Overview

Dataset statistics

Number of variables8
Number of observations336
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.5 KiB
Average record size in memory65.4 B

Variable types

Numeric1
Text4
Categorical2
DateTime1

Dataset

Description전라남도 광양시의 비산먼지 발생사업장 현황에 대한 데이터를 전국민에게 무료로 포털에서 제공(시설명, 소재지, 공사기간)합니다.
Author전라남도 광양시
URLhttps://www.data.go.kr/data/15055340/fileData.do

Alerts

데이터기준일 has constant value ""Constant
발생사업 is highly overall correlated with 세륜시설 여부High correlation
세륜시설 여부 is highly overall correlated with 발생사업High correlation
세륜시설 여부 is highly imbalanced (55.7%)Imbalance
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-30 09:28:14.324192
Analysis finished2024-03-30 09:28:16.125988
Duration1.8 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct336
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean168.5
Minimum1
Maximum336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-03-30T09:28:16.465041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17.75
Q184.75
median168.5
Q3252.25
95-th percentile319.25
Maximum336
Range335
Interquartile range (IQR)167.5

Descriptive statistics

Standard deviation97.139076
Coefficient of variation (CV)0.57649303
Kurtosis-1.2
Mean168.5
Median Absolute Deviation (MAD)84
Skewness0
Sum56616
Variance9436
MonotonicityStrictly increasing
2024-03-30T09:28:16.918832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
223 1
 
0.3%
231 1
 
0.3%
230 1
 
0.3%
229 1
 
0.3%
228 1
 
0.3%
227 1
 
0.3%
226 1
 
0.3%
225 1
 
0.3%
224 1
 
0.3%
Other values (326) 326
97.0%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
336 1
0.3%
335 1
0.3%
334 1
0.3%
333 1
0.3%
332 1
0.3%
331 1
0.3%
330 1
0.3%
329 1
0.3%
328 1
0.3%
327 1
0.3%

사업장명
Text

Distinct282
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-03-30T09:28:17.439779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length7.8363095
Min length2

Characters and Unicode

Total characters2633
Distinct characters256
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique255 ?
Unique (%)75.9%

Sample

1st row(주)마래이엔티
2nd row(주)비아이테크
3rd row(주)에프엠산업
4th row대원산업(주)
5th row대원산업(주)
ValueCountFrequency (%)
주)포스코이앤씨 20
 
5.3%
주식회사 10
 
2.6%
주)플랜텍 6
 
1.6%
광양지점 6
 
1.6%
광양공장 5
 
1.3%
서강에스앤티㈜ 4
 
1.1%
대원산업(주 3
 
0.8%
대성베르힐건설(주 3
 
0.8%
유)조은골재 3
 
0.8%
백운기업 2
 
0.5%
Other values (293) 316
83.6%
2024-03-30T09:28:18.345307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 225
 
8.5%
) 225
 
8.5%
주 223
 
8.5%
스 74
 
2.8%
㈜ 73
 
2.8%
건 72
 
2.7%
설 65
 
2.5%
이 58
 
2.2%
업 55
 
2.1%
산 48
 
1.8%
Other values (246) 1515
57.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2029
77.1%
Open Punctuation 225
 
8.5%
Close Punctuation 225
 
8.5%
Other Symbol 73
 
2.8%
Space Separator 43
 
1.6%
Uppercase Letter 18
 
0.7%
Decimal Number 14
 
0.5%
Dash Punctuation 5
 
0.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 223
 
11.0%
스 74
 
3.6%
건 72
 
3.5%
설 65
 
3.2%
이 58
 
2.9%
업 55
 
2.7%
산 48
 
2.4%
광 43
 
2.1%
코 42
 
2.1%
양 39
 
1.9%
Other values (223) 1310
64.6%
Uppercase Letter
ValueCountFrequency (%)
C 4
22.2%
K 3
16.7%
G 2
11.1%
S 2
11.1%
T 2
11.1%
B 1
 
5.6%
E 1
 
5.6%
A 1
 
5.6%
Y 1
 
5.6%
H 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
2 5
35.7%
1 3
21.4%
3 2
 
14.3%
4 1
 
7.1%
7 1
 
7.1%
6 1
 
7.1%
5 1
 
7.1%
Open Punctuation
ValueCountFrequency (%)
( 225
100.0%
Close Punctuation
ValueCountFrequency (%)
) 225
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 73
100.0%
Space Separator
ValueCountFrequency (%)
43
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2102
79.8%
Common 513
 
19.5%
Latin 18
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 223
 
10.6%
스 74
 
3.5%
㈜ 73
 
3.5%
건 72
 
3.4%
설 65
 
3.1%
이 58
 
2.8%
업 55
 
2.6%
산 48
 
2.3%
광 43
 
2.0%
코 42
 
2.0%
Other values (224) 1349
64.2%
Common
ValueCountFrequency (%)
( 225
43.9%
) 225
43.9%
43
 
8.4%
2 5
 
1.0%
- 5
 
1.0%
1 3
 
0.6%
3 2
 
0.4%
. 1
 
0.2%
4 1
 
0.2%
7 1
 
0.2%
Other values (2) 2
 
0.4%
Latin
ValueCountFrequency (%)
C 4
22.2%
K 3
16.7%
G 2
11.1%
S 2
11.1%
T 2
11.1%
B 1
 
5.6%
E 1
 
5.6%
A 1
 
5.6%
Y 1
 
5.6%
H 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2029
77.1%
ASCII 531
 
20.2%
None 73
 
2.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 225
42.4%
) 225
42.4%
43
 
8.1%
2 5
 
0.9%
- 5
 
0.9%
C 4
 
0.8%
K 3
 
0.6%
1 3
 
0.6%
G 2
 
0.4%
S 2
 
0.4%
Other values (12) 14
 
2.6%
Hangul
ValueCountFrequency (%)
주 223
 
11.0%
스 74
 
3.6%
건 72
 
3.5%
설 65
 
3.2%
이 58
 
2.9%
업 55
 
2.7%
산 48
 
2.4%
광 43
 
2.1%
코 42
 
2.1%
양 39
 
1.9%
Other values (223) 1310
64.6%
None
ValueCountFrequency (%)
㈜ 73
100.0%

공사장소재지
Text

Distinct308
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-03-30T09:28:18.914991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length52
Mean length24.928571
Min length11

Characters and Unicode

Total characters8376
Distinct characters192
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

Unique288 ?
Unique (%)85.7%

Sample

1st row전라남도 광양시 광양읍 제철로 395
2nd row전라남도 광양시 광양읍 익신리 739-7
3rd row전라남도 광양시 광영동 산 67-8 일원
4th row전라남도 광양시 황금동 2336
5th row전라남도 광양시 황금동 2336
ValueCountFrequency (%)
광양시 336
 
18.3%
전라남도 330
 
17.9%
광양읍 90
 
4.9%
금호동 60
 
3.3%
태인동 40
 
2.2%
제철로 34
 
1.8%
일원 33
 
1.8%
도이동 23
 
1.2%
산 22
 
1.2%
옥곡면 19
 
1.0%
Other values (504) 853
46.4%
2024-03-30T09:28:19.805871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1564
18.7%
광 440
 
5.3%
양 432
 
5.2%
도 358
 
4.3%
남 352
 
4.2%
시 342
 
4.1%
전 331
 
4.0%
라 331
 
4.0%
1 304
 
3.6%
동 198
 
2.4%
Other values (182) 3724
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4879
58.2%
Space Separator 1564
 
18.7%
Decimal Number 1485
 
17.7%
Dash Punctuation 130
 
1.6%
Close Punctuation 123
 
1.5%
Open Punctuation 123
 
1.5%
Uppercase Letter 63
 
0.8%
Math Symbol 5
 
0.1%
Other Symbol 3
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 440
 
9.0%
양 432
 
8.9%
도 358
 
7.3%
남 352
 
7.2%
시 342
 
7.0%
전 331
 
6.8%
라 331
 
6.8%
동 198
 
4.1%
지 128
 
2.6%
로 103
 
2.1%
Other values (153) 1864
38.2%
Uppercase Letter
ValueCountFrequency (%)
O 14
22.2%
S 11
17.5%
C 10
15.9%
P 7
11.1%
L 6
9.5%
B 6
9.5%
T 3
 
4.8%
A 2
 
3.2%
I 1
 
1.6%
M 1
 
1.6%
Other values (2) 2
 
3.2%
Decimal Number
ValueCountFrequency (%)
1 304
20.5%
2 177
11.9%
6 160
10.8%
7 140
9.4%
3 137
9.2%
5 133
9.0%
8 130
8.8%
4 123
8.3%
0 100
 
6.7%
9 81
 
5.5%
Space Separator
ValueCountFrequency (%)
1564
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 130
100.0%
Close Punctuation
ValueCountFrequency (%)
) 123
100.0%
Open Punctuation
ValueCountFrequency (%)
( 123
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4882
58.3%
Common 3431
41.0%
Latin 63
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 440
 
9.0%
양 432
 
8.8%
도 358
 
7.3%
남 352
 
7.2%
시 342
 
7.0%
전 331
 
6.8%
라 331
 
6.8%
동 198
 
4.1%
지 128
 
2.6%
로 103
 
2.1%
Other values (154) 1867
38.2%
Common
ValueCountFrequency (%)
1564
45.6%
1 304
 
8.9%
2 177
 
5.2%
6 160
 
4.7%
7 140
 
4.1%
3 137
 
4.0%
5 133
 
3.9%
8 130
 
3.8%
- 130
 
3.8%
) 123
 
3.6%
Other values (6) 433
 
12.6%
Latin
ValueCountFrequency (%)
O 14
22.2%
S 11
17.5%
C 10
15.9%
P 7
11.1%
L 6
9.5%
B 6
9.5%
T 3
 
4.8%
A 2
 
3.2%
I 1
 
1.6%
M 1
 
1.6%
Other values (2) 2
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4879
58.2%
ASCII 3494
41.7%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1564
44.8%
1 304
 
8.7%
2 177
 
5.1%
6 160
 
4.6%
7 140
 
4.0%
3 137
 
3.9%
5 133
 
3.8%
8 130
 
3.7%
- 130
 
3.7%
) 123
 
3.5%
Other values (18) 496
 
14.2%
Hangul
ValueCountFrequency (%)
광 440
 
9.0%
양 432
 
8.9%
도 358
 
7.3%
남 352
 
7.2%
시 342
 
7.0%
전 331
 
6.8%
라 331
 
6.8%
동 198
 
4.1%
지 128
 
2.6%
로 103
 
2.1%
Other values (153) 1864
38.2%
None
ValueCountFrequency (%)
㈜ 3
100.0%

발생사업
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
건설업
129 
비금속물질채취·제조·가공업
66 
금속제품제조·가공업
48 
시멘트·석회·프라스터및시멘트관련제품제조및가공업
29 
고철또는곡물하역업
25 
Other values (7)
39 

Length

Max length25
Median length23
Mean length9.4672619
Min length3

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row폐기물 매립시설 설치·운영 사업
2nd row금속제품제조·가공업
3rd row건설업
4th row비금속물질채취·제조·가공업
5th row비금속물질채취·제조·가공업

Common Values

ValueCountFrequency (%)
건설업 129
38.4%
비금속물질채취·제조·가공업 66
19.6%
금속제품제조·가공업 48
 
14.3%
시멘트·석회·프라스터및시멘트관련제품제조및가공업 29
 
8.6%
고철또는곡물하역업 25
 
7.4%
운송장비제조업 9
 
2.7%
제1차금속제조업 9
 
2.7%
시멘트·석탄·토사등의운송업 8
 
2.4%
고철·곡물·사료·목재및광석의하역업또는보관업 4
 
1.2%
비료및사료제조업 4
 
1.2%
Other values (2) 5
 
1.5%

Length

2024-03-30T09:28:20.196756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
건설업 129
38.1%
비금속물질채취·제조·가공업 66
19.5%
금속제품제조·가공업 48
 
14.2%
시멘트·석회·프라스터및시멘트관련제품제조및가공업 29
 
8.6%
고철또는곡물하역업 25
 
7.4%
운송장비제조업 9
 
2.7%
제1차금속제조업 9
 
2.7%
시멘트·석탄·토사등의운송업 8
 
2.4%
고철·곡물·사료·목재및광석의하역업또는보관업 4
 
1.2%
비료및사료제조업 4
 
1.2%
Other values (5) 8
 
2.4%

공사기간
Text

Distinct310
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-03-30T09:28:20.564978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length9
Mean length12.214286
Min length9

Characters and Unicode

Total characters4104
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

Unique287 ?
Unique (%)85.4%

Sample

1st row20240311~
2nd row20240307~
3rd row20240311~20240831
4th row20240306~
5th row20240306~
ValueCountFrequency (%)
19930902 3
 
0.9%
20130627 3
 
0.9%
20190308 3
 
0.9%
20230302 2
 
0.6%
20230630~20241206 2
 
0.6%
20230717 2
 
0.6%
20210815~20250904 2
 
0.6%
20071010 2
 
0.6%
20120628 2
 
0.6%
20231208 2
 
0.6%
Other values (300) 313
93.2%
2024-03-30T09:28:21.314414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1087
26.5%
2 1027
25.0%
1 605
14.7%
~ 336
 
8.2%
3 264
 
6.4%
4 201
 
4.9%
9 150
 
3.7%
5 139
 
3.4%
6 113
 
2.8%
8 91
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3768
91.8%
Math Symbol 336
 
8.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1087
28.8%
2 1027
27.3%
1 605
16.1%
3 264
 
7.0%
4 201
 
5.3%
9 150
 
4.0%
5 139
 
3.7%
6 113
 
3.0%
8 91
 
2.4%
7 91
 
2.4%
Math Symbol
ValueCountFrequency (%)
~ 336
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4104
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1087
26.5%
2 1027
25.0%
1 605
14.7%
~ 336
 
8.2%
3 264
 
6.4%
4 201
 
4.9%
9 150
 
3.7%
5 139
 
3.4%
6 113
 
2.8%
8 91
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4104
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1087
26.5%
2 1027
25.0%
1 605
14.7%
~ 336
 
8.2%
3 264
 
6.4%
4 201
 
4.9%
9 150
 
3.7%
5 139
 
3.4%
6 113
 
2.8%
8 91
 
2.2%

대상사업(규모)
Text

Distinct325
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-03-30T09:28:21.752787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length134
Median length56
Mean length28.982143
Min length2

Characters and Unicode

Total characters9738
Distinct characters286
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique315 ?
Unique (%)93.8%

Sample

1st row폐기물최종처분업 및 폐기물종합처분업 (대지면적 19587㎡ 건축면적 3012.8㎡[중간재활용업])
2nd row구조금속제품제조업 (생산량 10톤/년 건축면적 735.84㎡)
3rd row토목공사 (주차장 조성(A=3628㎡ 주차면 58면))
4th row비금속광물 분쇄물 생산업 (대지면적 34007㎡ 건축면적 2566.70㎡/생산량 300000㎥/년)
5th row비금속광물 분쇄물 생산업 (대지면적 34007㎡ 건축면적 2566.70㎡/생산량 300000㎥/년)
ValueCountFrequency (%)
토목공사 77
 
5.8%
77
 
5.8%
건축물축조공사 49
 
3.7%
비금속광물 41
 
3.1%
분쇄물 40
 
3.0%
생산업 40
 
3.0%
구조금속제품제조업 35
 
2.6%
연면적 28
 
2.1%
토사석광업 24
 
1.8%
건축면적 18
 
1.4%
Other values (658) 899
67.7%
2024-03-30T09:28:22.449216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1043
 
10.7%
0 664
 
6.8%
( 463
 
4.8%
) 462
 
4.7%
1 298
 
3.1%
㎡ 251
 
2.6%
조 230
 
2.4%
업 225
 
2.3%
2 222
 
2.3%
사 213
 
2.2%
Other values (276) 5667
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4421
45.4%
Decimal Number 2339
24.0%
Space Separator 1043
 
10.7%
Other Punctuation 480
 
4.9%
Open Punctuation 464
 
4.8%
Close Punctuation 463
 
4.8%
Other Symbol 324
 
3.3%
Lowercase Letter 90
 
0.9%
Uppercase Letter 71
 
0.7%
Math Symbol 34
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 230
 
5.2%
업 225
 
5.1%
사 213
 
4.8%
제 212
 
4.8%
공 195
 
4.4%
물 162
 
3.7%
적 145
 
3.3%
축 135
 
3.1%
면 133
 
3.0%
토 129
 
2.9%
Other values (219) 2642
59.8%
Uppercase Letter
ValueCountFrequency (%)
L 21
29.6%
B 9
12.7%
T 7
 
9.9%
E 6
 
8.5%
U 5
 
7.0%
A 4
 
5.6%
K 3
 
4.2%
D 3
 
4.2%
H 2
 
2.8%
N 2
 
2.8%
Other values (5) 9
12.7%
Lowercase Letter
ValueCountFrequency (%)
m 36
40.0%
t 32
35.6%
o 5
 
5.6%
n 4
 
4.4%
g 3
 
3.3%
r 2
 
2.2%
y 1
 
1.1%
e 1
 
1.1%
d 1
 
1.1%
w 1
 
1.1%
Other values (4) 4
 
4.4%
Decimal Number
ValueCountFrequency (%)
0 664
28.4%
1 298
12.7%
2 222
 
9.5%
3 202
 
8.6%
5 184
 
7.9%
4 167
 
7.1%
6 163
 
7.0%
8 162
 
6.9%
7 139
 
5.9%
9 138
 
5.9%
Other Punctuation
ValueCountFrequency (%)
: 195
40.6%
. 132
27.5%
/ 121
25.2%
· 23
 
4.8%
* 8
 
1.7%
※ 1
 
0.2%
Other Symbol
ValueCountFrequency (%)
㎡ 251
77.5%
㎥ 65
 
20.1%
㎞ 6
 
1.9%
㎜ 2
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 463
99.8%
[ 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 462
99.8%
] 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
= 31
91.2%
~ 3
 
8.8%
Space Separator
ValueCountFrequency (%)
1043
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5156
52.9%
Hangul 4420
45.4%
Latin 161
 
1.7%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 230
 
5.2%
업 225
 
5.1%
사 213
 
4.8%
제 212
 
4.8%
공 195
 
4.4%
물 162
 
3.7%
적 145
 
3.3%
축 135
 
3.1%
면 133
 
3.0%
토 129
 
2.9%
Other values (218) 2641
59.8%
Latin
ValueCountFrequency (%)
m 36
22.4%
t 32
19.9%
L 21
13.0%
B 9
 
5.6%
T 7
 
4.3%
E 6
 
3.7%
o 5
 
3.1%
U 5
 
3.1%
n 4
 
2.5%
A 4
 
2.5%
Other values (19) 32
19.9%
Common
ValueCountFrequency (%)
1043
20.2%
0 664
12.9%
( 463
 
9.0%
) 462
 
9.0%
1 298
 
5.8%
㎡ 251
 
4.9%
2 222
 
4.3%
3 202
 
3.9%
: 195
 
3.8%
5 184
 
3.6%
Other values (18) 1172
22.7%
Han
ValueCountFrequency (%)
外 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4969
51.0%
Hangul 4420
45.4%
CJK Compat 324
 
3.3%
None 23
 
0.2%
Punctuation 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1043
21.0%
0 664
13.4%
( 463
9.3%
) 462
9.3%
1 298
 
6.0%
2 222
 
4.5%
3 202
 
4.1%
: 195
 
3.9%
5 184
 
3.7%
4 167
 
3.4%
Other values (41) 1069
21.5%
CJK Compat
ValueCountFrequency (%)
㎡ 251
77.5%
㎥ 65
 
20.1%
㎞ 6
 
1.9%
㎜ 2
 
0.6%
Hangul
ValueCountFrequency (%)
조 230
 
5.2%
업 225
 
5.1%
사 213
 
4.8%
제 212
 
4.8%
공 195
 
4.4%
물 162
 
3.7%
적 145
 
3.3%
축 135
 
3.1%
면 133
 
3.0%
토 129
 
2.9%
Other values (218) 2641
59.8%
None
ValueCountFrequency (%)
· 23
100.0%
Punctuation
ValueCountFrequency (%)
※ 1
100.0%
CJK
ValueCountFrequency (%)
外 1
100.0%

세륜시설 여부
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
O
210 
X
123 
역구내및기타지역의저탄사업 ((일반 창고업)사업장 총 면적: 31919.10㎡)
 
1
역구내및기타지역의저탄사업 (야적면적 : 2975.207㎡ 창고면적 : 1752.066㎡)
 
1
역구내및기타지역의저탄사업 (생산제품 20000톤/년)
 
1

Length

Max length49
Median length1
Mean length1.3511905
Min length1

Unique

Unique3 ?
Unique (%)0.9%

Sample

1st rowO
2nd rowX
3rd rowO
4th rowO
5th rowO

Common Values

ValueCountFrequency (%)
O 210
62.5%
X 123
36.6%
역구내및기타지역의저탄사업 ((일반 창고업)사업장 총 면적: 31919.10㎡) 1
 
0.3%
역구내및기타지역의저탄사업 (야적면적 : 2975.207㎡ 창고면적 : 1752.066㎡) 1
 
0.3%
역구내및기타지역의저탄사업 (생산제품 20000톤/년) 1
 
0.3%

Length

2024-03-30T09:28:22.857104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-30T09:28:23.200061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 210
60.2%
x 123
35.2%
역구내및기타지역의저탄사업 3
 
0.9%
2
 
0.6%
일반 1
 
0.3%
창고업)사업장 1
 
0.3%
총 1
 
0.3%
면적 1
 
0.3%
31919.10㎡ 1
 
0.3%
야적면적 1
 
0.3%
Other values (5) 5
 
1.4%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum2024-03-15 00:00:00
Maximum2024-03-15 00:00:00
2024-03-30T09:28:23.471679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T09:28:23.676117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-30T09:28:15.477747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-30T09:28:23.808010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번발생사업세륜시설 여부
연번1.0000.6310.359
발생사업0.6311.0000.724
세륜시설 여부0.3590.7241.000
2024-03-30T09:28:23.997991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발생사업세륜시설 여부
발생사업1.0000.505
세륜시설 여부0.5051.000
2024-03-30T09:28:24.234168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번발생사업세륜시설 여부
연번1.0000.3250.156
발생사업0.3251.0000.505
세륜시설 여부0.1560.5051.000

Missing values

2024-03-30T09:28:15.709672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-30T09:28:15.966290image/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

연번사업장명공사장소재지발생사업공사기간대상사업(규모)세륜시설 여부데이터기준일
01(주)마래이엔티전라남도 광양시 광양읍 제철로 395폐기물 매립시설 설치·운영 사업20240311~폐기물최종처분업 및 폐기물종합처분업 (대지면적 19587㎡ 건축면적 3012.8㎡[중간재활용업])O2024-03-15
12(주)비아이테크전라남도 광양시 광양읍 익신리 739-7금속제품제조·가공업20240307~구조금속제품제조업 (생산량 10톤/년 건축면적 735.84㎡)X2024-03-15
23(주)에프엠산업전라남도 광양시 광영동 산 67-8 일원건설업20240311~20240831토목공사 (주차장 조성(A=3628㎡ 주차면 58면))O2024-03-15
34대원산업(주)전라남도 광양시 황금동 2336비금속물질채취·제조·가공업20240306~비금속광물 분쇄물 생산업 (대지면적 34007㎡ 건축면적 2566.70㎡/생산량 300000㎥/년)O2024-03-15
45대원산업(주)전라남도 광양시 황금동 2336비금속물질채취·제조·가공업20240306~비금속광물 분쇄물 생산업 (대지면적 34007㎡ 건축면적 2566.70㎡/생산량 300000㎥/년)O2024-03-15
56(주)대아건설전라남도 광양시 옥룡면 일원건설업20240301~20251108토목공사 (공사면적 14560㎡ 굴착토사량 11200㎥)O2024-03-15
67해동정밀전라남도 광양시 광양읍 익신산단1길 32금속제품제조·가공업20240215~금속처리업 (생산량 10톤/년 제조시설면적 264㎡)X2024-03-15
78(주)에스앤지건설전라남도 광양시 항만8로 18-35 (도이동)건설업20240219~20240815건축물축조공사 (창고시설 증축 1651.71㎡)O2024-03-15
89동남종합건설(주)전라남도 광양시 금호동 864건설업20240201~20241031토목공사 (연면적 5646㎡(지하1층~지상1층))O2024-03-15
910공성건설(주)전라남도 광양시 중동 1696 일원건설업20240131~20250103토목공사 (연면적 3857㎡)O2024-03-15
연번사업장명공사장소재지발생사업공사기간대상사업(규모)세륜시설 여부데이터기준일
326327섬진개발전라남도 광양시 다압면 도사리 1455번지 30호비금속물질채취·제조·가공업19980805~20501231비금속광물 분쇄물 생산업 (4㎥/일)X2024-03-15
327328백운기업전라남도 광양시 다압면 대밭1길 98비금속물질채취·제조·가공업19960319~토사석광업 (모래 30톤/일 몰탈 14톤/일t(톤)/시간)O2024-03-15
328329국제골재전라남도 광양시 광양읍 우산리 560번지 1호비금속물질채취·제조·가공업19931117~토사석광업 (400㎡)X2024-03-15
329330동양콘크리트전라남도 광양시 광양읍 인서리 330번지 2호시멘트·석회·프라스터및시멘트관련제품제조및가공업19930902~21001231콘크리트제품제조업 (104000개)X2024-03-15
330331일오골재전라남도 광양시 옥룡면 산남리 255번지 1호비금속물질채취·제조·가공업19930902~토사석광업 (1983.4㎡)X2024-03-15
331332신원블럭전라남도 광양시 다압면 신원리 510번지시멘트·석회·프라스터및시멘트관련제품제조및가공업19930902~21001231콘크리트제품제조업 (50000개)X2024-03-15
332333성산건설산업(주)전라남도 광양시 광양읍 죽림리 36-1번지비금속물질채취·제조·가공업19930902~석탄제품제조업및아스콘제조업 (30000톤/년)O2024-03-15
333334중원산업(주)전라남도 광양시 광양읍 죽림리 128번지 1호시멘트·석회·프라스터및시멘트관련제품제조및가공업19930902~콘크리트제품제조업 (900㎥/일)O2024-03-15
334335우성골재전라남도 광양시 광양읍 덕례리 1468번지 1호비금속물질채취·제조·가공업19981105~토사석광업 (야적장 4700평방미터(골재 3600 모래자갈 1100)㎡)X2024-03-15
335336동양레미콘(주)전라남도 광양시 용장길 60 (성황동)시멘트·석회·프라스터및시멘트관련제품제조및가공업19930823~콘크리트제품제조업 (레미콘제조시설 900세제곱미터/일㎥)O2024-03-15