Overview

Dataset statistics

Number of variables44
Number of observations136
Missing cells1195
Missing cells (%)20.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory50.1 KiB
Average record size in memory377.0 B

Variable types

Categorical22
Text7
DateTime3
Unsupported7
Numeric4
Boolean1

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),위생업태명,남성종사자수,여성종사자수,영업장주변구분명,등급구분명,급수시설구분명,총인원,본사종업원수,공장사무직종업원수,공장판매직종업원수,공장생산직종업원수,건물소유구분명,보증액,월세액,다중이용업소여부,시설총규모,전통업소지정번호,전통업소주된음식,홈페이지
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-18325/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (57.6%)Imbalance
여성종사자수 is highly imbalanced (56.4%)Imbalance
영업장주변구분명 is highly imbalanced (55.4%)Imbalance
등급구분명 is highly imbalanced (60.6%)Imbalance
총인원 is highly imbalanced (84.7%)Imbalance
보증액 is highly imbalanced (77.6%)Imbalance
월세액 is highly imbalanced (77.6%)Imbalance
인허가취소일자 has 136 (100.0%) missing valuesMissing
폐업일자 has 62 (45.6%) missing valuesMissing
휴업시작일자 has 136 (100.0%) missing valuesMissing
휴업종료일자 has 136 (100.0%) missing valuesMissing
재개업일자 has 136 (100.0%) missing valuesMissing
전화번호 has 42 (30.9%) missing valuesMissing
도로명주소 has 40 (29.4%) missing valuesMissing
도로명우편번호 has 41 (30.1%) missing valuesMissing
좌표정보(X) has 7 (5.1%) missing valuesMissing
좌표정보(Y) has 7 (5.1%) missing valuesMissing
다중이용업소여부 has 41 (30.1%) missing valuesMissing
전통업소지정번호 has 136 (100.0%) missing valuesMissing
전통업소주된음식 has 136 (100.0%) missing valuesMissing
홈페이지 has 136 (100.0%) missing valuesMissing
관리번호 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
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 06:15:38.632572
Analysis finished2024-05-11 06:15:39.844345
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3230000
136 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 136
100.0%

Length

2024-05-11T15:15:39.966791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:40.159454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 136
100.0%

관리번호
Text

UNIQUE 

Distinct136
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T15:15:40.467567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters2992
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

Unique136 ?
Unique (%)100.0%

Sample

1st row3230000-114-1986-00774
2nd row3230000-114-1990-02111
3rd row3230000-114-1991-00770
4th row3230000-114-1992-00769
5th row3230000-114-1995-00771
ValueCountFrequency (%)
3230000-114-1986-00774 1
 
0.7%
3230000-114-1990-02111 1
 
0.7%
3230000-114-2015-00002 1
 
0.7%
3230000-114-2015-00001 1
 
0.7%
3230000-114-2014-00001 1
 
0.7%
3230000-114-2013-00004 1
 
0.7%
3230000-114-2013-00003 1
 
0.7%
3230000-114-2013-00002 1
 
0.7%
3230000-114-2013-00001 1
 
0.7%
3230000-114-1996-00744 1
 
0.7%
Other values (126) 126
92.6%
2024-05-11T15:15:41.050012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1171
39.1%
- 408
 
13.6%
1 405
 
13.5%
3 300
 
10.0%
2 295
 
9.9%
4 171
 
5.7%
9 94
 
3.1%
7 55
 
1.8%
6 34
 
1.1%
8 32
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2584
86.4%
Dash Punctuation 408
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1171
45.3%
1 405
 
15.7%
3 300
 
11.6%
2 295
 
11.4%
4 171
 
6.6%
9 94
 
3.6%
7 55
 
2.1%
6 34
 
1.3%
8 32
 
1.2%
5 27
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 408
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2992
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1171
39.1%
- 408
 
13.6%
1 405
 
13.5%
3 300
 
10.0%
2 295
 
9.9%
4 171
 
5.7%
9 94
 
3.1%
7 55
 
1.8%
6 34
 
1.1%
8 32
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2992
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1171
39.1%
- 408
 
13.6%
1 405
 
13.5%
3 300
 
10.0%
2 295
 
9.9%
4 171
 
5.7%
9 94
 
3.1%
7 55
 
1.8%
6 34
 
1.1%
8 32
 
1.1%
Distinct130
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum1986-08-16 00:00:00
Maximum2023-03-21 00:00:00
2024-05-11T15:15:41.378827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:15:41.723286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing136
Missing (%)100.0%
Memory size1.3 KiB
Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3
74 
1
62 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 74
54.4%
1 62
45.6%

Length

2024-05-11T15:15:42.020907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:42.221094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 74
54.4%
1 62
45.6%

영업상태명
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
폐업
74 
영업/정상
62 

Length

Max length5
Median length2
Mean length3.3676471
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 74
54.4%
영업/정상 62
45.6%

Length

2024-05-11T15:15:42.463414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:42.641179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 74
54.4%
영업/정상 62
45.6%
Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2
74 
1
62 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row2
4th row2
5th row1

Common Values

ValueCountFrequency (%)
2 74
54.4%
1 62
45.6%

Length

2024-05-11T15:15:42.833158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:43.014266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 74
54.4%
1 62
45.6%
Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
폐업
74 
영업
62 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 74
54.4%
영업 62
45.6%

Length

2024-05-11T15:15:43.194612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:43.379399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 74
54.4%
영업 62
45.6%

폐업일자
Real number (ℝ)

MISSING 

Distinct73
Distinct (%)98.6%
Missing62
Missing (%)45.6%
Infinite0
Infinite (%)0.0%
Mean20114280
Minimum19940104
Maximum20230117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T15:15:43.577793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19940104
5-th percentile19997233
Q120050396
median20125480
Q320170866
95-th percentile20220984
Maximum20230117
Range290013
Interquartile range (IQR)120469.75

Descriptive statistics

Standard deviation75569.74
Coefficient of variation (CV)0.0037570193
Kurtosis-1.0151877
Mean20114280
Median Absolute Deviation (MAD)64870
Skewness-0.27721972
Sum1.4884567 × 109
Variance5.7107855 × 109
MonotonicityNot monotonic
2024-05-11T15:15:43.893277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20060306 2
 
1.5%
20100216 1
 
0.7%
20120831 1
 
0.7%
20150904 1
 
0.7%
20130724 1
 
0.7%
20130129 1
 
0.7%
20220128 1
 
0.7%
20091110 1
 
0.7%
20161117 1
 
0.7%
20200918 1
 
0.7%
Other values (63) 63
46.3%
(Missing) 62
45.6%
ValueCountFrequency (%)
19940104 1
0.7%
19971027 1
0.7%
19980812 1
0.7%
19991129 1
0.7%
20000520 1
0.7%
20010410 1
0.7%
20010413 1
0.7%
20010524 1
0.7%
20010525 1
0.7%
20020121 1
0.7%
ValueCountFrequency (%)
20230117 1
0.7%
20221201 1
0.7%
20221124 1
0.7%
20221115 1
0.7%
20220913 1
0.7%
20220128 1
0.7%
20211125 1
0.7%
20210812 1
0.7%
20210702 1
0.7%
20210125 1
0.7%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing136
Missing (%)100.0%
Memory size1.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing136
Missing (%)100.0%
Memory size1.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing136
Missing (%)100.0%
Memory size1.3 KiB

전화번호
Text

MISSING 

Distinct91
Distinct (%)96.8%
Missing42
Missing (%)30.9%
Memory size1.2 KiB
2024-05-11T15:15:44.375694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length10.978723
Min length2

Characters and Unicode

Total characters1032
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

Unique88 ?
Unique (%)93.6%

Sample

1st row02 00000
2nd row02 4116084
3rd row02 4013211
4th row02 4013211
5th row02 4071171
ValueCountFrequency (%)
02 79
37.4%
417 3
 
1.4%
418 3
 
1.4%
400 3
 
1.4%
423 3
 
1.4%
422 3
 
1.4%
0222403106 2
 
0.9%
5601 2
 
0.9%
414 2
 
0.9%
413 2
 
0.9%
Other values (102) 109
51.7%
2024-05-11T15:15:45.076469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 215
20.8%
2 176
17.1%
171
16.6%
4 108
10.5%
1 86
 
8.3%
3 76
 
7.4%
5 53
 
5.1%
8 49
 
4.7%
7 41
 
4.0%
6 37
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 861
83.4%
Space Separator 171
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 215
25.0%
2 176
20.4%
4 108
12.5%
1 86
 
10.0%
3 76
 
8.8%
5 53
 
6.2%
8 49
 
5.7%
7 41
 
4.8%
6 37
 
4.3%
9 20
 
2.3%
Space Separator
ValueCountFrequency (%)
171
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1032
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 215
20.8%
2 176
17.1%
171
16.6%
4 108
10.5%
1 86
 
8.3%
3 76
 
7.4%
5 53
 
5.1%
8 49
 
4.7%
7 41
 
4.0%
6 37
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1032
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 215
20.8%
2 176
17.1%
171
16.6%
4 108
10.5%
1 86
 
8.3%
3 76
 
7.4%
5 53
 
5.1%
8 49
 
4.7%
7 41
 
4.0%
6 37
 
3.6%
Distinct118
Distinct (%)87.4%
Missing1
Missing (%)0.7%
Memory size1.2 KiB
2024-05-11T15:15:45.617668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length5.962963
Min length3

Characters and Unicode

Total characters805
Distinct characters12
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

Unique112 ?
Unique (%)83.0%

Sample

1st row.00
2nd row1,987.39
3rd row.00
4th row.00
5th row1,934.00
ValueCountFrequency (%)
00 9
 
6.7%
350.00 3
 
2.2%
494.58 3
 
2.2%
600.00 3
 
2.2%
825.00 3
 
2.2%
539.25 2
 
1.5%
742.50 1
 
0.7%
650.00 1
 
0.7%
352.70 1
 
0.7%
524.48 1
 
0.7%
Other values (108) 108
80.0%
2024-05-11T15:15:46.491230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 181
22.5%
. 135
16.8%
3 71
 
8.8%
4 59
 
7.3%
6 58
 
7.2%
5 54
 
6.7%
8 51
 
6.3%
9 51
 
6.3%
1 48
 
6.0%
7 48
 
6.0%
Other values (2) 49
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 661
82.1%
Other Punctuation 144
 
17.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 181
27.4%
3 71
 
10.7%
4 59
 
8.9%
6 58
 
8.8%
5 54
 
8.2%
8 51
 
7.7%
9 51
 
7.7%
1 48
 
7.3%
7 48
 
7.3%
2 40
 
6.1%
Other Punctuation
ValueCountFrequency (%)
. 135
93.8%
, 9
 
6.2%

Most occurring scripts

ValueCountFrequency (%)
Common 805
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 181
22.5%
. 135
16.8%
3 71
 
8.8%
4 59
 
7.3%
6 58
 
7.2%
5 54
 
6.7%
8 51
 
6.3%
9 51
 
6.3%
1 48
 
6.0%
7 48
 
6.0%
Other values (2) 49
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 805
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 181
22.5%
. 135
16.8%
3 71
 
8.8%
4 59
 
7.3%
6 58
 
7.2%
5 54
 
6.7%
8 51
 
6.3%
9 51
 
6.3%
1 48
 
6.0%
7 48
 
6.0%
Other values (2) 49
 
6.1%
Distinct74
Distinct (%)54.8%
Missing1
Missing (%)0.7%
Memory size1.2 KiB
2024-05-11T15:15:46.929490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2148148
Min length6

Characters and Unicode

Total characters839
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

Unique44 ?
Unique (%)32.6%

Sample

1st row138160
2nd row138915
3rd row138885
4th row138915
5th row138881
ValueCountFrequency (%)
138853 6
 
4.4%
138200 6
 
4.4%
138888 5
 
3.7%
138824 5
 
3.7%
138881 5
 
3.7%
138926 4
 
3.0%
138934 4
 
3.0%
138820 4
 
3.0%
138819 4
 
3.0%
138915 3
 
2.2%
Other values (64) 89
65.9%
2024-05-11T15:15:47.651654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 256
30.5%
1 171
20.4%
3 169
20.1%
2 44
 
5.2%
0 42
 
5.0%
9 39
 
4.6%
4 30
 
3.6%
- 29
 
3.5%
5 28
 
3.3%
6 21
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 810
96.5%
Dash Punctuation 29
 
3.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 256
31.6%
1 171
21.1%
3 169
20.9%
2 44
 
5.4%
0 42
 
5.2%
9 39
 
4.8%
4 30
 
3.7%
5 28
 
3.5%
6 21
 
2.6%
7 10
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 839
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 256
30.5%
1 171
20.4%
3 169
20.1%
2 44
 
5.2%
0 42
 
5.0%
9 39
 
4.6%
4 30
 
3.6%
- 29
 
3.5%
5 28
 
3.3%
6 21
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 839
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 256
30.5%
1 171
20.4%
3 169
20.1%
2 44
 
5.2%
0 42
 
5.0%
9 39
 
4.6%
4 30
 
3.6%
- 29
 
3.5%
5 28
 
3.3%
6 21
 
2.5%
Distinct128
Distinct (%)94.8%
Missing1
Missing (%)0.7%
Memory size1.2 KiB
2024-05-11T15:15:48.177813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length34
Mean length24.651852
Min length17

Characters and Unicode

Total characters3328
Distinct characters154
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique124 ?
Unique (%)91.9%

Sample

1st row서울특별시 송파구 가락동 산 600-0
2nd row서울특별시 송파구 잠실동 40-1 롯데백화점 지하1층
3rd row서울특별시 송파구 문정동 150-0
4th row서울특별시 송파구 잠실동 40-1 롯데백화점 지하동
5th row서울특별시 송파구 가락동 600
ValueCountFrequency (%)
서울특별시 135
20.0%
송파구 135
20.0%
문정동 26
 
3.8%
잠실동 20
 
3.0%
가락동 17
 
2.5%
지상1층 16
 
2.4%
마천동 13
 
1.9%
지하1층 12
 
1.8%
방이동 11
 
1.6%
송파동 11
 
1.6%
Other values (197) 280
41.4%
2024-05-11T15:15:49.121120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
633
19.0%
1 187
 
5.6%
159
 
4.8%
150
 
4.5%
147
 
4.4%
138
 
4.1%
137
 
4.1%
137
 
4.1%
136
 
4.1%
135
 
4.1%
Other values (144) 1369
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1978
59.4%
Space Separator 633
 
19.0%
Decimal Number 572
 
17.2%
Dash Punctuation 92
 
2.8%
Uppercase Letter 13
 
0.4%
Open Punctuation 12
 
0.4%
Close Punctuation 12
 
0.4%
Other Punctuation 9
 
0.3%
Math Symbol 7
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
159
 
8.0%
150
 
7.6%
147
 
7.4%
138
 
7.0%
137
 
6.9%
137
 
6.9%
136
 
6.9%
135
 
6.8%
135
 
6.8%
52
 
2.6%
Other values (119) 652
33.0%
Decimal Number
ValueCountFrequency (%)
1 187
32.7%
0 73
 
12.8%
2 61
 
10.7%
8 52
 
9.1%
6 46
 
8.0%
7 36
 
6.3%
3 33
 
5.8%
5 31
 
5.4%
9 27
 
4.7%
4 26
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
B 4
30.8%
A 3
23.1%
N 2
15.4%
H 1
 
7.7%
K 1
 
7.7%
E 1
 
7.7%
C 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 6
66.7%
. 2
 
22.2%
/ 1
 
11.1%
Space Separator
ValueCountFrequency (%)
633
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1978
59.4%
Common 1337
40.2%
Latin 13
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
159
 
8.0%
150
 
7.6%
147
 
7.4%
138
 
7.0%
137
 
6.9%
137
 
6.9%
136
 
6.9%
135
 
6.8%
135
 
6.8%
52
 
2.6%
Other values (119) 652
33.0%
Common
ValueCountFrequency (%)
633
47.3%
1 187
 
14.0%
- 92
 
6.9%
0 73
 
5.5%
2 61
 
4.6%
8 52
 
3.9%
6 46
 
3.4%
7 36
 
2.7%
3 33
 
2.5%
5 31
 
2.3%
Other values (8) 93
 
7.0%
Latin
ValueCountFrequency (%)
B 4
30.8%
A 3
23.1%
N 2
15.4%
H 1
 
7.7%
K 1
 
7.7%
E 1
 
7.7%
C 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1978
59.4%
ASCII 1350
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
633
46.9%
1 187
 
13.9%
- 92
 
6.8%
0 73
 
5.4%
2 61
 
4.5%
8 52
 
3.9%
6 46
 
3.4%
7 36
 
2.7%
3 33
 
2.4%
5 31
 
2.3%
Other values (15) 106
 
7.9%
Hangul
ValueCountFrequency (%)
159
 
8.0%
150
 
7.6%
147
 
7.4%
138
 
7.0%
137
 
6.9%
137
 
6.9%
136
 
6.9%
135
 
6.8%
135
 
6.8%
52
 
2.6%
Other values (119) 652
33.0%

도로명주소
Text

MISSING 

Distinct96
Distinct (%)100.0%
Missing40
Missing (%)29.4%
Memory size1.2 KiB
2024-05-11T15:15:49.538584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length86
Median length49
Mean length37.3125
Min length23

Characters and Unicode

Total characters3582
Distinct characters176
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)100.0%

Sample

1st row서울특별시 송파구 올림픽로 240, 지하1층 (잠실동, 롯데백화점)
2nd row서울특별시 송파구 양재대로 932, 판매동 2층 27-1호 (가락동, 가락시장)
3rd row서울특별시 송파구 올림픽로 203, 7호동 (잠실동,종합상가)
4th row서울특별시 송파구 가락로28길 7, 1층 (송파동)
5th row서울특별시 송파구 양재대로 1222 (방이동)
ValueCountFrequency (%)
서울특별시 96
 
14.3%
송파구 96
 
14.3%
지하1층 23
 
3.4%
1층 19
 
2.8%
지상1층 17
 
2.5%
문정동 15
 
2.2%
잠실동 12
 
1.8%
가락동 12
 
1.8%
올림픽로 11
 
1.6%
양재대로 9
 
1.3%
Other values (233) 360
53.7%
2024-05-11T15:15:50.582632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
575
 
16.1%
1 203
 
5.7%
, 148
 
4.1%
128
 
3.6%
123
 
3.4%
118
 
3.3%
100
 
2.8%
99
 
2.8%
99
 
2.8%
98
 
2.7%
Other values (166) 1891
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2053
57.3%
Decimal Number 581
 
16.2%
Space Separator 575
 
16.1%
Other Punctuation 149
 
4.2%
Close Punctuation 97
 
2.7%
Open Punctuation 97
 
2.7%
Math Symbol 13
 
0.4%
Uppercase Letter 11
 
0.3%
Dash Punctuation 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
128
 
6.2%
123
 
6.0%
118
 
5.7%
100
 
4.9%
99
 
4.8%
99
 
4.8%
98
 
4.8%
96
 
4.7%
96
 
4.7%
96
 
4.7%
Other values (145) 1000
48.7%
Decimal Number
ValueCountFrequency (%)
1 203
34.9%
2 83
14.3%
3 57
 
9.8%
0 56
 
9.6%
4 38
 
6.5%
5 35
 
6.0%
7 30
 
5.2%
8 28
 
4.8%
6 26
 
4.5%
9 25
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
B 5
45.5%
A 3
27.3%
C 2
 
18.2%
E 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 148
99.3%
/ 1
 
0.7%
Space Separator
ValueCountFrequency (%)
575
100.0%
Close Punctuation
ValueCountFrequency (%)
) 97
100.0%
Open Punctuation
ValueCountFrequency (%)
( 97
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2053
57.3%
Common 1518
42.4%
Latin 11
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
128
 
6.2%
123
 
6.0%
118
 
5.7%
100
 
4.9%
99
 
4.8%
99
 
4.8%
98
 
4.8%
96
 
4.7%
96
 
4.7%
96
 
4.7%
Other values (145) 1000
48.7%
Common
ValueCountFrequency (%)
575
37.9%
1 203
 
13.4%
, 148
 
9.7%
) 97
 
6.4%
( 97
 
6.4%
2 83
 
5.5%
3 57
 
3.8%
0 56
 
3.7%
4 38
 
2.5%
5 35
 
2.3%
Other values (7) 129
 
8.5%
Latin
ValueCountFrequency (%)
B 5
45.5%
A 3
27.3%
C 2
 
18.2%
E 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2053
57.3%
ASCII 1529
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
575
37.6%
1 203
 
13.3%
, 148
 
9.7%
) 97
 
6.3%
( 97
 
6.3%
2 83
 
5.4%
3 57
 
3.7%
0 56
 
3.7%
4 38
 
2.5%
5 35
 
2.3%
Other values (11) 140
 
9.2%
Hangul
ValueCountFrequency (%)
128
 
6.2%
123
 
6.0%
118
 
5.7%
100
 
4.9%
99
 
4.8%
99
 
4.8%
98
 
4.8%
96
 
4.7%
96
 
4.7%
96
 
4.7%
Other values (145) 1000
48.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)67.4%
Missing41
Missing (%)30.1%
Infinite0
Infinite (%)0.0%
Mean5689.0105
Minimum5501
Maximum5855
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T15:15:50.905618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5501
5-th percentile5503
Q15612.5
median5698
Q35796.5
95-th percentile5849
Maximum5855
Range354
Interquartile range (IQR)184

Descriptive statistics

Standard deviation113.69233
Coefficient of variation (CV)0.019984553
Kurtosis-1.0874128
Mean5689.0105
Median Absolute Deviation (MAD)97
Skewness-0.26109675
Sum540456
Variance12925.947
MonotonicityNot monotonic
2024-05-11T15:15:51.160421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5699 5
 
3.7%
5748 3
 
2.2%
5673 3
 
2.2%
5501 3
 
2.2%
5503 3
 
2.2%
5837 2
 
1.5%
5852 2
 
1.5%
5849 2
 
1.5%
5809 2
 
1.5%
5758 2
 
1.5%
Other values (54) 68
50.0%
(Missing) 41
30.1%
ValueCountFrequency (%)
5501 3
2.2%
5502 1
 
0.7%
5503 3
2.2%
5505 2
1.5%
5507 2
1.5%
5509 1
 
0.7%
5510 2
1.5%
5528 1
 
0.7%
5551 1
 
0.7%
5554 2
1.5%
ValueCountFrequency (%)
5855 2
1.5%
5852 2
1.5%
5849 2
1.5%
5842 1
0.7%
5841 1
0.7%
5840 1
0.7%
5838 2
1.5%
5837 2
1.5%
5833 1
0.7%
5823 1
0.7%
Distinct133
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T15:15:51.524224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length15
Mean length10.330882
Min length3

Characters and Unicode

Total characters1405
Distinct characters211
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique130 ?
Unique (%)95.6%

Sample

1st row목포상회
2nd row롯데쇼핑(주)
3rd rowLG유통올림픽점
4th row롯데쇼핑(주)
5th row다농산업(주)
ValueCountFrequency (%)
송파점 8
 
3.8%
주)지에스리테일 5
 
2.4%
마트 4
 
1.9%
롯데쇼핑(주 3
 
1.4%
롯데쇼핑(주)롯데슈퍼 3
 
1.4%
방이점 3
 
1.4%
주)이마트에브리데이 3
 
1.4%
잠실점 3
 
1.4%
더프레시 2
 
1.0%
주)진로마트잠실점 2
 
1.0%
Other values (167) 173
82.8%
2024-05-11T15:15:52.165101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
82
 
5.8%
76
 
5.4%
) 73
 
5.2%
73
 
5.2%
( 71
 
5.1%
66
 
4.7%
59
 
4.2%
32
 
2.3%
31
 
2.2%
30
 
2.1%
Other values (201) 812
57.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1164
82.8%
Close Punctuation 73
 
5.2%
Space Separator 73
 
5.2%
Open Punctuation 71
 
5.1%
Uppercase Letter 17
 
1.2%
Decimal Number 5
 
0.4%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
82
 
7.0%
76
 
6.5%
66
 
5.7%
59
 
5.1%
32
 
2.7%
31
 
2.7%
30
 
2.6%
27
 
2.3%
22
 
1.9%
21
 
1.8%
Other values (188) 718
61.7%
Uppercase Letter
ValueCountFrequency (%)
G 7
41.2%
S 5
29.4%
L 2
 
11.8%
H 1
 
5.9%
C 1
 
5.9%
D 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
5 2
40.0%
2 2
40.0%
3 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 73
100.0%
Space Separator
ValueCountFrequency (%)
73
100.0%
Open Punctuation
ValueCountFrequency (%)
( 71
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1164
82.8%
Common 224
 
15.9%
Latin 17
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
82
 
7.0%
76
 
6.5%
66
 
5.7%
59
 
5.1%
32
 
2.7%
31
 
2.7%
30
 
2.6%
27
 
2.3%
22
 
1.9%
21
 
1.8%
Other values (188) 718
61.7%
Common
ValueCountFrequency (%)
) 73
32.6%
73
32.6%
( 71
31.7%
5 2
 
0.9%
2 2
 
0.9%
. 2
 
0.9%
3 1
 
0.4%
Latin
ValueCountFrequency (%)
G 7
41.2%
S 5
29.4%
L 2
 
11.8%
H 1
 
5.9%
C 1
 
5.9%
D 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1164
82.8%
ASCII 241
 
17.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
82
 
7.0%
76
 
6.5%
66
 
5.7%
59
 
5.1%
32
 
2.7%
31
 
2.7%
30
 
2.6%
27
 
2.3%
22
 
1.9%
21
 
1.8%
Other values (188) 718
61.7%
ASCII
ValueCountFrequency (%)
) 73
30.3%
73
30.3%
( 71
29.5%
G 7
 
2.9%
S 5
 
2.1%
5 2
 
0.8%
2 2
 
0.8%
. 2
 
0.8%
L 2
 
0.8%
H 1
 
0.4%
Other values (3) 3
 
1.2%
Distinct130
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum1999-11-29 00:00:00
Maximum2024-05-08 15:50:25
2024-05-11T15:15:52.443035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:15:52.732009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
I
81 
U
55 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 81
59.6%
U 55
40.4%

Length

2024-05-11T15:15:53.002324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:53.212312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 81
59.6%
u 55
40.4%
Distinct59
Distinct (%)43.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T15:15:53.451447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:15:53.705827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
기타식품판매업
136 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 136
100.0%

Length

2024-05-11T15:15:53.947372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:54.135788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 136
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct92
Distinct (%)71.3%
Missing7
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean210456.8
Minimum206397.35
Maximum213873.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T15:15:54.358741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206397.35
5-th percentile207385.66
Q1209248.2
median210656.49
Q3211453.05
95-th percentile213266.75
Maximum213873.9
Range7476.5473
Interquartile range (IQR)2204.8479

Descriptive statistics

Standard deviation1716.3205
Coefficient of variation (CV)0.0081552153
Kurtosis-0.41038871
Mean210456.8
Median Absolute Deviation (MAD)1048.9021
Skewness-0.20409503
Sum27148927
Variance2945756
MonotonicityNot monotonic
2024-05-11T15:15:54.622398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
209790.959909032 5
 
3.7%
210656.492508336 4
 
2.9%
213873.895223193 3
 
2.2%
211203.614270994 3
 
2.2%
213279.781081276 3
 
2.2%
210769.190920536 3
 
2.2%
213247.196130934 3
 
2.2%
209607.590372037 3
 
2.2%
208589.363343145 3
 
2.2%
211190.834272855 2
 
1.5%
Other values (82) 97
71.3%
(Missing) 7
 
5.1%
ValueCountFrequency (%)
206397.34797252 1
0.7%
206707.093888179 1
0.7%
206731.192156063 1
0.7%
207270.219021574 1
0.7%
207373.50021477 2
1.5%
207385.656211696 2
1.5%
207524.376834352 2
1.5%
207553.918225133 1
0.7%
207624.424720682 1
0.7%
208167.859971312 1
0.7%
ValueCountFrequency (%)
213873.895223193 3
2.2%
213364.733770795 1
 
0.7%
213279.781081276 3
2.2%
213247.196130934 3
2.2%
213008.255811513 1
 
0.7%
212800.699970729 1
 
0.7%
212769.337053978 1
 
0.7%
212768.639964757 1
 
0.7%
212757.933640607 1
 
0.7%
212730.758000632 1
 
0.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct92
Distinct (%)71.3%
Missing7
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean444348.16
Minimum441426
Maximum447916.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T15:15:54.920547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441426
5-th percentile442004.05
Q1443460.33
median444543.05
Q3445383.34
95-th percentile446493.98
Maximum447916.04
Range6490.0439
Interquartile range (IQR)1923.0044

Descriptive statistics

Standard deviation1407.9437
Coefficient of variation (CV)0.0031685598
Kurtosis-0.37303582
Mean444348.16
Median Absolute Deviation (MAD)990.38693
Skewness0.020118641
Sum57320913
Variance1982305.5
MonotonicityNot monotonic
2024-05-11T15:15:55.186357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
443481.212174317 5
 
3.7%
444673.567068173 4
 
2.9%
443725.000539999 3
 
2.2%
442928.193052622 3
 
2.2%
443674.682876425 3
 
2.2%
445359.948409671 3
 
2.2%
444020.568495222 3
 
2.2%
447120.577229325 3
 
2.2%
445455.90405262 3
 
2.2%
443144.417683801 2
 
1.5%
Other values (82) 97
71.3%
(Missing) 7
 
5.1%
ValueCountFrequency (%)
441426.0 1
0.7%
441446.0 1
0.7%
441590.062253247 1
0.7%
441725.293491662 2
1.5%
441833.16323518 1
0.7%
441971.271264751 1
0.7%
442053.227933005 2
1.5%
442116.0 1
0.7%
442179.0 1
0.7%
442328.447083979 1
0.7%
ValueCountFrequency (%)
447916.043934269 1
 
0.7%
447608.658973902 1
 
0.7%
447471.180557382 1
 
0.7%
447120.577229325 3
2.2%
446519.612162961 1
 
0.7%
446455.526715924 1
 
0.7%
446156.529775445 1
 
0.7%
446147.977949052 1
 
0.7%
446014.471916419 1
 
0.7%
446007.966801057 1
 
0.7%

위생업태명
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
기타식품판매업
95 
<NA>
41 

Length

Max length7
Median length7
Mean length6.0955882
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 95
69.9%
<NA> 41
30.1%

Length

2024-05-11T15:15:55.484983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:55.690570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 95
69.9%
na 41
30.1%

남성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
116 
0
18 
1
 
2

Length

Max length4
Median length4
Mean length3.5588235
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row<NA>
3rd row1
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 116
85.3%
0 18
 
13.2%
1 2
 
1.5%

Length

2024-05-11T15:15:55.902081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:56.125051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 116
85.3%
0 18
 
13.2%
1 2
 
1.5%

여성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
115 
0
19 
1
 
2

Length

Max length4
Median length4
Mean length3.5367647
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row1
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 115
84.6%
0 19
 
14.0%
1 2
 
1.5%

Length

2024-05-11T15:15:56.438376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:56.657938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 115
84.6%
0 19
 
14.0%
1 2
 
1.5%

영업장주변구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
110 
주택가주변
 
10
기타
 
9
아파트지역
 
6
유흥업소밀집지역
 
1

Length

Max length8
Median length4
Mean length4.0147059
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 110
80.9%
주택가주변 10
 
7.4%
기타 9
 
6.6%
아파트지역 6
 
4.4%
유흥업소밀집지역 1
 
0.7%

Length

2024-05-11T15:15:56.876476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:57.119157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 110
80.9%
주택가주변 10
 
7.4%
기타 9
 
6.6%
아파트지역 6
 
4.4%
유흥업소밀집지역 1
 
0.7%

등급구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
110 
기타
14 
우수
 
8
자율
 
2
지도
 
1

Length

Max length4
Median length4
Mean length3.6102941
Min length1

Unique

Unique2 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 110
80.9%
기타 14
 
10.3%
우수 8
 
5.9%
자율 2
 
1.5%
지도 1
 
0.7%
1
 
0.7%

Length

2024-05-11T15:15:57.388846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:57.639086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 110
80.9%
기타 14
 
10.3%
우수 8
 
5.9%
자율 2
 
1.5%
지도 1
 
0.7%
1
 
0.7%
Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
107 
상수도전용
29 

Length

Max length5
Median length4
Mean length4.2132353
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 107
78.7%
상수도전용 29
 
21.3%

Length

2024-05-11T15:15:57.992627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:58.192506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 107
78.7%
상수도전용 29
 
21.3%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
133 
0
 
3

Length

Max length4
Median length4
Mean length3.9338235
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 133
97.8%
0 3
 
2.2%

Length

2024-05-11T15:15:58.459325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:58.663483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 133
97.8%
0 3
 
2.2%
Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
114 
0
22 

Length

Max length4
Median length4
Mean length3.5147059
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 114
83.8%
0 22
 
16.2%

Length

2024-05-11T15:15:58.867250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:59.078011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 114
83.8%
0 22
 
16.2%
Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
114 
0
22 

Length

Max length4
Median length4
Mean length3.5147059
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 114
83.8%
0 22
 
16.2%

Length

2024-05-11T15:15:59.302999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:59.527815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 114
83.8%
0 22
 
16.2%
Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
114 
0
22 

Length

Max length4
Median length4
Mean length3.5147059
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 114
83.8%
0 22
 
16.2%

Length

2024-05-11T15:15:59.745186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:59.973271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 114
83.8%
0 22
 
16.2%
Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
114 
0
22 

Length

Max length4
Median length4
Mean length3.5147059
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 114
83.8%
0 22
 
16.2%

Length

2024-05-11T15:16:00.221390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:16:00.417044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 114
83.8%
0 22
 
16.2%
Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
73 
자가
32 
임대
31 

Length

Max length4
Median length4
Mean length3.0735294
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 73
53.7%
자가 32
23.5%
임대 31
22.8%

Length

2024-05-11T15:16:00.668481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:16:00.945728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 73
53.7%
자가 32
23.5%
임대 31
22.8%

보증액
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
128 
0
 
7
400000000
 
1

Length

Max length9
Median length4
Mean length3.8823529
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 128
94.1%
0 7
 
5.1%
400000000 1
 
0.7%

Length

2024-05-11T15:16:01.177223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:16:01.428355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 128
94.1%
0 7
 
5.1%
400000000 1
 
0.7%

월세액
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
128 
0
 
7
10000000
 
1

Length

Max length8
Median length4
Mean length3.875
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 128
94.1%
0 7
 
5.1%
10000000 1
 
0.7%

Length

2024-05-11T15:16:01.679747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:16:01.881124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 128
94.1%
0 7
 
5.1%
10000000 1
 
0.7%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)1.1%
Missing41
Missing (%)30.1%
Memory size404.0 B
False
95 
(Missing)
41 
ValueCountFrequency (%)
False 95
69.9%
(Missing) 41
30.1%
2024-05-11T15:16:02.035940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
95 
<NA>
41 

Length

Max length4
Median length1
Mean length1.9044118
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 95
69.9%
<NA> 41
30.1%

Length

2024-05-11T15:16:02.290815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:16:02.521894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 95
69.9%
na 41
30.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing136
Missing (%)100.0%
Memory size1.3 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing136
Missing (%)100.0%
Memory size1.3 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing136
Missing (%)100.0%
Memory size1.3 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
032300003230000-114-1986-0077419860816<NA>3폐업2폐업19940104<NA><NA><NA>02 00000.00138160서울특별시 송파구 가락동 산 600-0<NA><NA>목포상회2002-09-04 00:00:00I2018-08-31 23:59:59.0기타식품판매업<NA><NA>기타식품판매업10주택가주변지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0<NA><NA><NA>
132300003230000-114-1990-0211119900829<NA>1영업/정상1영업<NA><NA><NA><NA>02 41160841,987.39138915서울특별시 송파구 잠실동 40-1 롯데백화점 지하1층서울특별시 송파구 올림픽로 240, 지하1층 (잠실동, 롯데백화점)5554롯데쇼핑(주)2022-06-21 11:08:50U2021-12-05 22:03:00.0기타식품판매업208589.363343445455.904053<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
232300003230000-114-1991-0077019910329<NA>3폐업2폐업20030703<NA><NA><NA>02 4013211.00138885서울특별시 송파구 문정동 150-0<NA><NA>LG유통올림픽점2003-03-20 00:00:00I2018-08-31 23:59:59.0기타식품판매업210045.748264442930.687285기타식품판매업11주택가주변상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0<NA><NA><NA>
332300003230000-114-1992-0076919920709<NA>3폐업2폐업19980812<NA><NA><NA>02 4013211.00138915서울특별시 송파구 잠실동 40-1 롯데백화점 지하동<NA><NA>롯데쇼핑(주)2002-09-04 00:00:00I2018-08-31 23:59:59.0기타식품판매업208589.363343445455.904053기타식품판매업<NA><NA>주택가주변우수상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0<NA><NA><NA>
432300003230000-114-1995-0077119950120<NA>1영업/정상1영업<NA><NA><NA><NA>02 40711711,934.00138881서울특별시 송파구 가락동 600서울특별시 송파구 양재대로 932, 판매동 2층 27-1호 (가락동, 가락시장)5699다농산업(주)2021-04-08 12:06:16U2021-04-10 02:40:00.0기타식품판매업209790.959909443481.212174기타식품판매업<NA><NA>주택가주변우수상수도전용<NA>0000<NA><NA><NA>N0<NA><NA><NA>
532300003230000-114-1996-0073919960608<NA>3폐업2폐업20010413<NA><NA><NA>02 4037834.00138823서울특별시 송파구 문정동 1-0 주공상가지하<NA><NA>해태유통문정영업소2002-09-04 00:00:00I2018-08-31 23:59:59.0기타식품판매업211453.050927443165.755656기타식품판매업<NA>1주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0<NA><NA><NA>
632300003230000-114-1996-0074019960621<NA>3폐업2폐업20221201<NA><NA><NA>02 423 3774646.54138916서울특별시 송파구 잠실동 27-6 종합상가 7호동서울특별시 송파구 올림픽로 203, 7호동 (잠실동,종합상가)5503(주)지에스리테일잠실점2022-12-01 13:50:17U2021-11-02 00:05:00.0기타식품판매업208187.623477445589.718583<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
732300003230000-114-1996-007411996-06-25<NA>1영업/정상1영업<NA><NA><NA><NA>0222403106302.80138-854서울특별시 송파구 송파동 150-2서울특별시 송파구 가락로28길 7, 1층 (송파동)5671홈플러스익스프레스 송파점2024-03-18 13:24:48U2023-12-02 22:00:00.0기타식품판매업210252.906739444914.307441<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
832300003230000-114-1996-007421996-06-26<NA>1영업/정상1영업<NA><NA><NA><NA>02 4400785876.64138-829서울특별시 송파구 방이동 89-11서울특별시 송파구 양재대로 1222 (방이동)5648(주)이마트에브리데이 올림픽점2024-05-07 16:19:16U2023-12-05 00:09:00.0기타식품판매업211619.36801445963.384875<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
932300003230000-114-1996-0074419960701<NA>3폐업2폐업20061020<NA><NA><NA>02 4225001.00138934서울특별시 송파구 신천동 7-8 (장미상가B동101호)<NA><NA>(주)송호산업2000-12-01 00:00:00I2018-08-31 23:59:59.0기타식품판매업<NA><NA>기타식품판매업00아파트지역기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
12632300003230000-114-2020-0000420200407<NA>1영업/정상1영업<NA><NA><NA><NA><NA>528.00138916서울특별시 송파구 잠실동 27 잠실주공아파트서울특별시 송파구 송파대로 567, 1층 (잠실동, 잠실주공아파트)5503굿모닝 마트2020-04-08 15:44:30I2020-04-09 00:23:32.0기타식품판매업208317.419891445894.98085기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>임대<NA><NA>N0<NA><NA><NA>
12732300003230000-114-2020-000052020-07-29<NA>1영업/정상1영업<NA><NA><NA><NA><NA>727.64138-883서울특별시 송파구 가락동 479 헬리오시티서울특별시 송파구 송파대로 345, 지하 1층 149호 (가락동, 헬리오시티)5698(주)이마트에브리데이 송파점2024-05-03 16:44:00U2023-12-05 00:05:00.0기타식품판매업209412.19781443928.783342<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12832300003230000-114-2020-0000620200918<NA>1영업/정상1영업<NA><NA><NA><NA><NA>907.80138855서울특별시 송파구 오금동 18-9서울특별시 송파구 마천로 57, 1,2층 (오금동)5657올스타푸드마켓2020-09-18 10:49:14I2020-09-20 00:23:12.0기타식품판매업211173.348426445135.15563기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>임대<NA><NA>N0<NA><NA><NA>
12932300003230000-114-2021-0000120210326<NA>1영업/정상1영업<NA><NA><NA><NA><NA>494.58138824서울특별시 송파구 문정동 21-5 에코타워서울특별시 송파구 송이로32길 18, 에코타워 1층 101호 (문정동)5803홈식자재마트(주)2021-03-26 11:52:20I2021-03-28 00:22:59.0기타식품판매업211203.614271442928.193053기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>임대<NA><NA>N0<NA><NA><NA>
13032300003230000-114-2021-000022021-04-30<NA>1영업/정상1영업<NA><NA><NA><NA><NA>989.40138-829서울특별시 송파구 방이동 89-12 BNK 올림픽프라자서울특별시 송파구 양재대로 1220, 1층 (방이동)5648롯데쇼핑(주)롯데슈퍼올림픽점2023-05-22 16:48:50U2022-12-04 22:04:00.0기타식품판매업211708.264682445907.582851<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13132300003230000-114-2021-0000320211008<NA>1영업/정상1영업<NA><NA><NA><NA><NA>312.86138817서울특별시 송파구 마천동 22-3 한주리버뷰아파트서울특별시 송파구 마천로 243, 1층 101호,102호,103호,104호,105,106호 (마천동, 한주리버뷰아파트)5733썬 마켓2022-09-20 10:33:42U2021-12-08 22:02:00.0기타식품판매업212730.758001444154.133126<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13232300003230000-114-2021-0000420211228<NA>1영업/정상1영업<NA><NA><NA><NA><NA>729.00138881서울특별시 송파구 가락동 600 가락동 농수산물도매시장서울특별시 송파구 양재대로 932, 가락동 농수산물도매시장 가락몰 3관 2층 (가락동)5699(주)새농2022-12-05 15:05:48U2021-11-02 00:07:00.0기타식품판매업209790.959909443481.212174<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13332300003230000-114-2022-0000120220204<NA>1영업/정상1영업<NA><NA><NA><NA><NA>146.00138853서울특별시 송파구 송파동 163-17서울특별시 송파구 오금로32길 32, 지하1층 (송파동)5672(주)지에스리테일 GS 더프레시 송파2점2022-08-09 11:06:47U2021-12-07 23:01:00.0기타식품판매업210432.726398444603.003663<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13432300003230000-114-2022-0000220221206<NA>1영업/정상1영업<NA><NA><NA><NA>02 423 0211742.50138916서울특별시 송파구 잠실동 27-6 잠실주공아파트서울특별시 송파구 올림픽로 203, 잠실중앙상가 지하1층 7호 (잠실동)5503알파마트 5단지2022-12-06 10:55:24I2021-11-02 00:08:00.0기타식품판매업208187.623477445589.718583<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13532300003230000-114-2023-000012023-03-21<NA>1영업/정상1영업<NA><NA><NA><NA><NA>444.00138-888서울특별시 송파구 문정동 618 파크하비오서울특별시 송파구 송파대로 111, 하비오길동 1층 호텔로 202동 137~144호 (문정동, 파크하비오)5837지에스더프레시 송파하비오점2023-03-21 10:25:51I2022-12-02 22:03:00.0기타식품판매업210868.397497442053.227933<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>