Overview

Dataset statistics

Number of variables44
Number of observations237
Missing cells2946
Missing cells (%)28.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory87.4 KiB
Average record size in memory377.6 B

Variable types

Categorical19
Text7
DateTime4
Unsupported9
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
Author금천구
URLhttps://data.seoul.go.kr/dataList/OA-17994/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
영업장주변구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (70.2%)Imbalance
여성종사자수 is highly imbalanced (70.2%)Imbalance
급수시설구분명 is highly imbalanced (71.1%)Imbalance
총인원 is highly imbalanced (71.1%)Imbalance
본사종업원수 is highly imbalanced (71.1%)Imbalance
공장사무직종업원수 is highly imbalanced (71.1%)Imbalance
공장판매직종업원수 is highly imbalanced (71.1%)Imbalance
공장생산직종업원수 is highly imbalanced (71.1%)Imbalance
보증액 is highly imbalanced (71.1%)Imbalance
월세액 is highly imbalanced (71.1%)Imbalance
인허가취소일자 has 237 (100.0%) missing valuesMissing
폐업일자 has 35 (14.8%) missing valuesMissing
휴업시작일자 has 237 (100.0%) missing valuesMissing
휴업종료일자 has 237 (100.0%) missing valuesMissing
재개업일자 has 237 (100.0%) missing valuesMissing
전화번호 has 81 (34.2%) missing valuesMissing
소재지면적 has 150 (63.3%) missing valuesMissing
도로명주소 has 111 (46.8%) missing valuesMissing
도로명우편번호 has 118 (49.8%) missing valuesMissing
좌표정보(X) has 9 (3.8%) missing valuesMissing
좌표정보(Y) has 9 (3.8%) missing valuesMissing
영업장주변구분명 has 236 (99.6%) missing valuesMissing
등급구분명 has 237 (100.0%) missing valuesMissing
건물소유구분명 has 237 (100.0%) missing valuesMissing
다중이용업소여부 has 32 (13.5%) missing valuesMissing
시설총규모 has 32 (13.5%) missing valuesMissing
전통업소지정번호 has 237 (100.0%) missing valuesMissing
전통업소주된음식 has 237 (100.0%) missing valuesMissing
홈페이지 has 237 (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
등급구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물소유구분명 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
시설총규모 has 146 (61.6%) zerosZeros

Reproduction

Analysis started2024-04-06 10:43:23.942509
Analysis finished2024-04-06 10:43:25.338367
Duration1.4 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
3170000
237 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3170000
2nd row3170000
3rd row3170000
4th row3170000
5th row3170000

Common Values

ValueCountFrequency (%)
3170000 237
100.0%

Length

2024-04-06T19:43:25.466163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:43:25.618754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3170000 237
100.0%

관리번호
Text

UNIQUE 

Distinct237
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-04-06T19:43:25.916242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters5214
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

Unique237 ?
Unique (%)100.0%

Sample

1st row3170000-120-2003-00001
2nd row3170000-120-2003-00002
3rd row3170000-120-2003-00003
4th row3170000-120-2003-00004
5th row3170000-120-2003-00005
ValueCountFrequency (%)
3170000-120-2003-00001 1
 
0.4%
3170000-120-2011-00003 1
 
0.4%
3170000-120-2011-00005 1
 
0.4%
3170000-120-2011-00006 1
 
0.4%
3170000-120-2011-00007 1
 
0.4%
3170000-120-2011-00008 1
 
0.4%
3170000-120-2011-00009 1
 
0.4%
3170000-120-2011-00010 1
 
0.4%
3170000-120-2011-00011 1
 
0.4%
3170000-120-2012-00001 1
 
0.4%
Other values (227) 227
95.8%
2024-04-06T19:43:26.515142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2454
47.1%
- 711
 
13.6%
1 635
 
12.2%
2 551
 
10.6%
3 358
 
6.9%
7 281
 
5.4%
4 62
 
1.2%
5 52
 
1.0%
6 47
 
0.9%
9 33
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4503
86.4%
Dash Punctuation 711
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2454
54.5%
1 635
 
14.1%
2 551
 
12.2%
3 358
 
8.0%
7 281
 
6.2%
4 62
 
1.4%
5 52
 
1.2%
6 47
 
1.0%
9 33
 
0.7%
8 30
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 711
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5214
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2454
47.1%
- 711
 
13.6%
1 635
 
12.2%
2 551
 
10.6%
3 358
 
6.9%
7 281
 
5.4%
4 62
 
1.2%
5 52
 
1.0%
6 47
 
0.9%
9 33
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5214
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2454
47.1%
- 711
 
13.6%
1 635
 
12.2%
2 551
 
10.6%
3 358
 
6.9%
7 281
 
5.4%
4 62
 
1.2%
5 52
 
1.0%
6 47
 
0.9%
9 33
 
0.6%

인허가일자
Date

Distinct174
Distinct (%)73.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2003-10-17 00:00:00
Maximum2023-10-20 00:00:00
2024-04-06T19:43:26.861101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:43:27.099993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing237
Missing (%)100.0%
Memory size2.2 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
3
202 
1
35 

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 (%)
3 202
85.2%
1 35
 
14.8%

Length

2024-04-06T19:43:27.329392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:43:27.515078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 202
85.2%
1 35
 
14.8%

영업상태명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
폐업
202 
영업/정상
35 

Length

Max length5
Median length2
Mean length2.443038
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 202
85.2%
영업/정상 35
 
14.8%

Length

2024-04-06T19:43:27.801309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:43:27.979598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 202
85.2%
영업/정상 35
 
14.8%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2
202 
1
35 

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 (%)
2 202
85.2%
1 35
 
14.8%

Length

2024-04-06T19:43:28.206193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:43:28.396915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 202
85.2%
1 35
 
14.8%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
폐업
202 
영업
35 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 202
85.2%
영업 35
 
14.8%

Length

2024-04-06T19:43:28.629600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:43:28.836484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 202
85.2%
영업 35
 
14.8%

폐업일자
Date

MISSING 

Distinct187
Distinct (%)92.6%
Missing35
Missing (%)14.8%
Memory size2.0 KiB
Minimum2003-10-29 00:00:00
Maximum2023-10-31 00:00:00
2024-04-06T19:43:29.118918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:43:29.439135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing237
Missing (%)100.0%
Memory size2.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing237
Missing (%)100.0%
Memory size2.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing237
Missing (%)100.0%
Memory size2.2 KiB

전화번호
Text

MISSING 

Distinct149
Distinct (%)95.5%
Missing81
Missing (%)34.2%
Memory size2.0 KiB
2024-04-06T19:43:30.025248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.9615385
Min length7

Characters and Unicode

Total characters1554
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

Unique143 ?
Unique (%)91.7%

Sample

1st row868 2887
2nd row32818536
3rd row0263410069
4th row02 8908018
5th row8395847
ValueCountFrequency (%)
02 75
25.7%
830 5
 
1.7%
070 4
 
1.4%
850 4
 
1.4%
868 4
 
1.4%
031 3
 
1.0%
896 3
 
1.0%
2347575 3
 
1.0%
080 3
 
1.0%
8529044 2
 
0.7%
Other values (174) 186
63.7%
2024-04-06T19:43:31.329872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 283
18.2%
2 214
13.8%
8 197
12.7%
173
11.1%
5 115
7.4%
1 115
7.4%
3 110
 
7.1%
9 99
 
6.4%
6 96
 
6.2%
4 76
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1381
88.9%
Space Separator 173
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 283
20.5%
2 214
15.5%
8 197
14.3%
5 115
8.3%
1 115
8.3%
3 110
 
8.0%
9 99
 
7.2%
6 96
 
7.0%
4 76
 
5.5%
7 76
 
5.5%
Space Separator
ValueCountFrequency (%)
173
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1554
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 283
18.2%
2 214
13.8%
8 197
12.7%
173
11.1%
5 115
7.4%
1 115
7.4%
3 110
 
7.1%
9 99
 
6.4%
6 96
 
6.2%
4 76
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1554
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 283
18.2%
2 214
13.8%
8 197
12.7%
173
11.1%
5 115
7.4%
1 115
7.4%
3 110
 
7.1%
9 99
 
6.4%
6 96
 
6.2%
4 76
 
4.9%

소재지면적
Text

MISSING 

Distinct73
Distinct (%)83.9%
Missing150
Missing (%)63.3%
Memory size2.0 KiB
2024-04-06T19:43:31.812895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length5.8045977
Min length5

Characters and Unicode

Total characters505
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

Unique61 ?
Unique (%)70.1%

Sample

1st row133.90
2nd row306.00
3rd row500.00
4th row283.90
5th row274.00
ValueCountFrequency (%)
75.24 4
 
4.6%
42.06 2
 
2.3%
295.21 2
 
2.3%
280.00 2
 
2.3%
160.38 2
 
2.3%
105.14 2
 
2.3%
415.95 2
 
2.3%
35.10 2
 
2.3%
84.57 2
 
2.3%
116.76 2
 
2.3%
Other values (63) 65
74.7%
2024-04-06T19:43:32.846533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 87
17.2%
0 80
15.8%
1 66
13.1%
5 44
8.7%
4 44
8.7%
2 41
8.1%
9 30
 
5.9%
3 30
 
5.9%
8 30
 
5.9%
6 28
 
5.5%
Other values (2) 25
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 417
82.6%
Other Punctuation 88
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 80
19.2%
1 66
15.8%
5 44
10.6%
4 44
10.6%
2 41
9.8%
9 30
 
7.2%
3 30
 
7.2%
8 30
 
7.2%
6 28
 
6.7%
7 24
 
5.8%
Other Punctuation
ValueCountFrequency (%)
. 87
98.9%
, 1
 
1.1%

Most occurring scripts

ValueCountFrequency (%)
Common 505
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 87
17.2%
0 80
15.8%
1 66
13.1%
5 44
8.7%
4 44
8.7%
2 41
8.1%
9 30
 
5.9%
3 30
 
5.9%
8 30
 
5.9%
6 28
 
5.5%
Other values (2) 25
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 505
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 87
17.2%
0 80
15.8%
1 66
13.1%
5 44
8.7%
4 44
8.7%
2 41
8.1%
9 30
 
5.9%
3 30
 
5.9%
8 30
 
5.9%
6 28
 
5.5%
Other values (2) 25
 
5.0%

소재지우편번호
Categorical

Distinct38
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
153803
70 
153801
30 
153802
27 
153030
11 
153813
 
9
Other values (33)
90 

Length

Max length7
Median length6
Mean length6.1012658
Min length6

Unique

Unique11 ?
Unique (%)4.6%

Sample

1st row153030
2nd row153813
3rd row153803
4th row153802
5th row153830

Common Values

ValueCountFrequency (%)
153803 70
29.5%
153801 30
12.7%
153802 27
 
11.4%
153030 11
 
4.6%
153813 9
 
3.8%
153864 8
 
3.4%
153820 7
 
3.0%
153814 6
 
2.5%
153828 6
 
2.5%
153829 5
 
2.1%
Other values (28) 58
24.5%

Length

2024-04-06T19:43:33.103847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
153803 70
29.5%
153801 30
12.7%
153802 27
 
11.4%
153030 11
 
4.6%
153813 9
 
3.8%
153864 8
 
3.4%
153820 7
 
3.0%
153814 6
 
2.5%
153828 6
 
2.5%
153863 5
 
2.1%
Other values (28) 58
24.5%

지번주소
Text

Distinct209
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-04-06T19:43:33.571251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length41
Mean length27.506329
Min length19

Characters and Unicode

Total characters6519
Distinct characters191
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique183 ?
Unique (%)77.2%

Sample

1st row서울특별시 금천구 시흥동 산 100-4번지
2nd row서울특별시 금천구 독산동 300-21번지 (가산얄개길 24)
3rd row서울특별시 금천구 가산동 371-51번지 한국전자협동 6층 (가산디지털2길 87)
4th row서울특별시 금천구 가산동 327-24번지 (가산디지털2길 181)
5th row서울특별시 금천구 독산동 1033-57번지
ValueCountFrequency (%)
서울특별시 237
19.9%
금천구 237
19.9%
가산동 137
 
11.5%
독산동 64
 
5.4%
시흥동 37
 
3.1%
지하1층 20
 
1.7%
산 17
 
1.4%
가산디지털1길 8
 
0.7%
가산디지털2길 8
 
0.7%
지상3층 7
 
0.6%
Other values (290) 416
35.0%
2024-04-06T19:43:34.261795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1171
 
18.0%
시 281
 
4.3%
천 253
 
3.9%
지 251
 
3.9%
금 251
 
3.9%
동 244
 
3.7%
산 243
 
3.7%
서 240
 
3.7%
구 240
 
3.7%
울 239
 
3.7%
Other values (181) 3106
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3715
57.0%
Decimal Number 1244
 
19.1%
Space Separator 1171
 
18.0%
Dash Punctuation 231
 
3.5%
Close Punctuation 57
 
0.9%
Open Punctuation 57
 
0.9%
Uppercase Letter 40
 
0.6%
Lowercase Letter 3
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 281
 
7.6%
천 253
 
6.8%
지 251
 
6.8%
금 251
 
6.8%
동 244
 
6.6%
산 243
 
6.5%
서 240
 
6.5%
구 240
 
6.5%
울 239
 
6.4%
별 238
 
6.4%
Other values (151) 1235
33.2%
Uppercase Letter
ValueCountFrequency (%)
C 7
17.5%
G 6
15.0%
Y 5
12.5%
B 4
10.0%
L 4
10.0%
H 4
10.0%
I 4
10.0%
T 2
 
5.0%
A 1
 
2.5%
D 1
 
2.5%
Other values (2) 2
 
5.0%
Decimal Number
ValueCountFrequency (%)
1 204
16.4%
3 165
13.3%
9 147
11.8%
2 145
11.7%
5 141
11.3%
4 130
10.5%
0 104
8.4%
7 95
7.6%
6 67
 
5.4%
8 46
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
t 1
33.3%
e 1
33.3%
k 1
33.3%
Space Separator
ValueCountFrequency (%)
1171
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 231
100.0%
Close Punctuation
ValueCountFrequency (%)
) 57
100.0%
Open Punctuation
ValueCountFrequency (%)
( 57
100.0%
Other Punctuation
ValueCountFrequency (%)
＆ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3715
57.0%
Common 2761
42.4%
Latin 43
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 281
 
7.6%
천 253
 
6.8%
지 251
 
6.8%
금 251
 
6.8%
동 244
 
6.6%
산 243
 
6.5%
서 240
 
6.5%
구 240
 
6.5%
울 239
 
6.4%
별 238
 
6.4%
Other values (151) 1235
33.2%
Common
ValueCountFrequency (%)
1171
42.4%
- 231
 
8.4%
1 204
 
7.4%
3 165
 
6.0%
9 147
 
5.3%
2 145
 
5.3%
5 141
 
5.1%
4 130
 
4.7%
0 104
 
3.8%
7 95
 
3.4%
Other values (5) 228
 
8.3%
Latin
ValueCountFrequency (%)
C 7
16.3%
G 6
14.0%
Y 5
11.6%
B 4
9.3%
L 4
9.3%
H 4
9.3%
I 4
9.3%
T 2
 
4.7%
t 1
 
2.3%
e 1
 
2.3%
Other values (5) 5
11.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3715
57.0%
ASCII 2803
43.0%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1171
41.8%
- 231
 
8.2%
1 204
 
7.3%
3 165
 
5.9%
9 147
 
5.2%
2 145
 
5.2%
5 141
 
5.0%
4 130
 
4.6%
0 104
 
3.7%
7 95
 
3.4%
Other values (19) 270
 
9.6%
Hangul
ValueCountFrequency (%)
시 281
 
7.6%
천 253
 
6.8%
지 251
 
6.8%
금 251
 
6.8%
동 244
 
6.6%
산 243
 
6.5%
서 240
 
6.5%
구 240
 
6.5%
울 239
 
6.4%
별 238
 
6.4%
Other values (151) 1235
33.2%
None
ValueCountFrequency (%)
＆ 1
100.0%

도로명주소
Text

MISSING 

Distinct115
Distinct (%)91.3%
Missing111
Missing (%)46.8%
Memory size2.0 KiB
2024-04-06T19:43:34.800447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length45
Mean length33.984127
Min length22

Characters and Unicode

Total characters4282
Distinct characters173
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique105 ?
Unique (%)83.3%

Sample

1st row서울특별시 금천구 가산디지털1로 159-13 (주)로옴코리아 (가산동)
2nd row서울특별시 금천구 시흥대로 391, 지상1층 (독산동)
3rd row서울특별시 금천구 가산로9길 96 (가산동)
4th row서울특별시 금천구 시흥대로51길 20 (시흥동)
5th row서울특별시 금천구 범안로11길 68, 지상4층 (독산동)
ValueCountFrequency (%)
서울특별시 126
 
16.0%
금천구 126
 
16.0%
가산동 64
 
8.1%
독산동 36
 
4.6%
가산디지털2로 29
 
3.7%
가산디지털1로 23
 
2.9%
지하1층 21
 
2.7%
시흥대로 17
 
2.2%
시흥동 17
 
2.2%
지상1층 10
 
1.3%
Other values (178) 320
40.6%
2024-04-06T19:43:35.592767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
670
 
15.6%
1 186
 
4.3%
산 177
 
4.1%
시 176
 
4.1%
금 142
 
3.3%
천 142
 
3.3%
) 138
 
3.2%
( 138
 
3.2%
가 133
 
3.1%
동 132
 
3.1%
Other values (163) 2248
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2564
59.9%
Space Separator 670
 
15.6%
Decimal Number 601
 
14.0%
Close Punctuation 138
 
3.2%
Open Punctuation 138
 
3.2%
Other Punctuation 111
 
2.6%
Uppercase Letter 45
 
1.1%
Dash Punctuation 12
 
0.3%
Lowercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 177
 
6.9%
시 176
 
6.9%
금 142
 
5.5%
천 142
 
5.5%
가 133
 
5.2%
동 132
 
5.1%
서 131
 
5.1%
구 128
 
5.0%
별 127
 
5.0%
특 126
 
4.9%
Other values (132) 1150
44.9%
Uppercase Letter
ValueCountFrequency (%)
B 9
20.0%
C 7
15.6%
G 6
13.3%
Y 5
11.1%
L 4
8.9%
H 4
8.9%
I 4
8.9%
T 2
 
4.4%
D 1
 
2.2%
R 1
 
2.2%
Other values (2) 2
 
4.4%
Decimal Number
ValueCountFrequency (%)
1 186
30.9%
2 99
16.5%
5 61
 
10.1%
3 53
 
8.8%
0 44
 
7.3%
4 41
 
6.8%
9 38
 
6.3%
6 33
 
5.5%
7 24
 
4.0%
8 22
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
k 1
33.3%
t 1
33.3%
e 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 110
99.1%
＆ 1
 
0.9%
Space Separator
ValueCountFrequency (%)
670
100.0%
Close Punctuation
ValueCountFrequency (%)
) 138
100.0%
Open Punctuation
ValueCountFrequency (%)
( 138
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2564
59.9%
Common 1670
39.0%
Latin 48
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 177
 
6.9%
시 176
 
6.9%
금 142
 
5.5%
천 142
 
5.5%
가 133
 
5.2%
동 132
 
5.1%
서 131
 
5.1%
구 128
 
5.0%
별 127
 
5.0%
특 126
 
4.9%
Other values (132) 1150
44.9%
Common
ValueCountFrequency (%)
670
40.1%
1 186
 
11.1%
) 138
 
8.3%
( 138
 
8.3%
, 110
 
6.6%
2 99
 
5.9%
5 61
 
3.7%
3 53
 
3.2%
0 44
 
2.6%
4 41
 
2.5%
Other values (6) 130
 
7.8%
Latin
ValueCountFrequency (%)
B 9
18.8%
C 7
14.6%
G 6
12.5%
Y 5
10.4%
L 4
8.3%
H 4
8.3%
I 4
8.3%
T 2
 
4.2%
D 1
 
2.1%
R 1
 
2.1%
Other values (5) 5
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2564
59.9%
ASCII 1717
40.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
670
39.0%
1 186
 
10.8%
) 138
 
8.0%
( 138
 
8.0%
, 110
 
6.4%
2 99
 
5.8%
5 61
 
3.6%
3 53
 
3.1%
0 44
 
2.6%
4 41
 
2.4%
Other values (20) 177
 
10.3%
Hangul
ValueCountFrequency (%)
산 177
 
6.9%
시 176
 
6.9%
금 142
 
5.5%
천 142
 
5.5%
가 133
 
5.2%
동 132
 
5.1%
서 131
 
5.1%
구 128
 
5.0%
별 127
 
5.0%
특 126
 
4.9%
Other values (132) 1150
44.9%
None
ValueCountFrequency (%)
＆ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)31.9%
Missing118
Missing (%)49.8%
Infinite0
Infinite (%)0.0%
Mean8562.5546
Minimum8500
Maximum8650
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-06T19:43:35.826956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8500
5-th percentile8501.9
Q18513
median8582
Q38592
95-th percentile8638
Maximum8650
Range150
Interquartile range (IQR)79

Descriptive statistics

Standard deviation47.748759
Coefficient of variation (CV)0.0055764619
Kurtosis-1.2875568
Mean8562.5546
Median Absolute Deviation (MAD)46
Skewness0.087317859
Sum1018944
Variance2279.944
MonotonicityNot monotonic
2024-04-06T19:43:36.088619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
8592 9
 
3.8%
8503 8
 
3.4%
8588 8
 
3.4%
8582 7
 
3.0%
8506 7
 
3.0%
8548 6
 
2.5%
8513 6
 
2.5%
8500 5
 
2.1%
8632 5
 
2.1%
8583 5
 
2.1%
Other values (28) 53
22.4%
(Missing) 118
49.8%
ValueCountFrequency (%)
8500 5
2.1%
8501 1
 
0.4%
8502 3
 
1.3%
8503 8
3.4%
8504 3
 
1.3%
8505 1
 
0.4%
8506 7
3.0%
8507 1
 
0.4%
8513 6
2.5%
8514 2
 
0.8%
ValueCountFrequency (%)
8650 4
1.7%
8645 1
 
0.4%
8638 3
1.3%
8634 2
 
0.8%
8633 1
 
0.4%
8632 5
2.1%
8615 1
 
0.4%
8614 1
 
0.4%
8608 2
 
0.8%
8606 1
 
0.4%

사업장명
Text

Distinct230
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-04-06T19:43:36.449743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length18
Mean length12.535865
Min length2

Characters and Unicode

Total characters2971
Distinct characters311
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique223 ?
Unique (%)94.1%

Sample

1st row씨제이푸드시스템(주) 동일학원점
2nd row(주)미감푸드빌가산중학교점
3rd row임마누엘 전자협동점
4th row(주)신세계푸드 대륭테크노점
5th row미각식품
ValueCountFrequency (%)
주)아워홈 16
 
4.3%
주)동원홈푸드 9
 
2.4%
주)신세계푸드 6
 
1.6%
홈플러스 5
 
1.3%
씨제이푸드시스템(주 4
 
1.1%
주)이씨엠디 3
 
0.8%
천재교육 3
 
0.8%
금천고 3
 
0.8%
lg전자 3
 
0.8%
주식회사 3
 
0.8%
Other values (286) 320
85.3%
2024-04-06T19:43:37.046591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 162
 
5.5%
) 161
 
5.4%
( 161
 
5.4%
점 138
 
4.6%
138
 
4.6%
드 75
 
2.5%
스 73
 
2.5%
푸 72
 
2.4%
이 49
 
1.6%
아 46
 
1.5%
Other values (301) 1896
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2404
80.9%
Close Punctuation 161
 
5.4%
Open Punctuation 161
 
5.4%
Space Separator 138
 
4.6%
Uppercase Letter 82
 
2.8%
Other Punctuation 8
 
0.3%
Lowercase Letter 8
 
0.3%
Dash Punctuation 5
 
0.2%
Decimal Number 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 162
 
6.7%
점 138
 
5.7%
드 75
 
3.1%
스 73
 
3.0%
푸 72
 
3.0%
이 49
 
2.0%
아 46
 
1.9%
홈 46
 
1.9%
천 45
 
1.9%
지 43
 
1.8%
Other values (267) 1655
68.8%
Uppercase Letter
ValueCountFrequency (%)
G 11
13.4%
S 9
11.0%
T 9
11.0%
L 9
11.0%
K 8
9.8%
D 8
9.8%
C 7
8.5%
R 7
8.5%
M 4
 
4.9%
A 3
 
3.7%
Other values (7) 7
8.5%
Lowercase Letter
ValueCountFrequency (%)
h 1
12.5%
e 1
12.5%
n 1
12.5%
u 1
12.5%
s 1
12.5%
p 1
12.5%
m 1
12.5%
a 1
12.5%
Other Punctuation
ValueCountFrequency (%)
& 6
75.0%
＆ 1
 
12.5%
/ 1
 
12.5%
Decimal Number
ValueCountFrequency (%)
3 2
50.0%
1 2
50.0%
Close Punctuation
ValueCountFrequency (%)
) 161
100.0%
Open Punctuation
ValueCountFrequency (%)
( 161
100.0%
Space Separator
ValueCountFrequency (%)
138
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2404
80.9%
Common 477
 
16.1%
Latin 90
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 162
 
6.7%
점 138
 
5.7%
드 75
 
3.1%
스 73
 
3.0%
푸 72
 
3.0%
이 49
 
2.0%
아 46
 
1.9%
홈 46
 
1.9%
천 45
 
1.9%
지 43
 
1.8%
Other values (267) 1655
68.8%
Latin
ValueCountFrequency (%)
G 11
12.2%
S 9
10.0%
T 9
10.0%
L 9
10.0%
K 8
8.9%
D 8
8.9%
C 7
7.8%
R 7
7.8%
M 4
 
4.4%
A 3
 
3.3%
Other values (15) 15
16.7%
Common
ValueCountFrequency (%)
) 161
33.8%
( 161
33.8%
138
28.9%
& 6
 
1.3%
- 5
 
1.0%
3 2
 
0.4%
1 2
 
0.4%
＆ 1
 
0.2%
/ 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2404
80.9%
ASCII 566
 
19.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 162
 
6.7%
점 138
 
5.7%
드 75
 
3.1%
스 73
 
3.0%
푸 72
 
3.0%
이 49
 
2.0%
아 46
 
1.9%
홈 46
 
1.9%
천 45
 
1.9%
지 43
 
1.8%
Other values (267) 1655
68.8%
ASCII
ValueCountFrequency (%)
) 161
28.4%
( 161
28.4%
138
24.4%
G 11
 
1.9%
S 9
 
1.6%
T 9
 
1.6%
L 9
 
1.6%
K 8
 
1.4%
D 8
 
1.4%
C 7
 
1.2%
Other values (23) 45
 
8.0%
None
ValueCountFrequency (%)
＆ 1
100.0%

최종수정일자
Date

Distinct217
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2003-10-17 00:00:00
Maximum2024-03-08 17:47:10
2024-04-06T19:43:37.281842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:43:37.524060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
I
167 
U
70 

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 167
70.5%
U 70
29.5%

Length

2024-04-06T19:43:37.752133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:43:38.019385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 167
70.5%
u 70
29.5%

데이터갱신일자
Date

Distinct74
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-02 23:00:00
2024-04-06T19:43:38.206121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:43:38.442768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
위탁급식영업
237 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위탁급식영업 237
100.0%

Length

2024-04-06T19:43:38.662124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:43:38.834771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁급식영업 237
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct123
Distinct (%)53.9%
Missing9
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean190150.03
Minimum188903.8
Maximum192528.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-06T19:43:39.050900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum188903.8
5-th percentile189031.67
Q1189390.45
median190021.96
Q3190810.92
95-th percentile191637.23
Maximum192528.78
Range3624.973
Interquartile range (IQR)1420.4639

Descriptive statistics

Standard deviation840.32581
Coefficient of variation (CV)0.0044192779
Kurtosis-0.71066494
Mean190150.03
Median Absolute Deviation (MAD)655.13913
Skewness0.53434857
Sum43354206
Variance706147.46
MonotonicityNot monotonic
2024-04-06T19:43:39.299631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
191152.432649234 6
 
2.5%
191343.596280625 6
 
2.5%
191595.861293319 5
 
2.1%
191696.565954248 5
 
2.1%
190809.507840375 5
 
2.1%
189390.453188476 5
 
2.1%
190182.08312142 5
 
2.1%
190021.956927088 4
 
1.7%
189031.670933573 4
 
1.7%
190105.895009841 4
 
1.7%
Other values (113) 179
75.5%
(Missing) 9
 
3.8%
ValueCountFrequency (%)
188903.803869684 4
1.7%
188981.555267121 2
0.8%
189016.465808265 2
0.8%
189021.226992181 2
0.8%
189031.670933573 4
1.7%
189134.630001409 1
 
0.4%
189158.740846154 1
 
0.4%
189161.545672175 2
0.8%
189182.776746982 3
1.3%
189188.74756733 1
 
0.4%
ValueCountFrequency (%)
192528.776872565 1
 
0.4%
192456.976836903 1
 
0.4%
192027.621424964 1
 
0.4%
191696.565954248 5
2.1%
191662.111133013 2
 
0.8%
191659.51307314 2
 
0.8%
191595.861293319 5
2.1%
191595.806285538 2
 
0.8%
191565.310825727 1
 
0.4%
191547.796792521 1
 
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct123
Distinct (%)53.9%
Missing9
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean440977.45
Minimum436997.08
Maximum442562.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-06T19:43:39.538092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum436997.08
5-th percentile438218.6
Q1440648.99
median441351.22
Q3441871.83
95-th percentile442382.69
Maximum442562.72
Range5565.6469
Interquartile range (IQR)1222.836

Descriptive statistics

Standard deviation1270.1183
Coefficient of variation (CV)0.0028802342
Kurtosis0.42984163
Mean440977.45
Median Absolute Deviation (MAD)622.8355
Skewness-1.1442727
Sum1.0054286 × 108
Variance1613200.6
MonotonicityNot monotonic
2024-04-06T19:43:39.823102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
438865.160717275 6
 
2.5%
438251.799466626 6
 
2.5%
438086.021838555 5
 
2.1%
441871.828091685 5
 
2.1%
440728.382273075 5
 
2.1%
441268.384652142 5
 
2.1%
441619.084699584 5
 
2.1%
440609.209534256 4
 
1.7%
442239.943267799 4
 
1.7%
441556.551279906 4
 
1.7%
Other values (113) 179
75.5%
(Missing) 9
 
3.8%
ValueCountFrequency (%)
436997.075839023 1
 
0.4%
437299.637939286 1
 
0.4%
438086.021838555 5
2.1%
438086.053183246 2
 
0.8%
438186.22864238 1
 
0.4%
438200.726855847 2
 
0.8%
438251.799466626 6
2.5%
438472.986748077 1
 
0.4%
438589.648467902 2
 
0.8%
438701.205634976 2
 
0.8%
ValueCountFrequency (%)
442562.722742062 1
 
0.4%
442542.727582 1
 
0.4%
442497.377672482 2
0.8%
442493.020182986 1
 
0.4%
442417.454889416 2
0.8%
442400.491926686 1
 
0.4%
442386.805689679 2
0.8%
442382.690694868 3
1.3%
442378.911132657 4
1.7%
442369.650853866 1
 
0.4%

위생업태명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
위탁급식영업
205 
<NA>
32 

Length

Max length6
Median length6
Mean length5.7299578
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위탁급식영업 205
86.5%
<NA> 32
 
13.5%

Length

2024-04-06T19:43:40.097579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:43:40.302069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁급식영업 205
86.5%
na 32
 
13.5%

남성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
216 
0
 
19
1
 
2

Length

Max length4
Median length4
Mean length3.7341772
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> 216
91.1%
0 19
 
8.0%
1 2
 
0.8%

Length

2024-04-06T19:43:40.511412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:43:40.673027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 216
91.1%
0 19
 
8.0%
1 2
 
0.8%

여성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
216 
0
 
19
1
 
2

Length

Max length4
Median length4
Mean length3.7341772
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> 216
91.1%
0 19
 
8.0%
1 2
 
0.8%

Length

2024-04-06T19:43:40.853861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:43:41.026801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 216
91.1%
0 19
 
8.0%
1 2
 
0.8%

영업장주변구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing236
Missing (%)99.6%
Memory size2.0 KiB
2024-04-06T19:43:41.151529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row기타
ValueCountFrequency (%)
기타 1
100.0%
2024-04-06T19:43:41.548544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing237
Missing (%)100.0%
Memory size2.2 KiB

급수시설구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
225 
상수도전용
 
12

Length

Max length5
Median length4
Mean length4.0506329
Min length4

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> 225
94.9%
상수도전용 12
 
5.1%

Length

2024-04-06T19:43:41.796620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:43:41.955152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 225
94.9%
상수도전용 12
 
5.1%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
225 
0
 
12

Length

Max length4
Median length4
Mean length3.8481013
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> 225
94.9%
0 12
 
5.1%

Length

2024-04-06T19:43:42.129612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:43:42.293658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 225
94.9%
0 12
 
5.1%

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
225 
0
 
12

Length

Max length4
Median length4
Mean length3.8481013
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> 225
94.9%
0 12
 
5.1%

Length

2024-04-06T19:43:42.481577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:43:42.662906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 225
94.9%
0 12
 
5.1%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
225 
0
 
12

Length

Max length4
Median length4
Mean length3.8481013
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> 225
94.9%
0 12
 
5.1%

Length

2024-04-06T19:43:42.851218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:43:43.022397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 225
94.9%
0 12
 
5.1%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
225 
0
 
12

Length

Max length4
Median length4
Mean length3.8481013
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> 225
94.9%
0 12
 
5.1%

Length

2024-04-06T19:43:43.204421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:43:43.389220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 225
94.9%
0 12
 
5.1%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
225 
0
 
12

Length

Max length4
Median length4
Mean length3.8481013
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> 225
94.9%
0 12
 
5.1%

Length

2024-04-06T19:43:43.592936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:43:43.762943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 225
94.9%
0 12
 
5.1%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing237
Missing (%)100.0%
Memory size2.2 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
225 
0
 
12

Length

Max length4
Median length4
Mean length3.8481013
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> 225
94.9%
0 12
 
5.1%

Length

2024-04-06T19:43:43.926376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:43:44.106431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 225
94.9%
0 12
 
5.1%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
225 
0
 
12

Length

Max length4
Median length4
Mean length3.8481013
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> 225
94.9%
0 12
 
5.1%

Length

2024-04-06T19:43:44.273649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:43:44.485288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 225
94.9%
0 12
 
5.1%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.5%
Missing32
Missing (%)13.5%
Memory size606.0 B
False
205 
(Missing)
32 
ValueCountFrequency (%)
False 205
86.5%
(Missing) 32
 
13.5%
2024-04-06T19:43:44.631900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct52
Distinct (%)25.4%
Missing32
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean70.096439
Minimum0
Maximum1371.9
Zeros146
Zeros (%)61.6%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-06T19:43:44.814096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q363.05
95-th percentile413.81
Maximum1371.9
Range1371.9
Interquartile range (IQR)63.05

Descriptive statistics

Standard deviation157.49171
Coefficient of variation (CV)2.2467862
Kurtosis23.113463
Mean70.096439
Median Absolute Deviation (MAD)0
Skewness3.8380448
Sum14369.77
Variance24803.64
MonotonicityNot monotonic
2024-04-06T19:43:45.074777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 146
61.6%
75.24 4
 
1.7%
295.21 2
 
0.8%
35.1 2
 
0.8%
116.76 2
 
0.8%
420.04 2
 
0.8%
351.0 2
 
0.8%
86.4 1
 
0.4%
110.0 1
 
0.4%
496.29 1
 
0.4%
Other values (42) 42
 
17.7%
(Missing) 32
 
13.5%
ValueCountFrequency (%)
0.0 146
61.6%
11.16 1
 
0.4%
12.59 1
 
0.4%
23.1 1
 
0.4%
35.1 2
 
0.8%
42.06 1
 
0.4%
59.28 1
 
0.4%
63.05 1
 
0.4%
75.24 4
 
1.7%
75.84 1
 
0.4%
ValueCountFrequency (%)
1371.9 1
0.4%
523.0 1
0.4%
500.0 1
0.4%
496.29 1
0.4%
478.41 1
0.4%
470.0 1
0.4%
441.0 1
0.4%
427.95 1
0.4%
420.04 2
0.8%
419.1 1
0.4%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing237
Missing (%)100.0%
Memory size2.2 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing237
Missing (%)100.0%
Memory size2.2 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing237
Missing (%)100.0%
Memory size2.2 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
031700003170000-120-2003-0000120031017<NA>3폐업2폐업20040407<NA><NA><NA><NA><NA>153030서울특별시 금천구 시흥동 산 100-4번지<NA><NA>씨제이푸드시스템(주) 동일학원점2003-10-17 00:00:00I2018-08-31 23:59:59.0위탁급식영업192528.776873438794.421315위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
131700003170000-120-2003-0000220031017<NA>3폐업2폐업20090115<NA><NA><NA><NA><NA>153813서울특별시 금천구 독산동 300-21번지 (가산얄개길 24)<NA><NA>(주)미감푸드빌가산중학교점2008-01-14 14:27:25I2018-08-31 23:59:59.0위탁급식영업190591.306532440703.922557위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
231700003170000-120-2003-0000320031017<NA>3폐업2폐업20100916<NA><NA><NA>868 2887<NA>153803서울특별시 금천구 가산동 371-51번지 한국전자협동 6층 (가산디지털2길 87)<NA><NA>임마누엘 전자협동점2010-04-14 16:58:12I2018-08-31 23:59:59.0위탁급식영업189356.918965441815.713741위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
331700003170000-120-2003-0000420031017<NA>3폐업2폐업20111230<NA><NA><NA>32818536<NA>153802서울특별시 금천구 가산동 327-24번지 (가산디지털2길 181)<NA><NA>(주)신세계푸드 대륭테크노점2010-04-14 17:01:05I2018-08-31 23:59:59.0위탁급식영업189669.316805440921.514797위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
431700003170000-120-2003-0000520031017<NA>3폐업2폐업20040210<NA><NA><NA><NA><NA>153830서울특별시 금천구 독산동 1033-57번지<NA><NA>미각식품2003-10-17 00:00:00I2018-08-31 23:59:59.0위탁급식영업190996.247959440290.698523위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
531700003170000-120-2003-0000620031017<NA>3폐업2폐업20100225<NA><NA><NA><NA><NA>153030서울특별시 금천구 시흥동 산 24-17번지 (박미고개길 37)<NA><NA>한화호텔앤드리조트(주)국악예고점2010-01-22 10:57:09I2018-08-31 23:59:59.0위탁급식영업191662.111133438200.726856위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
631700003170000-120-2003-0000720031017<NA>3폐업2폐업20100405<NA><NA><NA><NA><NA>153806서울특별시 금천구 독산동 147-2번지 (세일얄개길 20)<NA><NA>(주)미감푸드빌세일중학교점2008-01-14 14:26:16I2018-08-31 23:59:59.0위탁급식영업190697.30409441389.512946위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
731700003170000-120-2003-0000820031017<NA>3폐업2폐업20040303<NA><NA><NA><NA><NA>153803서울특별시 금천구 가산동 459-21번지<NA><NA>한화국토개발(주) 삼지전자점2003-10-17 00:00:00I2018-08-31 23:59:59.0위탁급식영업189031.670934442239.943268위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
831700003170000-120-2003-0000920031017<NA>1영업/정상1영업<NA><NA><NA><NA>0263410069133.90153803서울특별시 금천구 가산동 371-11 (주)로옴코리아서울특별시 금천구 가산디지털1로 159-13 (주)로옴코리아 (가산동)8506주식회사 브라운에프엔비 로옴코리아점2022-08-11 11:25:30U2021-12-07 23:03:00.0위탁급식영업189379.194342441907.884312<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
931700003170000-120-2003-0001020031017<NA>3폐업2폐업20050825<NA><NA><NA><NA><NA>153813서울특별시 금천구 독산동 299-38번지<NA><NA>(주)이씨엠디 유진전자통상점2003-10-17 00:00:00I2018-08-31 23:59:59.0위탁급식영업190568.458058441070.240202위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
22731700003170000-120-2022-000032022-03-28<NA>1영업/정상1영업<NA><NA><NA><NA>0234007500349.00153-802서울특별시 금천구 가산동 345-35 지하 1층 구내식당서울특별시 금천구 가산디지털2로 61, 구내식당 지하 1층 (가산동)8588(주)풀무원푸드앤컬처(국도화학)2023-07-24 09:42:15U2022-12-06 22:06:00.0위탁급식영업189390.453188441268.384652<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
22831700003170000-120-2022-0000420220926<NA>1영업/정상1영업<NA><NA><NA><NA><NA>84.57153823서울특별시 금천구 독산동 959-23 3층서울특별시 금천구 독산로 359, 3층 (독산동)8537더채움2022-09-26 14:18:11I2021-12-08 22:08:00.0위탁급식영업191399.035388441861.462958<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
22931700003170000-120-2022-000052022-10-05<NA>1영업/정상1영업<NA><NA><NA><NA><NA>181.09153-863서울특별시 금천구 시흥동 985-14 5층서울특별시 금천구 시흥대로 139, 5층 (시흥동)8638KT금천점2023-12-18 15:31:31U2022-11-01 22:00:00.0위탁급식영업191343.596281438251.799467<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23031700003170000-120-2023-000012023-02-01<NA>1영업/정상1영업<NA><NA><NA><NA>031 6652991160.38153-828서울특별시 금천구 독산동 999-2 모델솔루션(주)서울특별시 금천구 벚꽃로20길 24, 모델솔루션(주) 3층 일부호 (독산동)8582모델솔루션점2023-02-01 11:05:14I2022-12-02 00:03:00.0위탁급식영업190182.401259440819.35471<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23131700003170000-120-2023-000022023-03-15<NA>1영업/정상1영업<NA><NA><NA><NA>02 8963181656.00153-030서울특별시 금천구 시흥동 산 24-4 금천고등학교서울특별시 금천구 시흥대로38길 26, 금천고등학교 509호 (시흥동)8650세종에프앤에스 주식회사 금천고2023-03-15 13:41:38I2022-12-02 23:07:00.0위탁급식영업191595.806286438086.053183<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23231700003170000-120-2023-000032023-05-25<NA>3폐업2폐업2023-10-11<NA><NA><NA><NA>58.80153-703서울특별시 금천구 독산동 953-9 금천세무서서울특별시 금천구 시흥대로152길 11-21, 금천세무서 (독산동)8536금천세무서 구내식당2023-10-11 12:58:40U2022-10-30 23:03:00.0위탁급식영업191060.898903441756.072964<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23331700003170000-120-2023-000042023-06-27<NA>1영업/정상1영업<NA><NA><NA><NA><NA>45.00153-823서울특별시 금천구 독산동 953 삼부 르네상스 플러스서울특별시 금천구 시흥대로152길 11-43, 삼부 르네상스 플러스 2층 (독산동)8536서울 조은 요양원2023-06-27 10:36:37I2022-12-05 22:09:00.0위탁급식영업191132.625752441825.157273<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23431700003170000-120-2023-000052023-08-03<NA>1영업/정상1영업<NA><NA><NA><NA><NA>415.95153-801서울특별시 금천구 가산동 60-28 천재교육서울특별시 금천구 가산로9길 54, 천재교육 지상5층 (가산동)8513천재교육 본사지점(다온)2023-08-03 17:17:53I2022-12-08 00:05:00.0위탁급식영업190105.89501441556.55128<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23531700003170000-120-2023-000062023-10-06<NA>1영업/정상1영업<NA><NA><NA><NA><NA>424.76153-803서울특별시 금천구 가산동 371-17 BYC HIGHCITY서울특별시 금천구 가산디지털1로 131, BYC HIGHCITY 지하1층 B115(일부)호 (가산동)8506카페테리아 어썸2023-10-06 14:58:15I2022-10-31 00:08:00.0위탁급식영업189522.336722441654.010373<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23631700003170000-120-2023-000072023-10-20<NA>1영업/정상1영업<NA><NA><NA><NA><NA>119.96153-010서울특별시 금천구 독산동 1156 금천롯데캐슬골드파크4차서울특별시 금천구 시흥대로 315, 금천롯데캐슬골드파크4차 업무시설동 1층 101호 (독산동)8608푸드하우스 금천세무서2023-12-01 16:58:48U2022-11-02 00:03:00.0위탁급식영업190799.832999439885.941303<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>