Overview

Dataset statistics

Number of variables27
Number of observations3030
Missing cells25637
Missing cells (%)31.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory668.9 KiB
Average record size in memory226.0 B

Variable types

Categorical6
Numeric5
Text7
DateTime6
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
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-19910/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
상세영업상태명 is highly imbalanced (51.8%)Imbalance
인허가취소일자 has 2723 (89.9%) missing valuesMissing
폐업일자 has 851 (28.1%) missing valuesMissing
휴업시작일자 has 2956 (97.6%) missing valuesMissing
휴업종료일자 has 2956 (97.6%) missing valuesMissing
재개업일자 has 3030 (100.0%) missing valuesMissing
전화번호 has 980 (32.3%) missing valuesMissing
소재지면적 has 3030 (100.0%) missing valuesMissing
소재지우편번호 has 2255 (74.4%) missing valuesMissing
도로명주소 has 271 (8.9%) missing valuesMissing
도로명우편번호 has 2068 (68.3%) missing valuesMissing
업태구분명 has 3030 (100.0%) missing valuesMissing
좌표정보(X) has 146 (4.8%) missing valuesMissing
좌표정보(Y) has 146 (4.8%) missing valuesMissing
지정일자 has 1191 (39.3%) 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 525 (17.3%) zerosZeros

Reproduction

Analysis started2024-04-06 13:14:23.752106
Analysis finished2024-04-06 13:14:25.039896
Duration1.29 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size23.8 KiB
3080000
3030 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3080000
2nd row3080000
3rd row3080000
4th row3080000
5th row3080000

Common Values

ValueCountFrequency (%)
3080000 3030
100.0%

Length

2024-04-06T22:14:25.118999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:14:25.249631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3080000 3030
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct3030
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.007474 × 1018
Minimum1.980308 × 1018
Maximum2.024308 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.8 KiB
2024-04-06T22:14:25.487287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.980308 × 1018
5-th percentile1.999758 × 1018
Q12.001308 × 1018
median2.005308 × 1018
Q32.013308 × 1018
95-th percentile2.020858 × 1018
Maximum2.024308 × 1018
Range4.4000011 × 1016
Interquartile range (IQR)1.2000006 × 1016

Descriptive statistics

Standard deviation7.2164947 × 1015
Coefficient of variation (CV)0.0035948135
Kurtosis-0.41113076
Mean2.007474 × 1018
Median Absolute Deviation (MAD)4 × 1015
Skewness0.40762216
Sum-4.779273 × 1018
Variance5.2077796 × 1031
MonotonicityStrictly increasing
2024-04-06T22:14:25.715128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1980308007505600505 1
 
< 0.1%
2010308013905600018 1
 
< 0.1%
2010308013905600009 1
 
< 0.1%
2010308013905600010 1
 
< 0.1%
2010308013905600011 1
 
< 0.1%
2010308013905600012 1
 
< 0.1%
2010308013905600013 1
 
< 0.1%
2010308013905600014 1
 
< 0.1%
2010308013905600015 1
 
< 0.1%
2010308013905600016 1
 
< 0.1%
Other values (3020) 3020
99.7%
ValueCountFrequency (%)
1980308007505600505 1
< 0.1%
1980308007505600526 1
< 0.1%
1980308013905600204 1
< 0.1%
1980308013905600205 1
< 0.1%
1984308007505600715 1
< 0.1%
1985308013905600000 1
< 0.1%
1987308007505600310 1
< 0.1%
1987308013905600001 1
< 0.1%
1989308007505600690 1
< 0.1%
1989308007505600699 1
< 0.1%
ValueCountFrequency (%)
2024308019005600015 1
< 0.1%
2024308019005600014 1
< 0.1%
2024308019005600013 1
< 0.1%
2024308019005600012 1
< 0.1%
2024308019005600011 1
< 0.1%
2024308019005600010 1
< 0.1%
2024308019005600009 1
< 0.1%
2024308019005600008 1
< 0.1%
2024308019005600007 1
< 0.1%
2024308019005600005 1
< 0.1%
Distinct1973
Distinct (%)65.1%
Missing0
Missing (%)0.0%
Memory size23.8 KiB
2024-04-06T22:14:26.121852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.1148515
Min length8

Characters and Unicode

Total characters24588
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

Unique1385 ?
Unique (%)45.7%

Sample

1st row1980-01-01
2nd row19800701
3rd row19800701
4th row19800701
5th row19841010
ValueCountFrequency (%)
19950301 110
 
3.6%
19981130 24
 
0.8%
19981117 12
 
0.4%
19981124 11
 
0.4%
19981125 11
 
0.4%
19981126 9
 
0.3%
19981202 9
 
0.3%
19981116 9
 
0.3%
19981118 7
 
0.2%
19981019 7
 
0.2%
Other values (1964) 2822
93.1%
2024-04-06T22:14:26.846779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7496
30.5%
1 4864
19.8%
2 4555
18.5%
9 2113
 
8.6%
3 1091
 
4.4%
8 1049
 
4.3%
5 871
 
3.5%
4 787
 
3.2%
7 718
 
2.9%
6 695
 
2.8%
Other values (2) 349
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24239
98.6%
Dash Punctuation 348
 
1.4%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7496
30.9%
1 4864
20.1%
2 4555
18.8%
9 2113
 
8.7%
3 1091
 
4.5%
8 1049
 
4.3%
5 871
 
3.6%
4 787
 
3.2%
7 718
 
3.0%
6 695
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 348
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24588
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7496
30.5%
1 4864
19.8%
2 4555
18.5%
9 2113
 
8.6%
3 1091
 
4.4%
8 1049
 
4.3%
5 871
 
3.5%
4 787
 
3.2%
7 718
 
2.9%
6 695
 
2.8%
Other values (2) 349
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24588
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7496
30.5%
1 4864
19.8%
2 4555
18.5%
9 2113
 
8.6%
3 1091
 
4.4%
8 1049
 
4.3%
5 871
 
3.5%
4 787
 
3.2%
7 718
 
2.9%
6 695
 
2.8%
Other values (2) 349
 
1.4%

인허가취소일자
Date

MISSING 

Distinct133
Distinct (%)43.3%
Missing2723
Missing (%)89.9%
Memory size23.8 KiB
Minimum2001-09-25 00:00:00
Maximum2024-03-29 00:00:00
2024-04-06T22:14:27.064019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:14:27.613263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.8 KiB
3
2179 
1
525 
4
320 
2
 
6

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 2179
71.9%
1 525
 
17.3%
4 320
 
10.6%
2 6
 
0.2%

Length

2024-04-06T22:14:27.814331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:14:27.964219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2179
71.9%
1 525
 
17.3%
4 320
 
10.6%
2 6
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.8 KiB
폐업
2179 
영업/정상
525 
취소/말소/만료/정지/중지
320 
휴업
 
6

Length

Max length14
Median length2
Mean length3.7871287
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2179
71.9%
영업/정상 525
 
17.3%
취소/말소/만료/정지/중지 320
 
10.6%
휴업 6
 
0.2%

Length

2024-04-06T22:14:28.126744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:14:28.328308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2179
71.9%
영업/정상 525
 
17.3%
취소/말소/만료/정지/중지 320
 
10.6%
휴업 6
 
0.2%

상세영업상태코드
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8333333
Minimum0
Maximum5
Zeros525
Zeros (%)17.3%
Negative0
Negative (%)0.0%
Memory size26.8 KiB
2024-04-06T22:14:28.458023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median2
Q32
95-th percentile3
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0378816
Coefficient of variation (CV)0.56611723
Kurtosis2.0832176
Mean1.8333333
Median Absolute Deviation (MAD)0
Skewness0.21997653
Sum5555
Variance1.0771982
MonotonicityNot monotonic
2024-04-06T22:14:28.594496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 2179
71.9%
0 525
 
17.3%
3 203
 
6.7%
5 114
 
3.8%
1 6
 
0.2%
4 3
 
0.1%
ValueCountFrequency (%)
0 525
 
17.3%
1 6
 
0.2%
2 2179
71.9%
3 203
 
6.7%
4 3
 
0.1%
5 114
 
3.8%
ValueCountFrequency (%)
5 114
 
3.8%
4 3
 
0.1%
3 203
 
6.7%
2 2179
71.9%
1 6
 
0.2%
0 525
 
17.3%

상세영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.8 KiB
폐업처리
2179 
정상영업
525 
직권취소
 
203
지정취소
 
114
휴업처리
 
6

Length

Max length8
Median length4
Mean length4.0039604
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 2179
71.9%
정상영업 525
 
17.3%
직권취소 203
 
6.7%
지정취소 114
 
3.8%
휴업처리 6
 
0.2%
임시소매기간만료 3
 
0.1%

Length

2024-04-06T22:14:28.756933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:14:28.901209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 2179
71.9%
정상영업 525
 
17.3%
직권취소 203
 
6.7%
지정취소 114
 
3.8%
휴업처리 6
 
0.2%
임시소매기간만료 3
 
0.1%

폐업일자
Date

MISSING 

Distinct1743
Distinct (%)80.0%
Missing851
Missing (%)28.1%
Memory size23.8 KiB
Minimum2000-12-19 00:00:00
Maximum2024-04-04 00:00:00
2024-04-06T22:14:29.073248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:14:29.284082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct73
Distinct (%)98.6%
Missing2956
Missing (%)97.6%
Memory size23.8 KiB
Minimum2007-06-08 00:00:00
Maximum2024-03-04 00:00:00
2024-04-06T22:14:29.519426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:14:29.750387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업종료일자
Date

MISSING 

Distinct74
Distinct (%)100.0%
Missing2956
Missing (%)97.6%
Memory size23.8 KiB
Minimum2007-11-30 00:00:00
Maximum2024-05-03 00:00:00
2024-04-06T22:14:29.962265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:14:30.172024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3030
Missing (%)100.0%
Memory size26.8 KiB

전화번호
Text

MISSING 

Distinct1767
Distinct (%)86.2%
Missing980
Missing (%)32.3%
Memory size23.8 KiB
2024-04-06T22:14:30.466300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length9.9190244
Min length2

Characters and Unicode

Total characters20334
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1538 ?
Unique (%)75.0%

Sample

1st row988-7016
2nd row02 9814108
3rd row980-2518
4th row02-902-1952
5th row02 9066428
ValueCountFrequency (%)
02 1456
41.3%
9889550 5
 
0.1%
9808083 4
 
0.1%
9986860 4
 
0.1%
9450752 4
 
0.1%
031 4
 
0.1%
1577-0711 4
 
0.1%
9986197 4
 
0.1%
9037974 4
 
0.1%
0000000 4
 
0.1%
Other values (1770) 2031
57.6%
2024-04-06T22:14:31.081530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3508
17.3%
9 3276
16.1%
2 2760
13.6%
8 2050
10.1%
1478
7.3%
5 1127
 
5.5%
7 1121
 
5.5%
3 1056
 
5.2%
1 1053
 
5.2%
4 1024
 
5.0%
Other values (4) 1881
9.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17984
88.4%
Space Separator 1478
 
7.3%
Dash Punctuation 866
 
4.3%
Close Punctuation 5
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3508
19.5%
9 3276
18.2%
2 2760
15.3%
8 2050
11.4%
5 1127
 
6.3%
7 1121
 
6.2%
3 1056
 
5.9%
1 1053
 
5.9%
4 1024
 
5.7%
6 1009
 
5.6%
Space Separator
ValueCountFrequency (%)
1478
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 866
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20334
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3508
17.3%
9 3276
16.1%
2 2760
13.6%
8 2050
10.1%
1478
7.3%
5 1127
 
5.5%
7 1121
 
5.5%
3 1056
 
5.2%
1 1053
 
5.2%
4 1024
 
5.0%
Other values (4) 1881
9.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20334
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3508
17.3%
9 3276
16.1%
2 2760
13.6%
8 2050
10.1%
1478
7.3%
5 1127
 
5.5%
7 1121
 
5.5%
3 1056
 
5.2%
1 1053
 
5.2%
4 1024
 
5.0%
Other values (4) 1881
9.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3030
Missing (%)100.0%
Memory size26.8 KiB

소재지우편번호
Text

MISSING 

Distinct103
Distinct (%)13.3%
Missing2255
Missing (%)74.4%
Memory size23.8 KiB
2024-04-06T22:14:31.441387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0296774
Min length5

Characters and Unicode

Total characters4673
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

Unique34 ?
Unique (%)4.4%

Sample

1st row142100
2nd row142070
3rd row142100
4th row142888
5th row142100
ValueCountFrequency (%)
142100 170
21.9%
142070 144
18.6%
142060 60
 
7.7%
142878 16
 
2.1%
142877 15
 
1.9%
142061 14
 
1.8%
142090 12
 
1.5%
142071 12
 
1.5%
142867 12
 
1.5%
142888 10
 
1.3%
Other values (93) 310
40.0%
2024-04-06T22:14:32.032053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1073
23.0%
0 942
20.2%
2 847
18.1%
4 813
17.4%
8 360
 
7.7%
7 336
 
7.2%
6 159
 
3.4%
9 41
 
0.9%
3 41
 
0.9%
5 32
 
0.7%
Other values (2) 29
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4644
99.4%
Dash Punctuation 24
 
0.5%
Space Separator 5
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1073
23.1%
0 942
20.3%
2 847
18.2%
4 813
17.5%
8 360
 
7.8%
7 336
 
7.2%
6 159
 
3.4%
9 41
 
0.9%
3 41
 
0.9%
5 32
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4673
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1073
23.0%
0 942
20.2%
2 847
18.1%
4 813
17.4%
8 360
 
7.7%
7 336
 
7.2%
6 159
 
3.4%
9 41
 
0.9%
3 41
 
0.9%
5 32
 
0.7%
Other values (2) 29
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4673
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1073
23.0%
0 942
20.2%
2 847
18.1%
4 813
17.4%
8 360
 
7.7%
7 336
 
7.2%
6 159
 
3.4%
9 41
 
0.9%
3 41
 
0.9%
5 32
 
0.7%
Other values (2) 29
 
0.6%
Distinct2546
Distinct (%)84.1%
Missing4
Missing (%)0.1%
Memory size23.8 KiB
2024-04-06T22:14:32.633547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length45
Mean length25.423331
Min length13

Characters and Unicode

Total characters76931
Distinct characters304
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2178 ?
Unique (%)72.0%

Sample

1st row서울특별시 강북구 미아동 860번지 191호
2nd row서울특별시 강북구 미아동 75호
3rd row서울특별시 강북구 미아동 40번지 2호
4th row서울특별시 강북구 수유동 522번지 1호
5th row서울특별시 강북구 수유동 32호 중앙시장상가2호
ValueCountFrequency (%)
서울특별시 3026
18.5%
강북구 3026
18.5%
미아동 1183
 
7.2%
수유동 1052
 
6.4%
491
 
3.0%
번동 468
 
2.9%
1호 204
 
1.2%
1층 167
 
1.0%
우이동 126
 
0.8%
2호 96
 
0.6%
Other values (1718) 6495
39.8%
2024-04-06T22:14:33.498386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16538
21.5%
3229
 
4.2%
3108
 
4.0%
1 3083
 
4.0%
3053
 
4.0%
3053
 
4.0%
3050
 
4.0%
3041
 
4.0%
3038
 
3.9%
3031
 
3.9%
Other values (294) 32707
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44324
57.6%
Space Separator 16538
 
21.5%
Decimal Number 15329
 
19.9%
Dash Punctuation 230
 
0.3%
Open Punctuation 211
 
0.3%
Close Punctuation 211
 
0.3%
Uppercase Letter 57
 
0.1%
Other Punctuation 30
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3229
 
7.3%
3108
 
7.0%
3053
 
6.9%
3053
 
6.9%
3050
 
6.9%
3041
 
6.9%
3038
 
6.9%
3031
 
6.8%
3029
 
6.8%
3026
 
6.8%
Other values (262) 13666
30.8%
Decimal Number
ValueCountFrequency (%)
1 3083
20.1%
2 2070
13.5%
4 1850
12.1%
3 1581
10.3%
7 1320
8.6%
5 1224
 
8.0%
6 1178
 
7.7%
0 1129
 
7.4%
8 1032
 
6.7%
9 862
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
A 22
38.6%
K 10
17.5%
B 8
 
14.0%
S 7
 
12.3%
C 2
 
3.5%
T 2
 
3.5%
D 2
 
3.5%
M 2
 
3.5%
N 1
 
1.8%
G 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 16
53.3%
. 11
36.7%
@ 1
 
3.3%
/ 1
 
3.3%
? 1
 
3.3%
Open Punctuation
ValueCountFrequency (%)
( 209
99.1%
2
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 209
99.1%
2
 
0.9%
Space Separator
ValueCountFrequency (%)
16538
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 230
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44324
57.6%
Common 32550
42.3%
Latin 57
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3229
 
7.3%
3108
 
7.0%
3053
 
6.9%
3053
 
6.9%
3050
 
6.9%
3041
 
6.9%
3038
 
6.9%
3031
 
6.8%
3029
 
6.8%
3026
 
6.8%
Other values (262) 13666
30.8%
Common
ValueCountFrequency (%)
16538
50.8%
1 3083
 
9.5%
2 2070
 
6.4%
4 1850
 
5.7%
3 1581
 
4.9%
7 1320
 
4.1%
5 1224
 
3.8%
6 1178
 
3.6%
0 1129
 
3.5%
8 1032
 
3.2%
Other values (12) 1545
 
4.7%
Latin
ValueCountFrequency (%)
A 22
38.6%
K 10
17.5%
B 8
 
14.0%
S 7
 
12.3%
C 2
 
3.5%
T 2
 
3.5%
D 2
 
3.5%
M 2
 
3.5%
N 1
 
1.8%
G 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44324
57.6%
ASCII 32603
42.4%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16538
50.7%
1 3083
 
9.5%
2 2070
 
6.3%
4 1850
 
5.7%
3 1581
 
4.8%
7 1320
 
4.0%
5 1224
 
3.8%
6 1178
 
3.6%
0 1129
 
3.5%
8 1032
 
3.2%
Other values (20) 1598
 
4.9%
Hangul
ValueCountFrequency (%)
3229
 
7.3%
3108
 
7.0%
3053
 
6.9%
3053
 
6.9%
3050
 
6.9%
3041
 
6.9%
3038
 
6.9%
3031
 
6.8%
3029
 
6.8%
3026
 
6.8%
Other values (262) 13666
30.8%
None
ValueCountFrequency (%)
2
50.0%
2
50.0%

도로명주소
Text

MISSING 

Distinct1940
Distinct (%)70.3%
Missing271
Missing (%)8.9%
Memory size23.8 KiB
2024-04-06T22:14:34.041264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length56
Mean length27.517941
Min length12

Characters and Unicode

Total characters75922
Distinct characters309
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1427 ?
Unique (%)51.7%

Sample

1st row서울특별시 강북구 도봉로8길 21 (미아동)
2nd row서울특별시 강북구 도봉로 20 (미아동)
3rd row서울특별시 강북구 삼각산로 13 (수유동)
4th row서울특별시 강북구 솔샘로 254 (미아동,1층 8호)
5th row서울특별시 강북구 도봉로37길 24-2 (미아동)
ValueCountFrequency (%)
서울특별시 2759
18.4%
강북구 2752
18.4%
미아동 990
 
6.6%
수유동 903
 
6.0%
1층 393
 
2.6%
번동 349
 
2.3%
도봉로 229
 
1.5%
삼양로 202
 
1.4%
한천로 103
 
0.7%
우이동 94
 
0.6%
Other values (1436) 6187
41.4%
2024-04-06T22:14:34.826848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12210
 
16.1%
1 3206
 
4.2%
) 2921
 
3.8%
( 2921
 
3.8%
2859
 
3.8%
2790
 
3.7%
2782
 
3.7%
2781
 
3.7%
2781
 
3.7%
2774
 
3.7%
Other values (299) 37897
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44228
58.3%
Space Separator 12210
 
16.1%
Decimal Number 12138
 
16.0%
Close Punctuation 2923
 
3.9%
Open Punctuation 2923
 
3.9%
Other Punctuation 1205
 
1.6%
Dash Punctuation 241
 
0.3%
Uppercase Letter 41
 
0.1%
Math Symbol 11
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2859
 
6.5%
2790
 
6.3%
2782
 
6.3%
2781
 
6.3%
2781
 
6.3%
2774
 
6.3%
2767
 
6.3%
2764
 
6.2%
2762
 
6.2%
2759
 
6.2%
Other values (267) 16409
37.1%
Decimal Number
ValueCountFrequency (%)
1 3206
26.4%
2 1487
12.3%
3 1478
12.2%
4 978
 
8.1%
0 974
 
8.0%
5 909
 
7.5%
7 887
 
7.3%
6 774
 
6.4%
9 761
 
6.3%
8 684
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
B 17
41.5%
A 8
19.5%
K 4
 
9.8%
T 3
 
7.3%
M 2
 
4.9%
D 2
 
4.9%
C 2
 
4.9%
N 1
 
2.4%
G 1
 
2.4%
S 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
, 1158
96.1%
. 45
 
3.7%
? 1
 
0.1%
@ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 2921
99.9%
2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 2921
99.9%
2
 
0.1%
Space Separator
ValueCountFrequency (%)
12210
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 241
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44228
58.3%
Common 31651
41.7%
Latin 43
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2859
 
6.5%
2790
 
6.3%
2782
 
6.3%
2781
 
6.3%
2781
 
6.3%
2774
 
6.3%
2767
 
6.3%
2764
 
6.2%
2762
 
6.2%
2759
 
6.2%
Other values (267) 16409
37.1%
Common
ValueCountFrequency (%)
12210
38.6%
1 3206
 
10.1%
) 2921
 
9.2%
( 2921
 
9.2%
2 1487
 
4.7%
3 1478
 
4.7%
, 1158
 
3.7%
4 978
 
3.1%
0 974
 
3.1%
5 909
 
2.9%
Other values (11) 3409
 
10.8%
Latin
ValueCountFrequency (%)
B 17
39.5%
A 8
18.6%
K 4
 
9.3%
T 3
 
7.0%
b 2
 
4.7%
M 2
 
4.7%
D 2
 
4.7%
C 2
 
4.7%
N 1
 
2.3%
G 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44228
58.3%
ASCII 31690
41.7%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12210
38.5%
1 3206
 
10.1%
) 2921
 
9.2%
( 2921
 
9.2%
2 1487
 
4.7%
3 1478
 
4.7%
, 1158
 
3.7%
4 978
 
3.1%
0 974
 
3.1%
5 909
 
2.9%
Other values (20) 3448
 
10.9%
Hangul
ValueCountFrequency (%)
2859
 
6.5%
2790
 
6.3%
2782
 
6.3%
2781
 
6.3%
2781
 
6.3%
2774
 
6.3%
2767
 
6.3%
2764
 
6.2%
2762
 
6.2%
2759
 
6.2%
Other values (267) 16409
37.1%
None
ValueCountFrequency (%)
2
50.0%
2
50.0%

도로명우편번호
Text

MISSING 

Distinct265
Distinct (%)27.5%
Missing2068
Missing (%)68.3%
Memory size23.8 KiB
2024-04-06T22:14:35.330913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3773389
Min length5

Characters and Unicode

Total characters5173
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

Unique72 ?
Unique (%)7.5%

Sample

1st row142070
2nd row142-878
3rd row01225
4th row142070
5th row142827
ValueCountFrequency (%)
142100 71
 
7.4%
142070 49
 
5.1%
01062 19
 
2.0%
142878 12
 
1.2%
142888 10
 
1.0%
01189 10
 
1.0%
01073 10
 
1.0%
142874 9
 
0.9%
01125 9
 
0.9%
142876 8
 
0.8%
Other values (255) 755
78.5%
2024-04-06T22:14:36.026277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1471
28.4%
0 1341
25.9%
2 608
11.8%
4 483
 
9.3%
8 340
 
6.6%
7 300
 
5.8%
6 209
 
4.0%
5 144
 
2.8%
3 142
 
2.7%
9 119
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5157
99.7%
Dash Punctuation 16
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1471
28.5%
0 1341
26.0%
2 608
11.8%
4 483
 
9.4%
8 340
 
6.6%
7 300
 
5.8%
6 209
 
4.1%
5 144
 
2.8%
3 142
 
2.8%
9 119
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5173
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1471
28.4%
0 1341
25.9%
2 608
11.8%
4 483
 
9.3%
8 340
 
6.6%
7 300
 
5.8%
6 209
 
4.0%
5 144
 
2.8%
3 142
 
2.7%
9 119
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5173
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1471
28.4%
0 1341
25.9%
2 608
11.8%
4 483
 
9.3%
8 340
 
6.6%
7 300
 
5.8%
6 209
 
4.0%
5 144
 
2.8%
3 142
 
2.7%
9 119
 
2.3%
Distinct2253
Distinct (%)74.4%
Missing0
Missing (%)0.0%
Memory size23.8 KiB
2024-04-06T22:14:36.488774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length34
Mean length6.2310231
Min length2

Characters and Unicode

Total characters18880
Distinct characters628
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1862 ?
Unique (%)61.5%

Sample

1st row세븐일레븐미아제일점
2nd row슈퍼
3rd row영종매점
4th row백운상회
5th row담배
ValueCountFrequency (%)
씨유 127
 
3.4%
gs25 86
 
2.3%
세븐일레븐 59
 
1.6%
주)코리아세븐 27
 
0.7%
지에스(gs)25 27
 
0.7%
지에스25 26
 
0.7%
가로판매점 20
 
0.5%
이마트24 20
 
0.5%
미니스톱 19
 
0.5%
담배 18
 
0.5%
Other values (2254) 3257
88.4%
2024-04-06T22:14:37.090860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
779
 
4.1%
656
 
3.5%
635
 
3.4%
601
 
3.2%
598
 
3.2%
576
 
3.1%
524
 
2.8%
388
 
2.1%
368
 
1.9%
348
 
1.8%
Other values (618) 13407
71.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16418
87.0%
Decimal Number 680
 
3.6%
Space Separator 656
 
3.5%
Uppercase Letter 605
 
3.2%
Close Punctuation 206
 
1.1%
Open Punctuation 205
 
1.1%
Lowercase Letter 64
 
0.3%
Other Punctuation 31
 
0.2%
Dash Punctuation 14
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
779
 
4.7%
635
 
3.9%
601
 
3.7%
598
 
3.6%
576
 
3.5%
524
 
3.2%
388
 
2.4%
368
 
2.2%
348
 
2.1%
279
 
1.7%
Other values (551) 11322
69.0%
Uppercase Letter
ValueCountFrequency (%)
S 210
34.7%
G 201
33.2%
C 38
 
6.3%
K 28
 
4.6%
U 26
 
4.3%
L 17
 
2.8%
M 12
 
2.0%
E 11
 
1.8%
R 9
 
1.5%
B 8
 
1.3%
Other values (14) 45
 
7.4%
Lowercase Letter
ValueCountFrequency (%)
l 9
14.1%
e 7
10.9%
o 7
10.9%
i 6
9.4%
a 5
 
7.8%
u 4
 
6.2%
b 3
 
4.7%
f 3
 
4.7%
n 3
 
4.7%
d 3
 
4.7%
Other values (10) 14
21.9%
Decimal Number
ValueCountFrequency (%)
2 288
42.4%
5 254
37.4%
4 55
 
8.1%
1 27
 
4.0%
3 14
 
2.1%
6 13
 
1.9%
9 9
 
1.3%
7 8
 
1.2%
0 7
 
1.0%
8 5
 
0.7%
Other Punctuation
ValueCountFrequency (%)
. 17
54.8%
, 6
 
19.4%
? 3
 
9.7%
& 2
 
6.5%
2
 
6.5%
! 1
 
3.2%
Close Punctuation
ValueCountFrequency (%)
) 205
99.5%
] 1
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 204
99.5%
[ 1
 
0.5%
Space Separator
ValueCountFrequency (%)
656
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16412
86.9%
Common 1792
 
9.5%
Latin 670
 
3.5%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
779
 
4.7%
635
 
3.9%
601
 
3.7%
598
 
3.6%
576
 
3.5%
524
 
3.2%
388
 
2.4%
368
 
2.2%
348
 
2.1%
279
 
1.7%
Other values (546) 11316
68.9%
Latin
ValueCountFrequency (%)
S 210
31.3%
G 201
30.0%
C 38
 
5.7%
K 28
 
4.2%
U 26
 
3.9%
L 17
 
2.5%
M 12
 
1.8%
E 11
 
1.6%
R 9
 
1.3%
l 9
 
1.3%
Other values (35) 109
16.3%
Common
ValueCountFrequency (%)
656
36.6%
2 288
16.1%
5 254
 
14.2%
) 205
 
11.4%
( 204
 
11.4%
4 55
 
3.1%
1 27
 
1.5%
. 17
 
0.9%
3 14
 
0.8%
- 14
 
0.8%
Other values (12) 58
 
3.2%
Han
ValueCountFrequency (%)
2
33.3%
1
16.7%
1
16.7%
1
16.7%
1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16412
86.9%
ASCII 2459
 
13.0%
CJK 4
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%
None 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
779
 
4.7%
635
 
3.9%
601
 
3.7%
598
 
3.6%
576
 
3.5%
524
 
3.2%
388
 
2.4%
368
 
2.2%
348
 
2.1%
279
 
1.7%
Other values (546) 11316
68.9%
ASCII
ValueCountFrequency (%)
656
26.7%
2 288
11.7%
5 254
 
10.3%
S 210
 
8.5%
) 205
 
8.3%
( 204
 
8.3%
G 201
 
8.2%
4 55
 
2.2%
C 38
 
1.5%
K 28
 
1.1%
Other values (55) 320
13.0%
CJK Compat Ideographs
ValueCountFrequency (%)
2
100.0%
None
ValueCountFrequency (%)
2
100.0%
CJK
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Number Forms
ValueCountFrequency (%)
1
100.0%
Distinct2093
Distinct (%)69.1%
Missing0
Missing (%)0.0%
Memory size23.8 KiB
Minimum2007-07-03 15:14:58
Maximum2024-04-04 15:27:53
2024-04-06T22:14:37.311182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:14:37.509512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.8 KiB
I
2570 
U
460 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 2570
84.8%
U 460
 
15.2%

Length

2024-04-06T22:14:37.691942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:14:37.841249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2570
84.8%
u 460
 
15.2%
Distinct500
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Memory size23.8 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-04-06T22:14:38.049608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:14:38.232180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3030
Missing (%)100.0%
Memory size26.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1344
Distinct (%)46.6%
Missing146
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean201992.32
Minimum200012.52
Maximum204157.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.8 KiB
2024-04-06T22:14:38.430963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200012.52
5-th percentile200936.95
Q1201493.55
median201982.78
Q3202454.99
95-th percentile203161.8
Maximum204157.84
Range4145.3212
Interquartile range (IQR)961.44036

Descriptive statistics

Standard deviation698.88438
Coefficient of variation (CV)0.0034599551
Kurtosis0.021243794
Mean201992.32
Median Absolute Deviation (MAD)484.24824
Skewness0.28902659
Sum5.8254586 × 108
Variance488439.37
MonotonicityNot monotonic
2024-04-06T22:14:38.590010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202025.256429555 22
 
0.7%
201564.838398137 11
 
0.4%
203540.984593238 11
 
0.4%
201509.216262208 10
 
0.3%
203784.358132827 9
 
0.3%
201196.612951455 9
 
0.3%
203405.728060301 9
 
0.3%
201606.445832012 9
 
0.3%
202155.401317068 9
 
0.3%
202403.865826057 9
 
0.3%
Other values (1334) 2776
91.6%
(Missing) 146
 
4.8%
ValueCountFrequency (%)
200012.522282214 1
 
< 0.1%
200020.571943402 2
0.1%
200148.731152578 3
0.1%
200151.387720648 1
 
< 0.1%
200164.057201062 1
 
< 0.1%
200234.13213979 3
0.1%
200332.489971482 2
0.1%
200359.678972882 3
0.1%
200444.869391748 1
 
< 0.1%
200494.244560256 2
0.1%
ValueCountFrequency (%)
204157.843492258 4
0.1%
204083.177112537 6
0.2%
204001.173587299 2
 
0.1%
203999.650902849 1
 
< 0.1%
203982.734025835 2
 
0.1%
203981.35 5
0.2%
203932.991517795 2
 
0.1%
203923.583561403 2
 
0.1%
203920.882629874 4
0.1%
203874.192185321 2
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1344
Distinct (%)46.6%
Missing146
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean458822.17
Minimum456377.65
Maximum463956.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.8 KiB
2024-04-06T22:14:38.773358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum456377.65
5-th percentile456845.37
Q1457804.18
median458886.52
Q3459758.99
95-th percentile460628.68
Maximum463956.34
Range7578.6925
Interquartile range (IQR)1954.8169

Descriptive statistics

Standard deviation1265.7308
Coefficient of variation (CV)0.0027586522
Kurtosis-0.0085591172
Mean458822.17
Median Absolute Deviation (MAD)954.76613
Skewness0.32579318
Sum1.3232431 × 109
Variance1602074.4
MonotonicityNot monotonic
2024-04-06T22:14:39.012080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
459220.113925178 22
 
0.7%
458151.567936433 11
 
0.4%
457626.759229664 11
 
0.4%
460044.805069984 10
 
0.3%
458347.853266178 9
 
0.3%
460569.684262904 9
 
0.3%
458203.976557842 9
 
0.3%
460001.632075829 9
 
0.3%
459411.940883021 9
 
0.3%
456972.146378623 9
 
0.3%
Other values (1334) 2776
91.6%
(Missing) 146
 
4.8%
ValueCountFrequency (%)
456377.651999255 4
0.1%
456442.951197483 2
 
0.1%
456449.379330053 3
0.1%
456462.197707929 1
 
< 0.1%
456473.886142136 6
0.2%
456496.149407852 1
 
< 0.1%
456503.981256488 1
 
< 0.1%
456505.826623812 1
 
< 0.1%
456517.74915445 2
 
0.1%
456535.868179191 1
 
< 0.1%
ValueCountFrequency (%)
463956.344451625 1
 
< 0.1%
463555.213506333 2
0.1%
463381.449034089 2
0.1%
463204.449254807 4
0.1%
462993.930084658 1
 
< 0.1%
462911.037338467 1
 
< 0.1%
462515.41269385 1
 
< 0.1%
462443.346065771 2
0.1%
462416.392839185 1
 
< 0.1%
462373.950921999 2
0.1%

지정일자
Real number (ℝ)

MISSING 

Distinct1336
Distinct (%)72.6%
Missing1191
Missing (%)39.3%
Infinite0
Infinite (%)0.0%
Mean20085176
Minimum19800701
Maximum20220316
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.8 KiB
2024-04-06T22:14:39.616226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19800701
5-th percentile19971086
Q120040162
median20090629
Q320140768
95-th percentile20190815
Maximum20220316
Range419615
Interquartile range (IQR)100606

Descriptive statistics

Standard deviation69995.864
Coefficient of variation (CV)0.0034849516
Kurtosis-0.480707
Mean20085176
Median Absolute Deviation (MAD)50324
Skewness-0.28709545
Sum3.6936638 × 1010
Variance4.899421 × 109
MonotonicityNot monotonic
2024-04-06T22:14:39.809434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19950301 58
 
1.9%
19981130 10
 
0.3%
20080519 6
 
0.2%
19981117 6
 
0.2%
19981105 5
 
0.2%
20061228 5
 
0.2%
20150611 5
 
0.2%
19981116 5
 
0.2%
20040420 4
 
0.1%
20050609 4
 
0.1%
Other values (1326) 1731
57.1%
(Missing) 1191
39.3%
ValueCountFrequency (%)
19800701 2
0.1%
19850328 1
< 0.1%
19870122 1
< 0.1%
19871126 1
< 0.1%
19900307 1
< 0.1%
19910319 1
< 0.1%
19920820 1
< 0.1%
19930125 1
< 0.1%
19940614 1
< 0.1%
19940708 1
< 0.1%
ValueCountFrequency (%)
20220316 1
 
< 0.1%
20220207 1
 
< 0.1%
20211220 2
0.1%
20211217 1
 
< 0.1%
20211214 1
 
< 0.1%
20211116 1
 
< 0.1%
20211029 1
 
< 0.1%
20211026 3
0.1%
20211022 1
 
< 0.1%
20211008 1
 
< 0.1%

민원종류명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.8 KiB
<NA>
1191 
2009년11월법개정전자료
947 
제7조의3제2항에따른경우
823 
제7조의3제3항에따른경우
 
69

Length

Max length14
Median length13
Mean length9.7749175
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1191
39.3%
2009년11월법개정전자료 947
31.3%
제7조의3제2항에따른경우 823
27.2%
제7조의3제3항에따른경우 69
 
2.3%

Length

2024-04-06T22:14:40.006070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:14:40.195265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1191
39.3%
2009년11월법개정전자료 947
31.3%
제7조의3제2항에따른경우 823
27.2%
제7조의3제3항에따른경우 69
 
2.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)지정일자민원종류명
0308000019803080075056005051980-01-01<NA>3폐업2폐업처리2023-07-04<NA><NA><NA>988-7016<NA><NA>서울특별시 강북구 미아동 860번지 191호서울특별시 강북구 도봉로8길 21 (미아동)<NA>세븐일레븐미아제일점2023-07-04 13:17:10U2022-12-07 00:06:00.0<NA>202708.543649456691.143759<NA><NA>
13080000198030800750560052619800701<NA>3폐업2폐업처리20030818<NA><NA><NA>02 9814108<NA><NA>서울특별시 강북구 미아동 75호<NA><NA>슈퍼2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA>
23080000198030801390560020419800701<NA>3폐업2폐업처리20110421<NA><NA><NA>980-2518<NA>142100서울특별시 강북구 미아동 40번지 2호서울특별시 강북구 도봉로 20 (미아동)<NA>영종매점2011-04-21 15:57:09I2018-08-31 23:59:59.0<NA>202638.624397456503.981256198007012009년11월법개정전자료
33080000198030801390560020519800701<NA>3폐업2폐업처리20150319<NA><NA><NA>02-902-1952<NA>142070서울특별시 강북구 수유동 522번지 1호서울특별시 강북구 삼각산로 13 (수유동)142070백운상회2015-03-19 17:17:59I2018-08-31 23:59:59.0<NA>200444.869392459545.857978198007012009년11월법개정전자료
43080000198430800750560071519841010<NA>3폐업2폐업처리20020311<NA><NA><NA>02 9066428<NA><NA>서울특별시 강북구 수유동 32호 중앙시장상가2호<NA><NA>담배2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA>
53080000198530801390560000019850328<NA>3폐업2폐업처리20151014<NA><NA><NA>988-2819<NA>142100서울특별시 강북구 미아동 688번지 5호 1층 8호서울특별시 강북구 솔샘로 254 (미아동,1층 8호)<NA>고바우문구2015-10-14 14:50:56I2018-08-31 23:59:59.0<NA>201762.419935457441.24407198503282009년11월법개정전자료
63080000198730800750560031019871126<NA>3폐업2폐업처리20021016<NA><NA><NA>980-8640<NA><NA>서울특별시 강북구 미아동 316번지 30호서울특별시 강북구 도봉로37길 24-2 (미아동)<NA>보람상회2011-04-14 10:26:29I2018-08-31 23:59:59.0<NA>202236.162035457766.944681198711262009년11월법개정전자료
73080000198730801390560000119870122<NA>3폐업2폐업처리20120912<NA><NA><NA>905-0006<NA>142888서울특별시 강북구 수유2동 713번지 21호서울특별시 강북구 노해로33길 60 (수유동)<NA>용한약국2012-09-12 16:49:11I2018-08-31 23:59:59.0<NA>201819.727762460521.722341198701222009년11월법개정전자료
8308000019893080075056006901989-08-09<NA>3폐업2폐업처리2023-03-27<NA><NA><NA>903-6226<NA><NA>서울특별시 강북구 수유동 192번지 4 호서울특별시 강북구 한천로139길 46 (수유동)142-878나영상회2023-03-27 18:51:43U2022-12-02 22:09:00.0<NA>202114.575261459591.251823<NA><NA>
93080000198930800750560069919890715<NA>3폐업2폐업처리20021029<NA><NA><NA>02 9029983<NA><NA>서울특별시 강북구 수유동 2번지 15호서울특별시 강북구 수유로23길 8 (수유동)<NA>담배2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA>201916.482404459365.202656<NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)지정일자민원종류명
3020308000020243080190056000052024-02-07<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 45-2 101호서울특별시 강북구 노해로 1, 1층 101호 (수유동)01081지에스(GS)25수유더오페라2024-02-14 09:57:03U2023-12-01 23:06:00.0<NA>201946.879194459256.471647<NA><NA>
3021308000020243080190056000072024-02-19<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 777-5서울특별시 강북구 삼양로 248 (미아동)01122지에스25(GS25)삼양오거리점2024-02-19 11:22:45I2023-12-01 22:01:00.0<NA>201564.838398458151.567936<NA><NA>
3022308000020243080190056000082024-02-19<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 856-8서울특별시 강북구 월계로7길 48 (미아동)01222알뜰 야채 과일2024-02-19 11:24:21I2023-12-01 22:01:00.0<NA>202908.788614456650.868384<NA><NA>
3023308000020243080190056000092024-02-27<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 1371 꿈의숲 한신더휴 상가동 비308호서울특별시 강북구 오패산로 202, 상가동 제지3층 비308호 (미아동, 꿈의숲 한신더휴)01156아이지에이마트2024-02-27 10:25:19I2023-12-01 22:09:00.0<NA>202845.574609457603.540344<NA><NA>
3024308000020243080190056000102024-03-04<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 51-9서울특별시 강북구 도봉로71가길 22-2, 1층 (수유동)01114명품로또2024-03-04 18:41:29I2023-12-03 00:06:00.0<NA>201904.230117458869.002324<NA><NA>
3025308000020243080190056000112024-03-15<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 317-30서울특별시 강북구 도봉로33길 10, 1층 (미아동)01175씨유 미아행운점2024-03-18 18:17:07I2023-12-02 22:00:00.0<NA>202341.130589457704.312834<NA><NA>
3026308000020243080190056000122024-03-20<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 번동 148-459 극동6차빌라서울특별시 강북구 오현로25라길 34, 제지하층 전부호 (번동, 극동6차빌라)01147세븐일레븐 번동리치2024-03-21 09:31:54I2023-12-02 22:03:00.0<NA>203038.777438458330.268359<NA><NA>
3027308000020243080190056000132024-03-26<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 561-20서울특별시 강북구 인수봉로77길 22, 1층 (수유동)01014(주)코리아세븐 수유센터점2024-03-26 10:12:31I2023-12-02 22:08:00.0<NA>200773.462433460253.772646<NA><NA>
3028308000020243080190056000142024-04-01<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 293-2 좌측호서울특별시 강북구 인수봉로76길 37, 좌측호 (수유동)01031이마트24 수유본점2024-04-04 15:27:53U2023-12-04 00:06:00.0<NA>201051.844085460211.888897<NA><NA>
3029308000020243080190056000152024-04-01<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 791-957 대성빌딩 좌측3칸호서울특별시 강북구 삼양로 261, 대성빌딩 좌측3칸호 (미아동)01109지에스25(GS25)삼양역점2024-04-01 17:30:28I2023-12-04 00:03:00.0<NA>201516.738326458266.207333<NA><NA>