Overview

Dataset statistics

Number of variables56
Number of observations1141
Missing cells27620
Missing cells (%)43.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory540.5 KiB
Average record size in memory485.1 B

Variable types

Categorical20
Text8
DateTime4
Numeric4
Unsupported20

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
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-17901/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (99.0%)Imbalance
영업상태코드 is highly imbalanced (50.3%)Imbalance
영업상태명 is highly imbalanced (50.3%)Imbalance
상세영업상태명 is highly imbalanced (60.0%)Imbalance
휴업시작일자 is highly imbalanced (99.0%)Imbalance
휴업종료일자 is highly imbalanced (99.0%)Imbalance
데이터갱신구분 is highly imbalanced (55.1%)Imbalance
총층수 is highly imbalanced (75.6%)Imbalance
지상층수 is highly imbalanced (78.8%)Imbalance
지하층수 is highly imbalanced (70.1%)Imbalance
건물용도명 is highly imbalanced (93.3%)Imbalance
통로너비 is highly imbalanced (79.8%)Imbalance
조명시설조도 is highly imbalanced (79.8%)Imbalance
노래방실수 is highly imbalanced (79.8%)Imbalance
청소년실수 is highly imbalanced (79.8%)Imbalance
총게임기수 is highly imbalanced (79.8%)Imbalance
지역구분명 is highly imbalanced (95.1%)Imbalance
폐업일자 has 760 (66.6%) missing valuesMissing
재개업일자 has 1141 (100.0%) missing valuesMissing
전화번호 has 832 (72.9%) missing valuesMissing
소재지면적 has 1141 (100.0%) missing valuesMissing
소재지우편번호 has 512 (44.9%) missing valuesMissing
도로명주소 has 81 (7.1%) missing valuesMissing
도로명우편번호 has 475 (41.6%) missing valuesMissing
업태구분명 has 1141 (100.0%) missing valuesMissing
좌표정보(X) has 63 (5.5%) missing valuesMissing
좌표정보(Y) has 63 (5.5%) missing valuesMissing
주변환경명 has 1135 (99.5%) missing valuesMissing
제작취급품목내용 has 1141 (100.0%) missing valuesMissing
시설면적 has 874 (76.6%) missing valuesMissing
비상계단여부 has 1141 (100.0%) missing valuesMissing
비상구여부 has 1141 (100.0%) missing valuesMissing
자동환기여부 has 1141 (100.0%) missing valuesMissing
청소년실여부 has 1141 (100.0%) missing valuesMissing
특수조명여부 has 1141 (100.0%) missing valuesMissing
방음시설여부 has 1141 (100.0%) missing valuesMissing
비디오재생기명 has 1141 (100.0%) missing valuesMissing
조명시설유무 has 1141 (100.0%) missing valuesMissing
음향시설여부 has 1141 (100.0%) missing valuesMissing
편의시설여부 has 1141 (100.0%) missing valuesMissing
소방시설여부 has 1141 (100.0%) missing valuesMissing
기존게임업외업종명 has 1141 (100.0%) missing valuesMissing
제공게임물명 has 1141 (100.0%) missing valuesMissing
공연장형태구분명 has 1141 (100.0%) missing valuesMissing
품목명 has 1141 (100.0%) missing valuesMissing
최초등록시점 has 1141 (100.0%) missing valuesMissing
좌표정보(X) is highly skewed (γ1 = 29.46472909)Skewed
좌표정보(Y) is highly skewed (γ1 = -31.10136613)Skewed
관리번호 has unique valuesUnique
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
시설면적 has 254 (22.3%) zerosZeros

Reproduction

Analysis started2024-05-11 03:04:39.847397
Analysis finished2024-05-11 03:04:43.027445
Duration3.18 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
3240000
1141 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3240000
2nd row3240000
3rd row3240000
4th row3240000
5th row3240000

Common Values

ValueCountFrequency (%)
3240000 1141
100.0%

Length

2024-05-11T03:04:43.229265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:04:43.533484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 1141
100.0%

관리번호
Text

UNIQUE 

Distinct1141
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2024-05-11T03:04:44.084306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters22820
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1141 ?
Unique (%)100.0%

Sample

1st rowCDFG1251001956000001
2nd rowCDFG1251001960000001
3rd rowCDFG1251001973000001
4th rowCDFG1251001978000001
5th rowCDFG1251001979000001
ValueCountFrequency (%)
cdfg1251001956000001 1
 
0.1%
cdfg1251002017000045 1
 
0.1%
cdfg1251002017000042 1
 
0.1%
cdfg1251002017000041 1
 
0.1%
cdfg1251002017000039 1
 
0.1%
cdfg1251002017000038 1
 
0.1%
cdfg1251002017000037 1
 
0.1%
cdfg1251002017000036 1
 
0.1%
cdfg1251002017000030 1
 
0.1%
cdfg1251002017000021 1
 
0.1%
Other values (1131) 1131
99.1%
2024-05-11T03:04:45.212878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8551
37.5%
1 3419
 
15.0%
2 2848
 
12.5%
5 1424
 
6.2%
C 1141
 
5.0%
D 1141
 
5.0%
F 1141
 
5.0%
G 1141
 
5.0%
9 537
 
2.4%
3 417
 
1.8%
Other values (4) 1060
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18256
80.0%
Uppercase Letter 4564
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8551
46.8%
1 3419
 
18.7%
2 2848
 
15.6%
5 1424
 
7.8%
9 537
 
2.9%
3 417
 
2.3%
4 361
 
2.0%
6 264
 
1.4%
8 250
 
1.4%
7 185
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 1141
25.0%
D 1141
25.0%
F 1141
25.0%
G 1141
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18256
80.0%
Latin 4564
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8551
46.8%
1 3419
 
18.7%
2 2848
 
15.6%
5 1424
 
7.8%
9 537
 
2.9%
3 417
 
2.3%
4 361
 
2.0%
6 264
 
1.4%
8 250
 
1.4%
7 185
 
1.0%
Latin
ValueCountFrequency (%)
C 1141
25.0%
D 1141
25.0%
F 1141
25.0%
G 1141
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22820
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8551
37.5%
1 3419
 
15.0%
2 2848
 
12.5%
5 1424
 
6.2%
C 1141
 
5.0%
D 1141
 
5.0%
F 1141
 
5.0%
G 1141
 
5.0%
9 537
 
2.4%
3 417
 
1.8%
Other values (4) 1060
 
4.6%

인허가일자
Date

Distinct1023
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
Minimum1956-01-05 00:00:00
Maximum2024-04-11 00:00:00
2024-05-11T03:04:45.798693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:04:46.354683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
<NA>
1140 
20110406
 
1

Length

Max length8
Median length4
Mean length4.0035057
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1140
99.9%
20110406 1
 
0.1%

Length

2024-05-11T03:04:46.821420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:04:47.269835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1140
99.9%
20110406 1
 
0.1%

영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
1
755 
3
335 
5
 
39
4
 
11
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 755
66.2%
3 335
29.4%
5 39
 
3.4%
4 11
 
1.0%
2 1
 
0.1%

Length

2024-05-11T03:04:47.741690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:04:48.166709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 755
66.2%
3 335
29.4%
5 39
 
3.4%
4 11
 
1.0%
2 1
 
0.1%

영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
영업/정상
755 
폐업
335 
제외/삭제/전출
 
39
취소/말소/만료/정지/중지
 
11
휴업
 
1

Length

Max length14
Median length5
Mean length4.305872
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 755
66.2%
폐업 335
29.4%
제외/삭제/전출 39
 
3.4%
취소/말소/만료/정지/중지 11
 
1.0%
휴업 1
 
0.1%

Length

2024-05-11T03:04:48.725085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:04:49.197135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 755
66.2%
폐업 335
29.4%
제외/삭제/전출 39
 
3.4%
취소/말소/만료/정지/중지 11
 
1.0%
휴업 1
 
0.1%

상세영업상태코드
Real number (ℝ)

Distinct8
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.332165
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2024-05-11T03:04:49.576443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median13
Q313
95-th percentile13
Maximum35
Range33
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.1866148
Coefficient of variation (CV)0.50198723
Kurtosis2.7594863
Mean10.332165
Median Absolute Deviation (MAD)0
Skewness0.24373134
Sum11789
Variance26.900973
MonotonicityNot monotonic
2024-05-11T03:04:50.046440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
13 750
65.7%
3 335
29.4%
15 39
 
3.4%
35 9
 
0.8%
14 5
 
0.4%
30 1
 
0.1%
32 1
 
0.1%
2 1
 
0.1%
ValueCountFrequency (%)
2 1
 
0.1%
3 335
29.4%
13 750
65.7%
14 5
 
0.4%
15 39
 
3.4%
30 1
 
0.1%
32 1
 
0.1%
35 9
 
0.8%
ValueCountFrequency (%)
35 9
 
0.8%
32 1
 
0.1%
30 1
 
0.1%
15 39
 
3.4%
14 5
 
0.4%
13 750
65.7%
3 335
29.4%
2 1
 
0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
영업중
750 
폐업
335 
전출
 
39
직권말소
 
9
전입
 
5
Other values (3)
 
3

Length

Max length4
Median length3
Mean length2.6765995
Min length2

Unique

Unique3 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 750
65.7%
폐업 335
29.4%
전출 39
 
3.4%
직권말소 9
 
0.8%
전입 5
 
0.4%
허가취소 1
 
0.1%
신고취소 1
 
0.1%
휴업 1
 
0.1%

Length

2024-05-11T03:04:50.644183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:04:51.121077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 750
65.7%
폐업 335
29.4%
전출 39
 
3.4%
직권말소 9
 
0.8%
전입 5
 
0.4%
허가취소 1
 
0.1%
신고취소 1
 
0.1%
휴업 1
 
0.1%

폐업일자
Date

MISSING 

Distinct339
Distinct (%)89.0%
Missing760
Missing (%)66.6%
Memory size9.0 KiB
Minimum1988-12-21 00:00:00
Maximum2024-04-23 00:00:00
2024-05-11T03:04:51.536291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:04:51.976390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
<NA>
1140 
20100325
 
1

Length

Max length8
Median length4
Mean length4.0035057
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1140
99.9%
20100325 1
 
0.1%

Length

2024-05-11T03:04:52.489010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:04:52.784337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1140
99.9%
20100325 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
<NA>
1140 
20110331
 
1

Length

Max length8
Median length4
Mean length4.0035057
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1140
99.9%
20110331 1
 
0.1%

Length

2024-05-11T03:04:53.134476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:04:53.375685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1140
99.9%
20110331 1
 
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

전화번호
Text

MISSING 

Distinct290
Distinct (%)93.9%
Missing832
Missing (%)72.9%
Memory size9.0 KiB
2024-05-11T03:04:53.796549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.174757
Min length1

Characters and Unicode

Total characters3144
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique275 ?
Unique (%)89.0%

Sample

1st row02-473-3680
2nd row323-7275
3rd row02-2225-5554
4th row474-0022
5th row474-0131
ValueCountFrequency (%)
0 5
 
1.6%
336-4688 3
 
1.0%
02-2289-9081 2
 
0.6%
02-442-9506 2
 
0.6%
02-2627-3280 2
 
0.6%
486-3228 2
 
0.6%
02-6487-6230 2
 
0.6%
02-2225-5819 2
 
0.6%
02-428-8181 2
 
0.6%
472-5751 2
 
0.6%
Other values (280) 285
92.2%
2024-05-11T03:04:54.758478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 477
15.2%
- 475
15.1%
2 426
13.5%
4 357
11.4%
7 287
9.1%
8 221
7.0%
5 210
6.7%
6 190
 
6.0%
1 188
 
6.0%
3 169
 
5.4%
Other values (4) 144
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2664
84.7%
Dash Punctuation 475
 
15.1%
Other Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 477
17.9%
2 426
16.0%
4 357
13.4%
7 287
10.8%
8 221
8.3%
5 210
7.9%
6 190
 
7.1%
1 188
 
7.1%
3 169
 
6.3%
9 139
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 475
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3144
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 477
15.2%
- 475
15.1%
2 426
13.5%
4 357
11.4%
7 287
9.1%
8 221
7.0%
5 210
6.7%
6 190
 
6.0%
1 188
 
6.0%
3 169
 
5.4%
Other values (4) 144
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3144
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 477
15.2%
- 475
15.1%
2 426
13.5%
4 357
11.4%
7 287
9.1%
8 221
7.0%
5 210
6.7%
6 190
 
6.0%
1 188
 
6.0%
3 169
 
5.4%
Other values (4) 144
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

소재지우편번호
Text

MISSING 

Distinct127
Distinct (%)20.2%
Missing512
Missing (%)44.9%
Memory size9.0 KiB
2024-05-11T03:04:55.394479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0111288
Min length6

Characters and Unicode

Total characters3781
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

Unique41 ?
Unique (%)6.5%

Sample

1st row134822
2nd row134861
3rd row134843
4th row121896
5th row134785
ValueCountFrequency (%)
134822 38
 
6.0%
134851 26
 
4.1%
134825 26
 
4.1%
134864 24
 
3.8%
134830 23
 
3.7%
134848 20
 
3.2%
134841 17
 
2.7%
134010 17
 
2.7%
134874 15
 
2.4%
134846 15
 
2.4%
Other values (117) 408
64.9%
2024-05-11T03:04:56.677039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 812
21.5%
4 796
21.1%
3 723
19.1%
8 588
15.6%
0 203
 
5.4%
7 199
 
5.3%
2 153
 
4.0%
5 136
 
3.6%
6 119
 
3.1%
9 45
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3774
99.8%
Dash Punctuation 7
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 812
21.5%
4 796
21.1%
3 723
19.2%
8 588
15.6%
0 203
 
5.4%
7 199
 
5.3%
2 153
 
4.1%
5 136
 
3.6%
6 119
 
3.2%
9 45
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3781
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 812
21.5%
4 796
21.1%
3 723
19.1%
8 588
15.6%
0 203
 
5.4%
7 199
 
5.3%
2 153
 
4.0%
5 136
 
3.6%
6 119
 
3.1%
9 45
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3781
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 812
21.5%
4 796
21.1%
3 723
19.1%
8 588
15.6%
0 203
 
5.4%
7 199
 
5.3%
2 153
 
4.0%
5 136
 
3.6%
6 119
 
3.1%
9 45
 
1.2%

지번주소
Text

Distinct737
Distinct (%)64.9%
Missing5
Missing (%)0.4%
Memory size9.0 KiB
2024-05-11T03:04:57.345531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length42
Mean length27.518486
Min length14

Characters and Unicode

Total characters31261
Distinct characters316
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique608 ?
Unique (%)53.5%

Sample

1st row서울특별시 강동구 둔촌동 ***-*번지 정일B/D ***호
2nd row서울특별시 강동구 천호동 **-**번지 (*층)
3rd row서울특별시 강동구 성내동 ***-*번지
4th row서울특별시 마포구 서교동 ***-**번지
5th row서울특별시 강동구 ***-**번지 경기 안성 공도 마정리
ValueCountFrequency (%)
서울특별시 1132
19.1%
강동구 1124
18.9%
번지 778
13.1%
호 398
 
6.7%
355
 
6.0%
성내동 295
 
5.0%
천호동 207
 
3.5%
명일동 139
 
2.3%
동 129
 
2.2%
길동 120
 
2.0%
Other values (514) 1262
21.2%
2024-05-11T03:04:58.839713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 6494
20.8%
5429
17.4%
동 2486
 
8.0%
강 1206
 
3.9%
시 1149
 
3.7%
구 1145
 
3.7%
서 1137
 
3.6%
울 1134
 
3.6%
특 1132
 
3.6%
별 1132
 
3.6%
Other values (306) 8817
28.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18253
58.4%
Other Punctuation 6519
 
20.9%
Space Separator 5429
 
17.4%
Dash Punctuation 869
 
2.8%
Uppercase Letter 84
 
0.3%
Decimal Number 51
 
0.2%
Open Punctuation 22
 
0.1%
Close Punctuation 21
 
0.1%
Lowercase Letter 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2486
13.6%
강 1206
 
6.6%
시 1149
 
6.3%
구 1145
 
6.3%
서 1137
 
6.2%
울 1134
 
6.2%
특 1132
 
6.2%
별 1132
 
6.2%
지 831
 
4.6%
번 778
 
4.3%
Other values (266) 6123
33.5%
Uppercase Letter
ValueCountFrequency (%)
B 32
38.1%
D 22
26.2%
A 4
 
4.8%
U 3
 
3.6%
C 3
 
3.6%
S 3
 
3.6%
K 3
 
3.6%
V 2
 
2.4%
R 2
 
2.4%
G 2
 
2.4%
Other values (6) 8
 
9.5%
Decimal Number
ValueCountFrequency (%)
1 13
25.5%
3 7
13.7%
0 7
13.7%
4 7
13.7%
5 5
 
9.8%
9 5
 
9.8%
7 3
 
5.9%
8 2
 
3.9%
6 2
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
e 5
38.5%
i 2
 
15.4%
r 1
 
7.7%
w 1
 
7.7%
v 1
 
7.7%
c 1
 
7.7%
m 1
 
7.7%
d 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
* 6494
99.6%
/ 21
 
0.3%
, 4
 
0.1%
Space Separator
ValueCountFrequency (%)
5429
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 869
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18252
58.4%
Common 12911
41.3%
Latin 97
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2486
13.6%
강 1206
 
6.6%
시 1149
 
6.3%
구 1145
 
6.3%
서 1137
 
6.2%
울 1134
 
6.2%
특 1132
 
6.2%
별 1132
 
6.2%
지 831
 
4.6%
번 778
 
4.3%
Other values (265) 6122
33.5%
Latin
ValueCountFrequency (%)
B 32
33.0%
D 22
22.7%
e 5
 
5.2%
A 4
 
4.1%
U 3
 
3.1%
C 3
 
3.1%
S 3
 
3.1%
K 3
 
3.1%
i 2
 
2.1%
V 2
 
2.1%
Other values (14) 18
18.6%
Common
ValueCountFrequency (%)
* 6494
50.3%
5429
42.0%
- 869
 
6.7%
( 22
 
0.2%
/ 21
 
0.2%
) 21
 
0.2%
1 13
 
0.1%
3 7
 
0.1%
0 7
 
0.1%
4 7
 
0.1%
Other values (6) 21
 
0.2%
Han
ValueCountFrequency (%)
家 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18252
58.4%
ASCII 13008
41.6%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 6494
49.9%
5429
41.7%
- 869
 
6.7%
B 32
 
0.2%
D 22
 
0.2%
( 22
 
0.2%
/ 21
 
0.2%
) 21
 
0.2%
1 13
 
0.1%
3 7
 
0.1%
Other values (30) 78
 
0.6%
Hangul
ValueCountFrequency (%)
동 2486
13.6%
강 1206
 
6.6%
시 1149
 
6.3%
구 1145
 
6.3%
서 1137
 
6.2%
울 1134
 
6.2%
특 1132
 
6.2%
별 1132
 
6.2%
지 831
 
4.6%
번 778
 
4.3%
Other values (265) 6122
33.5%
CJK
ValueCountFrequency (%)
家 1
100.0%

도로명주소
Text

MISSING 

Distinct878
Distinct (%)82.8%
Missing81
Missing (%)7.1%
Memory size9.0 KiB
2024-05-11T03:04:59.872611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length47
Mean length35.4
Min length22

Characters and Unicode

Total characters37524
Distinct characters319
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique761 ?
Unique (%)71.8%

Sample

1st row서울특별시 강동구 양재대로***길 ** (천호동,(*층))
2nd row서울특별시 강동구 양재대로***길 ** (성내동)
3rd row서울특별시 마포구 동교로**길 ** (서교동)
4th row서울특별시 강동구 천호대로 ****, ****호 (천호동,힐탑오피스텔)
5th row서울특별시 강동구 양재대로 ****, ***호 (둔촌동,원천빌딩)
ValueCountFrequency (%)
1061
15.5%
서울특별시 1058
15.4%
강동구 1051
15.3%
호 581
 
8.5%
성내동 203
 
3.0%
동 202
 
2.9%
층 182
 
2.7%
천호동 145
 
2.1%
암사동 98
 
1.4%
명일동 90
 
1.3%
Other values (617) 2185
31.9%
2024-05-11T03:05:01.567790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 6897
18.4%
6124
16.3%
동 2507
 
6.7%
, 1312
 
3.5%
강 1159
 
3.1%
구 1120
 
3.0%
( 1079
 
2.9%
) 1078
 
2.9%
시 1073
 
2.9%
서 1063
 
2.8%
Other values (309) 14112
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20685
55.1%
Other Punctuation 8225
 
21.9%
Space Separator 6124
 
16.3%
Open Punctuation 1079
 
2.9%
Close Punctuation 1078
 
2.9%
Dash Punctuation 177
 
0.5%
Uppercase Letter 91
 
0.2%
Decimal Number 48
 
0.1%
Lowercase Letter 15
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2507
 
12.1%
강 1159
 
5.6%
구 1120
 
5.4%
시 1073
 
5.2%
서 1063
 
5.1%
울 1060
 
5.1%
별 1058
 
5.1%
특 1058
 
5.1%
로 1036
 
5.0%
호 997
 
4.8%
Other values (266) 8554
41.4%
Uppercase Letter
ValueCountFrequency (%)
B 39
42.9%
D 17
18.7%
A 6
 
6.6%
C 5
 
5.5%
K 3
 
3.3%
R 3
 
3.3%
S 3
 
3.3%
U 3
 
3.3%
J 2
 
2.2%
G 2
 
2.2%
Other values (6) 8
 
8.8%
Decimal Number
ValueCountFrequency (%)
1 15
31.2%
0 8
16.7%
3 6
 
12.5%
4 5
 
10.4%
8 4
 
8.3%
2 3
 
6.2%
7 3
 
6.2%
5 2
 
4.2%
9 1
 
2.1%
6 1
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
e 6
40.0%
i 2
 
13.3%
r 1
 
6.7%
v 1
 
6.7%
w 1
 
6.7%
b 1
 
6.7%
m 1
 
6.7%
d 1
 
6.7%
c 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
* 6897
83.9%
, 1312
 
16.0%
/ 16
 
0.2%
Space Separator
ValueCountFrequency (%)
6124
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1079
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1078
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 177
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20684
55.1%
Common 16733
44.6%
Latin 106
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2507
 
12.1%
강 1159
 
5.6%
구 1120
 
5.4%
시 1073
 
5.2%
서 1063
 
5.1%
울 1060
 
5.1%
별 1058
 
5.1%
특 1058
 
5.1%
로 1036
 
5.0%
호 997
 
4.8%
Other values (265) 8553
41.4%
Latin
ValueCountFrequency (%)
B 39
36.8%
D 17
16.0%
A 6
 
5.7%
e 6
 
5.7%
C 5
 
4.7%
K 3
 
2.8%
R 3
 
2.8%
S 3
 
2.8%
U 3
 
2.8%
J 2
 
1.9%
Other values (15) 19
17.9%
Common
ValueCountFrequency (%)
* 6897
41.2%
6124
36.6%
, 1312
 
7.8%
( 1079
 
6.4%
) 1078
 
6.4%
- 177
 
1.1%
/ 16
 
0.1%
1 15
 
0.1%
0 8
 
< 0.1%
3 6
 
< 0.1%
Other values (8) 21
 
0.1%
Han
ValueCountFrequency (%)
家 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20684
55.1%
ASCII 16839
44.9%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 6897
41.0%
6124
36.4%
, 1312
 
7.8%
( 1079
 
6.4%
) 1078
 
6.4%
- 177
 
1.1%
B 39
 
0.2%
D 17
 
0.1%
/ 16
 
0.1%
1 15
 
0.1%
Other values (33) 85
 
0.5%
Hangul
ValueCountFrequency (%)
동 2507
 
12.1%
강 1159
 
5.6%
구 1120
 
5.4%
시 1073
 
5.2%
서 1063
 
5.1%
울 1060
 
5.1%
별 1058
 
5.1%
특 1058
 
5.1%
로 1036
 
5.0%
호 997
 
4.8%
Other values (265) 8553
41.4%
CJK
ValueCountFrequency (%)
家 1
100.0%

도로명우편번호
Text

MISSING 

Distinct236
Distinct (%)35.4%
Missing475
Missing (%)41.6%
Memory size9.0 KiB
2024-05-11T03:05:02.323394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2477477
Min length5

Characters and Unicode

Total characters3495
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

Unique93 ?
Unique (%)14.0%

Sample

1st row134843
2nd row05407
3rd row05407
4th row05248
5th row134801
ValueCountFrequency (%)
05269 15
 
2.3%
05248 12
 
1.8%
05274 11
 
1.7%
05398 11
 
1.7%
05407 11
 
1.7%
05240 10
 
1.5%
05267 9
 
1.4%
05340 9
 
1.4%
05238 9
 
1.4%
05385 8
 
1.2%
Other values (226) 561
84.2%
2024-05-11T03:05:04.234702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 695
19.9%
5 635
18.2%
3 518
14.8%
4 361
10.3%
2 341
9.8%
1 282
8.1%
8 220
 
6.3%
7 192
 
5.5%
6 127
 
3.6%
9 120
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3491
99.9%
Dash Punctuation 4
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 695
19.9%
5 635
18.2%
3 518
14.8%
4 361
10.3%
2 341
9.8%
1 282
8.1%
8 220
 
6.3%
7 192
 
5.5%
6 127
 
3.6%
9 120
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3495
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 695
19.9%
5 635
18.2%
3 518
14.8%
4 361
10.3%
2 341
9.8%
1 282
8.1%
8 220
 
6.3%
7 192
 
5.5%
6 127
 
3.6%
9 120
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3495
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 695
19.9%
5 635
18.2%
3 518
14.8%
4 361
10.3%
2 341
9.8%
1 282
8.1%
8 220
 
6.3%
7 192
 
5.5%
6 127
 
3.6%
9 120
 
3.4%

사업장명
Text

Distinct1128
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2024-05-11T03:05:04.994779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length6.7484663
Min length1

Characters and Unicode

Total characters7700
Distinct characters638
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1115 ?
Unique (%)97.7%

Sample

1st row신아사
2nd row교육개발원
3rd row서울과학사
4th row삼광출판사
5th row종문사
ValueCountFrequency (%)
도서출판 86
 
5.7%
주식회사 60
 
4.0%
출판사 11
 
0.7%
미디어 9
 
0.6%
books 7
 
0.5%
디자인 5
 
0.3%
주 5
 
0.3%
북스 3
 
0.2%
사단법인 3
 
0.2%
숲 3
 
0.2%
Other values (1273) 1315
87.3%
2024-05-11T03:05:06.514877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
368
 
4.8%
사 218
 
2.8%
판 210
 
2.7%
출 208
 
2.7%
주 183
 
2.4%
스 179
 
2.3%
서 167
 
2.2%
) 156
 
2.0%
( 156
 
2.0%
도 145
 
1.9%
Other values (628) 5710
74.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6068
78.8%
Lowercase Letter 491
 
6.4%
Uppercase Letter 401
 
5.2%
Space Separator 368
 
4.8%
Close Punctuation 156
 
2.0%
Open Punctuation 156
 
2.0%
Decimal Number 31
 
0.4%
Other Punctuation 18
 
0.2%
Dash Punctuation 9
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 218
 
3.6%
판 210
 
3.5%
출 208
 
3.4%
주 183
 
3.0%
스 179
 
2.9%
서 167
 
2.8%
도 145
 
2.4%
이 137
 
2.3%
리 105
 
1.7%
한 92
 
1.5%
Other values (563) 4424
72.9%
Uppercase Letter
ValueCountFrequency (%)
S 37
 
9.2%
A 37
 
9.2%
T 31
 
7.7%
E 26
 
6.5%
O 26
 
6.5%
B 24
 
6.0%
C 24
 
6.0%
M 23
 
5.7%
I 23
 
5.7%
L 19
 
4.7%
Other values (14) 131
32.7%
Lowercase Letter
ValueCountFrequency (%)
o 70
14.3%
e 57
11.6%
s 40
 
8.1%
i 37
 
7.5%
a 31
 
6.3%
r 30
 
6.1%
n 29
 
5.9%
l 27
 
5.5%
t 21
 
4.3%
d 21
 
4.3%
Other values (13) 128
26.1%
Decimal Number
ValueCountFrequency (%)
1 11
35.5%
2 8
25.8%
0 6
19.4%
8 3
 
9.7%
3 1
 
3.2%
4 1
 
3.2%
9 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
. 10
55.6%
& 4
 
22.2%
, 2
 
11.1%
' 1
 
5.6%
! 1
 
5.6%
Space Separator
ValueCountFrequency (%)
368
100.0%
Close Punctuation
ValueCountFrequency (%)
) 156
100.0%
Open Punctuation
ValueCountFrequency (%)
( 156
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6053
78.6%
Latin 892
 
11.6%
Common 739
 
9.6%
Han 16
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 218
 
3.6%
판 210
 
3.5%
출 208
 
3.4%
주 183
 
3.0%
스 179
 
3.0%
서 167
 
2.8%
도 145
 
2.4%
이 137
 
2.3%
리 105
 
1.7%
한 92
 
1.5%
Other values (549) 4409
72.8%
Latin
ValueCountFrequency (%)
o 70
 
7.8%
e 57
 
6.4%
s 40
 
4.5%
S 37
 
4.1%
A 37
 
4.1%
i 37
 
4.1%
T 31
 
3.5%
a 31
 
3.5%
r 30
 
3.4%
n 29
 
3.3%
Other values (37) 493
55.3%
Common
ValueCountFrequency (%)
368
49.8%
) 156
21.1%
( 156
21.1%
1 11
 
1.5%
. 10
 
1.4%
- 9
 
1.2%
2 8
 
1.1%
0 6
 
0.8%
& 4
 
0.5%
8 3
 
0.4%
Other values (7) 8
 
1.1%
Han
ValueCountFrequency (%)
古 2
 
12.5%
所 1
 
6.2%
究 1
 
6.2%
齋 1
 
6.2%
學 1
 
6.2%
想 1
 
6.2%
預 1
 
6.2%
知 1
 
6.2%
秀 1
 
6.2%
和 1
 
6.2%
Other values (5) 5
31.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6052
78.6%
ASCII 1631
 
21.2%
CJK 16
 
0.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
368
22.6%
) 156
 
9.6%
( 156
 
9.6%
o 70
 
4.3%
e 57
 
3.5%
s 40
 
2.5%
S 37
 
2.3%
A 37
 
2.3%
i 37
 
2.3%
T 31
 
1.9%
Other values (54) 642
39.4%
Hangul
ValueCountFrequency (%)
사 218
 
3.6%
판 210
 
3.5%
출 208
 
3.4%
주 183
 
3.0%
스 179
 
3.0%
서 167
 
2.8%
도 145
 
2.4%
이 137
 
2.3%
리 105
 
1.7%
한 92
 
1.5%
Other values (548) 4408
72.8%
CJK
ValueCountFrequency (%)
古 2
 
12.5%
所 1
 
6.2%
究 1
 
6.2%
齋 1
 
6.2%
學 1
 
6.2%
想 1
 
6.2%
預 1
 
6.2%
知 1
 
6.2%
秀 1
 
6.2%
和 1
 
6.2%
Other values (5) 5
31.2%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

Distinct947
Distinct (%)83.0%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
Minimum2003-02-06 13:33:21
Maximum2024-05-08 15:35:09
2024-05-11T03:05:07.011755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:05:07.437429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
I
923 
U
217 
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 923
80.9%
U 217
 
19.0%
D 1
 
0.1%

Length

2024-05-11T03:05:07.996588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:05:08.299630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 923
80.9%
u 217
 
19.0%
d 1
 
0.1%

데이터갱신일자
Date

Distinct372
Distinct (%)32.6%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T03:05:08.708649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:05:09.476284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING  SKEWED 

Distinct739
Distinct (%)68.6%
Missing63
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean212339.76
Minimum190249.02
Maximum413328.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2024-05-11T03:05:09.948385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190249.02
5-th percentile210730.24
Q1211267.44
median211967.68
Q3212817.2
95-th percentile215008.53
Maximum413328.72
Range223079.7
Interquartile range (IQR)1549.7613

Descriptive statistics

Standard deviation6346.2064
Coefficient of variation (CV)0.029887038
Kurtosis936.65352
Mean212339.76
Median Absolute Deviation (MAD)741.16975
Skewness29.464729
Sum2.2890226 × 108
Variance40274336
MonotonicityNot monotonic
2024-05-11T03:05:10.524924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
211542.314116941 21
 
1.8%
212480.463676316 13
 
1.1%
211047.878697259 11
 
1.0%
210726.755874418 10
 
0.9%
211368.226711282 8
 
0.7%
211976.269176583 8
 
0.7%
211458.648093395 8
 
0.7%
215422.746119624 8
 
0.7%
213354.806799715 8
 
0.7%
213048.692179757 8
 
0.7%
Other values (729) 975
85.5%
(Missing) 63
 
5.5%
ValueCountFrequency (%)
190249.024206204 1
0.1%
192563.697117558 1
0.1%
194237.248273 1
0.1%
205180.228190275 1
0.1%
207286.762246253 1
0.1%
208233.926974585 2
0.2%
210020.110790534 1
0.1%
210553.290352325 1
0.1%
210586.384070915 1
0.1%
210621.633987432 1
0.1%
ValueCountFrequency (%)
413328.722647219 1
0.1%
215966.729045494 2
0.2%
215901.594590118 1
0.1%
215898.113091143 1
0.1%
215875.024969 2
0.2%
215784.2264 1
0.1%
215672.686503771 2
0.2%
215672.146934322 2
0.2%
215661.222623 1
0.1%
215505.695374616 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING  SKEWED 

Distinct738
Distinct (%)68.5%
Missing63
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean448656.12
Minimum238614.76
Maximum452305.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2024-05-11T03:05:11.128465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238614.76
5-th percentile447030.51
Q1447815.99
median448739.15
Q3449895.45
95-th percentile450750.55
Maximum452305.72
Range213690.96
Interquartile range (IQR)2079.4635

Descriptive statistics

Standard deviation6519.6174
Coefficient of variation (CV)0.014531436
Kurtosis1002.848
Mean448656.12
Median Absolute Deviation (MAD)1035.8595
Skewness-31.101366
Sum4.836513 × 108
Variance42505412
MonotonicityNot monotonic
2024-05-11T03:05:11.691600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448273.114107211 21
 
1.8%
450472.374955204 13
 
1.1%
450021.504957301 11
 
1.0%
447381.53172133 10
 
0.9%
446866.136845151 8
 
0.7%
447462.077236492 8
 
0.7%
450316.255472825 8
 
0.7%
450031.389222568 8
 
0.7%
449887.005648161 8
 
0.7%
450124.105734971 8
 
0.7%
Other values (728) 975
85.5%
(Missing) 63
 
5.5%
ValueCountFrequency (%)
238614.764412428 1
 
0.1%
444546.733868489 1
 
0.1%
445435.257647797 2
0.2%
446598.591776331 3
0.3%
446699.196101461 1
 
0.1%
446778.592045172 2
0.2%
446782.812809795 1
 
0.1%
446800.300910632 1
 
0.1%
446803.062817193 1
 
0.1%
446810.814080816 1
 
0.1%
ValueCountFrequency (%)
452305.723682264 1
 
0.1%
452152.024544351 3
0.3%
452130.329696 1
 
0.1%
452107.257532 2
0.2%
452096.801259 1
 
0.1%
452037.828304505 1
 
0.1%
451774.813888 2
0.2%
451725.941564 1
 
0.1%
451718.460112743 2
0.2%
451683.180260586 1
 
0.1%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
출판사
916 
<NA>
225 

Length

Max length4
Median length3
Mean length3.1971954
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판사 916
80.3%
<NA> 225
 
19.7%

Length

2024-05-11T03:05:12.219346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:05:12.668482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판사 916
80.3%
na 225
 
19.7%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
출판인쇄업
916 
<NA>
225 

Length

Max length5
Median length5
Mean length4.8028046
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판인쇄업 916
80.3%
<NA> 225
 
19.7%

Length

2024-05-11T03:05:12.980010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:05:13.430974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 916
80.3%
na 225
 
19.7%

총층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
<NA>
1027 
0
111 
4
 
2
2
 
1

Length

Max length4
Median length4
Mean length3.7002629
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1027
90.0%
0 111
 
9.7%
4 2
 
0.2%
2 1
 
0.1%

Length

2024-05-11T03:05:13.902710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:05:14.228269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1027
90.0%
0 111
 
9.7%
4 2
 
0.2%
2 1
 
0.1%

주변환경명
Text

MISSING 

Distinct3
Distinct (%)50.0%
Missing1135
Missing (%)99.5%
Memory size9.0 KiB
2024-05-11T03:05:14.605848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.5
Min length2

Characters and Unicode

Total characters27
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 (%)16.7%

Sample

1st row아파트지역
2nd row주택가주변
3rd row기타
4th row주택가주변
5th row아파트지역
ValueCountFrequency (%)
주택가주변 3
50.0%
아파트지역 2
33.3%
기타 1
 
16.7%
2024-05-11T03:05:15.417983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 6
22.2%
택 3
11.1%
가 3
11.1%
변 3
11.1%
아 2
 
7.4%
파 2
 
7.4%
트 2
 
7.4%
지 2
 
7.4%
역 2
 
7.4%
기 1
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 6
22.2%
택 3
11.1%
가 3
11.1%
변 3
11.1%
아 2
 
7.4%
파 2
 
7.4%
트 2
 
7.4%
지 2
 
7.4%
역 2
 
7.4%
기 1
 
3.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 6
22.2%
택 3
11.1%
가 3
11.1%
변 3
11.1%
아 2
 
7.4%
파 2
 
7.4%
트 2
 
7.4%
지 2
 
7.4%
역 2
 
7.4%
기 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 6
22.2%
택 3
11.1%
가 3
11.1%
변 3
11.1%
아 2
 
7.4%
파 2
 
7.4%
트 2
 
7.4%
지 2
 
7.4%
역 2
 
7.4%
기 1
 
3.7%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)5.2%
Missing874
Missing (%)76.6%
Infinite0
Infinite (%)0.0%
Mean3.6753184
Minimum0
Maximum247.22
Zeros254
Zeros (%)22.3%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2024-05-11T03:05:15.887130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum247.22
Range247.22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22.96102
Coefficient of variation (CV)6.2473554
Kurtosis74.472099
Mean3.6753184
Median Absolute Deviation (MAD)0
Skewness8.2515808
Sum981.31
Variance527.20843
MonotonicityNot monotonic
2024-05-11T03:05:16.312194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 254
 
22.3%
10.0 1
 
0.1%
18.0 1
 
0.1%
247.22 1
 
0.1%
55.35 1
 
0.1%
203.61 1
 
0.1%
29.82 1
 
0.1%
39.34 1
 
0.1%
12.59 1
 
0.1%
89.82 1
 
0.1%
Other values (4) 4
 
0.4%
(Missing) 874
76.6%
ValueCountFrequency (%)
0.0 254
22.3%
10.0 1
 
0.1%
12.59 1
 
0.1%
18.0 1
 
0.1%
29.82 1
 
0.1%
36.3 1
 
0.1%
39.34 1
 
0.1%
40.0 1
 
0.1%
53.0 1
 
0.1%
55.35 1
 
0.1%
ValueCountFrequency (%)
247.22 1
0.1%
203.61 1
0.1%
146.26 1
0.1%
89.82 1
0.1%
55.35 1
0.1%
53.0 1
0.1%
40.0 1
0.1%
39.34 1
0.1%
36.3 1
0.1%
29.82 1
0.1%

지상층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
<NA>
1026 
0
112 
4
 
1
3
 
1
16
 
1

Length

Max length4
Median length4
Mean length3.6985101
Min length1

Unique

Unique3 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1026
89.9%
0 112
 
9.8%
4 1
 
0.1%
3 1
 
0.1%
16 1
 
0.1%

Length

2024-05-11T03:05:16.737050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:05:17.130007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1026
89.9%
0 112
 
9.8%
4 1
 
0.1%
3 1
 
0.1%
16 1
 
0.1%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
<NA>
1028 
0
112 
1
 
1

Length

Max length4
Median length4
Mean length3.7028922
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1028
90.1%
0 112
 
9.8%
1 1
 
0.1%

Length

2024-05-11T03:05:17.610552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:05:18.003261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1028
90.1%
0 112
 
9.8%
1 1
 
0.1%

건물용도명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
<NA>
1115 
근린생활시설
 
16
아파트
 
3
다가구용 주택(공동주택적용)
 
2
다세대주택
 
2
Other values (3)
 
3

Length

Max length15
Median length4
Mean length4.0525855
Min length3

Unique

Unique3 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1115
97.7%
근린생활시설 16
 
1.4%
아파트 3
 
0.3%
다가구용 주택(공동주택적용) 2
 
0.2%
다세대주택 2
 
0.2%
단독주택 1
 
0.1%
사무실 1
 
0.1%
다중주택(공동주택적용) 1
 
0.1%

Length

2024-05-11T03:05:18.481229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:05:18.892960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1115
97.6%
근린생활시설 16
 
1.4%
아파트 3
 
0.3%
다가구용 2
 
0.2%
주택(공동주택적용 2
 
0.2%
다세대주택 2
 
0.2%
단독주택 1
 
0.1%
사무실 1
 
0.1%
다중주택(공동주택적용 1
 
0.1%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
<NA>
1105 
0
 
36

Length

Max length4
Median length4
Mean length3.9053462
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> 1105
96.8%
0 36
 
3.2%

Length

2024-05-11T03:05:19.439907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:05:19.753485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1105
96.8%
0 36
 
3.2%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
<NA>
1105 
0
 
36

Length

Max length4
Median length4
Mean length3.9053462
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> 1105
96.8%
0 36
 
3.2%

Length

2024-05-11T03:05:20.181718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:05:20.600720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1105
96.8%
0 36
 
3.2%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
<NA>
1105 
0
 
36

Length

Max length4
Median length4
Mean length3.9053462
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> 1105
96.8%
0 36
 
3.2%

Length

2024-05-11T03:05:20.960029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:05:21.314066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1105
96.8%
0 36
 
3.2%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
<NA>
1105 
0
 
36

Length

Max length4
Median length4
Mean length3.9053462
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> 1105
96.8%
0 36
 
3.2%

Length

2024-05-11T03:05:21.850635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:05:22.204729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1105
96.8%
0 36
 
3.2%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
<NA>
1105 
0
 
36

Length

Max length4
Median length4
Mean length3.9053462
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> 1105
96.8%
0 36
 
3.2%

Length

2024-05-11T03:05:22.612266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:05:22.999145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1105
96.8%
0 36
 
3.2%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1141
Missing (%)100.0%
Memory size10.2 KiB

지역구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
<NA>
1127 
주거지역
 
8
일반주거지역
 
4
준주거지역
 
1
관리지역
 
1

Length

Max length6
Median length4
Mean length4.0078878
Min length4

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1127
98.8%
주거지역 8
 
0.7%
일반주거지역 4
 
0.4%
준주거지역 1
 
0.1%
관리지역 1
 
0.1%

Length

2024-05-11T03:05:23.347282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:05:23.709093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1127
98.8%
주거지역 8
 
0.7%
일반주거지역 4
 
0.4%
준주거지역 1
 
0.1%
관리지역 1
 
0.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03240000CDFG125100195600000119560105<NA>3폐업3폐업20021101<NA><NA><NA><NA><NA>134822서울특별시 강동구 둔촌동 ***-*번지 정일B/D ***호<NA><NA>신아사2003-02-06 13:33:21I2018-08-31 23:59:59.0<NA><NA><NA>출판사출판인쇄업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13240000CDFG125100196000000119601029<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>134861서울특별시 강동구 천호동 **-**번지 (*층)서울특별시 강동구 양재대로***길 ** (천호동,(*층))<NA>교육개발원2003-02-06 13:33:21I2018-08-31 23:59:59.0<NA>212257.165727448969.391001출판사출판인쇄업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23240000CDFG125100197300000119731227<NA>3폐업3폐업20140120<NA><NA><NA>02-473-3680<NA>134843서울특별시 강동구 성내동 ***-*번지서울특별시 강동구 양재대로***길 ** (성내동)134843서울과학사2014-01-20 15:37:33I2018-08-31 23:59:59.0<NA>211995.307779447900.06351출판사출판인쇄업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33240000CDFG125100197800000119780807<NA>1영업/정상13영업중<NA><NA><NA><NA>323-7275<NA>121896서울특별시 마포구 서교동 ***-**번지서울특별시 마포구 동교로**길 ** (서교동)<NA>삼광출판사2007-08-14 14:30:40I2018-08-31 23:59:59.0<NA>192563.697118450676.080403출판사출판인쇄업<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>
43240000CDFG125100197900000119790607<NA>3폐업3폐업19981119<NA><NA><NA><NA><NA><NA>서울특별시 강동구 ***-**번지 경기 안성 공도 마정리<NA><NA>종문사2003-02-06 13:33:21I2018-08-31 23:59:59.0<NA><NA><NA>출판사출판인쇄업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53240000CDFG125100197900000219790607<NA>3폐업3폐업19990730<NA><NA><NA><NA><NA>134785서울특별시 강동구 천호동 ***-**번지 힐탑오피스텔 ****호서울특별시 강동구 천호대로 ****, ****호 (천호동,힐탑오피스텔)<NA>케이앤시컨설팅2003-02-06 13:33:21I2018-08-31 23:59:59.0<NA>211542.314117448273.114107출판사출판인쇄업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63240000CDFG125100197900000319790817<NA>3폐업3폐업19961021<NA><NA><NA><NA><NA>134822서울특별시 강동구 둔촌동 ***번지 원천빌딩 ***호서울특별시 강동구 양재대로 ****, ***호 (둔촌동,원천빌딩)<NA>선일문화사2003-02-06 13:33:21I2018-08-31 23:59:59.0<NA>212114.433404447600.696371출판사출판인쇄업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73240000CDFG125100198000000119800812<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2225-5554<NA><NA>서울특별시 강동구 성내동 ***-**서울특별시 강동구 강동대로 *** (성내동)05407(주)현대영어사2022-01-25 11:23:21U2022-01-27 02:40:00.0<NA>211368.226711446866.136845출판사출판인쇄업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83240000CDFG125100198700000219871212<NA>3폐업3폐업19980901<NA><NA><NA><NA><NA>134844서울특별시 강동구 성내동 ***-*번지서울특별시 강동구 양재대로 **** (성내동)<NA>한국전산교육개발원2003-02-06 13:33:21I2018-08-31 23:59:59.0<NA>211976.269177447462.077236출판사출판인쇄업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93240000CDFG125100198700000319871231<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>134865서울특별시 강동구 천호동 ***번지서울특별시 강동구 구천면로**길 **-* (천호동)<NA>임마누엘2003-02-06 13:33:21I2018-08-31 23:59:59.0<NA>211824.776989448968.683316출판사출판인쇄업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
11313240000CDFG12510020240000132024-03-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 상일동 *** 고덕아르테온서울특별시 강동구 고덕로 ***, ***동 ****호 (상일동, 고덕아르테온)05274텍스트공방2024-03-20 15:16:47I2023-12-02 22:02:00.0<NA>214844.69153450341.891484<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>
11323240000CDFG12510020240000142024-04-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 암사동 ***-* 강동 롯데캐슬퍼스트아파트서울특별시 강동구 고덕로 ***, ***동 ****호 (암사동, 강동 롯데캐슬퍼스트아파트)05236Pearls Story2024-04-09 14:51:37I2023-12-03 23:01:00.0<NA>212480.463676450472.374955<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>
11333240000CDFG12510020240000152024-04-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 고덕동 ***-* 강동U*센터서울특별시 강동구 고덕비즈밸리로 **, 강동U*센터 A동 ****호 (고덕동)05203행복한 교육2024-04-11 10:36:48I2023-12-03 23:04:00.0<NA>214075.140423451485.809606<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>
11343240000CDFG12510020240000162001-07-03<NA>1영업/정상13영업중<NA><NA><NA><NA>564-8070<NA><NA>서울특별시 강동구 고덕동 ***-* 강동U*센터서울특별시 강동구 고덕비즈밸리로 **, 강동U*센터 **층 b-****호 (고덕동)05203(주)예장출판사2024-04-12 13:47:30I2023-12-03 23:04:00.0<NA>214075.140423451485.809606<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>
11353240000CDFG12510020240000172016-07-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 고덕동 ***-* 강동U*센터서울특별시 강동구 고덕비즈밸리로 **, 강동U*센터 B동 ****호 (고덕동)05203더바이블2024-04-12 13:19:36I2023-12-03 23:04:00.0<NA>214075.140423451485.809606<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>
11363240000CDFG12510020240000182022-10-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 ***-* 천호역 한강 청년주택서울특별시 강동구 천호대로 ***, 천호역 한강 청년주택 *층 ***호 (천호동, 천호역 한강 청년주택)05248주식회사 아이뉴얼2024-04-15 11:14:36I2023-12-03 23:07:00.0<NA>210747.029242448585.11433<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>
11373240000CDFG12510020240000192007-02-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 ***-*서울특별시 강동구 풍성로**길 **, ***호 (성내동)05376국민안전교육연구소2024-04-26 12:41:47I2023-12-03 22:08:00.0<NA>211931.692044447650.397313<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>
11383240000CDFG12510020240000202014-08-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 ***-** 아이퍼스트빌서울특별시 강동구 천호대로***길 **, **층 ****호 (성내동, 아이퍼스트빌)05373숨은원리2024-04-29 17:35:30I2023-12-05 00:01:00.0<NA>211820.68771448010.467424<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>
11393240000CDFG12510020240000212011-06-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 길동 ***-* 현대웰하임*단지서울특별시 강동구 천중로**길 *, ***호 (길동, 현대웰하임*단지)05304직성한자2024-05-01 11:20:14I2023-12-05 00:03:00.0<NA>212786.400674448766.474544<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>
11403240000CDFG12510020240000222021-04-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 ***-**서울특별시 강동구 풍성로 ***-*, 지하*층 **호 (성내동)05390press tac!2024-05-08 12:58:59I2023-12-04 23:00:00.0<NA>211572.950699447608.079925<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>