Overview

Dataset statistics

Number of variables7
Number of observations78
Missing cells9
Missing cells (%)1.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.5 KiB
Average record size in memory59.7 B

Variable types

Numeric1
Categorical2
Text3
DateTime1

Dataset

Description경상남도 의령군 대기오염배출사업장의 정보를 나타내는 데이터 입니다. 사업장의 소재한 지역, 사업장의 명칭과 사업장이 배출하는 대기오염배출 종별, 소재지의 도로명주소와 연락처, 데이터 기준일을 제공합니다. 전화번호 항목이 공란인 곳은 데이터의 미수집으로 향후, 데이터 확보 시 재수정해서 개방할 예정입니다.
Author경상남도 의령군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15111680

Alerts

지역 has constant value ""Constant
데이터기준일 has constant value ""Constant
연락처 has 9 (11.5%) missing valuesMissing
연번 has unique valuesUnique
사업장명 has unique valuesUnique

Reproduction

Analysis started2024-01-14 07:56:18.373619
Analysis finished2024-01-14 07:56:19.333372
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct78
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.5
Minimum1
Maximum78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2024-01-14T16:56:19.412166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.85
Q120.25
median39.5
Q358.75
95-th percentile74.15
Maximum78
Range77
Interquartile range (IQR)38.5

Descriptive statistics

Standard deviation22.660538
Coefficient of variation (CV)0.57368452
Kurtosis-1.2
Mean39.5
Median Absolute Deviation (MAD)19.5
Skewness0
Sum3081
Variance513.5
MonotonicityStrictly increasing
2024-01-14T16:56:19.544149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.3%
51 1
 
1.3%
58 1
 
1.3%
57 1
 
1.3%
56 1
 
1.3%
55 1
 
1.3%
54 1
 
1.3%
53 1
 
1.3%
52 1
 
1.3%
50 1
 
1.3%
Other values (68) 68
87.2%
ValueCountFrequency (%)
1 1
1.3%
2 1
1.3%
3 1
1.3%
4 1
1.3%
5 1
1.3%
6 1
1.3%
7 1
1.3%
8 1
1.3%
9 1
1.3%
10 1
1.3%
ValueCountFrequency (%)
78 1
1.3%
77 1
1.3%
76 1
1.3%
75 1
1.3%
74 1
1.3%
73 1
1.3%
72 1
1.3%
71 1
1.3%
70 1
1.3%
69 1
1.3%

지역
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size756.0 B
경남 의령군
78 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경남 의령군
2nd row경남 의령군
3rd row경남 의령군
4th row경남 의령군
5th row경남 의령군

Common Values

ValueCountFrequency (%)
경남 의령군 78
100.0%

Length

2024-01-14T16:56:19.673678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T16:56:19.758689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경남 78
50.0%
의령군 78
50.0%

사업장명
Text

UNIQUE 

Distinct78
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size756.0 B
2024-01-14T16:56:19.941582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length6.9102564
Min length3

Characters and Unicode

Total characters539
Distinct characters166
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)100.0%

Sample

1st row신성제지공업사
2nd row보훈목재
3rd row의령정미소
4th row남천목욕탕
5th row일육온천
ValueCountFrequency (%)
농업회사법인 2
 
2.4%
주식회사 2
 
2.4%
신성제지공업사 1
 
1.2%
㈜청도산업 1
 
1.2%
예스자동차정비 1
 
1.2%
훌루테크㈜의령2공장 1
 
1.2%
의령축산업협동조합 1
 
1.2%
주)화림테크 1
 
1.2%
㈜코스와이어 1
 
1.2%
㈜쎄니트 1
 
1.2%
Other values (73) 73
85.9%
2024-01-14T16:56:20.323791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 42
 
7.8%
이 18
 
3.3%
업 17
 
3.2%
산 15
 
2.8%
의 14
 
2.6%
령 14
 
2.6%
지 11
 
2.0%
사 11
 
2.0%
) 10
 
1.9%
( 10
 
1.9%
Other values (156) 377
69.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 463
85.9%
Other Symbol 42
 
7.8%
Close Punctuation 10
 
1.9%
Open Punctuation 10
 
1.9%
Space Separator 7
 
1.3%
Decimal Number 5
 
0.9%
Dash Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 18
 
3.9%
업 17
 
3.7%
산 15
 
3.2%
의 14
 
3.0%
령 14
 
3.0%
지 11
 
2.4%
사 11
 
2.4%
주 9
 
1.9%
크 8
 
1.7%
공 8
 
1.7%
Other values (149) 338
73.0%
Decimal Number
ValueCountFrequency (%)
2 3
60.0%
1 2
40.0%
Other Symbol
ValueCountFrequency (%)
㈜ 42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 505
93.7%
Common 34
 
6.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 42
 
8.3%
이 18
 
3.6%
업 17
 
3.4%
산 15
 
3.0%
의 14
 
2.8%
령 14
 
2.8%
지 11
 
2.2%
사 11
 
2.2%
주 9
 
1.8%
크 8
 
1.6%
Other values (150) 346
68.5%
Common
ValueCountFrequency (%)
) 10
29.4%
( 10
29.4%
7
20.6%
2 3
 
8.8%
- 2
 
5.9%
1 2
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 463
85.9%
None 42
 
7.8%
ASCII 34
 
6.3%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 42
100.0%
Hangul
ValueCountFrequency (%)
이 18
 
3.9%
업 17
 
3.7%
산 15
 
3.2%
의 14
 
3.0%
령 14
 
3.0%
지 11
 
2.4%
사 11
 
2.4%
주 9
 
1.9%
크 8
 
1.7%
공 8
 
1.7%
Other values (149) 338
73.0%
ASCII
ValueCountFrequency (%)
) 10
29.4%
( 10
29.4%
7
20.6%
2 3
 
8.8%
- 2
 
5.9%
1 2
 
5.9%

대기종별
Categorical

Distinct5
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size756.0 B
4
34 
5
34 
3
8 
1
 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)2.6%

Sample

1st row4
2nd row5
3rd row5
4th row5
5th row5

Common Values

ValueCountFrequency (%)
4 34
43.6%
5 34
43.6%
3 8
 
10.3%
1 1
 
1.3%
2 1
 
1.3%

Length

2024-01-14T16:56:20.452068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T16:56:20.548633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 34
43.6%
5 34
43.6%
3 8
 
10.3%
1 1
 
1.3%
2 1
 
1.3%

도로명주소
Text

Distinct77
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size756.0 B
2024-01-14T16:56:20.819166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length22.153846
Min length19

Characters and Unicode

Total characters1728
Distinct characters68
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)97.4%

Sample

1st row경상남도 의령군 부림면 한지28길 17-8
2nd row경상남도 의령군 가례면 의병로 103
3rd row경상남도 의령군 의령읍 의병로 109
4th row경상남도 의령군 의령읍 의병로20길 29-4
5th row경상남도 의령군 의령읍 의병로19길 3-6
ValueCountFrequency (%)
의령군 79
19.9%
경상남도 78
19.7%
의령읍 21
 
5.3%
봉수면 14
 
3.5%
부림면 11
 
2.8%
의합대로 10
 
2.5%
용덕면 8
 
2.0%
구룡로1길 6
 
1.5%
한지18길 6
 
1.5%
정곡면 6
 
1.5%
Other values (119) 157
39.6%
2024-01-14T16:56:21.315535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
327
18.9%
의 128
 
7.4%
령 101
 
5.8%
남 85
 
4.9%
군 79
 
4.6%
상 79
 
4.6%
경 78
 
4.5%
도 78
 
4.5%
1 67
 
3.9%
로 56
 
3.2%
Other values (58) 650
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1066
61.7%
Space Separator 327
 
18.9%
Decimal Number 303
 
17.5%
Dash Punctuation 32
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 128
12.0%
령 101
 
9.5%
남 85
 
8.0%
군 79
 
7.4%
상 79
 
7.4%
경 78
 
7.3%
도 78
 
7.3%
로 56
 
5.3%
면 56
 
5.3%
길 36
 
3.4%
Other values (46) 290
27.2%
Decimal Number
ValueCountFrequency (%)
1 67
22.1%
2 49
16.2%
4 33
10.9%
8 32
10.6%
9 28
9.2%
3 23
 
7.6%
0 23
 
7.6%
5 17
 
5.6%
6 17
 
5.6%
7 14
 
4.6%
Space Separator
ValueCountFrequency (%)
327
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1066
61.7%
Common 662
38.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 128
12.0%
령 101
 
9.5%
남 85
 
8.0%
군 79
 
7.4%
상 79
 
7.4%
경 78
 
7.3%
도 78
 
7.3%
로 56
 
5.3%
면 56
 
5.3%
길 36
 
3.4%
Other values (46) 290
27.2%
Common
ValueCountFrequency (%)
327
49.4%
1 67
 
10.1%
2 49
 
7.4%
4 33
 
5.0%
- 32
 
4.8%
8 32
 
4.8%
9 28
 
4.2%
3 23
 
3.5%
0 23
 
3.5%
5 17
 
2.6%
Other values (2) 31
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1066
61.7%
ASCII 662
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
327
49.4%
1 67
 
10.1%
2 49
 
7.4%
4 33
 
5.0%
- 32
 
4.8%
8 32
 
4.8%
9 28
 
4.2%
3 23
 
3.5%
0 23
 
3.5%
5 17
 
2.6%
Other values (2) 31
 
4.7%
Hangul
ValueCountFrequency (%)
의 128
12.0%
령 101
 
9.5%
남 85
 
8.0%
군 79
 
7.4%
상 79
 
7.4%
경 78
 
7.3%
도 78
 
7.3%
로 56
 
5.3%
면 56
 
5.3%
길 36
 
3.4%
Other values (46) 290
27.2%

연락처
Text

MISSING 

Distinct65
Distinct (%)94.2%
Missing9
Missing (%)11.5%
Memory size756.0 B
2024-01-14T16:56:21.534105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length12
Mean length12.202899
Min length12

Characters and Unicode

Total characters842
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)91.3%

Sample

1st row055-574-6012
2nd row055-572-8902
3rd row055-573-3356
4th row055-573-2049
5th row055-573-2686
ValueCountFrequency (%)
055-573-1534 3
 
4.3%
055-572-2424 3
 
4.3%
055-574-5571 1
 
1.4%
055-573-4695 1
 
1.4%
055-574-9990 1
 
1.4%
055-572-6060 1
 
1.4%
055-574-0140 1
 
1.4%
055-573-0225 1
 
1.4%
055-572-3020 1
 
1.4%
055-573-2585 1
 
1.4%
Other values (55) 55
79.7%
2024-01-14T16:56:21.854002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 236
28.0%
- 139
16.5%
0 119
14.1%
7 90
 
10.7%
3 48
 
5.7%
4 48
 
5.7%
2 47
 
5.6%
9 35
 
4.2%
1 32
 
3.8%
6 24
 
2.9%
Other values (2) 24
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 701
83.3%
Dash Punctuation 139
 
16.5%
Other Punctuation 2
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 236
33.7%
0 119
17.0%
7 90
 
12.8%
3 48
 
6.8%
4 48
 
6.8%
2 47
 
6.7%
9 35
 
5.0%
1 32
 
4.6%
6 24
 
3.4%
8 22
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 139
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 842
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 236
28.0%
- 139
16.5%
0 119
14.1%
7 90
 
10.7%
3 48
 
5.7%
4 48
 
5.7%
2 47
 
5.6%
9 35
 
4.2%
1 32
 
3.8%
6 24
 
2.9%
Other values (2) 24
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 842
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 236
28.0%
- 139
16.5%
0 119
14.1%
7 90
 
10.7%
3 48
 
5.7%
4 48
 
5.7%
2 47
 
5.6%
9 35
 
4.2%
1 32
 
3.8%
6 24
 
2.9%
Other values (2) 24
 
2.9%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size756.0 B
Minimum2023-12-29 00:00:00
Maximum2023-12-29 00:00:00
2024-01-14T16:56:21.966925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T16:56:22.056861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-14T16:56:19.043118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-14T16:56:22.132461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사업장명대기종별도로명주소연락처
연번1.0001.0000.4720.9310.569
사업장명1.0001.0001.0001.0001.000
대기종별0.4721.0001.0000.7910.977
도로명주소0.9311.0000.7911.0000.993
연락처0.5691.0000.9770.9931.000
2024-01-14T16:56:22.217488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번대기종별
연번1.0000.203
대기종별0.2031.000

Missing values

2024-01-14T16:56:19.175936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-14T16:56:19.281410image/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

연번지역사업장명대기종별도로명주소연락처데이터기준일
01경남 의령군신성제지공업사4경상남도 의령군 부림면 한지28길 17-8055-574-60122023-12-29
12경남 의령군보훈목재5경상남도 의령군 가례면 의병로 103055-572-89022023-12-29
23경남 의령군의령정미소5경상남도 의령군 의령읍 의병로 109055-573-33562023-12-29
34경남 의령군남천목욕탕5경상남도 의령군 의령읍 의병로20길 29-4055-573-20492023-12-29
45경남 의령군일육온천5경상남도 의령군 의령읍 의병로19길 3-6055-573-26862023-12-29
56경남 의령군(주)신창제지4경상남도 의령군 봉수면 대한로 1198055-572-93772023-12-29
67경남 의령군대상레미콘㈜5경상남도 의령군 가례면 의병로 105-3055-573-99602023-12-29
78경남 의령군대영포장산업4경상남도 의령군 의령읍 구룡로 184055-573-56912023-12-29
89경남 의령군자굴산식품5경상남도 의령군 칠곡면 자굴산로 90055-573-04402023-12-29
910경남 의령군금성1급정비공장4경상남도 의령군 부림면 의합대로 2102055-574-93002023-12-29
연번지역사업장명대기종별도로명주소연락처데이터기준일
6869경남 의령군㈜신한개발4경상남도 의령군 지정면 함의로 1869-95055-574-05882023-12-29
6970경남 의령군㈜세한이엔지4경상남도 의령군 의령읍 구룡로4남길 52055-574-45622023-12-29
7071경남 의령군㈜의령산업개발4경상남도 의령군 대의면 추산리 산93-5<NA>2023-12-29
7172경남 의령군㈜탑리사이클링4경상남도 의령군 용덕면 용덕1길 26055-574-08082023-12-29
7273경남 의령군㈜동산개발4경상남도 의령군 부림면 함의로 2180-269055-574-55712023-12-29
7374경남 의령군의령군 시설관리사업소5경상남도 의령군 의령읍 의병로8길 44055-570-28332023-12-29
7475경남 의령군대성테크5경상남도 의령군 칠곡면 진의로 2192-28<NA>2023-12-29
7576경남 의령군주식회사 영중개발4경상남도 의령군 부림면 익구리 422-1<NA>2023-12-29
7677경남 의령군㈜원봉탄소에너지5경상남도 의령군 지정면 함의로2길 68-12055-574-99902023-12-29
7778경남 의령군부산사료㈜5경상남도 의령군 의령읍 구룡로4남길 65055-573-09912023-12-29