Overview

Dataset statistics

Number of variables60
Number of observations365
Missing cells8366
Missing cells (%)38.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory184.8 KiB
Average record size in memory518.4 B

Variable types

Categorical22
Text10
DateTime4
Numeric12
Unsupported12

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
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-17600/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (95.3%)Imbalance
휴업종료일자 is highly imbalanced (95.3%)Imbalance
지역구분명 is highly imbalanced (61.6%)Imbalance
주변환경명 is highly imbalanced (70.7%)Imbalance
건물용도명 is highly imbalanced (55.4%)Imbalance
객실수 is highly imbalanced (97.3%)Imbalance
건축연면적 is highly imbalanced (97.3%)Imbalance
선박총톤수 is highly imbalanced (97.3%)Imbalance
선박척수 is highly imbalanced (97.3%)Imbalance
무대면적 is highly imbalanced (97.3%)Imbalance
좌석수 is highly imbalanced (97.3%)Imbalance
회의실별동시수용인원 is highly imbalanced (97.3%)Imbalance
놀이시설수 is highly imbalanced (97.3%)Imbalance
기획여행보험시작일자 is highly imbalanced (94.7%)Imbalance
기획여행보험종료일자 is highly imbalanced (94.7%)Imbalance
인허가취소일자 has 334 (91.5%) missing valuesMissing
폐업일자 has 192 (52.6%) missing valuesMissing
재개업일자 has 365 (100.0%) missing valuesMissing
전화번호 has 121 (33.2%) missing valuesMissing
소재지면적 has 365 (100.0%) missing valuesMissing
소재지우편번호 has 178 (48.8%) missing valuesMissing
도로명주소 has 12 (3.3%) missing valuesMissing
도로명우편번호 has 135 (37.0%) missing valuesMissing
업태구분명 has 365 (100.0%) missing valuesMissing
좌표정보(X) has 20 (5.5%) missing valuesMissing
좌표정보(Y) has 20 (5.5%) missing valuesMissing
총층수 has 320 (87.7%) missing valuesMissing
제작취급품목내용 has 365 (100.0%) missing valuesMissing
보험기관명 has 184 (50.4%) missing valuesMissing
지상층수 has 325 (89.0%) missing valuesMissing
지하층수 has 340 (93.2%) missing valuesMissing
영문상호명 has 360 (98.6%) missing valuesMissing
영문상호주소 has 360 (98.6%) missing valuesMissing
선박제원 has 365 (100.0%) missing valuesMissing
기념품종류 has 365 (100.0%) missing valuesMissing
시설면적 has 296 (81.1%) missing valuesMissing
놀이기구수내역 has 365 (100.0%) missing valuesMissing
방송시설유무 has 365 (100.0%) missing valuesMissing
발전시설유무 has 365 (100.0%) missing valuesMissing
의무실유무 has 365 (100.0%) missing valuesMissing
안내소유무 has 365 (100.0%) missing valuesMissing
자본금 has 151 (41.4%) missing valuesMissing
보험시작일자 has 171 (46.8%) missing valuesMissing
보험종료일자 has 171 (46.8%) missing valuesMissing
부대시설내역 has 365 (100.0%) missing valuesMissing
시설규모 has 296 (81.1%) missing valuesMissing
관리번호 has unique valuesUnique
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 5 (1.4%) zerosZeros
지상층수 has 5 (1.4%) zerosZeros
지하층수 has 5 (1.4%) zerosZeros
시설면적 has 16 (4.4%) zerosZeros
시설규모 has 16 (4.4%) zerosZeros

Reproduction

Analysis started2024-05-11 07:02:56.303156
Analysis finished2024-05-11 07:02:57.491571
Duration1.19 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
3230000
365 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 365
100.0%

Length

2024-05-11T16:02:57.573226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:57.685693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 365
100.0%

관리번호
Text

UNIQUE 

Distinct365
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-05-11T16:02:57.889696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters7300
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

Unique365 ?
Unique (%)100.0%

Sample

1st rowCDFI2260021988000001
2nd rowCDFI2260021992000001
3rd rowCDFI2260021993000001
4th rowCDFI2260021994000001
5th rowCDFI2260021995000002
ValueCountFrequency (%)
cdfi2260021988000001 1
 
0.3%
cdfi2260022016000012 1
 
0.3%
cdfi2260022017000017 1
 
0.3%
cdfi2260022017000015 1
 
0.3%
cdfi2260022017000014 1
 
0.3%
cdfi2260022017000013 1
 
0.3%
cdfi2260022017000012 1
 
0.3%
cdfi2260022017000011 1
 
0.3%
cdfi2260022017000010 1
 
0.3%
cdfi2260022017000009 1
 
0.3%
Other values (355) 355
97.3%
2024-05-11T16:02:58.309219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2868
39.3%
2 1604
22.0%
1 435
 
6.0%
6 429
 
5.9%
C 365
 
5.0%
D 365
 
5.0%
F 365
 
5.0%
I 365
 
5.0%
9 132
 
1.8%
3 95
 
1.3%
Other values (4) 277
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5840
80.0%
Uppercase Letter 1460
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2868
49.1%
2 1604
27.5%
1 435
 
7.4%
6 429
 
7.3%
9 132
 
2.3%
3 95
 
1.6%
4 77
 
1.3%
7 74
 
1.3%
8 73
 
1.2%
5 53
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
C 365
25.0%
D 365
25.0%
F 365
25.0%
I 365
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5840
80.0%
Latin 1460
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2868
49.1%
2 1604
27.5%
1 435
 
7.4%
6 429
 
7.3%
9 132
 
2.3%
3 95
 
1.6%
4 77
 
1.3%
7 74
 
1.3%
8 73
 
1.2%
5 53
 
0.9%
Latin
ValueCountFrequency (%)
C 365
25.0%
D 365
25.0%
F 365
25.0%
I 365
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2868
39.3%
2 1604
22.0%
1 435
 
6.0%
6 429
 
5.9%
C 365
 
5.0%
D 365
 
5.0%
F 365
 
5.0%
I 365
 
5.0%
9 132
 
1.8%
3 95
 
1.3%
Other values (4) 277
 
3.8%

인허가일자
Date

Distinct340
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum1988-06-02 00:00:00
Maximum2024-04-04 00:00:00
2024-05-11T16:02:58.527966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:02:58.690339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)19.4%
Missing334
Missing (%)91.5%
Infinite0
Infinite (%)0.0%
Mean20140642
Minimum20120215
Maximum20210528
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T16:02:58.851064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20120215
5-th percentile20120215
Q120120215
median20120215
Q320150665
95-th percentile20200629
Maximum20210528
Range90313
Interquartile range (IQR)30450

Descriptive statistics

Standard deviation35421.37
Coefficient of variation (CV)0.0017587011
Kurtosis-0.53649006
Mean20140642
Median Absolute Deviation (MAD)0
Skewness1.2037074
Sum6.2435989 × 108
Variance1.2546734 × 109
MonotonicityNot monotonic
2024-05-11T16:02:58.980660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20120215 22
 
6.0%
20200512 4
 
1.1%
20200629 2
 
0.5%
20120326 1
 
0.3%
20210528 1
 
0.3%
20181004 1
 
0.3%
(Missing) 334
91.5%
ValueCountFrequency (%)
20120215 22
6.0%
20120326 1
 
0.3%
20181004 1
 
0.3%
20200512 4
 
1.1%
20200629 2
 
0.5%
20210528 1
 
0.3%
ValueCountFrequency (%)
20210528 1
 
0.3%
20200629 2
 
0.5%
20200512 4
 
1.1%
20181004 1
 
0.3%
20120326 1
 
0.3%
20120215 22
6.0%

영업상태코드
Categorical

Distinct5
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
3
161 
1
147 
4
39 
5
 
16
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row3
3rd row3
4th row3
5th row4

Common Values

ValueCountFrequency (%)
3 161
44.1%
1 147
40.3%
4 39
 
10.7%
5 16
 
4.4%
2 2
 
0.5%

Length

2024-05-11T16:02:59.212717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:59.355409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 161
44.1%
1 147
40.3%
4 39
 
10.7%
5 16
 
4.4%
2 2
 
0.5%

영업상태명
Categorical

Distinct5
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
폐업
161 
영업/정상
147 
취소/말소/만료/정지/중지
39 
제외/삭제/전출
 
16
휴업
 
2

Length

Max length14
Median length8
Mean length4.7534247
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 161
44.1%
영업/정상 147
40.3%
취소/말소/만료/정지/중지 39
 
10.7%
제외/삭제/전출 16
 
4.4%
휴업 2
 
0.5%

Length

2024-05-11T16:02:59.498872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:59.649462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 161
44.1%
영업/정상 147
40.3%
취소/말소/만료/정지/중지 39
 
10.7%
제외/삭제/전출 16
 
4.4%
휴업 2
 
0.5%

상세영업상태코드
Real number (ℝ)

Distinct7
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.493151
Minimum2
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T16:02:59.792946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median13
Q313
95-th percentile31
Maximum31
Range29
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.4861284
Coefficient of variation (CV)0.80873026
Kurtosis0.74597638
Mean10.493151
Median Absolute Deviation (MAD)10
Skewness1.1481221
Sum3830
Variance72.014376
MonotonicityNot monotonic
2024-05-11T16:02:59.950098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 161
44.1%
13 147
40.3%
31 32
 
8.8%
15 16
 
4.4%
30 5
 
1.4%
2 2
 
0.5%
25 2
 
0.5%
ValueCountFrequency (%)
2 2
 
0.5%
3 161
44.1%
13 147
40.3%
15 16
 
4.4%
25 2
 
0.5%
30 5
 
1.4%
31 32
 
8.8%
ValueCountFrequency (%)
31 32
 
8.8%
30 5
 
1.4%
25 2
 
0.5%
15 16
 
4.4%
13 147
40.3%
3 161
44.1%
2 2
 
0.5%

상세영업상태명
Categorical

Distinct7
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
폐업
161 
영업중
147 
등록취소
32 
전출
 
16
허가취소
 
5
Other values (2)
 
4

Length

Max length4
Median length3
Mean length2.6164384
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 161
44.1%
영업중 147
40.3%
등록취소 32
 
8.8%
전출 16
 
4.4%
허가취소 5
 
1.4%
휴업 2
 
0.5%
영업정지 2
 
0.5%

Length

2024-05-11T16:03:00.172924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:03:00.358486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 161
44.1%
영업중 147
40.3%
등록취소 32
 
8.8%
전출 16
 
4.4%
허가취소 5
 
1.4%
휴업 2
 
0.5%
영업정지 2
 
0.5%

폐업일자
Date

MISSING 

Distinct161
Distinct (%)93.1%
Missing192
Missing (%)52.6%
Memory size3.0 KiB
Minimum1996-06-05 00:00:00
Maximum2024-02-15 00:00:00
2024-05-11T16:03:00.566864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:03:00.758055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
361 
20190730
 
1
20120405
 
1
20120314
 
1
20201231
 
1

Length

Max length8
Median length4
Mean length4.0438356
Min length4

Unique

Unique4 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 361
98.9%
20190730 1
 
0.3%
20120405 1
 
0.3%
20120314 1
 
0.3%
20201231 1
 
0.3%

Length

2024-05-11T16:03:00.954448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:03:01.121305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 361
98.9%
20190730 1
 
0.3%
20120405 1
 
0.3%
20120314 1
 
0.3%
20201231 1
 
0.3%

휴업종료일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
361 
20210730
 
1
20120604
 
1
20120412
 
1
20210628
 
1

Length

Max length8
Median length4
Mean length4.0438356
Min length4

Unique

Unique4 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 361
98.9%
20210730 1
 
0.3%
20120604 1
 
0.3%
20120412 1
 
0.3%
20210628 1
 
0.3%

Length

2024-05-11T16:03:01.333711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:03:01.552869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 361
98.9%
20210730 1
 
0.3%
20120604 1
 
0.3%
20120412 1
 
0.3%
20210628 1
 
0.3%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing365
Missing (%)100.0%
Memory size3.3 KiB

전화번호
Text

MISSING 

Distinct238
Distinct (%)97.5%
Missing121
Missing (%)33.2%
Memory size3.0 KiB
2024-05-11T16:03:01.866081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length9.8770492
Min length8

Characters and Unicode

Total characters2410
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique234 ?
Unique (%)95.9%

Sample

1st row3401-7091
2nd row202-1181
3rd row423-9900
4th row448-6607
5th row203-8882
ValueCountFrequency (%)
02-6927-0090 4
 
1.6%
02 3
 
1.2%
3402-1666 2
 
0.8%
431-8123 2
 
0.8%
203-8882 2
 
0.8%
3401-7091 1
 
0.4%
539-2831 1
 
0.4%
400-7279 1
 
0.4%
02-2202-5150 1
 
0.4%
02-409-8811 1
 
0.4%
Other values (231) 231
92.8%
2024-05-11T16:03:02.509541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 373
15.5%
2 339
14.1%
- 321
13.3%
4 270
11.2%
1 195
8.1%
7 183
7.6%
3 171
7.1%
8 161
6.7%
5 148
 
6.1%
6 131
 
5.4%
Other values (5) 118
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2078
86.2%
Dash Punctuation 321
 
13.3%
Space Separator 8
 
0.3%
Close Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 373
17.9%
2 339
16.3%
4 270
13.0%
1 195
9.4%
7 183
8.8%
3 171
8.2%
8 161
7.7%
5 148
 
7.1%
6 131
 
6.3%
9 107
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 321
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2410
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 373
15.5%
2 339
14.1%
- 321
13.3%
4 270
11.2%
1 195
8.1%
7 183
7.6%
3 171
7.1%
8 161
6.7%
5 148
 
6.1%
6 131
 
5.4%
Other values (5) 118
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2410
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 373
15.5%
2 339
14.1%
- 321
13.3%
4 270
11.2%
1 195
8.1%
7 183
7.6%
3 171
7.1%
8 161
6.7%
5 148
 
6.1%
6 131
 
5.4%
Other values (5) 118
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing365
Missing (%)100.0%
Memory size3.3 KiB

소재지우편번호
Text

MISSING 

Distinct79
Distinct (%)42.2%
Missing178
Missing (%)48.8%
Memory size3.0 KiB
2024-05-11T16:03:02.923135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0695187
Min length6

Characters and Unicode

Total characters1135
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)19.3%

Sample

1st row138-803
2nd row138827
3rd row138160
4th row138240
5th row138812
ValueCountFrequency (%)
138828 10
 
5.3%
138240 9
 
4.8%
138837 8
 
4.3%
138861 8
 
4.3%
138960 7
 
3.7%
138827 7
 
3.7%
138850 6
 
3.2%
138844 6
 
3.2%
138200 6
 
3.2%
138834 5
 
2.7%
Other values (69) 115
61.5%
2024-05-11T16:03:03.560723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 333
29.3%
1 235
20.7%
3 223
19.6%
0 71
 
6.3%
2 70
 
6.2%
4 49
 
4.3%
6 40
 
3.5%
7 35
 
3.1%
5 35
 
3.1%
9 31
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1122
98.9%
Dash Punctuation 13
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 333
29.7%
1 235
20.9%
3 223
19.9%
0 71
 
6.3%
2 70
 
6.2%
4 49
 
4.4%
6 40
 
3.6%
7 35
 
3.1%
5 35
 
3.1%
9 31
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1135
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 333
29.3%
1 235
20.7%
3 223
19.6%
0 71
 
6.3%
2 70
 
6.2%
4 49
 
4.3%
6 40
 
3.5%
7 35
 
3.1%
5 35
 
3.1%
9 31
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1135
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 333
29.3%
1 235
20.7%
3 223
19.6%
0 71
 
6.3%
2 70
 
6.2%
4 49
 
4.3%
6 40
 
3.5%
7 35
 
3.1%
5 35
 
3.1%
9 31
 
2.7%

지번주소
Text

Distinct351
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-05-11T16:03:04.027004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length37
Mean length28.073973
Min length13

Characters and Unicode

Total characters10247
Distinct characters247
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique339 ?
Unique (%)92.9%

Sample

1st row서울특별시 송파구 가락동 79-5 밀리아나2차1401호
2nd row서울특별시 송파구 방이동 24번지
3rd row서울특별시 송파구 가락동 산 7-9번지
4th row서울특별시 송파구 신천동 11-7번지 교통회관1
5th row서울특별시 송파구 가락동 193-3번지 광성빌딩3
ValueCountFrequency (%)
송파구 366
 
18.2%
서울특별시 365
 
18.2%
문정동 79
 
3.9%
가락동 67
 
3.3%
잠실동 58
 
2.9%
방이동 53
 
2.6%
송파동 24
 
1.2%
신천동 23
 
1.1%
석촌동 21
 
1.0%
가든파이브라이프 20
 
1.0%
Other values (613) 935
46.5%
2024-05-11T16:03:04.941330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1779
 
17.4%
파 444
 
4.3%
동 417
 
4.1%
송 405
 
4.0%
1 403
 
3.9%
시 382
 
3.7%
서 368
 
3.6%
별 366
 
3.6%
구 366
 
3.6%
울 366
 
3.6%
Other values (237) 4951
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6211
60.6%
Decimal Number 1893
 
18.5%
Space Separator 1779
 
17.4%
Dash Punctuation 274
 
2.7%
Uppercase Letter 76
 
0.7%
Lowercase Letter 6
 
0.1%
Other Punctuation 3
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 444
 
7.1%
동 417
 
6.7%
송 405
 
6.5%
시 382
 
6.2%
서 368
 
5.9%
별 366
 
5.9%
구 366
 
5.9%
울 366
 
5.9%
특 365
 
5.9%
지 236
 
3.8%
Other values (200) 2496
40.2%
Uppercase Letter
ValueCountFrequency (%)
B 20
26.3%
A 12
15.8%
T 6
 
7.9%
S 5
 
6.6%
Y 5
 
6.6%
K 4
 
5.3%
V 3
 
3.9%
C 3
 
3.9%
F 3
 
3.9%
G 3
 
3.9%
Other values (8) 12
15.8%
Decimal Number
ValueCountFrequency (%)
1 403
21.3%
2 269
14.2%
0 195
10.3%
3 171
9.0%
9 161
 
8.5%
4 152
 
8.0%
6 144
 
7.6%
7 142
 
7.5%
5 141
 
7.4%
8 115
 
6.1%
Lowercase Letter
ValueCountFrequency (%)
s 4
66.7%
m 2
33.3%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
/ 1
33.3%
Space Separator
ValueCountFrequency (%)
1779
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 274
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6211
60.6%
Common 3954
38.6%
Latin 82
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 444
 
7.1%
동 417
 
6.7%
송 405
 
6.5%
시 382
 
6.2%
서 368
 
5.9%
별 366
 
5.9%
구 366
 
5.9%
울 366
 
5.9%
특 365
 
5.9%
지 236
 
3.8%
Other values (200) 2496
40.2%
Latin
ValueCountFrequency (%)
B 20
24.4%
A 12
14.6%
T 6
 
7.3%
S 5
 
6.1%
Y 5
 
6.1%
K 4
 
4.9%
s 4
 
4.9%
V 3
 
3.7%
C 3
 
3.7%
F 3
 
3.7%
Other values (10) 17
20.7%
Common
ValueCountFrequency (%)
1779
45.0%
1 403
 
10.2%
- 274
 
6.9%
2 269
 
6.8%
0 195
 
4.9%
3 171
 
4.3%
9 161
 
4.1%
4 152
 
3.8%
6 144
 
3.6%
7 142
 
3.6%
Other values (7) 264
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6211
60.6%
ASCII 4036
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1779
44.1%
1 403
 
10.0%
- 274
 
6.8%
2 269
 
6.7%
0 195
 
4.8%
3 171
 
4.2%
9 161
 
4.0%
4 152
 
3.8%
6 144
 
3.6%
7 142
 
3.5%
Other values (27) 346
 
8.6%
Hangul
ValueCountFrequency (%)
파 444
 
7.1%
동 417
 
6.7%
송 405
 
6.5%
시 382
 
6.2%
서 368
 
5.9%
별 366
 
5.9%
구 366
 
5.9%
울 366
 
5.9%
특 365
 
5.9%
지 236
 
3.8%
Other values (200) 2496
40.2%

도로명주소
Text

MISSING 

Distinct351
Distinct (%)99.4%
Missing12
Missing (%)3.3%
Memory size3.0 KiB
2024-05-11T16:03:05.295897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length46
Mean length36.98017
Min length22

Characters and Unicode

Total characters13054
Distinct characters263
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique349 ?
Unique (%)98.9%

Sample

1st row서울특별시 송파구 송파대로28길 24, 1401호 (가락동, 밀리아나2차)
2nd row서울특별시 송파구 올림픽로30길 6-5 (방이동)
3rd row서울특별시 송파구 올림픽로 319 (신천동,교통회관1)
4th row서울특별시 송파구 동남로 202 (가락동,광성빌딩3)
5th row서울특별시 송파구 백제고분로 202 (삼전동,(3층))
ValueCountFrequency (%)
서울특별시 353
 
14.7%
송파구 353
 
14.7%
문정동 68
 
2.8%
가락동 47
 
2.0%
잠실동 38
 
1.6%
방이동 37
 
1.5%
송파대로 34
 
1.4%
충민로 30
 
1.3%
백제고분로 27
 
1.1%
올림픽로 27
 
1.1%
Other values (709) 1384
57.7%
2024-05-11T16:03:05.879359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2136
 
16.4%
파 505
 
3.9%
송 464
 
3.6%
1 462
 
3.5%
, 447
 
3.4%
동 429
 
3.3%
시 369
 
2.8%
서 357
 
2.7%
로 357
 
2.7%
( 356
 
2.7%
Other values (253) 7172
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7443
57.0%
Space Separator 2136
 
16.4%
Decimal Number 2118
 
16.2%
Other Punctuation 448
 
3.4%
Open Punctuation 356
 
2.7%
Close Punctuation 356
 
2.7%
Uppercase Letter 116
 
0.9%
Dash Punctuation 73
 
0.6%
Lowercase Letter 6
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 505
 
6.8%
송 464
 
6.2%
동 429
 
5.8%
시 369
 
5.0%
서 357
 
4.8%
로 357
 
4.8%
별 354
 
4.8%
울 354
 
4.8%
특 353
 
4.7%
구 353
 
4.7%
Other values (215) 3548
47.7%
Uppercase Letter
ValueCountFrequency (%)
B 27
23.3%
A 19
16.4%
S 9
 
7.8%
T 8
 
6.9%
C 7
 
6.0%
F 6
 
5.2%
K 4
 
3.4%
D 4
 
3.4%
G 4
 
3.4%
L 4
 
3.4%
Other values (9) 24
20.7%
Decimal Number
ValueCountFrequency (%)
1 462
21.8%
2 341
16.1%
0 273
12.9%
3 222
10.5%
6 174
 
8.2%
5 149
 
7.0%
4 144
 
6.8%
8 135
 
6.4%
9 125
 
5.9%
7 93
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 447
99.8%
/ 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
s 4
66.7%
m 2
33.3%
Space Separator
ValueCountFrequency (%)
2136
100.0%
Open Punctuation
ValueCountFrequency (%)
( 356
100.0%
Close Punctuation
ValueCountFrequency (%)
) 356
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 73
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7443
57.0%
Common 5489
42.0%
Latin 122
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 505
 
6.8%
송 464
 
6.2%
동 429
 
5.8%
시 369
 
5.0%
서 357
 
4.8%
로 357
 
4.8%
별 354
 
4.8%
울 354
 
4.8%
특 353
 
4.7%
구 353
 
4.7%
Other values (215) 3548
47.7%
Latin
ValueCountFrequency (%)
B 27
22.1%
A 19
15.6%
S 9
 
7.4%
T 8
 
6.6%
C 7
 
5.7%
F 6
 
4.9%
K 4
 
3.3%
D 4
 
3.3%
G 4
 
3.3%
L 4
 
3.3%
Other values (11) 30
24.6%
Common
ValueCountFrequency (%)
2136
38.9%
1 462
 
8.4%
, 447
 
8.1%
( 356
 
6.5%
) 356
 
6.5%
2 341
 
6.2%
0 273
 
5.0%
3 222
 
4.0%
6 174
 
3.2%
5 149
 
2.7%
Other values (7) 573
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7443
57.0%
ASCII 5611
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2136
38.1%
1 462
 
8.2%
, 447
 
8.0%
( 356
 
6.3%
) 356
 
6.3%
2 341
 
6.1%
0 273
 
4.9%
3 222
 
4.0%
6 174
 
3.1%
5 149
 
2.7%
Other values (28) 695
 
12.4%
Hangul
ValueCountFrequency (%)
파 505
 
6.8%
송 464
 
6.2%
동 429
 
5.8%
시 369
 
5.0%
서 357
 
4.8%
로 357
 
4.8%
별 354
 
4.8%
울 354
 
4.8%
특 353
 
4.7%
구 353
 
4.7%
Other values (215) 3548
47.7%

도로명우편번호
Text

MISSING 

Distinct108
Distinct (%)47.0%
Missing135
Missing (%)37.0%
Memory size3.0 KiB
2024-05-11T16:03:06.280533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0913043
Min length5

Characters and Unicode

Total characters1171
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)32.6%

Sample

1st row05718
2nd row05719
3rd row05625
4th row138-962
5th row05639
ValueCountFrequency (%)
05838 20
 
8.7%
05854 14
 
6.1%
05719 13
 
5.7%
05510 12
 
5.2%
05718 8
 
3.5%
05855 7
 
3.0%
05556 6
 
2.6%
05836 5
 
2.2%
05548 5
 
2.2%
05545 5
 
2.2%
Other values (98) 135
58.7%
2024-05-11T16:03:06.759901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 338
28.9%
0 258
22.0%
8 146
12.5%
1 88
 
7.5%
6 74
 
6.3%
3 73
 
6.2%
4 60
 
5.1%
7 59
 
5.0%
2 39
 
3.3%
9 34
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1169
99.8%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 338
28.9%
0 258
22.1%
8 146
12.5%
1 88
 
7.5%
6 74
 
6.3%
3 73
 
6.2%
4 60
 
5.1%
7 59
 
5.0%
2 39
 
3.3%
9 34
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1171
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 338
28.9%
0 258
22.0%
8 146
12.5%
1 88
 
7.5%
6 74
 
6.3%
3 73
 
6.2%
4 60
 
5.1%
7 59
 
5.0%
2 39
 
3.3%
9 34
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1171
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 338
28.9%
0 258
22.0%
8 146
12.5%
1 88
 
7.5%
6 74
 
6.3%
3 73
 
6.2%
4 60
 
5.1%
7 59
 
5.0%
2 39
 
3.3%
9 34
 
2.9%

사업장명
Text

Distinct360
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-05-11T16:03:07.018080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length7.8794521
Min length2

Characters and Unicode

Total characters2876
Distinct characters357
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

Unique355 ?
Unique (%)97.3%

Sample

1st row(주)호산나투어
2nd row티코항공여행사
3rd row새마관광
4th row(주)새그린여행사
5th row아이엠에이엔티
ValueCountFrequency (%)
주식회사 46
 
10.4%
여행사 6
 
1.4%
투어 3
 
0.7%
비즈몰투어(주 2
 
0.5%
주)프로페셔널 2
 
0.5%
주)시티원플래닝 2
 
0.5%
행복여행사 2
 
0.5%
주)꼼꼼투어 2
 
0.5%
올림픽투어 2
 
0.5%
주)플라고 1
 
0.2%
Other values (375) 375
84.7%
2024-05-11T16:03:07.457099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 237
 
8.2%
( 193
 
6.7%
) 193
 
6.7%
사 112
 
3.9%
어 106
 
3.7%
투 106
 
3.7%
이 98
 
3.4%
행 80
 
2.8%
여 79
 
2.7%
78
 
2.7%
Other values (347) 1594
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2345
81.5%
Open Punctuation 193
 
6.7%
Close Punctuation 193
 
6.7%
Space Separator 78
 
2.7%
Uppercase Letter 47
 
1.6%
Lowercase Letter 11
 
0.4%
Other Punctuation 8
 
0.3%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 237
 
10.1%
사 112
 
4.8%
어 106
 
4.5%
투 106
 
4.5%
이 98
 
4.2%
행 80
 
3.4%
여 79
 
3.4%
스 74
 
3.2%
트 53
 
2.3%
회 49
 
2.1%
Other values (313) 1351
57.6%
Uppercase Letter
ValueCountFrequency (%)
S 5
 
10.6%
N 5
 
10.6%
T 4
 
8.5%
A 4
 
8.5%
I 3
 
6.4%
H 3
 
6.4%
C 3
 
6.4%
O 3
 
6.4%
U 2
 
4.3%
P 2
 
4.3%
Other values (9) 13
27.7%
Lowercase Letter
ValueCountFrequency (%)
o 3
27.3%
r 2
18.2%
n 1
 
9.1%
m 1
 
9.1%
a 1
 
9.1%
v 1
 
9.1%
e 1
 
9.1%
l 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
. 4
50.0%
& 2
25.0%
, 2
25.0%
Open Punctuation
ValueCountFrequency (%)
( 193
100.0%
Close Punctuation
ValueCountFrequency (%)
) 193
100.0%
Space Separator
ValueCountFrequency (%)
78
100.0%
Decimal Number
ValueCountFrequency (%)
7 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2345
81.5%
Common 473
 
16.4%
Latin 58
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 237
 
10.1%
사 112
 
4.8%
어 106
 
4.5%
투 106
 
4.5%
이 98
 
4.2%
행 80
 
3.4%
여 79
 
3.4%
스 74
 
3.2%
트 53
 
2.3%
회 49
 
2.1%
Other values (313) 1351
57.6%
Latin
ValueCountFrequency (%)
S 5
 
8.6%
N 5
 
8.6%
T 4
 
6.9%
A 4
 
6.9%
I 3
 
5.2%
o 3
 
5.2%
H 3
 
5.2%
C 3
 
5.2%
O 3
 
5.2%
U 2
 
3.4%
Other values (17) 23
39.7%
Common
ValueCountFrequency (%)
( 193
40.8%
) 193
40.8%
78
16.5%
. 4
 
0.8%
& 2
 
0.4%
, 2
 
0.4%
7 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2345
81.5%
ASCII 531
 
18.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 237
 
10.1%
사 112
 
4.8%
어 106
 
4.5%
투 106
 
4.5%
이 98
 
4.2%
행 80
 
3.4%
여 79
 
3.4%
스 74
 
3.2%
트 53
 
2.3%
회 49
 
2.1%
Other values (313) 1351
57.6%
ASCII
ValueCountFrequency (%)
( 193
36.3%
) 193
36.3%
78
14.7%
S 5
 
0.9%
N 5
 
0.9%
T 4
 
0.8%
A 4
 
0.8%
. 4
 
0.8%
I 3
 
0.6%
o 3
 
0.6%
Other values (24) 39
 
7.3%

최종수정일자
Date

Distinct351
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2003-04-23 11:27:48
Maximum2024-04-17 09:23:47
2024-05-11T16:03:07.623917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:03:07.797808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
U
201 
I
163 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
U 201
55.1%
I 163
44.7%
D 1
 
0.3%

Length

2024-05-11T16:03:07.969435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:03:08.108767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 201
55.1%
i 163
44.7%
d 1
 
0.3%

데이터갱신일자
Date

Distinct170
Distinct (%)46.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:07:00
2024-05-11T16:03:08.276720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:03:08.506566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing365
Missing (%)100.0%
Memory size3.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct220
Distinct (%)63.8%
Missing20
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean209789.93
Minimum206383.83
Maximum213809.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T16:03:08.710333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206383.83
5-th percentile206973.03
Q1209094.56
median210112.1
Q3210749
95-th percentile211792.72
Maximum213809.76
Range7425.9301
Interquartile range (IQR)1654.4417

Descriptive statistics

Standard deviation1473.0291
Coefficient of variation (CV)0.0070214483
Kurtosis-0.31636448
Mean209789.93
Median Absolute Deviation (MAD)874.36485
Skewness-0.41045496
Sum72377525
Variance2169814.8
MonotonicityNot monotonic
2024-05-11T16:03:08.883521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210986.460698452 19
 
5.2%
210431.832858016 8
 
2.2%
210591.787825479 8
 
2.2%
209248.063694462 6
 
1.6%
210491.321883503 6
 
1.6%
211053.119518 5
 
1.4%
208233.926974585 5
 
1.4%
210481.077142289 5
 
1.4%
210627.0 5
 
1.4%
210112.095847264 4
 
1.1%
Other values (210) 274
75.1%
(Missing) 20
 
5.5%
ValueCountFrequency (%)
206383.829438022 1
 
0.3%
206726.499021996 1
 
0.3%
206802.873762097 1
 
0.3%
206895.380256076 1
 
0.3%
206908.348523164 2
0.5%
206914.005245094 4
1.1%
206919.478094926 1
 
0.3%
206932.357872339 1
 
0.3%
206941.757489986 3
0.8%
206943.862539331 1
 
0.3%
ValueCountFrequency (%)
213809.759558339 1
0.3%
213279.781081276 1
0.3%
212877.140294641 1
0.3%
212873.839126235 1
0.3%
212852.620762184 1
0.3%
212659.0 1
0.3%
212645.539631084 1
0.3%
212609.377447603 1
0.3%
212505.114427183 2
0.5%
212407.878210557 1
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct219
Distinct (%)63.5%
Missing20
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean444426.03
Minimum441586.03
Maximum447968.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T16:03:09.055310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441586.03
5-th percentile441725.29
Q1443481.21
median444719.12
Q3445470.11
95-th percentile446061.44
Maximum447968.03
Range6381.998
Interquartile range (IQR)1988.8934

Descriptive statistics

Standard deviation1380.8126
Coefficient of variation (CV)0.0031069571
Kurtosis-0.51277331
Mean444426.03
Median Absolute Deviation (MAD)1060.7204
Skewness-0.37974033
Sum1.5332698 × 108
Variance1906643.5
MonotonicityNot monotonic
2024-05-11T16:03:09.224296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
441725.293491662 19
 
5.2%
443465.4592322 8
 
2.2%
443574.427660288 8
 
2.2%
446061.439207259 6
 
1.6%
443569.763243482 6
 
1.6%
442026.988783 5
 
1.4%
445435.257647797 5
 
1.4%
443448.892122874 5
 
1.4%
442875.0 5
 
1.4%
445960.615515654 4
 
1.1%
Other values (209) 274
75.1%
(Missing) 20
 
5.5%
ValueCountFrequency (%)
441586.029967716 1
 
0.3%
441632.0 1
 
0.3%
441725.293491662 19
5.2%
441833.16323518 3
 
0.8%
441953.803802768 1
 
0.3%
441971.271264751 1
 
0.3%
441996.227705236 2
 
0.5%
442026.988783 5
 
1.4%
442053.227933005 2
 
0.5%
442070.575741668 1
 
0.3%
ValueCountFrequency (%)
447968.027991844 1
 
0.3%
447914.521145312 2
 
0.5%
447527.804920722 1
 
0.3%
447302.241094811 1
 
0.3%
447214.905374231 1
 
0.3%
446708.866138582 1
 
0.3%
446299.352775446 2
 
0.5%
446201.867636819 2
 
0.5%
446085.121305444 2
 
0.5%
446061.439207259 6
1.6%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
국내외여행업
249 
<NA>
116 

Length

Max length6
Median length6
Mean length5.3643836
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내외여행업 249
68.2%
<NA> 116
31.8%

Length

2024-05-11T16:03:09.392939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:03:09.527511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 249
68.2%
na 116
31.8%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
243 
관광사업
122 

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> 243
66.6%
관광사업 122
33.4%

Length

2024-05-11T16:03:09.652903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:03:09.771323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 243
66.6%
관광사업 122
33.4%

지역구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
297 
준주거지역
34 
근린상업지역
 
13
일반상업지역
 
7
일반주거지역
 
6
Other values (2)
 
8

Length

Max length6
Median length4
Mean length4.2356164
Min length4

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> 297
81.4%
준주거지역 34
 
9.3%
근린상업지역 13
 
3.6%
일반상업지역 7
 
1.9%
일반주거지역 6
 
1.6%
상업지역 6
 
1.6%
주거지역 2
 
0.5%

Length

2024-05-11T16:03:09.902375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:03:10.053202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 297
81.4%
준주거지역 34
 
9.3%
근린상업지역 13
 
3.6%
일반상업지역 7
 
1.9%
일반주거지역 6
 
1.6%
상업지역 6
 
1.6%
주거지역 2
 
0.5%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)28.9%
Missing320
Missing (%)87.7%
Infinite0
Infinite (%)0.0%
Mean5.4222222
Minimum0
Maximum51
Zeros5
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T16:03:10.194203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q37
95-th percentile15.6
Maximum51
Range51
Interquartile range (IQR)6

Descriptive statistics

Standard deviation8.6115379
Coefficient of variation (CV)1.5881935
Kurtosis17.706021
Mean5.4222222
Median Absolute Deviation (MAD)1
Skewness3.7060343
Sum244
Variance74.158586
MonotonicityNot monotonic
2024-05-11T16:03:10.334011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 19
 
5.2%
0 5
 
1.4%
4 4
 
1.1%
14 3
 
0.8%
5 3
 
0.8%
6 2
 
0.5%
8 2
 
0.5%
7 2
 
0.5%
12 1
 
0.3%
21 1
 
0.3%
Other values (3) 3
 
0.8%
(Missing) 320
87.7%
ValueCountFrequency (%)
0 5
 
1.4%
1 19
5.2%
4 4
 
1.1%
5 3
 
0.8%
6 2
 
0.5%
7 2
 
0.5%
8 2
 
0.5%
10 1
 
0.3%
12 1
 
0.3%
14 3
 
0.8%
ValueCountFrequency (%)
51 1
 
0.3%
21 1
 
0.3%
16 1
 
0.3%
14 3
0.8%
12 1
 
0.3%
10 1
 
0.3%
8 2
0.5%
7 2
0.5%
6 2
0.5%
5 3
0.8%

주변환경명
Categorical

IMBALANCE 

Distinct7
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
303 
기타
52 
아파트지역
 
4
주택가주변
 
3
결혼예식장주변
 
1
Other values (2)
 
2

Length

Max length8
Median length4
Mean length3.7643836
Min length2

Unique

Unique3 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 303
83.0%
기타 52
 
14.2%
아파트지역 4
 
1.1%
주택가주변 3
 
0.8%
결혼예식장주변 1
 
0.3%
유흥업소밀집지역 1
 
0.3%
학교정화(상대) 1
 
0.3%

Length

2024-05-11T16:03:10.514322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:03:10.723644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 303
83.0%
기타 52
 
14.2%
아파트지역 4
 
1.1%
주택가주변 3
 
0.8%
결혼예식장주변 1
 
0.3%
유흥업소밀집지역 1
 
0.3%
학교정화(상대 1
 
0.3%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing365
Missing (%)100.0%
Memory size3.3 KiB

보험기관명
Text

MISSING 

Distinct67
Distinct (%)37.0%
Missing184
Missing (%)50.4%
Memory size3.0 KiB
2024-05-11T16:03:11.011544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length10.657459
Min length4

Characters and Unicode

Total characters1929
Distinct characters42
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

Unique57 ?
Unique (%)31.5%

Sample

1st row한국관광협회
2nd row한국관광협회(215-05-44468)
3rd row한국관광협회
4th row한국관광협회
5th row한국관광협회
ValueCountFrequency (%)
서울보증보험 52
27.8%
한국관광협회중앙회 23
12.3%
한국관광협회 22
 
11.8%
서울보증보험주식회사 12
 
6.4%
관광협회 7
 
3.7%
여행공제회 5
 
2.7%
서울보증보험(3천만원 3
 
1.6%
서울보증보험주식회사(3천만 2
 
1.1%
서울보증 2
 
1.1%
서울보증보험3천만원 2
 
1.1%
Other values (57) 57
30.5%
2024-05-11T16:03:11.525154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
보 224
 
11.6%
서 115
 
6.0%
울 115
 
6.0%
증 113
 
5.9%
회 112
 
5.8%
험 111
 
5.8%
- 90
 
4.7%
2 72
 
3.7%
1 70
 
3.6%
관 66
 
3.4%
Other values (32) 841
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1262
65.4%
Decimal Number 461
 
23.9%
Dash Punctuation 90
 
4.7%
Close Punctuation 55
 
2.9%
Open Punctuation 55
 
2.9%
Space Separator 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 224
17.7%
서 115
9.1%
울 115
9.1%
증 113
9.0%
회 112
8.9%
험 111
8.8%
관 66
 
5.2%
광 66
 
5.2%
협 66
 
5.2%
한 56
 
4.4%
Other values (18) 218
17.3%
Decimal Number
ValueCountFrequency (%)
2 72
15.6%
1 70
15.2%
0 59
12.8%
8 54
11.7%
5 48
10.4%
3 41
8.9%
7 38
8.2%
6 29
6.3%
4 26
 
5.6%
9 24
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 90
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1262
65.4%
Common 667
34.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 224
17.7%
서 115
9.1%
울 115
9.1%
증 113
9.0%
회 112
8.9%
험 111
8.8%
관 66
 
5.2%
광 66
 
5.2%
협 66
 
5.2%
한 56
 
4.4%
Other values (18) 218
17.3%
Common
ValueCountFrequency (%)
- 90
13.5%
2 72
10.8%
1 70
10.5%
0 59
8.8%
) 55
8.2%
( 55
8.2%
8 54
8.1%
5 48
7.2%
3 41
6.1%
7 38
5.7%
Other values (4) 85
12.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1262
65.4%
ASCII 667
34.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
보 224
17.7%
서 115
9.1%
울 115
9.1%
증 113
9.0%
회 112
8.9%
험 111
8.8%
관 66
 
5.2%
광 66
 
5.2%
협 66
 
5.2%
한 56
 
4.4%
Other values (18) 218
17.3%
ASCII
ValueCountFrequency (%)
- 90
13.5%
2 72
10.8%
1 70
10.5%
0 59
8.8%
) 55
8.2%
( 55
8.2%
8 54
8.1%
5 48
7.2%
3 41
6.1%
7 38
5.7%
Other values (4) 85
12.7%

건물용도명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
297 
사무실
41 
근린생활시설
 
26
기타
 
1

Length

Max length6
Median length4
Mean length4.0246575
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 297
81.4%
사무실 41
 
11.2%
근린생활시설 26
 
7.1%
기타 1
 
0.3%

Length

2024-05-11T16:03:11.734858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:03:11.902116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 297
81.4%
사무실 41
 
11.2%
근린생활시설 26
 
7.1%
기타 1
 
0.3%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)27.5%
Missing325
Missing (%)89.0%
Infinite0
Infinite (%)0.0%
Mean5.15
Minimum0
Maximum46
Zeros5
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T16:03:12.045668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q37
95-th percentile11.25
Maximum46
Range46
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7.6411504
Coefficient of variation (CV)1.4837185
Kurtosis21.397132
Mean5.15
Median Absolute Deviation (MAD)3
Skewness4.1522382
Sum206
Variance58.387179
MonotonicityNot monotonic
2024-05-11T16:03:12.187306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 11
 
3.0%
4 6
 
1.6%
0 5
 
1.4%
10 4
 
1.1%
5 4
 
1.1%
3 3
 
0.8%
7 3
 
0.8%
16 1
 
0.3%
8 1
 
0.3%
46 1
 
0.3%
(Missing) 325
89.0%
ValueCountFrequency (%)
0 5
1.4%
1 11
3.0%
3 3
 
0.8%
4 6
1.6%
5 4
 
1.1%
7 3
 
0.8%
8 1
 
0.3%
10 4
 
1.1%
11 1
 
0.3%
16 1
 
0.3%
ValueCountFrequency (%)
46 1
 
0.3%
16 1
 
0.3%
11 1
 
0.3%
10 4
 
1.1%
8 1
 
0.3%
7 3
 
0.8%
5 4
 
1.1%
4 6
1.6%
3 3
 
0.8%
1 11
3.0%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)24.0%
Missing340
Missing (%)93.2%
Infinite0
Infinite (%)0.0%
Mean1.96
Minimum0
Maximum6
Zeros5
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T16:03:12.332533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q34
95-th percentile5
Maximum6
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.8814888
Coefficient of variation (CV)0.95994325
Kurtosis-0.60948846
Mean1.96
Median Absolute Deviation (MAD)1
Skewness0.8785122
Sum49
Variance3.54
MonotonicityNot monotonic
2024-05-11T16:03:12.483854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 10
 
2.7%
0 5
 
1.4%
4 3
 
0.8%
2 3
 
0.8%
5 3
 
0.8%
6 1
 
0.3%
(Missing) 340
93.2%
ValueCountFrequency (%)
0 5
1.4%
1 10
2.7%
2 3
 
0.8%
4 3
 
0.8%
5 3
 
0.8%
6 1
 
0.3%
ValueCountFrequency (%)
6 1
 
0.3%
5 3
 
0.8%
4 3
 
0.8%
2 3
 
0.8%
1 10
2.7%
0 5
1.4%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
364 
0
 
1

Length

Max length4
Median length4
Mean length3.9917808
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 364
99.7%
0 1
 
0.3%

Length

2024-05-11T16:03:12.681806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:03:12.863028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 364
99.7%
0 1
 
0.3%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
364 
0
 
1

Length

Max length4
Median length4
Mean length3.9917808
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 364
99.7%
0 1
 
0.3%

Length

2024-05-11T16:03:13.075435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:03:13.226061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 364
99.7%
0 1
 
0.3%

영문상호명
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing360
Missing (%)98.6%
Memory size3.0 KiB
2024-05-11T16:03:13.393568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length16
Mean length17.6
Min length12

Characters and Unicode

Total characters88
Distinct characters35
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st rowWITH TRAVEL SERVICE CO.,LTD.
2nd rowBisang Summit Inc.
3rd rowPlago Co., Ltd
4th rowOWNERGOLF & TOUR
5th rowAdon Co.,Ltd
ValueCountFrequency (%)
co.,ltd 2
13.3%
with 1
 
6.7%
travel 1
 
6.7%
service 1
 
6.7%
bisang 1
 
6.7%
summit 1
 
6.7%
inc 1
 
6.7%
plago 1
 
6.7%
co 1
 
6.7%
ltd 1
 
6.7%
Other values (4) 4
26.7%
2024-05-11T16:03:13.802160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10
 
11.4%
L 5
 
5.7%
. 5
 
5.7%
C 4
 
4.5%
T 4
 
4.5%
R 4
 
4.5%
o 4
 
4.5%
E 4
 
4.5%
O 4
 
4.5%
n 3
 
3.4%
Other values (25) 41
46.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 44
50.0%
Lowercase Letter 25
28.4%
Space Separator 10
 
11.4%
Other Punctuation 9
 
10.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
L 5
11.4%
C 4
 
9.1%
T 4
 
9.1%
R 4
 
9.1%
E 4
 
9.1%
O 4
 
9.1%
I 3
 
6.8%
W 2
 
4.5%
S 2
 
4.5%
V 2
 
4.5%
Other values (9) 10
22.7%
Lowercase Letter
ValueCountFrequency (%)
o 4
16.0%
n 3
12.0%
t 3
12.0%
d 3
12.0%
m 2
8.0%
a 2
8.0%
g 2
8.0%
i 2
8.0%
s 1
 
4.0%
u 1
 
4.0%
Other values (2) 2
8.0%
Other Punctuation
ValueCountFrequency (%)
. 5
55.6%
, 3
33.3%
& 1
 
11.1%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 69
78.4%
Common 19
 
21.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
L 5
 
7.2%
C 4
 
5.8%
T 4
 
5.8%
R 4
 
5.8%
o 4
 
5.8%
E 4
 
5.8%
O 4
 
5.8%
n 3
 
4.3%
I 3
 
4.3%
t 3
 
4.3%
Other values (21) 31
44.9%
Common
ValueCountFrequency (%)
10
52.6%
. 5
26.3%
, 3
 
15.8%
& 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 88
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10
 
11.4%
L 5
 
5.7%
. 5
 
5.7%
C 4
 
4.5%
T 4
 
4.5%
R 4
 
4.5%
o 4
 
4.5%
E 4
 
4.5%
O 4
 
4.5%
n 3
 
3.4%
Other values (25) 41
46.6%

영문상호주소
Text

MISSING 

Distinct3
Distinct (%)60.0%
Missing360
Missing (%)98.6%
Memory size3.0 KiB
2024-05-11T16:03:14.301382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length25
Min length24

Characters and Unicode

Total characters125
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)40.0%

Sample

1st rowInternational Travel Business
2nd rowOverseas Travel Business
3rd rowOverseas Travel Business
4th rowOverseas travel business
5th rowOverseas Travel Business
ValueCountFrequency (%)
travel 5
33.3%
business 5
33.3%
overseas 4
26.7%
international 1
 
6.7%
2024-05-11T16:03:14.632461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
s 23
18.4%
e 19
15.2%
a 11
8.8%
r 10
8.0%
10
8.0%
v 9
 
7.2%
n 8
 
6.4%
l 6
 
4.8%
i 6
 
4.8%
u 5
 
4.0%
Other values (7) 18
14.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 102
81.6%
Uppercase Letter 13
 
10.4%
Space Separator 10
 
8.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 23
22.5%
e 19
18.6%
a 11
10.8%
r 10
9.8%
v 9
 
8.8%
n 8
 
7.8%
l 6
 
5.9%
i 6
 
5.9%
u 5
 
4.9%
t 3
 
2.9%
Other values (2) 2
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
O 4
30.8%
B 4
30.8%
T 4
30.8%
I 1
 
7.7%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 115
92.0%
Common 10
 
8.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 23
20.0%
e 19
16.5%
a 11
9.6%
r 10
8.7%
v 9
 
7.8%
n 8
 
7.0%
l 6
 
5.2%
i 6
 
5.2%
u 5
 
4.3%
O 4
 
3.5%
Other values (6) 14
12.2%
Common
ValueCountFrequency (%)
10
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 125
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 23
18.4%
e 19
15.2%
a 11
8.8%
r 10
8.0%
10
8.0%
v 9
 
7.2%
n 8
 
6.4%
l 6
 
4.8%
i 6
 
4.8%
u 5
 
4.0%
Other values (7) 18
14.4%

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
364 
0
 
1

Length

Max length4
Median length4
Mean length3.9917808
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 364
99.7%
0 1
 
0.3%

Length

2024-05-11T16:03:14.827038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:03:14.959212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 364
99.7%
0 1
 
0.3%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
364 
0
 
1

Length

Max length4
Median length4
Mean length3.9917808
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 364
99.7%
0 1
 
0.3%

Length

2024-05-11T16:03:15.112732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:03:15.325082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 364
99.7%
0 1
 
0.3%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing365
Missing (%)100.0%
Memory size3.3 KiB

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
364 
0
 
1

Length

Max length4
Median length4
Mean length3.9917808
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 364
99.7%
0 1
 
0.3%

Length

2024-05-11T16:03:15.514098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:03:15.683820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 364
99.7%
0 1
 
0.3%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
364 
0
 
1

Length

Max length4
Median length4
Mean length3.9917808
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 364
99.7%
0 1
 
0.3%

Length

2024-05-11T16:03:15.868944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:03:16.011414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 364
99.7%
0 1
 
0.3%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing365
Missing (%)100.0%
Memory size3.3 KiB

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
364 
0
 
1

Length

Max length4
Median length4
Mean length3.9917808
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 364
99.7%
0 1
 
0.3%

Length

2024-05-11T16:03:16.168249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:03:16.315671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 364
99.7%
0 1
 
0.3%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct49
Distinct (%)71.0%
Missing296
Missing (%)81.1%
Infinite0
Infinite (%)0.0%
Mean91.166522
Minimum0
Maximum761.43
Zeros16
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T16:03:16.481779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115
median45.74
Q399.17
95-th percentile382.902
Maximum761.43
Range761.43
Interquartile range (IQR)84.17

Descriptive statistics

Standard deviation150.36643
Coefficient of variation (CV)1.6493601
Kurtosis11.19337
Mean91.166522
Median Absolute Deviation (MAD)45.74
Skewness3.2920616
Sum6290.49
Variance22610.062
MonotonicityNot monotonic
2024-05-11T16:03:16.685430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0.0 16
 
4.4%
33.06 2
 
0.5%
65.0 2
 
0.5%
99.0 2
 
0.5%
82.5 2
 
0.5%
132.0 2
 
0.5%
62.51 1
 
0.3%
23.0 1
 
0.3%
39.53 1
 
0.3%
23.5 1
 
0.3%
Other values (39) 39
 
10.7%
(Missing) 296
81.1%
ValueCountFrequency (%)
0.0 16
4.4%
7.26 1
 
0.3%
15.0 1
 
0.3%
16.52 1
 
0.3%
23.0 1
 
0.3%
23.5 1
 
0.3%
27.36 1
 
0.3%
28.25 1
 
0.3%
29.16 1
 
0.3%
30.0 1
 
0.3%
ValueCountFrequency (%)
761.43 1
0.3%
719.78 1
0.3%
599.28 1
0.3%
506.17 1
0.3%
198.0 1
0.3%
187.65 1
0.3%
186.0 1
0.3%
170.88 1
0.3%
152.0 1
0.3%
132.0 2
0.5%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing365
Missing (%)100.0%
Memory size3.3 KiB

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
364 
0
 
1

Length

Max length4
Median length4
Mean length3.9917808
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 364
99.7%
0 1
 
0.3%

Length

2024-05-11T16:03:16.884526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:03:17.038213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 364
99.7%
0 1
 
0.3%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing365
Missing (%)100.0%
Memory size3.3 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing365
Missing (%)100.0%
Memory size3.3 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing365
Missing (%)100.0%
Memory size3.3 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing365
Missing (%)100.0%
Memory size3.3 KiB

기획여행보험시작일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
360 
20150914
 
1
20150210
 
1
20160517
 
1
20160112
 
1

Length

Max length8
Median length4
Mean length4.0547945
Min length4

Unique

Unique5 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 360
98.6%
20150914 1
 
0.3%
20150210 1
 
0.3%
20160517 1
 
0.3%
20160112 1
 
0.3%
20200216 1
 
0.3%

Length

2024-05-11T16:03:17.179242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:03:17.359799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 360
98.6%
20150914 1
 
0.3%
20150210 1
 
0.3%
20160517 1
 
0.3%
20160112 1
 
0.3%
20200216 1
 
0.3%

기획여행보험종료일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
360 
20160913
 
1
20160209
 
1
20180517
 
1
20180112
 
1

Length

Max length8
Median length4
Mean length4.0547945
Min length4

Unique

Unique5 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 360
98.6%
20160913 1
 
0.3%
20160209 1
 
0.3%
20180517 1
 
0.3%
20180112 1
 
0.3%
20210215 1
 
0.3%

Length

2024-05-11T16:03:17.582530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:03:17.776829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 360
98.6%
20160913 1
 
0.3%
20160209 1
 
0.3%
20180517 1
 
0.3%
20180112 1
 
0.3%
20210215 1
 
0.3%

자본금
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)18.7%
Missing151
Missing (%)41.4%
Infinite0
Infinite (%)0.0%
Mean95916449
Minimum100000
Maximum6 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T16:03:17.966311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100000
5-th percentile30000000
Q160000000
median1 × 108
Q31 × 108
95-th percentile2.0526869 × 108
Maximum6 × 108
Range5.999 × 108
Interquartile range (IQR)40000000

Descriptive statistics

Standard deviation69726152
Coefficient of variation (CV)0.72694676
Kurtosis18.803782
Mean95916449
Median Absolute Deviation (MAD)33247116
Skewness3.6045852
Sum2.052612 × 1010
Variance4.8617362 × 1015
MonotonicityNot monotonic
2024-05-11T16:03:18.157578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
100000000 87
23.8%
60000000 43
 
11.8%
30000000 17
 
4.7%
150000000 8
 
2.2%
90000000 8
 
2.2%
50000000 5
 
1.4%
300000000 5
 
1.4%
200000000 4
 
1.1%
45000000 2
 
0.5%
110000000 2
 
0.5%
Other values (30) 33
 
9.0%
(Missing) 151
41.4%
ValueCountFrequency (%)
100000 1
 
0.3%
10000000 1
 
0.3%
30000000 17
4.7%
30028520 1
 
0.3%
31189386 1
 
0.3%
31305386 1
 
0.3%
32489097 1
 
0.3%
35000000 2
 
0.5%
35893314 1
 
0.3%
40000000 1
 
0.3%
ValueCountFrequency (%)
600000000 1
 
0.3%
500000000 1
 
0.3%
353440106 1
 
0.3%
300000000 5
1.4%
250000000 2
 
0.5%
215053388 1
 
0.3%
200000000 4
1.1%
185000000 1
 
0.3%
150000000 8
2.2%
135494232 1
 
0.3%

보험시작일자
Real number (ℝ)

MISSING 

Distinct187
Distinct (%)96.4%
Missing171
Missing (%)46.8%
Infinite0
Infinite (%)0.0%
Mean20138720
Minimum19980819
Maximum20210717
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T16:03:18.352332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980819
5-th percentile20051053
Q120101211
median20145760
Q320190322
95-th percentile20200503
Maximum20210717
Range229898
Interquartile range (IQR)89110.75

Descriptive statistics

Standard deviation51512.835
Coefficient of variation (CV)0.0025579001
Kurtosis-0.42524859
Mean20138720
Median Absolute Deviation (MAD)44562
Skewness-0.61006997
Sum3.9069117 × 109
Variance2.6535722 × 109
MonotonicityNot monotonic
2024-05-11T16:03:18.558989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190408 2
 
0.5%
20110321 2
 
0.5%
20180601 2
 
0.5%
20080305 2
 
0.5%
20191002 2
 
0.5%
20191112 2
 
0.5%
20060510 2
 
0.5%
20130614 1
 
0.3%
20181008 1
 
0.3%
20110801 1
 
0.3%
Other values (177) 177
48.5%
(Missing) 171
46.8%
ValueCountFrequency (%)
19980819 1
0.3%
19990116 1
0.3%
19990907 1
0.3%
20040503 1
0.3%
20040726 1
0.3%
20050804 1
0.3%
20050805 1
0.3%
20050807 1
0.3%
20050826 1
0.3%
20050922 1
0.3%
ValueCountFrequency (%)
20210717 1
0.3%
20210614 1
0.3%
20210420 1
0.3%
20210408 1
0.3%
20210310 1
0.3%
20201007 1
0.3%
20200902 1
0.3%
20200716 1
0.3%
20200709 1
0.3%
20200507 1
0.3%

보험종료일자
Real number (ℝ)

MISSING 

Distinct187
Distinct (%)96.4%
Missing171
Missing (%)46.8%
Infinite0
Infinite (%)0.0%
Mean20152014
Minimum19990818
Maximum20230114
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T16:03:18.764562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990818
5-th percentile20061053
Q120111211
median20180318
Q320200321
95-th percentile20210577
Maximum20230114
Range239296
Interquartile range (IQR)89110

Descriptive statistics

Standard deviation52350.15
Coefficient of variation (CV)0.0025977626
Kurtosis-0.38792538
Mean20152014
Median Absolute Deviation (MAD)29897
Skewness-0.73512429
Sum3.9094908 × 109
Variance2.7405382 × 109
MonotonicityNot monotonic
2024-05-11T16:03:18.945379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20201031 2
 
0.5%
20090724 2
 
0.5%
20190531 2
 
0.5%
20201001 2
 
0.5%
20200407 2
 
0.5%
20201111 2
 
0.5%
20070510 2
 
0.5%
20130712 1
 
0.3%
20190302 1
 
0.3%
20191008 1
 
0.3%
Other values (177) 177
48.5%
(Missing) 171
46.8%
ValueCountFrequency (%)
19990818 1
0.3%
20000115 1
0.3%
20000906 1
0.3%
20050503 1
0.3%
20050726 1
0.3%
20060803 1
0.3%
20060805 1
0.3%
20060806 1
0.3%
20060826 1
0.3%
20060922 1
0.3%
ValueCountFrequency (%)
20230114 1
0.3%
20220716 1
0.3%
20220613 1
0.3%
20220419 1
0.3%
20220407 1
0.3%
20220309 1
0.3%
20211006 1
0.3%
20210901 1
0.3%
20210716 1
0.3%
20210708 1
0.3%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing365
Missing (%)100.0%
Memory size3.3 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct42
Distinct (%)60.9%
Missing296
Missing (%)81.1%
Infinite0
Infinite (%)0.0%
Mean91.188406
Minimum0
Maximum761
Zeros16
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T16:03:19.122279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115
median46
Q399
95-th percentile382.8
Maximum761
Range761
Interquartile range (IQR)84

Descriptive statistics

Standard deviation150.33544
Coefficient of variation (CV)1.6486245
Kurtosis11.187673
Mean91.188406
Median Absolute Deviation (MAD)46
Skewness3.2909233
Sum6292
Variance22600.743
MonotonicityNot monotonic
2024-05-11T16:03:19.384570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 16
 
4.4%
33 5
 
1.4%
99 3
 
0.8%
132 2
 
0.5%
40 2
 
0.5%
65 2
 
0.5%
83 2
 
0.5%
115 2
 
0.5%
66 2
 
0.5%
23 1
 
0.3%
Other values (32) 32
 
8.8%
(Missing) 296
81.1%
ValueCountFrequency (%)
0 16
4.4%
7 1
 
0.3%
15 1
 
0.3%
17 1
 
0.3%
23 1
 
0.3%
24 1
 
0.3%
27 1
 
0.3%
28 1
 
0.3%
29 1
 
0.3%
30 1
 
0.3%
ValueCountFrequency (%)
761 1
0.3%
720 1
0.3%
599 1
0.3%
506 1
0.3%
198 1
0.3%
188 1
0.3%
186 1
0.3%
171 1
0.3%
152 1
0.3%
132 2
0.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03230000CDFI22600219880000011988-06-02<NA>1영업/정상13영업중<NA><NA><NA><NA>3401-7091<NA>138-803서울특별시 송파구 가락동 79-5 밀리아나2차1401호서울특별시 송파구 송파대로28길 24, 1401호 (가락동, 밀리아나2차)05718(주)호산나투어2023-05-17 10:38:25U2022-12-04 23:09:00.0<NA>210591.787825443574.42766<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13230000CDFI226002199200000119920529<NA>3폐업3폐업19960702<NA><NA><NA>202-1181<NA>138827서울특별시 송파구 방이동 24번지서울특별시 송파구 올림픽로30길 6-5 (방이동)<NA>티코항공여행사2003-04-23 11:27:48I2018-08-31 23:59:59.0<NA>209443.50125445885.938643국내외여행업관광사업<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
23230000CDFI226002199300000119930223<NA>3폐업3폐업19960605<NA><NA><NA><NA><NA>138160서울특별시 송파구 가락동 산 7-9번지<NA><NA>새마관광2003-04-23 11:27:48I2018-08-31 23:59:59.0<NA><NA><NA>국내외여행업관광사업<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
33230000CDFI226002199400000119940727<NA>3폐업3폐업20021015<NA><NA><NA>423-9900<NA>138240서울특별시 송파구 신천동 11-7번지 교통회관1서울특별시 송파구 올림픽로 319 (신천동,교통회관1)<NA>(주)새그린여행사2004-09-09 17:28:48I2018-08-31 23:59:59.0<NA>209243.16935445935.092531국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43230000CDFI226002199500000219951214<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>448-6607<NA>138812서울특별시 송파구 가락동 193-3번지 광성빌딩3서울특별시 송파구 동남로 202 (가락동,광성빌딩3)<NA>아이엠에이엔티2007-05-18 18:38:51I2018-08-31 23:59:59.0<NA>211522.187831443693.193641국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53230000CDFI226002199600000119960425<NA>3폐업3폐업19980202<NA><NA><NA>203-8882<NA>138837서울특별시 송파구 삼전동 28-22번지 (3층)서울특별시 송파구 백제고분로 202 (삼전동,(3층))<NA>티.와이.티여행사2003-04-23 11:27:48I2018-08-31 23:59:59.0<NA>207801.420108444625.035728국내외여행업관광사업<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
63230000CDFI226002199600000319960501<NA>3폐업3폐업19980408<NA><NA><NA>420-6775<NA>138837서울특별시 송파구 삼전동 7-7번지 (3)서울특별시 송파구 백제고분로 197 (삼전동,(3))<NA>세계속의나2003-04-23 11:27:48I2018-08-31 23:59:59.0<NA>207779.29771444688.65276국내외여행업관광사업<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
73230000CDFI226002199600000419960529<NA>3폐업3폐업19990419<NA><NA><NA>3401-1253<NA>138858서울특별시 송파구 오금동 81-6번지 금웅B/D 4층호서울특별시 송파구 중대로 298, 4층호 (오금동,금웅B/D)<NA>(주)이상한여행사2003-04-23 11:27:48I2018-08-31 23:59:59.0<NA>211679.526815444975.48464국내외여행업관광사업<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
83230000CDFI226002199600000519960731<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>4482-587<NA>138802서울특별시 송파구 가락동 72-7번지서울특별시 송파구 송파대로30길 41-22 (가락동)<NA>자영산업2007-05-18 18:39:31I2018-08-31 23:59:59.0<NA>210626.482893443879.149572국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93230000CDFI226002199600000619961002<NA>3폐업3폐업19980302<NA><NA><NA>4152-927<NA>138861서울특별시 송파구 잠실동 175-1번지서울특별시 송파구 백제고분로 67 (잠실동)<NA>유람선관광여행사2003-04-23 11:27:48I2018-08-31 23:59:59.0<NA>206914.005245445399.1965국내외여행업관광사업<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
3553230000CDFI22600220230000102023-08-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 송파동 8-6서울특별시 송파구 송파대로48길 5-1, 지하1층 (송파동)05624(주)덕아웃2023-10-11 09:36:58U2022-10-30 23:03:00.0<NA>209224.655514445163.859014<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3563230000CDFI22600220230000112023-08-21<NA>5제외/삭제/전출15전출2023-12-04<NA><NA><NA><NA><NA><NA>서울특별시 송파구 방이동 62-8 석정빌딩서울특별시 송파구 오금로13길 9, 석정빌딩 518호 (방이동)05548여행짝지2023-12-04 16:06:19U2022-11-02 00:06:00.0<NA>209540.814363445695.465253<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3573230000CDFI22600220230000122023-09-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 방이동 89-11 올림픽프라자서울특별시 송파구 양재대로 1222, 올림픽프라자 1층 29호 (방이동)05648올림픽투어2024-01-03 10:11:54U2023-12-01 00:05:00.0<NA>211619.36801445963.384875<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3583230000CDFI22600220230000132023-11-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 삼전동 120 삼학빌딩서울특별시 송파구 삼학사로13길 13, 삼학빌딩 202호 (삼전동)05603임마누엘 트래블2023-11-13 15:07:10U2022-10-31 23:05:00.0<NA>208376.512219444561.037865<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3593230000CDFI22600220230000142024-01-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 189서울특별시 송파구 오금로46길 41, 2176호 (가락동)05782행복여행사2024-01-12 16:11:14D2023-11-30 23:04:00.0<NA>211734.001815443555.311648<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3603230000CDFI22600220240000012024-01-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 189서울특별시 송파구 오금로46길 41, 502호 (가락동)05782행복여행사2024-01-12 16:24:16I2023-11-30 23:04:00.0<NA>211734.001815443555.311648<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3613230000CDFI22600220240000022022-02-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 마천동 27서울특별시 송파구 문정로 246 (마천동)05737랠리2024-03-11 09:03:30U2023-12-02 23:03:00.0<NA>212505.114427444228.316139<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3623230000CDFI22600220240000032017-09-05<NA>1영업/정상13영업중<NA><NA><NA><NA>02-778-8849<NA><NA>서울특별시 송파구 방이동 211-3 희영빌딩서울특별시 송파구 마천로 8, 희영빌딩 5층 (방이동)05645(주)알씨투어2024-03-22 11:15:01I2023-12-02 22:04:00.0<NA>210701.341991445323.899487<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3633230000CDFI22600220240000042018-05-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 방이동 67-2서울특별시 송파구 오금로15길 5-12, 정환빌딩 3497호 (방이동)05548주식회사 드림솔루션교육개발원2024-04-17 09:23:47U2023-12-03 22:00:00.0<NA>209536.518981445605.311832<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3643230000CDFI22600220240000052024-04-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 634 가든파이브라이프서울특별시 송파구 충민로 66, 가든파이브라이프 지니센터D동 8층 6346호 (문정동)05838메이크컴퍼니2024-04-04 09:34:30I2023-12-04 00:06:00.0<NA>210986.460698441725.293492<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>