Overview

Dataset statistics

Number of variables34
Number of observations113
Missing cells1172
Missing cells (%)30.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.2 KiB
Average record size in memory292.2 B

Variable types

Categorical12
Text5
DateTime4
Unsupported8
Numeric5

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
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-19588/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
지도자수 is highly imbalanced (86.3%)Imbalance
건축물동수 is highly imbalanced (70.9%)Imbalance
회원모집총인원 is highly imbalanced (87.2%)Imbalance
인허가취소일자 has 113 (100.0%) missing valuesMissing
폐업일자 has 38 (33.6%) missing valuesMissing
휴업시작일자 has 113 (100.0%) missing valuesMissing
휴업종료일자 has 113 (100.0%) missing valuesMissing
재개업일자 has 113 (100.0%) missing valuesMissing
전화번호 has 20 (17.7%) missing valuesMissing
소재지면적 has 113 (100.0%) missing valuesMissing
소재지우편번호 has 60 (53.1%) missing valuesMissing
도로명주소 has 3 (2.7%) missing valuesMissing
도로명우편번호 has 48 (42.5%) missing valuesMissing
업태구분명 has 113 (100.0%) missing valuesMissing
좌표정보(X) has 3 (2.7%) missing valuesMissing
좌표정보(Y) has 3 (2.7%) missing valuesMissing
건축물연면적 has 92 (81.4%) missing valuesMissing
세부업종명 has 113 (100.0%) missing valuesMissing
법인명 has 113 (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
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

Reproduction

Analysis started2024-05-11 04:39:12.142997
Analysis finished2024-05-11 04:39:13.526595
Duration1.38 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
3110000
113 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3110000
2nd row3110000
3rd row3110000
4th row3110000
5th row3110000

Common Values

ValueCountFrequency (%)
3110000 113
100.0%

Length

2024-05-11T04:39:13.754152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:14.173433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 113
100.0%

관리번호
Text

UNIQUE 

Distinct113
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-05-11T04:39:14.841529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2260
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

Unique113 ?
Unique (%)100.0%

Sample

1st rowCDFH3301051993000001
2nd rowCDFH3301051994000001
3rd rowCDFH3301051994000002
4th rowCDFH3301051994000004
5th rowCDFH3301051994000005
ValueCountFrequency (%)
cdfh3301051993000001 1
 
0.9%
cdfh3301052007000004 1
 
0.9%
cdfh3301052010000006 1
 
0.9%
cdfh3301052010000005 1
 
0.9%
cdfh3301052010000004 1
 
0.9%
cdfh3301052010000003 1
 
0.9%
cdfh3301052010000002 1
 
0.9%
cdfh3301052010000001 1
 
0.9%
cdfh3301052009000005 1
 
0.9%
cdfh3301052009000004 1
 
0.9%
Other values (103) 103
91.2%
2024-05-11T04:39:16.402796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 973
43.1%
3 251
 
11.1%
1 202
 
8.9%
2 141
 
6.2%
5 133
 
5.9%
C 113
 
5.0%
D 113
 
5.0%
F 113
 
5.0%
H 113
 
5.0%
4 27
 
1.2%
Other values (4) 81
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1808
80.0%
Uppercase Letter 452
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 973
53.8%
3 251
 
13.9%
1 202
 
11.2%
2 141
 
7.8%
5 133
 
7.4%
4 27
 
1.5%
9 26
 
1.4%
8 23
 
1.3%
6 18
 
1.0%
7 14
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
C 113
25.0%
D 113
25.0%
F 113
25.0%
H 113
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1808
80.0%
Latin 452
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 973
53.8%
3 251
 
13.9%
1 202
 
11.2%
2 141
 
7.8%
5 133
 
7.4%
4 27
 
1.5%
9 26
 
1.4%
8 23
 
1.3%
6 18
 
1.0%
7 14
 
0.8%
Latin
ValueCountFrequency (%)
C 113
25.0%
D 113
25.0%
F 113
25.0%
H 113
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2260
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 973
43.1%
3 251
 
11.1%
1 202
 
8.9%
2 141
 
6.2%
5 133
 
5.9%
C 113
 
5.0%
D 113
 
5.0%
F 113
 
5.0%
H 113
 
5.0%
4 27
 
1.2%
Other values (4) 81
 
3.6%

인허가일자
Date

Distinct112
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum1993-07-12 00:00:00
Maximum2023-04-24 00:00:00
2024-05-11T04:39:16.975514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:39:17.654431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing113
Missing (%)100.0%
Memory size1.1 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
3
73 
1
38 
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 73
64.6%
1 38
33.6%
4 2
 
1.8%

Length

2024-05-11T04:39:18.279678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:18.760619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 73
64.6%
1 38
33.6%
4 2
 
1.8%

영업상태명
Categorical

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
폐업
73 
영업/정상
38 
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length2
Mean length3.2212389
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 73
64.6%
영업/정상 38
33.6%
취소/말소/만료/정지/중지 2
 
1.8%

Length

2024-05-11T04:39:19.168240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:19.579642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 73
64.6%
영업/정상 38
33.6%
취소/말소/만료/정지/중지 2
 
1.8%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
3
73 
13
38 
35
 
2

Length

Max length2
Median length1
Mean length1.3539823
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 73
64.6%
13 38
33.6%
35 2
 
1.8%

Length

2024-05-11T04:39:19.952663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:20.318275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 73
64.6%
13 38
33.6%
35 2
 
1.8%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
폐업
73 
영업중
38 
직권말소
 
2

Length

Max length4
Median length2
Mean length2.3716814
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 73
64.6%
영업중 38
33.6%
직권말소 2
 
1.8%

Length

2024-05-11T04:39:20.830220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:21.188611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 73
64.6%
영업중 38
33.6%
직권말소 2
 
1.8%

폐업일자
Date

MISSING 

Distinct51
Distinct (%)68.0%
Missing38
Missing (%)33.6%
Memory size1.0 KiB
Minimum2001-02-02 00:00:00
Maximum2024-04-08 00:00:00
2024-05-11T04:39:21.539905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:39:22.040740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing113
Missing (%)100.0%
Memory size1.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing113
Missing (%)100.0%
Memory size1.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing113
Missing (%)100.0%
Memory size1.1 KiB

전화번호
Text

MISSING 

Distinct91
Distinct (%)97.8%
Missing20
Missing (%)17.7%
Memory size1.0 KiB
2024-05-11T04:39:22.651348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.827957
Min length8

Characters and Unicode

Total characters821
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

Unique89 ?
Unique (%)95.7%

Sample

1st row383-2949
2nd row382-3651
3rd row353-3351
4th row388-6182
5th row374-1391
ValueCountFrequency (%)
308-4542 2
 
2.2%
389-0391 2
 
2.2%
358-8678 1
 
1.1%
02-382-4842 1
 
1.1%
372-3446 1
 
1.1%
383-0555 1
 
1.1%
376-4630 1
 
1.1%
357-7770 1
 
1.1%
02-353-1250 1
 
1.1%
02-383-2914 1
 
1.1%
Other values (81) 81
87.1%
2024-05-11T04:39:23.826499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 135
16.4%
- 114
13.9%
0 97
11.8%
5 86
10.5%
8 79
9.6%
7 72
8.8%
2 70
8.5%
9 55
6.7%
6 41
 
5.0%
1 40
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 707
86.1%
Dash Punctuation 114
 
13.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 135
19.1%
0 97
13.7%
5 86
12.2%
8 79
11.2%
7 72
10.2%
2 70
9.9%
9 55
7.8%
6 41
 
5.8%
1 40
 
5.7%
4 32
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 821
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 135
16.4%
- 114
13.9%
0 97
11.8%
5 86
10.5%
8 79
9.6%
7 72
8.8%
2 70
8.5%
9 55
6.7%
6 41
 
5.0%
1 40
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 821
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 135
16.4%
- 114
13.9%
0 97
11.8%
5 86
10.5%
8 79
9.6%
7 72
8.8%
2 70
8.5%
9 55
6.7%
6 41
 
5.0%
1 40
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing113
Missing (%)100.0%
Memory size1.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)67.9%
Missing60
Missing (%)53.1%
Infinite0
Infinite (%)0.0%
Mean122839.98
Minimum122040
Maximum122951
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T04:39:24.236080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum122040
5-th percentile122787.8
Q1122824
median122876
Q3122900
95-th percentile122937
Maximum122951
Range911
Interquartile range (IQR)76

Descriptive statistics

Standard deviation151.61648
Coefficient of variation (CV)0.00123426
Kurtosis20.437094
Mean122839.98
Median Absolute Deviation (MAD)42
Skewness-4.3822652
Sum6510519
Variance22987.557
MonotonicityNot monotonic
2024-05-11T04:39:24.665790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
122895 4
 
3.5%
122924 4
 
3.5%
122813 3
 
2.7%
122829 2
 
1.8%
122900 2
 
1.8%
122910 2
 
1.8%
122937 2
 
1.8%
122806 2
 
1.8%
122851 2
 
1.8%
122819 2
 
1.8%
Other values (26) 28
24.8%
(Missing) 60
53.1%
ValueCountFrequency (%)
122040 1
 
0.9%
122200 1
 
0.9%
122768 1
 
0.9%
122801 1
 
0.9%
122806 2
1.8%
122811 1
 
0.9%
122813 3
2.7%
122819 2
1.8%
122823 1
 
0.9%
122824 1
 
0.9%
ValueCountFrequency (%)
122951 1
 
0.9%
122947 1
 
0.9%
122937 2
1.8%
122924 4
3.5%
122923 1
 
0.9%
122910 2
1.8%
122908 1
 
0.9%
122907 1
 
0.9%
122900 2
1.8%
122898 1
 
0.9%

지번주소
Text

Distinct112
Distinct (%)100.0%
Missing1
Missing (%)0.9%
Memory size1.0 KiB
2024-05-11T04:39:25.350873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36.5
Mean length26.098214
Min length16

Characters and Unicode

Total characters2923
Distinct characters119
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique112 ?
Unique (%)100.0%

Sample

1st row서울특별시 은평구 녹번동 183-2번지
2nd row서울특별시 은평구 응암동 119-1번지 지층
3rd row서울특별시 은평구 불광동 430-5 지층
4th row서울특별시 은평구 갈현동 430-2번지
5th row서울특별시 은평구 증산동 176-7번지
ValueCountFrequency (%)
은평구 113
19.6%
서울특별시 112
19.4%
지층 24
 
4.2%
응암동 20
 
3.5%
갈현동 16
 
2.8%
녹번동 13
 
2.3%
불광동 13
 
2.3%
역촌동 12
 
2.1%
2층 10
 
1.7%
신사동 9
 
1.6%
Other values (179) 235
40.7%
2024-05-11T04:39:26.442802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
555
19.0%
1 125
 
4.3%
구 121
 
4.1%
은 117
 
4.0%
동 114
 
3.9%
평 114
 
3.9%
시 113
 
3.9%
울 112
 
3.8%
서 112
 
3.8%
별 112
 
3.8%
Other values (109) 1328
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1726
59.0%
Space Separator 555
 
19.0%
Decimal Number 514
 
17.6%
Dash Punctuation 100
 
3.4%
Uppercase Letter 16
 
0.5%
Other Punctuation 9
 
0.3%
Math Symbol 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 121
 
7.0%
은 117
 
6.8%
동 114
 
6.6%
평 114
 
6.6%
시 113
 
6.5%
울 112
 
6.5%
서 112
 
6.5%
별 112
 
6.5%
특 112
 
6.5%
지 110
 
6.4%
Other values (87) 589
34.1%
Decimal Number
ValueCountFrequency (%)
1 125
24.3%
2 67
13.0%
5 49
 
9.5%
0 47
 
9.1%
4 44
 
8.6%
3 44
 
8.6%
6 40
 
7.8%
9 38
 
7.4%
7 34
 
6.6%
8 26
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
P 3
18.8%
T 3
18.8%
A 3
18.8%
B 3
18.8%
S 1
 
6.2%
O 1
 
6.2%
R 1
 
6.2%
E 1
 
6.2%
Space Separator
ValueCountFrequency (%)
555
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1726
59.0%
Common 1181
40.4%
Latin 16
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 121
 
7.0%
은 117
 
6.8%
동 114
 
6.6%
평 114
 
6.6%
시 113
 
6.5%
울 112
 
6.5%
서 112
 
6.5%
별 112
 
6.5%
특 112
 
6.5%
지 110
 
6.4%
Other values (87) 589
34.1%
Common
ValueCountFrequency (%)
555
47.0%
1 125
 
10.6%
- 100
 
8.5%
2 67
 
5.7%
5 49
 
4.1%
0 47
 
4.0%
4 44
 
3.7%
3 44
 
3.7%
6 40
 
3.4%
9 38
 
3.2%
Other values (4) 72
 
6.1%
Latin
ValueCountFrequency (%)
P 3
18.8%
T 3
18.8%
A 3
18.8%
B 3
18.8%
S 1
 
6.2%
O 1
 
6.2%
R 1
 
6.2%
E 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1726
59.0%
ASCII 1197
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
555
46.4%
1 125
 
10.4%
- 100
 
8.4%
2 67
 
5.6%
5 49
 
4.1%
0 47
 
3.9%
4 44
 
3.7%
3 44
 
3.7%
6 40
 
3.3%
9 38
 
3.2%
Other values (12) 88
 
7.4%
Hangul
ValueCountFrequency (%)
구 121
 
7.0%
은 117
 
6.8%
동 114
 
6.6%
평 114
 
6.6%
시 113
 
6.5%
울 112
 
6.5%
서 112
 
6.5%
별 112
 
6.5%
특 112
 
6.5%
지 110
 
6.4%
Other values (87) 589
34.1%

도로명주소
Text

MISSING 

Distinct110
Distinct (%)100.0%
Missing3
Missing (%)2.7%
Memory size1.0 KiB
2024-05-11T04:39:27.025939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length41
Mean length30.509091
Min length21

Characters and Unicode

Total characters3356
Distinct characters140
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

Unique110 ?
Unique (%)100.0%

Sample

1st row서울특별시 은평구 서오릉로2길 12 (녹번동)
2nd row서울특별시 은평구 응암로 269, 지층 (응암동)
3rd row서울특별시 은평구 연서로 297, 지층 (불광동)
4th row서울특별시 은평구 통일로83길 21 (갈현동)
5th row서울특별시 은평구 증산로3길 8 (증산동)
ValueCountFrequency (%)
은평구 111
 
16.9%
서울특별시 110
 
16.7%
지층 21
 
3.2%
서오릉로 18
 
2.7%
응암동 15
 
2.3%
갈현동 14
 
2.1%
은평로 12
 
1.8%
역촌동 11
 
1.7%
2층 10
 
1.5%
불광동 10
 
1.5%
Other values (218) 326
49.5%
2024-05-11T04:39:28.136791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
588
 
17.5%
서 148
 
4.4%
은 134
 
4.0%
평 131
 
3.9%
구 119
 
3.5%
동 112
 
3.3%
시 111
 
3.3%
로 110
 
3.3%
( 110
 
3.3%
) 110
 
3.3%
Other values (130) 1683
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1974
58.8%
Space Separator 588
 
17.5%
Decimal Number 438
 
13.1%
Open Punctuation 110
 
3.3%
Close Punctuation 110
 
3.3%
Other Punctuation 98
 
2.9%
Dash Punctuation 18
 
0.5%
Uppercase Letter 17
 
0.5%
Math Symbol 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 148
 
7.5%
은 134
 
6.8%
평 131
 
6.6%
구 119
 
6.0%
동 112
 
5.7%
시 111
 
5.6%
로 110
 
5.6%
울 110
 
5.6%
별 110
 
5.6%
특 110
 
5.6%
Other values (106) 779
39.5%
Decimal Number
ValueCountFrequency (%)
1 103
23.5%
2 77
17.6%
3 57
13.0%
0 35
 
8.0%
7 34
 
7.8%
6 32
 
7.3%
8 29
 
6.6%
4 25
 
5.7%
5 24
 
5.5%
9 22
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 4
23.5%
A 3
17.6%
P 3
17.6%
T 3
17.6%
E 1
 
5.9%
R 1
 
5.9%
S 1
 
5.9%
O 1
 
5.9%
Space Separator
ValueCountFrequency (%)
588
100.0%
Open Punctuation
ValueCountFrequency (%)
( 110
100.0%
Close Punctuation
ValueCountFrequency (%)
) 110
100.0%
Other Punctuation
ValueCountFrequency (%)
, 98
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1974
58.8%
Common 1365
40.7%
Latin 17
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 148
 
7.5%
은 134
 
6.8%
평 131
 
6.6%
구 119
 
6.0%
동 112
 
5.7%
시 111
 
5.6%
로 110
 
5.6%
울 110
 
5.6%
별 110
 
5.6%
특 110
 
5.6%
Other values (106) 779
39.5%
Common
ValueCountFrequency (%)
588
43.1%
( 110
 
8.1%
) 110
 
8.1%
1 103
 
7.5%
, 98
 
7.2%
2 77
 
5.6%
3 57
 
4.2%
0 35
 
2.6%
7 34
 
2.5%
6 32
 
2.3%
Other values (6) 121
 
8.9%
Latin
ValueCountFrequency (%)
B 4
23.5%
A 3
17.6%
P 3
17.6%
T 3
17.6%
E 1
 
5.9%
R 1
 
5.9%
S 1
 
5.9%
O 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1974
58.8%
ASCII 1382
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
588
42.5%
( 110
 
8.0%
) 110
 
8.0%
1 103
 
7.5%
, 98
 
7.1%
2 77
 
5.6%
3 57
 
4.1%
0 35
 
2.5%
7 34
 
2.5%
6 32
 
2.3%
Other values (14) 138
 
10.0%
Hangul
ValueCountFrequency (%)
서 148
 
7.5%
은 134
 
6.8%
평 131
 
6.6%
구 119
 
6.0%
동 112
 
5.7%
시 111
 
5.6%
로 110
 
5.6%
울 110
 
5.6%
별 110
 
5.6%
특 110
 
5.6%
Other values (106) 779
39.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)81.5%
Missing48
Missing (%)42.5%
Infinite0
Infinite (%)0.0%
Mean7063.3385
Minimum3300
Maximum122923
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T04:39:28.570487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3300
5-th percentile3310.4
Q13344
median3398
Q33458
95-th percentile3499.4
Maximum122923
Range119623
Interquartile range (IQR)114

Descriptive statistics

Standard deviation20724.8
Coefficient of variation (CV)2.9341367
Kurtosis29.872949
Mean7063.3385
Median Absolute Deviation (MAD)56
Skewness5.5635893
Sum459117
Variance4.2951735 × 108
MonotonicityNot monotonic
2024-05-11T04:39:29.049732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3412 3
 
2.7%
3300 2
 
1.8%
3343 2
 
1.8%
3392 2
 
1.8%
3405 2
 
1.8%
3462 2
 
1.8%
3497 2
 
1.8%
3454 2
 
1.8%
3500 2
 
1.8%
3336 2
 
1.8%
Other values (43) 44
38.9%
(Missing) 48
42.5%
ValueCountFrequency (%)
3300 2
1.8%
3301 1
0.9%
3306 1
0.9%
3328 1
0.9%
3329 2
1.8%
3330 1
0.9%
3331 1
0.9%
3332 1
0.9%
3333 1
0.9%
3336 2
1.8%
ValueCountFrequency (%)
122923 1
0.9%
122040 1
0.9%
3500 2
1.8%
3497 2
1.8%
3495 1
0.9%
3485 1
0.9%
3483 1
0.9%
3476 1
0.9%
3464 1
0.9%
3462 2
1.8%

사업장명
Text

Distinct110
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-05-11T04:39:29.906307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length7.699115
Min length4

Characters and Unicode

Total characters870
Distinct characters159
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107 ?
Unique (%)94.7%

Sample

1st row일진실내골프연습장
2nd rowPGA 스크린골프연습장
3rd row위닝샷 골프스쿨
4th rowP.G.A골프스쿨
5th row증산골프연습장
ValueCountFrequency (%)
b 4
 
3.0%
골프 3
 
2.2%
연세골프연습장 2
 
1.5%
2
 
1.5%
골프연습장 2
 
1.5%
청원골프아카데미 2
 
1.5%
은평골프연습장 2
 
1.5%
은평로데오 1
 
0.7%
삼정스포츠(삼정골프 1
 
0.7%
g스크린 1
 
0.7%
Other values (114) 114
85.1%
2024-05-11T04:39:31.246495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
프 104
 
12.0%
골 102
 
11.7%
스 60
 
6.9%
연 39
 
4.5%
장 37
 
4.3%
습 36
 
4.1%
크 27
 
3.1%
린 23
 
2.6%
21
 
2.4%
이 17
 
2.0%
Other values (149) 404
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 796
91.5%
Uppercase Letter 27
 
3.1%
Space Separator 21
 
2.4%
Open Punctuation 9
 
1.0%
Close Punctuation 9
 
1.0%
Other Punctuation 5
 
0.6%
Decimal Number 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
프 104
 
13.1%
골 102
 
12.8%
스 60
 
7.5%
연 39
 
4.9%
장 37
 
4.6%
습 36
 
4.5%
크 27
 
3.4%
린 23
 
2.9%
이 17
 
2.1%
쿨 13
 
1.6%
Other values (129) 338
42.5%
Uppercase Letter
ValueCountFrequency (%)
G 5
18.5%
S 4
14.8%
B 4
14.8%
J 2
 
7.4%
M 2
 
7.4%
P 2
 
7.4%
A 2
 
7.4%
O 2
 
7.4%
R 1
 
3.7%
D 1
 
3.7%
Other values (2) 2
 
7.4%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
6 1
33.3%
5 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
& 2
40.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 796
91.5%
Common 47
 
5.4%
Latin 27
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
프 104
 
13.1%
골 102
 
12.8%
스 60
 
7.5%
연 39
 
4.9%
장 37
 
4.6%
습 36
 
4.5%
크 27
 
3.4%
린 23
 
2.9%
이 17
 
2.1%
쿨 13
 
1.6%
Other values (129) 338
42.5%
Latin
ValueCountFrequency (%)
G 5
18.5%
S 4
14.8%
B 4
14.8%
J 2
 
7.4%
M 2
 
7.4%
P 2
 
7.4%
A 2
 
7.4%
O 2
 
7.4%
R 1
 
3.7%
D 1
 
3.7%
Other values (2) 2
 
7.4%
Common
ValueCountFrequency (%)
21
44.7%
( 9
19.1%
) 9
19.1%
. 3
 
6.4%
& 2
 
4.3%
3 1
 
2.1%
6 1
 
2.1%
5 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 796
91.5%
ASCII 74
 
8.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
프 104
 
13.1%
골 102
 
12.8%
스 60
 
7.5%
연 39
 
4.9%
장 37
 
4.6%
습 36
 
4.5%
크 27
 
3.4%
린 23
 
2.9%
이 17
 
2.1%
쿨 13
 
1.6%
Other values (129) 338
42.5%
ASCII
ValueCountFrequency (%)
21
28.4%
( 9
12.2%
) 9
12.2%
G 5
 
6.8%
S 4
 
5.4%
B 4
 
5.4%
. 3
 
4.1%
& 2
 
2.7%
J 2
 
2.7%
M 2
 
2.7%
Other values (10) 13
17.6%

최종수정일자
Date

UNIQUE 

Distinct113
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2005-10-31 15:48:37
Maximum2024-04-09 11:13:09
2024-05-11T04:39:31.757644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:39:32.306804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
U
64 
I
49 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 64
56.6%
I 49
43.4%

Length

2024-05-11T04:39:32.954600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:33.393002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 64
56.6%
i 49
43.4%

데이터갱신일자
Date

Distinct39
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:01:00
2024-05-11T04:39:33.709919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:39:34.120048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing113
Missing (%)100.0%
Memory size1.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)85.5%
Missing3
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean192799.8
Minimum190202.21
Maximum195358.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T04:39:34.866430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190202.21
5-th percentile191629.54
Q1192450.7
median192721.85
Q3193131.48
95-th percentile194020.87
Maximum195358.54
Range5156.3233
Interquartile range (IQR)680.78865

Descriptive statistics

Standard deviation700.01665
Coefficient of variation (CV)0.0036307955
Kurtosis2.3431869
Mean192799.8
Median Absolute Deviation (MAD)328.48374
Skewness0.15088912
Sum21207978
Variance490023.31
MonotonicityNot monotonic
2024-05-11T04:39:35.781060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192874.914883743 3
 
2.7%
192443.706707331 2
 
1.8%
192399.961384042 2
 
1.8%
192700.377628737 2
 
1.8%
193138.743580345 2
 
1.8%
192549.616826643 2
 
1.8%
193079.771406629 2
 
1.8%
193019.403382395 2
 
1.8%
191990.400785052 2
 
1.8%
192584.639355994 2
 
1.8%
Other values (84) 89
78.8%
(Missing) 3
 
2.7%
ValueCountFrequency (%)
190202.21245041 1
0.9%
191502.302157291 1
0.9%
191532.977877537 1
0.9%
191591.950321645 2
1.8%
191621.294662216 1
0.9%
191639.624719733 1
0.9%
191883.21976771 1
0.9%
191910.188821954 1
0.9%
191990.400785052 2
1.8%
192009.543853115 1
0.9%
ValueCountFrequency (%)
195358.535748819 1
0.9%
194430.530275405 1
0.9%
194228.02282041 1
0.9%
194118.644125566 1
0.9%
194046.732973033 1
0.9%
194035.729860403 1
0.9%
194002.701726955 1
0.9%
193911.985578163 1
0.9%
193845.201366194 1
0.9%
193670.304074665 2
1.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)85.5%
Missing3
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean456012.43
Minimum453184.15
Maximum461455.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T04:39:36.614100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum453184.15
5-th percentile453658.6
Q1455247.63
median455976.45
Q3456771.47
95-th percentile457924.9
Maximum461455.88
Range8271.724
Interquartile range (IQR)1523.8485

Descriptive statistics

Standard deviation1456.1081
Coefficient of variation (CV)0.0031931324
Kurtosis1.3246583
Mean456012.43
Median Absolute Deviation (MAD)790.90455
Skewness0.49420018
Sum50161367
Variance2120250.7
MonotonicityNot monotonic
2024-05-11T04:39:37.082383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
455280.772090857 3
 
2.7%
456716.703095364 2
 
1.8%
454944.089206384 2
 
1.8%
455276.729077644 2
 
1.8%
455325.930943773 2
 
1.8%
454107.775419366 2
 
1.8%
455807.011599201 2
 
1.8%
456302.92877653 2
 
1.8%
455443.231512826 2
 
1.8%
456538.922729473 2
 
1.8%
Other values (84) 89
78.8%
(Missing) 3
 
2.7%
ValueCountFrequency (%)
453184.152552644 1
0.9%
453207.669795401 1
0.9%
453216.805052604 2
1.8%
453519.463895899 1
0.9%
453655.528719837 1
0.9%
453662.359135133 1
0.9%
453767.917051932 1
0.9%
453842.02636248 1
0.9%
453961.593639404 1
0.9%
454004.77855864 1
0.9%
ValueCountFrequency (%)
461455.876513588 1
0.9%
459703.972784634 2
1.8%
459540.593409197 1
0.9%
457936.994776678 1
0.9%
457931.063932548 1
0.9%
457917.363178268 1
0.9%
457818.396191342 1
0.9%
457764.196666586 1
0.9%
457686.666766178 1
0.9%
457611.926155564 1
0.9%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
골프연습장업
93 
<NA>
20 

Length

Max length6
Median length6
Mean length5.6460177
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
골프연습장업 93
82.3%
<NA> 20
 
17.7%

Length

2024-05-11T04:39:37.572618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:37.887420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
골프연습장업 93
82.3%
na 20
 
17.7%

공사립구분명
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
사립
93 
<NA>
20 

Length

Max length4
Median length2
Mean length2.3539823
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 93
82.3%
<NA> 20
 
17.7%

Length

2024-05-11T04:39:38.211190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:38.627586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 93
82.3%
na 20
 
17.7%

보험가입여부코드
Categorical

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
93 
0
16 
Y
 
4

Length

Max length4
Median length4
Mean length3.4690265
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> 93
82.3%
0 16
 
14.2%
Y 4
 
3.5%

Length

2024-05-11T04:39:38.943198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:39.248710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 93
82.3%
0 16
 
14.2%
y 4
 
3.5%

지도자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
109 
0
 
2
1
 
1
2
 
1

Length

Max length4
Median length4
Mean length3.8938053
Min length1

Unique

Unique2 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 109
96.5%
0 2
 
1.8%
1 1
 
0.9%
2 1
 
0.9%

Length

2024-05-11T04:39:39.596313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:40.144137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 109
96.5%
0 2
 
1.8%
1 1
 
0.9%
2 1
 
0.9%

건축물동수
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
104 
1
 
7
0
 
2

Length

Max length4
Median length4
Mean length3.7610619
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> 104
92.0%
1 7
 
6.2%
0 2
 
1.8%

Length

2024-05-11T04:39:40.582377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:41.003214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
92.0%
1 7
 
6.2%
0 2
 
1.8%

건축물연면적
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)100.0%
Missing92
Missing (%)81.4%
Infinite0
Infinite (%)0.0%
Mean1988.0548
Minimum0
Maximum15764.23
Zeros1
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T04:39:41.495671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile145
Q1218.58
median769.72
Q31729.69
95-th percentile7139.35
Maximum15764.23
Range15764.23
Interquartile range (IQR)1511.11

Descriptive statistics

Standard deviation3590.7531
Coefficient of variation (CV)1.8061641
Kurtosis11.466404
Mean1988.0548
Median Absolute Deviation (MAD)582.72
Skewness3.2314679
Sum41749.15
Variance12893508
MonotonicityNot monotonic
2024-05-11T04:39:41.935565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
190.02 1
 
0.9%
1729.69 1
 
0.9%
315.77 1
 
0.9%
4408.5 1
 
0.9%
15764.23 1
 
0.9%
1496.68 1
 
0.9%
187.0 1
 
0.9%
145.0 1
 
0.9%
245.0 1
 
0.9%
199.47 1
 
0.9%
Other values (11) 11
 
9.7%
(Missing) 92
81.4%
ValueCountFrequency (%)
0.0 1
0.9%
145.0 1
0.9%
187.0 1
0.9%
190.02 1
0.9%
199.47 1
0.9%
218.58 1
0.9%
245.0 1
0.9%
315.77 1
0.9%
392.76 1
0.9%
541.32 1
0.9%
ValueCountFrequency (%)
15764.23 1
0.9%
7139.35 1
0.9%
4408.5 1
0.9%
2806.77 1
0.9%
1915.62 1
0.9%
1729.69 1
0.9%
1496.68 1
0.9%
1433.32 1
0.9%
1045.0 1
0.9%
805.35 1
0.9%

회원모집총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
111 
0
 
2

Length

Max length4
Median length4
Mean length3.9469027
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> 111
98.2%
0 2
 
1.8%

Length

2024-05-11T04:39:42.435756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:42.767814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 111
98.2%
0 2
 
1.8%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing113
Missing (%)100.0%
Memory size1.1 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing113
Missing (%)100.0%
Memory size1.1 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03110000CDFH330105199300000119930712<NA>3폐업3폐업20101231<NA><NA><NA>383-2949<NA>122835서울특별시 은평구 녹번동 183-2번지서울특별시 은평구 서오릉로2길 12 (녹번동)<NA>일진실내골프연습장2011-01-17 14:27:50I2018-08-31 23:59:59.0<NA>193564.406378455538.084325골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
13110000CDFH330105199400000119940114<NA>1영업/정상13영업중<NA><NA><NA><NA>382-3651<NA><NA>서울특별시 은평구 응암동 119-1번지 지층서울특별시 은평구 응암로 269, 지층 (응암동)3455PGA 스크린골프연습장2019-04-01 11:19:19U2019-04-03 02:40:00.0<NA>192762.20687454855.685263골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
23110000CDFH33010519940000021994-09-06<NA>3폐업3폐업2024-02-17<NA><NA><NA>353-3351<NA><NA>서울특별시 은평구 불광동 430-5 지층서울특별시 은평구 연서로 297, 지층 (불광동)3343위닝샷 골프스쿨2024-02-19 10:03:30U2023-12-01 22:01:00.0<NA>193449.235234457764.196667<NA><NA><NA><NA><NA><NA><NA><NA><NA>
33110000CDFH330105199400000419941104<NA>3폐업3폐업20100831<NA><NA><NA>388-6182<NA>122811서울특별시 은평구 갈현동 430-2번지서울특별시 은평구 통일로83길 21 (갈현동)<NA>P.G.A골프스쿨2010-08-31 11:22:04I2018-08-31 23:59:59.0<NA>192642.970587457590.299822골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
43110000CDFH330105199400000519941222<NA>1영업/정상13영업중<NA><NA><NA><NA>374-1391<NA><NA>서울특별시 은평구 증산동 176-7번지서울특별시 은평구 증산로3길 8 (증산동)3500증산골프연습장2019-04-01 11:19:59U2019-04-03 02:40:00.0<NA>191591.950322453216.805053골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
53110000CDFH330105199500000119950222<NA>1영업/정상13영업중<NA><NA><NA><NA>388-1515<NA><NA>서울특별시 은평구 역촌동 16-2번지 2층서울특별시 은평구 서오릉로 71, 영화마스타골프랜드 2층 (역촌동)3404홀인원골프연습장2019-04-01 11:23:43U2019-04-03 02:40:00.0<NA>193053.432187456056.058391골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
63110000CDFH330105199500000219950228<NA>3폐업3폐업20080311<NA><NA><NA>386-1188<NA>122829서울특별시 은평구 녹번동 86번지서울특별시 은평구 은평로21길 52 (녹번동)<NA>은평골프연습장2008-03-24 11:50:04I2018-08-31 23:59:59.0<NA>193670.304075455703.069551골프연습장업사립0<NA><NA><NA><NA><NA><NA>
73110000CDFH330105199600000119961206<NA>3폐업3폐업20010202<NA><NA><NA>389-6904<NA>122813서울특별시 은평구 갈현동 469-1번지서울특별시 은평구 서오릉로 174 (갈현동)<NA>일류골프연습장2006-03-21 11:22:37I2018-08-31 23:59:59.0<NA>192371.887221456759.10215골프연습장업사립0<NA><NA><NA><NA><NA><NA>
83110000CDFH330105200000000120000323<NA>3폐업3폐업20100831<NA><NA><NA>358-2691<NA>122801서울특별시 은평구 갈현동 110-5번지서울특별시 은평구 연서로27길 19 (갈현동)<NA>스윙골프스쿨2010-08-31 11:21:20I2018-08-31 23:59:59.0<NA>192619.516602457318.595371골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
93110000CDFH330105200000000220001226<NA>3폐업3폐업20161102<NA><NA><NA><NA><NA>122857서울특별시 은평구 불광동 248번지 미성아파트 상가 2층 9호서울특별시 은평구 통일로 780 (불광동,미성아파트 상가 2층 9호)<NA>미성골프스쿨2016-11-02 17:48:58I2018-08-31 23:59:59.0<NA>193600.888432456957.23358골프연습장업사립0<NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
1033110000CDFH330105201800000120180207<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7644-0753<NA><NA>서울특별시 은평구 응암동 599-47번지 지층서울특별시 은평구 응암로13길 11-2, 지층 (응암동)3485제이투 스크린2020-02-04 09:05:06U2020-02-06 02:40:00.0<NA>192511.57597454088.220981골프연습장업사립<NA><NA>11496.68<NA><NA><NA>
1043110000CDFH330105201800000220180510<NA>1영업/정상13영업중<NA><NA><NA><NA>02-387-0753<NA><NA>서울특별시 은평구 진관동 67-1 은평구 뉴타운2지구 에코테라스 208호서울특별시 은평구 진관3로 37, 은평구 뉴타운2지구 에코테라스 2층 208호 (진관동)3301골프존파크 진관뉴타운점2020-12-22 09:52:38U2020-12-24 02:40:00.0<NA>192800.902228459540.593409골프연습장업사립<NA><NA>115764.23<NA><NA><NA>
1053110000CDFH330105201800000320181011<NA>1영업/정상13영업중<NA><NA><NA><NA>02-357-7001<NA><NA>서울특별시 은평구 진관동 70 메트로프라자 205, 206호서울특별시 은평구 진관2로 15-46, 메트로프라자 205,206호 (진관동)3306랭크골프아카데미(은평점)2022-12-12 09:35:16U2021-11-01 23:04:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1063110000CDFH330105201800000420181221<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4206-7722<NA><NA>서울특별시 은평구 진관동 60번지 은평뉴타운 솔하임 A동 B102호서울특별시 은평구 통일로 1080, 은평뉴타운솔하임 A동 지층 B102호 (진관동)3300GDR레슨파크2020-02-04 09:06:10U2020-02-06 02:40:00.0<NA>192702.578807459703.972785골프연습장업사립<NA><NA><NA>4408.5<NA><NA><NA>
1073110000CDFH33010520190000012019-05-31<NA>1영업/정상13영업중<NA><NA><NA><NA>02-352-0125<NA><NA>서울특별시 은평구 증산동 257 1층서울특별시 은평구 증산로 315, 1층 (증산동)3497베로니스골프존2024-03-11 11:08:04U2023-12-02 23:03:00.0<NA>192028.562677453655.52872<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1083110000CDFH330105201900000220191126<NA>1영업/정상13영업중<NA><NA><NA><NA>02-382-1872<NA><NA>서울특별시 은평구 녹번동 38-29번지 유림빌딩 지층서울특별시 은평구 통일로 626, 유림빌딩 지하1층 (녹번동)3372양기욱골프아카데미2019-11-26 17:42:35I2019-11-28 00:23:35.0<NA>194228.02282455582.763189골프연습장업사립Y<NA>1315.77<NA><NA><NA>
1093110000CDFH330105202000000120200121<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6326-1872<NA><NA>서울특별시 은평구 증산동 177-6 지하1~지상2층서울특별시 은평구 증산로 253, 원일빌딩 지하1~지상2층 (증산동)3500(주)더로얄골프클럽2022-02-16 13:55:57U2022-02-18 02:40:00.0<NA>191621.294662453184.152553골프연습장업사립<NA>001729.690<NA><NA>
1103110000CDFH330105202100000120210401<NA>1영업/정상13영업중<NA><NA><NA><NA>023888117<NA><NA>서울특별시 은평구 응암동 98-65 은경빌딩 6,7층서울특별시 은평구 은평로 136, 은경빌딩 6,7층 (응암동)3462청원골프아카데미2022-12-19 15:49:57U2021-11-01 22:01:00.0<NA>193138.74358455325.930944<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1113110000CDFH330105202200000120220614<NA>1영업/정상13영업중<NA><NA><NA><NA>02-382-4842<NA><NA>서울특별시 은평구 구산동 1-24 상원빌딩서울특별시 은평구 서오릉로 145, 상원빌딩 6층 (구산동)3412상원골프2022-11-09 09:40:26U2021-10-31 23:01:00.0<NA>192563.874496456570.084566<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1123110000CDFH33010520230000012023-04-24<NA>1영업/정상13영업중<NA><NA><NA><NA>02-388-0753<NA><NA>서울특별시 은평구 구산동 1-1서울특별시 은평구 연서로 137, B1층 (구산동)3412SG골프 은평점2023-04-24 09:14:48I2022-12-03 22:06:00.0<NA>192584.639356456538.922729<NA><NA><NA><NA><NA><NA><NA><NA><NA>