Overview

Dataset statistics

Number of variables29
Number of observations116
Missing cells1041
Missing cells (%)30.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.0 KiB
Average record size in memory247.1 B

Variable types

Categorical8
Text8
DateTime3
Unsupported6
Numeric4

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
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-20038/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (63.8%)Imbalance
영업상태명 is highly imbalanced (63.8%)Imbalance
상세영업상태코드 is highly imbalanced (63.8%)Imbalance
상세영업상태명 is highly imbalanced (63.8%)Imbalance
데이터갱신구분 is highly imbalanced (78.4%)Imbalance
해제일자 is highly imbalanced (84.6%)Imbalance
인허가취소일자 has 108 (93.1%) missing valuesMissing
폐업일자 has 108 (93.1%) missing valuesMissing
휴업시작일자 has 116 (100.0%) missing valuesMissing
휴업종료일자 has 116 (100.0%) missing valuesMissing
재개업일자 has 116 (100.0%) missing valuesMissing
전화번호 has 116 (100.0%) missing valuesMissing
소재지우편번호 has 116 (100.0%) missing valuesMissing
도로명우편번호 has 4 (3.4%) missing valuesMissing
업태구분명 has 116 (100.0%) missing valuesMissing
좌표정보(X) has 10 (8.6%) missing valuesMissing
좌표정보(Y) has 10 (8.6%) missing valuesMissing
비상시설위치 has 52 (44.8%) missing valuesMissing
시설명_건물명 has 52 (44.8%) missing valuesMissing
관리번호 has unique valuesUnique
소재지면적 has unique valuesUnique
사업장명 has unique valuesUnique
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
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 05:50:55.118054
Analysis finished2024-05-11 05:50:56.136276
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
3110000
116 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3110000
2nd row3110000
3rd row3110000
4th row3110000
5th row3110000

Common Values

ValueCountFrequency (%)
3110000 116
100.0%

Length

2024-05-11T14:50:56.227659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:56.373910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 116
100.0%

관리번호
Text

UNIQUE 

Distinct116
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-05-11T14:50:56.651623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters2088
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

Unique116 ?
Unique (%)100.0%

Sample

1st row3110000-S200900056
2nd row3110000-S200900055
3rd row3110000-S200900054
4th row3110000-S200900053
5th row3110000-S200900063
ValueCountFrequency (%)
3110000-s200900056 1
 
0.9%
3110000-s200900002 1
 
0.9%
3110000-s200500015 1
 
0.9%
3110000-s200100004 1
 
0.9%
3110000-s199800001 1
 
0.9%
3110000-s200100003 1
 
0.9%
3110000-s200400013 1
 
0.9%
3110000-s199700002 1
 
0.9%
3110000-s200900061 1
 
0.9%
3110000-s200500008 1
 
0.9%
Other values (106) 106
91.4%
2024-05-11T14:50:57.145852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1061
50.8%
1 334
 
16.0%
2 155
 
7.4%
3 139
 
6.7%
- 116
 
5.6%
S 116
 
5.6%
9 66
 
3.2%
5 25
 
1.2%
4 25
 
1.2%
8 23
 
1.1%
Other values (2) 28
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1856
88.9%
Dash Punctuation 116
 
5.6%
Uppercase Letter 116
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1061
57.2%
1 334
 
18.0%
2 155
 
8.4%
3 139
 
7.5%
9 66
 
3.6%
5 25
 
1.3%
4 25
 
1.3%
8 23
 
1.2%
7 15
 
0.8%
6 13
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 116
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1972
94.4%
Latin 116
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1061
53.8%
1 334
 
16.9%
2 155
 
7.9%
3 139
 
7.0%
- 116
 
5.9%
9 66
 
3.3%
5 25
 
1.3%
4 25
 
1.3%
8 23
 
1.2%
7 15
 
0.8%
Latin
ValueCountFrequency (%)
S 116
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2088
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1061
50.8%
1 334
 
16.0%
2 155
 
7.4%
3 139
 
6.7%
- 116
 
5.6%
S 116
 
5.6%
9 66
 
3.2%
5 25
 
1.2%
4 25
 
1.2%
8 23
 
1.1%
Other values (2) 28
 
1.3%

인허가일자
Date

Distinct49
Distinct (%)42.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum1993-10-15 00:00:00
Maximum2022-04-27 00:00:00
2024-05-11T14:50:57.392090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:50:57.604431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)

인허가취소일자
Text

MISSING 

Distinct4
Distinct (%)50.0%
Missing108
Missing (%)93.1%
Memory size1.0 KiB
2024-05-11T14:50:57.776726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7.5
Mean length7.5
Min length5

Characters and Unicode

Total characters60
Distinct characters9
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

Unique2 ?
Unique (%)25.0%

Sample

1st row2023-09-06
2nd row2023-09-06
3rd row2023-09-06
4th row2024-02-01
5th row42604
ValueCountFrequency (%)
2023-09-06 3
37.5%
42604 3
37.5%
2024-02-01 1
 
12.5%
39800 1
 
12.5%
2024-05-11T14:50:58.141139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 17
28.3%
2 12
20.0%
- 8
13.3%
4 7
11.7%
6 6
 
10.0%
3 4
 
6.7%
9 4
 
6.7%
1 1
 
1.7%
8 1
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 52
86.7%
Dash Punctuation 8
 
13.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17
32.7%
2 12
23.1%
4 7
13.5%
6 6
 
11.5%
3 4
 
7.7%
9 4
 
7.7%
1 1
 
1.9%
8 1
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 60
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 17
28.3%
2 12
20.0%
- 8
13.3%
4 7
11.7%
6 6
 
10.0%
3 4
 
6.7%
9 4
 
6.7%
1 1
 
1.7%
8 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 60
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 17
28.3%
2 12
20.0%
- 8
13.3%
4 7
11.7%
6 6
 
10.0%
3 4
 
6.7%
9 4
 
6.7%
1 1
 
1.7%
8 1
 
1.7%

영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
1
108 
4
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 108
93.1%
4 8
 
6.9%

Length

2024-05-11T14:50:58.323468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:58.433138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 108
93.1%
4 8
 
6.9%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
영업/정상
108 
취소/말소/만료/정지/중지
 
8

Length

Max length14
Median length5
Mean length5.6206897
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 108
93.1%
취소/말소/만료/정지/중지 8
 
6.9%

Length

2024-05-11T14:50:58.551384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:58.652872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 108
93.1%
취소/말소/만료/정지/중지 8
 
6.9%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
18
108 
19
 
8

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row18
2nd row18
3rd row18
4th row18
5th row18

Common Values

ValueCountFrequency (%)
18 108
93.1%
19 8
 
6.9%

Length

2024-05-11T14:50:58.766852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:58.870084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18 108
93.1%
19 8
 
6.9%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
사용중
108 
사용중지
 
8

Length

Max length4
Median length3
Mean length3.0689655
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용중 108
93.1%
사용중지 8
 
6.9%

Length

2024-05-11T14:50:58.984914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:59.083425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중 108
93.1%
사용중지 8
 
6.9%

폐업일자
Text

MISSING 

Distinct4
Distinct (%)50.0%
Missing108
Missing (%)93.1%
Memory size1.0 KiB
2024-05-11T14:50:59.199070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7.5
Mean length7.5
Min length5

Characters and Unicode

Total characters60
Distinct characters9
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

Unique2 ?
Unique (%)25.0%

Sample

1st row2023-09-06
2nd row2023-09-06
3rd row2023-09-06
4th row2024-02-01
5th row42604
ValueCountFrequency (%)
2023-09-06 3
37.5%
42604 3
37.5%
2024-02-01 1
 
12.5%
39800 1
 
12.5%
2024-05-11T14:50:59.457357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 17
28.3%
2 12
20.0%
- 8
13.3%
4 7
11.7%
6 6
 
10.0%
3 4
 
6.7%
9 4
 
6.7%
1 1
 
1.7%
8 1
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 52
86.7%
Dash Punctuation 8
 
13.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17
32.7%
2 12
23.1%
4 7
13.5%
6 6
 
11.5%
3 4
 
7.7%
9 4
 
7.7%
1 1
 
1.9%
8 1
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 60
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 17
28.3%
2 12
20.0%
- 8
13.3%
4 7
11.7%
6 6
 
10.0%
3 4
 
6.7%
9 4
 
6.7%
1 1
 
1.7%
8 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 60
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 17
28.3%
2 12
20.0%
- 8
13.3%
4 7
11.7%
6 6
 
10.0%
3 4
 
6.7%
9 4
 
6.7%
1 1
 
1.7%
8 1
 
1.7%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing116
Missing (%)100.0%
Memory size1.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing116
Missing (%)100.0%
Memory size1.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing116
Missing (%)100.0%
Memory size1.1 KiB

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing116
Missing (%)100.0%
Memory size1.1 KiB

소재지면적
Real number (ℝ)

UNIQUE 

Distinct116
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11257.901
Minimum208.57
Maximum125521
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T14:50:59.583812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum208.57
5-th percentile983
Q12992.3725
median6102.185
Q311424.5
95-th percentile42662
Maximum125521
Range125312.43
Interquartile range (IQR)8432.1275

Descriptive statistics

Standard deviation16001.611
Coefficient of variation (CV)1.4213672
Kurtosis22.936388
Mean11257.901
Median Absolute Deviation (MAD)3841.435
Skewness4.0352352
Sum1305916.5
Variance2.5605154 × 108
MonotonicityNot monotonic
2024-05-11T14:50:59.725432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2700.0 1
 
0.9%
16247.0 1
 
0.9%
8644.67 1
 
0.9%
24267.88 1
 
0.9%
8489.29 1
 
0.9%
4869.0 1
 
0.9%
6679.38 1
 
0.9%
2528.94 1
 
0.9%
5368.83 1
 
0.9%
4000.0 1
 
0.9%
Other values (106) 106
91.4%
ValueCountFrequency (%)
208.57 1
0.9%
365.0 1
0.9%
715.0 1
0.9%
889.26 1
0.9%
914.0 1
0.9%
926.0 1
0.9%
1002.0 1
0.9%
1124.0 1
0.9%
1320.0 1
0.9%
1351.0 1
0.9%
ValueCountFrequency (%)
125521.0 1
0.9%
55241.0 1
0.9%
54816.0 1
0.9%
51322.0 1
0.9%
48427.0 1
0.9%
46031.0 1
0.9%
41539.0 1
0.9%
38581.0 1
0.9%
31914.0 1
0.9%
31318.0 1
0.9%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing116
Missing (%)100.0%
Memory size1.1 KiB

지번주소
Text

Distinct107
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-05-11T14:50:59.967074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length32
Mean length21.008621
Min length17

Characters and Unicode

Total characters2437
Distinct characters110
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)85.3%

Sample

1st row서울특별시 은평구 신사동 370번지
2nd row서울특별시 은평구 신사동 360번지
3rd row서울특별시 은평구 신사동 365번지
4th row서울특별시 은평구 신사동 297번지
5th row서울특별시 은평구 신사동 364번지
ValueCountFrequency (%)
서울특별시 116
22.3%
은평구 116
22.3%
진관동 18
 
3.5%
응암동 18
 
3.5%
신사동 17
 
3.3%
녹번동 13
 
2.5%
불광동 12
 
2.3%
1호 11
 
2.1%
갈현동 10
 
1.9%
증산동 9
 
1.7%
Other values (140) 180
34.6%
2024-05-11T14:51:00.427546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
404
16.6%
구 121
 
5.0%
번 118
 
4.8%
서 116
 
4.8%
울 116
 
4.8%
특 116
 
4.8%
별 116
 
4.8%
시 116
 
4.8%
은 116
 
4.8%
평 116
 
4.8%
Other values (100) 982
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1640
67.3%
Space Separator 404
 
16.6%
Decimal Number 376
 
15.4%
Uppercase Letter 8
 
0.3%
Dash Punctuation 5
 
0.2%
Lowercase Letter 2
 
0.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 121
 
7.4%
번 118
 
7.2%
서 116
 
7.1%
울 116
 
7.1%
특 116
 
7.1%
별 116
 
7.1%
시 116
 
7.1%
은 116
 
7.1%
평 116
 
7.1%
동 116
 
7.1%
Other values (82) 473
28.8%
Decimal Number
ValueCountFrequency (%)
1 64
17.0%
3 55
14.6%
5 43
11.4%
6 42
11.2%
2 40
10.6%
4 39
10.4%
7 31
8.2%
8 24
 
6.4%
9 21
 
5.6%
0 17
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
C 3
37.5%
M 2
25.0%
D 2
25.0%
N 1
 
12.5%
Space Separator
ValueCountFrequency (%)
404
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1640
67.3%
Common 787
32.3%
Latin 10
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 121
 
7.4%
번 118
 
7.2%
서 116
 
7.1%
울 116
 
7.1%
특 116
 
7.1%
별 116
 
7.1%
시 116
 
7.1%
은 116
 
7.1%
평 116
 
7.1%
동 116
 
7.1%
Other values (82) 473
28.8%
Common
ValueCountFrequency (%)
404
51.3%
1 64
 
8.1%
3 55
 
7.0%
5 43
 
5.5%
6 42
 
5.3%
2 40
 
5.1%
4 39
 
5.0%
7 31
 
3.9%
8 24
 
3.0%
9 21
 
2.7%
Other values (3) 24
 
3.0%
Latin
ValueCountFrequency (%)
C 3
30.0%
e 2
20.0%
M 2
20.0%
D 2
20.0%
N 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1640
67.3%
ASCII 797
32.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
404
50.7%
1 64
 
8.0%
3 55
 
6.9%
5 43
 
5.4%
6 42
 
5.3%
2 40
 
5.0%
4 39
 
4.9%
7 31
 
3.9%
8 24
 
3.0%
9 21
 
2.6%
Other values (8) 34
 
4.3%
Hangul
ValueCountFrequency (%)
구 121
 
7.4%
번 118
 
7.2%
서 116
 
7.1%
울 116
 
7.1%
특 116
 
7.1%
별 116
 
7.1%
시 116
 
7.1%
은 116
 
7.1%
평 116
 
7.1%
동 116
 
7.1%
Other values (82) 473
28.8%

도로명주소
Text

Distinct110
Distinct (%)95.7%
Missing1
Missing (%)0.9%
Memory size1.0 KiB
2024-05-11T14:51:00.685549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length39
Mean length34.347826
Min length23

Characters and Unicode

Total characters3950
Distinct characters224
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

Unique106 ?
Unique (%)92.2%

Sample

1st row서울특별시 은평구 갈현로1길 36 (신사동, 은평신사두산위브아파트)
2nd row서울특별시 은평구 갈현로4길 26-5 (신사동, 신사성원아파트)
3rd row서울특별시 은평구 갈현로1길 31 (신사동, 신사동한신휴플러스)
4th row서울특별시 은평구 가좌로 391 (신사동, 씨티아파트)
5th row서울특별시 은평구 갈현로5길 25-11 (신사동, 임탑아파트)
ValueCountFrequency (%)
서울특별시 115
 
16.1%
은평구 115
 
16.1%
진관동 18
 
2.5%
신사동 16
 
2.2%
응암동 15
 
2.1%
녹번동 12
 
1.7%
불광동 12
 
1.7%
지하 12
 
1.7%
통일로 11
 
1.5%
갈현동 10
 
1.4%
Other values (258) 379
53.0%
2024-05-11T14:51:01.117244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
600
 
15.2%
은 153
 
3.9%
평 153
 
3.9%
서 136
 
3.4%
구 133
 
3.4%
동 123
 
3.1%
시 119
 
3.0%
로 116
 
2.9%
울 116
 
2.9%
, 116
 
2.9%
Other values (214) 2185
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2534
64.2%
Space Separator 600
 
15.2%
Decimal Number 414
 
10.5%
Other Punctuation 116
 
2.9%
Close Punctuation 115
 
2.9%
Open Punctuation 115
 
2.9%
Dash Punctuation 30
 
0.8%
Uppercase Letter 22
 
0.6%
Lowercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
은 153
 
6.0%
평 153
 
6.0%
서 136
 
5.4%
구 133
 
5.2%
동 123
 
4.9%
시 119
 
4.7%
로 116
 
4.6%
울 116
 
4.6%
특 115
 
4.5%
별 115
 
4.5%
Other values (185) 1255
49.5%
Uppercase Letter
ValueCountFrequency (%)
C 4
18.2%
D 3
13.6%
M 3
13.6%
L 2
9.1%
S 2
9.1%
N 1
 
4.5%
K 1
 
4.5%
I 1
 
4.5%
R 1
 
4.5%
J 1
 
4.5%
Other values (3) 3
13.6%
Decimal Number
ValueCountFrequency (%)
1 84
20.3%
2 56
13.5%
3 55
13.3%
6 48
11.6%
4 41
9.9%
5 34
8.2%
7 34
8.2%
0 24
 
5.8%
9 19
 
4.6%
8 19
 
4.6%
Space Separator
ValueCountFrequency (%)
600
100.0%
Other Punctuation
ValueCountFrequency (%)
, 116
100.0%
Close Punctuation
ValueCountFrequency (%)
) 115
100.0%
Open Punctuation
ValueCountFrequency (%)
( 115
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2534
64.2%
Common 1390
35.2%
Latin 26
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
은 153
 
6.0%
평 153
 
6.0%
서 136
 
5.4%
구 133
 
5.2%
동 123
 
4.9%
시 119
 
4.7%
로 116
 
4.6%
울 116
 
4.6%
특 115
 
4.5%
별 115
 
4.5%
Other values (185) 1255
49.5%
Common
ValueCountFrequency (%)
600
43.2%
, 116
 
8.3%
) 115
 
8.3%
( 115
 
8.3%
1 84
 
6.0%
2 56
 
4.0%
3 55
 
4.0%
6 48
 
3.5%
4 41
 
2.9%
5 34
 
2.4%
Other values (5) 126
 
9.1%
Latin
ValueCountFrequency (%)
e 4
15.4%
C 4
15.4%
D 3
11.5%
M 3
11.5%
L 2
7.7%
S 2
7.7%
N 1
 
3.8%
K 1
 
3.8%
I 1
 
3.8%
R 1
 
3.8%
Other values (4) 4
15.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2534
64.2%
ASCII 1416
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
600
42.4%
, 116
 
8.2%
) 115
 
8.1%
( 115
 
8.1%
1 84
 
5.9%
2 56
 
4.0%
3 55
 
3.9%
6 48
 
3.4%
4 41
 
2.9%
5 34
 
2.4%
Other values (19) 152
 
10.7%
Hangul
ValueCountFrequency (%)
은 153
 
6.0%
평 153
 
6.0%
서 136
 
5.4%
구 133
 
5.2%
동 123
 
4.9%
시 119
 
4.7%
로 116
 
4.6%
울 116
 
4.6%
특 115
 
4.5%
별 115
 
4.5%
Other values (185) 1255
49.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct78
Distinct (%)69.6%
Missing4
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean3404.9464
Minimum3300
Maximum3506
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T14:51:01.331842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3300
5-th percentile3303
Q13337.5
median3424.5
Q33464.25
95-th percentile3499
Maximum3506
Range206
Interquartile range (IQR)126.75

Descriptive statistics

Standard deviation68.024352
Coefficient of variation (CV)0.019978097
Kurtosis-1.3951051
Mean3404.9464
Median Absolute Deviation (MAD)52.5
Skewness-0.18753957
Sum381354
Variance4627.3124
MonotonicityNot monotonic
2024-05-11T14:51:01.561729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3306 4
 
3.4%
3459 3
 
2.6%
3384 3
 
2.6%
3397 3
 
2.6%
3427 3
 
2.6%
3310 3
 
2.6%
3477 3
 
2.6%
3434 2
 
1.7%
3311 2
 
1.7%
3366 2
 
1.7%
Other values (68) 84
72.4%
(Missing) 4
 
3.4%
ValueCountFrequency (%)
3300 2
1.7%
3301 2
1.7%
3302 1
 
0.9%
3303 2
1.7%
3304 1
 
0.9%
3306 4
3.4%
3308 1
 
0.9%
3310 3
2.6%
3311 2
1.7%
3315 1
 
0.9%
ValueCountFrequency (%)
3506 1
0.9%
3505 2
1.7%
3504 2
1.7%
3499 2
1.7%
3498 1
0.9%
3497 1
0.9%
3494 1
0.9%
3493 1
0.9%
3492 1
0.9%
3491 1
0.9%

사업장명
Text

UNIQUE 

Distinct116
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-05-11T14:51:01.983879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length24
Mean length19.241379
Min length3

Characters and Unicode

Total characters2232
Distinct characters219
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique116 ?
Unique (%)100.0%

Sample

1st row신사두산위브1차 아파트 지하주차장 1층
2nd row성원아파트 지하주차장 1, 2층
3rd row한신휴플러스아파트 지하주차장 1, 2층
4th row신사씨티아파트 지하주차장 2층
5th row임탑아파트 지하주차장 1층
ValueCountFrequency (%)
지하주차장 33
 
10.7%
1층 18
 
5.8%
지하1층 12
 
3.9%
지하 9
 
2.9%
2층 8
 
2.6%
1~2층 7
 
2.3%
6호선 6
 
1.9%
1 5
 
1.6%
전체동의 5
 
1.6%
백련산 5
 
1.6%
Other values (168) 200
64.9%
2024-05-11T14:51:02.535672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
192
 
8.6%
1 180
 
8.1%
지 133
 
6.0%
층 124
 
5.6%
하 117
 
5.2%
트 76
 
3.4%
파 74
 
3.3%
2 72
 
3.2%
아 66
 
3.0%
~ 63
 
2.8%
Other values (209) 1135
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1384
62.0%
Decimal Number 433
 
19.4%
Space Separator 192
 
8.6%
Uppercase Letter 64
 
2.9%
Math Symbol 63
 
2.8%
Open Punctuation 38
 
1.7%
Close Punctuation 38
 
1.7%
Other Punctuation 16
 
0.7%
Dash Punctuation 2
 
0.1%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 133
 
9.6%
층 124
 
9.0%
하 117
 
8.5%
트 76
 
5.5%
파 74
 
5.3%
아 66
 
4.8%
동 61
 
4.4%
차 52
 
3.8%
주 44
 
3.2%
장 41
 
3.0%
Other values (181) 596
43.1%
Decimal Number
ValueCountFrequency (%)
1 180
41.6%
2 72
 
16.6%
0 56
 
12.9%
3 39
 
9.0%
6 22
 
5.1%
4 21
 
4.8%
9 14
 
3.2%
7 11
 
2.5%
5 10
 
2.3%
8 8
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
C 11
17.2%
M 9
14.1%
D 9
14.1%
A 9
14.1%
P 8
12.5%
T 8
12.5%
B 5
7.8%
S 2
 
3.1%
K 2
 
3.1%
N 1
 
1.6%
Other Punctuation
ValueCountFrequency (%)
, 13
81.2%
@ 3
 
18.8%
Space Separator
ValueCountFrequency (%)
192
100.0%
Math Symbol
ValueCountFrequency (%)
~ 63
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1384
62.0%
Common 782
35.0%
Latin 66
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 133
 
9.6%
층 124
 
9.0%
하 117
 
8.5%
트 76
 
5.5%
파 74
 
5.3%
아 66
 
4.8%
동 61
 
4.4%
차 52
 
3.8%
주 44
 
3.2%
장 41
 
3.0%
Other values (181) 596
43.1%
Common
ValueCountFrequency (%)
192
24.6%
1 180
23.0%
2 72
 
9.2%
~ 63
 
8.1%
0 56
 
7.2%
3 39
 
5.0%
( 38
 
4.9%
) 38
 
4.9%
6 22
 
2.8%
4 21
 
2.7%
Other values (7) 61
 
7.8%
Latin
ValueCountFrequency (%)
C 11
16.7%
M 9
13.6%
D 9
13.6%
A 9
13.6%
P 8
12.1%
T 8
12.1%
B 5
7.6%
e 2
 
3.0%
S 2
 
3.0%
K 2
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1384
62.0%
ASCII 848
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
192
22.6%
1 180
21.2%
2 72
 
8.5%
~ 63
 
7.4%
0 56
 
6.6%
3 39
 
4.6%
( 38
 
4.5%
) 38
 
4.5%
6 22
 
2.6%
4 21
 
2.5%
Other values (18) 127
15.0%
Hangul
ValueCountFrequency (%)
지 133
 
9.6%
층 124
 
9.0%
하 117
 
8.5%
트 76
 
5.5%
파 74
 
5.3%
아 66
 
4.8%
동 61
 
4.4%
차 52
 
3.8%
주 44
 
3.2%
장 41
 
3.0%
Other values (181) 596
43.1%

최종수정일자
Date

UNIQUE 

Distinct116
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2008-12-18 17:12:22
Maximum2024-02-06 08:22:37
2024-05-11T14:51:02.765208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:51:02.941836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
U
112 
I
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 112
96.6%
I 4
 
3.4%

Length

2024-05-11T14:51:03.089004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:03.230394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 112
96.6%
i 4
 
3.4%

데이터갱신일자
Date

Distinct26
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-02 00:08:00
2024-05-11T14:51:03.378946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:51:03.578609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing116
Missing (%)100.0%
Memory size1.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct101
Distinct (%)95.3%
Missing10
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean192738.74
Minimum190373.38
Maximum194507.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T14:51:03.804681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190373.38
5-th percentile191213.44
Q1191846.92
median192919.68
Q3193542.01
95-th percentile194238.81
Maximum194507.49
Range4134.1056
Interquartile range (IQR)1695.0915

Descriptive statistics

Standard deviation958.10591
Coefficient of variation (CV)0.0049710085
Kurtosis-0.92199153
Mean192738.74
Median Absolute Deviation (MAD)730.89604
Skewness-0.17542439
Sum20430306
Variance917966.94
MonotonicityNot monotonic
2024-05-11T14:51:03.990563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193649.944135845 3
 
2.6%
193741.573927732 2
 
1.7%
192942.942317446 2
 
1.7%
192453.775146373 2
 
1.7%
191859.619257882 1
 
0.9%
191979.014880805 1
 
0.9%
191814.410526032 1
 
0.9%
193138.314411294 1
 
0.9%
193019.403382395 1
 
0.9%
192112.415149203 1
 
0.9%
Other values (91) 91
78.4%
(Missing) 10
 
8.6%
ValueCountFrequency (%)
190373.380194267 1
0.9%
190977.850603548 1
0.9%
191064.019644654 1
0.9%
191100.037469089 1
0.9%
191123.929735857 1
0.9%
191188.866535719 1
0.9%
191287.170393418 1
0.9%
191361.609135217 1
0.9%
191413.888519811 1
0.9%
191441.114267592 1
0.9%
ValueCountFrequency (%)
194507.485754764 1
0.9%
194448.398672243 1
0.9%
194368.848170899 1
0.9%
194351.457576382 1
0.9%
194291.55883121 1
0.9%
194257.26628503 1
0.9%
194183.438617956 1
0.9%
194002.698852531 1
0.9%
193992.496948329 1
0.9%
193939.137051524 1
0.9%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct101
Distinct (%)95.3%
Missing10
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean455921.35
Minimum452799.6
Maximum460623.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T14:51:04.193202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452799.6
5-th percentile453325.33
Q1454517.66
median455530.2
Q3457300.84
95-th percentile459428.13
Maximum460623.37
Range7823.7716
Interquartile range (IQR)2783.1825

Descriptive statistics

Standard deviation1896.5893
Coefficient of variation (CV)0.0041599045
Kurtosis-0.3345111
Mean455921.35
Median Absolute Deviation (MAD)1211.318
Skewness0.58077784
Sum48327663
Variance3597050.9
MonotonicityNot monotonic
2024-05-11T14:51:04.737023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
455596.742641336 3
 
2.6%
456448.397313559 2
 
1.7%
457402.138214991 2
 
1.7%
455222.314775578 2
 
1.7%
454581.328200719 1
 
0.9%
457303.186756544 1
 
0.9%
455025.086909143 1
 
0.9%
455722.757056357 1
 
0.9%
456302.92877653 1
 
0.9%
453778.887708571 1
 
0.9%
Other values (91) 91
78.4%
(Missing) 10
 
8.6%
ValueCountFrequency (%)
452799.599269845 1
0.9%
452947.781633581 1
0.9%
453037.787995874 1
0.9%
453147.707700463 1
0.9%
453162.844280292 1
0.9%
453289.803633766 1
0.9%
453431.925873873 1
0.9%
453444.375787943 1
0.9%
453487.089880529 1
0.9%
453527.797724869 1
0.9%
ValueCountFrequency (%)
460623.370836706 1
0.9%
460413.01992851 1
0.9%
460290.216473109 1
0.9%
460006.426256932 1
0.9%
459913.076110867 1
0.9%
459461.236119623 1
0.9%
459328.813094403 1
0.9%
459136.547595152 1
0.9%
459010.335932209 1
0.9%
458851.956186038 1
0.9%

비상시설위치
Text

MISSING 

Distinct60
Distinct (%)93.8%
Missing52
Missing (%)44.8%
Memory size1.0 KiB
2024-05-11T14:51:05.111031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length30
Mean length20.265625
Min length17

Characters and Unicode

Total characters1297
Distinct characters61
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)87.5%

Sample

1st row서울특별시 은평구 진관동 25번지
2nd row서울특별시 은평구 신사동 366번지
3rd row서울특별시 은평구 갈현동 465번지 12호
4th row서울특별시 은평구 응암동 90번지 1호
5th row서울특별시 은평구 진관동 5번지
ValueCountFrequency (%)
서울특별시 64
22.9%
은평구 64
22.9%
진관동 18
 
6.5%
갈현동 10
 
3.6%
신사동 9
 
3.2%
응암동 9
 
3.2%
불광동 7
 
2.5%
1호 6
 
2.2%
구산동 5
 
1.8%
역촌동 4
 
1.4%
Other values (73) 83
29.7%
2024-05-11T14:51:05.652048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
215
16.6%
구 69
 
5.3%
서 64
 
4.9%
평 64
 
4.9%
번 64
 
4.9%
동 64
 
4.9%
울 64
 
4.9%
은 64
 
4.9%
시 64
 
4.9%
별 64
 
4.9%
Other values (51) 501
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 880
67.8%
Space Separator 215
 
16.6%
Decimal Number 201
 
15.5%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 69
 
7.8%
서 64
 
7.3%
평 64
 
7.3%
번 64
 
7.3%
동 64
 
7.3%
울 64
 
7.3%
은 64
 
7.3%
시 64
 
7.3%
별 64
 
7.3%
특 64
 
7.3%
Other values (39) 235
26.7%
Decimal Number
ValueCountFrequency (%)
1 35
17.4%
3 30
14.9%
5 29
14.4%
6 24
11.9%
4 18
9.0%
7 17
8.5%
2 17
8.5%
8 14
 
7.0%
9 12
 
6.0%
0 5
 
2.5%
Space Separator
ValueCountFrequency (%)
215
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 880
67.8%
Common 416
32.1%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 69
 
7.8%
서 64
 
7.3%
평 64
 
7.3%
번 64
 
7.3%
동 64
 
7.3%
울 64
 
7.3%
은 64
 
7.3%
시 64
 
7.3%
별 64
 
7.3%
특 64
 
7.3%
Other values (39) 235
26.7%
Common
ValueCountFrequency (%)
215
51.7%
1 35
 
8.4%
3 30
 
7.2%
5 29
 
7.0%
6 24
 
5.8%
4 18
 
4.3%
7 17
 
4.1%
2 17
 
4.1%
8 14
 
3.4%
9 12
 
2.9%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 880
67.8%
ASCII 417
32.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
215
51.6%
1 35
 
8.4%
3 30
 
7.2%
5 29
 
7.0%
6 24
 
5.8%
4 18
 
4.3%
7 17
 
4.1%
2 17
 
4.1%
8 14
 
3.4%
9 12
 
2.9%
Other values (2) 6
 
1.4%
Hangul
ValueCountFrequency (%)
구 69
 
7.8%
서 64
 
7.3%
평 64
 
7.3%
번 64
 
7.3%
동 64
 
7.3%
울 64
 
7.3%
은 64
 
7.3%
시 64
 
7.3%
별 64
 
7.3%
특 64
 
7.3%
Other values (39) 235
26.7%

시설구분명
Categorical

Distinct3
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
공공용시설
60 
<NA>
52 
공공시설
 
4

Length

Max length5
Median length5
Mean length4.5172414
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 (%)
공공용시설 60
51.7%
<NA> 52
44.8%
공공시설 4
 
3.4%

Length

2024-05-11T14:51:05.848810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:06.004987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공용시설 60
51.7%
na 52
44.8%
공공시설 4
 
3.4%

시설명_건물명
Text

MISSING 

Distinct64
Distinct (%)100.0%
Missing52
Missing (%)44.8%
Memory size1.0 KiB
2024-05-11T14:51:06.249754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length24.5
Mean length19.328125
Min length3

Characters and Unicode

Total characters1237
Distinct characters153
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)100.0%

Sample

1st row구파발9단지아파트(916~928동)917동지하1층
2nd row구암아파트 지하주차장 1층
3rd row갈현베르빌아파트(지하1층)
4th row이마트 지하3층~지하7층
5th row상림마을6단지아파트(622~629동)629동지하1층
ValueCountFrequency (%)
지하주차장 15
 
10.1%
1층 14
 
9.4%
지하 7
 
4.7%
전체동의 5
 
3.4%
2층 4
 
2.7%
지하1층 4
 
2.7%
전동 4
 
2.7%
6호선 3
 
2.0%
지하주차장1~3층 3
 
2.0%
1 2
 
1.3%
Other values (84) 88
59.1%
2024-05-11T14:51:06.719929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 96
 
7.8%
85
 
6.9%
지 81
 
6.5%
층 67
 
5.4%
하 66
 
5.3%
파 51
 
4.1%
트 48
 
3.9%
아 44
 
3.6%
동 40
 
3.2%
2 39
 
3.2%
Other values (143) 620
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 799
64.6%
Decimal Number 252
 
20.4%
Space Separator 85
 
6.9%
Open Punctuation 28
 
2.3%
Close Punctuation 28
 
2.3%
Math Symbol 27
 
2.2%
Other Punctuation 10
 
0.8%
Uppercase Letter 4
 
0.3%
Dash Punctuation 2
 
0.2%
Lowercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 81
 
10.1%
층 67
 
8.4%
하 66
 
8.3%
파 51
 
6.4%
트 48
 
6.0%
아 44
 
5.5%
동 40
 
5.0%
차 28
 
3.5%
주 23
 
2.9%
장 22
 
2.8%
Other values (121) 329
41.2%
Decimal Number
ValueCountFrequency (%)
1 96
38.1%
2 39
15.5%
0 33
 
13.1%
3 23
 
9.1%
6 13
 
5.2%
9 13
 
5.2%
4 11
 
4.4%
7 10
 
4.0%
8 7
 
2.8%
5 7
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
P 1
25.0%
T 1
25.0%
C 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 9
90.0%
@ 1
 
10.0%
Space Separator
ValueCountFrequency (%)
85
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Math Symbol
ValueCountFrequency (%)
~ 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 799
64.6%
Common 432
34.9%
Latin 6
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 81
 
10.1%
층 67
 
8.4%
하 66
 
8.3%
파 51
 
6.4%
트 48
 
6.0%
아 44
 
5.5%
동 40
 
5.0%
차 28
 
3.5%
주 23
 
2.9%
장 22
 
2.8%
Other values (121) 329
41.2%
Common
ValueCountFrequency (%)
1 96
22.2%
85
19.7%
2 39
9.0%
0 33
 
7.6%
( 28
 
6.5%
) 28
 
6.5%
~ 27
 
6.2%
3 23
 
5.3%
6 13
 
3.0%
9 13
 
3.0%
Other values (7) 47
10.9%
Latin
ValueCountFrequency (%)
e 2
33.3%
A 1
16.7%
P 1
16.7%
T 1
16.7%
C 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 799
64.6%
ASCII 438
35.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 96
21.9%
85
19.4%
2 39
8.9%
0 33
 
7.5%
( 28
 
6.4%
) 28
 
6.4%
~ 27
 
6.2%
3 23
 
5.3%
6 13
 
3.0%
9 13
 
3.0%
Other values (12) 53
12.1%
Hangul
ValueCountFrequency (%)
지 81
 
10.1%
층 67
 
8.4%
하 66
 
8.3%
파 51
 
6.4%
트 48
 
6.0%
아 44
 
5.5%
동 40
 
5.0%
차 28
 
3.5%
주 23
 
2.9%
장 22
 
2.8%
Other values (121) 329
41.2%

해제일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
112 
20160822
 
3
20081218
 
1

Length

Max length8
Median length4
Mean length4.137931
Min length4

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 112
96.6%
20160822 3
 
2.6%
20081218 1
 
0.9%

Length

2024-05-11T14:51:06.927438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:07.086873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 112
96.6%
20160822 3
 
2.6%
20081218 1
 
0.9%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
031100003110000-S2009000562009-12-15<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>2700.0<NA>서울특별시 은평구 신사동 370번지서울특별시 은평구 갈현로1길 36 (신사동, 은평신사두산위브아파트)3434신사두산위브1차 아파트 지하주차장 1층2023-07-18 09:28:40U2022-12-06 22:00:00.0<NA>191603.140014455295.497292<NA><NA><NA><NA>
131100003110000-S2009000552009-12-15<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>365.0<NA>서울특별시 은평구 신사동 360번지서울특별시 은평구 갈현로4길 26-5 (신사동, 신사성원아파트)3422성원아파트 지하주차장 1, 2층2023-07-18 09:28:53U2022-12-06 22:00:00.0<NA>192274.295664455350.75055<NA><NA><NA><NA>
231100003110000-S2009000542009-12-15<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>3720.0<NA>서울특별시 은평구 신사동 365번지서울특별시 은평구 갈현로1길 31 (신사동, 신사동한신휴플러스)3438한신휴플러스아파트 지하주차장 1, 2층2023-07-18 09:28:16U2022-12-06 22:00:00.0<NA>191644.368522455187.055736<NA><NA><NA><NA>
331100003110000-S2009000532009-12-15<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>4467.0<NA>서울특별시 은평구 신사동 297번지서울특별시 은평구 가좌로 391 (신사동, 씨티아파트)3434신사씨티아파트 지하주차장 2층2023-07-18 09:29:26U2022-12-06 22:00:00.0<NA>191462.335536455341.615262<NA><NA><NA><NA>
431100003110000-S2009000632009-12-15<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>1002.0<NA>서울특별시 은평구 신사동 364번지서울특별시 은평구 갈현로5길 25-11 (신사동, 임탑아파트)3435임탑아파트 지하주차장 1층2023-07-18 09:27:30U2022-12-06 22:00:00.0<NA>191845.288972455494.499486<NA><NA><NA><NA>
531100003110000-S2009000592009-12-15<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>715.0<NA>서울특별시 은평구 신사동 362번지서울특별시 은평구 증산로 417 (신사동, 청운제일아파트)3452청운제일아파트 지하주차장 1, 2층2023-07-18 09:27:09U2022-12-06 22:00:00.0<NA>192326.947529454593.817331<NA><NA><NA><NA>
631100003110000-S2009000622009-12-15<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>3629.0<NA>서울특별시 은평구 신사동 354번지서울특별시 은평구 갈현로3다길 15 (신사동, 라이프씨티아파트)3433라이프씨티아파트 지하주차장 1층2023-07-18 09:27:56U2022-12-06 22:00:00.0<NA>191571.126937455565.90751<NA><NA><NA><NA>
731100003110000-S2009000232009-04-09<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>5080.0<NA>서울특별시 은평구 신사동 361번지서울특별시 은평구 증산로21길 11 (신사동, 신흥상가삼부아파트)3451삼부아파트 지하주차장 2, 3층2023-07-18 09:29:06U2022-12-06 22:00:00.0<NA>192286.886514454822.506701<NA><NA><NA><NA>
831100003110000-S2021000022021-12-07<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>38581.0<NA>서울특별시 은평구 응암동 768 백련산해모로서울특별시 은평구 응암로30길 15(응암동, 백련산해모로)3465백련산 해모로APT(101동~109동 지하3층)2024-02-01 20:41:45U2023-12-02 00:03:00.0<NA>193046.237001454884.6132<NA><NA><NA><NA>
931100003110000-S2018000062018-04-192023-09-064취소/말소/만료/정지/중지19사용중지2023-09-06<NA><NA><NA><NA>10630.13<NA>서울특별시 은평구 수색동 416-1 DMC진흥서울특별시 은평구 은평터널로 60 (수색동, DMC진흥)3492DMC진흥아파트 101~106동 지하1~2층2023-09-11 15:23:29U2022-12-08 23:03:00.0<NA>191123.929736453678.738281<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
10631100003110000-S2009000222009-04-09426044취소/말소/만료/정지/중지19사용중지42604<NA><NA><NA><NA>1320.0<NA>서울특별시 은평구 신사동 355번지서울특별시 은평구 가좌로 344 (신사동, 현대아파트)<NA>현대아파트2016-08-22 17:34:20I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 은평구 신사동 355번지공공시설현대아파트20160822
10731100003110000-S2000000022000-12-15398004취소/말소/만료/정지/중지19사용중지39800<NA><NA><NA><NA>1919.0<NA>서울특별시 은평구 녹번동 144번지 69호<NA><NA>역촌역2008-12-18 17:12:22I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 은평구 녹번동 144번지 69호공공시설역촌역20081218
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11131100003110000-S2009000192009-08-26<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>3638.0<NA>서울특별시 은평구 증산동 255번지서울특별시 은평구 증산서길 79 (증산동, 두산위브)3498증산두산위브아파트 101동 지하주차장 1~2층2024-01-03 16:57:40U2023-12-01 00:05:00.0<NA>191655.698715453527.797725<NA><NA><NA><NA>
11231100003110000-S2002000082002-03-25<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>11066.0<NA>서울특별시 은평구 증산동 223번지 25호서울특별시 은평구 수색로 지하 175 (증산동, 6호선 디지털미디어시티역)3504디지털미디어시티역(6호선) 지하 1~2층2024-01-03 16:56:49U2023-12-01 00:05:00.0<NA>191287.170393452799.59927<NA><NA><NA><NA>
11331100003110000-S2021000032021-12-07<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>48427.0<NA>서울특별시 은평구 응암동 767 백련산에스케이뷰아이파크서울특별시 은평구 응암로30길 16(응암동, 백련산에스케이뷰아이파크)3466백련산SK뷰아이파크APT(101동~111동 지하4층)2024-02-01 20:47:11U2023-12-02 00:03:00.0<NA>192945.744256454740.562053<NA><NA><NA><NA>
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