Overview

Dataset statistics

Number of variables4
Number of observations120
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory34.1 B

Variable types

Numeric1
Text2
Categorical1

Dataset

Description경상남도 사천시 소음진동배출시설 현황 자료입니다.(연번, 사업장명, 소재지 지번주소), 2023년 6월 1일 기준 120개 시설
Author경상남도 사천시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15114256

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
사업장명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:29:28.434332
Analysis finished2023-12-10 23:29:28.812324
Duration0.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct120
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.5
Minimum1
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T08:29:28.890484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.95
Q130.75
median60.5
Q390.25
95-th percentile114.05
Maximum120
Range119
Interquartile range (IQR)59.5

Descriptive statistics

Standard deviation34.785054
Coefficient of variation (CV)0.57495957
Kurtosis-1.2
Mean60.5
Median Absolute Deviation (MAD)30
Skewness0
Sum7260
Variance1210
MonotonicityStrictly increasing
2023-12-11T08:29:29.029199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
62 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
86 1
 
0.8%
85 1
 
0.8%
84 1
 
0.8%
83 1
 
0.8%
Other values (110) 110
91.7%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
120 1
0.8%
119 1
0.8%
118 1
0.8%
117 1
0.8%
116 1
0.8%
115 1
0.8%
114 1
0.8%
113 1
0.8%
112 1
0.8%
111 1
0.8%

사업장명
Text

UNIQUE 

Distinct120
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T08:29:29.346324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length6.8583333
Min length2

Characters and Unicode

Total characters823
Distinct characters164
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique120 ?
Unique (%)100.0%

Sample

1st row에이원제경
2nd row다자연영농조합법인
3rd row삼호기업
4th row(주)우리에너지
5th row풍융 주식회사
ValueCountFrequency (%)
주식회사 7
 
5.2%
주)부성 2
 
1.5%
제2공장 2
 
1.5%
두원중공업(주 2
 
1.5%
에이원제경 1
 
0.7%
주)에이치에스씨푸드 1
 
0.7%
한국열처리(주 1
 
0.7%
주)동양개발 1
 
0.7%
남도공업사 1
 
0.7%
주)신동 1
 
0.7%
Other values (116) 116
85.9%
2023-12-11T08:29:29.745017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 69
 
8.4%
) 62
 
7.5%
( 62
 
7.5%
산 35
 
4.3%
업 30
 
3.6%
이 19
 
2.3%
동 18
 
2.2%
에 16
 
1.9%
사 16
 
1.9%
성 15
 
1.8%
Other values (154) 481
58.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 676
82.1%
Close Punctuation 62
 
7.5%
Open Punctuation 62
 
7.5%
Space Separator 15
 
1.8%
Decimal Number 6
 
0.7%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 69
 
10.2%
산 35
 
5.2%
업 30
 
4.4%
이 19
 
2.8%
동 18
 
2.7%
에 16
 
2.4%
사 16
 
2.4%
성 15
 
2.2%
공 13
 
1.9%
제 12
 
1.8%
Other values (147) 433
64.1%
Decimal Number
ValueCountFrequency (%)
2 3
50.0%
1 2
33.3%
3 1
 
16.7%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 676
82.1%
Common 147
 
17.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 69
 
10.2%
산 35
 
5.2%
업 30
 
4.4%
이 19
 
2.8%
동 18
 
2.7%
에 16
 
2.4%
사 16
 
2.4%
성 15
 
2.2%
공 13
 
1.9%
제 12
 
1.8%
Other values (147) 433
64.1%
Common
ValueCountFrequency (%)
) 62
42.2%
( 62
42.2%
15
 
10.2%
2 3
 
2.0%
1 2
 
1.4%
. 2
 
1.4%
3 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 676
82.1%
ASCII 147
 
17.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 69
 
10.2%
산 35
 
5.2%
업 30
 
4.4%
이 19
 
2.8%
동 18
 
2.7%
에 16
 
2.4%
사 16
 
2.4%
성 15
 
2.2%
공 13
 
1.9%
제 12
 
1.8%
Other values (147) 433
64.1%
ASCII
ValueCountFrequency (%)
) 62
42.2%
( 62
42.2%
15
 
10.2%
2 3
 
2.0%
1 2
 
1.4%
. 2
 
1.4%
3 1
 
0.7%

소재지(지번)
Text

Distinct117
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T08:29:30.046221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length29
Mean length22.808333
Min length16

Characters and Unicode

Total characters2737
Distinct characters110
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)95.0%

Sample

1st row경상남도 사천시 사천읍 두량리 1278-18
2nd row경상남도 사천시 곤명면 금성리 1096 다자연영농조합법인
3rd row경상남도 사천시 사천읍 장전리 317
4th row경상남도 사천시 곤양면 대진리 16-13
5th row경상남도 사천시 곤양면 흥사리 83-8
ValueCountFrequency (%)
경상남도 120
19.6%
사천시 120
19.6%
축동면 42
 
6.9%
사천읍 13
 
2.1%
탑리 12
 
2.0%
곤양면 11
 
1.8%
대방동 10
 
1.6%
용현면 10
 
1.6%
구호리 9
 
1.5%
산 8
 
1.3%
Other values (185) 256
41.9%
2023-12-11T08:29:30.803962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
612
22.4%
사 153
 
5.6%
천 136
 
5.0%
남 130
 
4.7%
상 121
 
4.4%
경 120
 
4.4%
도 120
 
4.4%
시 120
 
4.4%
1 107
 
3.9%
리 92
 
3.4%
Other values (100) 1026
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1549
56.6%
Space Separator 612
 
22.4%
Decimal Number 480
 
17.5%
Dash Punctuation 90
 
3.3%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 153
 
9.9%
천 136
 
8.8%
남 130
 
8.4%
상 121
 
7.8%
경 120
 
7.7%
도 120
 
7.7%
시 120
 
7.7%
리 92
 
5.9%
면 81
 
5.2%
동 74
 
4.8%
Other values (86) 402
26.0%
Decimal Number
ValueCountFrequency (%)
1 107
22.3%
3 67
14.0%
2 49
10.2%
5 49
10.2%
4 41
 
8.5%
7 40
 
8.3%
6 39
 
8.1%
8 34
 
7.1%
9 31
 
6.5%
0 23
 
4.8%
Space Separator
ValueCountFrequency (%)
612
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 90
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1549
56.6%
Common 1188
43.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 153
 
9.9%
천 136
 
8.8%
남 130
 
8.4%
상 121
 
7.8%
경 120
 
7.7%
도 120
 
7.7%
시 120
 
7.7%
리 92
 
5.9%
면 81
 
5.2%
동 74
 
4.8%
Other values (86) 402
26.0%
Common
ValueCountFrequency (%)
612
51.5%
1 107
 
9.0%
- 90
 
7.6%
3 67
 
5.6%
2 49
 
4.1%
5 49
 
4.1%
4 41
 
3.5%
7 40
 
3.4%
6 39
 
3.3%
8 34
 
2.9%
Other values (4) 60
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1549
56.6%
ASCII 1188
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
612
51.5%
1 107
 
9.0%
- 90
 
7.6%
3 67
 
5.6%
2 49
 
4.1%
5 49
 
4.1%
4 41
 
3.5%
7 40
 
3.4%
6 39
 
3.3%
8 34
 
2.9%
Other values (4) 60
 
5.1%
Hangul
ValueCountFrequency (%)
사 153
 
9.9%
천 136
 
8.8%
남 130
 
8.4%
상 121
 
7.8%
경 120
 
7.7%
도 120
 
7.7%
시 120
 
7.7%
리 92
 
5.9%
면 81
 
5.2%
동 74
 
4.8%
Other values (86) 402
26.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-06-01
120 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-01
2nd row2023-06-01
3rd row2023-06-01
4th row2023-06-01
5th row2023-06-01

Common Values

ValueCountFrequency (%)
2023-06-01 120
100.0%

Length

2023-12-11T08:29:30.952380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:29:31.069043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-01 120
100.0%

Interactions

2023-12-11T08:29:28.578799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-11T08:29:28.687202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:29:28.772981image/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

연번사업장명소재지(지번)데이터기준일자
01에이원제경경상남도 사천시 사천읍 두량리 1278-182023-06-01
12다자연영농조합법인경상남도 사천시 곤명면 금성리 1096 다자연영농조합법인2023-06-01
23삼호기업경상남도 사천시 사천읍 장전리 3172023-06-01
34(주)우리에너지경상남도 사천시 곤양면 대진리 16-132023-06-01
45풍융 주식회사경상남도 사천시 곤양면 흥사리 83-82023-06-01
56광남금속경상남도 사천시 축동면 탑리 12023-06-01
67동주경상남도 사천시 축동면 구호리 8-22023-06-01
78에이치제이케이구조경상남도 사천시 축동면 가산리 741-12023-06-01
89(주)하나테크경상남도 사천시 축동면 탑리 193 진산금속2023-06-01
910(주)한양경상남도 사천시 용현면 선진리 57-3 57-42023-06-01
연번사업장명소재지(지번)데이터기준일자
110111동림제빙냉동경상남도 사천시 서금동 117-12023-06-01
111112성창수산(주)경상남도 사천시 서금동 1262023-06-01
112113삼경식품경상남도 사천시 대방동 740-22023-06-01
113114삼홍물산경상남도 사천시 이금동 123-42023-06-01
114115나인산업(주)경상남도 사천시 용현면 덕곡리 397-7 외2필지(390-16 397-11)2023-06-01
115116(주)동림1공장경상남도 사천시 대방동 764-52023-06-01
116117대창물산경상남도 사천시 대방동 7642023-06-01
117118선경산업(주)경상남도 사천시 용현면 신복리 4862023-06-01
118119성일산업경상남도 사천시 향촌동 505-42023-06-01
119120제일제빙냉동(주)경상남도 사천시 서동 346-332023-06-01