Overview

Dataset statistics

Number of variables6
Number of observations196
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.5 KiB
Average record size in memory49.7 B

Variable types

Numeric1
Text4
Categorical1

Dataset

Description전북특별자치도 김제시 대기배출사업장 현황입니다. 문의사항은 김제시청 환경과 063-540-3780으로 연락주시기 바랍니다.
Author전북특별자치도 김제시
URLhttps://www.data.go.kr/data/15078470/fileData.do

Alerts

연번 has unique valuesUnique
사업장명 has unique valuesUnique

Reproduction

Analysis started2024-04-21 01:47:19.221453
Analysis finished2024-04-21 01:47:21.256163
Duration2.03 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct196
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.5
Minimum1
Maximum196
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-21T10:47:21.337093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.75
Q149.75
median98.5
Q3147.25
95-th percentile186.25
Maximum196
Range195
Interquartile range (IQR)97.5

Descriptive statistics

Standard deviation56.72448
Coefficient of variation (CV)0.57588305
Kurtosis-1.2
Mean98.5
Median Absolute Deviation (MAD)49
Skewness0
Sum19306
Variance3217.6667
MonotonicityStrictly increasing
2024-04-21T10:47:21.486978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
125 1
 
0.5%
127 1
 
0.5%
128 1
 
0.5%
129 1
 
0.5%
130 1
 
0.5%
131 1
 
0.5%
132 1
 
0.5%
133 1
 
0.5%
134 1
 
0.5%
Other values (186) 186
94.9%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
196 1
0.5%
195 1
0.5%
194 1
0.5%
193 1
0.5%
192 1
0.5%
191 1
0.5%
190 1
0.5%
189 1
0.5%
188 1
0.5%
187 1
0.5%

사업장명
Text

UNIQUE 

Distinct196
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-21T10:47:21.704473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length23
Mean length9.1734694
Min length2

Characters and Unicode

Total characters1798
Distinct characters246
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique196 ?
Unique (%)100.0%

Sample

1st row(유)현대자동차일광서비스(일광자동차공업사)
2nd row(주)금산씨알에이1공장
3rd row(주)금산씨알에이2공장
4th row(주)금산씨알에이3공장
5th row(주)에이치알이앤아이 1공장
ValueCountFrequency (%)
주식회사 11
 
4.6%
유한회사 5
 
2.1%
김제지점 4
 
1.7%
주)에이치알이앤아이 3
 
1.3%
농업회사법인 3
 
1.3%
주)삼정디씨피 2
 
0.8%
전주김제완주축산업협동조합 2
 
0.8%
혁신밸리 2
 
0.8%
2공장 2
 
0.8%
주)혜성지테크 1
 
0.4%
Other values (203) 203
85.3%
2024-04-21T10:47:22.086354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 129
 
7.2%
) 129
 
7.2%
주 104
 
5.8%
업 63
 
3.5%
사 52
 
2.9%
유 48
 
2.7%
이 43
 
2.4%
42
 
2.3%
산 39
 
2.2%
공 39
 
2.2%
Other values (236) 1110
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1483
82.5%
Open Punctuation 129
 
7.2%
Close Punctuation 129
 
7.2%
Space Separator 42
 
2.3%
Decimal Number 11
 
0.6%
Other Number 2
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 104
 
7.0%
업 63
 
4.2%
사 52
 
3.5%
유 48
 
3.2%
이 43
 
2.9%
산 39
 
2.6%
공 39
 
2.6%
농 34
 
2.3%
제 33
 
2.2%
스 31
 
2.1%
Other values (225) 997
67.2%
Decimal Number
ValueCountFrequency (%)
2 5
45.5%
1 4
36.4%
5 1
 
9.1%
3 1
 
9.1%
Other Number
ValueCountFrequency (%)
① 1
50.0%
② 1
50.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
G 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 129
100.0%
Close Punctuation
ValueCountFrequency (%)
) 129
100.0%
Space Separator
ValueCountFrequency (%)
42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1483
82.5%
Common 313
 
17.4%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 104
 
7.0%
업 63
 
4.2%
사 52
 
3.5%
유 48
 
3.2%
이 43
 
2.9%
산 39
 
2.6%
공 39
 
2.6%
농 34
 
2.3%
제 33
 
2.2%
스 31
 
2.1%
Other values (225) 997
67.2%
Common
ValueCountFrequency (%)
( 129
41.2%
) 129
41.2%
42
 
13.4%
2 5
 
1.6%
1 4
 
1.3%
① 1
 
0.3%
5 1
 
0.3%
3 1
 
0.3%
② 1
 
0.3%
Latin
ValueCountFrequency (%)
S 1
50.0%
G 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1483
82.5%
ASCII 313
 
17.4%
Enclosed Alphanum 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 129
41.2%
) 129
41.2%
42
 
13.4%
2 5
 
1.6%
1 4
 
1.3%
S 1
 
0.3%
G 1
 
0.3%
5 1
 
0.3%
3 1
 
0.3%
Hangul
ValueCountFrequency (%)
주 104
 
7.0%
업 63
 
4.2%
사 52
 
3.5%
유 48
 
3.2%
이 43
 
2.9%
산 39
 
2.6%
공 39
 
2.6%
농 34
 
2.3%
제 33
 
2.2%
스 31
 
2.1%
Other values (225) 997
67.2%
Enclosed Alphanum
ValueCountFrequency (%)
① 1
50.0%
② 1
50.0%

주소
Text

Distinct193
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-21T10:47:22.432656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length12.316327
Min length7

Characters and Unicode

Total characters2414
Distinct characters99
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique191 ?
Unique (%)97.4%

Sample

1st row 봉남로 843
2nd row 금산면 금평로 311
3rd row 금산면 금평로 281-177
4th row 금산면 금평로 281-177
5th row 만경읍 만경공단2길 28
ValueCountFrequency (%)
백구면 32
 
6.0%
용지면 23
 
4.3%
금구면 17
 
3.2%
만경읍 15
 
2.8%
황산면 11
 
2.1%
금산면 10
 
1.9%
금백로 9
 
1.7%
백산면 9
 
1.7%
만경공단2길 7
 
1.3%
석정로 7
 
1.3%
Other values (258) 391
73.6%
2024-04-21T10:47:22.954734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
528
21.9%
1 154
 
6.4%
면 121
 
5.0%
2 116
 
4.8%
로 106
 
4.4%
길 87
 
3.6%
3 77
 
3.2%
4 67
 
2.8%
백 64
 
2.7%
구 62
 
2.6%
Other values (89) 1032
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1130
46.8%
Decimal Number 695
28.8%
Space Separator 528
21.9%
Dash Punctuation 48
 
2.0%
Open Punctuation 6
 
0.2%
Close Punctuation 6
 
0.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 121
 
10.7%
로 106
 
9.4%
길 87
 
7.7%
백 64
 
5.7%
구 62
 
5.5%
공 58
 
5.1%
산 49
 
4.3%
단 49
 
4.3%
금 43
 
3.8%
황 34
 
3.0%
Other values (74) 457
40.4%
Decimal Number
ValueCountFrequency (%)
1 154
22.2%
2 116
16.7%
3 77
11.1%
4 67
9.6%
8 54
 
7.8%
5 52
 
7.5%
6 49
 
7.1%
7 49
 
7.1%
0 42
 
6.0%
9 35
 
5.0%
Space Separator
ValueCountFrequency (%)
528
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1284
53.2%
Hangul 1130
46.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 121
 
10.7%
로 106
 
9.4%
길 87
 
7.7%
백 64
 
5.7%
구 62
 
5.5%
공 58
 
5.1%
산 49
 
4.3%
단 49
 
4.3%
금 43
 
3.8%
황 34
 
3.0%
Other values (74) 457
40.4%
Common
ValueCountFrequency (%)
528
41.1%
1 154
 
12.0%
2 116
 
9.0%
3 77
 
6.0%
4 67
 
5.2%
8 54
 
4.2%
5 52
 
4.0%
6 49
 
3.8%
7 49
 
3.8%
- 48
 
3.7%
Other values (5) 90
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1284
53.2%
Hangul 1130
46.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
528
41.1%
1 154
 
12.0%
2 116
 
9.0%
3 77
 
6.0%
4 67
 
5.2%
8 54
 
4.2%
5 52
 
4.0%
6 49
 
3.8%
7 49
 
3.8%
- 48
 
3.7%
Other values (5) 90
 
7.0%
Hangul
ValueCountFrequency (%)
면 121
 
10.7%
로 106
 
9.4%
길 87
 
7.7%
백 64
 
5.7%
구 62
 
5.5%
공 58
 
5.1%
산 49
 
4.3%
단 49
 
4.3%
금 43
 
3.8%
황 34
 
3.0%
Other values (74) 457
40.4%

전화
Text

Distinct162
Distinct (%)82.7%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-21T10:47:23.231472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.566327
Min length7

Characters and Unicode

Total characters2267
Distinct characters18
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

Unique146 ?
Unique (%)74.5%

Sample

1st row063-547-8272
2nd row063-544-0702
3rd row063-544-0702
4th row063-544-0702
5th row063-540-5557
ValueCountFrequency (%)
데이터 17
 
8.0%
미집계 17
 
8.0%
063-543-7100 3
 
1.4%
063-544-0702 3
 
1.4%
063-540-5557 3
 
1.4%
063-545-0881 2
 
0.9%
063-544-7715 2
 
0.9%
063-545-5968 2
 
0.9%
063-543-2410 2
 
0.9%
063-542-6667 2
 
0.9%
Other values (153) 160
75.1%
2024-04-21T10:47:23.636569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 358
15.8%
0 323
14.2%
3 288
12.7%
6 271
12.0%
5 266
11.7%
4 240
10.6%
7 110
 
4.9%
1 104
 
4.6%
2 76
 
3.4%
8 68
 
3.0%
Other values (8) 163
7.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1790
79.0%
Dash Punctuation 358
 
15.8%
Other Letter 102
 
4.5%
Space Separator 17
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 323
18.0%
3 288
16.1%
6 271
15.1%
5 266
14.9%
4 240
13.4%
7 110
 
6.1%
1 104
 
5.8%
2 76
 
4.2%
8 68
 
3.8%
9 44
 
2.5%
Other Letter
ValueCountFrequency (%)
이 17
16.7%
계 17
16.7%
집 17
16.7%
미 17
16.7%
터 17
16.7%
데 17
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 358
100.0%
Space Separator
ValueCountFrequency (%)
17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2165
95.5%
Hangul 102
 
4.5%

Most frequent character per script

Common
ValueCountFrequency (%)
- 358
16.5%
0 323
14.9%
3 288
13.3%
6 271
12.5%
5 266
12.3%
4 240
11.1%
7 110
 
5.1%
1 104
 
4.8%
2 76
 
3.5%
8 68
 
3.1%
Other values (2) 61
 
2.8%
Hangul
ValueCountFrequency (%)
이 17
16.7%
계 17
16.7%
집 17
16.7%
미 17
16.7%
터 17
16.7%
데 17
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2165
95.5%
Hangul 102
 
4.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 358
16.5%
0 323
14.9%
3 288
13.3%
6 271
12.5%
5 266
12.3%
4 240
11.1%
7 110
 
5.1%
1 104
 
4.8%
2 76
 
3.5%
8 68
 
3.1%
Other values (2) 61
 
2.8%
Hangul
ValueCountFrequency (%)
이 17
16.7%
계 17
16.7%
집 17
16.7%
미 17
16.7%
터 17
16.7%
데 17
16.7%

업종
Text

Distinct88
Distinct (%)44.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-21T10:47:23.861177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length8.7755102
Min length4

Characters and Unicode

Total characters1720
Distinct characters130
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)31.6%

Sample

1st row자동차종합수리업
2nd row비금속광물제품제조업
3rd row비금속광물제품제조업
4th row아스콘제조업
5th row차체및특장차 제조업
ValueCountFrequency (%)
곡물도정업 18
 
6.7%
제조업 18
 
6.7%
비금속광물제조업 14
 
5.2%
자동차종합수리업 13
 
4.8%
및 12
 
4.5%
폐기물처리업 11
 
4.1%
자동차부품제조업 6
 
2.2%
차체및특장차제조업 6
 
2.2%
비금속광물제품제조업 6
 
2.2%
금속제품제조업 6
 
2.2%
Other values (111) 159
59.1%
2024-04-21T10:47:24.213675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 194
 
11.3%
제 147
 
8.5%
조 128
 
7.4%
73
 
4.2%
물 69
 
4.0%
차 52
 
3.0%
품 48
 
2.8%
및 46
 
2.7%
기 42
 
2.4%
비 42
 
2.4%
Other values (120) 879
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1642
95.5%
Space Separator 73
 
4.2%
Other Punctuation 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 194
 
11.8%
제 147
 
9.0%
조 128
 
7.8%
물 69
 
4.2%
차 52
 
3.2%
품 48
 
2.9%
및 46
 
2.8%
기 42
 
2.6%
비 42
 
2.6%
속 41
 
2.5%
Other values (117) 833
50.7%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
· 1
 
20.0%
Space Separator
ValueCountFrequency (%)
73
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1642
95.5%
Common 78
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 194
 
11.8%
제 147
 
9.0%
조 128
 
7.8%
물 69
 
4.2%
차 52
 
3.2%
품 48
 
2.9%
및 46
 
2.8%
기 42
 
2.6%
비 42
 
2.6%
속 41
 
2.5%
Other values (117) 833
50.7%
Common
ValueCountFrequency (%)
73
93.6%
, 4
 
5.1%
· 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1642
95.5%
ASCII 77
 
4.5%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 194
 
11.8%
제 147
 
9.0%
조 128
 
7.8%
물 69
 
4.2%
차 52
 
3.2%
품 48
 
2.9%
및 46
 
2.8%
기 42
 
2.6%
비 42
 
2.6%
속 41
 
2.5%
Other values (117) 833
50.7%
ASCII
ValueCountFrequency (%)
73
94.8%
, 4
 
5.2%
None
ValueCountFrequency (%)
· 1
100.0%

대기종별
Categorical

Distinct5
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
5종
104 
4종
74 
3종
11 
2종
 
6
1종
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row5종
2nd row5종
3rd row5종
4th row3종
5th row4종

Common Values

ValueCountFrequency (%)
5종 104
53.1%
4종 74
37.8%
3종 11
 
5.6%
2종 6
 
3.1%
1종 1
 
0.5%

Length

2024-04-21T10:47:24.348046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:47:24.466544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5종 104
53.1%
4종 74
37.8%
3종 11
 
5.6%
2종 6
 
3.1%
1종 1
 
0.5%

Interactions

2024-04-21T10:47:20.910478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:47:24.550156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종대기종별
연번1.0000.8050.329
업종0.8051.0000.302
대기종별0.3290.3021.000
2024-04-21T10:47:24.638429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번대기종별
연번1.0000.132
대기종별0.1321.000

Missing values

2024-04-21T10:47:21.105668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:47:21.210719image/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

연번사업장명주소전화업종대기종별
01(유)현대자동차일광서비스(일광자동차공업사)봉남로 843063-547-8272자동차종합수리업5종
12(주)금산씨알에이1공장금산면 금평로 311063-544-0702비금속광물제품제조업5종
23(주)금산씨알에이2공장금산면 금평로 281-177063-544-0702비금속광물제품제조업5종
34(주)금산씨알에이3공장금산면 금평로 281-177063-544-0702아스콘제조업3종
45(주)에이치알이앤아이 1공장만경읍 만경공단2길 28063-540-5557차체및특장차 제조업4종
56(주)에이치알이앤아이 2공장만경읍 만경공단2길 11063-540-5557차체및특장차 제조업5종
67(주)에이치알이앤아이 5공장만경읍 만경공단2길 73063-540-5557차체및특장차 제조업4종
78(주)현대콘크리트금구면 광현1길 54063-546-8040비금속광물제조업4종
89지에스(GS)금속만경읍 만경공단2길 54063-463-2242구조용금속제품 제조업5종
910(주)신아서흥공단1길 64063-544-2951비금속광물제조업3종
연번사업장명주소전화업종대기종별
186187백제산업상동로 366(상동동)063-861-1300콘크리트 타일, 기와 벽돌 및 그제품 제조업5종
187188(주)진우이엠씨 김제지점백구공단1길 20063-770-7277차체 및 특장차 제조업4종
188189(주)라이브맥백구면 금백로 1143063-545-3345농업용기계제조업5종
189190(유)국도산업개발황산면 황산로 286-5063-545-3550금속선 가공제품 제조업5종
190191한성개발(주)금산면 금평로 327063-544-5051비금속광물제품제조업5종
191192농업회사법인(유)나노히토류청하면 동지산리 1154-11데이터 미집계곡몰 도정업4종
192193(주)김제이피에스하흥로 426데이터 미집계플라스틱발포성형제품제조업4종
193194전북한우협동조합황산면 황산로 518-164063-546-9608음식료품제조가공4종
194195목운산업 주식회사용지면 황토로 863063-547-7704목재및나무제품제조업5종
195196우성인더스트리하흥로 411, 1동(흥사동)데이터 미집계도장 및 기타 피막처리업4종