Overview

Dataset statistics

Number of variables30
Number of observations27
Missing cells300
Missing cells (%)37.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.0 KiB
Average record size in memory263.9 B

Variable types

Categorical14
Numeric3
Unsupported9
Text4

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),업소구분명,소재지,지정일자,신청일자,항목값1
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-19474/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
최종수정일자 has constant value ""Constant
데이터갱신구분 has constant value ""Constant
데이터갱신일자 has constant value ""Constant
항목값1 has constant value ""Constant
영업상태코드 is highly imbalanced (61.9%)Imbalance
영업상태명 is highly imbalanced (61.9%)Imbalance
상세영업상태코드 is highly imbalanced (61.9%)Imbalance
상세영업상태명 is highly imbalanced (61.9%)Imbalance
폐업일자 is highly imbalanced (71.3%)Imbalance
인허가취소일자 has 27 (100.0%) missing valuesMissing
휴업시작일자 has 27 (100.0%) missing valuesMissing
휴업종료일자 has 27 (100.0%) missing valuesMissing
재개업일자 has 27 (100.0%) missing valuesMissing
전화번호 has 8 (29.6%) missing valuesMissing
소재지면적 has 27 (100.0%) missing valuesMissing
도로명주소 has 27 (100.0%) missing valuesMissing
도로명우편번호 has 27 (100.0%) missing valuesMissing
업태구분명 has 27 (100.0%) missing valuesMissing
좌표정보(X) has 17 (63.0%) missing valuesMissing
좌표정보(Y) has 17 (63.0%) missing valuesMissing
소재지 has 15 (55.6%) missing valuesMissing
지정일자 has 27 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
지번주소 has unique valuesUnique
사업장명 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
도로명주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
도로명우편번호 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
지정일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 06:19:33.679849
Analysis finished2024-05-11 06:19:34.221649
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
3220000
27 

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 27
100.0%

Length

2024-05-11T15:19:34.340529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:19:34.519219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 27
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2200001 × 1017
Minimum3.2200001 × 1017
Maximum3.2200001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-05-11T15:19:34.708841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.2200001 × 1017
5-th percentile3.2200001 × 1017
Q13.2200001 × 1017
median3.2200001 × 1017
Q33.2200001 × 1017
95-th percentile3.2200001 × 1017
Maximum3.2200001 × 1017
Range400090
Interquartile range (IQR)400064

Descriptive statistics

Standard deviation202580.29
Coefficient of variation (CV)6.291313 × 10-13
Kurtosis-2.1062714
Mean3.2200001 × 1017
Median Absolute Deviation (MAD)0
Skewness-0.23618486
Sum8.6940004 × 1018
Variance4.1038773 × 1010
MonotonicityStrictly increasing
2024-05-11T15:19:34.947307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
322000014199700001 1
 
3.7%
322000014199700002 1
 
3.7%
322000014200100091 1
 
3.7%
322000014200100090 1
 
3.7%
322000014200100089 1
 
3.7%
322000014200100088 1
 
3.7%
322000014200100087 1
 
3.7%
322000014200100086 1
 
3.7%
322000014200100085 1
 
3.7%
322000014200100084 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
322000014199700001 1
3.7%
322000014199700002 1
3.7%
322000014199700003 1
3.7%
322000014199700004 1
3.7%
322000014199700005 1
3.7%
322000014199700006 1
3.7%
322000014199700007 1
3.7%
322000014199700008 1
3.7%
322000014199700009 1
3.7%
322000014199700010 1
3.7%
ValueCountFrequency (%)
322000014200100091 1
3.7%
322000014200100090 1
3.7%
322000014200100089 1
3.7%
322000014200100088 1
3.7%
322000014200100087 1
3.7%
322000014200100086 1
3.7%
322000014200100085 1
3.7%
322000014200100084 1
3.7%
322000014200100083 1
3.7%
322000014200100082 1
3.7%

인허가일자
Categorical

Distinct4
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size348.0 B
19971002
14 
19970930
11 
20011010
 
1
20010131
 
1

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique2 ?
Unique (%)7.4%

Sample

1st row19970930
2nd row19970930
3rd row19970930
4th row19970930
5th row19970930

Common Values

ValueCountFrequency (%)
19971002 14
51.9%
19970930 11
40.7%
20011010 1
 
3.7%
20010131 1
 
3.7%

Length

2024-05-11T15:19:35.163986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:19:35.352962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19971002 14
51.9%
19970930 11
40.7%
20011010 1
 
3.7%
20010131 1
 
3.7%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
1
25 
3
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 25
92.6%
3 2
 
7.4%

Length

2024-05-11T15:19:35.525135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:19:35.697397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 25
92.6%
3 2
 
7.4%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
영업/정상
25 
폐업
 
2

Length

Max length5
Median length5
Mean length4.7777778
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 25
92.6%
폐업 2
 
7.4%

Length

2024-05-11T15:19:35.907856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:19:36.108048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 25
92.6%
폐업 2
 
7.4%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
11
25 
2
 
2

Length

Max length2
Median length2
Mean length1.9259259
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11
2nd row11
3rd row11
4th row11
5th row11

Common Values

ValueCountFrequency (%)
11 25
92.6%
2 2
 
7.4%

Length

2024-05-11T15:19:36.311356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:19:36.500740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 25
92.6%
2 2
 
7.4%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
영업
25 
폐업
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 25
92.6%
폐업 2
 
7.4%

Length

2024-05-11T15:19:36.650889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:19:36.793777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 25
92.6%
폐업 2
 
7.4%

폐업일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
25 
19990423
 
1
19971005
 
1

Length

Max length8
Median length4
Mean length4.2962963
Min length4

Unique

Unique2 ?
Unique (%)7.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
92.6%
19990423 1
 
3.7%
19971005 1
 
3.7%

Length

2024-05-11T15:19:36.969085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:19:37.148076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
92.6%
19990423 1
 
3.7%
19971005 1
 
3.7%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

전화번호
Text

MISSING 

Distinct19
Distinct (%)100.0%
Missing8
Missing (%)29.6%
Memory size348.0 B
2024-05-11T15:19:37.314192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7
Mean length7.9473684
Min length7

Characters and Unicode

Total characters151
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

Unique19 ?
Unique (%)100.0%

Sample

1st row02 4457244
2nd row02 4456979
3rd row02 4458123
4th row02 4510202
5th row02 4510102
ValueCountFrequency (%)
02 6
24.0%
4457244 1
 
4.0%
5736527 1
 
4.0%
5744307 1
 
4.0%
5748077 1
 
4.0%
5736353 1
 
4.0%
5750938 1
 
4.0%
5745066 1
 
4.0%
5711514 1
 
4.0%
5769169 1
 
4.0%
Other values (10) 10
40.0%
2024-05-11T15:19:37.751233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 27
17.9%
4 20
13.2%
7 19
12.6%
0 18
11.9%
2 15
9.9%
1 13
8.6%
3 12
7.9%
6 8
 
5.3%
9 7
 
4.6%
6
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 145
96.0%
Space Separator 6
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 27
18.6%
4 20
13.8%
7 19
13.1%
0 18
12.4%
2 15
10.3%
1 13
9.0%
3 12
8.3%
6 8
 
5.5%
9 7
 
4.8%
8 6
 
4.1%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 151
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 27
17.9%
4 20
13.2%
7 19
12.6%
0 18
11.9%
2 15
9.9%
1 13
8.6%
3 12
7.9%
6 8
 
5.3%
9 7
 
4.6%
6
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 151
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 27
17.9%
4 20
13.2%
7 19
12.6%
0 18
11.9%
2 15
9.9%
1 13
8.6%
3 12
7.9%
6 8
 
5.3%
9 7
 
4.6%
6
 
4.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

소재지우편번호
Categorical

Distinct5
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Memory size348.0 B
135241
14 
135190
5 
135200
4 
135210
3 
135232
 
1

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique1 ?
Unique (%)3.7%

Sample

1st row135190
2nd row135190
3rd row135190
4th row135190
5th row135190

Common Values

ValueCountFrequency (%)
135241 14
51.9%
135190 5
 
18.5%
135200 4
 
14.8%
135210 3
 
11.1%
135232 1
 
3.7%

Length

2024-05-11T15:19:37.990675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:19:38.184782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
135241 14
51.9%
135190 5
 
18.5%
135200 4
 
14.8%
135210 3
 
11.1%
135232 1
 
3.7%

지번주소
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-05-11T15:19:38.521715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length28
Mean length24.333333
Min length20

Characters and Unicode

Total characters657
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row서울특별시 강남구 세곡동 375-2 번지
2nd row서울특별시 강남구 세곡동 124-2번지
3rd row서울특별시 강남구 세곡동 124-2 번지
4th row서울특별시 강남구 세곡동 171-11번지
5th row서울특별시 강남구 세곡동 103-3 번지
ValueCountFrequency (%)
서울특별시 27
20.9%
강남구 27
20.9%
개포동 15
11.6%
번지 14
10.9%
세곡동 5
 
3.9%
자곡동 4
 
3.1%
율현동 3
 
2.3%
660-4 2
 
1.6%
141번지 2
 
1.6%
종합상가 1
 
0.8%
Other values (29) 29
22.5%
2024-05-11T15:19:39.202317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
154
23.4%
서 27
 
4.1%
울 27
 
4.1%
특 27
 
4.1%
별 27
 
4.1%
시 27
 
4.1%
강 27
 
4.1%
남 27
 
4.1%
구 27
 
4.1%
1 27
 
4.1%
Other values (30) 260
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 370
56.3%
Space Separator 154
23.4%
Decimal Number 113
 
17.2%
Dash Punctuation 20
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 27
 
7.3%
울 27
 
7.3%
특 27
 
7.3%
별 27
 
7.3%
시 27
 
7.3%
강 27
 
7.3%
남 27
 
7.3%
구 27
 
7.3%
동 27
 
7.3%
지 26
 
7.0%
Other values (18) 101
27.3%
Decimal Number
ValueCountFrequency (%)
1 27
23.9%
6 19
16.8%
2 16
14.2%
4 14
12.4%
0 10
 
8.8%
3 9
 
8.0%
5 6
 
5.3%
7 6
 
5.3%
9 4
 
3.5%
8 2
 
1.8%
Space Separator
ValueCountFrequency (%)
154
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 370
56.3%
Common 287
43.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 27
 
7.3%
울 27
 
7.3%
특 27
 
7.3%
별 27
 
7.3%
시 27
 
7.3%
강 27
 
7.3%
남 27
 
7.3%
구 27
 
7.3%
동 27
 
7.3%
지 26
 
7.0%
Other values (18) 101
27.3%
Common
ValueCountFrequency (%)
154
53.7%
1 27
 
9.4%
- 20
 
7.0%
6 19
 
6.6%
2 16
 
5.6%
4 14
 
4.9%
0 10
 
3.5%
3 9
 
3.1%
5 6
 
2.1%
7 6
 
2.1%
Other values (2) 6
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 370
56.3%
ASCII 287
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
154
53.7%
1 27
 
9.4%
- 20
 
7.0%
6 19
 
6.6%
2 16
 
5.6%
4 14
 
4.9%
0 10
 
3.5%
3 9
 
3.1%
5 6
 
2.1%
7 6
 
2.1%
Other values (2) 6
 
2.1%
Hangul
ValueCountFrequency (%)
서 27
 
7.3%
울 27
 
7.3%
특 27
 
7.3%
별 27
 
7.3%
시 27
 
7.3%
강 27
 
7.3%
남 27
 
7.3%
구 27
 
7.3%
동 27
 
7.3%
지 26
 
7.0%
Other values (18) 101
27.3%

도로명주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

도로명우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

사업장명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-05-11T15:19:39.503853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length4
Mean length4.9259259
Min length4

Characters and Unicode

Total characters133
Distinct characters76
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row까치상회
2nd row광장공판장
3rd row정호식품
4th row대성슈퍼
5th row송파농협세곡지소
ValueCountFrequency (%)
까치상회 1
 
3.3%
광장공판장 1
 
3.3%
현대1차슈퍼 1
 
3.3%
한아름공판장 1
 
3.3%
충무슈퍼 1
 
3.3%
충남식품 1
 
3.3%
여주쌀집 1
 
3.3%
인수슈퍼 1
 
3.3%
백동슈퍼 1
 
3.3%
청솔마트 1
 
3.3%
Other values (20) 20
66.7%
2024-05-11T15:19:40.084000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
퍼 11
 
8.3%
슈 11
 
8.3%
상 5
 
3.8%
회 5
 
3.8%
남 4
 
3.0%
포 3
 
2.3%
경 3
 
2.3%
장 3
 
2.3%
개 3
 
2.3%
3
 
2.3%
Other values (66) 82
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 125
94.0%
Space Separator 3
 
2.3%
Decimal Number 3
 
2.3%
Uppercase Letter 2
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
퍼 11
 
8.8%
슈 11
 
8.8%
상 5
 
4.0%
회 5
 
4.0%
남 4
 
3.2%
포 3
 
2.4%
경 3
 
2.4%
장 3
 
2.4%
개 3
 
2.4%
식 3
 
2.4%
Other values (60) 74
59.2%
Decimal Number
ValueCountFrequency (%)
1 1
33.3%
2 1
33.3%
5 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
G 1
50.0%
L 1
50.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 125
94.0%
Common 6
 
4.5%
Latin 2
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
퍼 11
 
8.8%
슈 11
 
8.8%
상 5
 
4.0%
회 5
 
4.0%
남 4
 
3.2%
포 3
 
2.4%
경 3
 
2.4%
장 3
 
2.4%
개 3
 
2.4%
식 3
 
2.4%
Other values (60) 74
59.2%
Common
ValueCountFrequency (%)
3
50.0%
1 1
 
16.7%
2 1
 
16.7%
5 1
 
16.7%
Latin
ValueCountFrequency (%)
G 1
50.0%
L 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 125
94.0%
ASCII 8
 
6.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
퍼 11
 
8.8%
슈 11
 
8.8%
상 5
 
4.0%
회 5
 
4.0%
남 4
 
3.2%
포 3
 
2.4%
경 3
 
2.4%
장 3
 
2.4%
개 3
 
2.4%
식 3
 
2.4%
Other values (60) 74
59.2%
ASCII
ValueCountFrequency (%)
3
37.5%
1 1
 
12.5%
G 1
 
12.5%
L 1
 
12.5%
2 1
 
12.5%
5 1
 
12.5%

최종수정일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
2007-07-14 11:05:35
27 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2007-07-14 11:05:35
2nd row2007-07-14 11:05:35
3rd row2007-07-14 11:05:35
4th row2007-07-14 11:05:35
5th row2007-07-14 11:05:35

Common Values

ValueCountFrequency (%)
2007-07-14 11:05:35 27
100.0%

Length

2024-05-11T15:19:40.313771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:19:40.507917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2007-07-14 27
50.0%
11:05:35 27
50.0%

데이터갱신구분
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
I
27 

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 27
100.0%

Length

2024-05-11T15:19:40.694681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:19:40.844005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 27
100.0%

데이터갱신일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
2018-08-31 23:59:59.0
27 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 27
100.0%

Length

2024-05-11T15:19:41.020752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:19:41.167332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 27
50.0%
23:59:59.0 27
50.0%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)90.0%
Missing17
Missing (%)63.0%
Infinite0
Infinite (%)0.0%
Mean206680.2
Minimum204721.62
Maximum209423.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-05-11T15:19:41.327751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum204721.62
5-th percentile204731.7
Q1204943.45
median205373.37
Q3208903.95
95-th percentile209399.97
Maximum209423.65
Range4702.0291
Interquartile range (IQR)3960.4989

Descriptive statistics

Standard deviation2140.5043
Coefficient of variation (CV)0.010356601
Kurtosis-2.1753728
Mean206680.2
Median Absolute Deviation (MAD)640.5471
Skewness0.46796327
Sum2066802
Variance4581758.9
MonotonicityNot monotonic
2024-05-11T15:19:41.520143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
205373.371090044 2
 
7.4%
209423.649311203 1
 
3.7%
209371.036034514 1
 
3.7%
208912.924448629 1
 
3.7%
208877.010707599 1
 
3.7%
204721.620225941 1
 
3.7%
205120.591615233 1
 
3.7%
204884.398884375 1
 
3.7%
204744.027761002 1
 
3.7%
(Missing) 17
63.0%
ValueCountFrequency (%)
204721.620225941 1
3.7%
204744.027761002 1
3.7%
204884.398884375 1
3.7%
205120.591615233 1
3.7%
205373.371090044 2
7.4%
208877.010707599 1
3.7%
208912.924448629 1
3.7%
209371.036034514 1
3.7%
209423.649311203 1
3.7%
ValueCountFrequency (%)
209423.649311203 1
3.7%
209371.036034514 1
3.7%
208912.924448629 1
3.7%
208877.010707599 1
3.7%
205373.371090044 2
7.4%
205120.591615233 1
3.7%
204884.398884375 1
3.7%
204744.027761002 1
3.7%
204721.620225941 1
3.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)90.0%
Missing17
Missing (%)63.0%
Infinite0
Infinite (%)0.0%
Mean441725.64
Minimum440182.9
Maximum442481.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-05-11T15:19:41.728308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440182.9
5-th percentile440194.45
Q1441746.47
median441990.36
Q3442249.06
95-th percentile442454.5
Maximum442481.52
Range2298.6198
Interquartile range (IQR)502.58619

Descriptive statistics

Standard deviation846.21402
Coefficient of variation (CV)0.0019157005
Kurtosis0.63653199
Mean441725.64
Median Absolute Deviation (MAD)276.46543
Skewness-1.3878317
Sum4417256.4
Variance716078.17
MonotonicityNot monotonic
2024-05-11T15:19:41.936009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
441814.602870723 2
 
7.4%
440208.558412381 1
 
3.7%
440182.898235134 1
 
3.7%
442166.126712998 1
 
3.7%
442166.155025329 1
 
3.7%
442481.518031817 1
 
3.7%
441723.765125391 1
 
3.7%
442421.474882984 1
 
3.7%
442276.695989589 1
 
3.7%
(Missing) 17
63.0%
ValueCountFrequency (%)
440182.898235134 1
3.7%
440208.558412381 1
3.7%
441723.765125391 1
3.7%
441814.602870723 2
7.4%
442166.126712998 1
3.7%
442166.155025329 1
3.7%
442276.695989589 1
3.7%
442421.474882984 1
3.7%
442481.518031817 1
3.7%
ValueCountFrequency (%)
442481.518031817 1
3.7%
442421.474882984 1
3.7%
442276.695989589 1
3.7%
442166.155025329 1
3.7%
442166.126712998 1
3.7%
441814.602870723 2
7.4%
441723.765125391 1
3.7%
440208.558412381 1
3.7%
440182.898235134 1
3.7%

업소구분명
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
15 
지정
12 

Length

Max length4
Median length4
Mean length3.1111111
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 15
55.6%
지정 12
44.4%

Length

2024-05-11T15:19:42.177429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:19:42.397404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
55.6%
지정 12
44.4%

소재지
Text

MISSING 

Distinct11
Distinct (%)91.7%
Missing15
Missing (%)55.6%
Memory size348.0 B
2024-05-11T15:19:42.666478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length9.3333333
Min length9

Characters and Unicode

Total characters112
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)83.3%

Sample

1st row세곡동 375-2
2nd row세곡동 124-2
3rd row세곡동 124-2
4th row세곡동 164-10
5th row세곡동 103-3
ValueCountFrequency (%)
세곡동 5
20.8%
자곡동 4
16.7%
율현동 3
12.5%
124-2 2
 
8.3%
375-2 1
 
4.2%
164-10 1
 
4.2%
103-3 1
 
4.2%
298-10 1
 
4.2%
194-5 1
 
4.2%
447-11 1
 
4.2%
Other values (4) 4
16.7%
2024-05-11T15:19:43.181444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 12
10.7%
12
10.7%
2 12
10.7%
- 12
10.7%
1 11
9.8%
곡 9
 
8.0%
4 8
 
7.1%
세 5
 
4.5%
0 4
 
3.6%
자 4
 
3.6%
Other values (8) 23
20.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 52
46.4%
Other Letter 36
32.1%
Space Separator 12
 
10.7%
Dash Punctuation 12
 
10.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 12
23.1%
1 11
21.2%
4 8
15.4%
0 4
 
7.7%
3 4
 
7.7%
5 3
 
5.8%
6 3
 
5.8%
7 3
 
5.8%
9 2
 
3.8%
8 2
 
3.8%
Other Letter
ValueCountFrequency (%)
동 12
33.3%
곡 9
25.0%
세 5
13.9%
자 4
 
11.1%
율 3
 
8.3%
현 3
 
8.3%
Space Separator
ValueCountFrequency (%)
12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 76
67.9%
Hangul 36
32.1%

Most frequent character per script

Common
ValueCountFrequency (%)
12
15.8%
2 12
15.8%
- 12
15.8%
1 11
14.5%
4 8
10.5%
0 4
 
5.3%
3 4
 
5.3%
5 3
 
3.9%
6 3
 
3.9%
7 3
 
3.9%
Other values (2) 4
 
5.3%
Hangul
ValueCountFrequency (%)
동 12
33.3%
곡 9
25.0%
세 5
13.9%
자 4
 
11.1%
율 3
 
8.3%
현 3
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 76
67.9%
Hangul 36
32.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 12
33.3%
곡 9
25.0%
세 5
13.9%
자 4
 
11.1%
율 3
 
8.3%
현 3
 
8.3%
ASCII
ValueCountFrequency (%)
12
15.8%
2 12
15.8%
- 12
15.8%
1 11
14.5%
4 8
10.5%
0 4
 
5.3%
3 4
 
5.3%
5 3
 
3.9%
6 3
 
3.9%
7 3
 
3.9%
Other values (2) 4
 
5.3%

지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

신청일자
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
15 
19970930
11 
20011010
 
1

Length

Max length8
Median length4
Mean length5.7777778
Min length4

Unique

Unique1 ?
Unique (%)3.7%

Sample

1st row19970930
2nd row19970930
3rd row19970930
4th row19970930
5th row19970930

Common Values

ValueCountFrequency (%)
<NA> 15
55.6%
19970930 11
40.7%
20011010 1
 
3.7%

Length

2024-05-11T15:19:43.453362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:19:43.707662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
55.6%
19970930 11
40.7%
20011010 1
 
3.7%

항목값1
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
관급봉투
27 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관급봉투 27
100.0%

Length

2024-05-11T15:19:43.904588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:19:44.093046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관급봉투 27
100.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업소구분명소재지지정일자신청일자항목값1
0322000032200001419970000119970930<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>135190서울특별시 강남구 세곡동 375-2 번지<NA><NA>까치상회2007-07-14 11:05:35I2018-08-31 23:59:59.0<NA><NA><NA>지정세곡동 375-2<NA>19970930관급봉투
1322000032200001419970000219970930<NA>1영업/정상11영업<NA><NA><NA><NA>02 4457244<NA>135190서울특별시 강남구 세곡동 124-2번지<NA><NA>광장공판장2007-07-14 11:05:35I2018-08-31 23:59:59.0<NA>209423.649311440208.558412지정세곡동 124-2<NA>19970930관급봉투
2322000032200001419970000319970930<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>135190서울특별시 강남구 세곡동 124-2 번지<NA><NA>정호식품2007-07-14 11:05:35I2018-08-31 23:59:59.0<NA><NA><NA>지정세곡동 124-2<NA>19970930관급봉투
3322000032200001419970000419970930<NA>1영업/정상11영업<NA><NA><NA><NA>02 4456979<NA>135190서울특별시 강남구 세곡동 171-11번지<NA><NA>대성슈퍼2007-07-14 11:05:35I2018-08-31 23:59:59.0<NA>209371.036035440182.898235지정세곡동 164-10<NA>19970930관급봉투
4322000032200001419970000519970930<NA>1영업/정상11영업<NA><NA><NA><NA>02 4458123<NA>135190서울특별시 강남구 세곡동 103-3 번지<NA><NA>송파농협세곡지소2007-07-14 11:05:35I2018-08-31 23:59:59.0<NA><NA><NA>지정세곡동 103-3<NA>19970930관급봉투
5322000032200001419970000619970930<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>135210서울특별시 강남구 율현동 298-10 번지<NA><NA>보영상회2007-07-14 11:05:35I2018-08-31 23:59:59.0<NA><NA><NA>지정율현동 298-10<NA>19970930관급봉투
6322000032200001419970000719970930<NA>1영업/정상11영업<NA><NA><NA><NA>02 4510202<NA>135210서울특별시 강남구 율현동 194-5 번지<NA><NA>율현상회2007-07-14 11:05:35I2018-08-31 23:59:59.0<NA><NA><NA>지정율현동 194-5<NA>19970930관급봉투
7322000032200001419970000819970930<NA>1영업/정상11영업<NA><NA><NA><NA>02 4510102<NA>135200서울특별시 강남구 자곡동 447-11 번지<NA><NA>자곡슈퍼2007-07-14 11:05:35I2018-08-31 23:59:59.0<NA><NA><NA>지정자곡동 447-11<NA>19970930관급봉투
8322000032200001419970000919970930<NA>3폐업2폐업19990423<NA><NA><NA>02 4510140<NA>135200서울특별시 강남구 자곡동 446-2 번지<NA><NA>못골쌀상회2007-07-14 11:05:35I2018-08-31 23:59:59.0<NA><NA><NA>지정자곡동 446-2<NA>19970930관급봉투
9322000032200001419970001019970930<NA>3폐업2폐업19971005<NA><NA><NA><NA><NA>135200서울특별시 강남구 자곡동 237-5번지<NA><NA>제일상회2007-07-14 11:05:35I2018-08-31 23:59:59.0<NA>208912.924449442166.126713지정자곡동 237-5<NA>19970930관급봉투
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업소구분명소재지지정일자신청일자항목값1
17322000032200001420010008219971002<NA>1영업/정상11영업<NA><NA><NA><NA>5714083<NA>135241서울특별시 강남구 개포동 660-17번지<NA><NA>내고향슈퍼2007-07-14 11:05:35I2018-08-31 23:59:59.0<NA>205120.591615441723.765125<NA><NA><NA><NA>관급봉투
18322000032200001420010008319971002<NA>1영업/정상11영업<NA><NA><NA><NA>5769169<NA>135241서울특별시 강남구 개포동 652번지 우성3차상가<NA><NA>청솔마트2007-07-14 11:05:35I2018-08-31 23:59:59.0<NA>204884.398884442421.474883<NA><NA><NA><NA>관급봉투
19322000032200001420010008419971002<NA>1영업/정상11영업<NA><NA><NA><NA>5711514<NA>135241서울특별시 강남구 개포동 660-2 번지<NA><NA>백동슈퍼2007-07-14 11:05:35I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>관급봉투
20322000032200001420010008519971002<NA>1영업/정상11영업<NA><NA><NA><NA>5745066<NA>135241서울특별시 강남구 개포동 651-1 번지<NA><NA>인수슈퍼2007-07-14 11:05:35I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>관급봉투
21322000032200001420010008619971002<NA>1영업/정상11영업<NA><NA><NA><NA>5750938<NA>135241서울특별시 강남구 개포동 660-3 번지<NA><NA>여주쌀집2007-07-14 11:05:35I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>관급봉투
22322000032200001420010008719971002<NA>1영업/정상11영업<NA><NA><NA><NA>5736353<NA>135241서울특별시 강남구 개포동 660-4 번지 종합상가 137호<NA><NA>충남식품2007-07-14 11:05:35I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>관급봉투
23322000032200001420010008819971002<NA>1영업/정상11영업<NA><NA><NA><NA>5748077<NA>135241서울특별시 강남구 개포동 가상가 114호<NA><NA>충무슈퍼2007-07-14 11:05:35I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>관급봉투
24322000032200001420010008919971002<NA>1영업/정상11영업<NA><NA><NA><NA>5744307<NA>135241서울특별시 강남구 개포동 141번지<NA><NA>한아름공판장2007-07-14 11:05:35I2018-08-31 23:59:59.0<NA>205373.37109441814.602871<NA><NA><NA><NA>관급봉투
25322000032200001420010009019971002<NA>1영업/정상11영업<NA><NA><NA><NA>5736527<NA>135241서울특별시 강남구 개포동 653번지<NA><NA>현대1차슈퍼2007-07-14 11:05:35I2018-08-31 23:59:59.0<NA>204744.027761442276.69599<NA><NA><NA><NA>관급봉투
26322000032200001420010009119971002<NA>1영업/정상11영업<NA><NA><NA><NA>5725428<NA>135241서울특별시 강남구 개포동 660-4 번지<NA><NA>해태유통2007-07-14 11:05:35I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>관급봉투