Overview

Dataset statistics

Number of variables60
Number of observations344
Missing cells8441
Missing cells (%)40.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory173.8 KiB
Average record size in memory517.4 B

Variable types

Categorical21
Text8
DateTime6
Numeric11
Unsupported14

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
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-17573/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (52.6%)Imbalance
지역구분명 is highly imbalanced (76.7%)Imbalance
주변환경명 is highly imbalanced (73.8%)Imbalance
건물용도명 is highly imbalanced (61.0%)Imbalance
지하층수 is highly imbalanced (67.0%)Imbalance
객실수 is highly imbalanced (85.7%)Imbalance
건축연면적 is highly imbalanced (85.7%)Imbalance
선박총톤수 is highly imbalanced (85.7%)Imbalance
선박척수 is highly imbalanced (85.7%)Imbalance
무대면적 is highly imbalanced (85.7%)Imbalance
좌석수 is highly imbalanced (85.7%)Imbalance
회의실별동시수용인원 is highly imbalanced (85.7%)Imbalance
놀이시설수 is highly imbalanced (85.7%)Imbalance
폐업일자 has 167 (48.5%) missing valuesMissing
휴업시작일자 has 341 (99.1%) missing valuesMissing
휴업종료일자 has 341 (99.1%) missing valuesMissing
재개업일자 has 344 (100.0%) missing valuesMissing
전화번호 has 90 (26.2%) missing valuesMissing
소재지면적 has 344 (100.0%) missing valuesMissing
소재지우편번호 has 95 (27.6%) missing valuesMissing
도로명주소 has 20 (5.8%) missing valuesMissing
도로명우편번호 has 186 (54.1%) missing valuesMissing
업태구분명 has 344 (100.0%) missing valuesMissing
좌표정보(X) has 8 (2.3%) missing valuesMissing
좌표정보(Y) has 8 (2.3%) missing valuesMissing
총층수 has 290 (84.3%) missing valuesMissing
제작취급품목내용 has 344 (100.0%) missing valuesMissing
지상층수 has 288 (83.7%) missing valuesMissing
영문상호명 has 341 (99.1%) missing valuesMissing
영문상호주소 has 342 (99.4%) missing valuesMissing
선박제원 has 344 (100.0%) missing valuesMissing
기념품종류 has 344 (100.0%) missing valuesMissing
시설면적 has 252 (73.3%) missing valuesMissing
놀이기구수내역 has 344 (100.0%) missing valuesMissing
방송시설유무 has 344 (100.0%) missing valuesMissing
발전시설유무 has 344 (100.0%) missing valuesMissing
의무실유무 has 344 (100.0%) missing valuesMissing
안내소유무 has 344 (100.0%) missing valuesMissing
기획여행보험시작일자 has 344 (100.0%) missing valuesMissing
기획여행보험종료일자 has 344 (100.0%) missing valuesMissing
자본금 has 200 (58.1%) missing valuesMissing
보험시작일자 has 202 (58.7%) missing valuesMissing
보험종료일자 has 202 (58.7%) missing valuesMissing
부대시설내역 has 344 (100.0%) missing valuesMissing
시설규모 has 252 (73.3%) 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
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 26 (7.6%) zerosZeros
지상층수 has 25 (7.3%) zerosZeros
시설면적 has 53 (15.4%) zerosZeros
시설규모 has 53 (15.4%) zerosZeros

Reproduction

Analysis started2024-05-11 05:34:16.380971
Analysis finished2024-05-11 05:34:17.821962
Duration1.44 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
3210000
344 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3210000
2nd row3210000
3rd row3210000
4th row3210000
5th row3210000

Common Values

ValueCountFrequency (%)
3210000 344
100.0%

Length

2024-05-11T14:34:17.919606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:18.063318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 344
100.0%

관리번호
Text

UNIQUE 

Distinct344
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-05-11T14:34:18.322944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters6880
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

Unique344 ?
Unique (%)100.0%

Sample

1st rowCDFI2260011986000001
2nd rowCDFI2260011986000002
3rd rowCDFI2260011994000002
4th rowCDFI2260011994000003
5th rowCDFI2260011994000004
ValueCountFrequency (%)
cdfi2260011986000001 1
 
0.3%
cdfi2260012013000018 1
 
0.3%
cdfi2260012014000003 1
 
0.3%
cdfi2260012014000002 1
 
0.3%
cdfi2260012013000024 1
 
0.3%
cdfi2260012013000023 1
 
0.3%
cdfi2260012013000022 1
 
0.3%
cdfi2260012013000021 1
 
0.3%
cdfi2260012013000020 1
 
0.3%
cdfi2260012014000014 1
 
0.3%
Other values (334) 334
97.1%
2024-05-11T14:34:18.870632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2733
39.7%
2 1150
16.7%
1 750
 
10.9%
6 401
 
5.8%
C 344
 
5.0%
D 344
 
5.0%
F 344
 
5.0%
I 344
 
5.0%
9 125
 
1.8%
3 80
 
1.2%
Other values (4) 265
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5504
80.0%
Uppercase Letter 1376
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2733
49.7%
2 1150
20.9%
1 750
 
13.6%
6 401
 
7.3%
9 125
 
2.3%
3 80
 
1.5%
4 70
 
1.3%
5 68
 
1.2%
7 68
 
1.2%
8 59
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 344
25.0%
D 344
25.0%
F 344
25.0%
I 344
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5504
80.0%
Latin 1376
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2733
49.7%
2 1150
20.9%
1 750
 
13.6%
6 401
 
7.3%
9 125
 
2.3%
3 80
 
1.5%
4 70
 
1.3%
5 68
 
1.2%
7 68
 
1.2%
8 59
 
1.1%
Latin
ValueCountFrequency (%)
C 344
25.0%
D 344
25.0%
F 344
25.0%
I 344
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6880
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2733
39.7%
2 1150
16.7%
1 750
 
10.9%
6 401
 
5.8%
C 344
 
5.0%
D 344
 
5.0%
F 344
 
5.0%
I 344
 
5.0%
9 125
 
1.8%
3 80
 
1.2%
Other values (4) 265
 
3.9%
Distinct328
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum1986-01-22 00:00:00
Maximum2023-09-08 00:00:00
2024-05-11T14:34:19.058582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:34:19.264169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
235 
20191016
107 
20120329
 
1
20120117
 
1

Length

Max length8
Median length4
Mean length5.2674419
Min length4

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row<NA>
2nd row20191016
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 235
68.3%
20191016 107
31.1%
20120329 1
 
0.3%
20120117 1
 
0.3%

Length

2024-05-11T14:34:19.481853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:19.630693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 235
68.3%
20191016 107
31.1%
20120329 1
 
0.3%
20120117 1
 
0.3%
Distinct5
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
3
176 
4
113 
1
49 
2
 
3
5
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row3
4th row2
5th row3

Common Values

ValueCountFrequency (%)
3 176
51.2%
4 113
32.8%
1 49
 
14.2%
2 3
 
0.9%
5 3
 
0.9%

Length

2024-05-11T14:34:19.794707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:19.951498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 176
51.2%
4 113
32.8%
1 49
 
14.2%
2 3
 
0.9%
5 3
 
0.9%

영업상태명
Categorical

Distinct5
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
폐업
176 
취소/말소/만료/정지/중지
113 
영업/정상
49 
휴업
 
3
제외/삭제/전출
 
3

Length

Max length14
Median length2
Mean length6.4215116
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 176
51.2%
취소/말소/만료/정지/중지 113
32.8%
영업/정상 49
 
14.2%
휴업 3
 
0.9%
제외/삭제/전출 3
 
0.9%

Length

2024-05-11T14:34:20.158064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:20.361292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 176
51.2%
취소/말소/만료/정지/중지 113
32.8%
영업/정상 49
 
14.2%
휴업 3
 
0.9%
제외/삭제/전출 3
 
0.9%

상세영업상태코드
Real number (ℝ)

Distinct7
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.718023
Minimum2
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-05-11T14:34:20.485447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median3
Q331
95-th percentile31
Maximum31
Range29
Interquartile range (IQR)28

Descriptive statistics

Standard deviation12.590853
Coefficient of variation (CV)0.91783292
Kurtosis-1.5578156
Mean13.718023
Median Absolute Deviation (MAD)0
Skewness0.53018419
Sum4719
Variance158.52959
MonotonicityNot monotonic
2024-05-11T14:34:20.614665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 176
51.2%
31 112
32.6%
13 48
 
14.0%
2 3
 
0.9%
15 3
 
0.9%
30 1
 
0.3%
14 1
 
0.3%
ValueCountFrequency (%)
2 3
 
0.9%
3 176
51.2%
13 48
 
14.0%
14 1
 
0.3%
15 3
 
0.9%
30 1
 
0.3%
31 112
32.6%
ValueCountFrequency (%)
31 112
32.6%
30 1
 
0.3%
15 3
 
0.9%
14 1
 
0.3%
13 48
 
14.0%
3 176
51.2%
2 3
 
0.9%
Distinct7
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
폐업
176 
등록취소
112 
영업중
48 
휴업
 
3
전출
 
3
Other values (2)
 
2

Length

Max length4
Median length2
Mean length2.7965116
Min length2

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row허가취소
2nd row등록취소
3rd row폐업
4th row휴업
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 176
51.2%
등록취소 112
32.6%
영업중 48
 
14.0%
휴업 3
 
0.9%
전출 3
 
0.9%
허가취소 1
 
0.3%
전입 1
 
0.3%

Length

2024-05-11T14:34:20.825189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:21.020958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 176
51.2%
등록취소 112
32.6%
영업중 48
 
14.0%
휴업 3
 
0.9%
전출 3
 
0.9%
허가취소 1
 
0.3%
전입 1
 
0.3%

폐업일자
Date

MISSING 

Distinct173
Distinct (%)97.7%
Missing167
Missing (%)48.5%
Memory size2.8 KiB
Minimum1995-05-02 00:00:00
Maximum2023-12-29 00:00:00
2024-05-11T14:34:21.238466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:34:21.477067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing341
Missing (%)99.1%
Memory size2.8 KiB
Minimum2009-10-26 00:00:00
Maximum2023-07-14 00:00:00
2024-05-11T14:34:21.699553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:34:21.855289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

휴업종료일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing341
Missing (%)99.1%
Memory size2.8 KiB
Minimum2010-10-25 00:00:00
Maximum2024-06-30 00:00:00
2024-05-11T14:34:21.994281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:34:22.135751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing344
Missing (%)100.0%
Memory size3.2 KiB

전화번호
Text

MISSING 

Distinct251
Distinct (%)98.8%
Missing90
Missing (%)26.2%
Memory size2.8 KiB
2024-05-11T14:34:22.514708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length9.511811
Min length4

Characters and Unicode

Total characters2416
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique248 ?
Unique (%)97.6%

Sample

1st row535-0114
2nd row543-5557
3rd row539-0178
4th row586-2724
5th row579-8858
ValueCountFrequency (%)
02 4
 
1.5%
774-0111 2
 
0.8%
02-3487-2233 2
 
0.8%
3477-1417 2
 
0.8%
1644-9111 1
 
0.4%
587-5399 1
 
0.4%
535-0114 1
 
0.4%
02-583-5225 1
 
0.4%
02-775-8226 1
 
0.4%
02-521-6072 1
 
0.4%
Other values (245) 245
93.9%
2024-05-11T14:34:23.137230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 329
13.6%
0 307
12.7%
5 300
12.4%
2 256
10.6%
7 212
8.8%
8 189
7.8%
1 186
7.7%
3 184
7.6%
4 183
7.6%
6 141
5.8%
Other values (3) 129
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2077
86.0%
Dash Punctuation 329
 
13.6%
Space Separator 9
 
0.4%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 307
14.8%
5 300
14.4%
2 256
12.3%
7 212
10.2%
8 189
9.1%
1 186
9.0%
3 184
8.9%
4 183
8.8%
6 141
6.8%
9 119
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 329
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2416
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 329
13.6%
0 307
12.7%
5 300
12.4%
2 256
10.6%
7 212
8.8%
8 189
7.8%
1 186
7.7%
3 184
7.6%
4 183
7.6%
6 141
5.8%
Other values (3) 129
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2416
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 329
13.6%
0 307
12.7%
5 300
12.4%
2 256
10.6%
7 212
8.8%
8 189
7.8%
1 186
7.7%
3 184
7.6%
4 183
7.6%
6 141
5.8%
Other values (3) 129
 
5.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing344
Missing (%)100.0%
Memory size3.2 KiB

소재지우편번호
Text

MISSING 

Distinct89
Distinct (%)35.7%
Missing95
Missing (%)27.6%
Memory size2.8 KiB
2024-05-11T14:34:23.548853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0040161
Min length6

Characters and Unicode

Total characters1495
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

Unique33 ?
Unique (%)13.3%

Sample

1st row137909
2nd row137905
3rd row137862
4th row137875
5th row137887
ValueCountFrequency (%)
137856 14
 
5.6%
137071 12
 
4.8%
137860 11
 
4.4%
137876 10
 
4.0%
137863 8
 
3.2%
137858 8
 
3.2%
137855 8
 
3.2%
137875 8
 
3.2%
137902 6
 
2.4%
137857 6
 
2.4%
Other values (79) 158
63.5%
2024-05-11T14:34:24.184059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 327
21.9%
3 295
19.7%
1 293
19.6%
8 220
14.7%
0 94
 
6.3%
5 74
 
4.9%
6 74
 
4.9%
9 48
 
3.2%
2 44
 
2.9%
4 25
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1494
99.9%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 327
21.9%
3 295
19.7%
1 293
19.6%
8 220
14.7%
0 94
 
6.3%
5 74
 
5.0%
6 74
 
5.0%
9 48
 
3.2%
2 44
 
2.9%
4 25
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1495
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 327
21.9%
3 295
19.7%
1 293
19.6%
8 220
14.7%
0 94
 
6.3%
5 74
 
4.9%
6 74
 
4.9%
9 48
 
3.2%
2 44
 
2.9%
4 25
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1495
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 327
21.9%
3 295
19.7%
1 293
19.6%
8 220
14.7%
0 94
 
6.3%
5 74
 
4.9%
6 74
 
4.9%
9 48
 
3.2%
2 44
 
2.9%
4 25
 
1.7%
Distinct323
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-05-11T14:34:24.831927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length38
Mean length28.662791
Min length13

Characters and Unicode

Total characters9860
Distinct characters237
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

Unique313 ?
Unique (%)91.0%

Sample

1st row서울특별시 서초구 잠원동 75-19번지 반포쇼핑타운3동1층
2nd row서울특별시 서초구 잠원동 38-26번지 1층
3rd row서울특별시 서초구 서초동 1357-1번지 진수빌딩 2층
4th row서울특별시 서초구 서초동 1574-7번지 은혜빌딩 3층
5th row서울특별시 서초구 양재동 8-3번지 영동단위농협 2층 ]동
ValueCountFrequency (%)
서울특별시 343
19.2%
서초구 342
19.1%
서초동 193
 
10.8%
방배동 40
 
2.2%
양재동 38
 
2.1%
잠원동 36
 
2.0%
반포동 32
 
1.8%
3층 14
 
0.8%
2층 12
 
0.7%
1층 9
 
0.5%
Other values (601) 728
40.7%
2024-05-11T14:34:25.458029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1688
17.1%
906
 
9.2%
552
 
5.6%
1 519
 
5.3%
367
 
3.7%
349
 
3.5%
346
 
3.5%
344
 
3.5%
344
 
3.5%
343
 
3.5%
Other values (227) 4102
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5724
58.1%
Decimal Number 2083
 
21.1%
Space Separator 1688
 
17.1%
Dash Punctuation 310
 
3.1%
Uppercase Letter 21
 
0.2%
Close Punctuation 12
 
0.1%
Open Punctuation 11
 
0.1%
Other Punctuation 8
 
0.1%
Lowercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
906
15.8%
552
 
9.6%
367
 
6.4%
349
 
6.1%
346
 
6.0%
344
 
6.0%
344
 
6.0%
343
 
6.0%
274
 
4.8%
253
 
4.4%
Other values (198) 1646
28.8%
Decimal Number
ValueCountFrequency (%)
1 519
24.9%
3 296
14.2%
2 226
10.8%
0 198
 
9.5%
5 180
 
8.6%
4 156
 
7.5%
8 146
 
7.0%
7 138
 
6.6%
6 123
 
5.9%
9 101
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
B 7
33.3%
S 3
14.3%
A 2
 
9.5%
L 2
 
9.5%
E 2
 
9.5%
H 1
 
4.8%
K 1
 
4.8%
C 1
 
4.8%
G 1
 
4.8%
T 1
 
4.8%
Close Punctuation
ValueCountFrequency (%)
) 11
91.7%
] 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 7
87.5%
? 1
 
12.5%
Space Separator
ValueCountFrequency (%)
1688
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 310
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5724
58.1%
Common 4113
41.7%
Latin 23
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
906
15.8%
552
 
9.6%
367
 
6.4%
349
 
6.1%
346
 
6.0%
344
 
6.0%
344
 
6.0%
343
 
6.0%
274
 
4.8%
253
 
4.4%
Other values (198) 1646
28.8%
Common
ValueCountFrequency (%)
1688
41.0%
1 519
 
12.6%
- 310
 
7.5%
3 296
 
7.2%
2 226
 
5.5%
0 198
 
4.8%
5 180
 
4.4%
4 156
 
3.8%
8 146
 
3.5%
7 138
 
3.4%
Other values (8) 256
 
6.2%
Latin
ValueCountFrequency (%)
B 7
30.4%
S 3
13.0%
A 2
 
8.7%
L 2
 
8.7%
b 2
 
8.7%
E 2
 
8.7%
H 1
 
4.3%
K 1
 
4.3%
C 1
 
4.3%
G 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5724
58.1%
ASCII 4136
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1688
40.8%
1 519
 
12.5%
- 310
 
7.5%
3 296
 
7.2%
2 226
 
5.5%
0 198
 
4.8%
5 180
 
4.4%
4 156
 
3.8%
8 146
 
3.5%
7 138
 
3.3%
Other values (19) 279
 
6.7%
Hangul
ValueCountFrequency (%)
906
15.8%
552
 
9.6%
367
 
6.4%
349
 
6.1%
346
 
6.0%
344
 
6.0%
344
 
6.0%
343
 
6.0%
274
 
4.8%
253
 
4.4%
Other values (198) 1646
28.8%

도로명주소
Text

MISSING 

Distinct321
Distinct (%)99.1%
Missing20
Missing (%)5.8%
Memory size2.8 KiB
2024-05-11T14:34:25.909838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length40
Mean length35.540123
Min length21

Characters and Unicode

Total characters11515
Distinct characters267
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

Unique318 ?
Unique (%)98.1%

Sample

1st row서울특별시 서초구 신반포로 177 (잠원동,반포쇼핑타운3동1층)
2nd row서울특별시 서초구 신반포로 333 (잠원동,1층)
3rd row서울특별시 서초구 남부순환로347길 92 (서초동,진수빌딩 2층)
4th row서울특별시 서초구 반포대로28길 93 (서초동,은혜빌딩 3층)
5th row서울특별시 서초구 남부순환로356길 19, ]동 (양재동,영동단위농협 2층)
ValueCountFrequency (%)
서울특별시 323
 
15.7%
서초구 322
 
15.7%
서초동 94
 
4.6%
강남대로 44
 
2.1%
2층 26
 
1.3%
방배동 24
 
1.2%
양재동 22
 
1.1%
신반포로 21
 
1.0%
4층 20
 
1.0%
3층 19
 
0.9%
Other values (687) 1136
55.4%
2024-05-11T14:34:26.544938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1808
 
15.7%
937
 
8.1%
587
 
5.1%
, 416
 
3.6%
1 368
 
3.2%
361
 
3.1%
) 331
 
2.9%
( 331
 
2.9%
329
 
2.9%
328
 
2.8%
Other values (257) 5719
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6672
57.9%
Decimal Number 1872
 
16.3%
Space Separator 1808
 
15.7%
Other Punctuation 417
 
3.6%
Close Punctuation 332
 
2.9%
Open Punctuation 331
 
2.9%
Dash Punctuation 44
 
0.4%
Uppercase Letter 34
 
0.3%
Lowercase Letter 3
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
937
 
14.0%
587
 
8.8%
361
 
5.4%
329
 
4.9%
328
 
4.9%
325
 
4.9%
324
 
4.9%
324
 
4.9%
323
 
4.8%
184
 
2.8%
Other values (227) 2650
39.7%
Uppercase Letter
ValueCountFrequency (%)
B 16
47.1%
A 5
 
14.7%
S 3
 
8.8%
L 2
 
5.9%
E 2
 
5.9%
H 1
 
2.9%
M 1
 
2.9%
K 1
 
2.9%
C 1
 
2.9%
G 1
 
2.9%
Decimal Number
ValueCountFrequency (%)
1 368
19.7%
3 257
13.7%
0 252
13.5%
2 245
13.1%
4 179
9.6%
5 162
8.7%
7 113
 
6.0%
9 105
 
5.6%
6 100
 
5.3%
8 91
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 416
99.8%
? 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 331
99.7%
] 1
 
0.3%
Space Separator
ValueCountFrequency (%)
1808
100.0%
Open Punctuation
ValueCountFrequency (%)
( 331
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6672
57.9%
Common 4806
41.7%
Latin 37
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
937
 
14.0%
587
 
8.8%
361
 
5.4%
329
 
4.9%
328
 
4.9%
325
 
4.9%
324
 
4.9%
324
 
4.9%
323
 
4.8%
184
 
2.8%
Other values (227) 2650
39.7%
Common
ValueCountFrequency (%)
1808
37.6%
, 416
 
8.7%
1 368
 
7.7%
) 331
 
6.9%
( 331
 
6.9%
3 257
 
5.3%
0 252
 
5.2%
2 245
 
5.1%
4 179
 
3.7%
5 162
 
3.4%
Other values (8) 457
 
9.5%
Latin
ValueCountFrequency (%)
B 16
43.2%
A 5
 
13.5%
S 3
 
8.1%
b 3
 
8.1%
L 2
 
5.4%
E 2
 
5.4%
H 1
 
2.7%
M 1
 
2.7%
K 1
 
2.7%
C 1
 
2.7%
Other values (2) 2
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6672
57.9%
ASCII 4843
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1808
37.3%
, 416
 
8.6%
1 368
 
7.6%
) 331
 
6.8%
( 331
 
6.8%
3 257
 
5.3%
0 252
 
5.2%
2 245
 
5.1%
4 179
 
3.7%
5 162
 
3.3%
Other values (20) 494
 
10.2%
Hangul
ValueCountFrequency (%)
937
 
14.0%
587
 
8.8%
361
 
5.4%
329
 
4.9%
328
 
4.9%
325
 
4.9%
324
 
4.9%
324
 
4.9%
323
 
4.8%
184
 
2.8%
Other values (227) 2650
39.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct97
Distinct (%)61.4%
Missing186
Missing (%)54.1%
Infinite0
Infinite (%)0.0%
Mean20706.81
Minimum6502
Maximum137902
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-05-11T14:34:26.729045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6502
5-th percentile6523.55
Q16597.75
median6648
Q36734.5
95-th percentile137080.85
Maximum137902
Range131400
Interquartile range (IQR)136.75

Descriptive statistics

Standard deviation40633.938
Coefficient of variation (CV)1.9623466
Kurtosis4.5968946
Mean20706.81
Median Absolute Deviation (MAD)74
Skewness2.5570928
Sum3271676
Variance1.6511169 × 109
MonotonicityNot monotonic
2024-05-11T14:34:26.951081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6626 7
 
2.0%
137071 6
 
1.7%
6627 5
 
1.5%
6543 4
 
1.2%
6628 4
 
1.2%
6621 4
 
1.2%
6722 4
 
1.2%
6653 3
 
0.9%
6654 3
 
0.9%
6720 3
 
0.9%
Other values (87) 115
33.4%
(Missing) 186
54.1%
ValueCountFrequency (%)
6502 1
0.3%
6503 1
0.3%
6506 1
0.3%
6509 1
0.3%
6512 2
0.6%
6519 1
0.3%
6521 1
0.3%
6524 2
0.6%
6526 2
0.6%
6527 2
0.6%
ValueCountFrequency (%)
137902 1
 
0.3%
137882 1
 
0.3%
137873 1
 
0.3%
137868 1
 
0.3%
137867 1
 
0.3%
137858 1
 
0.3%
137131 2
 
0.6%
137072 1
 
0.3%
137071 6
1.7%
137061 1
 
0.3%
Distinct339
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-05-11T14:34:27.282676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length16
Mean length8.5872093
Min length3

Characters and Unicode

Total characters2954
Distinct characters342
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique334 ?
Unique (%)97.1%

Sample

1st row한남항공(주)
2nd row(주)아이티항공여행사
3rd row(주)그린놀이마당
4th row(주)종합여행유유
5th row(주)제이티월드
ValueCountFrequency (%)
주식회사 57
 
13.6%
주)랭스투어 2
 
0.5%
한마음여행써비스(주 2
 
0.5%
주)플러스뱅크 2
 
0.5%
주)현대스타투어 2
 
0.5%
주)유티에스티앤씨 2
 
0.5%
2
 
0.5%
코리아바이크투어 1
 
0.2%
주)우리투어스쿨 1
 
0.2%
주)씨앤런 1
 
0.2%
Other values (346) 346
82.8%
2024-05-11T14:34:27.804451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
296
 
10.0%
) 240
 
8.1%
( 237
 
8.0%
109
 
3.7%
92
 
3.1%
92
 
3.1%
86
 
2.9%
81
 
2.7%
74
 
2.5%
64
 
2.2%
Other values (332) 1583
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2353
79.7%
Close Punctuation 240
 
8.1%
Open Punctuation 237
 
8.0%
Space Separator 74
 
2.5%
Uppercase Letter 26
 
0.9%
Lowercase Letter 17
 
0.6%
Decimal Number 4
 
0.1%
Dash Punctuation 2
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
296
 
12.6%
109
 
4.6%
92
 
3.9%
92
 
3.9%
86
 
3.7%
81
 
3.4%
64
 
2.7%
64
 
2.7%
58
 
2.5%
57
 
2.4%
Other values (297) 1354
57.5%
Uppercase Letter
ValueCountFrequency (%)
I 4
15.4%
T 4
15.4%
M 2
 
7.7%
R 2
 
7.7%
O 2
 
7.7%
N 2
 
7.7%
P 1
 
3.8%
U 1
 
3.8%
E 1
 
3.8%
S 1
 
3.8%
Other values (6) 6
23.1%
Lowercase Letter
ValueCountFrequency (%)
r 3
17.6%
l 2
11.8%
o 2
11.8%
u 2
11.8%
e 2
11.8%
s 1
 
5.9%
t 1
 
5.9%
a 1
 
5.9%
n 1
 
5.9%
c 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
3 2
50.0%
6 1
25.0%
5 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 240
100.0%
Open Punctuation
ValueCountFrequency (%)
( 237
100.0%
Space Separator
ValueCountFrequency (%)
74
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2353
79.7%
Common 558
 
18.9%
Latin 43
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
296
 
12.6%
109
 
4.6%
92
 
3.9%
92
 
3.9%
86
 
3.7%
81
 
3.4%
64
 
2.7%
64
 
2.7%
58
 
2.5%
57
 
2.4%
Other values (297) 1354
57.5%
Latin
ValueCountFrequency (%)
I 4
 
9.3%
T 4
 
9.3%
r 3
 
7.0%
l 2
 
4.7%
o 2
 
4.7%
u 2
 
4.7%
M 2
 
4.7%
R 2
 
4.7%
e 2
 
4.7%
O 2
 
4.7%
Other values (17) 18
41.9%
Common
ValueCountFrequency (%)
) 240
43.0%
( 237
42.5%
74
 
13.3%
- 2
 
0.4%
3 2
 
0.4%
. 1
 
0.2%
6 1
 
0.2%
5 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2353
79.7%
ASCII 601
 
20.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
296
 
12.6%
109
 
4.6%
92
 
3.9%
92
 
3.9%
86
 
3.7%
81
 
3.4%
64
 
2.7%
64
 
2.7%
58
 
2.5%
57
 
2.4%
Other values (297) 1354
57.5%
ASCII
ValueCountFrequency (%)
) 240
39.9%
( 237
39.4%
74
 
12.3%
I 4
 
0.7%
T 4
 
0.7%
r 3
 
0.5%
l 2
 
0.3%
o 2
 
0.3%
u 2
 
0.3%
- 2
 
0.3%
Other values (25) 31
 
5.2%
Distinct308
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum2003-04-18 11:31:33
Maximum2024-05-07 18:57:42
2024-05-11T14:34:27.990744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:34:28.167839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
U
210 
I
134 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 210
61.0%
I 134
39.0%

Length

2024-05-11T14:34:28.357788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:28.530223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 210
61.0%
i 134
39.0%
Distinct101
Distinct (%)29.4%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T14:34:28.706792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:34:28.881470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing344
Missing (%)100.0%
Memory size3.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct263
Distinct (%)78.3%
Missing8
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean201582.2
Minimum198391.01
Maximum210367.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-05-11T14:34:29.057332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198391.01
5-th percentile198985.46
Q1200998.41
median201643.32
Q3202460.75
95-th percentile203608.2
Maximum210367.67
Range11976.668
Interquartile range (IQR)1462.3426

Descriptive statistics

Standard deviation1373.8096
Coefficient of variation (CV)0.0068151338
Kurtosis4.5177846
Mean201582.2
Median Absolute Deviation (MAD)786.26389
Skewness0.35386734
Sum67731618
Variance1887352.9
MonotonicityNot monotonic
2024-05-11T14:34:29.250678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202623.297219041 8
 
2.3%
202437.690112682 6
 
1.7%
202374.665 5
 
1.5%
201501.672660443 5
 
1.5%
201848.823344626 4
 
1.2%
201680.914515104 4
 
1.2%
202559.861737709 3
 
0.9%
200041.705205607 3
 
0.9%
203854.867445133 3
 
0.9%
202103.94839223 3
 
0.9%
Other values (253) 292
84.9%
(Missing) 8
 
2.3%
ValueCountFrequency (%)
198391.007333333 1
0.3%
198409.554742612 1
0.3%
198481.721056607 1
0.3%
198487.958709466 1
0.3%
198504.826881916 1
0.3%
198511.665525642 1
0.3%
198512.198853426 1
0.3%
198519.520727263 1
0.3%
198565.330597059 1
0.3%
198620.336800582 1
0.3%
ValueCountFrequency (%)
210367.674982045 1
 
0.3%
205123.379851919 1
 
0.3%
204276.538325934 1
 
0.3%
203942.265086728 1
 
0.3%
203921.49048584 1
 
0.3%
203900.337618015 1
 
0.3%
203891.041008756 3
0.9%
203854.867445133 3
0.9%
203789.633523676 1
 
0.3%
203678.253298789 1
 
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct263
Distinct (%)78.3%
Missing8
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean443253.91
Minimum417086.15
Maximum446565.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-05-11T14:34:29.457198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum417086.15
5-th percentile441154.68
Q1442585.48
median443163.27
Q3444119.51
95-th percentile445617.65
Maximum446565.03
Range29478.875
Interquartile range (IQR)1534.0242

Descriptive statistics

Standard deviation1908.6582
Coefficient of variation (CV)0.0043060156
Kurtosis104.9537
Mean443253.91
Median Absolute Deviation (MAD)657.69598
Skewness-7.6458708
Sum1.4893331 × 108
Variance3642976.3
MonotonicityNot monotonic
2024-05-11T14:34:29.688663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
443154.964346798 8
 
2.3%
443533.590122737 6
 
1.7%
443842.38 5
 
1.5%
442505.573142545 5
 
1.5%
442614.350799967 4
 
1.2%
444584.589362916 4
 
1.2%
443317.21602255 3
 
0.9%
444841.406534302 3
 
0.9%
441017.928150207 3
 
0.9%
444302.879922772 3
 
0.9%
Other values (253) 292
84.9%
(Missing) 8
 
2.3%
ValueCountFrequency (%)
417086.15355621 1
 
0.3%
439420.327710551 1
 
0.3%
440136.781183797 2
0.6%
440256.501465873 1
 
0.3%
440387.38641804 1
 
0.3%
440496.375873666 1
 
0.3%
440662.57489156 2
0.6%
440834.596164843 1
 
0.3%
440854.381667548 1
 
0.3%
441017.928150207 3
0.9%
ValueCountFrequency (%)
446565.028672992 1
 
0.3%
446180.260965954 2
0.6%
446150.216745339 3
0.9%
446135.437531494 1
 
0.3%
446041.940329826 1
 
0.3%
445925.713327332 1
 
0.3%
445897.49249113 1
 
0.3%
445889.401388054 1
 
0.3%
445792.588755803 1
 
0.3%
445737.586115236 1
 
0.3%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
국내여행업
305 
<NA>
39 

Length

Max length5
Median length5
Mean length4.8866279
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내여행업 305
88.7%
<NA> 39
 
11.3%

Length

2024-05-11T14:34:29.903284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:30.056606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내여행업 305
88.7%
na 39
 
11.3%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
관광사업
180 
<NA>
164 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광사업 180
52.3%
<NA> 164
47.7%

Length

2024-05-11T14:34:30.226034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:30.383698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광사업 180
52.3%
na 164
47.7%

지역구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
309 
근린상업지역
 
26
일반주거지역
 
5
일반상업지역
 
2
상업지역
 
1

Length

Max length6
Median length4
Mean length4.1918605
Min length4

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 309
89.8%
근린상업지역 26
 
7.6%
일반주거지역 5
 
1.5%
일반상업지역 2
 
0.6%
상업지역 1
 
0.3%
주거지역 1
 
0.3%

Length

2024-05-11T14:34:30.543051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:30.746811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 309
89.8%
근린상업지역 26
 
7.6%
일반주거지역 5
 
1.5%
일반상업지역 2
 
0.6%
상업지역 1
 
0.3%
주거지역 1
 
0.3%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)24.1%
Missing290
Missing (%)84.3%
Infinite0
Infinite (%)0.0%
Mean4.4259259
Minimum0
Maximum30
Zeros26
Zeros (%)7.6%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-05-11T14:34:30.940125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.5
Q36.75
95-th percentile16.05
Maximum30
Range30
Interquartile range (IQR)6.75

Descriptive statistics

Standard deviation6.2119843
Coefficient of variation (CV)1.4035446
Kurtosis5.8440166
Mean4.4259259
Median Absolute Deviation (MAD)3.5
Skewness2.1738614
Sum239
Variance38.588749
MonotonicityNot monotonic
2024-05-11T14:34:31.125386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 26
 
7.6%
4 5
 
1.5%
5 5
 
1.5%
10 4
 
1.2%
7 3
 
0.9%
6 3
 
0.9%
8 2
 
0.6%
3 1
 
0.3%
9 1
 
0.3%
30 1
 
0.3%
Other values (3) 3
 
0.9%
(Missing) 290
84.3%
ValueCountFrequency (%)
0 26
7.6%
3 1
 
0.3%
4 5
 
1.5%
5 5
 
1.5%
6 3
 
0.9%
7 3
 
0.9%
8 2
 
0.6%
9 1
 
0.3%
10 4
 
1.2%
15 1
 
0.3%
ValueCountFrequency (%)
30 1
 
0.3%
24 1
 
0.3%
18 1
 
0.3%
15 1
 
0.3%
10 4
1.2%
9 1
 
0.3%
8 2
 
0.6%
7 3
0.9%
6 3
0.9%
5 5
1.5%

주변환경명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
317 
기타
 
26
아파트지역
 
1

Length

Max length5
Median length4
Mean length3.8517442
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 317
92.2%
기타 26
 
7.6%
아파트지역 1
 
0.3%

Length

2024-05-11T14:34:31.342610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:31.524475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 317
92.2%
기타 26
 
7.6%
아파트지역 1
 
0.3%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing344
Missing (%)100.0%
Memory size3.2 KiB

보험기관명
Categorical

Distinct36
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
204 
서울보증보험(2천만원)
27 
서울보증보험
 
15
서울시관광협회
 
14
서울보증보험(2000만원)
 
10
Other values (31)
74 

Length

Max length19
Median length4
Mean length6.8895349
Min length4

Unique

Unique16 ?
Unique (%)4.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 204
59.3%
서울보증보험(2천만원) 27
 
7.8%
서울보증보험 15
 
4.4%
서울시관광협회 14
 
4.1%
서울보증보험(2000만원) 10
 
2.9%
서울보증보험주식회사 8
 
2.3%
여행공제회 6
 
1.7%
여행공제회(2천만원) 5
 
1.5%
서울특별시관광협회 5
 
1.5%
서울보증보험(3천만원) 5
 
1.5%
Other values (26) 45
 
13.1%

Length

2024-05-11T14:34:31.718654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 204
59.0%
서울보증보험(2천만원 27
 
7.8%
서울보증보험 15
 
4.3%
서울시관광협회 14
 
4.0%
서울보증보험(2000만원 10
 
2.9%
서울보증보험주식회사 8
 
2.3%
여행공제회 8
 
2.3%
여행공제회(2천만원 5
 
1.4%
서울특별시관광협회 5
 
1.4%
서울보증보험(3천만원 5
 
1.4%
Other values (25) 45
 
13.0%

건물용도명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
303 
근린생활시설
32 
사무실
 
9

Length

Max length6
Median length4
Mean length4.1598837
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 303
88.1%
근린생활시설 32
 
9.3%
사무실 9
 
2.6%

Length

2024-05-11T14:34:31.928583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:32.149352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 303
88.1%
근린생활시설 32
 
9.3%
사무실 9
 
2.6%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)23.2%
Missing288
Missing (%)83.7%
Infinite0
Infinite (%)0.0%
Mean2.6964286
Minimum0
Maximum18
Zeros25
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-05-11T14:34:32.303515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile9.25
Maximum18
Range18
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.726659
Coefficient of variation (CV)1.3820722
Kurtosis5.7563231
Mean2.6964286
Median Absolute Deviation (MAD)1
Skewness2.1495116
Sum151
Variance13.887987
MonotonicityNot monotonic
2024-05-11T14:34:32.471969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 25
 
7.3%
4 10
 
2.9%
3 5
 
1.5%
1 4
 
1.2%
5 3
 
0.9%
2 2
 
0.6%
7 1
 
0.3%
10 1
 
0.3%
8 1
 
0.3%
6 1
 
0.3%
Other values (3) 3
 
0.9%
(Missing) 288
83.7%
ValueCountFrequency (%)
0 25
7.3%
1 4
 
1.2%
2 2
 
0.6%
3 5
 
1.5%
4 10
 
2.9%
5 3
 
0.9%
6 1
 
0.3%
7 1
 
0.3%
8 1
 
0.3%
9 1
 
0.3%
ValueCountFrequency (%)
18 1
 
0.3%
15 1
 
0.3%
10 1
 
0.3%
9 1
 
0.3%
8 1
 
0.3%
7 1
 
0.3%
6 1
 
0.3%
5 3
 
0.9%
4 10
2.9%
3 5
1.5%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
296 
0
43 
1
 
4
7
 
1

Length

Max length4
Median length4
Mean length3.5813953
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> 296
86.0%
0 43
 
12.5%
1 4
 
1.2%
7 1
 
0.3%

Length

2024-05-11T14:34:32.694341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:32.894434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 296
86.0%
0 43
 
12.5%
1 4
 
1.2%
7 1
 
0.3%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
337 
0
 
7

Length

Max length4
Median length4
Mean length3.9389535
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> 337
98.0%
0 7
 
2.0%

Length

2024-05-11T14:34:33.120786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:33.310783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 337
98.0%
0 7
 
2.0%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
337 
0
 
7

Length

Max length4
Median length4
Mean length3.9389535
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> 337
98.0%
0 7
 
2.0%

Length

2024-05-11T14:34:33.506901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:33.704241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 337
98.0%
0 7
 
2.0%

영문상호명
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing341
Missing (%)99.1%
Memory size2.8 KiB
2024-05-11T14:34:33.910537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length13
Mean length17.666667
Min length13

Characters and Unicode

Total characters53
Distinct characters28
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

Unique3 ?
Unique (%)100.0%

Sample

1st rowPIT INTERNATIONAL Co., Ltd.
2nd rowGUEGOTGAMYEON
3rd rowHigh Win Tour
ValueCountFrequency (%)
pit 1
12.5%
international 1
12.5%
co 1
12.5%
ltd 1
12.5%
guegotgamyeon 1
12.5%
high 1
12.5%
win 1
12.5%
tour 1
12.5%
2024-05-11T14:34:34.368187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
T 5
 
9.4%
5
 
9.4%
N 4
 
7.5%
E 3
 
5.7%
G 3
 
5.7%
A 3
 
5.7%
O 3
 
5.7%
I 3
 
5.7%
L 2
 
3.8%
o 2
 
3.8%
Other values (18) 20
37.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 34
64.2%
Lowercase Letter 11
 
20.8%
Space Separator 5
 
9.4%
Other Punctuation 3
 
5.7%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T 5
14.7%
N 4
11.8%
E 3
8.8%
G 3
8.8%
A 3
8.8%
O 3
8.8%
I 3
8.8%
L 2
 
5.9%
W 1
 
2.9%
H 1
 
2.9%
Other values (6) 6
17.6%
Lowercase Letter
ValueCountFrequency (%)
o 2
18.2%
i 2
18.2%
n 1
9.1%
h 1
9.1%
u 1
9.1%
g 1
9.1%
t 1
9.1%
d 1
9.1%
r 1
9.1%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 45
84.9%
Common 8
 
15.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
T 5
 
11.1%
N 4
 
8.9%
E 3
 
6.7%
G 3
 
6.7%
A 3
 
6.7%
O 3
 
6.7%
I 3
 
6.7%
L 2
 
4.4%
o 2
 
4.4%
i 2
 
4.4%
Other values (15) 15
33.3%
Common
ValueCountFrequency (%)
5
62.5%
. 2
 
25.0%
, 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 53
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
T 5
 
9.4%
5
 
9.4%
N 4
 
7.5%
E 3
 
5.7%
G 3
 
5.7%
A 3
 
5.7%
O 3
 
5.7%
I 3
 
5.7%
L 2
 
3.8%
o 2
 
3.8%
Other values (18) 20
37.7%

영문상호주소
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing342
Missing (%)99.4%
Memory size2.8 KiB
2024-05-11T14:34:34.587840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters48
Distinct characters18
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 (%)100.0%

Sample

1st rowDomestic Travel Business
2nd rowDomestic travel business
ValueCountFrequency (%)
domestic 2
33.3%
travel 2
33.3%
business 2
33.3%
2024-05-11T14:34:35.350238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
s 8
16.7%
e 6
12.5%
i 4
 
8.3%
4
 
8.3%
t 3
 
6.2%
D 2
 
4.2%
u 2
 
4.2%
m 2
 
4.2%
c 2
 
4.2%
o 2
 
4.2%
Other values (8) 13
27.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 40
83.3%
Space Separator 4
 
8.3%
Uppercase Letter 4
 
8.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 8
20.0%
e 6
15.0%
i 4
10.0%
t 3
 
7.5%
u 2
 
5.0%
m 2
 
5.0%
c 2
 
5.0%
o 2
 
5.0%
r 2
 
5.0%
a 2
 
5.0%
Other values (4) 7
17.5%
Uppercase Letter
ValueCountFrequency (%)
D 2
50.0%
T 1
25.0%
B 1
25.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 44
91.7%
Common 4
 
8.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 8
18.2%
e 6
13.6%
i 4
 
9.1%
t 3
 
6.8%
D 2
 
4.5%
u 2
 
4.5%
m 2
 
4.5%
c 2
 
4.5%
o 2
 
4.5%
r 2
 
4.5%
Other values (7) 11
25.0%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 48
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 8
16.7%
e 6
12.5%
i 4
 
8.3%
4
 
8.3%
t 3
 
6.2%
D 2
 
4.2%
u 2
 
4.2%
m 2
 
4.2%
c 2
 
4.2%
o 2
 
4.2%
Other values (8) 13
27.1%

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
337 
0
 
7

Length

Max length4
Median length4
Mean length3.9389535
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> 337
98.0%
0 7
 
2.0%

Length

2024-05-11T14:34:35.592256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:35.771124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 337
98.0%
0 7
 
2.0%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
337 
0
 
7

Length

Max length4
Median length4
Mean length3.9389535
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> 337
98.0%
0 7
 
2.0%

Length

2024-05-11T14:34:35.982361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:36.199346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 337
98.0%
0 7
 
2.0%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing344
Missing (%)100.0%
Memory size3.2 KiB

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
337 
0
 
7

Length

Max length4
Median length4
Mean length3.9389535
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> 337
98.0%
0 7
 
2.0%

Length

2024-05-11T14:34:36.394898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:36.577711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 337
98.0%
0 7
 
2.0%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
337 
0
 
7

Length

Max length4
Median length4
Mean length3.9389535
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> 337
98.0%
0 7
 
2.0%

Length

2024-05-11T14:34:36.773931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:36.945542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 337
98.0%
0 7
 
2.0%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing344
Missing (%)100.0%
Memory size3.2 KiB

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
337 
0
 
7

Length

Max length4
Median length4
Mean length3.9389535
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> 337
98.0%
0 7
 
2.0%

Length

2024-05-11T14:34:37.134497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:37.313954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 337
98.0%
0 7
 
2.0%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct38
Distinct (%)41.3%
Missing252
Missing (%)73.3%
Infinite0
Infinite (%)0.0%
Mean119.09772
Minimum0
Maximum6184
Zeros53
Zeros (%)15.4%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-05-11T14:34:37.496498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q376.175
95-th percentile280.41
Maximum6184
Range6184
Interquartile range (IQR)76.175

Descriptive statistics

Standard deviation646.41272
Coefficient of variation (CV)5.4275828
Kurtosis87.862384
Mean119.09772
Median Absolute Deviation (MAD)0
Skewness9.2784189
Sum10956.99
Variance417849.4
MonotonicityNot monotonic
2024-05-11T14:34:37.723432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.0 53
 
15.4%
82.5 2
 
0.6%
49.5 2
 
0.6%
71.0 1
 
0.3%
6184.0 1
 
0.3%
33.0 1
 
0.3%
21.1 1
 
0.3%
153.5 1
 
0.3%
32.64 1
 
0.3%
26.77 1
 
0.3%
Other values (28) 28
 
8.1%
(Missing) 252
73.3%
ValueCountFrequency (%)
0.0 53
15.4%
8.72 1
 
0.3%
19.8 1
 
0.3%
21.1 1
 
0.3%
24.0 1
 
0.3%
25.0 1
 
0.3%
26.77 1
 
0.3%
30.0 1
 
0.3%
32.64 1
 
0.3%
33.0 1
 
0.3%
ValueCountFrequency (%)
6184.0 1
0.3%
538.86 1
0.3%
360.0 1
0.3%
359.7 1
0.3%
316.6 1
0.3%
250.8 1
0.3%
206.95 1
0.3%
191.4 1
0.3%
190.04 1
0.3%
184.8 1
0.3%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing344
Missing (%)100.0%
Memory size3.2 KiB

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
337 
0
 
7

Length

Max length4
Median length4
Mean length3.9389535
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> 337
98.0%
0 7
 
2.0%

Length

2024-05-11T14:34:38.118246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:38.401118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 337
98.0%
0 7
 
2.0%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing344
Missing (%)100.0%
Memory size3.2 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing344
Missing (%)100.0%
Memory size3.2 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing344
Missing (%)100.0%
Memory size3.2 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing344
Missing (%)100.0%
Memory size3.2 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing344
Missing (%)100.0%
Memory size3.2 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing344
Missing (%)100.0%
Memory size3.2 KiB

자본금
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)27.8%
Missing200
Missing (%)58.1%
Infinite0
Infinite (%)0.0%
Mean1.1894202 × 108
Minimum0
Maximum1.8 × 109
Zeros2
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-05-11T14:34:38.618332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15166050
Q147210610
median90000000
Q31.5 × 108
95-th percentile2.37 × 108
Maximum1.8 × 109
Range1.8 × 109
Interquartile range (IQR)1.0278939 × 108

Descriptive statistics

Standard deviation1.8299701 × 108
Coefficient of variation (CV)1.5385396
Kurtosis56.087589
Mean1.1894202 × 108
Median Absolute Deviation (MAD)59500000
Skewness6.8163358
Sum1.7127651 × 1010
Variance3.3487905 × 1016
MonotonicityNot monotonic
2024-05-11T14:34:38.963488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
150000000 28
 
8.1%
50000000 20
 
5.8%
100000000 16
 
4.7%
30000000 15
 
4.4%
90000000 13
 
3.8%
200000000 7
 
2.0%
15000000 5
 
1.5%
45000000 4
 
1.2%
60000000 2
 
0.6%
40000000 2
 
0.6%
Other values (30) 32
 
9.3%
(Missing) 200
58.1%
ValueCountFrequency (%)
0 2
 
0.6%
10000000 1
 
0.3%
15000000 5
 
1.5%
16107000 1
 
0.3%
19375180 1
 
0.3%
20000000 1
 
0.3%
30000000 15
4.4%
31000000 1
 
0.3%
33689714 1
 
0.3%
40000000 2
 
0.6%
ValueCountFrequency (%)
1800000000 1
 
0.3%
1134978915 1
 
0.3%
529600000 1
 
0.3%
367776002 1
 
0.3%
350000000 2
 
0.6%
341229249 1
 
0.3%
240000000 1
 
0.3%
220000000 1
 
0.3%
200000000 7
2.0%
177000000 1
 
0.3%

보험시작일자
Real number (ℝ)

MISSING 

Distinct140
Distinct (%)98.6%
Missing202
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean20142371
Minimum20060128
Maximum20210903
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-05-11T14:34:39.271079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20060128
5-th percentile20070417
Q120090444
median20150312
Q320190316
95-th percentile20210318
Maximum20210903
Range150775
Interquartile range (IQR)99871.5

Descriptive statistics

Standard deviation49801.655
Coefficient of variation (CV)0.0024724822
Kurtosis-1.3853936
Mean20142371
Median Absolute Deviation (MAD)40565.5
Skewness-0.170131
Sum2.8602167 × 109
Variance2.4802048 × 109
MonotonicityNot monotonic
2024-05-11T14:34:39.569213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20100523 2
 
0.6%
20210217 2
 
0.6%
20180913 1
 
0.3%
20170120 1
 
0.3%
20171129 1
 
0.3%
20090113 1
 
0.3%
20080415 1
 
0.3%
20090526 1
 
0.3%
20151208 1
 
0.3%
20080325 1
 
0.3%
Other values (130) 130
37.8%
(Missing) 202
58.7%
ValueCountFrequency (%)
20060128 1
0.3%
20060328 1
0.3%
20060514 1
0.3%
20060728 1
0.3%
20060904 1
0.3%
20070106 1
0.3%
20070111 1
0.3%
20070417 1
0.3%
20070423 1
0.3%
20070630 1
0.3%
ValueCountFrequency (%)
20210903 1
0.3%
20210729 1
0.3%
20210630 1
0.3%
20210617 1
0.3%
20210528 1
0.3%
20210402 1
0.3%
20210331 1
0.3%
20210318 1
0.3%
20210312 1
0.3%
20210311 1
0.3%

보험종료일자
Real number (ℝ)

MISSING 

Distinct141
Distinct (%)99.3%
Missing202
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean20168288
Minimum20070127
Maximum22290221
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-05-11T14:34:39.860814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070127
5-th percentile20080610
Q120100518
median20160422
Q320200484
95-th percentile20220329
Maximum22290221
Range2220094
Interquartile range (IQR)99965.75

Descriptive statistics

Standard deviation186005.5
Coefficient of variation (CV)0.0092226717
Kurtosis122.28642
Mean20168288
Median Absolute Deviation (MAD)40558.5
Skewness10.658559
Sum2.8638969 × 109
Variance3.4598046 × 1010
MonotonicityNot monotonic
2024-05-11T14:34:40.113453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110522 2
 
0.6%
20161207 1
 
0.3%
20160423 1
 
0.3%
20170503 1
 
0.3%
20160413 1
 
0.3%
20171010 1
 
0.3%
20151004 1
 
0.3%
20090324 1
 
0.3%
20100526 1
 
0.3%
20090414 1
 
0.3%
Other values (131) 131
38.1%
(Missing) 202
58.7%
ValueCountFrequency (%)
20070127 1
0.3%
20070327 1
0.3%
20070727 1
0.3%
20080105 1
0.3%
20080110 1
0.3%
20080417 1
0.3%
20080423 1
0.3%
20080609 1
0.3%
20080630 1
0.3%
20080722 1
0.3%
ValueCountFrequency (%)
22290221 1
0.3%
20220903 1
0.3%
20220728 1
0.3%
20220629 1
0.3%
20220617 1
0.3%
20220527 1
0.3%
20220401 1
0.3%
20220330 1
0.3%
20220317 1
0.3%
20220311 1
0.3%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing344
Missing (%)100.0%
Memory size3.2 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct35
Distinct (%)38.0%
Missing252
Missing (%)73.3%
Infinite0
Infinite (%)0.0%
Mean119.15217
Minimum0
Maximum6184
Zeros53
Zeros (%)15.4%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-05-11T14:34:40.318550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q376.25
95-th percentile280.7
Maximum6184
Range6184
Interquartile range (IQR)76.25

Descriptive statistics

Standard deviation646.41279
Coefficient of variation (CV)5.4251028
Kurtosis87.859081
Mean119.15217
Median Absolute Deviation (MAD)0
Skewness9.278167
Sum10962
Variance417849.49
MonotonicityNot monotonic
2024-05-11T14:34:40.544470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 53
 
15.4%
83 2
 
0.6%
33 2
 
0.6%
98 2
 
0.6%
360 2
 
0.6%
50 2
 
0.6%
145 1
 
0.3%
251 1
 
0.3%
25 1
 
0.3%
38 1
 
0.3%
Other values (25) 25
 
7.3%
(Missing) 252
73.3%
ValueCountFrequency (%)
0 53
15.4%
9 1
 
0.3%
20 1
 
0.3%
21 1
 
0.3%
24 1
 
0.3%
25 1
 
0.3%
27 1
 
0.3%
30 1
 
0.3%
33 2
 
0.6%
38 1
 
0.3%
ValueCountFrequency (%)
6184 1
0.3%
539 1
0.3%
360 2
0.6%
317 1
0.3%
251 1
0.3%
207 1
0.3%
191 1
0.3%
190 1
0.3%
185 1
0.3%
162 1
0.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03210000CDFI226001198600000119860122<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>535-0114<NA>137909서울특별시 서초구 잠원동 75-19번지 반포쇼핑타운3동1층서울특별시 서초구 신반포로 177 (잠원동,반포쇼핑타운3동1층)<NA>한남항공(주)2004-05-13 13:39:39I2018-08-31 23:59:59.0<NA>200257.080193444878.428107국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13210000CDFI226001198600000219861104201910164취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>543-5557<NA>137905서울특별시 서초구 잠원동 38-26번지 1층서울특별시 서초구 신반포로 333 (잠원동,1층)<NA>(주)아이티항공여행사2019-11-01 10:09:32U2019-11-03 02:40:00.0<NA>201704.659299445410.827928국내여행업관광사업근린상업지역3기타<NA><NA>근린생활시설1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>49.5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50
23210000CDFI226001199400000219940929<NA>3폐업3폐업19960325<NA><NA><NA>539-0178<NA>137862서울특별시 서초구 서초동 1357-1번지 진수빌딩 2층서울특별시 서초구 남부순환로347길 92 (서초동,진수빌딩 2층)<NA>(주)그린놀이마당2003-04-18 11:31:33I2018-08-31 23:59:59.0<NA>202619.484344442903.124164국내여행업관광사업<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
33210000CDFI226001199400000319941008<NA>2휴업2휴업<NA>2009102620101025<NA>586-2724<NA>137875서울특별시 서초구 서초동 1574-7번지 은혜빌딩 3층서울특별시 서초구 반포대로28길 93 (서초동,은혜빌딩 3층)<NA>(주)종합여행유유2009-10-26 16:38:03I2018-08-31 23:59:59.0<NA>201118.84272443334.370304국내여행업관광사업<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><NA>2009020920100209<NA><NA>
43210000CDFI226001199400000419941021<NA>3폐업3폐업19950502<NA><NA><NA>579-8858<NA>137887서울특별시 서초구 양재동 8-3번지 영동단위농협 2층 ]동서울특별시 서초구 남부순환로356길 19, ]동 (양재동,영동단위농협 2층)<NA>(주)제이티월드2003-04-18 11:31:56I2018-08-31 23:59:59.0<NA>203299.42484442431.515825국내여행업관광사업<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
53210000CDFI226001199500000119950220201910164취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>521-2626<NA>137860서울특별시 서초구 서초동 1338-22번지 성지빌딩 204<NA><NA>(주)베스트여행사2019-10-31 13:11:52U2019-11-02 02:40:00.0<NA><NA><NA>국내여행업관광사업<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
63210000CDFI226001199500000319950610<NA>3폐업3폐업19980929<NA><NA><NA>3471-5566<NA>137865서울특별시 서초구 서초동 1443-8번지서울특별시 서초구 효령로 322 (서초동)<NA>(주)여행스케치2003-04-18 11:31:56I2018-08-31 23:59:59.0<NA>201661.680444442604.47164국내여행업관광사업<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
73210000CDFI226001199500000419950719<NA>3폐업3폐업19980624<NA><NA><NA><NA><NA>137882서울특별시 서초구 서초동 1688-5번지 대윤빌딩 503동서울특별시 서초구 서초대로 353, 503동 (서초동,대윤빌딩)<NA>주)제주아산여행사2003-04-18 11:31:56I2018-08-31 23:59:59.0<NA>201691.47871443746.116523국내여행업관광사업<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
83210000CDFI226001199500000519950913<NA>3폐업3폐업20001111<NA><NA><NA>372-2951<NA>137864서울특별시 서초구 서초동 1422-6번지 원림7층서울특별시 서초구 남부순환로 2495 (서초동,원림7층)<NA>(주)팔봉스키리조트2003-04-18 11:31:56I2018-08-31 23:59:59.0<NA>201989.112695442368.675724국내여행업관광사업근린상업지역8기타<NA><NA>근린생활시설70<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>316.6<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>317
93210000CDFI226001199600000619960706<NA>3폐업3폐업19980701<NA><NA><NA>736-8800<NA>137875서울특별시 서초구 서초동 1576-9번지 지산빌딩 3층서울특별시 서초구 서초대로46길 109 (서초동,지산빌딩 3층)<NA>태승관광개발2003-04-18 11:31:56I2018-08-31 23:59:59.0<NA>201166.065208443114.358683국내여행업관광사업<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
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
3343210000CDFI226001202100001020190326<NA>3폐업3폐업20211104<NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1321-9 풍림아이원매직서울특별시 서초구 강남대로55길 24, 풍림아이원매직 602호 (서초동)6619(주)오즈투어2021-11-04 13:31:42I2021-11-06 00:22:45.0<NA>202193.920857443717.690282국내여행업<NA><NA>0<NA><NA>서울보증보험(2천만원)<NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>450000002020031520210314<NA>0
3353210000CDFI226001202100001120211210<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8822-6000<NA><NA>서울특별시 서초구 서초동 1596-3 석오빌딩서울특별시 서초구 사임당로 18, 석오빌딩 2층, B1층, B층 (서초동)6652주식회사 스페이스엘비스2022-04-05 15:38:38U2021-12-04 00:07:00.0<NA>201009.191193442803.810996<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3363210000CDFI226001202200000120100708<NA>1영업/정상13영업중<NA><NA><NA><NA>1644-9111<NA><NA>서울특별시 서초구 방배동 1751 안석빌딩서울특별시 서초구 동작대로 132, 안석빌딩 801호 (방배동)6567(주)바틀2022-12-26 10:06:45U2021-11-01 22:08:00.0<NA>198391.007333442902.290333<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3373210000CDFI226001202200000220220614<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1579-6 평환빌딩서울특별시 서초구 사임당로 27, 평환빌딩 4층 415호 (서초동)6650주식회사 엠에이엘2022-06-17 16:56:02U2021-12-05 23:09:00.0<NA>201094.337058442884.744432<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3383210000CDFI226001202200000320210330<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1338-12 한화생명보험빌딩서울특별시 서초구 강남대로 311, 한화생명보험빌딩 1203호 (서초동)6628주식회사 아이와트립2022-09-22 13:32:33I2021-12-08 22:04:00.0<NA>202605.525331443189.699751<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3393210000CDFI226001202300000120230110<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 양재동 248-4서울특별시 서초구 마방로2길 15-22, 2층 (양재동)6778(주)하이어플레이스2023-01-10 09:55:02I2022-11-30 23:02:00.0<NA>203495.19626441255.554126<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3403210000CDFI22600120230000022023-05-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 방배동 983-42 광찬빌딩 302호서울특별시 서초구 방배로 60, 광찬빌딩 302호 (방배동)6704새로 여행사2023-05-19 09:25:01I2022-12-04 22:01:00.0<NA>199830.003088441996.985239<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3413210000CDFI22600120230000032023-09-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 방배동 478-5서울특별시 서초구 효령로2길 5, 지하1층 (방배동)6698일루미나2023-09-13 16:06:51U2022-12-08 23:06:00.0<NA>198757.145597441592.988301<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3423210000CDFI22600120230000042015-01-13<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3461-2226<NA><NA>서울특별시 서초구 양재동 393-2 영창빌딩서울특별시 서초구 논현로 21, 영창빌딩 3층 (양재동)6783주식회사 엠씨피인터네셔널2023-09-27 10:27:18I2022-12-08 22:09:00.0<NA>204276.538326441189.659955<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3433210000CDFI22600120240000012018-06-14<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4336-1824<NA><NA>서울특별시 서초구 서초동 1444-18 TSA 빌딩서울특별시 서초구 효령로60길 23-14, TSA 빌딩 2층 (서초동)6721캠핑톡 주식회사2024-05-02 16:19:25U2023-12-05 00:04:00.0<NA>201671.855399442486.258698<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>