Overview

Dataset statistics

Number of variables8
Number of observations324
Missing cells3
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.0 KiB
Average record size in memory66.4 B

Variable types

Categorical2
Text4
Numeric2

Dataset

Description부산광역시_동래구_전문건설업등록현황_20220927
Author부산광역시 동래구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3040178

Alerts

구군명 has constant value ""Constant
데이터기준 has constant value ""Constant
상호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:16:33.556735
Analysis finished2023-12-10 16:16:34.782250
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구군명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
부산광역시 동래구
324 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산광역시 동래구
2nd row부산광역시 동래구
3rd row부산광역시 동래구
4th row부산광역시 동래구
5th row부산광역시 동래구

Common Values

ValueCountFrequency (%)
부산광역시 동래구 324
100.0%

Length

2023-12-11T01:16:34.872827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:16:34.998468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 324
50.0%
동래구 324
50.0%

상호
Text

UNIQUE 

Distinct324
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-11T01:16:35.278571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length7.5864198
Min length4

Characters and Unicode

Total characters2458
Distinct characters225
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique324 ?
Unique (%)100.0%

Sample

1st row(주)가원이앤씨
2nd row(주)거성토건이엔씨
3rd row(주)거웅이엔지
4th row(주)건안건설
5th row(주)건양산업개발
ValueCountFrequency (%)
주)가원이앤씨 1
 
0.3%
동래eng 1
 
0.3%
부산광역시산림조합 1
 
0.3%
부경보일러 1
 
0.3%
부강개발주식회사 1
 
0.3%
보강엘리베이터(주 1
 
0.3%
백향목주식회사 1
 
0.3%
목도창조(주 1
 
0.3%
명국에너지서비스 1
 
0.3%
부산기연(유 1
 
0.3%
Other values (314) 314
96.9%
2023-12-11T01:16:35.843844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 261
 
10.6%
( 233
 
9.5%
) 233
 
9.5%
건 108
 
4.4%
설 107
 
4.4%
이 68
 
2.8%
지 43
 
1.7%
엔 41
 
1.7%
사 40
 
1.6%
스 39
 
1.6%
Other values (215) 1285
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1970
80.1%
Open Punctuation 233
 
9.5%
Close Punctuation 233
 
9.5%
Uppercase Letter 17
 
0.7%
Other Punctuation 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 261
 
13.2%
건 108
 
5.5%
설 107
 
5.4%
이 68
 
3.5%
지 43
 
2.2%
엔 41
 
2.1%
사 40
 
2.0%
스 39
 
2.0%
비 37
 
1.9%
성 37
 
1.9%
Other values (202) 1189
60.4%
Uppercase Letter
ValueCountFrequency (%)
G 4
23.5%
N 3
17.6%
E 2
11.8%
S 2
11.8%
D 2
11.8%
L 1
 
5.9%
C 1
 
5.9%
K 1
 
5.9%
J 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 4
80.0%
& 1
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 233
100.0%
Close Punctuation
ValueCountFrequency (%)
) 233
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1970
80.1%
Common 471
 
19.2%
Latin 17
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 261
 
13.2%
건 108
 
5.5%
설 107
 
5.4%
이 68
 
3.5%
지 43
 
2.2%
엔 41
 
2.1%
사 40
 
2.0%
스 39
 
2.0%
비 37
 
1.9%
성 37
 
1.9%
Other values (202) 1189
60.4%
Latin
ValueCountFrequency (%)
G 4
23.5%
N 3
17.6%
E 2
11.8%
S 2
11.8%
D 2
11.8%
L 1
 
5.9%
C 1
 
5.9%
K 1
 
5.9%
J 1
 
5.9%
Common
ValueCountFrequency (%)
( 233
49.5%
) 233
49.5%
. 4
 
0.8%
& 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1970
80.1%
ASCII 488
 
19.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 261
 
13.2%
건 108
 
5.5%
설 107
 
5.4%
이 68
 
3.5%
지 43
 
2.2%
엔 41
 
2.1%
사 40
 
2.0%
스 39
 
2.0%
비 37
 
1.9%
성 37
 
1.9%
Other values (202) 1189
60.4%
ASCII
ValueCountFrequency (%)
( 233
47.7%
) 233
47.7%
. 4
 
0.8%
G 4
 
0.8%
N 3
 
0.6%
E 2
 
0.4%
S 2
 
0.4%
D 2
 
0.4%
L 1
 
0.2%
& 1
 
0.2%
Other values (3) 3
 
0.6%

업종
Text

Distinct138
Distinct (%)42.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-11T01:16:36.152901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length116
Median length98
Mean length34.888889
Min length8

Characters and Unicode

Total characters11304
Distinct characters84
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)30.9%

Sample

1st row기계설비공사업(대업종전환) 기계가스설비공사업
2nd row상ㆍ하수도설비공사업 비계ㆍ구조물해체공사업(대업종전환) 상ㆍ하수도설비공사업(대업종전환) 구조물해체ㆍ비계공사업 토공사업(대업종전환) 지반조성ㆍ포장공사업 철근ㆍ콘크리트공사업 철근ㆍ콘크리트공사업(대업종전환)
3rd row기계설비공사업(대업종전환) 기계가스설비공사업
4th row철근ㆍ콘크리트공사업(대업종전환) 철근ㆍ콘크리트공사업
5th row지붕판금ㆍ건축물조립공사업(대업종전환) 금속창호ㆍ지붕건축물조립공사업
ValueCountFrequency (%)
가스난방공사업 67
 
7.0%
가스시설시공업 62
 
6.5%
제2종(대업종전환 56
 
5.9%
난방시공업 47
 
4.9%
시설물유지관리업 45
 
4.7%
실내건축공사업(대업종전환 44
 
4.6%
실내건축공사업 44
 
4.6%
기계가스설비공사업 41
 
4.3%
도장ㆍ습식방수ㆍ석공사업 35
 
3.7%
기계설비공사업(대업종전환 34
 
3.6%
Other values (48) 481
50.3%
2023-12-11T01:16:36.622712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 1268
 
11.2%
공 800
 
7.1%
사 691
 
6.1%
632
 
5.6%
종 498
 
4.4%
( 450
 
4.0%
) 450
 
4.0%
ㆍ 425
 
3.8%
환 389
 
3.4%
대 389
 
3.4%
Other values (74) 5312
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9663
85.5%
Space Separator 632
 
5.6%
Open Punctuation 450
 
4.0%
Close Punctuation 450
 
4.0%
Decimal Number 109
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 1268
 
13.1%
공 800
 
8.3%
사 691
 
7.2%
종 498
 
5.2%
ㆍ 425
 
4.4%
환 389
 
4.0%
대 389
 
4.0%
전 389
 
4.0%
설 298
 
3.1%
시 247
 
2.6%
Other values (68) 4269
44.2%
Decimal Number
ValueCountFrequency (%)
2 59
54.1%
3 32
29.4%
1 18
 
16.5%
Space Separator
ValueCountFrequency (%)
632
100.0%
Open Punctuation
ValueCountFrequency (%)
( 450
100.0%
Close Punctuation
ValueCountFrequency (%)
) 450
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9663
85.5%
Common 1641
 
14.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 1268
 
13.1%
공 800
 
8.3%
사 691
 
7.2%
종 498
 
5.2%
ㆍ 425
 
4.4%
환 389
 
4.0%
대 389
 
4.0%
전 389
 
4.0%
설 298
 
3.1%
시 247
 
2.6%
Other values (68) 4269
44.2%
Common
ValueCountFrequency (%)
632
38.5%
( 450
27.4%
) 450
27.4%
2 59
 
3.6%
3 32
 
2.0%
1 18
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9238
81.7%
ASCII 1641
 
14.5%
Compat Jamo 425
 
3.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 1268
 
13.7%
공 800
 
8.7%
사 691
 
7.5%
종 498
 
5.4%
환 389
 
4.2%
대 389
 
4.2%
전 389
 
4.2%
설 298
 
3.2%
시 247
 
2.7%
물 203
 
2.2%
Other values (67) 4066
44.0%
ASCII
ValueCountFrequency (%)
632
38.5%
( 450
27.4%
) 450
27.4%
2 59
 
3.6%
3 32
 
2.0%
1 18
 
1.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 425
100.0%

소재지
Text

Distinct316
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-11T01:16:36.959658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length43
Mean length30.311728
Min length22

Characters and Unicode

Total characters9821
Distinct characters163
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

Unique309 ?
Unique (%)95.4%

Sample

1st row부산광역시 동래구 충렬대로387번길 24 비 101호 (안락동, 신성스카이)
2nd row부산광역시 동래구 충렬대로 404 3층 (안락동)
3rd row부산광역시 동래구 아시아드대로207번길 22 (온천동)
4th row부산광역시 동래구 반송로 217 ,2층 (안락동)
5th row부산광역시 동래구 여고로12번길 9 , 2층 (사직동)
ValueCountFrequency (%)
부산광역시 324
 
16.6%
동래구 324
 
16.6%
온천동 84
 
4.3%
안락동 81
 
4.2%
사직동 54
 
2.8%
2층 41
 
2.1%
30
 
1.5%
3층 29
 
1.5%
1층 25
 
1.3%
명장동 24
 
1.2%
Other values (449) 933
47.9%
2023-12-11T01:16:37.499795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1625
 
16.5%
동 694
 
7.1%
시 353
 
3.6%
1 341
 
3.5%
래 340
 
3.5%
) 334
 
3.4%
( 334
 
3.4%
산 331
 
3.4%
광 329
 
3.3%
구 325
 
3.3%
Other values (153) 4815
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5727
58.3%
Decimal Number 1639
 
16.7%
Space Separator 1625
 
16.5%
Close Punctuation 334
 
3.4%
Open Punctuation 334
 
3.4%
Other Punctuation 109
 
1.1%
Dash Punctuation 49
 
0.5%
Uppercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 694
 
12.1%
시 353
 
6.2%
래 340
 
5.9%
산 331
 
5.8%
광 329
 
5.7%
구 325
 
5.7%
부 324
 
5.7%
역 324
 
5.7%
로 322
 
5.6%
길 176
 
3.1%
Other values (133) 2209
38.6%
Decimal Number
ValueCountFrequency (%)
1 341
20.8%
2 268
16.4%
3 221
13.5%
0 175
10.7%
4 132
 
8.1%
5 121
 
7.4%
7 110
 
6.7%
8 109
 
6.7%
6 94
 
5.7%
9 68
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 98
89.9%
， 9
 
8.3%
/ 2
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
F 1
25.0%
D 1
25.0%
Space Separator
ValueCountFrequency (%)
1625
100.0%
Close Punctuation
ValueCountFrequency (%)
) 334
100.0%
Open Punctuation
ValueCountFrequency (%)
( 334
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5727
58.3%
Common 4090
41.6%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 694
 
12.1%
시 353
 
6.2%
래 340
 
5.9%
산 331
 
5.8%
광 329
 
5.7%
구 325
 
5.7%
부 324
 
5.7%
역 324
 
5.7%
로 322
 
5.6%
길 176
 
3.1%
Other values (133) 2209
38.6%
Common
ValueCountFrequency (%)
1625
39.7%
1 341
 
8.3%
) 334
 
8.2%
( 334
 
8.2%
2 268
 
6.6%
3 221
 
5.4%
0 175
 
4.3%
4 132
 
3.2%
5 121
 
3.0%
7 110
 
2.7%
Other values (7) 429
 
10.5%
Latin
ValueCountFrequency (%)
B 2
50.0%
F 1
25.0%
D 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5727
58.3%
ASCII 4085
41.6%
None 9
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1625
39.8%
1 341
 
8.3%
) 334
 
8.2%
( 334
 
8.2%
2 268
 
6.6%
3 221
 
5.4%
0 175
 
4.3%
4 132
 
3.2%
5 121
 
3.0%
7 110
 
2.7%
Other values (9) 424
 
10.4%
Hangul
ValueCountFrequency (%)
동 694
 
12.1%
시 353
 
6.2%
래 340
 
5.9%
산 331
 
5.8%
광 329
 
5.7%
구 325
 
5.7%
부 324
 
5.7%
역 324
 
5.7%
로 322
 
5.6%
길 176
 
3.1%
Other values (133) 2209
38.6%
None
ValueCountFrequency (%)
， 9
100.0%

전화번호
Text

Distinct316
Distinct (%)98.4%
Missing3
Missing (%)0.9%
Memory size2.7 KiB
2023-12-11T01:16:37.731891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.006231
Min length9

Characters and Unicode

Total characters3854
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

Unique313 ?
Unique (%)97.5%

Sample

1st row051-523-4800
2nd row051-504-3050
3rd row051-554-3248
4th row051-703-6301
5th row051-502-0885
ValueCountFrequency (%)
051-806-6442 4
 
1.2%
051-337-8543 2
 
0.6%
051-555-0649 2
 
0.6%
051-504-6261 1
 
0.3%
051-529-7890 1
 
0.3%
051-513-8831 1
 
0.3%
051-501-2552 1
 
0.3%
051-532-1037 1
 
0.3%
051-583-6581 1
 
0.3%
051-529-0654 1
 
0.3%
Other values (306) 306
95.3%
2023-12-11T01:16:38.201928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 799
20.7%
- 641
16.6%
0 615
16.0%
1 523
13.6%
2 232
 
6.0%
7 213
 
5.5%
8 191
 
5.0%
3 177
 
4.6%
4 171
 
4.4%
6 170
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3213
83.4%
Dash Punctuation 641
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 799
24.9%
0 615
19.1%
1 523
16.3%
2 232
 
7.2%
7 213
 
6.6%
8 191
 
5.9%
3 177
 
5.5%
4 171
 
5.3%
6 170
 
5.3%
9 122
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 641
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3854
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 799
20.7%
- 641
16.6%
0 615
16.0%
1 523
13.6%
2 232
 
6.0%
7 213
 
5.5%
8 191
 
5.0%
3 177
 
4.6%
4 171
 
4.4%
6 170
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3854
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 799
20.7%
- 641
16.6%
0 615
16.0%
1 523
13.6%
2 232
 
6.0%
7 213
 
5.5%
8 191
 
5.0%
3 177
 
4.6%
4 171
 
4.4%
6 170
 
4.4%

위도
Real number (ℝ)

Distinct222
Distinct (%)68.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.202771
Minimum35.190255
Maximum35.223889
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T01:16:38.414997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.190255
5-th percentile35.194431
Q135.198201
median35.20004
Q335.206218
95-th percentile35.217588
Maximum35.223889
Range0.03363405
Interquartile range (IQR)0.00801683

Descriptive statistics

Standard deviation0.0068861149
Coefficient of variation (CV)0.00019561287
Kurtosis0.36883244
Mean35.202771
Median Absolute Deviation (MAD)0.003395435
Skewness0.98272054
Sum11405.698
Variance4.7418579 × 10-5
MonotonicityNot monotonic
2023-12-11T01:16:38.573844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.19969393 6
 
1.9%
35.204 5
 
1.5%
35.196979 5
 
1.5%
35.198201 4
 
1.2%
35.19801581 4
 
1.2%
35.19942 4
 
1.2%
35.218567 4
 
1.2%
35.19941 4
 
1.2%
35.208392 3
 
0.9%
35.19664412 3
 
0.9%
Other values (212) 282
87.0%
ValueCountFrequency (%)
35.19025464 1
 
0.3%
35.19074899 1
 
0.3%
35.19170417 1
 
0.3%
35.19243685 1
 
0.3%
35.19278052 1
 
0.3%
35.19283652 2
0.6%
35.192885 1
 
0.3%
35.19348966 2
0.6%
35.19388 3
0.9%
35.194 1
 
0.3%
ValueCountFrequency (%)
35.22388869 1
 
0.3%
35.22388445 1
 
0.3%
35.22259346 1
 
0.3%
35.221452 1
 
0.3%
35.22024521 1
 
0.3%
35.21894798 2
0.6%
35.21859473 1
 
0.3%
35.218567 4
1.2%
35.21838628 2
0.6%
35.21807869 1
 
0.3%

경도
Real number (ℝ)

Distinct221
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean398500.37
Minimum129.05359
Maximum1.2907242 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T01:16:38.765814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.05359
5-th percentile129.06315
Q1129.0738
median129.08547
Q3129.09902
95-th percentile129.10666
Maximum1.2907242 × 108
Range1.2907229 × 108
Interquartile range (IQR)0.025218025

Descriptive statistics

Standard deviation7170683.1
Coefficient of variation (CV)17.994169
Kurtosis324
Mean398500.37
Median Absolute Deviation (MAD)0.0127439
Skewness18
Sum1.2911412 × 108
Variance5.1418695 × 1013
MonotonicityNot monotonic
2023-12-11T01:16:38.908178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.0833879 6
 
1.9%
129.087 5
 
1.5%
129.10243 5
 
1.5%
129.083213 4
 
1.2%
129.0985259 4
 
1.2%
129.106659 4
 
1.2%
129.058132 4
 
1.2%
129.106531 4
 
1.2%
129.098337 3
 
0.9%
129.0773862 3
 
0.9%
Other values (211) 282
87.0%
ValueCountFrequency (%)
129.0535911 1
 
0.3%
129.056786 2
0.6%
129.058132 4
1.2%
129.058291 2
0.6%
129.0591047 1
 
0.3%
129.0609606 1
 
0.3%
129.0612874 2
0.6%
129.063 2
0.6%
129.0631285 2
0.6%
129.063246 2
0.6%
ValueCountFrequency (%)
129072424.0 1
0.3%
129.113312 1
0.3%
129.1128514 1
0.3%
129.1124103 1
0.3%
129.111582 1
0.3%
129.1113821 1
0.3%
129.1099077 1
0.3%
129.109552 1
0.3%
129.109509 1
0.3%
129.1092313 1
0.3%

데이터기준
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2022-09-27
324 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-09-27
2nd row2022-09-27
3rd row2022-09-27
4th row2022-09-27
5th row2022-09-27

Common Values

ValueCountFrequency (%)
2022-09-27 324
100.0%

Length

2023-12-11T01:16:39.046997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:16:39.133883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-27 324
100.0%

Interactions

2023-12-11T01:16:34.263215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:16:33.959475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:16:34.394635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:16:34.104973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:16:39.192050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.080
경도0.0801.000
2023-12-11T01:16:39.267874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.000-0.288
경도-0.2881.000

Missing values

2023-12-11T01:16:34.547745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:16:34.718275image/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

구군명상호업종소재지전화번호위도경도데이터기준
0부산광역시 동래구(주)가원이앤씨기계설비공사업(대업종전환) 기계가스설비공사업부산광역시 동래구 충렬대로387번길 24 비 101호 (안락동, 신성스카이)051-523-480035.199978129.0944842022-09-27
1부산광역시 동래구(주)거성토건이엔씨상ㆍ하수도설비공사업 비계ㆍ구조물해체공사업(대업종전환) 상ㆍ하수도설비공사업(대업종전환) 구조물해체ㆍ비계공사업 토공사업(대업종전환) 지반조성ㆍ포장공사업 철근ㆍ콘크리트공사업 철근ㆍ콘크리트공사업(대업종전환)부산광역시 동래구 충렬대로 404 3층 (안락동)051-504-305035.199978129.0944842022-09-27
2부산광역시 동래구(주)거웅이엔지기계설비공사업(대업종전환) 기계가스설비공사업부산광역시 동래구 아시아드대로207번길 22 (온천동)051-554-324835.194831129.0657032022-09-27
3부산광역시 동래구(주)건안건설철근ㆍ콘크리트공사업(대업종전환) 철근ㆍ콘크리트공사업부산광역시 동래구 반송로 217 ,2층 (안락동)051-703-630135.194608129.0657022022-09-27
4부산광역시 동래구(주)건양산업개발지붕판금ㆍ건축물조립공사업(대업종전환) 금속창호ㆍ지붕건축물조립공사업부산광역시 동래구 여고로12번길 9 , 2층 (사직동)051-502-088535.201475129.0699292022-09-27
5부산광역시 동래구(주)경동엔씨에스가스시설시공업 제3종(대업종전환) 가스난방공사업부산광역시 동래구 석사북로 80， 1층 (온천동)051-556-365135.20615129.0745762022-09-27
6부산광역시 동래구(주)경전토건철근ㆍ콘크리트공사업(대업종전환) 철근ㆍ콘크리트공사업부산광역시 동래구 사직북로28번길 154 202호 (온천동)051-501-268835.20615129.0745762022-09-27
7부산광역시 동래구(주)고려엔지니어링종합건설시설물유지관리업부산광역시 동래구 충렬대로237번길 66 301호,502호(복천동,동림빌딩) (복천동)051-501-236635.199694129.0833882022-09-27
8부산광역시 동래구(주)공감대한이앤씨건축사사무소시설물유지관리업부산광역시 동래구 충렬대로 368 상가 201호 (안락동, 롯데캐슬애브뉴)051-513-041135.199694129.0833882022-09-27
9부산광역시 동래구(주)관우티앤씨철근ㆍ콘크리트공사업 토공사업(대업종전환) 철근ㆍ콘크리트공사업(대업종전환) 지반조성ㆍ포장공사업부산광역시 동래구 여고로103번길 11-2 3층 (사직동)051-507-753035.199533129.0906652022-09-27
구군명상호업종소재지전화번호위도경도데이터기준
314부산광역시 동래구친구조경건설(주)조경시설물설치공사업(대업종전환) 조경식재공사업(대업종전환) 조경식재ㆍ시설물공사업부산광역시 동래구 충렬대로200번길 25 한진타운상가 206호,207호 (수안동)051-756-007935.1981129.0938562022-09-27
315부산광역시 동래구친절가스가스시설시공업 제2종(대업종전환) 가스난방공사업부산광역시 동래구 명장로 116-1 (명장동)051-528-888835.1981129.0938562022-09-27
316부산광역시 동래구태양가스가스시설시공업 제2종(대업종전환) 가스난방공사업부산광역시 동래구 복천로 49 (복천동)051-556-001735.204256129.0649322022-09-27
317부산광역시 동래구팀드림스페이스주식회사실내건축공사업(대업종전환) 실내건축공사업부산광역시 동래구 동래로134번길 24-4 (복천동)051-761-062435.200767129.0891792022-09-27
318부산광역시 동래구풍산건설(주)상ㆍ하수도설비공사업(대업종전환) 상ㆍ하수도설비공사업 시설물유지관리업부산광역시 동래구 동래로57번길 30-11 2층 (명륜동)051-806-644235.190749129.1115822022-09-27
319부산광역시 동래구한국설비난방시공업 제2종(폐업) 가스난방공사업 가스시설시공업 제3종(대업종전환)부산광역시 동래구 명안로9번길 108 (안락동)051-522-178835.221452129.0856852022-09-27
320부산광역시 동래구한성설비가스난방공사업 난방시공업 제2종(대업종전환)부산광역시 동래구 온천장로125번길 65 (온천동)051-554-834935.204263129.0729562022-09-27
321부산광역시 동래구함안수도보일러난방시공업 제2종(대업종전환) 가스난방공사업부산광역시 동래구 아시아드대로195번길 41 (사직동)051-502-005335.19779129.0952982022-09-27
322부산광역시 동래구현대설비가스시설시공업 제3종(폐업) 가스시설시공업 제3종(폐업) 난방시공업 제2종(대업종전환) 가스난방공사업부산광역시 동래구 사직북로 71-32, 산용산호빌라 108호 (사직동)051-504-626135.19779129.0952982022-09-27
323부산광역시 동래구홍산건설(주)상ㆍ하수도설비공사업(대업종전환) 포장공사업(대업종전환) 철근ㆍ콘크리트공사업(대업종전환) 철근ㆍ콘크리트공사업 지반조성ㆍ포장공사업 상ㆍ하수도설비공사업부산광역시 동래구 충렬대로 365 (정금B/D 301) (안락동)051-531-666135.19877129.097432022-09-27