Overview

Dataset statistics

Number of variables60
Number of observations30
Missing cells1005
Missing cells (%)55.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.5 KiB
Average record size in memory529.4 B

Variable types

Categorical15
Text5
DateTime3
Unsupported32
Numeric5

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,지역구분명,총층수,주변환경명,제작취급품목내용,보험기관명,건물용도명,지상층수,지하층수,객실수,건축연면적,영문상호명,영문상호주소,선박총톤수,선박척수,선박제원,무대면적,좌석수,기념품종류,회의실별동시수용인원,시설면적,놀이기구수내역,놀이시설수,방송시설유무,발전시설유무,의무실유무,안내소유무,기획여행보험시작일자,기획여행보험종료일자,자본금,보험시작일자,보험종료일자,부대시설내역,시설규모
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-16858/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 30 (100.0%) missing valuesMissing
폐업일자 has 21 (70.0%) missing valuesMissing
휴업시작일자 has 30 (100.0%) missing valuesMissing
휴업종료일자 has 30 (100.0%) missing valuesMissing
재개업일자 has 30 (100.0%) missing valuesMissing
전화번호 has 2 (6.7%) missing valuesMissing
소재지면적 has 30 (100.0%) missing valuesMissing
소재지우편번호 has 8 (26.7%) missing valuesMissing
도로명우편번호 has 14 (46.7%) missing valuesMissing
업태구분명 has 30 (100.0%) missing valuesMissing
주변환경명 has 30 (100.0%) missing valuesMissing
제작취급품목내용 has 30 (100.0%) missing valuesMissing
보험기관명 has 30 (100.0%) missing valuesMissing
객실수 has 30 (100.0%) missing valuesMissing
건축연면적 has 30 (100.0%) missing valuesMissing
영문상호명 has 30 (100.0%) missing valuesMissing
영문상호주소 has 30 (100.0%) missing valuesMissing
선박총톤수 has 30 (100.0%) missing valuesMissing
선박척수 has 30 (100.0%) missing valuesMissing
선박제원 has 30 (100.0%) missing valuesMissing
무대면적 has 30 (100.0%) missing valuesMissing
좌석수 has 30 (100.0%) missing valuesMissing
기념품종류 has 30 (100.0%) missing valuesMissing
회의실별동시수용인원 has 30 (100.0%) missing valuesMissing
놀이기구수내역 has 30 (100.0%) missing valuesMissing
놀이시설수 has 30 (100.0%) missing valuesMissing
방송시설유무 has 30 (100.0%) missing valuesMissing
발전시설유무 has 30 (100.0%) missing valuesMissing
의무실유무 has 30 (100.0%) missing valuesMissing
안내소유무 has 30 (100.0%) missing valuesMissing
기획여행보험시작일자 has 30 (100.0%) missing valuesMissing
기획여행보험종료일자 has 30 (100.0%) missing valuesMissing
자본금 has 30 (100.0%) missing valuesMissing
보험시작일자 has 30 (100.0%) missing valuesMissing
보험종료일자 has 30 (100.0%) missing valuesMissing
부대시설내역 has 30 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 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
보험기관명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
객실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축연면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영문상호명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영문상호주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박총톤수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박척수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
무대면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
좌석수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
회의실별동시수용인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이시설수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자본금 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-29 19:11:06.877623
Analysis finished2024-04-29 19:11:07.672813
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
3160000
30 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3160000
2nd row3160000
3rd row3160000
4th row3160000
5th row3160000

Common Values

ValueCountFrequency (%)
3160000 30
100.0%

Length

2024-04-30T04:11:07.744727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:11:07.829425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 30
100.0%

관리번호
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-04-30T04:11:07.981334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters600
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

Unique30 ?
Unique (%)100.0%

Sample

1st rowCDFE1230001990000001
2nd rowCDFE1230001994000001
3rd rowCDFE1230001995000001
4th rowCDFE1230001997000001
5th rowCDFE1230001999000001
ValueCountFrequency (%)
cdfe1230001990000001 1
 
3.3%
cdfe1230001994000001 1
 
3.3%
cdfe1230002020000003 1
 
3.3%
cdfe1230002020000002 1
 
3.3%
cdfe1230002019000003 1
 
3.3%
cdfe1230002019000002 1
 
3.3%
cdfe1230002019000001 1
 
3.3%
cdfe1230002017000001 1
 
3.3%
cdfe1230002013000001 1
 
3.3%
cdfe1230002011000003 1
 
3.3%
Other values (20) 20
66.7%
2024-04-30T04:11:08.289498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 281
46.8%
2 74
 
12.3%
1 63
 
10.5%
3 36
 
6.0%
C 30
 
5.0%
D 30
 
5.0%
F 30
 
5.0%
E 30
 
5.0%
9 15
 
2.5%
7 5
 
0.8%
Other values (4) 6
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 480
80.0%
Uppercase Letter 120
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 281
58.5%
2 74
 
15.4%
1 63
 
13.1%
3 36
 
7.5%
9 15
 
3.1%
7 5
 
1.0%
4 2
 
0.4%
5 2
 
0.4%
6 1
 
0.2%
8 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
C 30
25.0%
D 30
25.0%
F 30
25.0%
E 30
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 480
80.0%
Latin 120
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 281
58.5%
2 74
 
15.4%
1 63
 
13.1%
3 36
 
7.5%
9 15
 
3.1%
7 5
 
1.0%
4 2
 
0.4%
5 2
 
0.4%
6 1
 
0.2%
8 1
 
0.2%
Latin
ValueCountFrequency (%)
C 30
25.0%
D 30
25.0%
F 30
25.0%
E 30
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 281
46.8%
2 74
 
12.3%
1 63
 
10.5%
3 36
 
6.0%
C 30
 
5.0%
D 30
 
5.0%
F 30
 
5.0%
E 30
 
5.0%
9 15
 
2.5%
7 5
 
0.8%
Other values (4) 6
 
1.0%
Distinct20
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum1990-09-14 00:00:00
Maximum2023-12-29 00:00:00
2024-04-30T04:11:08.424403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:11:08.538430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B
Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
1
21 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 21
70.0%
3 9
30.0%

Length

2024-04-30T04:11:08.661207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:11:08.743335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 21
70.0%
3 9
30.0%

영업상태명
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
영업/정상
21 
폐업

Length

Max length5
Median length5
Mean length4.1
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 21
70.0%
폐업 9
30.0%

Length

2024-04-30T04:11:08.838749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:11:08.937063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 21
70.0%
폐업 9
30.0%
Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
13
21 
3

Length

Max length2
Median length2
Mean length1.7
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 21
70.0%
3 9
30.0%

Length

2024-04-30T04:11:09.028230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:11:09.105579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 21
70.0%
3 9
30.0%
Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
영업중
21 
폐업

Length

Max length3
Median length3
Mean length2.7
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 21
70.0%
폐업 9
30.0%

Length

2024-04-30T04:11:09.196879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:11:09.290481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 21
70.0%
폐업 9
30.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)88.9%
Missing21
Missing (%)70.0%
Infinite0
Infinite (%)0.0%
Mean20120604
Minimum20001130
Maximum20230119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-30T04:11:09.382032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20001130
5-th percentile20004730
Q120010131
median20131128
Q320191231
95-th percentile20226519
Maximum20230119
Range228989
Interquartile range (IQR)181100

Descriptive statistics

Standard deviation91879.067
Coefficient of variation (CV)0.004566417
Kurtosis-1.6588406
Mean20120604
Median Absolute Deviation (MAD)89990
Skewness-0.34329314
Sum1.8108543 × 108
Variance8.4417629 × 109
MonotonicityNot monotonic
2024-04-30T04:11:09.489579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20010131 2
 
6.7%
20001130 1
 
3.3%
20191231 1
 
3.3%
20130327 1
 
3.3%
20131128 1
 
3.3%
20160119 1
 
3.3%
20230119 1
 
3.3%
20221118 1
 
3.3%
(Missing) 21
70.0%
ValueCountFrequency (%)
20001130 1
3.3%
20010131 2
6.7%
20130327 1
3.3%
20131128 1
3.3%
20160119 1
3.3%
20191231 1
3.3%
20221118 1
3.3%
20230119 1
3.3%
ValueCountFrequency (%)
20230119 1
3.3%
20221118 1
3.3%
20191231 1
3.3%
20160119 1
3.3%
20131128 1
3.3%
20130327 1
3.3%
20010131 2
6.7%
20001130 1
3.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

전화번호
Text

MISSING 

Distinct18
Distinct (%)64.3%
Missing2
Missing (%)6.7%
Memory size372.0 B
2024-04-30T04:11:09.642510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11.5
Mean length9.5
Min length8

Characters and Unicode

Total characters266
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

Unique15 ?
Unique (%)53.6%

Sample

1st row866-1706
2nd row857-6249
3rd row868-2789
4th row2275-3048
5th row818-1477
ValueCountFrequency (%)
6094-9595 9
32.1%
02-855-9285 2
 
7.1%
2211-3305 2
 
7.1%
661-5054 1
 
3.6%
866-1706 1
 
3.6%
2211-3000 1
 
3.6%
02-2093-5093 1
 
3.6%
02-2614-7963 1
 
3.6%
02-830-2562 1
 
3.6%
02-2029-1731 1
 
3.6%
Other values (8) 8
28.6%
2024-04-30T04:11:09.915341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 37
13.9%
9 36
13.5%
- 36
13.5%
5 34
12.8%
2 33
12.4%
6 20
7.5%
4 17
6.4%
1 15
5.6%
8 14
 
5.3%
3 13
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 230
86.5%
Dash Punctuation 36
 
13.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 37
16.1%
9 36
15.7%
5 34
14.8%
2 33
14.3%
6 20
8.7%
4 17
7.4%
1 15
6.5%
8 14
 
6.1%
3 13
 
5.7%
7 11
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 266
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 37
13.9%
9 36
13.5%
- 36
13.5%
5 34
12.8%
2 33
12.4%
6 20
7.5%
4 17
6.4%
1 15
5.6%
8 14
 
5.3%
3 13
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 266
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 37
13.9%
9 36
13.5%
- 36
13.5%
5 34
12.8%
2 33
12.4%
6 20
7.5%
4 17
6.4%
1 15
5.6%
8 14
 
5.3%
3 13
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)36.4%
Missing8
Missing (%)26.7%
Infinite0
Infinite (%)0.0%
Mean152737.5
Minimum152070
Maximum152862
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-30T04:11:10.019496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum152070
5-th percentile152070
Q1152801
median152862
Q3152862
95-th percentile152862
Maximum152862
Range792
Interquartile range (IQR)61

Descriptive statistics

Standard deviation273.44587
Coefficient of variation (CV)0.0017902995
Kurtosis3.3109883
Mean152737.5
Median Absolute Deviation (MAD)0
Skewness-2.2145099
Sum3360225
Variance74772.643
MonotonicityNot monotonic
2024-04-30T04:11:10.114877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
152862 12
40.0%
152070 3
 
10.0%
152801 2
 
6.7%
152800 1
 
3.3%
152838 1
 
3.3%
152842 1
 
3.3%
152858 1
 
3.3%
152731 1
 
3.3%
(Missing) 8
26.7%
ValueCountFrequency (%)
152070 3
 
10.0%
152731 1
 
3.3%
152800 1
 
3.3%
152801 2
 
6.7%
152838 1
 
3.3%
152842 1
 
3.3%
152858 1
 
3.3%
152862 12
40.0%
ValueCountFrequency (%)
152862 12
40.0%
152858 1
 
3.3%
152842 1
 
3.3%
152838 1
 
3.3%
152801 2
 
6.7%
152800 1
 
3.3%
152731 1
 
3.3%
152070 3
 
10.0%
Distinct19
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-04-30T04:11:10.275031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length30
Mean length22.233333
Min length17

Characters and Unicode

Total characters667
Distinct characters55
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)53.3%

Sample

1st row서울특별시 구로구 가리봉동 135-6번지
2nd row서울특별시 구로구 가리봉동 131-19번지
3rd row서울특별시 구로구 가리봉동 25-23번지
4th row서울특별시 구로구 구로동 573-0번지
5th row서울특별시 구로구 구로동 573-0번지
ValueCountFrequency (%)
서울특별시 30
23.8%
구로구 30
23.8%
구로동 21
16.7%
573번지 10
 
7.9%
신도림동 4
 
3.2%
가리봉동 3
 
2.4%
티타운빌딩 2
 
1.6%
501번지 2
 
1.6%
573-0번지 2
 
1.6%
360-51번지 2
 
1.6%
Other values (20) 20
15.9%
2024-04-30T04:11:10.548676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
117
17.5%
83
 
12.4%
52
 
7.8%
31
 
4.6%
30
 
4.5%
30
 
4.5%
30
 
4.5%
30
 
4.5%
30
 
4.5%
1 24
 
3.6%
Other values (45) 210
31.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 413
61.9%
Decimal Number 121
 
18.1%
Space Separator 117
 
17.5%
Dash Punctuation 16
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
83
20.1%
52
12.6%
31
 
7.5%
30
 
7.3%
30
 
7.3%
30
 
7.3%
30
 
7.3%
30
 
7.3%
22
 
5.3%
21
 
5.1%
Other values (33) 54
13.1%
Decimal Number
ValueCountFrequency (%)
1 24
19.8%
5 20
16.5%
3 20
16.5%
7 17
14.0%
2 13
10.7%
0 12
9.9%
6 8
 
6.6%
4 4
 
3.3%
8 2
 
1.7%
9 1
 
0.8%
Space Separator
ValueCountFrequency (%)
117
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 413
61.9%
Common 254
38.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
83
20.1%
52
12.6%
31
 
7.5%
30
 
7.3%
30
 
7.3%
30
 
7.3%
30
 
7.3%
30
 
7.3%
22
 
5.3%
21
 
5.1%
Other values (33) 54
13.1%
Common
ValueCountFrequency (%)
117
46.1%
1 24
 
9.4%
5 20
 
7.9%
3 20
 
7.9%
7 17
 
6.7%
- 16
 
6.3%
2 13
 
5.1%
0 12
 
4.7%
6 8
 
3.1%
4 4
 
1.6%
Other values (2) 3
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 413
61.9%
ASCII 254
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
117
46.1%
1 24
 
9.4%
5 20
 
7.9%
3 20
 
7.9%
7 17
 
6.7%
- 16
 
6.3%
2 13
 
5.1%
0 12
 
4.7%
6 8
 
3.1%
4 4
 
1.6%
Other values (2) 3
 
1.2%
Hangul
ValueCountFrequency (%)
83
20.1%
52
12.6%
31
 
7.5%
30
 
7.3%
30
 
7.3%
30
 
7.3%
30
 
7.3%
30
 
7.3%
22
 
5.3%
21
 
5.1%
Other values (33) 54
13.1%
Distinct15
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-04-30T04:11:10.729161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length39
Mean length28.666667
Min length24

Characters and Unicode

Total characters860
Distinct characters66
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)36.7%

Sample

1st row서울특별시 구로구 디지털로 226 (가리봉동)
2nd row서울특별시 구로구 디지털로 223 (가리봉동)
3rd row서울특별시 구로구 구로동로5길 2 (가리봉동)
4th row서울특별시 구로구 구로중앙로 152 (구로동)
5th row서울특별시 구로구 구로중앙로 152 (구로동)
ValueCountFrequency (%)
서울특별시 30
18.1%
구로구 30
18.1%
구로동 21
12.7%
구로중앙로 14
 
8.4%
152 12
 
7.2%
경인로 4
 
2.4%
신도림동 4
 
2.4%
662 3
 
1.8%
가리봉동 3
 
1.8%
203호 2
 
1.2%
Other values (35) 43
25.9%
2024-04-30T04:11:11.043948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
150
17.4%
101
 
11.7%
99
 
11.5%
2 34
 
4.0%
32
 
3.7%
31
 
3.6%
31
 
3.6%
30
 
3.5%
( 30
 
3.5%
30
 
3.5%
Other values (56) 292
34.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 520
60.5%
Space Separator 150
 
17.4%
Decimal Number 117
 
13.6%
Open Punctuation 30
 
3.5%
Close Punctuation 30
 
3.5%
Other Punctuation 10
 
1.2%
Dash Punctuation 2
 
0.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
101
19.4%
99
19.0%
32
 
6.2%
31
 
6.0%
31
 
6.0%
30
 
5.8%
30
 
5.8%
30
 
5.8%
15
 
2.9%
15
 
2.9%
Other values (40) 106
20.4%
Decimal Number
ValueCountFrequency (%)
2 34
29.1%
1 25
21.4%
5 19
16.2%
6 11
 
9.4%
3 10
 
8.5%
0 7
 
6.0%
4 5
 
4.3%
9 2
 
1.7%
7 2
 
1.7%
8 2
 
1.7%
Space Separator
ValueCountFrequency (%)
150
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 520
60.5%
Common 339
39.4%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
101
19.4%
99
19.0%
32
 
6.2%
31
 
6.0%
31
 
6.0%
30
 
5.8%
30
 
5.8%
30
 
5.8%
15
 
2.9%
15
 
2.9%
Other values (40) 106
20.4%
Common
ValueCountFrequency (%)
150
44.2%
2 34
 
10.0%
( 30
 
8.8%
) 30
 
8.8%
1 25
 
7.4%
5 19
 
5.6%
6 11
 
3.2%
3 10
 
2.9%
, 10
 
2.9%
0 7
 
2.1%
Other values (5) 13
 
3.8%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 520
60.5%
ASCII 340
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
150
44.1%
2 34
 
10.0%
( 30
 
8.8%
) 30
 
8.8%
1 25
 
7.4%
5 19
 
5.6%
6 11
 
3.2%
3 10
 
2.9%
, 10
 
2.9%
0 7
 
2.1%
Other values (6) 14
 
4.1%
Hangul
ValueCountFrequency (%)
101
19.4%
99
19.0%
32
 
6.2%
31
 
6.0%
31
 
6.0%
30
 
5.8%
30
 
5.8%
30
 
5.8%
15
 
2.9%
15
 
2.9%
Other values (40) 106
20.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)75.0%
Missing14
Missing (%)46.7%
Infinite0
Infinite (%)0.0%
Mean80555.25
Minimum8210
Maximum152887
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-30T04:11:11.133962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8210
5-th percentile8222.75
Q18297.75
median80558.5
Q3152811.25
95-th percentile152887
Maximum152887
Range144677
Interquartile range (IQR)144513.5

Descriptive statistics

Standard deviation74625.836
Coefficient of variation (CV)0.92639321
Kurtosis-2.3076876
Mean80555.25
Median Absolute Deviation (MAD)72264
Skewness2.8547913 × 10-7
Sum1288884
Variance5.5690154 × 109
MonotonicityNot monotonic
2024-04-30T04:11:11.227885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
152887 3
 
10.0%
152731 2
 
6.7%
8392 2
 
6.7%
152801 1
 
3.3%
8301 1
 
3.3%
152725 1
 
3.3%
152842 1
 
3.3%
8311 1
 
3.3%
8272 1
 
3.3%
8288 1
 
3.3%
Other values (2) 2
 
6.7%
(Missing) 14
46.7%
ValueCountFrequency (%)
8210 1
3.3%
8227 1
3.3%
8272 1
3.3%
8288 1
3.3%
8301 1
3.3%
8311 1
3.3%
8392 2
6.7%
152725 1
3.3%
152731 2
6.7%
152801 1
3.3%
ValueCountFrequency (%)
152887 3
10.0%
152842 1
 
3.3%
152801 1
 
3.3%
152731 2
6.7%
152725 1
 
3.3%
8392 2
6.7%
8311 1
 
3.3%
8301 1
 
3.3%
8288 1
 
3.3%
8272 1
 
3.3%

사업장명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-04-30T04:11:11.406568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length8.1
Min length2

Characters and Unicode

Total characters243
Distinct characters84
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row태양비디오소극장
2nd row가리봉비디오
3rd row대경비디오소극장
4th row애경
5th row애경시네마
ValueCountFrequency (%)
태양비디오소극장 1
 
3.2%
프라임아트홀 1
 
3.2%
구로키즈홀 1
 
3.2%
맑은샘아트홀 1
 
3.2%
칸태움극장 1
 
3.2%
칸테움극장 1
 
3.2%
오류아트홀 1
 
3.2%
꿈나무극장 1
 
3.2%
예술나무theater 1
 
3.2%
통통이소극장 1
 
3.2%
Other values (21) 21
67.7%
2024-04-30T04:11:11.687233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14
 
5.8%
13
 
5.3%
1 12
 
4.9%
11
 
4.5%
0 11
 
4.5%
C 10
 
4.1%
10
 
4.1%
V 10
 
4.1%
G 10
 
4.1%
7
 
2.9%
Other values (74) 135
55.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 171
70.4%
Decimal Number 31
 
12.8%
Uppercase Letter 31
 
12.8%
Lowercase Letter 6
 
2.5%
Connector Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%
Space Separator 1
 
0.4%
Open Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
14
 
8.2%
13
 
7.6%
11
 
6.4%
10
 
5.8%
7
 
4.1%
7
 
4.1%
7
 
4.1%
7
 
4.1%
6
 
3.5%
5
 
2.9%
Other values (51) 84
49.1%
Decimal Number
ValueCountFrequency (%)
1 12
38.7%
0 11
35.5%
6 1
 
3.2%
7 1
 
3.2%
8 1
 
3.2%
9 1
 
3.2%
2 1
 
3.2%
3 1
 
3.2%
4 1
 
3.2%
5 1
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
h 1
16.7%
a 1
16.7%
t 1
16.7%
r 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
C 10
32.3%
V 10
32.3%
G 10
32.3%
T 1
 
3.2%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 171
70.4%
Latin 37
 
15.2%
Common 35
 
14.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
14
 
8.2%
13
 
7.6%
11
 
6.4%
10
 
5.8%
7
 
4.1%
7
 
4.1%
7
 
4.1%
7
 
4.1%
6
 
3.5%
5
 
2.9%
Other values (51) 84
49.1%
Common
ValueCountFrequency (%)
1 12
34.3%
0 11
31.4%
_ 1
 
2.9%
) 1
 
2.9%
6 1
 
2.9%
7 1
 
2.9%
8 1
 
2.9%
9 1
 
2.9%
2 1
 
2.9%
3 1
 
2.9%
Other values (4) 4
 
11.4%
Latin
ValueCountFrequency (%)
C 10
27.0%
V 10
27.0%
G 10
27.0%
e 2
 
5.4%
T 1
 
2.7%
h 1
 
2.7%
a 1
 
2.7%
t 1
 
2.7%
r 1
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 171
70.4%
ASCII 72
29.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
14
 
8.2%
13
 
7.6%
11
 
6.4%
10
 
5.8%
7
 
4.1%
7
 
4.1%
7
 
4.1%
7
 
4.1%
6
 
3.5%
5
 
2.9%
Other values (51) 84
49.1%
ASCII
ValueCountFrequency (%)
1 12
16.7%
0 11
15.3%
C 10
13.9%
V 10
13.9%
G 10
13.9%
e 2
 
2.8%
T 1
 
1.4%
h 1
 
1.4%
a 1
 
1.4%
t 1
 
1.4%
Other values (13) 13
18.1%
Distinct17
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2003-04-18 15:20:26
Maximum2023-12-29 08:54:41
2024-04-30T04:11:11.776819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:11:11.861770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
I
21 
U

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 21
70.0%
U 9
30.0%

Length

2024-04-30T04:11:11.964768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:11:12.051705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 21
70.0%
u 9
30.0%
Distinct9
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2018-08-31 23:59:59
Maximum2022-11-30 22:02:00
2024-04-30T04:11:12.119704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:11:12.210829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

좌표정보(X)
Real number (ℝ)

Distinct15
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean189720.01
Minimum186433.39
Maximum190987.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-30T04:11:12.298217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum186433.39
5-th percentile188588.87
Q1189570.36
median189660.82
Q3190198.81
95-th percentile190678.24
Maximum190987.66
Range4554.27
Interquartile range (IQR)628.45405

Descriptive statistics

Standard deviation834.83818
Coefficient of variation (CV)0.0044003697
Kurtosis8.5723025
Mean189720.01
Median Absolute Deviation (MAD)126.27468
Skewness-2.3899958
Sum5691600.3
Variance696954.79
MonotonicityNot monotonic
2024-04-30T04:11:12.386764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
189570.360930049 12
40.0%
190210.511794 3
 
10.0%
189682.799434964 2
 
6.7%
190987.661570042 2
 
6.7%
190300.065673396 1
 
3.3%
190250.815226447 1
 
3.3%
189822.910284572 1
 
3.3%
190163.724552507 1
 
3.3%
190232.524534335 1
 
3.3%
190111.321167658 1
 
3.3%
Other values (5) 5
16.7%
ValueCountFrequency (%)
186433.391549625 1
 
3.3%
187785.840457798 1
 
3.3%
189570.360930049 12
40.0%
189638.847777298 1
 
3.3%
189682.799434964 2
 
6.7%
189822.910284572 1
 
3.3%
189897.262016345 1
 
3.3%
190111.321167658 1
 
3.3%
190146.813085852 1
 
3.3%
190163.724552507 1
 
3.3%
ValueCountFrequency (%)
190987.661570042 2
6.7%
190300.065673396 1
 
3.3%
190250.815226447 1
 
3.3%
190232.524534335 1
 
3.3%
190210.511794 3
10.0%
190163.724552507 1
 
3.3%
190146.813085852 1
 
3.3%
190111.321167658 1
 
3.3%
189897.262016345 1
 
3.3%
189822.910284572 1
 
3.3%

좌표정보(Y)
Real number (ℝ)

Distinct15
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean444037.65
Minimum441995.72
Maximum445488.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-30T04:11:12.478601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441995.72
5-th percentile442104.52
Q1443833.61
median444336.05
Q3444336.05
95-th percentile445488.9
Maximum445488.9
Range3493.1769
Interquartile range (IQR)502.44056

Descriptive statistics

Standard deviation982.77944
Coefficient of variation (CV)0.0022132795
Kurtosis0.17555153
Mean444037.65
Median Absolute Deviation (MAD)401.6085
Skewness-0.83768199
Sum13321129
Variance965855.43
MonotonicityNot monotonic
2024-04-30T04:11:12.578314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
444336.051330144 12
40.0%
445488.900976 3
 
10.0%
444193.860003095 2
 
6.7%
442224.13121712 2
 
6.7%
441995.724053949 1
 
3.3%
442006.653390069 1
 
3.3%
442542.127293122 1
 
3.3%
443865.923656986 1
 
3.3%
444978.682746138 1
 
3.3%
443822.839809772 1
 
3.3%
Other values (5) 5
16.7%
ValueCountFrequency (%)
441995.724053949 1
3.3%
442006.653390069 1
3.3%
442224.13121712 2
6.7%
442542.127293122 1
3.3%
443064.110962648 1
3.3%
443741.81032957 1
3.3%
443822.839809772 1
3.3%
443865.923656986 1
3.3%
443997.135869884 1
3.3%
444193.860003095 2
6.7%
ValueCountFrequency (%)
445488.900976 3
 
10.0%
444978.69497938 1
 
3.3%
444978.682746138 1
 
3.3%
444800.352870029 1
 
3.3%
444336.051330144 12
40.0%
444193.860003095 2
 
6.7%
443997.135869884 1
 
3.3%
443865.923656986 1
 
3.3%
443822.839809772 1
 
3.3%
443741.81032957 1
 
3.3%
Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
공연장
21 
<NA>

Length

Max length4
Median length3
Mean length3.3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공연장 21
70.0%
<NA> 9
30.0%

Length

2024-04-30T04:11:12.690835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:11:12.782429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연장 21
70.0%
na 9
30.0%
Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
공연장
21 
<NA>

Length

Max length4
Median length3
Mean length3.3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공연장 21
70.0%
<NA> 9
30.0%

Length

2024-04-30T04:11:12.866434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:11:12.944441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연장 21
70.0%
na 9
30.0%

지역구분명
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
18 
근린상업지역
12 

Length

Max length6
Median length4
Mean length4.8
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 18
60.0%
근린상업지역 12
40.0%

Length

2024-04-30T04:11:13.215499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:11:13.300158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
60.0%
근린상업지역 12
40.0%

총층수
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
13 
10
10 
0
1

Length

Max length4
Median length2
Mean length2.6333333
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 13
43.3%
10 10
33.3%
0 5
 
16.7%
1 2
 
6.7%

Length

2024-04-30T04:11:13.386430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:11:13.475626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 13
43.3%
10 10
33.3%
0 5
 
16.7%
1 2
 
6.7%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

건물용도명
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
16 
근린생활시설
13 
문화시설
 
1

Length

Max length6
Median length4
Mean length4.8666667
Min length4

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 16
53.3%
근린생활시설 13
43.3%
문화시설 1
 
3.3%

Length

2024-04-30T04:11:13.589603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:11:13.691622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
53.3%
근린생활시설 13
43.3%
문화시설 1
 
3.3%

지상층수
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
13 
9
10 
0
1
3
 
1

Length

Max length4
Median length1
Mean length2.3
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row0
2nd row3
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 13
43.3%
9 10
33.3%
0 4
 
13.3%
1 2
 
6.7%
3 1
 
3.3%

Length

2024-04-30T04:11:13.793107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:11:13.889481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 13
43.3%
9 10
33.3%
0 4
 
13.3%
1 2
 
6.7%
3 1
 
3.3%

지하층수
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
14 
1
13 
0

Length

Max length4
Median length1
Mean length2.4
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 14
46.7%
1 13
43.3%
0 3
 
10.0%

Length

2024-04-30T04:11:13.988568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:11:14.075578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 14
46.7%
1 13
43.3%
0 3
 
10.0%

객실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

시설면적
Categorical

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
15 
13761.0
10 
0.0
198.0
 
1
181.5
 
1

Length

Max length7
Median length6
Mean length5.0333333
Min length3

Unique

Unique3 ?
Unique (%)10.0%

Sample

1st row198.0
2nd row181.5
3rd row165.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
<NA> 15
50.0%
13761.0 10
33.3%
0.0 2
 
6.7%
198.0 1
 
3.3%
181.5 1
 
3.3%
165.0 1
 
3.3%

Length

2024-04-30T04:11:14.172996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:11:14.281178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
50.0%
13761.0 10
33.3%
0.0 2
 
6.7%
198.0 1
 
3.3%
181.5 1
 
3.3%
165.0 1
 
3.3%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

자본금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

시설규모
Categorical

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
15 
13761
10 
0
198
 
1
182
 
1

Length

Max length5
Median length4.5
Mean length4.0333333
Min length1

Unique

Unique3 ?
Unique (%)10.0%

Sample

1st row198
2nd row182
3rd row165
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 15
50.0%
13761 10
33.3%
0 2
 
6.7%
198 1
 
3.3%
182 1
 
3.3%
165 1
 
3.3%

Length

2024-04-30T04:11:14.402890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:11:14.496811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
50.0%
13761 10
33.3%
0 2
 
6.7%
198 1
 
3.3%
182 1
 
3.3%
165 1
 
3.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03160000CDFE123000199000000119900914<NA>1영업/정상13영업중<NA><NA><NA><NA>866-1706<NA>152801서울특별시 구로구 가리봉동 135-6번지서울특별시 구로구 디지털로 226 (가리봉동)<NA>태양비디오소극장2003-04-18 15:20:26I2018-08-31 23:59:59.0<NA>190300.065673441995.724054공연장공연장근린상업지역0<NA><NA><NA>근린생활시설01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>198.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>198
13160000CDFE123000199400000119940514<NA>1영업/정상13영업중<NA><NA><NA><NA>857-6249<NA>152801서울특별시 구로구 가리봉동 131-19번지서울특별시 구로구 디지털로 223 (가리봉동)152801가리봉비디오2013-12-20 13:19:55I2018-08-31 23:59:59.0<NA>190250.815226442006.65339공연장공연장<NA>0<NA><NA><NA><NA>30<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>181.5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>182
23160000CDFE123000199500000119951102<NA>3폐업3폐업20001130<NA><NA><NA>868-2789<NA>152800서울특별시 구로구 가리봉동 25-23번지서울특별시 구로구 구로동로5길 2 (가리봉동)<NA>대경비디오소극장2003-04-18 15:20:26I2018-08-31 23:59:59.0<NA>189822.910285442542.127293공연장공연장근린상업지역0<NA><NA><NA>근린생활시설01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>165.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>165
33160000CDFE123000199700000119970724<NA>3폐업3폐업20010131<NA><NA><NA>2275-3048<NA>152862서울특별시 구로구 구로동 573-0번지서울특별시 구로구 구로중앙로 152 (구로동)<NA>애경2003-04-18 15:20:26I2018-08-31 23:59:59.0<NA>189570.36093444336.05133공연장공연장<NA>0<NA><NA><NA><NA>00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
43160000CDFE123000199900000119990930<NA>3폐업3폐업20010131<NA><NA><NA>818-1477<NA>152862서울특별시 구로구 구로동 573-0번지서울특별시 구로구 구로중앙로 152 (구로동)<NA>애경시네마2003-04-18 15:20:26I2018-08-31 23:59:59.0<NA>189570.36093444336.05133공연장공연장<NA>0<NA><NA><NA><NA>00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
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개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
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273160000CDFE123000202000000220200715<NA>3폐업3폐업20230119<NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 8-16서울특별시 구로구 새말로 85, 301호 (구로동)8288맑은샘아트홀2023-01-20 11:35:56U2022-11-30 22:02:00.0<NA>190146.813086444800.35287<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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293160000CDFE12300020230000012023-12-29<NA>1영업/정상13영업중<NA><NA><NA><NA>031-222-0507<NA><NA>서울특별시 구로구 신도림동 436-10서울특별시 구로구 경인로 611-17, B101호 (신도림동)8210송해아트홀2023-12-29 08:54:41I2022-11-01 21:01:00.0<NA>189638.847777444978.694979<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>