Overview

Dataset statistics

Number of variables7
Number of observations260
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.9 KiB
Average record size in memory58.5 B

Variable types

Text4
Numeric2
DateTime1

Dataset

Description부산광역시_사상구_전문건설업현황_20230614
Author부산광역시 사상구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3081474

Alerts

데이터기준 has constant value ""Constant

Reproduction

Analysis started2023-12-10 17:15:44.733385
Analysis finished2023-12-10 17:15:46.501665
Duration1.77 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

Distinct259
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-11T02:15:46.769694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length7.3153846
Min length3

Characters and Unicode

Total characters1902
Distinct characters233
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

Unique258 ?
Unique (%)99.2%

Sample

1st row(주)가야기술
2nd row(주)가온이엔씨
3rd row(주)경성창호
4th row(주)경창엔지니어링
5th row(주)구룡산전
ValueCountFrequency (%)
대우설비 2
 
0.8%
능전종합건설(주 1
 
0.4%
세오건설(주 1
 
0.4%
세이프퀴슬부산서비스 1
 
0.4%
서보텍 1
 
0.4%
선명기전 1
 
0.4%
성경산업 1
 
0.4%
성광가스 1
 
0.4%
성광설비 1
 
0.4%
성민정비공업사 1
 
0.4%
Other values (249) 249
95.8%
2023-12-11T02:15:47.440740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 183
 
9.6%
( 154
 
8.1%
) 154
 
8.1%
건 73
 
3.8%
설 71
 
3.7%
이 57
 
3.0%
사 39
 
2.1%
업 35
 
1.8%
비 32
 
1.7%
지 32
 
1.7%
Other values (223) 1072
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1574
82.8%
Open Punctuation 154
 
8.1%
Close Punctuation 154
 
8.1%
Uppercase Letter 13
 
0.7%
Other Symbol 4
 
0.2%
Decimal Number 2
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 183
 
11.6%
건 73
 
4.6%
설 71
 
4.5%
이 57
 
3.6%
사 39
 
2.5%
업 35
 
2.2%
비 32
 
2.0%
지 32
 
2.0%
산 32
 
2.0%
스 32
 
2.0%
Other values (209) 988
62.8%
Uppercase Letter
ValueCountFrequency (%)
C 3
23.1%
A 2
15.4%
S 2
15.4%
G 1
 
7.7%
E 1
 
7.7%
J 1
 
7.7%
K 1
 
7.7%
O 1
 
7.7%
T 1
 
7.7%
Open Punctuation
ValueCountFrequency (%)
( 154
100.0%
Close Punctuation
ValueCountFrequency (%)
) 154
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1578
83.0%
Common 311
 
16.4%
Latin 13
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 183
 
11.6%
건 73
 
4.6%
설 71
 
4.5%
이 57
 
3.6%
사 39
 
2.5%
업 35
 
2.2%
비 32
 
2.0%
지 32
 
2.0%
산 32
 
2.0%
스 32
 
2.0%
Other values (210) 992
62.9%
Latin
ValueCountFrequency (%)
C 3
23.1%
A 2
15.4%
S 2
15.4%
G 1
 
7.7%
E 1
 
7.7%
J 1
 
7.7%
K 1
 
7.7%
O 1
 
7.7%
T 1
 
7.7%
Common
ValueCountFrequency (%)
( 154
49.5%
) 154
49.5%
1 2
 
0.6%
/ 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1574
82.8%
ASCII 324
 
17.0%
None 4
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 183
 
11.6%
건 73
 
4.6%
설 71
 
4.5%
이 57
 
3.6%
사 39
 
2.5%
업 35
 
2.2%
비 32
 
2.0%
지 32
 
2.0%
산 32
 
2.0%
스 32
 
2.0%
Other values (209) 988
62.8%
ASCII
ValueCountFrequency (%)
( 154
47.5%
) 154
47.5%
C 3
 
0.9%
A 2
 
0.6%
1 2
 
0.6%
S 2
 
0.6%
G 1
 
0.3%
E 1
 
0.3%
J 1
 
0.3%
K 1
 
0.3%
Other values (3) 3
 
0.9%
None
ValueCountFrequency (%)
㈜ 4
100.0%

업종
Text

Distinct100
Distinct (%)38.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-11T02:15:47.813882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length128
Median length80
Mean length35.3
Min length7

Characters and Unicode

Total characters9178
Distinct characters86
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)26.5%

Sample

1st row기계설비ㆍ가스공사업+기계설비공사업(대업종전환)
2nd row기계설비ㆍ가스공사업+기계설비공사업(대업종전환)
3rd row금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업+금속구조물ㆍ창호ㆍ온실공사업(대업종전환)
4th row기계설비ㆍ가스공사업+기계설비공사업(대업종전환)
5th row승강기ㆍ삭도공사업+승강기설치공사업(대업종전환)
ValueCountFrequency (%)
제2종(대업종전환 45
 
12.7%
기계설비ㆍ가스공사업+기계설비공사업(대업종전환 33
 
9.3%
가스ㆍ난방공사업+난방시공업 31
 
8.8%
가스ㆍ난방공사업+가스시설시공업 30
 
8.5%
제3종(대업종전환 13
 
3.7%
금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업+금속구조물ㆍ창호ㆍ온실공사업(대업종전환 11
 
3.1%
구조물해체ㆍ비계공사업+비계ㆍ구조물해체공사업(대업종전환 11
 
3.1%
시설물유지관리업 10
 
2.8%
제2종(대업종전환)+가스시설시공업 10
 
2.8%
실내건축공사업+실내건축공사업(대업종전환 9
 
2.5%
Other values (90) 151
42.7%
2023-12-11T02:15:48.549801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 995
 
10.8%
공 643
 
7.0%
사 542
 
5.9%
ㆍ 533
 
5.8%
+ 415
 
4.5%
종 408
 
4.4%
( 347
 
3.8%
) 347
 
3.8%
대 307
 
3.3%
전 307
 
3.3%
Other values (76) 4334
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7874
85.8%
Math Symbol 415
 
4.5%
Open Punctuation 347
 
3.8%
Close Punctuation 347
 
3.8%
Decimal Number 101
 
1.1%
Space Separator 94
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 995
 
12.6%
공 643
 
8.2%
사 542
 
6.9%
ㆍ 533
 
6.8%
종 408
 
5.2%
대 307
 
3.9%
전 307
 
3.9%
환 307
 
3.9%
설 235
 
3.0%
시 198
 
2.5%
Other values (69) 3399
43.2%
Decimal Number
ValueCountFrequency (%)
2 62
61.4%
3 25
24.8%
1 14
 
13.9%
Math Symbol
ValueCountFrequency (%)
+ 415
100.0%
Open Punctuation
ValueCountFrequency (%)
( 347
100.0%
Close Punctuation
ValueCountFrequency (%)
) 347
100.0%
Space Separator
ValueCountFrequency (%)
94
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7874
85.8%
Common 1304
 
14.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 995
 
12.6%
공 643
 
8.2%
사 542
 
6.9%
ㆍ 533
 
6.8%
종 408
 
5.2%
대 307
 
3.9%
전 307
 
3.9%
환 307
 
3.9%
설 235
 
3.0%
시 198
 
2.5%
Other values (69) 3399
43.2%
Common
ValueCountFrequency (%)
+ 415
31.8%
( 347
26.6%
) 347
26.6%
94
 
7.2%
2 62
 
4.8%
3 25
 
1.9%
1 14
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7341
80.0%
ASCII 1304
 
14.2%
Compat Jamo 533
 
5.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 995
 
13.6%
공 643
 
8.8%
사 542
 
7.4%
종 408
 
5.6%
대 307
 
4.2%
전 307
 
4.2%
환 307
 
4.2%
설 235
 
3.2%
시 198
 
2.7%
스 172
 
2.3%
Other values (68) 3227
44.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 533
100.0%
ASCII
ValueCountFrequency (%)
+ 415
31.8%
( 347
26.6%
) 347
26.6%
94
 
7.2%
2 62
 
4.8%
3 25
 
1.9%
1 14
 
1.1%

소재지
Text

Distinct254
Distinct (%)98.1%
Missing1
Missing (%)0.4%
Memory size2.2 KiB
2023-12-11T02:15:49.143757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length45
Mean length31.169884
Min length20

Characters and Unicode

Total characters8073
Distinct characters167
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

Unique249 ?
Unique (%)96.1%

Sample

1st row부산광역시 사상구 새벽시장로 106 (감전동)
2nd row부산광역시 사상구 주례로 101 상가1동 305호 (주례동)
3rd row부산광역시 사상구 새벽시장로 92-17 (감전동)
4th row부산광역시 사상구 사상로477번길 56 (모라동,서진건업)
5th row부산광역시 사상구 학감대로221번길 10 (감전동)
ValueCountFrequency (%)
사상구 259
 
16.6%
부산광역시 258
 
16.6%
감전동 58
 
3.7%
모라동 35
 
2.2%
주례동 35
 
2.2%
괘법동 31
 
2.0%
학장동 26
 
1.7%
2층 24
 
1.5%
엄궁동 21
 
1.3%
삼락동 20
 
1.3%
Other values (433) 789
50.7%
2023-12-11T02:15:50.168306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1297
 
16.1%
동 359
 
4.4%
상 330
 
4.1%
산 311
 
3.9%
사 294
 
3.6%
부 292
 
3.6%
1 285
 
3.5%
( 272
 
3.4%
) 272
 
3.4%
시 271
 
3.4%
Other values (157) 4090
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4751
58.9%
Decimal Number 1308
 
16.2%
Space Separator 1297
 
16.1%
Open Punctuation 272
 
3.4%
Close Punctuation 272
 
3.4%
Other Punctuation 125
 
1.5%
Dash Punctuation 37
 
0.5%
Uppercase Letter 11
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 359
 
7.6%
상 330
 
6.9%
산 311
 
6.5%
사 294
 
6.2%
부 292
 
6.1%
시 271
 
5.7%
광 269
 
5.7%
역 259
 
5.5%
구 259
 
5.5%
로 259
 
5.5%
Other values (134) 1848
38.9%
Decimal Number
ValueCountFrequency (%)
1 285
21.8%
2 206
15.7%
3 138
10.6%
0 134
10.2%
4 120
9.2%
7 100
 
7.6%
5 98
 
7.5%
6 93
 
7.1%
9 76
 
5.8%
8 58
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
S 3
27.3%
B 3
27.3%
C 2
18.2%
A 2
18.2%
G 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 101
80.8%
， 21
 
16.8%
. 2
 
1.6%
/ 1
 
0.8%
Space Separator
ValueCountFrequency (%)
1297
100.0%
Open Punctuation
ValueCountFrequency (%)
( 272
100.0%
Close Punctuation
ValueCountFrequency (%)
) 272
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4751
58.9%
Common 3311
41.0%
Latin 11
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 359
 
7.6%
상 330
 
6.9%
산 311
 
6.5%
사 294
 
6.2%
부 292
 
6.1%
시 271
 
5.7%
광 269
 
5.7%
역 259
 
5.5%
구 259
 
5.5%
로 259
 
5.5%
Other values (134) 1848
38.9%
Common
ValueCountFrequency (%)
1297
39.2%
1 285
 
8.6%
( 272
 
8.2%
) 272
 
8.2%
2 206
 
6.2%
3 138
 
4.2%
0 134
 
4.0%
4 120
 
3.6%
, 101
 
3.1%
7 100
 
3.0%
Other values (8) 386
 
11.7%
Latin
ValueCountFrequency (%)
S 3
27.3%
B 3
27.3%
C 2
18.2%
A 2
18.2%
G 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4751
58.9%
ASCII 3301
40.9%
None 21
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1297
39.3%
1 285
 
8.6%
( 272
 
8.2%
) 272
 
8.2%
2 206
 
6.2%
3 138
 
4.2%
0 134
 
4.1%
4 120
 
3.6%
, 101
 
3.1%
7 100
 
3.0%
Other values (12) 376
 
11.4%
Hangul
ValueCountFrequency (%)
동 359
 
7.6%
상 330
 
6.9%
산 311
 
6.5%
사 294
 
6.2%
부 292
 
6.1%
시 271
 
5.7%
광 269
 
5.7%
역 259
 
5.5%
구 259
 
5.5%
로 259
 
5.5%
Other values (134) 1848
38.9%
None
ValueCountFrequency (%)
， 21
100.0%

전화번호
Text

Distinct247
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-11T02:15:50.698963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.015385
Min length11

Characters and Unicode

Total characters3124
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

Unique246 ?
Unique (%)94.6%

Sample

1st row051-314-6837
2nd row000-1544-7326
3rd row051-633-4204
4th row051-304-5752
5th row051-328-1226
ValueCountFrequency (%)
000-000-0000 14
 
5.4%
051-304-5588 1
 
0.4%
051-311-3433 1
 
0.4%
051-304-8864 1
 
0.4%
051-327-6711 1
 
0.4%
051-302-3340 1
 
0.4%
051-312-9997 1
 
0.4%
051-324-2415 1
 
0.4%
051-324-9191 1
 
0.4%
051-305-5252 1
 
0.4%
Other values (237) 237
91.2%
2023-12-11T02:15:51.517785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 616
19.7%
- 520
16.6%
1 500
16.0%
5 355
11.4%
3 315
10.1%
2 191
 
6.1%
7 142
 
4.5%
4 141
 
4.5%
6 131
 
4.2%
8 128
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2604
83.4%
Dash Punctuation 520
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 616
23.7%
1 500
19.2%
5 355
13.6%
3 315
12.1%
2 191
 
7.3%
7 142
 
5.5%
4 141
 
5.4%
6 131
 
5.0%
8 128
 
4.9%
9 85
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 520
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3124
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 616
19.7%
- 520
16.6%
1 500
16.0%
5 355
11.4%
3 315
10.1%
2 191
 
6.1%
7 142
 
4.5%
4 141
 
4.5%
6 131
 
4.2%
8 128
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3124
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 616
19.7%
- 520
16.6%
1 500
16.0%
5 355
11.4%
3 315
10.1%
2 191
 
6.1%
7 142
 
4.5%
4 141
 
4.5%
6 131
 
4.2%
8 128
 
4.1%

위도
Real number (ℝ)

Distinct205
Distinct (%)78.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.159162
Minimum35.120253
Maximum35.194992
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-11T02:15:51.834116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.120253
5-th percentile35.132666
Q135.146265
median35.154034
Q335.173764
95-th percentile35.190902
Maximum35.194992
Range0.07473933
Interquartile range (IQR)0.02749897

Descriptive statistics

Standard deviation0.018390167
Coefficient of variation (CV)0.00052305475
Kurtosis-0.72558081
Mean35.159162
Median Absolute Deviation (MAD)0.010507165
Skewness0.34553563
Sum9141.3821
Variance0.00033819823
MonotonicityNot monotonic
2023-12-11T02:15:52.102253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.19090221 9
 
3.5%
35.15328125 9
 
3.5%
35.15975775 9
 
3.5%
35.14137668 8
 
3.1%
35.1461777 6
 
2.3%
35.13287272 6
 
2.3%
35.15465447 3
 
1.2%
35.18673522 2
 
0.8%
35.14980561 2
 
0.8%
35.14999202 2
 
0.8%
Other values (195) 204
78.5%
ValueCountFrequency (%)
35.12025251 1
0.4%
35.12241371 1
0.4%
35.12258007 1
0.4%
35.12279455 1
0.4%
35.12403724 1
0.4%
35.12452232 1
0.4%
35.12549274 1
0.4%
35.12739889 1
0.4%
35.12873072 1
0.4%
35.12970898 2
0.8%
ValueCountFrequency (%)
35.19499184 1
0.4%
35.19400159 1
0.4%
35.19381943 1
0.4%
35.19370847 1
0.4%
35.19295655 1
0.4%
35.19274726 1
0.4%
35.19267984 1
0.4%
35.19247778 1
0.4%
35.19184648 1
0.4%
35.19179755 1
0.4%

경도
Real number (ℝ)

Distinct205
Distinct (%)78.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.98522
Minimum128.96205
Maximum129.0132
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-11T02:15:52.420894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.96205
5-th percentile128.97049
Q1128.97939
median128.98473
Q3128.98932
95-th percentile129.00545
Maximum129.0132
Range0.0511465
Interquartile range (IQR)0.009928975

Descriptive statistics

Standard deviation0.01052787
Coefficient of variation (CV)8.1620747 × 10-5
Kurtosis0.34420225
Mean128.98522
Median Absolute Deviation (MAD)0.00496965
Skewness0.52289766
Sum33536.157
Variance0.00011083604
MonotonicityNot monotonic
2023-12-11T02:15:52.740313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.9847254 9
 
3.5%
128.9809787 9
 
3.5%
128.9804309 9
 
3.5%
128.9705532 8
 
3.1%
129.0052015 6
 
2.3%
128.9653828 6
 
2.3%
128.9861427 3
 
1.2%
128.9850374 2
 
0.8%
129.0035999 2
 
0.8%
129.007202 2
 
0.8%
Other values (195) 204
78.5%
ValueCountFrequency (%)
128.9620521 1
 
0.4%
128.9640763 1
 
0.4%
128.9643092 1
 
0.4%
128.9653828 6
2.3%
128.9655965 1
 
0.4%
128.9673014 1
 
0.4%
128.96919 1
 
0.4%
128.9692672 1
 
0.4%
128.9705532 8
3.1%
128.9706357 1
 
0.4%
ValueCountFrequency (%)
129.0131986 1
0.4%
129.0129624 2
0.8%
129.0126996 1
0.4%
129.0113546 1
0.4%
129.0105937 2
0.8%
129.0103055 1
0.4%
129.0097675 1
0.4%
129.007202 2
0.8%
129.0058535 1
0.4%
129.0054576 1
0.4%

데이터기준
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2023-06-14 00:00:00
Maximum2023-06-14 00:00:00
2023-12-11T02:15:52.987895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:15:53.181853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T02:15:45.794765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:15:45.294754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:15:45.983260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:15:45.484660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:15:53.341297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종위도경도
업종1.0000.5890.568
위도0.5891.0000.813
경도0.5680.8131.000
2023-12-11T02:15:53.585469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.188
경도0.1881.000

Missing values

2023-12-11T02:15:46.193355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:15:46.415071image/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

상호업종소재지전화번호위도경도데이터기준
0(주)가야기술기계설비ㆍ가스공사업+기계설비공사업(대업종전환)부산광역시 사상구 새벽시장로 106 (감전동)051-314-683735.154176128.985162023-06-14
1(주)가온이엔씨기계설비ㆍ가스공사업+기계설비공사업(대업종전환)부산광역시 사상구 주례로 101 상가1동 305호 (주례동)000-1544-732635.146178129.0052012023-06-14
2(주)경성창호금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업+금속구조물ㆍ창호ㆍ온실공사업(대업종전환)부산광역시 사상구 새벽시장로 92-17 (감전동)051-633-420435.153772128.9838492023-06-14
3(주)경창엔지니어링기계설비ㆍ가스공사업+기계설비공사업(대업종전환)부산광역시 사상구 사상로477번길 56 (모라동,서진건업)051-304-575235.187912128.9844152023-06-14
4(주)구룡산전승강기ㆍ삭도공사업+승강기설치공사업(대업종전환)부산광역시 사상구 학감대로221번길 10 (감전동)051-328-122635.151402128.9893192023-06-14
5(주)국보엔지니어링구조물해체ㆍ비계공사업+비계ㆍ구조물해체공사업(대업종전환)부산광역시 사상구 새벽로215번길 42 2층 (주화빌딩) (괘법동)051-442-343035.160801128.9818052023-06-14
6(주)국일에스에프건설도장ㆍ습식ㆍ방수ㆍ석공사업+시설물유지관리업+미장ㆍ방수공사업(자진반납)+습식ㆍ방수공사업(대업종전환)부산광역시 사상구 주례로 101 1동 301호 (주례동，현대무지개상가)051-758-323035.145995129.0054522023-06-14
7(주)국제판넬금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업+지붕판금ㆍ건축물조립공사업(대업종전환)부산광역시 사상구 새벽시장로56번길 40 (감전동)051-317-614335.153441128.9791042023-06-14
8(주)그린조경조경식재ㆍ시설물공사업+조경식재공사업(대업종전환)부산광역시 사상구 주례로 93 , 상가1동 216호(주례동, 현대무지개타운)051-316-907035.144963129.0049892023-06-14
9(주)금보엘리베이터승강기ㆍ삭도공사업+승강기설치공사업(대업종전환)부산광역시 사상구 학장로248번길 77 (학장동)051-322-849635.142947128.9936942023-06-14
상호업종소재지전화번호위도경도데이터기준
250평화건설주식회사지반조성ㆍ포장공사업+철근ㆍ콘크리트공사업+도장공사업(자진반납)+철물공사업(등록말소)+철근ㆍ콘크리트공사업(대업종전환)+토공사업(대업종전환)+포장공사업(대업종전환)부산광역시 사상구 낙동대로 671 (엄궁동)051-462-145035.122795128.9643092023-06-14
251풍창건업(주)도장ㆍ습식ㆍ방수ㆍ석공사업+습식ㆍ방수공사업(대업종전환)부산광역시 사상구 주례로 28, 2층 (주례동, 금진빌딩)051-317-398135.148551129.0113552023-06-14
252한국가스가스ㆍ난방공사업+가스시설시공업 제2종(대업종전환)부산광역시 사상구 가야대로 157 (감전동)051-326-515235.150224128.9900512023-06-14
253한국이미지시스템(주)기계설비ㆍ가스공사업부산광역시 사상구 낙동대로1412번길 16 (삼락동)051-305-763135.185889128.9782312023-06-14
254현대설비가스ㆍ난방공사업+난방시공업 제2종(대업종전환)부산광역시 사상구 사상로224번길 61 (괘법동)051-324-049435.166128128.9863472023-06-14
255현대설비러브하우스가스ㆍ난방공사업+가스시설시공업 제3종(폐업)+난방시공업 제2종(대업종전환)+가스시설시공업 제2종(대업종전환)부산광역시 사상구 백양대로 455 (주례동)051-322-483835.15247129.0019322023-06-14
256현승건설(주)철근ㆍ콘크리트공사업+지반조성ㆍ포장공사업+토공사업(대업종전환)+철근ㆍ콘크리트공사업(대업종전환)부산광역시 사상구 주례로 101 상가1동 209-1호, 현대무지개상가 (주례동)051-311-224035.146178129.0052012023-06-14
257협동보일러가스ㆍ난방공사업+가스시설시공업 제3종(대업종전환)+난방시공업 제2종(대업종전환)부산광역시 사상구 사상로 134-1 (감전동)051-317-524535.158294128.9886452023-06-14
258홍성건업(주)금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업+금속구조물ㆍ창호ㆍ온실공사업(대업종전환)부산광역시 사상구 가야대로230번길 3 (주례동)051-806-378935.149628128.9977922023-06-14
259홍익건축사사무소(유)실내건축공사업+실내건축공사업(대업종전환)부산광역시 사상구 모라로 22, 611호 (모라동, 부산벤처타워)051-241-601735.190902128.9847252023-06-14