Overview

Dataset statistics

Number of variables29
Number of observations147
Missing cells1360
Missing cells (%)31.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory35.6 KiB
Average record size in memory247.9 B

Variable types

Categorical8
Text7
DateTime2
Numeric6
Unsupported6

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),비상시설위치,시설구분명,시설명_건물명,해제일자
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-20026/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 58 (39.5%) missing valuesMissing
폐업일자 has 58 (39.5%) missing valuesMissing
휴업시작일자 has 147 (100.0%) missing valuesMissing
휴업종료일자 has 147 (100.0%) missing valuesMissing
재개업일자 has 147 (100.0%) missing valuesMissing
전화번호 has 147 (100.0%) missing valuesMissing
소재지우편번호 has 147 (100.0%) missing valuesMissing
도로명주소 has 69 (46.9%) missing valuesMissing
도로명우편번호 has 69 (46.9%) missing valuesMissing
업태구분명 has 147 (100.0%) missing valuesMissing
좌표정보(X) has 67 (45.6%) missing valuesMissing
좌표정보(Y) has 67 (45.6%) missing valuesMissing
비상시설위치 has 15 (10.2%) missing valuesMissing
시설명_건물명 has 15 (10.2%) missing valuesMissing
해제일자 has 60 (40.8%) missing valuesMissing
관리번호 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
전화번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 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

Reproduction

Analysis started2024-05-11 08:05:45.077275
Analysis finished2024-05-11 08:05:46.520759
Duration1.44 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
3240000
147 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3240000
2nd row3240000
3rd row3240000
4th row3240000
5th row3240000

Common Values

ValueCountFrequency (%)
3240000 147
100.0%

Length

2024-05-11T08:05:46.779846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:05:47.176486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 147
100.0%

관리번호
Text

UNIQUE 

Distinct147
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-05-11T08:05:47.727510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters2646
Distinct characters12
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

Unique147 ?
Unique (%)100.0%

Sample

1st row3240000-E198000001
2nd row3240000-E198100001
3rd row3240000-E198300002
4th row3240000-E198300004
5th row3240000-E198400002
ValueCountFrequency (%)
3240000-e198000001 1
 
0.7%
3240000-e200500006 1
 
0.7%
3240000-e200600016 1
 
0.7%
3240000-e200600010 1
 
0.7%
3240000-e200600011 1
 
0.7%
3240000-e200600012 1
 
0.7%
3240000-e200600013 1
 
0.7%
3240000-e200600014 1
 
0.7%
3240000-e200600015 1
 
0.7%
3240000-e200600017 1
 
0.7%
Other values (137) 137
93.2%
2024-05-11T08:05:48.784520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1334
50.4%
2 293
 
11.1%
3 182
 
6.9%
4 176
 
6.7%
1 150
 
5.7%
- 147
 
5.6%
E 147
 
5.6%
9 101
 
3.8%
6 39
 
1.5%
5 32
 
1.2%
Other values (2) 45
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2352
88.9%
Dash Punctuation 147
 
5.6%
Uppercase Letter 147
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1334
56.7%
2 293
 
12.5%
3 182
 
7.7%
4 176
 
7.5%
1 150
 
6.4%
9 101
 
4.3%
6 39
 
1.7%
5 32
 
1.4%
8 31
 
1.3%
7 14
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 147
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 147
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2499
94.4%
Latin 147
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1334
53.4%
2 293
 
11.7%
3 182
 
7.3%
4 176
 
7.0%
1 150
 
6.0%
- 147
 
5.9%
9 101
 
4.0%
6 39
 
1.6%
5 32
 
1.3%
8 31
 
1.2%
Latin
ValueCountFrequency (%)
E 147
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2646
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1334
50.4%
2 293
 
11.1%
3 182
 
6.9%
4 176
 
6.7%
1 150
 
5.7%
- 147
 
5.6%
E 147
 
5.6%
9 101
 
3.8%
6 39
 
1.5%
5 32
 
1.2%
Other values (2) 45
 
1.7%

인허가일자
Date

Distinct62
Distinct (%)42.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum1980-12-04 00:00:00
Maximum2023-09-21 00:00:00
2024-05-11T08:05:49.368546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:05:49.852608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)51.7%
Missing58
Missing (%)39.5%
Infinite0
Infinite (%)0.0%
Mean20097938
Minimum20030825
Maximum20221219
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T08:05:50.286719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030825
5-th percentile20040514
Q120060102
median20061031
Q320151215
95-th percentile20210630
Maximum20221219
Range190394
Interquartile range (IQR)91113

Descriptive statistics

Standard deviation56110.996
Coefficient of variation (CV)0.0027918782
Kurtosis-0.74553788
Mean20097938
Median Absolute Deviation (MAD)19587
Skewness0.83469351
Sum1.7887165 × 109
Variance3.1484439 × 109
MonotonicityNot monotonic
2024-05-11T08:05:50.817009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
20060102 14
 
9.5%
20061031 11
 
7.5%
20051102 7
 
4.8%
20080618 4
 
2.7%
20100101 4
 
2.7%
20160715 4
 
2.7%
20210701 2
 
1.4%
20050322 2
 
1.4%
20170623 2
 
1.4%
20040514 2
 
1.4%
Other values (36) 37
25.2%
(Missing) 58
39.5%
ValueCountFrequency (%)
20030825 1
0.7%
20031110 1
0.7%
20031231 1
0.7%
20040416 1
0.7%
20040514 2
1.4%
20050103 1
0.7%
20050311 1
0.7%
20050322 2
1.4%
20050323 1
0.7%
20050526 1
0.7%
ValueCountFrequency (%)
20221219 1
0.7%
20221115 1
0.7%
20210705 1
0.7%
20210701 2
1.4%
20210524 1
0.7%
20200323 1
0.7%
20190517 1
0.7%
20190211 1
0.7%
20180419 1
0.7%
20180101 1
0.7%

영업상태코드
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
4
89 
1
58 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
4 89
60.5%
1 58
39.5%

Length

2024-05-11T08:05:51.311677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:05:51.683880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 89
60.5%
1 58
39.5%

영업상태명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
취소/말소/만료/정지/중지
89 
영업/정상
58 

Length

Max length14
Median length14
Mean length10.44898
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
취소/말소/만료/정지/중지 89
60.5%
영업/정상 58
39.5%

Length

2024-05-11T08:05:51.996859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:05:52.293934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취소/말소/만료/정지/중지 89
60.5%
영업/정상 58
39.5%

상세영업상태코드
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
19
89 
18
58 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row19
2nd row19
3rd row19
4th row19
5th row19

Common Values

ValueCountFrequency (%)
19 89
60.5%
18 58
39.5%

Length

2024-05-11T08:05:52.682937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:05:53.094021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19 89
60.5%
18 58
39.5%

상세영업상태명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
사용중지
89 
사용중
58 

Length

Max length4
Median length4
Mean length3.6054422
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용중지 89
60.5%
사용중 58
39.5%

Length

2024-05-11T08:05:53.495319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:05:53.818511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중지 89
60.5%
사용중 58
39.5%

폐업일자
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)51.7%
Missing58
Missing (%)39.5%
Infinite0
Infinite (%)0.0%
Mean20097938
Minimum20030825
Maximum20221219
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T08:05:54.232361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030825
5-th percentile20040514
Q120060102
median20061031
Q320151215
95-th percentile20210630
Maximum20221219
Range190394
Interquartile range (IQR)91113

Descriptive statistics

Standard deviation56110.996
Coefficient of variation (CV)0.0027918782
Kurtosis-0.74553788
Mean20097938
Median Absolute Deviation (MAD)19587
Skewness0.83469351
Sum1.7887165 × 109
Variance3.1484439 × 109
MonotonicityNot monotonic
2024-05-11T08:05:54.821500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
20060102 14
 
9.5%
20061031 11
 
7.5%
20051102 7
 
4.8%
20080618 4
 
2.7%
20100101 4
 
2.7%
20160715 4
 
2.7%
20210701 2
 
1.4%
20050322 2
 
1.4%
20170623 2
 
1.4%
20040514 2
 
1.4%
Other values (36) 37
25.2%
(Missing) 58
39.5%
ValueCountFrequency (%)
20030825 1
0.7%
20031110 1
0.7%
20031231 1
0.7%
20040416 1
0.7%
20040514 2
1.4%
20050103 1
0.7%
20050311 1
0.7%
20050322 2
1.4%
20050323 1
0.7%
20050526 1
0.7%
ValueCountFrequency (%)
20221219 1
0.7%
20221115 1
0.7%
20210705 1
0.7%
20210701 2
1.4%
20210524 1
0.7%
20200323 1
0.7%
20190517 1
0.7%
20190211 1
0.7%
20180419 1
0.7%
20180101 1
0.7%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

소재지면적
Real number (ℝ)

Distinct61
Distinct (%)41.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean697.26401
Minimum0
Maximum60000
Zeros1
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T08:05:55.268804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile43
Q168.5
median95
Q3216
95-th percentile447.4
Maximum60000
Range60000
Interquartile range (IQR)147.5

Descriptive statistics

Standard deviation5179.3185
Coefficient of variation (CV)7.4280593
Kurtosis120.83144
Mean697.26401
Median Absolute Deviation (MAD)35
Skewness10.753003
Sum102497.81
Variance26825340
MonotonicityNot monotonic
2024-05-11T08:05:55.807687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
288.0 13
 
8.8%
80.0 9
 
6.1%
95.0 9
 
6.1%
216.0 7
 
4.8%
43.0 7
 
4.8%
86.0 7
 
4.8%
50.0 6
 
4.1%
200.0 5
 
3.4%
65.0 5
 
3.4%
63.0 5
 
3.4%
Other values (51) 74
50.3%
ValueCountFrequency (%)
0.0 1
 
0.7%
30.0 1
 
0.7%
39.0 1
 
0.7%
40.0 1
 
0.7%
41.0 2
 
1.4%
43.0 7
4.8%
50.0 6
4.1%
54.7 1
 
0.7%
55.0 1
 
0.7%
60.0 3
2.0%
ValueCountFrequency (%)
60000.0 1
0.7%
19477.0 1
0.7%
1900.0 1
0.7%
604.0 1
0.7%
583.0 1
0.7%
490.0 2
1.4%
454.0 1
0.7%
432.0 1
0.7%
360.0 2
1.4%
357.0 1
0.7%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

지번주소
Text

Distinct140
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-05-11T08:05:56.684522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length28
Mean length20.265306
Min length6

Characters and Unicode

Total characters2979
Distinct characters89
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique133 ?
Unique (%)90.5%

Sample

1st row서울특별시 강동구 암사동 414
2nd row하일동 362-52
3rd row상일동 134
4th row서울특별시 강동구 상일동 131번지 주공아파트 5단지
5th row서울특별시 강동구 고덕동 217번지
ValueCountFrequency (%)
서울특별시 127
19.4%
강동구 127
19.4%
상일동 23
 
3.5%
둔촌동 22
 
3.4%
고덕동 20
 
3.1%
호 20
 
3.1%
성내동 18
 
2.7%
길동 15
 
2.3%
천호동 13
 
2.0%
명일동 11
 
1.7%
Other values (175) 259
39.5%
2024-05-11T08:05:58.282290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
586
19.7%
동 276
 
9.3%
강 132
 
4.4%
서 128
 
4.3%
특 127
 
4.3%
별 127
 
4.3%
시 127
 
4.3%
구 127
 
4.3%
울 127
 
4.3%
지 118
 
4.0%
Other values (79) 1104
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1846
62.0%
Space Separator 586
 
19.7%
Decimal Number 525
 
17.6%
Dash Punctuation 16
 
0.5%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 276
15.0%
강 132
 
7.2%
서 128
 
6.9%
특 127
 
6.9%
별 127
 
6.9%
시 127
 
6.9%
구 127
 
6.9%
울 127
 
6.9%
지 118
 
6.4%
번 113
 
6.1%
Other values (65) 444
24.1%
Decimal Number
ValueCountFrequency (%)
1 105
20.0%
4 76
14.5%
2 69
13.1%
3 65
12.4%
5 55
10.5%
7 44
8.4%
9 34
 
6.5%
0 29
 
5.5%
6 26
 
5.0%
8 22
 
4.2%
Space Separator
ValueCountFrequency (%)
586
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1846
62.0%
Common 1133
38.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 276
15.0%
강 132
 
7.2%
서 128
 
6.9%
특 127
 
6.9%
별 127
 
6.9%
시 127
 
6.9%
구 127
 
6.9%
울 127
 
6.9%
지 118
 
6.4%
번 113
 
6.1%
Other values (65) 444
24.1%
Common
ValueCountFrequency (%)
586
51.7%
1 105
 
9.3%
4 76
 
6.7%
2 69
 
6.1%
3 65
 
5.7%
5 55
 
4.9%
7 44
 
3.9%
9 34
 
3.0%
0 29
 
2.6%
6 26
 
2.3%
Other values (4) 44
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1846
62.0%
ASCII 1133
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
586
51.7%
1 105
 
9.3%
4 76
 
6.7%
2 69
 
6.1%
3 65
 
5.7%
5 55
 
4.9%
7 44
 
3.9%
9 34
 
3.0%
0 29
 
2.6%
6 26
 
2.3%
Other values (4) 44
 
3.9%
Hangul
ValueCountFrequency (%)
동 276
15.0%
강 132
 
7.2%
서 128
 
6.9%
특 127
 
6.9%
별 127
 
6.9%
시 127
 
6.9%
구 127
 
6.9%
울 127
 
6.9%
지 118
 
6.4%
번 113
 
6.1%
Other values (65) 444
24.1%

도로명주소
Text

MISSING 

Distinct73
Distinct (%)93.6%
Missing69
Missing (%)46.9%
Memory size1.3 KiB
2024-05-11T08:05:59.158064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length33
Mean length28.602564
Min length22

Characters and Unicode

Total characters2231
Distinct characters123
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

Unique68 ?
Unique (%)87.2%

Sample

1st row서울특별시 강동구 고덕로 313 (고덕동)
2nd row서울특별시 강동구 상암로 309 (상일동)
3rd row서울특별시 강동구 고덕로80길 13 (상일동, 364동 앞)
4th row서울특별시 강동구 양재대로 1329 (성내동)
5th row서울특별시 강동구 상암로 325 (상일동, 삼성빌라)
ValueCountFrequency (%)
서울특별시 78
18.5%
강동구 78
18.5%
고덕동 18
 
4.3%
상일동 15
 
3.6%
둔촌동 11
 
2.6%
고덕로 11
 
2.6%
성내동 7
 
1.7%
명일동 7
 
1.7%
상암로 7
 
1.7%
길동 6
 
1.4%
Other values (141) 184
43.6%
2024-05-11T08:06:00.605790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
346
 
15.5%
동 174
 
7.8%
강 84
 
3.8%
시 83
 
3.7%
구 82
 
3.7%
서 79
 
3.5%
울 78
 
3.5%
) 78
 
3.5%
( 78
 
3.5%
로 78
 
3.5%
Other values (113) 1071
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1385
62.1%
Space Separator 346
 
15.5%
Decimal Number 299
 
13.4%
Close Punctuation 78
 
3.5%
Open Punctuation 78
 
3.5%
Other Punctuation 33
 
1.5%
Dash Punctuation 10
 
0.4%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 174
 
12.6%
강 84
 
6.1%
시 83
 
6.0%
구 82
 
5.9%
서 79
 
5.7%
울 78
 
5.6%
로 78
 
5.6%
별 78
 
5.6%
특 78
 
5.6%
고 46
 
3.3%
Other values (96) 525
37.9%
Decimal Number
ValueCountFrequency (%)
1 52
17.4%
3 44
14.7%
5 37
12.4%
2 30
10.0%
6 28
9.4%
9 25
8.4%
8 25
8.4%
4 22
7.4%
7 21
7.0%
0 15
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
G 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
346
100.0%
Close Punctuation
ValueCountFrequency (%)
) 78
100.0%
Open Punctuation
ValueCountFrequency (%)
( 78
100.0%
Other Punctuation
ValueCountFrequency (%)
, 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1385
62.1%
Common 844
37.8%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 174
 
12.6%
강 84
 
6.1%
시 83
 
6.0%
구 82
 
5.9%
서 79
 
5.7%
울 78
 
5.6%
로 78
 
5.6%
별 78
 
5.6%
특 78
 
5.6%
고 46
 
3.3%
Other values (96) 525
37.9%
Common
ValueCountFrequency (%)
346
41.0%
) 78
 
9.2%
( 78
 
9.2%
1 52
 
6.2%
3 44
 
5.2%
5 37
 
4.4%
, 33
 
3.9%
2 30
 
3.6%
6 28
 
3.3%
9 25
 
3.0%
Other values (5) 93
 
11.0%
Latin
ValueCountFrequency (%)
G 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1385
62.1%
ASCII 846
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
346
40.9%
) 78
 
9.2%
( 78
 
9.2%
1 52
 
6.1%
3 44
 
5.2%
5 37
 
4.4%
, 33
 
3.9%
2 30
 
3.5%
6 28
 
3.3%
9 25
 
3.0%
Other values (7) 95
 
11.2%
Hangul
ValueCountFrequency (%)
동 174
 
12.6%
강 84
 
6.1%
시 83
 
6.0%
구 82
 
5.9%
서 79
 
5.7%
울 78
 
5.6%
로 78
 
5.6%
별 78
 
5.6%
특 78
 
5.6%
고 46
 
3.3%
Other values (96) 525
37.9%

도로명우편번호
Text

MISSING 

Distinct58
Distinct (%)74.4%
Missing69
Missing (%)46.9%
Memory size1.3 KiB
2024-05-11T08:06:01.334960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.4871795
Min length5

Characters and Unicode

Total characters428
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

Unique45 ?
Unique (%)57.7%

Sample

1st row134757
2nd row134837
3rd row134707
4th row05405
5th row05280
ValueCountFrequency (%)
05204 4
 
5.1%
134837 4
 
5.1%
05280 3
 
3.8%
134803 3
 
3.8%
134825 3
 
3.8%
05358 2
 
2.6%
05224 2
 
2.6%
134818 2
 
2.6%
05413 2
 
2.6%
05275 2
 
2.6%
Other values (48) 51
65.4%
2024-05-11T08:06:03.296470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 71
16.6%
3 61
14.3%
5 59
13.8%
4 56
13.1%
1 51
11.9%
8 41
9.6%
2 38
8.9%
7 25
 
5.8%
9 12
 
2.8%
6 12
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 426
99.5%
Dash Punctuation 2
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 71
16.7%
3 61
14.3%
5 59
13.8%
4 56
13.1%
1 51
12.0%
8 41
9.6%
2 38
8.9%
7 25
 
5.9%
9 12
 
2.8%
6 12
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 428
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 71
16.6%
3 61
14.3%
5 59
13.8%
4 56
13.1%
1 51
11.9%
8 41
9.6%
2 38
8.9%
7 25
 
5.8%
9 12
 
2.8%
6 12
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 428
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 71
16.6%
3 61
14.3%
5 59
13.8%
4 56
13.1%
1 51
11.9%
8 41
9.6%
2 38
8.9%
7 25
 
5.8%
9 12
 
2.8%
6 12
 
2.8%

사업장명
Text

Distinct140
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-05-11T08:06:04.376811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length15
Mean length7.1156463
Min length3

Characters and Unicode

Total characters1046
Distinct characters228
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique133 ?
Unique (%)90.5%

Sample

1st row강동아파트 24동앞
2nd row동사무소
3rd row주공아파트 4단지
4th row주공아파트 5단지
5th row주공아파트 2단지 상가옆
ValueCountFrequency (%)
주공아파트 5
 
2.7%
남성사우나 2
 
1.1%
건강사우나 2
 
1.1%
고덕그라시움 2
 
1.1%
2단지 2
 
1.1%
서울시 2
 
1.1%
시설관리공단 2
 
1.1%
신동아아파트 2
 
1.1%
앞 2
 
1.1%
삼성빌라 2
 
1.1%
Other values (158) 163
87.6%
2024-05-11T08:06:05.604570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39
 
3.7%
동 34
 
3.3%
주 32
 
3.1%
) 30
 
2.9%
( 30
 
2.9%
사 25
 
2.4%
우 23
 
2.2%
공 23
 
2.2%
아 22
 
2.1%
지 20
 
1.9%
Other values (218) 768
73.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 908
86.8%
Space Separator 39
 
3.7%
Decimal Number 36
 
3.4%
Close Punctuation 30
 
2.9%
Open Punctuation 30
 
2.9%
Uppercase Letter 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 34
 
3.7%
주 32
 
3.5%
사 25
 
2.8%
우 23
 
2.5%
공 23
 
2.5%
아 22
 
2.4%
지 20
 
2.2%
성 19
 
2.1%
고 19
 
2.1%
나 19
 
2.1%
Other values (203) 672
74.0%
Decimal Number
ValueCountFrequency (%)
1 9
25.0%
2 7
19.4%
4 6
16.7%
5 5
13.9%
3 4
11.1%
6 2
 
5.6%
8 1
 
2.8%
0 1
 
2.8%
7 1
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
G 1
33.3%
P 1
33.3%
L 1
33.3%
Space Separator
ValueCountFrequency (%)
39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 908
86.8%
Common 135
 
12.9%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 34
 
3.7%
주 32
 
3.5%
사 25
 
2.8%
우 23
 
2.5%
공 23
 
2.5%
아 22
 
2.4%
지 20
 
2.2%
성 19
 
2.1%
고 19
 
2.1%
나 19
 
2.1%
Other values (203) 672
74.0%
Common
ValueCountFrequency (%)
39
28.9%
) 30
22.2%
( 30
22.2%
1 9
 
6.7%
2 7
 
5.2%
4 6
 
4.4%
5 5
 
3.7%
3 4
 
3.0%
6 2
 
1.5%
8 1
 
0.7%
Other values (2) 2
 
1.5%
Latin
ValueCountFrequency (%)
G 1
33.3%
P 1
33.3%
L 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 908
86.8%
ASCII 138
 
13.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39
28.3%
) 30
21.7%
( 30
21.7%
1 9
 
6.5%
2 7
 
5.1%
4 6
 
4.3%
5 5
 
3.6%
3 4
 
2.9%
6 2
 
1.4%
G 1
 
0.7%
Other values (5) 5
 
3.6%
Hangul
ValueCountFrequency (%)
동 34
 
3.7%
주 32
 
3.5%
사 25
 
2.8%
우 23
 
2.5%
공 23
 
2.5%
아 22
 
2.4%
지 20
 
2.2%
성 19
 
2.1%
고 19
 
2.1%
나 19
 
2.1%
Other values (203) 672
74.0%

최종수정일자
Date

Distinct117
Distinct (%)79.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2003-08-25 00:00:00
Maximum2024-02-23 14:12:16
2024-05-11T08:06:06.145196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:06:06.684970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
I
84 
U
63 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 84
57.1%
U 63
42.9%

Length

2024-05-11T08:06:07.139771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:06:07.481407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 84
57.1%
u 63
42.9%

데이터갱신일자
Categorical

Distinct21
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2018-08-31 23:59:59.0
80 
2021-10-16 02:40:00.0
37 
2019-02-15 02:40:00.0
 
7
2021-11-01 22:01:00.0
 
5
2021-07-03 02:40:00.0
 
2
Other values (16)
16 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique16 ?
Unique (%)10.9%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 80
54.4%
2021-10-16 02:40:00.0 37
25.2%
2019-02-15 02:40:00.0 7
 
4.8%
2021-11-01 22:01:00.0 5
 
3.4%
2021-07-03 02:40:00.0 2
 
1.4%
2020-03-25 02:40:00.0 1
 
0.7%
2021-07-07 02:40:00.0 1
 
0.7%
2021-05-26 02:40:00.0 1
 
0.7%
2020-01-23 02:40:00.0 1
 
0.7%
2021-12-07 00:02:00.0 1
 
0.7%
Other values (11) 11
 
7.5%

Length

2024-05-11T08:06:07.973722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 80
27.2%
23:59:59.0 80
27.2%
02:40:00.0 51
17.3%
2021-10-16 37
12.6%
2019-02-15 7
 
2.4%
2021-11-01 5
 
1.7%
22:01:00.0 5
 
1.7%
00:02:00.0 2
 
0.7%
2021-10-31 2
 
0.7%
23:07:00.0 2
 
0.7%
Other values (19) 23
 
7.8%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct73
Distinct (%)91.2%
Missing67
Missing (%)45.6%
Infinite0
Infinite (%)0.0%
Mean213320.22
Minimum211115.57
Maximum215320.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T08:06:08.520487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum211115.57
5-th percentile211356.9
Q1212641.85
median213262.62
Q3214252.75
95-th percentile214961.2
Maximum215320.02
Range4204.459
Interquartile range (IQR)1610.8969

Descriptive statistics

Standard deviation1129.8264
Coefficient of variation (CV)0.0052963868
Kurtosis-0.85089037
Mean213320.22
Median Absolute Deviation (MAD)727.18885
Skewness-0.097777861
Sum17065617
Variance1276507.6
MonotonicityNot monotonic
2024-05-11T08:06:09.098725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
214864.335921963 2
 
1.4%
213913.807978563 2
 
1.4%
214866.322882804 2
 
1.4%
212841.123208028 2
 
1.4%
212662.113210087 2
 
1.4%
213908.326305095 2
 
1.4%
214687.925330994 2
 
1.4%
213387.755157576 1
 
0.7%
212869.415113466 1
 
0.7%
214897.601169161 1
 
0.7%
Other values (63) 63
42.9%
(Missing) 67
45.6%
ValueCountFrequency (%)
211115.565193338 1
0.7%
211161.286678064 1
0.7%
211260.202994668 1
0.7%
211349.725354409 1
0.7%
211357.277315132 1
0.7%
211454.628342644 1
0.7%
211576.618531569 1
0.7%
211679.515691019 1
0.7%
211707.715344131 1
0.7%
211789.003856971 1
0.7%
ValueCountFrequency (%)
215320.024234376 1
0.7%
215282.849907053 1
0.7%
215223.604630417 1
0.7%
215008.531272849 1
0.7%
214958.713997465 1
0.7%
214953.780958725 1
0.7%
214897.601169161 1
0.7%
214866.322882804 2
1.4%
214864.335921963 2
1.4%
214758.526480678 1
0.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct73
Distinct (%)91.2%
Missing67
Missing (%)45.6%
Infinite0
Infinite (%)0.0%
Mean449457.05
Minimum446519.43
Maximum452101.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T08:06:09.505388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446519.43
5-th percentile447004.68
Q1448380.98
median449826.76
Q3450473.79
95-th percentile451223.28
Maximum452101.31
Range5581.8769
Interquartile range (IQR)2092.8028

Descriptive statistics

Standard deviation1380.8937
Coefficient of variation (CV)0.0030723597
Kurtosis-0.78368091
Mean449457.05
Median Absolute Deviation (MAD)800.19214
Skewness-0.54223787
Sum35956564
Variance1906867.5
MonotonicityNot monotonic
2024-05-11T08:06:10.018448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450439.729004039 2
 
1.4%
449385.615249391 2
 
1.4%
449869.026666 2
 
1.4%
451370.778398596 2
 
1.4%
447366.805982929 2
 
1.4%
450872.909067608 2
 
1.4%
450626.949692536 2
 
1.4%
450653.260713631 1
 
0.7%
450432.213908072 1
 
0.7%
450903.257819168 1
 
0.7%
Other values (63) 63
42.9%
(Missing) 67
45.6%
ValueCountFrequency (%)
446519.434702727 1
0.7%
446680.303498539 1
0.7%
446859.875435823 1
0.7%
447002.6061519 1
0.7%
447004.792807809 1
0.7%
447051.598623403 1
0.7%
447186.926304298 1
0.7%
447191.452672555 1
0.7%
447366.805982929 2
1.4%
447477.826570271 1
0.7%
ValueCountFrequency (%)
452101.311643466 1
0.7%
451370.778398596 2
1.4%
451268.594181235 1
0.7%
451220.890317593 1
0.7%
451213.734740124 1
0.7%
451087.389565288 1
0.7%
450945.408651477 1
0.7%
450903.257819168 1
0.7%
450872.909067608 2
1.4%
450827.270292439 1
0.7%

비상시설위치
Text

MISSING 

Distinct127
Distinct (%)96.2%
Missing15
Missing (%)10.2%
Memory size1.3 KiB
2024-05-11T08:06:10.959754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length28
Mean length20.25
Min length6

Characters and Unicode

Total characters2673
Distinct characters84
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)92.4%

Sample

1st row서울특별시 강동구 암사동 414
2nd row하일동 362-52
3rd row상일동 134
4th row서울특별시 강동구 상일동 131번지 주공아파트 5단지
5th row서울특별시 강동구 고덕동 217번지
ValueCountFrequency (%)
서울특별시 112
19.0%
강동구 112
19.0%
둔촌동 20
 
3.4%
호 20
 
3.4%
상일동 20
 
3.4%
성내동 17
 
2.9%
고덕동 17
 
2.9%
길동 14
 
2.4%
천호동 13
 
2.2%
명일동 9
 
1.5%
Other values (159) 236
40.0%
2024-05-11T08:06:12.366385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
536
20.1%
동 246
 
9.2%
강 115
 
4.3%
서 113
 
4.2%
특 112
 
4.2%
별 112
 
4.2%
시 112
 
4.2%
구 112
 
4.2%
울 112
 
4.2%
지 107
 
4.0%
Other values (74) 996
37.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1637
61.2%
Space Separator 536
 
20.1%
Decimal Number 479
 
17.9%
Dash Punctuation 15
 
0.6%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 246
15.0%
강 115
 
7.0%
서 113
 
6.9%
특 112
 
6.8%
별 112
 
6.8%
시 112
 
6.8%
구 112
 
6.8%
울 112
 
6.8%
지 107
 
6.5%
번 104
 
6.4%
Other values (60) 392
23.9%
Decimal Number
ValueCountFrequency (%)
1 96
20.0%
4 72
15.0%
2 65
13.6%
3 59
12.3%
5 51
10.6%
7 36
 
7.5%
9 32
 
6.7%
0 27
 
5.6%
6 23
 
4.8%
8 18
 
3.8%
Space Separator
ValueCountFrequency (%)
536
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1637
61.2%
Common 1036
38.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 246
15.0%
강 115
 
7.0%
서 113
 
6.9%
특 112
 
6.8%
별 112
 
6.8%
시 112
 
6.8%
구 112
 
6.8%
울 112
 
6.8%
지 107
 
6.5%
번 104
 
6.4%
Other values (60) 392
23.9%
Common
ValueCountFrequency (%)
536
51.7%
1 96
 
9.3%
4 72
 
6.9%
2 65
 
6.3%
3 59
 
5.7%
5 51
 
4.9%
7 36
 
3.5%
9 32
 
3.1%
0 27
 
2.6%
6 23
 
2.2%
Other values (4) 39
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1637
61.2%
ASCII 1036
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
536
51.7%
1 96
 
9.3%
4 72
 
6.9%
2 65
 
6.3%
3 59
 
5.7%
5 51
 
4.9%
7 36
 
3.5%
9 32
 
3.1%
0 27
 
2.6%
6 23
 
2.2%
Other values (4) 39
 
3.8%
Hangul
ValueCountFrequency (%)
동 246
15.0%
강 115
 
7.0%
서 113
 
6.9%
특 112
 
6.8%
별 112
 
6.8%
시 112
 
6.8%
구 112
 
6.8%
울 112
 
6.8%
지 107
 
6.5%
번 104
 
6.4%
Other values (60) 392
23.9%

시설구분명
Categorical

Distinct5
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
민간시설
96 
공공시설
26 
<NA>
15 
정부지원시설
 
7
자치단체자체시설
 
3

Length

Max length8
Median length4
Mean length4.1768707
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row정부지원시설
2nd row정부지원시설
3rd row민간시설
4th row민간시설
5th row정부지원시설

Common Values

ValueCountFrequency (%)
민간시설 96
65.3%
공공시설 26
 
17.7%
<NA> 15
 
10.2%
정부지원시설 7
 
4.8%
자치단체자체시설 3
 
2.0%

Length

2024-05-11T08:06:13.077152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:06:13.646726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간시설 96
65.3%
공공시설 26
 
17.7%
na 15
 
10.2%
정부지원시설 7
 
4.8%
자치단체자체시설 3
 
2.0%

시설명_건물명
Text

MISSING 

Distinct125
Distinct (%)94.7%
Missing15
Missing (%)10.2%
Memory size1.3 KiB
2024-05-11T08:06:14.399843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length15
Mean length6.9848485
Min length3

Characters and Unicode

Total characters922
Distinct characters217
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique118 ?
Unique (%)89.4%

Sample

1st row강동아파트 24동앞
2nd row동사무소
3rd row주공아파트 4단지
4th row주공아파트 5단지
5th row주공아파트 2단지 상가옆
ValueCountFrequency (%)
주공아파트 5
 
3.1%
건강사우나 2
 
1.2%
암사재활원 2
 
1.2%
서울시 2
 
1.2%
시설관리공단 2
 
1.2%
동부빌딩 2
 
1.2%
신동아아파트 2
 
1.2%
남성사우나 2
 
1.2%
고덕가든 2
 
1.2%
한주농원 2
 
1.2%
Other values (136) 137
85.6%
2024-05-11T08:06:15.681216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 31
 
3.4%
( 30
 
3.3%
) 30
 
3.3%
28
 
3.0%
동 27
 
2.9%
사 24
 
2.6%
우 23
 
2.5%
공 22
 
2.4%
아 20
 
2.2%
나 18
 
2.0%
Other values (207) 669
72.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 809
87.7%
Open Punctuation 30
 
3.3%
Close Punctuation 30
 
3.3%
Space Separator 28
 
3.0%
Decimal Number 22
 
2.4%
Uppercase Letter 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 31
 
3.8%
동 27
 
3.3%
사 24
 
3.0%
우 23
 
2.8%
공 22
 
2.7%
아 20
 
2.5%
나 18
 
2.2%
지 16
 
2.0%
성 15
 
1.9%
고 15
 
1.9%
Other values (193) 598
73.9%
Decimal Number
ValueCountFrequency (%)
4 5
22.7%
2 5
22.7%
5 3
13.6%
3 3
13.6%
1 2
 
9.1%
6 2
 
9.1%
8 1
 
4.5%
7 1
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
L 1
33.3%
P 1
33.3%
G 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Space Separator
ValueCountFrequency (%)
28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 809
87.7%
Common 110
 
11.9%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 31
 
3.8%
동 27
 
3.3%
사 24
 
3.0%
우 23
 
2.8%
공 22
 
2.7%
아 20
 
2.5%
나 18
 
2.2%
지 16
 
2.0%
성 15
 
1.9%
고 15
 
1.9%
Other values (193) 598
73.9%
Common
ValueCountFrequency (%)
( 30
27.3%
) 30
27.3%
28
25.5%
4 5
 
4.5%
2 5
 
4.5%
5 3
 
2.7%
3 3
 
2.7%
1 2
 
1.8%
6 2
 
1.8%
8 1
 
0.9%
Latin
ValueCountFrequency (%)
L 1
33.3%
P 1
33.3%
G 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 809
87.7%
ASCII 113
 
12.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 31
 
3.8%
동 27
 
3.3%
사 24
 
3.0%
우 23
 
2.8%
공 22
 
2.7%
아 20
 
2.5%
나 18
 
2.2%
지 16
 
2.0%
성 15
 
1.9%
고 15
 
1.9%
Other values (193) 598
73.9%
ASCII
ValueCountFrequency (%)
( 30
26.5%
) 30
26.5%
28
24.8%
4 5
 
4.4%
2 5
 
4.4%
5 3
 
2.7%
3 3
 
2.7%
1 2
 
1.8%
6 2
 
1.8%
L 1
 
0.9%
Other values (4) 4
 
3.5%

해제일자
Real number (ℝ)

MISSING 

Distinct44
Distinct (%)50.6%
Missing60
Missing (%)40.8%
Infinite0
Infinite (%)0.0%
Mean20095106
Minimum20030825
Maximum20210705
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T08:06:16.285456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030825
5-th percentile20040514
Q120060102
median20061031
Q320140466
95-th percentile20197381
Maximum20210705
Range179880
Interquartile range (IQR)80363.5

Descriptive statistics

Standard deviation53482.703
Coefficient of variation (CV)0.002661479
Kurtosis-0.70809304
Mean20095106
Median Absolute Deviation (MAD)19587
Skewness0.85847443
Sum1.7482742 × 109
Variance2.8603995 × 109
MonotonicityNot monotonic
2024-05-11T08:06:16.836949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
20060102 14
 
9.5%
20061031 11
 
7.5%
20051102 7
 
4.8%
20100101 4
 
2.7%
20080618 4
 
2.7%
20160715 4
 
2.7%
20210701 2
 
1.4%
20170623 2
 
1.4%
20050322 2
 
1.4%
20140228 2
 
1.4%
Other values (34) 35
23.8%
(Missing) 60
40.8%
ValueCountFrequency (%)
20030825 1
0.7%
20031110 1
0.7%
20031231 1
0.7%
20040416 1
0.7%
20040514 2
1.4%
20050103 1
0.7%
20050311 1
0.7%
20050322 2
1.4%
20050323 1
0.7%
20050526 1
0.7%
ValueCountFrequency (%)
20210705 1
0.7%
20210701 2
1.4%
20210524 1
0.7%
20200323 1
0.7%
20190517 1
0.7%
20190211 1
0.7%
20180419 1
0.7%
20180101 1
0.7%
20170804 1
0.7%
20170630 1
0.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
032400003240000-E19800000119801204200501034취소/말소/만료/정지/중지19사용중지20050103<NA><NA><NA><NA>216.0<NA>서울특별시 강동구 암사동 414<NA><NA>강동아파트 24동앞2006-01-18 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 강동구 암사동 414정부지원시설강동아파트 24동앞20050103
132400003240000-E19810000119811130200610314취소/말소/만료/정지/중지19사용중지20061031<NA><NA><NA><NA>253.0<NA>하일동 362-52<NA><NA>동사무소2006-12-13 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA>하일동 362-52정부지원시설동사무소20061031
232400003240000-E19830000219830101200610314취소/말소/만료/정지/중지19사용중지20061031<NA><NA><NA><NA>112.0<NA>상일동 134<NA><NA>주공아파트 4단지2006-12-13 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA>상일동 134민간시설주공아파트 4단지20061031
332400003240000-E19830000419830101200907014취소/말소/만료/정지/중지19사용중지20090701<NA><NA><NA><NA>100.0<NA>서울특별시 강동구 상일동 131번지 주공아파트 5단지<NA><NA>주공아파트 5단지2009-09-01 11:11:58I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 강동구 상일동 131번지 주공아파트 5단지민간시설주공아파트 5단지20090701
432400003240000-E19840000219841220201607154취소/말소/만료/정지/중지19사용중지20160715<NA><NA><NA><NA>233.0<NA>서울특별시 강동구 고덕동 217번지서울특별시 강동구 고덕로 313 (고덕동)134757주공아파트 2단지 상가옆2016-07-19 09:37:30I2018-08-31 23:59:59.0<NA>214293.085341450636.626426서울특별시 강동구 고덕동 217번지정부지원시설주공아파트 2단지 상가옆20160715
532400003240000-E19850000119850101200311104취소/말소/만료/정지/중지19사용중지20031110<NA><NA><NA><NA>216.0<NA>고덕1동 594-2<NA><NA>고덕가든2003-11-10 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA>고덕1동 594-2민간시설고덕가든20031110
632400003240000-E19850000219851201200511024취소/말소/만료/정지/중지19사용중지20051102<NA><NA><NA><NA>113.0<NA>암사동 452-28<NA><NA>덕산탕2005-11-02 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA>암사동 452-28민간시설덕산탕20051102
732400003240000-E19860000119860101<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>43.0<NA>서울특별시 강동구 상일동 172번지서울특별시 강동구 상암로 309 (상일동)134837현대빌라 5동2019-02-13 11:16:41U2019-02-15 02:40:00.0<NA>213801.619024449396.497183서울특별시 강동구 상일동 172번지민간시설현대빌라 5동<NA>
832400003240000-E19870000119871231201607154취소/말소/만료/정지/중지19사용중지20160715<NA><NA><NA><NA>200.0<NA>상일동 121서울특별시 강동구 고덕로80길 13 (상일동, 364동 앞)134707주공아파트 364동앞2016-07-19 09:38:33I2018-08-31 23:59:59.0<NA>214864.335922450439.729004상일동 121정부지원시설주공아파트 364동앞20160715
932400003240000-E19870000220180124<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>86.0<NA>서울특별시 강동구 성내동 439번지 13호서울특별시 강동구 양재대로 1329 (성내동)05405서경빌딩2019-02-13 11:17:17U2019-02-15 02:40:00.0<NA>211847.651488447002.606152서울특별시 강동구 성내동 439번지 13호민간시설서경빌딩<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
13732400003240000-E20190000920191002<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>60000.0<NA>서울특별시 강동구 길동 476서울특별시 강동구 천호대로 1291(길동)05291길동배수지2021-10-14 14:43:45U2021-10-16 02:40:00.0<NA>213636.112834448708.059824서울특별시 강동구 길동 476공공시설길동배수지<NA>
13832400003240000-E20200000120200219<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>73.0<NA>서울특별시 강동구 성내동 429번지 3호서울특별시 강동구 양재대로 1335, 함종어씨종친회관 (성내동)05405함종어씨종친회관2021-10-14 14:44:02U2021-10-16 02:40:00.0<NA>211854.106865447051.598623서울특별시 강동구 성내동 429번지 3호민간시설함종어씨종친회관<NA>
13932400003240000-E20200000220200219<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>54.7<NA>서울특별시 강동구 둔촌동 214번지서울특별시 강동구 동남로 515, 기림빌딩 (둔촌동)05413기림빌딩2021-10-14 14:44:13U2021-10-16 02:40:00.0<NA>212742.80312446519.434703서울특별시 강동구 둔촌동 214번지민간시설기림빌딩<NA>
14032400003240000-E20210000120210421<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>86.0<NA>서울특별시 강동구 상일동 178 대림빌라서울특별시 강동구 상암로 355 (상일동, 대림빌라)05280대림빌라2021-10-14 14:44:22U2021-10-16 02:40:00.0<NA>214251.690913449392.377955서울특별시 강동구 상일동 178 대림빌라공공시설대림빌라<NA>
14132400003240000-E20210000220210428<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>41.0<NA>서울특별시 강동구 고덕동 573서울특별시 강동구 아리수로61길 30 (고덕동)05204이종수2021-10-14 14:44:36U2021-10-16 02:40:00.0<NA>213211.180648451213.73474서울특별시 강동구 고덕동 573공공시설이종수<NA>
14232400003240000-E20210000320210729<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>125.0<NA>서울특별시 강동구 상일동 519 고덕아르테온서울특별시 강동구 고덕로 360(상일동, 고덕아르테온)05274고덕아르테온(공원)2021-10-14 14:44:44U2021-10-16 02:40:00.0<NA>214569.139003450478.022638서울특별시 강동구 상일동 519 고덕아르테온정부지원시설고덕아르테온(공원)<NA>
14332400003240000-E20220000120221115202211154취소/말소/만료/정지/중지19사용중지20221115<NA><NA><NA><NA>19477.0<NA>서울특별시 강동구 강일동 717 고덕리엔파크2단지아파트서울특별시 강동구 고덕로 427(강일동, 고덕리엔파크2단지아파트)05217고덕리엔파크 2단지 지하1층 주차장2022-11-15 11:28:55I2021-10-31 23:07:00.0<NA>215223.60463450827.270292<NA><NA><NA><NA>
14432400003240000-E20220000220221219<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>189.11<NA>서울특별시 강동구 고덕동 310 고덕역서울특별시 강동구 고덕로 지하253, 고덕역 (고덕동)05233고덕역2022-12-19 11:37:07I2021-11-01 22:01:00.0<NA>213525.074261450383.581791<NA><NA><NA><NA>
14532400003240000-E20220000320221219<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>43.0<NA>서울특별시 강동구 상일동 173 삼성빌라서울특별시 강동구 상암로 325(상일동, 삼성빌라)05280삼성빌라 놀이터2023-01-04 15:01:52U2022-12-01 00:06:00.0<NA>213913.807979449385.615249<NA><NA><NA><NA>
14632400003240000-E2023000012023-09-21<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>80.0<NA>서울특별시 강동구 성내동 519-4서울특별시 강동구 풍성로 156-1 (성내동)05395유미체인2023-09-21 20:05:07I2022-12-08 22:03:00.0<NA>211357.277315447607.302675<NA><NA><NA><NA>