Overview

Dataset statistics

Number of variables27
Number of observations4425
Missing cells37429
Missing cells (%)31.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory976.7 KiB
Average record size in memory226.0 B

Variable types

Categorical7
Numeric4
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
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-19917/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 4041 (91.3%) missing valuesMissing
폐업일자 has 1288 (29.1%) missing valuesMissing
휴업시작일자 has 4234 (95.7%) missing valuesMissing
휴업종료일자 has 4234 (95.7%) missing valuesMissing
재개업일자 has 4425 (100.0%) missing valuesMissing
전화번호 has 2240 (50.6%) missing valuesMissing
소재지면적 has 4425 (100.0%) missing valuesMissing
소재지우편번호 has 2840 (64.2%) missing valuesMissing
도로명주소 has 310 (7.0%) missing valuesMissing
도로명우편번호 has 2730 (61.7%) missing valuesMissing
업태구분명 has 4425 (100.0%) missing valuesMissing
좌표정보(X) has 298 (6.7%) missing valuesMissing
좌표정보(Y) has 298 (6.7%) missing valuesMissing
지정일자 has 1641 (37.1%) missing valuesMissing
관리번호 is highly skewed (γ1 = -36.74621398)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

Reproduction

Analysis started2024-04-06 12:17:25.870206
Analysis finished2024-04-06 12:17:28.583259
Duration2.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.7 KiB
3150000
4425 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3150000
2nd row3150000
3rd row3150000
4th row3150000
5th row3150000

Common Values

ValueCountFrequency (%)
3150000 4425
100.0%

Length

2024-04-06T21:17:28.700083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:17:28.889048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 4425
100.0%

관리번호
Real number (ℝ)

SKEWED  UNIQUE 

Distinct4425
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0066373 × 1018
Minimum3.1501231 × 1014
Maximum2.024315 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size39.0 KiB
2024-04-06T21:17:29.126386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.1501231 × 1014
5-th percentile1.992315 × 1018
Q12.002315 × 1018
median2.008315 × 1018
Q32.015315 × 1018
95-th percentile2.021315 × 1018
Maximum2.024315 × 1018
Range2.024 × 1018
Interquartile range (IQR)1.3000009 × 1016

Descriptive statistics

Standard deviation5.3009827 × 1016
Coefficient of variation (CV)0.026417244
Kurtosis1388.5393
Mean2.0066373 × 1018
Median Absolute Deviation (MAD)6.0000045 × 1015
Skewness-36.746214
Sum6.4860301 × 1018
Variance2.8100418 × 1033
MonotonicityStrictly increasing
2024-04-06T21:17:29.445255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
315012305614940 1
 
< 0.1%
2012315014505600038 1
 
< 0.1%
2012315014505600044 1
 
< 0.1%
2012315014505600043 1
 
< 0.1%
2012315014505600042 1
 
< 0.1%
2012315014505600041 1
 
< 0.1%
2012315014505600040 1
 
< 0.1%
2012315014505600039 1
 
< 0.1%
2012315014505600037 1
 
< 0.1%
2012315014505600029 1
 
< 0.1%
Other values (4415) 4415
99.8%
ValueCountFrequency (%)
315012305614940 1
< 0.1%
1315012305614856 1
< 0.1%
1315012305614999 1
< 0.1%
1973315012305614915 1
< 0.1%
1973315012305614921 1
< 0.1%
1974315007405601370 1
< 0.1%
1974315007405604005 1
< 0.1%
1974315007405613079 1
< 0.1%
1974315010005614142 1
< 0.1%
1974315012305614110 1
< 0.1%
ValueCountFrequency (%)
2024315020005600022 1
< 0.1%
2024315020005600021 1
< 0.1%
2024315020005600020 1
< 0.1%
2024315020005600019 1
< 0.1%
2024315020005600018 1
< 0.1%
2024315020005600017 1
< 0.1%
2024315020005600016 1
< 0.1%
2024315020005600015 1
< 0.1%
2024315020005600014 1
< 0.1%
2024315020005600013 1
< 0.1%
Distinct2841
Distinct (%)64.2%
Missing0
Missing (%)0.0%
Memory size34.7 KiB
2024-04-06T21:17:30.093778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.1328814
Min length8

Characters and Unicode

Total characters35988
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

Unique1848 ?
Unique (%)41.8%

Sample

1st row20001018
2nd row20000103
3rd row20010102
4th row19731213
5th row19730908
ValueCountFrequency (%)
19981207 12
 
0.3%
20031103 11
 
0.2%
19981211 11
 
0.2%
20150430 10
 
0.2%
19740701 10
 
0.2%
20060802 8
 
0.2%
20070227 7
 
0.2%
20020409 7
 
0.2%
19981229 7
 
0.2%
19801223 7
 
0.2%
Other values (2831) 4335
98.0%
2024-04-06T21:17:30.917250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11288
31.4%
2 7280
20.2%
1 6619
18.4%
9 2417
 
6.7%
3 1526
 
4.2%
8 1504
 
4.2%
7 1315
 
3.7%
6 1194
 
3.3%
4 1170
 
3.3%
5 1087
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 35400
98.4%
Dash Punctuation 588
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11288
31.9%
2 7280
20.6%
1 6619
18.7%
9 2417
 
6.8%
3 1526
 
4.3%
8 1504
 
4.2%
7 1315
 
3.7%
6 1194
 
3.4%
4 1170
 
3.3%
5 1087
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 588
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 35988
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11288
31.4%
2 7280
20.2%
1 6619
18.4%
9 2417
 
6.7%
3 1526
 
4.2%
8 1504
 
4.2%
7 1315
 
3.7%
6 1194
 
3.3%
4 1170
 
3.3%
5 1087
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 35988
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11288
31.4%
2 7280
20.2%
1 6619
18.4%
9 2417
 
6.7%
3 1526
 
4.2%
8 1504
 
4.2%
7 1315
 
3.7%
6 1194
 
3.3%
4 1170
 
3.3%
5 1087
 
3.0%

인허가취소일자
Date

MISSING 

Distinct172
Distinct (%)44.8%
Missing4041
Missing (%)91.3%
Memory size34.7 KiB
Minimum2001-02-28 00:00:00
Maximum2024-02-29 00:00:00
2024-04-06T21:17:31.206006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:17:31.675926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.7 KiB
3
3137 
1
892 
4
392 
2
 
4

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 3137
70.9%
1 892
 
20.2%
4 392
 
8.9%
2 4
 
0.1%

Length

2024-04-06T21:17:31.962610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:17:32.156716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 3137
70.9%
1 892
 
20.2%
4 392
 
8.9%
2 4
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.7 KiB
폐업
3137 
영업/정상
892 
취소/말소/만료/정지/중지
392 
휴업
 
4

Length

Max length14
Median length2
Mean length3.6677966
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 3137
70.9%
영업/정상 892
 
20.2%
취소/말소/만료/정지/중지 392
 
8.9%
휴업 4
 
0.1%

Length

2024-04-06T21:17:32.428791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:17:32.673384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 3137
70.9%
영업/정상 892
 
20.2%
취소/말소/만료/정지/중지 392
 
8.9%
휴업 4
 
0.1%
Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.7 KiB
2
3137 
0
892 
3
 
198
5
 
194
1
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 3137
70.9%
0 892
 
20.2%
3 198
 
4.5%
5 194
 
4.4%
1 4
 
0.1%

Length

2024-04-06T21:17:32.918188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:17:33.154227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 3137
70.9%
0 892
 
20.2%
3 198
 
4.5%
5 194
 
4.4%
1 4
 
0.1%
Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.7 KiB
폐업처리
3137 
정상영업
892 
직권취소
 
198
지정취소
 
194
휴업처리
 
4

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 3137
70.9%
정상영업 892
 
20.2%
직권취소 198
 
4.5%
지정취소 194
 
4.4%
휴업처리 4
 
0.1%

Length

2024-04-06T21:17:33.354299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:17:33.561239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 3137
70.9%
정상영업 892
 
20.2%
직권취소 198
 
4.5%
지정취소 194
 
4.4%
휴업처리 4
 
0.1%

폐업일자
Date

MISSING 

Distinct2143
Distinct (%)68.3%
Missing1288
Missing (%)29.1%
Memory size34.7 KiB
Minimum2001-01-03 00:00:00
Maximum2024-03-28 00:00:00
2024-04-06T21:17:33.840440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:17:34.219692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct157
Distinct (%)82.2%
Missing4234
Missing (%)95.7%
Memory size34.7 KiB
Minimum2001-05-01 00:00:00
Maximum2024-01-22 00:00:00
2024-04-06T21:17:34.573389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:17:34.854616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업종료일자
Date

MISSING 

Distinct165
Distinct (%)86.4%
Missing4234
Missing (%)95.7%
Memory size34.7 KiB
Minimum2001-08-30 00:00:00
Maximum2024-07-01 00:00:00
2024-04-06T21:17:35.145114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:17:35.439684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4425
Missing (%)100.0%
Memory size39.0 KiB

전화번호
Text

MISSING 

Distinct1877
Distinct (%)85.9%
Missing2240
Missing (%)50.6%
Memory size34.7 KiB
2024-04-06T21:17:35.966974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length10.153318
Min length1

Characters and Unicode

Total characters22185
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

Unique1643 ?
Unique (%)75.2%

Sample

1st row2605-8468
2nd row2692-1764
3rd row2602-9050
4th row2602-6130
5th row2603-0897
ValueCountFrequency (%)
02 244
 
9.6%
02-535-6103 11
 
0.4%
1577-0711 10
 
0.4%
3661 9
 
0.4%
3662 6
 
0.2%
2699 5
 
0.2%
2658 5
 
0.2%
2662 5
 
0.2%
2661 5
 
0.2%
3663 5
 
0.2%
Other values (1920) 2244
88.0%
2024-04-06T21:17:36.779382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 4357
19.6%
6 4020
18.1%
0 3296
14.9%
3 1521
 
6.9%
5 1374
 
6.2%
1 1295
 
5.8%
9 1291
 
5.8%
4 1242
 
5.6%
- 1109
 
5.0%
7 1073
 
4.8%
Other values (4) 1607
 
7.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20514
92.5%
Dash Punctuation 1109
 
5.0%
Space Separator 560
 
2.5%
Close Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 4357
21.2%
6 4020
19.6%
0 3296
16.1%
3 1521
 
7.4%
5 1374
 
6.7%
1 1295
 
6.3%
9 1291
 
6.3%
4 1242
 
6.1%
7 1073
 
5.2%
8 1045
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 1109
100.0%
Space Separator
ValueCountFrequency (%)
560
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
* 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22185
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 4357
19.6%
6 4020
18.1%
0 3296
14.9%
3 1521
 
6.9%
5 1374
 
6.2%
1 1295
 
5.8%
9 1291
 
5.8%
4 1242
 
5.6%
- 1109
 
5.0%
7 1073
 
4.8%
Other values (4) 1607
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22185
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 4357
19.6%
6 4020
18.1%
0 3296
14.9%
3 1521
 
6.9%
5 1374
 
6.2%
1 1295
 
5.8%
9 1291
 
5.8%
4 1242
 
5.6%
- 1109
 
5.0%
7 1073
 
4.8%
Other values (4) 1607
 
7.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4425
Missing (%)100.0%
Memory size39.0 KiB

소재지우편번호
Text

MISSING 

Distinct200
Distinct (%)12.6%
Missing2840
Missing (%)64.2%
Memory size34.7 KiB
2024-04-06T21:17:37.354934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0264984
Min length6

Characters and Unicode

Total characters9552
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

Unique70 ?
Unique (%)4.4%

Sample

1st row157016
2nd row157015
3rd row157019
4th row157019
5th row157019
ValueCountFrequency (%)
157010 69
 
4.4%
157011 53
 
3.3%
157240 53
 
3.3%
157221 49
 
3.1%
157040 40
 
2.5%
157033 39
 
2.5%
157210 36
 
2.3%
157013 36
 
2.3%
157016 34
 
2.1%
157281 34
 
2.1%
Other values (190) 1142
72.1%
2024-04-06T21:17:38.202158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2384
25.0%
7 1773
18.6%
5 1750
18.3%
0 1078
11.3%
8 676
 
7.1%
2 641
 
6.7%
3 388
 
4.1%
9 386
 
4.0%
4 263
 
2.8%
6 165
 
1.7%
Other values (2) 48
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9504
99.5%
Dash Punctuation 42
 
0.4%
Space Separator 6
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2384
25.1%
7 1773
18.7%
5 1750
18.4%
0 1078
11.3%
8 676
 
7.1%
2 641
 
6.7%
3 388
 
4.1%
9 386
 
4.1%
4 263
 
2.8%
6 165
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9552
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2384
25.0%
7 1773
18.6%
5 1750
18.3%
0 1078
11.3%
8 676
 
7.1%
2 641
 
6.7%
3 388
 
4.1%
9 386
 
4.0%
4 263
 
2.8%
6 165
 
1.7%
Other values (2) 48
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9552
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2384
25.0%
7 1773
18.6%
5 1750
18.3%
0 1078
11.3%
8 676
 
7.1%
2 641
 
6.7%
3 388
 
4.1%
9 386
 
4.0%
4 263
 
2.8%
6 165
 
1.7%
Other values (2) 48
 
0.5%
Distinct3573
Distinct (%)80.7%
Missing0
Missing (%)0.0%
Memory size34.7 KiB
2024-04-06T21:17:39.125113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length50
Mean length26.55096
Min length13

Characters and Unicode

Total characters117488
Distinct characters414
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2946 ?
Unique (%)66.6%

Sample

1st row서울특별시 강서구 화곡동 976번지 1호
2nd row서울특별시 강서구 화곡동 1027번지 25호
3rd row서울특별시 강서구 화곡동 24번지 36호
4th row서울특별시 강서구 화곡동 24번지 282호
5th row서울특별시 강서구 화곡동 102번지 214호
ValueCountFrequency (%)
강서구 4426
 
18.3%
서울특별시 4425
 
18.3%
화곡동 1382
 
5.7%
방화동 510
 
2.1%
등촌동 461
 
1.9%
1층 422
 
1.7%
1호 405
 
1.7%
공항동 299
 
1.2%
내발산동 299
 
1.2%
마곡동 293
 
1.2%
Other values (2657) 11210
46.5%
2024-04-06T21:17:40.171700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23155
19.7%
8935
 
7.6%
1 5355
 
4.6%
4655
 
4.0%
4515
 
3.8%
4481
 
3.8%
4468
 
3.8%
4450
 
3.8%
4425
 
3.8%
4425
 
3.8%
Other values (404) 48624
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70240
59.8%
Space Separator 23155
 
19.7%
Decimal Number 23076
 
19.6%
Dash Punctuation 387
 
0.3%
Uppercase Letter 246
 
0.2%
Other Punctuation 145
 
0.1%
Close Punctuation 98
 
0.1%
Open Punctuation 98
 
0.1%
Lowercase Letter 20
 
< 0.1%
Math Symbol 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8935
12.7%
4655
 
6.6%
4515
 
6.4%
4481
 
6.4%
4468
 
6.4%
4450
 
6.3%
4425
 
6.3%
4425
 
6.3%
4336
 
6.2%
4105
 
5.8%
Other values (354) 21445
30.5%
Uppercase Letter
ValueCountFrequency (%)
A 56
22.8%
B 52
21.1%
P 36
14.6%
T 33
13.4%
K 9
 
3.7%
I 7
 
2.8%
S 7
 
2.8%
C 6
 
2.4%
M 6
 
2.4%
W 6
 
2.4%
Other values (11) 28
11.4%
Decimal Number
ValueCountFrequency (%)
1 5355
23.2%
2 2392
10.4%
0 2168
9.4%
6 2143
9.3%
3 2021
 
8.8%
7 1993
 
8.6%
4 1950
 
8.5%
5 1843
 
8.0%
8 1696
 
7.3%
9 1515
 
6.6%
Other Punctuation
ValueCountFrequency (%)
, 118
81.4%
@ 21
 
14.5%
. 4
 
2.8%
& 1
 
0.7%
/ 1
 
0.7%
Lowercase Letter
ValueCountFrequency (%)
k 6
30.0%
e 5
25.0%
r 3
15.0%
a 3
15.0%
y 3
15.0%
Letter Number
ValueCountFrequency (%)
7
70.0%
1
 
10.0%
1
 
10.0%
1
 
10.0%
Space Separator
ValueCountFrequency (%)
23155
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 387
100.0%
Close Punctuation
ValueCountFrequency (%)
) 98
100.0%
Open Punctuation
ValueCountFrequency (%)
( 98
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70239
59.8%
Common 46972
40.0%
Latin 276
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8935
12.7%
4655
 
6.6%
4515
 
6.4%
4481
 
6.4%
4468
 
6.4%
4450
 
6.3%
4425
 
6.3%
4425
 
6.3%
4336
 
6.2%
4105
 
5.8%
Other values (353) 21444
30.5%
Latin
ValueCountFrequency (%)
A 56
20.3%
B 52
18.8%
P 36
13.0%
T 33
12.0%
K 9
 
3.3%
7
 
2.5%
I 7
 
2.5%
S 7
 
2.5%
C 6
 
2.2%
M 6
 
2.2%
Other values (20) 57
20.7%
Common
ValueCountFrequency (%)
23155
49.3%
1 5355
 
11.4%
2 2392
 
5.1%
0 2168
 
4.6%
6 2143
 
4.6%
3 2021
 
4.3%
7 1993
 
4.2%
4 1950
 
4.2%
5 1843
 
3.9%
8 1696
 
3.6%
Other values (10) 2256
 
4.8%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70239
59.8%
ASCII 47238
40.2%
Number Forms 10
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23155
49.0%
1 5355
 
11.3%
2 2392
 
5.1%
0 2168
 
4.6%
6 2143
 
4.5%
3 2021
 
4.3%
7 1993
 
4.2%
4 1950
 
4.1%
5 1843
 
3.9%
8 1696
 
3.6%
Other values (36) 2522
 
5.3%
Hangul
ValueCountFrequency (%)
8935
12.7%
4655
 
6.6%
4515
 
6.4%
4481
 
6.4%
4468
 
6.4%
4450
 
6.3%
4425
 
6.3%
4425
 
6.3%
4336
 
6.2%
4105
 
5.8%
Other values (353) 21444
30.5%
Number Forms
ValueCountFrequency (%)
7
70.0%
1
 
10.0%
1
 
10.0%
1
 
10.0%
CJK
ValueCountFrequency (%)
1
100.0%

도로명주소
Text

MISSING 

Distinct3026
Distinct (%)73.5%
Missing310
Missing (%)7.0%
Memory size34.7 KiB
2024-04-06T21:17:40.772038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length58
Mean length30.544836
Min length21

Characters and Unicode

Total characters125692
Distinct characters415
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2355 ?
Unique (%)57.2%

Sample

1st row서울특별시 강서구 까치산로 119 (화곡동)
2nd row서울특별시 강서구 화곡로31다길 14 (화곡동)
3rd row서울특별시 강서구 화곡로44길 12 (화곡동)
4th row서울특별시 강서구 초록마을로 27-1 (화곡동)
5th row서울특별시 강서구 까치산로4다길 4 (화곡동)
ValueCountFrequency (%)
서울특별시 4115
 
17.3%
강서구 4115
 
17.3%
화곡동 1474
 
6.2%
1층 689
 
2.9%
방화동 461
 
1.9%
등촌동 393
 
1.7%
마곡동 276
 
1.2%
양천로 262
 
1.1%
강서로 260
 
1.1%
내발산동 235
 
1.0%
Other values (2364) 11538
48.4%
2024-04-06T21:17:41.702801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19706
 
15.7%
9135
 
7.3%
1 5685
 
4.5%
4984
 
4.0%
4647
 
3.7%
) 4202
 
3.3%
( 4202
 
3.3%
4180
 
3.3%
4173
 
3.3%
4141
 
3.3%
Other values (405) 60637
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 74440
59.2%
Space Separator 19706
 
15.7%
Decimal Number 19620
 
15.6%
Close Punctuation 4202
 
3.3%
Open Punctuation 4202
 
3.3%
Other Punctuation 2832
 
2.3%
Dash Punctuation 379
 
0.3%
Uppercase Letter 251
 
0.2%
Math Symbol 26
 
< 0.1%
Lowercase Letter 20
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9135
 
12.3%
4984
 
6.7%
4647
 
6.2%
4180
 
5.6%
4173
 
5.6%
4141
 
5.6%
4135
 
5.6%
4115
 
5.5%
4115
 
5.5%
3306
 
4.4%
Other values (356) 27509
37.0%
Uppercase Letter
ValueCountFrequency (%)
B 74
29.5%
A 50
19.9%
P 26
 
10.4%
T 23
 
9.2%
K 9
 
3.6%
E 8
 
3.2%
S 7
 
2.8%
I 7
 
2.8%
M 7
 
2.8%
C 6
 
2.4%
Other values (11) 34
13.5%
Decimal Number
ValueCountFrequency (%)
1 5685
29.0%
2 2043
 
10.4%
0 1940
 
9.9%
3 1932
 
9.8%
4 1843
 
9.4%
5 1666
 
8.5%
7 1316
 
6.7%
6 1309
 
6.7%
8 1023
 
5.2%
9 863
 
4.4%
Lowercase Letter
ValueCountFrequency (%)
k 6
30.0%
e 5
25.0%
y 3
15.0%
a 3
15.0%
r 3
15.0%
Other Punctuation
ValueCountFrequency (%)
, 2806
99.1%
@ 19
 
0.7%
. 6
 
0.2%
& 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
8
57.1%
4
28.6%
1
 
7.1%
1
 
7.1%
Space Separator
ValueCountFrequency (%)
19706
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4202
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4202
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 379
100.0%
Math Symbol
ValueCountFrequency (%)
~ 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 74439
59.2%
Common 50967
40.5%
Latin 285
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9135
 
12.3%
4984
 
6.7%
4647
 
6.2%
4180
 
5.6%
4173
 
5.6%
4141
 
5.6%
4135
 
5.6%
4115
 
5.5%
4115
 
5.5%
3306
 
4.4%
Other values (355) 27508
37.0%
Latin
ValueCountFrequency (%)
B 74
26.0%
A 50
17.5%
P 26
 
9.1%
T 23
 
8.1%
K 9
 
3.2%
E 8
 
2.8%
8
 
2.8%
S 7
 
2.5%
I 7
 
2.5%
M 7
 
2.5%
Other values (20) 66
23.2%
Common
ValueCountFrequency (%)
19706
38.7%
1 5685
 
11.2%
) 4202
 
8.2%
( 4202
 
8.2%
, 2806
 
5.5%
2 2043
 
4.0%
0 1940
 
3.8%
3 1932
 
3.8%
4 1843
 
3.6%
5 1666
 
3.3%
Other values (9) 4942
 
9.7%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 74439
59.2%
ASCII 51238
40.8%
Number Forms 14
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19706
38.5%
1 5685
 
11.1%
) 4202
 
8.2%
( 4202
 
8.2%
, 2806
 
5.5%
2 2043
 
4.0%
0 1940
 
3.8%
3 1932
 
3.8%
4 1843
 
3.6%
5 1666
 
3.3%
Other values (35) 5213
 
10.2%
Hangul
ValueCountFrequency (%)
9135
 
12.3%
4984
 
6.7%
4647
 
6.2%
4180
 
5.6%
4173
 
5.6%
4141
 
5.6%
4135
 
5.6%
4115
 
5.5%
4115
 
5.5%
3306
 
4.4%
Other values (355) 27508
37.0%
Number Forms
ValueCountFrequency (%)
8
57.1%
4
28.6%
1
 
7.1%
1
 
7.1%
CJK
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Text

MISSING 

Distinct401
Distinct (%)23.7%
Missing2730
Missing (%)61.7%
Memory size34.7 KiB
2024-04-06T21:17:42.356292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3846608
Min length5

Characters and Unicode

Total characters9127
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

Unique118 ?
Unique (%)7.0%

Sample

1st row07679
2nd row07706
3rd row07516
4th row157840
5th row07740
ValueCountFrequency (%)
157210 31
 
1.8%
157930 30
 
1.8%
07788 30
 
1.8%
07803 30
 
1.8%
07505 25
 
1.5%
07599 20
 
1.2%
157010 18
 
1.1%
07802 18
 
1.1%
157910 17
 
1.0%
157897 16
 
0.9%
Other values (391) 1460
86.1%
2024-04-06T21:17:43.494956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 2356
25.8%
0 1653
18.1%
5 1280
14.0%
1 1068
11.7%
8 757
 
8.3%
6 538
 
5.9%
9 464
 
5.1%
2 387
 
4.2%
3 340
 
3.7%
4 258
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9101
99.7%
Dash Punctuation 26
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 2356
25.9%
0 1653
18.2%
5 1280
14.1%
1 1068
11.7%
8 757
 
8.3%
6 538
 
5.9%
9 464
 
5.1%
2 387
 
4.3%
3 340
 
3.7%
4 258
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9127
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 2356
25.8%
0 1653
18.1%
5 1280
14.0%
1 1068
11.7%
8 757
 
8.3%
6 538
 
5.9%
9 464
 
5.1%
2 387
 
4.2%
3 340
 
3.7%
4 258
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9127
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 2356
25.8%
0 1653
18.1%
5 1280
14.0%
1 1068
11.7%
8 757
 
8.3%
6 538
 
5.9%
9 464
 
5.1%
2 387
 
4.2%
3 340
 
3.7%
4 258
 
2.8%
Distinct3228
Distinct (%)72.9%
Missing0
Missing (%)0.0%
Memory size34.7 KiB
2024-04-06T21:17:44.150165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length7.2289266
Min length1

Characters and Unicode

Total characters31988
Distinct characters652
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2583 ?
Unique (%)58.4%

Sample

1st row빵집이야기
2nd row행운슈퍼
3rd row미원
4th row화곡문구
5th row수도슈퍼
ValueCountFrequency (%)
gs25 262
 
4.3%
씨유 261
 
4.3%
세븐일레븐 124
 
2.0%
지에스25 118
 
1.9%
훼미리마트 71
 
1.2%
주)코리아세븐 68
 
1.1%
이마트24 67
 
1.1%
미니스톱 59
 
1.0%
cu 57
 
0.9%
현대마트 23
 
0.4%
Other values (3071) 4990
81.8%
2024-04-06T21:17:45.512503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1678
 
5.2%
1627
 
5.1%
1195
 
3.7%
989
 
3.1%
669
 
2.1%
667
 
2.1%
624
 
2.0%
623
 
1.9%
2 616
 
1.9%
5 528
 
1.7%
Other values (642) 22772
71.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26881
84.0%
Space Separator 1678
 
5.2%
Decimal Number 1509
 
4.7%
Uppercase Letter 1142
 
3.6%
Close Punctuation 315
 
1.0%
Open Punctuation 307
 
1.0%
Lowercase Letter 105
 
0.3%
Other Punctuation 28
 
0.1%
Other Symbol 13
 
< 0.1%
Dash Punctuation 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1627
 
6.1%
1195
 
4.4%
989
 
3.7%
669
 
2.5%
667
 
2.5%
624
 
2.3%
623
 
2.3%
510
 
1.9%
477
 
1.8%
474
 
1.8%
Other values (576) 19026
70.8%
Uppercase Letter
ValueCountFrequency (%)
S 394
34.5%
G 372
32.6%
C 73
 
6.4%
U 66
 
5.8%
L 38
 
3.3%
K 22
 
1.9%
M 21
 
1.8%
B 16
 
1.4%
T 16
 
1.4%
P 13
 
1.1%
Other values (15) 111
 
9.7%
Lowercase Letter
ValueCountFrequency (%)
e 23
21.9%
s 8
 
7.6%
r 8
 
7.6%
y 7
 
6.7%
m 7
 
6.7%
a 7
 
6.7%
n 7
 
6.7%
i 6
 
5.7%
o 6
 
5.7%
t 5
 
4.8%
Other values (10) 21
20.0%
Decimal Number
ValueCountFrequency (%)
2 616
40.8%
5 528
35.0%
4 102
 
6.8%
1 83
 
5.5%
9 66
 
4.4%
3 35
 
2.3%
0 33
 
2.2%
6 18
 
1.2%
7 16
 
1.1%
8 12
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 17
60.7%
& 4
 
14.3%
! 3
 
10.7%
, 2
 
7.1%
? 1
 
3.6%
/ 1
 
3.6%
Space Separator
ValueCountFrequency (%)
1678
100.0%
Close Punctuation
ValueCountFrequency (%)
) 315
100.0%
Open Punctuation
ValueCountFrequency (%)
( 307
100.0%
Other Symbol
ValueCountFrequency (%)
13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26894
84.1%
Common 3847
 
12.0%
Latin 1247
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1627
 
6.0%
1195
 
4.4%
989
 
3.7%
669
 
2.5%
667
 
2.5%
624
 
2.3%
623
 
2.3%
510
 
1.9%
477
 
1.8%
474
 
1.8%
Other values (577) 19039
70.8%
Latin
ValueCountFrequency (%)
S 394
31.6%
G 372
29.8%
C 73
 
5.9%
U 66
 
5.3%
L 38
 
3.0%
e 23
 
1.8%
K 22
 
1.8%
M 21
 
1.7%
B 16
 
1.3%
T 16
 
1.3%
Other values (35) 206
16.5%
Common
ValueCountFrequency (%)
1678
43.6%
2 616
 
16.0%
5 528
 
13.7%
) 315
 
8.2%
( 307
 
8.0%
4 102
 
2.7%
1 83
 
2.2%
9 66
 
1.7%
3 35
 
0.9%
0 33
 
0.9%
Other values (10) 84
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26880
84.0%
ASCII 5094
 
15.9%
None 13
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1678
32.9%
2 616
 
12.1%
5 528
 
10.4%
S 394
 
7.7%
G 372
 
7.3%
) 315
 
6.2%
( 307
 
6.0%
4 102
 
2.0%
1 83
 
1.6%
C 73
 
1.4%
Other values (55) 626
 
12.3%
Hangul
ValueCountFrequency (%)
1627
 
6.1%
1195
 
4.4%
989
 
3.7%
669
 
2.5%
667
 
2.5%
624
 
2.3%
623
 
2.3%
510
 
1.9%
477
 
1.8%
474
 
1.8%
Other values (575) 19025
70.8%
None
ValueCountFrequency (%)
13
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Distinct3268
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Memory size34.7 KiB
Minimum2007-07-19 13:27:31
Maximum2024-03-28 17:38:17
2024-04-06T21:17:45.877443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:17:46.183231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.7 KiB
I
3526 
U
899 

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 3526
79.7%
U 899
 
20.3%

Length

2024-04-06T21:17:46.444600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:17:46.671533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3526
79.7%
u 899
 
20.3%
Distinct715
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Memory size34.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:09:00
2024-04-06T21:17:46.905502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:17:47.328470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4425
Missing (%)100.0%
Memory size39.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1793
Distinct (%)43.4%
Missing298
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean185736.58
Minimum181730.49
Maximum189200.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size39.0 KiB
2024-04-06T21:17:47.612080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum181730.49
5-th percentile183043.89
Q1184504
median185963.42
Q3186840.92
95-th percentile188123.97
Maximum189200.15
Range7469.6549
Interquartile range (IQR)2336.9236

Descriptive statistics

Standard deviation1616.1502
Coefficient of variation (CV)0.0087013027
Kurtosis-0.73738203
Mean185736.58
Median Absolute Deviation (MAD)971.67553
Skewness-0.30734141
Sum7.6653487 × 108
Variance2611941.5
MonotonicityNot monotonic
2024-04-06T21:17:48.143052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
185034.346957949 27
 
0.6%
182914.598086861 17
 
0.4%
182524.823835629 17
 
0.4%
186501.110937132 13
 
0.3%
182735.786874703 12
 
0.3%
188400.045243482 12
 
0.3%
186730.867120442 12
 
0.3%
183595.654551909 12
 
0.3%
182974.850127567 11
 
0.2%
183335.627064206 11
 
0.2%
Other values (1783) 3983
90.0%
(Missing) 298
 
6.7%
ValueCountFrequency (%)
181730.49281718 1
 
< 0.1%
181881.234660314 5
0.1%
182029.065433146 1
 
< 0.1%
182141.205465089 5
0.1%
182154.410343287 1
 
< 0.1%
182157.843375714 2
 
< 0.1%
182171.566341898 1
 
< 0.1%
182188.755588148 1
 
< 0.1%
182195.103498843 1
 
< 0.1%
182208.241592834 3
0.1%
ValueCountFrequency (%)
189200.147733153 1
 
< 0.1%
189172.250232972 3
0.1%
189124.441211963 1
 
< 0.1%
189105.201587182 1
 
< 0.1%
189102.277524848 1
 
< 0.1%
189098.806779959 4
0.1%
189066.642961645 2
< 0.1%
189027.554806104 2
< 0.1%
189022.284939732 1
 
< 0.1%
189007.820367105 4
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1791
Distinct (%)43.4%
Missing298
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean450000.86
Minimum447236.03
Maximum454548.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size39.0 KiB
2024-04-06T21:17:48.458231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447236.03
5-th percentile447582.3
Q1448759.32
median450080.86
Q3451137.85
95-th percentile452325.78
Maximum454548.39
Range7312.363
Interquartile range (IQR)2378.5271

Descriptive statistics

Standard deviation1524.6509
Coefficient of variation (CV)0.0033881066
Kurtosis-0.86659256
Mean450000.86
Median Absolute Deviation (MAD)1181.7938
Skewness-0.0049970625
Sum1.8571535 × 109
Variance2324560.3
MonotonicityNot monotonic
2024-04-06T21:17:48.782290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449164.972451344 27
 
0.6%
451438.25089679 17
 
0.4%
450966.559529824 17
 
0.4%
451334.591084256 13
 
0.3%
450386.61241057 12
 
0.3%
450285.070346197 12
 
0.3%
450042.22378832 12
 
0.3%
451591.610813727 12
 
0.3%
450419.684560487 11
 
0.2%
451044.288913202 11
 
0.2%
Other values (1781) 3983
90.0%
(Missing) 298
 
6.7%
ValueCountFrequency (%)
447236.025595809 1
 
< 0.1%
447239.554007375 1
 
< 0.1%
447286.792100232 1
 
< 0.1%
447296.737977381 5
0.1%
447297.791614934 1
 
< 0.1%
447323.008024977 1
 
< 0.1%
447324.010715124 3
0.1%
447326.548615694 2
 
< 0.1%
447328.651932744 1
 
< 0.1%
447329.136662979 1
 
< 0.1%
ValueCountFrequency (%)
454548.388580897 2
 
< 0.1%
454088.21214105 1
 
< 0.1%
454073.220579182 5
0.1%
453939.900025772 1
 
< 0.1%
453880.999167712 2
 
< 0.1%
453875.913157959 6
0.1%
453626.099540967 3
0.1%
453520.889900319 2
 
< 0.1%
453516.268894533 1
 
< 0.1%
453474.883305111 1
 
< 0.1%

지정일자
Real number (ℝ)

MISSING 

Distinct1960
Distinct (%)70.4%
Missing1641
Missing (%)37.1%
Infinite0
Infinite (%)0.0%
Mean20090296
Minimum19730908
Maximum20220323
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size39.0 KiB
2024-04-06T21:17:49.121572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19730908
5-th percentile19920836
Q120051114
median20100608
Q320150519
95-th percentile20191022
Maximum20220323
Range489415
Interquartile range (IQR)99405.25

Descriptive statistics

Standard deviation84074.26
Coefficient of variation (CV)0.0041848193
Kurtosis2.5801846
Mean20090296
Median Absolute Deviation (MAD)49778
Skewness-1.3566772
Sum5.5931385 × 1010
Variance7.0684811 × 109
MonotonicityNot monotonic
2024-04-06T21:17:49.414904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150430 10
 
0.2%
20070227 7
 
0.2%
19740701 7
 
0.2%
20060802 7
 
0.2%
20090806 6
 
0.1%
20100608 6
 
0.1%
20070706 5
 
0.1%
20070703 5
 
0.1%
20080717 5
 
0.1%
20110520 5
 
0.1%
Other values (1950) 2721
61.5%
(Missing) 1641
37.1%
ValueCountFrequency (%)
19730908 1
 
< 0.1%
19731213 1
 
< 0.1%
19740701 7
0.2%
19741021 1
 
< 0.1%
19741206 1
 
< 0.1%
19750224 1
 
< 0.1%
19750808 1
 
< 0.1%
19760423 1
 
< 0.1%
19780610 1
 
< 0.1%
19780726 1
 
< 0.1%
ValueCountFrequency (%)
20220323 1
< 0.1%
20220318 1
< 0.1%
20220310 1
< 0.1%
20220302 1
< 0.1%
20220221 1
< 0.1%
20220214 1
< 0.1%
20220211 1
< 0.1%
20220210 1
< 0.1%
20220208 1
< 0.1%
20220204 1
< 0.1%

민원종류명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.7 KiB
<NA>
1641 
제7조의3제2항에따른경우
1419 
2009년11월법개정전자료
1197 
제7조의3제3항에따른경우
168 

Length

Max length14
Median length13
Mean length9.9328814
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2009년11월법개정전자료
2nd row2009년11월법개정전자료
3rd row2009년11월법개정전자료
4th row2009년11월법개정전자료
5th row2009년11월법개정전자료

Common Values

ValueCountFrequency (%)
<NA> 1641
37.1%
제7조의3제2항에따른경우 1419
32.1%
2009년11월법개정전자료 1197
27.1%
제7조의3제3항에따른경우 168
 
3.8%

Length

2024-04-06T21:17:49.646623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:17:49.856202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1641
37.1%
제7조의3제2항에따른경우 1419
32.1%
2009년11월법개정전자료 1197
27.1%
제7조의3제3항에따른경우 168
 
3.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)지정일자민원종류명
0315000031501230561494020001018<NA>3폐업2폐업처리20110509<NA><NA><NA>2605-8468<NA>157016서울특별시 강서구 화곡동 976번지 1호서울특별시 강서구 까치산로 119 (화곡동)<NA>빵집이야기2011-05-09 14:00:24I2018-08-31 23:59:59.0<NA>186676.378727449604.879383200010182009년11월법개정전자료
13150000131501230561485620000103<NA>3폐업2폐업처리20160706<NA><NA><NA>2692-1764<NA>157015서울특별시 강서구 화곡동 1027번지 25호서울특별시 강서구 화곡로31다길 14 (화곡동)<NA>행운슈퍼2016-07-06 13:15:48I2018-08-31 23:59:59.0<NA>185654.270213449202.926902200001032009년11월법개정전자료
23150000131501230561499920010102<NA>3폐업2폐업처리20150109<NA><NA><NA>2602-9050<NA>157019서울특별시 강서구 화곡동 24번지 36호서울특별시 강서구 화곡로44길 12 (화곡동)<NA>미원2015-01-09 10:39:09I2018-08-31 23:59:59.0<NA>186427.018692449526.758758200101022009년11월법개정전자료
33150000197331501230561491519731213<NA>3폐업2폐업처리20100520<NA><NA><NA>2602-6130<NA>157019서울특별시 강서구 화곡동 24번지 282호서울특별시 강서구 초록마을로 27-1 (화곡동)<NA>화곡문구2010-05-20 11:02:57I2018-08-31 23:59:59.0<NA>186399.796845449035.802249197312132009년11월법개정전자료
43150000197331501230561492119730908<NA>3폐업2폐업처리20100308<NA><NA><NA>2603-0897<NA>157019서울특별시 강서구 화곡동 102번지 214호서울특별시 강서구 까치산로4다길 4 (화곡동)<NA>수도슈퍼2010-03-08 14:25:21I2018-08-31 23:59:59.0<NA>186331.025387448665.871232197309082009년11월법개정전자료
53150000197431500740560137019740701<NA>3폐업2폐업처리20021202<NA><NA><NA>02 6646793<NA><NA>서울특별시 강서구 방화동 483번지 5호서울특별시 강서구 금낭화로 91-2 (방화동)<NA>미나식품2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA>183242.500497452392.862591<NA><NA>
63150000197431500740560400519741028200206084취소/말소/만료/정지/중지3직권취소<NA><NA><NA><NA>0226022726<NA><NA>서울특별시 강서구 화곡동 421번지 1호서울특별시 강서구 강서로17길 85 (화곡동)<NA>수석비디오2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA>185877.664686447797.270501<NA><NA>
73150000197431500740561307919740701<NA>3폐업2폐업처리20021226<NA><NA><NA>0226651018<NA><NA>서울특별시 강서구 방화동 609번지 65 호서울특별시 강서구 방화대로21길 95 (방화동)<NA>에덴부동산2013-01-17 15:55:56I2018-08-31 23:59:59.0<NA>183276.131146451348.299185197407012009년11월법개정전자료
83150000197431501000561414219740701<NA>3폐업2폐업처리20050915<NA><NA><NA>0226631518<NA><NA>서울특별시 강서구 방화동 606번지 19호서울특별시 강서구 금낭화로1길 33 (방화동)<NA>유신철물2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA>183164.611446451524.344968<NA><NA>
93150000197431501230561411019741021<NA>1영업/정상0정상영업<NA><NA><NA><NA>2662-0366<NA>157240서울특별시 강서구 공항동 45번지 49호서울특별시 강서구 공항대로3길 17 (공항동)<NA>학생사2009-01-12 10:02:42I2018-08-31 23:59:59.0<NA>183154.904591451140.858634197410212009년11월법개정전자료
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)지정일자민원종류명
4415315000020243150200056000132024-02-27<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 등촌동 679서울특별시 강서구 강서로56가길 69, 1층 (등촌동)07583씨유호서아이엔점2024-02-27 09:05:48I2023-12-01 22:09:00.0<NA>185829.917131451162.713625<NA><NA>
4416315000020243150200056000142024-03-07<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 872-24서울특별시 강서구 곰달래로31길 16, 1층 (화곡동)07750지에스25 곰달래로2024-03-07 09:12:14I2023-12-03 00:09:00.0<NA>186805.804788447718.495194<NA><NA>
4417315000020243150200056000152024-03-08<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 366-98서울특별시 강서구 가로공원로84길 82, 상가1층 (화곡동)07767씨유 화곡양서점2024-03-08 12:19:13I2023-12-02 23:00:00.0<NA>185958.892847447999.004893<NA><NA>
4418315000020243150200056000162024-03-08<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 914-36서울특별시 강서구 강서로7길 59, 1층 (화곡동)07777(주)코리아세븐 화곡원룸점2024-03-08 13:18:25I2023-12-02 23:00:00.0<NA><NA><NA><NA><NA>
4419315000020243150200056000172024-03-08<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 797-22 용경빌딩서울특별시 강서구 곰달래로 259, 용경빌딩 1층 (화곡동)07741씨유곰달래본점2024-03-08 14:25:05I2023-12-02 23:00:00.0<NA>187712.598836447791.897411<NA><NA>
4420315000020243150200056000182024-03-14<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 391-20서울특별시 강서구 곰달래로25길 8 (화곡동)07759지에스(GS)25 화곡세화2024-03-14 15:19:35I2023-12-02 23:06:00.0<NA>186602.497934447670.261137<NA><NA>
4421315000020243150200056000192024-03-15<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 820-11서울특별시 강서구 곰달래로53길 96, 1층 (화곡동)07739지에스25 강서위너스점2024-03-26 09:47:28U2023-12-02 22:08:00.0<NA>187299.181603448148.739253<NA><NA>
4422315000020243150200056000202024-03-19<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 795-16서울특별시 강서구 등촌로3길 50, 1층 (화곡동)07785씨유강서아람점2024-03-19 17:46:15I2023-12-02 22:01:00.0<NA>187640.861609447680.583139<NA><NA>
4423315000020243150200056000212024-03-20<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 방화동 908 힐스테이트 신방화역서울특별시 강서구 초원로16길 3-11, 1층 205호 (방화동, 힐스테이트 신방화역)07617오케이베이프 강서점2024-03-20 21:35:15I2023-12-02 22:02:00.0<NA>183659.823264451676.508401<NA><NA>
4424315000020243150200056000222024-03-20<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 공항동 72-9 본방빌딩서울특별시 강서구 공항대로2길 18, 본방빌딩 1층 (공항동)07622지에스(GS)25공항센트레빌점2024-03-20 21:49:49I2023-12-02 22:02:00.0<NA>183013.939536450945.903287<NA><NA>