Overview

Dataset statistics

Number of variables34
Number of observations189
Missing cells2228
Missing cells (%)34.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory54.0 KiB
Average record size in memory292.7 B

Variable types

Categorical11
Text6
DateTime3
Unsupported8
Numeric6

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
Author노원구
URLhttps://data.seoul.go.kr/dataList/OA-19862/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
건축물동수 is highly imbalanced (71.9%)Imbalance
인허가취소일자 has 189 (100.0%) missing valuesMissing
폐업일자 has 125 (66.1%) missing valuesMissing
휴업시작일자 has 189 (100.0%) missing valuesMissing
휴업종료일자 has 189 (100.0%) missing valuesMissing
재개업일자 has 189 (100.0%) missing valuesMissing
전화번호 has 72 (38.1%) missing valuesMissing
소재지면적 has 189 (100.0%) missing valuesMissing
소재지우편번호 has 94 (49.7%) missing valuesMissing
도로명주소 has 6 (3.2%) missing valuesMissing
도로명우편번호 has 71 (37.6%) missing valuesMissing
업태구분명 has 189 (100.0%) missing valuesMissing
좌표정보(X) has 3 (1.6%) missing valuesMissing
좌표정보(Y) has 3 (1.6%) missing valuesMissing
건축물연면적 has 168 (88.9%) missing valuesMissing
회원모집총인원 has 174 (92.1%) missing valuesMissing
세부업종명 has 189 (100.0%) missing valuesMissing
법인명 has 189 (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 14 (7.4%) zerosZeros
회원모집총인원 has 9 (4.8%) zerosZeros

Reproduction

Analysis started2024-05-11 06:05:48.113000
Analysis finished2024-05-11 06:05:49.080423
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
3100000
189 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3100000
2nd row3100000
3rd row3100000
4th row3100000
5th row3100000

Common Values

ValueCountFrequency (%)
3100000 189
100.0%

Length

2024-05-11T15:05:49.196346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:49.430694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3100000 189
100.0%

관리번호
Text

UNIQUE 

Distinct189
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-05-11T15:05:49.715690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3780
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

Unique189 ?
Unique (%)100.0%

Sample

1st rowCDFH3301061989000001
2nd rowCDFH3301061989000002
3rd rowCDFH3301061989000003
4th rowCDFH3301061989000004
5th rowCDFH3301061993000001
ValueCountFrequency (%)
cdfh3301061989000001 1
 
0.5%
cdfh3301062019000001 1
 
0.5%
cdfh3301062019000003 1
 
0.5%
cdfh3301062019000004 1
 
0.5%
cdfh3301062019000005 1
 
0.5%
cdfh3301062019000006 1
 
0.5%
cdfh3301062019000007 1
 
0.5%
cdfh3301062019000008 1
 
0.5%
cdfh3301062020000001 1
 
0.5%
cdfh3301062020000002 1
 
0.5%
Other values (179) 179
94.7%
2024-05-11T15:05:50.270984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1553
41.1%
3 439
 
11.6%
1 353
 
9.3%
2 296
 
7.8%
6 215
 
5.7%
C 189
 
5.0%
D 189
 
5.0%
F 189
 
5.0%
H 189
 
5.0%
9 54
 
1.4%
Other values (4) 114
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3024
80.0%
Uppercase Letter 756
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1553
51.4%
3 439
 
14.5%
1 353
 
11.7%
2 296
 
9.8%
6 215
 
7.1%
9 54
 
1.8%
4 44
 
1.5%
7 26
 
0.9%
5 23
 
0.8%
8 21
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
C 189
25.0%
D 189
25.0%
F 189
25.0%
H 189
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3024
80.0%
Latin 756
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1553
51.4%
3 439
 
14.5%
1 353
 
11.7%
2 296
 
9.8%
6 215
 
7.1%
9 54
 
1.8%
4 44
 
1.5%
7 26
 
0.9%
5 23
 
0.8%
8 21
 
0.7%
Latin
ValueCountFrequency (%)
C 189
25.0%
D 189
25.0%
F 189
25.0%
H 189
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3780
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1553
41.1%
3 439
 
11.6%
1 353
 
9.3%
2 296
 
7.8%
6 215
 
5.7%
C 189
 
5.0%
D 189
 
5.0%
F 189
 
5.0%
H 189
 
5.0%
9 54
 
1.4%
Other values (4) 114
 
3.0%

인허가일자
Date

Distinct181
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum1989-11-27 00:00:00
Maximum2024-04-09 00:00:00
2024-05-11T15:05:50.553642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:05:50.820418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing189
Missing (%)100.0%
Memory size1.8 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
1
124 
3
53 
4
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 124
65.6%
3 53
28.0%
4 12
 
6.3%

Length

2024-05-11T15:05:51.043288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:51.206701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 124
65.6%
3 53
28.0%
4 12
 
6.3%

영업상태명
Categorical

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
영업/정상
124 
폐업
53 
취소/말소/만료/정지/중지
 
12

Length

Max length14
Median length5
Mean length4.7301587
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 124
65.6%
폐업 53
28.0%
취소/말소/만료/정지/중지 12
 
6.3%

Length

2024-05-11T15:05:51.400645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:51.592032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 124
65.6%
폐업 53
28.0%
취소/말소/만료/정지/중지 12
 
6.3%

상세영업상태코드
Categorical

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
13
124 
3
53 
35
 
11
30
 
1

Length

Max length2
Median length2
Mean length1.7195767
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
13 124
65.6%
3 53
28.0%
35 11
 
5.8%
30 1
 
0.5%

Length

2024-05-11T15:05:51.832956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:52.033165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 124
65.6%
3 53
28.0%
35 11
 
5.8%
30 1
 
0.5%

상세영업상태명
Categorical

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
영업중
124 
폐업
53 
직권말소
 
11
허가취소
 
1

Length

Max length4
Median length3
Mean length2.7830688
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 124
65.6%
폐업 53
28.0%
직권말소 11
 
5.8%
허가취소 1
 
0.5%

Length

2024-05-11T15:05:52.256041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:52.476686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 124
65.6%
폐업 53
28.0%
직권말소 11
 
5.8%
허가취소 1
 
0.5%

폐업일자
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)79.7%
Missing125
Missing (%)66.1%
Infinite0
Infinite (%)0.0%
Mean20118166
Minimum19990910
Maximum20220823
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T15:05:52.689776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990910
5-th percentile20012172
Q120051205
median20130273
Q320190893
95-th percentile20201226
Maximum20220823
Range229913
Interquartile range (IQR)139688

Descriptive statistics

Standard deviation70146.695
Coefficient of variation (CV)0.003486734
Kurtosis-1.5125055
Mean20118166
Median Absolute Deviation (MAD)69934
Skewness-0.081610961
Sum1.2875627 × 109
Variance4.9205588 × 109
MonotonicityNot monotonic
2024-05-11T15:05:52.929657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200207 9
 
4.8%
20041210 4
 
2.1%
20160720 2
 
1.1%
20051230 2
 
1.1%
20201008 1
 
0.5%
20100414 1
 
0.5%
20191129 1
 
0.5%
20100106 1
 
0.5%
20050902 1
 
0.5%
20071116 1
 
0.5%
Other values (41) 41
 
21.7%
(Missing) 125
66.1%
ValueCountFrequency (%)
19990910 1
 
0.5%
20010324 1
 
0.5%
20010411 1
 
0.5%
20010716 1
 
0.5%
20020426 1
 
0.5%
20030825 1
 
0.5%
20031014 1
 
0.5%
20031029 1
 
0.5%
20041204 1
 
0.5%
20041210 4
2.1%
ValueCountFrequency (%)
20220823 1
 
0.5%
20220413 1
 
0.5%
20210114 1
 
0.5%
20201230 1
 
0.5%
20201202 1
 
0.5%
20201008 1
 
0.5%
20200207 9
4.8%
20191129 1
 
0.5%
20190814 1
 
0.5%
20190211 1
 
0.5%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing189
Missing (%)100.0%
Memory size1.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing189
Missing (%)100.0%
Memory size1.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing189
Missing (%)100.0%
Memory size1.8 KiB

전화번호
Text

MISSING 

Distinct116
Distinct (%)99.1%
Missing72
Missing (%)38.1%
Memory size1.6 KiB
2024-05-11T15:05:53.312682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.820513
Min length8

Characters and Unicode

Total characters1266
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

Unique115 ?
Unique (%)98.3%

Sample

1st row02-939-1188
2nd row02-972-6240
3rd row02-930-5614
4th row02-3391-1370
5th row02-952-6333
ValueCountFrequency (%)
02-995-2259 2
 
1.7%
3391-5210 1
 
0.9%
978-5222 1
 
0.9%
02-950-6688 1
 
0.9%
935-8151 1
 
0.9%
070-7619-7259 1
 
0.9%
02-976-5927 1
 
0.9%
02-971-3343 1
 
0.9%
02-3391-7772 1
 
0.9%
02-935-3375 1
 
0.9%
Other values (106) 106
90.6%
2024-05-11T15:05:53.826506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 220
17.4%
9 194
15.3%
0 190
15.0%
2 170
13.4%
3 120
9.5%
7 74
 
5.8%
1 73
 
5.8%
5 63
 
5.0%
6 62
 
4.9%
8 52
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1046
82.6%
Dash Punctuation 220
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 194
18.5%
0 190
18.2%
2 170
16.3%
3 120
11.5%
7 74
 
7.1%
1 73
 
7.0%
5 63
 
6.0%
6 62
 
5.9%
8 52
 
5.0%
4 48
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 220
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1266
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 220
17.4%
9 194
15.3%
0 190
15.0%
2 170
13.4%
3 120
9.5%
7 74
 
5.8%
1 73
 
5.8%
5 63
 
5.0%
6 62
 
4.9%
8 52
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1266
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 220
17.4%
9 194
15.3%
0 190
15.0%
2 170
13.4%
3 120
9.5%
7 74
 
5.8%
1 73
 
5.8%
5 63
 
5.0%
6 62
 
4.9%
8 52
 
4.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing189
Missing (%)100.0%
Memory size1.8 KiB

소재지우편번호
Text

MISSING 

Distinct56
Distinct (%)58.9%
Missing94
Missing (%)49.7%
Memory size1.6 KiB
2024-05-11T15:05:54.214077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0315789
Min length6

Characters and Unicode

Total characters573
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

Unique39 ?
Unique (%)41.1%

Sample

1st row139841
2nd row139050
3rd row139806
4th row139810
5th row139-201
ValueCountFrequency (%)
139816 8
 
8.4%
139832 6
 
6.3%
139860 5
 
5.3%
139800 4
 
4.2%
139804 4
 
4.2%
139810 3
 
3.2%
139872 3
 
3.2%
139846 3
 
3.2%
139861 3
 
3.2%
139821 3
 
3.2%
Other values (46) 53
55.8%
2024-05-11T15:05:54.782037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 128
22.3%
3 115
20.1%
9 105
18.3%
8 84
14.7%
0 45
 
7.9%
2 28
 
4.9%
6 27
 
4.7%
4 15
 
2.6%
7 14
 
2.4%
5 9
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 570
99.5%
Dash Punctuation 3
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 128
22.5%
3 115
20.2%
9 105
18.4%
8 84
14.7%
0 45
 
7.9%
2 28
 
4.9%
6 27
 
4.7%
4 15
 
2.6%
7 14
 
2.5%
5 9
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 573
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 128
22.3%
3 115
20.1%
9 105
18.3%
8 84
14.7%
0 45
 
7.9%
2 28
 
4.9%
6 27
 
4.7%
4 15
 
2.6%
7 14
 
2.4%
5 9
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 573
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 128
22.3%
3 115
20.1%
9 105
18.3%
8 84
14.7%
0 45
 
7.9%
2 28
 
4.9%
6 27
 
4.7%
4 15
 
2.6%
7 14
 
2.4%
5 9
 
1.6%

지번주소
Text

Distinct185
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-05-11T15:05:55.153568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length26.021164
Min length17

Characters and Unicode

Total characters4918
Distinct characters168
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

Unique181 ?
Unique (%)95.8%

Sample

1st row서울특별시 노원구 월계동 46-1번지
2nd row서울특별시 노원구 월계동 0-0번지 상업업무용지 411동 53호
3rd row서울특별시 노원구 공릉동 499-50번지
4th row서울특별시 노원구 상계동 95-316번지
5th row서울특별시 노원구 상계동 966-1 3층
ValueCountFrequency (%)
서울특별시 189
19.8%
노원구 189
19.8%
상계동 89
 
9.3%
공릉동 37
 
3.9%
중계동 31
 
3.3%
월계동 24
 
2.5%
3층 12
 
1.3%
5층 9
 
0.9%
2층 9
 
0.9%
하계동 9
 
0.9%
Other values (312) 355
37.3%
2024-05-11T15:05:55.722031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
880
 
17.9%
동 202
 
4.1%
원 198
 
4.0%
노 194
 
3.9%
서 191
 
3.9%
시 191
 
3.9%
구 191
 
3.9%
울 190
 
3.9%
특 189
 
3.8%
별 189
 
3.8%
Other values (158) 2303
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2924
59.5%
Decimal Number 933
 
19.0%
Space Separator 880
 
17.9%
Dash Punctuation 160
 
3.3%
Other Punctuation 8
 
0.2%
Close Punctuation 5
 
0.1%
Open Punctuation 5
 
0.1%
Uppercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 202
 
6.9%
원 198
 
6.8%
노 194
 
6.6%
서 191
 
6.5%
시 191
 
6.5%
구 191
 
6.5%
울 190
 
6.5%
특 189
 
6.5%
별 189
 
6.5%
계 160
 
5.5%
Other values (141) 1029
35.2%
Decimal Number
ValueCountFrequency (%)
1 155
16.6%
3 127
13.6%
2 118
12.6%
4 109
11.7%
6 93
10.0%
5 92
9.9%
7 65
7.0%
9 61
 
6.5%
8 57
 
6.1%
0 56
 
6.0%
Space Separator
ValueCountFrequency (%)
880
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 160
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2924
59.5%
Common 1992
40.5%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 202
 
6.9%
원 198
 
6.8%
노 194
 
6.6%
서 191
 
6.5%
시 191
 
6.5%
구 191
 
6.5%
울 190
 
6.5%
특 189
 
6.5%
별 189
 
6.5%
계 160
 
5.5%
Other values (141) 1029
35.2%
Common
ValueCountFrequency (%)
880
44.2%
- 160
 
8.0%
1 155
 
7.8%
3 127
 
6.4%
2 118
 
5.9%
4 109
 
5.5%
6 93
 
4.7%
5 92
 
4.6%
7 65
 
3.3%
9 61
 
3.1%
Other values (6) 132
 
6.6%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2924
59.5%
ASCII 1994
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
880
44.1%
- 160
 
8.0%
1 155
 
7.8%
3 127
 
6.4%
2 118
 
5.9%
4 109
 
5.5%
6 93
 
4.7%
5 92
 
4.6%
7 65
 
3.3%
9 61
 
3.1%
Other values (7) 134
 
6.7%
Hangul
ValueCountFrequency (%)
동 202
 
6.9%
원 198
 
6.8%
노 194
 
6.6%
서 191
 
6.5%
시 191
 
6.5%
구 191
 
6.5%
울 190
 
6.5%
특 189
 
6.5%
별 189
 
6.5%
계 160
 
5.5%
Other values (141) 1029
35.2%

도로명주소
Text

MISSING 

Distinct183
Distinct (%)100.0%
Missing6
Missing (%)3.2%
Memory size1.6 KiB
2024-05-11T15:05:56.468911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length47
Mean length34.038251
Min length23

Characters and Unicode

Total characters6229
Distinct characters181
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

Unique183 ?
Unique (%)100.0%

Sample

1st row서울특별시 노원구 화랑로 337 (월계동)
2nd row서울특별시 노원구 동일로 1056 (공릉동)
3rd row서울특별시 노원구 덕릉로 746 (상계동)
4th row서울특별시 노원구 동일로 1596 (상계동,3층)
5th row서울특별시 노원구 노원로26길 181 (상계동,6층)
ValueCountFrequency (%)
서울특별시 183
 
15.5%
노원구 183
 
15.5%
상계동 63
 
5.3%
동일로 35
 
3.0%
공릉동 23
 
2.0%
2층 20
 
1.7%
지하1층 19
 
1.6%
중계동 17
 
1.4%
4층 15
 
1.3%
월계동 15
 
1.3%
Other values (394) 605
51.4%
2024-05-11T15:05:56.994912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1031
 
16.6%
동 259
 
4.2%
, 237
 
3.8%
노 210
 
3.4%
1 206
 
3.3%
원 205
 
3.3%
계 190
 
3.1%
( 186
 
3.0%
) 186
 
3.0%
서 185
 
3.0%
Other values (171) 3334
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3535
56.8%
Space Separator 1031
 
16.6%
Decimal Number 1013
 
16.3%
Other Punctuation 237
 
3.8%
Open Punctuation 186
 
3.0%
Close Punctuation 186
 
3.0%
Uppercase Letter 21
 
0.3%
Dash Punctuation 16
 
0.3%
Math Symbol 3
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 259
 
7.3%
노 210
 
5.9%
원 205
 
5.8%
계 190
 
5.4%
서 185
 
5.2%
시 185
 
5.2%
울 184
 
5.2%
로 183
 
5.2%
구 183
 
5.2%
별 183
 
5.2%
Other values (147) 1568
44.4%
Decimal Number
ValueCountFrequency (%)
1 206
20.3%
2 154
15.2%
3 126
12.4%
4 114
11.3%
5 92
9.1%
0 90
8.9%
7 62
 
6.1%
6 61
 
6.0%
8 55
 
5.4%
9 53
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
B 15
71.4%
A 1
 
4.8%
T 1
 
4.8%
I 1
 
4.8%
P 1
 
4.8%
E 1
 
4.8%
S 1
 
4.8%
Space Separator
ValueCountFrequency (%)
1031
100.0%
Other Punctuation
ValueCountFrequency (%)
, 237
100.0%
Open Punctuation
ValueCountFrequency (%)
( 186
100.0%
Close Punctuation
ValueCountFrequency (%)
) 186
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
n 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3535
56.8%
Common 2672
42.9%
Latin 22
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 259
 
7.3%
노 210
 
5.9%
원 205
 
5.8%
계 190
 
5.4%
서 185
 
5.2%
시 185
 
5.2%
울 184
 
5.2%
로 183
 
5.2%
구 183
 
5.2%
별 183
 
5.2%
Other values (147) 1568
44.4%
Common
ValueCountFrequency (%)
1031
38.6%
, 237
 
8.9%
1 206
 
7.7%
( 186
 
7.0%
) 186
 
7.0%
2 154
 
5.8%
3 126
 
4.7%
4 114
 
4.3%
5 92
 
3.4%
0 90
 
3.4%
Other values (6) 250
 
9.4%
Latin
ValueCountFrequency (%)
B 15
68.2%
A 1
 
4.5%
T 1
 
4.5%
I 1
 
4.5%
P 1
 
4.5%
E 1
 
4.5%
n 1
 
4.5%
S 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3535
56.8%
ASCII 2694
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1031
38.3%
, 237
 
8.8%
1 206
 
7.6%
( 186
 
6.9%
) 186
 
6.9%
2 154
 
5.7%
3 126
 
4.7%
4 114
 
4.2%
5 92
 
3.4%
0 90
 
3.3%
Other values (14) 272
 
10.1%
Hangul
ValueCountFrequency (%)
동 259
 
7.3%
노 210
 
5.9%
원 205
 
5.8%
계 190
 
5.4%
서 185
 
5.2%
시 185
 
5.2%
울 184
 
5.2%
로 183
 
5.2%
구 183
 
5.2%
별 183
 
5.2%
Other values (147) 1568
44.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct79
Distinct (%)66.9%
Missing71
Missing (%)37.6%
Infinite0
Infinite (%)0.0%
Mean5259.5
Minimum1604
Maximum139942
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T15:05:57.167265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1604
5-th percentile1615.4
Q11679.5
median1744
Q31834
95-th percentile1904
Maximum139942
Range138338
Interquartile range (IQR)154.5

Descriptive statistics

Standard deviation21835.534
Coefficient of variation (CV)4.1516369
Kurtosis35.912404
Mean5259.5
Median Absolute Deviation (MAD)72.5
Skewness6.1076374
Sum620621
Variance4.7679056 × 108
MonotonicityNot monotonic
2024-05-11T15:05:57.342686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1695 7
 
3.7%
1693 6
 
3.2%
1620 5
 
2.6%
1762 4
 
2.1%
1779 3
 
1.6%
1849 3
 
1.6%
1679 3
 
1.6%
1763 2
 
1.1%
1904 2
 
1.1%
1834 2
 
1.1%
Other values (69) 81
42.9%
(Missing) 71
37.6%
ValueCountFrequency (%)
1604 1
 
0.5%
1605 1
 
0.5%
1607 1
 
0.5%
1608 1
 
0.5%
1611 1
 
0.5%
1612 1
 
0.5%
1616 1
 
0.5%
1617 1
 
0.5%
1620 5
2.6%
1637 1
 
0.5%
ValueCountFrequency (%)
139942 1
0.5%
139872 1
0.5%
139816 1
0.5%
1914 1
0.5%
1913 1
0.5%
1904 2
1.1%
1895 1
0.5%
1894 1
0.5%
1893 1
0.5%
1891 2
1.1%

사업장명
Text

Distinct185
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-05-11T15:05:57.787243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length19
Mean length7.984127
Min length2

Characters and Unicode

Total characters1509
Distinct characters266
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique181 ?
Unique (%)95.8%

Sample

1st row석계헬스크럽
2nd row성북헬스크럽
3rd row충용헬스크럽
4th row상계헬스크럽
5th row레몬핏휘트니스
ValueCountFrequency (%)
휘트니스 10
 
3.4%
pt 7
 
2.4%
피트니스 4
 
1.4%
노원역점 4
 
1.4%
스튜디오 4
 
1.4%
스포애니 3
 
1.0%
공릉점 3
 
1.0%
크로스핏 3
 
1.0%
트레이닝 3
 
1.0%
gym 3
 
1.0%
Other values (229) 248
84.9%
2024-05-11T15:05:58.471643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 131
 
8.7%
103
 
6.8%
헬 50
 
3.3%
트 49
 
3.2%
짐 44
 
2.9%
니 43
 
2.8%
휘 31
 
2.1%
이 29
 
1.9%
럽 26
 
1.7%
핏 22
 
1.5%
Other values (256) 981
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1156
76.6%
Uppercase Letter 132
 
8.7%
Space Separator 103
 
6.8%
Lowercase Letter 75
 
5.0%
Close Punctuation 13
 
0.9%
Open Punctuation 12
 
0.8%
Other Punctuation 12
 
0.8%
Decimal Number 6
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 131
 
11.3%
헬 50
 
4.3%
트 49
 
4.2%
짐 44
 
3.8%
니 43
 
3.7%
휘 31
 
2.7%
이 29
 
2.5%
럽 26
 
2.2%
핏 22
 
1.9%
점 22
 
1.9%
Other values (200) 709
61.3%
Uppercase Letter
ValueCountFrequency (%)
T 18
13.6%
P 14
 
10.6%
S 12
 
9.1%
F 9
 
6.8%
I 9
 
6.8%
G 7
 
5.3%
Y 7
 
5.3%
N 6
 
4.5%
E 6
 
4.5%
A 5
 
3.8%
Other values (14) 39
29.5%
Lowercase Letter
ValueCountFrequency (%)
e 10
13.3%
n 8
10.7%
i 7
 
9.3%
o 6
 
8.0%
y 5
 
6.7%
t 5
 
6.7%
r 4
 
5.3%
m 4
 
5.3%
a 4
 
5.3%
s 4
 
5.3%
Other values (11) 18
24.0%
Decimal Number
ValueCountFrequency (%)
2 2
33.3%
4 1
16.7%
0 1
16.7%
1 1
16.7%
5 1
16.7%
Other Punctuation
ValueCountFrequency (%)
& 7
58.3%
. 4
33.3%
, 1
 
8.3%
Space Separator
ValueCountFrequency (%)
103
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1156
76.6%
Latin 207
 
13.7%
Common 146
 
9.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 131
 
11.3%
헬 50
 
4.3%
트 49
 
4.2%
짐 44
 
3.8%
니 43
 
3.7%
휘 31
 
2.7%
이 29
 
2.5%
럽 26
 
2.2%
핏 22
 
1.9%
점 22
 
1.9%
Other values (200) 709
61.3%
Latin
ValueCountFrequency (%)
T 18
 
8.7%
P 14
 
6.8%
S 12
 
5.8%
e 10
 
4.8%
F 9
 
4.3%
I 9
 
4.3%
n 8
 
3.9%
i 7
 
3.4%
G 7
 
3.4%
Y 7
 
3.4%
Other values (35) 106
51.2%
Common
ValueCountFrequency (%)
103
70.5%
) 13
 
8.9%
( 12
 
8.2%
& 7
 
4.8%
. 4
 
2.7%
2 2
 
1.4%
, 1
 
0.7%
4 1
 
0.7%
0 1
 
0.7%
1 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1156
76.6%
ASCII 353
 
23.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 131
 
11.3%
헬 50
 
4.3%
트 49
 
4.2%
짐 44
 
3.8%
니 43
 
3.7%
휘 31
 
2.7%
이 29
 
2.5%
럽 26
 
2.2%
핏 22
 
1.9%
점 22
 
1.9%
Other values (200) 709
61.3%
ASCII
ValueCountFrequency (%)
103
29.2%
T 18
 
5.1%
P 14
 
4.0%
) 13
 
3.7%
S 12
 
3.4%
( 12
 
3.4%
e 10
 
2.8%
F 9
 
2.5%
I 9
 
2.5%
n 8
 
2.3%
Other values (46) 145
41.1%

최종수정일자
Date

Distinct185
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2003-02-21 10:29:10
Maximum2024-04-29 17:11:58
2024-05-11T15:05:58.805482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:05:58.980466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
I
105 
U
84 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 105
55.6%
U 84
44.4%

Length

2024-05-11T15:05:59.202561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:59.386170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 105
55.6%
u 84
44.4%

데이터갱신일자
Date

Distinct109
Distinct (%)57.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:01:00
2024-05-11T15:05:59.613104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:05:59.913516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing189
Missing (%)100.0%
Memory size1.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct164
Distinct (%)88.2%
Missing3
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean205943.17
Minimum204596.63
Maximum207794.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T15:06:00.227209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum204596.63
5-th percentile204783.77
Q1205368.39
median205795.2
Q3206615.41
95-th percentile207014.85
Maximum207794.26
Range3197.6302
Interquartile range (IQR)1247.02

Descriptive statistics

Standard deviation740.1182
Coefficient of variation (CV)0.0035937982
Kurtosis-0.94998235
Mean205943.17
Median Absolute Deviation (MAD)607.54818
Skewness0.14925781
Sum38305430
Variance547774.95
MonotonicityNot monotonic
2024-05-11T15:06:00.494252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
206406.483118126 3
 
1.6%
205920.87114808 2
 
1.1%
204956.84289123 2
 
1.1%
205036.765287976 2
 
1.1%
205540.505213317 2
 
1.1%
205557.013355638 2
 
1.1%
205702.033939477 2
 
1.1%
204765.755552308 2
 
1.1%
205310.199521657 2
 
1.1%
205953.043735981 2
 
1.1%
Other values (154) 165
87.3%
(Missing) 3
 
1.6%
ValueCountFrequency (%)
204596.628767814 1
0.5%
204639.661195599 1
0.5%
204644.864595982 1
0.5%
204670.573678123 1
0.5%
204758.605376532 1
0.5%
204765.535085947 1
0.5%
204765.755552308 2
1.1%
204772.367380466 1
0.5%
204783.774148 2
1.1%
204790.424786507 1
0.5%
ValueCountFrequency (%)
207794.259011921 2
1.1%
207382.703099595 1
0.5%
207311.175792021 1
0.5%
207254.060871726 1
0.5%
207190.787762259 1
0.5%
207149.521057387 1
0.5%
207084.29098881 1
0.5%
207052.539086651 1
0.5%
207019.727340232 1
0.5%
207000.210920279 1
0.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct164
Distinct (%)88.2%
Missing3
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean460419.04
Minimum456925.09
Maximum464080.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T15:06:00.750585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum456925.09
5-th percentile457366.94
Q1458359.62
median460939.31
Q3461845.27
95-th percentile463183.43
Maximum464080.59
Range7155.5
Interquartile range (IQR)3485.6508

Descriptive statistics

Standard deviation1963.6146
Coefficient of variation (CV)0.0042648422
Kurtosis-1.1909479
Mean460419.04
Median Absolute Deviation (MAD)1476.0461
Skewness-0.19495785
Sum85637942
Variance3855782.2
MonotonicityNot monotonic
2024-05-11T15:06:01.108964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
459684.700181354 3
 
1.6%
459040.420031177 2
 
1.1%
462666.734307761 2
 
1.1%
458534.558853124 2
 
1.1%
461588.442056202 2
 
1.1%
461441.687971047 2
 
1.1%
461480.985689113 2
 
1.1%
463871.943605684 2
 
1.1%
457885.073868401 2
 
1.1%
459822.608944797 2
 
1.1%
Other values (154) 165
87.3%
(Missing) 3
 
1.6%
ValueCountFrequency (%)
456925.093871139 1
0.5%
456954.147370611 1
0.5%
456975.436848678 1
0.5%
456996.048176249 1
0.5%
457003.268496842 1
0.5%
457018.943974424 1
0.5%
457023.189628987 1
0.5%
457275.799282625 1
0.5%
457357.219230872 1
0.5%
457358.731978332 1
0.5%
ValueCountFrequency (%)
464080.593904719 1
0.5%
464003.782684071 1
0.5%
463943.786866443 1
0.5%
463871.943605684 2
1.1%
463696.095474742 2
1.1%
463601.518439954 1
0.5%
463485.173965159 1
0.5%
463189.712552985 1
0.5%
463164.59843748 1
0.5%
463160.287502488 1
0.5%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
체력단련장업
130 
<NA>
59 

Length

Max length6
Median length6
Mean length5.3756614
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체력단련장업 130
68.8%
<NA> 59
31.2%

Length

2024-05-11T15:06:01.384283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:06:01.571652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체력단련장업 130
68.8%
na 59
31.2%

공사립구분명
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
사립
130 
<NA>
59 

Length

Max length4
Median length2
Mean length2.6243386
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 130
68.8%
<NA> 59
31.2%

Length

2024-05-11T15:06:01.785644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:06:02.016469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 130
68.8%
na 59
31.2%

보험가입여부코드
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
166 
0
23 

Length

Max length4
Median length4
Mean length3.6349206
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 166
87.8%
0 23
 
12.2%

Length

2024-05-11T15:06:02.251440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:06:02.471590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 166
87.8%
0 23
 
12.2%

지도자수
Categorical

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
138 
1
28 
0
 
12
2
 
11

Length

Max length4
Median length4
Mean length3.1904762
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 138
73.0%
1 28
 
14.8%
0 12
 
6.3%
2 11
 
5.8%

Length

2024-05-11T15:06:02.679523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:06:02.887011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 138
73.0%
1 28
 
14.8%
0 12
 
6.3%
2 11
 
5.8%

건축물동수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
174 
0
 
13
1
 
2

Length

Max length4
Median length4
Mean length3.7619048
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 174
92.1%
0 13
 
6.9%
1 2
 
1.1%

Length

2024-05-11T15:06:03.114266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:06:03.368994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 174
92.1%
0 13
 
6.9%
1 2
 
1.1%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)38.1%
Missing168
Missing (%)88.9%
Infinite0
Infinite (%)0.0%
Mean1115.9124
Minimum0
Maximum16456.76
Zeros14
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T15:06:03.551074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3457.4
95-th percentile3791.89
Maximum16456.76
Range16456.76
Interquartile range (IQR)457.4

Descriptive statistics

Standard deviation3616.6052
Coefficient of variation (CV)3.2409401
Kurtosis18.386909
Mean1115.9124
Median Absolute Deviation (MAD)0
Skewness4.2159593
Sum23434.16
Variance13079833
MonotonicityNot monotonic
2024-05-11T15:06:03.762398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 14
 
7.4%
457.4 1
 
0.5%
539.65 1
 
0.5%
1137.7 1
 
0.5%
839.15 1
 
0.5%
16456.76 1
 
0.5%
211.61 1
 
0.5%
3791.89 1
 
0.5%
(Missing) 168
88.9%
ValueCountFrequency (%)
0.0 14
7.4%
211.61 1
 
0.5%
457.4 1
 
0.5%
539.65 1
 
0.5%
839.15 1
 
0.5%
1137.7 1
 
0.5%
3791.89 1
 
0.5%
16456.76 1
 
0.5%
ValueCountFrequency (%)
16456.76 1
 
0.5%
3791.89 1
 
0.5%
1137.7 1
 
0.5%
839.15 1
 
0.5%
539.65 1
 
0.5%
457.4 1
 
0.5%
211.61 1
 
0.5%
0.0 14
7.4%

회원모집총인원
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)46.7%
Missing174
Missing (%)92.1%
Infinite0
Infinite (%)0.0%
Mean99
Minimum0
Maximum1000
Zeros9
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T15:06:03.978639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q365
95-th percentile440
Maximum1000
Range1000
Interquartile range (IQR)65

Descriptive statistics

Standard deviation257.23947
Coefficient of variation (CV)2.5983784
Kurtosis12.796704
Mean99
Median Absolute Deviation (MAD)0
Skewness3.4991894
Sum1485
Variance66172.143
MonotonicityNot monotonic
2024-05-11T15:06:04.176657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 9
 
4.8%
150 1
 
0.5%
200 1
 
0.5%
100 1
 
0.5%
30 1
 
0.5%
5 1
 
0.5%
1000 1
 
0.5%
(Missing) 174
92.1%
ValueCountFrequency (%)
0 9
4.8%
5 1
 
0.5%
30 1
 
0.5%
100 1
 
0.5%
150 1
 
0.5%
200 1
 
0.5%
1000 1
 
0.5%
ValueCountFrequency (%)
1000 1
 
0.5%
200 1
 
0.5%
150 1
 
0.5%
100 1
 
0.5%
30 1
 
0.5%
5 1
 
0.5%
0 9
4.8%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing189
Missing (%)100.0%
Memory size1.8 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing189
Missing (%)100.0%
Memory size1.8 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03100000CDFH330106198900000119891127<NA>3폐업3폐업20031014<NA><NA><NA><NA><NA>139841서울특별시 노원구 월계동 46-1번지서울특별시 노원구 화랑로 337 (월계동)<NA>석계헬스크럽2005-09-22 15:36:20I2018-08-31 23:59:59.0<NA>205680.75386456996.048176체력단련장업사립0<NA><NA><NA><NA><NA><NA>
13100000CDFH330106198900000219891207<NA>3폐업3폐업19990910<NA><NA><NA><NA><NA>139050서울특별시 노원구 월계동 0-0번지 상업업무용지 411동 53호<NA><NA>성북헬스크럽2003-02-21 10:29:10I2018-08-31 23:59:59.0<NA><NA><NA>체력단련장업사립<NA>000.0<NA><NA><NA>
23100000CDFH330106198900000319891221<NA>3폐업3폐업20020426<NA><NA><NA><NA><NA>139806서울특별시 노원구 공릉동 499-50번지서울특별시 노원구 동일로 1056 (공릉동)<NA>충용헬스크럽2003-02-21 10:29:10I2018-08-31 23:59:59.0<NA>206434.632753458005.384623체력단련장업사립<NA>000.0<NA><NA><NA>
33100000CDFH330106198900000419891231<NA>3폐업3폐업20010324<NA><NA><NA><NA><NA>139810서울특별시 노원구 상계동 95-316번지서울특별시 노원구 덕릉로 746 (상계동)<NA>상계헬스크럽2003-02-21 10:29:10I2018-08-31 23:59:59.0<NA>206692.95279462402.754873체력단련장업사립<NA>000.0<NA><NA><NA>
43100000CDFH33010619930000011993-12-10<NA>1영업/정상13영업중<NA><NA><NA><NA>02-939-1188<NA>139-201서울특별시 노원구 상계동 966-1 3층서울특별시 노원구 동일로 1596 (상계동,3층)<NA>레몬핏휘트니스2023-06-16 16:13:09U2022-12-05 23:08:00.0<NA>204930.61882463164.598437<NA><NA><NA><NA><NA><NA><NA><NA><NA>
53100000CDFH330106199300000219931213<NA>3폐업3폐업20010716<NA><NA><NA><NA><NA>139816서울특별시 노원구 상계동 387-225번지 6층서울특별시 노원구 노원로26길 181 (상계동,6층)<NA>청자헬스크럽2003-02-21 10:29:10I2018-08-31 23:59:59.0<NA>206222.212322461745.789972체력단련장업사립<NA>000.0<NA><NA><NA>
63100000CDFH330106199400000119940514<NA>3폐업3폐업20041210<NA><NA><NA><NA><NA>139846서울특별시 노원구 월계동 406-0번지 준빌딩4층서울특별시 노원구 광운로 44 (월계동,준빌딩4층)<NA>보람헬스체육관2005-09-22 14:38:08I2018-08-31 23:59:59.0<NA>205184.615289457670.095648체력단련장업사립0<NA><NA><NA><NA><NA><NA>
73100000CDFH330106199400000219941123<NA>3폐업3폐업20061025<NA><NA><NA>02-972-6240<NA>139806서울특별시 노원구 공릉동 494-17번지 영운빌딩 3층서울특별시 노원구 동일로 1051 (공릉동,영운빌딩 3층)<NA>파워짐2006-10-26 12:40:25I2018-08-31 23:59:59.0<NA>206395.394853457941.874982체력단련장업사립0<NA><NA><NA><NA><NA><NA>
83100000CDFH330106199400000319941229<NA>3폐업3폐업20030825<NA><NA><NA><NA><NA>139860서울특별시 노원구 중계동 360-14번지 8층(이진프라자)서울특별시 노원구 한글비석로 227 (중계동,8층(이진프라자))<NA>중계남여헬스타운2005-09-22 15:36:39I2018-08-31 23:59:59.0<NA>206661.960245460616.888499체력단련장업사립0<NA><NA><NA><NA><NA><NA>
93100000CDFH330106199600000119960607<NA>3폐업3폐업20070801<NA><NA><NA>02-930-5614<NA>139830서울특별시 노원구 상계동 735-6번지 한영빌딩5층서울특별시 노원구 동일로217가길 23 (상계동,한영빌딩5층)<NA>헬스탑2007-08-01 15:17:14I2018-08-31 23:59:59.0<NA>205141.972066461212.530768체력단련장업사립0<NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
1793100000CDFH33010620230000132023-08-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 456 파인트리학원서울특별시 노원구 한글비석로52길 26, 파인트리학원 B1층 (상계동)1655마이피트니스 상계보람점2023-08-11 17:54:38I2022-12-07 23:03:00.0<NA>205804.628662462582.645815<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1803100000CDFH33010620230000142023-09-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 하계동 251-4 인정빌딩서울특별시 노원구 노원로 257, 인정빌딩 9층 901호 (하계동)1791플라이짐2023-09-10 15:57:16I2022-12-08 23:02:00.0<NA>206350.493353459768.681704<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1813100000CDFH33010620230000152023-09-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 하계동 273 장미아파트서울특별시 노원구 섬밭로 196, 2층 209,210,211호 (하계동, 장미아파트)1863유스짐2023-09-20 12:13:45I2022-12-08 22:02:00.0<NA>205920.871148459040.420031<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1823100000CDFH33010620230000162023-10-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 389-329서울특별시 노원구 상계로9가길 59, B1층 (상계동)1681두더짐2023-10-16 19:58:24I2022-10-30 23:08:00.0<NA>205981.182014461976.250338<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1833100000CDFH33010620230000172023-10-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 140-207서울특별시 노원구 한글비석로24길 83, B1층 (상계동)1660아싸짐2023-10-19 17:25:06I2022-10-30 22:01:00.0<NA>206475.361242462395.424933<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1843100000CDFH33010620230000182023-12-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 월계동 411-4 북부농협서울특별시 노원구 석계로 101, 북부농협 3,4층 (월계동)1893oneday PT2023-12-21 14:12:01I2022-11-01 22:03:00.0<NA>205310.063357457840.973534<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1853100000CDFH33010620230000192023-12-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 649-3 세일빌딩서울특별시 노원구 동일로 1548, 세일빌딩 B1층 (상계동)1674크로스핏 오늘2023-12-26 09:04:33I2022-11-01 22:08:00.0<NA>205016.837867462699.373424<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1863100000CDFH33010620240000012024-01-12<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3392-6376<NA><NA>서울특별시 노원구 상계동 456-131서울특별시 노원구 한글비석로52길 12, B1층 (상계동)1655와일드짐2024-01-12 18:02:46I2023-11-30 23:04:00.0<NA>205795.877282462512.597341<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1873100000CDFH33010620240000022024-01-30<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6958-5622<NA><NA>서울특별시 노원구 상계동 335 정암빌딩서울특별시 노원구 상계로 76, 정암빌딩 B1층 (상계동)1695리핏트레이닝센터 PT 노원역점2024-04-29 17:11:58U2023-12-05 00:01:00.0<NA>205530.727606461528.000009<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1883100000CDFH33010620240000032024-04-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 456-26 이레빌딩서울특별시 노원구 한글비석로49길 63, 이레빌딩 B1층 (상계동)1679무드짐2024-04-09 13:51:19I2023-12-03 23:01:00.0<NA>205769.860609462114.708107<NA><NA><NA><NA><NA><NA><NA><NA><NA>