Overview

Dataset statistics

Number of variables34
Number of observations144
Missing cells1412
Missing cells (%)28.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory41.2 KiB
Average record size in memory292.9 B

Variable types

Categorical13
Text5
DateTime3
Unsupported7
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
Author서대문구
URLhttps://data.seoul.go.kr/dataList/OA-19839/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
보험가입여부코드 is highly imbalanced (56.3%)Imbalance
회원모집총인원 is highly imbalanced (94.0%)Imbalance
인허가취소일자 has 144 (100.0%) missing valuesMissing
폐업일자 has 72 (50.0%) missing valuesMissing
휴업시작일자 has 144 (100.0%) missing valuesMissing
휴업종료일자 has 144 (100.0%) missing valuesMissing
재개업일자 has 144 (100.0%) missing valuesMissing
전화번호 has 79 (54.9%) missing valuesMissing
소재지면적 has 144 (100.0%) missing valuesMissing
소재지우편번호 has 82 (56.9%) missing valuesMissing
지번주소 has 14 (9.7%) missing valuesMissing
도로명주소 has 7 (4.9%) missing valuesMissing
도로명우편번호 has 43 (29.9%) missing valuesMissing
좌표정보(X) has 5 (3.5%) missing valuesMissing
좌표정보(Y) has 5 (3.5%) missing valuesMissing
건축물연면적 has 97 (67.4%) missing valuesMissing
세부업종명 has 144 (100.0%) missing valuesMissing
법인명 has 144 (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
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 36 (25.0%) zerosZeros

Reproduction

Analysis started2024-05-11 06:15:06.445974
Analysis finished2024-05-11 06:15:07.143592
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
3120000
144 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3120000
2nd row3120000
3rd row3120000
4th row3120000
5th row3120000

Common Values

ValueCountFrequency (%)
3120000 144
100.0%

Length

2024-05-11T15:15:07.222570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:07.342849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3120000 144
100.0%

관리번호
Text

UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-05-11T15:15:07.549500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2880
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

Unique144 ?
Unique (%)100.0%

Sample

1st rowCDFH3301021971000001
2nd rowCDFH3301021982000002
3rd rowCDFH3301021984000001
4th rowCDFH3301021985000001
5th rowCDFH3301021989000001
ValueCountFrequency (%)
cdfh3301021971000001 1
 
0.7%
cdfh3301021982000002 1
 
0.7%
cdfh3301022013000002 1
 
0.7%
cdfh3301022011000002 1
 
0.7%
cdfh3301022011000003 1
 
0.7%
cdfh3301022011000004 1
 
0.7%
cdfh3301022011000005 1
 
0.7%
cdfh3301022012000003 1
 
0.7%
cdfh3301022013000001 1
 
0.7%
cdfh3301022013000003 1
 
0.7%
Other values (134) 134
93.1%
2024-05-11T15:15:08.091802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1147
39.8%
3 327
 
11.4%
1 300
 
10.4%
2 291
 
10.1%
C 144
 
5.0%
D 144
 
5.0%
F 144
 
5.0%
H 144
 
5.0%
9 122
 
4.2%
4 30
 
1.0%
Other values (4) 87
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2304
80.0%
Uppercase Letter 576
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1147
49.8%
3 327
 
14.2%
1 300
 
13.0%
2 291
 
12.6%
9 122
 
5.3%
4 30
 
1.3%
5 30
 
1.3%
8 23
 
1.0%
7 19
 
0.8%
6 15
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
C 144
25.0%
D 144
25.0%
F 144
25.0%
H 144
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2304
80.0%
Latin 576
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1147
49.8%
3 327
 
14.2%
1 300
 
13.0%
2 291
 
12.6%
9 122
 
5.3%
4 30
 
1.3%
5 30
 
1.3%
8 23
 
1.0%
7 19
 
0.8%
6 15
 
0.7%
Latin
ValueCountFrequency (%)
C 144
25.0%
D 144
25.0%
F 144
25.0%
H 144
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2880
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1147
39.8%
3 327
 
11.4%
1 300
 
10.4%
2 291
 
10.1%
C 144
 
5.0%
D 144
 
5.0%
F 144
 
5.0%
H 144
 
5.0%
9 122
 
4.2%
4 30
 
1.0%
Other values (4) 87
 
3.0%

인허가일자
Date

Distinct138
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum1971-02-04 00:00:00
Maximum2024-02-19 00:00:00
2024-05-11T15:15:08.313910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:15:08.517688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing144
Missing (%)100.0%
Memory size1.4 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
1
72 
3
68 
4
 
4

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 72
50.0%
3 68
47.2%
4 4
 
2.8%

Length

2024-05-11T15:15:08.746902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:08.930995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 72
50.0%
3 68
47.2%
4 4
 
2.8%

영업상태명
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
영업/정상
72 
폐업
68 
취소/말소/만료/정지/중지
 
4

Length

Max length14
Median length9.5
Mean length3.8333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 72
50.0%
폐업 68
47.2%
취소/말소/만료/정지/중지 4
 
2.8%

Length

2024-05-11T15:15:09.103144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:09.544076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 72
50.0%
폐업 68
47.2%
취소/말소/만료/정지/중지 4
 
2.8%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
13
72 
3
68 
35
 
4

Length

Max length2
Median length2
Mean length1.5277778
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 72
50.0%
3 68
47.2%
35 4
 
2.8%

Length

2024-05-11T15:15:09.717041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:09.891136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 72
50.0%
3 68
47.2%
35 4
 
2.8%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
영업중
72 
폐업
68 
직권말소
 
4

Length

Max length4
Median length3.5
Mean length2.5555556
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 72
50.0%
폐업 68
47.2%
직권말소 4
 
2.8%

Length

2024-05-11T15:15:10.076108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:10.283775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 72
50.0%
폐업 68
47.2%
직권말소 4
 
2.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)79.2%
Missing72
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean20121751
Minimum19980629
Maximum20221228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T15:15:10.488228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980629
5-th percentile19990689
Q120060201
median20140870
Q320183431
95-th percentile20220914
Maximum20221228
Range240599
Interquartile range (IQR)123230

Descriptive statistics

Standard deviation76015.549
Coefficient of variation (CV)0.00377778
Kurtosis-1.062074
Mean20121751
Median Absolute Deviation (MAD)59832.5
Skewness-0.51092246
Sum1.4487661 × 109
Variance5.7783637 × 109
MonotonicityNot monotonic
2024-05-11T15:15:10.700095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200702 7
 
4.9%
20170425 5
 
3.5%
20220914 4
 
2.8%
20120131 2
 
1.4%
20070706 2
 
1.4%
20070508 1
 
0.7%
20001227 1
 
0.7%
20060123 1
 
0.7%
20040204 1
 
0.7%
20040101 1
 
0.7%
Other values (47) 47
32.6%
(Missing) 72
50.0%
ValueCountFrequency (%)
19980629 1
0.7%
19981028 1
0.7%
19981204 1
0.7%
19990308 1
0.7%
19991001 1
0.7%
19991125 1
0.7%
19991214 1
0.7%
20000111 1
0.7%
20001227 1
0.7%
20001230 1
0.7%
ValueCountFrequency (%)
20221228 1
 
0.7%
20220914 4
2.8%
20210202 1
 
0.7%
20201209 1
 
0.7%
20200702 7
4.9%
20200325 1
 
0.7%
20191126 1
 
0.7%
20190410 1
 
0.7%
20190409 1
 
0.7%
20181105 1
 
0.7%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing144
Missing (%)100.0%
Memory size1.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing144
Missing (%)100.0%
Memory size1.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing144
Missing (%)100.0%
Memory size1.4 KiB

전화번호
Text

MISSING 

Distinct62
Distinct (%)95.4%
Missing79
Missing (%)54.9%
Memory size1.3 KiB
2024-05-11T15:15:10.998114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.584615
Min length8

Characters and Unicode

Total characters688
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)90.8%

Sample

1st row02-395-3159
2nd row02-364-1818
3rd row02 739 7727
4th row3216-1844
5th row02 324 4149
ValueCountFrequency (%)
02 22
 
20.8%
023753500 2
 
1.9%
02-313-0648 2
 
1.9%
372 2
 
1.9%
02-3141-1287 2
 
1.9%
313 2
 
1.9%
396 2
 
1.9%
312-9393 1
 
0.9%
364-7989 1
 
0.9%
302-5181 1
 
0.9%
Other values (69) 69
65.1%
2024-05-11T15:15:11.527811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 101
14.7%
2 98
14.2%
0 94
13.7%
- 65
9.4%
62
9.0%
1 52
7.6%
7 46
6.7%
5 36
 
5.2%
4 36
 
5.2%
6 36
 
5.2%
Other values (2) 62
9.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 561
81.5%
Dash Punctuation 65
 
9.4%
Space Separator 62
 
9.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 101
18.0%
2 98
17.5%
0 94
16.8%
1 52
9.3%
7 46
8.2%
5 36
 
6.4%
4 36
 
6.4%
6 36
 
6.4%
9 33
 
5.9%
8 29
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 65
100.0%
Space Separator
ValueCountFrequency (%)
62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 688
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 101
14.7%
2 98
14.2%
0 94
13.7%
- 65
9.4%
62
9.0%
1 52
7.6%
7 46
6.7%
5 36
 
5.2%
4 36
 
5.2%
6 36
 
5.2%
Other values (2) 62
9.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 688
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 101
14.7%
2 98
14.2%
0 94
13.7%
- 65
9.4%
62
9.0%
1 52
7.6%
7 46
6.7%
5 36
 
5.2%
4 36
 
5.2%
6 36
 
5.2%
Other values (2) 62
9.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing144
Missing (%)100.0%
Memory size1.4 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)61.3%
Missing82
Missing (%)56.9%
Infinite0
Infinite (%)0.0%
Mean120657.11
Minimum120060
Maximum120859
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T15:15:11.762372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum120060
5-th percentile120090.5
Q1120771.5
median120815.5
Q3120845.5
95-th percentile120856.95
Maximum120859
Range799
Interquartile range (IQR)74

Descriptive statistics

Standard deviation308.239
Coefficient of variation (CV)0.0025546691
Kurtosis-0.45353532
Mean120657.11
Median Absolute Deviation (MAD)30.5
Skewness-1.2343139
Sum7480741
Variance95011.282
MonotonicityNot monotonic
2024-05-11T15:15:11.974467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
120848 5
 
3.5%
120814 4
 
2.8%
120854 4
 
2.8%
120132 3
 
2.1%
120130 3
 
2.1%
120827 3
 
2.1%
120859 3
 
2.1%
120812 2
 
1.4%
120846 2
 
1.4%
120819 2
 
1.4%
Other values (28) 31
 
21.5%
(Missing) 82
56.9%
ValueCountFrequency (%)
120060 1
 
0.7%
120070 2
1.4%
120090 1
 
0.7%
120100 1
 
0.7%
120101 1
 
0.7%
120120 1
 
0.7%
120130 3
2.1%
120132 3
2.1%
120180 1
 
0.7%
120190 1
 
0.7%
ValueCountFrequency (%)
120859 3
2.1%
120857 1
 
0.7%
120856 1
 
0.7%
120854 4
2.8%
120848 5
3.5%
120846 2
 
1.4%
120844 1
 
0.7%
120841 1
 
0.7%
120837 1
 
0.7%
120836 1
 
0.7%

지번주소
Text

MISSING 

Distinct129
Distinct (%)99.2%
Missing14
Missing (%)9.7%
Memory size1.3 KiB
2024-05-11T15:15:12.368587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length38
Mean length26.715385
Min length20

Characters and Unicode

Total characters3473
Distinct characters106
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

Unique128 ?
Unique (%)98.5%

Sample

1st row서울특별시 서대문구 남가좌동 154-2
2nd row서울특별시 서대문구 연희동 78-1번지 3층호
3rd row서울특별시 서대문구 홍제동 266-152번지
4th row서울특별시 서대문구 남가좌동 7-2번지
5th row서울특별시 서대문구 홍은동 209-4 홍은어린이집
ValueCountFrequency (%)
서울특별시 130
21.0%
서대문구 130
21.0%
홍은동 27
 
4.4%
북가좌동 24
 
3.9%
홍제동 22
 
3.6%
남가좌동 19
 
3.1%
2층 14
 
2.3%
연희동 11
 
1.8%
지층 9
 
1.5%
북아현동 9
 
1.5%
Other values (185) 224
36.2%
2024-05-11T15:15:13.069681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
587
 
16.9%
서 260
 
7.5%
대 139
 
4.0%
동 134
 
3.9%
문 132
 
3.8%
특 130
 
3.7%
별 130
 
3.7%
시 130
 
3.7%
구 130
 
3.7%
울 130
 
3.7%
Other values (96) 1571
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2070
59.6%
Decimal Number 642
 
18.5%
Space Separator 587
 
16.9%
Dash Punctuation 111
 
3.2%
Close Punctuation 20
 
0.6%
Open Punctuation 17
 
0.5%
Other Punctuation 11
 
0.3%
Uppercase Letter 9
 
0.3%
Lowercase Letter 4
 
0.1%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 260
12.6%
대 139
 
6.7%
동 134
 
6.5%
문 132
 
6.4%
특 130
 
6.3%
별 130
 
6.3%
시 130
 
6.3%
구 130
 
6.3%
울 130
 
6.3%
지 110
 
5.3%
Other values (69) 645
31.2%
Decimal Number
ValueCountFrequency (%)
3 111
17.3%
1 108
16.8%
2 101
15.7%
4 67
10.4%
0 67
10.4%
7 47
7.3%
5 44
 
6.9%
9 36
 
5.6%
8 32
 
5.0%
6 29
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
B 3
33.3%
A 2
22.2%
K 1
 
11.1%
J 1
 
11.1%
T 1
 
11.1%
M 1
 
11.1%
Lowercase Letter
ValueCountFrequency (%)
e 1
25.0%
o 1
25.0%
w 1
25.0%
r 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 9
81.8%
@ 2
 
18.2%
Space Separator
ValueCountFrequency (%)
587
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 111
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2070
59.6%
Common 1390
40.0%
Latin 13
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 260
12.6%
대 139
 
6.7%
동 134
 
6.5%
문 132
 
6.4%
특 130
 
6.3%
별 130
 
6.3%
시 130
 
6.3%
구 130
 
6.3%
울 130
 
6.3%
지 110
 
5.3%
Other values (69) 645
31.2%
Common
ValueCountFrequency (%)
587
42.2%
- 111
 
8.0%
3 111
 
8.0%
1 108
 
7.8%
2 101
 
7.3%
4 67
 
4.8%
0 67
 
4.8%
7 47
 
3.4%
5 44
 
3.2%
9 36
 
2.6%
Other values (7) 111
 
8.0%
Latin
ValueCountFrequency (%)
B 3
23.1%
A 2
15.4%
K 1
 
7.7%
e 1
 
7.7%
J 1
 
7.7%
T 1
 
7.7%
o 1
 
7.7%
w 1
 
7.7%
r 1
 
7.7%
M 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2070
59.6%
ASCII 1403
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
587
41.8%
- 111
 
7.9%
3 111
 
7.9%
1 108
 
7.7%
2 101
 
7.2%
4 67
 
4.8%
0 67
 
4.8%
7 47
 
3.3%
5 44
 
3.1%
9 36
 
2.6%
Other values (17) 124
 
8.8%
Hangul
ValueCountFrequency (%)
서 260
12.6%
대 139
 
6.7%
동 134
 
6.5%
문 132
 
6.4%
특 130
 
6.3%
별 130
 
6.3%
시 130
 
6.3%
구 130
 
6.3%
울 130
 
6.3%
지 110
 
5.3%
Other values (69) 645
31.2%

도로명주소
Text

MISSING 

Distinct134
Distinct (%)97.8%
Missing7
Missing (%)4.9%
Memory size1.3 KiB
2024-05-11T15:15:13.632583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length40
Mean length31.124088
Min length23

Characters and Unicode

Total characters4264
Distinct characters142
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

Unique131 ?
Unique (%)95.6%

Sample

1st row서울특별시 서대문구 수색로2길 47, 2층 (남가좌동, 서중시장)
2nd row서울특별시 서대문구 연희로 185, 3층호 (연희동)
3rd row서울특별시 서대문구 세검정로 54 (홍제동)
4th row서울특별시 서대문구 명지대길 62 (남가좌동)
5th row서울특별시 서대문구 연희로41길 71, 홍은어린이집 2층 (홍은동)
ValueCountFrequency (%)
서울특별시 137
 
16.8%
서대문구 137
 
16.8%
홍은동 24
 
2.9%
2층 21
 
2.6%
북가좌동 18
 
2.2%
홍제동 18
 
2.2%
남가좌동 17
 
2.1%
응암로 14
 
1.7%
3층 14
 
1.7%
연희로 14
 
1.7%
Other values (228) 400
49.1%
2024-05-11T15:15:14.455447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
700
 
16.4%
서 276
 
6.5%
대 155
 
3.6%
동 150
 
3.5%
문 147
 
3.4%
) 145
 
3.4%
( 144
 
3.4%
울 141
 
3.3%
시 139
 
3.3%
별 138
 
3.2%
Other values (132) 2129
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2606
61.1%
Space Separator 700
 
16.4%
Decimal Number 507
 
11.9%
Close Punctuation 145
 
3.4%
Open Punctuation 144
 
3.4%
Other Punctuation 137
 
3.2%
Dash Punctuation 13
 
0.3%
Uppercase Letter 8
 
0.2%
Lowercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 276
 
10.6%
대 155
 
5.9%
동 150
 
5.8%
문 147
 
5.6%
울 141
 
5.4%
시 139
 
5.3%
별 138
 
5.3%
특 137
 
5.3%
구 137
 
5.3%
로 119
 
4.6%
Other values (106) 1067
40.9%
Decimal Number
ValueCountFrequency (%)
1 109
21.5%
2 72
14.2%
3 64
12.6%
4 48
9.5%
6 43
 
8.5%
0 43
 
8.5%
5 36
 
7.1%
8 36
 
7.1%
9 31
 
6.1%
7 25
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
M 2
25.0%
T 1
12.5%
K 1
12.5%
A 1
12.5%
D 1
12.5%
C 1
12.5%
J 1
12.5%
Lowercase Letter
ValueCountFrequency (%)
o 1
25.0%
r 1
25.0%
e 1
25.0%
w 1
25.0%
Space Separator
ValueCountFrequency (%)
700
100.0%
Close Punctuation
ValueCountFrequency (%)
) 145
100.0%
Open Punctuation
ValueCountFrequency (%)
( 144
100.0%
Other Punctuation
ValueCountFrequency (%)
, 137
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2606
61.1%
Common 1646
38.6%
Latin 12
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 276
 
10.6%
대 155
 
5.9%
동 150
 
5.8%
문 147
 
5.6%
울 141
 
5.4%
시 139
 
5.3%
별 138
 
5.3%
특 137
 
5.3%
구 137
 
5.3%
로 119
 
4.6%
Other values (106) 1067
40.9%
Common
ValueCountFrequency (%)
700
42.5%
) 145
 
8.8%
( 144
 
8.7%
, 137
 
8.3%
1 109
 
6.6%
2 72
 
4.4%
3 64
 
3.9%
4 48
 
2.9%
6 43
 
2.6%
0 43
 
2.6%
Other values (5) 141
 
8.6%
Latin
ValueCountFrequency (%)
M 2
16.7%
T 1
8.3%
o 1
8.3%
r 1
8.3%
e 1
8.3%
w 1
8.3%
K 1
8.3%
A 1
8.3%
D 1
8.3%
C 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2606
61.1%
ASCII 1658
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
700
42.2%
) 145
 
8.7%
( 144
 
8.7%
, 137
 
8.3%
1 109
 
6.6%
2 72
 
4.3%
3 64
 
3.9%
4 48
 
2.9%
6 43
 
2.6%
0 43
 
2.6%
Other values (16) 153
 
9.2%
Hangul
ValueCountFrequency (%)
서 276
 
10.6%
대 155
 
5.9%
동 150
 
5.8%
문 147
 
5.6%
울 141
 
5.4%
시 139
 
5.3%
별 138
 
5.3%
특 137
 
5.3%
구 137
 
5.3%
로 119
 
4.6%
Other values (106) 1067
40.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct67
Distinct (%)66.3%
Missing43
Missing (%)29.9%
Infinite0
Infinite (%)0.0%
Mean7166.1386
Minimum3602
Maximum120811
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T15:15:14.710441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3602
5-th percentile3612
Q13659
median3692
Q33733
95-th percentile3789
Maximum120811
Range117209
Interquartile range (IQR)74

Descriptive statistics

Standard deviation19939.646
Coefficient of variation (CV)2.7824812
Kurtosis30.232755
Mean7166.1386
Median Absolute Deviation (MAD)39
Skewness5.6243994
Sum723780
Variance3.9758947 × 108
MonotonicityNot monotonic
2024-05-11T15:15:14.981793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3659 4
 
2.8%
3612 4
 
2.8%
3789 3
 
2.1%
3733 3
 
2.1%
3678 3
 
2.1%
3691 3
 
2.1%
3710 3
 
2.1%
3777 2
 
1.4%
3709 2
 
1.4%
3690 2
 
1.4%
Other values (57) 72
50.0%
(Missing) 43
29.9%
ValueCountFrequency (%)
3602 1
 
0.7%
3604 1
 
0.7%
3605 1
 
0.7%
3612 4
2.8%
3616 1
 
0.7%
3619 1
 
0.7%
3625 2
1.4%
3632 2
1.4%
3633 2
1.4%
3635 1
 
0.7%
ValueCountFrequency (%)
120811 1
 
0.7%
120762 1
 
0.7%
120120 1
 
0.7%
3791 1
 
0.7%
3789 3
2.1%
3787 2
1.4%
3777 2
1.4%
3776 1
 
0.7%
3769 1
 
0.7%
3767 1
 
0.7%

사업장명
Text

Distinct139
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-05-11T15:15:15.576957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length14
Mean length7.5
Min length2

Characters and Unicode

Total characters1080
Distinct characters192
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique134 ?
Unique (%)93.1%

Sample

1st row남일(태권도)
2nd row하늘외국인태권도
3rd row중앙
4th row연세 쌍룡 태권도장
5th row경희대 백련태권도
ValueCountFrequency (%)
태권도 10
 
4.7%
태권도장 9
 
4.2%
용인대 7
 
3.3%
경희대 4
 
1.9%
체육관 3
 
1.4%
복싱 3
 
1.4%
인성 2
 
0.9%
한국체대 2
 
0.9%
홍제 2
 
0.9%
고려드림 2
 
0.9%
Other values (162) 171
79.5%
2024-05-11T15:15:16.388058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 96
 
8.9%
태 77
 
7.1%
권 74
 
6.9%
71
 
6.6%
관 35
 
3.2%
대 32
 
3.0%
) 27
 
2.5%
( 27
 
2.5%
장 25
 
2.3%
체 21
 
1.9%
Other values (182) 595
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 878
81.3%
Space Separator 71
 
6.6%
Uppercase Letter 38
 
3.5%
Lowercase Letter 29
 
2.7%
Close Punctuation 27
 
2.5%
Open Punctuation 27
 
2.5%
Other Punctuation 10
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 96
 
10.9%
태 77
 
8.8%
권 74
 
8.4%
관 35
 
4.0%
대 32
 
3.6%
장 25
 
2.8%
체 21
 
2.4%
육 20
 
2.3%
인 19
 
2.2%
희 17
 
1.9%
Other values (153) 462
52.6%
Lowercase Letter
ValueCountFrequency (%)
e 6
20.7%
r 4
13.8%
s 3
10.3%
o 2
 
6.9%
t 2
 
6.9%
a 2
 
6.9%
d 2
 
6.9%
x 2
 
6.9%
p 2
 
6.9%
h 2
 
6.9%
Other values (2) 2
 
6.9%
Uppercase Letter
ValueCountFrequency (%)
A 9
23.7%
T 8
21.1%
M 7
18.4%
P 5
13.2%
K 3
 
7.9%
W 2
 
5.3%
S 2
 
5.3%
R 1
 
2.6%
J 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
. 5
50.0%
: 2
 
20.0%
, 1
 
10.0%
& 1
 
10.0%
＇ 1
 
10.0%
Space Separator
ValueCountFrequency (%)
71
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 878
81.3%
Common 135
 
12.5%
Latin 67
 
6.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 96
 
10.9%
태 77
 
8.8%
권 74
 
8.4%
관 35
 
4.0%
대 32
 
3.6%
장 25
 
2.8%
체 21
 
2.4%
육 20
 
2.3%
인 19
 
2.2%
희 17
 
1.9%
Other values (153) 462
52.6%
Latin
ValueCountFrequency (%)
A 9
13.4%
T 8
11.9%
M 7
 
10.4%
e 6
 
9.0%
P 5
 
7.5%
r 4
 
6.0%
s 3
 
4.5%
K 3
 
4.5%
W 2
 
3.0%
S 2
 
3.0%
Other values (11) 18
26.9%
Common
ValueCountFrequency (%)
71
52.6%
) 27
 
20.0%
( 27
 
20.0%
. 5
 
3.7%
: 2
 
1.5%
, 1
 
0.7%
& 1
 
0.7%
＇ 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 878
81.3%
ASCII 201
 
18.6%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 96
 
10.9%
태 77
 
8.8%
권 74
 
8.4%
관 35
 
4.0%
대 32
 
3.6%
장 25
 
2.8%
체 21
 
2.4%
육 20
 
2.3%
인 19
 
2.2%
희 17
 
1.9%
Other values (153) 462
52.6%
ASCII
ValueCountFrequency (%)
71
35.3%
) 27
 
13.4%
( 27
 
13.4%
A 9
 
4.5%
T 8
 
4.0%
M 7
 
3.5%
e 6
 
3.0%
P 5
 
2.5%
. 5
 
2.5%
r 4
 
2.0%
Other values (18) 32
15.9%
None
ValueCountFrequency (%)
＇ 1
100.0%

최종수정일자
Date

Distinct134
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2003-02-07 11:05:36
Maximum2024-04-12 16:00:50
2024-05-11T15:15:16.635003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:15:16.893376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
I
94 
U
50 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 94
65.3%
U 50
34.7%

Length

2024-05-11T15:15:17.109719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:17.353192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 94
65.3%
u 50
34.7%

데이터갱신일자
Date

Distinct51
Distinct (%)35.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:04:00
2024-05-11T15:15:17.600895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:15:17.863126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct8
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
태권도
64 
<NA>
37 
권투
20 
검도
10 
유도
7 
Other values (3)
 
6

Length

Max length4
Median length3
Mean length2.9930556
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
태권도 64
44.4%
<NA> 37
25.7%
권투 20
 
13.9%
검도 10
 
6.9%
유도 7
 
4.9%
합기도 3
 
2.1%
레슬링 2
 
1.4%
우슈 1
 
0.7%

Length

2024-05-11T15:15:18.158803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:18.485278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
태권도 64
44.4%
na 37
25.7%
권투 20
 
13.9%
검도 10
 
6.9%
유도 7
 
4.9%
합기도 3
 
2.1%
레슬링 2
 
1.4%
우슈 1
 
0.7%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct115
Distinct (%)82.7%
Missing5
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean194098.37
Minimum191836.28
Maximum196806.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T15:15:18.785185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191836.28
5-th percentile192024.51
Q1192842.16
median194214.94
Q3195279.44
95-th percentile196259.49
Maximum196806.24
Range4969.9623
Interquartile range (IQR)2437.284

Descriptive statistics

Standard deviation1391.7962
Coefficient of variation (CV)0.0071705714
Kurtosis-1.1527052
Mean194098.37
Median Absolute Deviation (MAD)1117.1838
Skewness0.0079305079
Sum26979674
Variance1937096.8
MonotonicityNot monotonic
2024-05-11T15:15:19.091019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192226.158498517 4
 
2.8%
195057.033841623 4
 
2.8%
195538.684257199 3
 
2.1%
196111.168694145 3
 
2.1%
195280.710219904 3
 
2.1%
193865.64966259 2
 
1.4%
194225.223182536 2
 
1.4%
193226.16151034 2
 
1.4%
194664.857668262 2
 
1.4%
194618.731477599 2
 
1.4%
Other values (105) 112
77.8%
(Missing) 5
 
3.5%
ValueCountFrequency (%)
191836.275479334 2
1.4%
191900.345924872 1
0.7%
191971.959380003 1
0.7%
191993.934666673 2
1.4%
192001.841601733 1
0.7%
192027.033113098 1
0.7%
192051.739738747 1
0.7%
192056.109461517 1
0.7%
192061.097984861 1
0.7%
192110.634545006 1
0.7%
ValueCountFrequency (%)
196806.237792473 1
0.7%
196779.846232171 1
0.7%
196614.143008412 1
0.7%
196560.38321316 1
0.7%
196482.72792532 1
0.7%
196328.539699705 1
0.7%
196259.607806599 1
0.7%
196259.480927405 1
0.7%
196126.907439656 1
0.7%
196126.429055556 1
0.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct117
Distinct (%)84.2%
Missing5
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean452803.83
Minimum450479.46
Maximum455355.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T15:15:19.371192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450479.46
5-th percentile450586.96
Q1452052.02
median452947.07
Q3453434.38
95-th percentile454789.52
Maximum455355.65
Range4876.1864
Interquartile range (IQR)1382.36

Descriptive statistics

Standard deviation1225.8737
Coefficient of variation (CV)0.0027072953
Kurtosis-0.49848869
Mean452803.83
Median Absolute Deviation (MAD)716.78779
Skewness-0.17862021
Sum62939733
Variance1502766.3
MonotonicityNot monotonic
2024-05-11T15:15:19.695326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
453330.828953159 4
 
2.8%
455193.014698844 3
 
2.1%
453417.830545762 3
 
2.1%
454786.019433577 3
 
2.1%
452947.074163769 2
 
1.4%
452264.385459132 2
 
1.4%
450479.459045435 2
 
1.4%
452295.332828958 2
 
1.4%
452230.28637648 2
 
1.4%
450733.615442357 2
 
1.4%
Other values (107) 114
79.2%
(Missing) 5
 
3.5%
ValueCountFrequency (%)
450479.459045435 2
1.4%
450491.887936674 1
0.7%
450538.339078693 1
0.7%
450551.967786563 1
0.7%
450560.309976268 1
0.7%
450576.385496383 1
0.7%
450588.136019356 1
0.7%
450629.487978481 1
0.7%
450733.615442357 2
1.4%
450739.581459093 1
0.7%
ValueCountFrequency (%)
455355.645454924 1
 
0.7%
455250.964502089 1
 
0.7%
455193.014698844 3
2.1%
454837.796058447 1
 
0.7%
454821.065816013 1
 
0.7%
454786.019433577 3
2.1%
454472.314741725 1
 
0.7%
454441.811922527 1
 
0.7%
454423.474236539 1
 
0.7%
454401.04668531 1
 
0.7%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
체육도장업
119 
<NA>
25 

Length

Max length5
Median length5
Mean length4.8263889
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체육도장업 119
82.6%
<NA> 25
 
17.4%

Length

2024-05-11T15:15:20.008954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:20.347817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육도장업 119
82.6%
na 25
 
17.4%

공사립구분명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
사립
119 
<NA>
25 

Length

Max length4
Median length2
Mean length2.3472222
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 119
82.6%
<NA> 25
 
17.4%

Length

2024-05-11T15:15:20.595952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:20.824505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 119
82.6%
na 25
 
17.4%

보험가입여부코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
131 
0
 
13

Length

Max length4
Median length4
Mean length3.7291667
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 131
91.0%
0 13
 
9.0%

Length

2024-05-11T15:15:21.462014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:21.680428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 131
91.0%
0 13
 
9.0%

지도자수
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
115 
0
16 
1
13 

Length

Max length4
Median length4
Mean length3.3958333
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> 115
79.9%
0 16
 
11.1%
1 13
 
9.0%

Length

2024-05-11T15:15:21.903858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:22.172846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 115
79.9%
0 16
 
11.1%
1 13
 
9.0%

건축물동수
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
99 
0
40 
1
 
5

Length

Max length4
Median length4
Mean length3.0625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 99
68.8%
0 40
27.8%
1 5
 
3.5%

Length

2024-05-11T15:15:22.613216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:22.963893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 99
68.8%
0 40
27.8%
1 5
 
3.5%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)25.5%
Missing97
Missing (%)67.4%
Infinite0
Infinite (%)0.0%
Mean180.73617
Minimum0
Maximum1352.16
Zeros36
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T15:15:23.129652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile963.519
Maximum1352.16
Range1352.16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation371.07336
Coefficient of variation (CV)2.0531217
Kurtosis3.0187212
Mean180.73617
Median Absolute Deviation (MAD)0
Skewness1.9961384
Sum8494.6
Variance137695.44
MonotonicityNot monotonic
2024-05-11T15:15:23.362644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 36
 
25.0%
1342.0 1
 
0.7%
801.44 1
 
0.7%
654.65 1
 
0.7%
547.54 1
 
0.7%
541.23 1
 
0.7%
493.72 1
 
0.7%
1003.71 1
 
0.7%
149.17 1
 
0.7%
869.74 1
 
0.7%
Other values (2) 2
 
1.4%
(Missing) 97
67.4%
ValueCountFrequency (%)
0.0 36
25.0%
149.17 1
 
0.7%
493.72 1
 
0.7%
541.23 1
 
0.7%
547.54 1
 
0.7%
654.65 1
 
0.7%
739.24 1
 
0.7%
801.44 1
 
0.7%
869.74 1
 
0.7%
1003.71 1
 
0.7%
ValueCountFrequency (%)
1352.16 1
0.7%
1342.0 1
0.7%
1003.71 1
0.7%
869.74 1
0.7%
801.44 1
0.7%
739.24 1
0.7%
654.65 1
0.7%
547.54 1
0.7%
541.23 1
0.7%
493.72 1
0.7%

회원모집총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
143 
0
 
1

Length

Max length4
Median length4
Mean length3.9791667
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 143
99.3%
0 1
 
0.7%

Length

2024-05-11T15:15:23.660652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:23.937544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 143
99.3%
0 1
 
0.7%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing144
Missing (%)100.0%
Memory size1.4 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing144
Missing (%)100.0%
Memory size1.4 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03120000CDFH330102197100000119710204<NA>3폐업3폐업20200702<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 남가좌동 154-2서울특별시 서대문구 수색로2길 47, 2층 (남가좌동, 서중시장)3712남일(태권도)2020-07-02 19:58:20U2020-07-04 02:40:00.0태권도192528.347712452097.327792체육도장업사립<NA><NA>00.0<NA><NA><NA>
13120000CDFH330102198200000219820406<NA>3폐업3폐업20151111<NA><NA><NA><NA><NA>120827서울특별시 서대문구 연희동 78-1번지 3층호서울특별시 서대문구 연희로 185, 3층호 (연희동)3697하늘외국인태권도2015-11-11 17:39:20I2018-08-31 23:59:59.0태권도194217.604052452369.700812체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
23120000CDFH330102198400000119840503<NA>3폐업3폐업20070508<NA><NA><NA><NA><NA>120857서울특별시 서대문구 홍제동 266-152번지서울특별시 서대문구 세검정로 54 (홍제동)<NA>중앙2007-05-08 13:00:56I2018-08-31 23:59:59.0<NA>195275.082809454472.314742체육도장업사립0<NA><NA><NA><NA><NA><NA>
33120000CDFH330102198500000119850806<NA>3폐업3폐업20141014<NA><NA><NA><NA><NA>120800서울특별시 서대문구 남가좌동 7-2번지서울특별시 서대문구 명지대길 62 (남가좌동)<NA>연세 쌍룡 태권도장2014-10-14 13:36:21I2018-08-31 23:59:59.0<NA>193183.188216453392.913193체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
43120000CDFH330102198900000119891121<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 홍은동 209-4 홍은어린이집서울특별시 서대문구 연희로41길 71, 홍은어린이집 2층 (홍은동)3650경희대 백련태권도2020-11-04 19:32:19U2020-11-06 02:40:00.0태권도194170.363087454383.297979체육도장업사립<NA><NA>01342.0<NA><NA><NA>
53120000CDFH330102198900000219891224<NA>3폐업3폐업19981204<NA><NA><NA><NA><NA>120070서울특별시 서대문구 영천동 280-0번지서울특별시 서대문구 통일로 201-1 (영천동)<NA>독립문체육관2003-02-07 11:05:36I2018-08-31 23:59:59.0<NA>196482.727925452101.927756체육도장업사립<NA>000.0<NA><NA><NA>
63120000CDFH330102199000000119900707<NA>3폐업3폐업20120410<NA><NA><NA><NA><NA>120859서울특별시 서대문구 홍제동 326-3번지서울특별시 서대문구 통일로 475-1 (홍제동)<NA>성진(유도)2014-02-06 17:02:27I2018-08-31 23:59:59.0<NA>194790.182056454244.868886체육도장업사립<NA><NA>00.0<NA><NA><NA>
73120000CDFH330102199000000319901006<NA>3폐업3폐업20150401<NA><NA><NA>02-395-3159<NA>120101서울특별시 서대문구 홍은동 11-419번지서울특별시 서대문구 홍은중앙로 89 (홍은동)<NA>문화(태권도)2015-04-01 13:37:13I2018-08-31 23:59:59.0<NA>195280.71022455193.014699체육도장업사립<NA><NA>00.0<NA><NA><NA>
83120000CDFH330102199200000119920128<NA>1영업/정상13영업중<NA><NA><NA><NA>02-364-1818<NA><NA>서울특별시 서대문구 냉천동 182번지 냉천빌딩 지층서울특별시 서대문구 경기대로 88 (냉천동)3735세검관2015-11-12 16:38:46I2018-08-31 23:59:59.0검도196806.237792451589.172313체육도장업사립<NA><NA>00.0<NA><NA><NA>
93120000CDFH330102199300000219930514<NA>3폐업3폐업19980629<NA><NA><NA><NA><NA>120859서울특별시 서대문구 홍제동 308-213번지서울특별시 서대문구 통일로39길 28 (홍제동)<NA>성광(태권도)2003-02-07 11:05:36I2018-08-31 23:59:59.0<NA>194883.569009453960.342665체육도장업사립<NA>000.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
1343120000CDFH330102202000000220200527<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 홍은동 274-20번지서울특별시 서대문구 연희로 267, 2층 (홍은동)3658선무관2020-05-27 14:08:36I2020-05-29 00:23:19.0합기도194268.239983453186.156136체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
1353120000CDFH33010220200000032020-06-24<NA>1영업/정상13영업중<NA><NA><NA><NA>02-303-3436<NA><NA>서울특별시 서대문구 북가좌동 306-22 가좌빌딩서울특별시 서대문구 응암로 68, 가좌빌딩 2층 (북가좌동)3691명지대 박사 합기도 연무관2024-03-28 09:53:25U2023-12-02 21:00:00.0합기도192061.097985452967.975211<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1363120000CDFH330102202100000120210609<NA>1영업/정상13영업중<NA><NA><NA><NA>02-396-0010<NA><NA>서울특별시 서대문구 홍제동 308-213서울특별시 서대문구 통일로39길 28, 2층 (홍제동)3637수호복싱클럽2022-07-18 10:50:03U2021-12-06 22:00:00.0권투194883.569009453960.342665<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1373120000CDFH330102202100000220211217<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 홍은동 397-4서울특별시 서대문구 가좌로 98, 2층 (홍은동)3659아트 유도2022-05-09 14:09:53U2021-12-04 23:01:00.0유도193499.734195453253.983618<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1383120000CDFH330102202200000120220322<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 홍은동 401-1서울특별시 서대문구 명지대2길 14, 지층 (홍은동)3675트레이닝 박스 하울링2022-03-22 15:20:08I2022-03-24 00:22:35.0레슬링193326.539273453279.723646체육도장업사립<NA>000.00<NA><NA>
1393120000CDFH33010220230000012023-06-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 31-92 J-Tower서울특별시 서대문구 명물길 19, J-Tower 나동 7층 (창천동)3776아워킥복싱PT2023-07-14 17:29:38U2022-12-06 23:06:00.0권투194425.547743450629.487978<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1403120000CDFH33010220230000022023-07-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 남가좌동 379-2 래미안남가좌2아파트서울특별시 서대문구 수색로6길 45, 래미안남가좌2아파트 지하 1층 (남가좌동)3791익스트림에스 가재울점2023-07-10 16:54:23I2022-12-06 23:03:00.0권투192283.085662452230.286376<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1413120000CDFH33010220230000032023-10-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 북아현동 238-30 비쥬빌딩서울특별시 서대문구 신촌로 215, 비쥬빌딩 3층 (북아현동)3767위아더유도관2023-10-30 09:09:54I2022-11-01 00:01:00.0유도195516.722211450560.309976<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1423120000CDFH33010220240000012024-01-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 연희동 136-7 아농스오피스텔서울특별시 서대문구 연희로 102, 지하1층 (연희동, 아농스오피스텔)3724WS복싱클럽(연희점)2024-01-15 11:28:37I2023-11-30 23:07:00.0권투193867.140339451635.241163<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1433120000CDFH33010220240000022024-02-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 홍은동 398-11서울특별시 서대문구 가좌로 100, 지층 (홍은동)3659히트앤핏 명지대2024-02-19 10:11:11I2023-12-01 22:01:00.0권투193477.857223453280.502298<NA><NA><NA><NA><NA><NA><NA><NA><NA>