Overview

Dataset statistics

Number of variables10
Number of observations119
Missing cells0
Missing cells (%)0.0%
Duplicate rows3
Duplicate rows (%)2.5%
Total size in memory9.4 KiB
Average record size in memory81.1 B

Variable types

Text5
DateTime1
Categorical4

Dataset

Description비산먼지사업장(사업장명, 공사장소, 공사내역, 공사시작일자, 공사종료일자, 발생사업, 공사규모, 관리기관명, 관리기관연락처 등) 정보 공개
URLhttps://www.data.go.kr/data/3079400/fileData.do

Alerts

관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 3 (2.5%) duplicate rowsDuplicates
발생사업 is highly imbalanced (50.3%)Imbalance

Reproduction

Analysis started2023-12-12 14:07:48.683301
Analysis finished2023-12-12 14:07:49.623181
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명
Text

Distinct79
Distinct (%)66.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T23:07:49.805086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length6.4789916
Min length2

Characters and Unicode

Total characters771
Distinct characters133
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)58.8%

Sample

1st row한길종합건설(주)
2nd row개인
3rd row김녕김씨시휘공파종중
4th row(주)에스제이건설산업
5th row(주)비제이건설
ValueCountFrequency (%)
개인 33
23.1%
주식회사 20
 
14.0%
아일랜드리조트 2
 
1.4%
주영건설(주 2
 
1.4%
주)대준 2
 
1.4%
주)영성종합건설 2
 
1.4%
한길종합건설(주 2
 
1.4%
고성종합건설 2
 
1.4%
주)어반씨앤디 2
 
1.4%
우현건설 2
 
1.4%
Other values (74) 74
51.7%
2023-12-12T23:07:50.229532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 80
 
10.4%
) 57
 
7.4%
( 57
 
7.4%
건 43
 
5.6%
개 37
 
4.8%
인 37
 
4.8%
설 37
 
4.8%
24
 
3.1%
회 22
 
2.9%
사 21
 
2.7%
Other values (123) 356
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 632
82.0%
Close Punctuation 57
 
7.4%
Open Punctuation 57
 
7.4%
Space Separator 24
 
3.1%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 80
 
12.7%
건 43
 
6.8%
개 37
 
5.9%
인 37
 
5.9%
설 37
 
5.9%
회 22
 
3.5%
사 21
 
3.3%
종 20
 
3.2%
식 20
 
3.2%
합 19
 
3.0%
Other values (119) 296
46.8%
Close Punctuation
ValueCountFrequency (%)
) 57
100.0%
Open Punctuation
ValueCountFrequency (%)
( 57
100.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 632
82.0%
Common 139
 
18.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 80
 
12.7%
건 43
 
6.8%
개 37
 
5.9%
인 37
 
5.9%
설 37
 
5.9%
회 22
 
3.5%
사 21
 
3.3%
종 20
 
3.2%
식 20
 
3.2%
합 19
 
3.0%
Other values (119) 296
46.8%
Common
ValueCountFrequency (%)
) 57
41.0%
( 57
41.0%
24
17.3%
2 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 632
82.0%
ASCII 139
 
18.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 80
 
12.7%
건 43
 
6.8%
개 37
 
5.9%
인 37
 
5.9%
설 37
 
5.9%
회 22
 
3.5%
사 21
 
3.3%
종 20
 
3.2%
식 20
 
3.2%
합 19
 
3.0%
Other values (119) 296
46.8%
ASCII
ValueCountFrequency (%)
) 57
41.0%
( 57
41.0%
24
17.3%
2 1
 
0.7%

공사장소재지
Text

Distinct116
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T23:07:50.583013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length93
Median length34
Mean length20.235294
Min length6

Characters and Unicode

Total characters2408
Distinct characters67
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)95.0%

Sample

1st row경기도 동두천시 동두천동 541-4
2nd row경기도 동두천시 상패동 1037-3
3rd row경기도 동두천시 상패동 887
4th row경기도 동두천시 송내동 595-1 외 5필지
5th row경기도 동두천시 상패동 693-1 ~ 332-1
ValueCountFrequency (%)
동두천시 80
 
15.1%
경기도 57
 
10.8%
외 34
 
6.4%
상패동 27
 
5.1%
송내동 16
 
3.0%
생연동 15
 
2.8%
일원 14
 
2.6%
탑동동 14
 
2.6%
하봉암동 9
 
1.7%
안흥동 8
 
1.5%
Other values (200) 255
48.2%
2023-12-12T23:07:51.088759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
450
18.7%
동 224
 
9.3%
1 112
 
4.7%
- 107
 
4.4%
지 105
 
4.4%
3 99
 
4.1%
두 89
 
3.7%
천 89
 
3.7%
2 86
 
3.6%
시 80
 
3.3%
Other values (57) 967
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1210
50.2%
Decimal Number 630
26.2%
Space Separator 450
 
18.7%
Dash Punctuation 107
 
4.4%
Math Symbol 5
 
0.2%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 224
18.5%
지 105
 
8.7%
두 89
 
7.4%
천 89
 
7.4%
시 80
 
6.6%
번 66
 
5.5%
도 58
 
4.8%
기 57
 
4.7%
경 57
 
4.7%
외 38
 
3.1%
Other values (41) 347
28.7%
Decimal Number
ValueCountFrequency (%)
1 112
17.8%
3 99
15.7%
2 86
13.7%
5 65
10.3%
4 58
9.2%
6 58
9.2%
7 45
7.1%
9 39
 
6.2%
8 37
 
5.9%
0 31
 
4.9%
Space Separator
ValueCountFrequency (%)
450
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 107
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
' 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1210
50.2%
Common 1198
49.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 224
18.5%
지 105
 
8.7%
두 89
 
7.4%
천 89
 
7.4%
시 80
 
6.6%
번 66
 
5.5%
도 58
 
4.8%
기 57
 
4.7%
경 57
 
4.7%
외 38
 
3.1%
Other values (41) 347
28.7%
Common
ValueCountFrequency (%)
450
37.6%
1 112
 
9.3%
- 107
 
8.9%
3 99
 
8.3%
2 86
 
7.2%
5 65
 
5.4%
4 58
 
4.8%
6 58
 
4.8%
7 45
 
3.8%
9 39
 
3.3%
Other values (6) 79
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1210
50.2%
ASCII 1198
49.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
450
37.6%
1 112
 
9.3%
- 107
 
8.9%
3 99
 
8.3%
2 86
 
7.2%
5 65
 
5.4%
4 58
 
4.8%
6 58
 
4.8%
7 45
 
3.8%
9 39
 
3.3%
Other values (6) 79
 
6.6%
Hangul
ValueCountFrequency (%)
동 224
18.5%
지 105
 
8.7%
두 89
 
7.4%
천 89
 
7.4%
시 80
 
6.6%
번 66
 
5.5%
도 58
 
4.8%
기 57
 
4.7%
경 57
 
4.7%
외 38
 
3.1%
Other values (41) 347
28.7%

공사내역
Text

Distinct104
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T23:07:51.333023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length25
Mean length14.781513
Min length4

Characters and Unicode

Total characters1759
Distinct characters215
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

Unique93 ?
Unique (%)78.2%

Sample

1st row(주)그린레더 신축공사
2nd row농지조성 및 농지정리공사
3rd row종중 자연장지 부지조성
4th row동두천시 송내동 근린생활시설 신축공사
5th row2023년 상패천 소규모 준설공사
ValueCountFrequency (%)
신축공사 24
 
6.5%
및 24
 
6.5%
부지조성 22
 
5.9%
근린생활시설 11
 
3.0%
단독주택 9
 
2.4%
신축 7
 
1.9%
동두천시 6
 
1.6%
부지 6
 
1.6%
제2종 6
 
1.6%
데이터미집계 5
 
1.4%
Other values (185) 250
67.6%
2023-12-12T23:07:51.784075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
258
 
14.7%
사 70
 
4.0%
공 64
 
3.6%
지 58
 
3.3%
시 48
 
2.7%
설 44
 
2.5%
조 42
 
2.4%
축 41
 
2.3%
성 39
 
2.2%
동 38
 
2.2%
Other values (205) 1057
60.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1374
78.1%
Space Separator 258
 
14.7%
Decimal Number 70
 
4.0%
Open Punctuation 21
 
1.2%
Close Punctuation 21
 
1.2%
Dash Punctuation 11
 
0.6%
Math Symbol 2
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 70
 
5.1%
공 64
 
4.7%
지 58
 
4.2%
시 48
 
3.5%
설 44
 
3.2%
조 42
 
3.1%
축 41
 
3.0%
성 39
 
2.8%
동 38
 
2.8%
신 37
 
2.7%
Other values (189) 893
65.0%
Decimal Number
ValueCountFrequency (%)
2 24
34.3%
1 17
24.3%
3 9
 
12.9%
0 6
 
8.6%
6 6
 
8.6%
5 4
 
5.7%
8 2
 
2.9%
9 1
 
1.4%
4 1
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
I 1
50.0%
Space Separator
ValueCountFrequency (%)
258
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1374
78.1%
Common 383
 
21.8%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 70
 
5.1%
공 64
 
4.7%
지 58
 
4.2%
시 48
 
3.5%
설 44
 
3.2%
조 42
 
3.1%
축 41
 
3.0%
성 39
 
2.8%
동 38
 
2.8%
신 37
 
2.7%
Other values (189) 893
65.0%
Common
ValueCountFrequency (%)
258
67.4%
2 24
 
6.3%
( 21
 
5.5%
) 21
 
5.5%
1 17
 
4.4%
- 11
 
2.9%
3 9
 
2.3%
0 6
 
1.6%
6 6
 
1.6%
5 4
 
1.0%
Other values (4) 6
 
1.6%
Latin
ValueCountFrequency (%)
S 1
50.0%
I 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1374
78.1%
ASCII 385
 
21.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
258
67.0%
2 24
 
6.2%
( 21
 
5.5%
) 21
 
5.5%
1 17
 
4.4%
- 11
 
2.9%
3 9
 
2.3%
0 6
 
1.6%
6 6
 
1.6%
5 4
 
1.0%
Other values (6) 8
 
2.1%
Hangul
ValueCountFrequency (%)
사 70
 
5.1%
공 64
 
4.7%
지 58
 
4.2%
시 48
 
3.5%
설 44
 
3.2%
조 42
 
3.1%
축 41
 
3.0%
성 39
 
2.8%
동 38
 
2.8%
신 37
 
2.7%
Other values (189) 893
65.0%

공사시작일자
Date

Distinct103
Distinct (%)86.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1996-10-28 00:00:00
Maximum2023-06-01 00:00:00
2023-12-12T23:07:52.015378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:52.152503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공사종료일자
Text

Distinct77
Distinct (%)64.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T23:07:52.442591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.5294118
Min length6

Characters and Unicode

Total characters1134
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)52.9%

Sample

1st row2023-11-30
2nd row2023-07-30
3rd row2024-04-24
4th row2023-08-31
5th row2023-06-21
ValueCountFrequency (%)
2023-12-31 15
 
12.6%
데이터미집계 14
 
11.8%
2024-12-31 3
 
2.5%
2023-05-30 3
 
2.5%
2023-02-28 3
 
2.5%
2023-03-31 2
 
1.7%
2023-06-30 2
 
1.7%
2023-04-30 2
 
1.7%
2024-03-17 2
 
1.7%
2023-07-25 2
 
1.7%
Other values (67) 71
59.7%
2023-12-12T23:07:52.943619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 266
23.5%
0 218
19.2%
- 210
18.5%
3 128
11.3%
1 102
 
9.0%
4 41
 
3.6%
5 22
 
1.9%
7 17
 
1.5%
8 17
 
1.5%
6 15
 
1.3%
Other values (7) 98
 
8.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 840
74.1%
Dash Punctuation 210
 
18.5%
Other Letter 84
 
7.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 266
31.7%
0 218
26.0%
3 128
15.2%
1 102
 
12.1%
4 41
 
4.9%
5 22
 
2.6%
7 17
 
2.0%
8 17
 
2.0%
6 15
 
1.8%
9 14
 
1.7%
Other Letter
ValueCountFrequency (%)
미 14
16.7%
계 14
16.7%
집 14
16.7%
터 14
16.7%
이 14
16.7%
데 14
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 210
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1050
92.6%
Hangul 84
 
7.4%

Most frequent character per script

Common
ValueCountFrequency (%)
2 266
25.3%
0 218
20.8%
- 210
20.0%
3 128
12.2%
1 102
 
9.7%
4 41
 
3.9%
5 22
 
2.1%
7 17
 
1.6%
8 17
 
1.6%
6 15
 
1.4%
Hangul
ValueCountFrequency (%)
미 14
16.7%
계 14
16.7%
집 14
16.7%
터 14
16.7%
이 14
16.7%
데 14
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1050
92.6%
Hangul 84
 
7.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 266
25.3%
0 218
20.8%
- 210
20.0%
3 128
12.2%
1 102
 
9.7%
4 41
 
3.9%
5 22
 
2.1%
7 17
 
1.6%
8 17
 
1.6%
6 15
 
1.4%
Hangul
ValueCountFrequency (%)
미 14
16.7%
계 14
16.7%
집 14
16.7%
터 14
16.7%
이 14
16.7%
데 14
16.7%

발생사업
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
건설업
95 
데이터미집계
11 
비금속물질채취·제조·가공업
11 
시멘트·석회·프라스터및시멘트관련제품제조및가공업
 
2

Length

Max length25
Median length3
Mean length4.6638655
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row데이터미집계
2nd row데이터미집계
3rd row건설업
4th row데이터미집계
5th row데이터미집계

Common Values

ValueCountFrequency (%)
건설업 95
79.8%
데이터미집계 11
 
9.2%
비금속물질채취·제조·가공업 11
 
9.2%
시멘트·석회·프라스터및시멘트관련제품제조및가공업 2
 
1.7%

Length

2023-12-12T23:07:53.104869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:07:53.225232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건설업 95
79.8%
데이터미집계 11
 
9.2%
비금속물질채취·제조·가공업 11
 
9.2%
시멘트·석회·프라스터및시멘트관련제품제조및가공업 2
 
1.7%

공사규모
Text

Distinct116
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T23:07:53.617839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length31
Mean length19.386555
Min length7

Characters and Unicode

Total characters2307
Distinct characters123
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)95.0%

Sample

1st row건축물축조공사 (1803.12㎡)
2nd row지반조성공사중농지조성및농지정리공사 (1937㎡)
3rd row토목공사 (대지면적: 1045㎡)
4th row건축물축조공사 (2556㎡)
5th row토목공사 (연장 0.466㎞)
ValueCountFrequency (%)
건축물축조공사 60
 
19.2%
토목공사 32
 
10.2%
연면적 12
 
3.8%
대지면적 7
 
2.2%
그 6
 
1.9%
밖의 6
 
1.9%
공사 6
 
1.9%
비금속광물 5
 
1.6%
분쇄물 5
 
1.6%
생산업 5
 
1.6%
Other values (155) 169
54.0%
2023-12-12T23:07:54.227352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
195
 
8.5%
( 129
 
5.6%
) 129
 
5.6%
축 128
 
5.5%
사 120
 
5.2%
공 119
 
5.2%
㎡ 110
 
4.8%
조 78
 
3.4%
물 75
 
3.3%
1 75
 
3.3%
Other values (113) 1149
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1053
45.6%
Decimal Number 567
24.6%
Space Separator 195
 
8.5%
Open Punctuation 129
 
5.6%
Close Punctuation 129
 
5.6%
Other Symbol 112
 
4.9%
Other Punctuation 80
 
3.5%
Uppercase Letter 21
 
0.9%
Math Symbol 13
 
0.6%
Lowercase Letter 8
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
축 128
 
12.2%
사 120
 
11.4%
공 119
 
11.3%
조 78
 
7.4%
물 75
 
7.1%
건 70
 
6.6%
토 36
 
3.4%
적 35
 
3.3%
면 34
 
3.2%
목 32
 
3.0%
Other values (86) 326
31.0%
Decimal Number
ValueCountFrequency (%)
1 75
13.2%
4 69
12.2%
2 65
11.5%
0 60
10.6%
9 59
10.4%
3 56
9.9%
6 50
8.8%
5 50
8.8%
7 42
7.4%
8 41
7.2%
Uppercase Letter
ValueCountFrequency (%)
L 8
38.1%
M 7
33.3%
K 4
19.0%
B 2
 
9.5%
Other Symbol
ValueCountFrequency (%)
㎡ 110
98.2%
㎞ 1
 
0.9%
㎥ 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
. 49
61.3%
: 28
35.0%
· 3
 
3.8%
Math Symbol
ValueCountFrequency (%)
= 12
92.3%
> 1
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
m 6
75.0%
k 2
 
25.0%
Space Separator
ValueCountFrequency (%)
195
100.0%
Open Punctuation
ValueCountFrequency (%)
( 129
100.0%
Close Punctuation
ValueCountFrequency (%)
) 129
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1225
53.1%
Hangul 1053
45.6%
Latin 29
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
축 128
 
12.2%
사 120
 
11.4%
공 119
 
11.3%
조 78
 
7.4%
물 75
 
7.1%
건 70
 
6.6%
토 36
 
3.4%
적 35
 
3.3%
면 34
 
3.2%
목 32
 
3.0%
Other values (86) 326
31.0%
Common
ValueCountFrequency (%)
195
15.9%
( 129
10.5%
) 129
10.5%
㎡ 110
 
9.0%
1 75
 
6.1%
4 69
 
5.6%
2 65
 
5.3%
0 60
 
4.9%
9 59
 
4.8%
3 56
 
4.6%
Other values (11) 278
22.7%
Latin
ValueCountFrequency (%)
L 8
27.6%
M 7
24.1%
m 6
20.7%
K 4
13.8%
B 2
 
6.9%
k 2
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1139
49.4%
Hangul 1053
45.6%
CJK Compat 112
 
4.9%
None 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
195
17.1%
( 129
11.3%
) 129
11.3%
1 75
 
6.6%
4 69
 
6.1%
2 65
 
5.7%
0 60
 
5.3%
9 59
 
5.2%
3 56
 
4.9%
6 50
 
4.4%
Other values (13) 252
22.1%
Hangul
ValueCountFrequency (%)
축 128
 
12.2%
사 120
 
11.4%
공 119
 
11.3%
조 78
 
7.4%
물 75
 
7.1%
건 70
 
6.6%
토 36
 
3.4%
적 35
 
3.3%
면 34
 
3.2%
목 32
 
3.0%
Other values (86) 326
31.0%
CJK Compat
ValueCountFrequency (%)
㎡ 110
98.2%
㎞ 1
 
0.9%
㎥ 1
 
0.9%
None
ValueCountFrequency (%)
· 3
100.0%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
경기도 동두천시청 환경보호과
119 

Length

Max length15
Median length15
Mean length15
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 동두천시청 환경보호과
2nd row경기도 동두천시청 환경보호과
3rd row경기도 동두천시청 환경보호과
4th row경기도 동두천시청 환경보호과
5th row경기도 동두천시청 환경보호과

Common Values

ValueCountFrequency (%)
경기도 동두천시청 환경보호과 119
100.0%

Length

2023-12-12T23:07:54.381432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:07:54.485705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 119
33.3%
동두천시청 119
33.3%
환경보호과 119
33.3%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
031-860-2257
119 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-860-2257
2nd row031-860-2257
3rd row031-860-2257
4th row031-860-2257
5th row031-860-2257

Common Values

ValueCountFrequency (%)
031-860-2257 119
100.0%

Length

2023-12-12T23:07:54.585999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:07:54.680107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-860-2257 119
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-05-22
119 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-22
2nd row2023-05-22
3rd row2023-05-22
4th row2023-05-22
5th row2023-05-22

Common Values

ValueCountFrequency (%)
2023-05-22 119
100.0%

Length

2023-12-12T23:07:54.786669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:07:54.903609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-22 119
100.0%

Correlations

2023-12-12T23:07:54.964180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장명공사종료일자발생사업
사업장명1.0000.9340.964
공사종료일자0.9341.0000.000
발생사업0.9640.0001.000

Missing values

2023-12-12T23:07:49.426399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:07:49.565179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

사업장명공사장소재지공사내역공사시작일자공사종료일자발생사업공사규모관리기관명관리기관전화번호데이터기준일자
0한길종합건설(주)경기도 동두천시 동두천동 541-4(주)그린레더 신축공사2023-06-012023-11-30데이터미집계건축물축조공사 (1803.12㎡)경기도 동두천시청 환경보호과031-860-22572023-05-22
1개인경기도 동두천시 상패동 1037-3농지조성 및 농지정리공사2023-05-112023-07-30데이터미집계지반조성공사중농지조성및농지정리공사 (1937㎡)경기도 동두천시청 환경보호과031-860-22572023-05-22
2김녕김씨시휘공파종중경기도 동두천시 상패동 887종중 자연장지 부지조성2023-04-252024-04-24건설업토목공사 (대지면적: 1045㎡)경기도 동두천시청 환경보호과031-860-22572023-05-22
3(주)에스제이건설산업경기도 동두천시 송내동 595-1 외 5필지동두천시 송내동 근린생활시설 신축공사2023-04-242023-08-31데이터미집계건축물축조공사 (2556㎡)경기도 동두천시청 환경보호과031-860-22572023-05-22
4(주)비제이건설경기도 동두천시 상패동 693-1 ~ 332-12023년 상패천 소규모 준설공사2023-03-242023-06-21데이터미집계토목공사 (연장 0.466㎞)경기도 동두천시청 환경보호과031-860-22572023-05-22
5개인경기도 동두천시 상봉암동 312-2 외 1필지제2종 근린생활시설 및 진 출입로 부지조성2023-03-302023-12-31건설업지반조성공사중건축물해체공사·토공사및정지공사 (3528㎡)경기도 동두천시청 환경보호과031-860-22572023-05-22
6장앤김경기도 동두천시 상패동 329-1제2종근린생활시설 부지 신축2023-03-132023-07-31건설업그 밖의 공사 (3885㎡)경기도 동두천시청 환경보호과031-860-22572023-05-22
7개인경기도 동두천시 하봉암동 151-2제2종 근린생활시설(사무소) 신축2023-03-082023-12-31건설업건축물축조공사 (대지면적 2274㎡)경기도 동두천시청 환경보호과031-860-22572023-05-22
8개인경기도 동두천시 하봉암동 151-2제2종 근린생활시설(사무소) 신축2023-03-082023-12-31건설업건축물축조공사 (대지면적 2274㎡)경기도 동두천시청 환경보호과031-860-22572023-05-22
9개인경기도 동두천시 광암동 43관광농원 부지조성2023-03-082023-12-31건설업건축물축조공사 (4980㎡)경기도 동두천시청 환경보호과031-860-22572023-05-22
사업장명공사장소재지공사내역공사시작일자공사종료일자발생사업공사규모관리기관명관리기관전화번호데이터기준일자
109주식회사 신명데이터미집계건설폐기물중간처리업2009-03-31데이터미집계비금속물질채취·제조·가공업건설폐기물처리업 (사업장 부지=2021㎥)경기도 동두천시청 환경보호과031-860-22572023-05-22
110이순산업(주)동두천경기도 동두천시 상패동 331 332번지레미콘제조2004-05-01데이터미집계시멘트·석회·프라스터및시멘트관련제품제조및가공업시멘트제조·가공및저장업 (4415㎡)경기도 동두천시청 환경보호과031-860-22572023-05-22
111(주)동원연탄경기도 동두천시 동두천동 299번지석탄제품제조2003-02-17데이터미집계비금속물질채취·제조·가공업석탄제품제조업및아스콘제조업 (9998.0㎡)경기도 동두천시청 환경보호과031-860-22572023-05-22
112칠성건재경기도 동두천시 동두천동 252-2번지골재판매2002-12-18데이터미집계비금속물질채취·제조·가공업토사석광업 (594㎡)경기도 동두천시청 환경보호과031-860-22572023-05-22
113오복골재경기도 동두천시 송내동 518-7번지토사석보관 판매2001-08-28데이터미집계비금속물질채취·제조·가공업토사석광업 (300평)경기도 동두천시청 환경보호과031-860-22572023-05-22
114동해기계공업(주)경기도 동두천시 상패동 312번지 1호 4호데이터미집계2000-08-02데이터미집계비금속물질채취·제조·가공업비금속광물 분쇄물 생산업 (7617㎡)경기도 동두천시청 환경보호과031-860-22572023-05-22
115(주)한일엔텍경기도 동두천시 송내동 468번지 2호데이터미집계2000-05-10데이터미집계비금속물질채취·제조·가공업비금속광물 분쇄물 생산업 (8141㎡)경기도 동두천시청 환경보호과031-860-22572023-05-22
116(주)두성기업경기도 동두천시 상패동 641번지 2호 외 8필지(641 641-2 632-2 632-3 633-1 640-1 640-2 640-3 640 639-1)데이터미집계1996-12-03데이터미집계비금속물질채취·제조·가공업비금속광물 분쇄물 생산업 (2342㎡)경기도 동두천시청 환경보호과031-860-22572023-05-22
117(주)수도환경경기도 동두천시 상패동 318번지데이터미집계1996-10-28데이터미집계비금속물질채취·제조·가공업건설폐기물처리업 (4336㎡)경기도 동두천시청 환경보호과031-860-22572023-05-22
118(주)참마루이엔티경기도 동두천시 송내동 463데이터미집계1997-09-10데이터미집계비금속물질채취·제조·가공업비금속광물 분쇄물 생산업 (2222㎡)경기도 동두천시청 환경보호과031-860-22572023-05-22

Duplicate rows

Most frequently occurring

사업장명공사장소재지공사내역공사시작일자공사종료일자발생사업공사규모관리기관명관리기관전화번호데이터기준일자# duplicates
0개인경기도 동두천시 하봉암동 151-2제2종 근린생활시설(사무소) 신축2023-03-082023-12-31건설업건축물축조공사 (대지면적 2274㎡)경기도 동두천시청 환경보호과031-860-22572023-05-222
1주식회사 고성종합건설경기도 동두천시 보산동 353-6 353-80보산동 353-80 6번지 단지형 다세대주택 신축공사2023-02-202024-08-18건설업건축물축조공사 (1312.93㎡)경기도 동두천시청 환경보호과031-860-22572023-05-222
2주영건설(주)송내동 144-7노유자시설 신축공사2022-04-202023-01-31건설업건축물축조공사 (연면적: 1053.64㎡)경기도 동두천시청 환경보호과031-860-22572023-05-222