37 (16.4%) zerosZeros

Reproduction

Analysis started2024-05-11 07:49:44.453928
Analysis finished2024-05-11 07:49:46.067920
Duration1.61 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
3040000
226 

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 226
100.0%

Length

2024-05-11T07:49:46.365926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:49:46.775401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 226
100.0%

관리번호
Text

UNIQUE 

Distinct226
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-05-11T07:49:47.335907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters4520
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

Unique226 ?
Unique (%)100.0%

Sample

1st rowCDFH3301061989000001
2nd rowCDFH3301061989000002
3rd rowCDFH3301061990000001
4th rowCDFH3301061992000001
5th rowCDFH3301061993000001
ValueCountFrequency (%)
cdfh3301061989000001 1
 
0.4%
cdfh3301062020000009 1
 
0.4%
cdfh3301062018000005 1
 
0.4%
cdfh3301062019000009 1
 
0.4%
cdfh3301062018000006 1
 
0.4%
cdfh3301062018000007 1
 
0.4%
cdfh3301062018000008 1
 
0.4%
cdfh3301062019000001 1
 
0.4%
cdfh3301062019000002 1
 
0.4%
cdfh3301062019000003 1
 
0.4%
Other values (216) 216
95.6%
2024-05-11T07:49:48.473064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1814
40.1%
3 513
 
11.3%
1 418
 
9.2%
2 317
 
7.0%
6 259
 
5.7%
C 226
 
5.0%
D 226
 
5.0%
F 226
 
5.0%
H 226
 
5.0%
9 126
 
2.8%
Other values (4) 169
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3616
80.0%
Uppercase Letter 904
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1814
50.2%
3 513
 
14.2%
1 418
 
11.6%
2 317
 
8.8%
6 259
 
7.2%
9 126
 
3.5%
4 49
 
1.4%
5 48
 
1.3%
7 38
 
1.1%
8 34
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
C 226
25.0%
D 226
25.0%
F 226
25.0%
H 226
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3616
80.0%
Latin 904
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1814
50.2%
3 513
 
14.2%
1 418
 
11.6%
2 317
 
8.8%
6 259
 
7.2%
9 126
 
3.5%
4 49
 
1.4%
5 48
 
1.3%
7 38
 
1.1%
8 34
 
0.9%
Latin
ValueCountFrequency (%)
C 226
25.0%
D 226
25.0%
F 226
25.0%
H 226
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4520
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1814
40.1%
3 513
 
11.3%
1 418
 
9.2%
2 317
 
7.0%
6 259
 
5.7%
C 226
 
5.0%
D 226
 
5.0%
F 226
 
5.0%
H 226
 
5.0%
9 126
 
2.8%
Other values (4) 169
 
3.7%

인허가일자
Date

Distinct216
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum1989-10-23 00:00:00
Maximum2024-05-08 00:00:00
2024-05-11T07:49:49.056128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:49:49.751427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
225 
20150707
 
1

Length

Max length8
Median length4
Mean length4.0176991
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 225
99.6%
20150707 1
 
0.4%

Length

2024-05-11T07:49:50.272061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:49:50.786103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 225
99.6%
20150707 1
 
0.4%

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
1
179 
3
45 
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 179
79.2%
3 45
 
19.9%
4 2
 
0.9%

Length

2024-05-11T07:49:51.169124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:49:51.461937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 179
79.2%
3 45
 
19.9%
4 2
 
0.9%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
영업/정상
179 
폐업
45 
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length4.4823009
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 179
79.2%
폐업 45
 
19.9%
취소/말소/만료/정지/중지 2
 
0.9%

Length

2024-05-11T07:49:51.990719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:49:52.351211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 179
79.2%
폐업 45
 
19.9%
취소/말소/만료/정지/중지 2
 
0.9%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
13
179 
3
45 
35
 
1
32
 
1

Length

Max length2
Median length2
Mean length1.800885
Min length1

Unique

Unique2 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
13 179
79.2%
3 45
 
19.9%
35 1
 
0.4%
32 1
 
0.4%

Length

2024-05-11T07:49:52.787649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:49:53.203668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 179
79.2%
3 45
 
19.9%
35 1
 
0.4%
32 1
 
0.4%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
영업중
179 
폐업
45 
직권말소
 
1
신고취소
 
1

Length

Max length4
Median length3
Mean length2.8097345
Min length2

Unique

Unique2 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 179
79.2%
폐업 45
 
19.9%
직권말소 1
 
0.4%
신고취소 1
 
0.4%

Length

2024-05-11T07:49:53.633839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:49:53.981499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 179
79.2%
폐업 45
 
19.9%
직권말소 1
 
0.4%
신고취소 1
 
0.4%

폐업일자
Date

MISSING 

Distinct46
Distinct (%)100.0%
Missing180
Missing (%)79.6%
Memory size1.9 KiB
Minimum1998-04-23 00:00:00
Maximum2023-12-29 00:00:00
2024-05-11T07:49:54.312680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:49:54.757307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing226
Missing (%)100.0%
Memory size2.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing226
Missing (%)100.0%
Memory size2.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing226
Missing (%)100.0%
Memory size2.1 KiB

전화번호
Text

MISSING 

Distinct140
Distinct (%)99.3%
Missing85
Missing (%)37.6%
Memory size1.9 KiB
2024-05-11T07:49:55.766192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length9.7021277
Min length7

Characters and Unicode

Total characters1368
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique139 ?
Unique (%)98.6%

Sample

1st row446-6405
2nd row447-5343
3rd row466-5631
4th row469-4800
5th row464-1963
ValueCountFrequency (%)
452-1397 2
 
1.4%
02-468-0006 1
 
0.7%
024447729 1
 
0.7%
02-3437-4321 1
 
0.7%
446-3390 1
 
0.7%
02-499-8600 1
 
0.7%
02-452-3555 1
 
0.7%
02-461-9679 1
 
0.7%
02-461-7048 1
 
0.7%
465-9679 1
 
0.7%
Other values (130) 130
92.2%
2024-05-11T07:49:57.060914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 232
17.0%
- 198
14.5%
0 173
12.6%
2 152
11.1%
5 129
9.4%
6 113
8.3%
9 85
 
6.2%
8 81
 
5.9%
3 80
 
5.8%
1 65
 
4.8%
Other values (2) 60
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1164
85.1%
Dash Punctuation 198
 
14.5%
Close Punctuation 6
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 232
19.9%
0 173
14.9%
2 152
13.1%
5 129
11.1%
6 113
9.7%
9 85
 
7.3%
8 81
 
7.0%
3 80
 
6.9%
1 65
 
5.6%
7 54
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 198
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1368
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 232
17.0%
- 198
14.5%
0 173
12.6%
2 152
11.1%
5 129
9.4%
6 113
8.3%
9 85
 
6.2%
8 81
 
5.9%
3 80
 
5.8%
1 65
 
4.8%
Other values (2) 60
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1368
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 232
17.0%
- 198
14.5%
0 173
12.6%
2 152
11.1%
5 129
9.4%
6 113
8.3%
9 85
 
6.2%
8 81
 
5.9%
3 80
 
5.8%
1 65
 
4.8%
Other values (2) 60
 
4.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing226
Missing (%)100.0%
Memory size2.1 KiB

소재지우편번호
Text

MISSING 

Distinct50
Distinct (%)59.5%
Missing142
Missing (%)62.8%
Memory size1.9 KiB
2024-05-11T07:49:57.672810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0238095
Min length6

Characters and Unicode

Total characters506
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

Unique33 ?
Unique (%)39.3%

Sample

1st row143866
2nd row143840
3rd row143862
4th row143916
5th row143914
ValueCountFrequency (%)
143840 6
 
7.1%
143817 5
 
6.0%
143825 4
 
4.8%
143842 4
 
4.8%
143723 3
 
3.6%
143915 3
 
3.6%
143914 3
 
3.6%
143821 3
 
3.6%
143888 3
 
3.6%
143900 3
 
3.6%
Other values (40) 47
56.0%
2024-05-11T07:49:58.702994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 108
21.3%
4 102
20.2%
3 99
19.6%
8 77
15.2%
2 31
 
6.1%
0 21
 
4.2%
9 21
 
4.2%
7 20
 
4.0%
5 15
 
3.0%
6 10
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 504
99.6%
Dash Punctuation 2
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 108
21.4%
4 102
20.2%
3 99
19.6%
8 77
15.3%
2 31
 
6.2%
0 21
 
4.2%
9 21
 
4.2%
7 20
 
4.0%
5 15
 
3.0%
6 10
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 506
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 108
21.3%
4 102
20.2%
3 99
19.6%
8 77
15.2%
2 31
 
6.1%
0 21
 
4.2%
9 21
 
4.2%
7 20
 
4.0%
5 15
 
3.0%
6 10
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 506
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 108
21.3%
4 102
20.2%
3 99
19.6%
8 77
15.2%
2 31
 
6.1%
0 21
 
4.2%
9 21
 
4.2%
7 20
 
4.0%
5 15
 
3.0%
6 10
 
2.0%

지번주소
Text

Distinct218
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-05-11T07:49:59.564248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length41
Mean length24.871681
Min length14

Characters and Unicode

Total characters5621
Distinct characters147
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

Unique212 ?
Unique (%)93.8%

Sample

1st row서울특별시 광진구 자양동 610-9번지
2nd row서울특별시 광진구 자양동 623-23번지
3rd row서울특별시 광진구 군자동 361-27번지
4th row서울특별시 광진구 자양동 553-428번지
5th row서울특별시 광진구 화양동 21-4번지
ValueCountFrequency (%)
서울특별시 226
20.8%
광진구 226
20.8%
자양동 62
 
5.7%
구의동 62
 
5.7%
중곡동 37
 
3.4%
지하1층 24
 
2.2%
군자동 22
 
2.0%
화양동 22
 
2.0%
2층 16
 
1.5%
광장동 16
 
1.5%
Other values (300) 372
34.3%
2024-05-11T07:50:01.064822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1019
18.1%
구 290
 
5.2%
광 244
 
4.3%
동 238
 
4.2%
진 229
 
4.1%
서 227
 
4.0%
시 227
 
4.0%
울 227
 
4.0%
특 226
 
4.0%
별 226
 
4.0%
Other values (137) 2468
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3216
57.2%
Decimal Number 1123
 
20.0%
Space Separator 1019
 
18.1%
Dash Punctuation 209
 
3.7%
Other Punctuation 13
 
0.2%
Open Punctuation 12
 
0.2%
Close Punctuation 12
 
0.2%
Uppercase Letter 10
 
0.2%
Lowercase Letter 6
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 290
 
9.0%
광 244
 
7.6%
동 238
 
7.4%
진 229
 
7.1%
서 227
 
7.1%
시 227
 
7.1%
울 227
 
7.1%
특 226
 
7.0%
별 226
 
7.0%
지 165
 
5.1%
Other values (108) 917
28.5%
Decimal Number
ValueCountFrequency (%)
1 220
19.6%
2 197
17.5%
5 132
11.8%
3 115
10.2%
4 105
9.3%
6 103
9.2%
0 77
 
6.9%
8 66
 
5.9%
7 59
 
5.3%
9 49
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
B 4
40.0%
C 2
20.0%
E 1
 
10.0%
S 1
 
10.0%
D 1
 
10.0%
K 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
p 1
16.7%
i 1
16.7%
s 1
16.7%
o 1
16.7%
d 1
16.7%
e 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 12
92.3%
/ 1
 
7.7%
Space Separator
ValueCountFrequency (%)
1019
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 209
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3216
57.2%
Common 2389
42.5%
Latin 16
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 290
 
9.0%
광 244
 
7.6%
동 238
 
7.4%
진 229
 
7.1%
서 227
 
7.1%
시 227
 
7.1%
울 227
 
7.1%
특 226
 
7.0%
별 226
 
7.0%
지 165
 
5.1%
Other values (108) 917
28.5%
Common
ValueCountFrequency (%)
1019
42.7%
1 220
 
9.2%
- 209
 
8.7%
2 197
 
8.2%
5 132
 
5.5%
3 115
 
4.8%
4 105
 
4.4%
6 103
 
4.3%
0 77
 
3.2%
8 66
 
2.8%
Other values (7) 146
 
6.1%
Latin
ValueCountFrequency (%)
B 4
25.0%
C 2
12.5%
E 1
 
6.2%
p 1
 
6.2%
i 1
 
6.2%
s 1
 
6.2%
o 1
 
6.2%
d 1
 
6.2%
e 1
 
6.2%
S 1
 
6.2%
Other values (2) 2
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3216
57.2%
ASCII 2405
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1019
42.4%
1 220
 
9.1%
- 209
 
8.7%
2 197
 
8.2%
5 132
 
5.5%
3 115
 
4.8%
4 105
 
4.4%
6 103
 
4.3%
0 77
 
3.2%
8 66
 
2.7%
Other values (19) 162
 
6.7%
Hangul
ValueCountFrequency (%)
구 290
 
9.0%
광 244
 
7.6%
동 238
 
7.4%
진 229
 
7.1%
서 227
 
7.1%
시 227
 
7.1%
울 227
 
7.1%
특 226
 
7.0%
별 226
 
7.0%
지 165
 
5.1%
Other values (108) 917
28.5%

도로명주소
Text

MISSING 

Distinct216
Distinct (%)98.6%
Missing7
Missing (%)3.1%
Memory size1.9 KiB
2024-05-11T07:50:02.046257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length44
Mean length31.136986
Min length22

Characters and Unicode

Total characters6819
Distinct characters196
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

Unique213 ?
Unique (%)97.3%

Sample

1st row서울특별시 광진구 자양번영로 42 (자양동, 공주빌딩)
2nd row서울특별시 광진구 광나루로 379 (군자동)
3rd row서울특별시 광진구 뚝섬로 523 (자양동)
4th row서울특별시 광진구 광나루로 346 (화양동)
5th row서울특별시 광진구 능동로13길 39 (화양동)
ValueCountFrequency (%)
서울특별시 220
 
16.2%
광진구 219
 
16.1%
구의동 57
 
4.2%
자양동 56
 
4.1%
중곡동 33
 
2.4%
아차산로 31
 
2.3%
지하1층 29
 
2.1%
2층 26
 
1.9%
3층 22
 
1.6%
뚝섬로 22
 
1.6%
Other values (360) 644
47.4%
2024-05-11T07:50:03.702988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1190
 
17.5%
구 297
 
4.4%
동 277
 
4.1%
광 271
 
4.0%
( 228
 
3.3%
) 228
 
3.3%
진 227
 
3.3%
시 223
 
3.3%
서 221
 
3.2%
, 221
 
3.2%
Other values (186) 3436
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3995
58.6%
Space Separator 1190
 
17.5%
Decimal Number 926
 
13.6%
Open Punctuation 228
 
3.3%
Close Punctuation 228
 
3.3%
Other Punctuation 222
 
3.3%
Uppercase Letter 14
 
0.2%
Dash Punctuation 9
 
0.1%
Lowercase Letter 6
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 297
 
7.4%
동 277
 
6.9%
광 271
 
6.8%
진 227
 
5.7%
시 223
 
5.6%
서 221
 
5.5%
특 220
 
5.5%
별 220
 
5.5%
울 220
 
5.5%
로 219
 
5.5%
Other values (157) 1600
40.1%
Decimal Number
ValueCountFrequency (%)
1 178
19.2%
2 138
14.9%
3 124
13.4%
5 110
11.9%
6 90
9.7%
4 77
8.3%
0 73
7.9%
7 52
 
5.6%
8 49
 
5.3%
9 35
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
B 8
57.1%
C 2
 
14.3%
S 1
 
7.1%
D 1
 
7.1%
E 1
 
7.1%
K 1
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
s 1
16.7%
e 1
16.7%
d 1
16.7%
o 1
16.7%
i 1
16.7%
p 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 221
99.5%
/ 1
 
0.5%
Space Separator
ValueCountFrequency (%)
1190
100.0%
Open Punctuation
ValueCountFrequency (%)
( 228
100.0%
Close Punctuation
ValueCountFrequency (%)
) 228
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3995
58.6%
Common 2804
41.1%
Latin 20
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 297
 
7.4%
동 277
 
6.9%
광 271
 
6.8%
진 227
 
5.7%
시 223
 
5.6%
서 221
 
5.5%
특 220
 
5.5%
별 220
 
5.5%
울 220
 
5.5%
로 219
 
5.5%
Other values (157) 1600
40.1%
Common
ValueCountFrequency (%)
1190
42.4%
( 228
 
8.1%
) 228
 
8.1%
, 221
 
7.9%
1 178
 
6.3%
2 138
 
4.9%
3 124
 
4.4%
5 110
 
3.9%
6 90
 
3.2%
4 77
 
2.7%
Other values (7) 220
 
7.8%
Latin
ValueCountFrequency (%)
B 8
40.0%
C 2
 
10.0%
s 1
 
5.0%
S 1
 
5.0%
e 1
 
5.0%
d 1
 
5.0%
o 1
 
5.0%
i 1
 
5.0%
p 1
 
5.0%
D 1
 
5.0%
Other values (2) 2
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3995
58.6%
ASCII 2824
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1190
42.1%
( 228
 
8.1%
) 228
 
8.1%
, 221
 
7.8%
1 178
 
6.3%
2 138
 
4.9%
3 124
 
4.4%
5 110
 
3.9%
6 90
 
3.2%
4 77
 
2.7%
Other values (19) 240
 
8.5%
Hangul
ValueCountFrequency (%)
구 297
 
7.4%
동 277
 
6.9%
광 271
 
6.8%
진 227
 
5.7%
시 223
 
5.6%
서 221
 
5.5%
특 220
 
5.5%
별 220
 
5.5%
울 220
 
5.5%
로 219
 
5.5%
Other values (157) 1600
40.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)57.3%
Missing62
Missing (%)27.4%
Infinite0
Infinite (%)0.0%
Mean6717.8659
Minimum4901
Maximum143840
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-05-11T07:50:04.509419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4901
5-th percentile4912.2
Q14984.75
median5034
Q35074
95-th percentile5117
Maximum143840
Range138939
Interquartile range (IQR)89.25

Descriptive statistics

Standard deviation15275.943
Coefficient of variation (CV)2.273928
Kurtosis79.447934
Mean6717.8659
Median Absolute Deviation (MAD)43.5
Skewness8.9709435
Sum1101730
Variance2.3335445 × 108
MonotonicityNot monotonic
2024-05-11T07:50:05.233664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5117 6
 
2.7%
5034 5
 
2.2%
5009 5
 
2.2%
5007 5
 
2.2%
5043 4
 
1.8%
5074 4
 
1.8%
4974 4
 
1.8%
4997 3
 
1.3%
5066 3
 
1.3%
5098 3
 
1.3%
Other values (84) 122
54.0%
(Missing) 62
27.4%
ValueCountFrequency (%)
4901 2
0.9%
4906 2
0.9%
4908 1
0.4%
4909 2
0.9%
4910 1
0.4%
4911 1
0.4%
4919 2
0.9%
4928 2
0.9%
4929 2
0.9%
4937 1
0.4%
ValueCountFrequency (%)
143840 1
 
0.4%
143721 1
 
0.4%
5119 1
 
0.4%
5118 2
 
0.9%
5117 6
2.7%
5116 3
1.3%
5115 2
 
0.9%
5112 2
 
0.9%
5106 1
 
0.4%
5102 2
 
0.9%

사업장명
Text

Distinct219
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-05-11T07:50:06.150044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length8.2654867
Min length3

Characters and Unicode

Total characters1868
Distinct characters295
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

Unique215 ?
Unique (%)95.1%

Sample

1st row유진헬스클럽
2nd row서울헬스
3rd row동부육체미
4th row오성헬스클럽
5th row골드헬스크럽
ValueCountFrequency (%)
휘트니스 16
 
4.3%
pt 7
 
1.9%
건대점 7
 
1.9%
짐 6
 
1.6%
구의점 5
 
1.3%
중곡점 4
 
1.1%
스튜디오 4
 
1.1%
4
 
1.1%
크로스핏 4
 
1.1%
파워헬스 4
 
1.1%
Other values (272) 310
83.6%
2024-05-11T07:50:07.420481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 171
 
9.2%
145
 
7.8%
트 63
 
3.4%
니 62
 
3.3%
헬 54
 
2.9%
짐 48
 
2.6%
휘 43
 
2.3%
이 41
 
2.2%
점 33
 
1.8%
T 26
 
1.4%
Other values (285) 1182
63.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1442
77.2%
Space Separator 145
 
7.8%
Uppercase Letter 140
 
7.5%
Lowercase Letter 60
 
3.2%
Decimal Number 29
 
1.6%
Close Punctuation 19
 
1.0%
Open Punctuation 17
 
0.9%
Other Punctuation 14
 
0.7%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 171
 
11.9%
트 63
 
4.4%
니 62
 
4.3%
헬 54
 
3.7%
짐 48
 
3.3%
휘 43
 
3.0%
이 41
 
2.8%
점 33
 
2.3%
디 25
 
1.7%
라 25
 
1.7%
Other values (227) 877
60.8%
Uppercase Letter
ValueCountFrequency (%)
T 26
18.6%
P 18
12.9%
M 13
9.3%
A 12
8.6%
Y 10
 
7.1%
S 8
 
5.7%
G 8
 
5.7%
F 7
 
5.0%
I 6
 
4.3%
D 5
 
3.6%
Other values (12) 27
19.3%
Lowercase Letter
ValueCountFrequency (%)
o 7
11.7%
s 7
11.7%
e 6
10.0%
i 5
 
8.3%
t 4
 
6.7%
u 4
 
6.7%
a 4
 
6.7%
c 3
 
5.0%
l 3
 
5.0%
h 3
 
5.0%
Other values (9) 14
23.3%
Decimal Number
ValueCountFrequency (%)
2 9
31.0%
1 5
17.2%
4 4
13.8%
0 3
 
10.3%
5 2
 
6.9%
9 2
 
6.9%
3 2
 
6.9%
7 1
 
3.4%
6 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
& 10
71.4%
' 2
 
14.3%
. 1
 
7.1%
? 1
 
7.1%
Space Separator
ValueCountFrequency (%)
145
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1442
77.2%
Common 226
 
12.1%
Latin 200
 
10.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 171
 
11.9%
트 63
 
4.4%
니 62
 
4.3%
헬 54
 
3.7%
짐 48
 
3.3%
휘 43
 
3.0%
이 41
 
2.8%
점 33
 
2.3%
디 25
 
1.7%
라 25
 
1.7%
Other values (227) 877
60.8%
Latin
ValueCountFrequency (%)
T 26
 
13.0%
P 18
 
9.0%
M 13
 
6.5%
A 12
 
6.0%
Y 10
 
5.0%
S 8
 
4.0%
G 8
 
4.0%
F 7
 
3.5%
o 7
 
3.5%
s 7
 
3.5%
Other values (31) 84
42.0%
Common
ValueCountFrequency (%)
145
64.2%
) 19
 
8.4%
( 17
 
7.5%
& 10
 
4.4%
2 9
 
4.0%
1 5
 
2.2%
4 4
 
1.8%
0 3
 
1.3%
5 2
 
0.9%
9 2
 
0.9%
Other values (7) 10
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1442
77.2%
ASCII 426
 
22.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 171
 
11.9%
트 63
 
4.4%
니 62
 
4.3%
헬 54
 
3.7%
짐 48
 
3.3%
휘 43
 
3.0%
이 41
 
2.8%
점 33
 
2.3%
디 25
 
1.7%
라 25
 
1.7%
Other values (227) 877
60.8%
ASCII
ValueCountFrequency (%)
145
34.0%
T 26
 
6.1%
) 19
 
4.5%
P 18
 
4.2%
( 17
 
4.0%
M 13
 
3.1%
A 12
 
2.8%
Y 10
 
2.3%
& 10
 
2.3%
2 9
 
2.1%
Other values (48) 147
34.5%

최종수정일자
Date

Distinct210
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2003-05-13 11:23:25
Maximum2024-05-08 11:26:26
2024-05-11T07:50:08.046360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:50:09.060740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
I
152 
U
74 

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 152
67.3%
U 74
32.7%

Length

2024-05-11T07:50:09.724308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:50:10.134801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 152
67.3%
u 74
32.7%

데이터갱신일자
Date

Distinct114
Distinct (%)50.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 23:00:00
2024-05-11T07:50:10.549322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:50:10.994646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing226
Missing (%)100.0%
Memory size2.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct193
Distinct (%)86.5%
Missing3
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean207220.15
Minimum205423.17
Maximum209637.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-05-11T07:50:11.576778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205423.17
5-th percentile205828.8
Q1206400.71
median207258.41
Q3207961.79
95-th percentile208640.82
Maximum209637.08
Range4213.9115
Interquartile range (IQR)1561.0782

Descriptive statistics

Standard deviation939.33109
Coefficient of variation (CV)0.0045330104
Kurtosis-0.64237358
Mean207220.15
Median Absolute Deviation (MAD)732.77488
Skewness0.22678944
Sum46210093
Variance882342.9
MonotonicityNot monotonic
2024-05-11T07:50:12.491447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205957.334963839 5
 
2.2%
205800.186223739 4
 
1.8%
208310.372259506 3
 
1.3%
208214.895653032 2
 
0.9%
207359.077156309 2
 
0.9%
208006.504810197 2
 
0.9%
206893.84345075 2
 
0.9%
207092.481119161 2
 
0.9%
208096.18382136 2
 
0.9%
207176.529121066 2
 
0.9%
Other values (183) 197
87.2%
(Missing) 3
 
1.3%
ValueCountFrequency (%)
205423.166680094 1
 
0.4%
205663.081069121 1
 
0.4%
205747.928011011 1
 
0.4%
205778.723060262 1
 
0.4%
205790.314656369 1
 
0.4%
205800.186223739 4
1.8%
205804.747421072 1
 
0.4%
205828.253476728 1
 
0.4%
205828.733665313 1
 
0.4%
205829.430082557 1
 
0.4%
ValueCountFrequency (%)
209637.078215509 1
0.4%
209478.455521708 1
0.4%
209390.460834219 1
0.4%
209345.941766315 2
0.9%
209343.001409181 1
0.4%
209301.892401996 1
0.4%
209194.595129323 1
0.4%
209056.405858415 1
0.4%
209023.362979212 1
0.4%
208808.837959863 1
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct193
Distinct (%)86.5%
Missing3
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean449153.15
Minimum447374.01
Maximum452070.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-05-11T07:50:13.313389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447374.01
5-th percentile447754.59
Q1448305.44
median448816.73
Q3449909.04
95-th percentile451344.76
Maximum452070.12
Range4696.1099
Interquartile range (IQR)1603.6016

Descriptive statistics

Standard deviation1114.9796
Coefficient of variation (CV)0.002482404
Kurtosis-0.36850494
Mean449153.15
Median Absolute Deviation (MAD)726.4401
Skewness0.68717963
Sum1.0016115 × 108
Variance1243179.4
MonotonicityNot monotonic
2024-05-11T07:50:13.959653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448148.563344309 5
 
2.2%
448390.088509972 4
 
1.8%
448631.437594782 3
 
1.3%
448960.106855126 2
 
0.9%
448305.441351828 2
 
0.9%
447998.924380413 2
 
0.9%
447758.903010754 2
 
0.9%
452070.118445356 2
 
0.9%
448575.80113761 2
 
0.9%
451719.329086886 2
 
0.9%
Other values (183) 197
87.2%
(Missing) 3
 
1.3%
ValueCountFrequency (%)
447374.008518853 1
0.4%
447404.717192681 1
0.4%
447586.883351805 1
0.4%
447632.296040333 1
0.4%
447660.245846321 1
0.4%
447665.572094253 1
0.4%
447676.098948209 1
0.4%
447685.232564451 1
0.4%
447700.642403113 1
0.4%
447709.275315842 1
0.4%
ValueCountFrequency (%)
452070.118445356 2
0.9%
451951.606434503 1
0.4%
451864.561543605 1
0.4%
451726.824779759 1
0.4%
451719.329086886 2
0.9%
451624.20026307 1
0.4%
451452.694742265 1
0.4%
451435.772826853 1
0.4%
451361.977710943 1
0.4%
451347.780303197 1
0.4%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
체력단련장업
163 
<NA>
63 

Length

Max length6
Median length6
Mean length5.4424779
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체력단련장업 163
72.1%
<NA> 63
 
27.9%

Length

2024-05-11T07:50:14.673786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:50:15.426146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체력단련장업 163
72.1%
na 63
 
27.9%

공사립구분명
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
사립
163 
<NA>
63 

Length

Max length4
Median length2
Mean length2.5575221
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 163
72.1%
<NA> 63
 
27.9%

Length

2024-05-11T07:50:16.101357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:50:16.579209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 163
72.1%
na 63
 
27.9%

보험가입여부코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
188 
0
36 
Y
 
2

Length

Max length4
Median length4
Mean length3.4955752
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 188
83.2%
0 36
 
15.9%
Y 2
 
0.9%

Length

2024-05-11T07:50:17.029842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:50:17.426163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 188
83.2%
0 36
 
15.9%
y 2
 
0.9%

지도자수
Categorical

Distinct4
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
148 
1
43 
0
25 
2
 
10

Length

Max length4
Median length4
Mean length2.9646018
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 148
65.5%
1 43
 
19.0%
0 25
 
11.1%
2 10
 
4.4%

Length

2024-05-11T07:50:17.856901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:50:18.432517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 148
65.5%
1 43
 
19.0%
0 25
 
11.1%
2 10
 
4.4%

건축물동수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
185 
0
38 
1
 
3

Length

Max length4
Median length4
Mean length3.4557522
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 185
81.9%
0 38
 
16.8%
1 3
 
1.3%

Length

2024-05-11T07:50:18.926820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:50:19.330154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 185
81.9%
0 38
 
16.8%
1 3
 
1.3%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct31
Distinct (%)46.3%
Missing159
Missing (%)70.4%
Infinite0
Infinite (%)0.0%
Mean2348.3885
Minimum0
Maximum43116.56
Zeros37
Zeros (%)16.4%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-05-11T07:50:19.865472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31206.8
95-th percentile11002.82
Maximum43116.56
Range43116.56
Interquartile range (IQR)1206.8

Descriptive statistics

Standard deviation6984.0849
Coefficient of variation (CV)2.9739904
Kurtosis21.341453
Mean2348.3885
Median Absolute Deviation (MAD)0
Skewness4.4612806
Sum157342.03
Variance48777441
MonotonicityNot monotonic
2024-05-11T07:50:20.472543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0.0 37
 
16.4%
948.48 1
 
0.4%
456.86 1
 
0.4%
485.19 1
 
0.4%
372.4 1
 
0.4%
923.83 1
 
0.4%
12326.6 1
 
0.4%
767.81 1
 
0.4%
713.78 1
 
0.4%
4104.82 1
 
0.4%
Other values (21) 21
 
9.3%
(Missing) 159
70.4%
ValueCountFrequency (%)
0.0 37
16.4%
152.42 1
 
0.4%
171.16 1
 
0.4%
372.4 1
 
0.4%
428.34 1
 
0.4%
456.86 1
 
0.4%
485.19 1
 
0.4%
490.57 1
 
0.4%
713.78 1
 
0.4%
767.81 1
 
0.4%
ValueCountFrequency (%)
43116.56 1
0.4%
29895.3 1
0.4%
22345.36 1
0.4%
12326.6 1
0.4%
7914.0 1
0.4%
5228.1 1
0.4%
4290.5 1
0.4%
4247.18 1
0.4%
4104.82 1
0.4%
3581.4 1
0.4%

회원모집총인원
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
210 
0
 
15
500
 
1

Length

Max length4
Median length4
Mean length3.7964602
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 210
92.9%
0 15
 
6.6%
500 1
 
0.4%

Length

2024-05-11T07:50:20.896753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:50:21.372324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 210
92.9%
0 15
 
6.6%
500 1
 
0.4%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing226
Missing (%)100.0%
Memory size2.1 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing226
Missing (%)100.0%
Memory size2.1 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03040000CDFH330106198900000119891023<NA>1영업/정상13영업중<NA><NA><NA><NA>446-6405<NA><NA>서울특별시 광진구 자양동 610-9번지서울특별시 광진구 자양번영로 42 (자양동, 공주빌딩)5064유진헬스클럽2017-03-07 17:11:12I2018-08-31 23:59:59.0<NA>206645.87619447900.666026체력단련장업사립<NA><NA>00.0<NA><NA><NA>
13040000CDFH330106198900000219891220<NA>1영업/정상13영업중<NA><NA><NA><NA>447-5343<NA>143866서울특별시 광진구 자양동 623-23번지<NA><NA>서울헬스2004-11-30 10:57:07I2018-08-31 23:59:59.0<NA>207086.894271447990.975919체력단련장업사립0<NA><NA><NA><NA><NA><NA>
23040000CDFH330106199000000119900103<NA>1영업/정상13영업중<NA><NA><NA><NA>466-5631<NA>143840서울특별시 광진구 군자동 361-27번지서울특별시 광진구 광나루로 379 (군자동)<NA>동부육체미2003-05-13 11:23:25I2018-08-31 23:59:59.0<NA>206293.664148449549.386757체력단련장업사립<NA>000.0<NA><NA><NA>
33040000CDFH330106199200000119921001<NA>3폐업3폐업20080523<NA><NA><NA>469-4800<NA>143862서울특별시 광진구 자양동 553-428번지서울특별시 광진구 뚝섬로 523 (자양동)<NA>오성헬스클럽2008-05-23 09:22:05I2018-08-31 23:59:59.0<NA>205957.334964448148.563344체력단련장업사립0<NA><NA><NA><NA><NA><NA>
43040000CDFH330106199300000119930126<NA>3폐업3폐업19990218<NA><NA><NA>464-1963<NA>143916서울특별시 광진구 화양동 21-4번지서울특별시 광진구 광나루로 346 (화양동)<NA>골드헬스크럽2003-05-13 11:23:25I2018-08-31 23:59:59.0<NA>205972.304691449529.700852체력단련장업사립<NA>000.0<NA><NA><NA>
53040000CDFH330106199300000219930707<NA>1영업/정상13영업중<NA><NA><NA><NA>468-3638<NA>143914서울특별시 광진구 화양동 10-1번지서울특별시 광진구 능동로13길 39 (화양동)<NA>역발산센터2010-08-26 10:22:52I2018-08-31 23:59:59.0<NA>206107.775164449029.342178체력단련장업사립0<NA><NA><NA><NA><NA><NA>
63040000CDFH330106199400000119940329<NA>3폐업3폐업20020614<NA><NA><NA>201-3284<NA>143817서울특별시 광진구 구의동 55-10번지 지층서울특별시 광진구 자양로45길 5 (구의동,지층)<NA>하나헬스크럽2003-12-22 11:33:54I2018-08-31 23:59:59.0<NA>208016.594414449907.933991체력단련장업사립0<NA><NA><NA><NA><NA><NA>
73040000CDFH330106199400000219940801<NA>1영업/정상13영업중<NA><NA><NA><NA>447-1660<NA><NA>서울특별시 광진구 자양동 216-9 세화빌딩 5층동서울특별시 광진구 아차산로 380, 5층 (자양동, 세화빌딩)5051휘트니스피플우먼 구의점2021-06-15 09:38:05U2021-06-17 02:40:00.0<NA>207444.548976448263.895282체력단련장업사립<NA><NA>00.0<NA><NA><NA>
83040000CDFH330106199400000319941201<NA>1영업/정상13영업중<NA><NA><NA><NA>456-5562<NA>143873서울특별시 광진구 자양동 666-4번지서울특별시 광진구 뚝섬로56길 59 (자양동)<NA>광운헬스2003-05-13 11:23:25I2018-08-31 23:59:59.0<NA>207259.900999447404.717193체력단련장업사립<NA>000.0<NA><NA><NA>
93040000CDFH330106199500000319950406<NA>3폐업3폐업20031031<NA><NA><NA>444-7990<NA>143817서울특별시 광진구 구의동 53-6번지서울특별시 광진구 천호대로 667 (구의동)<NA>원프러스휘트니스2003-12-29 16:43:37I2018-08-31 23:59:59.0<NA>207912.732166449925.285277체력단련장업사립0<NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
2163040000CDFH33010620230000142023-11-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 165-2서울특별시 광진구 능동로 389, 201호 (중곡동)4909라인피티2023-11-10 15:54:51I2022-10-31 23:02:00.0<NA>207263.284583451317.549086<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2173040000CDFH33010620230000152023-12-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 608-31서울특별시 광진구 자양번영로6길 15, 지층 (자양동)5098프리원핏 건대점2023-12-01 14:10:31I2022-11-02 00:03:00.0<NA>206681.573381447804.996874<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2183040000CDFH33010620240000012024-01-02<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4009-6618<NA><NA>서울특별시 광진구 구의동 546-11 강변역지너스타워서울특별시 광진구 강변역로4길 10, 강변역지너스타워 지층 (구의동)5116리몸델링짐 PT&필라테스 구의점2024-01-02 15:33:43I2023-12-01 00:04:00.0<NA>208189.434497448129.166313<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2193040000CDFH33010620240000032024-02-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 광장동 320-8서울특별시 광진구 아차산로76길 19, 지층 (광장동)4969웰니스핏2024-02-27 09:53:38I2023-12-01 22:09:00.0<NA>209478.455522449459.24111<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2203040000CDFH33010620240000042024-03-06<NA>1영업/정상13영업중<NA><NA><NA><NA>02-455-9720<NA><NA>서울특별시 광진구 구의동 214-12서울특별시 광진구 구의강변로 88, 4층 (구의동)5117정스짐 여성전문 PT & 헬스2024-03-06 16:00:22I2023-12-03 00:08:00.0<NA>208248.742957448463.148165<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2213040000CDFH33010620240000052024-03-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 553-531 이주빌딩서울특별시 광진구 뚝섬로 548, 이주빌딩 지층 (자양동)5090테일러 필라테스&피티2024-03-28 16:32:46I2023-12-02 21:00:00.0<NA>206190.256186448027.866874<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2223040000CDFH33010620240000062024-04-04<NA>1영업/정상13영업중<NA><NA><NA><NA>0260325516<NA><NA>서울특별시 광진구 군자동 2-2 동산빌딩서울특별시 광진구 능동로 271, 동산빌딩 3층 (군자동)4997언제나 바디 습관 PT2024-04-04 16:13:12I2023-12-04 00:06:00.0<NA>206785.674486450223.79687<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2233040000CDFH33010620240000072024-04-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 553-44서울특별시 광진구 뚝섬로 535, 2층 (자양동)5070그로우무브2024-04-16 10:09:47I2023-12-03 23:08:00.0<NA>206090.006049448098.052539<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2243040000CDFH33010620240000082024-04-25<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8878-5650<NA><NA>서울특별시 광진구 화양동 174 건대 트레비앙 오피스텔서울특별시 광진구 광나루로 374, 건대 트레비앙 오피스텔 B1,B2층 (화양동)5009짐박스피트니스 어린이대공원점2024-04-26 09:59:05I2023-12-03 22:08:00.0<NA>206246.086401449495.358479<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2253040000CDFH33010620240000092024-05-08<NA>1영업/정상13영업중<NA><NA><NA><NA>02-499-0092<NA><NA>서울특별시 광진구 중곡동 173-2 중곡빌딩서울특별시 광진구 면목로 161, 중곡빌딩 4층 (중곡동)4906마스터짐2024-05-08 11:24:15I2023-12-04 23:00:00.0<NA>207176.529121451719.329087<NA><NA><NA><NA><NA><NA><NA><NA><NA>