Overview

Dataset statistics

Number of variables61
Number of observations65
Missing cells1582
Missing cells (%)39.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.8 KiB
Average record size in memory533.0 B

Variable types

Categorical23
Text5
DateTime3
Unsupported20
Numeric10

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,관광숙박업상세명
Author영등포구
URLhttps://data.seoul.go.kr/dataList/OA-17420/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (88.5%)Imbalance
휴업종료일자 is highly imbalanced (88.5%)Imbalance
지역구분명 is highly imbalanced (55.6%)Imbalance
주변환경명 is highly imbalanced (65.1%)Imbalance
건물용도명 is highly imbalanced (54.7%)Imbalance
인허가취소일자 has 65 (100.0%) missing valuesMissing
폐업일자 has 58 (89.2%) missing valuesMissing
재개업일자 has 65 (100.0%) missing valuesMissing
전화번호 has 37 (56.9%) missing valuesMissing
소재지면적 has 65 (100.0%) missing valuesMissing
도로명우편번호 has 19 (29.2%) missing valuesMissing
업태구분명 has 65 (100.0%) missing valuesMissing
총층수 has 28 (43.1%) missing valuesMissing
제작취급품목내용 has 65 (100.0%) missing valuesMissing
보험기관명 has 65 (100.0%) missing valuesMissing
지상층수 has 28 (43.1%) missing valuesMissing
객실수 has 28 (43.1%) missing valuesMissing
건축연면적 has 28 (43.1%) missing valuesMissing
영문상호명 has 65 (100.0%) missing valuesMissing
영문상호주소 has 65 (100.0%) missing valuesMissing
선박제원 has 65 (100.0%) missing valuesMissing
기념품종류 has 65 (100.0%) missing valuesMissing
시설면적 has 28 (43.1%) missing valuesMissing
놀이기구수내역 has 65 (100.0%) missing valuesMissing
방송시설유무 has 65 (100.0%) missing valuesMissing
발전시설유무 has 65 (100.0%) missing valuesMissing
의무실유무 has 65 (100.0%) missing valuesMissing
안내소유무 has 65 (100.0%) missing valuesMissing
기획여행보험시작일자 has 65 (100.0%) missing valuesMissing
기획여행보험종료일자 has 65 (100.0%) missing valuesMissing
보험시작일자 has 65 (100.0%) missing valuesMissing
보험종료일자 has 65 (100.0%) missing valuesMissing
부대시설내역 has 65 (100.0%) missing valuesMissing
시설규모 has 28 (43.1%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 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
보험기관명 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
선박제원 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
놀이기구수내역 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
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
총층수 has 22 (33.8%) zerosZeros
지상층수 has 21 (32.3%) zerosZeros
객실수 has 26 (40.0%) zerosZeros
건축연면적 has 30 (46.2%) zerosZeros
시설면적 has 19 (29.2%) zerosZeros
시설규모 has 19 (29.2%) zerosZeros

Reproduction

Analysis started2024-05-18 01:04:09.359151
Analysis finished2024-05-18 01:04:10.935442
Duration1.58 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
3180000
65 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3180000
2nd row3180000
3rd row3180000
4th row3180000
5th row3180000

Common Values

ValueCountFrequency (%)
3180000 65
100.0%

Length

2024-05-18T10:04:11.235982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:04:11.638942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3180000 65
100.0%

관리번호
Text

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
2024-05-18T10:04:12.227522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1300
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

Unique65 ?
Unique (%)100.0%

Sample

1st rowCDFI2260031975000001
2nd rowCDFI2260031988000001
3rd rowCDFI2260031996000001
4th rowCDFI2260031996000002
5th rowCDFI2260031996000004
ValueCountFrequency (%)
cdfi2260031975000001 1
 
1.5%
cdfi2260032015000005 1
 
1.5%
cdfi2260032016000001 1
 
1.5%
cdfi2260032016000002 1
 
1.5%
cdfi2260032016000003 1
 
1.5%
cdfi2260032016000004 1
 
1.5%
cdfi2260032016000005 1
 
1.5%
cdfi2260032017000001 1
 
1.5%
cdfi2260032017000002 1
 
1.5%
cdfi2260032017000003 1
 
1.5%
Other values (55) 55
84.6%
2024-05-18T10:04:13.305551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 512
39.4%
2 208
16.0%
6 78
 
6.0%
3 78
 
6.0%
1 72
 
5.5%
C 65
 
5.0%
D 65
 
5.0%
F 65
 
5.0%
I 65
 
5.0%
9 40
 
3.1%
Other values (4) 52
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1040
80.0%
Uppercase Letter 260
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 512
49.2%
2 208
20.0%
6 78
 
7.5%
3 78
 
7.5%
1 72
 
6.9%
9 40
 
3.8%
7 15
 
1.4%
4 14
 
1.3%
5 12
 
1.2%
8 11
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 65
25.0%
D 65
25.0%
F 65
25.0%
I 65
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1040
80.0%
Latin 260
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 512
49.2%
2 208
20.0%
6 78
 
7.5%
3 78
 
7.5%
1 72
 
6.9%
9 40
 
3.8%
7 15
 
1.4%
4 14
 
1.3%
5 12
 
1.2%
8 11
 
1.1%
Latin
ValueCountFrequency (%)
C 65
25.0%
D 65
25.0%
F 65
25.0%
I 65
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 512
39.4%
2 208
16.0%
6 78
 
6.0%
3 78
 
6.0%
1 72
 
5.5%
C 65
 
5.0%
D 65
 
5.0%
F 65
 
5.0%
I 65
 
5.0%
9 40
 
3.1%
Other values (4) 52
 
4.0%

인허가일자
Date

Distinct59
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum1975-03-18 00:00:00
Maximum2024-04-09 00:00:00
2024-05-18T10:04:14.048170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:04:14.531047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

영업상태코드
Categorical

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size652.0 B
1
41 
4
15 
3
8 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

1st row3
2nd row3
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
1 41
63.1%
4 15
 
23.1%
3 8
 
12.3%
2 1
 
1.5%

Length

2024-05-18T10:04:14.953442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:04:15.301656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 41
63.1%
4 15
 
23.1%
3 8
 
12.3%
2 1
 
1.5%

영업상태명
Categorical

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size652.0 B
영업/정상
41 
취소/말소/만료/정지/중지
15 
폐업
8 
휴업
 
1

Length

Max length14
Median length5
Mean length6.6615385
Min length2

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 41
63.1%
취소/말소/만료/정지/중지 15
 
23.1%
폐업 8
 
12.3%
휴업 1
 
1.5%

Length

2024-05-18T10:04:15.904837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:04:16.359089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 41
63.1%
취소/말소/만료/정지/중지 15
 
23.1%
폐업 8
 
12.3%
휴업 1
 
1.5%

상세영업상태코드
Categorical

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size652.0 B
13
41 
35
15 
3
8 
2
 
1

Length

Max length2
Median length2
Mean length1.8615385
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

1st row3
2nd row3
3rd row35
4th row35
5th row35

Common Values

ValueCountFrequency (%)
13 41
63.1%
35 15
 
23.1%
3 8
 
12.3%
2 1
 
1.5%

Length

2024-05-18T10:04:16.910111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:04:17.298244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 41
63.1%
35 15
 
23.1%
3 8
 
12.3%
2 1
 
1.5%

상세영업상태명
Categorical

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size652.0 B
영업중
41 
직권말소
15 
폐업
8 
휴업
 
1

Length

Max length4
Median length3
Mean length3.0923077
Min length2

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 41
63.1%
직권말소 15
 
23.1%
폐업 8
 
12.3%
휴업 1
 
1.5%

Length

2024-05-18T10:04:17.770572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:04:18.319443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 41
63.1%
직권말소 15
 
23.1%
폐업 8
 
12.3%
휴업 1
 
1.5%

폐업일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing58
Missing (%)89.2%
Infinite0
Infinite (%)0.0%
Mean20149173
Minimum20040517
Maximum20210205
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-18T10:04:18.618721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040517
5-th percentile20040725
Q120106020
median20180426
Q320200512
95-th percentile20207326
Maximum20210205
Range169688
Interquartile range (IQR)94492

Descriptive statistics

Standard deviation75171
Coefficient of variation (CV)0.0037307239
Kurtosis-0.95421775
Mean20149173
Median Absolute Deviation (MAD)20184
Skewness-1.1000505
Sum1.4104421 × 108
Variance5.6506793 × 109
MonotonicityNot monotonic
2024-05-18T10:04:19.041571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20200610 1
 
1.5%
20040517 1
 
1.5%
20170829 1
 
1.5%
20041210 1
 
1.5%
20180426 1
 
1.5%
20210205 1
 
1.5%
20200413 1
 
1.5%
(Missing) 58
89.2%
ValueCountFrequency (%)
20040517 1
1.5%
20041210 1
1.5%
20170829 1
1.5%
20180426 1
1.5%
20200413 1
1.5%
20200610 1
1.5%
20210205 1
1.5%
ValueCountFrequency (%)
20210205 1
1.5%
20200610 1
1.5%
20200413 1
1.5%
20180426 1
1.5%
20170829 1
1.5%
20041210 1
1.5%
20040517 1
1.5%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
64 
20010827
 
1

Length

Max length8
Median length4
Mean length4.0615385
Min length4

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 64
98.5%
20010827 1
 
1.5%

Length

2024-05-18T10:04:19.642060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:04:20.164696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 64
98.5%
20010827 1
 
1.5%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
64 
20020226
 
1

Length

Max length8
Median length4
Mean length4.0615385
Min length4

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 64
98.5%
20020226 1
 
1.5%

Length

2024-05-18T10:04:20.726780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:04:21.181484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 64
98.5%
20020226 1
 
1.5%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

전화번호
Text

MISSING 

Distinct27
Distinct (%)96.4%
Missing37
Missing (%)56.9%
Memory size652.0 B
2024-05-18T10:04:21.654020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length10.928571
Min length8

Characters and Unicode

Total characters306
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)92.9%

Sample

1st row02-782-0121
2nd row2672-3535
3rd row786-2222
4th row2197-7231
5th row2197-7000
ValueCountFrequency (%)
02-2677-5511 2
 
6.9%
2672-3535 1
 
3.4%
02-782-0121 1
 
3.4%
02-2636-2999 1
 
3.4%
02-6959-1045 1
 
3.4%
2632-9000 1
 
3.4%
02-2675-1214 1
 
3.4%
02-2018-3700 1
 
3.4%
882-2000 1
 
3.4%
02-3667-7932 1
 
3.4%
Other values (18) 18
62.1%
2024-05-18T10:04:22.914777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 61
19.9%
2 55
18.0%
- 45
14.7%
7 29
9.5%
6 27
8.8%
1 19
 
6.2%
5 16
 
5.2%
3 16
 
5.2%
8 15
 
4.9%
9 15
 
4.9%
Other values (3) 8
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 259
84.6%
Dash Punctuation 45
 
14.7%
Other Punctuation 1
 
0.3%
Space Separator 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 61
23.6%
2 55
21.2%
7 29
11.2%
6 27
10.4%
1 19
 
7.3%
5 16
 
6.2%
3 16
 
6.2%
8 15
 
5.8%
9 15
 
5.8%
4 6
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 306
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 61
19.9%
2 55
18.0%
- 45
14.7%
7 29
9.5%
6 27
8.8%
1 19
 
6.2%
5 16
 
5.2%
3 16
 
5.2%
8 15
 
4.9%
9 15
 
4.9%
Other values (3) 8
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 306
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 61
19.9%
2 55
18.0%
- 45
14.7%
7 29
9.5%
6 27
8.8%
1 19
 
6.2%
5 16
 
5.2%
3 16
 
5.2%
8 15
 
4.9%
9 15
 
4.9%
Other values (3) 8
 
2.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

소재지우편번호
Categorical

Distinct14
Distinct (%)21.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
38 
150868
6 
150870
6 
150901
4 
150872
 
2
Other values (9)
9 

Length

Max length7
Median length4
Mean length4.9076923
Min length4

Unique

Unique9 ?
Unique (%)13.8%

Sample

1st row<NA>
2nd row150045
3rd row150868
4th row150870
5th row150901

Common Values

ValueCountFrequency (%)
<NA> 38
58.5%
150868 6
 
9.2%
150870 6
 
9.2%
150901 4
 
6.2%
150872 2
 
3.1%
150045 1
 
1.5%
150-010 1
 
1.5%
150-862 1
 
1.5%
150102 1
 
1.5%
150-874 1
 
1.5%
Other values (4) 4
 
6.2%

Length

2024-05-18T10:04:23.477381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 38
58.5%
150868 6
 
9.2%
150870 6
 
9.2%
150901 4
 
6.2%
150872 2
 
3.1%
150045 1
 
1.5%
150-010 1
 
1.5%
150-862 1
 
1.5%
150102 1
 
1.5%
150-874 1
 
1.5%
Other values (4) 4
 
6.2%

지번주소
Text

Distinct50
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Memory size652.0 B
2024-05-18T10:04:24.135204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length30
Mean length23.830769
Min length18

Characters and Unicode

Total characters1549
Distinct characters67
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)70.8%

Sample

1st row서울특별시 영등포구 여의도동 10-3번지
2nd row서울특별시 영등포구 당산동5가 33-10번지
3rd row서울특별시 영등포구 여의도동 10-3번지
4th row서울특별시 영등포구 여의도동 13-3번지 1층
5th row서울특별시 영등포구 영등포동2가 94-154번지
ValueCountFrequency (%)
서울특별시 65
23.4%
영등포구 65
23.4%
여의도동 21
 
7.6%
10-3번지 7
 
2.5%
영등포동2가 7
 
2.5%
13-3번지 6
 
2.2%
94-154번지 5
 
1.8%
당산동1가 5
 
1.8%
양평동3가 5
 
1.8%
양평동1가 5
 
1.8%
Other values (76) 87
31.3%
2024-05-18T10:04:25.374700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
250
 
16.1%
포 83
 
5.4%
영 82
 
5.3%
등 82
 
5.3%
1 73
 
4.7%
서 65
 
4.2%
특 65
 
4.2%
별 65
 
4.2%
시 65
 
4.2%
구 65
 
4.2%
Other values (57) 654
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 975
62.9%
Decimal Number 269
 
17.4%
Space Separator 250
 
16.1%
Dash Punctuation 53
 
3.4%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
포 83
 
8.5%
영 82
 
8.4%
등 82
 
8.4%
서 65
 
6.7%
특 65
 
6.7%
별 65
 
6.7%
시 65
 
6.7%
구 65
 
6.7%
울 65
 
6.7%
동 65
 
6.7%
Other values (43) 273
28.0%
Decimal Number
ValueCountFrequency (%)
1 73
27.1%
3 58
21.6%
2 28
 
10.4%
4 24
 
8.9%
5 21
 
7.8%
0 18
 
6.7%
6 15
 
5.6%
8 12
 
4.5%
9 11
 
4.1%
7 9
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
H 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
250
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 975
62.9%
Common 572
36.9%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
포 83
 
8.5%
영 82
 
8.4%
등 82
 
8.4%
서 65
 
6.7%
특 65
 
6.7%
별 65
 
6.7%
시 65
 
6.7%
구 65
 
6.7%
울 65
 
6.7%
동 65
 
6.7%
Other values (43) 273
28.0%
Common
ValueCountFrequency (%)
250
43.7%
1 73
 
12.8%
3 58
 
10.1%
- 53
 
9.3%
2 28
 
4.9%
4 24
 
4.2%
5 21
 
3.7%
0 18
 
3.1%
6 15
 
2.6%
8 12
 
2.1%
Other values (2) 20
 
3.5%
Latin
ValueCountFrequency (%)
H 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 975
62.9%
ASCII 574
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
250
43.6%
1 73
 
12.7%
3 58
 
10.1%
- 53
 
9.2%
2 28
 
4.9%
4 24
 
4.2%
5 21
 
3.7%
0 18
 
3.1%
6 15
 
2.6%
8 12
 
2.1%
Other values (4) 22
 
3.8%
Hangul
ValueCountFrequency (%)
포 83
 
8.5%
영 82
 
8.4%
등 82
 
8.4%
서 65
 
6.7%
특 65
 
6.7%
별 65
 
6.7%
시 65
 
6.7%
구 65
 
6.7%
울 65
 
6.7%
동 65
 
6.7%
Other values (43) 273
28.0%

도로명주소
Text

Distinct52
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
2024-05-18T10:04:26.301514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length37
Mean length29.4
Min length24

Characters and Unicode

Total characters1911
Distinct characters95
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

Unique48 ?
Unique (%)73.8%

Sample

1st row서울특별시 영등포구 은행로 62 (여의도동)
2nd row서울특별시 영등포구 선유동2로 72 (당산동5가)
3rd row서울특별시 영등포구 은행로 62 (여의도동)
4th row서울특별시 영등포구 국회대로76길 16 (여의도동,1층)
5th row서울특별시 영등포구 버드나루로 23 (영등포동2가)
ValueCountFrequency (%)
서울특별시 65
19.0%
영등포구 65
19.0%
여의도동 20
 
5.8%
16 8
 
2.3%
은행로 7
 
2.0%
62 7
 
2.0%
국회대로76길 7
 
2.0%
버드나루로 7
 
2.0%
영등포동2가 7
 
2.0%
양평동1가 5
 
1.5%
Other values (106) 145
42.3%
2024-05-18T10:04:27.516814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
297
 
15.5%
영 94
 
4.9%
포 90
 
4.7%
등 89
 
4.7%
서 67
 
3.5%
동 67
 
3.5%
울 65
 
3.4%
( 65
 
3.4%
로 65
 
3.4%
) 65
 
3.4%
Other values (85) 947
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1201
62.8%
Space Separator 297
 
15.5%
Decimal Number 248
 
13.0%
Open Punctuation 65
 
3.4%
Close Punctuation 65
 
3.4%
Other Punctuation 15
 
0.8%
Dash Punctuation 12
 
0.6%
Uppercase Letter 8
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 94
 
7.8%
포 90
 
7.5%
등 89
 
7.4%
서 67
 
5.6%
동 67
 
5.6%
울 65
 
5.4%
로 65
 
5.4%
구 65
 
5.4%
시 65
 
5.4%
별 65
 
5.4%
Other values (63) 469
39.1%
Decimal Number
ValueCountFrequency (%)
1 62
25.0%
2 43
17.3%
3 35
14.1%
6 34
13.7%
7 17
 
6.9%
4 16
 
6.5%
8 14
 
5.6%
0 13
 
5.2%
5 8
 
3.2%
9 6
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
S 2
25.0%
G 1
12.5%
M 1
12.5%
H 1
12.5%
P 1
12.5%
I 1
12.5%
V 1
12.5%
Space Separator
ValueCountFrequency (%)
297
100.0%
Open Punctuation
ValueCountFrequency (%)
( 65
100.0%
Close Punctuation
ValueCountFrequency (%)
) 65
100.0%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1201
62.8%
Common 702
36.7%
Latin 8
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 94
 
7.8%
포 90
 
7.5%
등 89
 
7.4%
서 67
 
5.6%
동 67
 
5.6%
울 65
 
5.4%
로 65
 
5.4%
구 65
 
5.4%
시 65
 
5.4%
별 65
 
5.4%
Other values (63) 469
39.1%
Common
ValueCountFrequency (%)
297
42.3%
( 65
 
9.3%
) 65
 
9.3%
1 62
 
8.8%
2 43
 
6.1%
3 35
 
5.0%
6 34
 
4.8%
7 17
 
2.4%
4 16
 
2.3%
, 15
 
2.1%
Other values (5) 53
 
7.5%
Latin
ValueCountFrequency (%)
S 2
25.0%
G 1
12.5%
M 1
12.5%
H 1
12.5%
P 1
12.5%
I 1
12.5%
V 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1201
62.8%
ASCII 710
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
297
41.8%
( 65
 
9.2%
) 65
 
9.2%
1 62
 
8.7%
2 43
 
6.1%
3 35
 
4.9%
6 34
 
4.8%
7 17
 
2.4%
4 16
 
2.3%
, 15
 
2.1%
Other values (12) 61
 
8.6%
Hangul
ValueCountFrequency (%)
영 94
 
7.8%
포 90
 
7.5%
등 89
 
7.4%
서 67
 
5.6%
동 67
 
5.6%
울 65
 
5.4%
로 65
 
5.4%
구 65
 
5.4%
시 65
 
5.4%
별 65
 
5.4%
Other values (63) 469
39.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)60.9%
Missing19
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean7275.9348
Minimum7202
Maximum7395
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-18T10:04:28.120308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7202
5-th percentile7211.25
Q17254
median7269
Q37303.25
95-th percentile7332.75
Maximum7395
Range193
Interquartile range (IQR)49.25

Descriptive statistics

Standard deviation39.02273
Coefficient of variation (CV)0.00536326
Kurtosis1.3469456
Mean7275.9348
Median Absolute Deviation (MAD)25
Skewness0.69953395
Sum334693
Variance1522.7734
MonotonicityNot monotonic
2024-05-18T10:04:28.712599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
7269 5
 
7.7%
7265 5
 
7.7%
7306 3
 
4.6%
7301 3
 
4.6%
7238 2
 
3.1%
7262 2
 
3.1%
7252 2
 
3.1%
7272 2
 
3.1%
7263 2
 
3.1%
7205 2
 
3.1%
Other values (18) 18
27.7%
(Missing) 19
29.2%
ValueCountFrequency (%)
7202 1
1.5%
7205 2
3.1%
7230 1
1.5%
7236 1
1.5%
7238 2
3.1%
7241 1
1.5%
7248 1
1.5%
7252 2
3.1%
7253 1
1.5%
7257 1
1.5%
ValueCountFrequency (%)
7395 1
 
1.5%
7373 1
 
1.5%
7335 1
 
1.5%
7326 1
 
1.5%
7320 1
 
1.5%
7318 1
 
1.5%
7308 1
 
1.5%
7306 3
4.6%
7305 1
 
1.5%
7304 1
 
1.5%

사업장명
Text

Distinct63
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size652.0 B
2024-05-18T10:04:29.563169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length13
Mean length8.4769231
Min length2

Characters and Unicode

Total characters551
Distinct characters153
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

Unique62 ?
Unique (%)95.4%

Sample

1st row여의도 관광호텔
2nd row영등포관광호텔
3rd row여의도관광호텔바
4th row맨하탄
5th row라스베가스
ValueCountFrequency (%)
호텔 9
 
7.9%
관광호텔 5
 
4.4%
여의도 5
 
4.4%
여의도관광호텔 3
 
2.6%
서울 3
 
2.6%
맨하탄 2
 
1.8%
라스베가스 2
 
1.8%
메리어트 2
 
1.8%
호텔arozo 2
 
1.8%
카카오 1
 
0.9%
Other values (80) 80
70.2%
2024-05-18T10:04:31.080344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49
 
8.9%
호 32
 
5.8%
텔 32
 
5.8%
스 17
 
3.1%
도 15
 
2.7%
관 15
 
2.7%
광 15
 
2.7%
여 13
 
2.4%
트 13
 
2.4%
의 12
 
2.2%
Other values (143) 338
61.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 374
67.9%
Uppercase Letter 78
 
14.2%
Space Separator 49
 
8.9%
Lowercase Letter 33
 
6.0%
Open Punctuation 7
 
1.3%
Close Punctuation 7
 
1.3%
Other Punctuation 2
 
0.4%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 32
 
8.6%
텔 32
 
8.6%
스 17
 
4.5%
도 15
 
4.0%
관 15
 
4.0%
광 15
 
4.0%
여 13
 
3.5%
트 13
 
3.5%
의 12
 
3.2%
이 9
 
2.4%
Other values (100) 201
53.7%
Uppercase Letter
ValueCountFrequency (%)
O 11
14.1%
R 8
10.3%
E 7
 
9.0%
S 7
 
9.0%
H 6
 
7.7%
T 6
 
7.7%
A 5
 
6.4%
L 4
 
5.1%
I 3
 
3.8%
N 3
 
3.8%
Other values (11) 18
23.1%
Lowercase Letter
ValueCountFrequency (%)
a 5
15.2%
r 4
12.1%
i 3
9.1%
o 3
9.1%
s 3
9.1%
e 3
9.1%
t 3
9.1%
u 2
 
6.1%
m 2
 
6.1%
l 1
 
3.0%
Other values (4) 4
12.1%
Open Punctuation
ValueCountFrequency (%)
( 6
85.7%
[ 1
 
14.3%
Close Punctuation
ValueCountFrequency (%)
) 6
85.7%
] 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
49
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 374
67.9%
Latin 111
 
20.1%
Common 66
 
12.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 32
 
8.6%
텔 32
 
8.6%
스 17
 
4.5%
도 15
 
4.0%
관 15
 
4.0%
광 15
 
4.0%
여 13
 
3.5%
트 13
 
3.5%
의 12
 
3.2%
이 9
 
2.4%
Other values (100) 201
53.7%
Latin
ValueCountFrequency (%)
O 11
 
9.9%
R 8
 
7.2%
E 7
 
6.3%
S 7
 
6.3%
H 6
 
5.4%
T 6
 
5.4%
a 5
 
4.5%
A 5
 
4.5%
L 4
 
3.6%
r 4
 
3.6%
Other values (25) 48
43.2%
Common
ValueCountFrequency (%)
49
74.2%
( 6
 
9.1%
) 6
 
9.1%
. 1
 
1.5%
] 1
 
1.5%
, 1
 
1.5%
[ 1
 
1.5%
2 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 374
67.9%
ASCII 177
32.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49
27.7%
O 11
 
6.2%
R 8
 
4.5%
E 7
 
4.0%
S 7
 
4.0%
( 6
 
3.4%
H 6
 
3.4%
) 6
 
3.4%
T 6
 
3.4%
a 5
 
2.8%
Other values (33) 66
37.3%
Hangul
ValueCountFrequency (%)
호 32
 
8.6%
텔 32
 
8.6%
스 17
 
4.5%
도 15
 
4.0%
관 15
 
4.0%
광 15
 
4.0%
여 13
 
3.5%
트 13
 
3.5%
의 12
 
3.2%
이 9
 
2.4%
Other values (100) 201
53.7%

최종수정일자
Date

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum2003-04-18 15:28:39
Maximum2024-05-10 15:35:45
2024-05-18T10:04:31.672006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:04:32.136008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
U
38 
I
27 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 38
58.5%
I 27
41.5%

Length

2024-05-18T10:04:32.660131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:04:33.020673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 38
58.5%
i 27
41.5%

데이터갱신일자
Date

Distinct38
Distinct (%)58.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:03:00
2024-05-18T10:04:33.494956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:04:34.030091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

좌표정보(X)
Real number (ℝ)

Distinct48
Distinct (%)73.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean191741.89
Minimum189552.02
Maximum193592
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-18T10:04:34.652862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189552.02
5-th percentile189769.85
Q1190705.32
median191894.79
Q3193001.2
95-th percentile193321.89
Maximum193592
Range4039.9786
Interquartile range (IQR)2295.8807

Descriptive statistics

Standard deviation1220.7494
Coefficient of variation (CV)0.0063666283
Kurtosis-1.3013453
Mean191741.89
Median Absolute Deviation (MAD)1124.8606
Skewness-0.20752559
Sum12463223
Variance1490229
MonotonicityNot monotonic
2024-05-18T10:04:35.136274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
193321.88651945 7
 
10.8%
193019.645823279 7
 
10.8%
192165.93453037 5
 
7.7%
192866.856097244 2
 
3.1%
191858.027306326 1
 
1.5%
190378.895367059 1
 
1.5%
190507.597888342 1
 
1.5%
192140.073900686 1
 
1.5%
190820.780294749 1
 
1.5%
191851.193004066 1
 
1.5%
Other values (38) 38
58.5%
ValueCountFrequency (%)
189552.021760333 1
1.5%
189670.698184757 1
1.5%
189680.769993867 1
1.5%
189758.735655025 1
1.5%
189814.291077523 1
1.5%
189850.75199983 1
1.5%
190171.844795511 1
1.5%
190182.956236984 1
1.5%
190239.788949405 1
1.5%
190256.76581931 1
1.5%
ValueCountFrequency (%)
193592.000380036 1
 
1.5%
193326.931018911 1
 
1.5%
193321.88651945 7
10.8%
193019.645823279 7
10.8%
193001.202811156 1
 
1.5%
192899.064795934 1
 
1.5%
192866.856097244 2
 
3.1%
192739.314354154 1
 
1.5%
192622.209000336 1
 
1.5%
192277.657623886 1
 
1.5%

좌표정보(Y)
Real number (ℝ)

Distinct48
Distinct (%)73.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean446945.16
Minimum444816.91
Maximum448739.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-18T10:04:35.624436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum444816.91
5-th percentile446101.5
Q1446508
median446847.7
Q3447552.08
95-th percentile447954.7
Maximum448739.13
Range3922.2205
Interquartile range (IQR)1044.0757

Descriptive statistics

Standard deviation702.99242
Coefficient of variation (CV)0.001572883
Kurtosis0.97721579
Mean446945.16
Median Absolute Deviation (MAD)493.63031
Skewness-0.11777429
Sum29051435
Variance494198.34
MonotonicityNot monotonic
2024-05-18T10:04:36.196861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
447552.076521358 7
 
10.8%
447560.162310375 7
 
10.8%
446508.000792709 5
 
7.7%
447341.334688661 2
 
3.1%
446421.213263331 1
 
1.5%
446678.151132037 1
 
1.5%
448477.522453196 1
 
1.5%
446141.887053246 1
 
1.5%
446822.685784485 1
 
1.5%
444816.908814418 1
 
1.5%
Other values (38) 38
58.5%
ValueCountFrequency (%)
444816.908814418 1
1.5%
445302.156117372 1
1.5%
445744.288122131 1
1.5%
446098.555926507 1
1.5%
446113.281907896 1
1.5%
446141.887053246 1
1.5%
446144.883366505 1
1.5%
446153.532108237 1
1.5%
446159.381031744 1
1.5%
446266.920603505 1
1.5%
ValueCountFrequency (%)
448739.129269078 1
 
1.5%
448495.794800958 1
 
1.5%
448477.522453196 1
 
1.5%
448051.590520012 1
 
1.5%
447567.13830193 1
 
1.5%
447560.162310375 7
10.8%
447552.076521358 7
10.8%
447341.334688661 2
 
3.1%
447248.142200812 1
 
1.5%
447211.490359912 1
 
1.5%

문화체육업종명
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
관광숙박업
37 
<NA>
28 

Length

Max length5
Median length5
Mean length4.5692308
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광숙박업 37
56.9%
<NA> 28
43.1%

Length

2024-05-18T10:04:36.665591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:04:36.971609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광숙박업 37
56.9%
na 28
43.1%

문화사업자구분명
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
44 
관광사업
21 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
67.7%
관광사업 21
32.3%

Length

2024-05-18T10:04:37.302464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:04:37.710811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
67.7%
관광사업 21
32.3%

지역구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
52 
준공업지역
8 
일반상업지역
 
2
준주거지역
 
2
상업지역
 
1

Length

Max length6
Median length4
Mean length4.2153846
Min length4

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 52
80.0%
준공업지역 8
 
12.3%
일반상업지역 2
 
3.1%
준주거지역 2
 
3.1%
상업지역 1
 
1.5%

Length

2024-05-18T10:04:38.309890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:04:38.912053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 52
80.0%
준공업지역 8
 
12.3%
일반상업지역 2
 
3.1%
준주거지역 2
 
3.1%
상업지역 1
 
1.5%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)24.3%
Missing28
Missing (%)43.1%
Infinite0
Infinite (%)0.0%
Mean5.027027
Minimum0
Maximum22
Zeros22
Zeros (%)33.8%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-18T10:04:39.398236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q39
95-th percentile20.4
Maximum22
Range22
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.9501658
Coefficient of variation (CV)1.3825599
Kurtosis0.32188478
Mean5.027027
Median Absolute Deviation (MAD)0
Skewness1.1554431
Sum186
Variance48.304805
MonotonicityNot monotonic
2024-05-18T10:04:39.805148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 22
33.8%
9 5
 
7.7%
22 2
 
3.1%
8 2
 
3.1%
10 2
 
3.1%
16 1
 
1.5%
20 1
 
1.5%
14 1
 
1.5%
11 1
 
1.5%
(Missing) 28
43.1%
ValueCountFrequency (%)
0 22
33.8%
8 2
 
3.1%
9 5
 
7.7%
10 2
 
3.1%
11 1
 
1.5%
14 1
 
1.5%
16 1
 
1.5%
20 1
 
1.5%
22 2
 
3.1%
ValueCountFrequency (%)
22 2
 
3.1%
20 1
 
1.5%
16 1
 
1.5%
14 1
 
1.5%
11 1
 
1.5%
10 2
 
3.1%
9 5
 
7.7%
8 2
 
3.1%
0 22
33.8%

주변환경명
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
57 
학교정화(상대)
 
5
기타
 
2
주택가주변
 
1

Length

Max length8
Median length4
Mean length4.2615385
Min length2

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 57
87.7%
학교정화(상대) 5
 
7.7%
기타 2
 
3.1%
주택가주변 1
 
1.5%

Length

2024-05-18T10:04:40.371361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:04:41.249230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
87.7%
학교정화(상대 5
 
7.7%
기타 2
 
3.1%
주택가주변 1
 
1.5%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

건물용도명
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
56 
호텔
 
5
숙박시설
 
4

Length

Max length4
Median length4
Mean length3.8461538
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> 56
86.2%
호텔 5
 
7.7%
숙박시설 4
 
6.2%

Length

2024-05-18T10:04:41.869949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:04:42.245414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
86.2%
호텔 5
 
7.7%
숙박시설 4
 
6.2%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)24.3%
Missing28
Missing (%)43.1%
Infinite0
Infinite (%)0.0%
Mean4.7837838
Minimum0
Maximum20
Zeros21
Zeros (%)32.3%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-18T10:04:42.546224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38
95-th percentile17.6
Maximum20
Range20
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.2233214
Coefficient of variation (CV)1.3009203
Kurtosis0.069542977
Mean4.7837838
Median Absolute Deviation (MAD)0
Skewness1.0208091
Sum177
Variance38.72973
MonotonicityNot monotonic
2024-05-18T10:04:42.942852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 21
32.3%
8 6
 
9.2%
12 2
 
3.1%
20 2
 
3.1%
9 2
 
3.1%
13 1
 
1.5%
17 1
 
1.5%
7 1
 
1.5%
10 1
 
1.5%
(Missing) 28
43.1%
ValueCountFrequency (%)
0 21
32.3%
7 1
 
1.5%
8 6
 
9.2%
9 2
 
3.1%
10 1
 
1.5%
12 2
 
3.1%
13 1
 
1.5%
17 1
 
1.5%
20 2
 
3.1%
ValueCountFrequency (%)
20 2
 
3.1%
17 1
 
1.5%
13 1
 
1.5%
12 2
 
3.1%
10 1
 
1.5%
9 2
 
3.1%
8 6
 
9.2%
7 1
 
1.5%
0 21
32.3%

지하층수
Categorical

Distinct5
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
28 
0
21 
1
10 
2
4 
3
 
2

Length

Max length4
Median length1
Mean length2.2923077
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
43.1%
0 21
32.3%
1 10
 
15.4%
2 4
 
6.2%
3 2
 
3.1%

Length

2024-05-18T10:04:43.339801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:04:43.708277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
43.1%
0 21
32.3%
1 10
 
15.4%
2 4
 
6.2%
3 2
 
3.1%

객실수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)32.4%
Missing28
Missing (%)43.1%
Infinite0
Infinite (%)0.0%
Mean18.108108
Minimum0
Maximum149
Zeros26
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-18T10:04:43.965273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q327
95-th percentile95
Maximum149
Range149
Interquartile range (IQR)27

Descriptive statistics

Standard deviation35.05534
Coefficient of variation (CV)1.9358919
Kurtosis5.3108211
Mean18.108108
Median Absolute Deviation (MAD)0
Skewness2.2954752
Sum670
Variance1228.8769
MonotonicityNot monotonic
2024-05-18T10:04:44.257253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 26
40.0%
107 1
 
1.5%
55 1
 
1.5%
92 1
 
1.5%
59 1
 
1.5%
149 1
 
1.5%
44 1
 
1.5%
49 1
 
1.5%
27 1
 
1.5%
34 1
 
1.5%
Other values (2) 2
 
3.1%
(Missing) 28
43.1%
ValueCountFrequency (%)
0 26
40.0%
21 1
 
1.5%
27 1
 
1.5%
33 1
 
1.5%
34 1
 
1.5%
44 1
 
1.5%
49 1
 
1.5%
55 1
 
1.5%
59 1
 
1.5%
92 1
 
1.5%
ValueCountFrequency (%)
149 1
1.5%
107 1
1.5%
92 1
1.5%
59 1
1.5%
55 1
1.5%
49 1
1.5%
44 1
1.5%
34 1
1.5%
33 1
1.5%
27 1
1.5%

건축연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)21.6%
Missing28
Missing (%)43.1%
Infinite0
Infinite (%)0.0%
Mean640.37838
Minimum0
Maximum7817
Zeros30
Zeros (%)46.2%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-18T10:04:44.548828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4609.4
Maximum7817
Range7817
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1754.6165
Coefficient of variation (CV)2.7399683
Kurtosis8.9459529
Mean640.37838
Median Absolute Deviation (MAD)0
Skewness3.0407517
Sum23694
Variance3078679
MonotonicityNot monotonic
2024-05-18T10:04:44.891325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 30
46.2%
5619 1
 
1.5%
4357 1
 
1.5%
3470 1
 
1.5%
7817 1
 
1.5%
1252 1
 
1.5%
731 1
 
1.5%
448 1
 
1.5%
(Missing) 28
43.1%
ValueCountFrequency (%)
0 30
46.2%
448 1
 
1.5%
731 1
 
1.5%
1252 1
 
1.5%
3470 1
 
1.5%
4357 1
 
1.5%
5619 1
 
1.5%
7817 1
 
1.5%
ValueCountFrequency (%)
7817 1
 
1.5%
5619 1
 
1.5%
4357 1
 
1.5%
3470 1
 
1.5%
1252 1
 
1.5%
731 1
 
1.5%
448 1
 
1.5%
0 30
46.2%

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

선박총톤수
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
0
37 
<NA>
28 

Length

Max length4
Median length1
Mean length2.2923077
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 37
56.9%
<NA> 28
43.1%

Length

2024-05-18T10:04:45.313932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:04:45.803086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 37
56.9%
na 28
43.1%

선박척수
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
0
37 
<NA>
28 

Length

Max length4
Median length1
Mean length2.2923077
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 37
56.9%
<NA> 28
43.1%

Length

2024-05-18T10:04:46.262450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:04:46.692496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 37
56.9%
na 28
43.1%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

무대면적
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
0
37 
<NA>
28 

Length

Max length4
Median length1
Mean length2.2923077
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 37
56.9%
<NA> 28
43.1%

Length

2024-05-18T10:04:47.064270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:04:47.400894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 37
56.9%
na 28
43.1%

좌석수
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
0
37 
<NA>
28 

Length

Max length4
Median length1
Mean length2.2923077
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 37
56.9%
<NA> 28
43.1%

Length

2024-05-18T10:04:47.774772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:04:48.104488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 37
56.9%
na 28
43.1%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

회의실별동시수용인원
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
0
37 
<NA>
28 

Length

Max length4
Median length1
Mean length2.2923077
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 37
56.9%
<NA> 28
43.1%

Length

2024-05-18T10:04:48.480677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:04:48.825513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 37
56.9%
na 28
43.1%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)51.4%
Missing28
Missing (%)43.1%
Infinite0
Infinite (%)0.0%
Mean1308.9886
Minimum0
Maximum7817.08
Zeros19
Zeros (%)29.2%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-18T10:04:49.317659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3938.98
95-th percentile6194.85
Maximum7817.08
Range7817.08
Interquartile range (IQR)938.98

Descriptive statistics

Standard deviation2268.1274
Coefficient of variation (CV)1.7327327
Kurtosis2.3360077
Mean1308.9886
Median Absolute Deviation (MAD)0
Skewness1.8708171
Sum48432.58
Variance5144401.9
MonotonicityNot monotonic
2024-05-18T10:04:49.802905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 19
29.2%
836.55 1
 
1.5%
447.6 1
 
1.5%
730.94 1
 
1.5%
851.67 1
 
1.5%
673.47 1
 
1.5%
1252.4 1
 
1.5%
1574.46 1
 
1.5%
490.75 1
 
1.5%
5619.46 1
 
1.5%
Other values (9) 9
 
13.8%
(Missing) 28
43.1%
ValueCountFrequency (%)
0.0 19
29.2%
393.67 1
 
1.5%
447.6 1
 
1.5%
490.75 1
 
1.5%
599.79 1
 
1.5%
673.47 1
 
1.5%
730.94 1
 
1.5%
836.55 1
 
1.5%
851.67 1
 
1.5%
938.98 1
 
1.5%
ValueCountFrequency (%)
7817.08 1
1.5%
7665.21 1
1.5%
5827.26 1
1.5%
5619.46 1
1.5%
4886.43 1
1.5%
4357.06 1
1.5%
3469.8 1
1.5%
1574.46 1
1.5%
1252.4 1
1.5%
938.98 1
1.5%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

놀이시설수
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
0
37 
<NA>
28 

Length

Max length4
Median length1
Mean length2.2923077
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 37
56.9%
<NA> 28
43.1%

Length

2024-05-18T10:04:50.356410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:04:50.750221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 37
56.9%
na 28
43.1%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

자본금
Categorical

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size652.0 B
0
35 
<NA>
28 
300000000
 
1
990000000
 
1

Length

Max length9
Median length1
Mean length2.5384615
Min length1

Unique

Unique2 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 35
53.8%
<NA> 28
43.1%
300000000 1
 
1.5%
990000000 1
 
1.5%

Length

2024-05-18T10:04:51.315315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:04:51.821999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
53.8%
na 28
43.1%
300000000 1
 
1.5%
990000000 1
 
1.5%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)51.4%
Missing28
Missing (%)43.1%
Infinite0
Infinite (%)0.0%
Mean1308.973
Minimum0
Maximum7817
Zeros19
Zeros (%)29.2%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-18T10:04:52.267791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3939
95-th percentile6194.6
Maximum7817
Range7817
Interquartile range (IQR)939

Descriptive statistics

Standard deviation2268.0355
Coefficient of variation (CV)1.7326832
Kurtosis2.336196
Mean1308.973
Median Absolute Deviation (MAD)0
Skewness1.8708397
Sum48432
Variance5143984.9
MonotonicityNot monotonic
2024-05-18T10:04:52.622519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 19
29.2%
837 1
 
1.5%
448 1
 
1.5%
731 1
 
1.5%
852 1
 
1.5%
673 1
 
1.5%
1252 1
 
1.5%
1574 1
 
1.5%
491 1
 
1.5%
5619 1
 
1.5%
Other values (9) 9
 
13.8%
(Missing) 28
43.1%
ValueCountFrequency (%)
0 19
29.2%
394 1
 
1.5%
448 1
 
1.5%
491 1
 
1.5%
600 1
 
1.5%
673 1
 
1.5%
731 1
 
1.5%
837 1
 
1.5%
852 1
 
1.5%
939 1
 
1.5%
ValueCountFrequency (%)
7817 1
1.5%
7665 1
1.5%
5827 1
1.5%
5619 1
1.5%
4886 1
1.5%
4357 1
1.5%
3470 1
1.5%
1574 1
1.5%
1252 1
1.5%
939 1
1.5%

관광숙박업상세명
Categorical

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
47 
호스텔업
10 
관광호텔업
7 
가족호텔업
 
1

Length

Max length5
Median length4
Mean length4.1230769
Min length4

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 47
72.3%
호스텔업 10
 
15.4%
관광호텔업 7
 
10.8%
가족호텔업 1
 
1.5%

Length

2024-05-18T10:04:53.016710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:04:53.351815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
72.3%
호스텔업 10
 
15.4%
관광호텔업 7
 
10.8%
가족호텔업 1
 
1.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모관광숙박업상세명
03180000CDFI226003197500000119750318<NA>3폐업3폐업20200610<NA><NA><NA>02-782-0121<NA><NA>서울특별시 영등포구 여의도동 10-3번지서울특별시 영등포구 은행로 62 (여의도동)7241여의도 관광호텔2020-06-10 19:13:18U2020-06-12 02:40:00.0<NA>193321.886519447552.076521관광숙박업관광사업<NA>0<NA><NA><NA><NA>001075619<NA><NA>00<NA>00<NA>05619.46<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>5619관광호텔업
13180000CDFI226003198800000119880906<NA>3폐업3폐업20040517<NA><NA><NA><NA><NA>150045서울특별시 영등포구 당산동5가 33-10번지서울특별시 영등포구 선유동2로 72 (당산동5가)<NA>영등포관광호텔2004-05-17 10:45:14I2018-08-31 23:59:59.0<NA>190981.422689448051.59052관광숙박업관광사업<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0<NA>
23180000CDFI226003199600000119960627<NA>4취소/말소/만료/정지/중지35직권말소<NA><NA><NA><NA><NA><NA>150868서울특별시 영등포구 여의도동 10-3번지서울특별시 영등포구 은행로 62 (여의도동)<NA>여의도관광호텔바2010-03-15 17:08:24I2018-08-31 23:59:59.0<NA>193321.886519447552.076521관광숙박업관광사업<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0<NA>
33180000CDFI226003199600000219960704<NA>4취소/말소/만료/정지/중지35직권말소<NA><NA><NA><NA><NA><NA>150870서울특별시 영등포구 여의도동 13-3번지 1층서울특별시 영등포구 국회대로76길 16 (여의도동,1층)<NA>맨하탄2010-03-15 17:08:06I2018-08-31 23:59:59.0<NA>193019.645823447560.16231관광숙박업관광사업<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0<NA>
43180000CDFI226003199600000419961028<NA>4취소/말소/만료/정지/중지35직권말소<NA><NA><NA><NA><NA><NA>150901서울특별시 영등포구 영등포동2가 94-154번지서울특별시 영등포구 버드나루로 23 (영등포동2가)<NA>라스베가스2010-03-15 17:07:12I2018-08-31 23:59:59.0<NA>192165.93453446508.000793관광숙박업관광사업<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0<NA>
53180000CDFI226003199600000619961119<NA>4취소/말소/만료/정지/중지35직권말소<NA><NA><NA><NA><NA><NA>150870서울특별시 영등포구 여의도동 13-3번지서울특별시 영등포구 국회대로76길 16 (여의도동)<NA>스카이라운지,나이트2010-03-15 17:07:47I2018-08-31 23:59:59.0<NA>193019.645823447560.16231관광숙박업관광사업<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0<NA>
63180000CDFI226003199600000719961021<NA>3폐업3폐업20170829<NA><NA><NA>2672-3535<NA><NA>서울특별시 영등포구 영등포동2가 94-154번지서울특별시 영등포구 버드나루로 23 (영등포동2가, 도도관광호텔)7253도도관광호텔2017-08-29 16:14:58I2018-08-31 23:59:59.0<NA>192165.93453446508.000793관광숙박업관광사업<NA>0<NA><NA><NA><NA>00554357<NA><NA>00<NA>00<NA>04357.06<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>4357관광호텔업
73180000CDFI226003199700000119970303<NA>4취소/말소/만료/정지/중지35직권말소<NA><NA><NA><NA><NA><NA>150870서울특별시 영등포구 여의도동 13-3번지서울특별시 영등포구 국회대로76길 16 (여의도동)<NA>맨하탄단란주점2010-03-15 17:08:42I2018-08-31 23:59:59.0<NA>193019.645823447560.16231관광숙박업관광사업<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0<NA>
83180000CDFI226003199700000219970314<NA>4취소/말소/만료/정지/중지35직권말소<NA><NA><NA><NA><NA><NA>150868서울특별시 영등포구 여의도동 10-3번지서울특별시 영등포구 은행로 62 (여의도동)<NA>여의도관광호텔나이트2010-03-15 17:02:58I2018-08-31 23:59:59.0<NA>193321.886519447552.076521관광숙박업관광사업<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0<NA>
93180000CDFI226003199700000319970624<NA>4취소/말소/만료/정지/중지35직권말소<NA><NA><NA><NA><NA><NA>150868서울특별시 영등포구 여의도동 10-3번지서울특별시 영등포구 은행로 62 (여의도동)<NA>여의도관광호텔2010-03-15 17:02:41I2018-08-31 23:59:59.0<NA>193321.886519447552.076521관광숙박업관광사업<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모관광숙박업상세명
553180000CDFI226003202000000320200812<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 당산동1가 186-51 SH호스텔서울특별시 영등포구 영등포로25길 20, SH호스텔 (당산동1가)7265SH호스텔2021-08-20 11:13:54U2021-08-22 02:40:00.0<NA>190957.860329446734.147049관광숙박업<NA>준공업지역10주택가주변<NA><NA><NA>9100<NA><NA>00<NA>00<NA>0836.55<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>837호스텔업
563180000CDFI22600320210000012021-02-17<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3395-6000<NA><NA>서울특별시 영등포구 여의도동 22 파크원서울특별시 영등포구 여의대로 108, 파크원호텔 (여의도동)7335페어몬트 앰배서더 서울(Fairmont Ambassador Seoul)2023-09-27 09:28:57U2022-12-08 22:09:00.0<NA>193592.00038447092.629433<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><NA>
573180000CDFI226003202100000220211202<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 양평동3가 33-5서울특별시 영등포구 선유서로31길 10-4 (양평동3가)7269상상그린 G. HOUSE2022-12-12 16:56:11U2021-11-01 23:04:00.0<NA>189814.291078447181.999973<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><NA>
583180000CDFI22600320210000032021-12-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 양평동1가 136서울특별시 영등포구 선유로23길 4 (양평동1가)7272ROJIN(로진)2023-03-09 13:45:10U2022-12-02 23:01:00.0<NA>190171.844796446760.131274<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><NA>
593180000CDFI226003202200000120220526<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 양평동1가 31-5 가온서울특별시 영등포구 선유로24길 3-3, 가온 (양평동1가)7262가온2022-05-26 10:54:11I2021-12-04 22:08:00.0<NA>190266.579204446769.272182<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><NA>
603180000CDFI226003202200000220220818<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동4가 104-17 오베르서울특별시 영등포구 영신로30길 14-1, 오베르 (영등포동4가)7301오베르2022-12-12 16:54:49U2021-11-01 23:04:00.0<NA>191332.505449446266.920604<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><NA>
613180000CDFI226003202200000320221122<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 당산동1가 186-74 퍼스티어 호스텔서울특별시 영등포구 영등포로27길 17, 퍼스티어 호스텔 (당산동1가)7265SD Firstier2022-12-12 16:55:32U2021-11-01 23:04:00.0<NA>191019.994049446713.408295<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><NA>
623180000CDFI22600320230000012023-08-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 13-18 컴포트 인 여의도서울특별시 영등포구 국회대로72길 7, 컴포트 인 여의도 (여의도동)7238컴포트 인 여의도2024-01-10 17:23:51U2023-11-30 23:02:00.0<NA>192899.064796447567.138302<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><NA>
633180000CDFI22600320240000012024-03-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 도림동 202-48서울특별시 영등포구 도영로11길 29 (도림동)7373스프링 플라워2024-04-08 10:56:09U2023-12-03 23:00:00.0<NA>190705.322158445302.156117<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><NA>
643180000CDFI22600320240000022024-04-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 양평동3가 33-1서울특별시 영등포구 선유서로31길 6-12 (양평동3가)7269CENTRAL TOWER2024-04-09 17:54:43I2023-12-03 23:01:00.0<NA>189850.752447211.49036<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><NA>