Overview

Dataset statistics

Number of variables60
Number of observations52
Missing cells1306
Missing cells (%)41.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.6 KiB
Average record size in memory524.5 B

Variable types

Categorical20
Text7
DateTime4
Unsupported18
Numeric11

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
Author성북구
URLhttps://data.seoul.go.kr/dataList/OA-17559/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
인허가취소일자 is highly imbalanced (82.7%)Imbalance
객실수 is highly imbalanced (60.9%)Imbalance
건축연면적 is highly imbalanced (60.9%)Imbalance
선박총톤수 is highly imbalanced (60.9%)Imbalance
선박척수 is highly imbalanced (60.9%)Imbalance
무대면적 is highly imbalanced (60.9%)Imbalance
좌석수 is highly imbalanced (60.9%)Imbalance
회의실별동시수용인원 is highly imbalanced (60.9%)Imbalance
놀이시설수 is highly imbalanced (60.9%)Imbalance
폐업일자 has 21 (40.4%) missing valuesMissing
휴업시작일자 has 52 (100.0%) missing valuesMissing
휴업종료일자 has 52 (100.0%) missing valuesMissing
재개업일자 has 52 (100.0%) missing valuesMissing
전화번호 has 17 (32.7%) missing valuesMissing
소재지면적 has 52 (100.0%) missing valuesMissing
소재지우편번호 has 22 (42.3%) missing valuesMissing
도로명주소 has 2 (3.8%) missing valuesMissing
도로명우편번호 has 19 (36.5%) missing valuesMissing
업태구분명 has 52 (100.0%) missing valuesMissing
좌표정보(X) has 2 (3.8%) missing valuesMissing
좌표정보(Y) has 2 (3.8%) missing valuesMissing
지역구분명 has 46 (88.5%) missing valuesMissing
총층수 has 36 (69.2%) missing valuesMissing
주변환경명 has 51 (98.1%) missing valuesMissing
제작취급품목내용 has 52 (100.0%) missing valuesMissing
지상층수 has 31 (59.6%) missing valuesMissing
영문상호명 has 52 (100.0%) missing valuesMissing
영문상호주소 has 52 (100.0%) missing valuesMissing
선박제원 has 52 (100.0%) missing valuesMissing
기념품종류 has 52 (100.0%) missing valuesMissing
시설면적 has 30 (57.7%) missing valuesMissing
놀이기구수내역 has 52 (100.0%) missing valuesMissing
방송시설유무 has 52 (100.0%) missing valuesMissing
발전시설유무 has 52 (100.0%) missing valuesMissing
의무실유무 has 52 (100.0%) missing valuesMissing
안내소유무 has 52 (100.0%) missing valuesMissing
기획여행보험시작일자 has 52 (100.0%) missing valuesMissing
기획여행보험종료일자 has 52 (100.0%) missing valuesMissing
자본금 has 19 (36.5%) missing valuesMissing
보험시작일자 has 21 (40.4%) missing valuesMissing
보험종료일자 has 21 (40.4%) missing valuesMissing
부대시설내역 has 52 (100.0%) missing valuesMissing
시설규모 has 30 (57.7%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 6 (11.5%) zerosZeros
지상층수 has 6 (11.5%) zerosZeros
시설면적 has 10 (19.2%) zerosZeros
자본금 has 1 (1.9%) zerosZeros
시설규모 has 10 (19.2%) zerosZeros

Reproduction

Analysis started2024-04-29 19:21:06.398681
Analysis finished2024-04-29 19:21:07.273045
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
3070000
52 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3070000
2nd row3070000
3rd row3070000
4th row3070000
5th row3070000

Common Values

ValueCountFrequency (%)
3070000 52
100.0%

Length

2024-04-30T04:21:07.330616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:07.402519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3070000 52
100.0%

관리번호
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2024-04-30T04:21:07.540751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1040
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

Unique52 ?
Unique (%)100.0%

Sample

1st rowCDFI2260011991000001
2nd rowCDFI2260011991000002
3rd rowCDFI2260011995000001
4th rowCDFI2260011995000002
5th rowCDFI2260011995000003
ValueCountFrequency (%)
cdfi2260011991000001 1
 
1.9%
cdfi2260011991000002 1
 
1.9%
cdfi2260012017000004 1
 
1.9%
cdfi2260012012000002 1
 
1.9%
cdfi2260012012000003 1
 
1.9%
cdfi2260012014000001 1
 
1.9%
cdfi2260012015000001 1
 
1.9%
cdfi2260012016000001 1
 
1.9%
cdfi2260012016000002 1
 
1.9%
cdfi2260012016000003 1
 
1.9%
Other values (42) 42
80.8%
2024-04-30T04:21:07.826440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 429
41.2%
2 178
17.1%
1 113
 
10.9%
6 59
 
5.7%
C 52
 
5.0%
D 52
 
5.0%
F 52
 
5.0%
I 52
 
5.0%
9 16
 
1.5%
3 10
 
1.0%
Other values (4) 27
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 832
80.0%
Uppercase Letter 208
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 429
51.6%
2 178
21.4%
1 113
 
13.6%
6 59
 
7.1%
9 16
 
1.9%
3 10
 
1.2%
5 9
 
1.1%
7 8
 
1.0%
4 6
 
0.7%
8 4
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
C 52
25.0%
D 52
25.0%
F 52
25.0%
I 52
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 832
80.0%
Latin 208
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 429
51.6%
2 178
21.4%
1 113
 
13.6%
6 59
 
7.1%
9 16
 
1.9%
3 10
 
1.2%
5 9
 
1.1%
7 8
 
1.0%
4 6
 
0.7%
8 4
 
0.5%
Latin
ValueCountFrequency (%)
C 52
25.0%
D 52
25.0%
F 52
25.0%
I 52
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1040
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 429
41.2%
2 178
17.1%
1 113
 
10.9%
6 59
 
5.7%
C 52
 
5.0%
D 52
 
5.0%
F 52
 
5.0%
I 52
 
5.0%
9 16
 
1.5%
3 10
 
1.0%
Other values (4) 27
 
2.6%

인허가일자
Date

Distinct51
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size548.0 B
Minimum1991-02-12 00:00:00
Maximum2023-10-23 00:00:00
2024-04-30T04:21:07.944400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:21:08.060669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
50 
20110714
 
1
20140612
 
1

Length

Max length8
Median length4
Mean length4.1538462
Min length4

Unique

Unique2 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 50
96.2%
20110714 1
 
1.9%
20140612 1
 
1.9%

Length

2024-04-30T04:21:08.186332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:08.274852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
96.2%
20110714 1
 
1.9%
20140612 1
 
1.9%

영업상태코드
Categorical

Distinct4
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size548.0 B
3
30 
1
18 
4
 
3
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st row5
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 30
57.7%
1 18
34.6%
4 3
 
5.8%
5 1
 
1.9%

Length

2024-04-30T04:21:08.357990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:08.436928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 30
57.7%
1 18
34.6%
4 3
 
5.8%
5 1
 
1.9%

영업상태명
Categorical

Distinct4
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size548.0 B
폐업
30 
영업/정상
18 
취소/말소/만료/정지/중지
 
3
제외/삭제/전출
 
1

Length

Max length14
Median length2
Mean length3.8461538
Min length2

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st row제외/삭제/전출
2nd row폐업
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 30
57.7%
영업/정상 18
34.6%
취소/말소/만료/정지/중지 3
 
5.8%
제외/삭제/전출 1
 
1.9%

Length

2024-04-30T04:21:08.527366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:08.609552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 30
57.7%
영업/정상 18
34.6%
취소/말소/만료/정지/중지 3
 
5.8%
제외/삭제/전출 1
 
1.9%

상세영업상태코드
Categorical

Distinct5
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size548.0 B
3
30 
13
18 
31
 
2
15
 
1
30
 
1

Length

Max length2
Median length1
Mean length1.4230769
Min length1

Unique

Unique2 ?
Unique (%)3.8%

Sample

1st row15
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 30
57.7%
13 18
34.6%
31 2
 
3.8%
15 1
 
1.9%
30 1
 
1.9%

Length

2024-04-30T04:21:08.706455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:08.795282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 30
57.7%
13 18
34.6%
31 2
 
3.8%
15 1
 
1.9%
30 1
 
1.9%

상세영업상태명
Categorical

Distinct5
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size548.0 B
폐업
30 
영업중
18 
등록취소
 
2
전출
 
1
허가취소
 
1

Length

Max length4
Median length2
Mean length2.4615385
Min length2

Unique

Unique2 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 30
57.7%
영업중 18
34.6%
등록취소 2
 
3.8%
전출 1
 
1.9%
허가취소 1
 
1.9%

Length

2024-04-30T04:21:08.889719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:09.006018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 30
57.7%
영업중 18
34.6%
등록취소 2
 
3.8%
전출 1
 
1.9%
허가취소 1
 
1.9%

폐업일자
Date

MISSING 

Distinct31
Distinct (%)100.0%
Missing21
Missing (%)40.4%
Memory size548.0 B
Minimum1999-03-19 00:00:00
Maximum2023-08-16 00:00:00
2024-04-30T04:21:09.100761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:21:09.204412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

전화번호
Text

MISSING 

Distinct35
Distinct (%)100.0%
Missing17
Missing (%)32.7%
Memory size548.0 B
2024-04-30T04:21:09.377937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.9142857
Min length8

Characters and Unicode

Total characters347
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)100.0%

Sample

1st row984-1161
2nd row9250-600
3rd row736-0712
4th row966-1383
5th row743-0011
ValueCountFrequency (%)
02 4
 
9.5%
984-1161 1
 
2.4%
3292 1
 
2.4%
02-2275-2300 1
 
2.4%
02-6224-4300 1
 
2.4%
469-8885 1
 
2.4%
6339-4300 1
 
2.4%
9121830 1
 
2.4%
02-6080-4282 1
 
2.4%
0119 1
 
2.4%
Other values (29) 29
69.0%
2024-04-30T04:21:09.653304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 48
13.8%
0 44
12.7%
- 43
12.4%
1 34
9.8%
3 28
8.1%
8 27
7.8%
4 25
7.2%
9 24
6.9%
6 24
6.9%
7 24
6.9%
Other values (2) 26
7.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 297
85.6%
Dash Punctuation 43
 
12.4%
Space Separator 7
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 48
16.2%
0 44
14.8%
1 34
11.4%
3 28
9.4%
8 27
9.1%
4 25
8.4%
9 24
8.1%
6 24
8.1%
7 24
8.1%
5 19
 
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 347
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 48
13.8%
0 44
12.7%
- 43
12.4%
1 34
9.8%
3 28
8.1%
8 27
7.8%
4 25
7.2%
9 24
6.9%
6 24
6.9%
7 24
6.9%
Other values (2) 26
7.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 347
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 48
13.8%
0 44
12.7%
- 43
12.4%
1 34
9.8%
3 28
8.1%
8 27
7.8%
4 25
7.2%
9 24
6.9%
6 24
6.9%
7 24
6.9%
Other values (2) 26
7.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)70.0%
Missing22
Missing (%)42.3%
Infinite0
Infinite (%)0.0%
Mean136466.07
Minimum136031
Maximum136891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-04-30T04:21:09.769727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum136031
5-th percentile136032
Q1136055
median136739.5
Q3136817
95-th percentile136869.4
Maximum136891
Range860
Interquartile range (IQR)762

Descriptive statistics

Standard deviation385.87526
Coefficient of variation (CV)0.0028276279
Kurtosis-2.0860117
Mean136466.07
Median Absolute Deviation (MAD)142.5
Skewness-0.1315595
Sum4093982
Variance148899.72
MonotonicityNot monotonic
2024-04-30T04:21:09.857667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
136036 3
 
5.8%
136800 3
 
5.8%
136111 2
 
3.8%
136844 2
 
3.8%
136085 2
 
3.8%
136817 2
 
3.8%
136032 2
 
3.8%
136891 1
 
1.9%
136777 1
 
1.9%
136035 1
 
1.9%
Other values (11) 11
21.2%
(Missing) 22
42.3%
ValueCountFrequency (%)
136031 1
 
1.9%
136032 2
3.8%
136035 1
 
1.9%
136036 3
5.8%
136045 1
 
1.9%
136085 2
3.8%
136090 1
 
1.9%
136110 1
 
1.9%
136111 2
3.8%
136702 1
 
1.9%
ValueCountFrequency (%)
136891 1
 
1.9%
136873 1
 
1.9%
136865 1
 
1.9%
136844 2
3.8%
136825 1
 
1.9%
136823 1
 
1.9%
136817 2
3.8%
136816 1
 
1.9%
136813 1
 
1.9%
136800 3
5.8%

지번주소
Text

Distinct51
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size548.0 B
2024-04-30T04:21:10.063387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length33
Mean length26.057692
Min length19

Characters and Unicode

Total characters1355
Distinct characters97
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)96.2%

Sample

1st row서울특별시 성북구 길음동 1070-19
2nd row서울특별시 성북구 길음동 33-13번지
3rd row서울특별시 성북구 하월곡동 88-16 9통6반
4th row서울특별시 성북구 삼선동5가 261-0
5th row서울특별시 성북구 길음동 937-0
ValueCountFrequency (%)
서울특별시 52
21.0%
성북구 52
21.0%
길음동 10
 
4.0%
정릉동 5
 
2.0%
장위동 5
 
2.0%
석관동 5
 
2.0%
2층 4
 
1.6%
성북동 3
 
1.2%
하월곡동 3
 
1.2%
동소문동6가 3
 
1.2%
Other values (97) 106
42.7%
2024-04-30T04:21:10.387597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
237
 
17.5%
동 68
 
5.0%
1 60
 
4.4%
성 56
 
4.1%
북 56
 
4.1%
시 53
 
3.9%
서 52
 
3.8%
구 52
 
3.8%
울 52
 
3.8%
별 52
 
3.8%
Other values (87) 617
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 810
59.8%
Decimal Number 264
 
19.5%
Space Separator 237
 
17.5%
Dash Punctuation 38
 
2.8%
Close Punctuation 3
 
0.2%
Open Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 68
 
8.4%
성 56
 
6.9%
북 56
 
6.9%
시 53
 
6.5%
서 52
 
6.4%
구 52
 
6.4%
울 52
 
6.4%
별 52
 
6.4%
특 52
 
6.4%
지 37
 
4.6%
Other values (73) 280
34.6%
Decimal Number
ValueCountFrequency (%)
1 60
22.7%
2 38
14.4%
3 35
13.3%
4 27
10.2%
6 22
 
8.3%
0 21
 
8.0%
5 19
 
7.2%
8 17
 
6.4%
7 16
 
6.1%
9 9
 
3.4%
Space Separator
ValueCountFrequency (%)
237
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 810
59.8%
Common 545
40.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 68
 
8.4%
성 56
 
6.9%
북 56
 
6.9%
시 53
 
6.5%
서 52
 
6.4%
구 52
 
6.4%
울 52
 
6.4%
별 52
 
6.4%
특 52
 
6.4%
지 37
 
4.6%
Other values (73) 280
34.6%
Common
ValueCountFrequency (%)
237
43.5%
1 60
 
11.0%
2 38
 
7.0%
- 38
 
7.0%
3 35
 
6.4%
4 27
 
5.0%
6 22
 
4.0%
0 21
 
3.9%
5 19
 
3.5%
8 17
 
3.1%
Other values (4) 31
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 810
59.8%
ASCII 545
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
237
43.5%
1 60
 
11.0%
2 38
 
7.0%
- 38
 
7.0%
3 35
 
6.4%
4 27
 
5.0%
6 22
 
4.0%
0 21
 
3.9%
5 19
 
3.5%
8 17
 
3.1%
Other values (4) 31
 
5.7%
Hangul
ValueCountFrequency (%)
동 68
 
8.4%
성 56
 
6.9%
북 56
 
6.9%
시 53
 
6.5%
서 52
 
6.4%
구 52
 
6.4%
울 52
 
6.4%
별 52
 
6.4%
특 52
 
6.4%
지 37
 
4.6%
Other values (73) 280
34.6%

도로명주소
Text

MISSING 

Distinct50
Distinct (%)100.0%
Missing2
Missing (%)3.8%
Memory size548.0 B
2024-04-30T04:21:10.643400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length39.5
Mean length32.02
Min length23

Characters and Unicode

Total characters1601
Distinct characters115
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

Unique50 ?
Unique (%)100.0%

Sample

1st row서울특별시 성북구 동소문로 269-13 (길음동)
2nd row서울특별시 성북구 도봉로 25 (길음동)
3rd row서울특별시 성북구 동소문로 292 (하월곡동)
4th row서울특별시 성북구 삼선교로24길 37 (삼선동5가)
5th row서울특별시 성북구 동소문로 299 (길음동)
ValueCountFrequency (%)
서울특별시 50
 
16.4%
성북구 50
 
16.4%
동소문로 14
 
4.6%
길음동 8
 
2.6%
4층 6
 
2.0%
장위동 5
 
1.6%
2층 5
 
1.6%
석관동 4
 
1.3%
하월곡동 3
 
1.0%
정릉동 3
 
1.0%
Other values (129) 156
51.3%
2024-04-30T04:21:10.987754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
268
 
16.7%
동 84
 
5.2%
성 57
 
3.6%
북 57
 
3.6%
시 51
 
3.2%
서 50
 
3.1%
로 50
 
3.1%
울 50
 
3.1%
2 50
 
3.1%
( 50
 
3.1%
Other values (105) 834
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 935
58.4%
Space Separator 268
 
16.7%
Decimal Number 249
 
15.6%
Open Punctuation 50
 
3.1%
Close Punctuation 50
 
3.1%
Other Punctuation 39
 
2.4%
Dash Punctuation 9
 
0.6%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 84
 
9.0%
성 57
 
6.1%
북 57
 
6.1%
시 51
 
5.5%
서 50
 
5.3%
로 50
 
5.3%
울 50
 
5.3%
구 50
 
5.3%
별 50
 
5.3%
특 50
 
5.3%
Other values (89) 386
41.3%
Decimal Number
ValueCountFrequency (%)
2 50
20.1%
1 46
18.5%
4 32
12.9%
3 31
12.4%
0 22
8.8%
5 18
 
7.2%
9 15
 
6.0%
8 13
 
5.2%
6 12
 
4.8%
7 10
 
4.0%
Space Separator
ValueCountFrequency (%)
268
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Other Punctuation
ValueCountFrequency (%)
, 39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 935
58.4%
Common 665
41.5%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 84
 
9.0%
성 57
 
6.1%
북 57
 
6.1%
시 51
 
5.5%
서 50
 
5.3%
로 50
 
5.3%
울 50
 
5.3%
구 50
 
5.3%
별 50
 
5.3%
특 50
 
5.3%
Other values (89) 386
41.3%
Common
ValueCountFrequency (%)
268
40.3%
2 50
 
7.5%
( 50
 
7.5%
) 50
 
7.5%
1 46
 
6.9%
, 39
 
5.9%
4 32
 
4.8%
3 31
 
4.7%
0 22
 
3.3%
5 18
 
2.7%
Other values (5) 59
 
8.9%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 935
58.4%
ASCII 666
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
268
40.2%
2 50
 
7.5%
( 50
 
7.5%
) 50
 
7.5%
1 46
 
6.9%
, 39
 
5.9%
4 32
 
4.8%
3 31
 
4.7%
0 22
 
3.3%
5 18
 
2.7%
Other values (6) 60
 
9.0%
Hangul
ValueCountFrequency (%)
동 84
 
9.0%
성 57
 
6.1%
북 57
 
6.1%
시 51
 
5.5%
서 50
 
5.3%
로 50
 
5.3%
울 50
 
5.3%
구 50
 
5.3%
별 50
 
5.3%
특 50
 
5.3%
Other values (89) 386
41.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)90.9%
Missing19
Missing (%)36.5%
Infinite0
Infinite (%)0.0%
Mean23029.788
Minimum2711
Maximum136844
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-04-30T04:21:11.105899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2711
5-th percentile2723.4
Q12759
median2820
Q32861
95-th percentile136361.8
Maximum136844
Range134133
Interquartile range (IQR)102

Descriptive statistics

Standard deviation48631.309
Coefficient of variation (CV)2.1116699
Kurtosis2.2874379
Mean23029.788
Median Absolute Deviation (MAD)51
Skewness2.037707
Sum759983
Variance2.3650042 × 109
MonotonicityNot monotonic
2024-04-30T04:21:11.216026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2832 2
 
3.8%
2829 2
 
3.8%
2732 2
 
3.8%
2846 1
 
1.9%
2781 1
 
1.9%
2770 1
 
1.9%
2866 1
 
1.9%
2772 1
 
1.9%
2725 1
 
1.9%
2787 1
 
1.9%
Other values (20) 20
38.5%
(Missing) 19
36.5%
ValueCountFrequency (%)
2711 1
1.9%
2721 1
1.9%
2725 1
1.9%
2730 1
1.9%
2732 2
3.8%
2735 1
1.9%
2748 1
1.9%
2759 1
1.9%
2769 1
1.9%
2770 1
1.9%
ValueCountFrequency (%)
136844 1
1.9%
136777 1
1.9%
136085 1
1.9%
136036 1
1.9%
136032 1
1.9%
2880 1
1.9%
2872 1
1.9%
2866 1
1.9%
2861 1
1.9%
2860 1
1.9%

사업장명
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2024-04-30T04:21:11.421619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length14
Mean length9.5769231
Min length4

Characters and Unicode

Total characters498
Distinct characters171
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

Unique52 ?
Unique (%)100.0%

Sample

1st row금호엘이티(주)
2nd row(주)동화항공여행사
3rd row(주)정풍관광
4th row(주)씨엔에이치코리아
5th row상원일주여행사
ValueCountFrequency (%)
주식회사 6
 
8.1%
금호엘이티(주 1
 
1.4%
세이브투어(save 1
 
1.4%
주)하나케이티시 1
 
1.4%
한낮의햇살 1
 
1.4%
성북동아름다운사람들 1
 
1.4%
전국레저협회 1
 
1.4%
주)아트월드관광개발여행 1
 
1.4%
tour 1
 
1.4%
서울전세버스협동조합 1
 
1.4%
Other values (59) 59
79.7%
2024-04-30T04:21:11.751749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 37
 
7.4%
( 32
 
6.4%
) 32
 
6.4%
22
 
4.4%
사 20
 
4.0%
여 16
 
3.2%
투 14
 
2.8%
행 14
 
2.8%
어 13
 
2.6%
이 12
 
2.4%
Other values (161) 286
57.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 373
74.9%
Open Punctuation 32
 
6.4%
Close Punctuation 32
 
6.4%
Space Separator 22
 
4.4%
Uppercase Letter 18
 
3.6%
Lowercase Letter 14
 
2.8%
Decimal Number 4
 
0.8%
Other Punctuation 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 37
 
9.9%
사 20
 
5.4%
여 16
 
4.3%
투 14
 
3.8%
행 14
 
3.8%
어 13
 
3.5%
이 12
 
3.2%
하 9
 
2.4%
회 8
 
2.1%
리 8
 
2.1%
Other values (131) 222
59.5%
Uppercase Letter
ValueCountFrequency (%)
T 4
22.2%
E 2
11.1%
S 1
 
5.6%
Y 1
 
5.6%
P 1
 
5.6%
J 1
 
5.6%
N 1
 
5.6%
L 1
 
5.6%
V 1
 
5.6%
A 1
 
5.6%
Other values (4) 4
22.2%
Lowercase Letter
ValueCountFrequency (%)
r 3
21.4%
a 2
14.3%
u 2
14.3%
i 2
14.3%
v 1
 
7.1%
o 1
 
7.1%
e 1
 
7.1%
p 1
 
7.1%
d 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
1 1
25.0%
5 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Other Punctuation
ValueCountFrequency (%)
* 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 373
74.9%
Common 93
 
18.7%
Latin 32
 
6.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 37
 
9.9%
사 20
 
5.4%
여 16
 
4.3%
투 14
 
3.8%
행 14
 
3.8%
어 13
 
3.5%
이 12
 
3.2%
하 9
 
2.4%
회 8
 
2.1%
리 8
 
2.1%
Other values (131) 222
59.5%
Latin
ValueCountFrequency (%)
T 4
 
12.5%
r 3
 
9.4%
a 2
 
6.2%
u 2
 
6.2%
E 2
 
6.2%
i 2
 
6.2%
v 1
 
3.1%
o 1
 
3.1%
e 1
 
3.1%
S 1
 
3.1%
Other values (13) 13
40.6%
Common
ValueCountFrequency (%)
( 32
34.4%
) 32
34.4%
22
23.7%
* 3
 
3.2%
2 2
 
2.2%
1 1
 
1.1%
5 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 373
74.9%
ASCII 125
 
25.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 37
 
9.9%
사 20
 
5.4%
여 16
 
4.3%
투 14
 
3.8%
행 14
 
3.8%
어 13
 
3.5%
이 12
 
3.2%
하 9
 
2.4%
회 8
 
2.1%
리 8
 
2.1%
Other values (131) 222
59.5%
ASCII
ValueCountFrequency (%)
( 32
25.6%
) 32
25.6%
22
17.6%
T 4
 
3.2%
* 3
 
2.4%
r 3
 
2.4%
a 2
 
1.6%
u 2
 
1.6%
E 2
 
1.6%
i 2
 
1.6%
Other values (20) 21
16.8%

최종수정일자
Date

Distinct49
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size548.0 B
Minimum2003-04-18 14:23:53
Maximum2024-02-29 13:37:52
2024-04-30T04:21:11.863258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:21:11.969939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
I
27 
U
25 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 27
51.9%
U 25
48.1%

Length

2024-04-30T04:21:12.066628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:12.318110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 27
51.9%
u 25
48.1%

데이터갱신일자
Date

Distinct24
Distinct (%)46.2%
Missing0
Missing (%)0.0%
Memory size548.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:02:00
2024-04-30T04:21:12.406359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:21:12.507788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)90.0%
Missing2
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean202238.13
Minimum199586.32
Maximum205704.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-04-30T04:21:12.615510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum199586.32
5-th percentile200254.93
Q1201088.59
median201805.62
Q3203278.93
95-th percentile205341.25
Maximum205704.37
Range6118.0494
Interquartile range (IQR)2190.3404

Descriptive statistics

Standard deviation1656.3944
Coefficient of variation (CV)0.0081903168
Kurtosis-0.52725094
Mean202238.13
Median Absolute Deviation (MAD)797.62834
Skewness0.69972255
Sum10111907
Variance2743642.3
MonotonicityNot monotonic
2024-04-30T04:21:12.730467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
202153.432201415 2
 
3.8%
202029.981799661 2
 
3.8%
201247.783570874 2
 
3.8%
202466.801104742 2
 
3.8%
205341.25265832 2
 
3.8%
200706.925859114 1
 
1.9%
200721.912379499 1
 
1.9%
203742.663396784 1
 
1.9%
204208.631200867 1
 
1.9%
205216.606119451 1
 
1.9%
Other values (35) 35
67.3%
(Missing) 2
 
3.8%
ValueCountFrequency (%)
199586.316865115 1
1.9%
199628.172805473 1
1.9%
200178.610169635 1
1.9%
200348.203112932 1
1.9%
200422.723883879 1
1.9%
200675.554913585 1
1.9%
200706.925859114 1
1.9%
200721.912379499 1
1.9%
200820.261137542 1
1.9%
200905.183674983 1
1.9%
ValueCountFrequency (%)
205704.366298809 1
1.9%
205392.264342531 1
1.9%
205341.25265832 2
3.8%
205216.606119451 1
1.9%
205159.455380776 1
1.9%
204658.538567139 1
1.9%
204629.736121071 1
1.9%
204380.699160001 1
1.9%
204208.631200867 1
1.9%
203742.663396784 1
1.9%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)90.0%
Missing2
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean455408.48
Minimum453340.15
Maximum457844.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-04-30T04:21:12.845546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum453340.15
5-th percentile453995.08
Q1454374.46
median455605.72
Q3456227.57
95-th percentile456693.65
Maximum457844.35
Range4504.1988
Interquartile range (IQR)1853.1139

Descriptive statistics

Standard deviation1041.8602
Coefficient of variation (CV)0.0022877488
Kurtosis-0.87241967
Mean455408.48
Median Absolute Deviation (MAD)944.30746
Skewness-0.10637013
Sum22770424
Variance1085472.7
MonotonicityNot monotonic
2024-04-30T04:21:12.969589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
455880.685549829 2
 
3.8%
455605.716911266 2
 
3.8%
455660.467329469 2
 
3.8%
456227.571665528 2
 
3.8%
456693.646442838 2
 
3.8%
454119.644776835 1
 
1.9%
454178.922228072 1
 
1.9%
455879.902166538 1
 
1.9%
457844.348010616 1
 
1.9%
456753.873513306 1
 
1.9%
Other values (35) 35
67.3%
(Missing) 2
 
3.8%
ValueCountFrequency (%)
453340.14922552 1
1.9%
453454.226068463 1
1.9%
453964.674296826 1
1.9%
454032.238164153 1
1.9%
454119.644776835 1
1.9%
454178.922228072 1
1.9%
454186.256841856 1
1.9%
454220.519443683 1
1.9%
454256.676715286 1
1.9%
454263.493710962 1
1.9%
ValueCountFrequency (%)
457844.348010616 1
1.9%
456753.873513306 1
1.9%
456693.646442838 2
3.8%
456673.35375589 1
1.9%
456604.835522806 1
1.9%
456576.613113413 1
1.9%
456564.295717205 1
1.9%
456534.7766001 1
1.9%
456341.359410406 1
1.9%
456337.849573446 1
1.9%

문화체육업종명
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
국내여행업
44 
<NA>
8 

Length

Max length5
Median length5
Mean length4.8461538
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내여행업 44
84.6%
<NA> 8
 
15.4%

Length

2024-04-30T04:21:13.075869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:13.152382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내여행업 44
84.6%
na 8
 
15.4%

문화사업자구분명
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
30 
관광사업
22 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
57.7%
관광사업 22
42.3%

Length

2024-04-30T04:21:13.247556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:13.320134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
57.7%
관광사업 22
42.3%

지역구분명
Text

MISSING 

Distinct3
Distinct (%)50.0%
Missing46
Missing (%)88.5%
Memory size548.0 B
2024-04-30T04:21:13.416127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.8333333
Min length5

Characters and Unicode

Total characters35
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)16.7%

Sample

1st row근린상업지역
2nd row근린상업지역
3rd row일반주거지역
4th row준주거지역
5th row일반주거지역
ValueCountFrequency (%)
일반주거지역 3
50.0%
근린상업지역 2
33.3%
준주거지역 1
 
16.7%
2024-04-30T04:21:13.637294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 6
17.1%
역 6
17.1%
주 4
11.4%
거 4
11.4%
일 3
8.6%
반 3
8.6%
근 2
 
5.7%
린 2
 
5.7%
상 2
 
5.7%
업 2
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 6
17.1%
역 6
17.1%
주 4
11.4%
거 4
11.4%
일 3
8.6%
반 3
8.6%
근 2
 
5.7%
린 2
 
5.7%
상 2
 
5.7%
업 2
 
5.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 6
17.1%
역 6
17.1%
주 4
11.4%
거 4
11.4%
일 3
8.6%
반 3
8.6%
근 2
 
5.7%
린 2
 
5.7%
상 2
 
5.7%
업 2
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 6
17.1%
역 6
17.1%
주 4
11.4%
거 4
11.4%
일 3
8.6%
반 3
8.6%
근 2
 
5.7%
린 2
 
5.7%
상 2
 
5.7%
업 2
 
5.7%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)37.5%
Missing36
Missing (%)69.2%
Infinite0
Infinite (%)0.0%
Mean3.1875
Minimum0
Maximum8
Zeros6
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-04-30T04:21:13.728271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.5
Q36
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.166886
Coefficient of variation (CV)0.99353285
Kurtosis-1.3725363
Mean3.1875
Median Absolute Deviation (MAD)2.5
Skewness0.43724696
Sum51
Variance10.029167
MonotonicityNot monotonic
2024-04-30T04:21:13.826813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 6
 
11.5%
8 3
 
5.8%
2 2
 
3.8%
6 2
 
3.8%
4 2
 
3.8%
3 1
 
1.9%
(Missing) 36
69.2%
ValueCountFrequency (%)
0 6
11.5%
2 2
 
3.8%
3 1
 
1.9%
4 2
 
3.8%
6 2
 
3.8%
8 3
5.8%
ValueCountFrequency (%)
8 3
5.8%
6 2
 
3.8%
4 2
 
3.8%
3 1
 
1.9%
2 2
 
3.8%
0 6
11.5%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing51
Missing (%)98.1%
Memory size548.0 B
2024-04-30T04:21:13.903494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row기타
ValueCountFrequency (%)
기타 1
100.0%
2024-04-30T04:21:14.080497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

보험기관명
Categorical

Distinct15
Distinct (%)28.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
22 
서울보증보험
9 
서울보증보험(주)
4 
한국관광협회중앙회 여행공제회
3 
한국관광협회중앙회여행공제회
 
2
Other values (10)
12 

Length

Max length22
Median length18
Mean length7.5769231
Min length4

Unique

Unique8 ?
Unique (%)15.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
42.3%
서울보증보험 9
17.3%
서울보증보험(주) 4
 
7.7%
한국관광협회중앙회 여행공제회 3
 
5.8%
한국관광협회중앙회여행공제회 2
 
3.8%
서울보증보험(30,000,000) 2
 
3.8%
서울보증보험주식회사 2
 
3.8%
서울관광협회 1
 
1.9%
한국관광협회중앙회 1
 
1.9%
여행공제회 1
 
1.9%
Other values (5) 5
 
9.6%

Length

2024-04-30T04:21:14.190493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 22
38.6%
서울보증보험 9
15.8%
서울보증보험(주 5
 
8.8%
한국관광협회중앙회 4
 
7.0%
여행공제회 4
 
7.0%
한국관광협회중앙회여행공제회 2
 
3.5%
서울보증보험(30,000,000 2
 
3.5%
서울보증보험주식회사 2
 
3.5%
서울관광협회 1
 
1.8%
20,000,000 1
 
1.8%
Other values (5) 5
 
8.8%

건물용도명
Categorical

Distinct3
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
38 
근린생활시설
12 
교육연구시설
 
2

Length

Max length6
Median length4
Mean length4.5384615
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 38
73.1%
근린생활시설 12
 
23.1%
교육연구시설 2
 
3.8%

Length

2024-04-30T04:21:14.302093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:14.393364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
73.1%
근린생활시설 12
 
23.1%
교육연구시설 2
 
3.8%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)33.3%
Missing31
Missing (%)59.6%
Infinite0
Infinite (%)0.0%
Mean2.9047619
Minimum0
Maximum8
Zeros6
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-04-30T04:21:14.465531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q36
95-th percentile6
Maximum8
Range8
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.5671923
Coefficient of variation (CV)0.88378751
Kurtosis-1.0568763
Mean2.9047619
Median Absolute Deviation (MAD)3
Skewness0.41050626
Sum61
Variance6.5904762
MonotonicityNot monotonic
2024-04-30T04:21:14.552962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 6
 
11.5%
6 5
 
9.6%
3 4
 
7.7%
2 3
 
5.8%
4 1
 
1.9%
8 1
 
1.9%
1 1
 
1.9%
(Missing) 31
59.6%
ValueCountFrequency (%)
0 6
11.5%
1 1
 
1.9%
2 3
5.8%
3 4
7.7%
4 1
 
1.9%
6 5
9.6%
8 1
 
1.9%
ValueCountFrequency (%)
8 1
 
1.9%
6 5
9.6%
4 1
 
1.9%
3 4
7.7%
2 3
5.8%
1 1
 
1.9%
0 6
11.5%

지하층수
Categorical

Distinct5
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
39 
0
6 
1
4 
2
 
2
3
 
1

Length

Max length4
Median length4
Mean length3.25
Min length1

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
75.0%
0 6
 
11.5%
1 4
 
7.7%
2 2
 
3.8%
3 1
 
1.9%

Length

2024-04-30T04:21:14.656558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:14.749562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
75.0%
0 6
 
11.5%
1 4
 
7.7%
2 2
 
3.8%
3 1
 
1.9%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
48 
0
 
4

Length

Max length4
Median length4
Mean length3.7692308
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 48
92.3%
0 4
 
7.7%

Length

2024-04-30T04:21:14.849903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:14.935600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
92.3%
0 4
 
7.7%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
48 
0
 
4

Length

Max length4
Median length4
Mean length3.7692308
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 48
92.3%
0 4
 
7.7%

Length

2024-04-30T04:21:15.027494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:15.109902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
92.3%
0 4
 
7.7%

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
48 
0
 
4

Length

Max length4
Median length4
Mean length3.7692308
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 48
92.3%
0 4
 
7.7%

Length

2024-04-30T04:21:15.203810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:15.296934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
92.3%
0 4
 
7.7%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
48 
0
 
4

Length

Max length4
Median length4
Mean length3.7692308
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 48
92.3%
0 4
 
7.7%

Length

2024-04-30T04:21:15.390855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:15.469527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
92.3%
0 4
 
7.7%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
48 
0
 
4

Length

Max length4
Median length4
Mean length3.7692308
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 48
92.3%
0 4
 
7.7%

Length

2024-04-30T04:21:15.555630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:15.644355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
92.3%
0 4
 
7.7%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
48 
0
 
4

Length

Max length4
Median length4
Mean length3.7692308
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 48
92.3%
0 4
 
7.7%

Length

2024-04-30T04:21:15.727571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:15.806963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
92.3%
0 4
 
7.7%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
48 
0
 
4

Length

Max length4
Median length4
Mean length3.7692308
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 48
92.3%
0 4
 
7.7%

Length

2024-04-30T04:21:15.886159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:15.965287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
92.3%
0 4
 
7.7%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)59.1%
Missing30
Missing (%)57.7%
Infinite0
Infinite (%)0.0%
Mean40.532727
Minimum0
Maximum340.23
Zeros10
Zeros (%)19.2%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-04-30T04:21:16.032681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8.26
Q350.0375
95-th percentile119.007
Maximum340.23
Range340.23
Interquartile range (IQR)50.0375

Descriptive statistics

Standard deviation75.970945
Coefficient of variation (CV)1.8743112
Kurtosis12.055962
Mean40.532727
Median Absolute Deviation (MAD)8.26
Skewness3.232601
Sum891.72
Variance5771.5844
MonotonicityNot monotonic
2024-04-30T04:21:16.125167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 10
 
19.2%
340.23 1
 
1.9%
119.36 1
 
1.9%
35.0 1
 
1.9%
66.0 1
 
1.9%
28.0 1
 
1.9%
33.06 1
 
1.9%
30.0 1
 
1.9%
112.3 1
 
1.9%
55.05 1
 
1.9%
Other values (3) 3
 
5.8%
(Missing) 30
57.7%
ValueCountFrequency (%)
0.0 10
19.2%
3.3 1
 
1.9%
13.22 1
 
1.9%
28.0 1
 
1.9%
30.0 1
 
1.9%
33.06 1
 
1.9%
35.0 1
 
1.9%
55.05 1
 
1.9%
56.2 1
 
1.9%
66.0 1
 
1.9%
ValueCountFrequency (%)
340.23 1
1.9%
119.36 1
1.9%
112.3 1
1.9%
66.0 1
1.9%
56.2 1
1.9%
55.05 1
1.9%
35.0 1
1.9%
33.06 1
1.9%
30.0 1
1.9%
28.0 1
1.9%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
48 
0
 
4

Length

Max length4
Median length4
Mean length3.7692308
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 48
92.3%
0 4
 
7.7%

Length

2024-04-30T04:21:16.242246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:21:16.323093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
92.3%
0 4
 
7.7%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)57.6%
Missing19
Missing (%)36.5%
Infinite0
Infinite (%)0.0%
Mean78612594
Minimum0
Maximum3 × 108
Zeros1
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-04-30T04:21:16.403608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15108133
Q150000000
median50624089
Q31 × 108
95-th percentile2 × 108
Maximum3 × 108
Range3 × 108
Interquartile range (IQR)50000000

Descriptive statistics

Standard deviation62093873
Coefficient of variation (CV)0.78987182
Kurtosis4.2707023
Mean78612594
Median Absolute Deviation (MAD)20624089
Skewness1.8826195
Sum2.5942156 × 109
Variance3.8556491 × 1015
MonotonicityNot monotonic
2024-04-30T04:21:16.504184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
50000000 8
15.4%
100000000 4
 
7.7%
90000000 2
 
3.8%
30000000 2
 
3.8%
150000000 2
 
3.8%
200000000 2
 
3.8%
300000000 1
 
1.9%
40000000 1
 
1.9%
0 1
 
1.9%
60000000 1
 
1.9%
Other values (9) 9
17.3%
(Missing) 19
36.5%
ValueCountFrequency (%)
0 1
 
1.9%
15007259 1
 
1.9%
15175383 1
 
1.9%
30000000 2
 
3.8%
30002849 1
 
1.9%
40000000 1
 
1.9%
47510788 1
 
1.9%
50000000 8
15.4%
50624089 1
 
1.9%
60000000 1
 
1.9%
ValueCountFrequency (%)
300000000 1
 
1.9%
200000000 2
3.8%
150000000 2
3.8%
100125000 1
 
1.9%
100000000 4
7.7%
90000000 2
3.8%
75000000 1
 
1.9%
60768142 1
 
1.9%
60002106 1
 
1.9%
60000000 1
 
1.9%

보험시작일자
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing21
Missing (%)40.4%
Infinite0
Infinite (%)0.0%
Mean20157007
Minimum20040906
Maximum20220212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-04-30T04:21:16.604144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040906
5-th percentile20045771
Q120130266
median20170411
Q320205362
95-th percentile20210674
Maximum20220212
Range179306
Interquartile range (IQR)75096.5

Descriptive statistics

Standard deviation54651.571
Coefficient of variation (CV)0.0027112939
Kurtosis-0.045420297
Mean20157007
Median Absolute Deviation (MAD)39806
Skewness-0.96242348
Sum6.2486723 × 108
Variance2.9867942 × 109
MonotonicityNot monotonic
2024-04-30T04:21:16.712281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
20040906 1
 
1.9%
20210317 1
 
1.9%
20220212 1
 
1.9%
20210302 1
 
1.9%
20210201 1
 
1.9%
20170320 1
 
1.9%
20190618 1
 
1.9%
20170714 1
 
1.9%
20180828 1
 
1.9%
20170411 1
 
1.9%
Other values (21) 21
40.4%
(Missing) 21
40.4%
ValueCountFrequency (%)
20040906 1
1.9%
20041130 1
1.9%
20050412 1
1.9%
20050923 1
1.9%
20101028 1
1.9%
20110725 1
1.9%
20110801 1
1.9%
20130223 1
1.9%
20130308 1
1.9%
20140502 1
1.9%
ValueCountFrequency (%)
20220212 1
1.9%
20210920 1
1.9%
20210429 1
1.9%
20210317 1
1.9%
20210302 1
1.9%
20210222 1
1.9%
20210217 1
1.9%
20210201 1
1.9%
20200523 1
1.9%
20190726 1
1.9%

보험종료일자
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing21
Missing (%)40.4%
Infinite0
Infinite (%)0.0%
Mean20167644
Minimum20050906
Maximum20230211
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-04-30T04:21:16.811797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20050906
5-th percentile20055771
Q120140264
median20180410
Q320215428
95-th percentile20220674
Maximum20230211
Range179305
Interquartile range (IQR)75163.5

Descriptive statistics

Standard deviation55116.57
Coefficient of variation (CV)0.0027329206
Kurtosis-0.084515128
Mean20167644
Median Absolute Deviation (MAD)39806
Skewness-0.95636759
Sum6.2519697 × 108
Variance3.0378363 × 109
MonotonicityNot monotonic
2024-04-30T04:21:16.917029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
20050906 1
 
1.9%
20220316 1
 
1.9%
20230211 1
 
1.9%
20220301 1
 
1.9%
20220131 1
 
1.9%
20180319 1
 
1.9%
20210618 1
 
1.9%
20180714 1
 
1.9%
20190827 1
 
1.9%
20180410 1
 
1.9%
Other values (21) 21
40.4%
(Missing) 21
40.4%
ValueCountFrequency (%)
20050906 1
1.9%
20051130 1
1.9%
20060412 1
1.9%
20060923 1
1.9%
20111028 1
1.9%
20120725 1
1.9%
20120731 1
1.9%
20140222 1
1.9%
20140307 1
1.9%
20150501 1
1.9%
ValueCountFrequency (%)
20230211 1
1.9%
20220919 1
1.9%
20220428 1
1.9%
20220316 1
1.9%
20220301 1
1.9%
20220221 1
1.9%
20220216 1
1.9%
20220131 1
1.9%
20210725 1
1.9%
20210618 1
1.9%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)59.1%
Missing30
Missing (%)57.7%
Infinite0
Infinite (%)0.0%
Mean40.454545
Minimum0
Maximum340
Zeros10
Zeros (%)19.2%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-04-30T04:21:17.008529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q350
95-th percentile118.65
Maximum340
Range340
Interquartile range (IQR)50

Descriptive statistics

Standard deviation75.905158
Coefficient of variation (CV)1.8763073
Kurtosis12.076742
Mean40.454545
Median Absolute Deviation (MAD)8
Skewness3.2354096
Sum890
Variance5761.5931
MonotonicityNot monotonic
2024-04-30T04:21:17.094706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 10
 
19.2%
340 1
 
1.9%
119 1
 
1.9%
35 1
 
1.9%
66 1
 
1.9%
28 1
 
1.9%
33 1
 
1.9%
30 1
 
1.9%
112 1
 
1.9%
55 1
 
1.9%
Other values (3) 3
 
5.8%
(Missing) 30
57.7%
ValueCountFrequency (%)
0 10
19.2%
3 1
 
1.9%
13 1
 
1.9%
28 1
 
1.9%
30 1
 
1.9%
33 1
 
1.9%
35 1
 
1.9%
55 1
 
1.9%
56 1
 
1.9%
66 1
 
1.9%
ValueCountFrequency (%)
340 1
1.9%
119 1
1.9%
112 1
1.9%
66 1
1.9%
56 1
1.9%
55 1
1.9%
35 1
1.9%
33 1
1.9%
30 1
1.9%
28 1
1.9%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03070000CDFI22600119910000011991-02-12<NA>5제외/삭제/전출15전출2003-04-18<NA><NA><NA><NA><NA><NA>서울특별시 성북구 길음동 1070-19서울특별시 성북구 동소문로 269-13 (길음동)2732금호엘이티(주)2023-03-07 15:36:54U2022-12-03 00:09:00.0<NA>202153.432201455880.68555<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13070000CDFI226001199100000219911111<NA>3폐업3폐업20010425<NA><NA><NA>984-1161<NA>136800서울특별시 성북구 길음동 33-13번지서울특별시 성북구 도봉로 25 (길음동)<NA>(주)동화항공여행사2003-04-18 14:23:53I2018-08-31 23:59:59.0<NA>202582.285308456576.613113국내여행업관광사업<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
23070000CDFI226001199500000119950311<NA>3폐업3폐업20010725<NA><NA><NA><NA><NA>136873서울특별시 성북구 하월곡동 88-16 9통6반서울특별시 성북구 동소문로 292 (하월곡동)<NA>(주)정풍관광2020-09-09 17:53:42U2020-09-11 02:40:00.0<NA>202387.058331455983.460826국내여행업관광사업<NA>2<NA><NA><NA>근린생활시설2<NA><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
33070000CDFI226001199500000219950930<NA>3폐업3폐업20000502<NA><NA><NA>9250-600<NA>136045서울특별시 성북구 삼선동5가 261-0서울특별시 성북구 삼선교로24길 37 (삼선동5가)<NA>(주)씨엔에이치코리아2020-09-09 17:54:21U2020-09-11 02:40:00.0<NA>201386.130849454032.238164국내여행업관광사업<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
43070000CDFI226001199500000319951226<NA>3폐업3폐업19990319<NA><NA><NA><NA><NA>136800서울특별시 성북구 길음동 937-0서울특별시 성북구 동소문로 299 (길음동)<NA>상원일주여행사2020-09-09 17:53:16U2020-09-11 02:40:00.0<NA>202374.70749456086.929849국내여행업관광사업<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
53070000CDFI226001199600000119961227<NA>3폐업3폐업20000925<NA><NA><NA>736-0712<NA>136036서울특별시 성북구 동소문동6가 25번지 세화빌딩 503호<NA><NA>(주)하얀여행사2003-04-18 14:23:53I2018-08-31 23:59:59.0<NA><NA><NA>국내여행업관광사업<NA>8<NA><NA><NA>근린생활시설62<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
63070000CDFI226001199800000119980119<NA>3폐업3폐업20010103<NA><NA><NA>966-1383<NA>136036서울특별시 성북구 동소문동6가 26번지 세화빌딩 502호서울특별시 성북구 동소문로13길 12 (동소문동6가,세화빌딩 502호)<NA>(주)창조21세기여행사2003-04-18 14:23:53I2018-08-31 23:59:59.0<NA>201071.347097454457.15142국내여행업관광사업<NA>8<NA><NA><NA>근린생활시설62<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
73070000CDFI226001200000000220000412<NA>1영업/정상13영업중<NA><NA><NA><NA>743-0011<NA>136032서울특별시 성북구 동소문동2가 222-0번지서울특별시 성북구 동소문로 24 (동소문동2가)2860신한항공(국내)2020-05-28 16:28:20U2020-05-30 02:40:00.0<NA>200706.925859454119.644777국내여행업관광사업근린상업지역<NA><NA><NA>한국관광협회중앙회여행공제회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2017101920181019<NA><NA>
83070000CDFI226001200100000120010604<NA>3폐업3폐업20010604<NA><NA><NA>777-0466<NA>136031서울특별시 성북구 동소문동1가 112번지서울특별시 성북구 동소문로 27 (동소문동1가)<NA>동남여행사2003-04-18 14:23:53I2018-08-31 23:59:59.0<NA>200721.912379454178.922228국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><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
93070000CDFI226001200200000120020118<NA>3폐업3폐업20040120<NA><NA><NA>3672-3388<NA>136823서울특별시 성북구 성북동 94-1번지 23통3반서울특별시 성북구 성북로 122 (성북동)<NA>향우철관주식회사2004-01-26 12:54:38I2018-08-31 23:59:59.0<NA>199586.316865454632.316679국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><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
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
423070000CDFI226001201800000220180517<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 길음동 535-8 길음시장서울특별시 성북구 동소문로 227, 길음시장 1층 86호 (길음동)2721티티투어2021-03-03 17:43:53U2021-03-05 02:40:00.0<NA>201852.588542455598.947534국내여행업<NA><NA><NA><NA><NA>서울보증보험근린생활시설1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>13.22<NA><NA><NA><NA><NA><NA><NA><NA>506240892021030220220301<NA>13
433070000CDFI22600120190000012019-06-26<NA>3폐업3폐업2023-07-13<NA><NA><NA><NA><NA><NA>서울특별시 성북구 정릉동 289-30서울특별시 성북구 보국문로 90, 1동 4층 (정릉동)2711(주)콘팩2023-07-13 14:34:45U2022-12-06 23:05:00.0<NA>200675.554914456673.353756<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
443070000CDFI226001202000000220200702<NA>1영업/정상13영업중<NA><NA><NA><NA>02-737-6444<NA><NA>서울특별시 성북구 동소문동4가 75 흥화브라운 동소문빌딩서울특별시 성북구 동소문로 43, 흥화브라운 동소문빌딩 203호 (동소문동4가)2832(주)예문관2022-08-17 09:19:18U2021-12-07 23:09:00.0<NA>200820.261138454256.676715<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
453070000CDFI226001202000000320200715<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 정릉동 105-2서울특별시 성북구 아리랑로19길 21-1, 2층 (정릉동)2820(주)아트버스킹2022-08-16 16:41:15U2021-12-07 23:08:00.0<NA>201006.840964455563.377181<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
463070000CDFI22600120210000012021-01-06<NA>3폐업3폐업2023-08-16<NA><NA><NA>02-3446-9134<NA><NA>서울특별시 성북구 석관동 268-3서울특별시 성북구 돌곶이로 51, 4층 (석관동)2787(주)참투어2024-02-29 13:37:52U2023-12-03 00:02:00.0<NA>205159.455381456236.28069<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
473070000CDFI226001202100000220210204<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6080-4282<NA><NA>서울특별시 성북구 길음동 1242-2서울특별시 성북구 삼양로 43, 1층 105호 (길음동)2725우리동네 여행사2022-02-23 14:20:27U2022-02-25 02:40:00.0<NA>202010.412506456069.87415국내여행업<NA><NA>0<NA><NA>서울보증보험주식회사<NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>150072592022021220230211<NA>0
483070000CDFI226001202100000320210317<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4905-2942<NA><NA>서울특별시 성북구 동선동4가 137 지안빌딩서울특별시 성북구 동소문로23길 8-12, 지안빌딩 4층 (동선동4가)2829(주) 찌읏2021-03-25 16:55:09U2021-03-27 02:40:00.0<NA>201524.25234454675.680803국내여행업<NA><NA><NA><NA><NA>서울시관광협회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1001250002021031720220316<NA><NA>
493070000CDFI226001202200000120220408<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 장위동 65-154 성북벤처창업지원센터서울특별시 성북구 화랑로 211, 성북벤처창업지원센터 B동 105호 (장위동)2772주식회사 데일리그린2022-08-22 13:32:13U2021-12-07 22:04:00.0<NA>204629.736121456341.35941<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
503070000CDFI22600120230000012020-10-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 삼선동1가 12-1 삼선교복합건물 303호서울특별시 성북구 창경궁로 324, 삼선교복합건물 303호 (삼선동1가)2866한낮의햇살 주식회사2023-02-14 15:20:26U2022-12-01 23:06:00.0<NA>200422.723884453964.674297<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
513070000CDFI22600120230000022023-10-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 장위동 68-78서울특별시 성북구 장위로40다길 19, 104호 (장위동)2770주식회사 월드애니투어 ***민원여권과에서 착오접수하여 등록 후 바로 삭제처리함2023-10-25 17:12:45I2022-10-30 22:07:00.0<NA>204658.538567456604.835523<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>