Overview

Dataset statistics

Number of variables60
Number of observations222
Missing cells6330
Missing cells (%)47.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory112.6 KiB
Average record size in memory519.6 B

Variable types

Numeric7
Text10
DateTime4
Categorical20
Unsupported19

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
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16091/S/1/datasetView.do

Alerts

지역구분명 has constant value ""Constant
주변환경명 has constant value ""Constant
데이터갱신구분 is highly imbalanced (66.9%)Imbalance
데이터갱신일자 is highly imbalanced (76.7%)Imbalance
문화체육업종명 is highly imbalanced (82.1%)Imbalance
문화사업자구분명 is highly imbalanced (66.1%)Imbalance
총층수 is highly imbalanced (89.3%)Imbalance
건물용도명 is highly imbalanced (83.6%)Imbalance
지하층수 is highly imbalanced (83.4%)Imbalance
객실수 is highly imbalanced (84.5%)Imbalance
건축연면적 is highly imbalanced (84.5%)Imbalance
선박총톤수 is highly imbalanced (84.5%)Imbalance
선박척수 is highly imbalanced (84.5%)Imbalance
무대면적 is highly imbalanced (84.5%)Imbalance
좌석수 is highly imbalanced (84.5%)Imbalance
회의실별동시수용인원 is highly imbalanced (84.5%)Imbalance
놀이시설수 is highly imbalanced (84.5%)Imbalance
자본금 is highly imbalanced (84.5%)Imbalance
인허가취소일자 has 213 (95.9%) missing valuesMissing
폐업일자 has 143 (64.4%) missing valuesMissing
휴업시작일자 has 222 (100.0%) missing valuesMissing
휴업종료일자 has 222 (100.0%) missing valuesMissing
재개업일자 has 222 (100.0%) missing valuesMissing
전화번호 has 14 (6.3%) missing valuesMissing
소재지면적 has 222 (100.0%) missing valuesMissing
소재지우편번호 has 10 (4.5%) missing valuesMissing
도로명주소 has 22 (9.9%) missing valuesMissing
도로명우편번호 has 164 (73.9%) missing valuesMissing
업태구분명 has 222 (100.0%) missing valuesMissing
좌표정보(X) has 16 (7.2%) missing valuesMissing
좌표정보(Y) has 16 (7.2%) missing valuesMissing
지역구분명 has 221 (99.5%) missing valuesMissing
주변환경명 has 221 (99.5%) missing valuesMissing
제작취급품목내용 has 222 (100.0%) missing valuesMissing
보험기관명 has 217 (97.7%) missing valuesMissing
지상층수 has 209 (94.1%) missing valuesMissing
영문상호명 has 216 (97.3%) missing valuesMissing
영문상호주소 has 222 (100.0%) missing valuesMissing
선박제원 has 222 (100.0%) missing valuesMissing
기념품종류 has 222 (100.0%) missing valuesMissing
시설면적 has 215 (96.8%) missing valuesMissing
놀이기구수내역 has 222 (100.0%) missing valuesMissing
방송시설유무 has 222 (100.0%) missing valuesMissing
발전시설유무 has 222 (100.0%) missing valuesMissing
의무실유무 has 222 (100.0%) missing valuesMissing
안내소유무 has 222 (100.0%) missing valuesMissing
기획여행보험시작일자 has 222 (100.0%) missing valuesMissing
기획여행보험종료일자 has 222 (100.0%) missing valuesMissing
보험시작일자 has 222 (100.0%) missing valuesMissing
보험종료일자 has 222 (100.0%) missing valuesMissing
부대시설내역 has 222 (100.0%) missing valuesMissing
시설규모 has 215 (96.8%) missing valuesMissing
최종수정일자 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영문상호주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지상층수 has 3 (1.4%) zerosZeros

Reproduction

Analysis started2024-05-11 06:09:10.073661
Analysis finished2024-05-11 06:09:11.477871
Duration1.4 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct12
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3135855.9
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-05-11T15:09:11.575916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3020000
Q13050000
median3160000
Q33220000
95-th percentile3220000
Maximum3240000
Range240000
Interquartile range (IQR)170000

Descriptive statistics

Standard deviation85049.557
Coefficient of variation (CV)0.027121641
Kurtosis-1.6669938
Mean3135855.9
Median Absolute Deviation (MAD)60000
Skewness-0.2936585
Sum6.9616 × 108
Variance7.2334271 × 109
MonotonicityNot monotonic
2024-05-11T15:09:11.761470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3220000 87
39.2%
3020000 49
22.1%
3070000 18
 
8.1%
3160000 18
 
8.1%
3050000 16
 
7.2%
3200000 15
 
6.8%
3110000 6
 
2.7%
3120000 4
 
1.8%
3100000 3
 
1.4%
3140000 3
 
1.4%
Other values (2) 3
 
1.4%
ValueCountFrequency (%)
3000000 2
 
0.9%
3020000 49
22.1%
3050000 16
 
7.2%
3070000 18
 
8.1%
3100000 3
 
1.4%
3110000 6
 
2.7%
3120000 4
 
1.8%
3140000 3
 
1.4%
3160000 18
 
8.1%
3200000 15
 
6.8%
ValueCountFrequency (%)
3240000 1
 
0.5%
3220000 87
39.2%
3200000 15
 
6.8%
3160000 18
 
8.1%
3140000 3
 
1.4%
3120000 4
 
1.8%
3110000 6
 
2.7%
3100000 3
 
1.4%
3070000 18
 
8.1%
3050000 16
 
7.2%
Distinct108
Distinct (%)48.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-05-11T15:09:12.089486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters4440
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

Unique55 ?
Unique (%)24.8%

Sample

1st rowCDFI3261042001000001
2nd rowCDFI3261041997000001
3rd rowCDFI3261042017000001
4th rowCDFI3261042017000002
5th rowCDFI3261042008000003
ValueCountFrequency (%)
cdfi3261042006000001 7
 
3.2%
cdfi3261042010000001 7
 
3.2%
cdfi3261042008000001 7
 
3.2%
cdfi3261042008000003 6
 
2.7%
cdfi3261042009000001 6
 
2.7%
cdfi3261042009000002 5
 
2.3%
cdfi3261042008000002 5
 
2.3%
cdfi3261042008000005 5
 
2.3%
cdfi3261042007000001 5
 
2.3%
cdfi3261042009000003 5
 
2.3%
Other values (98) 164
73.9%
2024-05-11T15:09:12.651673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1702
38.3%
2 493
 
11.1%
1 412
 
9.3%
3 254
 
5.7%
6 254
 
5.7%
4 245
 
5.5%
C 222
 
5.0%
D 222
 
5.0%
F 222
 
5.0%
I 222
 
5.0%
Other values (4) 192
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3552
80.0%
Uppercase Letter 888
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1702
47.9%
2 493
 
13.9%
1 412
 
11.6%
3 254
 
7.2%
6 254
 
7.2%
4 245
 
6.9%
9 73
 
2.1%
8 52
 
1.5%
7 46
 
1.3%
5 21
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
C 222
25.0%
D 222
25.0%
F 222
25.0%
I 222
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3552
80.0%
Latin 888
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1702
47.9%
2 493
 
13.9%
1 412
 
11.6%
3 254
 
7.2%
6 254
 
7.2%
4 245
 
6.9%
9 73
 
2.1%
8 52
 
1.5%
7 46
 
1.3%
5 21
 
0.6%
Latin
ValueCountFrequency (%)
C 222
25.0%
D 222
25.0%
F 222
25.0%
I 222
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4440
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1702
38.3%
2 493
 
11.1%
1 412
 
9.3%
3 254
 
5.7%
6 254
 
5.7%
4 245
 
5.5%
C 222
 
5.0%
D 222
 
5.0%
F 222
 
5.0%
I 222
 
5.0%
Other values (4) 192
 
4.3%
Distinct177
Distinct (%)79.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum1900-01-01 00:00:00
Maximum2020-12-02 00:00:00
2024-05-11T15:09:12.925228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:09:13.164241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct6
Distinct (%)66.7%
Missing213
Missing (%)95.9%
Memory size1.9 KiB
Minimum2014-10-17 00:00:00
Maximum2023-08-01 00:00:00
2024-05-11T15:09:13.368143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:09:13.553032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
1
133 
3
80 
4
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 133
59.9%
3 80
36.0%
4 9
 
4.1%

Length

2024-05-11T15:09:13.842887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:09:14.009577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 133
59.9%
3 80
36.0%
4 9
 
4.1%

영업상태명
Categorical

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
영업/정상
133 
폐업
80 
취소/말소/만료/정지/중지
 
9

Length

Max length14
Median length5
Mean length4.2837838
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 133
59.9%
폐업 80
36.0%
취소/말소/만료/정지/중지 9
 
4.1%

Length

2024-05-11T15:09:14.246125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:09:14.446847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 133
59.9%
폐업 80
36.0%
취소/말소/만료/정지/중지 9
 
4.1%
Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
13
133 
3
80 
33
 
9

Length

Max length2
Median length2
Mean length1.6396396
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row13
3rd row3
4th row33
5th row3

Common Values

ValueCountFrequency (%)
13 133
59.9%
3 80
36.0%
33 9
 
4.1%

Length

2024-05-11T15:09:14.647174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:09:15.157349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 133
59.9%
3 80
36.0%
33 9
 
4.1%
Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
영업중
133 
폐업
80 
지정취소
 
9

Length

Max length4
Median length3
Mean length2.6801802
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 133
59.9%
폐업 80
36.0%
지정취소 9
 
4.1%

Length

2024-05-11T15:09:15.351254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:09:15.527952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 133
59.9%
폐업 80
36.0%
지정취소 9
 
4.1%

폐업일자
Date

MISSING 

Distinct63
Distinct (%)79.7%
Missing143
Missing (%)64.4%
Memory size1.9 KiB
Minimum2004-05-19 00:00:00
Maximum2023-06-27 00:00:00
2024-05-11T15:09:15.687171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:09:15.904366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing222
Missing (%)100.0%
Memory size2.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing222
Missing (%)100.0%
Memory size2.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing222
Missing (%)100.0%
Memory size2.1 KiB

전화번호
Text

MISSING 

Distinct207
Distinct (%)99.5%
Missing14
Missing (%)6.3%
Memory size1.9 KiB
2024-05-11T15:09:16.388642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.0144231
Min length7

Characters and Unicode

Total characters1875
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

Unique206 ?
Unique (%)99.0%

Sample

1st row322-7757
2nd row975-8313
3rd row02-730-2051
4th row02-3438-6105
5th row747-2976
ValueCountFrequency (%)
553-9000 2
 
1.0%
569-6772 1
 
0.5%
549-1020 1
 
0.5%
522-7100 1
 
0.5%
553-2233 1
 
0.5%
02-567-7454 1
 
0.5%
02-558-4525 1
 
0.5%
551-5000 1
 
0.5%
547-5441 1
 
0.5%
3270-7533 1
 
0.5%
Other values (197) 197
94.7%
2024-05-11T15:09:16.967755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 260
13.9%
2 213
11.4%
5 212
11.3%
0 197
10.5%
7 161
8.6%
4 156
8.3%
8 154
8.2%
9 139
7.4%
3 134
7.1%
6 132
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1615
86.1%
Dash Punctuation 260
 
13.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 213
13.2%
5 212
13.1%
0 197
12.2%
7 161
10.0%
4 156
9.7%
8 154
9.5%
9 139
8.6%
3 134
8.3%
6 132
8.2%
1 117
7.2%
Dash Punctuation
ValueCountFrequency (%)
- 260
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1875
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 260
13.9%
2 213
11.4%
5 212
11.3%
0 197
10.5%
7 161
8.6%
4 156
8.3%
8 154
8.2%
9 139
7.4%
3 134
7.1%
6 132
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1875
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 260
13.9%
2 213
11.4%
5 212
11.3%
0 197
10.5%
7 161
8.6%
4 156
8.3%
8 154
8.2%
9 139
7.4%
3 134
7.1%
6 132
7.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing222
Missing (%)100.0%
Memory size2.1 KiB

소재지우편번호
Text

MISSING 

Distinct147
Distinct (%)69.3%
Missing10
Missing (%)4.5%
Memory size1.9 KiB
2024-05-11T15:09:17.409447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0141509
Min length6

Characters and Unicode

Total characters1275
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

Unique110 ?
Unique (%)51.9%

Sample

1st row120-834
2nd row120-809
3rd row139-801
4th row110210
5th row135724
ValueCountFrequency (%)
136075 10
 
4.7%
140858 9
 
4.2%
140884 4
 
1.9%
140863 4
 
1.9%
135517 4
 
1.9%
140201 3
 
1.4%
140865 3
 
1.4%
151835 3
 
1.4%
130872 3
 
1.4%
140887 3
 
1.4%
Other values (137) 166
78.3%
2024-05-11T15:09:18.142024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 281
22.0%
5 188
14.7%
8 182
14.3%
3 164
12.9%
0 134
10.5%
4 82
 
6.4%
2 67
 
5.3%
9 67
 
5.3%
7 57
 
4.5%
6 50
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1272
99.8%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 281
22.1%
5 188
14.8%
8 182
14.3%
3 164
12.9%
0 134
10.5%
4 82
 
6.4%
2 67
 
5.3%
9 67
 
5.3%
7 57
 
4.5%
6 50
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1275
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 281
22.0%
5 188
14.7%
8 182
14.3%
3 164
12.9%
0 134
10.5%
4 82
 
6.4%
2 67
 
5.3%
9 67
 
5.3%
7 57
 
4.5%
6 50
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1275
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 281
22.0%
5 188
14.7%
8 182
14.3%
3 164
12.9%
0 134
10.5%
4 82
 
6.4%
2 67
 
5.3%
9 67
 
5.3%
7 57
 
4.5%
6 50
 
3.9%
Distinct219
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-05-11T15:09:18.779254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length39
Mean length26.626126
Min length19

Characters and Unicode

Total characters5911
Distinct characters199
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

Unique216 ?
Unique (%)97.3%

Sample

1st row서울특별시 서대문구 창천동 72-14번지 캠퍼스프라자 지1층
2nd row서울특별시 서대문구 대현동 101-7번지
3rd row서울특별시 강동구 천호동 427-3
4th row서울특별시 동대문구 회기동 16-65 2,3층
5th row서울특별시 노원구 공릉동 312-24
ValueCountFrequency (%)
서울특별시 222
 
20.4%
강남구 87
 
8.0%
용산구 49
 
4.5%
1층 27
 
2.5%
이태원동 24
 
2.2%
지상1층 20
 
1.8%
역삼동 20
 
1.8%
구로구 18
 
1.7%
성북구 18
 
1.7%
지하1층 17
 
1.6%
Other values (362) 585
53.8%
2024-05-11T15:09:19.577858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1076
18.2%
1 314
 
5.3%
259
 
4.4%
253
 
4.3%
243
 
4.1%
227
 
3.8%
223
 
3.8%
222
 
3.8%
222
 
3.8%
222
 
3.8%
Other values (189) 2650
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3454
58.4%
Decimal Number 1147
 
19.4%
Space Separator 1076
 
18.2%
Dash Punctuation 194
 
3.3%
Other Punctuation 19
 
0.3%
Uppercase Letter 16
 
0.3%
Math Symbol 3
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
259
 
7.5%
253
 
7.3%
243
 
7.0%
227
 
6.6%
223
 
6.5%
222
 
6.4%
222
 
6.4%
222
 
6.4%
192
 
5.6%
118
 
3.4%
Other values (163) 1273
36.9%
Decimal Number
ValueCountFrequency (%)
1 314
27.4%
2 171
14.9%
3 119
 
10.4%
5 90
 
7.8%
6 89
 
7.8%
0 83
 
7.2%
4 76
 
6.6%
8 71
 
6.2%
9 71
 
6.2%
7 63
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
B 4
25.0%
S 2
12.5%
C 2
12.5%
G 2
12.5%
N 1
 
6.2%
X 1
 
6.2%
E 1
 
6.2%
T 1
 
6.2%
I 1
 
6.2%
O 1
 
6.2%
Space Separator
ValueCountFrequency (%)
1076
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 194
100.0%
Other Punctuation
ValueCountFrequency (%)
, 19
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3454
58.4%
Common 2441
41.3%
Latin 16
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
259
 
7.5%
253
 
7.3%
243
 
7.0%
227
 
6.6%
223
 
6.5%
222
 
6.4%
222
 
6.4%
222
 
6.4%
192
 
5.6%
118
 
3.4%
Other values (163) 1273
36.9%
Common
ValueCountFrequency (%)
1076
44.1%
1 314
 
12.9%
- 194
 
7.9%
2 171
 
7.0%
3 119
 
4.9%
5 90
 
3.7%
6 89
 
3.6%
0 83
 
3.4%
4 76
 
3.1%
8 71
 
2.9%
Other values (6) 158
 
6.5%
Latin
ValueCountFrequency (%)
B 4
25.0%
S 2
12.5%
C 2
12.5%
G 2
12.5%
N 1
 
6.2%
X 1
 
6.2%
E 1
 
6.2%
T 1
 
6.2%
I 1
 
6.2%
O 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3454
58.4%
ASCII 2457
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1076
43.8%
1 314
 
12.8%
- 194
 
7.9%
2 171
 
7.0%
3 119
 
4.8%
5 90
 
3.7%
6 89
 
3.6%
0 83
 
3.4%
4 76
 
3.1%
8 71
 
2.9%
Other values (16) 174
 
7.1%
Hangul
ValueCountFrequency (%)
259
 
7.5%
253
 
7.3%
243
 
7.0%
227
 
6.6%
223
 
6.5%
222
 
6.4%
222
 
6.4%
222
 
6.4%
192
 
5.6%
118
 
3.4%
Other values (163) 1273
36.9%

도로명주소
Text

MISSING 

Distinct197
Distinct (%)98.5%
Missing22
Missing (%)9.9%
Memory size1.9 KiB
2024-05-11T15:09:20.155675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length42
Mean length29.49
Min length22

Characters and Unicode

Total characters5898
Distinct characters205
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

Unique194 ?
Unique (%)97.0%

Sample

1st row서울특별시 서대문구 신촌로 73 (창천동,캠퍼스프라자 지1층)
2nd row서울특별시 서대문구 신촌역로 10 (대현동)
3rd row서울특별시 강동구 올림픽로 660, 지하1층 (천호동, 천호엘크루주상복합)
4th row서울특별시 동대문구 경희대로 3, 2,3층층 (회기동)
5th row서울특별시 노원구 동일로191가길 73 (공릉동)
ValueCountFrequency (%)
서울특별시 200
 
18.7%
강남구 74
 
6.9%
용산구 41
 
3.8%
구로구 18
 
1.7%
성북구 18
 
1.7%
동대문구 16
 
1.5%
관악구 15
 
1.4%
이태원로 11
 
1.0%
1층 11
 
1.0%
안암동5가 10
 
0.9%
Other values (430) 655
61.3%
2024-05-11T15:09:21.037260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
970
 
16.4%
237
 
4.0%
235
 
4.0%
229
 
3.9%
1 220
 
3.7%
210
 
3.6%
203
 
3.4%
201
 
3.4%
200
 
3.4%
200
 
3.4%
Other values (195) 2993
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3500
59.3%
Space Separator 970
 
16.4%
Decimal Number 873
 
14.8%
Close Punctuation 200
 
3.4%
Open Punctuation 200
 
3.4%
Other Punctuation 128
 
2.2%
Dash Punctuation 20
 
0.3%
Uppercase Letter 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
237
 
6.8%
235
 
6.7%
229
 
6.5%
210
 
6.0%
203
 
5.8%
201
 
5.7%
200
 
5.7%
200
 
5.7%
110
 
3.1%
99
 
2.8%
Other values (176) 1576
45.0%
Decimal Number
ValueCountFrequency (%)
1 220
25.2%
2 175
20.0%
3 81
 
9.3%
4 68
 
7.8%
5 63
 
7.2%
6 63
 
7.2%
0 62
 
7.1%
7 57
 
6.5%
8 47
 
5.4%
9 37
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
B 4
57.1%
C 1
 
14.3%
T 1
 
14.3%
I 1
 
14.3%
Space Separator
ValueCountFrequency (%)
970
100.0%
Close Punctuation
ValueCountFrequency (%)
) 200
100.0%
Open Punctuation
ValueCountFrequency (%)
( 200
100.0%
Other Punctuation
ValueCountFrequency (%)
, 128
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3500
59.3%
Common 2391
40.5%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
237
 
6.8%
235
 
6.7%
229
 
6.5%
210
 
6.0%
203
 
5.8%
201
 
5.7%
200
 
5.7%
200
 
5.7%
110
 
3.1%
99
 
2.8%
Other values (176) 1576
45.0%
Common
ValueCountFrequency (%)
970
40.6%
1 220
 
9.2%
) 200
 
8.4%
( 200
 
8.4%
2 175
 
7.3%
, 128
 
5.4%
3 81
 
3.4%
4 68
 
2.8%
5 63
 
2.6%
6 63
 
2.6%
Other values (5) 223
 
9.3%
Latin
ValueCountFrequency (%)
B 4
57.1%
C 1
 
14.3%
T 1
 
14.3%
I 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3500
59.3%
ASCII 2398
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
970
40.5%
1 220
 
9.2%
) 200
 
8.3%
( 200
 
8.3%
2 175
 
7.3%
, 128
 
5.3%
3 81
 
3.4%
4 68
 
2.8%
5 63
 
2.6%
6 63
 
2.6%
Other values (9) 230
 
9.6%
Hangul
ValueCountFrequency (%)
237
 
6.8%
235
 
6.7%
229
 
6.5%
210
 
6.0%
203
 
5.8%
201
 
5.7%
200
 
5.7%
200
 
5.7%
110
 
3.1%
99
 
2.8%
Other values (176) 1576
45.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)79.3%
Missing164
Missing (%)73.9%
Infinite0
Infinite (%)0.0%
Mean27974.69
Minimum2419
Maximum152888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-05-11T15:09:21.245818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2419
5-th percentile2453.85
Q12821
median7962
Q38389.25
95-th percentile136192.45
Maximum152888
Range150469
Interquartile range (IQR)5568.25

Descriptive statistics

Standard deviation50562.963
Coefficient of variation (CV)1.8074539
Kurtosis1.3025081
Mean27974.69
Median Absolute Deviation (MAD)5112
Skewness1.7896794
Sum1622532
Variance2.5566132 × 109
MonotonicityNot monotonic
2024-05-11T15:09:21.442953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
2454 3
 
1.4%
2856 3
 
1.4%
2855 3
 
1.4%
2419 2
 
0.9%
2468 2
 
0.9%
8275 2
 
0.9%
2821 2
 
0.9%
8292 2
 
0.9%
136075 2
 
0.9%
8381 1
 
0.5%
Other values (36) 36
 
16.2%
(Missing) 164
73.9%
ValueCountFrequency (%)
2419 2
0.9%
2453 1
 
0.5%
2454 3
1.4%
2468 2
0.9%
2473 1
 
0.5%
2505 1
 
0.5%
2506 1
 
0.5%
2645 1
 
0.5%
2730 1
 
0.5%
2811 1
 
0.5%
ValueCountFrequency (%)
152888 1
0.5%
152725 1
0.5%
136858 1
0.5%
136075 2
0.9%
136053 1
0.5%
130876 1
0.5%
130872 1
0.5%
130840 1
0.5%
130831 1
0.5%
8806 1
0.5%
Distinct220
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-05-11T15:09:21.820139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length20
Mean length7.6261261
Min length1

Characters and Unicode

Total characters1693
Distinct characters324
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique218 ?
Unique (%)98.2%

Sample

1st row(주)아모제마르쉐신촌점
2nd row롸이즈온(주)베니건스이대점
3rd row아웃백스테이크하우스 천호점
4th row복가주점 제라-1-1555호
5th row味차이
ValueCountFrequency (%)
아웃백스테이크하우스 5
 
1.7%
중국식 4
 
1.4%
파타야 2
 
0.7%
르어 2
 
0.7%
주)바른손 2
 
0.7%
베니건스 2
 
0.7%
압구정점 2
 
0.7%
코엑스점 2
 
0.7%
나마스테 2
 
0.7%
레스토랑 2
 
0.7%
Other values (256) 261
91.3%
2024-05-11T15:09:22.406524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
100
 
5.9%
( 83
 
4.9%
) 74
 
4.4%
65
 
3.8%
49
 
2.9%
42
 
2.5%
36
 
2.1%
1 35
 
2.1%
31
 
1.8%
30
 
1.8%
Other values (314) 1148
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1301
76.8%
Space Separator 100
 
5.9%
Open Punctuation 83
 
4.9%
Decimal Number 76
 
4.5%
Close Punctuation 74
 
4.4%
Lowercase Letter 24
 
1.4%
Dash Punctuation 17
 
1.0%
Uppercase Letter 16
 
0.9%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
65
 
5.0%
49
 
3.8%
42
 
3.2%
36
 
2.8%
31
 
2.4%
30
 
2.3%
29
 
2.2%
28
 
2.2%
23
 
1.8%
23
 
1.8%
Other values (279) 945
72.6%
Uppercase Letter
ValueCountFrequency (%)
C 4
25.0%
A 2
12.5%
T 2
12.5%
P 1
 
6.2%
W 1
 
6.2%
S 1
 
6.2%
R 1
 
6.2%
U 1
 
6.2%
J 1
 
6.2%
Y 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 35
46.1%
5 8
 
10.5%
3 7
 
9.2%
4 5
 
6.6%
7 5
 
6.6%
6 5
 
6.6%
0 5
 
6.6%
2 3
 
3.9%
9 2
 
2.6%
8 1
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
n 7
29.2%
a 5
20.8%
h 4
16.7%
u 3
12.5%
i 2
 
8.3%
r 1
 
4.2%
o 1
 
4.2%
e 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
100
100.0%
Open Punctuation
ValueCountFrequency (%)
( 83
100.0%
Close Punctuation
ValueCountFrequency (%)
) 74
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1299
76.7%
Common 352
 
20.8%
Latin 40
 
2.4%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
65
 
5.0%
49
 
3.8%
42
 
3.2%
36
 
2.8%
31
 
2.4%
30
 
2.3%
29
 
2.2%
28
 
2.2%
23
 
1.8%
23
 
1.8%
Other values (277) 943
72.6%
Latin
ValueCountFrequency (%)
n 7
17.5%
a 5
12.5%
C 4
10.0%
h 4
10.0%
u 3
 
7.5%
i 2
 
5.0%
A 2
 
5.0%
T 2
 
5.0%
P 1
 
2.5%
r 1
 
2.5%
Other values (9) 9
22.5%
Common
ValueCountFrequency (%)
100
28.4%
( 83
23.6%
) 74
21.0%
1 35
 
9.9%
- 17
 
4.8%
5 8
 
2.3%
3 7
 
2.0%
4 5
 
1.4%
7 5
 
1.4%
6 5
 
1.4%
Other values (6) 13
 
3.7%
Han
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1299
76.7%
ASCII 392
 
23.2%
CJK 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
100
25.5%
( 83
21.2%
) 74
18.9%
1 35
 
8.9%
- 17
 
4.3%
5 8
 
2.0%
3 7
 
1.8%
n 7
 
1.8%
4 5
 
1.3%
7 5
 
1.3%
Other values (25) 51
13.0%
Hangul
ValueCountFrequency (%)
65
 
5.0%
49
 
3.8%
42
 
3.2%
36
 
2.8%
31
 
2.4%
30
 
2.3%
29
 
2.2%
28
 
2.2%
23
 
1.8%
23
 
1.8%
Other values (277) 943
72.6%
CJK
ValueCountFrequency (%)
1
50.0%
1
50.0%

최종수정일자
Date

UNIQUE 

Distinct222
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2004-06-07 16:52:02
Maximum2023-08-14 15:33:26
2024-05-11T15:09:22.599662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:09:22.754948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
I
199 
U
21 
D
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 199
89.6%
U 21
 
9.5%
D 2
 
0.9%

Length

2024-05-11T15:09:22.996620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:09:23.153722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 199
89.6%
u 21
 
9.5%
d 2
 
0.9%

데이터갱신일자
Categorical

IMBALANCE 

Distinct13
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2018-08-31 23:59:59.0
197 
2021-06-19 02:40:00.0
 
7
2022-01-29 02:40:00.0
 
5
2022-12-02 23:07:00.0
 
2
2022-12-07 23:07:00.0
 
2
Other values (8)
 
9

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique7 ?
Unique (%)3.2%

Sample

1st row2022-12-02 23:07:00.0
2nd row2022-12-02 23:07:00.0
3rd row2022-12-02 22:02:00.0
4th row2022-12-07 23:07:00.0
5th row2022-12-07 23:07:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 197
88.7%
2021-06-19 02:40:00.0 7
 
3.2%
2022-01-29 02:40:00.0 5
 
2.3%
2022-12-02 23:07:00.0 2
 
0.9%
2022-12-07 23:07:00.0 2
 
0.9%
2021-01-09 00:23:05.0 2
 
0.9%
2022-12-02 22:02:00.0 1
 
0.5%
2018-12-13 02:40:00.0 1
 
0.5%
2019-01-16 02:40:00.0 1
 
0.5%
2019-09-12 02:40:00.0 1
 
0.5%
Other values (3) 3
 
1.4%

Length

2024-05-11T15:09:23.297761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 197
44.4%
23:59:59.0 197
44.4%
02:40:00.0 17
 
3.8%
2021-06-19 7
 
1.6%
2022-01-29 5
 
1.1%
23:07:00.0 4
 
0.9%
2022-12-02 3
 
0.7%
2021-01-09 2
 
0.5%
00:23:05.0 2
 
0.5%
2022-12-07 2
 
0.5%
Other values (8) 8
 
1.8%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing222
Missing (%)100.0%
Memory size2.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct197
Distinct (%)95.6%
Missing16
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean200085.35
Minimum185869.98
Maximum210935.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-05-11T15:09:23.458696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum185869.98
5-th percentile190030.61
Q1197783.2
median202053.22
Q3203544.77
95-th percentile205332.97
Maximum210935.04
Range25065.056
Interquartile range (IQR)5761.5713

Descriptive statistics

Standard deviation4906.3787
Coefficient of variation (CV)0.024521428
Kurtosis0.056099176
Mean200085.35
Median Absolute Deviation (MAD)2533.2898
Skewness-0.96128486
Sum41217583
Variance24072552
MonotonicityNot monotonic
2024-05-11T15:09:23.667100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
196762.077394917 2
 
0.9%
199250.427930739 2
 
0.9%
199246.941302984 2
 
0.9%
199540.580295258 2
 
0.9%
189570.360930049 2
 
0.9%
200400.129158269 2
 
0.9%
203336.821517205 2
 
0.9%
187949.088952952 2
 
0.9%
190107.045415333 2
 
0.9%
201988.322910124 1
 
0.5%
Other values (187) 187
84.2%
(Missing) 16
 
7.2%
ValueCountFrequency (%)
185869.982582765 1
0.5%
187949.088952952 2
0.9%
188525.077879574 1
0.5%
188572.108662809 1
0.5%
189570.360930049 2
0.9%
189632.779364235 1
0.5%
189880.449702648 1
0.5%
189959.580578261 1
0.5%
190005.132500398 1
0.5%
190107.045415333 2
0.9%
ValueCountFrequency (%)
210935.038615054 1
0.5%
206199.953197537 1
0.5%
206161.184646384 1
0.5%
206132.909754258 1
0.5%
205791.297776324 1
0.5%
205627.537677229 1
0.5%
205601.464498833 1
0.5%
205552.78825108 1
0.5%
205451.108723746 1
0.5%
205430.675401509 1
0.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct197
Distinct (%)95.6%
Missing16
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean447717.04
Minimum440725.6
Maximum463829.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-05-11T15:09:23.881512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440725.6
5-th percentile442012.37
Q1444506.83
median447020.81
Q3448788.79
95-th percentile454918.99
Maximum463829.11
Range23103.51
Interquartile range (IQR)4281.9582

Descriptive statistics

Standard deviation4335.5902
Coefficient of variation (CV)0.009683773
Kurtosis0.4600636
Mean447717.04
Median Absolute Deviation (MAD)2507.9767
Skewness0.85423612
Sum92229711
Variance18797343
MonotonicityNot monotonic
2024-05-11T15:09:24.079018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447480.039577359 2
 
0.9%
448098.758066965 2
 
0.9%
448082.396562882 2
 
0.9%
448085.228014094 2
 
0.9%
444336.051330144 2
 
0.9%
454940.942694857 2
 
0.9%
446708.403920022 2
 
0.9%
443890.882160808 2
 
0.9%
445157.626366229 2
 
0.9%
446465.736555461 1
 
0.5%
Other values (187) 187
84.2%
(Missing) 16
 
7.2%
ValueCountFrequency (%)
440725.599485472 1
0.5%
440910.899235064 1
0.5%
441131.989043813 1
0.5%
441498.239115823 1
0.5%
441572.330525418 1
0.5%
441657.960486242 1
0.5%
441754.056240254 1
0.5%
441790.043049258 1
0.5%
441790.641846171 1
0.5%
441869.843556368 1
0.5%
ValueCountFrequency (%)
463829.109760713 1
0.5%
461838.485027889 1
0.5%
458436.655271044 1
0.5%
457637.316384097 1
0.5%
457022.0465948 1
0.5%
456512.517554574 1
0.5%
456080.782844888 1
0.5%
455474.371028711 1
0.5%
454940.942694857 2
0.9%
454920.010325669 1
0.5%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
관광식당업
216 
<NA>
 
6

Length

Max length5
Median length5
Mean length4.972973
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 (%)
관광식당업 216
97.3%
<NA> 6
 
2.7%

Length

2024-05-11T15:09:24.245542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:09:24.376613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광식당업 216
97.3%
na 6
 
2.7%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
208 
관광사업
 
14

Length

Max length4
Median length4
Mean length4
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> 208
93.7%
관광사업 14
 
6.3%

Length

2024-05-11T15:09:24.544594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:09:24.685031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 208
93.7%
관광사업 14
 
6.3%

지역구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing221
Missing (%)99.5%
Memory size1.9 KiB
2024-05-11T15:09:24.853619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row일반주거지역
ValueCountFrequency (%)
일반주거지역 1
100.0%
2024-05-11T15:09:25.237903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%

총층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
216 
0
 
4
2
 
1
4
 
1

Length

Max length4
Median length4
Mean length3.9189189
Min length1

Unique

Unique2 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 216
97.3%
0 4
 
1.8%
2 1
 
0.5%
4 1
 
0.5%

Length

2024-05-11T15:09:25.463009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:09:25.604613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 216
97.3%
0 4
 
1.8%
2 1
 
0.5%
4 1
 
0.5%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing221
Missing (%)99.5%
Memory size1.9 KiB
2024-05-11T15:09:25.744142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row주택가주변
ValueCountFrequency (%)
주택가주변 1
100.0%
2024-05-11T15:09:26.109364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2
40.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2
40.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2
40.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2
40.0%
1
20.0%
1
20.0%
1
20.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing222
Missing (%)100.0%
Memory size2.1 KiB

보험기관명
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing217
Missing (%)97.7%
Memory size1.9 KiB
2024-05-11T15:09:26.308953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length12
Mean length13.4
Min length5

Characters and Unicode

Total characters67
Distinct characters43
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
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 row서울시관광협회 신규지정통보회원2017-85호
2nd row팩스 2066-6006
3rd row팩스 02-6923-2701
4th row대표자-오진권,최민수
5th row이탈리아식
ValueCountFrequency (%)
팩스 2
25.0%
서울시관광협회 1
12.5%
신규지정통보회원2017-85호 1
12.5%
2066-6006 1
12.5%
02-6923-2701 1
12.5%
대표자-오진권,최민수 1
12.5%
이탈리아식 1
12.5%
2024-05-11T15:09:26.695321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6
 
9.0%
6 5
 
7.5%
- 5
 
7.5%
2 5
 
7.5%
3
 
4.5%
2
 
3.0%
2
 
3.0%
2
 
3.0%
7 2
 
3.0%
1 2
 
3.0%
Other values (33) 33
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34
50.7%
Decimal Number 24
35.8%
Dash Punctuation 5
 
7.5%
Space Separator 3
 
4.5%
Other Punctuation 1
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2
 
5.9%
2
 
5.9%
2
 
5.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
Other values (21) 21
61.8%
Decimal Number
ValueCountFrequency (%)
0 6
25.0%
6 5
20.8%
2 5
20.8%
7 2
 
8.3%
1 2
 
8.3%
3 1
 
4.2%
5 1
 
4.2%
9 1
 
4.2%
8 1
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34
50.7%
Common 33
49.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2
 
5.9%
2
 
5.9%
2
 
5.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
Other values (21) 21
61.8%
Common
ValueCountFrequency (%)
0 6
18.2%
6 5
15.2%
- 5
15.2%
2 5
15.2%
3
9.1%
7 2
 
6.1%
1 2
 
6.1%
3 1
 
3.0%
, 1
 
3.0%
5 1
 
3.0%
Other values (2) 2
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34
50.7%
ASCII 33
49.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6
18.2%
6 5
15.2%
- 5
15.2%
2 5
15.2%
3
9.1%
7 2
 
6.1%
1 2
 
6.1%
3 1
 
3.0%
, 1
 
3.0%
5 1
 
3.0%
Other values (2) 2
 
6.1%
Hangul
ValueCountFrequency (%)
2
 
5.9%
2
 
5.9%
2
 
5.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
Other values (21) 21
61.8%

건물용도명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
211 
근린생활시설
 
9
숙박시설
 
1
단독주택
 
1

Length

Max length6
Median length4
Mean length4.0810811
Min length4

Unique

Unique2 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 211
95.0%
근린생활시설 9
 
4.1%
숙박시설 1
 
0.5%
단독주택 1
 
0.5%

Length

2024-05-11T15:09:26.914219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:09:27.086187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 211
95.0%
근린생활시설 9
 
4.1%
숙박시설 1
 
0.5%
단독주택 1
 
0.5%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)53.8%
Missing209
Missing (%)94.1%
Infinite0
Infinite (%)0.0%
Mean3.6153846
Minimum0
Maximum10
Zeros3
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-05-11T15:09:27.235274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q34
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.3301267
Coefficient of variation (CV)0.92109886
Kurtosis0.43766752
Mean3.6153846
Median Absolute Deviation (MAD)2
Skewness0.95814717
Sum47
Variance11.089744
MonotonicityNot monotonic
2024-05-11T15:09:27.419044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 4
 
1.8%
0 3
 
1.4%
10 2
 
0.9%
3 1
 
0.5%
5 1
 
0.5%
1 1
 
0.5%
2 1
 
0.5%
(Missing) 209
94.1%
ValueCountFrequency (%)
0 3
1.4%
1 1
 
0.5%
2 1
 
0.5%
3 1
 
0.5%
4 4
1.8%
5 1
 
0.5%
10 2
0.9%
ValueCountFrequency (%)
10 2
0.9%
5 1
 
0.5%
4 4
1.8%
3 1
 
0.5%
2 1
 
0.5%
1 1
 
0.5%
0 3
1.4%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
212 
1
 
5
0
 
3
2
 
2

Length

Max length4
Median length4
Mean length3.8648649
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> 212
95.5%
1 5
 
2.3%
0 3
 
1.4%
2 2
 
0.9%

Length

2024-05-11T15:09:27.638714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:09:27.852867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 212
95.5%
1 5
 
2.3%
0 3
 
1.4%
2 2
 
0.9%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
217 
0
 
5

Length

Max length4
Median length4
Mean length3.9324324
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> 217
97.7%
0 5
 
2.3%

Length

2024-05-11T15:09:28.053770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:09:28.540625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 217
97.7%
0 5
 
2.3%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
217 
0
 
5

Length

Max length4
Median length4
Mean length3.9324324
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> 217
97.7%
0 5
 
2.3%

Length

2024-05-11T15:09:28.700540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:09:28.851855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 217
97.7%
0 5
 
2.3%

영문상호명
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing216
Missing (%)97.3%
Memory size1.9 KiB
2024-05-11T15:09:29.052653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length9
Min length5

Characters and Unicode

Total characters54
Distinct characters21
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

Unique6 ?
Unique (%)100.0%

Sample

1st rowNisiki
2nd rowchui ryong
3rd rowVigna
4th rowThe Great Wall
5th rowcas antonio
ValueCountFrequency (%)
nisiki 1
10.0%
chui 1
10.0%
ryong 1
10.0%
vigna 1
10.0%
the 1
10.0%
great 1
10.0%
wall 1
10.0%
cas 1
10.0%
antonio 1
10.0%
wangthai 1
10.0%
2024-05-11T15:09:29.490907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 7
13.0%
a 7
13.0%
n 5
 
9.3%
4
 
7.4%
o 3
 
5.6%
t 3
 
5.6%
h 3
 
5.6%
g 3
 
5.6%
W 2
 
3.7%
e 2
 
3.7%
Other values (11) 15
27.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 44
81.5%
Uppercase Letter 6
 
11.1%
Space Separator 4
 
7.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 7
15.9%
a 7
15.9%
n 5
11.4%
o 3
6.8%
t 3
6.8%
h 3
6.8%
g 3
6.8%
e 2
 
4.5%
l 2
 
4.5%
r 2
 
4.5%
Other values (5) 7
15.9%
Uppercase Letter
ValueCountFrequency (%)
W 2
33.3%
V 1
16.7%
T 1
16.7%
G 1
16.7%
N 1
16.7%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 50
92.6%
Common 4
 
7.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 7
14.0%
a 7
14.0%
n 5
 
10.0%
o 3
 
6.0%
t 3
 
6.0%
h 3
 
6.0%
g 3
 
6.0%
W 2
 
4.0%
e 2
 
4.0%
l 2
 
4.0%
Other values (10) 13
26.0%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 54
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 7
13.0%
a 7
13.0%
n 5
 
9.3%
4
 
7.4%
o 3
 
5.6%
t 3
 
5.6%
h 3
 
5.6%
g 3
 
5.6%
W 2
 
3.7%
e 2
 
3.7%
Other values (11) 15
27.8%

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing222
Missing (%)100.0%
Memory size2.1 KiB

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
217 
0
 
5

Length

Max length4
Median length4
Mean length3.9324324
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> 217
97.7%
0 5
 
2.3%

Length

2024-05-11T15:09:29.729757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:09:29.927600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 217
97.7%
0 5
 
2.3%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
217 
0
 
5

Length

Max length4
Median length4
Mean length3.9324324
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> 217
97.7%
0 5
 
2.3%

Length

2024-05-11T15:09:30.121884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:09:30.265012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 217
97.7%
0 5
 
2.3%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing222
Missing (%)100.0%
Memory size2.1 KiB

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
217 
0
 
5

Length

Max length4
Median length4
Mean length3.9324324
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> 217
97.7%
0 5
 
2.3%

Length

2024-05-11T15:09:30.418761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:09:30.566734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 217
97.7%
0 5
 
2.3%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
217 
0
 
5

Length

Max length4
Median length4
Mean length3.9324324
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> 217
97.7%
0 5
 
2.3%

Length

2024-05-11T15:09:30.714004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:09:30.864986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 217
97.7%
0 5
 
2.3%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing222
Missing (%)100.0%
Memory size2.1 KiB

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
217 
0
 
5

Length

Max length4
Median length4
Mean length3.9324324
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> 217
97.7%
0 5
 
2.3%

Length

2024-05-11T15:09:31.038455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:09:31.206806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 217
97.7%
0 5
 
2.3%

시설면적
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing215
Missing (%)96.8%
Infinite0
Infinite (%)0.0%
Mean152.91143
Minimum57.51
Maximum381.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-05-11T15:09:31.327092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57.51
5-th percentile63.972
Q184.125
median124.63
Q3169.025
95-th percentile319.423
Maximum381.94
Range324.43
Interquartile range (IQR)84.9

Descriptive statistics

Standard deviation109.87133
Coefficient of variation (CV)0.71852925
Kurtosis3.8270858
Mean152.91143
Median Absolute Deviation (MAD)45.58
Skewness1.8421564
Sum1070.38
Variance12071.71
MonotonicityNot monotonic
2024-05-11T15:09:31.492725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
57.51 1
 
0.5%
89.2 1
 
0.5%
173.55 1
 
0.5%
124.63 1
 
0.5%
381.94 1
 
0.5%
79.05 1
 
0.5%
164.5 1
 
0.5%
(Missing) 215
96.8%
ValueCountFrequency (%)
57.51 1
0.5%
79.05 1
0.5%
89.2 1
0.5%
124.63 1
0.5%
164.5 1
0.5%
173.55 1
0.5%
381.94 1
0.5%
ValueCountFrequency (%)
381.94 1
0.5%
173.55 1
0.5%
164.5 1
0.5%
124.63 1
0.5%
89.2 1
0.5%
79.05 1
0.5%
57.51 1
0.5%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing222
Missing (%)100.0%
Memory size2.1 KiB

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
217 
0
 
5

Length

Max length4
Median length4
Mean length3.9324324
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> 217
97.7%
0 5
 
2.3%

Length

2024-05-11T15:09:31.670587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:09:31.856259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 217
97.7%
0 5
 
2.3%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing222
Missing (%)100.0%
Memory size2.1 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing222
Missing (%)100.0%
Memory size2.1 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing222
Missing (%)100.0%
Memory size2.1 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing222
Missing (%)100.0%
Memory size2.1 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing222
Missing (%)100.0%
Memory size2.1 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing222
Missing (%)100.0%
Memory size2.1 KiB

자본금
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
217 
0
 
5

Length

Max length4
Median length4
Mean length3.9324324
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> 217
97.7%
0 5
 
2.3%

Length

2024-05-11T15:09:32.093639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:09:32.336512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 217
97.7%
0 5
 
2.3%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing222
Missing (%)100.0%
Memory size2.1 KiB

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing222
Missing (%)100.0%
Memory size2.1 KiB

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing222
Missing (%)100.0%
Memory size2.1 KiB

시설규모
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing215
Missing (%)96.8%
Infinite0
Infinite (%)0.0%
Mean153.14286
Minimum58
Maximum382
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-05-11T15:09:32.479027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum58
5-th percentile64.3
Q184
median125
Q3169.5
95-th percentile319.6
Maximum382
Range324
Interquartile range (IQR)85.5

Descriptive statistics

Standard deviation109.85358
Coefficient of variation (CV)0.7173275
Kurtosis3.8067149
Mean153.14286
Median Absolute Deviation (MAD)46
Skewness1.837927
Sum1072
Variance12067.81
MonotonicityNot monotonic
2024-05-11T15:09:32.627284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
58 1
 
0.5%
89 1
 
0.5%
174 1
 
0.5%
125 1
 
0.5%
382 1
 
0.5%
79 1
 
0.5%
165 1
 
0.5%
(Missing) 215
96.8%
ValueCountFrequency (%)
58 1
0.5%
79 1
0.5%
89 1
0.5%
125 1
0.5%
165 1
0.5%
174 1
0.5%
382 1
0.5%
ValueCountFrequency (%)
382 1
0.5%
174 1
0.5%
165 1
0.5%
125 1
0.5%
89 1
0.5%
79 1
0.5%
58 1
0.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03120000CDFI32610420010000012001-09-10<NA>1영업/정상13영업중<NA><NA><NA><NA>322-7757<NA>120-834서울특별시 서대문구 창천동 72-14번지 캠퍼스프라자 지1층서울특별시 서대문구 신촌로 73 (창천동,캠퍼스프라자 지1층)<NA>(주)아모제마르쉐신촌점2023-03-15 14:58:54D2022-12-02 23:07:00.0<NA>194145.892516450451.593377<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13120000CDFI32610419970000011997-07-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>120-809서울특별시 서대문구 대현동 101-7번지서울특별시 서대문구 신촌역로 10 (대현동)<NA>롸이즈온(주)베니건스이대점2023-03-15 14:58:35D2022-12-02 23:07:00.0<NA>194908.961215450597.757522<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23240000CDFI32610420170000012017-09-18<NA>3폐업3폐업2023-03-09<NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 427-3서울특별시 강동구 올림픽로 660, 지하1층 (천호동, 천호엘크루주상복합)5328아웃백스테이크하우스 천호점2023-03-20 13:47:37U2022-12-02 22:02:00.0<NA>210935.038615448663.480516<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33050000CDFI32610420170000022017-05-182023-08-014취소/말소/만료/정지/중지33지정취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 회기동 16-65 2,3층서울특별시 동대문구 경희대로 3, 2,3층층 (회기동)2454복가주점 제라-1-1555호2023-08-14 15:06:34U2022-12-07 23:07:00.0<NA>204533.900251454400.17782<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43100000CDFI32610420080000032008-09-09<NA>3폐업3폐업2023-06-27<NA><NA><NA>975-8313<NA>139-801서울특별시 노원구 공릉동 312-24서울특별시 노원구 동일로191가길 73 (공릉동)<NA>味차이2023-08-14 15:33:26U2022-12-07 23:07:00.0<NA>206132.909754458436.655271<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53000000CDFI326104200600000120061123<NA>1영업/정상13영업중<NA><NA><NA><NA>02-730-2051<NA>110210서울특별시 종로구 화동 117번지서울특별시 종로구 북촌로 31-22 (화동)<NA>씨제이푸드(주) 에프터더레인 안국점 (정진구)2006-12-06 10:20:54I2018-08-31 23:59:59.0<NA>198494.53693453028.454112관광식당업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63220000CDFI326104200400000220040901<NA>3폐업3폐업20141008<NA><NA><NA>02-3438-6105<NA>135724서울특별시 강남구 압구정동 현대백화점 본점 5층<NA><NA>타이타이압구정2015-09-04 11:35:08I2018-08-31 23:59:59.0<NA><NA><NA>관광식당업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73000000CDFI326104200900000120090413<NA>1영업/정상13영업중<NA><NA><NA><NA>747-2976<NA>110843서울특별시 종로구 창신동 695-1번지 3층서울특별시 종로구 종로 291 (창신동,3층)<NA>안나푸르나(Anna Purna)2009-05-07 11:30:48I2018-08-31 23:59:59.0<NA>200820.411204452168.573384관광식당업<NA><NA><NA><NA><NA><NA><NA>3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83020000CDFI326104200800000320081229<NA>1영업/정상13영업중<NA><NA><NA><NA>749-3336<NA>140863서울특별시 용산구 이태원동 116-15번지 지상1층서울특별시 용산구 이태원로27가길 50 (이태원동,지상1층)<NA>새골목집2009-08-07 09:48:20I2018-08-31 23:59:59.0<NA>199268.825288448094.819005관광식당업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93020000CDFI326104200800000520080929<NA>1영업/정상13영업중<NA><NA><NA><NA>2012-0567<NA>140780서울특별시 용산구 한강로3가 40-999번지 현대아이파크몰 5층 514<NA><NA>쿠아타이2009-08-07 09:57:17I2018-08-31 23:59:59.0<NA>196762.077395447480.039577관광식당업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
2123220000CDFI326104200400000120040509<NA>1영업/정상13영업중<NA><NA><NA><NA>555-05550<NA>135933서울특별시 강남구 역삼동 833번지서울특별시 강남구 역삼로 118 (역삼동)<NA>대려도2011-12-15 11:29:41I2018-08-31 23:59:59.0<NA>202763.197583443461.085901관광식당업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2133220000CDFI326104200500000120050719<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3446-5547<NA>135517서울특별시 강남구 청담동 92-8번지서울특별시 강남구 도산대로 439 (청담동)<NA>(주)뉴후론티어산업 그릴에이치2011-07-11 21:22:28I2018-08-31 23:59:59.0<NA>203799.644023446878.840091관광식당업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2143220000CDFI326104200500000320050930<NA>1영업/정상13영업중<NA><NA><NA><NA>02-516-8837<NA>135888서울특별시 강남구 신사동 525-10번지서울특별시 강남구 논현로175길 107 (신사동)<NA>채운2011-12-16 11:30:35I2018-08-31 23:59:59.0<NA>201771.114257446690.115784관광식당업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2153220000CDFI326104200600000120061030<NA>1영업/정상13영업중<NA><NA><NA><NA>565-3849<NA>135501서울특별시 강남구 대치동 991-2번지 태호빌딩 1층, 지하1층서울특별시 강남구 도곡로 528 (대치동,태호빌딩 1층, 지하1층)<NA>(주)다연외식 현경2011-07-12 17:20:22I2018-08-31 23:59:59.0<NA>205601.464499444158.963703관광식당업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2163220000CDFI326104200600000220061026<NA>1영업/정상13영업중<NA><NA><NA><NA>3452-7500<NA>135880서울특별시 강남구 삼성동 158-10번지 마젤란21아스테리움 B101-B104호서울특별시 강남구 테헤란로87길 17 (삼성동,마젤란21아스테리움 B101-B104호)<NA>(주)바른손 베니건스 테헤란로점2011-07-14 11:05:53I2018-08-31 23:59:59.0<NA>205091.725781445178.072127관광식당업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2173220000CDFI326104200600000420060320<NA>1영업/정상13영업중<NA><NA><NA><NA>549-6858<NA>135818서울특별시 강남구 논현동 83-20번지서울특별시 강남구 학동로37길 23 (논현동)<NA>가향2011-07-14 15:32:41I2018-08-31 23:59:59.0<NA>202962.771934446064.852242관광식당업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2183220000CDFI326104200600000620060725<NA>1영업/정상13영업중<NA><NA><NA><NA>562-5565<NA>135719서울특별시 강남구 역삼동 아세아타워빌딩 지하1층<NA><NA>루안(아세아타워점)2011-12-15 14:21:08I2018-08-31 23:59:59.0<NA><NA><NA>관광식당업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2193220000CDFI326104201000001020100630<NA>1영업/정상13영업중<NA><NA><NA><NA>2127-9835<NA>135896서울특별시 강남구 신사동 646-2번지 지상1층서울특별시 강남구 언주로164길 29 (신사동,지상1층)<NA>더키친살바토레쿠오모압구정점2011-12-15 11:48:53I2018-08-31 23:59:59.0<NA>203114.582053447047.111169관광식당업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2203220000CDFI326104201000000620100128201601184취소/말소/만료/정지/중지33지정취소<NA><NA><NA><NA>552-4442<NA>135935서울특별시 강남구 역삼동 826-26번지 비젼타워 202호서울특별시 강남구 테헤란로2길 27 (역삼동,비젼타워 202호)<NA>까르니두브라질(강남점)2016-01-27 15:15:47I2018-08-31 23:59:59.0<NA>202550.921889443816.873367관광식당업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2213110000CDFI326104201000000120100111<NA>3폐업3폐업20221202<NA><NA><NA>02-383-5724<NA>122834서울특별시 은평구 녹번동 156-46 지상2,3층서울특별시 은평구 은평로13길 11-12 (녹번동,지상2,3층)<NA>(주)차이니즈푸드리우 초유향2022-12-09 13:32:00U2021-11-01 23:01:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>