Overview

Dataset statistics

Number of variables29
Number of observations113
Missing cells1039
Missing cells (%)31.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.3 KiB
Average record size in memory247.2 B

Variable types

Categorical10
Text8
Unsupported6
Numeric4
DateTime1

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
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-20027/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가일자 is highly imbalanced (56.2%)Imbalance
영업상태코드 is highly imbalanced (77.9%)Imbalance
영업상태명 is highly imbalanced (77.9%)Imbalance
상세영업상태코드 is highly imbalanced (77.9%)Imbalance
상세영업상태명 is highly imbalanced (77.9%)Imbalance
데이터갱신구분 is highly imbalanced (92.7%)Imbalance
해제일자 is highly imbalanced (92.7%)Imbalance
인허가취소일자 has 109 (96.5%) missing valuesMissing
폐업일자 has 109 (96.5%) missing valuesMissing
휴업시작일자 has 113 (100.0%) missing valuesMissing
휴업종료일자 has 113 (100.0%) missing valuesMissing
재개업일자 has 113 (100.0%) missing valuesMissing
전화번호 has 113 (100.0%) missing valuesMissing
소재지우편번호 has 113 (100.0%) missing valuesMissing
업태구분명 has 113 (100.0%) missing valuesMissing
비상시설위치 has 70 (61.9%) missing valuesMissing
시설명_건물명 has 70 (61.9%) missing valuesMissing
관리번호 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 08:22:08.555560
Analysis finished2024-05-11 08:22:09.123016
Duration0.57 seconds
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
3000000
113 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000000
2nd row3000000
3rd row3000000
4th row3000000
5th row3000000

Common Values

ValueCountFrequency (%)
3000000 113
100.0%

Length

2024-05-11T17:22:09.171863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:22:09.240920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 113
100.0%

관리번호
Text

UNIQUE 

Distinct113
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-05-11T17:22:09.377235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters2034
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

Unique113 ?
Unique (%)100.0%

Sample

1st row3000000-S201400001
2nd row3000000-S201100002
3rd row3000000-S200700105
4th row3000000-S200700108
5th row3000000-S201900001
ValueCountFrequency (%)
3000000-s201400001 1
 
0.9%
3000000-s201700006 1
 
0.9%
3000000-s200700195 1
 
0.9%
3000000-s200700128 1
 
0.9%
3000000-s200700114 1
 
0.9%
3000000-s200700121 1
 
0.9%
3000000-s200700093 1
 
0.9%
3000000-s202100001 1
 
0.9%
3000000-s201000009 1
 
0.9%
3000000-s201000003 1
 
0.9%
Other values (103) 103
91.2%
2024-05-11T17:22:09.652523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1223
60.1%
2 146
 
7.2%
3 131
 
6.4%
- 113
 
5.6%
S 113
 
5.6%
7 106
 
5.2%
1 99
 
4.9%
8 22
 
1.1%
6 22
 
1.1%
9 21
 
1.0%
Other values (2) 38
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1808
88.9%
Dash Punctuation 113
 
5.6%
Uppercase Letter 113
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1223
67.6%
2 146
 
8.1%
3 131
 
7.2%
7 106
 
5.9%
1 99
 
5.5%
8 22
 
1.2%
6 22
 
1.2%
9 21
 
1.2%
5 20
 
1.1%
4 18
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 113
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 113
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1921
94.4%
Latin 113
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1223
63.7%
2 146
 
7.6%
3 131
 
6.8%
- 113
 
5.9%
7 106
 
5.5%
1 99
 
5.2%
8 22
 
1.1%
6 22
 
1.1%
9 21
 
1.1%
5 20
 
1.0%
Latin
ValueCountFrequency (%)
S 113
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2034
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1223
60.1%
2 146
 
7.2%
3 131
 
6.4%
- 113
 
5.6%
S 113
 
5.6%
7 106
 
5.2%
1 99
 
4.9%
8 22
 
1.1%
6 22
 
1.1%
9 21
 
1.0%
Other values (2) 38
 
1.9%

인허가일자
Categorical

IMBALANCE 

Distinct20
Distinct (%)17.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2009-12-15
83 
2017-09-14
 
5
2010-10-21
 
4
2012-10-25
 
2
2010-10-22
 
2
Other values (15)
17 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique13 ?
Unique (%)11.5%

Sample

1st row2014-07-01
2nd row2011-01-03
3rd row2009-12-15
4th row2009-12-15
5th row2019-05-15

Common Values

ValueCountFrequency (%)
2009-12-15 83
73.5%
2017-09-14 5
 
4.4%
2010-10-21 4
 
3.5%
2012-10-25 2
 
1.8%
2010-10-22 2
 
1.8%
2011-01-03 2
 
1.8%
2017-09-29 2
 
1.8%
2010-12-30 1
 
0.9%
2019-05-15 1
 
0.9%
2018-05-23 1
 
0.9%
Other values (10) 10
 
8.8%

Length

2024-05-11T17:22:09.771500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2009-12-15 83
73.5%
2017-09-14 5
 
4.4%
2010-10-21 4
 
3.5%
2012-10-25 2
 
1.8%
2010-10-22 2
 
1.8%
2011-01-03 2
 
1.8%
2017-09-29 2
 
1.8%
2010-12-01 1
 
0.9%
2010-12-31 1
 
0.9%
2010-12-10 1
 
0.9%
Other values (10) 10
 
8.8%

인허가취소일자
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing109
Missing (%)96.5%
Memory size1.0 KiB
2024-05-11T17:22:09.875488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length8.75
Min length5

Characters and Unicode

Total characters35
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 (%)50.0%

Sample

1st row2023-07-25
2nd row2023-07-25
3rd row2024-01-10
4th row41605
ValueCountFrequency (%)
2023-07-25 2
50.0%
2024-01-10 1
25.0%
41605 1
25.0%
2024-05-11T17:22:10.110674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 8
22.9%
0 8
22.9%
- 6
17.1%
5 3
 
8.6%
1 3
 
8.6%
3 2
 
5.7%
7 2
 
5.7%
4 2
 
5.7%
6 1
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
82.9%
Dash Punctuation 6
 
17.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 8
27.6%
0 8
27.6%
5 3
 
10.3%
1 3
 
10.3%
3 2
 
6.9%
7 2
 
6.9%
4 2
 
6.9%
6 1
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 35
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 8
22.9%
0 8
22.9%
- 6
17.1%
5 3
 
8.6%
1 3
 
8.6%
3 2
 
5.7%
7 2
 
5.7%
4 2
 
5.7%
6 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 35
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 8
22.9%
0 8
22.9%
- 6
17.1%
5 3
 
8.6%
1 3
 
8.6%
3 2
 
5.7%
7 2
 
5.7%
4 2
 
5.7%
6 1
 
2.9%

영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
1
109 
4
 
4

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 (%)
1 109
96.5%
4 4
 
3.5%

Length

2024-05-11T17:22:10.227088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:22:10.310453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 109
96.5%
4 4
 
3.5%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
영업/정상
109 
취소/말소/만료/정지/중지
 
4

Length

Max length14
Median length5
Mean length5.3185841
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 109
96.5%
취소/말소/만료/정지/중지 4
 
3.5%

Length

2024-05-11T17:22:10.394556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:22:10.478010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 109
96.5%
취소/말소/만료/정지/중지 4
 
3.5%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
18
109 
19
 
4

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 (%)
18 109
96.5%
19 4
 
3.5%

Length

2024-05-11T17:22:10.560593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:22:10.636269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18 109
96.5%
19 4
 
3.5%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
사용중
109 
사용중지
 
4

Length

Max length4
Median length3
Mean length3.0353982
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용중 109
96.5%
사용중지 4
 
3.5%

Length

2024-05-11T17:22:10.722103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:22:10.808855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중 109
96.5%
사용중지 4
 
3.5%

폐업일자
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing109
Missing (%)96.5%
Memory size1.0 KiB
2024-05-11T17:22:10.919971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length8.75
Min length5

Characters and Unicode

Total characters35
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 (%)50.0%

Sample

1st row2023-07-25
2nd row2023-07-25
3rd row2024-01-10
4th row41605
ValueCountFrequency (%)
2023-07-25 2
50.0%
2024-01-10 1
25.0%
41605 1
25.0%
2024-05-11T17:22:11.149329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 8
22.9%
0 8
22.9%
- 6
17.1%
5 3
 
8.6%
1 3
 
8.6%
3 2
 
5.7%
7 2
 
5.7%
4 2
 
5.7%
6 1
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
82.9%
Dash Punctuation 6
 
17.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 8
27.6%
0 8
27.6%
5 3
 
10.3%
1 3
 
10.3%
3 2
 
6.9%
7 2
 
6.9%
4 2
 
6.9%
6 1
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 35
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 8
22.9%
0 8
22.9%
- 6
17.1%
5 3
 
8.6%
1 3
 
8.6%
3 2
 
5.7%
7 2
 
5.7%
4 2
 
5.7%
6 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 35
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 8
22.9%
0 8
22.9%
- 6
17.1%
5 3
 
8.6%
1 3
 
8.6%
3 2
 
5.7%
7 2
 
5.7%
4 2
 
5.7%
6 1
 
2.9%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing113
Missing (%)100.0%
Memory size1.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing113
Missing (%)100.0%
Memory size1.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing113
Missing (%)100.0%
Memory size1.1 KiB

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing113
Missing (%)100.0%
Memory size1.1 KiB

소재지면적
Real number (ℝ)

Distinct111
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5255.1812
Minimum132
Maximum49254
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T17:22:11.279453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum132
5-th percentile214.8
Q1971.98
median2970
Q36210
95-th percentile14321.8
Maximum49254
Range49122
Interquartile range (IQR)5238.02

Descriptive statistics

Standard deviation7402.2857
Coefficient of variation (CV)1.4085691
Kurtosis16.896252
Mean5255.1812
Median Absolute Deviation (MAD)2423
Skewness3.6549497
Sum593835.47
Variance54793834
MonotonicityNot monotonic
2024-05-11T17:22:11.409552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2970.0 2
 
1.8%
216.0 2
 
1.8%
41308.0 1
 
0.9%
9166.0 1
 
0.9%
17586.85 1
 
0.9%
1696.0 1
 
0.9%
2819.0 1
 
0.9%
6760.0 1
 
0.9%
49254.0 1
 
0.9%
12988.0 1
 
0.9%
Other values (101) 101
89.4%
ValueCountFrequency (%)
132.0 1
0.9%
183.36 1
0.9%
184.0 1
0.9%
198.0 1
0.9%
209.0 1
0.9%
213.0 1
0.9%
216.0 2
1.8%
310.0 1
0.9%
312.0 1
0.9%
346.67 1
0.9%
ValueCountFrequency (%)
49254.0 1
0.9%
41308.0 1
0.9%
35540.0 1
0.9%
17586.85 1
0.9%
14915.0 1
0.9%
14803.0 1
0.9%
14001.0 1
0.9%
13410.0 1
0.9%
13159.0 1
0.9%
12988.0 1
0.9%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing113
Missing (%)100.0%
Memory size1.1 KiB

지번주소
Text

Distinct107
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-05-11T17:22:11.680113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length30
Mean length22.761062
Min length17

Characters and Unicode

Total characters2572
Distinct characters150
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

Unique103 ?
Unique (%)91.2%

Sample

1st row서울특별시 종로구 청진동 70번지
2nd row서울특별시 종로구 세종로 1-68 5호선 광화문역
3rd row서울특별시 종로구 세종로 1-68 5호선 광화문역
4th row서울특별시 종로구 세종로 81-3
5th row서울특별시 종로구 무악동 46번지
ValueCountFrequency (%)
종로구 114
20.4%
서울특별시 113
20.3%
1호 14
 
2.5%
창신동 11
 
2.0%
수송동 9
 
1.6%
세종로 8
 
1.4%
1번지 6
 
1.1%
숭인동 6
 
1.1%
무악동 6
 
1.1%
연지동 5
 
0.9%
Other values (198) 266
47.7%
2024-05-11T17:22:12.100193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
445
17.3%
로 138
 
5.4%
종 138
 
5.4%
서 123
 
4.8%
구 116
 
4.5%
울 116
 
4.5%
시 113
 
4.4%
별 113
 
4.4%
특 113
 
4.4%
동 94
 
3.7%
Other values (140) 1063
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1708
66.4%
Space Separator 445
 
17.3%
Decimal Number 390
 
15.2%
Dash Punctuation 27
 
1.0%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 138
 
8.1%
종 138
 
8.1%
서 123
 
7.2%
구 116
 
6.8%
울 116
 
6.8%
시 113
 
6.6%
별 113
 
6.6%
특 113
 
6.6%
동 94
 
5.5%
지 76
 
4.4%
Other values (126) 568
33.3%
Decimal Number
ValueCountFrequency (%)
1 94
24.1%
2 55
14.1%
8 46
11.8%
5 37
 
9.5%
0 31
 
7.9%
6 30
 
7.7%
4 28
 
7.2%
3 28
 
7.2%
7 24
 
6.2%
9 17
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
/ 1
50.0%
Space Separator
ValueCountFrequency (%)
445
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1708
66.4%
Common 864
33.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 138
 
8.1%
종 138
 
8.1%
서 123
 
7.2%
구 116
 
6.8%
울 116
 
6.8%
시 113
 
6.6%
별 113
 
6.6%
특 113
 
6.6%
동 94
 
5.5%
지 76
 
4.4%
Other values (126) 568
33.3%
Common
ValueCountFrequency (%)
445
51.5%
1 94
 
10.9%
2 55
 
6.4%
8 46
 
5.3%
5 37
 
4.3%
0 31
 
3.6%
6 30
 
3.5%
4 28
 
3.2%
3 28
 
3.2%
- 27
 
3.1%
Other values (4) 43
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1708
66.4%
ASCII 864
33.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
445
51.5%
1 94
 
10.9%
2 55
 
6.4%
8 46
 
5.3%
5 37
 
4.3%
0 31
 
3.6%
6 30
 
3.5%
4 28
 
3.2%
3 28
 
3.2%
- 27
 
3.1%
Other values (4) 43
 
5.0%
Hangul
ValueCountFrequency (%)
로 138
 
8.1%
종 138
 
8.1%
서 123
 
7.2%
구 116
 
6.8%
울 116
 
6.8%
시 113
 
6.6%
별 113
 
6.6%
특 113
 
6.6%
동 94
 
5.5%
지 76
 
4.4%
Other values (126) 568
33.3%

도로명주소
Text

Distinct110
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-05-11T17:22:12.357123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length43
Mean length34.176991
Min length21

Characters and Unicode

Total characters3862
Distinct characters225
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

Unique107 ?
Unique (%)94.7%

Sample

1st row서울특별시 종로구 종로 33 (청진동)
2nd row서울특별시 종로구 세종대로 지하172, 5호선 광화문역 지하1~3층 (세종로)
3rd row서울특별시 종로구 세종대로 지하172, 5호선 광화문역 지하1~3층 (세종로)
4th row서울특별시 종로구 세종대로 175(세종로)
5th row서울특별시 종로구 통일로 230 (무악동, 경희궁롯데캐슬)
ValueCountFrequency (%)
종로구 114
 
15.4%
서울특별시 113
 
15.3%
지하1층 18
 
2.4%
종로 17
 
2.3%
창신동 11
 
1.5%
지하 10
 
1.4%
수송동 9
 
1.2%
율곡로 8
 
1.1%
세종대로 7
 
0.9%
세종로 7
 
0.9%
Other values (301) 426
57.6%
2024-05-11T17:22:12.749970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
627
 
16.2%
로 247
 
6.4%
종 180
 
4.7%
서 129
 
3.3%
울 119
 
3.1%
구 118
 
3.1%
, 116
 
3.0%
) 115
 
3.0%
( 115
 
3.0%
별 113
 
2.9%
Other values (215) 1983
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2455
63.6%
Space Separator 627
 
16.2%
Decimal Number 410
 
10.6%
Other Punctuation 117
 
3.0%
Close Punctuation 115
 
3.0%
Open Punctuation 115
 
3.0%
Dash Punctuation 11
 
0.3%
Math Symbol 8
 
0.2%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 247
 
10.1%
종 180
 
7.3%
서 129
 
5.3%
울 119
 
4.8%
구 118
 
4.8%
별 113
 
4.6%
특 113
 
4.6%
시 113
 
4.6%
동 112
 
4.6%
지 73
 
3.0%
Other values (194) 1138
46.4%
Decimal Number
ValueCountFrequency (%)
1 109
26.6%
2 69
16.8%
3 52
12.7%
5 38
 
9.3%
4 28
 
6.8%
6 28
 
6.8%
0 25
 
6.1%
9 22
 
5.4%
8 20
 
4.9%
7 19
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
T 1
25.0%
K 1
25.0%
C 1
25.0%
S 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 116
99.1%
/ 1
 
0.9%
Space Separator
ValueCountFrequency (%)
627
100.0%
Close Punctuation
ValueCountFrequency (%)
) 115
100.0%
Open Punctuation
ValueCountFrequency (%)
( 115
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2455
63.6%
Common 1403
36.3%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 247
 
10.1%
종 180
 
7.3%
서 129
 
5.3%
울 119
 
4.8%
구 118
 
4.8%
별 113
 
4.6%
특 113
 
4.6%
시 113
 
4.6%
동 112
 
4.6%
지 73
 
3.0%
Other values (194) 1138
46.4%
Common
ValueCountFrequency (%)
627
44.7%
, 116
 
8.3%
) 115
 
8.2%
( 115
 
8.2%
1 109
 
7.8%
2 69
 
4.9%
3 52
 
3.7%
5 38
 
2.7%
4 28
 
2.0%
6 28
 
2.0%
Other values (7) 106
 
7.6%
Latin
ValueCountFrequency (%)
T 1
25.0%
K 1
25.0%
C 1
25.0%
S 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2455
63.6%
ASCII 1407
36.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
627
44.6%
, 116
 
8.2%
) 115
 
8.2%
( 115
 
8.2%
1 109
 
7.7%
2 69
 
4.9%
3 52
 
3.7%
5 38
 
2.7%
4 28
 
2.0%
6 28
 
2.0%
Other values (11) 110
 
7.8%
Hangul
ValueCountFrequency (%)
로 247
 
10.1%
종 180
 
7.3%
서 129
 
5.3%
울 119
 
4.8%
구 118
 
4.8%
별 113
 
4.6%
특 113
 
4.6%
시 113
 
4.6%
동 112
 
4.6%
지 73
 
3.0%
Other values (194) 1138
46.4%

도로명우편번호
Real number (ℝ)

Distinct73
Distinct (%)65.2%
Missing1
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean3116.3125
Minimum3004
Maximum3198
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T17:22:12.874294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3004
5-th percentile3020.4
Q13077
median3127.5
Q33160.25
95-th percentile3189.25
Maximum3198
Range194
Interquartile range (IQR)83.25

Descriptive statistics

Standard deviation55.036766
Coefficient of variation (CV)0.017660862
Kurtosis-0.91060491
Mean3116.3125
Median Absolute Deviation (MAD)42.5
Skewness-0.4591291
Sum349027
Variance3029.0456
MonotonicityNot monotonic
2024-05-11T17:22:13.009629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3154 5
 
4.4%
3170 4
 
3.5%
3032 3
 
2.7%
3130 3
 
2.7%
3187 3
 
2.7%
3195 3
 
2.7%
3025 3
 
2.7%
3151 3
 
2.7%
3173 3
 
2.7%
3198 2
 
1.8%
Other values (63) 80
70.8%
ValueCountFrequency (%)
3004 1
 
0.9%
3009 1
 
0.9%
3010 1
 
0.9%
3014 1
 
0.9%
3016 2
1.8%
3024 2
1.8%
3025 3
2.7%
3028 1
 
0.9%
3029 1
 
0.9%
3030 1
 
0.9%
ValueCountFrequency (%)
3198 2
1.8%
3195 3
2.7%
3192 1
 
0.9%
3187 3
2.7%
3184 1
 
0.9%
3183 1
 
0.9%
3182 1
 
0.9%
3181 2
1.8%
3180 1
 
0.9%
3175 1
 
0.9%

사업장명
Text

UNIQUE 

Distinct113
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-05-11T17:22:13.271168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length20
Mean length15.265487
Min length6

Characters and Unicode

Total characters1725
Distinct characters227
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

Unique113 ?
Unique (%)100.0%

Sample

1st rowGS건설, 그랑서울 지하2~7층
2nd row지하철5호선 광화문역 지하1~3층 대합실 승강장
3rd row광화문사거리 지하1층 지하중앙보도
4th row세종문화회관 지하2층 세종?충무공이야기 전시관
5th row경희궁롯데캐슬아파트 지하2층
ValueCountFrequency (%)
지하1층 44
 
14.6%
지하2층 14
 
4.7%
대합실 14
 
4.7%
승강장 13
 
4.3%
지하1~2층 8
 
2.7%
지하2~3층 6
 
2.0%
지하2~4층 5
 
1.7%
지하철1호선 5
 
1.7%
지하주차장 4
 
1.3%
주차장 4
 
1.3%
Other values (162) 184
61.1%
2024-05-11T17:22:13.616978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
190
 
11.0%
지 130
 
7.5%
하 128
 
7.4%
층 108
 
6.3%
1 70
 
4.1%
2 47
 
2.7%
대 38
 
2.2%
~ 38
 
2.2%
빌 33
 
1.9%
딩 32
 
1.9%
Other values (217) 911
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1300
75.4%
Space Separator 190
 
11.0%
Decimal Number 172
 
10.0%
Math Symbol 38
 
2.2%
Other Punctuation 9
 
0.5%
Uppercase Letter 9
 
0.5%
Open Punctuation 3
 
0.2%
Close Punctuation 3
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 130
 
10.0%
하 128
 
9.8%
층 108
 
8.3%
대 38
 
2.9%
빌 33
 
2.5%
딩 32
 
2.5%
장 26
 
2.0%
교 25
 
1.9%
관 19
 
1.5%
종 18
 
1.4%
Other values (197) 743
57.2%
Decimal Number
ValueCountFrequency (%)
1 70
40.7%
2 47
27.3%
3 21
 
12.2%
4 16
 
9.3%
5 9
 
5.2%
6 5
 
2.9%
0 2
 
1.2%
7 2
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
S 3
33.3%
K 2
22.2%
G 2
22.2%
T 1
 
11.1%
C 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
, 8
88.9%
? 1
 
11.1%
Space Separator
ValueCountFrequency (%)
190
100.0%
Math Symbol
ValueCountFrequency (%)
~ 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1300
75.4%
Common 416
 
24.1%
Latin 9
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 130
 
10.0%
하 128
 
9.8%
층 108
 
8.3%
대 38
 
2.9%
빌 33
 
2.5%
딩 32
 
2.5%
장 26
 
2.0%
교 25
 
1.9%
관 19
 
1.5%
종 18
 
1.4%
Other values (197) 743
57.2%
Common
ValueCountFrequency (%)
190
45.7%
1 70
 
16.8%
2 47
 
11.3%
~ 38
 
9.1%
3 21
 
5.0%
4 16
 
3.8%
5 9
 
2.2%
, 8
 
1.9%
6 5
 
1.2%
( 3
 
0.7%
Other values (5) 9
 
2.2%
Latin
ValueCountFrequency (%)
S 3
33.3%
K 2
22.2%
G 2
22.2%
T 1
 
11.1%
C 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1300
75.4%
ASCII 425
 
24.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
190
44.7%
1 70
 
16.5%
2 47
 
11.1%
~ 38
 
8.9%
3 21
 
4.9%
4 16
 
3.8%
5 9
 
2.1%
, 8
 
1.9%
6 5
 
1.2%
( 3
 
0.7%
Other values (10) 18
 
4.2%
Hangul
ValueCountFrequency (%)
지 130
 
10.0%
하 128
 
9.8%
층 108
 
8.3%
대 38
 
2.9%
빌 33
 
2.5%
딩 32
 
2.5%
장 26
 
2.0%
교 25
 
1.9%
관 19
 
1.5%
종 18
 
1.4%
Other values (197) 743
57.2%

최종수정일자
Date

UNIQUE 

Distinct113
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2013-12-13 19:50:55
Maximum2024-01-30 12:08:47
2024-05-11T17:22:13.745923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:22:13.879343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
U
112 
I
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
U 112
99.1%
I 1
 
0.9%

Length

2024-05-11T17:22:13.988985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:22:14.067553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 112
99.1%
i 1
 
0.9%

데이터갱신일자
Categorical

Distinct33
Distinct (%)29.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2022-10-30 22:08:00.0
23 
2023-11-30 22:06:00.0
12 
2023-01-13 02:40:00.0
10 
2023-11-30 22:05:00.0
6 
2023-06-18 02:40:00.0
 
5
Other values (28)
57 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique14 ?
Unique (%)12.4%

Sample

1st row2022-10-30 21:01:00.0
2nd row2022-12-06 23:09:00.0
3rd row2022-12-06 23:09:00.0
4th row2022-10-31 23:02:00.0
5th row2023-11-30 22:05:00.0

Common Values

ValueCountFrequency (%)
2022-10-30 22:08:00.0 23
20.4%
2023-11-30 22:06:00.0 12
 
10.6%
2023-01-13 02:40:00.0 10
 
8.8%
2023-11-30 22:05:00.0 6
 
5.3%
2023-06-18 02:40:00.0 5
 
4.4%
2023-02-11 02:40:00.0 5
 
4.4%
2023-07-13 02:40:00.0 5
 
4.4%
2023-04-02 02:40:00.0 4
 
3.5%
2022-10-30 22:09:00.0 4
 
3.5%
2022-12-06 22:07:00.0 3
 
2.7%
Other values (23) 36
31.9%

Length

2024-05-11T17:22:14.149471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
02:40:00.0 41
18.1%
2022-10-30 28
12.4%
2023-11-30 26
 
11.5%
22:08:00.0 23
 
10.2%
22:06:00.0 12
 
5.3%
2023-01-13 10
 
4.4%
22:05:00.0 6
 
2.7%
22:07:00.0 5
 
2.2%
2023-06-18 5
 
2.2%
2023-02-11 5
 
2.2%
Other values (30) 65
28.8%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing113
Missing (%)100.0%
Memory size1.1 KiB

좌표정보(X)
Real number (ℝ)

Distinct106
Distinct (%)94.6%
Missing1
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean198871.49
Minimum195960.55
Maximum201962.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T17:22:14.267139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195960.55
5-th percentile196393.33
Q1197767.66
median198605.27
Q3200039.14
95-th percentile201302.6
Maximum201962.63
Range6002.083
Interquartile range (IQR)2271.4875

Descriptive statistics

Standard deviation1559.5348
Coefficient of variation (CV)0.0078419226
Kurtosis-0.9520842
Mean198871.49
Median Absolute Deviation (MAD)1248.1521
Skewness0.1178789
Sum22273606
Variance2432148.8
MonotonicityNot monotonic
2024-05-11T17:22:14.384964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
197889.89798215 4
 
3.5%
200764.419989234 2
 
1.8%
200102.76213064 2
 
1.8%
195960.546025512 2
 
1.8%
198286.311784052 1
 
0.9%
201192.534300327 1
 
0.9%
197547.844298682 1
 
0.9%
197595.161312175 1
 
0.9%
199409.047233582 1
 
0.9%
198279.787364709 1
 
0.9%
Other values (96) 96
85.0%
ValueCountFrequency (%)
195960.546025512 2
1.8%
196171.32627844 1
0.9%
196295.291996294 1
0.9%
196337.521555652 1
0.9%
196362.383519597 1
0.9%
196418.657812593 1
0.9%
196429.651180919 1
0.9%
196467.975088253 1
0.9%
196483.433079266 1
0.9%
196809.4580779 1
0.9%
ValueCountFrequency (%)
201962.62904341 1
0.9%
201798.834918812 1
0.9%
201747.387869472 1
0.9%
201728.010848506 1
0.9%
201444.469887912 1
0.9%
201327.312868803 1
0.9%
201282.378349367 1
0.9%
201273.887781838 1
0.9%
201272.166156223 1
0.9%
201209.944592706 1
0.9%

좌표정보(Y)
Real number (ℝ)

Distinct106
Distinct (%)94.6%
Missing1
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean452708.43
Minimum451543.63
Maximum456510.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T17:22:14.516851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451543.63
5-th percentile451942.33
Q1452163.99
median452379.09
Q3452778.36
95-th percentile454850.57
Maximum456510.85
Range4967.2183
Interquartile range (IQR)614.37285

Descriptive statistics

Standard deviation965.56996
Coefficient of variation (CV)0.0021328738
Kurtosis5.587004
Mean452708.43
Median Absolute Deviation (MAD)260.50866
Skewness2.3140768
Sum50703344
Variance932325.35
MonotonicityNot monotonic
2024-05-11T17:22:14.870550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452238.323737682 4
 
3.5%
452037.738088906 2
 
1.8%
452082.537289396 2
 
1.8%
455612.122672739 2
 
1.8%
452091.444332546 1
 
0.9%
452436.247037246 1
 
0.9%
452453.751756454 1
 
0.9%
452460.054621887 1
 
0.9%
452485.172726144 1
 
0.9%
452430.699653992 1
 
0.9%
Other values (96) 96
85.0%
ValueCountFrequency (%)
451543.629004831 1
0.9%
451776.44366444 1
0.9%
451845.237292408 1
0.9%
451895.315280955 1
0.9%
451917.062537808 1
0.9%
451939.677286976 1
0.9%
451944.499629593 1
0.9%
451945.047247204 1
0.9%
451994.05947363 1
0.9%
451996.680862782 1
0.9%
ValueCountFrequency (%)
456510.847272901 1
0.9%
456469.303798636 1
0.9%
456108.810250198 1
0.9%
455658.053298598 1
0.9%
455612.122672739 2
1.8%
454227.479528793 1
0.9%
454222.425498642 1
0.9%
454009.5047516 1
0.9%
453792.509161838 1
0.9%
453777.751584991 1
0.9%

비상시설위치
Text

MISSING 

Distinct42
Distinct (%)97.7%
Missing70
Missing (%)61.9%
Memory size1.0 KiB
2024-05-11T17:22:15.113430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length29
Mean length23.511628
Min length17

Characters and Unicode

Total characters1011
Distinct characters106
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

Unique41 ?
Unique (%)95.3%

Sample

1st row서울특별시 종로구 평동 210 서대문역
2nd row서울특별시 종로구 평동 108-1 강북삼성병원
3rd row서울특별시 종로구 창신동 138번지 32호
4th row서울특별시 종로구 도렴동 60 도렴빌딩
5th row서울특별시 종로구 당주동 145
ValueCountFrequency (%)
종로구 44
20.3%
서울특별시 43
19.8%
1호 6
 
2.8%
연지동 5
 
2.3%
당주동 4
 
1.8%
1번지 3
 
1.4%
연건동 3
 
1.4%
혜화동 3
 
1.4%
신교동 3
 
1.4%
창신동 2
 
0.9%
Other values (90) 101
46.5%
2024-05-11T17:22:15.502402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
174
17.2%
종 53
 
5.2%
로 53
 
5.2%
서 47
 
4.6%
울 46
 
4.5%
구 45
 
4.5%
특 43
 
4.3%
별 43
 
4.3%
시 43
 
4.3%
1 43
 
4.3%
Other values (96) 421
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 670
66.3%
Space Separator 174
 
17.2%
Decimal Number 153
 
15.1%
Dash Punctuation 13
 
1.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
종 53
 
7.9%
로 53
 
7.9%
서 47
 
7.0%
울 46
 
6.9%
구 45
 
6.7%
특 43
 
6.4%
별 43
 
6.4%
시 43
 
6.4%
동 33
 
4.9%
지 30
 
4.5%
Other values (83) 234
34.9%
Decimal Number
ValueCountFrequency (%)
1 43
28.1%
2 23
15.0%
8 16
 
10.5%
5 13
 
8.5%
4 11
 
7.2%
7 11
 
7.2%
3 10
 
6.5%
6 10
 
6.5%
0 9
 
5.9%
9 7
 
4.6%
Space Separator
ValueCountFrequency (%)
174
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 670
66.3%
Common 341
33.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
종 53
 
7.9%
로 53
 
7.9%
서 47
 
7.0%
울 46
 
6.9%
구 45
 
6.7%
특 43
 
6.4%
별 43
 
6.4%
시 43
 
6.4%
동 33
 
4.9%
지 30
 
4.5%
Other values (83) 234
34.9%
Common
ValueCountFrequency (%)
174
51.0%
1 43
 
12.6%
2 23
 
6.7%
8 16
 
4.7%
- 13
 
3.8%
5 13
 
3.8%
4 11
 
3.2%
7 11
 
3.2%
3 10
 
2.9%
6 10
 
2.9%
Other values (3) 17
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 670
66.3%
ASCII 341
33.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
174
51.0%
1 43
 
12.6%
2 23
 
6.7%
8 16
 
4.7%
- 13
 
3.8%
5 13
 
3.8%
4 11
 
3.2%
7 11
 
3.2%
3 10
 
2.9%
6 10
 
2.9%
Other values (3) 17
 
5.0%
Hangul
ValueCountFrequency (%)
종 53
 
7.9%
로 53
 
7.9%
서 47
 
7.0%
울 46
 
6.9%
구 45
 
6.7%
특 43
 
6.4%
별 43
 
6.4%
시 43
 
6.4%
동 33
 
4.9%
지 30
 
4.5%
Other values (83) 234
34.9%

시설구분명
Categorical

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
70 
공공용시설
42 
공공시설
 
1

Length

Max length5
Median length4
Mean length4.3716814
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> 70
61.9%
공공용시설 42
37.2%
공공시설 1
 
0.9%

Length

2024-05-11T17:22:15.621448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:22:15.708617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 70
61.9%
공공용시설 42
37.2%
공공시설 1
 
0.9%

시설명_건물명
Text

MISSING 

Distinct43
Distinct (%)100.0%
Missing70
Missing (%)61.9%
Memory size1.0 KiB
2024-05-11T17:22:15.887109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length19
Mean length14.744186
Min length6

Characters and Unicode

Total characters634
Distinct characters145
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

Unique43 ?
Unique (%)100.0%

Sample

1st row지하철5호선 서대문역 대합실 승강장
2nd row강북삼성병원 지하2층
3rd row창신성결교회 지하1층
4th row도렴빌딩 지하1~2층
5th row미도파광화문빌딩 지하2층
ValueCountFrequency (%)
지하1층 20
 
18.3%
지하2층 5
 
4.6%
대합실 4
 
3.7%
승강장 4
 
3.7%
지하1~2층 3
 
2.8%
주차장 2
 
1.8%
동원빌딩 2
 
1.8%
서울대학교병원 2
 
1.8%
지하1~5층 2
 
1.8%
연강빌딩 1
 
0.9%
Other values (64) 64
58.7%
2024-05-11T17:22:16.229914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
68
 
10.7%
지 46
 
7.3%
하 45
 
7.1%
층 40
 
6.3%
1 28
 
4.4%
교 16
 
2.5%
대 16
 
2.5%
딩 14
 
2.2%
빌 14
 
2.2%
2 13
 
2.1%
Other values (135) 334
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 487
76.8%
Space Separator 68
 
10.7%
Decimal Number 58
 
9.1%
Math Symbol 9
 
1.4%
Other Punctuation 6
 
0.9%
Uppercase Letter 3
 
0.5%
Dash Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 46
 
9.4%
하 45
 
9.2%
층 40
 
8.2%
교 16
 
3.3%
대 16
 
3.3%
딩 14
 
2.9%
빌 14
 
2.9%
학 11
 
2.3%
장 10
 
2.1%
원 8
 
1.6%
Other values (119) 267
54.8%
Decimal Number
ValueCountFrequency (%)
1 28
48.3%
2 13
22.4%
5 5
 
8.6%
3 5
 
8.6%
4 4
 
6.9%
0 2
 
3.4%
6 1
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
G 1
33.3%
T 1
33.3%
K 1
33.3%
Space Separator
ValueCountFrequency (%)
68
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 487
76.8%
Common 144
 
22.7%
Latin 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 46
 
9.4%
하 45
 
9.2%
층 40
 
8.2%
교 16
 
3.3%
대 16
 
3.3%
딩 14
 
2.9%
빌 14
 
2.9%
학 11
 
2.3%
장 10
 
2.1%
원 8
 
1.6%
Other values (119) 267
54.8%
Common
ValueCountFrequency (%)
68
47.2%
1 28
19.4%
2 13
 
9.0%
~ 9
 
6.2%
, 6
 
4.2%
5 5
 
3.5%
3 5
 
3.5%
4 4
 
2.8%
0 2
 
1.4%
- 1
 
0.7%
Other values (3) 3
 
2.1%
Latin
ValueCountFrequency (%)
G 1
33.3%
T 1
33.3%
K 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 487
76.8%
ASCII 147
 
23.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
68
46.3%
1 28
19.0%
2 13
 
8.8%
~ 9
 
6.1%
, 6
 
4.1%
5 5
 
3.4%
3 5
 
3.4%
4 4
 
2.7%
0 2
 
1.4%
- 1
 
0.7%
Other values (6) 6
 
4.1%
Hangul
ValueCountFrequency (%)
지 46
 
9.4%
하 45
 
9.2%
층 40
 
8.2%
교 16
 
3.3%
대 16
 
3.3%
딩 14
 
2.9%
빌 14
 
2.9%
학 11
 
2.3%
장 10
 
2.1%
원 8
 
1.6%
Other values (119) 267
54.8%

해제일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
112 
20131127
 
1

Length

Max length8
Median length4
Mean length4.0353982
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
99.1%
20131127 1
 
0.9%

Length

2024-05-11T17:22:16.368757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:22:16.459258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 112
99.1%
20131127 1
 
0.9%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
030000003000000-S2014000012014-07-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>41308.0<NA>서울특별시 종로구 청진동 70번지서울특별시 종로구 종로 33 (청진동)3159GS건설, 그랑서울 지하2~7층2023-10-29 17:27:32U2022-10-30 21:01:00.0<NA>198286.311784452091.444333<NA><NA><NA><NA>
130000003000000-S2011000022011-01-03<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>9441.0<NA>서울특별시 종로구 세종로 1-68 5호선 광화문역서울특별시 종로구 세종대로 지하172, 5호선 광화문역 지하1~3층 (세종로)3154지하철5호선 광화문역 지하1~3층 대합실 승강장2023-07-17 14:50:50U2022-12-06 23:09:00.0<NA>197889.897982452238.323738<NA><NA><NA><NA>
230000003000000-S2007001052009-12-15<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>547.0<NA>서울특별시 종로구 세종로 1-68 5호선 광화문역서울특별시 종로구 세종대로 지하172, 5호선 광화문역 지하1~3층 (세종로)3154광화문사거리 지하1층 지하중앙보도2023-07-17 14:41:57U2022-12-06 23:09:00.0<NA>197889.897982452238.323738<NA><NA><NA><NA>
330000003000000-S2007001082009-12-15<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>2859.0<NA>서울특별시 종로구 세종로 81-3서울특별시 종로구 세종대로 175(세종로)3172세종문화회관 지하2층 세종?충무공이야기 전시관2023-11-10 14:13:48U2022-10-31 23:02:00.0<NA>197804.357783452216.539275<NA><NA><NA><NA>
430000003000000-S2019000012019-05-15<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>9490.0<NA>서울특별시 종로구 무악동 46번지서울특별시 종로구 통일로 230 (무악동, 경희궁롯데캐슬)3030경희궁롯데캐슬아파트 지하2층2024-01-23 11:32:59U2023-11-30 22:05:00.0<NA>196337.521556452392.511944<NA><NA><NA><NA>
530000003000000-S2018000022018-05-23<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>3440.0<NA>서울특별시 종로구 무악동 88 인왕산2차아이파크아파트서울특별시 종로구 통일로18길 34, 201동 지하1층 (무악동, 인왕산2차아이파크아파트)3024인왕산2차 아이파크아파트 지하1층2024-01-23 11:32:24U2023-11-30 22:05:00.0<NA>196362.38352452605.640921<NA><NA><NA><NA>
630000003000000-S2011000012011-01-03<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>1295.0<NA>서울특별시 종로구 무악동 60 인왕산아이파크서울특별시 종로구 통일로16길 8-3, 109동 지하1층 (무악동, 인왕산아이파크)3024인왕산아이파크아파트 주차장 지하2층2024-01-23 11:31:41U2023-11-30 22:05:00.0<NA>196171.326278452746.033014<NA><NA><NA><NA>
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개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
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10930000003000000-S2018000032018-07-09<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>745.71<NA>서울특별시 종로구 원서동 165 원서빌딩서울특별시 종로구 창덕궁1길 13, 원서빌딩 (원서동)3058원서빌딩 지하주차장 1층2024-01-02 11:54:04U2023-12-01 00:04:00.0<NA>198918.174022452972.557051<NA><NA><NA><NA>
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