Overview

Dataset statistics

Number of variables56
Number of observations31
Missing cells963
Missing cells (%)55.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.9 KiB
Average record size in memory492.3 B

Variable types

Categorical13
Text6
DateTime3
Unsupported28
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,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
Author동작구
URLhttps://data.seoul.go.kr/dataList/OA-17871/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
문화체육업종명 is highly imbalanced (65.5%)Imbalance
문화사업자구분명 is highly imbalanced (65.5%)Imbalance
인허가취소일자 has 31 (100.0%) missing valuesMissing
폐업일자 has 25 (80.6%) missing valuesMissing
휴업시작일자 has 31 (100.0%) missing valuesMissing
휴업종료일자 has 31 (100.0%) missing valuesMissing
재개업일자 has 31 (100.0%) missing valuesMissing
전화번호 has 8 (25.8%) missing valuesMissing
소재지면적 has 31 (100.0%) missing valuesMissing
소재지우편번호 has 11 (35.5%) missing valuesMissing
지번주소 has 1 (3.2%) missing valuesMissing
도로명주소 has 1 (3.2%) missing valuesMissing
도로명우편번호 has 4 (12.9%) missing valuesMissing
업태구분명 has 31 (100.0%) missing valuesMissing
제작취급품목내용 has 31 (100.0%) missing valuesMissing
시설면적 has 20 (64.5%) missing valuesMissing
통로너비 has 31 (100.0%) missing valuesMissing
조명시설조도 has 31 (100.0%) missing valuesMissing
노래방실수 has 31 (100.0%) missing valuesMissing
청소년실수 has 31 (100.0%) missing valuesMissing
비상계단여부 has 31 (100.0%) missing valuesMissing
비상구여부 has 31 (100.0%) missing valuesMissing
자동환기여부 has 31 (100.0%) missing valuesMissing
청소년실여부 has 31 (100.0%) missing valuesMissing
특수조명여부 has 31 (100.0%) missing valuesMissing
방음시설여부 has 31 (100.0%) missing valuesMissing
비디오재생기명 has 31 (100.0%) missing valuesMissing
조명시설유무 has 31 (100.0%) missing valuesMissing
음향시설여부 has 31 (100.0%) missing valuesMissing
편의시설여부 has 31 (100.0%) missing valuesMissing
소방시설여부 has 31 (100.0%) missing valuesMissing
총게임기수 has 31 (100.0%) missing valuesMissing
기존게임업외업종명 has 31 (100.0%) missing valuesMissing
제공게임물명 has 31 (100.0%) missing valuesMissing
공연장형태구분명 has 31 (100.0%) missing valuesMissing
품목명 has 31 (100.0%) missing valuesMissing
최초등록시점 has 31 (100.0%) missing valuesMissing
지역구분명 has 25 (80.6%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 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
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
시설면적 has 3 (9.7%) zerosZeros

Reproduction

Analysis started2024-04-29 19:29:07.793703
Analysis finished2024-04-29 19:29:08.562976
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
3190000
31 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3190000
2nd row3190000
3rd row3190000
4th row3190000
5th row3190000

Common Values

ValueCountFrequency (%)
3190000 31
100.0%

Length

2024-04-30T04:29:08.621191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:29:08.692186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3190000 31
100.0%

관리번호
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-04-30T04:29:08.828529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters620
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

Unique31 ?
Unique (%)100.0%

Sample

1st rowCDFG1252001995000001
2nd rowCDFG1252001998000001
3rd rowCDFG1252002001000001
4th rowCDFG1252002002000001
5th rowCDFG1252002003000001
ValueCountFrequency (%)
cdfg1252001995000001 1
 
3.2%
cdfg1252002012000002 1
 
3.2%
cdfg1252002021000002 1
 
3.2%
cdfg1252002021000001 1
 
3.2%
cdfg1252002020000002 1
 
3.2%
cdfg1252002020000001 1
 
3.2%
cdfg1252002016000001 1
 
3.2%
cdfg1252002015000001 1
 
3.2%
cdfg1252002014000004 1
 
3.2%
cdfg1252002014000003 1
 
3.2%
Other values (21) 21
67.7%
2024-04-30T04:29:09.102008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 261
42.1%
2 108
17.4%
1 65
 
10.5%
5 35
 
5.6%
C 31
 
5.0%
D 31
 
5.0%
F 31
 
5.0%
G 31
 
5.0%
3 8
 
1.3%
4 6
 
1.0%
Other values (4) 13
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 496
80.0%
Uppercase Letter 124
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 261
52.6%
2 108
21.8%
1 65
 
13.1%
5 35
 
7.1%
3 8
 
1.6%
4 6
 
1.2%
9 5
 
1.0%
8 3
 
0.6%
6 3
 
0.6%
7 2
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
C 31
25.0%
D 31
25.0%
F 31
25.0%
G 31
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 496
80.0%
Latin 124
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 261
52.6%
2 108
21.8%
1 65
 
13.1%
5 35
 
7.1%
3 8
 
1.6%
4 6
 
1.2%
9 5
 
1.0%
8 3
 
0.6%
6 3
 
0.6%
7 2
 
0.4%
Latin
ValueCountFrequency (%)
C 31
25.0%
D 31
25.0%
F 31
25.0%
G 31
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 620
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 261
42.1%
2 108
17.4%
1 65
 
10.5%
5 35
 
5.6%
C 31
 
5.0%
D 31
 
5.0%
F 31
 
5.0%
G 31
 
5.0%
3 8
 
1.3%
4 6
 
1.0%
Other values (4) 13
 
2.1%

인허가일자
Date

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum1995-04-14 00:00:00
Maximum2022-06-28 00:00:00
2024-04-30T04:29:09.227104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:29:09.341870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
1
25 
3
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 25
80.6%
3 6
 
19.4%

Length

2024-04-30T04:29:09.464855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:29:09.554352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 25
80.6%
3 6
 
19.4%

영업상태명
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
영업/정상
25 
폐업
6 

Length

Max length5
Median length5
Mean length4.4193548
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 25
80.6%
폐업 6
 
19.4%

Length

2024-04-30T04:29:09.639730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:29:09.738234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 25
80.6%
폐업 6
 
19.4%

상세영업상태코드
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
13
25 
3
6 

Length

Max length2
Median length2
Mean length1.8064516
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 25
80.6%
3 6
 
19.4%

Length

2024-04-30T04:29:09.831208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:29:09.912612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 25
80.6%
3 6
 
19.4%

상세영업상태명
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
영업중
25 
폐업
6 

Length

Max length3
Median length3
Mean length2.8064516
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 25
80.6%
폐업 6
 
19.4%

Length

2024-04-30T04:29:09.998668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:29:10.078234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 25
80.6%
폐업 6
 
19.4%

폐업일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing25
Missing (%)80.6%
Infinite0
Infinite (%)0.0%
Mean20120303
Minimum20020207
Maximum20210326
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-04-30T04:29:10.151752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020207
5-th percentile20032688
Q120075224
median20105416
Q320187823
95-th percentile20210325
Maximum20210326
Range190119
Interquartile range (IQR)112599

Descriptive statistics

Standard deviation76983.065
Coefficient of variation (CV)0.0038261385
Kurtosis-1.4895603
Mean20120303
Median Absolute Deviation (MAD)60247.5
Skewness0.19950073
Sum1.2072182 × 108
Variance5.9263924 × 109
MonotonicityNot monotonic
2024-04-30T04:29:10.239833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20090506 1
 
3.2%
20020207 1
 
3.2%
20120326 1
 
3.2%
20070130 1
 
3.2%
20210326 1
 
3.2%
20210322 1
 
3.2%
(Missing) 25
80.6%
ValueCountFrequency (%)
20020207 1
3.2%
20070130 1
3.2%
20090506 1
3.2%
20120326 1
3.2%
20210322 1
3.2%
20210326 1
3.2%
ValueCountFrequency (%)
20210326 1
3.2%
20210322 1
3.2%
20120326 1
3.2%
20090506 1
3.2%
20070130 1
3.2%
20020207 1
3.2%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

전화번호
Text

MISSING 

Distinct22
Distinct (%)95.7%
Missing8
Missing (%)25.8%
Memory size380.0 B
2024-04-30T04:29:10.397006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.7826087
Min length8

Characters and Unicode

Total characters225
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

Unique21 ?
Unique (%)91.3%

Sample

1st row814-1235
2nd row3486-6791
3rd row824-8575
4th row798-6001
5th row874-2581
ValueCountFrequency (%)
3486-6791 2
 
8.7%
817-8838 1
 
4.3%
814-1235 1
 
4.3%
02-1544-1409 1
 
4.3%
02-798-4783 1
 
4.3%
02-823-3944 1
 
4.3%
02-3286-9762 1
 
4.3%
02-529-1290 1
 
4.3%
070-8100-5090 1
 
4.3%
02-3280-9436 1
 
4.3%
Other values (12) 12
52.2%
2024-04-30T04:29:10.667843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 32
14.2%
2 31
13.8%
8 29
12.9%
0 26
11.6%
1 18
8.0%
4 16
7.1%
7 16
7.1%
3 15
6.7%
9 14
6.2%
6 13
5.8%
Other values (2) 15
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 191
84.9%
Dash Punctuation 32
 
14.2%
Close Punctuation 2
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 31
16.2%
8 29
15.2%
0 26
13.6%
1 18
9.4%
4 16
8.4%
7 16
8.4%
3 15
7.9%
9 14
7.3%
6 13
6.8%
5 13
6.8%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 225
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 32
14.2%
2 31
13.8%
8 29
12.9%
0 26
11.6%
1 18
8.0%
4 16
7.1%
7 16
7.1%
3 15
6.7%
9 14
6.2%
6 13
5.8%
Other values (2) 15
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 225
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 32
14.2%
2 31
13.8%
8 29
12.9%
0 26
11.6%
1 18
8.0%
4 16
7.1%
7 16
7.1%
3 15
6.7%
9 14
6.2%
6 13
5.8%
Other values (2) 15
6.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)85.0%
Missing11
Missing (%)35.5%
Infinite0
Infinite (%)0.0%
Mean156674.7
Minimum156020
Maximum156882
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-04-30T04:29:10.774527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum156020
5-th percentile156030.45
Q1156798
median156821.5
Q3156834
95-th percentile156881.05
Maximum156882
Range862
Interquartile range (IQR)36

Descriptive statistics

Standard deviation321.32949
Coefficient of variation (CV)0.0020509341
Kurtosis0.69865869
Mean156674.7
Median Absolute Deviation (MAD)20.5
Skewness-1.6084426
Sum3133494
Variance103252.64
MonotonicityNot monotonic
2024-04-30T04:29:10.866574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
156801 2
 
6.5%
156815 2
 
6.5%
156827 2
 
6.5%
156882 1
 
3.2%
156060 1
 
3.2%
156831 1
 
3.2%
156823 1
 
3.2%
156789 1
 
3.2%
156031 1
 
3.2%
156881 1
 
3.2%
Other values (7) 7
22.6%
(Missing) 11
35.5%
ValueCountFrequency (%)
156020 1
3.2%
156031 1
3.2%
156060 1
3.2%
156091 1
3.2%
156789 1
3.2%
156801 2
6.5%
156815 2
6.5%
156820 1
3.2%
156823 1
3.2%
156827 2
6.5%
ValueCountFrequency (%)
156882 1
3.2%
156881 1
3.2%
156861 1
3.2%
156847 1
3.2%
156840 1
3.2%
156832 1
3.2%
156831 1
3.2%
156827 2
6.5%
156823 1
3.2%
156820 1
3.2%

지번주소
Text

MISSING 

Distinct27
Distinct (%)90.0%
Missing1
Missing (%)3.2%
Memory size380.0 B
2024-04-30T04:29:10.996028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length27
Mean length24.6
Min length15

Characters and Unicode

Total characters738
Distinct characters56
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)83.3%

Sample

1st row서울특별시 동작구 상도동 ***-*번지
2nd row서울특별시 동작구 사당동 ****-*번지 덕창빌딩 *층
3rd row서울특별시 동작구 상도동 ***-*번지
4th row서울특별시 동작구 사당동 ***-***번지 *층
5th row서울특별시 동작구 상도동 **-**번지 지층
ValueCountFrequency (%)
서울특별시 30
21.3%
동작구 30
21.3%
번지 22
15.6%
상도동 10
 
7.1%
사당동 9
 
6.4%
층 7
 
5.0%
7
 
5.0%
대방동 4
 
2.8%
호 3
 
2.1%
노량진동 3
 
2.1%
Other values (15) 16
11.3%
2024-04-30T04:29:11.250160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 142
19.2%
136
18.4%
동 61
 
8.3%
서 30
 
4.1%
구 30
 
4.1%
작 30
 
4.1%
울 30
 
4.1%
시 30
 
4.1%
특 30
 
4.1%
별 30
 
4.1%
Other values (46) 189
25.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 435
58.9%
Other Punctuation 142
 
19.2%
Space Separator 136
 
18.4%
Dash Punctuation 25
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 61
14.0%
서 30
 
6.9%
구 30
 
6.9%
작 30
 
6.9%
울 30
 
6.9%
시 30
 
6.9%
특 30
 
6.9%
별 30
 
6.9%
지 27
 
6.2%
번 22
 
5.1%
Other values (43) 115
26.4%
Other Punctuation
ValueCountFrequency (%)
* 142
100.0%
Space Separator
ValueCountFrequency (%)
136
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 435
58.9%
Common 303
41.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 61
14.0%
서 30
 
6.9%
구 30
 
6.9%
작 30
 
6.9%
울 30
 
6.9%
시 30
 
6.9%
특 30
 
6.9%
별 30
 
6.9%
지 27
 
6.2%
번 22
 
5.1%
Other values (43) 115
26.4%
Common
ValueCountFrequency (%)
* 142
46.9%
136
44.9%
- 25
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 435
58.9%
ASCII 303
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 142
46.9%
136
44.9%
- 25
 
8.3%
Hangul
ValueCountFrequency (%)
동 61
14.0%
서 30
 
6.9%
구 30
 
6.9%
작 30
 
6.9%
울 30
 
6.9%
시 30
 
6.9%
특 30
 
6.9%
별 30
 
6.9%
지 27
 
6.2%
번 22
 
5.1%
Other values (43) 115
26.4%

도로명주소
Text

MISSING 

Distinct30
Distinct (%)100.0%
Missing1
Missing (%)3.2%
Memory size380.0 B
2024-04-30T04:29:11.423916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length40.5
Mean length30.5
Min length21

Characters and Unicode

Total characters915
Distinct characters79
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

Unique30 ?
Unique (%)100.0%

Sample

1st row서울특별시 동작구 남부순환로***길 * (사당동,덕창빌딩 *층)
2nd row서울특별시 동작구 양녕로 *** (상도동)
3rd row서울특별시 동작구 사당로**길 ** (사당동,*층)
4th row서울특별시 동작구 상도로**길 *-* (상도동,지층)
5th row서울특별시 동작구 상도로**길 * (상도동)
ValueCountFrequency (%)
서울특별시 30
16.7%
30
16.7%
동작구 30
16.7%
층 11
 
6.1%
상도동 8
 
4.4%
사당동 8
 
4.4%
호 5
 
2.8%
대방동 4
 
2.2%
사당로**길 3
 
1.7%
노량진동 3
 
1.7%
Other values (37) 48
26.7%
2024-04-30T04:29:11.719395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
153
16.7%
* 136
 
14.9%
동 64
 
7.0%
작 32
 
3.5%
서 30
 
3.3%
구 30
 
3.3%
( 30
 
3.3%
울 30
 
3.3%
) 30
 
3.3%
시 30
 
3.3%
Other values (69) 350
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 539
58.9%
Other Punctuation 157
 
17.2%
Space Separator 153
 
16.7%
Open Punctuation 30
 
3.3%
Close Punctuation 30
 
3.3%
Dash Punctuation 5
 
0.5%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 64
 
11.9%
작 32
 
5.9%
서 30
 
5.6%
구 30
 
5.6%
울 30
 
5.6%
시 30
 
5.6%
별 30
 
5.6%
특 30
 
5.6%
로 29
 
5.4%
길 18
 
3.3%
Other values (62) 216
40.1%
Other Punctuation
ValueCountFrequency (%)
* 136
86.6%
, 21
 
13.4%
Space Separator
ValueCountFrequency (%)
153
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 539
58.9%
Common 375
41.0%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 64
 
11.9%
작 32
 
5.9%
서 30
 
5.6%
구 30
 
5.6%
울 30
 
5.6%
시 30
 
5.6%
별 30
 
5.6%
특 30
 
5.6%
로 29
 
5.4%
길 18
 
3.3%
Other values (62) 216
40.1%
Common
ValueCountFrequency (%)
153
40.8%
* 136
36.3%
( 30
 
8.0%
) 30
 
8.0%
, 21
 
5.6%
- 5
 
1.3%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 539
58.9%
ASCII 376
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
153
40.7%
* 136
36.2%
( 30
 
8.0%
) 30
 
8.0%
, 21
 
5.6%
- 5
 
1.3%
B 1
 
0.3%
Hangul
ValueCountFrequency (%)
동 64
 
11.9%
작 32
 
5.9%
서 30
 
5.6%
구 30
 
5.6%
울 30
 
5.6%
시 30
 
5.6%
별 30
 
5.6%
특 30
 
5.6%
로 29
 
5.4%
길 18
 
3.3%
Other values (62) 216
40.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)88.9%
Missing4
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean101213.26
Minimum6919
Maximum156882
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-04-30T04:29:11.833455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6919
5-th percentile6925
Q17000.5
median156091
Q3156823.5
95-th percentile156875
Maximum156882
Range149963
Interquartile range (IQR)149823

Descriptive statistics

Standard deviation73655.169
Coefficient of variation (CV)0.72772253
Kurtosis-1.8169248
Mean101213.26
Median Absolute Deviation (MAD)756
Skewness-0.56894338
Sum2732758
Variance5.4250839 × 109
MonotonicityNot monotonic
2024-04-30T04:29:11.953848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
156801 2
 
6.5%
156815 2
 
6.5%
6978 2
 
6.5%
6955 1
 
3.2%
6919 1
 
3.2%
6922 1
 
3.2%
6959 1
 
3.2%
7023 1
 
3.2%
6932 1
 
3.2%
156820 1
 
3.2%
Other values (14) 14
45.2%
(Missing) 4
 
12.9%
ValueCountFrequency (%)
6919 1
3.2%
6922 1
3.2%
6932 1
3.2%
6955 1
3.2%
6959 1
3.2%
6978 2
6.5%
7023 1
3.2%
7024 1
3.2%
7055 1
3.2%
156020 1
3.2%
ValueCountFrequency (%)
156882 1
3.2%
156881 1
3.2%
156861 1
3.2%
156847 1
3.2%
156840 1
3.2%
156832 1
3.2%
156827 1
3.2%
156820 1
3.2%
156815 2
6.5%
156801 2
6.5%

사업장명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-04-30T04:29:12.134784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length6.4193548
Min length3

Characters and Unicode

Total characters199
Distinct characters100
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row유림 인쇄소
2nd row(주)정인사
3rd row인포케어 경매
4th row신춘문예
5th row경승사
ValueCountFrequency (%)
유림 1
 
2.6%
대성디앤피 1
 
2.6%
중심기업협회 1
 
2.6%
탁월 1
 
2.6%
프린테크 1
 
2.6%
이노프린팅 1
 
2.6%
호연프린테크 1
 
2.6%
인피니티 1
 
2.6%
인쇄 1
 
2.6%
kpc프린팅 1
 
2.6%
Other values (28) 28
73.7%
2024-04-30T04:29:12.420563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 11
 
5.5%
주 9
 
4.5%
( 8
 
4.0%
) 8
 
4.0%
린 7
 
3.5%
7
 
3.5%
프 7
 
3.5%
사 5
 
2.5%
쇄 5
 
2.5%
이 5
 
2.5%
Other values (90) 127
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 173
86.9%
Open Punctuation 8
 
4.0%
Close Punctuation 8
 
4.0%
Space Separator 7
 
3.5%
Lowercase Letter 3
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 11
 
6.4%
주 9
 
5.2%
린 7
 
4.0%
프 7
 
4.0%
사 5
 
2.9%
쇄 5
 
2.9%
이 5
 
2.9%
대 5
 
2.9%
피 4
 
2.3%
디 4
 
2.3%
Other values (84) 111
64.2%
Lowercase Letter
ValueCountFrequency (%)
k 1
33.3%
p 1
33.3%
c 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 173
86.9%
Common 23
 
11.6%
Latin 3
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 11
 
6.4%
주 9
 
5.2%
린 7
 
4.0%
프 7
 
4.0%
사 5
 
2.9%
쇄 5
 
2.9%
이 5
 
2.9%
대 5
 
2.9%
피 4
 
2.3%
디 4
 
2.3%
Other values (84) 111
64.2%
Common
ValueCountFrequency (%)
( 8
34.8%
) 8
34.8%
7
30.4%
Latin
ValueCountFrequency (%)
k 1
33.3%
p 1
33.3%
c 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 173
86.9%
ASCII 26
 
13.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 11
 
6.4%
주 9
 
5.2%
린 7
 
4.0%
프 7
 
4.0%
사 5
 
2.9%
쇄 5
 
2.9%
이 5
 
2.9%
대 5
 
2.9%
피 4
 
2.3%
디 4
 
2.3%
Other values (84) 111
64.2%
ASCII
ValueCountFrequency (%)
( 8
30.8%
) 8
30.8%
7
26.9%
k 1
 
3.8%
p 1
 
3.8%
c 1
 
3.8%

최종수정일자
Date

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum2003-04-18 11:56:21
Maximum2024-01-24 10:34:01
2024-04-30T04:29:12.518294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:29:12.622700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
I
25 
U
6 

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 25
80.6%
U 6
 
19.4%

Length

2024-04-30T04:29:12.734537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:29:12.820765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 25
80.6%
u 6
 
19.4%

데이터갱신일자
Date

Distinct10
Distinct (%)32.3%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum2018-08-31 23:59:59
Maximum2023-11-30 22:06:00
2024-04-30T04:29:12.898615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:29:12.985969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

좌표정보(X)
Real number (ℝ)

Distinct30
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean195804.1
Minimum193157.04
Maximum198252.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-04-30T04:29:13.090950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum193157.04
5-th percentile193380.12
Q1194319.91
median195791.53
Q3197433.73
95-th percentile198102.99
Maximum198252.7
Range5095.6572
Interquartile range (IQR)3113.817

Descriptive statistics

Standard deviation1642.3992
Coefficient of variation (CV)0.0083879713
Kurtosis-1.311288
Mean195804.1
Median Absolute Deviation (MAD)1598.616
Skewness0.054371767
Sum6069927.1
Variance2697475
MonotonicityNot monotonic
2024-04-30T04:29:13.190489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
196147.389253733 2
 
6.5%
194284.30185722 1
 
3.2%
194355.5230189 1
 
3.2%
195412.661082607 1
 
3.2%
194772.975405476 1
 
3.2%
194028.639907457 1
 
3.2%
197477.315759087 1
 
3.2%
193974.84793033 1
 
3.2%
197818.832113204 1
 
3.2%
197316.373661726 1
 
3.2%
Other values (20) 20
64.5%
ValueCountFrequency (%)
193157.038948912 1
3.2%
193201.797615433 1
3.2%
193558.449456395 1
3.2%
193902.895325924 1
3.2%
193974.84793033 1
3.2%
194028.639907457 1
3.2%
194084.216123218 1
3.2%
194284.30185722 1
3.2%
194355.5230189 1
3.2%
194772.975405476 1
3.2%
ValueCountFrequency (%)
198252.696137472 1
3.2%
198173.460006831 1
3.2%
198032.516809375 1
3.2%
198018.748059611 1
3.2%
197865.153767475 1
3.2%
197818.832113204 1
3.2%
197763.511565156 1
3.2%
197477.315759087 1
3.2%
197390.143152718 1
3.2%
197316.373661726 1
3.2%

좌표정보(Y)
Real number (ℝ)

Distinct30
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean443831.08
Minimum441543.54
Maximum445648.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-04-30T04:29:13.284024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441543.54
5-th percentile441643.75
Q1442730.05
median444039.65
Q3444694.76
95-th percentile445598.99
Maximum445648.07
Range4104.5345
Interquartile range (IQR)1964.7119

Descriptive statistics

Standard deviation1312.1399
Coefficient of variation (CV)0.0029563949
Kurtosis-1.0085738
Mean443831.08
Median Absolute Deviation (MAD)962.89545
Skewness-0.38477984
Sum13758763
Variance1721711.2
MonotonicityNot monotonic
2024-04-30T04:29:13.374019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
443795.142708592 2
 
6.5%
444582.345380427 1
 
3.2%
444698.341274421 1
 
3.2%
444657.286376856 1
 
3.2%
445623.080168564 1
 
3.2%
444301.343900875 1
 
3.2%
441543.537610587 1
 
3.2%
445359.766731669 1
 
3.2%
442398.159242573 1
 
3.2%
442394.123759734 1
 
3.2%
Other values (20) 20
64.5%
ValueCountFrequency (%)
441543.537610587 1
3.2%
441627.436611564 1
3.2%
441660.055575466 1
3.2%
441661.732003124 1
3.2%
442112.184827424 1
3.2%
442394.123759734 1
3.2%
442398.159242573 1
3.2%
442578.047270398 1
3.2%
442882.056804992 1
3.2%
443096.085201883 1
3.2%
ValueCountFrequency (%)
445648.072068046 1
3.2%
445623.080168564 1
3.2%
445574.892937506 1
3.2%
445509.591361644 1
3.2%
445359.766731669 1
3.2%
445293.921295532 1
3.2%
445002.543449291 1
3.2%
444698.341274421 1
3.2%
444691.186509661 1
3.2%
444657.286376856 1
3.2%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
인쇄사
29 
<NA>
 
2

Length

Max length4
Median length3
Mean length3.0645161
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인쇄사 29
93.5%
<NA> 2
 
6.5%

Length

2024-04-30T04:29:13.489996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:29:13.579146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인쇄사 29
93.5%
na 2
 
6.5%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
출판인쇄업
29 
<NA>
 
2

Length

Max length5
Median length5
Mean length4.9354839
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판인쇄업 29
93.5%
<NA> 2
 
6.5%

Length

2024-04-30T04:29:13.860802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:29:13.936834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 29
93.5%
na 2
 
6.5%

총층수
Categorical

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
23 
4
3 
3
3 
5
 
1
2
 
1

Length

Max length4
Median length4
Mean length3.2258065
Min length1

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
74.2%
4 3
 
9.7%
3 3
 
9.7%
5 1
 
3.2%
2 1
 
3.2%

Length

2024-04-30T04:29:14.020701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:29:14.112535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
74.2%
4 3
 
9.7%
3 3
 
9.7%
5 1
 
3.2%
2 1
 
3.2%

주변환경명
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
25 
주택가주변
6 

Length

Max length5
Median length4
Mean length4.1935484
Min length4

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> 25
80.6%
주택가주변 6
 
19.4%

Length

2024-04-30T04:29:14.218273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:29:14.310204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
80.6%
주택가주변 6
 
19.4%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)81.8%
Missing20
Missing (%)64.5%
Infinite0
Infinite (%)0.0%
Mean76.290909
Minimum0
Maximum439.27
Zeros3
Zeros (%)9.7%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-04-30T04:29:14.397266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median49.5
Q367.59
95-th percentile276.935
Maximum439.27
Range439.27
Interquartile range (IQR)61.59

Descriptive statistics

Standard deviation125.6978
Coefficient of variation (CV)1.6476118
Kurtosis8.6730549
Mean76.290909
Median Absolute Deviation (MAD)37.5
Skewness2.8420474
Sum839.2
Variance15799.938
MonotonicityNot monotonic
2024-04-30T04:29:14.494584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 3
 
9.7%
12.0 1
 
3.2%
439.27 1
 
3.2%
58.84 1
 
3.2%
52.0 1
 
3.2%
36.65 1
 
3.2%
76.34 1
 
3.2%
114.6 1
 
3.2%
49.5 1
 
3.2%
(Missing) 20
64.5%
ValueCountFrequency (%)
0.0 3
9.7%
12.0 1
 
3.2%
36.65 1
 
3.2%
49.5 1
 
3.2%
52.0 1
 
3.2%
58.84 1
 
3.2%
76.34 1
 
3.2%
114.6 1
 
3.2%
439.27 1
 
3.2%
ValueCountFrequency (%)
439.27 1
 
3.2%
114.6 1
 
3.2%
76.34 1
 
3.2%
58.84 1
 
3.2%
52.0 1
 
3.2%
49.5 1
 
3.2%
36.65 1
 
3.2%
12.0 1
 
3.2%
0.0 3
9.7%

지상층수
Categorical

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
23 
3
4 
4
 
2
5
 
1
2
 
1

Length

Max length4
Median length4
Mean length3.2258065
Min length1

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
74.2%
3 4
 
12.9%
4 2
 
6.5%
5 1
 
3.2%
2 1
 
3.2%

Length

2024-04-30T04:29:14.595215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:29:14.687419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
74.2%
3 4
 
12.9%
4 2
 
6.5%
5 1
 
3.2%
2 1
 
3.2%

지하층수
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
25 
1
6 

Length

Max length4
Median length4
Mean length3.4193548
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> 25
80.6%
1 6
 
19.4%

Length

2024-04-30T04:29:14.785473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:29:14.882890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
80.6%
1 6
 
19.4%

건물용도명
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
24 
근린생활시설
7 

Length

Max length6
Median length4
Mean length4.4516129
Min length4

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> 24
77.4%
근린생활시설 7
 
22.6%

Length

2024-04-30T04:29:14.972867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:29:15.064793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
77.4%
근린생활시설 7
 
22.6%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

지역구분명
Text

MISSING 

Distinct3
Distinct (%)50.0%
Missing25
Missing (%)80.6%
Memory size380.0 B
2024-04-30T04:29:15.173529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.6666667
Min length4

Characters and Unicode

Total characters34
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 (%)16.7%

Sample

1st row근린상업지역
2nd row상업지역
3rd row일반주거지역
4th row일반주거지역
5th row일반주거지역
ValueCountFrequency (%)
일반주거지역 3
50.0%
근린상업지역 2
33.3%
상업지역 1
 
16.7%
2024-04-30T04:29:15.406360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 6
17.6%
역 6
17.6%
일 3
8.8%
반 3
8.8%
주 3
8.8%
거 3
8.8%
상 3
8.8%
업 3
8.8%
근 2
 
5.9%
린 2
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 6
17.6%
역 6
17.6%
일 3
8.8%
반 3
8.8%
주 3
8.8%
거 3
8.8%
상 3
8.8%
업 3
8.8%
근 2
 
5.9%
린 2
 
5.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 6
17.6%
역 6
17.6%
일 3
8.8%
반 3
8.8%
주 3
8.8%
거 3
8.8%
상 3
8.8%
업 3
8.8%
근 2
 
5.9%
린 2
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 6
17.6%
역 6
17.6%
일 3
8.8%
반 3
8.8%
주 3
8.8%
거 3
8.8%
상 3
8.8%
업 3
8.8%
근 2
 
5.9%
린 2
 
5.9%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03190000CDFG125200199500000119950414<NA>3폐업3폐업20090506<NA><NA><NA>814-1235<NA><NA>서울특별시 동작구 상도동 ***-*번지<NA><NA>유림 인쇄소2009-05-06 16:12:53I2018-08-31 23:59:59.0<NA>194284.301857444582.34538인쇄사출판인쇄업<NA><NA><NA>0.0<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>
13190000CDFG125200199800000119981031<NA>3폐업3폐업20020207<NA><NA><NA>3486-6791<NA>156827서울특별시 동작구 사당동 ****-*번지 덕창빌딩 *층서울특별시 동작구 남부순환로***길 * (사당동,덕창빌딩 *층)<NA>(주)정인사2003-04-18 11:56:21I2018-08-31 23:59:59.0<NA>198032.516809441661.732003인쇄사출판인쇄업<NA><NA><NA>0.0<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>
23190000CDFG125200200100000120011106<NA>1영업/정상13영업중<NA><NA><NA><NA>824-8575<NA>156031서울특별시 동작구 상도동 ***-*번지서울특별시 동작구 양녕로 *** (상도동)156031인포케어 경매2013-12-10 14:00:27I2018-08-31 23:59:59.0<NA>195232.520514444484.254418인쇄사출판인쇄업<NA><NA><NA>0.0<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>
33190000CDFG125200200200000120020219<NA>3폐업3폐업20120326<NA><NA><NA>798-6001<NA>156823서울특별시 동작구 사당동 ***-***번지 *층서울특별시 동작구 사당로**길 ** (사당동,*층)<NA>신춘문예2012-07-26 15:41:35I2018-08-31 23:59:59.0<NA>197763.511565442112.184827인쇄사출판인쇄업<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>
43190000CDFG125200200300000120030707<NA>3폐업3폐업20070130<NA><NA><NA>874-2581<NA>156831서울특별시 동작구 상도동 **-**번지 지층서울특별시 동작구 상도로**길 *-* (상도동,지층)<NA>경승사2007-08-06 13:07:36I2018-08-31 23:59:59.0<NA>195126.002583444691.18651인쇄사출판인쇄업<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>
53190000CDFG125200200500000220050907<NA>1영업/정상13영업중<NA><NA><NA><NA>812-2090<NA>156882서울특별시 동작구 상도동 ***-*번지 *층서울특별시 동작구 상도로**길 * (상도동)156882대동인쇄소2013-12-10 13:57:28I2018-08-31 23:59:59.0<NA>195791.527115443761.183171인쇄사출판인쇄업4<NA><NA>12.04<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63190000CDFG125200200600000120060728<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 남부순환로 ****, *층 (사당동)7024유일프린팅2016-07-19 22:13:09I2018-08-31 23:59:59.0<NA>197865.153767441627.436612인쇄사출판인쇄업4<NA><NA><NA>31근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73190000CDFG125200200600000220061107<NA>1영업/정상13영업중<NA><NA><NA><NA>815-8386<NA>156060서울특별시 동작구 본동 *-**번지서울특별시 동작구 노량진로**길 ** (본동)156060좋은그림2013-12-10 13:54:51I2018-08-31 23:59:59.0<NA>196094.085263445574.892938인쇄사출판인쇄업<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>
83190000CDFG125200200700000120070418<NA>1영업/정상13영업중<NA><NA><NA><NA>02-815-0407<NA><NA>서울특별시 동작구 대방동 ***-**번지 ***호서울특별시 동작구 여의대방로**길 **, *층 ***호 (대방동, 신호빌딩)7055미래미디어2017-03-09 14:05:26I2018-08-31 23:59:59.0<NA>193201.797615444039.647999인쇄사출판인쇄업<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>
93190000CDFG125200200700000220070601<NA>1영업/정상13영업중<NA><NA><NA><NA>825-2457<NA>156801서울특별시 동작구 노량진동 ***-**번지서울특별시 동작구 노량진로 *** (노량진동)156801(주)고려출판2013-12-10 13:52:17I2018-08-31 23:59:59.0<NA>195240.626512445648.072068인쇄사출판인쇄업<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>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
213190000CDFG125200201400000220141111<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3280-9436<NA>156020서울특별시 동작구 대방동 **-**번지서울특별시 동작구 등용로 **-*, 지층층 (대방동)156020호연프린테크2015-07-09 20:18:51I2018-08-31 23:59:59.0<NA>193902.895326445293.921296인쇄사출판인쇄업<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>
223190000CDFG125200201400000320141125<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8100-5090<NA>156091서울특별시 동작구 사당동 ***-*번지서울특별시 동작구 사당로**길 **, *층 (사당동)156091인피니티 인쇄2014-11-25 10:53:34I2018-08-31 23:59:59.0<NA>197316.373662442394.12376인쇄사출판인쇄업3주택가주변<NA>114.631근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
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243190000CDFG125200201500000120150423<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 대방동 **-**번지서울특별시 동작구 등용로**길 **, *층 (대방동)6932kpc프린팅2020-05-25 16:19:41U2020-05-27 02:40:00.0<NA>193974.84793445359.766732인쇄사출판인쇄업<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>
253190000CDFG125200201600000120130522<NA>1영업/정상13영업중<NA><NA><NA><NA>02-529-1290<NA><NA>서울특별시 동작구 사당동 ****-**번지 ***호서울특별시 동작구 남부순환로 ****, *층 ***호 (사당동, 옥석빌딩)7023(주)브랜비즈2016-09-20 09:35:10I2018-08-31 23:59:59.0<NA>197477.315759441543.537611인쇄사출판인쇄업<NA><NA><NA>49.5<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>
263190000CDFG125200202000000120200917<NA>3폐업3폐업20210322<NA><NA><NA>02-3286-9762<NA><NA>서울특별시 동작구 상도동 *** 숭실대학교서울특별시 동작구 상도로 ***, 숭실대학교 신양관 ***호 (상도동)6978(주)아이프린트 숭실대지점2021-03-17 17:28:40U2021-03-19 02:40:00.0<NA>196147.389254443795.142709인쇄사출판인쇄업<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>
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283190000CDFG12520020210000012021-03-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도동 *** 숭실대학교서울특별시 동작구 상도로 ***, 숭실대학교 학생회관 *층 ***호 (상도동)6978마이피오디2024-01-24 10:34:01U2023-11-30 22:06:00.0<NA>196147.389254443795.142709<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>
293190000CDFG125200202100000220210408<NA>1영업/정상13영업중<NA><NA><NA><NA>02-798-4783<NA><NA>서울특별시 동작구 노량진동 **-* 메가스터디타워서울특별시 동작구 노량진로 ***, 메가스터디타워 B***호 (노량진동)6922대도씨앤피2021-04-08 09:03:52I2021-04-10 00:23:08.0<NA>194772.975405445623.080169인쇄사출판인쇄업<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>
303190000CDFG125200202200000120220628<NA>1영업/정상13영업중<NA><NA><NA><NA>02-812-1762<NA><NA>서울특별시 동작구 상도*동 ***서울특별시 동작구 양녕로 ***, *층 (상도*동)6919주식회사 스페셜아트2022-06-28 17:53:54I2021-12-05 21:00:00.0<NA>195412.661083444657.286377<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>