Overview

Dataset statistics

Number of variables27
Number of observations6702
Missing cells57820
Missing cells (%)32.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 MiB
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
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-19924/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 5809 (86.7%) missing valuesMissing
폐업일자 has 1976 (29.5%) missing valuesMissing
휴업시작일자 has 6278 (93.7%) missing valuesMissing
휴업종료일자 has 6278 (93.7%) missing valuesMissing
재개업일자 has 6702 (100.0%) missing valuesMissing
전화번호 has 3656 (54.6%) missing valuesMissing
소재지면적 has 6702 (100.0%) missing valuesMissing
소재지우편번호 has 4893 (73.0%) missing valuesMissing
도로명주소 has 636 (9.5%) missing valuesMissing
도로명우편번호 has 4238 (63.2%) missing valuesMissing
업태구분명 has 6702 (100.0%) missing valuesMissing
좌표정보(X) has 558 (8.3%) missing valuesMissing
좌표정보(Y) has 558 (8.3%) missing valuesMissing
지정일자 has 2796 (41.7%) missing valuesMissing
관리번호 is highly skewed (γ1 = -53.44775925)Skewed
지정일자 is highly skewed (γ1 = -58.56655921)Skewed
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 1053 (15.7%) zerosZeros

Reproduction

Analysis started2024-04-06 13:28:17.751024
Analysis finished2024-04-06 13:28:19.508789
Duration1.76 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size52.5 KiB
3220000
6702 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3220000
2nd row3220000
3rd row3220000
4th row3220000
5th row3220000

Common Values

ValueCountFrequency (%)
3220000 6702
100.0%

Length

2024-04-06T22:28:19.570101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:28:19.658537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 6702
100.0%

관리번호
Real number (ℝ)

SKEWED  UNIQUE 

Distinct6702
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.007185 × 1018
Minimum1.3220083 × 1015
Maximum2.024322 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size59.0 KiB
2024-04-06T22:28:19.758189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.3220083 × 1015
5-th percentile1.997322 × 1018
Q12.002322 × 1018
median2.007322 × 1018
Q32.014322 × 1018
95-th percentile2.020322 × 1018
Maximum2.024322 × 1018
Range2.023 × 1018
Interquartile range (IQR)1.2000008 × 1016

Descriptive statistics

Standard deviation3.4853608 × 1016
Coefficient of variation (CV)0.017364422
Kurtosis3013.5765
Mean2.007185 × 1018
Median Absolute Deviation (MAD)6.0000028 × 1015
Skewness-53.447759
Sum4.4776989 × 1018
Variance1.214774 × 1033
MonotonicityStrictly increasing
2024-04-06T22:28:19.893695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1322008305600046 1
 
< 0.1%
2011322016205600180 1
 
< 0.1%
2011322016205600152 1
 
< 0.1%
2011322016205600151 1
 
< 0.1%
2011322016205600150 1
 
< 0.1%
2011322016205600149 1
 
< 0.1%
2011322016205600148 1
 
< 0.1%
2011322016205600147 1
 
< 0.1%
2011322016205600146 1
 
< 0.1%
2011322016205600145 1
 
< 0.1%
Other values (6692) 6692
99.9%
ValueCountFrequency (%)
1322008305600046 1
< 0.1%
86322012705601117 1
< 0.1%
1883322008305600189 1
< 0.1%
1973322008305600007 1
< 0.1%
1974322008305600004 1
< 0.1%
1977322008305600100 1
< 0.1%
1980322008305600001 1
< 0.1%
1980322008305600005 1
< 0.1%
1980322008305600261 1
< 0.1%
1980322008305600313 1
< 0.1%
ValueCountFrequency (%)
2024322024905600025 1
< 0.1%
2024322024905600024 1
< 0.1%
2024322024905600023 1
< 0.1%
2024322024905600022 1
< 0.1%
2024322024905600021 1
< 0.1%
2024322024905600020 1
< 0.1%
2024322024905600019 1
< 0.1%
2024322024905600018 1
< 0.1%
2024322024905600017 1
< 0.1%
2024322024905600016 1
< 0.1%
Distinct3679
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Memory size52.5 KiB
2024-04-06T22:28:20.201492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.0960907
Min length8

Characters and Unicode

Total characters54260
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

Unique2086 ?
Unique (%)31.1%

Sample

1st row19870821
2nd row19861117
3rd row20010316
4th row19730316
5th row19741104
ValueCountFrequency (%)
20010904 43
 
0.6%
19981116 28
 
0.4%
19991201 22
 
0.3%
19981111 20
 
0.3%
19980501 17
 
0.3%
19981123 13
 
0.2%
20000828 12
 
0.2%
20031211 11
 
0.2%
19981026 11
 
0.2%
19981029 11
 
0.2%
Other values (3669) 6514
97.2%
2024-04-06T22:28:20.642766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 17871
32.9%
2 10927
20.1%
1 9959
18.4%
9 3430
 
6.3%
3 2224
 
4.1%
8 1983
 
3.7%
7 1834
 
3.4%
6 1829
 
3.4%
4 1805
 
3.3%
5 1740
 
3.2%
Other values (2) 658
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 53602
98.8%
Dash Punctuation 644
 
1.2%
Space Separator 14
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17871
33.3%
2 10927
20.4%
1 9959
18.6%
9 3430
 
6.4%
3 2224
 
4.1%
8 1983
 
3.7%
7 1834
 
3.4%
6 1829
 
3.4%
4 1805
 
3.4%
5 1740
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 644
100.0%
Space Separator
ValueCountFrequency (%)
14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 54260
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 17871
32.9%
2 10927
20.1%
1 9959
18.4%
9 3430
 
6.3%
3 2224
 
4.1%
8 1983
 
3.7%
7 1834
 
3.4%
6 1829
 
3.4%
4 1805
 
3.3%
5 1740
 
3.2%
Other values (2) 658
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 54260
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 17871
32.9%
2 10927
20.1%
1 9959
18.4%
9 3430
 
6.3%
3 2224
 
4.1%
8 1983
 
3.7%
7 1834
 
3.4%
6 1829
 
3.4%
4 1805
 
3.3%
5 1740
 
3.2%
Other values (2) 658
 
1.2%

인허가취소일자
Date

MISSING 

Distinct283
Distinct (%)31.7%
Missing5809
Missing (%)86.7%
Memory size52.5 KiB
Minimum1993-12-06 00:00:00
Maximum2023-07-11 00:00:00
2024-04-06T22:28:20.796878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:28:20.946335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size52.5 KiB
3
4726 
1
1053 
4
915 
2
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row3
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
3 4726
70.5%
1 1053
 
15.7%
4 915
 
13.7%
2 8
 
0.1%

Length

2024-04-06T22:28:21.092561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:28:21.188908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 4726
70.5%
1 1053
 
15.7%
4 915
 
13.7%
2 8
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size52.5 KiB
폐업
4726 
영업/정상
1053 
취소/말소/만료/정지/중지
915 
휴업
 
8

Length

Max length14
Median length2
Mean length4.1096688
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 4726
70.5%
영업/정상 1053
 
15.7%
취소/말소/만료/정지/중지 915
 
13.7%
휴업 8
 
0.1%

Length

2024-04-06T22:28:21.379143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:28:21.522592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 4726
70.5%
영업/정상 1053
 
15.7%
취소/말소/만료/정지/중지 915
 
13.7%
휴업 8
 
0.1%

상세영업상태코드
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9874664
Minimum0
Maximum5
Zeros1053
Zeros (%)15.7%
Negative0
Negative (%)0.0%
Memory size59.0 KiB
2024-04-06T22:28:21.612320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median2
Q32
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1956087
Coefficient of variation (CV)0.60157431
Kurtosis1.5562107
Mean1.9874664
Median Absolute Deviation (MAD)0
Skewness0.63307074
Sum13320
Variance1.4294803
MonotonicityNot monotonic
2024-04-06T22:28:21.698626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 4726
70.5%
0 1053
 
15.7%
5 550
 
8.2%
3 350
 
5.2%
4 15
 
0.2%
1 8
 
0.1%
ValueCountFrequency (%)
0 1053
 
15.7%
1 8
 
0.1%
2 4726
70.5%
3 350
 
5.2%
4 15
 
0.2%
5 550
 
8.2%
ValueCountFrequency (%)
5 550
 
8.2%
4 15
 
0.2%
3 350
 
5.2%
2 4726
70.5%
1 8
 
0.1%
0 1053
 
15.7%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size52.5 KiB
폐업처리
4726 
정상영업
1053 
지정취소
550 
직권취소
 
350
임시소매기간만료
 
15

Length

Max length8
Median length4
Mean length4.0089526
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row정상영업
2nd row폐업처리
3rd row지정취소
4th row직권취소
5th row직권취소

Common Values

ValueCountFrequency (%)
폐업처리 4726
70.5%
정상영업 1053
 
15.7%
지정취소 550
 
8.2%
직권취소 350
 
5.2%
임시소매기간만료 15
 
0.2%
휴업처리 8
 
0.1%

Length

2024-04-06T22:28:21.809281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:28:21.914512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 4726
70.5%
정상영업 1053
 
15.7%
지정취소 550
 
8.2%
직권취소 350
 
5.2%
임시소매기간만료 15
 
0.2%
휴업처리 8
 
0.1%

폐업일자
Date

MISSING 

Distinct2986
Distinct (%)63.2%
Missing1976
Missing (%)29.5%
Memory size52.5 KiB
Minimum1996-03-03 00:00:00
Maximum2024-03-21 00:00:00
2024-04-06T22:28:22.037514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:28:22.166969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct179
Distinct (%)42.2%
Missing6278
Missing (%)93.7%
Memory size52.5 KiB
Minimum2001-06-02 00:00:00
Maximum2023-12-22 00:00:00
2024-04-06T22:28:22.285713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:28:22.409895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업종료일자
Date

MISSING 

Distinct177
Distinct (%)41.7%
Missing6278
Missing (%)93.7%
Memory size52.5 KiB
Minimum2001-10-20 00:00:00
Maximum2025-12-30 00:00:00
2024-04-06T22:28:22.547499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:28:22.733758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6702
Missing (%)100.0%
Memory size59.0 KiB

전화번호
Text

MISSING 

Distinct2255
Distinct (%)74.0%
Missing3656
Missing (%)54.6%
Memory size52.5 KiB
2024-04-06T22:28:22.976401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length9.8683519
Min length1

Characters and Unicode

Total characters30059
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

Unique1886 ?
Unique (%)61.9%

Sample

1st row02 4480162
2nd row0200000000
3rd row0200000000
4th row0200000000
5th row0200000000
ValueCountFrequency (%)
02 1441
31.7%
0200000000 117
 
2.6%
0000000 37
 
0.8%
35
 
0.8%
031 28
 
0.6%
0221275801 27
 
0.6%
1577-0711 20
 
0.4%
0215770711 17
 
0.4%
02-1577-0711 11
 
0.2%
02-535-6103 10
 
0.2%
Other values (2262) 2798
61.6%
2024-04-06T22:28:23.358817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5735
19.1%
2 4571
15.2%
5 3893
13.0%
4 2585
8.6%
1 2144
 
7.1%
3 1874
 
6.2%
6 1872
 
6.2%
7 1791
 
6.0%
1495
 
5.0%
8 1466
 
4.9%
Other values (3) 2633
8.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 27356
91.0%
Space Separator 1495
 
5.0%
Dash Punctuation 1207
 
4.0%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5735
21.0%
2 4571
16.7%
5 3893
14.2%
4 2585
9.4%
1 2144
 
7.8%
3 1874
 
6.9%
6 1872
 
6.8%
7 1791
 
6.5%
8 1466
 
5.4%
9 1425
 
5.2%
Space Separator
ValueCountFrequency (%)
1495
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1207
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30059
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5735
19.1%
2 4571
15.2%
5 3893
13.0%
4 2585
8.6%
1 2144
 
7.1%
3 1874
 
6.2%
6 1872
 
6.2%
7 1791
 
6.0%
1495
 
5.0%
8 1466
 
4.9%
Other values (3) 2633
8.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30059
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5735
19.1%
2 4571
15.2%
5 3893
13.0%
4 2585
8.6%
1 2144
 
7.1%
3 1874
 
6.2%
6 1872
 
6.2%
7 1791
 
6.0%
1495
 
5.0%
8 1466
 
4.9%
Other values (3) 2633
8.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6702
Missing (%)100.0%
Memory size59.0 KiB

소재지우편번호
Text

MISSING 

Distinct237
Distinct (%)13.1%
Missing4893
Missing (%)73.0%
Memory size52.5 KiB
2024-04-06T22:28:23.666038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0082919
Min length6

Characters and Unicode

Total characters10869
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

Unique46 ?
Unique (%)2.5%

Sample

1st row135894
2nd row135120
3rd row135892
4th row135825
5th row135080
ValueCountFrequency (%)
135080 87
 
4.8%
135240 62
 
3.4%
135010 60
 
3.3%
135280 52
 
2.9%
135090 47
 
2.6%
135120 30
 
1.7%
135513 30
 
1.7%
135897 30
 
1.7%
135100 28
 
1.5%
135935 26
 
1.4%
Other values (227) 1357
75.0%
2024-04-06T22:28:24.111521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2349
21.6%
5 2216
20.4%
3 2146
19.7%
8 979
9.0%
0 939
 
8.6%
9 846
 
7.8%
2 512
 
4.7%
4 353
 
3.2%
7 323
 
3.0%
6 188
 
1.7%
Other values (2) 18
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10851
99.8%
Dash Punctuation 15
 
0.1%
Space Separator 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2349
21.6%
5 2216
20.4%
3 2146
19.8%
8 979
9.0%
0 939
 
8.7%
9 846
 
7.8%
2 512
 
4.7%
4 353
 
3.3%
7 323
 
3.0%
6 188
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10869
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2349
21.6%
5 2216
20.4%
3 2146
19.7%
8 979
9.0%
0 939
 
8.6%
9 846
 
7.8%
2 512
 
4.7%
4 353
 
3.2%
7 323
 
3.0%
6 188
 
1.7%
Other values (2) 18
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10869
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2349
21.6%
5 2216
20.4%
3 2146
19.7%
8 979
9.0%
0 939
 
8.6%
9 846
 
7.8%
2 512
 
4.7%
4 353
 
3.2%
7 323
 
3.0%
6 188
 
1.7%
Other values (2) 18
 
0.2%
Distinct5838
Distinct (%)87.6%
Missing38
Missing (%)0.6%
Memory size52.5 KiB
2024-04-06T22:28:24.438421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length47
Mean length26.566927
Min length16

Characters and Unicode

Total characters177042
Distinct characters493
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

Unique5211 ?
Unique (%)78.2%

Sample

1st row서울특별시 강남구 삼성동 112-0 태정빌딩
2nd row서울특별시 강남구 신사동 614번지 7호 방우상가
3rd row서울특별시 강남구 논현동 122번지 8 호 영동시장상가 12
4th row서울특별시 강남구 세곡동 375번지 2 호
5th row서울특별시 강남구 율현동 298번지 5 호
ValueCountFrequency (%)
서울특별시 6664
 
17.7%
강남구 6651
 
17.7%
역삼동 1323
 
3.5%
1층 1272
 
3.4%
논현동 905
 
2.4%
878
 
2.3%
대치동 757
 
2.0%
삼성동 628
 
1.7%
신사동 614
 
1.6%
청담동 388
 
1.0%
Other values (4026) 17499
46.6%
2024-04-06T22:28:24.913074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35951
20.3%
1 9249
 
5.2%
6897
 
3.9%
6866
 
3.9%
6833
 
3.9%
6807
 
3.8%
6774
 
3.8%
6722
 
3.8%
6692
 
3.8%
6671
 
3.8%
Other values (483) 77580
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 104354
58.9%
Space Separator 35951
 
20.3%
Decimal Number 34554
 
19.5%
Dash Punctuation 1165
 
0.7%
Uppercase Letter 547
 
0.3%
Other Punctuation 282
 
0.2%
Close Punctuation 71
 
< 0.1%
Open Punctuation 71
 
< 0.1%
Lowercase Letter 34
 
< 0.1%
Math Symbol 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6897
 
6.6%
6866
 
6.6%
6833
 
6.5%
6807
 
6.5%
6774
 
6.5%
6722
 
6.4%
6692
 
6.4%
6671
 
6.4%
6664
 
6.4%
6629
 
6.4%
Other values (421) 36799
35.3%
Uppercase Letter
ValueCountFrequency (%)
B 158
28.9%
A 66
12.1%
S 44
 
8.0%
K 32
 
5.9%
E 27
 
4.9%
L 24
 
4.4%
R 21
 
3.8%
O 19
 
3.5%
C 18
 
3.3%
I 14
 
2.6%
Other values (15) 124
22.7%
Lowercase Letter
ValueCountFrequency (%)
e 6
17.6%
o 4
11.8%
l 3
8.8%
r 3
8.8%
m 3
8.8%
i 2
 
5.9%
a 2
 
5.9%
s 2
 
5.9%
k 2
 
5.9%
b 2
 
5.9%
Other values (5) 5
14.7%
Decimal Number
ValueCountFrequency (%)
1 9249
26.8%
2 4212
12.2%
0 3180
 
9.2%
6 2991
 
8.7%
3 2661
 
7.7%
4 2598
 
7.5%
5 2497
 
7.2%
7 2440
 
7.1%
8 2384
 
6.9%
9 2342
 
6.8%
Other Punctuation
ValueCountFrequency (%)
, 265
94.0%
. 6
 
2.1%
/ 5
 
1.8%
& 4
 
1.4%
@ 1
 
0.4%
' 1
 
0.4%
Space Separator
ValueCountFrequency (%)
35951
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1165
100.0%
Close Punctuation
ValueCountFrequency (%)
) 71
100.0%
Open Punctuation
ValueCountFrequency (%)
( 71
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 104354
58.9%
Common 72106
40.7%
Latin 582
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6897
 
6.6%
6866
 
6.6%
6833
 
6.5%
6807
 
6.5%
6774
 
6.5%
6722
 
6.4%
6692
 
6.4%
6671
 
6.4%
6664
 
6.4%
6629
 
6.4%
Other values (421) 36799
35.3%
Latin
ValueCountFrequency (%)
B 158
27.1%
A 66
11.3%
S 44
 
7.6%
K 32
 
5.5%
E 27
 
4.6%
L 24
 
4.1%
R 21
 
3.6%
O 19
 
3.3%
C 18
 
3.1%
I 14
 
2.4%
Other values (31) 159
27.3%
Common
ValueCountFrequency (%)
35951
49.9%
1 9249
 
12.8%
2 4212
 
5.8%
0 3180
 
4.4%
6 2991
 
4.1%
3 2661
 
3.7%
4 2598
 
3.6%
5 2497
 
3.5%
7 2440
 
3.4%
8 2384
 
3.3%
Other values (11) 3943
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 104354
58.9%
ASCII 72687
41.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35951
49.5%
1 9249
 
12.7%
2 4212
 
5.8%
0 3180
 
4.4%
6 2991
 
4.1%
3 2661
 
3.7%
4 2598
 
3.6%
5 2497
 
3.4%
7 2440
 
3.4%
8 2384
 
3.3%
Other values (51) 4524
 
6.2%
Hangul
ValueCountFrequency (%)
6897
 
6.6%
6866
 
6.6%
6833
 
6.5%
6807
 
6.5%
6774
 
6.5%
6722
 
6.4%
6692
 
6.4%
6671
 
6.4%
6664
 
6.4%
6629
 
6.4%
Other values (421) 36799
35.3%
Number Forms
ValueCountFrequency (%)
1
100.0%

도로명주소
Text

MISSING 

Distinct4759
Distinct (%)78.5%
Missing636
Missing (%)9.5%
Memory size52.5 KiB
2024-04-06T22:28:25.184867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length53
Mean length30.938345
Min length19

Characters and Unicode

Total characters187672
Distinct characters503
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

Unique3906 ?
Unique (%)64.4%

Sample

1st row서울특별시 강남구 선릉로 578, 태정빌딩 (삼성동)
2nd row서울특별시 강남구 압구정로 212 (신사동,방우상가)
3rd row서울특별시 강남구 학동로4길 15 (논현동,영동시장상가 12)
4th row서울특별시 강남구 헌릉로571길 46-2 (세곡동)
5th row서울특별시 강남구 남부순환로365길 19, 1층 1호 (도곡동)
ValueCountFrequency (%)
서울특별시 6066
 
17.0%
강남구 6056
 
17.0%
1층 1404
 
3.9%
역삼동 1104
 
3.1%
논현동 763
 
2.1%
대치동 583
 
1.6%
삼성동 501
 
1.4%
신사동 442
 
1.2%
테헤란로 370
 
1.0%
101호 294
 
0.8%
Other values (3655) 18082
50.7%
2024-04-06T22:28:25.611766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29608
 
15.8%
1 9514
 
5.1%
6877
 
3.7%
6876
 
3.7%
6654
 
3.5%
6482
 
3.5%
6229
 
3.3%
6147
 
3.3%
6131
 
3.3%
( 6118
 
3.3%
Other values (493) 97036
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 109467
58.3%
Decimal Number 30501
 
16.3%
Space Separator 29608
 
15.8%
Open Punctuation 6118
 
3.3%
Close Punctuation 6118
 
3.3%
Other Punctuation 4807
 
2.6%
Uppercase Letter 650
 
0.3%
Dash Punctuation 344
 
0.2%
Lowercase Letter 33
 
< 0.1%
Math Symbol 23
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6877
 
6.3%
6876
 
6.3%
6654
 
6.1%
6482
 
5.9%
6229
 
5.7%
6147
 
5.6%
6131
 
5.6%
6097
 
5.6%
6072
 
5.5%
6066
 
5.5%
Other values (431) 45836
41.9%
Uppercase Letter
ValueCountFrequency (%)
B 214
32.9%
A 69
 
10.6%
S 51
 
7.8%
K 38
 
5.8%
R 31
 
4.8%
E 29
 
4.5%
L 21
 
3.2%
O 20
 
3.1%
H 18
 
2.8%
C 17
 
2.6%
Other values (15) 142
21.8%
Lowercase Letter
ValueCountFrequency (%)
e 6
18.2%
o 4
12.1%
m 3
9.1%
r 3
9.1%
l 3
9.1%
k 2
 
6.1%
s 2
 
6.1%
a 2
 
6.1%
i 2
 
6.1%
g 1
 
3.0%
Other values (5) 5
15.2%
Decimal Number
ValueCountFrequency (%)
1 9514
31.2%
2 3700
 
12.1%
0 3160
 
10.4%
3 2955
 
9.7%
4 2393
 
7.8%
5 2192
 
7.2%
6 1874
 
6.1%
8 1740
 
5.7%
7 1733
 
5.7%
9 1240
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 4786
99.6%
. 9
 
0.2%
/ 5
 
0.1%
& 5
 
0.1%
' 1
 
< 0.1%
@ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
29608
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6118
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6118
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 344
100.0%
Math Symbol
ValueCountFrequency (%)
~ 23
100.0%
Letter Number
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 109467
58.3%
Common 77519
41.3%
Latin 686
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6877
 
6.3%
6876
 
6.3%
6654
 
6.1%
6482
 
5.9%
6229
 
5.7%
6147
 
5.6%
6131
 
5.6%
6097
 
5.6%
6072
 
5.5%
6066
 
5.5%
Other values (431) 45836
41.9%
Latin
ValueCountFrequency (%)
B 214
31.2%
A 69
 
10.1%
S 51
 
7.4%
K 38
 
5.5%
R 31
 
4.5%
E 29
 
4.2%
L 21
 
3.1%
O 20
 
2.9%
H 18
 
2.6%
C 17
 
2.5%
Other values (31) 178
25.9%
Common
ValueCountFrequency (%)
29608
38.2%
1 9514
 
12.3%
( 6118
 
7.9%
) 6118
 
7.9%
, 4786
 
6.2%
2 3700
 
4.8%
0 3160
 
4.1%
3 2955
 
3.8%
4 2393
 
3.1%
5 2192
 
2.8%
Other values (11) 6975
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 109467
58.3%
ASCII 78202
41.7%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29608
37.9%
1 9514
 
12.2%
( 6118
 
7.8%
) 6118
 
7.8%
, 4786
 
6.1%
2 3700
 
4.7%
0 3160
 
4.0%
3 2955
 
3.8%
4 2393
 
3.1%
5 2192
 
2.8%
Other values (51) 7658
 
9.8%
Hangul
ValueCountFrequency (%)
6877
 
6.3%
6876
 
6.3%
6654
 
6.1%
6482
 
5.9%
6229
 
5.7%
6147
 
5.6%
6131
 
5.6%
6097
 
5.6%
6072
 
5.5%
6066
 
5.5%
Other values (431) 45836
41.9%
Number Forms
ValueCountFrequency (%)
3
100.0%

도로명우편번호
Text

MISSING 

Distinct541
Distinct (%)22.0%
Missing4238
Missing (%)63.2%
Memory size52.5 KiB
2024-04-06T22:28:25.914621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3222403
Min length5

Characters and Unicode

Total characters13114
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

Unique99 ?
Unique (%)4.0%

Sample

1st row06153
2nd row06269
3rd row06019
4th row06125
5th row06239
ValueCountFrequency (%)
06164 33
 
1.3%
06232 22
 
0.9%
06280 18
 
0.7%
135897 18
 
0.7%
06114 16
 
0.6%
06014 16
 
0.6%
135840 16
 
0.6%
06018 15
 
0.6%
06197 15
 
0.6%
06122 15
 
0.6%
Other values (531) 2280
92.5%
2024-04-06T22:28:26.396904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2585
19.7%
6 2135
16.3%
1 1948
14.9%
3 1586
12.1%
5 1275
9.7%
2 1047
8.0%
9 777
 
5.9%
8 690
 
5.3%
7 538
 
4.1%
4 520
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13101
99.9%
Dash Punctuation 13
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2585
19.7%
6 2135
16.3%
1 1948
14.9%
3 1586
12.1%
5 1275
9.7%
2 1047
8.0%
9 777
 
5.9%
8 690
 
5.3%
7 538
 
4.1%
4 520
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13114
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2585
19.7%
6 2135
16.3%
1 1948
14.9%
3 1586
12.1%
5 1275
9.7%
2 1047
8.0%
9 777
 
5.9%
8 690
 
5.3%
7 538
 
4.1%
4 520
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13114
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2585
19.7%
6 2135
16.3%
1 1948
14.9%
3 1586
12.1%
5 1275
9.7%
2 1047
8.0%
9 777
 
5.9%
8 690
 
5.3%
7 538
 
4.1%
4 520
 
4.0%
Distinct5117
Distinct (%)76.4%
Missing0
Missing (%)0.0%
Memory size52.5 KiB
2024-04-06T22:28:26.668315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length25
Mean length8.1265294
Min length1

Characters and Unicode

Total characters54464
Distinct characters737
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4232 ?
Unique (%)63.1%

Sample

1st row위드미 선릉청운점
2nd row강남식품
3rd row소망약국
4th row상호없슴
5th row상호없슴
ValueCountFrequency (%)
gs25 410
 
4.4%
씨유 325
 
3.4%
세븐일레븐 184
 
2.0%
미니스톱 157
 
1.7%
지에스25 154
 
1.6%
주)코리아세븐 106
 
1.1%
이마트24 101
 
1.1%
훼미리마트 78
 
0.8%
지에스(gs)25 68
 
0.7%
지에스25(gs25 41
 
0.4%
Other values (4842) 7801
82.8%
2024-04-06T22:28:27.056694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3400
 
6.2%
2730
 
5.0%
1505
 
2.8%
2 1348
 
2.5%
1220
 
2.2%
1178
 
2.2%
5 1173
 
2.2%
990
 
1.8%
) 890
 
1.6%
( 882
 
1.6%
Other values (727) 39148
71.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44172
81.1%
Decimal Number 3059
 
5.6%
Space Separator 2730
 
5.0%
Uppercase Letter 2440
 
4.5%
Close Punctuation 890
 
1.6%
Open Punctuation 882
 
1.6%
Lowercase Letter 223
 
0.4%
Other Punctuation 44
 
0.1%
Dash Punctuation 22
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3400
 
7.7%
1505
 
3.4%
1220
 
2.8%
1178
 
2.7%
990
 
2.2%
876
 
2.0%
862
 
2.0%
803
 
1.8%
764
 
1.7%
740
 
1.7%
Other values (656) 31834
72.1%
Uppercase Letter
ValueCountFrequency (%)
G 845
34.6%
S 840
34.4%
C 117
 
4.8%
L 108
 
4.4%
U 83
 
3.4%
K 57
 
2.3%
R 43
 
1.8%
T 41
 
1.7%
M 40
 
1.6%
A 39
 
1.6%
Other values (14) 227
 
9.3%
Lowercase Letter
ValueCountFrequency (%)
e 35
15.7%
r 27
12.1%
a 26
11.7%
t 23
10.3%
s 18
 
8.1%
l 14
 
6.3%
g 10
 
4.5%
y 9
 
4.0%
o 8
 
3.6%
i 7
 
3.1%
Other values (13) 46
20.6%
Decimal Number
ValueCountFrequency (%)
2 1348
44.1%
5 1173
38.3%
4 165
 
5.4%
1 143
 
4.7%
3 70
 
2.3%
9 42
 
1.4%
6 39
 
1.3%
7 33
 
1.1%
0 26
 
0.8%
8 20
 
0.7%
Other Punctuation
ValueCountFrequency (%)
. 16
36.4%
& 10
22.7%
, 9
20.5%
! 2
 
4.5%
/ 2
 
4.5%
2
 
4.5%
' 2
 
4.5%
: 1
 
2.3%
Space Separator
ValueCountFrequency (%)
2730
100.0%
Close Punctuation
ValueCountFrequency (%)
) 890
100.0%
Open Punctuation
ValueCountFrequency (%)
( 882
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44173
81.1%
Common 7627
 
14.0%
Latin 2664
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3400
 
7.7%
1505
 
3.4%
1220
 
2.8%
1178
 
2.7%
990
 
2.2%
876
 
2.0%
862
 
2.0%
803
 
1.8%
764
 
1.7%
740
 
1.7%
Other values (657) 31835
72.1%
Latin
ValueCountFrequency (%)
G 845
31.7%
S 840
31.5%
C 117
 
4.4%
L 108
 
4.1%
U 83
 
3.1%
K 57
 
2.1%
R 43
 
1.6%
T 41
 
1.5%
M 40
 
1.5%
A 39
 
1.5%
Other values (38) 451
16.9%
Common
ValueCountFrequency (%)
2730
35.8%
2 1348
17.7%
5 1173
15.4%
) 890
 
11.7%
( 882
 
11.6%
4 165
 
2.2%
1 143
 
1.9%
3 70
 
0.9%
9 42
 
0.6%
6 39
 
0.5%
Other values (12) 145
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44170
81.1%
ASCII 10288
 
18.9%
None 3
 
< 0.1%
Compat Jamo 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
3400
 
7.7%
1505
 
3.4%
1220
 
2.8%
1178
 
2.7%
990
 
2.2%
876
 
2.0%
862
 
2.0%
803
 
1.8%
764
 
1.7%
740
 
1.7%
Other values (654) 31832
72.1%
ASCII
ValueCountFrequency (%)
2730
26.5%
2 1348
13.1%
5 1173
11.4%
) 890
 
8.7%
( 882
 
8.6%
G 845
 
8.2%
S 840
 
8.2%
4 165
 
1.6%
1 143
 
1.4%
C 117
 
1.1%
Other values (58) 1155
11.2%
None
ValueCountFrequency (%)
2
66.7%
1
33.3%
Number Forms
ValueCountFrequency (%)
1
100.0%
Compat Jamo
ValueCountFrequency (%)
1
50.0%
1
50.0%
Distinct5183
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Memory size52.5 KiB
Minimum2007-07-18 22:21:14
Maximum2024-04-04 15:44:27
2024-04-06T22:28:27.195977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:28:27.342574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size52.5 KiB
I
4640 
U
2062 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 4640
69.2%
U 2062
30.8%

Length

2024-04-06T22:28:27.775758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:28:27.866573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 4640
69.2%
u 2062
30.8%
Distinct869
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size52.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-04-06T22:28:27.981449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:28:28.143564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6702
Missing (%)100.0%
Memory size59.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2496
Distinct (%)40.6%
Missing558
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean204001.55
Minimum201247.89
Maximum213262.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size59.0 KiB
2024-04-06T22:28:28.327159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201247.89
5-th percentile202068.27
Q1202890.7
median203712.93
Q3204755.23
95-th percentile207299.04
Maximum213262.06
Range12014.17
Interquartile range (IQR)1864.5282

Descriptive statistics

Standard deviation1583.9128
Coefficient of variation (CV)0.0077642197
Kurtosis2.4294783
Mean204001.55
Median Absolute Deviation (MAD)934.72322
Skewness1.3520067
Sum1.2533855 × 109
Variance2508779.9
MonotonicityNot monotonic
2024-04-06T22:28:28.495000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205130.591678902 35
 
0.5%
202462.604763481 20
 
0.3%
203169.223281406 15
 
0.2%
204034.307044717 15
 
0.2%
205707.089399978 14
 
0.2%
202447.848471025 12
 
0.2%
205185.569667333 12
 
0.2%
208937.760652081 12
 
0.2%
204721.620225941 12
 
0.2%
206970.919291372 11
 
0.2%
Other values (2486) 5986
89.3%
(Missing) 558
 
8.3%
ValueCountFrequency (%)
201247.889543883 3
 
< 0.1%
201509.712645065 9
0.1%
201543.962547061 3
 
< 0.1%
201588.001969935 1
 
< 0.1%
201598.092444518 7
0.1%
201620.446225572 2
 
< 0.1%
201626.553096148 1
 
< 0.1%
201634.68108722 1
 
< 0.1%
201639.245453617 1
 
< 0.1%
201641.741382771 1
 
< 0.1%
ValueCountFrequency (%)
213262.059722309 1
 
< 0.1%
210494.867932488 1
 
< 0.1%
210473.821019121 5
0.1%
210464.707025061 2
 
< 0.1%
210442.413455881 3
< 0.1%
210409.444142629 5
0.1%
210399.618416566 2
 
< 0.1%
210050.902574 1
 
< 0.1%
209974.376878195 1
 
< 0.1%
209897.807021555 1
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct2495
Distinct (%)40.6%
Missing558
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean444739.23
Minimum439796.04
Maximum460985.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size59.0 KiB
2024-04-06T22:28:28.646245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439796.04
5-th percentile442086.06
Q1443839.45
median444787.81
Q3445846.7
95-th percentile447064.94
Maximum460985.13
Range21189.088
Interquartile range (IQR)2007.2441

Descriptive statistics

Standard deviation1525.5178
Coefficient of variation (CV)0.00343014
Kurtosis1.8941073
Mean444739.23
Median Absolute Deviation (MAD)1005.9918
Skewness-0.18438335
Sum2.7324778 × 109
Variance2327204.6
MonotonicityNot monotonic
2024-04-06T22:28:28.820203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
445590.096837802 35
 
0.5%
443960.186302868 20
 
0.3%
444178.357261909 15
 
0.2%
444662.663654104 15
 
0.2%
443914.194133105 14
 
0.2%
446447.1648066 12
 
0.2%
444964.438665335 12
 
0.2%
442873.588039887 12
 
0.2%
442481.518031817 12
 
0.2%
443574.411625824 11
 
0.2%
Other values (2485) 5986
89.3%
(Missing) 558
 
8.3%
ValueCountFrequency (%)
439796.044686133 3
< 0.1%
440094.367377097 1
 
< 0.1%
440114.723537769 2
 
< 0.1%
440137.950597011 3
< 0.1%
440160.783090703 3
< 0.1%
440177.714088708 1
 
< 0.1%
440183.87349816 2
 
< 0.1%
440208.558412381 7
0.1%
440224.26115069 3
< 0.1%
440233.388928253 1
 
< 0.1%
ValueCountFrequency (%)
460985.132561205 1
 
< 0.1%
449527.440852499 1
 
< 0.1%
447864.763737276 6
0.1%
447782.51322707 4
0.1%
447749.656306461 1
 
< 0.1%
447748.161018109 5
0.1%
447711.506252894 1
 
< 0.1%
447680.961855446 1
 
< 0.1%
447663.86257666 9
0.1%
447521.520319158 5
0.1%

지정일자
Real number (ℝ)

MISSING  SKEWED 

Distinct2460
Distinct (%)63.0%
Missing2796
Missing (%)41.7%
Infinite0
Infinite (%)0.0%
Mean20082722
Minimum199905
Maximum20220314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size59.0 KiB
2024-04-06T22:28:29.057208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum199905
5-th percentile19981116
Q120040827
median20090318
Q320140713
95-th percentile20190625
Maximum20220314
Range20020409
Interquartile range (IQR)99886

Descriptive statistics

Standard deviation325186.9
Coefficient of variation (CV)0.016192372
Kurtosis3581.4798
Mean20082722
Median Absolute Deviation (MAD)49903.5
Skewness-58.566559
Sum7.8443111 × 1010
Variance1.0574652 × 1011
MonotonicityNot monotonic
2024-04-06T22:28:29.252261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20010904 33
 
0.5%
19991201 21
 
0.3%
19980501 12
 
0.2%
19981116 11
 
0.2%
19990503 8
 
0.1%
20031211 8
 
0.1%
20070330 7
 
0.1%
20080303 7
 
0.1%
20010528 7
 
0.1%
20000828 7
 
0.1%
Other values (2450) 3785
56.5%
(Missing) 2796
41.7%
ValueCountFrequency (%)
199905 1
 
< 0.1%
19770630 1
 
< 0.1%
19801218 1
 
< 0.1%
19801224 1
 
< 0.1%
19810916 1
 
< 0.1%
19811120 1
 
< 0.1%
19830511 1
 
< 0.1%
19830518 1
 
< 0.1%
19830630 1
 
< 0.1%
19830803 3
< 0.1%
ValueCountFrequency (%)
20220314 1
< 0.1%
20220210 1
< 0.1%
20220209 1
< 0.1%
20220208 1
< 0.1%
20220126 1
< 0.1%
20220125 1
< 0.1%
20220121 1
< 0.1%
20220118 1
< 0.1%
20220112 1
< 0.1%
20211223 1
< 0.1%

민원종류명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size52.5 KiB
<NA>
2796 
2009년11월법개정전자료
1966 
제7조의3제2항에따른경우
1603 
제7조의3제3항에따른경우
337 

Length

Max length14
Median length13
Mean length9.5386452
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2796
41.7%
2009년11월법개정전자료 1966
29.3%
제7조의3제2항에따른경우 1603
23.9%
제7조의3제3항에따른경우 337
 
5.0%

Length

2024-04-06T22:28:29.408096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:28:29.516313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2796
41.7%
2009년11월법개정전자료 1966
29.3%
제7조의3제2항에따른경우 1603
23.9%
제7조의3제3항에따른경우 337
 
5.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)지정일자민원종류명
03220000132200830560004619870821<NA>1영업/정상0정상영업<NA>2014070120140925<NA><NA><NA><NA>서울특별시 강남구 삼성동 112-0 태정빌딩서울특별시 강남구 선릉로 578, 태정빌딩 (삼성동)06153위드미 선릉청운점2023-01-12 18:38:31U2022-11-30 23:04:00.0<NA>203835.590533445318.806286<NA><NA>
132200008632201270560111719861117<NA>3폐업2폐업처리20100310<NA><NA><NA><NA><NA>135894서울특별시 강남구 신사동 614번지 7호 방우상가서울특별시 강남구 압구정로 212 (신사동,방우상가)<NA>강남식품2010-03-10 10:07:42I2018-08-31 23:59:59.0<NA>202622.614428447287.24829198611172009년11월법개정전자료
23220000188332200830560018920010316201701114취소/말소/만료/정지/중지5지정취소<NA><NA><NA><NA>02 4480162<NA><NA>서울특별시 강남구 논현동 122번지 8 호 영동시장상가 12서울특별시 강남구 학동로4길 15 (논현동,영동시장상가 12)<NA>소망약국2017-01-11 10:24:42I2018-08-31 23:59:59.0<NA>202010.01034445368.131755200103162009년11월법개정전자료
33220000197332200830560000719730316202205254취소/말소/만료/정지/중지3직권취소<NA><NA><NA><NA>0200000000<NA><NA>서울특별시 강남구 세곡동 375번지 2 호서울특별시 강남구 헌릉로571길 46-2 (세곡동)<NA>상호없슴2022-05-25 20:56:46U2021-12-04 22:07:00.0<NA>208776.558177440642.926751<NA><NA>
43220000197432200830560000419741104202205254취소/말소/만료/정지/중지3직권취소<NA><NA><NA><NA>0200000000<NA><NA>서울특별시 강남구 율현동 298번지 5 호<NA><NA>상호없슴2022-05-25 20:56:13U2021-12-04 22:07:00.0<NA>209315.065688441355.561214<NA><NA>
53220000197732200830560010019770630<NA>3폐업2폐업처리20170810<NA><NA><NA><NA><NA><NA>서울특별시 강남구 도곡동 902번지 37호 902-37 1층 1호서울특별시 강남구 남부순환로365길 19, 1층 1호 (도곡동)06269현대상회2017-08-10 17:34:14I2018-08-31 23:59:59.0<NA>203391.737706442734.703242197706302009년11월법개정전자료
63220000198032200830560000119800119202205254취소/말소/만료/정지/중지3직권취소<NA><NA><NA><NA>0200000000<NA><NA>서울특별시 강남구 세곡동 171번지 19 호서울특별시 강남구 헌릉로618길 18 (세곡동)<NA>상호없슴2022-05-25 21:21:20U2021-12-04 22:07:00.0<NA>209326.757272440160.783091<NA><NA>
73220000198032200830560000519801224<NA>3폐업2폐업처리19990701<NA><NA><NA>0200000000<NA><NA>서울특별시 강남구 율현동 319번지 13 호서울특별시 강남구 밤고개로24길 78 (율현동)<NA>상호없슴2019-12-17 11:47:38U2019-12-19 02:40:00.0<NA>209161.085947440880.085003198012242009년11월법개정전자료
83220000198032200830560026119801218<NA>3폐업2폐업처리20020704<NA><NA><NA><NA><NA><NA>서울특별시 강남구 대치동 316호 은마상가지하B브럭59-2서울특별시 강남구 삼성로 212 (대치동,은마상가지하B브럭59-2)<NA>열매나라2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA>205707.0894443914.194133<NA><NA>
93220000198032200830560031319800119<NA>3폐업2폐업처리20030811<NA><NA><NA>02 4459217<NA><NA>서울특별시 강남구 세곡동 171번지 19호서울특별시 강남구 헌릉로618길 18 (세곡동)<NA>태양식품2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA>209326.757272440160.783091<NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)지정일자민원종류명
6692322000020243220249056000162024-03-08<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 대치동 938-16 삼환 SO GOOD서울특별시 강남구 도곡로 413, 1동 1층 106호 (대치동, 삼환 SO GOOD)06207이마트24 한티대로점2024-03-13 09:35:02U2023-12-02 23:06:00.0<NA>204861.17376443933.418146<NA><NA>
6693322000020243220249056000172024-03-11<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 159-8 파르나스타워서울특별시 강남구 테헤란로 521, 파르나스타워 지하1층 R32,R33호 (삼성동)06164지에스25 파르나스몰점2024-03-11 17:29:42I2023-12-02 23:03:00.0<NA>205314.159889445204.70931<NA><NA>
6694322000020243220249056000182024-03-13<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 781-0서울특별시 강남구 논현로68길 12 (역삼동)06228이마트24 역삼은성점2024-03-13 17:55:16I2023-12-02 23:06:00.0<NA>203553.117952443600.814628<NA><NA>
6695322000020243220249056000192024-03-14<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 825-0 미진프라자서울특별시 강남구 강남대로 390, 미진프라자 지하3층 (역삼동)06232지에스25S강남역3호점2024-03-14 17:14:13I2023-12-02 23:06:00.0<NA>202462.604763443960.186303<NA><NA>
6696322000020243220249056000202024-03-22<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 732-0서울특별시 강남구 역삼로33길 10, 1층 (역삼동)06225지에스25 역삼우리점2024-03-22 18:01:09I2023-12-02 22:04:00.0<NA>203624.643721443961.578466<NA><NA>
6697322000020243220249056000212024-03-25<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 대치동 948-0 오토웨이 타워서울특별시 강남구 영동대로 417, 오토웨이 타워 지하1층 (대치동)06182지에스 25 대치오토웨이점2024-03-25 18:17:13I2023-12-02 22:07:00.0<NA>205564.090602444887.741603<NA><NA>
6698322000020243220249056000222024-03-26<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 663-13서울특별시 강남구 논현로102길 54, 1층 (역삼동)06137움편주식회사2024-03-26 17:25:46I2023-12-02 22:08:00.0<NA>203422.08076444874.498704<NA><NA>
6699322000020243220249056000232024-03-26<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 도곡동 907-54서울특별시 강남구 논현로 201, 지하1층 (도곡동)06271(주)에스피씨삼립시티델리 도곡사옥점2024-03-26 18:10:43I2023-12-02 22:08:00.0<NA>203551.136336442643.02309<NA><NA>
6700322000020243220249056000242024-04-04<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 278-4 선정릉역 모아엘가 퍼스트 홈서울특별시 강남구 봉은사로 333, 지하1층 (논현동, 선정릉역 모아엘가 퍼스트 홈)06103세븐일레븐 선정릉점(셀프빨래방)2024-04-04 15:41:40I2023-12-04 00:06:00.0<NA>203737.434406445369.080148<NA><NA>
6701322000020243220249056000252024-04-04<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 청담동 40-25 도시빌딩서울특별시 강남구 선릉로 714, 도시빌딩 104,105호 (청담동)06065지에스25청담영동점2024-04-04 15:44:27I2023-12-04 00:06:00.0<NA>203553.889959446266.149102<NA><NA>