Overview

Dataset statistics

Number of variables21
Number of observations90
Missing cells840
Missing cells (%)44.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.9 KiB
Average record size in memory181.5 B

Variable types

Categorical3
Text5
DateTime2
Unsupported5
Numeric6

Dataset

Description의료기관 세탁물 처리업체 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=E7Q900ID30P6CR7VZPK3181551&infSeq=1

Alerts

영업상태구분코드 is highly imbalanced (64.6%)Imbalance
인허가취소일자 has 90 (100.0%) missing valuesMissing
폐업일자 has 71 (78.9%) missing valuesMissing
소재지시설전화번호 has 80 (88.9%) missing valuesMissing
소재지면적정보 has 90 (100.0%) missing valuesMissing
도로명우편번호 has 77 (85.6%) missing valuesMissing
소재지도로명주소 has 2 (2.2%) missing valuesMissing
WGS84위도 has 3 (3.3%) missing valuesMissing
WGS84경도 has 3 (3.3%) missing valuesMissing
업태구분명정보 has 90 (100.0%) missing valuesMissing
X좌표값 has 77 (85.6%) missing valuesMissing
Y좌표값 has 77 (85.6%) missing valuesMissing
수리대상유형정보 has 90 (100.0%) missing valuesMissing
다른 겸업 여부 has 90 (100.0%) missing valuesMissing
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수리대상유형정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
다른 겸업 여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 21:08:21.394168
Analysis finished2023-12-10 21:08:21.753368
Duration0.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct18
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size852.0 B
파주시
18 
김포시
14 
부천시
10 
용인시
10 
평택시
9 
Other values (13)
29 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique5 ?
Unique (%)5.6%

Sample

1st row고양시
2nd row고양시
3rd row고양시
4th row광주시
5th row광주시

Common Values

ValueCountFrequency (%)
파주시 18
20.0%
김포시 14
15.6%
부천시 10
11.1%
용인시 10
11.1%
평택시 9
10.0%
안성시 6
 
6.7%
포천시 3
 
3.3%
화성시 3
 
3.3%
광주시 3
 
3.3%
고양시 3
 
3.3%
Other values (8) 11
12.2%

Length

2023-12-11T06:08:21.806269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
파주시 18
20.0%
김포시 14
15.6%
부천시 10
11.1%
용인시 10
11.1%
평택시 9
10.0%
안성시 6
 
6.7%
광주시 3
 
3.3%
고양시 3
 
3.3%
화성시 3
 
3.3%
포천시 3
 
3.3%
Other values (8) 11
12.2%

사업장명
Text

Distinct78
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size852.0 B
2023-12-11T06:08:22.031220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length14
Mean length6.1777778
Min length2

Characters and Unicode

Total characters556
Distinct characters140
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

Unique67 ?
Unique (%)74.4%

Sample

1st row(주)뉴덕흥기업
2nd row(주)린텍스기업
3rd row탁앤탁
4th row크린케어
5th row크린케어
ValueCountFrequency (%)
주식회사 4
 
4.0%
메디클린 3
 
3.0%
린텍스기업주식회사 3
 
3.0%
봉황기업 2
 
2.0%
모던 2
 
2.0%
제2공장 2
 
2.0%
주)신우성 2
 
2.0%
수진기업 2
 
2.0%
주)크린토피아 2
 
2.0%
크린케어 2
 
2.0%
Other values (72) 76
76.0%
2023-12-11T06:08:22.378491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 30
 
5.4%
주 28
 
5.0%
린 27
 
4.9%
) 24
 
4.3%
( 24
 
4.3%
기 19
 
3.4%
크 14
 
2.5%
사 12
 
2.2%
성 11
 
2.0%
10
 
1.8%
Other values (130) 357
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 469
84.4%
Close Punctuation 24
 
4.3%
Open Punctuation 24
 
4.3%
Decimal Number 17
 
3.1%
Uppercase Letter 11
 
2.0%
Space Separator 10
 
1.8%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 30
 
6.4%
주 28
 
6.0%
린 27
 
5.8%
기 19
 
4.1%
크 14
 
3.0%
사 12
 
2.6%
성 11
 
2.3%
산 10
 
2.1%
이 10
 
2.1%
스 10
 
2.1%
Other values (114) 298
63.5%
Decimal Number
ValueCountFrequency (%)
2 5
29.4%
1 5
29.4%
4 3
17.6%
9 2
 
11.8%
0 1
 
5.9%
8 1
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
H 3
27.3%
L 2
18.2%
T 2
18.2%
C 2
18.2%
N 1
 
9.1%
M 1
 
9.1%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 469
84.4%
Common 76
 
13.7%
Latin 11
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 30
 
6.4%
주 28
 
6.0%
린 27
 
5.8%
기 19
 
4.1%
크 14
 
3.0%
사 12
 
2.6%
성 11
 
2.3%
산 10
 
2.1%
이 10
 
2.1%
스 10
 
2.1%
Other values (114) 298
63.5%
Common
ValueCountFrequency (%)
) 24
31.6%
( 24
31.6%
10
13.2%
2 5
 
6.6%
1 5
 
6.6%
4 3
 
3.9%
9 2
 
2.6%
- 1
 
1.3%
0 1
 
1.3%
8 1
 
1.3%
Latin
ValueCountFrequency (%)
H 3
27.3%
L 2
18.2%
T 2
18.2%
C 2
18.2%
N 1
 
9.1%
M 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 469
84.4%
ASCII 87
 
15.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 30
 
6.4%
주 28
 
6.0%
린 27
 
5.8%
기 19
 
4.1%
크 14
 
3.0%
사 12
 
2.6%
성 11
 
2.3%
산 10
 
2.1%
이 10
 
2.1%
스 10
 
2.1%
Other values (114) 298
63.5%
ASCII
ValueCountFrequency (%)
) 24
27.6%
( 24
27.6%
10
11.5%
2 5
 
5.7%
1 5
 
5.7%
4 3
 
3.4%
H 3
 
3.4%
L 2
 
2.3%
T 2
 
2.3%
9 2
 
2.3%
Other values (6) 7
 
8.0%

인허가일자
Date

Distinct77
Distinct (%)85.6%
Missing0
Missing (%)0.0%
Memory size852.0 B
Minimum1991-09-12 00:00:00
Maximum2023-06-12 00:00:00
2023-12-11T06:08:22.532712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:22.682618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size852.0 B
<NA>
77 
13
11 
24
 
1
3
 
1

Length

Max length4
Median length4
Mean length3.7
Min length1

Unique

Unique2 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 77
85.6%
13 11
 
12.2%
24 1
 
1.1%
3 1
 
1.1%

Length

2023-12-11T06:08:22.826014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:08:22.946918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 77
85.6%
13 11
 
12.2%
24 1
 
1.1%
3 1
 
1.1%

영업상태명
Categorical

Distinct6
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size852.0 B
운영중
52 
폐업 등
23 
영업중
11 
휴업 등
 
2
직권폐업
 
1

Length

Max length4
Median length3
Mean length3.2777778
Min length2

Unique

Unique2 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 52
57.8%
폐업 등 23
25.6%
영업중 11
 
12.2%
휴업 등 2
 
2.2%
직권폐업 1
 
1.1%
폐업 1
 
1.1%

Length

2023-12-11T06:08:23.062131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:08:23.174256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 52
45.2%
등 25
21.7%
폐업 24
20.9%
영업중 11
 
9.6%
휴업 2
 
1.7%
직권폐업 1
 
0.9%

폐업일자
Date

MISSING 

Distinct19
Distinct (%)100.0%
Missing71
Missing (%)78.9%
Memory size852.0 B
Minimum2009-01-14 00:00:00
Maximum2023-01-02 00:00:00
2023-12-11T06:08:23.265449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:08:23.355202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

소재지시설전화번호
Text

MISSING 

Distinct10
Distinct (%)100.0%
Missing80
Missing (%)88.9%
Memory size852.0 B
2023-12-11T06:08:23.508074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.6
Min length8

Characters and Unicode

Total characters116
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

Unique10 ?
Unique (%)100.0%

Sample

1st row031-981-4810
2nd row031-984-6605
3rd row032-672-1797
4th row031-291-1706
5th row031-674-9771
ValueCountFrequency (%)
031-981-4810 1
10.0%
031-984-6605 1
10.0%
032-672-1797 1
10.0%
031-291-1706 1
10.0%
031-674-9771 1
10.0%
031-658-4414 1
10.0%
031-335-5777 1
10.0%
031-336-3220 1
10.0%
031-946-0666 1
10.0%
959-9934 1
10.0%
2023-12-11T06:08:23.809339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 19
16.4%
3 15
12.9%
1 15
12.9%
0 14
12.1%
6 11
9.5%
9 10
8.6%
7 10
8.6%
4 8
6.9%
5 5
 
4.3%
2 5
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 97
83.6%
Dash Punctuation 19
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 15
15.5%
1 15
15.5%
0 14
14.4%
6 11
11.3%
9 10
10.3%
7 10
10.3%
4 8
8.2%
5 5
 
5.2%
2 5
 
5.2%
8 4
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 116
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 19
16.4%
3 15
12.9%
1 15
12.9%
0 14
12.1%
6 11
9.5%
9 10
8.6%
7 10
8.6%
4 8
6.9%
5 5
 
4.3%
2 5
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 116
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 19
16.4%
3 15
12.9%
1 15
12.9%
0 14
12.1%
6 11
9.5%
9 10
8.6%
7 10
8.6%
4 8
6.9%
5 5
 
4.3%
2 5
 
4.3%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

도로명우편번호
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing77
Missing (%)85.6%
Infinite0
Infinite (%)0.0%
Mean14525.308
Minimum10003
Maximum17998
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size942.0 B
2023-12-11T06:08:23.940467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10003
5-th percentile10007.2
Q110828
median16617
Q317551
95-th percentile17857
Maximum17998
Range7995
Interquartile range (IQR)6723

Descriptive statistics

Standard deviation3423.902
Coefficient of variation (CV)0.23571976
Kurtosis-1.9935247
Mean14525.308
Median Absolute Deviation (MAD)1381
Skewness-0.38785613
Sum188829
Variance11723105
MonotonicityNot monotonic
2023-12-11T06:08:24.047030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
10003 1
 
1.1%
10010 1
 
1.1%
14521 1
 
1.1%
16617 1
 
1.1%
17595 1
 
1.1%
17551 1
 
1.1%
17123 1
 
1.1%
17134 1
 
1.1%
10828 1
 
1.1%
10860 1
 
1.1%
Other values (3) 3
 
3.3%
(Missing) 77
85.6%
ValueCountFrequency (%)
10003 1
1.1%
10010 1
1.1%
10826 1
1.1%
10828 1
1.1%
10860 1
1.1%
14521 1
1.1%
16617 1
1.1%
17123 1
1.1%
17134 1
1.1%
17551 1
1.1%
ValueCountFrequency (%)
17998 1
1.1%
17763 1
1.1%
17595 1
1.1%
17551 1
1.1%
17134 1
1.1%
17123 1
1.1%
16617 1
1.1%
14521 1
1.1%
10860 1
1.1%
10828 1
1.1%

소재지도로명주소
Text

MISSING 

Distinct74
Distinct (%)84.1%
Missing2
Missing (%)2.2%
Memory size852.0 B
2023-12-11T06:08:24.304251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30.5
Mean length23.886364
Min length18

Characters and Unicode

Total characters2102
Distinct characters146
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)69.3%

Sample

1st row경기도 고양시 일산동구 공릉천로 126 (사리현동)
2nd row경기도 고양시 덕양구 창릉천길 104 (지축동)
3rd row경기도 고양시 일산동구 공릉천로 124 (사리현동)
4th row경기도 광주시 초월읍 경수길 64
5th row경기도 광주시 초월읍 경수길 64
ValueCountFrequency (%)
경기도 88
 
18.7%
파주시 17
 
3.6%
김포시 13
 
2.8%
법원읍 10
 
2.1%
부천시 10
 
2.1%
처인구 9
 
1.9%
용인시 9
 
1.9%
평택시 8
 
1.7%
도당동 8
 
1.7%
안성시 6
 
1.3%
Other values (184) 293
62.2%
2023-12-11T06:08:24.718287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
383
 
18.2%
도 104
 
4.9%
기 96
 
4.6%
경 92
 
4.4%
시 89
 
4.2%
로 73
 
3.5%
1 68
 
3.2%
2 57
 
2.7%
동 54
 
2.6%
길 43
 
2.0%
Other values (136) 1043
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1240
59.0%
Space Separator 383
 
18.2%
Decimal Number 349
 
16.6%
Close Punctuation 35
 
1.7%
Open Punctuation 35
 
1.7%
Dash Punctuation 34
 
1.6%
Other Punctuation 22
 
1.0%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 104
 
8.4%
기 96
 
7.7%
경 92
 
7.4%
시 89
 
7.2%
로 73
 
5.9%
동 54
 
4.4%
길 43
 
3.5%
읍 31
 
2.5%
번 28
 
2.3%
천 25
 
2.0%
Other values (116) 605
48.8%
Decimal Number
ValueCountFrequency (%)
1 68
19.5%
2 57
16.3%
5 38
10.9%
4 37
10.6%
3 33
9.5%
8 33
9.5%
6 26
 
7.4%
9 24
 
6.9%
7 18
 
5.2%
0 15
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
B 1
25.0%
E 1
25.0%
C 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 21
95.5%
: 1
 
4.5%
Space Separator
ValueCountFrequency (%)
383
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1240
59.0%
Common 858
40.8%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 104
 
8.4%
기 96
 
7.7%
경 92
 
7.4%
시 89
 
7.2%
로 73
 
5.9%
동 54
 
4.4%
길 43
 
3.5%
읍 31
 
2.5%
번 28
 
2.3%
천 25
 
2.0%
Other values (116) 605
48.8%
Common
ValueCountFrequency (%)
383
44.6%
1 68
 
7.9%
2 57
 
6.6%
5 38
 
4.4%
4 37
 
4.3%
) 35
 
4.1%
( 35
 
4.1%
- 34
 
4.0%
3 33
 
3.8%
8 33
 
3.8%
Other values (6) 105
 
12.2%
Latin
ValueCountFrequency (%)
A 1
25.0%
B 1
25.0%
E 1
25.0%
C 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1240
59.0%
ASCII 862
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
383
44.4%
1 68
 
7.9%
2 57
 
6.6%
5 38
 
4.4%
4 37
 
4.3%
) 35
 
4.1%
( 35
 
4.1%
- 34
 
3.9%
3 33
 
3.8%
8 33
 
3.8%
Other values (10) 109
 
12.6%
Hangul
ValueCountFrequency (%)
도 104
 
8.4%
기 96
 
7.7%
경 92
 
7.4%
시 89
 
7.2%
로 73
 
5.9%
동 54
 
4.4%
길 43
 
3.5%
읍 31
 
2.5%
번 28
 
2.3%
천 25
 
2.0%
Other values (116) 605
48.8%

소재지지번주소
Text

Distinct77
Distinct (%)85.6%
Missing0
Missing (%)0.0%
Memory size852.0 B
2023-12-11T06:08:25.010174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length32
Mean length23.966667
Min length15

Characters and Unicode

Total characters2157
Distinct characters134
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)72.2%

Sample

1st row경기도 고양시 일산동구 사리현동 267번지 4호
2nd row경기도 고양시덕양구 지축동 712번지 7호
3rd row경기도 고양시 일산동구 사리현동 267번지 1호
4th row경기도 광주시 초월읍 지월리 565번지 18호
5th row경기도 광주시 초월읍 지월리 565번지 18호
ValueCountFrequency (%)
경기도 90
 
17.6%
파주시 18
 
3.5%
김포시 14
 
2.7%
처인구 10
 
2.0%
2호 10
 
2.0%
부천시 10
 
2.0%
법원읍 10
 
2.0%
용인시 10
 
2.0%
평택시 9
 
1.8%
도당동 8
 
1.6%
Other values (199) 323
63.1%
2023-12-11T06:08:25.419386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
426
19.7%
도 103
 
4.8%
지 103
 
4.8%
시 94
 
4.4%
경 93
 
4.3%
기 93
 
4.3%
1 89
 
4.1%
번 87
 
4.0%
리 64
 
3.0%
동 53
 
2.5%
Other values (124) 952
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1322
61.3%
Space Separator 426
 
19.7%
Decimal Number 366
 
17.0%
Dash Punctuation 21
 
1.0%
Other Punctuation 9
 
0.4%
Uppercase Letter 9
 
0.4%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 103
 
7.8%
지 103
 
7.8%
시 94
 
7.1%
경 93
 
7.0%
기 93
 
7.0%
번 87
 
6.6%
리 64
 
4.8%
동 53
 
4.0%
호 50
 
3.8%
읍 35
 
2.6%
Other values (104) 547
41.4%
Decimal Number
ValueCountFrequency (%)
1 89
24.3%
3 42
11.5%
4 40
10.9%
2 40
10.9%
5 37
10.1%
6 33
 
9.0%
8 29
 
7.9%
0 21
 
5.7%
9 19
 
5.2%
7 16
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
A 4
44.4%
O 2
22.2%
B 2
22.2%
C 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
, 8
88.9%
: 1
 
11.1%
Space Separator
ValueCountFrequency (%)
426
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1322
61.3%
Common 826
38.3%
Latin 9
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 103
 
7.8%
지 103
 
7.8%
시 94
 
7.1%
경 93
 
7.0%
기 93
 
7.0%
번 87
 
6.6%
리 64
 
4.8%
동 53
 
4.0%
호 50
 
3.8%
읍 35
 
2.6%
Other values (104) 547
41.4%
Common
ValueCountFrequency (%)
426
51.6%
1 89
 
10.8%
3 42
 
5.1%
4 40
 
4.8%
2 40
 
4.8%
5 37
 
4.5%
6 33
 
4.0%
8 29
 
3.5%
0 21
 
2.5%
- 21
 
2.5%
Other values (6) 48
 
5.8%
Latin
ValueCountFrequency (%)
A 4
44.4%
O 2
22.2%
B 2
22.2%
C 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1322
61.3%
ASCII 835
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
426
51.0%
1 89
 
10.7%
3 42
 
5.0%
4 40
 
4.8%
2 40
 
4.8%
5 37
 
4.4%
6 33
 
4.0%
8 29
 
3.5%
0 21
 
2.5%
- 21
 
2.5%
Other values (10) 57
 
6.8%
Hangul
ValueCountFrequency (%)
도 103
 
7.8%
지 103
 
7.8%
시 94
 
7.1%
경 93
 
7.0%
기 93
 
7.0%
번 87
 
6.6%
리 64
 
4.8%
동 53
 
4.0%
호 50
 
3.8%
읍 35
 
2.6%
Other values (104) 547
41.4%

소재지우편번호
Text

Distinct55
Distinct (%)61.1%
Missing0
Missing (%)0.0%
Memory size852.0 B
2023-12-11T06:08:25.617084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.6555556
Min length5

Characters and Unicode

Total characters509
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

Unique30 ?
Unique (%)33.3%

Sample

1st row410530
2nd row412815
3rd row410530
4th row464863
5th row464863
ValueCountFrequency (%)
413876 6
 
6.7%
415808 4
 
4.4%
420805 3
 
3.3%
17123 3
 
3.3%
413825 3
 
3.3%
10826 3
 
3.3%
14521 2
 
2.2%
17551 2
 
2.2%
413822 2
 
2.2%
456270 2
 
2.2%
Other values (45) 60
66.7%
2023-12-11T06:08:25.932997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 95
18.7%
4 84
16.5%
8 69
13.6%
0 54
10.6%
5 51
10.0%
7 38
 
7.5%
2 38
 
7.5%
3 37
 
7.3%
6 32
 
6.3%
9 10
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 508
99.8%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 95
18.7%
4 84
16.5%
8 69
13.6%
0 54
10.6%
5 51
10.0%
7 38
 
7.5%
2 38
 
7.5%
3 37
 
7.3%
6 32
 
6.3%
9 10
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 509
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 95
18.7%
4 84
16.5%
8 69
13.6%
0 54
10.6%
5 51
10.0%
7 38
 
7.5%
2 38
 
7.5%
3 37
 
7.3%
6 32
 
6.3%
9 10
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 509
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 95
18.7%
4 84
16.5%
8 69
13.6%
0 54
10.6%
5 51
10.0%
7 38
 
7.5%
2 38
 
7.5%
3 37
 
7.3%
6 32
 
6.3%
9 10
 
2.0%

WGS84위도
Real number (ℝ)

MISSING 

Distinct68
Distinct (%)78.2%
Missing3
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean37.450372
Minimum36.959423
Maximum37.922326
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size942.0 B
2023-12-11T06:08:26.056562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.959423
5-th percentile36.998456
Q137.114634
median37.514991
Q337.724025
95-th percentile37.855235
Maximum37.922326
Range0.96290365
Interquartile range (IQR)0.60939121

Descriptive statistics

Standard deviation0.30965944
Coefficient of variation (CV)0.0082685277
Kurtosis-1.4860371
Mean37.450372
Median Absolute Deviation (MAD)0.26347703
Skewness-0.13366335
Sum3258.1824
Variance0.095888968
MonotonicityNot monotonic
2023-12-11T06:08:26.360340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.1585442513 3
 
3.3%
36.9965919779 3
 
3.3%
37.1018611873 3
 
3.3%
37.7784678931 2
 
2.2%
37.0793465183 2
 
2.2%
37.8553866125 2
 
2.2%
37.2701047386 2
 
2.2%
37.7368000544 2
 
2.2%
37.5149908673 2
 
2.2%
37.4185985331 2
 
2.2%
Other values (58) 64
71.1%
(Missing) 3
 
3.3%
ValueCountFrequency (%)
36.9594225389 2
2.2%
36.9965919779 3
3.3%
37.0028061198 1
 
1.1%
37.0088243403 1
 
1.1%
37.0089301426 1
 
1.1%
37.0192647739 1
 
1.1%
37.0506139734 1
 
1.1%
37.0738741613 1
 
1.1%
37.0742639265 1
 
1.1%
37.0793465183 2
2.2%
ValueCountFrequency (%)
37.9223261902 2
2.2%
37.8604904919 1
1.1%
37.8553866125 2
2.2%
37.8548809411 1
1.1%
37.8545039078 1
1.1%
37.8537694583 1
1.1%
37.8536008166 1
1.1%
37.853525894 2
2.2%
37.8534861176 1
1.1%
37.8353787829 1
1.1%

WGS84경도
Real number (ℝ)

MISSING 

Distinct68
Distinct (%)78.2%
Missing3
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean126.93364
Minimum126.56108
Maximum127.64413
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size942.0 B
2023-12-11T06:08:26.477552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.56108
5-th percentile126.59986
Q1126.78157
median126.88006
Q3127.10602
95-th percentile127.2651
Maximum127.64413
Range1.0830481
Interquartile range (IQR)0.32445315

Descriptive statistics

Standard deviation0.22192901
Coefficient of variation (CV)0.001748386
Kurtosis-0.13813053
Mean126.93364
Median Absolute Deviation (MAD)0.15813057
Skewness0.43340334
Sum11043.227
Variance0.049252486
MonotonicityNot monotonic
2023-12-11T06:08:26.604523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.2091938345 3
 
3.3%
127.2609241277 3
 
3.3%
127.1738593802 3
 
3.3%
126.7138333601 2
 
2.2%
127.0627323211 2
 
2.2%
126.8819589686 2
 
2.2%
126.9931574271 2
 
2.2%
126.8449715676 2
 
2.2%
126.7813642888 2
 
2.2%
127.2909499842 2
 
2.2%
Other values (58) 64
71.1%
(Missing) 3
 
3.3%
ValueCountFrequency (%)
126.5610800845 1
1.1%
126.5697877465 1
1.1%
126.5728863943 1
1.1%
126.5977742912 1
1.1%
126.5997115326 1
1.1%
126.600202564 2
2.2%
126.6073198099 1
1.1%
126.6134930334 1
1.1%
126.6453233472 1
1.1%
126.7031291233 1
1.1%
ValueCountFrequency (%)
127.6441282102 1
 
1.1%
127.3140132899 1
 
1.1%
127.2909499842 2
2.2%
127.2651039033 2
2.2%
127.2609241277 3
3.3%
127.2349919445 1
 
1.1%
127.2130042863 1
 
1.1%
127.2091938345 3
3.3%
127.1773039181 1
 
1.1%
127.1738593802 3
3.3%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

X좌표값
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing77
Missing (%)85.6%
Infinite0
Infinite (%)0.0%
Mean195757.78
Minimum164484.08
Maximum223146.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size942.0 B
2023-12-11T06:08:26.702524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum164484.08
5-th percentile165308.74
Q1180594.46
median199309.42
Q3213936.87
95-th percentile220366.44
Maximum223146.21
Range58662.132
Interquartile range (IQR)33342.405

Descriptive statistics

Standard deviation20101.524
Coefficient of variation (CV)0.1026857
Kurtosis-1.2933091
Mean195757.78
Median Absolute Deviation (MAD)16056.483
Skewness-0.2773396
Sum2544851.1
Variance4.0407128 × 108
MonotonicityNot monotonic
2023-12-11T06:08:26.784989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
164484.08165602 1
 
1.1%
165858.51609182 1
 
1.1%
180594.464828771 1
 
1.1%
199309.415873907 1
 
1.1%
223146.213849347 1
 
1.1%
213936.870073274 1
 
1.1%
215365.899347368 1
 
1.1%
218513.250796306 1
 
1.1%
187795.12331477 1
 
1.1%
174725.550874973 1
 
1.1%
Other values (3) 3
 
3.3%
(Missing) 77
85.6%
ValueCountFrequency (%)
164484.08165602 1
1.1%
165858.51609182 1
1.1%
174725.550874973 1
1.1%
180594.464828771 1
1.1%
187795.12331477 1
1.1%
189375.344483947 1
1.1%
199309.415873907 1
1.1%
205504.465114119 1
1.1%
206241.936751612 1
1.1%
213936.870073274 1
1.1%
ValueCountFrequency (%)
223146.213849347 1
1.1%
218513.250796306 1
1.1%
215365.899347368 1
1.1%
213936.870073274 1
1.1%
206241.936751612 1
1.1%
205504.465114119 1
1.1%
199309.415873907 1
1.1%
189375.344483947 1
1.1%
187795.12331477 1
1.1%
180594.464828771 1
1.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing77
Missing (%)85.6%
Infinite0
Infinite (%)0.0%
Mean431456.27
Minimum384198.94
Maximum483566.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size942.0 B
2023-12-11T06:08:26.870849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum384198.94
5-th percentile386704.83
Q1397510.72
median418652.51
Q3469627.41
95-th percentile482284.92
Maximum483566.32
Range99367.384
Interquartile range (IQR)72116.692

Descriptive statistics

Standard deviation39706.704
Coefficient of variation (CV)0.092029499
Kurtosis-1.9592511
Mean431456.27
Median Absolute Deviation (MAD)30277.087
Skewness0.17731857
Sum5608931.4
Variance1.5766223 × 109
MonotonicityNot monotonic
2023-12-11T06:08:26.961668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
469627.412578014 1
 
1.1%
468445.100694737 1
 
1.1%
445884.351796719 1
 
1.1%
418652.510480111 1
 
1.1%
388375.423596786 1
 
1.1%
389739.387295095 1
 
1.1%
400040.329775917 1
 
1.1%
406317.41851245 1
 
1.1%
481430.649765297 1
 
1.1%
475142.879622198 1
 
1.1%
Other values (3) 3
 
3.3%
(Missing) 77
85.6%
ValueCountFrequency (%)
384198.938573531 1
1.1%
388375.423596786 1
1.1%
389739.387295095 1
1.1%
397510.720763033 1
1.1%
400040.329775917 1
1.1%
406317.41851245 1
1.1%
418652.510480111 1
1.1%
445884.351796719 1
1.1%
468445.100694737 1
1.1%
469627.412578014 1
1.1%
ValueCountFrequency (%)
483566.3224728 1
1.1%
481430.649765297 1
1.1%
475142.879622198 1
1.1%
469627.412578014 1
1.1%
468445.100694737 1
1.1%
445884.351796719 1
1.1%
418652.510480111 1
1.1%
406317.41851245 1
1.1%
400040.329775917 1
1.1%
397510.720763033 1
1.1%

수리대상유형정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

다른 겸업 여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

총시설규모(㎡)
Real number (ℝ)

Distinct73
Distinct (%)81.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1356.7741
Minimum55.77
Maximum12553.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size942.0 B
2023-12-11T06:08:27.068493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55.77
5-th percentile337.267
Q1407.1
median696.87
Q3979.0725
95-th percentile6995.865
Maximum12553.92
Range12498.15
Interquartile range (IQR)571.9725

Descriptive statistics

Standard deviation2248.8236
Coefficient of variation (CV)1.6574782
Kurtosis11.652846
Mean1356.7741
Median Absolute Deviation (MAD)289.77
Skewness3.4462885
Sum122109.67
Variance5057207.4
MonotonicityNot monotonic
2023-12-11T06:08:27.185508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
378.5 3
 
3.3%
761.4 3
 
3.3%
380.0 3
 
3.3%
9527.0 2
 
2.2%
407.1 2
 
2.2%
1451.28 2
 
2.2%
1042.5 2
 
2.2%
4591.61 2
 
2.2%
345.3 2
 
2.2%
336.34 2
 
2.2%
Other values (63) 67
74.4%
ValueCountFrequency (%)
55.77 1
 
1.1%
330.12 1
 
1.1%
333.71 1
 
1.1%
336.34 2
2.2%
338.4 1
 
1.1%
345.3 2
2.2%
357.0 1
 
1.1%
363.0 2
2.2%
370.0 1
 
1.1%
378.5 3
3.3%
ValueCountFrequency (%)
12553.92 1
1.1%
9527.0 2
2.2%
8874.3 2
2.2%
4700.0 1
1.1%
4591.61 2
2.2%
1996.55 2
2.2%
1906.1 1
1.1%
1761.5 1
1.1%
1451.28 2
2.2%
1207.34 1
1.1%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값수리대상유형정보다른 겸업 여부총시설규모(㎡)
0고양시(주)뉴덕흥기업20050330<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 공릉천로 126 (사리현동)경기도 고양시 일산동구 사리현동 267번지 4호41053037.703293126.847229<NA><NA><NA><NA><NA>842.12
1고양시(주)린텍스기업20001206<NA><NA>폐업 등<NA><NA><NA><NA>경기도 고양시 덕양구 창릉천길 104 (지축동)경기도 고양시덕양구 지축동 712번지 7호412815<NA><NA><NA><NA><NA><NA><NA>445.8
2고양시탁앤탁20120803<NA><NA>폐업 등20150102<NA><NA><NA>경기도 고양시 일산동구 공릉천로 124 (사리현동)경기도 고양시 일산동구 사리현동 267번지 1호41053037.703642126.846863<NA><NA><NA><NA><NA>745.3
3광주시크린케어20150226<NA><NA>운영중<NA><NA><NA><NA>경기도 광주시 초월읍 경수길 64경기도 광주시 초월읍 지월리 565번지 18호46486337.418599127.29095<NA><NA><NA><NA><NA>363.0
4광주시크린케어20131028<NA><NA>폐업 등20151109<NA><NA><NA>경기도 광주시 초월읍 경수길 64경기도 광주시 초월읍 지월리 565번지 18호46486337.418599127.29095<NA><NA><NA><NA><NA>363.0
5광주시한강산업20130729<NA><NA>폐업 등20150113<NA><NA><NA>경기도 광주시 초월읍 숯골길 17-79경기도 광주시 초월읍 신월리 638번지46486437.396743127.314013<NA><NA><NA><NA><NA>478.8
6군포시신원산업19910912<NA><NA>폐업 등20140731<NA><NA><NA>경기도 군포시 공단로 39-3 (당동)경기도 군포시 당동 168-3외 2필지43501037.349183126.948841<NA><NA><NA><NA><NA>395.63
7김포시(주)메디탁2023-05-30<NA>13영업중<NA>031-981-4810<NA>10003경기도 김포시 월곶면 애기봉로 515경기도 김포시 월곶면 개곡리 325-1번지1000337.728488126.597774<NA>164484.081656469627.412578<NA><NA>416.0
8김포시(주)비앤에스파트너2023-06-12<NA>13영업중<NA>031-984-6605<NA>10010경기도 김포시 통진읍 귀전로154번길 93경기도 김포시 통진읍 귀전리 350-21001037.717846126.613493<NA>165858.516092468445.100695<NA><NA>680.34
9김포시주식회사 메디클린(124411-0148991)20101026<NA><NA>운영중<NA><NA><NA><NA>경기도 김포시 대곶면 학의동로 87-31경기도 김포시 대곶면 대명리 91번지 6호41585337.657972126.56108<NA><NA><NA><NA><NA>660.0
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값수리대상유형정보다른 겸업 여부총시설규모(㎡)
80평택시뉴메디클린2020-01-23<NA>3폐업2023-01-02<NA><NA>17998경기도 평택시 팽성읍 추팔산단로 58-28, 1층경기도 평택시 팽성읍 남산리 41-119번지 1층1799836.959423127.070866<NA>206241.936752384198.938574<NA><NA>766.88
81평택시수진기업20120921<NA><NA>폐업 등20121102<NA><NA><NA>경기도 회화길 36-16 (가동(탈의실: 라동1층))경기도 평택시 서탄면 적봉리 383번지 2호 외2필지 가동(탈의실: 라동1층)45185137.098034127.028844<NA><NA><NA><NA><NA>985.0
82평택시삼성기업20170718<NA><NA>폐업 등<NA><NA><NA><NA>경기도 평택시 안중읍 안중북로 155경기도 평택시 안중읍 덕우리 94번지 24호1781637.002806126.919724<NA><NA><NA><NA><NA>917.4
83평택시영풍기업20011027<NA><NA>휴업 등<NA><NA><NA><NA>경기도 평택시 팽성읍 추팔산단로 58-28경기도 평택시 팽성읍 남산리 41번지 119호45180336.959423127.070866<NA><NA><NA><NA><NA>659.28
84포천시해승산업20131002<NA><NA>운영중<NA><NA><NA><NA>경기도 포천시 화현면 봉화로 865-15경기도 포천시 화현면 지현리 412번지48784337.922326127.265104<NA><NA><NA><NA><NA>380.0
85포천시완주산업20070222<NA><NA>운영중<NA><NA><NA><NA>경기도 포천시 내촌면 내진로 284-12경기도 포천시 내촌면 진목리 353번지 373호48783637.808114127.213004<NA><NA><NA><NA><NA>357.0
86포천시해승산업20120203<NA><NA>폐업 등<NA><NA><NA><NA>경기도 포천시 화현면 봉화로 865-15경기도 포천시 화현면 지현리 412번지48784337.922326127.265104<NA><NA><NA><NA><NA>380.0
87화성시한결기업20140228<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 장안면 신촌길 96경기도 화성시 장안면 독정리 795번지 16호44594437.074264126.845618<NA><NA><NA><NA><NA>440.0
88화성시모던20131111<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 장안면 신촌길 109경기도 화성시 장안면 독정리 795번지 4호 A, B동44594437.073874126.843597<NA><NA><NA><NA><NA>573.2
89화성시남양산업20030613<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 정남면 서봉로851번길 68-6, C동경기도 화성시 정남면 문학리 643번지 C동1852237.152903126.956237<NA><NA><NA><NA><NA>387.5