Overview

Dataset statistics

Number of variables35
Number of observations284
Missing cells2693
Missing cells (%)27.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory83.1 KiB
Average record size in memory299.5 B

Variable types

Categorical14
Text7
DateTime6
Unsupported4
Numeric4

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),사무실면적,소독차량차고면적,초미립자살포기수,휴대용소독기수,동력분무기수,수동식분무기수,방독면수,보호안경수,보호용의복수,진공청소기수
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-19449/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 284 (100.0%) missing valuesMissing
폐업일자 has 142 (50.0%) missing valuesMissing
휴업시작일자 has 279 (98.2%) missing valuesMissing
휴업종료일자 has 280 (98.6%) missing valuesMissing
재개업일자 has 284 (100.0%) missing valuesMissing
전화번호 has 60 (21.1%) missing valuesMissing
소재지면적 has 284 (100.0%) missing valuesMissing
소재지우편번호 has 170 (59.9%) missing valuesMissing
지번주소 has 9 (3.2%) missing valuesMissing
도로명주소 has 13 (4.6%) missing valuesMissing
도로명우편번호 has 84 (29.6%) missing valuesMissing
업태구분명 has 284 (100.0%) missing valuesMissing
좌표정보(X) has 14 (4.9%) missing valuesMissing
좌표정보(Y) has 14 (4.9%) missing valuesMissing
사무실면적 has 246 (86.6%) missing valuesMissing
소독차량차고면적 has 246 (86.6%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-29 19:55:57.946098
Analysis finished2024-04-29 19:55:58.806158
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
3220000
284 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3220000 284
100.0%

Length

2024-04-30T04:55:58.871851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:55:58.950700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 284
100.0%

관리번호
Text

UNIQUE 

Distinct284
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-04-30T04:55:59.104816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters7100
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique284 ?
Unique (%)100.0%

Sample

1st rowPHMB519923220033042500001
2nd rowPHMB519943220033042500001
3rd rowPHMB519943220033042500002
4th rowPHMB519943220033042500003
5th rowPHMB519973220033042500001
ValueCountFrequency (%)
phmb519923220033042500001 1
 
0.4%
phmb520203220033042500012 1
 
0.4%
phmb520203220033042500020 1
 
0.4%
phmb520203220033042500018 1
 
0.4%
phmb520203220033042500017 1
 
0.4%
phmb520203220033042500016 1
 
0.4%
phmb520203220033042500014 1
 
0.4%
phmb520203220033042500026 1
 
0.4%
phmb520203220033042500011 1
 
0.4%
phmb520203220033042500022 1
 
0.4%
Other values (274) 274
96.5%
2024-04-30T04:55:59.374668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2309
32.5%
2 1344
18.9%
3 924
13.0%
5 612
 
8.6%
4 343
 
4.8%
P 284
 
4.0%
H 284
 
4.0%
M 284
 
4.0%
B 284
 
4.0%
1 235
 
3.3%
Other values (4) 197
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5964
84.0%
Uppercase Letter 1136
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2309
38.7%
2 1344
22.5%
3 924
15.5%
5 612
 
10.3%
4 343
 
5.8%
1 235
 
3.9%
9 73
 
1.2%
8 43
 
0.7%
6 42
 
0.7%
7 39
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
P 284
25.0%
H 284
25.0%
M 284
25.0%
B 284
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5964
84.0%
Latin 1136
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2309
38.7%
2 1344
22.5%
3 924
15.5%
5 612
 
10.3%
4 343
 
5.8%
1 235
 
3.9%
9 73
 
1.2%
8 43
 
0.7%
6 42
 
0.7%
7 39
 
0.7%
Latin
ValueCountFrequency (%)
P 284
25.0%
H 284
25.0%
M 284
25.0%
B 284
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2309
32.5%
2 1344
18.9%
3 924
13.0%
5 612
 
8.6%
4 343
 
4.8%
P 284
 
4.0%
H 284
 
4.0%
M 284
 
4.0%
B 284
 
4.0%
1 235
 
3.3%
Other values (4) 197
 
2.8%
Distinct257
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum1992-10-10 00:00:00
Maximum2024-04-19 00:00:00
2024-04-30T04:55:59.504113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:55:59.617373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing284
Missing (%)100.0%
Memory size2.6 KiB
Distinct5
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
1
129 
3
126 
4
16 
5
 
8
2
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 129
45.4%
3 126
44.4%
4 16
 
5.6%
5 8
 
2.8%
2 5
 
1.8%

Length

2024-04-30T04:55:59.719831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:55:59.807272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 129
45.4%
3 126
44.4%
4 16
 
5.6%
5 8
 
2.8%
2 5
 
1.8%

영업상태명
Categorical

Distinct5
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
영업/정상
129 
폐업
126 
취소/말소/만료/정지/중지
16 
제외/삭제/전출
 
8
휴업
 
5

Length

Max length14
Median length8
Mean length4.2077465
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 129
45.4%
폐업 126
44.4%
취소/말소/만료/정지/중지 16
 
5.6%
제외/삭제/전출 8
 
2.8%
휴업 5
 
1.8%

Length

2024-04-30T04:55:59.900738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:56:00.035977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 129
45.4%
폐업 126
44.4%
취소/말소/만료/정지/중지 16
 
5.6%
제외/삭제/전출 8
 
2.8%
휴업 5
 
1.8%
Distinct5
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
13
129 
3
126 
24
16 
15
 
8
2
 
5

Length

Max length2
Median length2
Mean length1.5387324
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row13
3rd row13
4th row13
5th row3

Common Values

ValueCountFrequency (%)
13 129
45.4%
3 126
44.4%
24 16
 
5.6%
15 8
 
2.8%
2 5
 
1.8%

Length

2024-04-30T04:56:00.162014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:56:00.249435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 129
45.4%
3 126
44.4%
24 16
 
5.6%
15 8
 
2.8%
2 5
 
1.8%
Distinct5
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
영업중
129 
폐업
126 
직권폐업
16 
전출
 
8
휴업
 
5

Length

Max length4
Median length3
Mean length2.5669014
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 129
45.4%
폐업 126
44.4%
직권폐업 16
 
5.6%
전출 8
 
2.8%
휴업 5
 
1.8%

Length

2024-04-30T04:56:00.362437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:56:00.466629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 129
45.4%
폐업 126
44.4%
직권폐업 16
 
5.6%
전출 8
 
2.8%
휴업 5
 
1.8%

폐업일자
Date

MISSING 

Distinct119
Distinct (%)83.8%
Missing142
Missing (%)50.0%
Memory size2.3 KiB
Minimum2009-02-20 00:00:00
Maximum2024-03-15 00:00:00
2024-04-30T04:56:00.565223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:56:00.693220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct5
Distinct (%)100.0%
Missing279
Missing (%)98.2%
Memory size2.3 KiB
Minimum2023-04-28 00:00:00
Maximum2023-12-18 00:00:00
2024-04-30T04:56:00.775157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:56:00.865711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

휴업종료일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing280
Missing (%)98.6%
Memory size2.3 KiB
Minimum2024-04-27 00:00:00
Maximum2043-12-18 00:00:00
2024-04-30T04:56:00.957344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:56:01.035013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing284
Missing (%)100.0%
Memory size2.6 KiB

전화번호
Text

MISSING 

Distinct209
Distinct (%)93.3%
Missing60
Missing (%)21.1%
Memory size2.3 KiB
2024-04-30T04:56:01.253971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.482143
Min length7

Characters and Unicode

Total characters2348
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique194 ?
Unique (%)86.6%

Sample

1st row02-578-7804/5
2nd row529-3325
3rd row02-515-0101
4th row02-575-4765
5th row542-2777
ValueCountFrequency (%)
577-5517 2
 
0.9%
1577-7453 2
 
0.9%
2088-5062 2
 
0.9%
1644-7030 2
 
0.9%
02-2015-0867 2
 
0.9%
02-445-1801 2
 
0.9%
494-9846 2
 
0.9%
555-8001 2
 
0.9%
02-544-5506 2
 
0.9%
2216-4534 2
 
0.9%
Other values (199) 204
91.1%
2024-04-30T04:56:01.606637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 365
15.5%
0 342
14.6%
2 313
13.3%
5 284
12.1%
1 181
7.7%
7 162
6.9%
4 161
6.9%
8 160
6.8%
3 144
 
6.1%
6 140
 
6.0%
Other values (3) 96
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1976
84.2%
Dash Punctuation 365
 
15.5%
Close Punctuation 5
 
0.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 342
17.3%
2 313
15.8%
5 284
14.4%
1 181
9.2%
7 162
8.2%
4 161
8.1%
8 160
8.1%
3 144
7.3%
6 140
7.1%
9 89
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 365
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2348
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 365
15.5%
0 342
14.6%
2 313
13.3%
5 284
12.1%
1 181
7.7%
7 162
6.9%
4 161
6.9%
8 160
6.8%
3 144
 
6.1%
6 140
 
6.0%
Other values (3) 96
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2348
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 365
15.5%
0 342
14.6%
2 313
13.3%
5 284
12.1%
1 181
7.7%
7 162
6.9%
4 161
6.9%
8 160
6.8%
3 144
 
6.1%
6 140
 
6.0%
Other values (3) 96
 
4.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing284
Missing (%)100.0%
Memory size2.6 KiB

소재지우편번호
Text

MISSING 

Distinct74
Distinct (%)64.9%
Missing170
Missing (%)59.9%
Memory size2.3 KiB
2024-04-30T04:56:01.820573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1929825
Min length6

Characters and Unicode

Total characters706
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

Unique56 ?
Unique (%)49.1%

Sample

1st row135-962
2nd row135509
3rd row135-855
4th row135120
5th row135012
ValueCountFrequency (%)
135081 9
 
7.9%
135080 5
 
4.4%
135120 5
 
4.4%
135220 4
 
3.5%
135011 4
 
3.5%
135280 3
 
2.6%
135859 3
 
2.6%
135-962 3
 
2.6%
135961 3
 
2.6%
135231 3
 
2.6%
Other values (64) 72
63.2%
2024-04-30T04:56:02.149363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 169
23.9%
5 135
19.1%
3 124
17.6%
0 62
 
8.8%
8 55
 
7.8%
9 49
 
6.9%
2 44
 
6.2%
- 22
 
3.1%
6 18
 
2.5%
7 15
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 684
96.9%
Dash Punctuation 22
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 169
24.7%
5 135
19.7%
3 124
18.1%
0 62
 
9.1%
8 55
 
8.0%
9 49
 
7.2%
2 44
 
6.4%
6 18
 
2.6%
7 15
 
2.2%
4 13
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 706
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 169
23.9%
5 135
19.1%
3 124
17.6%
0 62
 
8.8%
8 55
 
7.8%
9 49
 
6.9%
2 44
 
6.2%
- 22
 
3.1%
6 18
 
2.5%
7 15
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 706
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 169
23.9%
5 135
19.1%
3 124
17.6%
0 62
 
8.8%
8 55
 
7.8%
9 49
 
6.9%
2 44
 
6.2%
- 22
 
3.1%
6 18
 
2.5%
7 15
 
2.1%

지번주소
Text

MISSING 

Distinct256
Distinct (%)93.1%
Missing9
Missing (%)3.2%
Memory size2.3 KiB
2024-04-30T04:56:02.420981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length35
Mean length26.381818
Min length13

Characters and Unicode

Total characters7255
Distinct characters206
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique237 ?
Unique (%)86.2%

Sample

1st row서울특별시 강남구 개포동 1196-1
2nd row서울특별시 강남구 개포4동 1203번지 6호 대연빌딩 102호
3rd row서울특별시 강남구 논현동 209-9 한국관세사회관
4th row서울특별시 강남구 개포동 1204번지 3호
5th row서울특별시 강남구 삼성2동 116번지 39호 2층
ValueCountFrequency (%)
서울특별시 275
 
18.1%
강남구 275
 
18.1%
역삼동 50
 
3.3%
논현동 29
 
1.9%
개포동 27
 
1.8%
대치동 17
 
1.1%
삼성동 17
 
1.1%
청담동 17
 
1.1%
도곡동 15
 
1.0%
2호 14
 
0.9%
Other values (497) 787
51.7%
2024-04-30T04:56:02.799483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1254
 
17.3%
1 364
 
5.0%
296
 
4.1%
288
 
4.0%
282
 
3.9%
280
 
3.9%
279
 
3.8%
279
 
3.8%
276
 
3.8%
275
 
3.8%
Other values (196) 3382
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4334
59.7%
Decimal Number 1519
 
20.9%
Space Separator 1254
 
17.3%
Dash Punctuation 101
 
1.4%
Uppercase Letter 40
 
0.6%
Other Punctuation 5
 
0.1%
Lowercase Letter 1
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
296
 
6.8%
288
 
6.6%
282
 
6.5%
280
 
6.5%
279
 
6.4%
279
 
6.4%
276
 
6.4%
275
 
6.3%
275
 
6.3%
207
 
4.8%
Other values (167) 1597
36.8%
Uppercase Letter
ValueCountFrequency (%)
B 8
20.0%
T 6
15.0%
A 4
10.0%
E 4
10.0%
O 3
 
7.5%
S 3
 
7.5%
K 2
 
5.0%
D 2
 
5.0%
W 2
 
5.0%
R 2
 
5.0%
Other values (4) 4
10.0%
Decimal Number
ValueCountFrequency (%)
1 364
24.0%
2 220
14.5%
3 151
9.9%
4 138
 
9.1%
0 129
 
8.5%
6 125
 
8.2%
8 103
 
6.8%
7 101
 
6.6%
9 99
 
6.5%
5 89
 
5.9%
Space Separator
ValueCountFrequency (%)
1254
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 101
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4334
59.7%
Common 2879
39.7%
Latin 42
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
296
 
6.8%
288
 
6.6%
282
 
6.5%
280
 
6.5%
279
 
6.4%
279
 
6.4%
276
 
6.4%
275
 
6.3%
275
 
6.3%
207
 
4.8%
Other values (167) 1597
36.8%
Latin
ValueCountFrequency (%)
B 8
19.0%
T 6
14.3%
A 4
9.5%
E 4
9.5%
O 3
 
7.1%
S 3
 
7.1%
K 2
 
4.8%
D 2
 
4.8%
W 2
 
4.8%
R 2
 
4.8%
Other values (6) 6
14.3%
Common
ValueCountFrequency (%)
1254
43.6%
1 364
 
12.6%
2 220
 
7.6%
3 151
 
5.2%
4 138
 
4.8%
0 129
 
4.5%
6 125
 
4.3%
8 103
 
3.6%
- 101
 
3.5%
7 101
 
3.5%
Other values (3) 193
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4334
59.7%
ASCII 2920
40.2%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1254
42.9%
1 364
 
12.5%
2 220
 
7.5%
3 151
 
5.2%
4 138
 
4.7%
0 129
 
4.4%
6 125
 
4.3%
8 103
 
3.5%
- 101
 
3.5%
7 101
 
3.5%
Other values (18) 234
 
8.0%
Hangul
ValueCountFrequency (%)
296
 
6.8%
288
 
6.6%
282
 
6.5%
280
 
6.5%
279
 
6.4%
279
 
6.4%
276
 
6.4%
275
 
6.3%
275
 
6.3%
207
 
4.8%
Other values (167) 1597
36.8%
Number Forms
ValueCountFrequency (%)
1
100.0%

도로명주소
Text

MISSING 

Distinct261
Distinct (%)96.3%
Missing13
Missing (%)4.6%
Memory size2.3 KiB
2024-04-30T04:56:03.087320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length42
Mean length33.745387
Min length23

Characters and Unicode

Total characters9145
Distinct characters224
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique251 ?
Unique (%)92.6%

Sample

1st row서울특별시 강남구 논현로12길 19-7, 201호 (개포동)
2nd row서울특별시 강남구 개포로28길 32 (개포동,대연빌딩 102호)
3rd row서울특별시 강남구 언주로129길 20, 한국관세사회관 지하2층 (논현동)
4th row서울특별시 강남구 개포로28길 24-3, 지하1층 (개포동)
5th row서울특별시 강남구 봉은사로74길 20 (삼성동,2층)
ValueCountFrequency (%)
서울특별시 271
 
15.3%
강남구 269
 
15.2%
역삼동 53
 
3.0%
논현동 35
 
2.0%
개포동 31
 
1.8%
2층 30
 
1.7%
삼성동 22
 
1.2%
4층 22
 
1.2%
3층 17
 
1.0%
대치동 16
 
0.9%
Other values (560) 1004
56.7%
2024-04-30T04:56:03.493986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1499
 
16.4%
1 337
 
3.7%
325
 
3.6%
294
 
3.2%
291
 
3.2%
284
 
3.1%
277
 
3.0%
274
 
3.0%
273
 
3.0%
272
 
3.0%
Other values (214) 5019
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5172
56.6%
Decimal Number 1571
 
17.2%
Space Separator 1499
 
16.4%
Open Punctuation 271
 
3.0%
Close Punctuation 271
 
3.0%
Other Punctuation 269
 
2.9%
Uppercase Letter 50
 
0.5%
Dash Punctuation 39
 
0.4%
Lowercase Letter 2
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
325
 
6.3%
294
 
5.7%
291
 
5.6%
284
 
5.5%
277
 
5.4%
274
 
5.3%
273
 
5.3%
272
 
5.3%
271
 
5.2%
271
 
5.2%
Other values (182) 2340
45.2%
Uppercase Letter
ValueCountFrequency (%)
B 13
26.0%
T 7
14.0%
A 5
 
10.0%
E 4
 
8.0%
K 3
 
6.0%
S 3
 
6.0%
O 3
 
6.0%
R 2
 
4.0%
G 2
 
4.0%
W 2
 
4.0%
Other values (5) 6
12.0%
Decimal Number
ValueCountFrequency (%)
1 337
21.5%
2 264
16.8%
0 171
10.9%
3 154
9.8%
4 149
9.5%
5 143
9.1%
6 114
 
7.3%
8 106
 
6.7%
7 75
 
4.8%
9 58
 
3.7%
Space Separator
ValueCountFrequency (%)
1499
100.0%
Open Punctuation
ValueCountFrequency (%)
( 271
100.0%
Close Punctuation
ValueCountFrequency (%)
) 271
100.0%
Other Punctuation
ValueCountFrequency (%)
, 269
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 2
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5172
56.6%
Common 3920
42.9%
Latin 53
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
325
 
6.3%
294
 
5.7%
291
 
5.6%
284
 
5.5%
277
 
5.4%
274
 
5.3%
273
 
5.3%
272
 
5.3%
271
 
5.2%
271
 
5.2%
Other values (182) 2340
45.2%
Latin
ValueCountFrequency (%)
B 13
24.5%
T 7
13.2%
A 5
 
9.4%
E 4
 
7.5%
K 3
 
5.7%
S 3
 
5.7%
O 3
 
5.7%
R 2
 
3.8%
G 2
 
3.8%
b 2
 
3.8%
Other values (7) 9
17.0%
Common
ValueCountFrequency (%)
1499
38.2%
1 337
 
8.6%
( 271
 
6.9%
) 271
 
6.9%
, 269
 
6.9%
2 264
 
6.7%
0 171
 
4.4%
3 154
 
3.9%
4 149
 
3.8%
5 143
 
3.6%
Other values (5) 392
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5172
56.6%
ASCII 3972
43.4%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1499
37.7%
1 337
 
8.5%
( 271
 
6.8%
) 271
 
6.8%
, 269
 
6.8%
2 264
 
6.6%
0 171
 
4.3%
3 154
 
3.9%
4 149
 
3.8%
5 143
 
3.6%
Other values (21) 444
 
11.2%
Hangul
ValueCountFrequency (%)
325
 
6.3%
294
 
5.7%
291
 
5.6%
284
 
5.5%
277
 
5.4%
274
 
5.3%
273
 
5.3%
272
 
5.3%
271
 
5.2%
271
 
5.2%
Other values (182) 2340
45.2%
Number Forms
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Text

MISSING 

Distinct124
Distinct (%)62.0%
Missing84
Missing (%)29.6%
Memory size2.3 KiB
2024-04-30T04:56:03.766602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.06
Min length5

Characters and Unicode

Total characters1012
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

Unique74 ?
Unique (%)37.0%

Sample

1st row06312
2nd row06104
3rd row06308
4th row06300
5th row135865
ValueCountFrequency (%)
06339 6
 
3.0%
06109 5
 
2.5%
06052 4
 
2.0%
06075 4
 
2.0%
06212 4
 
2.0%
06265 4
 
2.0%
06105 4
 
2.0%
06312 4
 
2.0%
06168 3
 
1.5%
06307 3
 
1.5%
Other values (114) 159
79.5%
2024-04-30T04:56:04.149031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 276
27.3%
6 222
21.9%
1 106
 
10.5%
3 104
 
10.3%
2 94
 
9.3%
5 61
 
6.0%
9 45
 
4.4%
7 37
 
3.7%
4 36
 
3.6%
8 28
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1009
99.7%
Dash Punctuation 3
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 276
27.4%
6 222
22.0%
1 106
 
10.5%
3 104
 
10.3%
2 94
 
9.3%
5 61
 
6.0%
9 45
 
4.5%
7 37
 
3.7%
4 36
 
3.6%
8 28
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1012
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 276
27.3%
6 222
21.9%
1 106
 
10.5%
3 104
 
10.3%
2 94
 
9.3%
5 61
 
6.0%
9 45
 
4.4%
7 37
 
3.7%
4 36
 
3.6%
8 28
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1012
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 276
27.3%
6 222
21.9%
1 106
 
10.5%
3 104
 
10.3%
2 94
 
9.3%
5 61
 
6.0%
9 45
 
4.4%
7 37
 
3.7%
4 36
 
3.6%
8 28
 
2.8%
Distinct265
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-04-30T04:56:04.384480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length15
Mean length7.6690141
Min length2

Characters and Unicode

Total characters2178
Distinct characters313
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

Unique246 ?
Unique (%)86.6%

Sample

1st row신한환경
2nd row성아환경개발(주)
3rd row(주)원일개발
4th row미래환경
5th row경림개발(주)
ValueCountFrequency (%)
주식회사 40
 
11.3%
사단법인 3
 
0.8%
주)달마 2
 
0.6%
주)스위셔코리아 2
 
0.6%
주)다림엔지니어링 2
 
0.6%
나누리 2
 
0.6%
그린f5 2
 
0.6%
새마을운동강남구지회 2
 
0.6%
주)지에스비 2
 
0.6%
주)월드와이드써비스코리아 2
 
0.6%
Other values (281) 294
83.3%
2024-04-30T04:56:04.740108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
179
 
8.2%
( 136
 
6.2%
) 136
 
6.2%
105
 
4.8%
69
 
3.2%
61
 
2.8%
58
 
2.7%
51
 
2.3%
49
 
2.2%
42
 
1.9%
Other values (303) 1292
59.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1765
81.0%
Open Punctuation 136
 
6.2%
Close Punctuation 136
 
6.2%
Space Separator 69
 
3.2%
Other Symbol 26
 
1.2%
Uppercase Letter 25
 
1.1%
Lowercase Letter 12
 
0.6%
Other Punctuation 5
 
0.2%
Decimal Number 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
179
 
10.1%
105
 
5.9%
61
 
3.5%
58
 
3.3%
51
 
2.9%
49
 
2.8%
42
 
2.4%
28
 
1.6%
26
 
1.5%
24
 
1.4%
Other values (269) 1142
64.7%
Uppercase Letter
ValueCountFrequency (%)
M 5
20.0%
B 4
16.0%
C 3
12.0%
F 3
12.0%
S 2
 
8.0%
D 1
 
4.0%
L 1
 
4.0%
K 1
 
4.0%
Y 1
 
4.0%
I 1
 
4.0%
Other values (3) 3
12.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
16.7%
b 1
8.3%
n 1
8.3%
c 1
8.3%
x 1
8.3%
o 1
8.3%
v 1
8.3%
r 1
8.3%
a 1
8.3%
t 1
8.3%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
, 1
 
20.0%
& 1
 
20.0%
Decimal Number
ValueCountFrequency (%)
5 2
50.0%
4 1
25.0%
2 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 136
100.0%
Close Punctuation
ValueCountFrequency (%)
) 136
100.0%
Space Separator
ValueCountFrequency (%)
69
100.0%
Other Symbol
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1791
82.2%
Common 350
 
16.1%
Latin 37
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
179
 
10.0%
105
 
5.9%
61
 
3.4%
58
 
3.2%
51
 
2.8%
49
 
2.7%
42
 
2.3%
28
 
1.6%
26
 
1.5%
26
 
1.5%
Other values (270) 1166
65.1%
Latin
ValueCountFrequency (%)
M 5
 
13.5%
B 4
 
10.8%
C 3
 
8.1%
F 3
 
8.1%
S 2
 
5.4%
e 2
 
5.4%
b 1
 
2.7%
n 1
 
2.7%
c 1
 
2.7%
x 1
 
2.7%
Other values (14) 14
37.8%
Common
ValueCountFrequency (%)
( 136
38.9%
) 136
38.9%
69
19.7%
. 3
 
0.9%
5 2
 
0.6%
4 1
 
0.3%
2 1
 
0.3%
, 1
 
0.3%
& 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1765
81.0%
ASCII 387
 
17.8%
None 26
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
179
 
10.1%
105
 
5.9%
61
 
3.5%
58
 
3.3%
51
 
2.9%
49
 
2.8%
42
 
2.4%
28
 
1.6%
26
 
1.5%
24
 
1.4%
Other values (269) 1142
64.7%
ASCII
ValueCountFrequency (%)
( 136
35.1%
) 136
35.1%
69
17.8%
M 5
 
1.3%
B 4
 
1.0%
. 3
 
0.8%
C 3
 
0.8%
F 3
 
0.8%
S 2
 
0.5%
5 2
 
0.5%
Other values (23) 24
 
6.2%
None
ValueCountFrequency (%)
26
100.0%

최종수정일자
Date

UNIQUE 

Distinct284
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum2009-02-20 15:07:40
Maximum2024-04-24 16:15:44
2024-04-30T04:56:04.877158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:56:04.991987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
U
166 
I
117 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
U 166
58.5%
I 117
41.2%
D 1
 
0.4%

Length

2024-04-30T04:56:05.087229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:56:05.354009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 166
58.5%
i 117
41.2%
d 1
 
0.4%
Distinct122
Distinct (%)43.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 22:06:00
2024-04-30T04:56:05.437352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:56:05.546859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing284
Missing (%)100.0%
Memory size2.6 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct225
Distinct (%)83.3%
Missing14
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean204328.46
Minimum200727.25
Maximum209423.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-30T04:56:05.663986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200727.25
5-th percentile202030.71
Q1202979.42
median204037.05
Q3205034.16
95-th percentile208679.64
Maximum209423.65
Range8696.3981
Interquartile range (IQR)2054.7336

Descriptive statistics

Standard deviation1799.6231
Coefficient of variation (CV)0.008807501
Kurtosis1.0058838
Mean204328.46
Median Absolute Deviation (MAD)1052.6261
Skewness1.1217296
Sum55168683
Variance3238643.3
MonotonicityNot monotonic
2024-04-30T04:56:05.788365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205415.444303848 5
 
1.8%
202916.597438326 3
 
1.1%
209144.783150288 3
 
1.1%
203975.581673876 2
 
0.7%
204693.621485994 2
 
0.7%
207914.471699463 2
 
0.7%
201667.786866215 2
 
0.7%
202883.2724367 2
 
0.7%
205677.522476464 2
 
0.7%
201872.403440328 2
 
0.7%
Other values (215) 245
86.3%
(Missing) 14
 
4.9%
ValueCountFrequency (%)
200727.25125512 1
0.4%
201646.385389914 2
0.7%
201667.786866215 2
0.7%
201758.189261096 1
0.4%
201760.731993253 1
0.4%
201782.10122745 1
0.4%
201870.175243184 1
0.4%
201872.403440328 2
0.7%
201895.88177805 1
0.4%
201903.695735482 1
0.4%
ValueCountFrequency (%)
209423.649311203 1
 
0.4%
209384.708472884 1
 
0.4%
209205.687910519 1
 
0.4%
209144.783150288 3
1.1%
209090.360365095 1
 
0.4%
209055.480464368 2
0.7%
209038.198426983 2
0.7%
208937.760652081 1
 
0.4%
208776.558176519 1
 
0.4%
208679.63646503 2
0.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct225
Distinct (%)83.3%
Missing14
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean444255.32
Minimum440208.56
Maximum450675.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-30T04:56:05.905024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440208.56
5-th percentile441428
Q1442951.28
median444552.12
Q3445630.53
95-th percentile446735.03
Maximum450675.27
Range10466.708
Interquartile range (IQR)2679.2499

Descriptive statistics

Standard deviation1691.5778
Coefficient of variation (CV)0.0038076703
Kurtosis-0.31587159
Mean444255.32
Median Absolute Deviation (MAD)1306.4593
Skewness-0.062279703
Sum1.1994894 × 108
Variance2861435.4
MonotonicityNot monotonic
2024-04-30T04:56:06.014807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442363.680159598 5
 
1.8%
442790.75055832 3
 
1.1%
442922.611326787 3
 
1.1%
445436.018491269 2
 
0.7%
444582.627095714 2
 
0.7%
443385.050640776 2
 
0.7%
446941.563339336 2
 
0.7%
443045.729096198 2
 
0.7%
444555.644453973 2
 
0.7%
445952.75898316 2
 
0.7%
Other values (215) 245
86.3%
(Missing) 14
 
4.9%
ValueCountFrequency (%)
440208.558412381 1
0.4%
440642.926750949 1
0.4%
440701.115748256 1
0.4%
441163.795720684 2
0.7%
441204.99665215 1
0.4%
441217.281583585 1
0.4%
441271.578531333 1
0.4%
441349.385 1
0.4%
441361.783914263 2
0.7%
441369.75907064 2
0.7%
ValueCountFrequency (%)
450675.266315752 1
0.4%
447203.840033348 1
0.4%
447045.606854141 1
0.4%
447003.101793554 1
0.4%
446941.563339336 2
0.7%
446914.762894603 1
0.4%
446816.401733294 1
0.4%
446773.705671189 1
0.4%
446768.071130334 1
0.4%
446760.802619735 1
0.4%

사무실면적
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)94.7%
Missing246
Missing (%)86.6%
Infinite0
Infinite (%)0.0%
Mean100.94316
Minimum0
Maximum1151.7
Zeros1
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-30T04:56:06.124727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.415
Q124.78
median57.46
Q3100.35
95-th percentile208.5445
Maximum1151.7
Range1151.7
Interquartile range (IQR)75.57

Descriptive statistics

Standard deviation185.64167
Coefficient of variation (CV)1.8390714
Kurtosis29.401883
Mean100.94316
Median Absolute Deviation (MAD)36.645
Skewness5.1549786
Sum3835.84
Variance34462.83
MonotonicityNot monotonic
2024-04-30T04:56:06.232186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
30.0 2
 
0.7%
19.8 2
 
0.7%
6.61 1
 
0.4%
11.55 1
 
0.4%
118.65 1
 
0.4%
165.0 1
 
0.4%
33.05 1
 
0.4%
10.0 1
 
0.4%
67.9 1
 
0.4%
219.96 1
 
0.4%
Other values (26) 26
 
9.2%
(Missing) 246
86.6%
ValueCountFrequency (%)
0.0 1
0.4%
6.61 1
0.4%
9.91 1
0.4%
10.0 1
0.4%
11.55 1
0.4%
19.8 2
0.7%
20.0 1
0.4%
22.5 1
0.4%
23.14 1
0.4%
29.7 1
0.4%
ValueCountFrequency (%)
1151.7 1
0.4%
219.96 1
0.4%
206.53 1
0.4%
196.0 1
0.4%
190.0 1
0.4%
175.9 1
0.4%
165.0 1
0.4%
123.0 1
0.4%
118.65 1
0.4%
100.8 1
0.4%

소독차량차고면적
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)86.8%
Missing246
Missing (%)86.6%
Infinite0
Infinite (%)0.0%
Mean13.896316
Minimum0
Maximum46.9
Zeros1
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-30T04:56:06.331010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.41
Q16.525
median10
Q318.85
95-th percentile39.0475
Maximum46.9
Range46.9
Interquartile range (IQR)12.325

Descriptive statistics

Standard deviation10.927898
Coefficient of variation (CV)0.78638814
Kurtosis1.8136676
Mean13.896316
Median Absolute Deviation (MAD)4.025
Skewness1.4769007
Sum528.06
Variance119.41895
MonotonicityNot monotonic
2024-04-30T04:56:06.423485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
10.0 2
 
0.7%
15.0 2
 
0.7%
6.0 2
 
0.7%
13.2 2
 
0.7%
6.6 2
 
0.7%
2.9 1
 
0.4%
3.5 1
 
0.4%
4.0 1
 
0.4%
23.14 1
 
0.4%
6.5 1
 
0.4%
Other values (23) 23
 
8.1%
(Missing) 246
86.6%
ValueCountFrequency (%)
0.0 1
0.4%
2.9 1
0.4%
3.5 1
0.4%
4.0 1
0.4%
4.5 1
0.4%
5.95 1
0.4%
6.0 2
0.7%
6.25 1
0.4%
6.5 1
0.4%
6.6 2
0.7%
ValueCountFrequency (%)
46.9 1
0.4%
39.6 1
0.4%
38.95 1
0.4%
30.0 1
0.4%
29.7 1
0.4%
23.14 1
0.4%
22.0 1
0.4%
21.0 1
0.4%
20.0 1
0.4%
19.8 1
0.4%
Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
<NA>
162 
1
120 
2
 
1
3
 
1

Length

Max length4
Median length4
Mean length2.7112676
Min length1

Unique

Unique2 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 162
57.0%
1 120
42.3%
2 1
 
0.4%
3 1
 
0.4%

Length

2024-04-30T04:56:06.527167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:56:06.630576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 162
57.0%
1 120
42.3%
2 1
 
0.4%
3 1
 
0.4%
Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
<NA>
162 
2
120 
3
 
1
4
 
1

Length

Max length4
Median length4
Mean length2.7112676
Min length1

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row2

Common Values

ValueCountFrequency (%)
<NA> 162
57.0%
2 120
42.3%
3 1
 
0.4%
4 1
 
0.4%

Length

2024-04-30T04:56:06.725843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:56:06.823406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 162
57.0%
2 120
42.3%
3 1
 
0.4%
4 1
 
0.4%
Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
<NA>
162 
1
95 
0
27 

Length

Max length4
Median length4
Mean length2.7112676
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 162
57.0%
1 95
33.5%
0 27
 
9.5%

Length

2024-04-30T04:56:06.941195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:56:07.030608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 162
57.0%
1 95
33.5%
0 27
 
9.5%
Distinct5
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
<NA>
162 
5
93 
3
27 
7
 
1
4
 
1

Length

Max length4
Median length4
Mean length2.7112676
Min length1

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row5

Common Values

ValueCountFrequency (%)
<NA> 162
57.0%
5 93
32.7%
3 27
 
9.5%
7 1
 
0.4%
4 1
 
0.4%

Length

2024-04-30T04:56:07.131968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:56:07.227890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 162
57.0%
5 93
32.7%
3 27
 
9.5%
7 1
 
0.4%
4 1
 
0.4%

방독면수
Categorical

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
<NA>
162 
5
120 
7
 
2

Length

Max length4
Median length4
Mean length2.7112676
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row5

Common Values

ValueCountFrequency (%)
<NA> 162
57.0%
5 120
42.3%
7 2
 
0.7%

Length

2024-04-30T04:56:07.323205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:56:07.407717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 162
57.0%
5 120
42.3%
7 2
 
0.7%

보호안경수
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
<NA>
162 
5
122 

Length

Max length4
Median length4
Mean length2.7112676
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row5

Common Values

ValueCountFrequency (%)
<NA> 162
57.0%
5 122
43.0%

Length

2024-04-30T04:56:07.498078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:56:07.582879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 162
57.0%
5 122
43.0%
Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
<NA>
162 
5
122 

Length

Max length4
Median length4
Mean length2.7112676
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row5

Common Values

ValueCountFrequency (%)
<NA> 162
57.0%
5 122
43.0%

Length

2024-04-30T04:56:07.680430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:56:07.772753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 162
57.0%
5 122
43.0%
Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
<NA>
162 
1
120 
2
 
2

Length

Max length4
Median length4
Mean length2.7112676
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 162
57.0%
1 120
42.3%
2 2
 
0.7%

Length

2024-04-30T04:56:08.068517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:56:08.339421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 162
57.0%
1 120
42.3%
2 2
 
0.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)사무실면적소독차량차고면적초미립자살포기수휴대용소독기수동력분무기수수동식분무기수방독면수보호안경수보호용의복수진공청소기수
03220000PHMB5199232200330425000011992-10-10<NA>1영업/정상13영업중<NA><NA><NA><NA>02-578-7804/5<NA><NA>서울특별시 강남구 개포동 1196-1서울특별시 강남구 논현로12길 19-7, 201호 (개포동)06312신한환경2024-02-15 09:41:04U2023-12-01 23:07:00.0<NA>204243.783331441455.094988<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13220000PHMB5199432200330425000011994-09-02<NA>1영업/정상13영업중<NA><NA><NA><NA>529-3325<NA>135-962서울특별시 강남구 개포4동 1203번지 6호 대연빌딩 102호서울특별시 강남구 개포로28길 32 (개포동,대연빌딩 102호)<NA>성아환경개발(주)2023-02-09 13:59:33U2022-12-01 23:01:00.0<NA>204400.603896441664.551028<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23220000PHMB5199432200330425000021994-03-18<NA>1영업/정상13영업중<NA><NA><NA><NA>02-515-0101<NA><NA>서울특별시 강남구 논현동 209-9 한국관세사회관서울특별시 강남구 언주로129길 20, 한국관세사회관 지하2층 (논현동)06104(주)원일개발2023-09-22 15:35:43U2022-12-08 22:04:00.0<NA>202896.024836445780.809841<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33220000PHMB5199432200330425000031994-12-20<NA>1영업/정상13영업중<NA><NA><NA><NA>02-575-4765<NA><NA>서울특별시 강남구 개포동 1204번지 3호서울특별시 강남구 개포로28길 24-3, 지하1층 (개포동)06308미래환경2023-03-15 09:27:15U2022-12-02 23:07:00.0<NA>204364.578347441690.869619<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43220000PHMB51997322003304250000119970122<NA>3폐업3폐업20131120<NA><NA><NA>542-2777<NA>135509서울특별시 강남구 삼성2동 116번지 39호 2층서울특별시 강남구 봉은사로74길 20 (삼성동,2층)<NA>경림개발(주)2013-11-20 15:24:32I2018-08-31 23:59:59.0<NA>204532.258495445445.47363156.89.912155551
53220000PHMB5199732200330425000021997-11-14<NA>1영업/정상13영업중<NA><NA><NA><NA>02-573-0028<NA>135-855서울특별시 강남구 도곡동 422번지 1호 경보빌딩 지하 102호서울특별시 강남구 논현로28길 50 (도곡동)06300(주)광성환경방제2024-02-15 13:37:39U2023-12-01 23:07:00.0<NA>203988.660879442467.998108<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63220000PHMB51998322003304250000119980529<NA>3폐업3폐업20090220<NA><NA><NA><NA><NA>135120서울특별시 강남구 신사동<NA><NA>(주)리빙크린2009-02-20 15:07:40I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA>12155551
73220000PHMB51998322003304250000219980908<NA>3폐업3폐업20121119<NA><NA><NA><NA><NA>135012서울특별시 강남구 논현2동 105번지 동현상가 2층서울특별시 강남구 언주로146길 18 (논현동,동현상가 2층)<NA>DFMS(주)2012-11-19 14:34:46I2018-08-31 23:59:59.0<NA>203163.691675446347.494886<NA><NA>12155551
83220000PHMB51999322003304250000219990128<NA>5제외/삭제/전출15전출<NA><NA><NA><NA>2188-8761<NA>135936서울특별시 강남구 역삼동 831번지 11호서울특별시 강남구 강남대로 338 (역삼동)<NA>(주)동명엔터프라이즈2022-06-10 09:24:54U2021-12-05 23:02:00.0<NA>202631.163195443511.186979<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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