Overview

Dataset statistics

Number of variables7
Number of observations276
Missing cells119
Missing cells (%)6.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.5 KiB
Average record size in memory57.5 B

Variable types

Categorical2
Text4
Numeric1

Dataset

Description부산광역시강서구_위탁급식영업현황_20230519
Author부산광역시 강서구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15036265

Alerts

업종명 has constant value ""Constant
우편번호(도로명) is highly overall correlated with 우편번호(지번)High correlation
우편번호(지번) is highly overall correlated with 우편번호(도로명)High correlation
소재지(도로명) has 3 (1.1%) missing valuesMissing
소재지전화 has 110 (39.9%) missing valuesMissing
우편번호(도로명) has 4 (1.4%) missing valuesMissing

Reproduction

Analysis started2023-12-10 16:44:11.975611
Analysis finished2023-12-10 16:44:13.003797
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
위탁급식영업
276 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위탁급식영업 276
100.0%

Length

2023-12-11T01:44:13.094730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:44:13.191324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁급식영업 276
100.0%

업소명
Text

Distinct271
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-11T01:44:13.419765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length22
Mean length9.8188406
Min length2

Characters and Unicode

Total characters2710
Distinct characters287
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique266 ?
Unique (%)96.4%

Sample

1st row아진구내식당
2nd row삼성웰스토리(주)르노자동차 중앙
3rd row삼성웰스토리(주)르노자동차 동백
4th row금문산업(주) 구내식당
5th row삼성웰스토리(주)전기부산
ValueCountFrequency (%)
구내식당 20
 
4.8%
주)풀무원푸드앤컬처 9
 
2.2%
주)아워홈 6
 
1.4%
주)새손 6
 
1.4%
주)동원홈푸드 6
 
1.4%
삼성웰스토리(주)르노자동차 5
 
1.2%
푸디스트(주 5
 
1.2%
주)대웅 4
 
1.0%
주식회사 4
 
1.0%
주)씨엠 4
 
1.0%
Other values (322) 348
83.5%
2023-12-11T01:44:13.885980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 182
 
6.7%
당 161
 
5.9%
141
 
5.2%
내 118
 
4.4%
구 117
 
4.3%
주 103
 
3.8%
) 97
 
3.6%
( 97
 
3.6%
점 56
 
2.1%
스 52
 
1.9%
Other values (277) 1586
58.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2318
85.5%
Space Separator 141
 
5.2%
Close Punctuation 97
 
3.6%
Open Punctuation 97
 
3.6%
Uppercase Letter 41
 
1.5%
Decimal Number 8
 
0.3%
Lowercase Letter 7
 
0.3%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 182
 
7.9%
당 161
 
6.9%
내 118
 
5.1%
구 117
 
5.0%
주 103
 
4.4%
점 56
 
2.4%
스 52
 
2.2%
푸 46
 
2.0%
산 46
 
2.0%
드 43
 
1.9%
Other values (249) 1394
60.1%
Uppercase Letter
ValueCountFrequency (%)
K 7
17.1%
N 5
12.2%
T 5
12.2%
C 5
12.2%
S 4
9.8%
B 3
7.3%
E 3
7.3%
I 2
 
4.9%
O 1
 
2.4%
R 1
 
2.4%
Other values (5) 5
12.2%
Lowercase Letter
ValueCountFrequency (%)
p 2
28.6%
h 1
14.3%
n 1
14.3%
t 1
14.3%
s 1
14.3%
k 1
14.3%
Decimal Number
ValueCountFrequency (%)
2 5
62.5%
1 2
 
25.0%
3 1
 
12.5%
Space Separator
ValueCountFrequency (%)
141
100.0%
Close Punctuation
ValueCountFrequency (%)
) 97
100.0%
Open Punctuation
ValueCountFrequency (%)
( 97
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2318
85.5%
Common 344
 
12.7%
Latin 48
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 182
 
7.9%
당 161
 
6.9%
내 118
 
5.1%
구 117
 
5.0%
주 103
 
4.4%
점 56
 
2.4%
스 52
 
2.2%
푸 46
 
2.0%
산 46
 
2.0%
드 43
 
1.9%
Other values (249) 1394
60.1%
Latin
ValueCountFrequency (%)
K 7
14.6%
N 5
10.4%
T 5
10.4%
C 5
10.4%
S 4
 
8.3%
B 3
 
6.2%
E 3
 
6.2%
p 2
 
4.2%
I 2
 
4.2%
h 1
 
2.1%
Other values (11) 11
22.9%
Common
ValueCountFrequency (%)
141
41.0%
) 97
28.2%
( 97
28.2%
2 5
 
1.5%
1 2
 
0.6%
. 1
 
0.3%
3 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2318
85.5%
ASCII 392
 
14.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 182
 
7.9%
당 161
 
6.9%
내 118
 
5.1%
구 117
 
5.0%
주 103
 
4.4%
점 56
 
2.4%
스 52
 
2.2%
푸 46
 
2.0%
산 46
 
2.0%
드 43
 
1.9%
Other values (249) 1394
60.1%
ASCII
ValueCountFrequency (%)
141
36.0%
) 97
24.7%
( 97
24.7%
K 7
 
1.8%
N 5
 
1.3%
T 5
 
1.3%
C 5
 
1.3%
2 5
 
1.3%
S 4
 
1.0%
B 3
 
0.8%
Other values (18) 23
 
5.9%

소재지(도로명)
Text

MISSING 

Distinct270
Distinct (%)98.9%
Missing3
Missing (%)1.1%
Memory size2.3 KiB
2023-12-11T01:44:14.167593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length45
Mean length30.095238
Min length23

Characters and Unicode

Total characters8216
Distinct characters159
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique269 ?
Unique (%)98.5%

Sample

1st row부산광역시 강서구 녹산산업중로 122 (송정동)
2nd row부산광역시 강서구 르노삼성대로 61 (신호동)
3rd row부산광역시 강서구 르노삼성대로 61 (신호동)
4th row부산광역시 강서구 녹산산업중로 224 (송정동)
5th row부산광역시 강서구 녹산산업중로 333 (송정동)
ValueCountFrequency (%)
부산광역시 273
 
17.7%
강서구 273
 
17.7%
송정동 128
 
8.3%
1층 46
 
3.0%
지사동 28
 
1.8%
미음동 27
 
1.7%
녹산산업중로 22
 
1.4%
녹산산업북로 18
 
1.2%
생곡동 17
 
1.1%
화전동 17
 
1.1%
Other values (345) 694
45.0%
2023-12-11T01:44:14.571639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1270
 
15.5%
산 624
 
7.6%
동 339
 
4.1%
부 299
 
3.6%
) 287
 
3.5%
( 287
 
3.5%
구 283
 
3.4%
시 277
 
3.4%
1 276
 
3.4%
서 276
 
3.4%
Other values (149) 3998
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4957
60.3%
Space Separator 1270
 
15.5%
Decimal Number 1257
 
15.3%
Close Punctuation 287
 
3.5%
Open Punctuation 287
 
3.5%
Other Punctuation 101
 
1.2%
Uppercase Letter 31
 
0.4%
Dash Punctuation 25
 
0.3%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 624
 
12.6%
동 339
 
6.8%
부 299
 
6.0%
구 283
 
5.7%
시 277
 
5.6%
서 276
 
5.6%
로 274
 
5.5%
강 274
 
5.5%
광 274
 
5.5%
역 273
 
5.5%
Other values (123) 1764
35.6%
Decimal Number
ValueCountFrequency (%)
1 276
22.0%
2 217
17.3%
3 179
14.2%
6 126
10.0%
4 92
 
7.3%
5 92
 
7.3%
7 77
 
6.1%
8 75
 
6.0%
9 66
 
5.3%
0 57
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
B 9
29.0%
A 8
25.8%
C 4
12.9%
I 3
 
9.7%
D 2
 
6.5%
H 1
 
3.2%
T 1
 
3.2%
F 1
 
3.2%
N 1
 
3.2%
K 1
 
3.2%
Space Separator
ValueCountFrequency (%)
1270
100.0%
Close Punctuation
ValueCountFrequency (%)
) 287
100.0%
Open Punctuation
ValueCountFrequency (%)
( 287
100.0%
Other Punctuation
ValueCountFrequency (%)
, 101
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4957
60.3%
Common 3227
39.3%
Latin 32
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 624
 
12.6%
동 339
 
6.8%
부 299
 
6.0%
구 283
 
5.7%
시 277
 
5.6%
서 276
 
5.6%
로 274
 
5.5%
강 274
 
5.5%
광 274
 
5.5%
역 273
 
5.5%
Other values (123) 1764
35.6%
Common
ValueCountFrequency (%)
1270
39.4%
) 287
 
8.9%
( 287
 
8.9%
1 276
 
8.6%
2 217
 
6.7%
3 179
 
5.5%
6 126
 
3.9%
, 101
 
3.1%
4 92
 
2.9%
5 92
 
2.9%
Other values (5) 300
 
9.3%
Latin
ValueCountFrequency (%)
B 9
28.1%
A 8
25.0%
C 4
12.5%
I 3
 
9.4%
D 2
 
6.2%
b 1
 
3.1%
H 1
 
3.1%
T 1
 
3.1%
F 1
 
3.1%
N 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4957
60.3%
ASCII 3259
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1270
39.0%
) 287
 
8.8%
( 287
 
8.8%
1 276
 
8.5%
2 217
 
6.7%
3 179
 
5.5%
6 126
 
3.9%
, 101
 
3.1%
4 92
 
2.8%
5 92
 
2.8%
Other values (16) 332
 
10.2%
Hangul
ValueCountFrequency (%)
산 624
 
12.6%
동 339
 
6.8%
부 299
 
6.0%
구 283
 
5.7%
시 277
 
5.6%
서 276
 
5.6%
로 274
 
5.5%
강 274
 
5.5%
광 274
 
5.5%
역 273
 
5.5%
Other values (123) 1764
35.6%

소재지(지번)
Text

Distinct269
Distinct (%)98.2%
Missing2
Missing (%)0.7%
Memory size2.3 KiB
2023-12-11T01:44:14.892739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length42
Mean length22.810219
Min length18

Characters and Unicode

Total characters6250
Distinct characters138
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique266 ?
Unique (%)97.1%

Sample

1st row부산광역시 강서구 송정동 1500-10
2nd row부산광역시 강서구 신호동 185
3rd row부산광역시 강서구 신호동 185
4th row부산광역시 강서구 송정동 1567-10
5th row부산광역시 강서구 송정동 1623-2
ValueCountFrequency (%)
부산광역시 274
22.5%
강서구 274
22.5%
송정동 131
 
10.8%
지사동 28
 
2.3%
미음동 25
 
2.1%
생곡동 17
 
1.4%
화전동 17
 
1.4%
1층 15
 
1.2%
신호동 10
 
0.8%
구랑동 10
 
0.8%
Other values (334) 415
34.1%
2023-12-11T01:44:15.408619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1213
19.4%
1 445
 
7.1%
동 313
 
5.0%
부 296
 
4.7%
산 296
 
4.7%
구 286
 
4.6%
시 277
 
4.4%
서 277
 
4.4%
광 275
 
4.4%
강 275
 
4.4%
Other values (128) 2297
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3356
53.7%
Decimal Number 1389
22.2%
Space Separator 1213
 
19.4%
Dash Punctuation 234
 
3.7%
Uppercase Letter 26
 
0.4%
Open Punctuation 14
 
0.2%
Close Punctuation 14
 
0.2%
Lowercase Letter 2
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 313
9.3%
부 296
8.8%
산 296
8.8%
구 286
8.5%
시 277
8.3%
서 277
8.3%
광 275
8.2%
강 275
8.2%
역 274
8.2%
송 131
 
3.9%
Other values (103) 656
19.5%
Decimal Number
ValueCountFrequency (%)
1 445
32.0%
6 155
 
11.2%
5 153
 
11.0%
2 138
 
9.9%
4 108
 
7.8%
3 91
 
6.6%
7 81
 
5.8%
9 76
 
5.5%
8 71
 
5.1%
0 71
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
B 11
42.3%
I 3
 
11.5%
A 3
 
11.5%
C 3
 
11.5%
L 2
 
7.7%
D 1
 
3.8%
N 1
 
3.8%
K 1
 
3.8%
T 1
 
3.8%
Space Separator
ValueCountFrequency (%)
1213
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 234
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Lowercase Letter
ValueCountFrequency (%)
i 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3356
53.7%
Common 2866
45.9%
Latin 28
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 313
9.3%
부 296
8.8%
산 296
8.8%
구 286
8.5%
시 277
8.3%
서 277
8.3%
광 275
8.2%
강 275
8.2%
역 274
8.2%
송 131
 
3.9%
Other values (103) 656
19.5%
Common
ValueCountFrequency (%)
1213
42.3%
1 445
 
15.5%
- 234
 
8.2%
6 155
 
5.4%
5 153
 
5.3%
2 138
 
4.8%
4 108
 
3.8%
3 91
 
3.2%
7 81
 
2.8%
9 76
 
2.7%
Other values (5) 172
 
6.0%
Latin
ValueCountFrequency (%)
B 11
39.3%
I 3
 
10.7%
A 3
 
10.7%
C 3
 
10.7%
i 2
 
7.1%
L 2
 
7.1%
D 1
 
3.6%
N 1
 
3.6%
K 1
 
3.6%
T 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3356
53.7%
ASCII 2894
46.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1213
41.9%
1 445
 
15.4%
- 234
 
8.1%
6 155
 
5.4%
5 153
 
5.3%
2 138
 
4.8%
4 108
 
3.7%
3 91
 
3.1%
7 81
 
2.8%
9 76
 
2.6%
Other values (15) 200
 
6.9%
Hangul
ValueCountFrequency (%)
동 313
9.3%
부 296
8.8%
산 296
8.8%
구 286
8.5%
시 277
8.3%
서 277
8.3%
광 275
8.2%
강 275
8.2%
역 274
8.2%
송 131
 
3.9%
Other values (103) 656
19.5%

소재지전화
Text

MISSING 

Distinct152
Distinct (%)91.6%
Missing110
Missing (%)39.9%
Memory size2.3 KiB
2023-12-11T01:44:15.766628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.006024
Min length9

Characters and Unicode

Total characters1993
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

Unique142 ?
Unique (%)85.5%

Sample

1st row051-973-1394
2nd row051-979-9151
3rd row051-979-9154
4th row051-601-3299
5th row051-970-9125
ValueCountFrequency (%)
051-831-3880 4
 
2.4%
051-633-0102 3
 
1.8%
051-973-4378 3
 
1.8%
070-4400-2031 2
 
1.2%
051-831-1933 2
 
1.2%
055-312-4001 2
 
1.2%
051-831-2820 2
 
1.2%
055-380-9913 2
 
1.2%
051-979-9151 2
 
1.2%
051-899-7938 2
 
1.2%
Other values (142) 142
85.5%
2023-12-11T01:44:16.226780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 330
16.6%
1 305
15.3%
0 294
14.8%
5 245
12.3%
3 185
9.3%
8 159
8.0%
2 124
 
6.2%
9 110
 
5.5%
7 108
 
5.4%
4 77
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1663
83.4%
Dash Punctuation 330
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 305
18.3%
0 294
17.7%
5 245
14.7%
3 185
11.1%
8 159
9.6%
2 124
7.5%
9 110
 
6.6%
7 108
 
6.5%
4 77
 
4.6%
6 56
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 330
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1993
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 330
16.6%
1 305
15.3%
0 294
14.8%
5 245
12.3%
3 185
9.3%
8 159
8.0%
2 124
 
6.2%
9 110
 
5.5%
7 108
 
5.4%
4 77
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1993
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 330
16.6%
1 305
15.3%
0 294
14.8%
5 245
12.3%
3 185
9.3%
8 159
8.0%
2 124
 
6.2%
9 110
 
5.5%
7 108
 
5.4%
4 77
 
3.9%

우편번호(도로명)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct36
Distinct (%)13.2%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean46746.647
Minimum46700
Maximum46772
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2023-12-11T01:44:16.419451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46700
5-th percentile46727
Q146742
median46751
Q346754
95-th percentile46758.45
Maximum46772
Range72
Interquartile range (IQR)12

Descriptive statistics

Standard deviation11.796572
Coefficient of variation (CV)0.00025235118
Kurtosis2.1178579
Mean46746.647
Median Absolute Deviation (MAD)6
Skewness-1.2789046
Sum12715088
Variance139.15911
MonotonicityNot monotonic
2023-12-11T01:44:16.596838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
46753 35
12.7%
46742 27
 
9.8%
46754 26
 
9.4%
46755 18
 
6.5%
46752 17
 
6.2%
46751 17
 
6.2%
46744 16
 
5.8%
46757 16
 
5.8%
46727 12
 
4.3%
46747 12
 
4.3%
Other values (26) 76
27.5%
ValueCountFrequency (%)
46700 1
 
0.4%
46702 1
 
0.4%
46704 1
 
0.4%
46707 2
 
0.7%
46712 1
 
0.4%
46718 1
 
0.4%
46720 1
 
0.4%
46721 1
 
0.4%
46726 2
 
0.7%
46727 12
4.3%
ValueCountFrequency (%)
46772 1
 
0.4%
46767 7
 
2.5%
46762 2
 
0.7%
46759 4
 
1.4%
46758 6
 
2.2%
46757 16
5.8%
46756 2
 
0.7%
46755 18
6.5%
46754 26
9.4%
46753 35
12.7%

우편번호(지번)
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
618-819
42 
618-818
37 
618-817
32 
618-230
28 
618-220
25 
Other values (20)
112 

Length

Max length7
Median length7
Mean length6.9782609
Min length4

Unique

Unique7 ?
Unique (%)2.5%

Sample

1st row618-817
2nd row618-290
3rd row618-290
4th row618-818
5th row618-819

Common Values

ValueCountFrequency (%)
618-819 42
15.2%
618-818 37
13.4%
618-817 32
11.6%
618-230 28
10.1%
618-220 25
9.1%
618-820 20
7.2%
618-250 17
6.2%
618-280 17
6.2%
618-290 10
 
3.6%
618-260 10
 
3.6%
Other values (15) 38
13.8%

Length

2023-12-11T01:44:16.799851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
618-819 42
15.2%
618-818 37
13.4%
618-817 32
11.6%
618-230 28
10.1%
618-220 25
9.1%
618-820 20
7.2%
618-250 17
6.2%
618-280 17
6.2%
618-290 10
 
3.6%
618-260 10
 
3.6%
Other values (15) 38
13.8%

Interactions

2023-12-11T01:44:12.465595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:44:16.907205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호(도로명)우편번호(지번)
우편번호(도로명)1.0000.982
우편번호(지번)0.9821.000
2023-12-11T01:44:17.018856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호(도로명)우편번호(지번)
우편번호(도로명)1.0000.873
우편번호(지번)0.8731.000

Missing values

2023-12-11T01:44:12.617504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:44:12.777593image/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.
2023-12-11T01:44:12.923554image/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

업종명업소명소재지(도로명)소재지(지번)소재지전화우편번호(도로명)우편번호(지번)
0위탁급식영업아진구내식당부산광역시 강서구 녹산산업중로 122 (송정동)부산광역시 강서구 송정동 1500-10051-973-139446752618-817
1위탁급식영업삼성웰스토리(주)르노자동차 중앙부산광역시 강서구 르노삼성대로 61 (신호동)부산광역시 강서구 신호동 185051-979-915146758618-290
2위탁급식영업삼성웰스토리(주)르노자동차 동백부산광역시 강서구 르노삼성대로 61 (신호동)부산광역시 강서구 신호동 185051-979-915446758618-290
3위탁급식영업금문산업(주) 구내식당부산광역시 강서구 녹산산업중로 224 (송정동)부산광역시 강서구 송정동 1567-10051-601-329946753618-818
4위탁급식영업삼성웰스토리(주)전기부산부산광역시 강서구 녹산산업중로 333 (송정동)부산광역시 강서구 송정동 1623-2051-970-912546754618-819
5위탁급식영업리오식당부산광역시 강서구 녹산산업중로 51-20 (송정동)부산광역시 강서구 송정동 1473-1051-831-950446751618-817
6위탁급식영업해광식당부산광역시 강서구 녹산산업북로 7 (송정동)부산광역시 강서구 송정동 1489-6051-831-452546751618-817
7위탁급식영업(주)새손 한국특강 녹산점부산광역시 강서구 녹산산단407로 84 (송정동)부산광역시 강서구 송정동 1660-1051-831-681246755618-819
8위탁급식영업삼성웰스토리(주)대한항공테크센터부산광역시 강서구 테크센터로 55 (대저2동)부산광역시 강서구 대저2동 103-1055-340-259346712618-804
9위탁급식영업(주)풀무원푸드앤컬처 한국공항공사 부산지역본부부산광역시 강서구 공항진입로42번길 54, 3층 일부 (대저2동)부산광역시 강서구 대저2동 794051-974-387646718618-804
업종명업소명소재지(도로명)소재지(지번)소재지전화우편번호(도로명)우편번호(지번)
266위탁급식영업동호에이텍 구내식당부산광역시 강서구 화전산단3로 82 (주)동호에이텍 1동 4층 (화전동)부산광역시 강서구 화전동 580-5<NA>46738618-280
267위탁급식영업주식회사 더존푸드<NA>부산광역시 강서구 구랑동 1278-4<NA><NA>618-260
268위탁급식영업(주)씨엠 하트만점부산광역시 강서구 낙동남로533번길 55 (주)하트만 4동 1층 (녹산동)부산광역시 강서구 녹산동 1338-3 (주)하트만<NA>46728618-210
269위탁급식영업진아푸드 동화엔텍 송정점부산광역시 강서구 녹산산단261로 7, C동 3층 (송정동)부산광역시 강서구 송정동 1575-61644-242946753618-818
270위탁급식영업푸디스트(주) 노바인터내쇼널부산광역시 강서구 범방2로 73, A동 3층 (범방동)부산광역시 강서구 범방동 1911-11<NA>46727618-240
271위탁급식영업쌍용식당부산광역시 강서구 미음산단2로 50, A동 (구랑동)부산광역시 강서구 구랑동 1215-2<NA>46748618-260
272위탁급식영업진아푸드 동화엔텍 화전점부산광역시 강서구 화전산단1로63번길 20, 2동 4층 (화전동)부산광역시 강서구 화전동 600-6<NA>46740618-280
273위탁급식영업본우리집밥 영도산업점부산광역시 강서구 녹산산업중로 22 (송정동)부산광역시 강서구 송정동 1478-1<NA>46751618-817
274위탁급식영업한국더블유씨알 식당부산광역시 강서구 신호산단1로 220-8, 1층 (신호동)부산광역시 강서구 신호동 291051-831-655746759618-290
275위탁급식영업(주)호성식품 트렉스타점부산광역시 강서구 녹산산업중로192번길 10 (송정동)부산광역시 강서구 송정동 1549-2<NA>46753618-818