Overview

Dataset statistics

Number of variables7
Number of observations266
Missing cells22
Missing cells (%)1.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.2 KiB
Average record size in memory58.5 B

Variable types

Text4
Numeric2
Categorical1

Dataset

Description부산광역시 사상구 관내 전문건설업체 현황 데이터임 (업체의 상호, 업종, 소재지, 전화번호, 위도, 경도, 데이터기준일)정렬기준은 상호의 가나다순으로 작성되었음.
Author부산광역시 사상구
URLhttps://www.data.go.kr/data/3081474/fileData.do

Alerts

데이터기준 has constant value ""Constant
전화번호 has 19 (7.1%) missing valuesMissing

Reproduction

Analysis started2023-12-16 15:27:58.980309
Analysis finished2023-12-16 15:28:05.571601
Duration6.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

Distinct265
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-16T15:28:06.112459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length7.3082707
Min length3

Characters and Unicode

Total characters1944
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

Unique264 ?
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%
성일설비 1
 
0.4%
원이엔지 1
 
0.4%
세화판넬(주 1
 
0.4%
아시아냉열 1
 
0.4%
실크로드산업(주 1
 
0.4%
신흥철물 1
 
0.4%
승학건축설비 1
 
0.4%
송현건설중기주식회사 1
 
0.4%
세이프퀴슬부산서비스 1
 
0.4%
Other values (255) 255
95.9%
2023-12-16T15:28:08.092867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 185
 
9.5%
( 152
 
7.8%
) 152
 
7.8%
건 74
 
3.8%
설 72
 
3.7%
이 61
 
3.1%
사 42
 
2.2%
업 36
 
1.9%
스 34
 
1.7%
성 33
 
1.7%
Other values (223) 1103
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1618
83.2%
Open Punctuation 152
 
7.8%
Close Punctuation 152
 
7.8%
Uppercase Letter 13
 
0.7%
Other Symbol 6
 
0.3%
Decimal Number 2
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 185
 
11.4%
건 74
 
4.6%
설 72
 
4.4%
이 61
 
3.8%
사 42
 
2.6%
업 36
 
2.2%
스 34
 
2.1%
성 33
 
2.0%
지 33
 
2.0%
비 32
 
2.0%
Other values (209) 1016
62.8%
Uppercase Letter
ValueCountFrequency (%)
C 3
23.1%
A 2
15.4%
S 2
15.4%
G 1
 
7.7%
T 1
 
7.7%
O 1
 
7.7%
E 1
 
7.7%
J 1
 
7.7%
K 1
 
7.7%
Open Punctuation
ValueCountFrequency (%)
( 152
100.0%
Close Punctuation
ValueCountFrequency (%)
) 152
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1624
83.5%
Common 307
 
15.8%
Latin 13
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 185
 
11.4%
건 74
 
4.6%
설 72
 
4.4%
이 61
 
3.8%
사 42
 
2.6%
업 36
 
2.2%
스 34
 
2.1%
성 33
 
2.0%
지 33
 
2.0%
비 32
 
2.0%
Other values (210) 1022
62.9%
Latin
ValueCountFrequency (%)
C 3
23.1%
A 2
15.4%
S 2
15.4%
G 1
 
7.7%
T 1
 
7.7%
O 1
 
7.7%
E 1
 
7.7%
J 1
 
7.7%
K 1
 
7.7%
Common
ValueCountFrequency (%)
( 152
49.5%
) 152
49.5%
1 2
 
0.7%
/ 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1618
83.2%
ASCII 320
 
16.5%
None 6
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 185
 
11.4%
건 74
 
4.6%
설 72
 
4.4%
이 61
 
3.8%
사 42
 
2.6%
업 36
 
2.2%
스 34
 
2.1%
성 33
 
2.0%
지 33
 
2.0%
비 32
 
2.0%
Other values (209) 1016
62.8%
ASCII
ValueCountFrequency (%)
( 152
47.5%
) 152
47.5%
C 3
 
0.9%
A 2
 
0.6%
S 2
 
0.6%
1 2
 
0.6%
G 1
 
0.3%
/ 1
 
0.3%
T 1
 
0.3%
O 1
 
0.3%
Other values (3) 3
 
0.9%
None
ValueCountFrequency (%)
㈜ 6
100.0%

업종
Text

Distinct103
Distinct (%)38.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-16T15:28:09.362369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length136
Median length88
Mean length35.789474
Min length7

Characters and Unicode

Total characters9520
Distinct characters82
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

Unique73 ?
Unique (%)27.4%

Sample

1st row기계설비ㆍ가스공사업 기계설비공사업(대업종전환)
2nd row기계설비ㆍ가스공사업 기계설비공사업(대업종전환)
3rd row금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업 금속구조물ㆍ창호ㆍ온실공사업(대업종전환)
4th row기계설비ㆍ가스공사업 기계설비공사업(대업종전환)
5th row승강기ㆍ삭도공사업 승강기설치공사업(대업종전환)
ValueCountFrequency (%)
가스ㆍ난방공사업 67
 
8.8%
제2종(대업종전환 55
 
7.2%
기계설비ㆍ가스공사업 54
 
7.1%
가스시설시공업 51
 
6.7%
금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업 46
 
6.0%
기계설비공사업(대업종전환 44
 
5.8%
난방시공업 43
 
5.7%
금속구조물ㆍ창호ㆍ온실공사업(대업종전환 30
 
3.9%
실내건축공사업 28
 
3.7%
도장ㆍ습식ㆍ방수ㆍ석공사업 25
 
3.3%
Other values (51) 318
41.8%
2023-12-16T15:28:11.007509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 984
 
10.3%
공 642
 
6.7%
ㆍ 548
 
5.8%
사 548
 
5.8%
495
 
5.2%
401
 
4.2%
종 391
 
4.1%
( 337
 
3.5%
) 337
 
3.5%
대 297
 
3.1%
Other values (72) 4540
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7856
82.5%
Space Separator 495
 
5.2%
Control 401
 
4.2%
Open Punctuation 337
 
3.5%
Close Punctuation 337
 
3.5%
Decimal Number 94
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 984
 
12.5%
공 642
 
8.2%
ㆍ 548
 
7.0%
사 548
 
7.0%
종 391
 
5.0%
대 297
 
3.8%
전 297
 
3.8%
환 297
 
3.8%
설 235
 
3.0%
시 188
 
2.4%
Other values (65) 3429
43.6%
Decimal Number
ValueCountFrequency (%)
2 58
61.7%
3 23
 
24.5%
1 13
 
13.8%
Space Separator
ValueCountFrequency (%)
495
100.0%
Control
ValueCountFrequency (%)
401
100.0%
Open Punctuation
ValueCountFrequency (%)
( 337
100.0%
Close Punctuation
ValueCountFrequency (%)
) 337
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7856
82.5%
Common 1664
 
17.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 984
 
12.5%
공 642
 
8.2%
ㆍ 548
 
7.0%
사 548
 
7.0%
종 391
 
5.0%
대 297
 
3.8%
전 297
 
3.8%
환 297
 
3.8%
설 235
 
3.0%
시 188
 
2.4%
Other values (65) 3429
43.6%
Common
ValueCountFrequency (%)
495
29.7%
401
24.1%
( 337
20.3%
) 337
20.3%
2 58
 
3.5%
3 23
 
1.4%
1 13
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7308
76.8%
ASCII 1664
 
17.5%
Compat Jamo 548
 
5.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 984
 
13.5%
공 642
 
8.8%
사 548
 
7.5%
종 391
 
5.4%
대 297
 
4.1%
전 297
 
4.1%
환 297
 
4.1%
설 235
 
3.2%
시 188
 
2.6%
스 172
 
2.4%
Other values (64) 3257
44.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 548
100.0%
ASCII
ValueCountFrequency (%)
495
29.7%
401
24.1%
( 337
20.3%
) 337
20.3%
2 58
 
3.5%
3 23
 
1.4%
1 13
 
0.8%

소재지
Text

Distinct260
Distinct (%)98.1%
Missing1
Missing (%)0.4%
Memory size2.2 KiB
2023-12-16T15:28:12.020797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length44
Mean length31.037736
Min length20

Characters and Unicode

Total characters8225
Distinct characters165
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

Unique255 ?
Unique (%)96.2%

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 265
 
16.8%
부산광역시 264
 
16.7%
감전동 59
 
3.7%
모라동 38
 
2.4%
주례동 35
 
2.2%
괘법동 29
 
1.8%
학장동 28
 
1.8%
엄궁동 23
 
1.5%
2층 22
 
1.4%
삼락동 21
 
1.3%
Other values (443) 797
50.4%
2023-12-16T15:28:14.120626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1316
 
16.0%
동 367
 
4.5%
상 338
 
4.1%
산 313
 
3.8%
사 303
 
3.7%
부 298
 
3.6%
1 287
 
3.5%
) 281
 
3.4%
( 281
 
3.4%
시 277
 
3.4%
Other values (155) 4164
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4835
58.8%
Decimal Number 1345
 
16.4%
Space Separator 1316
 
16.0%
Close Punctuation 281
 
3.4%
Open Punctuation 281
 
3.4%
Other Punctuation 114
 
1.4%
Dash Punctuation 43
 
0.5%
Uppercase Letter 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 367
 
7.6%
상 338
 
7.0%
산 313
 
6.5%
사 303
 
6.3%
부 298
 
6.2%
시 277
 
5.7%
광 274
 
5.7%
로 266
 
5.5%
구 265
 
5.5%
역 265
 
5.5%
Other values (133) 1869
38.7%
Decimal Number
ValueCountFrequency (%)
1 287
21.3%
2 218
16.2%
3 141
10.5%
0 138
10.3%
4 128
9.5%
7 101
 
7.5%
5 97
 
7.2%
6 92
 
6.8%
9 81
 
6.0%
8 62
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 91
79.8%
， 20
 
17.5%
. 2
 
1.8%
/ 1
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
B 3
30.0%
S 3
30.0%
A 2
20.0%
C 2
20.0%
Space Separator
ValueCountFrequency (%)
1316
100.0%
Close Punctuation
ValueCountFrequency (%)
) 281
100.0%
Open Punctuation
ValueCountFrequency (%)
( 281
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4835
58.8%
Common 3380
41.1%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 367
 
7.6%
상 338
 
7.0%
산 313
 
6.5%
사 303
 
6.3%
부 298
 
6.2%
시 277
 
5.7%
광 274
 
5.7%
로 266
 
5.5%
구 265
 
5.5%
역 265
 
5.5%
Other values (133) 1869
38.7%
Common
ValueCountFrequency (%)
1316
38.9%
1 287
 
8.5%
) 281
 
8.3%
( 281
 
8.3%
2 218
 
6.4%
3 141
 
4.2%
0 138
 
4.1%
4 128
 
3.8%
7 101
 
3.0%
5 97
 
2.9%
Other values (8) 392
 
11.6%
Latin
ValueCountFrequency (%)
B 3
30.0%
S 3
30.0%
A 2
20.0%
C 2
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4835
58.8%
ASCII 3370
41.0%
None 20
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1316
39.1%
1 287
 
8.5%
) 281
 
8.3%
( 281
 
8.3%
2 218
 
6.5%
3 141
 
4.2%
0 138
 
4.1%
4 128
 
3.8%
7 101
 
3.0%
5 97
 
2.9%
Other values (11) 382
 
11.3%
Hangul
ValueCountFrequency (%)
동 367
 
7.6%
상 338
 
7.0%
산 313
 
6.5%
사 303
 
6.3%
부 298
 
6.2%
시 277
 
5.7%
광 274
 
5.7%
로 266
 
5.5%
구 265
 
5.5%
역 265
 
5.5%
Other values (133) 1869
38.7%
None
ValueCountFrequency (%)
， 20
100.0%

전화번호
Text

MISSING 

Distinct247
Distinct (%)100.0%
Missing19
Missing (%)7.1%
Memory size2.2 KiB
2023-12-16T15:28:15.253192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.008097
Min length12

Characters and Unicode

Total characters2966
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

Unique247 ?
Unique (%)100.0%

Sample

1st row051-314-6837
2nd row051-633-4204
3rd row051-304-5752
4th row051-328-1226
5th row051-442-3430
ValueCountFrequency (%)
051-316-1113 1
 
0.4%
051-311-8819 1
 
0.4%
051-334-0678 1
 
0.4%
051-324-9191 1
 
0.4%
051-305-5252 1
 
0.4%
051-759-1278 1
 
0.4%
031-664-3381 1
 
0.4%
051-961-1600 1
 
0.4%
051-317-5516 1
 
0.4%
051-311-3433 1
 
0.4%
Other values (237) 237
96.0%
2023-12-16T15:28:16.824533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 503
17.0%
- 494
16.7%
0 463
15.6%
5 356
12.0%
3 313
10.6%
2 197
 
6.6%
7 147
 
5.0%
4 143
 
4.8%
6 135
 
4.6%
8 132
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2472
83.3%
Dash Punctuation 494
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 503
20.3%
0 463
18.7%
5 356
14.4%
3 313
12.7%
2 197
 
8.0%
7 147
 
5.9%
4 143
 
5.8%
6 135
 
5.5%
8 132
 
5.3%
9 83
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 494
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2966
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 503
17.0%
- 494
16.7%
0 463
15.6%
5 356
12.0%
3 313
10.6%
2 197
 
6.6%
7 147
 
5.0%
4 143
 
4.8%
6 135
 
4.6%
8 132
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2966
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 503
17.0%
- 494
16.7%
0 463
15.6%
5 356
12.0%
3 313
10.6%
2 197
 
6.6%
7 147
 
5.0%
4 143
 
4.8%
6 135
 
4.6%
8 132
 
4.5%

위도
Real number (ℝ)

Distinct210
Distinct (%)79.2%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean35.159107
Minimum35.120253
Maximum35.194992
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-16T15:28:17.380577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.120253
5-th percentile35.132263
Q135.146178
median35.153954
Q335.173769
95-th percentile35.190902
Maximum35.194992
Range0.07473933
Interquartile range (IQR)0.02759092

Descriptive statistics

Standard deviation0.018694831
Coefficient of variation (CV)0.00053172088
Kurtosis-0.76610584
Mean35.159107
Median Absolute Deviation (MAD)0.01016016
Skewness0.37131488
Sum9317.1633
Variance0.00034949671
MonotonicityNot monotonic
2023-12-16T15:28:18.065151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.19090221 10
 
3.8%
35.15975775 9
 
3.4%
35.15328125 8
 
3.0%
35.14137668 8
 
3.0%
35.1461777 6
 
2.3%
35.13287272 6
 
2.3%
35.14723527 2
 
0.8%
35.14629475 2
 
0.8%
35.15164757 2
 
0.8%
35.15117024 2
 
0.8%
Other values (200) 210
78.9%
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%
35.19414843 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%

경도
Real number (ℝ)

Distinct210
Distinct (%)79.2%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean128.98526
Minimum128.96205
Maximum129.01613
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-16T15:28:18.860929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.96205
5-th percentile128.96952
Q1128.97926
median128.98473
Q3128.98952
95-th percentile129.0054
Maximum129.01613
Range0.0540785
Interquartile range (IQR)0.0102613

Descriptive statistics

Standard deviation0.010610745
Coefficient of variation (CV)8.2263236 × 10-5
Kurtosis0.35236991
Mean128.98526
Median Absolute Deviation (MAD)0.0051061
Skewness0.50792744
Sum34181.094
Variance0.00011258791
MonotonicityNot monotonic
2023-12-16T15:28:19.737327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.9847254 10
 
3.8%
128.9804309 9
 
3.4%
128.9809787 8
 
3.0%
128.9705532 8
 
3.0%
129.0052015 6
 
2.3%
128.9653828 6
 
2.3%
128.9884345 2
 
0.8%
129.000868 2
 
0.8%
129.0129624 2
 
0.8%
128.9856286 2
 
0.8%
Other values (200) 210
78.9%
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 2
 
0.8%
128.96919 1
 
0.4%
128.9692672 1
 
0.4%
128.9705532 8
3.0%
128.9706357 1
 
0.4%
ValueCountFrequency (%)
129.0161306 1
0.4%
129.0131986 1
0.4%
129.0129624 2
0.8%
129.0126996 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
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-13
266 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-13
2nd row2023-12-13
3rd row2023-12-13
4th row2023-12-13
5th row2023-12-13

Common Values

ValueCountFrequency (%)
2023-12-13 266
100.0%

Length

2023-12-16T15:28:20.438730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:28:21.021461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-13 266
100.0%

Interactions

2023-12-16T15:28:02.773050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:28:00.425368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:28:03.497458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:28:02.023103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-16T15:28:21.425312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.812
경도0.8121.000
2023-12-16T15:28:22.279723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.200
경도0.2001.000

Missing values

2023-12-16T15:28:04.302748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-16T15:28:04.751628image/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.
2023-12-16T15:28:05.274116image/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

상호업종소재지전화번호위도경도데이터기준
0(주)가야기술기계설비ㆍ가스공사업 기계설비공사업(대업종전환)부산광역시 사상구 새벽시장로 106 (감전동)051-314-683735.154176128.985162023-12-13
1(주)가온이엔씨기계설비ㆍ가스공사업 기계설비공사업(대업종전환)부산광역시 사상구 주례로 101 상가1동 305호 (주례동)<NA>35.146178129.0052012023-12-13
2(주)경성창호금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업 금속구조물ㆍ창호ㆍ온실공사업(대업종전환)부산광역시 사상구 새벽시장로 92-17 (감전동)051-633-420435.153772128.9838492023-12-13
3(주)경창엔지니어링기계설비ㆍ가스공사업 기계설비공사업(대업종전환)부산광역시 사상구 사상로477번길 56 (모라동,서진건업)051-304-575235.187912128.9844152023-12-13
4(주)구룡산전승강기ㆍ삭도공사업 승강기설치공사업(대업종전환)부산광역시 사상구 학감대로221번길 10 (감전동)051-328-122635.151402128.9893192023-12-13
5(주)국보엔지니어링구조물해체ㆍ비계공사업 비계ㆍ구조물해체공사업(대업종전환)부산광역시 사상구 새벽로215번길 42 2층 (주화빌딩) (괘법동)051-442-343035.160801128.9818052023-12-13
6(주)국일에스에프건설도장ㆍ습식ㆍ방수ㆍ석공사업 시설물유지관리업 미장ㆍ방수공사업(자진반납) 습식ㆍ방수공사업(대업종전환)부산광역시 사상구 주례로 101 1동 301호 (주례동，현대무지개상가)051-758-323035.145995129.0054522023-12-13
7(주)국제판넬금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업 지붕판금ㆍ건축물조립공사업(대업종전환)부산광역시 사상구 새벽시장로56번길 40 (감전동)051-317-614335.153441128.9791042023-12-13
8(주)그린조경조경식재ㆍ시설물공사업 조경식재공사업(대업종전환)부산광역시 사상구 주례로 93 , 상가1동 216호(주례동, 현대무지개타운)051-316-907035.144963129.0049892023-12-13
9(주)금보엘리베이터승강기ㆍ삭도공사업 승강기설치공사업(대업종전환)부산광역시 사상구 학장로248번길 77 (학장동)051-322-849635.142947128.9936942023-12-13
상호업종소재지전화번호위도경도데이터기준
256한국이미지시스템(주)기계설비ㆍ가스공사업부산광역시 사상구 낙동대로1412번길 16 (삼락동)051-305-763135.185889128.9782312023-12-13
257현대설비가스ㆍ난방공사업 난방시공업 제2종(대업종전환)부산광역시 사상구 사상로224번길 61 (괘법동)051-324-049435.166128128.9863472023-12-13
258현대설비러브하우스가스ㆍ난방공사업 가스시설시공업 제3종(폐업) 난방시공업 제2종(대업종전환) 가스시설시공업 제2종(대업종전환)부산광역시 사상구 백양대로 455 (주례동)051-322-483835.15247129.0019322023-12-13
259현승건설(주)철근ㆍ콘크리트공사업 지반조성ㆍ포장공사업 토공사업(대업종전환) 철근ㆍ콘크리트공사업(대업종전환)부산광역시 사상구 주례로 101 상가1동 209-1호, 현대무지개상가 (주례동)051-311-224035.146178129.0052012023-12-13
260현진엘리베이터(주)승강기ㆍ삭도공사업부산광역시 사상구 대동로 267 3층 301-2호(감전동, 인수빌딩) (감전동)051-808-164235.15117128.9856292023-12-13
261협동보일러가스ㆍ난방공사업 가스시설시공업 제3종(대업종전환) 난방시공업 제2종(대업종전환)부산광역시 사상구 사상로 134-1 (감전동)051-317-524535.158294128.9886452023-12-13
262홍성건업(주)금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업 금속구조물ㆍ창호ㆍ온실공사업(대업종전환)부산광역시 사상구 가야대로230번길 3 (주례동)051-806-378935.149628128.9977922023-12-13
263홍익디자인유한회사실내건축공사업부산광역시 사상구 모라로 22 611호(부산벤처타워) (모라동)051-241-601735.190902128.9847252023-12-13
264화신기업주식회사금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업부산광역시 사상구 학감대로178번길 40 (학장동)051-324-970035.146312128.9910792023-12-13
265(주)수진건설철근ㆍ콘크리트공사업(영업정지) 철근ㆍ콘크리트공사업(대업종전환)부산광역시 사상구 괘감로 54 , 302호 (감전동)051-311-712335.158181128.980392023-12-13