Overview

Dataset statistics

Number of variables8
Number of observations107
Missing cells21
Missing cells (%)2.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.9 KiB
Average record size in memory66.2 B

Variable types

Numeric1
Text6
Categorical1

Dataset

Description부산광역시_서구_제조업공장현황_20230905
Author부산광역시 서구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15034967

Alerts

전화번호 has 4 (3.7%) missing valuesMissing
팩스번호 has 17 (15.9%) missing valuesMissing
순번 has unique valuesUnique
회사명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:17:46.330087
Analysis finished2023-12-10 16:17:47.849571
Duration1.52 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct107
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54
Minimum1
Maximum107
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T01:17:47.930154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.3
Q127.5
median54
Q380.5
95-th percentile101.7
Maximum107
Range106
Interquartile range (IQR)53

Descriptive statistics

Standard deviation31.032241
Coefficient of variation (CV)0.57467114
Kurtosis-1.2
Mean54
Median Absolute Deviation (MAD)27
Skewness0
Sum5778
Variance963
MonotonicityStrictly increasing
2023-12-11T01:17:48.078476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
69 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
75 1
 
0.9%
74 1
 
0.9%
73 1
 
0.9%
Other values (97) 97
90.7%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%
101 1
0.9%
100 1
0.9%
99 1
0.9%
98 1
0.9%

회사명
Text

UNIQUE 

Distinct107
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size988.0 B
2023-12-11T01:17:48.348811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length8.0093458
Min length3

Characters and Unicode

Total characters857
Distinct characters175
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107 ?
Unique (%)100.0%

Sample

1st row(사)부산고등어식품전략사업단
2nd row(유)신아종합
3rd row(주)경전산업
4th row(주)경해냉장지점
5th row(주)그린푸드
ValueCountFrequency (%)
주식회사 12
 
9.1%
어업회사법인 2
 
1.5%
부산공장 2
 
1.5%
사)부산고등어식품전략사업단 1
 
0.8%
성화산업사 1
 
0.8%
영동공업사 1
 
0.8%
해농수산(주 1
 
0.8%
지은 1
 
0.8%
아쿠아룩 1
 
0.8%
신태양전력 1
 
0.8%
Other values (109) 109
82.6%
2023-12-11T01:17:48.766762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 76
 
8.9%
) 67
 
7.8%
( 67
 
7.8%
사 32
 
3.7%
산 27
 
3.2%
25
 
2.9%
푸 21
 
2.5%
드 20
 
2.3%
식 18
 
2.1%
장 18
 
2.1%
Other values (165) 486
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 692
80.7%
Close Punctuation 67
 
7.8%
Open Punctuation 67
 
7.8%
Space Separator 25
 
2.9%
Other Punctuation 2
 
0.2%
Uppercase Letter 2
 
0.2%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 76
 
11.0%
사 32
 
4.6%
산 27
 
3.9%
푸 21
 
3.0%
드 20
 
2.9%
식 18
 
2.6%
장 18
 
2.6%
동 16
 
2.3%
공 16
 
2.3%
회 16
 
2.3%
Other values (156) 432
62.4%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
/ 1
50.0%
Uppercase Letter
ValueCountFrequency (%)
G 1
50.0%
F 1
50.0%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
2 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 67
100.0%
Space Separator
ValueCountFrequency (%)
25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 692
80.7%
Common 163
 
19.0%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 76
 
11.0%
사 32
 
4.6%
산 27
 
3.9%
푸 21
 
3.0%
드 20
 
2.9%
식 18
 
2.6%
장 18
 
2.6%
동 16
 
2.3%
공 16
 
2.3%
회 16
 
2.3%
Other values (156) 432
62.4%
Common
ValueCountFrequency (%)
) 67
41.1%
( 67
41.1%
25
 
15.3%
& 1
 
0.6%
/ 1
 
0.6%
3 1
 
0.6%
2 1
 
0.6%
Latin
ValueCountFrequency (%)
G 1
50.0%
F 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 692
80.7%
ASCII 165
 
19.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 76
 
11.0%
사 32
 
4.6%
산 27
 
3.9%
푸 21
 
3.0%
드 20
 
2.9%
식 18
 
2.6%
장 18
 
2.6%
동 16
 
2.3%
공 16
 
2.3%
회 16
 
2.3%
Other values (156) 432
62.4%
ASCII
ValueCountFrequency (%)
) 67
40.6%
( 67
40.6%
25
 
15.2%
& 1
 
0.6%
G 1
 
0.6%
F 1
 
0.6%
/ 1
 
0.6%
3 1
 
0.6%
2 1
 
0.6%

대표자명
Text

Distinct102
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size988.0 B
2023-12-11T01:17:49.035911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.1775701
Min length3

Characters and Unicode

Total characters340
Distinct characters112
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)91.6%

Sample

1st row이충근
2nd row곽차경
3rd row구의남
4th row박정호
5th row박삼암
ValueCountFrequency (%)
이충근 3
 
2.7%
민은홍 2
 
1.8%
박용준 2
 
1.8%
박문서 2
 
1.8%
정희동 2
 
1.8%
김학균 2
 
1.8%
임귀자 1
 
0.9%
이창주 1
 
0.9%
송도원 1
 
0.9%
남경자 1
 
0.9%
Other values (93) 93
84.5%
2023-12-11T01:17:49.522425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 18
 
5.3%
박 17
 
5.0%
이 16
 
4.7%
정 13
 
3.8%
동 7
 
2.1%
경 7
 
2.1%
종 7
 
2.1%
최 7
 
2.1%
수 7
 
2.1%
근 6
 
1.8%
Other values (102) 235
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 333
97.9%
Other Punctuation 4
 
1.2%
Space Separator 3
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 18
 
5.4%
박 17
 
5.1%
이 16
 
4.8%
정 13
 
3.9%
동 7
 
2.1%
경 7
 
2.1%
종 7
 
2.1%
최 7
 
2.1%
수 7
 
2.1%
근 6
 
1.8%
Other values (100) 228
68.5%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 333
97.9%
Common 7
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 18
 
5.4%
박 17
 
5.1%
이 16
 
4.8%
정 13
 
3.9%
동 7
 
2.1%
경 7
 
2.1%
종 7
 
2.1%
최 7
 
2.1%
수 7
 
2.1%
근 6
 
1.8%
Other values (100) 228
68.5%
Common
ValueCountFrequency (%)
, 4
57.1%
3
42.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 333
97.9%
ASCII 7
 
2.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 18
 
5.4%
박 17
 
5.1%
이 16
 
4.8%
정 13
 
3.9%
동 7
 
2.1%
경 7
 
2.1%
종 7
 
2.1%
최 7
 
2.1%
수 7
 
2.1%
근 6
 
1.8%
Other values (100) 228
68.5%
ASCII
ValueCountFrequency (%)
, 4
57.1%
3
42.9%

전화번호
Text

MISSING 

Distinct103
Distinct (%)100.0%
Missing4
Missing (%)3.7%
Memory size988.0 B
2023-12-11T01:17:49.867779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.009709
Min length11

Characters and Unicode

Total characters1237
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

Unique103 ?
Unique (%)100.0%

Sample

1st row051-714-7140
2nd row051-241-6151
3rd row051-242-2009
4th row051-254-8693
5th row051-263-4076
ValueCountFrequency (%)
051-714-7140 1
 
1.0%
051-246-0779 1
 
1.0%
051-257-8161 1
 
1.0%
070-4201-5866 1
 
1.0%
051-244-0223 1
 
1.0%
051-243-5876 1
 
1.0%
051-253-3480 1
 
1.0%
051-243-3694 1
 
1.0%
051-253-8831 1
 
1.0%
051-244-4233 1
 
1.0%
Other values (93) 93
90.3%
2023-12-11T01:17:50.374934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 206
16.7%
1 187
15.1%
5 185
15.0%
0 183
14.8%
2 140
11.3%
6 71
 
5.7%
4 70
 
5.7%
3 67
 
5.4%
7 52
 
4.2%
8 41
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1031
83.3%
Dash Punctuation 206
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 187
18.1%
5 185
17.9%
0 183
17.7%
2 140
13.6%
6 71
 
6.9%
4 70
 
6.8%
3 67
 
6.5%
7 52
 
5.0%
8 41
 
4.0%
9 35
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 206
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1237
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 206
16.7%
1 187
15.1%
5 185
15.0%
0 183
14.8%
2 140
11.3%
6 71
 
5.7%
4 70
 
5.7%
3 67
 
5.4%
7 52
 
4.2%
8 41
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1237
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 206
16.7%
1 187
15.1%
5 185
15.0%
0 183
14.8%
2 140
11.3%
6 71
 
5.7%
4 70
 
5.7%
3 67
 
5.4%
7 52
 
4.2%
8 41
 
3.3%

팩스번호
Text

MISSING 

Distinct89
Distinct (%)98.9%
Missing17
Missing (%)15.9%
Memory size988.0 B
2023-12-11T01:17:50.750615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.033333
Min length11

Characters and Unicode

Total characters1083
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

Unique88 ?
Unique (%)97.8%

Sample

1st row051-980-7140
2nd row051-244-2878
3rd row051-241-0814
4th row051-244-2828
5th row051-263-4077
ValueCountFrequency (%)
051-231-7909 2
 
2.2%
051-250-9903 1
 
1.1%
051-980-7140 1
 
1.1%
051-415-5468 1
 
1.1%
051-257-8162 1
 
1.1%
051-247-0779 1
 
1.1%
051-806-5866 1
 
1.1%
051-257-2049 1
 
1.1%
051-243-5875 1
 
1.1%
051-253-3484 1
 
1.1%
Other values (79) 79
87.8%
2023-12-11T01:17:51.223518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 180
16.6%
5 158
14.6%
0 153
14.1%
1 136
12.6%
2 132
12.2%
4 82
7.6%
3 58
 
5.4%
6 53
 
4.9%
7 52
 
4.8%
9 40
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 903
83.4%
Dash Punctuation 180
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 158
17.5%
0 153
16.9%
1 136
15.1%
2 132
14.6%
4 82
9.1%
3 58
 
6.4%
6 53
 
5.9%
7 52
 
5.8%
9 40
 
4.4%
8 39
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 180
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1083
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 180
16.6%
5 158
14.6%
0 153
14.1%
1 136
12.6%
2 132
12.2%
4 82
7.6%
3 58
 
5.4%
6 53
 
4.9%
7 52
 
4.8%
9 40
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1083
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 180
16.6%
5 158
14.6%
0 153
14.1%
1 136
12.6%
2 132
12.2%
4 82
7.6%
3 58
 
5.4%
6 53
 
4.9%
7 52
 
4.8%
9 40
 
3.7%

공장대표주소
Text

Distinct103
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size988.0 B
2023-12-11T01:17:51.768494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length44
Mean length34.233645
Min length18

Characters and Unicode

Total characters3663
Distinct characters123
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

Unique99 ?
Unique (%)92.5%

Sample

1st row부산광역시 서구 원양로 242 (암남동) 외 1필지
2nd row부산광역시 서구 충무대로241번길 5-16 (남부민동)
3rd row부산광역시 서구 보수대로184번길 32 (동대신동2가)
4th row부산광역시 서구 충무대로 166-47 (남부민동)
5th row부산광역시 서구 원양로 67, 해원냉장 301 (암남동)
ValueCountFrequency (%)
부산광역시 107
 
14.0%
서구 107
 
14.0%
원양로 58
 
7.6%
암남동 56
 
7.3%
1 38
 
5.0%
b동 38
 
5.0%
수산가공선진화단지 30
 
3.9%
남부민동 24
 
3.1%
3층 16
 
2.1%
a동 15
 
2.0%
Other values (181) 277
36.2%
2023-12-11T01:17:52.421943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
662
 
18.1%
동 170
 
4.6%
산 140
 
3.8%
부 137
 
3.7%
1 134
 
3.7%
구 114
 
3.1%
시 113
 
3.1%
( 109
 
3.0%
서 108
 
2.9%
) 108
 
2.9%
Other values (113) 1868
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2051
56.0%
Space Separator 662
 
18.1%
Decimal Number 566
 
15.5%
Open Punctuation 109
 
3.0%
Close Punctuation 108
 
2.9%
Other Punctuation 98
 
2.7%
Uppercase Letter 53
 
1.4%
Dash Punctuation 16
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 170
 
8.3%
산 140
 
6.8%
부 137
 
6.7%
구 114
 
5.6%
시 113
 
5.5%
서 108
 
5.3%
광 107
 
5.2%
역 107
 
5.2%
로 100
 
4.9%
남 91
 
4.4%
Other values (95) 864
42.1%
Decimal Number
ValueCountFrequency (%)
1 134
23.7%
0 83
14.7%
2 81
14.3%
4 62
11.0%
3 60
10.6%
5 52
 
9.2%
6 32
 
5.7%
7 29
 
5.1%
8 20
 
3.5%
9 13
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 96
98.0%
/ 2
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
B 38
71.7%
A 15
 
28.3%
Space Separator
ValueCountFrequency (%)
662
100.0%
Open Punctuation
ValueCountFrequency (%)
( 109
100.0%
Close Punctuation
ValueCountFrequency (%)
) 108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2051
56.0%
Common 1559
42.6%
Latin 53
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 170
 
8.3%
산 140
 
6.8%
부 137
 
6.7%
구 114
 
5.6%
시 113
 
5.5%
서 108
 
5.3%
광 107
 
5.2%
역 107
 
5.2%
로 100
 
4.9%
남 91
 
4.4%
Other values (95) 864
42.1%
Common
ValueCountFrequency (%)
662
42.5%
1 134
 
8.6%
( 109
 
7.0%
) 108
 
6.9%
, 96
 
6.2%
0 83
 
5.3%
2 81
 
5.2%
4 62
 
4.0%
3 60
 
3.8%
5 52
 
3.3%
Other values (6) 112
 
7.2%
Latin
ValueCountFrequency (%)
B 38
71.7%
A 15
 
28.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2051
56.0%
ASCII 1612
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
662
41.1%
1 134
 
8.3%
( 109
 
6.8%
) 108
 
6.7%
, 96
 
6.0%
0 83
 
5.1%
2 81
 
5.0%
4 62
 
3.8%
3 60
 
3.7%
5 52
 
3.2%
Other values (8) 165
 
10.2%
Hangul
ValueCountFrequency (%)
동 170
 
8.3%
산 140
 
6.8%
부 137
 
6.7%
구 114
 
5.6%
시 113
 
5.5%
서 108
 
5.3%
광 107
 
5.2%
역 107
 
5.2%
로 100
 
4.9%
남 91
 
4.4%
Other values (95) 864
42.1%

생산품
Text

Distinct98
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Memory size988.0 B
2023-12-11T01:17:52.745087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length18
Mean length9.3551402
Min length2

Characters and Unicode

Total characters1001
Distinct characters228
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

Unique92 ?
Unique (%)86.0%

Sample

1st row고등어구이
2nd row어군탐지기 및 위성수신장치
3rd rowLAMP
4th row인조빙
5th row명태코다리
ValueCountFrequency (%)
등 9
 
4.4%
및 6
 
3.0%
얼음 5
 
2.5%
어업용 4
 
2.0%
오징어 4
 
2.0%
간고등어 4
 
2.0%
고등어 4
 
2.0%
외 3
 
1.5%
수산물 3
 
1.5%
명란젓갈 3
 
1.5%
Other values (142) 158
77.8%
2023-12-11T01:17:53.273590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
97
 
9.7%
, 74
 
7.4%
어 65
 
6.5%
등 34
 
3.4%
고 24
 
2.4%
냉 21
 
2.1%
물 20
 
2.0%
수 20
 
2.0%
동 18
 
1.8%
장 17
 
1.7%
Other values (218) 611
61.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 802
80.1%
Space Separator 97
 
9.7%
Other Punctuation 74
 
7.4%
Open Punctuation 8
 
0.8%
Close Punctuation 8
 
0.8%
Uppercase Letter 6
 
0.6%
Lowercase Letter 4
 
0.4%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
어 65
 
8.1%
등 34
 
4.2%
고 24
 
3.0%
냉 21
 
2.6%
물 20
 
2.5%
수 20
 
2.5%
동 18
 
2.2%
장 17
 
2.1%
오 14
 
1.7%
산 14
 
1.7%
Other values (203) 555
69.2%
Uppercase Letter
ValueCountFrequency (%)
P 1
16.7%
M 1
16.7%
A 1
16.7%
L 1
16.7%
F 1
16.7%
K 1
16.7%
Lowercase Letter
ValueCountFrequency (%)
c 2
50.0%
v 1
25.0%
t 1
25.0%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
9 1
50.0%
Space Separator
ValueCountFrequency (%)
97
100.0%
Other Punctuation
ValueCountFrequency (%)
, 74
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 802
80.1%
Common 189
 
18.9%
Latin 10
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
어 65
 
8.1%
등 34
 
4.2%
고 24
 
3.0%
냉 21
 
2.6%
물 20
 
2.5%
수 20
 
2.5%
동 18
 
2.2%
장 17
 
2.1%
오 14
 
1.7%
산 14
 
1.7%
Other values (203) 555
69.2%
Latin
ValueCountFrequency (%)
c 2
20.0%
P 1
10.0%
M 1
10.0%
A 1
10.0%
L 1
10.0%
v 1
10.0%
t 1
10.0%
F 1
10.0%
K 1
10.0%
Common
ValueCountFrequency (%)
97
51.3%
, 74
39.2%
( 8
 
4.2%
) 8
 
4.2%
4 1
 
0.5%
9 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 802
80.1%
ASCII 199
 
19.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
97
48.7%
, 74
37.2%
( 8
 
4.0%
) 8
 
4.0%
c 2
 
1.0%
P 1
 
0.5%
M 1
 
0.5%
A 1
 
0.5%
L 1
 
0.5%
v 1
 
0.5%
Other values (5) 5
 
2.5%
Hangul
ValueCountFrequency (%)
어 65
 
8.1%
등 34
 
4.2%
고 24
 
3.0%
냉 21
 
2.6%
물 20
 
2.5%
수 20
 
2.5%
동 18
 
2.2%
장 17
 
2.1%
오 14
 
1.7%
산 14
 
1.7%
Other values (203) 555
69.2%

업종명
Categorical

Distinct46
Distinct (%)43.0%
Missing0
Missing (%)0.0%
Memory size988.0 B
기타 수산동물 가공 및 저장 처리업
23 
수산동물 냉동품 제조업
10 
수산동물 냉동품 제조업 외 1 종
7 
수산동물 건조 및 염장품 제조업
6 
기타 수산동물 가공 및 저장 처리업 외 1 종
6 
Other values (41)
55 

Length

Max length33
Median length25
Mean length18.934579
Min length6

Unique

Unique33 ?
Unique (%)30.8%

Sample

1st row기타 수산동물 가공 및 저장 처리업
2nd row기타 무선 통신장비 제조업 외 1 종
3rd row전구 및 램프 제조업
4th row얼음 제조업
5th row수산동물 냉동품 제조업

Common Values

ValueCountFrequency (%)
기타 수산동물 가공 및 저장 처리업 23
21.5%
수산동물 냉동품 제조업 10
 
9.3%
수산동물 냉동품 제조업 외 1 종 7
 
6.5%
수산동물 건조 및 염장품 제조업 6
 
5.6%
기타 수산동물 가공 및 저장 처리업 외 1 종 6
 
5.6%
수산동물 훈제, 조리 및 유사 조제식품 제조업 5
 
4.7%
수산동물 훈제, 조리 및 유사 조제식품 제조업 외 1 종 3
 
2.8%
얼음 제조업 3
 
2.8%
수산동물 건조 및 염장품 제조업 외 1 종 3
 
2.8%
배전반 및 전기 자동제어반 제조업 2
 
1.9%
Other values (36) 39
36.4%

Length

2023-12-11T01:17:53.427567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
및 70
 
10.8%
제조업 69
 
10.6%
수산동물 69
 
10.6%
기타 45
 
6.9%
외 45
 
6.9%
종 43
 
6.6%
가공 35
 
5.4%
저장 32
 
4.9%
처리업 32
 
4.9%
1 30
 
4.6%
Other values (77) 178
27.5%

Interactions

2023-12-11T01:17:47.427447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:17:53.512509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번팩스번호생산품업종명
순번1.0000.9300.6470.109
팩스번호0.9301.0000.9960.992
생산품0.6470.9961.0000.996
업종명0.1090.9920.9961.000
2023-12-11T01:17:53.617939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번업종명
순번1.0000.000
업종명0.0001.000

Missing values

2023-12-11T01:17:47.540461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:17:47.673537image/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.
2023-12-11T01:17:47.795929image/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

순번회사명대표자명전화번호팩스번호공장대표주소생산품업종명
01(사)부산고등어식품전략사업단이충근051-714-7140051-980-7140부산광역시 서구 원양로 242 (암남동) 외 1필지고등어구이기타 수산동물 가공 및 저장 처리업
12(유)신아종합곽차경051-241-6151051-244-2878부산광역시 서구 충무대로241번길 5-16 (남부민동)어군탐지기 및 위성수신장치기타 무선 통신장비 제조업 외 1 종
23(주)경전산업구의남051-242-2009051-241-0814부산광역시 서구 보수대로184번길 32 (동대신동2가)LAMP전구 및 램프 제조업
34(주)경해냉장지점박정호051-254-8693051-244-2828부산광역시 서구 충무대로 166-47 (남부민동)인조빙얼음 제조업
45(주)그린푸드박삼암051-263-4076051-263-4077부산광역시 서구 원양로 67, 해원냉장 301 (암남동)명태코다리수산동물 냉동품 제조업
56(주)대원정보통신최수정051-911-1400050-4099-1322부산광역시 서구 충무대로149번다길 13-1, 1층 (남부민동)cctv카메라, 방송장치 등방송장비 제조업 외 12 종
67(주)대풍수산식품김만도051-246-9110<NA>부산광역시 서구 원양로 1, B동 3층 308 (암남동)수산물(오징어,동태등)기타 수산동물 가공 및 저장 처리업
78(주)덕화푸드장종수051-265-8163051-265-8164부산광역시 서구 원양로 35, 도매시장동 3층 (암남동, 국제수산물도매시장)명란젓수산동물 건조 및 염장품 제조업
89(주)동아손창일051-245-1505051-256-5998부산광역시 서구 구덕로 155-1 (초장동)유니폼,근무복근무복, 작업복 및 유사의복 제조업 외 7 종
910(주)동아티엔씨박봉근051-242-3330<NA>부산광역시 서구 남부민로12번길 69 (남부민동)조명 및 통신장비전시 및 광고용 조명장치 제조업 외 7 종
순번회사명대표자명전화번호팩스번호공장대표주소생산품업종명
9798주식회사 합리적인푸드조용일051-256-3810051-256-3814부산광역시 서구 원양로 1, A동 5층 504 (암남동)냉동데친문어기타 수산동물 가공 및 저장 처리업 외 1 종
9899지나푸드 주시회사최영철070-7717-3213051-248-3213부산광역시 서구 원양로 1, B동 3층 305 (암남동, 수산가공선진화단지) B동 3층 305호초밥용 냉동 북방대합조개수산동물 냉동품 제조업
99100참손푸드(주)윤재현051-250-7000051-250-7027부산광역시 서구 원양로 171 (암남동)생선후라이, 수산 어획물,해물완자, 치킨너켓, 햄버거스테이크수산동물 훈제, 조리 및 유사 조제식품 제조업 외 4 종
100101한국냉열공사노세환051-241-4575051-248-7969부산광역시 서구 구덕로250번길 14-1(부용동1가)항온항습기공기 조화장치 제조업 외 1 종
101102한성종합상사이상진<NA>051-242-0011부산광역시 서구 원양로 96 (암남동)수산물냉동품,어분수산동물 냉동품 제조업 외 2 종
102103한신씨푸드강태규051-253-8295<NA>부산광역시 서구 등대로 123, 희창빌딩 504호 (남부민동)명란젓갈기타 수산동물 가공 및 저장 처리업
103104합천수산정주헌051-207-2076051-208-7638부산광역시 서구 충무대로 140, 동양섬유(주)송도지점 3층 (남부민동)오징어채, 가오리채기타 수산동물 가공 및 저장 처리업
104105해성넷 주식회사최윤정02-403-243202-403-2433부산광역시 서구 원양로 1, B동 3층 307 (암남동, 수산가공선진화단지) B동 3층 307호명란, 장어필렛, 방어필렛기타 수산동물 가공 및 저장 처리업 외 1 종
105106호원정수공업사임귀자051-246-2401051-246-2407부산광역시 서구 구덕로200번길 15 (부민동1가)공업용정수기액체 여과기 제조업
106107희창물산(주)권중천051-241-0881051-241-2434부산광역시 서구 등대로 123 (남부민동)명란맛젖,수생동물,김치수산동물 냉동품 제조업