Overview

Dataset statistics

Number of variables34
Number of observations208
Missing cells1841
Missing cells (%)26.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory59.0 KiB
Average record size in memory290.6 B

Variable types

Categorical14
Text6
DateTime3
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
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-19833/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
보험가입여부코드 is highly imbalanced (81.1%)Imbalance
인허가취소일자 has 208 (100.0%) missing valuesMissing
폐업일자 has 88 (42.3%) missing valuesMissing
휴업시작일자 has 208 (100.0%) missing valuesMissing
휴업종료일자 has 208 (100.0%) missing valuesMissing
재개업일자 has 208 (100.0%) missing valuesMissing
전화번호 has 42 (20.2%) missing valuesMissing
소재지면적 has 208 (100.0%) missing valuesMissing
소재지우편번호 has 101 (48.6%) missing valuesMissing
도로명주소 has 7 (3.4%) missing valuesMissing
도로명우편번호 has 10 (4.8%) missing valuesMissing
좌표정보(X) has 9 (4.3%) missing valuesMissing
좌표정보(Y) has 9 (4.3%) missing valuesMissing
건축물연면적 has 117 (56.2%) missing valuesMissing
세부업종명 has 208 (100.0%) missing valuesMissing
법인명 has 208 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 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
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 8 (3.8%) zerosZeros

Reproduction

Analysis started2024-05-11 05:46:48.275889
Analysis finished2024-05-11 05:46:49.202963
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
3060000
208 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3060000
2nd row3060000
3rd row3060000
4th row3060000
5th row3060000

Common Values

ValueCountFrequency (%)
3060000 208
100.0%

Length

2024-05-11T14:46:49.310245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:49.472287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 208
100.0%

관리번호
Text

UNIQUE 

Distinct208
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-05-11T14:46:49.759953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters4160
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

Unique208 ?
Unique (%)100.0%

Sample

1st rowCDFH3301021989000001
2nd rowCDFH3301021989000002
3rd rowCDFH3301021989000003
4th rowCDFH3301021989000004
5th rowCDFH3301021989000005
ValueCountFrequency (%)
cdfh3301021989000001 1
 
0.5%
cdfh3301021989000002 1
 
0.5%
cdfh3301022010000007 1
 
0.5%
cdfh3301022008000005 1
 
0.5%
cdfh3301022008000006 1
 
0.5%
cdfh3301022008000007 1
 
0.5%
cdfh3301022009000001 1
 
0.5%
cdfh3301022009000002 1
 
0.5%
cdfh3301022010000001 1
 
0.5%
cdfh3301022010000002 1
 
0.5%
Other values (198) 198
95.2%
2024-05-11T14:46:50.336025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1690
40.6%
3 466
 
11.2%
2 428
 
10.3%
1 405
 
9.7%
C 208
 
5.0%
D 208
 
5.0%
F 208
 
5.0%
H 208
 
5.0%
9 147
 
3.5%
4 55
 
1.3%
Other values (4) 137
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3328
80.0%
Uppercase Letter 832
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1690
50.8%
3 466
 
14.0%
2 428
 
12.9%
1 405
 
12.2%
9 147
 
4.4%
4 55
 
1.7%
5 43
 
1.3%
8 32
 
1.0%
7 31
 
0.9%
6 31
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
C 208
25.0%
D 208
25.0%
F 208
25.0%
H 208
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3328
80.0%
Latin 832
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1690
50.8%
3 466
 
14.0%
2 428
 
12.9%
1 405
 
12.2%
9 147
 
4.4%
4 55
 
1.7%
5 43
 
1.3%
8 32
 
1.0%
7 31
 
0.9%
6 31
 
0.9%
Latin
ValueCountFrequency (%)
C 208
25.0%
D 208
25.0%
F 208
25.0%
H 208
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4160
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1690
40.6%
3 466
 
11.2%
2 428
 
10.3%
1 405
 
9.7%
C 208
 
5.0%
D 208
 
5.0%
F 208
 
5.0%
H 208
 
5.0%
9 147
 
3.5%
4 55
 
1.3%
Other values (4) 137
 
3.3%

인허가일자
Date

Distinct203
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum1989-09-11 00:00:00
Maximum2024-03-07 00:00:00
2024-05-11T14:46:50.706846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:46:50.943358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing208
Missing (%)100.0%
Memory size2.0 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
3
106 
1
88 
4
14 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 106
51.0%
1 88
42.3%
4 14
 
6.7%

Length

2024-05-11T14:46:51.171776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:51.334982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 106
51.0%
1 88
42.3%
4 14
 
6.7%

영업상태명
Categorical

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
폐업
106 
영업/정상
88 
취소/말소/만료/정지/중지
14 

Length

Max length14
Median length2
Mean length4.0769231
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 106
51.0%
영업/정상 88
42.3%
취소/말소/만료/정지/중지 14
 
6.7%

Length

2024-05-11T14:46:51.545405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:51.717694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 106
51.0%
영업/정상 88
42.3%
취소/말소/만료/정지/중지 14
 
6.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
3
106 
13
88 
35
14 

Length

Max length2
Median length1
Mean length1.4903846
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 106
51.0%
13 88
42.3%
35 14
 
6.7%

Length

2024-05-11T14:46:52.230437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:52.403407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 106
51.0%
13 88
42.3%
35 14
 
6.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
폐업
106 
영업중
88 
직권말소
14 

Length

Max length4
Median length2
Mean length2.5576923
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 106
51.0%
영업중 88
42.3%
직권말소 14
 
6.7%

Length

2024-05-11T14:46:52.617530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:46:52.853850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 106
51.0%
영업중 88
42.3%
직권말소 14
 
6.7%

폐업일자
Date

MISSING 

Distinct99
Distinct (%)82.5%
Missing88
Missing (%)42.3%
Memory size1.8 KiB
Minimum1996-07-03 00:00:00
Maximum2024-05-03 00:00:00
2024-05-11T14:46:53.099929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:46:53.329156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing208
Missing (%)100.0%
Memory size2.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing208
Missing (%)100.0%
Memory size2.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing208
Missing (%)100.0%
Memory size2.0 KiB

전화번호
Text

MISSING 

Distinct157
Distinct (%)94.6%
Missing42
Missing (%)20.2%
Memory size1.8 KiB
2024-05-11T14:46:53.748307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length8
Mean length8.9819277
Min length8

Characters and Unicode

Total characters1491
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique149 ?
Unique (%)89.8%

Sample

1st row493-7098
2nd row492-0648
3rd row02-432-4002
4th row492-5854
5th row435-8662
ValueCountFrequency (%)
2209-1744 3
 
1.8%
3421-6109 2
 
1.2%
976-8417 2
 
1.2%
492-3795 2
 
1.2%
496-2526 2
 
1.2%
438-4000 2
 
1.2%
433-3694 2
 
1.2%
496-5024 2
 
1.2%
435-5203 1
 
0.6%
948-8862 1
 
0.6%
Other values (147) 147
88.6%
2024-05-11T14:46:54.375252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 213
14.3%
- 203
13.6%
2 178
11.9%
3 173
11.6%
0 142
9.5%
9 133
8.9%
7 116
7.8%
1 99
6.6%
6 86
5.8%
8 76
 
5.1%
Other values (4) 72
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1284
86.1%
Dash Punctuation 203
 
13.6%
Other Punctuation 2
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 213
16.6%
2 178
13.9%
3 173
13.5%
0 142
11.1%
9 133
10.4%
7 116
9.0%
1 99
7.7%
6 86
6.7%
8 76
 
5.9%
5 68
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 203
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1491
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 213
14.3%
- 203
13.6%
2 178
11.9%
3 173
11.6%
0 142
9.5%
9 133
8.9%
7 116
7.8%
1 99
6.6%
6 86
5.8%
8 76
 
5.1%
Other values (4) 72
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1491
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 213
14.3%
- 203
13.6%
2 178
11.9%
3 173
11.6%
0 142
9.5%
9 133
8.9%
7 116
7.8%
1 99
6.6%
6 86
5.8%
8 76
 
5.1%
Other values (4) 72
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing208
Missing (%)100.0%
Memory size2.0 KiB

소재지우편번호
Text

MISSING 

Distinct58
Distinct (%)54.2%
Missing101
Missing (%)48.6%
Memory size1.8 KiB
2024-05-11T14:46:54.741349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0093458
Min length6

Characters and Unicode

Total characters643
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

Unique34 ?
Unique (%)31.8%

Sample

1st row131880
2nd row131809
3rd row131827
4th row131877
5th row131815
ValueCountFrequency (%)
131809 6
 
5.6%
131823 6
 
5.6%
131802 5
 
4.7%
131816 5
 
4.7%
131814 5
 
4.7%
131815 4
 
3.7%
131877 3
 
2.8%
131831 3
 
2.8%
131810 3
 
2.8%
131868 3
 
2.8%
Other values (48) 64
59.8%
2024-05-11T14:46:55.353554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 251
39.0%
3 127
19.8%
8 121
18.8%
2 28
 
4.4%
7 28
 
4.4%
6 25
 
3.9%
0 23
 
3.6%
5 16
 
2.5%
4 12
 
1.9%
9 11
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 642
99.8%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 251
39.1%
3 127
19.8%
8 121
18.8%
2 28
 
4.4%
7 28
 
4.4%
6 25
 
3.9%
0 23
 
3.6%
5 16
 
2.5%
4 12
 
1.9%
9 11
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 643
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 251
39.0%
3 127
19.8%
8 121
18.8%
2 28
 
4.4%
7 28
 
4.4%
6 25
 
3.9%
0 23
 
3.6%
5 16
 
2.5%
4 12
 
1.9%
9 11
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 643
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 251
39.0%
3 127
19.8%
8 121
18.8%
2 28
 
4.4%
7 28
 
4.4%
6 25
 
3.9%
0 23
 
3.6%
5 16
 
2.5%
4 12
 
1.9%
9 11
 
1.7%

지번주소
Text

Distinct198
Distinct (%)96.1%
Missing2
Missing (%)1.0%
Memory size1.8 KiB
2024-05-11T14:46:55.872590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length35
Mean length23.524272
Min length13

Characters and Unicode

Total characters4846
Distinct characters162
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique190 ?
Unique (%)92.2%

Sample

1st row서울특별시 중랑구 중화동 318-1번지
2nd row서울특별시 중랑구 망우동 514-80번지
3rd row서울특별시 중랑구 면목동 666-53번지
4th row서울특별시 중랑구 상봉동 105-85
5th row서울특별시 중랑구 중화동 288-27번지
ValueCountFrequency (%)
서울특별시 206
22.3%
중랑구 206
22.3%
면목동 75
 
8.1%
신내동 37
 
4.0%
망우동 29
 
3.1%
중화동 26
 
2.8%
묵동 22
 
2.4%
상봉동 17
 
1.8%
2층 5
 
0.5%
413-3 3
 
0.3%
Other values (277) 297
32.2%
2024-05-11T14:46:56.713783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
878
18.1%
중 237
 
4.9%
동 217
 
4.5%
시 209
 
4.3%
서 208
 
4.3%
랑 208
 
4.3%
울 208
 
4.3%
구 207
 
4.3%
특 206
 
4.3%
별 206
 
4.3%
Other values (152) 2062
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2836
58.5%
Decimal Number 938
 
19.4%
Space Separator 878
 
18.1%
Dash Punctuation 180
 
3.7%
Open Punctuation 6
 
0.1%
Close Punctuation 5
 
0.1%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 237
 
8.4%
동 217
 
7.7%
시 209
 
7.4%
서 208
 
7.3%
랑 208
 
7.3%
울 208
 
7.3%
구 207
 
7.3%
특 206
 
7.3%
별 206
 
7.3%
지 100
 
3.5%
Other values (137) 830
29.3%
Decimal Number
ValueCountFrequency (%)
1 178
19.0%
2 123
13.1%
3 104
11.1%
4 96
10.2%
5 93
9.9%
6 80
8.5%
8 74
7.9%
0 71
 
7.6%
7 63
 
6.7%
9 56
 
6.0%
Space Separator
ValueCountFrequency (%)
878
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 180
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2836
58.5%
Common 2010
41.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 237
 
8.4%
동 217
 
7.7%
시 209
 
7.4%
서 208
 
7.3%
랑 208
 
7.3%
울 208
 
7.3%
구 207
 
7.3%
특 206
 
7.3%
별 206
 
7.3%
지 100
 
3.5%
Other values (137) 830
29.3%
Common
ValueCountFrequency (%)
878
43.7%
- 180
 
9.0%
1 178
 
8.9%
2 123
 
6.1%
3 104
 
5.2%
4 96
 
4.8%
5 93
 
4.6%
6 80
 
4.0%
8 74
 
3.7%
0 71
 
3.5%
Other values (5) 133
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2836
58.5%
ASCII 2010
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
878
43.7%
- 180
 
9.0%
1 178
 
8.9%
2 123
 
6.1%
3 104
 
5.2%
4 96
 
4.8%
5 93
 
4.6%
6 80
 
4.0%
8 74
 
3.7%
0 71
 
3.5%
Other values (5) 133
 
6.6%
Hangul
ValueCountFrequency (%)
중 237
 
8.4%
동 217
 
7.7%
시 209
 
7.4%
서 208
 
7.3%
랑 208
 
7.3%
울 208
 
7.3%
구 207
 
7.3%
특 206
 
7.3%
별 206
 
7.3%
지 100
 
3.5%
Other values (137) 830
29.3%

도로명주소
Text

MISSING 

Distinct193
Distinct (%)96.0%
Missing7
Missing (%)3.4%
Memory size1.8 KiB
2024-05-11T14:46:57.250903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length50
Mean length28.437811
Min length21

Characters and Unicode

Total characters5716
Distinct characters118
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

Unique185 ?
Unique (%)92.0%

Sample

1st row서울특별시 중랑구 중랑역로13길 2 (중화동)
2nd row서울특별시 중랑구 봉우재로 203-1 (망우동)
3rd row서울특별시 중랑구 사가정로50길 76 (면목동)
4th row서울특별시 중랑구 봉우재로 141, 3층 (상봉동)
5th row서울특별시 중랑구 동일로 778 (중화동)
ValueCountFrequency (%)
서울특별시 201
17.3%
중랑구 201
17.3%
면목동 73
 
6.3%
신내동 35
 
3.0%
3층 35
 
3.0%
망우동 28
 
2.4%
2층 28
 
2.4%
중화동 26
 
2.2%
면목로 20
 
1.7%
묵동 20
 
1.7%
Other values (280) 497
42.7%
2024-05-11T14:46:58.041756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
964
 
16.9%
중 247
 
4.3%
동 238
 
4.2%
랑 213
 
3.7%
시 204
 
3.6%
울 202
 
3.5%
서 201
 
3.5%
) 201
 
3.5%
특 201
 
3.5%
별 201
 
3.5%
Other values (108) 2844
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3335
58.3%
Space Separator 964
 
16.9%
Decimal Number 871
 
15.2%
Close Punctuation 201
 
3.5%
Open Punctuation 201
 
3.5%
Other Punctuation 131
 
2.3%
Dash Punctuation 9
 
0.2%
Uppercase Letter 3
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 247
 
7.4%
동 238
 
7.1%
랑 213
 
6.4%
시 204
 
6.1%
울 202
 
6.1%
서 201
 
6.0%
특 201
 
6.0%
별 201
 
6.0%
구 201
 
6.0%
로 200
 
6.0%
Other values (89) 1227
36.8%
Decimal Number
ValueCountFrequency (%)
2 144
16.5%
1 137
15.7%
3 128
14.7%
5 91
10.4%
4 90
10.3%
0 74
8.5%
6 59
6.8%
7 56
 
6.4%
9 53
 
6.1%
8 39
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
D 1
33.3%
S 1
33.3%
J 1
33.3%
Space Separator
ValueCountFrequency (%)
964
100.0%
Close Punctuation
ValueCountFrequency (%)
) 201
100.0%
Open Punctuation
ValueCountFrequency (%)
( 201
100.0%
Other Punctuation
ValueCountFrequency (%)
, 131
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3335
58.3%
Common 2378
41.6%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 247
 
7.4%
동 238
 
7.1%
랑 213
 
6.4%
시 204
 
6.1%
울 202
 
6.1%
서 201
 
6.0%
특 201
 
6.0%
별 201
 
6.0%
구 201
 
6.0%
로 200
 
6.0%
Other values (89) 1227
36.8%
Common
ValueCountFrequency (%)
964
40.5%
) 201
 
8.5%
( 201
 
8.5%
2 144
 
6.1%
1 137
 
5.8%
, 131
 
5.5%
3 128
 
5.4%
5 91
 
3.8%
4 90
 
3.8%
0 74
 
3.1%
Other values (6) 217
 
9.1%
Latin
ValueCountFrequency (%)
D 1
33.3%
S 1
33.3%
J 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3335
58.3%
ASCII 2381
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
964
40.5%
) 201
 
8.4%
( 201
 
8.4%
2 144
 
6.0%
1 137
 
5.8%
, 131
 
5.5%
3 128
 
5.4%
5 91
 
3.8%
4 90
 
3.8%
0 74
 
3.1%
Other values (9) 220
 
9.2%
Hangul
ValueCountFrequency (%)
중 247
 
7.4%
동 238
 
7.1%
랑 213
 
6.4%
시 204
 
6.1%
울 202
 
6.1%
서 201
 
6.0%
특 201
 
6.0%
별 201
 
6.0%
구 201
 
6.0%
로 200
 
6.0%
Other values (89) 1227
36.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct140
Distinct (%)70.7%
Missing10
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean46665.525
Minimum2003
Maximum131883
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-05-11T14:46:58.313746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2003
5-th percentile2024
Q12072.25
median2188.5
Q3131814.75
95-th percentile131875
Maximum131883
Range129880
Interquartile range (IQR)129742.5

Descriptive statistics

Standard deviation61749.329
Coefficient of variation (CV)1.3232323
Kurtosis-1.5744807
Mean46665.525
Median Absolute Deviation (MAD)134.5
Skewness0.66446906
Sum9239774
Variance3.8129797 × 109
MonotonicityNot monotonic
2024-05-11T14:46:58.623977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2054 6
 
2.9%
131802 5
 
2.4%
131823 5
 
2.4%
2055 4
 
1.9%
131814 3
 
1.4%
131809 3
 
1.4%
2138 3
 
1.4%
2205 3
 
1.4%
131830 2
 
1.0%
2024 2
 
1.0%
Other values (130) 162
77.9%
(Missing) 10
 
4.8%
ValueCountFrequency (%)
2003 1
0.5%
2006 1
0.5%
2007 1
0.5%
2011 1
0.5%
2016 1
0.5%
2017 1
0.5%
2018 1
0.5%
2019 2
1.0%
2024 2
1.0%
2025 1
0.5%
ValueCountFrequency (%)
131883 2
1.0%
131881 1
0.5%
131879 2
1.0%
131878 2
1.0%
131877 1
0.5%
131876 1
0.5%
131875 2
1.0%
131872 1
0.5%
131870 2
1.0%
131868 1
0.5%

사업장명
Text

Distinct200
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-05-11T14:46:59.096859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length7.3605769
Min length2

Characters and Unicode

Total characters1531
Distinct characters244
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

Unique192 ?
Unique (%)92.3%

Sample

1st row정무체육관
2nd row청록태권도장
3rd row참피온체육관
4th row맹호 태권도장
5th row차돌 체육관
ValueCountFrequency (%)
태권도 18
 
5.5%
태권도장 15
 
4.5%
체육관 13
 
3.9%
복싱 5
 
1.5%
용인대 4
 
1.2%
고려대 4
 
1.2%
경희대석사 4
 
1.2%
국가대표 4
 
1.2%
경희대 4
 
1.2%
신내 3
 
0.9%
Other values (232) 256
77.6%
2024-05-11T14:46:59.846622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
122
 
8.0%
도 108
 
7.1%
관 103
 
6.7%
태 90
 
5.9%
권 88
 
5.7%
체 87
 
5.7%
육 83
 
5.4%
대 39
 
2.5%
장 34
 
2.2%
복 22
 
1.4%
Other values (234) 755
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1362
89.0%
Space Separator 122
 
8.0%
Uppercase Letter 23
 
1.5%
Lowercase Letter 13
 
0.8%
Other Punctuation 5
 
0.3%
Decimal Number 4
 
0.3%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 108
 
7.9%
관 103
 
7.6%
태 90
 
6.6%
권 88
 
6.5%
체 87
 
6.4%
육 83
 
6.1%
대 39
 
2.9%
장 34
 
2.5%
복 22
 
1.6%
싱 21
 
1.5%
Other values (205) 687
50.4%
Lowercase Letter
ValueCountFrequency (%)
l 3
23.1%
b 1
 
7.7%
u 1
 
7.7%
t 1
 
7.7%
e 1
 
7.7%
k 1
 
7.7%
c 1
 
7.7%
a 1
 
7.7%
s 1
 
7.7%
m 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
B 4
17.4%
M 3
13.0%
S 3
13.0%
K 2
8.7%
A 2
8.7%
C 2
8.7%
J 2
8.7%
T 2
8.7%
L 2
8.7%
H 1
 
4.3%
Decimal Number
ValueCountFrequency (%)
0 2
50.0%
1 1
25.0%
2 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
' 1
 
20.0%
Space Separator
ValueCountFrequency (%)
122
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1362
89.0%
Common 133
 
8.7%
Latin 36
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 108
 
7.9%
관 103
 
7.6%
태 90
 
6.6%
권 88
 
6.5%
체 87
 
6.4%
육 83
 
6.1%
대 39
 
2.9%
장 34
 
2.5%
복 22
 
1.6%
싱 21
 
1.5%
Other values (205) 687
50.4%
Latin
ValueCountFrequency (%)
B 4
 
11.1%
l 3
 
8.3%
M 3
 
8.3%
S 3
 
8.3%
K 2
 
5.6%
A 2
 
5.6%
C 2
 
5.6%
J 2
 
5.6%
T 2
 
5.6%
L 2
 
5.6%
Other values (11) 11
30.6%
Common
ValueCountFrequency (%)
122
91.7%
, 4
 
3.0%
0 2
 
1.5%
) 1
 
0.8%
( 1
 
0.8%
1 1
 
0.8%
2 1
 
0.8%
' 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1362
89.0%
ASCII 169
 
11.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
122
72.2%
B 4
 
2.4%
, 4
 
2.4%
l 3
 
1.8%
M 3
 
1.8%
S 3
 
1.8%
0 2
 
1.2%
K 2
 
1.2%
A 2
 
1.2%
C 2
 
1.2%
Other values (19) 22
 
13.0%
Hangul
ValueCountFrequency (%)
도 108
 
7.9%
관 103
 
7.6%
태 90
 
6.6%
권 88
 
6.5%
체 87
 
6.4%
육 83
 
6.1%
대 39
 
2.9%
장 34
 
2.5%
복 22
 
1.6%
싱 21
 
1.5%
Other values (205) 687
50.4%

최종수정일자
Date

UNIQUE 

Distinct208
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2003-05-14 13:23:08
Maximum2024-05-08 10:43:11
2024-05-11T14:47:00.113398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:47:00.361093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
U
124 
I
84 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 124
59.6%
I 84
40.4%

Length

2024-05-11T14:47:00.561734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:00.738320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 124
59.6%
i 84
40.4%

데이터갱신일자
Categorical

Distinct49
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2018-08-31 23:59:59.0
77 
2022-01-12 02:40:00.0
31 
2022-01-13 02:40:00.0
30 
2021-12-07 00:02:00.0
14 
2019-07-04 02:40:00.0
 
5
Other values (44)
51 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique37 ?
Unique (%)17.8%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2019-07-04 02:40:00.0
4th row2022-01-12 02:40:00.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 77
37.0%
2022-01-12 02:40:00.0 31
14.9%
2022-01-13 02:40:00.0 30
 
14.4%
2021-12-07 00:02:00.0 14
 
6.7%
2019-07-04 02:40:00.0 5
 
2.4%
2023-12-02 00:08:00.0 2
 
1.0%
2023-12-02 21:00:00.0 2
 
1.0%
2021-11-07 02:40:00.0 2
 
1.0%
2020-03-21 02:40:00.0 2
 
1.0%
2022-12-04 00:09:00.0 2
 
1.0%
Other values (39) 41
19.7%

Length

2024-05-11T14:47:00.934821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
02:40:00.0 87
20.9%
23:59:59.0 78
18.8%
2018-08-31 77
18.5%
2022-01-12 31
 
7.5%
2022-01-13 30
 
7.2%
2021-12-07 15
 
3.6%
00:02:00.0 14
 
3.4%
2019-07-04 5
 
1.2%
2023-12-02 4
 
1.0%
2022-12-04 3
 
0.7%
Other values (55) 72
17.3%

업태구분명
Categorical

Distinct8
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
91 
태권도
76 
권투
22 
유도
 
7
합기도
 
5
Other values (3)
 
7

Length

Max length4
Median length3
Mean length3.2740385
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 91
43.8%
태권도 76
36.5%
권투 22
 
10.6%
유도 7
 
3.4%
합기도 5
 
2.4%
검도 4
 
1.9%
레슬링 2
 
1.0%
우슈 1
 
0.5%

Length

2024-05-11T14:47:01.140178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:01.373061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
43.8%
태권도 76
36.5%
권투 22
 
10.6%
유도 7
 
3.4%
합기도 5
 
2.4%
검도 4
 
1.9%
레슬링 2
 
1.0%
우슈 1
 
0.5%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct173
Distinct (%)86.9%
Missing9
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean207755.08
Minimum206285.91
Maximum209646.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-05-11T14:47:01.564079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206285.91
5-th percentile206621.14
Q1207015.42
median207655.29
Q3208455.1
95-th percentile208984.44
Maximum209646.14
Range3360.2301
Interquartile range (IQR)1439.6847

Descriptive statistics

Standard deviation799.87332
Coefficient of variation (CV)0.0038500783
Kurtosis-0.87840166
Mean207755.08
Median Absolute Deviation (MAD)690.95529
Skewness0.23664746
Sum41343260
Variance639797.32
MonotonicityNot monotonic
2024-05-11T14:47:01.795834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
207015.416112718 3
 
1.4%
207757.111158722 3
 
1.4%
208520.092335397 3
 
1.4%
209646.142554388 2
 
1.0%
209355.0 2
 
1.0%
207144.00170008 2
 
1.0%
207139.452490157 2
 
1.0%
206767.218229511 2
 
1.0%
208781.304727661 2
 
1.0%
208555.355763272 2
 
1.0%
Other values (163) 176
84.6%
(Missing) 9
 
4.3%
ValueCountFrequency (%)
206285.912434623 1
0.5%
206453.503734745 1
0.5%
206468.896114146 1
0.5%
206490.785290292 1
0.5%
206568.820863427 1
0.5%
206585.00447154 1
0.5%
206602.463728956 1
0.5%
206607.11467127 1
0.5%
206609.811813266 1
0.5%
206612.198807103 1
0.5%
ValueCountFrequency (%)
209646.142554388 2
1.0%
209579.542671166 1
0.5%
209447.332233451 2
1.0%
209405.131185412 1
0.5%
209355.0 2
1.0%
209046.874952547 1
0.5%
209006.848797065 1
0.5%
208981.948484069 1
0.5%
208933.84630629 1
0.5%
208908.819647364 1
0.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct173
Distinct (%)86.9%
Missing9
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean454966.62
Minimum452235.49
Maximum457471
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-05-11T14:47:02.078350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452235.49
5-th percentile452881.72
Q1454076.93
median455069.56
Q3455798.33
95-th percentile457065.22
Maximum457471
Range5235.5122
Interquartile range (IQR)1721.399

Descriptive statistics

Standard deviation1232.3144
Coefficient of variation (CV)0.002708582
Kurtosis-0.62521605
Mean454966.62
Median Absolute Deviation (MAD)845.93602
Skewness-0.053222998
Sum90538357
Variance1518598.8
MonotonicityNot monotonic
2024-05-11T14:47:02.401813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
455285.800740148 3
 
1.4%
453557.753875794 3
 
1.4%
456195.877460936 3
 
1.4%
456996.056603203 2
 
1.0%
457471.0 2
 
1.0%
453343.919086938 2
 
1.0%
452475.257710421 2
 
1.0%
455177.476767372 2
 
1.0%
453989.186766812 2
 
1.0%
454237.01753823 2
 
1.0%
Other values (163) 176
84.6%
(Missing) 9
 
4.3%
ValueCountFrequency (%)
452235.487764763 1
0.5%
452262.95754881 1
0.5%
452475.257710421 2
1.0%
452517.896471138 1
0.5%
452551.742749755 1
0.5%
452634.999897011 1
0.5%
452692.769331571 1
0.5%
452824.061293199 1
0.5%
452855.115920191 1
0.5%
452884.675867015 1
0.5%
ValueCountFrequency (%)
457471.0 2
1.0%
457250.150407813 1
0.5%
457183.637796144 1
0.5%
457150.626367535 2
1.0%
457134.652291135 1
0.5%
457131.629744466 1
0.5%
457122.700436003 2
1.0%
457058.833608079 1
0.5%
457021.162035231 1
0.5%
456996.056603203 2
1.0%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
체육도장업
167 
<NA>
41 

Length

Max length5
Median length5
Mean length4.8028846
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체육도장업 167
80.3%
<NA> 41
 
19.7%

Length

2024-05-11T14:47:02.631431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:02.796041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육도장업 167
80.3%
na 41
 
19.7%

공사립구분명
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
사립
167 
<NA>
41 

Length

Max length4
Median length2
Mean length2.3942308
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 167
80.3%
<NA> 41
 
19.7%

Length

2024-05-11T14:47:02.986017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:03.149875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 167
80.3%
na 41
 
19.7%

보험가입여부코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
202 
0
 
6

Length

Max length4
Median length4
Mean length3.9134615
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> 202
97.1%
0 6
 
2.9%

Length

2024-05-11T14:47:03.295777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:03.440202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 202
97.1%
0 6
 
2.9%

지도자수
Categorical

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
136 
0
46 
1
25 
2
 
1

Length

Max length4
Median length4
Mean length2.9615385
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 136
65.4%
0 46
 
22.1%
1 25
 
12.0%
2 1
 
0.5%

Length

2024-05-11T14:47:03.609329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:03.753827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 136
65.4%
0 46
 
22.1%
1 25
 
12.0%
2 1
 
0.5%

건축물동수
Categorical

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
131 
1
69 
0
 
8

Length

Max length4
Median length4
Mean length2.8894231
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row1
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 131
63.0%
1 69
33.2%
0 8
 
3.8%

Length

2024-05-11T14:47:03.918829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:04.048839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 131
63.0%
1 69
33.2%
0 8
 
3.8%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct83
Distinct (%)91.2%
Missing117
Missing (%)56.2%
Infinite0
Infinite (%)0.0%
Mean1727.5321
Minimum0
Maximum24370.92
Zeros8
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-05-11T14:47:04.215584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1395.74
median800.66
Q31389.025
95-th percentile6139.575
Maximum24370.92
Range24370.92
Interquartile range (IQR)993.285

Descriptive statistics

Standard deviation3585.8454
Coefficient of variation (CV)2.0757041
Kurtosis27.344423
Mean1727.5321
Median Absolute Deviation (MAD)560.27
Skewness4.9502185
Sum157205.42
Variance12858287
MonotonicityNot monotonic
2024-05-11T14:47:04.946629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 8
 
3.8%
1797.88 2
 
1.0%
671.39 1
 
0.5%
563.1 1
 
0.5%
3862.25 1
 
0.5%
1074.84 1
 
0.5%
729.13 1
 
0.5%
445.06 1
 
0.5%
476.53 1
 
0.5%
9158.26 1
 
0.5%
Other values (73) 73
35.1%
(Missing) 117
56.2%
ValueCountFrequency (%)
0.0 8
3.8%
78.48 1
 
0.5%
83.3 1
 
0.5%
87.32 1
 
0.5%
92.9 1
 
0.5%
97.0 1
 
0.5%
99.0 1
 
0.5%
101.92 1
 
0.5%
113.7 1
 
0.5%
125.0 1
 
0.5%
ValueCountFrequency (%)
24370.92 1
0.5%
21609.82 1
0.5%
9158.26 1
0.5%
6243.44 1
0.5%
6140.8 1
0.5%
6138.35 1
0.5%
5239.83 1
0.5%
4263.78 1
0.5%
4056.44 1
0.5%
3862.25 1
0.5%

회원모집총인원
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
142 
0
66 

Length

Max length4
Median length4
Mean length3.0480769
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 142
68.3%
0 66
31.7%

Length

2024-05-11T14:47:05.181415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:05.363134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 142
68.3%
0 66
31.7%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing208
Missing (%)100.0%
Memory size2.0 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing208
Missing (%)100.0%
Memory size2.0 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03060000CDFH330102198900000119890911<NA>3폐업3폐업20040914<NA><NA><NA><NA><NA>131880서울특별시 중랑구 중화동 318-1번지서울특별시 중랑구 중랑역로13길 2 (중화동)131879정무체육관2011-11-18 18:10:03I2018-08-31 23:59:59.0<NA>206585.004472454955.245633체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
13060000CDFH330102198900000219890921<NA>3폐업3폐업20070911<NA><NA><NA>493-7098<NA>131809서울특별시 중랑구 망우동 514-80번지서울특별시 중랑구 봉우재로 203-1 (망우동)131809청록태권도장2011-11-18 18:07:25I2018-08-31 23:59:59.0<NA>208346.878674454725.307336체육도장업사립<NA><NA><NA>99.0<NA><NA><NA>
23060000CDFH330102198900000319891016<NA>3폐업3폐업20190702<NA><NA><NA>492-0648<NA>131827서울특별시 중랑구 면목동 666-53번지서울특별시 중랑구 사가정로50길 76 (면목동)2240참피온체육관2019-07-02 09:21:01U2019-07-04 02:40:00.0<NA>207402.369742452824.061293체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
33060000CDFH330102198900000419891113<NA>1영업/정상13영업중<NA><NA><NA><NA>02-432-4002<NA><NA>서울특별시 중랑구 상봉동 105-85서울특별시 중랑구 봉우재로 141, 3층 (상봉동)2153맹호 태권도장2022-01-10 13:27:36U2022-01-12 02:40:00.0태권도207756.698954454567.701513체육도장업사립<NA>011041.80<NA><NA>
43060000CDFH330102198900000519891226<NA>3폐업3폐업20130329<NA><NA><NA>492-5854<NA>131877서울특별시 중랑구 중화동 288-27번지서울특별시 중랑구 동일로 778 (중화동)131877차돌 체육관2013-11-30 10:53:58I2018-08-31 23:59:59.0<NA>207015.416113455285.80074체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
53060000CDFH330102198900000619891227<NA>3폐업3폐업20051227<NA><NA><NA>435-8662<NA>131815서울특별시 중랑구 면목동 71-1번지서울특별시 중랑구 상봉로 33 (면목동)131839화랑태권도도장2011-11-18 17:22:45I2018-08-31 23:59:59.0<NA>208206.911743454062.329059체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
63060000CDFH330102199000000119900212<NA>3폐업3폐업20120117<NA><NA><NA>492-3795<NA>131802서울특별시 중랑구 망우동 135-5번지서울특별시 중랑구 망우로 499 (망우동)131802경희대석사 체육관2012-01-17 10:43:40I2018-08-31 23:59:59.0<NA>209447.332233455386.369636체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
73060000CDFH330102199000000219900212<NA>4취소/말소/만료/정지/중지35직권말소20220627<NA><NA><NA>02-433-6601<NA>131809서울특별시 중랑구 망우동서울특별시 중랑구 봉우재로 203-1 (망우동)2171청도태권도2022-06-30 13:02:28U2021-12-07 00:02:00.0태권도208346.878674454725.307336<NA><NA><NA><NA><NA><NA><NA><NA><NA>
83060000CDFH330102199000000319900314<NA>3폐업3폐업20080807<NA><NA><NA>434-8977<NA>131802서울특별시 중랑구 망우동 184-14번지서울특별시 중랑구 용마산로116길 50 (망우동)131802중앙체육관2011-11-17 16:22:42I2018-08-31 23:59:59.0<NA>209046.874953455246.903296체육도장업사립<NA><NA><NA>97.0<NA><NA><NA>
93060000CDFH330102199000000419900726<NA>1영업/정상13영업중<NA><NA><NA><NA>02-433-8031<NA><NA>서울특별시 중랑구 면목동 651-1서울특별시 중랑구 면목로39길 23, 지하1층 (면목동)2237천마유도체육관2022-01-10 14:06:33U2022-01-12 02:40:00.0유도207530.605701453061.337049체육도장업사립<NA>11522.850<NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
1983060000CDFH330102202100000420211014<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 묵동 168-18 신흥빌딩서울특별시 중랑구 중랑역로 257, 지하1층 104호 (묵동)2018골드 레슬링 태릉2022-01-11 10:26:46U2022-01-13 02:40:00.0레슬링206694.052784457058.833608체육도장업사립<NA>114056.440<NA><NA>
1993060000CDFH330102202200000120220209<NA>1영업/정상13영업중<NA><NA><NA><NA>02-747-6200<NA><NA>서울특별시 중랑구 망우동 0서울특별시 중랑구 양원역로14길 19, DS프라자 5층 (망우동)2057숲 태권도장2022-02-09 09:10:56I2022-02-11 00:22:38.0태권도<NA><NA>체육도장업사립<NA>112094.950<NA><NA>
2003060000CDFH33010220220000022022-02-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 131-1 재동의원서울특별시 중랑구 봉우재로 120, 재동의원 지하1층 (면목동)2144레코 서울2024-01-02 14:39:18U2023-12-01 00:04:00.0레슬링207551.858554454464.431664<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2013060000CDFH330102202200000320220425<NA>1영업/정상13영업중<NA><NA><NA><NA>02-492-0679<NA><NA>서울특별시 중랑구 망우동 0서울특별시 중랑구 양원역로10길 3, J타워 4층 (망우동)2057경희대 태권도 스쿨2022-04-25 18:07:31I2021-12-03 22:07:00.0태권도<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2023060000CDFH33010220220000042022-05-25<NA>1영업/정상13영업중<NA><NA><NA><NA>02-432-7779<NA><NA>서울특별시 중랑구 면목동 17-1서울특별시 중랑구 용마산로 440, 3층 (면목동)2189복싱1002024-04-11 13:26:28U2023-12-03 23:03:00.0권투208555.355763454237.017538<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2033060000CDFH330102202200000520221222<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6439-1211<NA><NA>서울특별시 중랑구 망우동 488-3 삼영빌딩 3층서울특별시 중랑구 망우로 413, 삼영빌딩 3층 (망우동)2073클라우스 복싱체육관 2관2022-12-22 17:57:32I2021-11-01 22:04:00.0권투208600.161919455262.816056<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2043060000CDFH33010220230000012023-09-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 1545 사가정 센트럴 아이파크 상가2동서울특별시 중랑구 동일로92길 40, 상가2동 3층 301, 302, 303호 (면목동, 사가정 센트럴 아이파크)2225미래태권도 사가정아이파크점2023-09-27 13:36:15I2022-12-08 22:09:00.0태권도207144.0017453343.919087<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2053060000CDFH33010220230000022023-10-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 망우동 465-15서울특별시 중랑구 망우로62길 81, 3층 (망우동)2165바이오 복싱짐2023-10-17 14:46:28I2022-10-30 23:09:00.0권투208730.442724454872.900111<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2063060000CDFH33010220240000012024-02-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 신내동 817 신내 데시앙포레서울특별시 중랑구 신내역로 165, 상가동 2층 205호 (신내동, 신내 데시앙포레)2055주식회사 동립매니지먼트2024-02-06 17:12:32I2023-12-02 00:08:00.0태권도209646.142554456996.056603<NA><NA><NA><NA><NA><NA><NA><NA><NA>
2073060000CDFH33010220240000022024-03-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 묵동 239-134 민선빌딩서울특별시 중랑구 중랑역로 204, 민선빌딩 4층 (묵동)2006락유도관 먹골점2024-03-07 16:41:28I2023-12-03 00:09:00.0유도206650.20048456590.598513<NA><NA><NA><NA><NA><NA><NA><NA><NA>