Overview

Dataset statistics

Number of variables27
Number of observations3952
Missing cells34084
Missing cells (%)31.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory868.5 KiB
Average record size in memory225.0 B

Variable types

Categorical6
Text7
DateTime7
Numeric4
Unsupported3

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),지정일자,민원종류명
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-19913/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
상세영업상태명 is highly imbalanced (54.0%)Imbalance
인허가취소일자 has 3531 (89.3%) missing valuesMissing
폐업일자 has 1174 (29.7%) missing valuesMissing
휴업시작일자 has 3857 (97.6%) missing valuesMissing
휴업종료일자 has 3858 (97.6%) missing valuesMissing
재개업일자 has 3952 (100.0%) missing valuesMissing
전화번호 has 1858 (47.0%) missing valuesMissing
소재지면적 has 3952 (100.0%) missing valuesMissing
소재지우편번호 has 2810 (71.1%) missing valuesMissing
도로명주소 has 382 (9.7%) missing valuesMissing
도로명우편번호 has 2587 (65.5%) missing valuesMissing
업태구분명 has 3952 (100.0%) missing valuesMissing
좌표정보(X) has 286 (7.2%) missing valuesMissing
좌표정보(Y) has 286 (7.2%) missing valuesMissing
지정일자 has 1595 (40.4%) missing valuesMissing
관리번호 has unique valuesUnique
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
상세영업상태코드 has 731 (18.5%) zerosZeros

Reproduction

Analysis started2024-04-06 11:05:52.256790
Analysis finished2024-04-06 11:05:54.184557
Duration1.93 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.0 KiB
3110000
3952 

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 3952
100.0%

Length

2024-04-06T20:05:54.286433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:05:54.522358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 3952
100.0%

관리번호
Text

UNIQUE 

Distinct3952
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size31.0 KiB
2024-04-06T20:05:54.810105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters75088
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

Unique3952 ?
Unique (%)100.0%

Sample

1st row1920311008805601251
2nd row1959311008805600591
3rd row1960311008805600208
4th row1961311008805600570
5th row1961311008805600921
ValueCountFrequency (%)
1920311008805601251 1
 
< 0.1%
2011311013105600086 1
 
< 0.1%
2011311013105600088 1
 
< 0.1%
2011311013105600089 1
 
< 0.1%
2011311013105600090 1
 
< 0.1%
2011311013105600091 1
 
< 0.1%
2011311013105600092 1
 
< 0.1%
2011311013105600093 1
 
< 0.1%
2011311013105600094 1
 
< 0.1%
2011311013105600095 1
 
< 0.1%
Other values (3942) 3942
99.7%
2024-04-06T20:05:55.336889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 25221
33.6%
1 16685
22.2%
3 6778
 
9.0%
2 5397
 
7.2%
6 5191
 
6.9%
5 5187
 
6.9%
9 3851
 
5.1%
8 3821
 
5.1%
7 1635
 
2.2%
4 1310
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 75076
> 99.9%
Dash Punctuation 12
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 25221
33.6%
1 16685
22.2%
3 6778
 
9.0%
2 5397
 
7.2%
6 5191
 
6.9%
5 5187
 
6.9%
9 3851
 
5.1%
8 3821
 
5.1%
7 1635
 
2.2%
4 1310
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 75088
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 25221
33.6%
1 16685
22.2%
3 6778
 
9.0%
2 5397
 
7.2%
6 5191
 
6.9%
5 5187
 
6.9%
9 3851
 
5.1%
8 3821
 
5.1%
7 1635
 
2.2%
4 1310
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 75088
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 25221
33.6%
1 16685
22.2%
3 6778
 
9.0%
2 5397
 
7.2%
6 5191
 
6.9%
5 5187
 
6.9%
9 3851
 
5.1%
8 3821
 
5.1%
7 1635
 
2.2%
4 1310
 
1.7%
Distinct2592
Distinct (%)65.6%
Missing0
Missing (%)0.0%
Memory size31.0 KiB
Minimum1920-12-26 00:00:00
Maximum2024-03-18 00:00:00
2024-04-06T20:05:55.608166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:05:55.826325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct188
Distinct (%)44.7%
Missing3531
Missing (%)89.3%
Memory size31.0 KiB
Minimum1991-02-05 00:00:00
Maximum2024-03-26 00:00:00
2024-04-06T20:05:56.064096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:05:56.323448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.0 KiB
3
2778 
1
731 
4
440 
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 2778
70.3%
1 731
 
18.5%
4 440
 
11.1%
2 3
 
0.1%

Length

2024-04-06T20:05:56.562105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:05:56.762512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2778
70.3%
1 731
 
18.5%
4 440
 
11.1%
2 3
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.0 KiB
폐업
2778 
영업/정상
731 
취소/말소/만료/정지/중지
440 
휴업
 
3

Length

Max length14
Median length2
Mean length3.8909413
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2778
70.3%
영업/정상 731
 
18.5%
취소/말소/만료/정지/중지 440
 
11.1%
휴업 3
 
0.1%

Length

2024-04-06T20:05:56.982599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:05:57.151925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2778
70.3%
영업/정상 731
 
18.5%
취소/말소/만료/정지/중지 440
 
11.1%
휴업 3
 
0.1%

상세영업상태코드
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.826417
Minimum0
Maximum6
Zeros731
Zeros (%)18.5%
Negative0
Negative (%)0.0%
Memory size34.9 KiB
2024-04-06T20:05:57.329355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median2
Q32
95-th percentile3
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.08029
Coefficient of variation (CV)0.5914805
Kurtosis1.8939698
Mean1.826417
Median Absolute Deviation (MAD)0
Skewness0.29803543
Sum7218
Variance1.1670266
MonotonicityNot monotonic
2024-04-06T20:05:57.497511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 2778
70.3%
0 731
 
18.5%
3 270
 
6.8%
5 161
 
4.1%
4 5
 
0.1%
6 4
 
0.1%
1 3
 
0.1%
ValueCountFrequency (%)
0 731
 
18.5%
1 3
 
0.1%
2 2778
70.3%
3 270
 
6.8%
4 5
 
0.1%
5 161
 
4.1%
6 4
 
0.1%
ValueCountFrequency (%)
6 4
 
0.1%
5 161
 
4.1%
4 5
 
0.1%
3 270
 
6.8%
2 2778
70.3%
1 3
 
0.1%
0 731
 
18.5%

상세영업상태명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size31.0 KiB
폐업처리
2778 
정상영업
731 
직권취소
 
270
지정취소
 
161
임시소매기간만료
 
5
Other values (2)
 
7

Length

Max length8
Median length4
Mean length4.0050607
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 2778
70.3%
정상영업 731
 
18.5%
직권취소 270
 
6.8%
지정취소 161
 
4.1%
임시소매기간만료 5
 
0.1%
영업정지 4
 
0.1%
휴업처리 3
 
0.1%

Length

2024-04-06T20:05:57.765940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:05:57.927279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 2778
70.3%
정상영업 731
 
18.5%
직권취소 270
 
6.8%
지정취소 161
 
4.1%
임시소매기간만료 5
 
0.1%
영업정지 4
 
0.1%
휴업처리 3
 
0.1%

폐업일자
Date

MISSING 

Distinct2054
Distinct (%)73.9%
Missing1174
Missing (%)29.7%
Memory size31.0 KiB
Minimum1997-02-10 00:00:00
Maximum2024-04-04 00:00:00
2024-04-06T20:05:58.127206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:05:58.359692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct88
Distinct (%)92.6%
Missing3857
Missing (%)97.6%
Memory size31.0 KiB
Minimum2001-05-03 00:00:00
Maximum2024-01-15 00:00:00
2024-04-06T20:05:58.582484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:05:58.801030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업종료일자
Date

MISSING 

Distinct87
Distinct (%)92.6%
Missing3858
Missing (%)97.6%
Memory size31.0 KiB
Minimum2001-05-31 00:00:00
Maximum2024-02-14 00:00:00
2024-04-06T20:05:59.046911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:05:59.749990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3952
Missing (%)100.0%
Memory size34.9 KiB

전화번호
Text

MISSING 

Distinct1817
Distinct (%)86.8%
Missing1858
Missing (%)47.0%
Memory size31.0 KiB
2024-04-06T20:06:00.250586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length8.7889207
Min length1

Characters and Unicode

Total characters18404
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1685 ?
Unique (%)80.5%

Sample

1st row3081025
2nd row023743 840
3rd row3570705
4th row02 3880428
5th row02 3738282
ValueCountFrequency (%)
02 889
30.4%
0 25
 
0.9%
3503447 17
 
0.6%
1577-0711 12
 
0.4%
7662711 7
 
0.2%
3575029 5
 
0.2%
031 5
 
0.2%
02-355-4185 4
 
0.1%
3094304 4
 
0.1%
3595588 4
 
0.1%
Other values (1753) 1951
66.7%
2024-04-06T20:06:01.052052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 2927
15.9%
0 2599
14.1%
2 2354
12.8%
5 1822
9.9%
8 1725
9.4%
7 1257
6.8%
4 1100
 
6.0%
6 1016
 
5.5%
- 934
 
5.1%
9 920
 
5.0%
Other values (3) 1750
9.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16638
90.4%
Dash Punctuation 934
 
5.1%
Space Separator 831
 
4.5%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 2927
17.6%
0 2599
15.6%
2 2354
14.1%
5 1822
11.0%
8 1725
10.4%
7 1257
7.6%
4 1100
 
6.6%
6 1016
 
6.1%
9 920
 
5.5%
1 918
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 934
100.0%
Space Separator
ValueCountFrequency (%)
831
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18404
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 2927
15.9%
0 2599
14.1%
2 2354
12.8%
5 1822
9.9%
8 1725
9.4%
7 1257
6.8%
4 1100
 
6.0%
6 1016
 
5.5%
- 934
 
5.1%
9 920
 
5.0%
Other values (3) 1750
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18404
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 2927
15.9%
0 2599
14.1%
2 2354
12.8%
5 1822
9.9%
8 1725
9.4%
7 1257
6.8%
4 1100
 
6.0%
6 1016
 
5.5%
- 934
 
5.1%
9 920
 
5.0%
Other values (3) 1750
9.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3952
Missing (%)100.0%
Memory size34.9 KiB

소재지우편번호
Text

MISSING 

Distinct203
Distinct (%)17.8%
Missing2810
Missing (%)71.1%
Memory size31.0 KiB
2024-04-06T20:06:01.660248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0516637
Min length6

Characters and Unicode

Total characters6911
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)5.4%

Sample

1st row122929
2nd row122813
3rd row122809
4th row122900
5th row122889
ValueCountFrequency (%)
122200 72
 
6.3%
122010 35
 
3.1%
122891 26
 
2.3%
122070 26
 
2.3%
122050 25
 
2.2%
122040 24
 
2.1%
122842 23
 
2.0%
122882 22
 
1.9%
122900 21
 
1.8%
122935 20
 
1.8%
Other values (193) 848
74.3%
2024-04-06T20:06:02.445738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 2564
37.1%
1 1443
20.9%
0 820
 
11.9%
8 688
 
10.0%
9 429
 
6.2%
7 227
 
3.3%
3 208
 
3.0%
4 188
 
2.7%
5 166
 
2.4%
6 112
 
1.6%
Other values (2) 66
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6845
99.0%
Dash Punctuation 59
 
0.9%
Space Separator 7
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 2564
37.5%
1 1443
21.1%
0 820
 
12.0%
8 688
 
10.1%
9 429
 
6.3%
7 227
 
3.3%
3 208
 
3.0%
4 188
 
2.7%
5 166
 
2.4%
6 112
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 59
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6911
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 2564
37.1%
1 1443
20.9%
0 820
 
11.9%
8 688
 
10.0%
9 429
 
6.2%
7 227
 
3.3%
3 208
 
3.0%
4 188
 
2.7%
5 166
 
2.4%
6 112
 
1.6%
Other values (2) 66
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6911
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 2564
37.1%
1 1443
20.9%
0 820
 
11.9%
8 688
 
10.0%
9 429
 
6.2%
7 227
 
3.3%
3 208
 
3.0%
4 188
 
2.7%
5 166
 
2.4%
6 112
 
1.6%
Other values (2) 66
 
1.0%
Distinct3381
Distinct (%)85.6%
Missing4
Missing (%)0.1%
Memory size31.0 KiB
2024-04-06T20:06:03.084643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length56
Mean length25.843212
Min length16

Characters and Unicode

Total characters102029
Distinct characters331
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2936 ?
Unique (%)74.4%

Sample

1st row서울특별시 은평구 증산동 157번지 31호
2nd row서울특별시 은평구 응암동 297번지 56호
3rd row서울특별시 은평구 불광동 280번지 124호
4th row서울특별시 은평구 응암동 597번지 9 호
5th row서울특별시 은평구 응암동 61번지 53호
ValueCountFrequency (%)
서울특별시 3947
 
18.0%
은평구 3947
 
18.0%
628
 
2.9%
응암동 588
 
2.7%
1층 469
 
2.1%
불광동 435
 
2.0%
1호 415
 
1.9%
갈현동 410
 
1.9%
역촌동 385
 
1.8%
대조동 342
 
1.6%
Other values (1923) 10302
47.1%
2024-04-06T20:06:03.955457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21848
21.4%
1 4789
 
4.7%
4211
 
4.1%
4138
 
4.1%
4100
 
4.0%
4098
 
4.0%
3969
 
3.9%
3961
 
3.9%
3955
 
3.9%
3947
 
3.9%
Other values (321) 43013
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60441
59.2%
Space Separator 21848
 
21.4%
Decimal Number 19085
 
18.7%
Dash Punctuation 309
 
0.3%
Uppercase Letter 143
 
0.1%
Other Punctuation 107
 
0.1%
Close Punctuation 38
 
< 0.1%
Open Punctuation 38
 
< 0.1%
Lowercase Letter 11
 
< 0.1%
Math Symbol 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4211
 
7.0%
4138
 
6.8%
4100
 
6.8%
4098
 
6.8%
3969
 
6.6%
3961
 
6.6%
3955
 
6.5%
3947
 
6.5%
3947
 
6.5%
3877
 
6.4%
Other values (282) 20238
33.5%
Uppercase Letter
ValueCountFrequency (%)
B 65
45.5%
M 13
 
9.1%
C 13
 
9.1%
A 12
 
8.4%
D 12
 
8.4%
X 5
 
3.5%
J 5
 
3.5%
S 4
 
2.8%
R 4
 
2.8%
K 3
 
2.1%
Other values (3) 7
 
4.9%
Decimal Number
ValueCountFrequency (%)
1 4789
25.1%
2 2746
14.4%
3 2120
11.1%
4 1777
 
9.3%
0 1530
 
8.0%
5 1504
 
7.9%
6 1171
 
6.1%
9 1162
 
6.1%
8 1158
 
6.1%
7 1128
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 84
78.5%
* 12
 
11.2%
. 6
 
5.6%
: 4
 
3.7%
? 1
 
0.9%
Lowercase Letter
ValueCountFrequency (%)
e 7
63.6%
a 1
 
9.1%
c 1
 
9.1%
h 1
 
9.1%
g 1
 
9.1%
Space Separator
ValueCountFrequency (%)
21848
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 309
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60441
59.2%
Common 41433
40.6%
Latin 155
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4211
 
7.0%
4138
 
6.8%
4100
 
6.8%
4098
 
6.8%
3969
 
6.6%
3961
 
6.6%
3955
 
6.5%
3947
 
6.5%
3947
 
6.5%
3877
 
6.4%
Other values (282) 20238
33.5%
Common
ValueCountFrequency (%)
21848
52.7%
1 4789
 
11.6%
2 2746
 
6.6%
3 2120
 
5.1%
4 1777
 
4.3%
0 1530
 
3.7%
5 1504
 
3.6%
6 1171
 
2.8%
9 1162
 
2.8%
8 1158
 
2.8%
Other values (10) 1628
 
3.9%
Latin
ValueCountFrequency (%)
B 65
41.9%
M 13
 
8.4%
C 13
 
8.4%
A 12
 
7.7%
D 12
 
7.7%
e 7
 
4.5%
X 5
 
3.2%
J 5
 
3.2%
S 4
 
2.6%
R 4
 
2.6%
Other values (9) 15
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60441
59.2%
ASCII 41587
40.8%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21848
52.5%
1 4789
 
11.5%
2 2746
 
6.6%
3 2120
 
5.1%
4 1777
 
4.3%
0 1530
 
3.7%
5 1504
 
3.6%
6 1171
 
2.8%
9 1162
 
2.8%
8 1158
 
2.8%
Other values (28) 1782
 
4.3%
Hangul
ValueCountFrequency (%)
4211
 
7.0%
4138
 
6.8%
4100
 
6.8%
4098
 
6.8%
3969
 
6.6%
3961
 
6.6%
3955
 
6.5%
3947
 
6.5%
3947
 
6.5%
3877
 
6.4%
Other values (282) 20238
33.5%
Number Forms
ValueCountFrequency (%)
1
100.0%

도로명주소
Text

MISSING 

Distinct2642
Distinct (%)74.0%
Missing382
Missing (%)9.7%
Memory size31.0 KiB
2024-04-06T20:06:04.491881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length59
Mean length28.757143
Min length13

Characters and Unicode

Total characters102663
Distinct characters332
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2066 ?
Unique (%)57.9%

Sample

1st row서울특별시 은평구 응암로11길 9 (응암동)
2nd row서울특별시 은평구 은평로 218 (응암동)
3rd row서울특별시 은평구 수색로 262 (수색동)
4th row서울특별시 은평구 연서로38길 10-1 (불광동)
5th row서울특별시 은평구 진흥로15길 20 (불광동)
ValueCountFrequency (%)
서울특별시 3570
 
17.6%
은평구 3538
 
17.5%
1층 619
 
3.1%
응암동 508
 
2.5%
갈현동 369
 
1.8%
불광동 365
 
1.8%
신사동 321
 
1.6%
역촌동 308
 
1.5%
대조동 299
 
1.5%
통일로 274
 
1.4%
Other values (1901) 10062
49.7%
2024-04-06T20:06:05.284687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16677
 
16.2%
1 5000
 
4.9%
4430
 
4.3%
4082
 
4.0%
4076
 
4.0%
3843
 
3.7%
3773
 
3.7%
3585
 
3.5%
3580
 
3.5%
( 3577
 
3.5%
Other values (322) 50040
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59826
58.3%
Space Separator 16677
 
16.2%
Decimal Number 15924
 
15.5%
Open Punctuation 3577
 
3.5%
Close Punctuation 3577
 
3.5%
Other Punctuation 2085
 
2.0%
Dash Punctuation 777
 
0.8%
Uppercase Letter 188
 
0.2%
Math Symbol 21
 
< 0.1%
Lowercase Letter 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4430
 
7.4%
4082
 
6.8%
4076
 
6.8%
3843
 
6.4%
3773
 
6.3%
3585
 
6.0%
3580
 
6.0%
3570
 
6.0%
3570
 
6.0%
3493
 
5.8%
Other values (284) 21824
36.5%
Uppercase Letter
ValueCountFrequency (%)
B 89
47.3%
A 20
 
10.6%
C 19
 
10.1%
M 19
 
10.1%
D 17
 
9.0%
S 6
 
3.2%
K 4
 
2.1%
L 3
 
1.6%
X 3
 
1.6%
J 3
 
1.6%
Other values (3) 5
 
2.7%
Decimal Number
ValueCountFrequency (%)
1 5000
31.4%
2 2255
14.2%
3 1511
 
9.5%
0 1463
 
9.2%
4 1020
 
6.4%
7 1007
 
6.3%
5 984
 
6.2%
6 924
 
5.8%
9 881
 
5.5%
8 879
 
5.5%
Lowercase Letter
ValueCountFrequency (%)
e 6
60.0%
c 1
 
10.0%
a 1
 
10.0%
g 1
 
10.0%
h 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 2068
99.2%
* 12
 
0.6%
: 4
 
0.2%
. 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
16677
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3577
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3577
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 777
100.0%
Math Symbol
ValueCountFrequency (%)
~ 21
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59826
58.3%
Common 42638
41.5%
Latin 199
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4430
 
7.4%
4082
 
6.8%
4076
 
6.8%
3843
 
6.4%
3773
 
6.3%
3585
 
6.0%
3580
 
6.0%
3570
 
6.0%
3570
 
6.0%
3493
 
5.8%
Other values (284) 21824
36.5%
Common
ValueCountFrequency (%)
16677
39.1%
1 5000
 
11.7%
( 3577
 
8.4%
) 3577
 
8.4%
2 2255
 
5.3%
, 2068
 
4.9%
3 1511
 
3.5%
0 1463
 
3.4%
4 1020
 
2.4%
7 1007
 
2.4%
Other values (9) 4483
 
10.5%
Latin
ValueCountFrequency (%)
B 89
44.7%
A 20
 
10.1%
C 19
 
9.5%
M 19
 
9.5%
D 17
 
8.5%
e 6
 
3.0%
S 6
 
3.0%
K 4
 
2.0%
L 3
 
1.5%
X 3
 
1.5%
Other values (9) 13
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59826
58.3%
ASCII 42836
41.7%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16677
38.9%
1 5000
 
11.7%
( 3577
 
8.4%
) 3577
 
8.4%
2 2255
 
5.3%
, 2068
 
4.8%
3 1511
 
3.5%
0 1463
 
3.4%
4 1020
 
2.4%
7 1007
 
2.4%
Other values (27) 4681
 
10.9%
Hangul
ValueCountFrequency (%)
4430
 
7.4%
4082
 
6.8%
4076
 
6.8%
3843
 
6.4%
3773
 
6.3%
3585
 
6.0%
3580
 
6.0%
3570
 
6.0%
3570
 
6.0%
3493
 
5.8%
Other values (284) 21824
36.5%
Number Forms
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Text

MISSING 

Distinct347
Distinct (%)25.4%
Missing2587
Missing (%)65.5%
Memory size31.0 KiB
2024-04-06T20:06:05.773998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.389011
Min length5

Characters and Unicode

Total characters7356
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

Unique89 ?
Unique (%)6.5%

Sample

1st row03368
2nd row122929
3rd row122932
4th row03489
5th row03397
ValueCountFrequency (%)
122200 22
 
1.6%
03329 17
 
1.2%
03306 15
 
1.1%
122842 15
 
1.1%
122891 14
 
1.0%
03302 14
 
1.0%
122900 13
 
1.0%
122906 12
 
0.9%
03301 12
 
0.9%
03489 12
 
0.9%
Other values (337) 1219
89.3%
2024-04-06T20:06:06.666026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1552
21.1%
2 1329
18.1%
0 1307
17.8%
1 750
10.2%
4 654
8.9%
8 534
 
7.3%
9 417
 
5.7%
7 289
 
3.9%
5 285
 
3.9%
6 206
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7323
99.6%
Dash Punctuation 33
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1552
21.2%
2 1329
18.1%
0 1307
17.8%
1 750
10.2%
4 654
8.9%
8 534
 
7.3%
9 417
 
5.7%
7 289
 
3.9%
5 285
 
3.9%
6 206
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7356
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1552
21.1%
2 1329
18.1%
0 1307
17.8%
1 750
10.2%
4 654
8.9%
8 534
 
7.3%
9 417
 
5.7%
7 289
 
3.9%
5 285
 
3.9%
6 206
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7356
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1552
21.1%
2 1329
18.1%
0 1307
17.8%
1 750
10.2%
4 654
8.9%
8 534
 
7.3%
9 417
 
5.7%
7 289
 
3.9%
5 285
 
3.9%
6 206
 
2.8%
Distinct2785
Distinct (%)70.5%
Missing0
Missing (%)0.0%
Memory size31.0 KiB
2024-04-06T20:06:07.165747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length25
Mean length6.3519737
Min length1

Characters and Unicode

Total characters25103
Distinct characters640
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2277 ?
Unique (%)57.6%

Sample

1st row식품
2nd row경북상회
3rd row
4th row만인상회
5th row한마음상회
ValueCountFrequency (%)
씨유 195
 
3.9%
gs25 133
 
2.6%
118
 
2.3%
세븐일레븐 78
 
1.5%
식품 69
 
1.4%
이마트24 54
 
1.1%
지에스25 53
 
1.1%
주)코리아세븐 49
 
1.0%
훼미리마트 41
 
0.8%
지에스(gs)25 38
 
0.8%
Other values (2723) 4210
83.6%
2024-04-06T20:06:08.138769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1092
 
4.4%
1050
 
4.2%
853
 
3.4%
834
 
3.3%
574
 
2.3%
559
 
2.2%
2 493
 
2.0%
5 385
 
1.5%
366
 
1.5%
365
 
1.5%
Other values (630) 18532
73.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21403
85.3%
Space Separator 1092
 
4.4%
Decimal Number 1073
 
4.3%
Uppercase Letter 829
 
3.3%
Open Punctuation 278
 
1.1%
Close Punctuation 278
 
1.1%
Lowercase Letter 106
 
0.4%
Other Punctuation 27
 
0.1%
Dash Punctuation 16
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1050
 
4.9%
853
 
4.0%
834
 
3.9%
574
 
2.7%
559
 
2.6%
366
 
1.7%
365
 
1.7%
334
 
1.6%
326
 
1.5%
326
 
1.5%
Other values (566) 15816
73.9%
Uppercase Letter
ValueCountFrequency (%)
S 304
36.7%
G 267
32.2%
C 40
 
4.8%
M 33
 
4.0%
L 25
 
3.0%
D 22
 
2.7%
R 18
 
2.2%
U 15
 
1.8%
O 14
 
1.7%
K 14
 
1.7%
Other values (14) 77
 
9.3%
Lowercase Letter
ValueCountFrequency (%)
m 16
15.1%
a 15
14.2%
t 9
8.5%
r 9
8.5%
e 8
 
7.5%
p 7
 
6.6%
o 7
 
6.6%
s 6
 
5.7%
y 5
 
4.7%
k 4
 
3.8%
Other values (9) 20
18.9%
Decimal Number
ValueCountFrequency (%)
2 493
45.9%
5 385
35.9%
4 93
 
8.7%
6 34
 
3.2%
3 24
 
2.2%
1 21
 
2.0%
9 14
 
1.3%
7 4
 
0.4%
8 4
 
0.4%
0 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
. 10
37.0%
* 6
22.2%
& 4
 
14.8%
, 3
 
11.1%
: 2
 
7.4%
/ 2
 
7.4%
Space Separator
ValueCountFrequency (%)
1092
100.0%
Open Punctuation
ValueCountFrequency (%)
( 278
100.0%
Close Punctuation
ValueCountFrequency (%)
) 278
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21402
85.3%
Common 2764
 
11.0%
Latin 935
 
3.7%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1050
 
4.9%
853
 
4.0%
834
 
3.9%
574
 
2.7%
559
 
2.6%
366
 
1.7%
365
 
1.7%
334
 
1.6%
326
 
1.5%
326
 
1.5%
Other values (565) 15815
73.9%
Latin
ValueCountFrequency (%)
S 304
32.5%
G 267
28.6%
C 40
 
4.3%
M 33
 
3.5%
L 25
 
2.7%
D 22
 
2.4%
R 18
 
1.9%
m 16
 
1.7%
a 15
 
1.6%
U 15
 
1.6%
Other values (33) 180
19.3%
Common
ValueCountFrequency (%)
1092
39.5%
2 493
17.8%
5 385
 
13.9%
( 278
 
10.1%
) 278
 
10.1%
4 93
 
3.4%
6 34
 
1.2%
3 24
 
0.9%
1 21
 
0.8%
- 16
 
0.6%
Other values (10) 50
 
1.8%
Han
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21401
85.3%
ASCII 3699
 
14.7%
CJK 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1092
29.5%
2 493
13.3%
5 385
 
10.4%
S 304
 
8.2%
( 278
 
7.5%
) 278
 
7.5%
G 267
 
7.2%
4 93
 
2.5%
C 40
 
1.1%
6 34
 
0.9%
Other values (53) 435
 
11.8%
Hangul
ValueCountFrequency (%)
1050
 
4.9%
853
 
4.0%
834
 
3.9%
574
 
2.7%
559
 
2.6%
366
 
1.7%
365
 
1.7%
334
 
1.6%
326
 
1.5%
326
 
1.5%
Other values (564) 15814
73.9%
None
ValueCountFrequency (%)
1
100.0%
CJK
ValueCountFrequency (%)
1
50.0%
1
50.0%
Distinct2895
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Memory size31.0 KiB
Minimum2007-07-18 14:33:42
Maximum2024-04-04 18:00:46
2024-04-06T20:06:08.377424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:06:08.624212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.0 KiB
I
3093 
U
859 

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 3093
78.3%
U 859
 
21.7%

Length

2024-04-06T20:06:08.830795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:06:08.986896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3093
78.3%
u 859
 
21.7%
Distinct630
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Memory size31.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-04-06T20:06:09.150706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:06:09.403055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3952
Missing (%)100.0%
Memory size34.9 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1742
Distinct (%)47.5%
Missing286
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean192738.01
Minimum189662.26
Maximum195827.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.9 KiB
2024-04-06T20:06:09.683326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189662.26
5-th percentile191403.15
Q1192222.14
median192758.48
Q3193255.37
95-th percentile194035.08
Maximum195827.08
Range6164.8181
Interquartile range (IQR)1033.2238

Descriptive statistics

Standard deviation830.5319
Coefficient of variation (CV)0.0043091235
Kurtosis0.64616452
Mean192738.01
Median Absolute Deviation (MAD)523.70853
Skewness-0.30119525
Sum7.0657756 × 108
Variance689783.25
MonotonicityNot monotonic
2024-04-06T20:06:09.937127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192998.202204135 16
 
0.4%
193103.427054842 13
 
0.3%
193055.040282 12
 
0.3%
193600.888431741 12
 
0.3%
192453.775146373 11
 
0.3%
191988.808242391 9
 
0.2%
194002.701726955 9
 
0.2%
193304.926585972 9
 
0.2%
193409.180318833 9
 
0.2%
192090.280667818 9
 
0.2%
Other values (1732) 3557
90.0%
(Missing) 286
 
7.2%
ValueCountFrequency (%)
189662.264560806 1
 
< 0.1%
189719.931629954 3
0.1%
189775.526870229 2
0.1%
189781.122488693 1
 
< 0.1%
189810.494236756 1
 
< 0.1%
190081.324013793 2
0.1%
190083.674433147 2
0.1%
190089.886532061 4
0.1%
190148.389108835 2
0.1%
190150.311027841 1
 
< 0.1%
ValueCountFrequency (%)
195827.082642573 2
0.1%
195358.535748819 2
0.1%
195324.876960123 2
0.1%
195275.610226369 2
0.1%
195238.804223929 1
 
< 0.1%
195111.418939471 1
 
< 0.1%
194868.858285239 2
0.1%
194827.408338307 1
 
< 0.1%
194801.556995337 1
 
< 0.1%
194746.08939058 4
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1742
Distinct (%)47.5%
Missing286
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean456135.31
Minimum452799.6
Maximum461666.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.9 KiB
2024-04-06T20:06:10.167180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452799.6
5-th percentile453586.12
Q1455007.83
median456089.43
Q3457262.4
95-th percentile459159.52
Maximum461666.33
Range8866.7264
Interquartile range (IQR)2254.5655

Descriptive statistics

Standard deviation1652.1107
Coefficient of variation (CV)0.003621975
Kurtosis0.080033149
Mean456135.31
Median Absolute Deviation (MAD)1122.6164
Skewness0.42615767
Sum1.672192 × 109
Variance2729469.7
MonotonicityNot monotonic
2024-04-06T20:06:10.391034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
457479.99522553 16
 
0.4%
459986.856034813 13
 
0.3%
459903.972312 12
 
0.3%
456957.233580498 12
 
0.3%
455222.314775578 11
 
0.3%
455286.684707754 9
 
0.2%
456937.542510222 9
 
0.2%
460316.757008927 9
 
0.2%
457703.534373662 9
 
0.2%
457806.746448487 9
 
0.2%
Other values (1732) 3557
90.0%
(Missing) 286
 
7.2%
ValueCountFrequency (%)
452799.599269845 3
0.1%
452828.203988479 1
 
< 0.1%
452854.914202267 2
 
0.1%
452890.003005512 2
 
0.1%
452935.810651021 1
 
< 0.1%
452946.246733537 4
0.1%
452992.137815337 2
 
0.1%
453004.338574203 1
 
< 0.1%
453007.876151149 5
0.1%
453021.346103882 1
 
< 0.1%
ValueCountFrequency (%)
461666.325661455 2
0.1%
461597.265893106 2
0.1%
461594.341753059 1
 
< 0.1%
461574.887708813 1
 
< 0.1%
461455.876513588 2
0.1%
461392.702276946 2
0.1%
461193.499014067 1
 
< 0.1%
461175.2097954 1
 
< 0.1%
461173.923006926 3
0.1%
461114.48586537 2
0.1%

지정일자
Real number (ℝ)

MISSING 

Distinct1681
Distinct (%)71.3%
Missing1595
Missing (%)40.4%
Infinite0
Infinite (%)0.0%
Mean20073748
Minimum19610324
Maximum20220318
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.9 KiB
2024-04-06T20:06:10.601396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19610324
5-th percentile19801220
Q120050708
median20100422
Q320141204
95-th percentile20200319
Maximum20220318
Range609994
Interquartile range (IQR)90496

Descriptive statistics

Standard deviation113808
Coefficient of variation (CV)0.0056694946
Kurtosis3.5842068
Mean20073748
Median Absolute Deviation (MAD)49515
Skewness-1.8725613
Sum4.7313823 × 1010
Variance1.2952262 × 1010
MonotonicityNot monotonic
2024-04-06T20:06:10.948260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080704 9
 
0.2%
20100823 7
 
0.2%
20071023 7
 
0.2%
19670701 6
 
0.2%
20140313 6
 
0.2%
20140217 5
 
0.1%
20150717 5
 
0.1%
20150130 5
 
0.1%
20060323 5
 
0.1%
20140827 5
 
0.1%
Other values (1671) 2297
58.1%
(Missing) 1595
40.4%
ValueCountFrequency (%)
19610324 1
< 0.1%
19631023 1
< 0.1%
19631127 1
< 0.1%
19631227 1
< 0.1%
19651101 1
< 0.1%
19660516 1
< 0.1%
19660527 1
< 0.1%
19660604 1
< 0.1%
19660701 1
< 0.1%
19660722 1
< 0.1%
ValueCountFrequency (%)
20220318 1
< 0.1%
20220224 1
< 0.1%
20220215 1
< 0.1%
20220210 1
< 0.1%
20220128 1
< 0.1%
20220125 1
< 0.1%
20220110 1
< 0.1%
20220103 1
< 0.1%
20211231 1
< 0.1%
20211221 1
< 0.1%

민원종류명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.0 KiB
<NA>
1595 
제7조의3제2항에따른경우
1147 
2009년11월법개정전자료
1099 
제7조의3제3항에따른경우
 
111

Length

Max length14
Median length13
Mean length9.645749
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row2009년11월법개정전자료
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1595
40.4%
제7조의3제2항에따른경우 1147
29.0%
2009년11월법개정전자료 1099
27.8%
제7조의3제3항에따른경우 111
 
2.8%

Length

2024-04-06T20:06:11.162012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:06:11.331892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1595
40.4%
제7조의3제2항에따른경우 1147
29.0%
2009년11월법개정전자료 1099
27.8%
제7조의3제3항에따른경우 111
 
2.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)지정일자민원종류명
03110000192031100880560125119201226<NA>3폐업2폐업처리20030611<NA><NA><NA>3081025<NA><NA>서울특별시 은평구 증산동 157번지 31호<NA><NA>식품2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA>192106.330114454043.907173<NA><NA>
13110000195931100880560059119591023<NA>3폐업2폐업처리20060515<NA><NA><NA>023743 840<NA><NA>서울특별시 은평구 응암동 297번지 56호<NA><NA>경북상회2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA>
23110000196031100880560020819601015<NA>3폐업2폐업처리20030512<NA><NA><NA>3570705<NA><NA>서울특별시 은평구 불광동 280번지 124호<NA><NA>2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA>
33110000196131100880560057019610324<NA>3폐업2폐업처리20081124<NA><NA><NA><NA><NA><NA>서울특별시 은평구 응암동 597번지 9 호서울특별시 은평구 응암로11길 9 (응암동)<NA>만인상회2008-11-24 13:42:20I2018-08-31 23:59:59.0<NA>192476.329249454016.347854196103242009년11월법개정전자료
43110000196131100880560092119610411<NA>3폐업2폐업처리200210112002041520020512<NA>02 3880428<NA><NA>서울특별시 은평구 응암동 61번지 53호서울특별시 은평구 은평로 218 (응암동)<NA>한마음상회2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA>193930.262508455410.425111<NA><NA>
53110000196131100880560109719610619<NA>3폐업2폐업처리20050819<NA><NA><NA>02 3738282<NA><NA>서울특별시 은평구 수색동 368번지 1호서울특별시 은평구 수색로 262 (수색동)<NA>24시 편의점2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA>190683.969111453360.669715<NA><NA>
63110000196231100880560025919621027<NA>3폐업2폐업처리20070306<NA><NA><NA>02 3555672<NA><NA>서울특별시 은평구 불광동 134번지 1호서울특별시 은평구 연서로38길 10-1 (불광동)<NA>숙이네식품2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA>193579.059411457720.113812<NA><NA>
7311000019633110088056001991963-03-062023-12-284취소/말소/만료/정지/중지3직권취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 불광동 604번지 12호서울특별시 은평구 진흥로15길 20 (불광동)03368불광식품2023-12-28 15:07:50U2022-11-01 21:00:00.0<NA>193918.962136456535.379532<NA><NA>
83110000196331100880560059719631023<NA>3폐업2폐업처리20141230<NA><NA><NA><NA><NA>122929서울특별시 은평구 응암동 732번지 14호서울특별시 은평구 가좌로7나길 12 (응암동)122929크린크린빨래방2014-12-30 14:03:51I2018-08-31 23:59:59.0<NA>192761.629365453675.424337196310232009년11월법개정전자료
93110000196331100880560062919631227201802214취소/말소/만료/정지/중지3직권취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 응암동 285번지 82 호서울특별시 은평구 응암로12길 9-10 (응암동)122932담배2018-02-21 15:57:28I2018-08-31 23:59:59.0<NA>192691.163391454002.215006196312272009년11월법개정전자료
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)지정일자민원종류명
3942311000020243110217056000092024-01-24<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 갈현동 410-1서울특별시 은평구 통일로87길 9, 1,지하1층 (갈현동)03329행복한마트2024-01-25 08:01:12I2023-11-30 22:07:00.0<NA>192731.864392457879.466619<NA><NA>
3943311000020243110217056000102024-02-07<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 갈현동 538 미미아파트서울특별시 은평구 갈현로29길 11, 지하2층층 101호 (갈현동, 미미아파트)03322씨유 은평본점2024-03-29 17:26:03U2023-12-02 21:01:00.0<NA>192296.224738457406.890511<NA><NA>
3944311000020243110217056000112024-02-07<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 구산동 547 갈현1단지 e-편한세상아파트서울특별시 은평구 서오릉로21길 47, 상가동 104, 105호 (구산동, 갈현1단지 e-편한세상아파트)03427씨유 은평드림점2024-03-11 16:38:18U2023-12-02 23:03:00.0<NA>191648.750236456620.326186<NA><NA>
3945311000020243110217056000122024-02-13<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 진관동 72 드림스퀘어서울특별시 은평구 진관2로 29-21, 드림스퀘어 1층 111호 (진관동)03306씨유 은평 드림 스퀘어점2024-02-13 09:52:47I2023-12-01 23:05:00.0<NA>192812.253775459266.981388<NA><NA>
3946311000020243110217056000132024-02-16<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 구산동 224 경남 아너스빌서울특별시 은평구 갈현로11길 46, 101호 (구산동, 경남 아너스빌)03428씨유 서북병원점2024-02-16 11:59:37I2023-12-01 23:08:00.0<NA>191575.605155455919.170241<NA><NA>
3947311000020243110217056000142024-02-26<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 불광동 323-10 아이빌딩서울특별시 은평구 통일로78길 11-11, 아이빌딩 1층 (불광동)03350지에스25 연신내사랑점2024-04-02 18:07:58U2023-12-04 00:04:00.0<NA>193166.355773457355.665319<NA><NA>
3948311000020243110217056000152024-03-06<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 응암동 738 해태드림타운서울특별시 은평구 은평로 82, 2층 216호 (응암동, 해태드림타운)03453응암전자담배 라미야2024-03-06 16:52:28I2023-12-03 00:08:00.0<NA>192600.451567455197.919225<NA><NA>
3949311000020243110217056000162024-03-12<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 진관동 19서울특별시 은평구 진관4로 17, 820동 1층 104,105호 (진관동)03302씨유 진관캐슬점2024-03-13 09:01:24I2023-12-02 23:05:00.0<NA>193113.249411459913.076111<NA><NA>
3950311000020243110217056000172024-03-15<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 신사동 22-15 6호선 응암역사무소서울특별시 은평구 증산로 지하477, 6호선 응암역사무소 지하2층 2001호 (신사동)03449지에스25 S6 응암역점2024-03-15 13:15:36I2023-12-02 23:07:00.0<NA>192413.092488455125.431092<NA><NA>
3951311000020243110217056000182024-03-18<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 불광동 355-5서울특별시 은평구 연서로 284, 1층 (불광동)03349씨유 불광어게인점2024-03-18 17:55:54I2023-12-02 22:00:00.0<NA>193394.182018457632.83804<NA><NA>