Overview

Dataset statistics

Number of variables56
Number of observations210
Missing cells7167
Missing cells (%)60.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory99.4 KiB
Average record size in memory484.6 B

Variable types

Categorical12
Text8
DateTime4
Unsupported28
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,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author용산구
URLhttps://data.seoul.go.kr/dataList/OA-17854/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
데이터갱신구분 is highly imbalanced (72.4%)Imbalance
문화체육업종명 is highly imbalanced (68.4%)Imbalance
문화사업자구분명 is highly imbalanced (68.4%)Imbalance
지하층수 is highly imbalanced (66.0%)Imbalance
건물용도명 is highly imbalanced (79.2%)Imbalance
인허가취소일자 has 210 (100.0%) missing valuesMissing
폐업일자 has 113 (53.8%) missing valuesMissing
휴업시작일자 has 210 (100.0%) missing valuesMissing
휴업종료일자 has 210 (100.0%) missing valuesMissing
재개업일자 has 210 (100.0%) missing valuesMissing
전화번호 has 97 (46.2%) missing valuesMissing
소재지면적 has 210 (100.0%) missing valuesMissing
도로명주소 has 107 (51.0%) missing valuesMissing
도로명우편번호 has 107 (51.0%) missing valuesMissing
업태구분명 has 210 (100.0%) missing valuesMissing
좌표정보(X) has 46 (21.9%) missing valuesMissing
좌표정보(Y) has 46 (21.9%) missing valuesMissing
총층수 has 178 (84.8%) missing valuesMissing
주변환경명 has 209 (99.5%) missing valuesMissing
제작취급품목내용 has 210 (100.0%) missing valuesMissing
지상층수 has 177 (84.3%) missing valuesMissing
통로너비 has 210 (100.0%) missing valuesMissing
조명시설조도 has 210 (100.0%) missing valuesMissing
노래방실수 has 210 (100.0%) missing valuesMissing
청소년실수 has 210 (100.0%) missing valuesMissing
비상계단여부 has 210 (100.0%) missing valuesMissing
비상구여부 has 210 (100.0%) missing valuesMissing
자동환기여부 has 210 (100.0%) missing valuesMissing
청소년실여부 has 210 (100.0%) missing valuesMissing
특수조명여부 has 210 (100.0%) missing valuesMissing
방음시설여부 has 210 (100.0%) missing valuesMissing
비디오재생기명 has 210 (100.0%) missing valuesMissing
조명시설유무 has 210 (100.0%) missing valuesMissing
음향시설여부 has 210 (100.0%) missing valuesMissing
편의시설여부 has 210 (100.0%) missing valuesMissing
소방시설여부 has 210 (100.0%) missing valuesMissing
총게임기수 has 210 (100.0%) missing valuesMissing
기존게임업외업종명 has 210 (100.0%) missing valuesMissing
제공게임물명 has 210 (100.0%) missing valuesMissing
공연장형태구분명 has 210 (100.0%) missing valuesMissing
품목명 has 210 (100.0%) missing valuesMissing
최초등록시점 has 210 (100.0%) missing valuesMissing
지역구분명 has 207 (98.6%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
통로너비 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설조도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총게임기수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 20 (9.5%) zerosZeros
지상층수 has 20 (9.5%) zerosZeros

Reproduction

Analysis started2024-05-11 02:52:37.411314
Analysis finished2024-05-11 02:52:39.362475
Duration1.95 second
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
3020000
210 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3020000
2nd row3020000
3rd row3020000
4th row3020000
5th row3020000

Common Values

ValueCountFrequency (%)
3020000 210
100.0%

Length

2024-05-11T02:52:39.630952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:52:39.958333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3020000 210
100.0%

관리번호
Text

UNIQUE 

Distinct210
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-05-11T02:52:40.523673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters4200
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

Unique210 ?
Unique (%)100.0%

Sample

1st rowCDFG1252001964000001
2nd rowCDFG1252001966000001
3rd rowCDFG1252001967000001
4th rowCDFG1252001969000001
5th rowCDFG1252001969000002
ValueCountFrequency (%)
cdfg1252001964000001 1
 
0.5%
cdfg1252002005000016 1
 
0.5%
cdfg1252002003000016 1
 
0.5%
cdfg1252002004000014 1
 
0.5%
cdfg1252002003000017 1
 
0.5%
cdfg1252002003000018 1
 
0.5%
cdfg1252002003000020 1
 
0.5%
cdfg1252002004000001 1
 
0.5%
cdfg1252002004000004 1
 
0.5%
cdfg1252002004000005 1
 
0.5%
Other values (200) 200
95.2%
2024-05-11T02:52:41.551014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1647
39.2%
2 587
 
14.0%
1 444
 
10.6%
5 247
 
5.9%
C 210
 
5.0%
D 210
 
5.0%
F 210
 
5.0%
G 210
 
5.0%
9 177
 
4.2%
7 64
 
1.5%
Other values (4) 194
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3360
80.0%
Uppercase Letter 840
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1647
49.0%
2 587
 
17.5%
1 444
 
13.2%
5 247
 
7.4%
9 177
 
5.3%
7 64
 
1.9%
3 57
 
1.7%
4 51
 
1.5%
8 50
 
1.5%
6 36
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 210
25.0%
D 210
25.0%
F 210
25.0%
G 210
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3360
80.0%
Latin 840
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1647
49.0%
2 587
 
17.5%
1 444
 
13.2%
5 247
 
7.4%
9 177
 
5.3%
7 64
 
1.9%
3 57
 
1.7%
4 51
 
1.5%
8 50
 
1.5%
6 36
 
1.1%
Latin
ValueCountFrequency (%)
C 210
25.0%
D 210
25.0%
F 210
25.0%
G 210
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1647
39.2%
2 587
 
14.0%
1 444
 
10.6%
5 247
 
5.9%
C 210
 
5.0%
D 210
 
5.0%
F 210
 
5.0%
G 210
 
5.0%
9 177
 
4.2%
7 64
 
1.5%
Other values (4) 194
 
4.6%

인허가일자
Date

Distinct196
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum1964-02-04 00:00:00
Maximum2024-01-17 00:00:00
2024-05-11T02:52:42.086653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:52:42.740452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
1
113 
3
94 
5
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 113
53.8%
3 94
44.8%
5 3
 
1.4%

Length

2024-05-11T02:52:43.378803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:52:43.789496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 113
53.8%
3 94
44.8%
5 3
 
1.4%

영업상태명
Categorical

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
영업/정상
113 
폐업
94 
제외/삭제/전출
 
3

Length

Max length8
Median length5
Mean length3.7
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 113
53.8%
폐업 94
44.8%
제외/삭제/전출 3
 
1.4%

Length

2024-05-11T02:52:44.292351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:52:44.650732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 113
53.8%
폐업 94
44.8%
제외/삭제/전출 3
 
1.4%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
13
110 
03
94 
15
 
3
BBBB
 
3

Length

Max length4
Median length2
Mean length2.0285714
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03
2nd row03
3rd row03
4th row03
5th row03

Common Values

ValueCountFrequency (%)
13 110
52.4%
03 94
44.8%
15 3
 
1.4%
BBBB 3
 
1.4%

Length

2024-05-11T02:52:45.064257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:52:45.422347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 110
52.4%
03 94
44.8%
15 3
 
1.4%
bbbb 3
 
1.4%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
영업중
110 
폐업
94 
전출
 
3
<NA>
 
3

Length

Max length4
Median length3
Mean length2.552381
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 110
52.4%
폐업 94
44.8%
전출 3
 
1.4%
<NA> 3
 
1.4%

Length

2024-05-11T02:52:45.819884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:52:46.196941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 110
52.4%
폐업 94
44.8%
전출 3
 
1.4%
na 3
 
1.4%

폐업일자
Date

MISSING 

Distinct89
Distinct (%)91.8%
Missing113
Missing (%)53.8%
Memory size1.8 KiB
Minimum1983-11-22 00:00:00
Maximum2023-12-06 00:00:00
2024-05-11T02:52:46.676337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:52:47.115138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

전화번호
Text

MISSING 

Distinct88
Distinct (%)77.9%
Missing97
Missing (%)46.2%
Memory size1.8 KiB
2024-05-11T02:52:47.613609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length8.2831858
Min length1

Characters and Unicode

Total characters936
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

Unique84 ?
Unique (%)74.3%

Sample

1st row.
2nd row02-794-0509
3rd row413-3454
4th row.
5th row.
ValueCountFrequency (%)
23
 
20.4%
798-0357 2
 
1.8%
02-711-3371 2
 
1.8%
02-2001-9355 2
 
1.8%
02-426-6810 1
 
0.9%
027934013 1
 
0.9%
02-793-4332 1
 
0.9%
715-4857 1
 
0.9%
032-506-8240 1
 
0.9%
02-749-9103 1
 
0.9%
Other values (78) 78
69.0%
2024-05-11T02:52:48.487145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 139
14.9%
- 128
13.7%
2 123
13.1%
7 117
12.5%
1 106
11.3%
3 72
7.7%
5 45
 
4.8%
9 44
 
4.7%
6 44
 
4.7%
4 43
 
4.6%
Other values (4) 75
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 770
82.3%
Dash Punctuation 128
 
13.7%
Other Punctuation 23
 
2.5%
Close Punctuation 14
 
1.5%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 139
18.1%
2 123
16.0%
7 117
15.2%
1 106
13.8%
3 72
9.4%
5 45
 
5.8%
9 44
 
5.7%
6 44
 
5.7%
4 43
 
5.6%
8 37
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 128
100.0%
Other Punctuation
ValueCountFrequency (%)
. 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 936
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 139
14.9%
- 128
13.7%
2 123
13.1%
7 117
12.5%
1 106
11.3%
3 72
7.7%
5 45
 
4.8%
9 44
 
4.7%
6 44
 
4.7%
4 43
 
4.6%
Other values (4) 75
8.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 936
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 139
14.9%
- 128
13.7%
2 123
13.1%
7 117
12.5%
1 106
11.3%
3 72
7.7%
5 45
 
4.8%
9 44
 
4.7%
6 44
 
4.7%
4 43
 
4.6%
Other values (4) 75
8.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

소재지우편번호
Categorical

Distinct50
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
140111
26 
140100
24 
140845
22 
140830
20 
<NA>
20 
Other values (45)
98 

Length

Max length7
Median length6
Mean length5.8142857
Min length4

Unique

Unique22 ?
Unique (%)10.5%

Sample

1st row140882
2nd row140845
3rd row140871
4th row140111
5th row140845

Common Values

ValueCountFrequency (%)
140111 26
12.4%
140100 24
 
11.4%
140845 22
 
10.5%
140830 20
 
9.5%
<NA> 20
 
9.5%
140132 9
 
4.3%
140846 8
 
3.8%
140133 6
 
2.9%
140827 6
 
2.9%
140871 5
 
2.4%
Other values (40) 64
30.5%

Length

2024-05-11T02:52:48.753136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
140111 26
12.4%
140100 24
 
11.4%
140845 22
 
10.5%
140830 20
 
9.5%
na 20
 
9.5%
140132 9
 
4.3%
140846 8
 
3.8%
140133 6
 
2.9%
140827 6
 
2.9%
140871 5
 
2.4%
Other values (40) 64
30.5%

지번주소
Text

Distinct81
Distinct (%)38.6%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-05-11T02:52:49.059198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length32
Mean length23.442857
Min length16

Characters and Unicode

Total characters4923
Distinct characters81
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)25.2%

Sample

1st row서울특별시 용산구 한강로*가 **-***번지
2nd row서울특별시 용산구 원효로*가 **-*번지
3rd row서울특별시 용산구 한강로*가 *-***번지
4th row서울특별시 용산구 원효로*가 ***-*번지
5th row서울특별시 용산구 원효로*가 **-*번지
ValueCountFrequency (%)
서울특별시 210
23.9%
용산구 210
23.9%
번지 195
22.2%
원효로*가 73
 
8.3%
서계동 34
 
3.9%
한강로*가 25
 
2.8%
문배동 24
 
2.7%
청파동*가 21
 
2.4%
17
 
1.9%
호 9
 
1.0%
Other values (30) 60
 
6.8%
2024-05-11T02:52:49.691931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 932
18.9%
860
17.5%
서 246
 
5.0%
용 214
 
4.3%
산 214
 
4.3%
시 212
 
4.3%
울 210
 
4.3%
특 210
 
4.3%
별 210
 
4.3%
구 210
 
4.3%
Other values (71) 1405
28.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2937
59.7%
Other Punctuation 933
 
19.0%
Space Separator 860
 
17.5%
Dash Punctuation 191
 
3.9%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 246
 
8.4%
용 214
 
7.3%
산 214
 
7.3%
시 212
 
7.2%
울 210
 
7.2%
특 210
 
7.2%
별 210
 
7.2%
구 210
 
7.2%
지 195
 
6.6%
번 195
 
6.6%
Other values (65) 821
28.0%
Other Punctuation
ValueCountFrequency (%)
* 932
99.9%
, 1
 
0.1%
Space Separator
ValueCountFrequency (%)
860
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 191
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2937
59.7%
Common 1986
40.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 246
 
8.4%
용 214
 
7.3%
산 214
 
7.3%
시 212
 
7.2%
울 210
 
7.2%
특 210
 
7.2%
별 210
 
7.2%
구 210
 
7.2%
지 195
 
6.6%
번 195
 
6.6%
Other values (65) 821
28.0%
Common
ValueCountFrequency (%)
* 932
46.9%
860
43.3%
- 191
 
9.6%
) 1
 
0.1%
( 1
 
0.1%
, 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2937
59.7%
ASCII 1986
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 932
46.9%
860
43.3%
- 191
 
9.6%
) 1
 
0.1%
( 1
 
0.1%
, 1
 
0.1%
Hangul
ValueCountFrequency (%)
서 246
 
8.4%
용 214
 
7.3%
산 214
 
7.3%
시 212
 
7.2%
울 210
 
7.2%
특 210
 
7.2%
별 210
 
7.2%
구 210
 
7.2%
지 195
 
6.6%
번 195
 
6.6%
Other values (65) 821
28.0%

도로명주소
Text

MISSING 

Distinct67
Distinct (%)65.0%
Missing107
Missing (%)51.0%
Memory size1.8 KiB
2024-05-11T02:52:50.054386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length37
Mean length28.786408
Min length22

Characters and Unicode

Total characters2965
Distinct characters93
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)53.4%

Sample

1st row서울특별시 용산구 한강대로 *** (한강로*가)
2nd row서울특별시 용산구 새창로 ** (용문동)
3rd row서울특별시 용산구 한강대로 * (한강로*가)
4th row서울특별시 용산구 한강대로**길 *-** (한강로*가)
5th row서울특별시 용산구 청파로**길 ** (청파동*가)
ValueCountFrequency (%)
서울특별시 103
18.3%
103
18.3%
용산구 103
18.3%
원효로*가 35
 
6.2%
서계동 19
 
3.4%
효창원로 16
 
2.8%
층 15
 
2.7%
한강로*가 14
 
2.5%
원효로**길 13
 
2.3%
호 13
 
2.3%
Other values (53) 129
22.9%
2024-05-11T02:52:50.982245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 494
16.7%
460
15.5%
로 152
 
5.1%
서 124
 
4.2%
시 105
 
3.5%
산 105
 
3.5%
용 104
 
3.5%
( 103
 
3.5%
특 103
 
3.5%
별 103
 
3.5%
Other values (83) 1112
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1745
58.9%
Other Punctuation 533
 
18.0%
Space Separator 460
 
15.5%
Open Punctuation 103
 
3.5%
Close Punctuation 103
 
3.5%
Dash Punctuation 21
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 152
 
8.7%
서 124
 
7.1%
시 105
 
6.0%
산 105
 
6.0%
용 104
 
6.0%
특 103
 
5.9%
별 103
 
5.9%
구 103
 
5.9%
울 103
 
5.9%
원 77
 
4.4%
Other values (77) 666
38.2%
Other Punctuation
ValueCountFrequency (%)
* 494
92.7%
, 39
 
7.3%
Space Separator
ValueCountFrequency (%)
460
100.0%
Open Punctuation
ValueCountFrequency (%)
( 103
100.0%
Close Punctuation
ValueCountFrequency (%)
) 103
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1745
58.9%
Common 1220
41.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 152
 
8.7%
서 124
 
7.1%
시 105
 
6.0%
산 105
 
6.0%
용 104
 
6.0%
특 103
 
5.9%
별 103
 
5.9%
구 103
 
5.9%
울 103
 
5.9%
원 77
 
4.4%
Other values (77) 666
38.2%
Common
ValueCountFrequency (%)
* 494
40.5%
460
37.7%
( 103
 
8.4%
) 103
 
8.4%
, 39
 
3.2%
- 21
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1745
58.9%
ASCII 1220
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 494
40.5%
460
37.7%
( 103
 
8.4%
) 103
 
8.4%
, 39
 
3.2%
- 21
 
1.7%
Hangul
ValueCountFrequency (%)
로 152
 
8.7%
서 124
 
7.1%
시 105
 
6.0%
산 105
 
6.0%
용 104
 
6.0%
특 103
 
5.9%
별 103
 
5.9%
구 103
 
5.9%
울 103
 
5.9%
원 77
 
4.4%
Other values (77) 666
38.2%

도로명우편번호
Text

MISSING 

Distinct51
Distinct (%)49.5%
Missing107
Missing (%)51.0%
Memory size1.8 KiB
2024-05-11T02:52:51.450012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.815534
Min length5

Characters and Unicode

Total characters599
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

Unique35 ?
Unique (%)34.0%

Sample

1st row04353
2nd row140080
3rd row04382
4th row140871
5th row140869
ValueCountFrequency (%)
140111 14
 
13.6%
140830 11
 
10.7%
140132 6
 
5.8%
140846 5
 
4.9%
140845 5
 
4.9%
140100 4
 
3.9%
140140 3
 
2.9%
04305 3
 
2.9%
140133 3
 
2.9%
140905 2
 
1.9%
Other values (41) 47
45.6%
2024-05-11T02:52:52.167202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 164
27.4%
0 150
25.0%
4 126
21.0%
3 53
 
8.8%
8 44
 
7.3%
5 17
 
2.8%
2 15
 
2.5%
6 13
 
2.2%
7 9
 
1.5%
9 7
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 598
99.8%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 164
27.4%
0 150
25.1%
4 126
21.1%
3 53
 
8.9%
8 44
 
7.4%
5 17
 
2.8%
2 15
 
2.5%
6 13
 
2.2%
7 9
 
1.5%
9 7
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 599
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 164
27.4%
0 150
25.0%
4 126
21.0%
3 53
 
8.8%
8 44
 
7.3%
5 17
 
2.8%
2 15
 
2.5%
6 13
 
2.2%
7 9
 
1.5%
9 7
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 599
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 164
27.4%
0 150
25.0%
4 126
21.0%
3 53
 
8.8%
8 44
 
7.3%
5 17
 
2.8%
2 15
 
2.5%
6 13
 
2.2%
7 9
 
1.5%
9 7
 
1.2%

사업장명
Text

Distinct206
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-05-11T02:52:52.615579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length5.7904762
Min length2

Characters and Unicode

Total characters1216
Distinct characters216
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique202 ?
Unique (%)96.2%

Sample

1st row황남인쇄소
2nd row상문사인쇄소
3rd row전광인쇄정보(주)
4th row한양정판사
5th row서울산업사
ValueCountFrequency (%)
주식회사 6
 
2.7%
남양인쇄사 2
 
0.9%
디자인한 2
 
0.9%
상신문화인쇄사 2
 
0.9%
금영문화사 2
 
0.9%
삼일공사 1
 
0.5%
바실인터내셔널(주 1
 
0.5%
바실프레스 1
 
0.5%
이영문화 1
 
0.5%
종로문구 1
 
0.5%
Other values (201) 201
91.4%
2024-05-11T02:52:53.415134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 91
 
7.5%
사 87
 
7.2%
쇄 80
 
6.6%
문 56
 
4.6%
주 46
 
3.8%
화 42
 
3.5%
) 38
 
3.1%
( 37
 
3.0%
성 29
 
2.4%
신 21
 
1.7%
Other values (206) 689
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1109
91.2%
Close Punctuation 38
 
3.1%
Open Punctuation 37
 
3.0%
Uppercase Letter 17
 
1.4%
Space Separator 10
 
0.8%
Other Punctuation 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 91
 
8.2%
사 87
 
7.8%
쇄 80
 
7.2%
문 56
 
5.0%
주 46
 
4.1%
화 42
 
3.8%
성 29
 
2.6%
신 21
 
1.9%
이 19
 
1.7%
스 16
 
1.4%
Other values (190) 622
56.1%
Uppercase Letter
ValueCountFrequency (%)
P 3
17.6%
C 3
17.6%
D 2
11.8%
I 2
11.8%
E 1
 
5.9%
H 1
 
5.9%
S 1
 
5.9%
T 1
 
5.9%
O 1
 
5.9%
M 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
& 3
60.0%
. 2
40.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1109
91.2%
Common 90
 
7.4%
Latin 17
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 91
 
8.2%
사 87
 
7.8%
쇄 80
 
7.2%
문 56
 
5.0%
주 46
 
4.1%
화 42
 
3.8%
성 29
 
2.6%
신 21
 
1.9%
이 19
 
1.7%
스 16
 
1.4%
Other values (190) 622
56.1%
Latin
ValueCountFrequency (%)
P 3
17.6%
C 3
17.6%
D 2
11.8%
I 2
11.8%
E 1
 
5.9%
H 1
 
5.9%
S 1
 
5.9%
T 1
 
5.9%
O 1
 
5.9%
M 1
 
5.9%
Common
ValueCountFrequency (%)
) 38
42.2%
( 37
41.1%
10
 
11.1%
& 3
 
3.3%
. 2
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1109
91.2%
ASCII 107
 
8.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 91
 
8.2%
사 87
 
7.8%
쇄 80
 
7.2%
문 56
 
5.0%
주 46
 
4.1%
화 42
 
3.8%
성 29
 
2.6%
신 21
 
1.9%
이 19
 
1.7%
스 16
 
1.4%
Other values (190) 622
56.1%
ASCII
ValueCountFrequency (%)
) 38
35.5%
( 37
34.6%
10
 
9.3%
& 3
 
2.8%
P 3
 
2.8%
C 3
 
2.8%
D 2
 
1.9%
I 2
 
1.9%
. 2
 
1.9%
E 1
 
0.9%
Other values (6) 6
 
5.6%

최종수정일자
Date

Distinct137
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2003-02-06 13:11:44
Maximum2024-01-17 16:23:33
2024-05-11T02:52:53.731227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:52:53.988364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
I
200 
U
 
10

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 200
95.2%
U 10
 
4.8%

Length

2024-05-11T02:52:54.336998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:52:54.647556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 200
95.2%
u 10
 
4.8%

데이터갱신일자
Date

Distinct21
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2018-08-31 23:59:59
Maximum2023-11-30 23:09:00
2024-05-11T02:52:55.097770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:52:55.313218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct117
Distinct (%)71.3%
Missing46
Missing (%)21.9%
Infinite0
Infinite (%)0.0%
Mean197192.35
Minimum195646.38
Maximum200732.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-05-11T02:52:55.563146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195646.38
5-th percentile196295.84
Q1196720.97
median197151.57
Q3197264.42
95-th percentile199070.58
Maximum200732.91
Range5086.5331
Interquartile range (IQR)543.44921

Descriptive statistics

Standard deviation757.99794
Coefficient of variation (CV)0.003843952
Kurtosis7.6353867
Mean197192.35
Median Absolute Deviation (MAD)171.77174
Skewness2.2521456
Sum32339546
Variance574560.88
MonotonicityNot monotonic
2024-05-11T02:52:55.889860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
196716.165873094 24
 
11.4%
197190.576537951 3
 
1.4%
197264.416749518 3
 
1.4%
197321.001974 2
 
1.0%
197035.083960228 2
 
1.0%
197127.007916685 2
 
1.0%
197119.959843067 2
 
1.0%
197161.53389342 2
 
1.0%
197077.289349267 2
 
1.0%
196145.20051733 2
 
1.0%
Other values (107) 120
57.1%
(Missing) 46
 
21.9%
ValueCountFrequency (%)
195646.378076676 2
1.0%
195888.715438342 1
0.5%
195904.263090933 1
0.5%
195941.595660013 1
0.5%
196117.305220423 1
0.5%
196145.20051733 2
1.0%
196288.764257138 1
0.5%
196335.946 1
0.5%
196342.328666666 1
0.5%
196356.513376783 1
0.5%
ValueCountFrequency (%)
200732.91120363 1
0.5%
200445.467613309 1
0.5%
200353.684497772 1
0.5%
199964.217644535 1
0.5%
199353.022885099 2
1.0%
199270.189395672 1
0.5%
199204.674448195 1
0.5%
199178.08468657 1
0.5%
198461.388127441 1
0.5%
198093.183803322 1
0.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct117
Distinct (%)71.3%
Missing46
Missing (%)21.9%
Infinite0
Infinite (%)0.0%
Mean448751.74
Minimum446524.14
Maximum450231.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-05-11T02:52:56.302620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446524.14
5-th percentile447396.38
Q1448374.61
median448604.26
Q3449424.74
95-th percentile449892.56
Maximum450231.89
Range3707.7487
Interquartile range (IQR)1050.1272

Descriptive statistics

Standard deviation839.47048
Coefficient of variation (CV)0.0018706791
Kurtosis-0.34916484
Mean448751.74
Median Absolute Deviation (MAD)580.379
Skewness-0.27657931
Sum73595285
Variance704710.69
MonotonicityNot monotonic
2024-05-11T02:52:56.796671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449892.557718372 24
 
11.4%
448519.55092234 3
 
1.4%
448544.719830129 3
 
1.4%
448835.661872 2
 
1.0%
449151.762230856 2
 
1.0%
448448.351957647 2
 
1.0%
448544.163884184 2
 
1.0%
448500.539207775 2
 
1.0%
448511.49247159 2
 
1.0%
447480.626891957 2
 
1.0%
Other values (107) 120
57.1%
(Missing) 46
 
21.9%
ValueCountFrequency (%)
446524.143739768 2
1.0%
446743.495014641 1
0.5%
446868.532726729 1
0.5%
446907.227820308 1
0.5%
447020.393324916 1
0.5%
447155.831124712 1
0.5%
447328.548832245 1
0.5%
447392.904747162 1
0.5%
447416.105493527 1
0.5%
447454.436514842 1
0.5%
ValueCountFrequency (%)
450231.892440284 1
 
0.5%
450064.79037152 1
 
0.5%
450028.532903853 2
 
1.0%
450020.509301636 1
 
0.5%
449918.557607209 2
 
1.0%
449892.557718372 24
11.4%
449829.998949456 1
 
0.5%
449813.336130432 1
 
0.5%
449673.885729821 1
 
0.5%
449650.150300332 2
 
1.0%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
인쇄사
198 
<NA>
 
12

Length

Max length4
Median length3
Mean length3.0571429
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인쇄사 198
94.3%
<NA> 12
 
5.7%

Length

2024-05-11T02:52:57.141535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:52:57.487750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인쇄사 198
94.3%
na 12
 
5.7%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
출판인쇄업
198 
<NA>
 
12

Length

Max length5
Median length5
Mean length4.9428571
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판인쇄업 198
94.3%
<NA> 12
 
5.7%

Length

2024-05-11T02:52:57.687261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:52:57.873150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 198
94.3%
na 12
 
5.7%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)25.0%
Missing178
Missing (%)84.8%
Infinite0
Infinite (%)0.0%
Mean2.40625
Minimum0
Maximum32
Zeros20
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-05-11T02:52:58.151086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.5
95-th percentile7
Maximum32
Range32
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation5.8907219
Coefficient of variation (CV)2.4480922
Kurtosis21.690679
Mean2.40625
Median Absolute Deviation (MAD)0
Skewness4.3674597
Sum77
Variance34.700605
MonotonicityNot monotonic
2024-05-11T02:52:58.402695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 20
 
9.5%
1 2
 
1.0%
2 2
 
1.0%
7 2
 
1.0%
4 2
 
1.0%
6 2
 
1.0%
32 1
 
0.5%
5 1
 
0.5%
(Missing) 178
84.8%
ValueCountFrequency (%)
0 20
9.5%
1 2
 
1.0%
2 2
 
1.0%
4 2
 
1.0%
5 1
 
0.5%
6 2
 
1.0%
7 2
 
1.0%
32 1
 
0.5%
ValueCountFrequency (%)
32 1
 
0.5%
7 2
 
1.0%
6 2
 
1.0%
5 1
 
0.5%
4 2
 
1.0%
2 2
 
1.0%
1 2
 
1.0%
0 20
9.5%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing209
Missing (%)99.5%
Memory size1.8 KiB
2024-05-11T02:52:58.633564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row기타
ValueCountFrequency (%)
기타 1
100.0%
2024-05-11T02:52:59.245450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

시설면적
Categorical

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
106 
0
103 
92
 
1

Length

Max length4
Median length4
Mean length2.5190476
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 106
50.5%
0 103
49.0%
92 1
 
0.5%

Length

2024-05-11T02:52:59.686769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:53:00.043143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 106
50.5%
0 103
49.0%
92 1
 
0.5%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)24.2%
Missing177
Missing (%)84.3%
Infinite0
Infinite (%)0.0%
Mean2.0606061
Minimum0
Maximum28
Zeros20
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-05-11T02:53:00.332772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6
Maximum28
Range28
Interquartile range (IQR)2

Descriptive statistics

Standard deviation5.0555625
Coefficient of variation (CV)2.4534347
Kurtosis22.884808
Mean2.0606061
Median Absolute Deviation (MAD)0
Skewness4.4959329
Sum68
Variance25.558712
MonotonicityNot monotonic
2024-05-11T02:53:00.646381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 20
 
9.5%
1 3
 
1.4%
2 2
 
1.0%
6 2
 
1.0%
4 2
 
1.0%
5 2
 
1.0%
28 1
 
0.5%
3 1
 
0.5%
(Missing) 177
84.3%
ValueCountFrequency (%)
0 20
9.5%
1 3
 
1.4%
2 2
 
1.0%
3 1
 
0.5%
4 2
 
1.0%
5 2
 
1.0%
6 2
 
1.0%
28 1
 
0.5%
ValueCountFrequency (%)
28 1
 
0.5%
6 2
 
1.0%
5 2
 
1.0%
4 2
 
1.0%
3 1
 
0.5%
2 2
 
1.0%
1 3
 
1.4%
0 20
9.5%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
183 
0
20 
1
 
6
4
 
1

Length

Max length4
Median length4
Mean length3.6142857
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 183
87.1%
0 20
 
9.5%
1 6
 
2.9%
4 1
 
0.5%

Length

2024-05-11T02:53:01.104835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:53:01.574584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 183
87.1%
0 20
 
9.5%
1 6
 
2.9%
4 1
 
0.5%

건물용도명
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
194 
근린생활시설
 
8
사무실
 
3
단독주택
 
2
기타
 
2

Length

Max length6
Median length4
Mean length4.0428571
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 194
92.4%
근린생활시설 8
 
3.8%
사무실 3
 
1.4%
단독주택 2
 
1.0%
기타 2
 
1.0%
생산시설 1
 
0.5%

Length

2024-05-11T02:53:01.951671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:53:02.336531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 194
92.4%
근린생활시설 8
 
3.8%
사무실 3
 
1.4%
단독주택 2
 
1.0%
기타 2
 
1.0%
생산시설 1
 
0.5%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

지역구분명
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing207
Missing (%)98.6%
Memory size1.8 KiB
2024-05-11T02:53:02.655491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters18
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st row근린상업지역
2nd row근린상업지역
3rd row일반주거지역
ValueCountFrequency (%)
근린상업지역 2
66.7%
일반주거지역 1
33.3%
2024-05-11T02:53:03.428863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 3
16.7%
역 3
16.7%
근 2
11.1%
린 2
11.1%
상 2
11.1%
업 2
11.1%
일 1
 
5.6%
반 1
 
5.6%
주 1
 
5.6%
거 1
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 3
16.7%
역 3
16.7%
근 2
11.1%
린 2
11.1%
상 2
11.1%
업 2
11.1%
일 1
 
5.6%
반 1
 
5.6%
주 1
 
5.6%
거 1
 
5.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 3
16.7%
역 3
16.7%
근 2
11.1%
린 2
11.1%
상 2
11.1%
업 2
11.1%
일 1
 
5.6%
반 1
 
5.6%
주 1
 
5.6%
거 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 3
16.7%
역 3
16.7%
근 2
11.1%
린 2
11.1%
상 2
11.1%
업 2
11.1%
일 1
 
5.6%
반 1
 
5.6%
주 1
 
5.6%
거 1
 
5.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03020000CDFG125200196400000119640204<NA>3폐업03폐업20060113<NA><NA><NA><NA><NA>140882서울특별시 용산구 한강로*가 **-***번지<NA><NA>황남인쇄소2006-01-13 11:58:38I2018-08-31 23:59:59.0<NA>197176.561891447155.831125인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13020000CDFG125200196600000119660803<NA>3폐업03폐업19960724<NA><NA><NA><NA><NA>140845서울특별시 용산구 원효로*가 **-*번지<NA><NA>상문사인쇄소2003-02-06 13:11:44I2018-08-31 23:59:59.0<NA><NA><NA>인쇄사출판인쇄업<NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23020000CDFG125200196700000119671025<NA>3폐업03폐업20020508<NA><NA><NA><NA><NA>140871서울특별시 용산구 한강로*가 *-***번지<NA><NA>전광인쇄정보(주)2003-02-06 13:11:44I2018-08-31 23:59:59.0<NA><NA><NA>인쇄사출판인쇄업0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33020000CDFG125200196900000119690702<NA>3폐업03폐업19900628<NA><NA><NA><NA><NA>140111서울특별시 용산구 원효로*가 ***-*번지<NA><NA>한양정판사2003-02-06 13:11:44I2018-08-31 23:59:59.0<NA><NA><NA>인쇄사출판인쇄업<NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43020000CDFG125200196900000219690702<NA>3폐업03폐업19870224<NA><NA><NA><NA><NA>140845서울특별시 용산구 원효로*가 **-*번지<NA><NA>서울산업사2003-02-06 13:11:44I2018-08-31 23:59:59.0<NA><NA><NA>인쇄사출판인쇄업<NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53020000CDFG125200197000000119700317<NA>3폐업03폐업19980202<NA><NA><NA><NA><NA>140090서울특별시 용산구 신계동 *-**번지<NA><NA>신성인쇄사2003-02-06 13:11:44I2018-08-31 23:59:59.0<NA><NA><NA>인쇄사출판인쇄업<NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63020000CDFG125200197000000219700327<NA>3폐업03폐업20010330<NA><NA><NA><NA><NA>140100서울특별시 용산구 문배동 **-**번지<NA><NA>영풍문화사2003-02-06 13:11:44I2018-08-31 23:59:59.0<NA>197147.127076448420.143445인쇄사출판인쇄업<NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73020000CDFG125200197100000119710208<NA>3폐업03폐업19860902<NA><NA><NA><NA><NA>140830서울특별시 용산구 서계동 ***-*번지<NA><NA>동화인쇄사2003-02-06 13:11:44I2018-08-31 23:59:59.0<NA>196716.165873449892.557718인쇄사출판인쇄업<NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83020000CDFG125200197100000219710821<NA>3폐업03폐업20061221<NA><NA><NA><NA><NA>140133서울특별시 용산구 청파동*가 **-*번지<NA><NA>오성인쇄사2006-12-21 15:26:46I2018-08-31 23:59:59.0<NA>197263.271118448844.869955인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93020000CDFG125200197200000119720306<NA>3폐업03폐업20000619<NA><NA><NA><NA><NA>140847서울특별시 용산구 원효로*가 *-**번지<NA><NA>금성인쇄소2003-02-06 13:11:44I2018-08-31 23:59:59.0<NA>196970.115543448387.396414인쇄사출판인쇄업<NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
2003020000CDFG125200201900000220190709<NA>1영업/정상13영업중<NA><NA><NA><NA>027133284<NA><NA>서울특별시 용산구 서계동 ***-*번지 만리시장서울특별시 용산구 효창원로 ***, 만리시장 *층 (서계동)04305경성문화인쇄사2019-07-09 17:01:45I2019-07-11 02:21:33.0<NA>196716.165873449892.557718인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2013020000CDFG125200202000000120190723<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8823-2011<NA><NA>서울특별시 용산구 한강로*가 ***-*번지서울특별시 용산구 한강대로**길 *-*, *층 (한강로*가)04382구트폼2020-03-04 15:25:19I2020-03-06 00:23:23.0<NA>197294.051567447647.478786인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2023020000CDFG125200202000000220200904<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7756-0401<NA><NA>서울특별시 용산구 한남동 ***-**서울특별시 용산구 이태원로**가길 **, ***,***호 (한남동)04348주식회사 테이아2020-09-04 19:15:34I2020-09-06 00:23:13.0<NA>199964.217645448367.6712인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2033020000CDFG125200202100000120210105<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 원효로*가 **-**서울특별시 용산구 원효로**길 *, *층 (원효로*가)04364주다인쇄2021-01-05 16:07:34I2021-01-07 00:23:04.0<NA>196583.846241448201.231153인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2043020000CDFG125200202200000120050715<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2268-9151<NA><NA>서울특별시 용산구 서계동 ***-* 만리시장서울특별시 용산구 효창원로 ***, 만리시장 (서계동)04305이지미술2022-06-15 13:41:19I2021-12-05 23:07:00.0<NA>196716.165873449892.557718<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2053020000CDFG125200202200000220220816<NA>1영업/정상13영업중<NA><NA><NA><NA>02-713-2664<NA><NA>서울특별시 용산구 청파동*가 ** 제*호서울특별시 용산구 청파로**나길 **, 제*호 (청파동*가)04307제일문화인쇄사2022-08-16 10:18:36I2021-12-07 23:08:00.0<NA>197126.920002449557.533416<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2063020000CDFG125200202200000320151029<NA>1영업/정상13영업중<NA><NA><NA><NA>02-426-6810<NA><NA>서울특별시 용산구 서계동 **서울특별시 용산구 청파로**길 **, ***호 (서계동)04303디자인한2022-11-30 15:45:31I2021-11-02 00:02:00.0<NA>197064.285124450028.532904<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2073020000CDFG125200202200000420221130<NA>1영업/정상13영업중<NA><NA><NA><NA>024266810<NA><NA>서울특별시 용산구 서계동 **서울특별시 용산구 청파로**길 **, ***호 (서계동)04303디자인한2022-11-30 15:40:35I2021-11-02 00:02:00.0<NA>197064.285124450028.532904<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2083020000CDFG12520020240000012024-01-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 갈월동 **-* 남영빌딩 ***호서울특별시 용산구 한강대로 ***, 남영빌딩 *층 ***호 (갈월동)04321가정실2024-01-11 14:26:49I2023-11-30 23:03:00.0<NA>197431.710876449143.721979<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2093020000CDFG12520020240000022024-01-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 이태원동 ***-***서울특별시 용산구 소월로**길 ** (이태원동)04344아키오로프트2024-01-17 16:23:33I2023-11-30 23:09:00.0<NA>199270.189396448793.322567<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>