Overview

Dataset statistics

Number of variables34
Number of observations168
Missing cells1958
Missing cells (%)34.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory47.7 KiB
Average record size in memory290.8 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
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-19853/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
회원모집총인원 is highly imbalanced (77.8%)Imbalance
인허가취소일자 has 168 (100.0%) missing valuesMissing
폐업일자 has 128 (76.2%) missing valuesMissing
휴업시작일자 has 168 (100.0%) missing valuesMissing
휴업종료일자 has 168 (100.0%) missing valuesMissing
재개업일자 has 168 (100.0%) missing valuesMissing
전화번호 has 110 (65.5%) missing valuesMissing
소재지면적 has 168 (100.0%) missing valuesMissing
소재지우편번호 has 70 (41.7%) missing valuesMissing
지번주소 has 3 (1.8%) missing valuesMissing
도로명주소 has 81 (48.2%) missing valuesMissing
도로명우편번호 has 81 (48.2%) missing valuesMissing
업태구분명 has 168 (100.0%) missing valuesMissing
좌표정보(X) has 6 (3.6%) missing valuesMissing
좌표정보(Y) has 6 (3.6%) missing valuesMissing
건축물연면적 has 129 (76.8%) missing valuesMissing
세부업종명 has 168 (100.0%) missing valuesMissing
법인명 has 168 (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 30 (17.9%) zerosZeros

Reproduction

Analysis started2024-05-11 08:10:38.468148
Analysis finished2024-05-11 08:10:39.030160
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3010000
168 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 168
100.0%

Length

2024-05-11T17:10:39.087118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:39.185931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 168
100.0%

관리번호
Text

UNIQUE 

Distinct168
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-11T17:10:39.353045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3360
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

Unique168 ?
Unique (%)100.0%

Sample

1st rowCDFH3301061989000001
2nd rowCDFH3301061989000002
3rd rowCDFH3301061989000003
4th rowCDFH3301061989000004
5th rowCDFH3301061989000005
ValueCountFrequency (%)
cdfh3301061989000001 1
 
0.6%
cdfh3301062018000002 1
 
0.6%
cdfh3301062019000008 1
 
0.6%
cdfh3301062016000002 1
 
0.6%
cdfh3301062016000003 1
 
0.6%
cdfh3301062016000004 1
 
0.6%
cdfh3301062017000001 1
 
0.6%
cdfh3301062017000002 1
 
0.6%
cdfh3301062017000003 1
 
0.6%
cdfh3301062018000001 1
 
0.6%
Other values (158) 158
94.0%
2024-05-11T17:10:39.696876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1365
40.6%
3 384
 
11.4%
1 319
 
9.5%
2 219
 
6.5%
6 192
 
5.7%
C 168
 
5.0%
D 168
 
5.0%
F 168
 
5.0%
H 168
 
5.0%
9 101
 
3.0%
Other values (4) 108
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2688
80.0%
Uppercase Letter 672
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1365
50.8%
3 384
 
14.3%
1 319
 
11.9%
2 219
 
8.1%
6 192
 
7.1%
9 101
 
3.8%
4 35
 
1.3%
8 28
 
1.0%
5 23
 
0.9%
7 22
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
C 168
25.0%
D 168
25.0%
F 168
25.0%
H 168
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2688
80.0%
Latin 672
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1365
50.8%
3 384
 
14.3%
1 319
 
11.9%
2 219
 
8.1%
6 192
 
7.1%
9 101
 
3.8%
4 35
 
1.3%
8 28
 
1.0%
5 23
 
0.9%
7 22
 
0.8%
Latin
ValueCountFrequency (%)
C 168
25.0%
D 168
25.0%
F 168
25.0%
H 168
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1365
40.6%
3 384
 
11.4%
1 319
 
9.5%
2 219
 
6.5%
6 192
 
5.7%
C 168
 
5.0%
D 168
 
5.0%
F 168
 
5.0%
H 168
 
5.0%
9 101
 
3.0%
Other values (4) 108
 
3.2%

인허가일자
Date

Distinct161
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum1989-12-09 00:00:00
Maximum2024-04-25 00:00:00
2024-05-11T17:10:39.837665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:10:39.978567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
1
127 
3
40 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
1 127
75.6%
3 40
 
23.8%
4 1
 
0.6%

Length

2024-05-11T17:10:40.094975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:40.198877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 127
75.6%
3 40
 
23.8%
4 1
 
0.6%

영업상태명
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
영업/정상
127 
폐업
40 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.3392857
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 127
75.6%
폐업 40
 
23.8%
취소/말소/만료/정지/중지 1
 
0.6%

Length

2024-05-11T17:10:40.320892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:40.432752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 127
75.6%
폐업 40
 
23.8%
취소/말소/만료/정지/중지 1
 
0.6%

상세영업상태코드
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
13
127 
3
40 
35
 
1

Length

Max length2
Median length2
Mean length1.7619048
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
13 127
75.6%
3 40
 
23.8%
35 1
 
0.6%

Length

2024-05-11T17:10:40.541527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:40.638008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 127
75.6%
3 40
 
23.8%
35 1
 
0.6%

상세영업상태명
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
영업중
127 
폐업
40 
직권말소
 
1

Length

Max length4
Median length3
Mean length2.7678571
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 127
75.6%
폐업 40
 
23.8%
직권말소 1
 
0.6%

Length

2024-05-11T17:10:40.752574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:40.914978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 127
75.6%
폐업 40
 
23.8%
직권말소 1
 
0.6%

폐업일자
Date

MISSING 

Distinct39
Distinct (%)97.5%
Missing128
Missing (%)76.2%
Memory size1.4 KiB
Minimum1995-04-01 00:00:00
Maximum2023-02-17 00:00:00
2024-05-11T17:10:41.037308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:10:41.173874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

전화번호
Text

MISSING 

Distinct58
Distinct (%)100.0%
Missing110
Missing (%)65.5%
Memory size1.4 KiB
2024-05-11T17:10:41.395098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.362069
Min length8

Characters and Unicode

Total characters601
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

Unique58 ?
Unique (%)100.0%

Sample

1st row2266-5193
2nd row2238-2114
3rd row777-4280
4th row776-9893
5th row2128-6800
ValueCountFrequency (%)
02)393-6008 1
 
1.7%
02-2266-8247 1
 
1.7%
2233-3959 1
 
1.7%
02-2280-8000 1
 
1.7%
02-777-5011 1
 
1.7%
02-2233-2232 1
 
1.7%
02-2252-8861 1
 
1.7%
02-2038-0117 1
 
1.7%
02-2275-0776 1
 
1.7%
02-363-0452 1
 
1.7%
Other values (48) 48
82.8%
2024-05-11T17:10:41.766894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 129
21.5%
- 88
14.6%
0 83
13.8%
3 57
9.5%
7 46
 
7.7%
1 44
 
7.3%
8 37
 
6.2%
6 35
 
5.8%
9 31
 
5.2%
5 26
 
4.3%
Other values (2) 25
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 512
85.2%
Dash Punctuation 88
 
14.6%
Close Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 129
25.2%
0 83
16.2%
3 57
11.1%
7 46
 
9.0%
1 44
 
8.6%
8 37
 
7.2%
6 35
 
6.8%
9 31
 
6.1%
5 26
 
5.1%
4 24
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 601
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 129
21.5%
- 88
14.6%
0 83
13.8%
3 57
9.5%
7 46
 
7.7%
1 44
 
7.3%
8 37
 
6.2%
6 35
 
5.8%
9 31
 
5.2%
5 26
 
4.3%
Other values (2) 25
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 601
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 129
21.5%
- 88
14.6%
0 83
13.8%
3 57
9.5%
7 46
 
7.7%
1 44
 
7.3%
8 37
 
6.2%
6 35
 
5.8%
9 31
 
5.2%
5 26
 
4.3%
Other values (2) 25
 
4.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

소재지우편번호
Text

MISSING 

Distinct67
Distinct (%)68.4%
Missing70
Missing (%)41.7%
Memory size1.4 KiB
2024-05-11T17:10:41.999431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0612245
Min length6

Characters and Unicode

Total characters594
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

Unique48 ?
Unique (%)49.0%

Sample

1st row100858
2nd row100861
3rd row100874
4th row100871
5th row100021
ValueCountFrequency (%)
100450 5
 
5.1%
100809 4
 
4.1%
100330 3
 
3.1%
100281 3
 
3.1%
100859 3
 
3.1%
100101 3
 
3.1%
100861 3
 
3.1%
100021 3
 
3.1%
100874 3
 
3.1%
100804 2
 
2.0%
Other values (57) 66
67.3%
2024-05-11T17:10:42.358720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 246
41.4%
1 146
24.6%
8 58
 
9.8%
4 27
 
4.5%
5 23
 
3.9%
2 22
 
3.7%
9 21
 
3.5%
3 19
 
3.2%
6 13
 
2.2%
7 13
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 588
99.0%
Dash Punctuation 6
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 246
41.8%
1 146
24.8%
8 58
 
9.9%
4 27
 
4.6%
5 23
 
3.9%
2 22
 
3.7%
9 21
 
3.6%
3 19
 
3.2%
6 13
 
2.2%
7 13
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 594
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 246
41.4%
1 146
24.6%
8 58
 
9.8%
4 27
 
4.5%
5 23
 
3.9%
2 22
 
3.7%
9 21
 
3.5%
3 19
 
3.2%
6 13
 
2.2%
7 13
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 594
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 246
41.4%
1 146
24.6%
8 58
 
9.8%
4 27
 
4.5%
5 23
 
3.9%
2 22
 
3.7%
9 21
 
3.5%
3 19
 
3.2%
6 13
 
2.2%
7 13
 
2.2%

지번주소
Text

MISSING 

Distinct160
Distinct (%)97.0%
Missing3
Missing (%)1.8%
Memory size1.4 KiB
2024-05-11T17:10:42.713448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length37
Mean length23.824242
Min length12

Characters and Unicode

Total characters3931
Distinct characters191
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

Unique156 ?
Unique (%)94.5%

Sample

1st row서울특별시 중구 중림동 116번지
2nd row서울특별시 중구 충무로2가 61-3번지
3rd row서울특별시 중구 회현동1가 202-5번지
4th row서울특별시 중구 황학동 2487번지
5th row서울특별시 중구 명동1가 54-7번지
ValueCountFrequency (%)
서울특별시 165
21.2%
중구 165
21.2%
신당동 35
 
4.5%
황학동 11
 
1.4%
지하1층 8
 
1.0%
회현동1가 7
 
0.9%
중림동 7
 
0.9%
남대문로5가 6
 
0.8%
순화동 6
 
0.8%
산 5
 
0.6%
Other values (285) 365
46.8%
2024-05-11T17:10:43.153308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
741
18.9%
서 173
 
4.4%
중 172
 
4.4%
울 169
 
4.3%
시 168
 
4.3%
특 165
 
4.2%
별 165
 
4.2%
구 165
 
4.2%
1 162
 
4.1%
지 135
 
3.4%
Other values (181) 1716
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2365
60.2%
Space Separator 741
 
18.9%
Decimal Number 665
 
16.9%
Dash Punctuation 106
 
2.7%
Lowercase Letter 27
 
0.7%
Uppercase Letter 18
 
0.5%
Other Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 173
 
7.3%
중 172
 
7.3%
울 169
 
7.1%
시 168
 
7.1%
특 165
 
7.0%
별 165
 
7.0%
구 165
 
7.0%
지 135
 
5.7%
동 130
 
5.5%
번 107
 
4.5%
Other values (145) 816
34.5%
Lowercase Letter
ValueCountFrequency (%)
e 6
22.2%
n 5
18.5%
i 3
11.1%
a 3
11.1%
c 2
 
7.4%
t 2
 
7.4%
r 2
 
7.4%
l 1
 
3.7%
s 1
 
3.7%
h 1
 
3.7%
Decimal Number
ValueCountFrequency (%)
1 162
24.4%
2 109
16.4%
5 76
11.4%
3 75
11.3%
4 60
 
9.0%
0 45
 
6.8%
6 41
 
6.2%
7 39
 
5.9%
8 37
 
5.6%
9 21
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
A 4
22.2%
C 3
16.7%
F 2
11.1%
P 2
11.1%
B 2
11.1%
D 1
 
5.6%
M 1
 
5.6%
N 1
 
5.6%
E 1
 
5.6%
I 1
 
5.6%
Space Separator
ValueCountFrequency (%)
741
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 106
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2365
60.2%
Common 1521
38.7%
Latin 45
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 173
 
7.3%
중 172
 
7.3%
울 169
 
7.1%
시 168
 
7.1%
특 165
 
7.0%
별 165
 
7.0%
구 165
 
7.0%
지 135
 
5.7%
동 130
 
5.5%
번 107
 
4.5%
Other values (145) 816
34.5%
Latin
ValueCountFrequency (%)
e 6
13.3%
n 5
 
11.1%
A 4
 
8.9%
i 3
 
6.7%
a 3
 
6.7%
C 3
 
6.7%
F 2
 
4.4%
P 2
 
4.4%
B 2
 
4.4%
c 2
 
4.4%
Other values (11) 13
28.9%
Common
ValueCountFrequency (%)
741
48.7%
1 162
 
10.7%
2 109
 
7.2%
- 106
 
7.0%
5 76
 
5.0%
3 75
 
4.9%
4 60
 
3.9%
0 45
 
3.0%
6 41
 
2.7%
7 39
 
2.6%
Other values (5) 67
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2365
60.2%
ASCII 1566
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
741
47.3%
1 162
 
10.3%
2 109
 
7.0%
- 106
 
6.8%
5 76
 
4.9%
3 75
 
4.8%
4 60
 
3.8%
0 45
 
2.9%
6 41
 
2.6%
7 39
 
2.5%
Other values (26) 112
 
7.2%
Hangul
ValueCountFrequency (%)
서 173
 
7.3%
중 172
 
7.3%
울 169
 
7.1%
시 168
 
7.1%
특 165
 
7.0%
별 165
 
7.0%
구 165
 
7.0%
지 135
 
5.7%
동 130
 
5.5%
번 107
 
4.5%
Other values (145) 816
34.5%

도로명주소
Text

MISSING 

Distinct87
Distinct (%)100.0%
Missing81
Missing (%)48.2%
Memory size1.4 KiB
2024-05-11T17:10:43.372045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length42
Mean length33.045977
Min length21

Characters and Unicode

Total characters2875
Distinct characters208
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

Unique87 ?
Unique (%)100.0%

Sample

1st row서울특별시 중구 세종대로 135, 4층 (태평로1가, 코리아나호텔)
2nd row서울특별시 중구 무교로 16, 대한체육회 체육회관 (무교동)
3rd row서울특별시 중구 서소문로 115, 102~103호,한산빌딩 (서소문동)
4th row서울특별시 중구 퇴계로 97, 고려대연각타워 지하2층 (충무로1가)
5th row서울특별시 중구 장충단로 253, 헬로우APM (을지로6가)
ValueCountFrequency (%)
서울특별시 87
 
14.9%
중구 87
 
14.9%
신당동 26
 
4.5%
다산로 10
 
1.7%
퇴계로 10
 
1.7%
2층 9
 
1.5%
3층 8
 
1.4%
청계천로 7
 
1.2%
황학동 7
 
1.2%
지하1층 6
 
1.0%
Other values (244) 327
56.0%
2024-05-11T17:10:43.758173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
497
 
17.3%
로 105
 
3.7%
서 98
 
3.4%
중 92
 
3.2%
동 91
 
3.2%
시 90
 
3.1%
울 90
 
3.1%
) 90
 
3.1%
1 90
 
3.1%
( 90
 
3.1%
Other values (198) 1542
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1658
57.7%
Space Separator 497
 
17.3%
Decimal Number 395
 
13.7%
Close Punctuation 90
 
3.1%
Open Punctuation 90
 
3.1%
Other Punctuation 87
 
3.0%
Lowercase Letter 30
 
1.0%
Uppercase Letter 22
 
0.8%
Dash Punctuation 3
 
0.1%
Math Symbol 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 105
 
6.3%
서 98
 
5.9%
중 92
 
5.5%
동 91
 
5.5%
시 90
 
5.4%
울 90
 
5.4%
구 88
 
5.3%
특 87
 
5.2%
별 87
 
5.2%
층 45
 
2.7%
Other values (157) 785
47.3%
Lowercase Letter
ValueCountFrequency (%)
e 7
23.3%
n 5
16.7%
r 3
10.0%
a 3
10.0%
i 3
10.0%
c 2
 
6.7%
t 2
 
6.7%
s 1
 
3.3%
h 1
 
3.3%
l 1
 
3.3%
Other values (2) 2
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
B 4
18.2%
A 3
13.6%
C 3
13.6%
F 2
9.1%
D 2
9.1%
P 2
9.1%
J 1
 
4.5%
I 1
 
4.5%
M 1
 
4.5%
N 1
 
4.5%
Other values (2) 2
9.1%
Decimal Number
ValueCountFrequency (%)
1 90
22.8%
2 57
14.4%
3 51
12.9%
0 51
12.9%
4 38
9.6%
5 28
 
7.1%
8 21
 
5.3%
6 21
 
5.3%
7 20
 
5.1%
9 18
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 86
98.9%
? 1
 
1.1%
Space Separator
ValueCountFrequency (%)
497
100.0%
Close Punctuation
ValueCountFrequency (%)
) 90
100.0%
Open Punctuation
ValueCountFrequency (%)
( 90
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1658
57.7%
Common 1165
40.5%
Latin 52
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 105
 
6.3%
서 98
 
5.9%
중 92
 
5.5%
동 91
 
5.5%
시 90
 
5.4%
울 90
 
5.4%
구 88
 
5.3%
특 87
 
5.2%
별 87
 
5.2%
층 45
 
2.7%
Other values (157) 785
47.3%
Latin
ValueCountFrequency (%)
e 7
13.5%
n 5
 
9.6%
B 4
 
7.7%
r 3
 
5.8%
A 3
 
5.8%
C 3
 
5.8%
a 3
 
5.8%
i 3
 
5.8%
F 2
 
3.8%
c 2
 
3.8%
Other values (14) 17
32.7%
Common
ValueCountFrequency (%)
497
42.7%
) 90
 
7.7%
1 90
 
7.7%
( 90
 
7.7%
, 86
 
7.4%
2 57
 
4.9%
3 51
 
4.4%
0 51
 
4.4%
4 38
 
3.3%
5 28
 
2.4%
Other values (7) 87
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1658
57.7%
ASCII 1217
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
497
40.8%
) 90
 
7.4%
1 90
 
7.4%
( 90
 
7.4%
, 86
 
7.1%
2 57
 
4.7%
3 51
 
4.2%
0 51
 
4.2%
4 38
 
3.1%
5 28
 
2.3%
Other values (31) 139
 
11.4%
Hangul
ValueCountFrequency (%)
로 105
 
6.3%
서 98
 
5.9%
중 92
 
5.5%
동 91
 
5.5%
시 90
 
5.4%
울 90
 
5.4%
구 88
 
5.3%
특 87
 
5.2%
별 87
 
5.2%
층 45
 
2.7%
Other values (157) 785
47.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)66.7%
Missing81
Missing (%)48.2%
Infinite0
Infinite (%)0.0%
Mean12275.782
Minimum4501
Maximum100845
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T17:10:43.923796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4501
5-th percentile4513.3
Q14529
median4570
Q34595
95-th percentile100371
Maximum100845
Range96344
Interquartile range (IQR)66

Descriptive statistics

Standard deviation26236.491
Coefficient of variation (CV)2.1372562
Kurtosis8.0391953
Mean12275.782
Median Absolute Deviation (MAD)32
Skewness3.1392279
Sum1067993
Variance6.8835345 × 108
MonotonicityNot monotonic
2024-05-11T17:10:44.069928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4585 4
 
2.4%
4516 4
 
2.4%
4541 3
 
1.8%
4607 3
 
1.8%
4560 3
 
1.8%
4522 3
 
1.8%
4570 3
 
1.8%
4595 2
 
1.2%
4575 2
 
1.2%
4527 2
 
1.2%
Other values (48) 58
34.5%
(Missing) 81
48.2%
ValueCountFrequency (%)
4501 1
 
0.6%
4502 1
 
0.6%
4507 1
 
0.6%
4512 1
 
0.6%
4513 1
 
0.6%
4514 1
 
0.6%
4515 1
 
0.6%
4516 4
2.4%
4517 1
 
0.6%
4519 1
 
0.6%
ValueCountFrequency (%)
100845 1
0.6%
100721 1
0.6%
100451 1
0.6%
100450 1
0.6%
100440 1
0.6%
100210 1
0.6%
100101 1
0.6%
4635 1
0.6%
4631 1
0.6%
4627 1
0.6%

사업장명
Text

Distinct165
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-11T17:10:44.363050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length22
Mean length8.7380952
Min length2

Characters and Unicode

Total characters1468
Distinct characters269
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique162 ?
Unique (%)96.4%

Sample

1st row중앙헬스
2nd row세종체력단련장
3rd row제일헬스
4th row문화
5th row명동88헬스크럽
ValueCountFrequency (%)
휘트니스 11
 
3.8%
pt 7
 
2.4%
크로스핏 5
 
1.7%
피트니스 4
 
1.4%
studio 4
 
1.4%
파크짐 3
 
1.0%
gym 3
 
1.0%
스튜디오 3
 
1.0%
주식회사 3
 
1.0%
앤 3
 
1.0%
Other values (222) 243
84.1%
2024-05-11T17:10:44.798327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 130
 
8.9%
121
 
8.2%
트 46
 
3.1%
니 42
 
2.9%
헬 38
 
2.6%
휘 26
 
1.8%
럽 26
 
1.8%
클 24
 
1.6%
짐 23
 
1.6%
이 21
 
1.4%
Other values (259) 971
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1075
73.2%
Space Separator 121
 
8.2%
Uppercase Letter 110
 
7.5%
Lowercase Letter 84
 
5.7%
Decimal Number 24
 
1.6%
Close Punctuation 20
 
1.4%
Open Punctuation 19
 
1.3%
Other Punctuation 13
 
0.9%
Other Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 130
 
12.1%
트 46
 
4.3%
니 42
 
3.9%
헬 38
 
3.5%
휘 26
 
2.4%
럽 26
 
2.4%
클 24
 
2.2%
짐 23
 
2.1%
이 21
 
2.0%
주 17
 
1.6%
Other values (202) 682
63.4%
Uppercase Letter
ValueCountFrequency (%)
T 17
15.5%
P 16
14.5%
S 13
11.8%
A 7
 
6.4%
M 7
 
6.4%
G 6
 
5.5%
F 6
 
5.5%
Y 5
 
4.5%
I 4
 
3.6%
E 4
 
3.6%
Other values (13) 25
22.7%
Lowercase Letter
ValueCountFrequency (%)
e 10
11.9%
o 9
10.7%
i 9
10.7%
t 8
9.5%
u 7
8.3%
d 6
 
7.1%
s 5
 
6.0%
l 5
 
6.0%
n 5
 
6.0%
a 4
 
4.8%
Other values (10) 16
19.0%
Decimal Number
ValueCountFrequency (%)
2 6
25.0%
0 6
25.0%
8 4
16.7%
1 4
16.7%
3 2
 
8.3%
9 1
 
4.2%
4 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
& 8
61.5%
. 4
30.8%
, 1
 
7.7%
Space Separator
ValueCountFrequency (%)
121
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1077
73.4%
Common 197
 
13.4%
Latin 194
 
13.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 130
 
12.1%
트 46
 
4.3%
니 42
 
3.9%
헬 38
 
3.5%
휘 26
 
2.4%
럽 26
 
2.4%
클 24
 
2.2%
짐 23
 
2.1%
이 21
 
1.9%
주 17
 
1.6%
Other values (203) 684
63.5%
Latin
ValueCountFrequency (%)
T 17
 
8.8%
P 16
 
8.2%
S 13
 
6.7%
e 10
 
5.2%
o 9
 
4.6%
i 9
 
4.6%
t 8
 
4.1%
A 7
 
3.6%
M 7
 
3.6%
u 7
 
3.6%
Other values (33) 91
46.9%
Common
ValueCountFrequency (%)
121
61.4%
) 20
 
10.2%
( 19
 
9.6%
& 8
 
4.1%
2 6
 
3.0%
0 6
 
3.0%
. 4
 
2.0%
8 4
 
2.0%
1 4
 
2.0%
3 2
 
1.0%
Other values (3) 3
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1075
73.2%
ASCII 391
 
26.6%
None 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 130
 
12.1%
트 46
 
4.3%
니 42
 
3.9%
헬 38
 
3.5%
휘 26
 
2.4%
럽 26
 
2.4%
클 24
 
2.2%
짐 23
 
2.1%
이 21
 
2.0%
주 17
 
1.6%
Other values (202) 682
63.4%
ASCII
ValueCountFrequency (%)
121
30.9%
) 20
 
5.1%
( 19
 
4.9%
T 17
 
4.3%
P 16
 
4.1%
S 13
 
3.3%
e 10
 
2.6%
o 9
 
2.3%
i 9
 
2.3%
t 8
 
2.0%
Other values (46) 149
38.1%
None
ValueCountFrequency (%)
㈜ 2
100.0%

최종수정일자
Date

Distinct152
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2003-02-11 17:52:00
Maximum2024-04-25 17:59:33
2024-05-11T17:10:44.934817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:10:45.072524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
I
115 
U
53 

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 115
68.5%
U 53
31.5%

Length

2024-05-11T17:10:45.216591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:45.326769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 115
68.5%
u 53
31.5%

데이터갱신일자
Date

Distinct81
Distinct (%)48.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 22:07:00
2024-05-11T17:10:45.443381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:10:45.848446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct140
Distinct (%)86.4%
Missing6
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean199385.08
Minimum196655.58
Maximum202128.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T17:10:45.989387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196655.58
5-th percentile197156.14
Q1198061.33
median199112.56
Q3200826.39
95-th percentile201823.91
Maximum202128.14
Range5472.5551
Interquartile range (IQR)2765.0552

Descriptive statistics

Standard deviation1564.9674
Coefficient of variation (CV)0.0078489694
Kurtosis-1.319158
Mean199385.08
Median Absolute Deviation (MAD)1378.4745
Skewness0.15880174
Sum32300384
Variance2449123.1
MonotonicityNot monotonic
2024-05-11T17:10:46.118713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198744.433228989 4
 
2.4%
197395.761334091 3
 
1.8%
201823.908977364 3
 
1.8%
197963.789217064 3
 
1.8%
198619.38819773 3
 
1.8%
200750.455125653 3
 
1.8%
201508.033038745 2
 
1.2%
200193.232424569 2
 
1.2%
196655.581895878 2
 
1.2%
198129.435542814 2
 
1.2%
Other values (130) 135
80.4%
(Missing) 6
 
3.6%
ValueCountFrequency (%)
196655.581895878 2
1.2%
196823.64579836 1
0.6%
196864.942838297 1
0.6%
197034.02843741 1
0.6%
197098.710590401 1
0.6%
197133.181826761 1
0.6%
197134.048708388 1
0.6%
197155.375441346 1
0.6%
197170.729359403 1
0.6%
197220.244951952 1
0.6%
ValueCountFrequency (%)
202128.136971071 1
 
0.6%
201992.413564529 1
 
0.6%
201985.829607973 1
 
0.6%
201962.76537651 1
 
0.6%
201886.012293513 1
 
0.6%
201866.039519433 1
 
0.6%
201855.607887599 1
 
0.6%
201823.908977364 3
1.8%
201804.781229661 1
 
0.6%
201792.505387093 1
 
0.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct140
Distinct (%)86.4%
Missing6
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean451143.88
Minimum449638.82
Maximum452331.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T17:10:46.257472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum449638.82
5-th percentile450180.45
Q1450877.96
median451174.56
Q3451529.34
95-th percentile451807.94
Maximum452331.63
Range2692.8027
Interquartile range (IQR)651.38368

Descriptive statistics

Standard deviation533.26899
Coefficient of variation (CV)0.0011820375
Kurtosis0.23347679
Mean451143.88
Median Absolute Deviation (MAD)325.42001
Skewness-0.64523819
Sum73085308
Variance284375.82
MonotonicityNot monotonic
2024-05-11T17:10:46.394637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451677.065126229 4
 
2.4%
451285.616477562 3
 
1.8%
452076.818664092 3
 
1.8%
451793.816975812 3
 
1.8%
451135.740279961 3
 
1.8%
449638.824308081 3
 
1.8%
451026.785607118 2
 
1.2%
449809.744684888 2
 
1.2%
450746.19907568 2
 
1.2%
450900.239718295 2
 
1.2%
Other values (130) 135
80.4%
(Missing) 6
 
3.6%
ValueCountFrequency (%)
449638.824308081 3
1.8%
449809.744684888 2
1.2%
450100.127638921 1
 
0.6%
450103.32103304 1
 
0.6%
450153.784342829 1
 
0.6%
450180.019066426 1
 
0.6%
450188.654390401 1
 
0.6%
450204.222308908 1
 
0.6%
450277.600241968 2
1.2%
450284.36348544 1
 
0.6%
ValueCountFrequency (%)
452331.627042 1
 
0.6%
452076.818664092 3
1.8%
451945.75542127 1
 
0.6%
451869.587314453 1
 
0.6%
451862.158056298 1
 
0.6%
451817.515366883 1
 
0.6%
451808.048376715 1
 
0.6%
451805.845603 1
 
0.6%
451802.546064979 1
 
0.6%
451794.978191599 1
 
0.6%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
체력단련장업
128 
<NA>
40 

Length

Max length6
Median length6
Mean length5.5238095
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체력단련장업 128
76.2%
<NA> 40
 
23.8%

Length

2024-05-11T17:10:46.536824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:46.648230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체력단련장업 128
76.2%
na 40
 
23.8%

공사립구분명
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
사립
126 
<NA>
40 
공립
 
2

Length

Max length4
Median length2
Mean length2.4761905
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 126
75.0%
<NA> 40
 
23.8%
공립 2
 
1.2%

Length

2024-05-11T17:10:46.792796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:46.930891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 126
75.0%
na 40
 
23.8%
공립 2
 
1.2%

보험가입여부코드
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
125 
0
41 
Y
 
2

Length

Max length4
Median length4
Mean length3.2321429
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 125
74.4%
0 41
 
24.4%
Y 2
 
1.2%

Length

2024-05-11T17:10:47.052124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:47.194204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 125
74.4%
0 41
 
24.4%
y 2
 
1.2%

지도자수
Categorical

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
123 
0
28 
1
 
12
2
 
5

Length

Max length4
Median length4
Mean length3.1964286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 123
73.2%
0 28
 
16.7%
1 12
 
7.1%
2 5
 
3.0%

Length

2024-05-11T17:10:47.349983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:47.464962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 123
73.2%
0 28
 
16.7%
1 12
 
7.1%
2 5
 
3.0%

건축물동수
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
132 
0
31 
1
 
5

Length

Max length4
Median length4
Mean length3.3571429
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 132
78.6%
0 31
 
18.5%
1 5
 
3.0%

Length

2024-05-11T17:10:47.588889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:47.699147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 132
78.6%
0 31
 
18.5%
1 5
 
3.0%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)25.6%
Missing129
Missing (%)76.8%
Infinite0
Infinite (%)0.0%
Mean4432.3615
Minimum0
Maximum132792
Zeros30
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T17:10:47.794195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8417.5
Maximum132792
Range132792
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21696.764
Coefficient of variation (CV)4.8950799
Kurtosis34.577331
Mean4432.3615
Median Absolute Deviation (MAD)0
Skewness5.7883751
Sum172862.1
Variance4.7074956 × 108
MonotonicityNot monotonic
2024-05-11T17:10:47.910881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 30
 
17.9%
1773.27 1
 
0.6%
132792.0 1
 
0.6%
31354.0 1
 
0.6%
5869.0 1
 
0.6%
238.0 1
 
0.6%
357.71 1
 
0.6%
123.83 1
 
0.6%
298.65 1
 
0.6%
55.64 1
 
0.6%
(Missing) 129
76.8%
ValueCountFrequency (%)
0.0 30
17.9%
55.64 1
 
0.6%
123.83 1
 
0.6%
238.0 1
 
0.6%
298.65 1
 
0.6%
357.71 1
 
0.6%
1773.27 1
 
0.6%
5869.0 1
 
0.6%
31354.0 1
 
0.6%
132792.0 1
 
0.6%
ValueCountFrequency (%)
132792.0 1
 
0.6%
31354.0 1
 
0.6%
5869.0 1
 
0.6%
1773.27 1
 
0.6%
357.71 1
 
0.6%
298.65 1
 
0.6%
238.0 1
 
0.6%
123.83 1
 
0.6%
55.64 1
 
0.6%
0.0 30
17.9%

회원모집총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
162 
0
 
6

Length

Max length4
Median length4
Mean length3.8928571
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> 162
96.4%
0 6
 
3.6%

Length

2024-05-11T17:10:48.028454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:48.135439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 162
96.4%
0 6
 
3.6%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03010000CDFH330106198900000119891209<NA>3폐업3폐업20200311<NA><NA><NA><NA><NA>100858서울특별시 중구 중림동 116번지<NA><NA>중앙헬스2020-03-11 17:35:00U2020-03-13 02:40:00.0<NA>197170.729359450680.345971체력단련장업사립<NA>000.0<NA><NA><NA>
13010000CDFH330106198900000219891218<NA>3폐업3폐업19980918<NA><NA><NA><NA><NA>100861서울특별시 중구 충무로2가 61-3번지<NA><NA>세종체력단련장2003-02-11 17:52:00I2018-08-31 23:59:59.0<NA>198866.364917451021.050961체력단련장업사립<NA>000.0<NA><NA><NA>
23010000CDFH330106198900000319891219<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>100874서울특별시 중구 회현동1가 202-5번지<NA><NA>제일헬스2004-01-17 13:42:10I2018-08-31 23:59:59.0<NA>198162.211232450968.535506체력단련장업사립0<NA><NA><NA><NA><NA><NA>
33010000CDFH330106198900000419891220<NA>3폐업3폐업19990929<NA><NA><NA><NA><NA>100871서울특별시 중구 황학동 2487번지<NA><NA>문화2003-02-11 17:52:00I2018-08-31 23:59:59.0<NA>201962.765377451473.157996체력단련장업사립<NA>000.0<NA><NA><NA>
43010000CDFH330106198900000519891227<NA>3폐업3폐업19971103<NA><NA><NA><NA><NA>100021서울특별시 중구 명동1가 54-7번지<NA><NA>명동88헬스크럽2003-02-11 17:52:00I2018-08-31 23:59:59.0<NA>198499.522296451318.689749체력단련장업사립<NA>000.0<NA><NA><NA>
53010000CDFH330106198900000619891227<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>100080서울특별시 중구 북창동 70-1번지<NA><NA>왕성체육관2003-02-11 17:52:00I2018-08-31 23:59:59.0<NA>197947.537748451146.22347체력단련장업사립<NA>000.0<NA><NA><NA>
63010000CDFH330106198900000719891229<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>100806서울특별시 중구 남창동 168-7번지<NA><NA>삼일2004-08-26 10:07:25I2018-08-31 23:59:59.0<NA>197951.529012450599.807639체력단련장업사립0<NA><NA><NA><NA><NA><NA>
73010000CDFH330106198900000819891229<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>100281서울특별시 중구 인현동1가 46-3번지<NA><NA>매일온천2020-03-19 18:11:04U2020-03-21 02:40:00.0<NA>199402.469074451497.234575체력단련장업사립<NA>000.0<NA><NA><NA>
83010000CDFH330106198900000919891229<NA>3폐업3폐업19950401<NA><NA><NA><NA><NA>100330서울특별시 중구 주교동 7번지<NA><NA>골든2003-02-11 17:52:00I2018-08-31 23:59:59.0<NA>200047.150574451862.158056체력단련장업사립<NA>000.0<NA><NA><NA>
93010000CDFH330106199000000119900105<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>100857서울특별시 중구 장충동2가 산 5-5번지<NA><NA>(주)타워호텔2003-02-11 17:52:00I2018-08-31 23:59:59.0<NA>200193.232425449809.744685체력단련장업사립<NA>000.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
1583010000CDFH330106202200000820220927<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 다동 111 국제빌딩 지하1층서울특별시 중구 남대문로 109, 국제빌딩 (다동)4522주식회사 피트니스101 을지로2022-09-27 08:55:30I2021-12-08 22:09:00.0<NA>198365.141031451631.187646<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1593010000CDFH33010620220000092022-12-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 필동3가 18-3서울특별시 중구 서애로1길 10, 3층 (필동3가)4623러쉬클랜 PT 헬스2024-01-17 15:27:21U2023-11-30 23:09:00.0<NA>199795.443841450962.93107<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1603010000CDFH33010620230000012023-04-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 순화동 2-6 알라딘빌딩서울특별시 중구 서소문로 89-31, 알라딘빌딩 지하1?2층 (순화동)4516겟투잇 피트니스2023-04-20 17:42:16I2022-12-03 22:03:00.0<NA>197395.761334451285.616478<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1613010000CDFH33010620230000022023-05-12<NA>1영업/정상13영업중<NA><NA><NA><NA>0222314534<NA><NA>서울특별시 중구 신당동 368-19서울특별시 중구 다산로 107, 삼양빌딩 3층 (신당동)4598웰라이프 PT 스튜디오2023-05-12 16:50:14I2022-12-04 23:04:00.0<NA>200783.11959450153.784343<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1623010000CDFH33010620230000032023-07-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 남대문로3가 110서울특별시 중구 남대문로 39 (남대문로3가)4531한국은행 피트니스2024-03-21 09:44:53U2023-12-02 22:03:00.0<NA>198162.595386451097.082869<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1633010000CDFH33010620230000042023-10-11<NA>1영업/정상13영업중<NA><NA><NA><NA>02-729-4257<NA><NA>서울특별시 중구 장교동 1 한화빌딩서울특별시 중구 청계천로 86, 한화빌딩 28층 (장교동)4541무와 웰니스 랩2023-10-11 17:52:28I2022-10-30 23:03:00.0<NA>198744.433229451677.065126<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1643010000CDFH33010620230000052023-10-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 신당동 420-4 BIFA빌딩서울특별시 중구 동호로14길 47, BIFA빌딩 2층 (신당동)4607키네틱 피티 스튜디오2023-10-16 09:45:21I2022-10-30 23:08:00.0<NA>200783.135861450529.455447<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1653010000CDFH33010620240000012024-01-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 오장동 139-1서울특별시 중구 동호로 347, JD타워 지하 2층 1호 (오장동)4547엠씨티짐 충무로2024-01-08 08:55:28I2023-11-30 23:00:00.0<NA>200112.127301451452.285186<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1663010000CDFH33010620240000022024-03-15<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2233-6832<NA><NA>서울특별시 중구 광희동1가 216 광희빌딩서울특별시 중구 퇴계로 307, 광희빌딩 지하1층 (광희동1가)4560파크짐2024-03-15 17:05:44I2023-12-02 23:07:00.0<NA>200437.000174451335.718988<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1673010000CDFH33010620240000032024-04-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 신당동 291-47서울특별시 중구 다산로36길 20, 2층 (신당동)4586그로브짐2024-04-25 17:59:33I2023-12-03 22:07:00.0<NA>201364.924913451124.833991<NA><NA><NA><NA><NA><NA><NA><NA><NA>