Overview

Dataset statistics

Number of variables56
Number of observations2074
Missing cells51916
Missing cells (%)44.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory982.4 KiB
Average record size in memory485.1 B

Variable types

Categorical18
Text8
DateTime4
Numeric4
Unsupported22

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
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-17853/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (99.4%)Imbalance
영업상태코드 is highly imbalanced (55.6%)Imbalance
영업상태명 is highly imbalanced (55.6%)Imbalance
상세영업상태명 is highly imbalanced (70.0%)Imbalance
총층수 is highly imbalanced (78.6%)Imbalance
주변환경명 is highly imbalanced (97.1%)Imbalance
지상층수 is highly imbalanced (78.6%)Imbalance
지하층수 is highly imbalanced (66.6%)Imbalance
건물용도명 is highly imbalanced (81.4%)Imbalance
폐업일자 has 1577 (76.0%) missing valuesMissing
휴업시작일자 has 2074 (100.0%) missing valuesMissing
휴업종료일자 has 2074 (100.0%) missing valuesMissing
재개업일자 has 2074 (100.0%) missing valuesMissing
전화번호 has 249 (12.0%) missing valuesMissing
소재지면적 has 2074 (100.0%) missing valuesMissing
소재지우편번호 has 609 (29.4%) missing valuesMissing
도로명주소 has 204 (9.8%) missing valuesMissing
도로명우편번호 has 1160 (55.9%) missing valuesMissing
업태구분명 has 2074 (100.0%) missing valuesMissing
좌표정보(X) has 88 (4.2%) missing valuesMissing
좌표정보(Y) has 88 (4.2%) missing valuesMissing
제작취급품목내용 has 2074 (100.0%) missing valuesMissing
시설면적 has 245 (11.8%) missing valuesMissing
비상계단여부 has 2074 (100.0%) missing valuesMissing
비상구여부 has 2074 (100.0%) missing valuesMissing
자동환기여부 has 2074 (100.0%) missing valuesMissing
청소년실여부 has 2074 (100.0%) missing valuesMissing
특수조명여부 has 2074 (100.0%) missing valuesMissing
방음시설여부 has 2074 (100.0%) missing valuesMissing
비디오재생기명 has 2074 (100.0%) missing valuesMissing
조명시설유무 has 2074 (100.0%) missing valuesMissing
음향시설여부 has 2074 (100.0%) missing valuesMissing
편의시설여부 has 2074 (100.0%) missing valuesMissing
소방시설여부 has 2074 (100.0%) missing valuesMissing
기존게임업외업종명 has 2074 (100.0%) missing valuesMissing
제공게임물명 has 2074 (100.0%) missing valuesMissing
공연장형태구분명 has 2074 (100.0%) missing valuesMissing
품목명 has 2074 (100.0%) missing valuesMissing
최초등록시점 has 2074 (100.0%) missing valuesMissing
지역구분명 has 2068 (99.7%) missing valuesMissing
좌표정보(Y) is highly skewed (γ1 = -39.46903249)Skewed
시설면적 is highly skewed (γ1 = 39.4289143)Skewed
관리번호 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 1819 (87.7%) zerosZeros

Reproduction

Analysis started2024-05-11 01:33:44.194057
Analysis finished2024-05-11 01:33:46.802045
Duration2.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
3010000
2074 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 2074
100.0%

Length

2024-05-11T01:33:46.990927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:33:47.418532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 2074
100.0%

관리번호
Text

UNIQUE 

Distinct2074
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
2024-05-11T01:33:48.026990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters41480
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

Unique2074 ?
Unique (%)100.0%

Sample

1st rowCDFG1252001953000001
2nd rowCDFG1252001961000001
3rd rowCDFG1252001963000001
4th rowCDFG1252001964000001
5th rowCDFG1252001965000001
ValueCountFrequency (%)
cdfg1252001953000001 1
 
< 0.1%
cdfg1252002011000046 1
 
< 0.1%
cdfg1252002011000076 1
 
< 0.1%
cdfg1252002011000075 1
 
< 0.1%
cdfg1252002011000074 1
 
< 0.1%
cdfg1252002011000073 1
 
< 0.1%
cdfg1252002011000072 1
 
< 0.1%
cdfg1252002011000071 1
 
< 0.1%
cdfg1252002011000070 1
 
< 0.1%
cdfg1252002011000069 1
 
< 0.1%
Other values (2064) 2064
99.5%
2024-05-11T01:33:49.168979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 15306
36.9%
2 6501
15.7%
1 4179
 
10.1%
5 2681
 
6.5%
C 2074
 
5.0%
D 2074
 
5.0%
F 2074
 
5.0%
G 2074
 
5.0%
9 1516
 
3.7%
3 703
 
1.7%
Other values (4) 2298
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33184
80.0%
Uppercase Letter 8296
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 15306
46.1%
2 6501
19.6%
1 4179
 
12.6%
5 2681
 
8.1%
9 1516
 
4.6%
3 703
 
2.1%
6 601
 
1.8%
4 593
 
1.8%
8 566
 
1.7%
7 538
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
C 2074
25.0%
D 2074
25.0%
F 2074
25.0%
G 2074
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33184
80.0%
Latin 8296
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 15306
46.1%
2 6501
19.6%
1 4179
 
12.6%
5 2681
 
8.1%
9 1516
 
4.6%
3 703
 
2.1%
6 601
 
1.8%
4 593
 
1.8%
8 566
 
1.7%
7 538
 
1.6%
Latin
ValueCountFrequency (%)
C 2074
25.0%
D 2074
25.0%
F 2074
25.0%
G 2074
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41480
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 15306
36.9%
2 6501
15.7%
1 4179
 
10.1%
5 2681
 
6.5%
C 2074
 
5.0%
D 2074
 
5.0%
F 2074
 
5.0%
G 2074
 
5.0%
9 1516
 
3.7%
3 703
 
1.7%
Other values (4) 2298
 
5.5%

인허가일자
Date

Distinct1632
Distinct (%)78.7%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
Minimum1953-01-19 00:00:00
Maximum2024-05-03 00:00:00
2024-05-11T01:33:50.068130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:33:50.616585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
<NA>
2073 
20130628
 
1

Length

Max length8
Median length4
Mean length4.0019286
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> 2073
> 99.9%
20130628 1
 
< 0.1%

Length

2024-05-11T01:33:51.221782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:33:51.753722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2073
> 99.9%
20130628 1
 
< 0.1%

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
1
1556 
3
495 
5
 
12
4
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 1556
75.0%
3 495
 
23.9%
5 12
 
0.6%
4 11
 
0.5%

Length

2024-05-11T01:33:52.327585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:33:52.770645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1556
75.0%
3 495
 
23.9%
5 12
 
0.6%
4 11
 
0.5%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
영업/정상
1556 
폐업
495 
제외/삭제/전출
 
12
취소/말소/만료/정지/중지
 
11

Length

Max length14
Median length5
Mean length4.3490839
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 1556
75.0%
폐업 495
 
23.9%
제외/삭제/전출 12
 
0.6%
취소/말소/만료/정지/중지 11
 
0.5%

Length

2024-05-11T01:33:53.252417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:33:53.745945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 1556
75.0%
폐업 495
 
23.9%
제외/삭제/전출 12
 
0.6%
취소/말소/만료/정지/중지 11
 
0.5%

상세영업상태코드
Real number (ℝ)

Distinct8
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.72758
Minimum3
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.4 KiB
2024-05-11T01:33:54.143136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q113
median13
Q313
95-th percentile13
Maximum35
Range32
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.5516324
Coefficient of variation (CV)0.42429258
Kurtosis1.7806696
Mean10.72758
Median Absolute Deviation (MAD)0
Skewness-0.50043354
Sum22249
Variance20.717358
MonotonicityNot monotonic
2024-05-11T01:33:54.622107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
13 1555
75.0%
3 495
 
23.9%
15 12
 
0.6%
32 7
 
0.3%
35 2
 
0.1%
30 1
 
< 0.1%
14 1
 
< 0.1%
31 1
 
< 0.1%
ValueCountFrequency (%)
3 495
 
23.9%
13 1555
75.0%
14 1
 
< 0.1%
15 12
 
0.6%
30 1
 
< 0.1%
31 1
 
< 0.1%
32 7
 
0.3%
35 2
 
0.1%
ValueCountFrequency (%)
35 2
 
0.1%
32 7
 
0.3%
31 1
 
< 0.1%
30 1
 
< 0.1%
15 12
 
0.6%
14 1
 
< 0.1%
13 1555
75.0%
3 495
 
23.9%

상세영업상태명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
영업중
1555 
폐업
495 
전출
 
12
신고취소
 
7
직권말소
 
2
Other values (3)
 
3

Length

Max length4
Median length3
Mean length2.7603664
Min length2

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 1555
75.0%
폐업 495
 
23.9%
전출 12
 
0.6%
신고취소 7
 
0.3%
직권말소 2
 
0.1%
허가취소 1
 
< 0.1%
전입 1
 
< 0.1%
등록취소 1
 
< 0.1%

Length

2024-05-11T01:33:55.250190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:33:55.738378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 1555
75.0%
폐업 495
 
23.9%
전출 12
 
0.6%
신고취소 7
 
0.3%
직권말소 2
 
0.1%
허가취소 1
 
< 0.1%
전입 1
 
< 0.1%
등록취소 1
 
< 0.1%

폐업일자
Date

MISSING 

Distinct427
Distinct (%)85.9%
Missing1577
Missing (%)76.0%
Memory size16.3 KiB
Minimum1996-04-13 00:00:00
Maximum2024-04-01 00:00:00
2024-05-11T01:33:56.311532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:33:56.977607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2074
Missing (%)100.0%
Memory size18.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2074
Missing (%)100.0%
Memory size18.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2074
Missing (%)100.0%
Memory size18.4 KiB

전화번호
Text

MISSING 

Distinct1763
Distinct (%)96.6%
Missing249
Missing (%)12.0%
Memory size16.3 KiB
2024-05-11T01:33:57.776750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length10.543014
Min length2

Characters and Unicode

Total characters19241
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

Unique1705 ?
Unique (%)93.4%

Sample

1st row269-9158
2nd row776-0772
3rd row2266-8668
4th row392-0671
5th row777-5888
ValueCountFrequency (%)
02-2275-7490 3
 
0.2%
02-2269-4843 3
 
0.2%
02-2271-2526 3
 
0.2%
02-2275-5326 3
 
0.2%
02-2279-4321 2
 
0.1%
02-2285-3366 2
 
0.1%
02-2278-4034 2
 
0.1%
2263-6949 2
 
0.1%
02-712-3456 2
 
0.1%
02-2269-8620 2
 
0.1%
Other values (1753) 1801
98.7%
2024-05-11T01:33:59.227188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 4890
25.4%
- 2857
14.8%
7 2017
10.5%
0 2001
10.4%
6 1548
 
8.0%
3 1064
 
5.5%
5 1054
 
5.5%
1 1017
 
5.3%
8 994
 
5.2%
4 950
 
4.9%
Other values (4) 849
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16365
85.1%
Dash Punctuation 2857
 
14.8%
Math Symbol 9
 
< 0.1%
Close Punctuation 9
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 4890
29.9%
7 2017
12.3%
0 2001
12.2%
6 1548
 
9.5%
3 1064
 
6.5%
5 1054
 
6.4%
1 1017
 
6.2%
8 994
 
6.1%
4 950
 
5.8%
9 830
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 2857
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19241
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 4890
25.4%
- 2857
14.8%
7 2017
10.5%
0 2001
10.4%
6 1548
 
8.0%
3 1064
 
5.5%
5 1054
 
5.5%
1 1017
 
5.3%
8 994
 
5.2%
4 950
 
4.9%
Other values (4) 849
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19241
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 4890
25.4%
- 2857
14.8%
7 2017
10.5%
0 2001
10.4%
6 1548
 
8.0%
3 1064
 
5.5%
5 1054
 
5.5%
1 1017
 
5.3%
8 994
 
5.2%
4 950
 
4.9%
Other values (4) 849
 
4.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2074
Missing (%)100.0%
Memory size18.4 KiB

소재지우편번호
Text

MISSING 

Distinct99
Distinct (%)6.8%
Missing609
Missing (%)29.4%
Memory size16.3 KiB
2024-05-11T01:33:59.836590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0177474
Min length6

Characters and Unicode

Total characters8816
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

Unique42 ?
Unique (%)2.9%

Sample

1st row100281
2nd row100809
3rd row100380
4th row100371
5th row100802
ValueCountFrequency (%)
100282 175
 
11.9%
100281 168
 
11.5%
100300 111
 
7.6%
100272 91
 
6.2%
100310 66
 
4.5%
100015 61
 
4.2%
100273 61
 
4.2%
100846 57
 
3.9%
100032 55
 
3.8%
100193 47
 
3.2%
Other values (89) 573
39.1%
2024-05-11T01:34:01.306777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3607
40.9%
1 2021
22.9%
2 989
 
11.2%
8 680
 
7.7%
3 500
 
5.7%
4 251
 
2.8%
7 222
 
2.5%
6 216
 
2.5%
9 155
 
1.8%
5 149
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8790
99.7%
Dash Punctuation 26
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3607
41.0%
1 2021
23.0%
2 989
 
11.3%
8 680
 
7.7%
3 500
 
5.7%
4 251
 
2.9%
7 222
 
2.5%
6 216
 
2.5%
9 155
 
1.8%
5 149
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8816
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3607
40.9%
1 2021
22.9%
2 989
 
11.2%
8 680
 
7.7%
3 500
 
5.7%
4 251
 
2.8%
7 222
 
2.5%
6 216
 
2.5%
9 155
 
1.8%
5 149
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8816
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3607
40.9%
1 2021
22.9%
2 989
 
11.2%
8 680
 
7.7%
3 500
 
5.7%
4 251
 
2.8%
7 222
 
2.5%
6 216
 
2.5%
9 155
 
1.8%
5 149
 
1.7%

지번주소
Text

Distinct760
Distinct (%)36.6%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
2024-05-11T01:34:02.020507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length38
Mean length23.463838
Min length12

Characters and Unicode

Total characters48664
Distinct characters260
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

Unique563 ?
Unique (%)27.1%

Sample

1st row서울특별시 중구 인현동*가 ***번지
2nd row서울특별시 중구 명동*가 *번지
3rd row서울특별시 중구 묵정동 **-**번지
4th row서울특별시 중구 만리동*가 **-*번지
5th row서울특별시 중구 남대문로*가 ***번지
ValueCountFrequency (%)
서울특별시 2071
22.3%
중구 2070
22.3%
번지 1686
18.1%
인현동*가 457
 
4.9%
392
 
4.2%
충무로*가 373
 
4.0%
을지로*가 308
 
3.3%
필동*가 287
 
3.1%
층 253
 
2.7%
초동 172
 
1.9%
Other values (379) 1228
13.2%
2024-05-11T01:34:03.631712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 9782
20.1%
8995
18.5%
시 2107
 
4.3%
중 2093
 
4.3%
서 2086
 
4.3%
별 2081
 
4.3%
울 2079
 
4.3%
구 2077
 
4.3%
특 2074
 
4.3%
지 2068
 
4.2%
Other values (250) 13222
27.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27906
57.3%
Other Punctuation 9807
 
20.2%
Space Separator 8995
 
18.5%
Dash Punctuation 1784
 
3.7%
Close Punctuation 47
 
0.1%
Uppercase Letter 47
 
0.1%
Open Punctuation 46
 
0.1%
Decimal Number 21
 
< 0.1%
Lowercase Letter 7
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 2107
 
7.6%
중 2093
 
7.5%
서 2086
 
7.5%
별 2081
 
7.5%
울 2079
 
7.5%
구 2077
 
7.4%
특 2074
 
7.4%
지 2068
 
7.4%
번 1686
 
6.0%
가 1601
 
5.7%
Other values (208) 7954
28.5%
Uppercase Letter
ValueCountFrequency (%)
B 14
29.8%
L 6
12.8%
S 4
 
8.5%
Y 4
 
8.5%
T 3
 
6.4%
I 3
 
6.4%
E 2
 
4.3%
C 2
 
4.3%
A 2
 
4.3%
G 1
 
2.1%
Other values (6) 6
12.8%
Decimal Number
ValueCountFrequency (%)
2 4
19.0%
1 4
19.0%
5 3
14.3%
9 2
9.5%
7 2
9.5%
3 2
9.5%
8 1
 
4.8%
6 1
 
4.8%
4 1
 
4.8%
0 1
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
e 2
28.6%
g 1
14.3%
a 1
14.3%
t 1
14.3%
i 1
14.3%
r 1
14.3%
Other Punctuation
ValueCountFrequency (%)
* 9782
99.7%
, 18
 
0.2%
/ 6
 
0.1%
. 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 46
97.9%
] 1
 
2.1%
Space Separator
ValueCountFrequency (%)
8995
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1784
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27906
57.3%
Common 20704
42.5%
Latin 54
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 2107
 
7.6%
중 2093
 
7.5%
서 2086
 
7.5%
별 2081
 
7.5%
울 2079
 
7.5%
구 2077
 
7.4%
특 2074
 
7.4%
지 2068
 
7.4%
번 1686
 
6.0%
가 1601
 
5.7%
Other values (208) 7954
28.5%
Latin
ValueCountFrequency (%)
B 14
25.9%
L 6
11.1%
S 4
 
7.4%
Y 4
 
7.4%
T 3
 
5.6%
I 3
 
5.6%
E 2
 
3.7%
C 2
 
3.7%
e 2
 
3.7%
A 2
 
3.7%
Other values (12) 12
22.2%
Common
ValueCountFrequency (%)
* 9782
47.2%
8995
43.4%
- 1784
 
8.6%
) 46
 
0.2%
( 46
 
0.2%
, 18
 
0.1%
/ 6
 
< 0.1%
2 4
 
< 0.1%
~ 4
 
< 0.1%
1 4
 
< 0.1%
Other values (10) 15
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27906
57.3%
ASCII 20758
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 9782
47.1%
8995
43.3%
- 1784
 
8.6%
) 46
 
0.2%
( 46
 
0.2%
, 18
 
0.1%
B 14
 
0.1%
/ 6
 
< 0.1%
L 6
 
< 0.1%
S 4
 
< 0.1%
Other values (32) 57
 
0.3%
Hangul
ValueCountFrequency (%)
시 2107
 
7.6%
중 2093
 
7.5%
서 2086
 
7.5%
별 2081
 
7.5%
울 2079
 
7.5%
구 2077
 
7.4%
특 2074
 
7.4%
지 2068
 
7.4%
번 1686
 
6.0%
가 1601
 
5.7%
Other values (208) 7954
28.5%

도로명주소
Text

MISSING 

Distinct1148
Distinct (%)61.4%
Missing204
Missing (%)9.8%
Memory size16.3 KiB
2024-05-11T01:34:04.459906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length49
Mean length30.328342
Min length20

Characters and Unicode

Total characters56714
Distinct characters267
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

Unique881 ?
Unique (%)47.1%

Sample

1st row서울특별시 중구 퇴계로**가길 ** (묵정동)
2nd row서울특별시 중구 만리재로 *** (만리동*가)
3rd row서울특별시 중구 세종대로*가길 ** (남대문로*가)
4th row서울특별시 중구 퇴계로**가길 ** (필동*가)
5th row서울특별시 중구 통일로*길 ** (순화동)
ValueCountFrequency (%)
1886
17.6%
서울특별시 1867
17.5%
중구 1866
17.5%
층 413
 
3.9%
인현동*가 352
 
3.3%
호 341
 
3.2%
을지로**길 323
 
3.0%
퇴계로**길 295
 
2.8%
충무로*가 287
 
2.7%
필동*가 225
 
2.1%
Other values (575) 2836
26.5%
2024-05-11T01:34:05.910538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 10220
18.0%
9631
17.0%
로 2479
 
4.4%
서 1971
 
3.5%
시 1909
 
3.4%
) 1909
 
3.4%
( 1909
 
3.4%
중 1884
 
3.3%
별 1881
 
3.3%
울 1879
 
3.3%
Other values (257) 21042
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30940
54.6%
Other Punctuation 11518
 
20.3%
Space Separator 9631
 
17.0%
Close Punctuation 1909
 
3.4%
Open Punctuation 1909
 
3.4%
Dash Punctuation 692
 
1.2%
Uppercase Letter 70
 
0.1%
Decimal Number 31
 
0.1%
Lowercase Letter 7
 
< 0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 2479
 
8.0%
서 1971
 
6.4%
시 1909
 
6.2%
중 1884
 
6.1%
별 1881
 
6.1%
울 1879
 
6.1%
구 1870
 
6.0%
특 1870
 
6.0%
가 1609
 
5.2%
동 1411
 
4.6%
Other values (217) 12177
39.4%
Uppercase Letter
ValueCountFrequency (%)
B 31
44.3%
A 9
 
12.9%
I 6
 
8.6%
T 6
 
8.6%
L 4
 
5.7%
C 2
 
2.9%
E 2
 
2.9%
S 2
 
2.9%
Y 2
 
2.9%
N 1
 
1.4%
Other values (5) 5
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 10
32.3%
1 5
16.1%
0 3
 
9.7%
5 3
 
9.7%
3 3
 
9.7%
4 2
 
6.5%
6 2
 
6.5%
7 2
 
6.5%
8 1
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
e 2
28.6%
a 1
14.3%
g 1
14.3%
t 1
14.3%
i 1
14.3%
r 1
14.3%
Other Punctuation
ValueCountFrequency (%)
* 10220
88.7%
, 1292
 
11.2%
/ 5
 
< 0.1%
. 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
9631
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1909
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1909
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 692
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30940
54.6%
Common 25697
45.3%
Latin 77
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 2479
 
8.0%
서 1971
 
6.4%
시 1909
 
6.2%
중 1884
 
6.1%
별 1881
 
6.1%
울 1879
 
6.1%
구 1870
 
6.0%
특 1870
 
6.0%
가 1609
 
5.2%
동 1411
 
4.6%
Other values (217) 12177
39.4%
Latin
ValueCountFrequency (%)
B 31
40.3%
A 9
 
11.7%
I 6
 
7.8%
T 6
 
7.8%
L 4
 
5.2%
C 2
 
2.6%
e 2
 
2.6%
E 2
 
2.6%
S 2
 
2.6%
Y 2
 
2.6%
Other values (11) 11
 
14.3%
Common
ValueCountFrequency (%)
* 10220
39.8%
9631
37.5%
) 1909
 
7.4%
( 1909
 
7.4%
, 1292
 
5.0%
- 692
 
2.7%
2 10
 
< 0.1%
~ 6
 
< 0.1%
1 5
 
< 0.1%
/ 5
 
< 0.1%
Other values (9) 18
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30940
54.6%
ASCII 25773
45.4%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 10220
39.7%
9631
37.4%
) 1909
 
7.4%
( 1909
 
7.4%
, 1292
 
5.0%
- 692
 
2.7%
B 31
 
0.1%
2 10
 
< 0.1%
A 9
 
< 0.1%
~ 6
 
< 0.1%
Other values (29) 64
 
0.2%
Hangul
ValueCountFrequency (%)
로 2479
 
8.0%
서 1971
 
6.4%
시 1909
 
6.2%
중 1884
 
6.1%
별 1881
 
6.1%
울 1879
 
6.1%
구 1870
 
6.0%
특 1870
 
6.0%
가 1609
 
5.2%
동 1411
 
4.6%
Other values (217) 12177
39.4%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

도로명우편번호
Text

MISSING 

Distinct96
Distinct (%)10.5%
Missing1160
Missing (%)55.9%
Memory size16.3 KiB
2024-05-11T01:34:06.482855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3522976
Min length5

Characters and Unicode

Total characters4892
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

Unique37 ?
Unique (%)4.0%

Sample

1st row100756
2nd row04554
3rd row04625
4th row100846
5th row100-110
ValueCountFrequency (%)
04549 71
 
7.8%
04555 59
 
6.5%
04556 57
 
6.2%
04558 54
 
5.9%
04550 50
 
5.5%
04559 49
 
5.4%
04557 43
 
4.7%
100281 39
 
4.3%
100282 35
 
3.8%
100300 33
 
3.6%
Other values (86) 424
46.4%
2024-05-11T01:34:07.886590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1450
29.6%
5 936
19.1%
4 787
16.1%
1 476
 
9.7%
2 342
 
7.0%
6 241
 
4.9%
9 173
 
3.5%
3 171
 
3.5%
8 165
 
3.4%
7 141
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4882
99.8%
Dash Punctuation 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1450
29.7%
5 936
19.2%
4 787
16.1%
1 476
 
9.8%
2 342
 
7.0%
6 241
 
4.9%
9 173
 
3.5%
3 171
 
3.5%
8 165
 
3.4%
7 141
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4892
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1450
29.6%
5 936
19.1%
4 787
16.1%
1 476
 
9.7%
2 342
 
7.0%
6 241
 
4.9%
9 173
 
3.5%
3 171
 
3.5%
8 165
 
3.4%
7 141
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4892
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1450
29.6%
5 936
19.1%
4 787
16.1%
1 476
 
9.7%
2 342
 
7.0%
6 241
 
4.9%
9 173
 
3.5%
3 171
 
3.5%
8 165
 
3.4%
7 141
 
2.9%

사업장명
Text

Distinct1983
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
2024-05-11T01:34:08.708675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length23
Mean length6.4146577
Min length2

Characters and Unicode

Total characters13304
Distinct characters502
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

Unique1902 ?
Unique (%)91.7%

Sample

1st row동아정판인쇄(주)
2nd row시사문화사(주)
3rd row동영인쇄사
4th row광명인쇄공사
5th row(주)세재문화공무국
ValueCountFrequency (%)
주식회사 147
 
6.2%
프린팅 9
 
0.4%
디자인 7
 
0.3%
사단법인 7
 
0.3%
인쇄 5
 
0.2%
커뮤니케이션 4
 
0.2%
인쇄사 4
 
0.2%
코리아 4
 
0.2%
삼정문화인쇄사 4
 
0.2%
신정문화사 4
 
0.2%
Other values (2055) 2180
91.8%
2024-05-11T01:34:09.869383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 743
 
5.6%
인 693
 
5.2%
주 566
 
4.3%
쇄 539
 
4.1%
문 446
 
3.4%
) 442
 
3.3%
( 440
 
3.3%
화 422
 
3.2%
301
 
2.3%
이 234
 
1.8%
Other values (492) 8478
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11879
89.3%
Close Punctuation 442
 
3.3%
Open Punctuation 440
 
3.3%
Space Separator 301
 
2.3%
Uppercase Letter 137
 
1.0%
Lowercase Letter 56
 
0.4%
Other Punctuation 34
 
0.3%
Decimal Number 10
 
0.1%
Dash Punctuation 4
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 743
 
6.3%
인 693
 
5.8%
주 566
 
4.8%
쇄 539
 
4.5%
문 446
 
3.8%
화 422
 
3.6%
이 234
 
2.0%
기 206
 
1.7%
디 202
 
1.7%
피 197
 
1.7%
Other values (439) 7631
64.2%
Uppercase Letter
ValueCountFrequency (%)
P 26
19.0%
C 17
12.4%
D 11
 
8.0%
M 11
 
8.0%
O 9
 
6.6%
S 8
 
5.8%
A 7
 
5.1%
T 7
 
5.1%
N 7
 
5.1%
K 6
 
4.4%
Other values (12) 28
20.4%
Lowercase Letter
ValueCountFrequency (%)
n 10
17.9%
i 7
12.5%
a 7
12.5%
o 6
10.7%
r 3
 
5.4%
c 3
 
5.4%
p 3
 
5.4%
t 3
 
5.4%
e 2
 
3.6%
y 2
 
3.6%
Other values (8) 10
17.9%
Other Punctuation
ValueCountFrequency (%)
. 17
50.0%
& 11
32.4%
, 5
 
14.7%
? 1
 
2.9%
Decimal Number
ValueCountFrequency (%)
1 4
40.0%
2 3
30.0%
3 2
20.0%
4 1
 
10.0%
Close Punctuation
ValueCountFrequency (%)
) 442
100.0%
Open Punctuation
ValueCountFrequency (%)
( 440
100.0%
Space Separator
ValueCountFrequency (%)
301
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11876
89.3%
Common 1232
 
9.3%
Latin 193
 
1.5%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 743
 
6.3%
인 693
 
5.8%
주 566
 
4.8%
쇄 539
 
4.5%
문 446
 
3.8%
화 422
 
3.6%
이 234
 
2.0%
기 206
 
1.7%
디 202
 
1.7%
피 197
 
1.7%
Other values (436) 7628
64.2%
Latin
ValueCountFrequency (%)
P 26
 
13.5%
C 17
 
8.8%
D 11
 
5.7%
M 11
 
5.7%
n 10
 
5.2%
O 9
 
4.7%
S 8
 
4.1%
i 7
 
3.6%
A 7
 
3.6%
T 7
 
3.6%
Other values (30) 80
41.5%
Common
ValueCountFrequency (%)
) 442
35.9%
( 440
35.7%
301
24.4%
. 17
 
1.4%
& 11
 
0.9%
, 5
 
0.4%
1 4
 
0.3%
- 4
 
0.3%
2 3
 
0.2%
3 2
 
0.2%
Other values (3) 3
 
0.2%
Han
ValueCountFrequency (%)
通 1
33.3%
珉 1
33.3%
榮 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11876
89.3%
ASCII 1425
 
10.7%
CJK 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 743
 
6.3%
인 693
 
5.8%
주 566
 
4.8%
쇄 539
 
4.5%
문 446
 
3.8%
화 422
 
3.6%
이 234
 
2.0%
기 206
 
1.7%
디 202
 
1.7%
피 197
 
1.7%
Other values (436) 7628
64.2%
ASCII
ValueCountFrequency (%)
) 442
31.0%
( 440
30.9%
301
21.1%
P 26
 
1.8%
C 17
 
1.2%
. 17
 
1.2%
D 11
 
0.8%
& 11
 
0.8%
M 11
 
0.8%
n 10
 
0.7%
Other values (43) 139
 
9.8%
CJK
ValueCountFrequency (%)
通 1
33.3%
珉 1
33.3%
榮 1
33.3%

최종수정일자
Date

Distinct1686
Distinct (%)81.3%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
Minimum2003-05-06 11:23:16
Maximum2024-05-03 17:49:47
2024-05-11T01:34:10.282107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:34:10.726936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
I
1673 
U
401 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1673
80.7%
U 401
 
19.3%

Length

2024-05-11T01:34:11.185369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:34:11.509591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1673
80.7%
u 401
 
19.3%

데이터갱신일자
Date

Distinct390
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T01:34:11.816068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:34:12.223712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2074
Missing (%)100.0%
Memory size18.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1049
Distinct (%)52.8%
Missing88
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean199494.34
Minimum190828.27
Maximum218097.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.4 KiB
2024-05-11T01:34:12.781595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190828.27
5-th percentile199025.83
Q1199267.64
median199458.38
Q3199663.99
95-th percentile200183.19
Maximum218097.42
Range27269.147
Interquartile range (IQR)396.34468

Descriptive statistics

Standard deviation754.55896
Coefficient of variation (CV)0.0037823577
Kurtosis271.39849
Mean199494.34
Median Absolute Deviation (MAD)197.6037
Skewness9.5770312
Sum3.9619576 × 108
Variance569359.23
MonotonicityNot monotonic
2024-05-11T01:34:13.304548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
199269.407920007 37
 
1.8%
199559.81287492 17
 
0.8%
199397.013822421 13
 
0.6%
199115.162515675 13
 
0.6%
199320.990837164 12
 
0.6%
199382.955486585 11
 
0.5%
199211.962993631 11
 
0.5%
199733.225714011 11
 
0.5%
199541.76831886 10
 
0.5%
199379.143195882 10
 
0.5%
Other values (1039) 1841
88.8%
(Missing) 88
 
4.2%
ValueCountFrequency (%)
190828.268143013 1
< 0.1%
191236.433999404 1
< 0.1%
196850.335077763 1
< 0.1%
196948.933328771 1
< 0.1%
197016.045805141 1
< 0.1%
197032.923485936 2
0.1%
197034.02843741 2
0.1%
197038.995249839 1
< 0.1%
197082.232961846 1
< 0.1%
197164.226466038 1
< 0.1%
ValueCountFrequency (%)
218097.415070925 1
< 0.1%
214049.542289229 1
< 0.1%
201812.79138333 1
< 0.1%
201742.972043744 1
< 0.1%
201719.667606366 1
< 0.1%
201718.508091685 1
< 0.1%
201518.354245777 1
< 0.1%
201467.790455905 1
< 0.1%
201458.542437526 1
< 0.1%
201383.897771611 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING  SKEWED 

Distinct1049
Distinct (%)52.8%
Missing88
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean451170.88
Minimum333790.42
Maximum478313.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.4 KiB
2024-05-11T01:34:13.753775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum333790.42
5-th percentile450721.17
Q1451112.1
median451265.36
Q3451429.09
95-th percentile451532.96
Maximum478313.74
Range144523.32
Interquartile range (IQR)316.99644

Descriptive statistics

Standard deviation2733.8649
Coefficient of variation (CV)0.0060594887
Kurtosis1719.3295
Mean451170.88
Median Absolute Deviation (MAD)159.32222
Skewness-39.469032
Sum8.9602537 × 108
Variance7474017.2
MonotonicityNot monotonic
2024-05-11T01:34:14.311476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451282.308761837 37
 
1.8%
451275.242508566 17
 
0.8%
451070.763689185 13
 
0.6%
451501.106828934 13
 
0.6%
451501.209707641 12
 
0.6%
451084.382659701 11
 
0.5%
451278.976943232 11
 
0.5%
451140.879758189 11
 
0.5%
450792.116073306 10
 
0.5%
451444.955692254 10
 
0.5%
Other values (1039) 1841
88.8%
(Missing) 88
 
4.2%
ValueCountFrequency (%)
333790.415158799 1
< 0.1%
439145.337448008 1
< 0.1%
445548.79737092 1
< 0.1%
449638.824308081 1
< 0.1%
449825.425393315 1
< 0.1%
450051.889119982 1
< 0.1%
450103.32103304 2
0.1%
450249.97834196 2
0.1%
450289.83533661 1
< 0.1%
450305.644873169 2
0.1%
ValueCountFrequency (%)
478313.73969827 1
< 0.1%
451908.773811626 1
< 0.1%
451827.081005774 1
< 0.1%
451823.532462914 1
< 0.1%
451778.205212823 1
< 0.1%
451765.426505347 1
< 0.1%
451753.046089645 1
< 0.1%
451742.363666667 2
0.1%
451713.70616392 1
< 0.1%
451705.253736867 1
< 0.1%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
인쇄사
1829 
<NA>
245 

Length

Max length4
Median length3
Mean length3.1181292
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인쇄사 1829
88.2%
<NA> 245
 
11.8%

Length

2024-05-11T01:34:14.902758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:34:15.273655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인쇄사 1829
88.2%
na 245
 
11.8%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
출판인쇄업
1829 
<NA>
245 

Length

Max length5
Median length5
Mean length4.8818708
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판인쇄업 1829
88.2%
<NA> 245
 
11.8%

Length

2024-05-11T01:34:15.779231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:34:16.538770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 1829
88.2%
na 245
 
11.8%

총층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
0
1824 
<NA>
245 
1
 
2
7
 
1
3
 
1

Length

Max length4
Median length1
Mean length1.3543877
Min length1

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1824
87.9%
<NA> 245
 
11.8%
1 2
 
0.1%
7 1
 
< 0.1%
3 1
 
< 0.1%
2 1
 
< 0.1%

Length

2024-05-11T01:34:17.262355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:34:17.688706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1824
87.9%
na 245
 
11.8%
1 2
 
0.1%
7 1
 
< 0.1%
3 1
 
< 0.1%
2 1
 
< 0.1%

주변환경명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
<NA>
2068 
기타
 
6

Length

Max length4
Median length4
Mean length3.9942141
Min length2

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> 2068
99.7%
기타 6
 
0.3%

Length

2024-05-11T01:34:18.314180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:34:18.713752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2068
99.7%
기타 6
 
0.3%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2074
Missing (%)100.0%
Memory size18.4 KiB

시설면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct11
Distinct (%)0.6%
Missing245
Missing (%)11.8%
Infinite0
Infinite (%)0.0%
Mean1.4189995
Minimum0
Maximum1636
Zeros1819
Zeros (%)87.7%
Negative0
Negative (%)0.0%
Memory size18.4 KiB
2024-05-11T01:34:19.176682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1636
Range1636
Interquartile range (IQR)0

Descriptive statistics

Standard deviation39.381494
Coefficient of variation (CV)27.753001
Kurtosis1627.2629
Mean1.4189995
Median Absolute Deviation (MAD)0
Skewness39.428914
Sum2595.35
Variance1550.902
MonotonicityNot monotonic
2024-05-11T01:34:19.714948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 1819
87.7%
24.0 1
 
< 0.1%
183.0 1
 
< 0.1%
204.0 1
 
< 0.1%
198.0 1
 
< 0.1%
72.0 1
 
< 0.1%
18.0 1
 
< 0.1%
198.35 1
 
< 0.1%
48.0 1
 
< 0.1%
14.0 1
 
< 0.1%
(Missing) 245
 
11.8%
ValueCountFrequency (%)
0.0 1819
87.7%
14.0 1
 
< 0.1%
18.0 1
 
< 0.1%
24.0 1
 
< 0.1%
48.0 1
 
< 0.1%
72.0 1
 
< 0.1%
183.0 1
 
< 0.1%
198.0 1
 
< 0.1%
198.35 1
 
< 0.1%
204.0 1
 
< 0.1%
ValueCountFrequency (%)
1636.0 1
< 0.1%
204.0 1
< 0.1%
198.35 1
< 0.1%
198.0 1
< 0.1%
183.0 1
< 0.1%
72.0 1
< 0.1%
48.0 1
< 0.1%
24.0 1
< 0.1%
18.0 1
< 0.1%
14.0 1
< 0.1%

지상층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
0
1824 
<NA>
245 
1
 
2
5
 
1
3
 
1

Length

Max length4
Median length1
Mean length1.3543877
Min length1

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1824
87.9%
<NA> 245
 
11.8%
1 2
 
0.1%
5 1
 
< 0.1%
3 1
 
< 0.1%
2 1
 
< 0.1%

Length

2024-05-11T01:34:20.288419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:34:20.845084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1824
87.9%
na 245
 
11.8%
1 2
 
0.1%
5 1
 
< 0.1%
3 1
 
< 0.1%
2 1
 
< 0.1%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
0
1828 
<NA>
245 
2
 
1

Length

Max length4
Median length1
Mean length1.3543877
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1828
88.1%
<NA> 245
 
11.8%
2 1
 
< 0.1%

Length

2024-05-11T01:34:21.476105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:34:21.868861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1828
88.1%
na 245
 
11.8%
2 1
 
< 0.1%

건물용도명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
<NA>
1968 
근린생활시설
 
105
생산시설
 
1

Length

Max length6
Median length4
Mean length4.1012536
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> 1968
94.9%
근린생활시설 105
 
5.1%
생산시설 1
 
< 0.1%

Length

2024-05-11T01:34:22.350080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:34:22.922526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1968
94.9%
근린생활시설 105
 
5.1%
생산시설 1
 
< 0.1%

통로너비
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
0
1829 
<NA>
245 

Length

Max length4
Median length1
Mean length1.3543877
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1829
88.2%
<NA> 245
 
11.8%

Length

2024-05-11T01:34:23.463191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:34:23.991948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1829
88.2%
na 245
 
11.8%

조명시설조도
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
0
1829 
<NA>
245 

Length

Max length4
Median length1
Mean length1.3543877
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1829
88.2%
<NA> 245
 
11.8%

Length

2024-05-11T01:34:24.511241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:34:24.979205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1829
88.2%
na 245
 
11.8%

노래방실수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
0
1829 
<NA>
245 

Length

Max length4
Median length1
Mean length1.3543877
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1829
88.2%
<NA> 245
 
11.8%

Length

2024-05-11T01:34:25.328948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:34:25.688316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1829
88.2%
na 245
 
11.8%

청소년실수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
0
1829 
<NA>
245 

Length

Max length4
Median length1
Mean length1.3543877
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1829
88.2%
<NA> 245
 
11.8%

Length

2024-05-11T01:34:26.198472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:34:26.523957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1829
88.2%
na 245
 
11.8%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2074
Missing (%)100.0%
Memory size18.4 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2074
Missing (%)100.0%
Memory size18.4 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2074
Missing (%)100.0%
Memory size18.4 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2074
Missing (%)100.0%
Memory size18.4 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2074
Missing (%)100.0%
Memory size18.4 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2074
Missing (%)100.0%
Memory size18.4 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2074
Missing (%)100.0%
Memory size18.4 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2074
Missing (%)100.0%
Memory size18.4 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2074
Missing (%)100.0%
Memory size18.4 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2074
Missing (%)100.0%
Memory size18.4 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2074
Missing (%)100.0%
Memory size18.4 KiB

총게임기수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.3 KiB
0
1829 
<NA>
245 

Length

Max length4
Median length1
Mean length1.3543877
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1829
88.2%
<NA> 245
 
11.8%

Length

2024-05-11T01:34:26.896658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:34:27.399942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1829
88.2%
na 245
 
11.8%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2074
Missing (%)100.0%
Memory size18.4 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2074
Missing (%)100.0%
Memory size18.4 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2074
Missing (%)100.0%
Memory size18.4 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2074
Missing (%)100.0%
Memory size18.4 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2074
Missing (%)100.0%
Memory size18.4 KiB

지역구분명
Text

MISSING 

Distinct4
Distinct (%)66.7%
Missing2068
Missing (%)99.7%
Memory size16.3 KiB
2024-05-11T01:34:27.751445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.8333333
Min length5

Characters and Unicode

Total characters35
Distinct characters12
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

Unique3 ?
Unique (%)50.0%

Sample

1st row일반상업지역
2nd row일반상업지역
3rd row근린상업지역
4th row준주거지역
5th row일반상업지역
ValueCountFrequency (%)
일반상업지역 3
50.0%
근린상업지역 1
 
16.7%
준주거지역 1
 
16.7%
일반공업지역 1
 
16.7%
2024-05-11T01:34:28.746838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 6
17.1%
역 6
17.1%
업 5
14.3%
일 4
11.4%
반 4
11.4%
상 4
11.4%
근 1
 
2.9%
린 1
 
2.9%
준 1
 
2.9%
주 1
 
2.9%
Other values (2) 2
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 6
17.1%
역 6
17.1%
업 5
14.3%
일 4
11.4%
반 4
11.4%
상 4
11.4%
근 1
 
2.9%
린 1
 
2.9%
준 1
 
2.9%
주 1
 
2.9%
Other values (2) 2
 
5.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 6
17.1%
역 6
17.1%
업 5
14.3%
일 4
11.4%
반 4
11.4%
상 4
11.4%
근 1
 
2.9%
린 1
 
2.9%
준 1
 
2.9%
주 1
 
2.9%
Other values (2) 2
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 6
17.1%
역 6
17.1%
업 5
14.3%
일 4
11.4%
반 4
11.4%
상 4
11.4%
근 1
 
2.9%
린 1
 
2.9%
준 1
 
2.9%
주 1
 
2.9%
Other values (2) 2
 
5.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03010000CDFG125200195300000119530119<NA>1영업/정상13영업중<NA><NA><NA><NA>269-9158<NA>100281서울특별시 중구 인현동*가 ***번지<NA><NA>동아정판인쇄(주)2003-05-06 11:23:16I2018-08-31 23:59:59.0<NA><NA><NA>인쇄사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
13010000CDFG125200196100000119610731<NA>1영업/정상13영업중<NA><NA><NA><NA>776-0772<NA>100809서울특별시 중구 명동*가 *번지<NA><NA>시사문화사(주)2003-05-06 11:23:16I2018-08-31 23:59:59.0<NA><NA><NA>인쇄사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
23010000CDFG125200196300000119630327<NA>1영업/정상13영업중<NA><NA><NA><NA>2266-8668<NA>100380서울특별시 중구 묵정동 **-**번지서울특별시 중구 퇴계로**가길 ** (묵정동)<NA>동영인쇄사2003-05-06 11:23:16I2018-08-31 23:59:59.0<NA>200112.870553451015.457684인쇄사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
33010000CDFG125200196400000119641228<NA>1영업/정상13영업중<NA><NA><NA><NA>392-0671<NA>100371서울특별시 중구 만리동*가 **-*번지서울특별시 중구 만리재로 *** (만리동*가)<NA>광명인쇄공사2003-05-06 11:23:16I2018-08-31 23:59:59.0<NA>197034.028437450305.644873인쇄사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
43010000CDFG125200196500000119651029<NA>3폐업3폐업20000404<NA><NA><NA>777-5888<NA>100802서울특별시 중구 남대문로*가 ***번지서울특별시 중구 세종대로*가길 ** (남대문로*가)<NA>(주)세재문화공무국2010-03-05 12:52:09I2018-08-31 23:59:59.0<NA>197708.680672450634.390131인쇄사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
53010000CDFG125200196500000219650626<NA>1영업/정상13영업중<NA><NA><NA><NA>392-9391<NA>100859서울특별시 중구 중림동 ***-*번지<NA><NA>대광인쇄공사2003-05-06 11:23:16I2018-08-31 23:59:59.0<NA><NA><NA>인쇄사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
63010000CDFG125200196600000119660209<NA>3폐업3폐업20111107<NA><NA><NA>776-5311<NA>100844서울특별시 중구 을지로*가 **번지<NA><NA>삼화인쇄(주)2011-11-07 16:08:57I2018-08-31 23:59:59.0<NA><NA><NA>인쇄사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
73010000CDFG125200196600000219661231<NA>1영업/정상13영업중<NA><NA><NA><NA>266-4528<NA>100272서울특별시 중구 필동*가 ***-*번지서울특별시 중구 퇴계로**가길 ** (필동*가)<NA>덕수인쇄소2003-05-06 11:23:16I2018-08-31 23:59:59.0<NA>199499.314734450458.337013인쇄사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
83010000CDFG125200196600000419661001<NA>1영업/정상13영업중<NA><NA><NA><NA>777-2302<NA>100130서울특별시 중구 순화동 *-*번지서울특별시 중구 통일로*길 ** (순화동)<NA>한국기독교문화원2003-05-06 11:23:16I2018-08-31 23:59:59.0<NA>197181.756515451352.45152인쇄사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
93010000CDFG125200196600000519660725<NA>1영업/정상13영업중<NA><NA><NA><NA>360-4722<NA>100859서울특별시 중구 중림동 ***-*번지서울특별시 중구 청파로 *** (중림동)<NA>(주)한국경제신문2020-04-23 17:36:48U2020-04-25 02:40:00.0<NA>197032.923486450872.934796인쇄사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
20643010000CDFG12520020230000432023-12-28<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2272-3944<NA><NA>서울특별시 중구 예장동 * 예장동 삼익아파트서울특별시 중구 퇴계로**길 **, ***호 (예장동, 예장동 삼익아파트)04627에이치앤제이프린팅2023-12-28 15:50:20I2022-11-01 21:00:00.0<NA>199186.971559450840.240532<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20653010000CDFG12520020240000012024-01-11<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2272-9046<NA><NA>서울특별시 중구 충무로*가 *-** 청송빌딩서울특별시 중구 마른내로**길 **-*, 청송빌딩 *층 (충무로*가)04559엘앤에스2024-01-11 10:05:27I2023-11-30 23:03:00.0<NA>200004.036011451250.266273<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20663010000CDFG12520020240000022024-01-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 필동*가 ** 충무빌딩서울특별시 중구 퇴계로 ***, 충무빌딩 ***호 (필동*가)04557탈란톤출판사(주)2024-01-19 19:18:34I2023-11-30 22:01:00.0<NA>199393.748062451020.317219<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20673010000CDFG12520020240000032024-02-06<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2273-5167<NA><NA>서울특별시 중구 초동 ***-* 윤빌딩서울특별시 중구 수표로**길 **, 윤빌딩 *층 (초동)04555디자인세륜(지점)2024-02-06 08:50:32I2023-12-02 00:08:00.0<NA>199211.962994451278.976943<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20683010000CDFG12520020240000042024-02-21<NA>1영업/정상13영업중<NA><NA><NA><NA>02-736-9595<NA><NA>서울특별시 중구 저동*가 **-*서울특별시 중구 퇴계로**길 **, ***호 (저동*가)04555삼진인쇄공사2024-02-21 09:08:03I2023-12-01 22:03:00.0<NA>199141.271696451268.381983<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20693010000CDFG12520020240000052017-07-21<NA>1영업/정상13영업중<NA><NA><NA><NA>02-572-4703<NA><NA>서울특별시 중구 충무로*가 **-* 섹시쥬빌딩서울특별시 중구 수표로 **, 섹시쥬빌딩 *층 (충무로*가)04553주식회사 섹시쥬2024-02-23 09:14:21I2023-12-01 22:05:00.0<NA>199061.812186451145.222279<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20703010000CDFG12520020240000061963-02-28<NA>1영업/정상13영업중<NA><NA><NA><NA>02-363-8679<NA><NA>서울특별시 중구 인현동*가 ***-** 인현상가/신성아파트서울특별시 중구 마른내로 **, 인현상가/신성아파트 ***호 (인현동*가)04558흥문기획2024-02-27 18:01:37I2023-12-01 22:09:00.0<NA>199559.812875451275.242509<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20713010000CDFG12520020240000072024-03-07<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2272-7867<NA><NA>서울특별시 중구 인현동*가 ***-* *층서울특별시 중구 마른내로*길 **, *층 (인현동*가)04556SH프린텍2024-03-07 17:44:38I2023-12-03 00:09:00.0<NA>199391.245134451262.664468<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20723010000CDFG12520020240000082024-03-14<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2274-9900<NA><NA>서울특별시 중구 광희동*가 *** 광희빌딩 상가**호서울특별시 중구 퇴계로 ***, 광희빌딩 상가 **호 (광희동*가)04560광희사2024-03-14 09:15:15I2023-12-02 23:06:00.0<NA>200437.000174451335.718988<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20733010000CDFG12520020240000092024-05-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 인현동*가 ***-* 정산빌딩 ***호서울특별시 중구 마른내로*길 *-*, 정산빌딩 ***호 (인현동*가)04556데이타임2024-05-03 17:49:47I2023-12-05 00:05:00.0<NA>199410.292082451276.021553<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>