Overview

Dataset statistics

Number of variables26
Number of observations1002
Missing cells8351
Missing cells (%)32.1%
Duplicate rows6
Duplicate rows (%)0.6%
Total size in memory216.4 KiB
Average record size in memory221.1 B

Variable types

Categorical8
Text7
DateTime1
Unsupported6
Numeric4

Dataset

Description단독 정화조·오수 처리 시설 설계시공업체 현황_인허가
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=P8UN86Y3X65L6T9U6T8Y233958&infSeq=1

Alerts

환경업무구분명 has constant value ""Constant
Dataset has 6 (0.6%) duplicate rowsDuplicates
업태구분명정보 is highly imbalanced (65.1%)Imbalance
업종구분명정보 is highly imbalanced (65.1%)Imbalance
배출시설연간가동일수 is highly imbalanced (62.4%)Imbalance
방지시설연간가동일수 is highly imbalanced (62.4%)Imbalance
인허가일자 has 181 (18.1%) missing valuesMissing
인허가취소일자 has 1002 (100.0%) missing valuesMissing
폐업일자 has 380 (37.9%) missing valuesMissing
소재지시설전화번호 has 377 (37.6%) missing valuesMissing
소재지면적정보 has 1002 (100.0%) missing valuesMissing
도로명우편번호 has 725 (72.4%) missing valuesMissing
소재지도로명주소 has 96 (9.6%) missing valuesMissing
WGS84위도 has 28 (2.8%) missing valuesMissing
WGS84경도 has 28 (2.8%) missing valuesMissing
X좌표값 has 257 (25.6%) missing valuesMissing
Y좌표값 has 257 (25.6%) missing valuesMissing
종별명 has 1002 (100.0%) missing valuesMissing
주생산품명정보 has 1002 (100.0%) missing valuesMissing
배출시설조업시간 has 1002 (100.0%) missing valuesMissing
방지시설조업시간 has 1002 (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
종별명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주생산품명정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
배출시설조업시간 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방지시설조업시간 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 21:57:42.608264
Analysis finished2023-12-10 21:57:43.469929
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct32
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
용인시
106 
성남시
72 
안양시
72 
수원시
68 
화성시
 
58
Other values (27)
626 

Length

Max length4
Median length3
Mean length3.0608782
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
용인시 106
 
10.6%
성남시 72
 
7.2%
안양시 72
 
7.2%
수원시 68
 
6.8%
화성시 58
 
5.8%
고양시 50
 
5.0%
평택시 41
 
4.1%
안성시 41
 
4.1%
부천시 40
 
4.0%
이천시 40
 
4.0%
Other values (22) 414
41.3%

Length

2023-12-11T06:57:43.529531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
용인시 106
 
10.6%
안양시 72
 
7.2%
성남시 72
 
7.2%
수원시 68
 
6.8%
화성시 58
 
5.8%
고양시 50
 
5.0%
평택시 41
 
4.1%
안성시 41
 
4.1%
이천시 40
 
4.0%
부천시 40
 
4.0%
Other values (22) 414
41.3%

사업장명
Text

Distinct786
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
2023-12-11T06:57:43.778574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length7.6397206
Min length2

Characters and Unicode

Total characters7655
Distinct characters313
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

Unique640 ?
Unique (%)63.9%

Sample

1st row대호건설주식회사
2nd row삼보환경기술(주)
3rd row유성환경건설(주)
4th row(주)한신환경기업
5th row북부건설주식회사
ValueCountFrequency (%)
주식회사 24
 
2.3%
경수환경(주 8
 
0.8%
주)신우이앤씨 6
 
0.6%
보성환경기술 5
 
0.5%
주)자연환경 5
 
0.5%
해성엔지니어링(주 5
 
0.5%
주)라이프환경 4
 
0.4%
주 4
 
0.4%
청솔환경시스템 4
 
0.4%
주)그린환경 4
 
0.4%
Other values (787) 975
93.4%
2023-12-11T06:57:44.195457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 803
 
10.5%
) 746
 
9.7%
( 745
 
9.7%
경 427
 
5.6%
환 387
 
5.1%
건 211
 
2.8%
설 198
 
2.6%
엔 179
 
2.3%
이 167
 
2.2%
지 126
 
1.6%
Other values (303) 3666
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5983
78.2%
Close Punctuation 747
 
9.8%
Open Punctuation 746
 
9.7%
Uppercase Letter 82
 
1.1%
Space Separator 44
 
0.6%
Other Punctuation 18
 
0.2%
Dash Punctuation 14
 
0.2%
Other Symbol 12
 
0.2%
Lowercase Letter 8
 
0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 803
 
13.4%
경 427
 
7.1%
환 387
 
6.5%
건 211
 
3.5%
설 198
 
3.3%
엔 179
 
3.0%
이 167
 
2.8%
지 126
 
2.1%
산 96
 
1.6%
성 95
 
1.6%
Other values (268) 3294
55.1%
Uppercase Letter
ValueCountFrequency (%)
E 24
29.3%
N 11
13.4%
G 11
13.4%
R 5
 
6.1%
T 4
 
4.9%
C 4
 
4.9%
P 4
 
4.9%
V 4
 
4.9%
F 3
 
3.7%
K 2
 
2.4%
Other values (8) 10
12.2%
Lowercase Letter
ValueCountFrequency (%)
e 2
25.0%
l 1
12.5%
g 1
12.5%
j 1
12.5%
v 1
12.5%
o 1
12.5%
h 1
12.5%
Close Punctuation
ValueCountFrequency (%)
) 746
99.9%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 745
99.9%
[ 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
. 10
55.6%
& 8
44.4%
Space Separator
ValueCountFrequency (%)
44
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 12
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5995
78.3%
Common 1570
 
20.5%
Latin 90
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 803
 
13.4%
경 427
 
7.1%
환 387
 
6.5%
건 211
 
3.5%
설 198
 
3.3%
엔 179
 
3.0%
이 167
 
2.8%
지 126
 
2.1%
산 96
 
1.6%
성 95
 
1.6%
Other values (269) 3306
55.1%
Latin
ValueCountFrequency (%)
E 24
26.7%
N 11
12.2%
G 11
12.2%
R 5
 
5.6%
T 4
 
4.4%
C 4
 
4.4%
P 4
 
4.4%
V 4
 
4.4%
F 3
 
3.3%
e 2
 
2.2%
Other values (15) 18
20.0%
Common
ValueCountFrequency (%)
) 746
47.5%
( 745
47.5%
44
 
2.8%
- 14
 
0.9%
. 10
 
0.6%
& 8
 
0.5%
] 1
 
0.1%
[ 1
 
0.1%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5983
78.2%
ASCII 1660
 
21.7%
None 12
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 803
 
13.4%
경 427
 
7.1%
환 387
 
6.5%
건 211
 
3.5%
설 198
 
3.3%
엔 179
 
3.0%
이 167
 
2.8%
지 126
 
2.1%
산 96
 
1.6%
성 95
 
1.6%
Other values (268) 3294
55.1%
ASCII
ValueCountFrequency (%)
) 746
44.9%
( 745
44.9%
44
 
2.7%
E 24
 
1.4%
- 14
 
0.8%
N 11
 
0.7%
G 11
 
0.7%
. 10
 
0.6%
& 8
 
0.5%
R 5
 
0.3%
Other values (24) 42
 
2.5%
None
ValueCountFrequency (%)
㈜ 12
100.0%

인허가일자
Date

MISSING 

Distinct732
Distinct (%)89.2%
Missing181
Missing (%)18.1%
Memory size8.0 KiB
Minimum1983-11-01 00:00:00
Maximum2023-05-22 00:00:00
2023-12-11T06:57:44.364571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:57:44.516865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1002
Missing (%)100.0%
Memory size8.9 KiB

영업상태구분코드
Categorical

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
2
520 
11
441 
5
 
17
1
 
17
3
 
7

Length

Max length2
Median length1
Mean length1.4401198
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 520
51.9%
11 441
44.0%
5 17
 
1.7%
1 17
 
1.7%
3 7
 
0.7%

Length

2023-12-11T06:57:44.643736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:57:44.742692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 520
51.9%
11 441
44.0%
5 17
 
1.7%
1 17
 
1.7%
3 7
 
0.7%

영업상태명
Categorical

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
폐업
520 
영업
441 
제외사항
 
17
휴업
 
17
재개업
 
7

Length

Max length4
Median length2
Mean length2.0409182
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 520
51.9%
영업 441
44.0%
제외사항 17
 
1.7%
휴업 17
 
1.7%
재개업 7
 
0.7%

Length

2023-12-11T06:57:44.852307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:57:44.955662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 520
51.9%
영업 441
44.0%
제외사항 17
 
1.7%
휴업 17
 
1.7%
재개업 7
 
0.7%

폐업일자
Text

MISSING 

Distinct488
Distinct (%)78.5%
Missing380
Missing (%)37.9%
Memory size8.0 KiB
2023-12-11T06:57:45.225182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.0096463
Min length8

Characters and Unicode

Total characters4982
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

Unique428 ?
Unique (%)68.8%

Sample

1st row20001202
2nd row20030407
3rd row20040709
4th row20030317
5th row20121113
ValueCountFrequency (%)
20080704 38
 
6.1%
11111111 14
 
2.3%
20070420 9
 
1.4%
20200212 7
 
1.1%
00000101 5
 
0.8%
20120105 5
 
0.8%
20050711 4
 
0.6%
20191105 3
 
0.5%
20130118 3
 
0.5%
20070702 3
 
0.5%
Other values (478) 531
85.4%
2023-12-11T06:57:45.664557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1815
36.4%
2 1037
20.8%
1 937
18.8%
7 200
 
4.0%
4 197
 
4.0%
3 195
 
3.9%
8 179
 
3.6%
9 143
 
2.9%
5 142
 
2.9%
6 131
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4976
99.9%
Dash Punctuation 6
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1815
36.5%
2 1037
20.8%
1 937
18.8%
7 200
 
4.0%
4 197
 
4.0%
3 195
 
3.9%
8 179
 
3.6%
9 143
 
2.9%
5 142
 
2.9%
6 131
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4982
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1815
36.4%
2 1037
20.8%
1 937
18.8%
7 200
 
4.0%
4 197
 
4.0%
3 195
 
3.9%
8 179
 
3.6%
9 143
 
2.9%
5 142
 
2.9%
6 131
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4982
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1815
36.4%
2 1037
20.8%
1 937
18.8%
7 200
 
4.0%
4 197
 
4.0%
3 195
 
3.9%
8 179
 
3.6%
9 143
 
2.9%
5 142
 
2.9%
6 131
 
2.6%

소재지시설전화번호
Text

MISSING 

Distinct549
Distinct (%)87.8%
Missing377
Missing (%)37.6%
Memory size8.0 KiB
2023-12-11T06:57:45.982848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.7008
Min length7

Characters and Unicode

Total characters6688
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

Unique491 ?
Unique (%)78.6%

Sample

1st row031 582 6551
2nd row0315813388
3rd row0315859677
4th row031 582 5306
5th row0315859677
ValueCountFrequency (%)
031 160
 
17.4%
0331 20
 
2.2%
02 11
 
1.2%
0031 9
 
1.0%
0312867622 6
 
0.7%
0343 4
 
0.4%
0313384755 4
 
0.4%
762-8572 4
 
0.4%
0315859677 4
 
0.4%
0315812021 3
 
0.3%
Other values (619) 693
75.5%
2023-12-11T06:57:46.399266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1031
15.4%
3 1002
15.0%
1 863
12.9%
2 533
8.0%
7 523
7.8%
5 464
6.9%
6 460
6.9%
4 432
6.5%
8 424
6.3%
9 335
 
5.0%
Other values (3) 621
9.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6067
90.7%
Dash Punctuation 309
 
4.6%
Space Separator 309
 
4.6%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1031
17.0%
3 1002
16.5%
1 863
14.2%
2 533
8.8%
7 523
8.6%
5 464
7.6%
6 460
7.6%
4 432
7.1%
8 424
7.0%
9 335
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 309
100.0%
Space Separator
ValueCountFrequency (%)
309
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6688
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1031
15.4%
3 1002
15.0%
1 863
12.9%
2 533
8.0%
7 523
7.8%
5 464
6.9%
6 460
6.9%
4 432
6.5%
8 424
6.3%
9 335
 
5.0%
Other values (3) 621
9.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6688
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1031
15.4%
3 1002
15.0%
1 863
12.9%
2 533
8.0%
7 523
7.8%
5 464
6.9%
6 460
6.9%
4 432
6.5%
8 424
6.3%
9 335
 
5.0%
Other values (3) 621
9.3%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1002
Missing (%)100.0%
Memory size8.9 KiB

도로명우편번호
Text

MISSING 

Distinct211
Distinct (%)76.2%
Missing725
Missing (%)72.4%
Memory size8.0 KiB
2023-12-11T06:57:46.745046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.5487365
Min length5

Characters and Unicode

Total characters1537
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

Unique164 ?
Unique (%)59.2%

Sample

1st row12419
2nd row477800
3rd row477814
4th row477814
5th row12419
ValueCountFrequency (%)
10109 4
 
1.4%
445330 4
 
1.4%
456030 4
 
1.4%
449931 4
 
1.4%
12419 4
 
1.4%
12814 4
 
1.4%
17024 3
 
1.1%
467020 3
 
1.1%
10403 3
 
1.1%
476802 3
 
1.1%
Other values (201) 241
87.0%
2023-12-11T06:57:47.220095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 269
17.5%
4 263
17.1%
0 189
12.3%
8 132
8.6%
2 130
8.5%
7 129
8.4%
6 122
7.9%
9 101
 
6.6%
5 98
 
6.4%
3 96
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1529
99.5%
Dash Punctuation 8
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 269
17.6%
4 263
17.2%
0 189
12.4%
8 132
8.6%
2 130
8.5%
7 129
8.4%
6 122
8.0%
9 101
 
6.6%
5 98
 
6.4%
3 96
 
6.3%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1537
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 269
17.5%
4 263
17.1%
0 189
12.3%
8 132
8.6%
2 130
8.5%
7 129
8.4%
6 122
7.9%
9 101
 
6.6%
5 98
 
6.4%
3 96
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1537
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 269
17.5%
4 263
17.1%
0 189
12.3%
8 132
8.6%
2 130
8.5%
7 129
8.4%
6 122
7.9%
9 101
 
6.6%
5 98
 
6.4%
3 96
 
6.2%

소재지도로명주소
Text

MISSING 

Distinct782
Distinct (%)86.3%
Missing96
Missing (%)9.6%
Memory size8.0 KiB
2023-12-11T06:57:47.530102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length47
Mean length27.709713
Min length14

Characters and Unicode

Total characters25105
Distinct characters391
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique685 ?
Unique (%)75.6%

Sample

1st row경기도 가평군 가평읍 석봉로 193 (읍내리)
2nd row경기도 가평군 가평읍 태평길 20, 3층
3rd row경기도 가평군 가평읍 광장로 3
4th row경기도 가평군 청평면 상천역로 5
5th row경기도 가평군 가평읍 보납로34번길 2 (읍내리)
ValueCountFrequency (%)
경기도 904
 
16.9%
용인시 87
 
1.6%
수원시 65
 
1.2%
성남시 65
 
1.2%
안양시 62
 
1.2%
처인구 56
 
1.0%
고양시 49
 
0.9%
화성시 48
 
0.9%
동안구 43
 
0.8%
평택시 39
 
0.7%
Other values (1653) 3918
73.4%
2023-12-11T06:57:47.945130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4665
 
18.6%
경 965
 
3.8%
기 950
 
3.8%
도 948
 
3.8%
시 929
 
3.7%
로 816
 
3.3%
동 806
 
3.2%
1 784
 
3.1%
( 721
 
2.9%
) 720
 
2.9%
Other values (381) 12801
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14577
58.1%
Space Separator 4665
 
18.6%
Decimal Number 3804
 
15.2%
Open Punctuation 721
 
2.9%
Close Punctuation 720
 
2.9%
Other Punctuation 375
 
1.5%
Dash Punctuation 181
 
0.7%
Uppercase Letter 58
 
0.2%
Lowercase Letter 3
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 965
 
6.6%
기 950
 
6.5%
도 948
 
6.5%
시 929
 
6.4%
로 816
 
5.6%
동 806
 
5.5%
구 391
 
2.7%
길 357
 
2.4%
양 342
 
2.3%
안 267
 
1.8%
Other values (341) 7806
53.6%
Uppercase Letter
ValueCountFrequency (%)
B 12
20.7%
A 9
15.5%
K 7
12.1%
I 5
8.6%
C 4
 
6.9%
L 3
 
5.2%
H 3
 
5.2%
P 2
 
3.4%
T 2
 
3.4%
S 2
 
3.4%
Other values (7) 9
15.5%
Decimal Number
ValueCountFrequency (%)
1 784
20.6%
2 526
13.8%
3 457
12.0%
0 381
10.0%
4 329
8.6%
5 301
 
7.9%
8 290
 
7.6%
6 274
 
7.2%
7 260
 
6.8%
9 202
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 328
87.5%
* 42
 
11.2%
. 2
 
0.5%
& 2
 
0.5%
/ 1
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
y 1
33.3%
b 1
33.3%
n 1
33.3%
Space Separator
ValueCountFrequency (%)
4665
100.0%
Open Punctuation
ValueCountFrequency (%)
( 721
100.0%
Close Punctuation
ValueCountFrequency (%)
) 720
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 181
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14577
58.1%
Common 10467
41.7%
Latin 61
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 965
 
6.6%
기 950
 
6.5%
도 948
 
6.5%
시 929
 
6.4%
로 816
 
5.6%
동 806
 
5.5%
구 391
 
2.7%
길 357
 
2.4%
양 342
 
2.3%
안 267
 
1.8%
Other values (341) 7806
53.6%
Common
ValueCountFrequency (%)
4665
44.6%
1 784
 
7.5%
( 721
 
6.9%
) 720
 
6.9%
2 526
 
5.0%
3 457
 
4.4%
0 381
 
3.6%
4 329
 
3.1%
, 328
 
3.1%
5 301
 
2.9%
Other values (10) 1255
 
12.0%
Latin
ValueCountFrequency (%)
B 12
19.7%
A 9
14.8%
K 7
11.5%
I 5
8.2%
C 4
 
6.6%
L 3
 
4.9%
H 3
 
4.9%
P 2
 
3.3%
T 2
 
3.3%
S 2
 
3.3%
Other values (10) 12
19.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14577
58.1%
ASCII 10528
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4665
44.3%
1 784
 
7.4%
( 721
 
6.8%
) 720
 
6.8%
2 526
 
5.0%
3 457
 
4.3%
0 381
 
3.6%
4 329
 
3.1%
, 328
 
3.1%
5 301
 
2.9%
Other values (30) 1316
 
12.5%
Hangul
ValueCountFrequency (%)
경 965
 
6.6%
기 950
 
6.5%
도 948
 
6.5%
시 929
 
6.4%
로 816
 
5.6%
동 806
 
5.5%
구 391
 
2.7%
길 357
 
2.4%
양 342
 
2.3%
안 267
 
1.8%
Other values (341) 7806
53.6%

소재지지번주소
Text

Distinct888
Distinct (%)88.8%
Missing2
Missing (%)0.2%
Memory size8.0 KiB
2023-12-11T06:57:48.457729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length41
Mean length24.196
Min length10

Characters and Unicode

Total characters24196
Distinct characters336
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique796 ?
Unique (%)79.6%

Sample

1st row경기도 가평군 가평읍 읍내리 609번지
2nd row경기도 가평군 가평읍 읍내리 357
3rd row경기도 가평군 가평읍 대곡리 261-1
4th row경기도 가평군 청평면 상천리
5th row경기도 가평군 가평읍 읍내리 408-1 번지
ValueCountFrequency (%)
경기도 998
 
19.0%
용인시 106
 
2.0%
번지 100
 
1.9%
안양시 72
 
1.4%
성남시 72
 
1.4%
수원시 67
 
1.3%
처인구 66
 
1.3%
화성시 58
 
1.1%
동안구 52
 
1.0%
고양시 50
 
1.0%
Other values (1621) 3609
68.7%
2023-12-11T06:57:48.860437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4649
19.2%
기 1039
 
4.3%
도 1019
 
4.2%
경 1004
 
4.1%
시 1003
 
4.1%
동 870
 
3.6%
1 841
 
3.5%
지 831
 
3.4%
- 805
 
3.3%
번 778
 
3.2%
Other values (326) 11357
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14040
58.0%
Space Separator 4649
 
19.2%
Decimal Number 4565
 
18.9%
Dash Punctuation 805
 
3.3%
Other Punctuation 81
 
0.3%
Uppercase Letter 41
 
0.2%
Close Punctuation 6
 
< 0.1%
Open Punctuation 5
 
< 0.1%
Lowercase Letter 3
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1039
 
7.4%
도 1019
 
7.3%
경 1004
 
7.2%
시 1003
 
7.1%
동 870
 
6.2%
지 831
 
5.9%
번 778
 
5.5%
구 424
 
3.0%
양 350
 
2.5%
리 319
 
2.3%
Other values (287) 6403
45.6%
Uppercase Letter
ValueCountFrequency (%)
B 14
34.1%
A 5
 
12.2%
C 4
 
9.8%
L 3
 
7.3%
E 2
 
4.9%
I 2
 
4.9%
T 2
 
4.9%
K 2
 
4.9%
M 1
 
2.4%
N 1
 
2.4%
Other values (5) 5
 
12.2%
Decimal Number
ValueCountFrequency (%)
1 841
18.4%
2 573
12.6%
3 550
12.0%
4 467
10.2%
0 439
9.6%
5 429
9.4%
6 349
7.6%
7 348
7.6%
9 288
 
6.3%
8 281
 
6.2%
Other Punctuation
ValueCountFrequency (%)
* 69
85.2%
, 8
 
9.9%
& 2
 
2.5%
. 1
 
1.2%
/ 1
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
y 1
33.3%
b 1
33.3%
n 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 5
83.3%
] 1
 
16.7%
Space Separator
ValueCountFrequency (%)
4649
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 805
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14040
58.0%
Common 10112
41.8%
Latin 44
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1039
 
7.4%
도 1019
 
7.3%
경 1004
 
7.2%
시 1003
 
7.1%
동 870
 
6.2%
지 831
 
5.9%
번 778
 
5.5%
구 424
 
3.0%
양 350
 
2.5%
리 319
 
2.3%
Other values (287) 6403
45.6%
Common
ValueCountFrequency (%)
4649
46.0%
1 841
 
8.3%
- 805
 
8.0%
2 573
 
5.7%
3 550
 
5.4%
4 467
 
4.6%
0 439
 
4.3%
5 429
 
4.2%
6 349
 
3.5%
7 348
 
3.4%
Other values (11) 662
 
6.5%
Latin
ValueCountFrequency (%)
B 14
31.8%
A 5
 
11.4%
C 4
 
9.1%
L 3
 
6.8%
E 2
 
4.5%
I 2
 
4.5%
T 2
 
4.5%
K 2
 
4.5%
M 1
 
2.3%
N 1
 
2.3%
Other values (8) 8
18.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14040
58.0%
ASCII 10156
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4649
45.8%
1 841
 
8.3%
- 805
 
7.9%
2 573
 
5.6%
3 550
 
5.4%
4 467
 
4.6%
0 439
 
4.3%
5 429
 
4.2%
6 349
 
3.4%
7 348
 
3.4%
Other values (29) 706
 
7.0%
Hangul
ValueCountFrequency (%)
기 1039
 
7.4%
도 1019
 
7.3%
경 1004
 
7.2%
시 1003
 
7.1%
동 870
 
6.2%
지 831
 
5.9%
번 778
 
5.5%
구 424
 
3.0%
양 350
 
2.5%
리 319
 
2.3%
Other values (287) 6403
45.6%

소재지우편번호
Text

Distinct598
Distinct (%)60.2%
Missing8
Missing (%)0.8%
Memory size8.0 KiB
2023-12-11T06:57:49.166570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.8289738
Min length5

Characters and Unicode

Total characters5794
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique410 ?
Unique (%)41.2%

Sample

1st row477800
2nd row12419
3rd row477804
4th row477814
5th row477800
ValueCountFrequency (%)
442070 19
 
1.9%
431060 18
 
1.8%
456030 15
 
1.5%
429450 11
 
1.1%
480010 11
 
1.1%
431080 10
 
1.0%
425020 8
 
0.8%
413010 8
 
0.8%
12646 8
 
0.8%
476802 7
 
0.7%
Other values (588) 879
88.4%
2023-12-11T06:57:49.617546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 1233
21.3%
0 966
16.7%
1 756
13.0%
2 538
9.3%
8 501
8.6%
3 399
 
6.9%
6 394
 
6.8%
5 341
 
5.9%
7 326
 
5.6%
9 324
 
5.6%
Other values (5) 16
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5778
99.7%
Dash Punctuation 10
 
0.2%
Lowercase Letter 4
 
0.1%
Space Separator 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1233
21.3%
0 966
16.7%
1 756
13.1%
2 538
9.3%
8 501
8.7%
3 399
 
6.9%
6 394
 
6.8%
5 341
 
5.9%
7 326
 
5.6%
9 324
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
l 2
50.0%
n 1
25.0%
u 1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5790
99.9%
Latin 4
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
4 1233
21.3%
0 966
16.7%
1 756
13.1%
2 538
9.3%
8 501
8.7%
3 399
 
6.9%
6 394
 
6.8%
5 341
 
5.9%
7 326
 
5.6%
9 324
 
5.6%
Other values (2) 12
 
0.2%
Latin
ValueCountFrequency (%)
l 2
50.0%
n 1
25.0%
u 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5794
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 1233
21.3%
0 966
16.7%
1 756
13.0%
2 538
9.3%
8 501
8.6%
3 399
 
6.9%
6 394
 
6.8%
5 341
 
5.9%
7 326
 
5.6%
9 324
 
5.6%
Other values (5) 16
 
0.3%

WGS84위도
Real number (ℝ)

MISSING 

Distinct819
Distinct (%)84.1%
Missing28
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean37.404816
Minimum36.889125
Maximum38.099308
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-11T06:57:49.741866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.889125
5-th percentile37.015277
Q137.268111
median37.381073
Q337.517359
95-th percentile37.823782
Maximum38.099308
Range1.2101831
Interquartile range (IQR)0.24924788

Descriptive statistics

Standard deviation0.22343178
Coefficient of variation (CV)0.0059733425
Kurtosis-0.19990996
Mean37.404816
Median Absolute Deviation (MAD)0.12139031
Skewness0.37171817
Sum36432.291
Variance0.049921759
MonotonicityNot monotonic
2023-12-11T06:57:49.848842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.249442 5
 
0.5%
37.2115228 5
 
0.5%
37.2681112 5
 
0.5%
37.2799522718 4
 
0.4%
37.3165966 4
 
0.4%
37.8277597876 4
 
0.4%
37.3715256 4
 
0.4%
37.493972 4
 
0.4%
37.4054416 3
 
0.3%
37.2343588 3
 
0.3%
Other values (809) 933
93.1%
(Missing) 28
 
2.8%
ValueCountFrequency (%)
36.8891247 2
0.2%
36.9344601333 1
0.1%
36.9440305 1
0.1%
36.9546662 1
0.1%
36.9630014 1
0.1%
36.9721392 1
0.1%
36.977517 1
0.1%
36.9815811 1
0.1%
36.9826627 1
0.1%
36.9828526 2
0.2%
ValueCountFrequency (%)
38.0993078 1
0.1%
38.0963892 1
0.1%
38.0958578 1
0.1%
38.0898048 1
0.1%
37.9499909 1
0.1%
37.9415491 1
0.1%
37.9094344844 1
0.1%
37.9077720885 1
0.1%
37.9065816 1
0.1%
37.9036565 1
0.1%

WGS84경도
Real number (ℝ)

MISSING 

Distinct819
Distinct (%)84.1%
Missing28
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean127.06616
Minimum126.55493
Maximum127.67063
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-11T06:57:49.959531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.55493
5-th percentile126.75004
Q1126.88237
median127.04202
Q3127.2007
95-th percentile127.50849
Maximum127.67063
Range1.1157028
Interquartile range (IQR)0.31832707

Descriptive statistics

Standard deviation0.2309571
Coefficient of variation (CV)0.001817613
Kurtosis-0.34430755
Mean127.06616
Median Absolute Deviation (MAD)0.15911188
Skewness0.47020635
Sum123762.44
Variance0.053341182
MonotonicityNot monotonic
2023-12-11T06:57:50.067988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.212899 5
 
0.5%
127.2098986 5
 
0.5%
127.5956451 5
 
0.5%
127.0246199987 4
 
0.4%
127.3344492 4
 
0.4%
127.5162723376 4
 
0.4%
126.9520679 4
 
0.4%
127.4981433 4
 
0.4%
126.9569808 3
 
0.3%
127.2024559 3
 
0.3%
Other values (809) 933
93.1%
(Missing) 28
 
2.8%
ValueCountFrequency (%)
126.5549302051 1
0.1%
126.5746202 1
0.1%
126.5750335 2
0.2%
126.5975278 1
0.1%
126.6207286 1
0.1%
126.6477523 1
0.1%
126.6620499 1
0.1%
126.6757216 1
0.1%
126.6947168 1
0.1%
126.6974264318 1
0.1%
ValueCountFrequency (%)
127.670633 1
 
0.1%
127.6402719 1
 
0.1%
127.6349383 1
 
0.1%
127.6348588 1
 
0.1%
127.6338624 1
 
0.1%
127.6337488 2
0.2%
127.632942 2
0.2%
127.6304183 1
 
0.1%
127.6160091 2
0.2%
127.6055301593 3
0.3%

업태구분명정보
Categorical

IMBALANCE 

Distinct29
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
<NA>
764 
하수처리, 폐기물처리 및 청소관련 서비스업
 
44
분뇨 처리업
 
40
하수, 분뇨 및 축산폐기물 처리업
 
28
환경상담 및 관련 엔지니어링 서비스업
 
24
Other values (24)
102 

Length

Max length23
Median length4
Mean length6.4421158
Min length2

Unique

Unique8 ?
Unique (%)0.8%

Sample

1st row폐기물 처리 및 오염방지시설 건설업
2nd row<NA>
3rd row<NA>
4th row하수 처리업
5th row폐기물 처리 및 오염방지시설 건설업

Common Values

ValueCountFrequency (%)
<NA> 764
76.2%
하수처리, 폐기물처리 및 청소관련 서비스업 44
 
4.4%
분뇨 처리업 40
 
4.0%
하수, 분뇨 및 축산폐기물 처리업 28
 
2.8%
환경상담 및 관련 엔지니어링 서비스업 24
 
2.4%
하수, 폐수 및 분뇨 처리업 18
 
1.8%
토목 건설업 11
 
1.1%
엔지니어링 서비스업 11
 
1.1%
폐기물 처리 및 오염방지시설 건설업 9
 
0.9%
하수 처리업 9
 
0.9%
Other values (19) 44
 
4.4%

Length

2023-12-11T06:57:50.183275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 764
46.0%
및 140
 
8.4%
처리업 102
 
6.1%
분뇨 92
 
5.5%
서비스업 90
 
5.4%
하수 55
 
3.3%
하수처리 44
 
2.7%
폐기물처리 44
 
2.7%
청소관련 44
 
2.7%
엔지니어링 40
 
2.4%
Other values (34) 245
 
14.8%

X좌표값
Real number (ℝ)

MISSING 

Distinct596
Distinct (%)80.0%
Missing257
Missing (%)25.6%
Infinite0
Infinite (%)0.0%
Mean206038.29
Minimum160669.4
Maximum259391.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-11T06:57:50.289061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum160669.4
5-th percentile176192.72
Q1189090.76
median203111.7
Q3217793.41
95-th percentile245028.41
Maximum259391.65
Range98722.251
Interquartile range (IQR)28702.65

Descriptive statistics

Standard deviation21420.008
Coefficient of variation (CV)0.1039613
Kurtosis-0.44459279
Mean206038.29
Median Absolute Deviation (MAD)14649.797
Skewness0.47282519
Sum1.5349852 × 108
Variance4.5881675 × 108
MonotonicityNot monotonic
2023-12-11T06:57:50.433563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
252766.308330142 7
 
0.7%
229580.129458235 4
 
0.4%
239780.493031703 4
 
0.4%
209268.321106193 4
 
0.4%
202113.369918799 4
 
0.4%
245380.873689266 4
 
0.4%
195688.283833074 4
 
0.4%
243986.841042303 4
 
0.4%
217901.143274762 3
 
0.3%
213345.713383507 3
 
0.3%
Other values (586) 704
70.3%
(Missing) 257
 
25.6%
ValueCountFrequency (%)
160669.402905584 1
0.1%
162468.531188196 2
0.2%
164303.017526868 1
0.1%
164434.206661484 1
0.1%
165830.761848848 1
0.1%
168872.968495069 1
0.1%
170131.811751256 1
0.1%
173047.122966268 1
0.1%
173094.638675214 2
0.2%
173453.059867469 1
0.1%
ValueCountFrequency (%)
259391.653669238 1
 
0.1%
256704.267167378 1
 
0.1%
256251.80558221 2
0.2%
256226.870674052 1
 
0.1%
256137.719450861 1
 
0.1%
256131.493961634 2
0.2%
256069.464715816 2
0.2%
254681.576106369 2
0.2%
253617.116040565 3
0.3%
253408.296713181 2
0.2%

Y좌표값
Real number (ℝ)

MISSING 

Distinct596
Distinct (%)80.0%
Missing257
Missing (%)25.6%
Infinite0
Infinite (%)0.0%
Mean434860.16
Minimum376502.4
Maximum510406.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-11T06:57:50.569609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum376502.4
5-th percentile396776.73
Q1418689.89
median431732.02
Q3450158.24
95-th percentile477322.84
Maximum510406.87
Range133904.47
Interquartile range (IQR)31468.351

Descriptive statistics

Standard deviation24144.47
Coefficient of variation (CV)0.055522377
Kurtosis-0.26374578
Mean434860.16
Median Absolute Deviation (MAD)13557.716
Skewness0.35583913
Sum3.2397082 × 108
Variance5.8295541 × 108
MonotonicityNot monotonic
2023-12-11T06:57:50.692158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
418635.440135051 7
 
0.7%
423905.47897093 4
 
0.4%
474485.878652846 4
 
0.4%
427643.0746251 4
 
0.4%
419774.207332567 4
 
0.4%
480702.822102242 4
 
0.4%
429949.927814167 4
 
0.4%
443654.03845121 4
 
0.4%
414742.808468759 3
 
0.3%
401401.326053857 3
 
0.3%
Other values (586) 704
70.3%
(Missing) 257
 
25.6%
ValueCountFrequency (%)
376502.397501 2
0.2%
381444.322214794 1
0.1%
383687.333070872 1
0.1%
385205.072018064 2
0.2%
385627.5087312 1
0.1%
387059.763819442 1
0.1%
387521.674861386 1
0.1%
388211.254779376 1
0.1%
389027.844045901 1
0.1%
389334.612165451 1
0.1%
ValueCountFrequency (%)
510406.868408091 1
0.1%
510348.47706008 1
0.1%
509682.0 1
0.1%
494196.763704087 1
0.1%
493217.333703586 1
0.1%
489487.348661796 1
0.1%
487572.937049565 2
0.2%
487431.205875366 1
0.1%
486518.080896919 1
0.1%
486330.045779878 1
0.1%

환경업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
분뇨등설계시공업관리
1002 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
분뇨등설계시공업관리 1002
100.0%

Length

2023-12-11T06:57:50.799043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:57:50.874050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
분뇨등설계시공업관리 1002
100.0%

업종구분명정보
Categorical

IMBALANCE 

Distinct29
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
<NA>
764 
하수처리, 폐기물처리 및 청소관련 서비스업
 
44
분뇨 처리업
 
40
하수, 분뇨 및 축산폐기물 처리업
 
28
환경상담 및 관련 엔지니어링 서비스업
 
24
Other values (24)
102 

Length

Max length23
Median length4
Mean length6.4421158
Min length2

Unique

Unique8 ?
Unique (%)0.8%

Sample

1st row폐기물 처리 및 오염방지시설 건설업
2nd row<NA>
3rd row<NA>
4th row하수 처리업
5th row폐기물 처리 및 오염방지시설 건설업

Common Values

ValueCountFrequency (%)
<NA> 764
76.2%
하수처리, 폐기물처리 및 청소관련 서비스업 44
 
4.4%
분뇨 처리업 40
 
4.0%
하수, 분뇨 및 축산폐기물 처리업 28
 
2.8%
환경상담 및 관련 엔지니어링 서비스업 24
 
2.4%
하수, 폐수 및 분뇨 처리업 18
 
1.8%
토목 건설업 11
 
1.1%
엔지니어링 서비스업 11
 
1.1%
폐기물 처리 및 오염방지시설 건설업 9
 
0.9%
하수 처리업 9
 
0.9%
Other values (19) 44
 
4.4%

Length

2023-12-11T06:57:50.979789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 764
46.0%
및 140
 
8.4%
처리업 102
 
6.1%
분뇨 92
 
5.5%
서비스업 90
 
5.4%
하수 55
 
3.3%
하수처리 44
 
2.7%
폐기물처리 44
 
2.7%
청소관련 44
 
2.7%
엔지니어링 40
 
2.4%
Other values (34) 245
 
14.8%

종별명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1002
Missing (%)100.0%
Memory size8.9 KiB

주생산품명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1002
Missing (%)100.0%
Memory size8.9 KiB

배출시설조업시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1002
Missing (%)100.0%
Memory size8.9 KiB

배출시설연간가동일수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
<NA>
929 
0
 
73

Length

Max length4
Median length4
Mean length3.7814371
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 929
92.7%
0 73
 
7.3%

Length

2023-12-11T06:57:51.112704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:57:51.196103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 929
92.7%
0 73
 
7.3%

방지시설조업시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1002
Missing (%)100.0%
Memory size8.9 KiB

방지시설연간가동일수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
<NA>
929 
0
 
73

Length

Max length4
Median length4
Mean length3.7814371
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 929
92.7%
0 73
 
7.3%

Length

2023-12-11T06:57:51.283055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:57:51.376362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 929
92.7%
0 73
 
7.3%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값환경업무구분명업종구분명정보종별명주생산품명정보배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
0가평군대호건설주식회사19990322<NA>11영업20001202031 582 6551<NA><NA>경기도 가평군 가평읍 석봉로 193 (읍내리)경기도 가평군 가평읍 읍내리 609번지47780037.832208127.509381폐기물 처리 및 오염방지시설 건설업244779.526541481200.36566분뇨등설계시공업관리폐기물 처리 및 오염방지시설 건설업<NA><NA><NA><NA><NA><NA>
1가평군삼보환경기술(주)2016-10-07<NA>11영업<NA><NA><NA>12419경기도 가평군 가평읍 태평길 20, 3층경기도 가평군 가평읍 읍내리 3571241937.82776127.516272<NA>245380.873689480702.822102분뇨등설계시공업관리<NA><NA><NA><NA>0<NA>0
2가평군유성환경건설(주)19990208<NA>11영업<NA>0315813388<NA>477800경기도 가평군 가평읍 광장로 3경기도 가평군 가평읍 대곡리 261-147780437.826264127.511454<NA>244961.730524480528.474811분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
3가평군(주)한신환경기업20191226<NA>11영업<NA>0315859677<NA>477814경기도 가평군 청평면 상천역로 5경기도 가평군 청평면 상천리47781437.771932127.452253하수 처리업239780.493032474485.878653분뇨등설계시공업관리하수 처리업<NA><NA><NA><NA><NA><NA>
4가평군북부건설주식회사19990421<NA>11영업20030407031 582 5306<NA><NA>경기도 가평군 가평읍 보납로34번길 2 (읍내리)경기도 가평군 가평읍 읍내리 408-1 번지47780037.830736127.514221폐기물 처리 및 오염방지시설 건설업<NA><NA>분뇨등설계시공업관리폐기물 처리 및 오염방지시설 건설업<NA><NA><NA><NA><NA><NA>
5가평군(주)한신환경기업20071109<NA>11영업<NA>0315859677<NA>477814경기도 가평군 청평면 상천역로 5경기도 가평군 청평면 상천리47781437.771932127.452253<NA>239780.493032474485.878653분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
6가평군진도환경(주)20000523<NA>11영업20040709031 581 0222<NA><NA>경기도 가평군 가평읍 석봉로 193 (읍내리)경기도 가평군 가평읍 읍내리 609번지47780237.832208127.509381환경상담 및 관련 엔지니어링 서비스업244779.526541481200.36566분뇨등설계시공업관리환경상담 및 관련 엔지니어링 서비스업<NA><NA><NA><NA><NA><NA>
7가평군삼보환경기술(주)2023-05-08<NA>11영업<NA><NA><NA>12419경기도 가평군 가평읍 태평길 20, 3층경기도 가평군 가평읍 읍내리 3571241937.82776127.516272<NA>245380.873689480702.822102분뇨등설계시공업관리<NA><NA><NA><NA>0<NA>0
8가평군(주)한백환경건설19990507<NA>11영업20030317031 580 5020<NA><NA>경기도 가평군 가평읍 연인2길 9경기도 가평군 가평읍 읍내리 461-16번지47780537.82987127.512386건축설계 및 관련 서비스업245045.584691480942.63614분뇨등설계시공업관리건축설계 및 관련 서비스업<NA><NA><NA><NA><NA><NA>
9가평군(주)일진환경건설2007-01-11<NA>11영업<NA>0315812021<NA>477-805경기도 가평군 가평읍 보납로6번길 11경기도 가평군 가평읍 읍내리 490-1477-80537.830266127.511534하수 처리업244964.284636480976.446688분뇨등설계시공업관리하수 처리업<NA><NA><NA>0<NA>0
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값환경업무구분명업종구분명정보종별명주생산품명정보배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
992화성시성화환경<NA><NA>2폐업200909212549000<NA><NA>경기도 화성시 효행로 626 (안녕동)경기도 화성시 안녕동 151-18번지44538037.201963127.000697<NA>199996.897395411129.262314분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
993화성시(주)태림이엔티<NA><NA>2폐업20161109031-354-4933<NA>445913경기도 화성시 팔탄면 서해로1121번길 4, 103동 113호 (발안현대공구타운)경기도 화성시 팔탄면 율암리 580-3번지 발안현대공구타운 103동 113호44591337.162066126.890311<NA>190251.145309406724.231901분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
994화성시사회복지법인월남참전전우회20031122<NA>2폐업20090323<NA><NA><NA>경기도 화성시 향남읍 솔태상두길 281-30경기도 화성시 향남읍 백토리 226-544592437.113503126.948607<NA><NA><NA>분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
995화성시테마환경건설(주)20001227<NA>2폐업20090331<NA><NA><NA><NA>경기도 화성시 봉담읍 상기리 산 148445890<NA><NA><NA><NA><NA>분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
996화성시대주환경20071226<NA>2폐업20110405031-356-4483<NA><NA>경기도 화성시 팔탄면 시청로 760, 1동 204호경기도 화성시 팔탄면 율암리 398-73 1동 204호44591337.170259126.876387<NA>188963.326887407582.562995분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
997화성시(주)세계환경20070309<NA>2폐업20080516<NA><NA><NA>경기도 화성시 향남읍 배터길 104경기도 화성시 향남읍 장짐리 92-5null37.139099126.901301<NA><NA><NA>분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
998화성시(주)한국기시19960820<NA>2폐업20110328031 352 7416<NA><NA>경기도 화성시 정남면 괘랑2길 45경기도 화성시 정남면 괘랑리 499-944596537.186792126.99198<NA>199219.22223409436.051723분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
999화성시해성엔지니어링(주)20040302<NA>2폐업20090401031 354 3289<NA><NA>경기도 화성시 정남면 괘랑3길13번길 8경기도 화성시 정남면 괘랑리 402-144596337.184894126.994843<NA>199475.269611409245.601862분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
1000<NA>태광에스엠씨(주)<NA><NA>11영업<NA><NA><NA><NA>충청북도 진천군 이월면 송두4길 56-55 (중산리)충청북도 진천군 이월면 중산리 5-1번지2782036.889125127.44642<NA>239727.65291376502.397501분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
1001<NA>태광에스엠씨(주)<NA><NA>11영업<NA><NA><NA><NA>충청북도 진천군 이월면 송두4길 56-55 (중산리)충청북도 진천군 이월면 중산리 5-1번지2782036.889125127.44642<NA>239727.65291376502.397501분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

시군명사업장명인허가일자영업상태구분코드영업상태명폐업일자소재지시설전화번호도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값환경업무구분명업종구분명정보배출시설연간가동일수방지시설연간가동일수# duplicates
0광주시신창환경이엔지(주)<NA>11영업<NA>031-798-762812814경기도 광주시 도척면 도척로 408경기도 광주시 도척면 진우리 369-1번지1281437.316597127.334449토목 건설업229580.129458423905.478971분뇨등설계시공업관리토목 건설업<NA><NA>3
1성남시벽산엔지니어링(주)<NA>11영업<NA>027675566<NA>경기도 성남시 분당구 벌말로50번길 41 (야탑동)경기도 성남시 분당구 야탑동 219-3번지46383637.411864127.14315<NA>212608.265238434433.262208분뇨등설계시공업관리<NA><NA><NA>2
2성남시서원건설(주)200107232폐업<NA><NA><NA>경기도 성남시 수정구 수정로 180 (신흥동)경기도 성남시 수정구 신흥동 5513번지46181337.443051127.139954<NA>212320.889986437896.151963분뇨등설계시공업관리<NA><NA><NA>2
3수원시(주)대광산업개발199802052폐업20050711<NA><NA>경기도 수원시 팔달구 팔달문로 74-1 (지동)경기도 수원시 팔달구 지동 134-844283637.279952127.02462<NA>202113.369919419774.207333분뇨등설계시공업관리<NA><NA><NA>2
4양평군신인E&E(주)200111192폐업200507210317749385<NA><NA>경기도 양평군 양서면 국수리 348-1번지47682137.510244127.397601<NA>235088.847208445416.459248분뇨등설계시공업관리<NA><NA><NA>2
5<NA>태광에스엠씨(주)<NA>11영업<NA><NA><NA>충청북도 진천군 이월면 송두4길 56-55 (중산리)충청북도 진천군 이월면 중산리 5-1번지2782036.889125127.44642<NA>239727.65291376502.397501분뇨등설계시공업관리<NA><NA><NA>2