Overview

Dataset statistics

Number of variables9
Number of observations317
Missing cells33
Missing cells (%)1.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.7 KiB
Average record size in memory73.4 B

Variable types

Numeric1
Categorical3
Text4
DateTime1

Dataset

Description전북특별자치도 소방산업체 업종별 현황(설계업, 공사업, 감리업, 방염업, 관리업, 상호, 대표자 등)전북특별자치도에 등록된 소방산업체가 위치한 시/군/구의 이름
Author전북특별자치도
URLhttps://www.data.go.kr/data/15055619/fileData.do

Alerts

연번 is highly overall correlated with 업종High correlation
업종 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
분야 is highly overall correlated with 업종High correlation
분야 is highly imbalanced (52.3%)Imbalance
전화번호 has 4 (1.3%) missing valuesMissing
등록일자 has 29 (9.1%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 14:47:41.305887
Analysis finished2024-03-14 14:47:43.258320
Duration1.95 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct317
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean159
Minimum1
Maximum317
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-03-14T23:47:43.476416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16.8
Q180
median159
Q3238
95-th percentile301.2
Maximum317
Range316
Interquartile range (IQR)158

Descriptive statistics

Standard deviation91.654242
Coefficient of variation (CV)0.57644177
Kurtosis-1.2
Mean159
Median Absolute Deviation (MAD)79
Skewness0
Sum50403
Variance8400.5
MonotonicityStrictly increasing
2024-03-14T23:47:43.921820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
210 1
 
0.3%
217 1
 
0.3%
216 1
 
0.3%
215 1
 
0.3%
214 1
 
0.3%
213 1
 
0.3%
212 1
 
0.3%
211 1
 
0.3%
209 1
 
0.3%
Other values (307) 307
96.8%
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 (%)
317 1
0.3%
316 1
0.3%
315 1
0.3%
314 1
0.3%
313 1
0.3%
312 1
0.3%
311 1
0.3%
310 1
0.3%
309 1
0.3%
308 1
0.3%

세부지역
Categorical

Distinct16
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
완산구
66 
덕진구
49 
군산시
47 
전주시
35 
익산시
35 
Other values (11)
85 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row전주시
2nd row전주시
3rd row전주시
4th row부안군
5th row남원시

Common Values

ValueCountFrequency (%)
완산구 66
20.8%
덕진구 49
15.5%
군산시 47
14.8%
전주시 35
11.0%
익산시 35
11.0%
정읍시 15
 
4.7%
완주군 14
 
4.4%
남원시 13
 
4.1%
부안군 11
 
3.5%
김제시 10
 
3.2%
Other values (6) 22
 
6.9%

Length

2024-03-14T23:47:44.343174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
완산구 66
20.8%
덕진구 49
15.5%
군산시 47
14.8%
전주시 35
11.0%
익산시 35
11.0%
정읍시 15
 
4.7%
완주군 14
 
4.4%
남원시 13
 
4.1%
부안군 11
 
3.5%
김제시 10
 
3.2%
Other values (6) 22
 
6.9%

상호
Text

Distinct290
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-03-14T23:47:45.259346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length16
Mean length8.0820189
Min length4

Characters and Unicode

Total characters2562
Distinct characters203
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique263 ?
Unique (%)83.0%

Sample

1st row티앤제이건설(주)
2nd row(주)주연이엔지
3rd row(주)대신기술단
4th row태인엔지니어링(주)
5th row세웅이엔씨
ValueCountFrequency (%)
주식회사 51
 
13.0%
유한회사 18
 
4.6%
티앤제이건설(주 2
 
0.5%
유)한국방재 2
 
0.5%
유)우리소방 2
 
0.5%
미래방재 2
 
0.5%
전라북도학교안전공제회 2
 
0.5%
㈜나라소방 2
 
0.5%
대한방재㈜ 2
 
0.5%
주)모빌건설 2
 
0.5%
Other values (288) 307
78.3%
2024-03-14T23:47:46.599198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 192
 
7.5%
( 191
 
7.5%
주 151
 
5.9%
유 126
 
4.9%
방 105
 
4.1%
사 95
 
3.7%
81
 
3.2%
이 77
 
3.0%
엔 76
 
3.0%
회 73
 
2.8%
Other values (193) 1395
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2067
80.7%
Close Punctuation 192
 
7.5%
Open Punctuation 191
 
7.5%
Space Separator 81
 
3.2%
Other Symbol 22
 
0.9%
Uppercase Letter 5
 
0.2%
Other Punctuation 2
 
0.1%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 151
 
7.3%
유 126
 
6.1%
방 105
 
5.1%
사 95
 
4.6%
이 77
 
3.7%
엔 76
 
3.7%
회 73
 
3.5%
지 72
 
3.5%
소 68
 
3.3%
전 57
 
2.8%
Other values (182) 1167
56.5%
Uppercase Letter
ValueCountFrequency (%)
C 2
40.0%
E 2
40.0%
S 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
& 1
50.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
50.0%
k 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 192
100.0%
Open Punctuation
ValueCountFrequency (%)
( 191
100.0%
Space Separator
ValueCountFrequency (%)
81
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2089
81.5%
Common 466
 
18.2%
Latin 7
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 151
 
7.2%
유 126
 
6.0%
방 105
 
5.0%
사 95
 
4.5%
이 77
 
3.7%
엔 76
 
3.6%
회 73
 
3.5%
지 72
 
3.4%
소 68
 
3.3%
전 57
 
2.7%
Other values (183) 1189
56.9%
Common
ValueCountFrequency (%)
) 192
41.2%
( 191
41.0%
81
17.4%
. 1
 
0.2%
& 1
 
0.2%
Latin
ValueCountFrequency (%)
C 2
28.6%
E 2
28.6%
s 1
14.3%
k 1
14.3%
S 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2067
80.7%
ASCII 473
 
18.5%
None 22
 
0.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 192
40.6%
( 191
40.4%
81
17.1%
C 2
 
0.4%
E 2
 
0.4%
. 1
 
0.2%
s 1
 
0.2%
k 1
 
0.2%
& 1
 
0.2%
S 1
 
0.2%
Hangul
ValueCountFrequency (%)
주 151
 
7.3%
유 126
 
6.1%
방 105
 
5.1%
사 95
 
4.6%
이 77
 
3.7%
엔 76
 
3.7%
회 73
 
3.5%
지 72
 
3.5%
소 68
 
3.3%
전 57
 
2.8%
Other values (182) 1167
56.5%
None
ValueCountFrequency (%)
㈜ 22
100.0%

전화번호
Text

MISSING 

Distinct270
Distinct (%)86.3%
Missing4
Missing (%)1.3%
Memory size2.6 KiB
2024-03-14T23:47:47.627862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.01278
Min length12

Characters and Unicode

Total characters3760
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

Unique231 ?
Unique (%)73.8%

Sample

1st row063-260-9700
2nd row063-227-6606
3rd row063-226-6500
4th row063-236-6200
5th row063-634-2600
ValueCountFrequency (%)
063-531-1119 4
 
1.3%
062-954-0455 3
 
1.0%
063-227-6606 3
 
1.0%
063-274-8119 2
 
0.6%
063-836-3876 2
 
0.6%
063-247-3119 2
 
0.6%
063-538-2258 2
 
0.6%
063-227-0091 2
 
0.6%
063-272-0111 2
 
0.6%
063-237-1919 2
 
0.6%
Other values (260) 289
92.3%
2024-03-14T23:47:48.778121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 626
16.6%
6 493
13.1%
0 488
13.0%
3 479
12.7%
2 383
10.2%
1 351
9.3%
4 244
 
6.5%
5 233
 
6.2%
8 159
 
4.2%
9 153
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3134
83.4%
Dash Punctuation 626
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 493
15.7%
0 488
15.6%
3 479
15.3%
2 383
12.2%
1 351
11.2%
4 244
7.8%
5 233
7.4%
8 159
 
5.1%
9 153
 
4.9%
7 151
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 626
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3760
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 626
16.6%
6 493
13.1%
0 488
13.0%
3 479
12.7%
2 383
10.2%
1 351
9.3%
4 244
 
6.5%
5 233
 
6.2%
8 159
 
4.2%
9 153
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3760
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 626
16.6%
6 493
13.1%
0 488
13.0%
3 479
12.7%
2 383
10.2%
1 351
9.3%
4 244
 
6.5%
5 233
 
6.2%
8 159
 
4.2%
9 153
 
4.1%

주소
Text

Distinct297
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-03-14T23:47:50.184889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length56
Mean length35.33123
Min length13

Characters and Unicode

Total characters11200
Distinct characters250
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

Unique277 ?
Unique (%)87.4%

Sample

1st row(55008) 전라북도 전주시 덕진구 팽나무4길 15-5 (인후동1가)
2nd row(55062) 전라북도 전주시 완산구 호암로 82 402호(그린빌딩) (효자동2가)
3rd row(55038) 전라북도 전주시 완산구 전주천동로 210 (다가동2가)
4th row(56320) 전라북도 부안군 백산면 부평로 214-20 ()
5th row(55733) 전라북도 남원시 요천로 1871 (고죽동)
ValueCountFrequency (%)
전라북도 306
 
14.3%
전주시 148
 
6.9%
완산구 91
 
4.3%
덕진구 61
 
2.9%
군산시 48
 
2.2%
익산시 34
 
1.6%
29
 
1.4%
2층 24
 
1.1%
1층 16
 
0.7%
정읍시 14
 
0.7%
Other values (853) 1369
64.0%
2024-03-14T23:47:51.942613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1941
 
17.3%
) 595
 
5.3%
( 579
 
5.2%
5 522
 
4.7%
전 475
 
4.2%
1 435
 
3.9%
4 353
 
3.2%
북 332
 
3.0%
도 319
 
2.8%
라 308
 
2.8%
Other values (240) 5341
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5189
46.3%
Decimal Number 2777
24.8%
Space Separator 1941
 
17.3%
Close Punctuation 595
 
5.3%
Open Punctuation 579
 
5.2%
Dash Punctuation 113
 
1.0%
Other Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 475
 
9.2%
북 332
 
6.4%
도 319
 
6.1%
라 308
 
5.9%
동 293
 
5.6%
시 280
 
5.4%
산 241
 
4.6%
로 201
 
3.9%
구 191
 
3.7%
주 185
 
3.6%
Other values (225) 2364
45.6%
Decimal Number
ValueCountFrequency (%)
5 522
18.8%
1 435
15.7%
4 353
12.7%
2 289
10.4%
0 243
8.8%
3 243
8.8%
6 213
7.7%
7 181
 
6.5%
9 160
 
5.8%
8 138
 
5.0%
Space Separator
ValueCountFrequency (%)
1941
100.0%
Close Punctuation
ValueCountFrequency (%)
) 595
100.0%
Open Punctuation
ValueCountFrequency (%)
( 579
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 113
100.0%
Other Punctuation
ValueCountFrequency (%)
. 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6011
53.7%
Hangul 5189
46.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 475
 
9.2%
북 332
 
6.4%
도 319
 
6.1%
라 308
 
5.9%
동 293
 
5.6%
시 280
 
5.4%
산 241
 
4.6%
로 201
 
3.9%
구 191
 
3.7%
주 185
 
3.6%
Other values (225) 2364
45.6%
Common
ValueCountFrequency (%)
1941
32.3%
) 595
 
9.9%
( 579
 
9.6%
5 522
 
8.7%
1 435
 
7.2%
4 353
 
5.9%
2 289
 
4.8%
0 243
 
4.0%
3 243
 
4.0%
6 213
 
3.5%
Other values (5) 598
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6011
53.7%
Hangul 5189
46.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1941
32.3%
) 595
 
9.9%
( 579
 
9.6%
5 522
 
8.7%
1 435
 
7.2%
4 353
 
5.9%
2 289
 
4.8%
0 243
 
4.0%
3 243
 
4.0%
6 213
 
3.5%
Other values (5) 598
 
9.9%
Hangul
ValueCountFrequency (%)
전 475
 
9.2%
북 332
 
6.4%
도 319
 
6.1%
라 308
 
5.9%
동 293
 
5.6%
시 280
 
5.4%
산 241
 
4.6%
로 201
 
3.9%
구 191
 
3.7%
주 185
 
3.6%
Other values (225) 2364
45.6%

업종
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
공사업
225 
관리업
29 
설계업
25 
감리업
 
19
방염업
 
19

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row설계업
2nd row설계업
3rd row설계업
4th row설계업
5th row설계업

Common Values

ValueCountFrequency (%)
공사업 225
71.0%
관리업 29
 
9.1%
설계업 25
 
7.9%
감리업 19
 
6.0%
방염업 19
 
6.0%

Length

2024-03-14T23:47:52.167667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:47:52.353116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공사업 225
71.0%
관리업 29
 
9.1%
설계업 25
 
7.9%
감리업 19
 
6.0%
방염업 19
 
6.0%

분야
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct8
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
전문
229 
일반(전기 기계)
34 
<NA>
29 
합판목재류
 
14
일반(전기)
 
4
Other values (3)
 
7

Length

Max length9
Median length2
Mean length3.1829653
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row일반(전기 기계)
2nd row일반(전기 기계)
3rd row일반(전기 기계)
4th row일반(전기 기계)
5th row일반(전기 기계)

Common Values

ValueCountFrequency (%)
전문 229
72.2%
일반(전기 기계) 34
 
10.7%
<NA> 29
 
9.1%
합판목재류 14
 
4.4%
일반(전기) 4
 
1.3%
합성수지류 4
 
1.3%
일반(기계) 2
 
0.6%
섬유류 1
 
0.3%

Length

2024-03-14T23:47:52.565916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:47:52.790632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전문 229
65.2%
일반(전기 38
 
10.8%
기계 34
 
9.7%
na 29
 
8.3%
합판목재류 14
 
4.0%
합성수지류 4
 
1.1%
일반(기계 2
 
0.6%
섬유류 1
 
0.3%

소방시설업 등록번호
Text

Distinct310
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-03-14T23:47:53.694488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length13
Mean length12.479495
Min length6

Characters and Unicode

Total characters3956
Distinct characters44
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

Unique304 ?
Unique (%)95.9%

Sample

1st row전주덕진 제2010-4호
2nd row전주완산 제2007-4호
3rd row전주완산 제98-71호
4th row부안 제2015-02호
5th row남원제2010-01호
ValueCountFrequency (%)
전주덕진 26
 
6.5%
전북군산 17
 
4.2%
전주완산 10
 
2.5%
남원 4
 
1.0%
전북익산 4
 
1.0%
전북김제 4
 
1.0%
제2009-1호 3
 
0.7%
제2011-1호 3
 
0.7%
소방시설관리사 3
 
0.7%
제2007-4호 3
 
0.7%
Other values (308) 326
80.9%
2024-03-14T23:47:54.848279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 919
23.2%
2 512
12.9%
- 455
11.5%
1 372
9.4%
호 205
 
5.2%
제 199
 
5.0%
전 125
 
3.2%
5 103
 
2.6%
4 98
 
2.5%
9 95
 
2.4%
Other values (34) 873
22.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2426
61.3%
Other Letter 980
24.8%
Dash Punctuation 455
 
11.5%
Space Separator 91
 
2.3%
Close Punctuation 3
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 205
20.9%
제 199
20.3%
전 125
12.8%
산 81
 
8.3%
주 75
 
7.7%
북 50
 
5.1%
진 47
 
4.8%
덕 45
 
4.6%
완 39
 
4.0%
군 32
 
3.3%
Other values (20) 82
 
8.4%
Decimal Number
ValueCountFrequency (%)
0 919
37.9%
2 512
21.1%
1 372
15.3%
5 103
 
4.2%
4 98
 
4.0%
9 95
 
3.9%
3 87
 
3.6%
7 85
 
3.5%
6 81
 
3.3%
8 74
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 455
100.0%
Space Separator
ValueCountFrequency (%)
91
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2976
75.2%
Hangul 980
 
24.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 205
20.9%
제 199
20.3%
전 125
12.8%
산 81
 
8.3%
주 75
 
7.7%
북 50
 
5.1%
진 47
 
4.8%
덕 45
 
4.6%
완 39
 
4.0%
군 32
 
3.3%
Other values (20) 82
 
8.4%
Common
ValueCountFrequency (%)
0 919
30.9%
2 512
17.2%
- 455
15.3%
1 372
12.5%
5 103
 
3.5%
4 98
 
3.3%
9 95
 
3.2%
91
 
3.1%
3 87
 
2.9%
7 85
 
2.9%
Other values (4) 159
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2976
75.2%
Hangul 980
 
24.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 919
30.9%
2 512
17.2%
- 455
15.3%
1 372
12.5%
5 103
 
3.5%
4 98
 
3.3%
9 95
 
3.2%
91
 
3.1%
3 87
 
2.9%
7 85
 
2.9%
Other values (4) 159
 
5.3%
Hangul
ValueCountFrequency (%)
호 205
20.9%
제 199
20.3%
전 125
12.8%
산 81
 
8.3%
주 75
 
7.7%
북 50
 
5.1%
진 47
 
4.8%
덕 45
 
4.6%
완 39
 
4.0%
군 32
 
3.3%
Other values (20) 82
 
8.4%

등록일자
Date

MISSING 

Distinct271
Distinct (%)94.1%
Missing29
Missing (%)9.1%
Memory size2.6 KiB
Minimum1985-08-12 00:00:00
Maximum2020-02-20 00:00:00
2024-03-14T23:47:55.323140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:47:55.648582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-03-14T23:47:41.988478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T23:47:55.806301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번세부지역업종분야
연번1.0000.4330.9770.660
세부지역0.4331.0000.5530.401
업종0.9770.5531.0000.857
분야0.6600.4010.8571.000
2024-03-14T23:47:55.963383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분야세부지역업종
분야1.0000.1920.782
세부지역0.1921.0000.315
업종0.7820.3151.000
2024-03-14T23:47:56.110695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번세부지역업종분야
연번1.0000.1830.7810.409
세부지역0.1831.0000.3150.192
업종0.7810.3151.0000.782
분야0.4090.1920.7821.000

Missing values

2024-03-14T23:47:42.339337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T23:47:42.790831image/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.
2024-03-14T23:47:43.110764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번세부지역상호전화번호주소업종분야소방시설업 등록번호등록일자
01전주시티앤제이건설(주)063-260-9700(55008) 전라북도 전주시 덕진구 팽나무4길 15-5 (인후동1가)설계업일반(전기 기계)전주덕진 제2010-4호2010-11-10
12전주시(주)주연이엔지063-227-6606(55062) 전라북도 전주시 완산구 호암로 82 402호(그린빌딩) (효자동2가)설계업일반(전기 기계)전주완산 제2007-4호2003-01-08
23전주시(주)대신기술단063-226-6500(55038) 전라북도 전주시 완산구 전주천동로 210 (다가동2가)설계업일반(전기 기계)전주완산 제98-71호1998-01-22
34부안군태인엔지니어링(주)063-236-6200(56320) 전라북도 부안군 백산면 부평로 214-20 ()설계업일반(전기 기계)부안 제2015-02호2006-04-10
45남원시세웅이엔씨063-634-2600(55733) 전라북도 남원시 요천로 1871 (고죽동)설계업일반(전기 기계)남원제2010-01호2010-01-15
56전주시(유)다산이엔지063-251-8391(54956) 전라북도 전주시 완산구 서곡로 69 (효자동3가 2층)설계업일반(전기 기계)전주완산제2002-11호2002-07-29
67전주시(주)이린063-227-6626(54977) 전라북도 전주시 완산구 중산로 20 (중화산동2가)설계업일반(전기 기계)전주완산제2006-19호2006-09-13
78전주시주식회사 대화063-228-2127(55058) 전라북도 전주시 완산구 우전2길 47 (효자동2가) 3층 4층설계업일반(전기 기계)2018-01-001442006-03-31
89전주시(주)진원엠이씨063-254-1452(54981) 전라북도 전주시 완산구 영선로 8-21 (중화산동2가) 2층설계업일반(기계)2018-01-000192013-10-31
910전주시(유)전일기술단063-243-4628(55030) 전라북도 전주시 덕진구 아중로 140 (인후동1가)설계업일반(전기 기계)전주덕진제2005-10호2005-10-12
연번세부지역상호전화번호주소업종분야소방시설업 등록번호등록일자
307308정읍시더원방재E&C063-536-1192전라북도 정읍시 서부산업도로 507-8관리업<NA>정읍 제2016-1호<NA>
308309남원시(유)케이에스소방<NA>전라북도 남원시 시청로 61(향교동)관리업<NA>전북남원 제2015-01호<NA>
309310무주군(유)우리소방063-324-3119전라북도 무주군 무주읍 적천로 331관리업<NA>무진장 제2013-1호<NA>
310311전주시유한회사 sk소방063-245-6119전주시 덕진구 아중7길 13-7관리업<NA>덕진2010-01호<NA>
311312전주시(유)전북방재062-954-0455전주시 덕진구 전주천동로 416관리업<NA>전주덕진-2018-02호<NA>
312313전주시나래방재㈜063-247-3119전주시 덕진구 한배미로60(우아동1가) 2층관리업<NA>전주덕진-2019-02호<NA>
313314부안군케이비종합방재㈜063-584-1195부안군 부안읍 번영로 89 2층관리업<NA>전주부안-2019-0001호<NA>
314315덕진구대한방재㈜063-247-5119전주시 덕진구 안덕원로 326(인후동1가) 2층관리업<NA>전주덕진-2019-0002호<NA>
315316덕진구(유)전북종합방재063-272-0111전주시 덕진구 팔달로 304-6(진북동)관리업<NA>전주덕진 2020-0001호<NA>
316317김제시㈜나라소방063-543-1197김제시 두월로 356(검산동)관리업<NA>김제-2020-0001호<NA>