Overview

Dataset statistics

Number of variables8
Number of observations93
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.0 KiB
Average record size in memory66.4 B

Variable types

Numeric1
Text7

Dataset

Description부산광역시 연제구 중소기업 제조업 현황(회사명, 대표자명, 업체전화번호, 팩스번호, 공장대표주소, 생산품, 업종명)를 제공합니다.
Author부산광역시 연제구
URLhttps://www.data.go.kr/data/15107553/fileData.do

Alerts

순번 has unique valuesUnique
회사명 has unique valuesUnique
대표자명 has unique valuesUnique
공장대표주소(지번) has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:26:58.235897
Analysis finished2023-12-12 20:27:00.115248
Duration1.88 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct93
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47
Minimum1
Maximum93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2023-12-13T05:27:00.210922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.6
Q124
median47
Q370
95-th percentile88.4
Maximum93
Range92
Interquartile range (IQR)46

Descriptive statistics

Standard deviation26.990739
Coefficient of variation (CV)0.57427105
Kurtosis-1.2
Mean47
Median Absolute Deviation (MAD)23
Skewness0
Sum4371
Variance728.5
MonotonicityStrictly increasing
2023-12-13T05:27:00.413434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
60 1
 
1.1%
69 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
Other values (83) 83
89.2%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
93 1
1.1%
92 1
1.1%
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%

회사명
Text

UNIQUE 

Distinct93
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-13T05:27:00.738597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length7.0430108
Min length2

Characters and Unicode

Total characters655
Distinct characters191
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

Unique93 ?
Unique (%)100.0%

Sample

1st row(주) 송림드리움
2nd row(주)강동미디어
3rd row(주)고려폴리머
4th row(주)국제비엠에스
5th row(주)대륙건설광고공사
ValueCountFrequency (%)
주식회사 12
 
10.7%
1
 
0.9%
오대토이즈 1
 
0.9%
일성테크원주식회사 1
 
0.9%
이한기술단 1
 
0.9%
이채라이팅 1
 
0.9%
유성산업(주 1
 
0.9%
월드파워 1
 
0.9%
원치과기공(주 1
 
0.9%
우정 1
 
0.9%
Other values (91) 91
81.2%
2023-12-13T05:27:01.148943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48
 
7.3%
( 33
 
5.0%
) 33
 
5.0%
25
 
3.8%
19
 
2.9%
19
 
2.9%
15
 
2.3%
15
 
2.3%
15
 
2.3%
11
 
1.7%
Other values (181) 422
64.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 560
85.5%
Open Punctuation 33
 
5.0%
Close Punctuation 33
 
5.0%
Space Separator 19
 
2.9%
Uppercase Letter 8
 
1.2%
Other Punctuation 1
 
0.2%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
48
 
8.6%
25
 
4.5%
19
 
3.4%
15
 
2.7%
15
 
2.7%
15
 
2.7%
11
 
2.0%
10
 
1.8%
10
 
1.8%
9
 
1.6%
Other values (170) 383
68.4%
Uppercase Letter
ValueCountFrequency (%)
S 2
25.0%
E 2
25.0%
T 1
12.5%
I 1
12.5%
H 1
12.5%
C 1
12.5%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 560
85.5%
Common 87
 
13.3%
Latin 8
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
48
 
8.6%
25
 
4.5%
19
 
3.4%
15
 
2.7%
15
 
2.7%
15
 
2.7%
11
 
2.0%
10
 
1.8%
10
 
1.8%
9
 
1.6%
Other values (170) 383
68.4%
Latin
ValueCountFrequency (%)
S 2
25.0%
E 2
25.0%
T 1
12.5%
I 1
12.5%
H 1
12.5%
C 1
12.5%
Common
ValueCountFrequency (%)
( 33
37.9%
) 33
37.9%
19
21.8%
& 1
 
1.1%
2 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 560
85.5%
ASCII 95
 
14.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
48
 
8.6%
25
 
4.5%
19
 
3.4%
15
 
2.7%
15
 
2.7%
15
 
2.7%
11
 
2.0%
10
 
1.8%
10
 
1.8%
9
 
1.6%
Other values (170) 383
68.4%
ASCII
ValueCountFrequency (%)
( 33
34.7%
) 33
34.7%
19
20.0%
S 2
 
2.1%
E 2
 
2.1%
T 1
 
1.1%
& 1
 
1.1%
I 1
 
1.1%
H 1
 
1.1%
C 1
 
1.1%

대표자명
Text

UNIQUE 

Distinct93
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-13T05:27:01.503269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.1290323
Min length2

Characters and Unicode

Total characters291
Distinct characters104
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

Unique93 ?
Unique (%)100.0%

Sample

1st row김한술
2nd row이상윤
3rd row조정환
4th row김성수
5th row김화연
ValueCountFrequency (%)
김한술 1
 
1.1%
오동수 1
 
1.1%
김창용 1
 
1.1%
이정 1
 
1.1%
현정미 1
 
1.1%
유영조 1
 
1.1%
김철구 1
 
1.1%
이도찬 1
 
1.1%
추종인 1
 
1.1%
박재홍 1
 
1.1%
Other values (85) 85
89.5%
2023-12-13T05:27:02.008398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
 
7.6%
13
 
4.5%
10
 
3.4%
10
 
3.4%
9
 
3.1%
8
 
2.7%
7
 
2.4%
7
 
2.4%
7
 
2.4%
7
 
2.4%
Other values (94) 191
65.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 287
98.6%
Other Punctuation 2
 
0.7%
Space Separator 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
22
 
7.7%
13
 
4.5%
10
 
3.5%
10
 
3.5%
9
 
3.1%
8
 
2.8%
7
 
2.4%
7
 
2.4%
7
 
2.4%
7
 
2.4%
Other values (92) 187
65.2%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 287
98.6%
Common 4
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
22
 
7.7%
13
 
4.5%
10
 
3.5%
10
 
3.5%
9
 
3.1%
8
 
2.8%
7
 
2.4%
7
 
2.4%
7
 
2.4%
7
 
2.4%
Other values (92) 187
65.2%
Common
ValueCountFrequency (%)
, 2
50.0%
2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 287
98.6%
ASCII 4
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
22
 
7.7%
13
 
4.5%
10
 
3.5%
10
 
3.5%
9
 
3.1%
8
 
2.8%
7
 
2.4%
7
 
2.4%
7
 
2.4%
7
 
2.4%
Other values (92) 187
65.2%
ASCII
ValueCountFrequency (%)
, 2
50.0%
2
50.0%
Distinct87
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-13T05:27:02.245079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.27957
Min length2

Characters and Unicode

Total characters1049
Distinct characters13
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

Unique86 ?
Unique (%)92.5%

Sample

1st row051-862-8170
2nd row051-864-6500
3rd row051-644-8877
4th row051-852-4517
5th row051-867-9999
ValueCountFrequency (%)
없음 7
 
7.5%
051-504-8422 1
 
1.1%
051-759-9213 1
 
1.1%
051-925-1514 1
 
1.1%
051-752-7771 1
 
1.1%
051-751-5520 1
 
1.1%
051-866-3016 1
 
1.1%
051-522-7278 1
 
1.1%
051-852-2950 1
 
1.1%
051-862-1283 1
 
1.1%
Other values (77) 77
82.8%
2023-12-13T05:27:02.899568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 172
16.4%
5 166
15.8%
0 153
14.6%
1 133
12.7%
8 87
8.3%
6 76
7.2%
2 71
6.8%
7 50
 
4.8%
3 46
 
4.4%
4 45
 
4.3%
Other values (3) 50
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 863
82.3%
Dash Punctuation 172
 
16.4%
Other Letter 14
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 166
19.2%
0 153
17.7%
1 133
15.4%
8 87
10.1%
6 76
8.8%
2 71
8.2%
7 50
 
5.8%
3 46
 
5.3%
4 45
 
5.2%
9 36
 
4.2%
Other Letter
ValueCountFrequency (%)
7
50.0%
7
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 172
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1035
98.7%
Hangul 14
 
1.3%

Most frequent character per script

Common
ValueCountFrequency (%)
- 172
16.6%
5 166
16.0%
0 153
14.8%
1 133
12.9%
8 87
8.4%
6 76
7.3%
2 71
6.9%
7 50
 
4.8%
3 46
 
4.4%
4 45
 
4.3%
Hangul
ValueCountFrequency (%)
7
50.0%
7
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1035
98.7%
Hangul 14
 
1.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 172
16.6%
5 166
16.0%
0 153
14.8%
1 133
12.9%
8 87
8.4%
6 76
7.3%
2 71
6.9%
7 50
 
4.8%
3 46
 
4.4%
4 45
 
4.3%
Hangul
ValueCountFrequency (%)
7
50.0%
7
50.0%
Distinct81
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-13T05:27:03.167888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.774194
Min length2

Characters and Unicode

Total characters1002
Distinct characters13
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

Unique79 ?
Unique (%)84.9%

Sample

1st row051-862-8174
2nd row051-853-8444
3rd row051-644-8897
4th row051-852-4519
5th row없음
ValueCountFrequency (%)
없음 12
 
12.9%
051-867-0289 2
 
2.2%
051-861-2228 1
 
1.1%
051-862-6488 1
 
1.1%
051-759-8429 1
 
1.1%
051-925-1515 1
 
1.1%
051-752-7726 1
 
1.1%
051-751-5521 1
 
1.1%
051-864-7657 1
 
1.1%
051-861-5298 1
 
1.1%
Other values (71) 71
76.3%
2023-12-13T05:27:03.555084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 164
16.4%
- 162
16.2%
0 130
13.0%
1 123
12.3%
6 83
8.3%
8 79
7.9%
2 70
7.0%
4 49
 
4.9%
9 42
 
4.2%
7 38
 
3.8%
Other values (3) 62
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 816
81.4%
Dash Punctuation 162
 
16.2%
Other Letter 24
 
2.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 164
20.1%
0 130
15.9%
1 123
15.1%
6 83
10.2%
8 79
9.7%
2 70
8.6%
4 49
 
6.0%
9 42
 
5.1%
7 38
 
4.7%
3 38
 
4.7%
Other Letter
ValueCountFrequency (%)
12
50.0%
12
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 162
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 978
97.6%
Hangul 24
 
2.4%

Most frequent character per script

Common
ValueCountFrequency (%)
5 164
16.8%
- 162
16.6%
0 130
13.3%
1 123
12.6%
6 83
8.5%
8 79
8.1%
2 70
7.2%
4 49
 
5.0%
9 42
 
4.3%
7 38
 
3.9%
Hangul
ValueCountFrequency (%)
12
50.0%
12
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 978
97.6%
Hangul 24
 
2.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 164
16.8%
- 162
16.6%
0 130
13.3%
1 123
12.6%
6 83
8.5%
8 79
8.1%
2 70
7.2%
4 49
 
5.0%
9 42
 
4.3%
7 38
 
3.9%
Hangul
ValueCountFrequency (%)
12
50.0%
12
50.0%
Distinct93
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-13T05:27:03.847429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length37
Mean length24.397849
Min length17

Characters and Unicode

Total characters2269
Distinct characters67
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)100.0%

Sample

1st row부산광역시 연제구 연산동 1024-1번지 외 1필지
2nd row부산광역시 연제구 거제동 581-3번지 한신상가 3층
3rd row부산광역시 연제구 거제동 739-11번지
4th row부산광역시 연제구 연산동 57-51번지
5th row부산광역시 연제구 연산동 104-36 연산동 104-36번지
ValueCountFrequency (%)
부산광역시 92
20.9%
연제구 92
20.9%
연산동 53
 
12.0%
거제동 35
 
8.0%
2층 8
 
1.8%
3층 7
 
1.6%
1층 4
 
0.9%
지하1층 4
 
0.9%
301호 3
 
0.7%
740-484 2
 
0.5%
Other values (131) 140
31.8%
2023-12-13T05:27:04.339812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
348
 
15.3%
149
 
6.6%
149
 
6.6%
134
 
5.9%
1 116
 
5.1%
100
 
4.4%
- 94
 
4.1%
92
 
4.1%
92
 
4.1%
92
 
4.1%
Other values (57) 903
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1296
57.1%
Decimal Number 523
23.0%
Space Separator 348
 
15.3%
Dash Punctuation 94
 
4.1%
Uppercase Letter 5
 
0.2%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
149
11.5%
149
11.5%
134
10.3%
100
7.7%
92
7.1%
92
7.1%
92
7.1%
92
7.1%
92
7.1%
78
 
6.0%
Other values (42) 226
17.4%
Decimal Number
ValueCountFrequency (%)
1 116
22.2%
3 62
11.9%
2 57
10.9%
4 57
10.9%
0 56
10.7%
5 47
9.0%
8 39
 
7.5%
7 38
 
7.3%
6 34
 
6.5%
9 17
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
B 4
80.0%
D 1
 
20.0%
Space Separator
ValueCountFrequency (%)
348
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1296
57.1%
Common 968
42.7%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
149
11.5%
149
11.5%
134
10.3%
100
7.7%
92
7.1%
92
7.1%
92
7.1%
92
7.1%
92
7.1%
78
 
6.0%
Other values (42) 226
17.4%
Common
ValueCountFrequency (%)
348
36.0%
1 116
 
12.0%
- 94
 
9.7%
3 62
 
6.4%
2 57
 
5.9%
4 57
 
5.9%
0 56
 
5.8%
5 47
 
4.9%
8 39
 
4.0%
7 38
 
3.9%
Other values (3) 54
 
5.6%
Latin
ValueCountFrequency (%)
B 4
80.0%
D 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1296
57.1%
ASCII 973
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
348
35.8%
1 116
 
11.9%
- 94
 
9.7%
3 62
 
6.4%
2 57
 
5.9%
4 57
 
5.9%
0 56
 
5.8%
5 47
 
4.8%
8 39
 
4.0%
7 38
 
3.9%
Other values (5) 59
 
6.1%
Hangul
ValueCountFrequency (%)
149
11.5%
149
11.5%
134
10.3%
100
7.7%
92
7.1%
92
7.1%
92
7.1%
92
7.1%
92
7.1%
78
 
6.0%
Other values (42) 226
17.4%
Distinct89
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-13T05:27:04.647575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length23
Mean length11.784946
Min length2

Characters and Unicode

Total characters1096
Distinct characters210
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

Unique86 ?
Unique (%)92.5%

Sample

1st row커튼
2nd row비디오 및 기타 영상기기
3rd row광고물, 금속가공제품
4th row자동제어반
5th row간판 및 광고물 제조
ValueCountFrequency (%)
10
 
5.2%
영상감시장치 6
 
3.1%
6
 
3.1%
방송장비 6
 
3.1%
광고물 5
 
2.6%
간판 4
 
2.1%
인쇄 4
 
2.1%
의류 3
 
1.6%
의복 3
 
1.6%
현수막 3
 
1.6%
Other values (127) 141
73.8%
2023-12-13T05:27:05.059781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
99
 
9.0%
, 77
 
7.0%
52
 
4.7%
38
 
3.5%
26
 
2.4%
21
 
1.9%
21
 
1.9%
21
 
1.9%
17
 
1.6%
16
 
1.5%
Other values (200) 708
64.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 839
76.6%
Space Separator 99
 
9.0%
Other Punctuation 81
 
7.4%
Uppercase Letter 45
 
4.1%
Close Punctuation 13
 
1.2%
Open Punctuation 13
 
1.2%
Lowercase Letter 6
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
52
 
6.2%
38
 
4.5%
26
 
3.1%
21
 
2.5%
21
 
2.5%
21
 
2.5%
17
 
2.0%
16
 
1.9%
15
 
1.8%
15
 
1.8%
Other values (178) 597
71.2%
Uppercase Letter
ValueCountFrequency (%)
C 16
35.6%
V 7
15.6%
T 6
 
13.3%
L 4
 
8.9%
D 3
 
6.7%
E 2
 
4.4%
P 1
 
2.2%
A 1
 
2.2%
M 1
 
2.2%
O 1
 
2.2%
Other values (3) 3
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
n 2
33.3%
i 1
16.7%
g 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 77
95.1%
/ 4
 
4.9%
Space Separator
ValueCountFrequency (%)
99
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 839
76.6%
Common 206
 
18.8%
Latin 51
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
52
 
6.2%
38
 
4.5%
26
 
3.1%
21
 
2.5%
21
 
2.5%
21
 
2.5%
17
 
2.0%
16
 
1.9%
15
 
1.8%
15
 
1.8%
Other values (178) 597
71.2%
Latin
ValueCountFrequency (%)
C 16
31.4%
V 7
13.7%
T 6
 
11.8%
L 4
 
7.8%
D 3
 
5.9%
e 2
 
3.9%
n 2
 
3.9%
E 2
 
3.9%
P 1
 
2.0%
A 1
 
2.0%
Other values (7) 7
13.7%
Common
ValueCountFrequency (%)
99
48.1%
, 77
37.4%
) 13
 
6.3%
( 13
 
6.3%
/ 4
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 839
76.6%
ASCII 257
 
23.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
99
38.5%
, 77
30.0%
C 16
 
6.2%
) 13
 
5.1%
( 13
 
5.1%
V 7
 
2.7%
T 6
 
2.3%
L 4
 
1.6%
/ 4
 
1.6%
D 3
 
1.2%
Other values (12) 15
 
5.8%
Hangul
ValueCountFrequency (%)
52
 
6.2%
38
 
4.5%
26
 
3.1%
21
 
2.5%
21
 
2.5%
21
 
2.5%
17
 
2.0%
16
 
1.9%
15
 
1.8%
15
 
1.8%
Other values (178) 597
71.2%
Distinct84
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-13T05:27:05.413144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length17.16129
Min length7

Characters and Unicode

Total characters1596
Distinct characters151
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)82.8%

Sample

1st row커튼 및 유사제품 제조업
2nd row비디오 및 기타 영상기기 제조업 외 2 종
3rd row간판 및 광고물 제조업 외 11 종
4th row배전반 및 전기 자동제어반 제조업
5th row간판 및 광고물 제조업 외 8 종
ValueCountFrequency (%)
제조업 84
15.5%
66
 
12.2%
62
 
11.4%
49
 
9.0%
1 21
 
3.9%
기타 13
 
2.4%
통신장비 11
 
2.0%
유선 11
 
2.0%
2 10
 
1.8%
광고물 7
 
1.3%
Other values (129) 208
38.4%
2023-12-13T05:27:05.920917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
449
28.1%
100
 
6.3%
99
 
6.2%
92
 
5.8%
67
 
4.2%
66
 
4.1%
51
 
3.2%
48
 
3.0%
1 32
 
2.0%
29
 
1.8%
Other values (141) 563
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1067
66.9%
Space Separator 449
28.1%
Decimal Number 73
 
4.6%
Other Punctuation 7
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
100
 
9.4%
99
 
9.3%
92
 
8.6%
67
 
6.3%
66
 
6.2%
51
 
4.8%
48
 
4.5%
29
 
2.7%
24
 
2.2%
19
 
1.8%
Other values (129) 472
44.2%
Decimal Number
ValueCountFrequency (%)
1 32
43.8%
2 12
 
16.4%
5 6
 
8.2%
3 5
 
6.8%
4 5
 
6.8%
9 3
 
4.1%
6 3
 
4.1%
8 3
 
4.1%
7 2
 
2.7%
0 2
 
2.7%
Space Separator
ValueCountFrequency (%)
449
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1067
66.9%
Common 529
33.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
100
 
9.4%
99
 
9.3%
92
 
8.6%
67
 
6.3%
66
 
6.2%
51
 
4.8%
48
 
4.5%
29
 
2.7%
24
 
2.2%
19
 
1.8%
Other values (129) 472
44.2%
Common
ValueCountFrequency (%)
449
84.9%
1 32
 
6.0%
2 12
 
2.3%
, 7
 
1.3%
5 6
 
1.1%
3 5
 
0.9%
4 5
 
0.9%
9 3
 
0.6%
6 3
 
0.6%
8 3
 
0.6%
Other values (2) 4
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1066
66.8%
ASCII 529
33.1%
Compat Jamo 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
449
84.9%
1 32
 
6.0%
2 12
 
2.3%
, 7
 
1.3%
5 6
 
1.1%
3 5
 
0.9%
4 5
 
0.9%
9 3
 
0.6%
6 3
 
0.6%
8 3
 
0.6%
Other values (2) 4
 
0.8%
Hangul
ValueCountFrequency (%)
100
 
9.4%
99
 
9.3%
92
 
8.6%
67
 
6.3%
66
 
6.2%
51
 
4.8%
48
 
4.5%
29
 
2.7%
24
 
2.3%
19
 
1.8%
Other values (128) 471
44.2%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

Interactions

2023-12-13T05:26:59.717595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:27:06.024566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번회사명대표자명전화번호팩스번호공장대표주소(지번)생산품업종명
순번1.0001.0001.0000.6520.4431.0000.8770.659
회사명1.0001.0001.0001.0001.0001.0001.0001.000
대표자명1.0001.0001.0001.0001.0001.0001.0001.000
전화번호0.6521.0001.0001.0000.9941.0000.9970.838
팩스번호0.4431.0001.0000.9941.0001.0000.9800.915
공장대표주소(지번)1.0001.0001.0001.0001.0001.0001.0001.000
생산품0.8771.0001.0000.9970.9801.0001.0000.994
업종명0.6591.0001.0000.8380.9151.0000.9941.000

Missing values

2023-12-13T05:26:59.870223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:27:00.038547image/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

순번회사명대표자명전화번호팩스번호공장대표주소(지번)생산품업종명
01(주) 송림드리움김한술051-862-8170051-862-8174부산광역시 연제구 연산동 1024-1번지 외 1필지커튼커튼 및 유사제품 제조업
12(주)강동미디어이상윤051-864-6500051-853-8444부산광역시 연제구 거제동 581-3번지 한신상가 3층비디오 및 기타 영상기기비디오 및 기타 영상기기 제조업 외 2 종
23(주)고려폴리머조정환051-644-8877051-644-8897부산광역시 연제구 거제동 739-11번지광고물, 금속가공제품간판 및 광고물 제조업 외 11 종
34(주)국제비엠에스김성수051-852-4517051-852-4519부산광역시 연제구 연산동 57-51번지자동제어반배전반 및 전기 자동제어반 제조업
45(주)대륙건설광고공사김화연051-867-9999없음부산광역시 연제구 연산동 104-36 연산동 104-36번지간판 및 광고물 제조간판 및 광고물 제조업 외 8 종
56(주)동성지기정두현051-852-7321051-866-2375부산광역시 연제구 연산제5동 1124-8번지종이제조포장용판지상자및기타종이용기제조업
67(주)동인산업김형도051-863-5983051-867-0289부산광역시 연제구 연산동 305-12번지위생용종이, 부직포, 펠트제품위생용 종이제품 제조업 외 2 종
78(주)부경테크김인숙051-865-1417051-865-9399부산광역시 연제구 연산동 475-23산업용수처리기계, 정수기그 외 기타 전기장비 제조업 외 1 종
89(주)세광 2공장엄세현051-556-1730051-556-1732부산광역시 연제구 연산동 1849-14태양광 발전세트, 태양전지(완제품), 각파이프, 무대조명장치전동기 및 발전기 제조업 외 5 종
910(주)신승시스템김성규051-507-6031051-507-6034부산광역시 연제구 거제동 76-22번지산소,질소,마취가스메니폴드그 외 기타 의료용 기기 제조업 외 2 종
순번회사명대표자명전화번호팩스번호공장대표주소(지번)생산품업종명
8384태광물산(주)임재경051-866-8111051-851-3022부산광역시 연제구 연산동 1141-4번지가정제품용 스위치류전기회로 개폐, 보호장치 제조업 외 1 종
8485하이눈정보통신방호영051-866-0377없음부산광역시 연제구 거제동 23-10번지비디오및기타영상기기제조업비디오 및 기타 영상기기 제조업 외 3 종
8586하이콤 주식회사현원태051-638-3500051-638-5300부산광역시 연제구 연산동 397-6번지 3층감시카메라(CCTV), 영상감시장치, 방송장비, 기타주변기기유선 통신장비 제조업 외 16 종
8687한울정보시스템천명재051-852-9005051-852-9006부산광역시 연제구 연산동 342-41번지 청마 1층 가호방송장비, 통신장비, 영상감시장치 등유선 통신장비 제조업 외 4 종
8788해동그린파워펌프안재권051-863-3600051-861-6666부산광역시 연제구 거제동17-33번지펌프액체 펌프 제조업 외 1 종
8889현대미디어정문양051-868-2022없음부산광역시 연제구 연산동 685-9번지방송장비 등방송및무선통신기기제조업 외 9 종
8990형제흑판사장영상051-864-7802051-863-2688부산광역시 연제구 거제1동 1-18번지문구용 화이트보드, 칠판사무 및 회화용품 제조업 외 1 종
9091혜정섬유정숙희051-504-2806051-503-2806부산광역시 연제구 거제동 887-3 지하1층의류섬유제품 기타 정리 및 마무리 가공업
9192화성아이티주식회사장민환051-852-9690051-852-9692부산광역시 연제구 거제동 740-55 302호보안용카메라, 영상감시장치, 출입통제시스템, 스피커방송장비 제조업 외 1 종
9293휴먼코어젠주식회사박동관없음050-4064-2625부산광역시 연제구 연산동 1135-86인체 보조기, 착용형 외발 의자, 펫 브러시비 및 솔 제조업 외 2 종