Overview

Dataset statistics

Number of variables56
Number of observations1238
Missing cells37408
Missing cells (%)54.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory587.7 KiB
Average record size in memory486.1 B

Variable types

Categorical14
Text9
DateTime4
Unsupported22
Numeric7

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
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-17380/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (54.2%)Imbalance
영업상태명 is highly imbalanced (54.2%)Imbalance
상세영업상태코드 is highly imbalanced (54.2%)Imbalance
상세영업상태명 is highly imbalanced (54.2%)Imbalance
문화사업자구분명 is highly imbalanced (70.3%)Imbalance
지하층수 is highly imbalanced (74.5%)Imbalance
통로너비 is highly imbalanced (63.9%)Imbalance
조명시설조도 is highly imbalanced (63.9%)Imbalance
노래방실수 is highly imbalanced (63.9%)Imbalance
청소년실수 is highly imbalanced (63.9%)Imbalance
총게임기수 is highly imbalanced (63.9%)Imbalance
인허가취소일자 has 1238 (100.0%) missing valuesMissing
폐업일자 has 1063 (85.9%) missing valuesMissing
휴업시작일자 has 1238 (100.0%) missing valuesMissing
휴업종료일자 has 1238 (100.0%) missing valuesMissing
재개업일자 has 1238 (100.0%) missing valuesMissing
전화번호 has 739 (59.7%) missing valuesMissing
소재지면적 has 1238 (100.0%) missing valuesMissing
소재지우편번호 has 1183 (95.6%) missing valuesMissing
도로명우편번호 has 24 (1.9%) missing valuesMissing
업태구분명 has 1238 (100.0%) missing valuesMissing
총층수 has 1147 (92.6%) missing valuesMissing
주변환경명 has 1233 (99.6%) missing valuesMissing
제작취급품목내용 has 526 (42.5%) missing valuesMissing
시설면적 has 626 (50.6%) missing valuesMissing
지상층수 has 1144 (92.4%) missing valuesMissing
건물용도명 has 1233 (99.6%) missing valuesMissing
비상계단여부 has 1238 (100.0%) missing valuesMissing
비상구여부 has 1238 (100.0%) missing valuesMissing
자동환기여부 has 1238 (100.0%) missing valuesMissing
청소년실여부 has 1238 (100.0%) missing valuesMissing
특수조명여부 has 1238 (100.0%) missing valuesMissing
방음시설여부 has 1238 (100.0%) missing valuesMissing
비디오재생기명 has 1238 (100.0%) missing valuesMissing
조명시설유무 has 1238 (100.0%) missing valuesMissing
음향시설여부 has 1238 (100.0%) missing valuesMissing
편의시설여부 has 1238 (100.0%) missing valuesMissing
소방시설여부 has 1238 (100.0%) missing valuesMissing
기존게임업외업종명 has 1238 (100.0%) missing valuesMissing
제공게임물명 has 1238 (100.0%) missing valuesMissing
공연장형태구분명 has 1238 (100.0%) missing valuesMissing
품목명 has 1238 (100.0%) missing valuesMissing
최초등록시점 has 1238 (100.0%) missing valuesMissing
지역구분명 has 1232 (99.5%) missing valuesMissing
시설면적 is highly skewed (γ1 = 24.28380244)Skewed
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 85 (6.9%) zerosZeros
시설면적 has 21 (1.7%) zerosZeros
지상층수 has 85 (6.9%) zerosZeros

Reproduction

Analysis started2024-05-11 01:04:20.294379
Analysis finished2024-05-11 01:04:22.772931
Duration2.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
3130000
1238 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3130000
2nd row3130000
3rd row3130000
4th row3130000
5th row3130000

Common Values

ValueCountFrequency (%)
3130000 1238
100.0%

Length

2024-05-11T01:04:22.987302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:04:23.266467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 1238
100.0%

관리번호
Text

UNIQUE 

Distinct1238
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
2024-05-11T01:04:23.682866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters24760
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

Unique1238 ?
Unique (%)100.0%

Sample

1st rowCDFF1241071999000001
2nd rowCDFF1241071999000002
3rd rowCDFF1241072000000001
4th rowCDFF1241072000000002
5th rowCDFF1241072001000002
ValueCountFrequency (%)
cdff1241071999000001 1
 
0.1%
cdff1241072021000119 1
 
0.1%
cdff1241072021000126 1
 
0.1%
cdff1241072021000125 1
 
0.1%
cdff1241072021000124 1
 
0.1%
cdff1241072021000123 1
 
0.1%
cdff1241072021000122 1
 
0.1%
cdff1241072021000121 1
 
0.1%
cdff1241072021000111 1
 
0.1%
cdff1241072021000118 1
 
0.1%
Other values (1228) 1228
99.2%
2024-05-11T01:04:24.602652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7763
31.4%
1 3689
14.9%
2 3636
14.7%
F 2476
 
10.0%
4 1601
 
6.5%
7 1499
 
6.1%
C 1238
 
5.0%
D 1238
 
5.0%
3 471
 
1.9%
6 308
 
1.2%
Other values (3) 841
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19808
80.0%
Uppercase Letter 4952
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7763
39.2%
1 3689
18.6%
2 3636
18.4%
4 1601
 
8.1%
7 1499
 
7.6%
3 471
 
2.4%
6 308
 
1.6%
5 291
 
1.5%
9 279
 
1.4%
8 271
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
F 2476
50.0%
C 1238
25.0%
D 1238
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19808
80.0%
Latin 4952
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7763
39.2%
1 3689
18.6%
2 3636
18.4%
4 1601
 
8.1%
7 1499
 
7.6%
3 471
 
2.4%
6 308
 
1.6%
5 291
 
1.5%
9 279
 
1.4%
8 271
 
1.4%
Latin
ValueCountFrequency (%)
F 2476
50.0%
C 1238
25.0%
D 1238
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24760
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7763
31.4%
1 3689
14.9%
2 3636
14.7%
F 2476
 
10.0%
4 1601
 
6.5%
7 1499
 
6.1%
C 1238
 
5.0%
D 1238
 
5.0%
3 471
 
1.9%
6 308
 
1.2%
Other values (3) 841
 
3.4%

인허가일자
Date

Distinct994
Distinct (%)80.3%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
Minimum1999-03-03 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T01:04:25.010484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:04:25.467330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1238
Missing (%)100.0%
Memory size11.0 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
1
1063 
3
 
103
5
 
72

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 1063
85.9%
3 103
 
8.3%
5 72
 
5.8%

Length

2024-05-11T01:04:25.900857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:04:26.281466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1063
85.9%
3 103
 
8.3%
5 72
 
5.8%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
영업/정상
1063 
폐업
 
103
제외/삭제/전출
 
72

Length

Max length8
Median length5
Mean length4.9248788
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 1063
85.9%
폐업 103
 
8.3%
제외/삭제/전출 72
 
5.8%

Length

2024-05-11T01:04:26.638654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:04:26.929147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 1063
85.9%
폐업 103
 
8.3%
제외/삭제/전출 72
 
5.8%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
13
1063 
3
 
103
15
 
72

Length

Max length2
Median length2
Mean length1.9168013
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 1063
85.9%
3 103
 
8.3%
15 72
 
5.8%

Length

2024-05-11T01:04:27.146606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:04:27.355979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 1063
85.9%
3 103
 
8.3%
15 72
 
5.8%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
영업중
1063 
폐업
 
103
전출
 
72

Length

Max length3
Median length3
Mean length2.858643
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 1063
85.9%
폐업 103
 
8.3%
전출 72
 
5.8%

Length

2024-05-11T01:04:27.589045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:04:27.905637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 1063
85.9%
폐업 103
 
8.3%
전출 72
 
5.8%

폐업일자
Date

MISSING 

Distinct165
Distinct (%)94.3%
Missing1063
Missing (%)85.9%
Memory size9.8 KiB
Minimum2008-01-30 00:00:00
Maximum2024-03-26 00:00:00
2024-05-11T01:04:28.262034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:04:28.734010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1238
Missing (%)100.0%
Memory size11.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1238
Missing (%)100.0%
Memory size11.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1238
Missing (%)100.0%
Memory size11.0 KiB

전화번호
Text

MISSING 

Distinct491
Distinct (%)98.4%
Missing739
Missing (%)59.7%
Memory size9.8 KiB
2024-05-11T01:04:29.386011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.008016
Min length8

Characters and Unicode

Total characters5493
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique483 ?
Unique (%)96.8%

Sample

1st row02-3143-2745
2nd row703-4011
3rd row02-333-3026
4th row2078-8072
5th row338-1753
ValueCountFrequency (%)
02-720-0826 2
 
0.4%
070-5145-2712 2
 
0.4%
02-725-7111 2
 
0.4%
02-718-5425 2
 
0.4%
02-730-8337 2
 
0.4%
02-702-7966 2
 
0.4%
02-1811-2470 2
 
0.4%
362-9351 2
 
0.4%
02-752-9688 1
 
0.2%
02-2038-0283 1
 
0.2%
Other values (481) 481
96.4%
2024-05-11T01:04:30.430252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 919
16.7%
- 894
16.3%
2 732
13.3%
3 582
10.6%
7 438
8.0%
1 393
7.2%
6 340
 
6.2%
5 331
 
6.0%
8 328
 
6.0%
4 310
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4599
83.7%
Dash Punctuation 894
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 919
20.0%
2 732
15.9%
3 582
12.7%
7 438
9.5%
1 393
8.5%
6 340
 
7.4%
5 331
 
7.2%
8 328
 
7.1%
4 310
 
6.7%
9 226
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 894
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5493
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 919
16.7%
- 894
16.3%
2 732
13.3%
3 582
10.6%
7 438
8.0%
1 393
7.2%
6 340
 
6.2%
5 331
 
6.0%
8 328
 
6.0%
4 310
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5493
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 919
16.7%
- 894
16.3%
2 732
13.3%
3 582
10.6%
7 438
8.0%
1 393
7.2%
6 340
 
6.2%
5 331
 
6.0%
8 328
 
6.0%
4 310
 
5.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1238
Missing (%)100.0%
Memory size11.0 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)70.9%
Missing1183
Missing (%)95.6%
Infinite0
Infinite (%)0.0%
Mean121611
Minimum100836
Maximum136055
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.0 KiB
2024-05-11T01:04:30.961386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100836
5-th percentile121137
Q1121787
median121819
Q3121866
95-th percentile121893.3
Maximum136055
Range35219
Interquartile range (IQR)79

Descriptive statistics

Standard deviation3454.3189
Coefficient of variation (CV)0.028404658
Kurtosis30.229128
Mean121611
Median Absolute Deviation (MAD)40
Skewness-2.7757371
Sum6688605
Variance11932319
MonotonicityNot monotonic
2024-05-11T01:04:31.631976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
121805 3
 
0.2%
121840 3
 
0.2%
121779 2
 
0.2%
121800 2
 
0.2%
121869 2
 
0.2%
121828 2
 
0.2%
121848 2
 
0.2%
121816 2
 
0.2%
121819 2
 
0.2%
121837 2
 
0.2%
Other values (29) 33
 
2.7%
(Missing) 1183
95.6%
ValueCountFrequency (%)
100836 1
0.1%
120836 1
0.1%
121130 1
0.1%
121140 2
0.2%
121210 1
0.1%
121250 2
0.2%
121270 1
0.1%
121703 1
0.1%
121720 1
0.1%
121766 1
0.1%
ValueCountFrequency (%)
136055 1
0.1%
121897 1
0.1%
121894 1
0.1%
121893 2
0.2%
121886 1
0.1%
121883 1
0.1%
121882 1
0.1%
121880 1
0.1%
121876 1
0.1%
121874 1
0.1%

지번주소
Text

Distinct677
Distinct (%)54.7%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
2024-05-11T01:04:32.570473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length40
Mean length25.153473
Min length17

Characters and Unicode

Total characters31140
Distinct characters353
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique527 ?
Unique (%)42.6%

Sample

1st row서울특별시 마포구 합정동 ***-**번지
2nd row서울특별시 마포구 도화동 ***번지 한화오벨리스크 아동 ****호
3rd row서울특별시 마포구 동교동 ***-*번지 영준빌딩 본관 ***호
4th row서울특별시 마포구 합정동 ***-**번지
5th row서울특별시 마포구 도화동 ***번지 데시앙한빛빌딩 *,*층
ValueCountFrequency (%)
서울특별시 1238
20.7%
마포구 1235
20.6%
735
12.3%
번지 490
 
8.2%
서교동 272
 
4.5%
상암동 237
 
4.0%
성산동 146
 
2.4%
호 121
 
2.0%
층 120
 
2.0%
합정동 109
 
1.8%
Other values (491) 1291
21.5%
2024-05-11T01:04:34.150632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 5810
18.7%
5390
17.3%
서 1543
 
5.0%
동 1369
 
4.4%
마 1288
 
4.1%
포 1277
 
4.1%
시 1260
 
4.0%
구 1256
 
4.0%
울 1248
 
4.0%
별 1240
 
4.0%
Other values (343) 9459
30.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18230
58.5%
Other Punctuation 5828
 
18.7%
Space Separator 5390
 
17.3%
Dash Punctuation 954
 
3.1%
Uppercase Letter 541
 
1.7%
Lowercase Letter 104
 
0.3%
Decimal Number 74
 
0.2%
Close Punctuation 8
 
< 0.1%
Open Punctuation 8
 
< 0.1%
Letter Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1543
 
8.5%
동 1369
 
7.5%
마 1288
 
7.1%
포 1277
 
7.0%
시 1260
 
6.9%
구 1256
 
6.9%
울 1248
 
6.8%
별 1240
 
6.8%
특 1239
 
6.8%
지 570
 
3.1%
Other values (281) 5940
32.6%
Uppercase Letter
ValueCountFrequency (%)
C 103
19.0%
M 86
15.9%
D 74
13.7%
E 42
7.8%
T 30
 
5.5%
S 28
 
5.2%
L 22
 
4.1%
R 19
 
3.5%
B 18
 
3.3%
P 17
 
3.1%
Other values (14) 102
18.9%
Lowercase Letter
ValueCountFrequency (%)
i 17
16.3%
t 12
11.5%
u 11
10.6%
e 8
7.7%
y 8
7.7%
n 7
 
6.7%
r 6
 
5.8%
c 6
 
5.8%
l 6
 
5.8%
s 5
 
4.8%
Other values (8) 18
17.3%
Decimal Number
ValueCountFrequency (%)
3 14
18.9%
2 11
14.9%
1 10
13.5%
4 9
12.2%
5 8
10.8%
8 8
10.8%
6 7
9.5%
7 3
 
4.1%
9 2
 
2.7%
0 2
 
2.7%
Other Punctuation
ValueCountFrequency (%)
* 5810
99.7%
, 12
 
0.2%
. 4
 
0.1%
@ 1
 
< 0.1%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
5390
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 954
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18230
58.5%
Common 12262
39.4%
Latin 648
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1543
 
8.5%
동 1369
 
7.5%
마 1288
 
7.1%
포 1277
 
7.0%
시 1260
 
6.9%
구 1256
 
6.9%
울 1248
 
6.8%
별 1240
 
6.8%
특 1239
 
6.8%
지 570
 
3.1%
Other values (281) 5940
32.6%
Latin
ValueCountFrequency (%)
C 103
15.9%
M 86
13.3%
D 74
 
11.4%
E 42
 
6.5%
T 30
 
4.6%
S 28
 
4.3%
L 22
 
3.4%
R 19
 
2.9%
B 18
 
2.8%
i 17
 
2.6%
Other values (33) 209
32.3%
Common
ValueCountFrequency (%)
* 5810
47.4%
5390
44.0%
- 954
 
7.8%
3 14
 
0.1%
, 12
 
0.1%
2 11
 
0.1%
1 10
 
0.1%
4 9
 
0.1%
) 8
 
0.1%
5 8
 
0.1%
Other values (9) 36
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18230
58.5%
ASCII 12907
41.4%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 5810
45.0%
5390
41.8%
- 954
 
7.4%
C 103
 
0.8%
M 86
 
0.7%
D 74
 
0.6%
E 42
 
0.3%
T 30
 
0.2%
S 28
 
0.2%
L 22
 
0.2%
Other values (51) 368
 
2.9%
Hangul
ValueCountFrequency (%)
서 1543
 
8.5%
동 1369
 
7.5%
마 1288
 
7.1%
포 1277
 
7.0%
시 1260
 
6.9%
구 1256
 
6.9%
울 1248
 
6.8%
별 1240
 
6.8%
특 1239
 
6.8%
지 570
 
3.1%
Other values (281) 5940
32.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
100.0%

도로명주소
Text

Distinct994
Distinct (%)80.8%
Missing8
Missing (%)0.6%
Memory size9.8 KiB
2024-05-11T01:04:34.883317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length49
Mean length34.810569
Min length22

Characters and Unicode

Total characters42817
Distinct characters382
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique854 ?
Unique (%)69.4%

Sample

1st row서울특별시 마포구 독막로*길 * (합정동)
2nd row서울특별시 마포구 마포대로 ** (도화동, 한화오벨리스크 아-****호)
3rd row서울특별시 마포구 월드컵북로 **, ***호 (동교동,영준빌딩 본관)
4th row서울특별시 마포구 성지길 ** (합정동)
5th row서울특별시 마포구 독막로 *** (도화동,데시앙한빛빌딩 *,*층)
ValueCountFrequency (%)
서울특별시 1230
14.8%
마포구 1227
14.7%
1226
14.7%
층 679
 
8.1%
호 498
 
6.0%
서교동 252
 
3.0%
상암동 229
 
2.7%
성산동 137
 
1.6%
월드컵북로 133
 
1.6%
합정동 100
 
1.2%
Other values (761) 2627
31.5%
2024-05-11T01:04:36.141728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7201
 
16.8%
* 6543
 
15.3%
서 1554
 
3.6%
동 1517
 
3.5%
, 1410
 
3.3%
마 1372
 
3.2%
포 1353
 
3.2%
울 1270
 
3.0%
구 1260
 
2.9%
시 1255
 
2.9%
Other values (372) 18082
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24153
56.4%
Other Punctuation 7960
 
18.6%
Space Separator 7201
 
16.8%
Close Punctuation 1240
 
2.9%
Open Punctuation 1240
 
2.9%
Uppercase Letter 599
 
1.4%
Dash Punctuation 222
 
0.5%
Lowercase Letter 101
 
0.2%
Decimal Number 90
 
0.2%
Math Symbol 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1554
 
6.4%
동 1517
 
6.3%
마 1372
 
5.7%
포 1353
 
5.6%
울 1270
 
5.3%
구 1260
 
5.2%
시 1255
 
5.2%
별 1232
 
5.1%
특 1231
 
5.1%
로 1201
 
5.0%
Other values (308) 10908
45.2%
Uppercase Letter
ValueCountFrequency (%)
C 111
18.5%
M 90
15.0%
D 78
13.0%
E 41
 
6.8%
B 40
 
6.7%
S 33
 
5.5%
T 31
 
5.2%
A 25
 
4.2%
L 22
 
3.7%
R 19
 
3.2%
Other values (15) 109
18.2%
Lowercase Letter
ValueCountFrequency (%)
i 16
15.8%
u 11
10.9%
t 11
10.9%
e 8
7.9%
n 7
 
6.9%
y 7
 
6.9%
r 6
 
5.9%
l 6
 
5.9%
s 5
 
5.0%
g 5
 
5.0%
Other values (8) 19
18.8%
Decimal Number
ValueCountFrequency (%)
1 22
24.4%
2 18
20.0%
5 9
10.0%
0 9
10.0%
8 8
 
8.9%
3 6
 
6.7%
7 6
 
6.7%
4 6
 
6.7%
9 4
 
4.4%
6 2
 
2.2%
Other Punctuation
ValueCountFrequency (%)
* 6543
82.2%
, 1410
 
17.7%
. 4
 
0.1%
& 2
 
< 0.1%
@ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
7201
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1240
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1240
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 222
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24153
56.4%
Common 17960
41.9%
Latin 704
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1554
 
6.4%
동 1517
 
6.3%
마 1372
 
5.7%
포 1353
 
5.6%
울 1270
 
5.3%
구 1260
 
5.2%
시 1255
 
5.2%
별 1232
 
5.1%
특 1231
 
5.1%
로 1201
 
5.0%
Other values (308) 10908
45.2%
Latin
ValueCountFrequency (%)
C 111
15.8%
M 90
12.8%
D 78
 
11.1%
E 41
 
5.8%
B 40
 
5.7%
S 33
 
4.7%
T 31
 
4.4%
A 25
 
3.6%
L 22
 
3.1%
R 19
 
2.7%
Other values (34) 214
30.4%
Common
ValueCountFrequency (%)
7201
40.1%
* 6543
36.4%
, 1410
 
7.9%
) 1240
 
6.9%
( 1240
 
6.9%
- 222
 
1.2%
1 22
 
0.1%
2 18
 
0.1%
5 9
 
0.1%
0 9
 
0.1%
Other values (10) 46
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24153
56.4%
ASCII 18660
43.6%
Number Forms 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7201
38.6%
* 6543
35.1%
, 1410
 
7.6%
) 1240
 
6.6%
( 1240
 
6.6%
- 222
 
1.2%
C 111
 
0.6%
M 90
 
0.5%
D 78
 
0.4%
E 41
 
0.2%
Other values (53) 484
 
2.6%
Hangul
ValueCountFrequency (%)
서 1554
 
6.4%
동 1517
 
6.3%
마 1372
 
5.7%
포 1353
 
5.6%
울 1270
 
5.3%
구 1260
 
5.2%
시 1255
 
5.2%
별 1232
 
5.1%
특 1231
 
5.1%
로 1201
 
5.0%
Other values (308) 10908
45.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct223
Distinct (%)18.4%
Missing24
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean5275.8699
Minimum2829
Maximum121904
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.0 KiB
2024-05-11T01:04:36.687497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2829
5-th percentile3909
Q13965
median4008.5
Q34059
95-th percentile4173
Maximum121904
Range119075
Interquartile range (IQR)94

Descriptive statistics

Standard deviation12119.342
Coefficient of variation (CV)2.2971267
Kurtosis88.758708
Mean5275.8699
Median Absolute Deviation (MAD)47.5
Skewness9.5188002
Sum6404906
Variance1.4687844 × 108
MonotonicityNot monotonic
2024-05-11T01:04:37.333794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3925 61
 
4.9%
3909 37
 
3.0%
3920 36
 
2.9%
4031 23
 
1.9%
3966 23
 
1.9%
3908 22
 
1.8%
4083 21
 
1.7%
3992 20
 
1.6%
3993 18
 
1.5%
4047 18
 
1.5%
Other values (213) 935
75.5%
(Missing) 24
 
1.9%
ValueCountFrequency (%)
2829 1
 
0.1%
3785 1
 
0.1%
3902 3
 
0.2%
3905 1
 
0.1%
3908 22
1.8%
3909 37
3.0%
3911 3
 
0.2%
3912 4
 
0.3%
3914 2
 
0.2%
3918 2
 
0.2%
ValueCountFrequency (%)
121904 1
0.1%
121884 1
0.1%
121883 1
0.1%
121875 1
0.1%
121847 1
0.1%
121843 1
0.1%
121842 1
0.1%
121840 1
0.1%
121829 1
0.1%
121779 1
0.1%

사업장명
Text

Distinct1231
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
2024-05-11T01:04:37.919063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length26
Mean length9.4151858
Min length1

Characters and Unicode

Total characters11656
Distinct characters602
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1224 ?
Unique (%)98.9%

Sample

1st row(주)에꼴 종합 대행사
2nd row(주)에이스미디어프로덕션
3rd row(주)마더텅
4th row(주)스타제국
5th row(주)한빛소프트
ValueCountFrequency (%)
주식회사 520
 
26.7%
주 14
 
0.7%
스튜디오 12
 
0.6%
미디어 10
 
0.5%
media 6
 
0.3%
엔터테인먼트 6
 
0.3%
프로덕션 6
 
0.3%
디자인 4
 
0.2%
pictures 4
 
0.2%
컴퍼니 4
 
0.2%
Other values (1333) 1364
69.9%
2024-05-11T01:04:39.151454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 855
 
7.3%
712
 
6.1%
사 560
 
4.8%
회 534
 
4.6%
식 528
 
4.5%
이 438
 
3.8%
) 421
 
3.6%
( 420
 
3.6%
스 373
 
3.2%
디 298
 
2.6%
Other values (592) 6517
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9346
80.2%
Space Separator 712
 
6.1%
Close Punctuation 421
 
3.6%
Open Punctuation 420
 
3.6%
Uppercase Letter 370
 
3.2%
Lowercase Letter 310
 
2.7%
Decimal Number 42
 
0.4%
Other Punctuation 28
 
0.2%
Connector Punctuation 3
 
< 0.1%
Dash Punctuation 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 855
 
9.1%
사 560
 
6.0%
회 534
 
5.7%
식 528
 
5.6%
이 438
 
4.7%
스 373
 
4.0%
디 298
 
3.2%
미 176
 
1.9%
어 173
 
1.9%
트 163
 
1.7%
Other values (523) 5248
56.2%
Uppercase Letter
ValueCountFrequency (%)
C 30
 
8.1%
T 29
 
7.8%
E 28
 
7.6%
A 27
 
7.3%
M 23
 
6.2%
I 22
 
5.9%
L 21
 
5.7%
N 21
 
5.7%
U 19
 
5.1%
R 18
 
4.9%
Other values (15) 132
35.7%
Lowercase Letter
ValueCountFrequency (%)
i 34
11.0%
e 31
 
10.0%
o 30
 
9.7%
t 23
 
7.4%
n 23
 
7.4%
a 22
 
7.1%
r 20
 
6.5%
s 17
 
5.5%
l 15
 
4.8%
d 13
 
4.2%
Other values (14) 82
26.5%
Decimal Number
ValueCountFrequency (%)
1 9
21.4%
9 6
14.3%
0 5
11.9%
8 4
9.5%
4 4
9.5%
3 4
9.5%
7 3
 
7.1%
2 3
 
7.1%
5 3
 
7.1%
6 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
. 19
67.9%
& 5
 
17.9%
, 4
 
14.3%
Space Separator
ValueCountFrequency (%)
712
100.0%
Close Punctuation
ValueCountFrequency (%)
) 421
100.0%
Open Punctuation
ValueCountFrequency (%)
( 420
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9347
80.2%
Common 1629
 
14.0%
Latin 680
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 855
 
9.1%
사 560
 
6.0%
회 534
 
5.7%
식 528
 
5.6%
이 438
 
4.7%
스 373
 
4.0%
디 298
 
3.2%
미 176
 
1.9%
어 173
 
1.9%
트 163
 
1.7%
Other values (524) 5249
56.2%
Latin
ValueCountFrequency (%)
i 34
 
5.0%
e 31
 
4.6%
o 30
 
4.4%
C 30
 
4.4%
T 29
 
4.3%
E 28
 
4.1%
A 27
 
4.0%
t 23
 
3.4%
M 23
 
3.4%
n 23
 
3.4%
Other values (39) 402
59.1%
Common
ValueCountFrequency (%)
712
43.7%
) 421
25.8%
( 420
25.8%
. 19
 
1.2%
1 9
 
0.6%
9 6
 
0.4%
0 5
 
0.3%
& 5
 
0.3%
8 4
 
0.2%
4 4
 
0.2%
Other values (9) 24
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9346
80.2%
ASCII 2309
 
19.8%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 855
 
9.1%
사 560
 
6.0%
회 534
 
5.7%
식 528
 
5.6%
이 438
 
4.7%
스 373
 
4.0%
디 298
 
3.2%
미 176
 
1.9%
어 173
 
1.9%
트 163
 
1.7%
Other values (523) 5248
56.2%
ASCII
ValueCountFrequency (%)
712
30.8%
) 421
18.2%
( 420
18.2%
i 34
 
1.5%
e 31
 
1.3%
o 30
 
1.3%
C 30
 
1.3%
T 29
 
1.3%
E 28
 
1.2%
A 27
 
1.2%
Other values (58) 547
23.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct1238
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
Minimum2006-02-09 21:00:06
Maximum2024-05-09 09:14:50
2024-05-11T01:04:39.602887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:04:40.189432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
I
861 
U
376 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
I 861
69.5%
U 376
30.4%
D 1
 
0.1%

Length

2024-05-11T01:04:40.644973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:04:41.007426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 861
69.5%
u 376
30.4%
d 1
 
0.1%

데이터갱신일자
Date

Distinct599
Distinct (%)48.4%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:03:00
2024-05-11T01:04:41.393873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:04:41.945653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1238
Missing (%)100.0%
Memory size11.0 KiB

좌표정보(X)
Real number (ℝ)

Distinct819
Distinct (%)66.5%
Missing7
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean192495.19
Minimum189392.98
Maximum202200.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.0 KiB
2024-05-11T01:04:42.454260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189392.98
5-th percentile190125.56
Q1191656.96
median192580.47
Q3193143.23
95-th percentile195407.82
Maximum202200.92
Range12807.948
Interquartile range (IQR)1486.274

Descriptive statistics

Standard deviation1553.1585
Coefficient of variation (CV)0.0080685575
Kurtosis1.6200594
Mean192495.19
Median Absolute Deviation (MAD)702.70154
Skewness0.4977309
Sum2.3696157 × 108
Variance2412301.3
MonotonicityNot monotonic
2024-05-11T01:04:43.005380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
189855.433985731 36
 
2.9%
190250.875091908 29
 
2.3%
190335.496775957 17
 
1.4%
190125.564768858 16
 
1.3%
190182.067334395 15
 
1.2%
190256.997348579 14
 
1.1%
190217.044298752 9
 
0.7%
194974.587674037 8
 
0.6%
190144.892942247 7
 
0.6%
195111.088138936 7
 
0.6%
Other values (809) 1073
86.7%
ValueCountFrequency (%)
189392.975995366 1
 
0.1%
189409.319972063 2
 
0.2%
189409.395005978 1
 
0.1%
189520.410979113 1
 
0.1%
189624.641758403 1
 
0.1%
189779.165991291 1
 
0.1%
189855.433985731 36
2.9%
189907.583184796 2
 
0.2%
189954.316212248 4
 
0.3%
189988.285119266 1
 
0.1%
ValueCountFrequency (%)
202200.924494567 1
0.1%
201344.940085256 1
0.1%
196520.36247607 1
0.1%
196472.360602667 1
0.1%
196330.456987967 1
0.1%
196199.745869634 1
0.1%
196171.596790836 1
0.1%
196089.306778496 2
0.2%
196049.809912218 1
0.1%
196043.165226453 1
0.1%

좌표정보(Y)
Real number (ℝ)

Distinct819
Distinct (%)66.5%
Missing7
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean450717.12
Minimum448229.06
Maximum454811.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.0 KiB
2024-05-11T01:04:43.516608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448229.06
5-th percentile448925.28
Q1449699.91
median450420.78
Q3451350.39
95-th percentile453203.35
Maximum454811.14
Range6582.0771
Interquartile range (IQR)1650.4899

Descriptive statistics

Standard deviation1351.2409
Coefficient of variation (CV)0.0029979799
Kurtosis-0.48073652
Mean450717.12
Median Absolute Deviation (MAD)798.02616
Skewness0.63532836
Sum5.5483278 × 108
Variance1825852
MonotonicityNot monotonic
2024-05-11T01:04:44.143088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
453614.583448105 36
 
2.9%
453017.867202928 29
 
2.3%
452758.642764785 17
 
1.4%
453090.149821248 16
 
1.3%
453141.676626027 15
 
1.2%
452647.977464275 14
 
1.1%
452599.632380465 9
 
0.7%
448229.063825491 8
 
0.6%
453302.04990022 7
 
0.6%
448644.311298762 7
 
0.6%
Other values (809) 1073
86.7%
ValueCountFrequency (%)
448229.063825491 8
0.6%
448276.965250949 1
 
0.1%
448288.891076098 1
 
0.1%
448318.358910522 1
 
0.1%
448372.301911412 1
 
0.1%
448407.752664604 3
 
0.2%
448411.703822551 1
 
0.1%
448446.705476357 1
 
0.1%
448460.50414883 1
 
0.1%
448487.374314355 3
 
0.2%
ValueCountFrequency (%)
454811.140934884 1
 
0.1%
453872.42578746 1
 
0.1%
453685.545865753 1
 
0.1%
453614.583448105 36
2.9%
453459.525588653 2
 
0.2%
453459.514085072 1
 
0.1%
453360.240306636 1
 
0.1%
453345.947683972 2
 
0.2%
453302.04990022 7
 
0.6%
453297.986643563 2
 
0.2%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
비디오물제작업
722 
<NA>
516 

Length

Max length7
Median length7
Mean length5.7495961
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물제작업 722
58.3%
<NA> 516
41.7%

Length

2024-05-11T01:04:44.991431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:04:45.456463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물제작업 722
58.3%
na 516
41.7%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
1173 
유통관련업
 
65

Length

Max length5
Median length4
Mean length4.052504
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1173
94.7%
유통관련업 65
 
5.3%

Length

2024-05-11T01:04:45.972258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:04:46.423888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1173
94.7%
유통관련업 65
 
5.3%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)6.6%
Missing1147
Missing (%)92.6%
Infinite0
Infinite (%)0.0%
Mean0.58241758
Minimum0
Maximum25
Zeros85
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size11.0 KiB
2024-05-11T01:04:46.817150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum25
Range25
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.9214378
Coefficient of variation (CV)5.0160535
Kurtosis55.925893
Mean0.58241758
Median Absolute Deviation (MAD)0
Skewness7.0454697
Sum53
Variance8.5347985
MonotonicityNot monotonic
2024-05-11T01:04:47.295382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 85
 
6.9%
4 2
 
0.2%
6 1
 
0.1%
5 1
 
0.1%
9 1
 
0.1%
25 1
 
0.1%
(Missing) 1147
92.6%
ValueCountFrequency (%)
0 85
6.9%
4 2
 
0.2%
5 1
 
0.1%
6 1
 
0.1%
9 1
 
0.1%
25 1
 
0.1%
ValueCountFrequency (%)
25 1
 
0.1%
9 1
 
0.1%
6 1
 
0.1%
5 1
 
0.1%
4 2
 
0.2%
0 85
6.9%

주변환경명
Text

MISSING 

Distinct3
Distinct (%)60.0%
Missing1233
Missing (%)99.6%
Memory size9.8 KiB
2024-05-11T01:04:47.686625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length3.2
Min length2

Characters and Unicode

Total characters16
Distinct characters11
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

Unique2 ?
Unique (%)40.0%

Sample

1st row아파트지역
2nd row주택가주변
3rd row기타
4th row기타
5th row기타
ValueCountFrequency (%)
기타 3
60.0%
아파트지역 1
 
20.0%
주택가주변 1
 
20.0%
2024-05-11T01:04:48.461647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 3
18.8%
타 3
18.8%
주 2
12.5%
아 1
 
6.2%
파 1
 
6.2%
트 1
 
6.2%
지 1
 
6.2%
역 1
 
6.2%
택 1
 
6.2%
가 1
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 3
18.8%
타 3
18.8%
주 2
12.5%
아 1
 
6.2%
파 1
 
6.2%
트 1
 
6.2%
지 1
 
6.2%
역 1
 
6.2%
택 1
 
6.2%
가 1
 
6.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 3
18.8%
타 3
18.8%
주 2
12.5%
아 1
 
6.2%
파 1
 
6.2%
트 1
 
6.2%
지 1
 
6.2%
역 1
 
6.2%
택 1
 
6.2%
가 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 3
18.8%
타 3
18.8%
주 2
12.5%
아 1
 
6.2%
파 1
 
6.2%
트 1
 
6.2%
지 1
 
6.2%
역 1
 
6.2%
택 1
 
6.2%
가 1
 
6.2%

제작취급품목내용
Text

MISSING 

Distinct379
Distinct (%)53.2%
Missing526
Missing (%)42.5%
Memory size9.8 KiB
2024-05-11T01:04:49.330692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length39
Mean length9.7247191
Min length2

Characters and Unicode

Total characters6924
Distinct characters241
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique346 ?
Unique (%)48.6%

Sample

1st row비디오물
2nd row대표자 개명 및 소재지 변경
3rd row비디오물
4th row비디오물
5th row비디오물
ValueCountFrequency (%)
비디오물 285
19.0%
제작 144
 
9.6%
및 67
 
4.5%
영상물 64
 
4.3%
영상 63
 
4.2%
광고 59
 
3.9%
홍보영상 46
 
3.1%
등 42
 
2.8%
동영상 30
 
2.0%
홍보 30
 
2.0%
Other values (322) 670
44.7%
2024-05-11T01:04:50.557911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
788
 
11.4%
영 485
 
7.0%
물 473
 
6.8%
상 437
 
6.3%
, 422
 
6.1%
디 412
 
6.0%
비 379
 
5.5%
오 377
 
5.4%
제 238
 
3.4%
작 236
 
3.4%
Other values (231) 2677
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5456
78.8%
Space Separator 788
 
11.4%
Other Punctuation 450
 
6.5%
Uppercase Letter 158
 
2.3%
Decimal Number 26
 
0.4%
Open Punctuation 17
 
0.2%
Close Punctuation 17
 
0.2%
Lowercase Letter 9
 
0.1%
Dash Punctuation 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 485
 
8.9%
물 473
 
8.7%
상 437
 
8.0%
디 412
 
7.6%
비 379
 
6.9%
오 377
 
6.9%
제 238
 
4.4%
작 236
 
4.3%
홍 185
 
3.4%
보 185
 
3.4%
Other values (191) 2049
37.6%
Uppercase Letter
ValueCountFrequency (%)
V 36
22.8%
D 35
22.2%
R 18
11.4%
C 15
9.5%
T 14
 
8.9%
F 12
 
7.6%
I 4
 
2.5%
A 4
 
2.5%
S 4
 
2.5%
X 3
 
1.9%
Other values (7) 13
 
8.2%
Lowercase Letter
ValueCountFrequency (%)
m 2
22.2%
l 2
22.2%
f 1
11.1%
c 1
11.1%
i 1
11.1%
h 1
11.1%
t 1
11.1%
Decimal Number
ValueCountFrequency (%)
3 12
46.2%
6 4
 
15.4%
2 4
 
15.4%
0 3
 
11.5%
4 2
 
7.7%
5 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 422
93.8%
/ 15
 
3.3%
? 7
 
1.6%
. 5
 
1.1%
& 1
 
0.2%
Space Separator
ValueCountFrequency (%)
788
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
> 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5456
78.8%
Common 1301
 
18.8%
Latin 167
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 485
 
8.9%
물 473
 
8.7%
상 437
 
8.0%
디 412
 
7.6%
비 379
 
6.9%
오 377
 
6.9%
제 238
 
4.4%
작 236
 
4.3%
홍 185
 
3.4%
보 185
 
3.4%
Other values (191) 2049
37.6%
Latin
ValueCountFrequency (%)
V 36
21.6%
D 35
21.0%
R 18
10.8%
C 15
9.0%
T 14
 
8.4%
F 12
 
7.2%
I 4
 
2.4%
A 4
 
2.4%
S 4
 
2.4%
X 3
 
1.8%
Other values (14) 22
13.2%
Common
ValueCountFrequency (%)
788
60.6%
, 422
32.4%
( 17
 
1.3%
) 17
 
1.3%
/ 15
 
1.2%
3 12
 
0.9%
? 7
 
0.5%
. 5
 
0.4%
6 4
 
0.3%
2 4
 
0.3%
Other values (6) 10
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5456
78.8%
ASCII 1468
 
21.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
788
53.7%
, 422
28.7%
V 36
 
2.5%
D 35
 
2.4%
R 18
 
1.2%
( 17
 
1.2%
) 17
 
1.2%
C 15
 
1.0%
/ 15
 
1.0%
T 14
 
1.0%
Other values (30) 91
 
6.2%
Hangul
ValueCountFrequency (%)
영 485
 
8.9%
물 473
 
8.7%
상 437
 
8.0%
디 412
 
7.6%
비 379
 
6.9%
오 377
 
6.9%
제 238
 
4.4%
작 236
 
4.3%
홍 185
 
3.4%
보 185
 
3.4%
Other values (191) 2049
37.6%

시설면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct495
Distinct (%)80.9%
Missing626
Missing (%)50.6%
Infinite0
Infinite (%)0.0%
Mean384.28338
Minimum0
Maximum120578.88
Zeros21
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size11.0 KiB
2024-05-11T01:04:51.249354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.928
Q142.0675
median89.29
Q3158.25
95-th percentile480.7895
Maximum120578.88
Range120578.88
Interquartile range (IQR)116.1825

Descriptive statistics

Standard deviation4897.5216
Coefficient of variation (CV)12.744557
Kurtosis596.59558
Mean384.28338
Median Absolute Deviation (MAD)52.75
Skewness24.283802
Sum235181.43
Variance23985718
MonotonicityNot monotonic
2024-05-11T01:04:51.873183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
1.7%
3.3 9
 
0.7%
1.0 8
 
0.6%
20.0 6
 
0.5%
66.0 6
 
0.5%
33.0 5
 
0.4%
50.0 4
 
0.3%
3.0 4
 
0.3%
60.0 4
 
0.3%
10.0 4
 
0.3%
Other values (485) 541
43.7%
(Missing) 626
50.6%
ValueCountFrequency (%)
0.0 21
1.7%
1.0 8
 
0.6%
2.8 1
 
0.1%
2.84 1
 
0.1%
3.0 4
 
0.3%
3.3 9
0.7%
4.0 1
 
0.1%
4.22 1
 
0.1%
5.0 1
 
0.1%
6.0 1
 
0.1%
ValueCountFrequency (%)
120578.88 1
0.1%
8154.14 1
0.1%
5938.21 1
0.1%
4699.69 1
0.1%
4134.0 1
0.1%
4088.86 1
0.1%
2674.0 1
0.1%
2355.2 1
0.1%
2148.42 1
0.1%
1880.85 1
0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)8.5%
Missing1144
Missing (%)92.4%
Infinite0
Infinite (%)0.0%
Mean0.41489362
Minimum0
Maximum8
Zeros85
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size11.0 KiB
2024-05-11T01:04:52.270245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.4324171
Coefficient of variation (CV)3.4524925
Kurtosis13.470673
Mean0.41489362
Median Absolute Deviation (MAD)0
Skewness3.6961301
Sum39
Variance2.0518188
MonotonicityNot monotonic
2024-05-11T01:04:52.702047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 85
 
6.9%
4 2
 
0.2%
6 2
 
0.2%
5 1
 
0.1%
8 1
 
0.1%
3 1
 
0.1%
1 1
 
0.1%
2 1
 
0.1%
(Missing) 1144
92.4%
ValueCountFrequency (%)
0 85
6.9%
1 1
 
0.1%
2 1
 
0.1%
3 1
 
0.1%
4 2
 
0.2%
5 1
 
0.1%
6 2
 
0.2%
8 1
 
0.1%
ValueCountFrequency (%)
8 1
 
0.1%
6 2
 
0.2%
5 1
 
0.1%
4 2
 
0.2%
3 1
 
0.1%
2 1
 
0.1%
1 1
 
0.1%
0 85
6.9%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
1147 
0
 
85
1
 
6

Length

Max length4
Median length4
Mean length3.779483
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> 1147
92.6%
0 85
 
6.9%
1 6
 
0.5%

Length

2024-05-11T01:04:53.184183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:04:53.527680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1147
92.6%
0 85
 
6.9%
1 6
 
0.5%

건물용도명
Text

MISSING 

Distinct3
Distinct (%)60.0%
Missing1233
Missing (%)99.6%
Memory size9.8 KiB
2024-05-11T01:04:53.830554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length4
Min length2

Characters and Unicode

Total characters20
Distinct characters11
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 (%)20.0%

Sample

1st row근린생활시설
2nd row근린생활시설
3rd row기타
4th row사무실
5th row사무실
ValueCountFrequency (%)
근린생활시설 2
40.0%
사무실 2
40.0%
기타 1
20.0%
2024-05-11T01:04:55.163896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 2
10.0%
린 2
10.0%
생 2
10.0%
활 2
10.0%
시 2
10.0%
설 2
10.0%
사 2
10.0%
무 2
10.0%
실 2
10.0%
기 1
5.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 2
10.0%
린 2
10.0%
생 2
10.0%
활 2
10.0%
시 2
10.0%
설 2
10.0%
사 2
10.0%
무 2
10.0%
실 2
10.0%
기 1
5.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 2
10.0%
린 2
10.0%
생 2
10.0%
활 2
10.0%
시 2
10.0%
설 2
10.0%
사 2
10.0%
무 2
10.0%
실 2
10.0%
기 1
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 2
10.0%
린 2
10.0%
생 2
10.0%
활 2
10.0%
시 2
10.0%
설 2
10.0%
사 2
10.0%
무 2
10.0%
실 2
10.0%
기 1
5.0%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
1153 
0
 
85

Length

Max length4
Median length4
Mean length3.7940226
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> 1153
93.1%
0 85
 
6.9%

Length

2024-05-11T01:04:55.690274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:04:56.086362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1153
93.1%
0 85
 
6.9%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
1153 
0
 
85

Length

Max length4
Median length4
Mean length3.7940226
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> 1153
93.1%
0 85
 
6.9%

Length

2024-05-11T01:04:56.559685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:04:57.104365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1153
93.1%
0 85
 
6.9%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
1153 
0
 
85

Length

Max length4
Median length4
Mean length3.7940226
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> 1153
93.1%
0 85
 
6.9%

Length

2024-05-11T01:04:57.496782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:04:57.837960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1153
93.1%
0 85
 
6.9%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
1153 
0
 
85

Length

Max length4
Median length4
Mean length3.7940226
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> 1153
93.1%
0 85
 
6.9%

Length

2024-05-11T01:04:58.390950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:04:58.801963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1153
93.1%
0 85
 
6.9%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1238
Missing (%)100.0%
Memory size11.0 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1238
Missing (%)100.0%
Memory size11.0 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1238
Missing (%)100.0%
Memory size11.0 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1238
Missing (%)100.0%
Memory size11.0 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1238
Missing (%)100.0%
Memory size11.0 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1238
Missing (%)100.0%
Memory size11.0 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1238
Missing (%)100.0%
Memory size11.0 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1238
Missing (%)100.0%
Memory size11.0 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1238
Missing (%)100.0%
Memory size11.0 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1238
Missing (%)100.0%
Memory size11.0 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1238
Missing (%)100.0%
Memory size11.0 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
<NA>
1153 
0
 
85

Length

Max length4
Median length4
Mean length3.7940226
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> 1153
93.1%
0 85
 
6.9%

Length

2024-05-11T01:04:59.181113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:04:59.738965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1153
93.1%
0 85
 
6.9%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1238
Missing (%)100.0%
Memory size11.0 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1238
Missing (%)100.0%
Memory size11.0 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1238
Missing (%)100.0%
Memory size11.0 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1238
Missing (%)100.0%
Memory size11.0 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1238
Missing (%)100.0%
Memory size11.0 KiB

지역구분명
Text

MISSING 

Distinct5
Distinct (%)83.3%
Missing1232
Missing (%)99.5%
Memory size9.8 KiB
2024-05-11T01:05:00.032860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5.5
Mean length5.1666667
Min length4

Characters and Unicode

Total characters31
Distinct characters11
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

Unique4 ?
Unique (%)66.7%

Sample

1st row일반주거지역
2nd row근린상업지역
3rd row주거지역
4th row준주거지역
5th row일반주거지역
ValueCountFrequency (%)
일반주거지역 2
33.3%
근린상업지역 1
16.7%
주거지역 1
16.7%
준주거지역 1
16.7%
상업지역 1
16.7%
2024-05-11T01:05:00.872297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 6
19.4%
역 6
19.4%
주 4
12.9%
거 4
12.9%
일 2
 
6.5%
반 2
 
6.5%
상 2
 
6.5%
업 2
 
6.5%
근 1
 
3.2%
린 1
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 6
19.4%
역 6
19.4%
주 4
12.9%
거 4
12.9%
일 2
 
6.5%
반 2
 
6.5%
상 2
 
6.5%
업 2
 
6.5%
근 1
 
3.2%
린 1
 
3.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 6
19.4%
역 6
19.4%
주 4
12.9%
거 4
12.9%
일 2
 
6.5%
반 2
 
6.5%
상 2
 
6.5%
업 2
 
6.5%
근 1
 
3.2%
린 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 6
19.4%
역 6
19.4%
주 4
12.9%
거 4
12.9%
일 2
 
6.5%
반 2
 
6.5%
상 2
 
6.5%
업 2
 
6.5%
근 1
 
3.2%
린 1
 
3.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03130000CDFF124107199900000119990917<NA>3폐업3폐업20150121<NA><NA><NA>02-3143-2745<NA><NA>서울특별시 마포구 합정동 ***-**번지서울특별시 마포구 독막로*길 * (합정동)121884(주)에꼴 종합 대행사2015-01-21 12:58:41I2018-08-31 23:59:59.0<NA>192592.003523449497.854955비디오물제작업<NA><NA><NA>비디오물151.41<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>
13130000CDFF124107199900000219990914<NA>1영업/정상13영업중<NA><NA><NA><NA>703-4011<NA><NA>서울특별시 마포구 도화동 ***번지 한화오벨리스크 아동 ****호서울특별시 마포구 마포대로 ** (도화동, 한화오벨리스크 아-****호)4167(주)에이스미디어프로덕션2011-10-31 13:34:36I2018-08-31 23:59:59.0<NA>195111.088139448644.311299비디오물제작업<NA><NA><NA>대표자 개명 및 소재지 변경<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>
23130000CDFF124107200000000120001222<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>121819서울특별시 마포구 동교동 ***-*번지 영준빌딩 본관 ***호서울특별시 마포구 월드컵북로 **, ***호 (동교동,영준빌딩 본관)3992(주)마더텅2006-09-06 14:34:19I2018-08-31 23:59:59.0<NA>192861.064576450513.247342비디오물제작업유통관련업<NA><NA>비디오물<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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