Overview

Dataset statistics

Number of variables56
Number of observations38
Missing cells1272
Missing cells (%)59.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.3 KiB
Average record size in memory493.5 B

Variable types

Categorical11
Text6
DateTime3
Numeric6
Unsupported30

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
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-17777/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (82.4%)Imbalance
총층수 is highly imbalanced (82.4%)Imbalance
지상층수 is highly imbalanced (82.4%)Imbalance
폐업일자 has 30 (78.9%) missing valuesMissing
휴업시작일자 has 38 (100.0%) missing valuesMissing
휴업종료일자 has 38 (100.0%) missing valuesMissing
재개업일자 has 38 (100.0%) missing valuesMissing
전화번호 has 13 (34.2%) missing valuesMissing
소재지면적 has 38 (100.0%) missing valuesMissing
소재지우편번호 has 29 (76.3%) missing valuesMissing
도로명주소 has 1 (2.6%) missing valuesMissing
도로명우편번호 has 10 (26.3%) missing valuesMissing
업태구분명 has 38 (100.0%) missing valuesMissing
좌표정보(X) has 1 (2.6%) missing valuesMissing
좌표정보(Y) has 1 (2.6%) missing valuesMissing
주변환경명 has 38 (100.0%) missing valuesMissing
제작취급품목내용 has 16 (42.1%) missing valuesMissing
시설면적 has 31 (81.6%) missing valuesMissing
지하층수 has 38 (100.0%) missing valuesMissing
건물용도명 has 38 (100.0%) missing valuesMissing
통로너비 has 38 (100.0%) missing valuesMissing
조명시설조도 has 38 (100.0%) missing valuesMissing
노래방실수 has 38 (100.0%) missing valuesMissing
청소년실수 has 38 (100.0%) missing valuesMissing
비상계단여부 has 38 (100.0%) missing valuesMissing
비상구여부 has 38 (100.0%) missing valuesMissing
자동환기여부 has 38 (100.0%) missing valuesMissing
청소년실여부 has 38 (100.0%) missing valuesMissing
특수조명여부 has 38 (100.0%) missing valuesMissing
방음시설여부 has 38 (100.0%) missing valuesMissing
비디오재생기명 has 38 (100.0%) missing valuesMissing
조명시설유무 has 38 (100.0%) missing valuesMissing
음향시설여부 has 38 (100.0%) missing valuesMissing
편의시설여부 has 38 (100.0%) missing valuesMissing
소방시설여부 has 38 (100.0%) missing valuesMissing
총게임기수 has 38 (100.0%) missing valuesMissing
기존게임업외업종명 has 38 (100.0%) missing valuesMissing
제공게임물명 has 38 (100.0%) missing valuesMissing
공연장형태구분명 has 38 (100.0%) missing valuesMissing
품목명 has 38 (100.0%) missing valuesMissing
최초등록시점 has 38 (100.0%) missing valuesMissing
지역구분명 has 38 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
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
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지하층수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 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
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-06 10:51:49.964836
Analysis finished2024-04-06 10:51:51.271478
Duration1.31 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
3000000
38 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000000
2nd row3000000
3rd row3000000
4th row3000000
5th row3000000

Common Values

ValueCountFrequency (%)
3000000 38
100.0%

Length

2024-04-06T19:51:51.398000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:51:51.546243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 38
100.0%

관리번호
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-04-06T19:51:51.823668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters760
Distinct characters13
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

Unique38 ?
Unique (%)100.0%

Sample

1st rowCDFF3241101999000001
2nd rowCDFF3241102000000001
3rd rowCDFF3241102001000001
4th rowCDFF3241102002000002
5th rowCDFF3241102003000001
ValueCountFrequency (%)
cdff3241101999000001 1
 
2.6%
cdff3241102018000004 1
 
2.6%
cdff3241102023000002 1
 
2.6%
cdff3241102017000001 1
 
2.6%
cdff3241102017000002 1
 
2.6%
cdff3241102017000003 1
 
2.6%
cdff3241102018000001 1
 
2.6%
cdff3241102018000002 1
 
2.6%
cdff3241102018000003 1
 
2.6%
cdff3241102020000001 1
 
2.6%
Other values (28) 28
73.7%
2024-04-06T19:51:52.453505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 278
36.6%
1 115
15.1%
2 103
 
13.6%
F 76
 
10.0%
3 50
 
6.6%
4 40
 
5.3%
C 38
 
5.0%
D 38
 
5.0%
9 6
 
0.8%
7 6
 
0.8%
Other values (3) 10
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 608
80.0%
Uppercase Letter 152
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 278
45.7%
1 115
18.9%
2 103
 
16.9%
3 50
 
8.2%
4 40
 
6.6%
9 6
 
1.0%
7 6
 
1.0%
6 4
 
0.7%
8 4
 
0.7%
5 2
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 76
50.0%
C 38
25.0%
D 38
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 608
80.0%
Latin 152
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 278
45.7%
1 115
18.9%
2 103
 
16.9%
3 50
 
8.2%
4 40
 
6.6%
9 6
 
1.0%
7 6
 
1.0%
6 4
 
0.7%
8 4
 
0.7%
5 2
 
0.3%
Latin
ValueCountFrequency (%)
F 76
50.0%
C 38
25.0%
D 38
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 760
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 278
36.6%
1 115
15.1%
2 103
 
13.6%
F 76
 
10.0%
3 50
 
6.6%
4 40
 
5.3%
C 38
 
5.0%
D 38
 
5.0%
9 6
 
0.8%
7 6
 
0.8%
Other values (3) 10
 
1.3%

인허가일자
Date

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size436.0 B
Minimum1999-09-17 00:00:00
Maximum2023-05-11 00:00:00
2024-04-06T19:51:52.696751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:51:52.952383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
37 
20101231
 
1

Length

Max length8
Median length4
Mean length4.1052632
Min length4

Unique

Unique1 ?
Unique (%)2.6%

Sample

1st row<NA>
2nd row20101231
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 37
97.4%
20101231 1
 
2.6%

Length

2024-04-06T19:51:53.237944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:51:53.446651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
97.4%
20101231 1
 
2.6%

영업상태코드
Categorical

Distinct4
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
1
29 
3
6 
5
 
2
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

1st row1
2nd row4
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 29
76.3%
3 6
 
15.8%
5 2
 
5.3%
4 1
 
2.6%

Length

2024-04-06T19:51:53.620897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:51:53.804703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 29
76.3%
3 6
 
15.8%
5 2
 
5.3%
4 1
 
2.6%

영업상태명
Categorical

Distinct4
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
영업/정상
29 
폐업
6 
제외/삭제/전출
 
2
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.9210526
Min length2

Unique

Unique1 ?
Unique (%)2.6%

Sample

1st row영업/정상
2nd row취소/말소/만료/정지/중지
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 29
76.3%
폐업 6
 
15.8%
제외/삭제/전출 2
 
5.3%
취소/말소/만료/정지/중지 1
 
2.6%

Length

2024-04-06T19:51:54.024296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:51:54.243725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 29
76.3%
폐업 6
 
15.8%
제외/삭제/전출 2
 
5.3%
취소/말소/만료/정지/중지 1
 
2.6%

상세영업상태코드
Categorical

Distinct4
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
13
29 
3
6 
15
 
2
31
 
1

Length

Max length2
Median length2
Mean length1.8421053
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

1st row13
2nd row31
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 29
76.3%
3 6
 
15.8%
15 2
 
5.3%
31 1
 
2.6%

Length

2024-04-06T19:51:54.452251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:51:54.644591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 29
76.3%
3 6
 
15.8%
15 2
 
5.3%
31 1
 
2.6%

상세영업상태명
Categorical

Distinct4
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
영업중
29 
폐업
6 
전출
 
2
등록취소
 
1

Length

Max length4
Median length3
Mean length2.8157895
Min length2

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 29
76.3%
폐업 6
 
15.8%
전출 2
 
5.3%
등록취소 1
 
2.6%

Length

2024-04-06T19:51:54.876909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:51:55.087348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 29
76.3%
폐업 6
 
15.8%
전출 2
 
5.3%
등록취소 1
 
2.6%

폐업일자
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing30
Missing (%)78.9%
Infinite0
Infinite (%)0.0%
Mean20185752
Minimum20110110
Maximum20221216
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-06T19:51:55.322122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110110
5-th percentile20117178
Q120168334
median20200820
Q320220794
95-th percentile20221147
Maximum20221216
Range111106
Interquartile range (IQR)52460

Descriptive statistics

Standard deviation43447.018
Coefficient of variation (CV)0.0021523606
Kurtosis-0.35487693
Mean20185752
Median Absolute Deviation (MAD)20049
Skewness-1.0579571
Sum1.6148602 × 108
Variance1.8876434 × 109
MonotonicityNot monotonic
2024-04-06T19:51:55.552345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20130305 1
 
2.6%
20110110 1
 
2.6%
20190408 1
 
2.6%
20181010 1
 
2.6%
20221216 1
 
2.6%
20211231 1
 
2.6%
20220719 1
 
2.6%
20221018 1
 
2.6%
(Missing) 30
78.9%
ValueCountFrequency (%)
20110110 1
2.6%
20130305 1
2.6%
20181010 1
2.6%
20190408 1
2.6%
20211231 1
2.6%
20220719 1
2.6%
20221018 1
2.6%
20221216 1
2.6%
ValueCountFrequency (%)
20221216 1
2.6%
20221018 1
2.6%
20220719 1
2.6%
20211231 1
2.6%
20190408 1
2.6%
20181010 1
2.6%
20130305 1
2.6%
20110110 1
2.6%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

전화번호
Text

MISSING 

Distinct24
Distinct (%)96.0%
Missing13
Missing (%)34.2%
Memory size436.0 B
2024-04-06T19:51:55.815909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.96
Min length8

Characters and Unicode

Total characters274
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

Unique23 ?
Unique (%)92.0%

Sample

1st row02-730-8080
2nd row02-747-3300
3rd row02-762-0232
4th row2260-4424
5th row3672-2696
ValueCountFrequency (%)
070-8860-7080 2
 
8.0%
02-387-5411 1
 
4.0%
02-730-8080 1
 
4.0%
02)747-1026 1
 
4.0%
070-5030-3815 1
 
4.0%
0263324036 1
 
4.0%
02-2158-8018 1
 
4.0%
02-735-1085 1
 
4.0%
02-383-7580 1
 
4.0%
070-8822-1363 1
 
4.0%
Other values (14) 14
56.0%
2024-04-06T19:51:56.350973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 55
20.1%
2 42
15.3%
- 40
14.6%
3 27
9.9%
8 24
8.8%
7 23
8.4%
6 17
 
6.2%
1 16
 
5.8%
4 13
 
4.7%
5 12
 
4.4%
Other values (2) 5
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 233
85.0%
Dash Punctuation 40
 
14.6%
Close Punctuation 1
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 55
23.6%
2 42
18.0%
3 27
11.6%
8 24
10.3%
7 23
9.9%
6 17
 
7.3%
1 16
 
6.9%
4 13
 
5.6%
5 12
 
5.2%
9 4
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 274
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 55
20.1%
2 42
15.3%
- 40
14.6%
3 27
9.9%
8 24
8.8%
7 23
8.4%
6 17
 
6.2%
1 16
 
5.8%
4 13
 
4.7%
5 12
 
4.4%
Other values (2) 5
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 274
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 55
20.1%
2 42
15.3%
- 40
14.6%
3 27
9.9%
8 24
8.8%
7 23
8.4%
6 17
 
6.2%
1 16
 
5.8%
4 13
 
4.7%
5 12
 
4.4%
Other values (2) 5
 
1.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)88.9%
Missing29
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean110420.22
Minimum110052
Maximum110855
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-06T19:51:56.557520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110052
5-th percentile110052.8
Q1110054
median110370
Q3110801
95-th percentile110842.6
Maximum110855
Range803
Interquartile range (IQR)747

Descriptive statistics

Standard deviation371.72933
Coefficient of variation (CV)0.0033664968
Kurtosis-2.3402595
Mean110420.22
Median Absolute Deviation (MAD)318
Skewness0.10749039
Sum993782
Variance138182.69
MonotonicityNot monotonic
2024-04-06T19:51:56.756830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
110054 2
 
5.3%
110801 1
 
2.6%
110855 1
 
2.6%
110052 1
 
2.6%
110070 1
 
2.6%
110824 1
 
2.6%
110370 1
 
2.6%
110702 1
 
2.6%
(Missing) 29
76.3%
ValueCountFrequency (%)
110052 1
2.6%
110054 2
5.3%
110070 1
2.6%
110370 1
2.6%
110702 1
2.6%
110801 1
2.6%
110824 1
2.6%
110855 1
2.6%
ValueCountFrequency (%)
110855 1
2.6%
110824 1
2.6%
110801 1
2.6%
110702 1
2.6%
110370 1
2.6%
110070 1
2.6%
110054 2
5.3%
110052 1
2.6%

지번주소
Text

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-04-06T19:51:57.153169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length30
Mean length25.052632
Min length18

Characters and Unicode

Total characters952
Distinct characters103
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)94.7%

Sample

1st row서울특별시 종로구 사직동 ***-**번지
2nd row서울특별시 종로구 재동 **번지 재동빌딩*층
3rd row서울특별시 종로구 충신동 **번지 예일빌딩 *층
4th row서울특별시 종로구 계동 ***-**번지 현진빌딩 *층
5th row서울특별시 종로구 인의동 **-* 인의빌딩*층
ValueCountFrequency (%)
서울특별시 38
19.9%
종로구 38
19.9%
번지 26
13.6%
13
 
6.8%
층 10
 
5.2%
호 5
 
2.6%
청진동 3
 
1.6%
동숭동 3
 
1.6%
낙원동 3
 
1.6%
숭인동 3
 
1.6%
Other values (42) 49
25.7%
2024-04-06T19:51:57.776624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
182
19.1%
* 160
16.8%
종 43
 
4.5%
로 43
 
4.5%
서 40
 
4.2%
울 40
 
4.2%
동 39
 
4.1%
특 38
 
4.0%
별 38
 
4.0%
시 38
 
4.0%
Other values (93) 291
30.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 582
61.1%
Space Separator 182
 
19.1%
Other Punctuation 160
 
16.8%
Dash Punctuation 19
 
2.0%
Uppercase Letter 5
 
0.5%
Decimal Number 2
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
종 43
 
7.4%
로 43
 
7.4%
서 40
 
6.9%
울 40
 
6.9%
동 39
 
6.7%
특 38
 
6.5%
별 38
 
6.5%
시 38
 
6.5%
구 38
 
6.5%
지 27
 
4.6%
Other values (81) 198
34.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
20.0%
C 1
20.0%
Y 1
20.0%
B 1
20.0%
M 1
20.0%
Decimal Number
ValueCountFrequency (%)
7 1
50.0%
0 1
50.0%
Space Separator
ValueCountFrequency (%)
182
100.0%
Other Punctuation
ValueCountFrequency (%)
* 160
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 582
61.1%
Common 365
38.3%
Latin 5
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
종 43
 
7.4%
로 43
 
7.4%
서 40
 
6.9%
울 40
 
6.9%
동 39
 
6.7%
특 38
 
6.5%
별 38
 
6.5%
시 38
 
6.5%
구 38
 
6.5%
지 27
 
4.6%
Other values (81) 198
34.0%
Common
ValueCountFrequency (%)
182
49.9%
* 160
43.8%
- 19
 
5.2%
7 1
 
0.3%
0 1
 
0.3%
( 1
 
0.3%
) 1
 
0.3%
Latin
ValueCountFrequency (%)
S 1
20.0%
C 1
20.0%
Y 1
20.0%
B 1
20.0%
M 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 582
61.1%
ASCII 370
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
182
49.2%
* 160
43.2%
- 19
 
5.1%
7 1
 
0.3%
0 1
 
0.3%
( 1
 
0.3%
) 1
 
0.3%
S 1
 
0.3%
C 1
 
0.3%
Y 1
 
0.3%
Other values (2) 2
 
0.5%
Hangul
ValueCountFrequency (%)
종 43
 
7.4%
로 43
 
7.4%
서 40
 
6.9%
울 40
 
6.9%
동 39
 
6.7%
특 38
 
6.5%
별 38
 
6.5%
시 38
 
6.5%
구 38
 
6.5%
지 27
 
4.6%
Other values (81) 198
34.0%

도로명주소
Text

MISSING 

Distinct37
Distinct (%)100.0%
Missing1
Missing (%)2.6%
Memory size436.0 B
2024-04-06T19:51:58.219085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length36
Mean length31.891892
Min length23

Characters and Unicode

Total characters1180
Distinct characters119
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)100.0%

Sample

1st row서울특별시 종로구 사직로 ** (사직동)
2nd row서울특별시 종로구 북촌로 * (재동,재동빌딩*층)
3rd row서울특별시 종로구 율곡로 ***, *층 (충신동)
4th row서울특별시 종로구 창덕궁*길 ** (계동,현진빌딩 *층)
5th row서울특별시 종로구 창경궁로 ***-* (인의동)
ValueCountFrequency (%)
38
16.3%
서울특별시 37
15.9%
종로구 37
15.9%
층 16
 
6.9%
호 9
 
3.9%
종로 6
 
2.6%
동숭동 3
 
1.3%
종로*가 3
 
1.3%
낙원동 3
 
1.3%
청진동 3
 
1.3%
Other values (69) 78
33.5%
2024-04-06T19:51:58.863758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
205
17.4%
* 177
15.0%
로 74
 
6.3%
종 55
 
4.7%
동 42
 
3.6%
서 39
 
3.3%
울 39
 
3.3%
) 38
 
3.2%
( 38
 
3.2%
특 37
 
3.1%
Other values (109) 436
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 671
56.9%
Other Punctuation 212
 
18.0%
Space Separator 205
 
17.4%
Close Punctuation 38
 
3.2%
Open Punctuation 38
 
3.2%
Dash Punctuation 6
 
0.5%
Uppercase Letter 6
 
0.5%
Decimal Number 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 74
 
11.0%
종 55
 
8.2%
동 42
 
6.3%
서 39
 
5.8%
울 39
 
5.8%
특 37
 
5.5%
별 37
 
5.5%
시 37
 
5.5%
구 37
 
5.5%
층 21
 
3.1%
Other values (94) 253
37.7%
Uppercase Letter
ValueCountFrequency (%)
Y 1
16.7%
B 1
16.7%
M 1
16.7%
S 1
16.7%
D 1
16.7%
C 1
16.7%
Decimal Number
ValueCountFrequency (%)
3 2
50.0%
7 1
25.0%
1 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 177
83.5%
, 35
 
16.5%
Space Separator
ValueCountFrequency (%)
205
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 671
56.9%
Common 503
42.6%
Latin 6
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 74
 
11.0%
종 55
 
8.2%
동 42
 
6.3%
서 39
 
5.8%
울 39
 
5.8%
특 37
 
5.5%
별 37
 
5.5%
시 37
 
5.5%
구 37
 
5.5%
층 21
 
3.1%
Other values (94) 253
37.7%
Common
ValueCountFrequency (%)
205
40.8%
* 177
35.2%
) 38
 
7.6%
( 38
 
7.6%
, 35
 
7.0%
- 6
 
1.2%
3 2
 
0.4%
7 1
 
0.2%
1 1
 
0.2%
Latin
ValueCountFrequency (%)
Y 1
16.7%
B 1
16.7%
M 1
16.7%
S 1
16.7%
D 1
16.7%
C 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 671
56.9%
ASCII 509
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
205
40.3%
* 177
34.8%
) 38
 
7.5%
( 38
 
7.5%
, 35
 
6.9%
- 6
 
1.2%
3 2
 
0.4%
7 1
 
0.2%
1 1
 
0.2%
Y 1
 
0.2%
Other values (5) 5
 
1.0%
Hangul
ValueCountFrequency (%)
로 74
 
11.0%
종 55
 
8.2%
동 42
 
6.3%
서 39
 
5.8%
울 39
 
5.8%
특 37
 
5.5%
별 37
 
5.5%
시 37
 
5.5%
구 37
 
5.5%
층 21
 
3.1%
Other values (94) 253
37.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)92.9%
Missing10
Missing (%)26.3%
Infinite0
Infinite (%)0.0%
Mean3122.9643
Minimum3020
Maximum3194
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-06T19:51:59.049457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3020
5-th percentile3037.1
Q13084.75
median3131.5
Q33157.5
95-th percentile3189.25
Maximum3194
Range174
Interquartile range (IQR)72.75

Descriptive statistics

Standard deviation47.473565
Coefficient of variation (CV)0.015201444
Kurtosis-0.45628762
Mean3122.9643
Median Absolute Deviation (MAD)34.5
Skewness-0.49722979
Sum87443
Variance2253.7394
MonotonicityNot monotonic
2024-04-06T19:51:59.262665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
3139 2
 
5.3%
3159 2
 
5.3%
3191 1
 
2.6%
3020 1
 
2.6%
3154 1
 
2.6%
3074 1
 
2.6%
3157 1
 
2.6%
3175 1
 
2.6%
3125 1
 
2.6%
3108 1
 
2.6%
Other values (16) 16
42.1%
(Missing) 10
26.3%
ValueCountFrequency (%)
3020 1
2.6%
3028 1
2.6%
3054 1
2.6%
3074 1
2.6%
3076 1
2.6%
3082 1
2.6%
3084 1
2.6%
3085 1
2.6%
3086 1
2.6%
3108 1
2.6%
ValueCountFrequency (%)
3194 1
2.6%
3191 1
2.6%
3186 1
2.6%
3175 1
2.6%
3173 1
2.6%
3159 2
5.3%
3157 1
2.6%
3155 1
2.6%
3154 1
2.6%
3140 1
2.6%

사업장명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-04-06T19:51:59.626441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length8.3157895
Min length4

Characters and Unicode

Total characters316
Distinct characters131
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

Unique38 ?
Unique (%)100.0%

Sample

1st row(주)미디어플러스
2nd row문화집단 OM
3rd row(주)디엔에이엔터테인먼트
4th row문화집단OM
5th row(주)와이비엠교육
ValueCountFrequency (%)
주식회사 4
 
7.5%
프로덕션 3
 
5.7%
고금 2
 
3.8%
주)미디어플러스 1
 
1.9%
토코리아엠앤이 1
 
1.9%
주)메이드림 1
 
1.9%
주)밀크엔터테인먼트 1
 
1.9%
고려서원 1
 
1.9%
제이뮤직앤미디어 1
 
1.9%
사단법인 1
 
1.9%
Other values (37) 37
69.8%
2024-04-06T19:52:00.220040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 16
 
5.1%
주 15
 
4.7%
15
 
4.7%
( 13
 
4.1%
) 13
 
4.1%
엔 7
 
2.2%
트 7
 
2.2%
스 7
 
2.2%
인 7
 
2.2%
엠 6
 
1.9%
Other values (121) 210
66.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 261
82.6%
Space Separator 15
 
4.7%
Open Punctuation 13
 
4.1%
Close Punctuation 13
 
4.1%
Uppercase Letter 12
 
3.8%
Other Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 16
 
6.1%
주 15
 
5.7%
엔 7
 
2.7%
트 7
 
2.7%
스 7
 
2.7%
인 7
 
2.7%
엠 6
 
2.3%
사 5
 
1.9%
먼 5
 
1.9%
테 5
 
1.9%
Other values (107) 181
69.3%
Uppercase Letter
ValueCountFrequency (%)
M 3
25.0%
O 2
16.7%
P 1
 
8.3%
D 1
 
8.3%
E 1
 
8.3%
N 1
 
8.3%
I 1
 
8.3%
A 1
 
8.3%
Z 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 261
82.6%
Common 43
 
13.6%
Latin 12
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 16
 
6.1%
주 15
 
5.7%
엔 7
 
2.7%
트 7
 
2.7%
스 7
 
2.7%
인 7
 
2.7%
엠 6
 
2.3%
사 5
 
1.9%
먼 5
 
1.9%
테 5
 
1.9%
Other values (107) 181
69.3%
Latin
ValueCountFrequency (%)
M 3
25.0%
O 2
16.7%
P 1
 
8.3%
D 1
 
8.3%
E 1
 
8.3%
N 1
 
8.3%
I 1
 
8.3%
A 1
 
8.3%
Z 1
 
8.3%
Common
ValueCountFrequency (%)
15
34.9%
( 13
30.2%
) 13
30.2%
. 1
 
2.3%
& 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 261
82.6%
ASCII 55
 
17.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 16
 
6.1%
주 15
 
5.7%
엔 7
 
2.7%
트 7
 
2.7%
스 7
 
2.7%
인 7
 
2.7%
엠 6
 
2.3%
사 5
 
1.9%
먼 5
 
1.9%
테 5
 
1.9%
Other values (107) 181
69.3%
ASCII
ValueCountFrequency (%)
15
27.3%
( 13
23.6%
) 13
23.6%
M 3
 
5.5%
O 2
 
3.6%
P 1
 
1.8%
. 1
 
1.8%
D 1
 
1.8%
& 1
 
1.8%
E 1
 
1.8%
Other values (4) 4
 
7.3%

최종수정일자
Date

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
Minimum2006-04-20 17:23:12
Maximum2023-07-31 17:42:53
2024-04-06T19:52:00.440482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:52:00.712890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

데이터갱신구분
Categorical

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
I
30 
U
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 30
78.9%
U 8
 
21.1%

Length

2024-04-06T19:52:00.966257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:52:01.159536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 30
78.9%
u 8
 
21.1%

데이터갱신일자
Date

Distinct15
Distinct (%)39.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-08 00:02:00
2024-04-06T19:52:01.335845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:52:01.526552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)97.3%
Missing1
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean198900.78
Minimum196742.45
Maximum201529.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-06T19:52:01.759090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196742.45
5-th percentile196840.99
Q1197993.9
median198934.12
Q3199989.32
95-th percentile201382.01
Maximum201529.83
Range4787.3861
Interquartile range (IQR)1995.4162

Descriptive statistics

Standard deviation1329.7887
Coefficient of variation (CV)0.0066856889
Kurtosis-0.70699188
Mean198900.78
Median Absolute Deviation (MAD)1055.196
Skewness0.24460767
Sum7359328.8
Variance1768338
MonotonicityNot monotonic
2024-04-06T19:52:02.074522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
198286.311784052 2
 
5.3%
196980.50632047 1
 
2.6%
198068.926781947 1
 
2.6%
199035.365798345 1
 
2.6%
196806.591702071 1
 
2.6%
199989.320877126 1
 
2.6%
200310.029513629 1
 
2.6%
198214.893650084 1
 
2.6%
199509.962000656 1
 
2.6%
197836.22031212 1
 
2.6%
Other values (26) 26
68.4%
ValueCountFrequency (%)
196742.446187705 1
2.6%
196806.591702071 1
2.6%
196849.592171556 1
2.6%
196980.50632047 1
2.6%
197478.53747014 1
2.6%
197484.983910622 1
2.6%
197533.453493651 1
2.6%
197573.030749573 1
2.6%
197836.22031212 1
2.6%
197993.904628438 1
2.6%
ValueCountFrequency (%)
201529.832259403 1
2.6%
201486.29634802 1
2.6%
201355.941326245 1
2.6%
200351.404199122 1
2.6%
200342.282272788 1
2.6%
200321.72035754 1
2.6%
200310.029513629 1
2.6%
200259.465338363 1
2.6%
200066.062015385 1
2.6%
199989.320877126 1
2.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)97.3%
Missing1
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean452567.23
Minimum451888.56
Maximum454767.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-06T19:52:02.286918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451888.56
5-th percentile451955.43
Q1452091.98
median452304.72
Q3452946.87
95-th percentile453633.1
Maximum454767.08
Range2878.5221
Interquartile range (IQR)854.88214

Descriptive statistics

Standard deviation640.14731
Coefficient of variation (CV)0.00141448
Kurtosis2.6435803
Mean452567.23
Median Absolute Deviation (MAD)240.57168
Skewness1.5823065
Sum16744987
Variance409788.58
MonotonicityNot monotonic
2024-04-06T19:52:02.496812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
452091.444332546 2
 
5.3%
452468.722637167 1
 
2.6%
452087.030190231 1
 
2.6%
452223.87544057 1
 
2.6%
452351.136678437 1
 
2.6%
453889.715382355 1
 
2.6%
453458.153615655 1
 
2.6%
453365.084732136 1
 
2.6%
451888.555001545 1
 
2.6%
451932.36673738 1
 
2.6%
Other values (26) 26
68.4%
ValueCountFrequency (%)
451888.555001545 1
2.6%
451932.36673738 1
2.6%
451961.195542884 1
2.6%
452019.212642931 1
2.6%
452032.958591394 1
2.6%
452064.152601178 1
2.6%
452087.030190231 1
2.6%
452091.444332546 2
5.3%
452091.983666703 1
2.6%
452162.304535024 1
2.6%
ValueCountFrequency (%)
454767.077088295 1
2.6%
453889.715382355 1
2.6%
453568.952374604 1
2.6%
453458.153615655 1
2.6%
453365.084732136 1
2.6%
453301.356534493 1
2.6%
453287.092062212 1
2.6%
452995.498884123 1
2.6%
452994.866523452 1
2.6%
452946.865802285 1
2.6%

문화체육업종명
Categorical

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
음반.음악영상물배급업
31 
<NA>
7 

Length

Max length11
Median length11
Mean length9.7105263
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row음반.음악영상물배급업
2nd row음반.음악영상물배급업
3rd row음반.음악영상물배급업
4th row음반.음악영상물배급업
5th row음반.음악영상물배급업

Common Values

ValueCountFrequency (%)
음반.음악영상물배급업 31
81.6%
<NA> 7
 
18.4%

Length

2024-04-06T19:52:02.722114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:52:02.929523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물배급업 31
81.6%
na 7
 
18.4%

문화사업자구분명
Categorical

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
유통관련업
31 
<NA>
7 

Length

Max length5
Median length5
Mean length4.8157895
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 31
81.6%
<NA> 7
 
18.4%

Length

2024-04-06T19:52:03.152675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:52:03.327252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 31
81.6%
na 7
 
18.4%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
37 
9
 
1

Length

Max length4
Median length4
Mean length3.9210526
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
97.4%
9 1
 
2.6%

Length

2024-04-06T19:52:03.529902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:52:03.698097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
97.4%
9 1
 
2.6%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

제작취급품목내용
Text

MISSING 

Distinct14
Distinct (%)63.6%
Missing16
Missing (%)42.1%
Memory size436.0 B
2024-04-06T19:52:03.914433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length23
Mean length8.7272727
Min length2

Characters and Unicode

Total characters192
Distinct characters51
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

Unique12 ?
Unique (%)54.5%

Sample

1st row음반
2nd row음반
3rd row음반
4th row음반
5th row비디오영상물,광고물,방송프로그램
ValueCountFrequency (%)
음반 13
33.3%
음악영상물 5
 
12.8%
유통 2
 
5.1%
음원 2
 
5.1%
cd 1
 
2.6%
해외 1
 
2.6%
기획 1
 
2.6%
usb 1
 
2.6%
음악 1
 
2.6%
음반.음악영상물 1
 
2.6%
Other values (11) 11
28.2%
2024-04-06T19:52:04.521565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
음 31
16.1%
, 23
12.0%
17
 
8.9%
반 17
 
8.9%
영 13
 
6.8%
상 12
 
6.2%
악 10
 
5.2%
물 9
 
4.7%
D 4
 
2.1%
원 3
 
1.6%
Other values (41) 53
27.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 139
72.4%
Other Punctuation 24
 
12.5%
Space Separator 17
 
8.9%
Uppercase Letter 10
 
5.2%
Open Punctuation 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 31
22.3%
반 17
12.2%
영 13
 
9.4%
상 12
 
8.6%
악 10
 
7.2%
물 9
 
6.5%
원 3
 
2.2%
디 3
 
2.2%
유 2
 
1.4%
급 2
 
1.4%
Other values (30) 37
26.6%
Uppercase Letter
ValueCountFrequency (%)
D 4
40.0%
C 2
20.0%
U 1
 
10.0%
S 1
 
10.0%
B 1
 
10.0%
V 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 23
95.8%
. 1
 
4.2%
Space Separator
ValueCountFrequency (%)
17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 139
72.4%
Common 43
 
22.4%
Latin 10
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 31
22.3%
반 17
12.2%
영 13
 
9.4%
상 12
 
8.6%
악 10
 
7.2%
물 9
 
6.5%
원 3
 
2.2%
디 3
 
2.2%
유 2
 
1.4%
급 2
 
1.4%
Other values (30) 37
26.6%
Latin
ValueCountFrequency (%)
D 4
40.0%
C 2
20.0%
U 1
 
10.0%
S 1
 
10.0%
B 1
 
10.0%
V 1
 
10.0%
Common
ValueCountFrequency (%)
, 23
53.5%
17
39.5%
. 1
 
2.3%
( 1
 
2.3%
) 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 139
72.4%
ASCII 53
 
27.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
음 31
22.3%
반 17
12.2%
영 13
 
9.4%
상 12
 
8.6%
악 10
 
7.2%
물 9
 
6.5%
원 3
 
2.2%
디 3
 
2.2%
유 2
 
1.4%
급 2
 
1.4%
Other values (30) 37
26.6%
ASCII
ValueCountFrequency (%)
, 23
43.4%
17
32.1%
D 4
 
7.5%
C 2
 
3.8%
U 1
 
1.9%
. 1
 
1.9%
S 1
 
1.9%
B 1
 
1.9%
( 1
 
1.9%
V 1
 
1.9%

시설면적
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing31
Missing (%)81.6%
Infinite0
Infinite (%)0.0%
Mean78.227143
Minimum50
Maximum103.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-06T19:52:04.763580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile55.577
Q169.01
median71.4
Q392.095
95-th percentile102.786
Maximum103.98
Range53.98
Interquartile range (IQR)23.085

Descriptive statistics

Standard deviation19.089562
Coefficient of variation (CV)0.24402735
Kurtosis-0.77017147
Mean78.227143
Median Absolute Deviation (MAD)12.79
Skewness0.1082899
Sum547.59
Variance364.41139
MonotonicityNot monotonic
2024-04-06T19:52:04.964302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
50.0 1
 
2.6%
69.43 1
 
2.6%
84.19 1
 
2.6%
71.4 1
 
2.6%
68.59 1
 
2.6%
100.0 1
 
2.6%
103.98 1
 
2.6%
(Missing) 31
81.6%
ValueCountFrequency (%)
50.0 1
2.6%
68.59 1
2.6%
69.43 1
2.6%
71.4 1
2.6%
84.19 1
2.6%
100.0 1
2.6%
103.98 1
2.6%
ValueCountFrequency (%)
103.98 1
2.6%
100.0 1
2.6%
84.19 1
2.6%
71.4 1
2.6%
69.43 1
2.6%
68.59 1
2.6%
50.0 1
2.6%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
37 
4
 
1

Length

Max length4
Median length4
Mean length3.9210526
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
97.4%
4 1
 
2.6%

Length

2024-04-06T19:52:05.612159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:52:05.860060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
97.4%
4 1
 
2.6%

지하층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
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43000000CDFF324110200300000120030310<NA>1영업/정상13영업중<NA><NA><NA><NA>2260-4424<NA><NA>서울특별시 종로구 인의동 **-* 인의빌딩*층서울특별시 종로구 창경궁로 ***-* (인의동)3130(주)와이비엠교육2021-01-08 09:06:16U2021-01-10 02:40:00.0<NA>199761.062397452253.741854음반.음악영상물배급업유통관련업<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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63000000CDFF324110200600000220060420<NA>3폐업3폐업20130305<NA><NA><NA>3672-2696<NA>110855서울특별시 종로구 창신동 ***번지 동대문맨숀 ***호<NA><NA>에이스뮤직엔터테인먼트2013-03-08 17:50:33I2018-08-31 23:59:59.0<NA><NA><NA>음반.음악영상물배급업유통관련업<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>
73000000CDFF324110200700000120070206<NA>1영업/정상13영업중<NA><NA><NA><NA>725-6697<NA>110052서울특별시 종로구 적선동 ***-*번지 *층서울특별시 종로구 사직로 *** (적선동,*층)<NA>삼영D.P2007-02-06 09:19:41I2018-08-31 23:59:59.0<NA>197533.453494452652.181691음반.음악영상물배급업유통관련업<NA><NA>음반<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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개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
283000000CDFF324110201900000120190409<NA>5제외/삭제/전출15전출20221216<NA><NA><NA>02-2158-8018<NA><NA>서울특별시 종로구 청진동 70 그랑서울서울특별시 종로구 종로 33, 그랑서울 타워1동 7층 (청진동)3159(주)프로덕션 고금2022-12-16 09:55:51U2021-11-01 23:08:00.0<NA>198286.311784452091.444333<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>
293000000CDFF324110202000000120201116<NA>3폐업3폐업20211231<NA><NA><NA><NA><NA><NA>서울특별시 종로구 장사동 ***-* 세운상가서울특별시 종로구 청계천로 ***, 세운상가 가동 ***호 (장사동)3194주식회사 토코리아엠앤이2022-01-06 18:14:11U2022-01-08 02:40:00.0<NA>199509.962001451888.555002음반.음악영상물배급업유통관련업<NA><NA>해외 뮤직비디오<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>
303000000CDFF324110202100000120210118<NA>1영업/정상13영업중<NA><NA><NA><NA>0263324036<NA><NA>서울특별시 종로구 세종로 *** 광화문빌딩서울특별시 종로구 세종대로 ***, 광화문빌딩 **층 ****호 (세종로)3186지안솔루션 주식회사2021-01-18 18:23:15I2021-01-20 00:23:04.0<NA>197836.220312451932.366737음반.음악영상물배급업유통관련업<NA><NA>미디어콘텐츠, 음반.음악영상물<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>
313000000CDFF324110202100000220210422<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 낙원동 ***서울특별시 종로구 수표로 ***-*, *층 (낙원동)3140올스타기획2021-04-22 09:01:15I2021-04-24 00:22:57.0<NA>198978.477658452064.152601음반.음악영상물배급업유통관련업<NA><NA>음악, 음원, 음반, USB, 음악영상물, 기획, 제작(배급), 유통<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>
323000000CDFF324110202100000320150807<NA>3폐업3폐업20220719<NA><NA><NA>070-8860-7080<NA><NA>서울특별시 종로구 숭인동 **-**서울특별시 종로구 지봉로**길 ** (숭인동)3108아트 꼴라쥬 장2022-07-19 17:19:08U2021-12-06 22:01:00.0<NA>201355.941326452994.866523<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>
333000000CDFF324110202200000120220707<NA>5제외/삭제/전출15전출20221018<NA><NA><NA><NA><NA><NA>서울특별시 종로구 충신동 ***-* 충신빌딩서울특별시 종로구 종로**길 **, 충신빌딩 *층 ***호 (충신동)3125블랙제이스2022-10-18 10:47:34U2021-10-30 22:00:00.0<NA>200321.720358452328.663816<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>
343000000CDFF324110202200000220220713<NA>1영업/정상13영업중<NA><NA><NA><NA>070-5030-3815<NA><NA>서울특별시 종로구 당주동 ***-** 동원빌딩서울특별시 종로구 새문안로*길 **, 동원빌딩 *층 (당주동)3175웁시 주식회사2022-07-13 08:44:05I2021-12-06 23:05:00.0<NA>197484.983911452162.304535<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>
353000000CDFF32411020230000012023-05-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 종로*가 ** 르메이에르종로타운*서울특별시 종로구 종로 **, 르메이에르종로타운* 에이동 **층 ****호 (종로*가)3157주식회사 브릴리언트미디어2023-05-11 15:04:02I2022-12-04 23:03:00.0<NA>198150.300374452019.212643<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>
363000000CDFF32411020230000022012-11-29<NA>1영업/정상13영업중<NA><NA><NA><NA>025582004<NA><NA>서울특별시 종로구 명륜*가 ***-*서울특별시 종로구 창경궁로**길 **, 에바다빌딩 *층 (명륜*가)3074국악성가연구소2023-06-09 13:48:44I2022-12-05 23:01:00.0<NA>199825.907052453568.952375<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>
373000000CDFF32411020230000032000-07-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 종로*가 * 교보빌딩서울특별시 종로구 종로 *, 교보빌딩 (종로*가)3154(주)교보문고2023-07-31 17:42:53I2022-12-08 00:02:00.0<NA>197993.904628452032.958591<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>