Overview

Dataset statistics

Number of variables8
Number of observations139
Missing cells15
Missing cells (%)1.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.0 KiB
Average record size in memory65.9 B

Variable types

Numeric1
Text7

Dataset

Description하동근 공장등록현황에 대한 데이터로 하동군 회사명, 대표자명, 전화번호, 팩스번호, 공장대표주소, 업종명, 생산품 등의 항목을 제공합니다.
Author경상남도 하동군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15036755

Alerts

전화번호 has 15 (10.8%) missing valuesMissing
순번 has unique valuesUnique
회사명 has unique valuesUnique

Reproduction

Analysis started2023-08-15 03:57:15.488356
Analysis finished2023-08-15 03:57:17.601407
Duration2.11 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct139
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70
Minimum1
Maximum139
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-08-15T12:57:17.719302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.9
Q135.5
median70
Q3104.5
95-th percentile132.1
Maximum139
Range138
Interquartile range (IQR)69

Descriptive statistics

Standard deviation40.269923
Coefficient of variation (CV)0.57528461
Kurtosis-1.2
Mean70
Median Absolute Deviation (MAD)35
Skewness0
Sum9730
Variance1621.6667
MonotonicityStrictly increasing
2023-08-15T12:57:18.013829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
97 1
 
0.7%
91 1
 
0.7%
92 1
 
0.7%
93 1
 
0.7%
94 1
 
0.7%
95 1
 
0.7%
96 1
 
0.7%
98 1
 
0.7%
89 1
 
0.7%
Other values (129) 129
92.8%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
139 1
0.7%
138 1
0.7%
137 1
0.7%
136 1
0.7%
135 1
0.7%
134 1
0.7%
133 1
0.7%
132 1
0.7%
131 1
0.7%
130 1
0.7%

회사명
Text

UNIQUE 

Distinct139
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-08-15T12:57:18.520220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length8.294964
Min length3

Characters and Unicode

Total characters1153
Distinct characters209
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

Unique139 ?
Unique (%)100.0%

Sample

1st row(재)하동녹차연구소 가공2공장
2nd row(재)하동녹차연구소 가공3공장
3rd row(재)하동녹차연구소 가공공장
4th row(주) 정옥
5th row(주)금륜
ValueCountFrequency (%)
주식회사 16
 
8.7%
농업회사법인 10
 
5.4%
2공장 4
 
2.2%
재)하동녹차연구소 3
 
1.6%
나노라인 2
 
1.1%
하동섬진강재첩수산 2
 
1.1%
햇차원 2
 
1.1%
주)금오레미콘 2
 
1.1%
영농조합법인 2
 
1.1%
화개농협제다 2
 
1.1%
Other values (139) 139
75.5%
2023-08-15T12:57:19.217710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 70
 
6.1%
( 52
 
4.5%
) 52
 
4.5%
45
 
3.9%
사 39
 
3.4%
동 34
 
2.9%
회 33
 
2.9%
식 29
 
2.5%
업 29
 
2.5%
농 27
 
2.3%
Other values (199) 743
64.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 984
85.3%
Open Punctuation 52
 
4.5%
Close Punctuation 52
 
4.5%
Space Separator 45
 
3.9%
Decimal Number 8
 
0.7%
Uppercase Letter 6
 
0.5%
Lowercase Letter 4
 
0.3%
Other Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 70
 
7.1%
사 39
 
4.0%
동 34
 
3.5%
회 33
 
3.4%
식 29
 
2.9%
업 29
 
2.9%
농 27
 
2.7%
산 26
 
2.6%
인 24
 
2.4%
법 22
 
2.2%
Other values (184) 651
66.2%
Uppercase Letter
ValueCountFrequency (%)
B 2
33.3%
T 1
16.7%
A 1
16.7%
S 1
16.7%
M 1
16.7%
Lowercase Letter
ValueCountFrequency (%)
l 2
50.0%
e 1
25.0%
w 1
25.0%
Decimal Number
ValueCountFrequency (%)
2 7
87.5%
3 1
 
12.5%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Space Separator
ValueCountFrequency (%)
45
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 984
85.3%
Common 159
 
13.8%
Latin 10
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 70
 
7.1%
사 39
 
4.0%
동 34
 
3.5%
회 33
 
3.4%
식 29
 
2.9%
업 29
 
2.9%
농 27
 
2.7%
산 26
 
2.6%
인 24
 
2.4%
법 22
 
2.2%
Other values (184) 651
66.2%
Latin
ValueCountFrequency (%)
l 2
20.0%
B 2
20.0%
T 1
10.0%
A 1
10.0%
S 1
10.0%
M 1
10.0%
e 1
10.0%
w 1
10.0%
Common
ValueCountFrequency (%)
( 52
32.7%
) 52
32.7%
45
28.3%
2 7
 
4.4%
& 1
 
0.6%
3 1
 
0.6%
- 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 984
85.3%
ASCII 169
 
14.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 70
 
7.1%
사 39
 
4.0%
동 34
 
3.5%
회 33
 
3.4%
식 29
 
2.9%
업 29
 
2.9%
농 27
 
2.7%
산 26
 
2.6%
인 24
 
2.4%
법 22
 
2.2%
Other values (184) 651
66.2%
ASCII
ValueCountFrequency (%)
( 52
30.8%
) 52
30.8%
45
26.6%
2 7
 
4.1%
l 2
 
1.2%
B 2
 
1.2%
T 1
 
0.6%
& 1
 
0.6%
A 1
 
0.6%
3 1
 
0.6%
Other values (5) 5
 
3.0%

대표자명
Text

Distinct128
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-08-15T12:57:19.778502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.1151079
Min length2

Characters and Unicode

Total characters433
Distinct characters109
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

Unique119 ?
Unique (%)85.6%

Sample

1st row황인후
2nd row황인후
3rd row황인후
4th row추호진
5th row김옥례
ValueCountFrequency (%)
황인후 3
 
2.1%
김복환 3
 
2.1%
한춘식 2
 
1.4%
라은주 2
 
1.4%
이기남 2
 
1.4%
이명환 2
 
1.4%
조효봉 2
 
1.4%
김종수 2
 
1.4%
김동곤 2
 
1.4%
이영환 1
 
0.7%
Other values (123) 123
85.4%
2023-08-15T12:57:20.586222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 38
 
8.8%
이 26
 
6.0%
정 26
 
6.0%
영 13
 
3.0%
수 11
 
2.5%
윤 9
 
2.1%
강 9
 
2.1%
환 8
 
1.8%
경 8
 
1.8%
석 7
 
1.6%
Other values (99) 278
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 425
98.2%
Space Separator 5
 
1.2%
Other Punctuation 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 38
 
8.9%
이 26
 
6.1%
정 26
 
6.1%
영 13
 
3.1%
수 11
 
2.6%
윤 9
 
2.1%
강 9
 
2.1%
환 8
 
1.9%
경 8
 
1.9%
석 7
 
1.6%
Other values (97) 270
63.5%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 425
98.2%
Common 8
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 38
 
8.9%
이 26
 
6.1%
정 26
 
6.1%
영 13
 
3.1%
수 11
 
2.6%
윤 9
 
2.1%
강 9
 
2.1%
환 8
 
1.9%
경 8
 
1.9%
석 7
 
1.6%
Other values (97) 270
63.5%
Common
ValueCountFrequency (%)
5
62.5%
, 3
37.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 425
98.2%
ASCII 8
 
1.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 38
 
8.9%
이 26
 
6.1%
정 26
 
6.1%
영 13
 
3.1%
수 11
 
2.6%
윤 9
 
2.1%
강 9
 
2.1%
환 8
 
1.9%
경 8
 
1.9%
석 7
 
1.6%
Other values (97) 270
63.5%
ASCII
ValueCountFrequency (%)
5
62.5%
, 3
37.5%

전화번호
Text

MISSING 

Distinct112
Distinct (%)90.3%
Missing15
Missing (%)10.8%
Memory size1.2 KiB
2023-08-15T12:57:21.097930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1488
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 (%)83.1%

Sample

1st row_055_8831206
2nd row_055_8831206
3rd row_055_8827465
4th row_055_8840693
5th row_055_8838001
ValueCountFrequency (%)
5
 
4.0%
055_8826771 2
 
1.6%
055_8847301 2
 
1.6%
055_8823017 2
 
1.6%
055_8833212 2
 
1.6%
055_8840094 2
 
1.6%
055_8838341 2
 
1.6%
055_8838001 2
 
1.6%
055_8831206 2
 
1.6%
055_8843272 1
 
0.8%
Other values (102) 102
82.3%
2023-08-15T12:57:21.848169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
_ 302
20.3%
5 277
18.6%
8 257
17.3%
0 197
13.2%
3 92
 
6.2%
2 86
 
5.8%
4 72
 
4.8%
1 69
 
4.6%
7 59
 
4.0%
6 46
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1186
79.7%
Connector Punctuation 302
 
20.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 277
23.4%
8 257
21.7%
0 197
16.6%
3 92
 
7.8%
2 86
 
7.3%
4 72
 
6.1%
1 69
 
5.8%
7 59
 
5.0%
6 46
 
3.9%
9 31
 
2.6%
Connector Punctuation
ValueCountFrequency (%)
_ 302
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1488
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
_ 302
20.3%
5 277
18.6%
8 257
17.3%
0 197
13.2%
3 92
 
6.2%
2 86
 
5.8%
4 72
 
4.8%
1 69
 
4.6%
7 59
 
4.0%
6 46
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1488
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
_ 302
20.3%
5 277
18.6%
8 257
17.3%
0 197
13.2%
3 92
 
6.2%
2 86
 
5.8%
4 72
 
4.8%
1 69
 
4.6%
7 59
 
4.0%
6 46
 
3.1%

팩스번호
Text

Distinct79
Distinct (%)56.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-08-15T12:57:22.265530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1668
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

Unique73 ?
Unique (%)52.5%

Sample

1st row_055_8841599
2nd row_01086650460
3rd row_055_8842402
4th row_055_8827466
5th row_055_8840680
ValueCountFrequency (%)
55
39.6%
055 3
 
2.2%
02 2
 
1.4%
055_8823016 2
 
1.4%
055_8847305 2
 
1.4%
055_8820048 2
 
1.4%
055_8845358 1
 
0.7%
055_8839493 1
 
0.7%
055_8839858 1
 
0.7%
055_8840786 1
 
0.7%
Other values (69) 69
49.6%
2023-08-15T12:57:23.096239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
_ 864
51.8%
8 182
 
10.9%
5 180
 
10.8%
0 128
 
7.7%
3 71
 
4.3%
4 51
 
3.1%
2 49
 
2.9%
1 42
 
2.5%
6 40
 
2.4%
7 40
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Connector Punctuation 864
51.8%
Decimal Number 804
48.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 182
22.6%
5 180
22.4%
0 128
15.9%
3 71
 
8.8%
4 51
 
6.3%
2 49
 
6.1%
1 42
 
5.2%
6 40
 
5.0%
7 40
 
5.0%
9 21
 
2.6%
Connector Punctuation
ValueCountFrequency (%)
_ 864
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1668
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
_ 864
51.8%
8 182
 
10.9%
5 180
 
10.8%
0 128
 
7.7%
3 71
 
4.3%
4 51
 
3.1%
2 49
 
2.9%
1 42
 
2.5%
6 40
 
2.4%
7 40
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1668
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
_ 864
51.8%
8 182
 
10.9%
5 180
 
10.8%
0 128
 
7.7%
3 71
 
4.3%
4 51
 
3.1%
2 49
 
2.9%
1 42
 
2.5%
6 40
 
2.4%
7 40
 
2.4%

공장대표주소
Text

Distinct135
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-08-15T12:57:23.656442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length32
Mean length24.05036
Min length19

Characters and Unicode

Total characters3343
Distinct characters169
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique131 ?
Unique (%)94.2%

Sample

1st row경상남도 하동군 화개면 영당2길 26
2nd row경상남도 하동군 하동읍 섬진강대로 2492
3rd row경상남도 하동군 화개면 영당2길 28
4th row경상남도 하동군 양보면 진양로 1092
5th row경상남도 하동군 금성면 경제산업로 507-80
ValueCountFrequency (%)
경상남도 139
18.8%
하동군 139
18.8%
진교면 23
 
3.1%
화개면 22
 
3.0%
하동읍 16
 
2.2%
악양면 15
 
2.0%
섬진강대로 14
 
1.9%
고전면 13
 
1.8%
금남면 11
 
1.5%
적량면 11
 
1.5%
Other values (232) 337
45.5%
2023-08-15T12:57:24.604059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
602
18.0%
동 168
 
5.0%
하 158
 
4.7%
남 155
 
4.6%
경 145
 
4.3%
도 144
 
4.3%
상 141
 
4.2%
군 139
 
4.2%
면 125
 
3.7%
2 84
 
2.5%
Other values (159) 1482
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2080
62.2%
Space Separator 602
 
18.0%
Decimal Number 496
 
14.8%
Dash Punctuation 69
 
2.1%
Open Punctuation 45
 
1.3%
Close Punctuation 45
 
1.3%
Uppercase Letter 4
 
0.1%
Other Punctuation 1
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 168
 
8.1%
하 158
 
7.6%
남 155
 
7.5%
경 145
 
7.0%
도 144
 
6.9%
상 141
 
6.8%
군 139
 
6.7%
면 125
 
6.0%
로 70
 
3.4%
길 56
 
2.7%
Other values (139) 779
37.5%
Decimal Number
ValueCountFrequency (%)
2 84
16.9%
1 67
13.5%
3 60
12.1%
6 55
11.1%
4 49
9.9%
5 45
9.1%
8 36
7.3%
9 34
6.9%
7 33
 
6.7%
0 33
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
K 1
25.0%
G 1
25.0%
M 1
25.0%
I 1
25.0%
Space Separator
ValueCountFrequency (%)
602
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2081
62.2%
Common 1258
37.6%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 168
 
8.1%
하 158
 
7.6%
남 155
 
7.4%
경 145
 
7.0%
도 144
 
6.9%
상 141
 
6.8%
군 139
 
6.7%
면 125
 
6.0%
로 70
 
3.4%
길 56
 
2.7%
Other values (140) 780
37.5%
Common
ValueCountFrequency (%)
602
47.9%
2 84
 
6.7%
- 69
 
5.5%
1 67
 
5.3%
3 60
 
4.8%
6 55
 
4.4%
4 49
 
3.9%
( 45
 
3.6%
) 45
 
3.6%
5 45
 
3.6%
Other values (5) 137
 
10.9%
Latin
ValueCountFrequency (%)
K 1
25.0%
G 1
25.0%
M 1
25.0%
I 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2080
62.2%
ASCII 1262
37.8%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
602
47.7%
2 84
 
6.7%
- 69
 
5.5%
1 67
 
5.3%
3 60
 
4.8%
6 55
 
4.4%
4 49
 
3.9%
( 45
 
3.6%
) 45
 
3.6%
5 45
 
3.6%
Other values (9) 141
 
11.2%
Hangul
ValueCountFrequency (%)
동 168
 
8.1%
하 158
 
7.6%
남 155
 
7.5%
경 145
 
7.0%
도 144
 
6.9%
상 141
 
6.8%
군 139
 
6.7%
면 125
 
6.0%
로 70
 
3.4%
길 56
 
2.7%
Other values (139) 779
37.5%
None
ValueCountFrequency (%)
㈜ 1
100.0%

업종명
Text

Distinct74
Distinct (%)53.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-08-15T12:57:25.443545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length14.223022
Min length6

Characters and Unicode

Total characters1977
Distinct characters177
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

Unique51 ?
Unique (%)36.7%

Sample

1st row차류 가공업
2nd row차류 가공업
3rd row차류 가공업
4th row수산동물 훈제, 조리 및 유사 조제식품 제조업
5th row비금속류 해체 및 선별업 외 1 종
ValueCountFrequency (%)
제조업 84
 
12.9%
및 49
 
7.6%
외 48
 
7.4%
종 40
 
6.2%
가공업 32
 
4.9%
차류 30
 
4.6%
1 25
 
3.9%
기타 24
 
3.7%
수산동물 11
 
1.7%
처리업 10
 
1.5%
Other values (142) 296
45.6%
2023-08-15T12:57:26.526222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
510
25.8%
업 148
 
7.5%
제 120
 
6.1%
조 105
 
5.3%
및 49
 
2.5%
외 49
 
2.5%
류 47
 
2.4%
가 45
 
2.3%
공 44
 
2.2%
종 40
 
2.0%
Other values (167) 820
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1405
71.1%
Space Separator 510
 
25.8%
Decimal Number 40
 
2.0%
Other Punctuation 20
 
1.0%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 148
 
10.5%
제 120
 
8.5%
조 105
 
7.5%
및 49
 
3.5%
외 49
 
3.5%
류 47
 
3.3%
가 45
 
3.2%
공 44
 
3.1%
종 40
 
2.8%
품 39
 
2.8%
Other values (156) 719
51.2%
Decimal Number
ValueCountFrequency (%)
1 25
62.5%
2 8
 
20.0%
3 4
 
10.0%
9 1
 
2.5%
4 1
 
2.5%
5 1
 
2.5%
Other Punctuation
ValueCountFrequency (%)
, 19
95.0%
. 1
 
5.0%
Space Separator
ValueCountFrequency (%)
510
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1405
71.1%
Common 572
28.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 148
 
10.5%
제 120
 
8.5%
조 105
 
7.5%
및 49
 
3.5%
외 49
 
3.5%
류 47
 
3.3%
가 45
 
3.2%
공 44
 
3.1%
종 40
 
2.8%
품 39
 
2.8%
Other values (156) 719
51.2%
Common
ValueCountFrequency (%)
510
89.2%
1 25
 
4.4%
, 19
 
3.3%
2 8
 
1.4%
3 4
 
0.7%
( 1
 
0.2%
) 1
 
0.2%
. 1
 
0.2%
9 1
 
0.2%
4 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1401
70.9%
ASCII 572
28.9%
Compat Jamo 4
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
510
89.2%
1 25
 
4.4%
, 19
 
3.3%
2 8
 
1.4%
3 4
 
0.7%
( 1
 
0.2%
) 1
 
0.2%
. 1
 
0.2%
9 1
 
0.2%
4 1
 
0.2%
Hangul
ValueCountFrequency (%)
업 148
 
10.6%
제 120
 
8.6%
조 105
 
7.5%
및 49
 
3.5%
외 49
 
3.5%
류 47
 
3.4%
가 45
 
3.2%
공 44
 
3.1%
종 40
 
2.9%
품 39
 
2.8%
Other values (155) 715
51.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4
100.0%

생산품
Text

Distinct113
Distinct (%)81.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-08-15T12:57:26.976565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length21
Mean length7.4820144
Min length2

Characters and Unicode

Total characters1040
Distinct characters235
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

Unique104 ?
Unique (%)74.8%

Sample

1st row녹차
2nd row녹차
3rd row녹차음료,매실액기스,율곡농축,감식초 등
4th row다슬기 가공품
5th row레미콘혼합제
ValueCountFrequency (%)
녹차 18
 
7.9%
등 9
 
3.9%
재첩국 8
 
3.5%
막걸리 4
 
1.8%
레미콘 3
 
1.3%
철구조물 3
 
1.3%
가공품 3
 
1.3%
감식초 3
 
1.3%
콘크리트 2
 
0.9%
제작 2
 
0.9%
Other values (161) 173
75.9%
2023-08-15T12:57:27.617659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
90
 
8.7%
, 65
 
6.2%
차 36
 
3.5%
녹 30
 
2.9%
재 23
 
2.2%
품 21
 
2.0%
제 18
 
1.7%
기 17
 
1.6%
스 17
 
1.6%
국 14
 
1.3%
Other values (225) 709
68.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 845
81.2%
Space Separator 90
 
8.7%
Other Punctuation 70
 
6.7%
Open Punctuation 10
 
1.0%
Close Punctuation 10
 
1.0%
Uppercase Letter 9
 
0.9%
Lowercase Letter 6
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
차 36
 
4.3%
녹 30
 
3.6%
재 23
 
2.7%
품 21
 
2.5%
제 18
 
2.1%
기 17
 
2.0%
스 17
 
2.0%
국 14
 
1.7%
장 13
 
1.5%
조 13
 
1.5%
Other values (207) 643
76.1%
Uppercase Letter
ValueCountFrequency (%)
S 2
22.2%
E 2
22.2%
F 1
11.1%
C 1
11.1%
R 1
11.1%
L 1
11.1%
V 1
11.1%
Lowercase Letter
ValueCountFrequency (%)
r 1
16.7%
e 1
16.7%
t 1
16.7%
l 1
16.7%
i 1
16.7%
f 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 65
92.9%
. 5
 
7.1%
Space Separator
ValueCountFrequency (%)
90
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 845
81.2%
Common 180
 
17.3%
Latin 15
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
차 36
 
4.3%
녹 30
 
3.6%
재 23
 
2.7%
품 21
 
2.5%
제 18
 
2.1%
기 17
 
2.0%
스 17
 
2.0%
국 14
 
1.7%
장 13
 
1.5%
조 13
 
1.5%
Other values (207) 643
76.1%
Latin
ValueCountFrequency (%)
S 2
13.3%
E 2
13.3%
r 1
 
6.7%
e 1
 
6.7%
t 1
 
6.7%
l 1
 
6.7%
i 1
 
6.7%
f 1
 
6.7%
F 1
 
6.7%
C 1
 
6.7%
Other values (3) 3
20.0%
Common
ValueCountFrequency (%)
90
50.0%
, 65
36.1%
( 10
 
5.6%
) 10
 
5.6%
. 5
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 845
81.2%
ASCII 195
 
18.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
90
46.2%
, 65
33.3%
( 10
 
5.1%
) 10
 
5.1%
. 5
 
2.6%
S 2
 
1.0%
E 2
 
1.0%
r 1
 
0.5%
e 1
 
0.5%
t 1
 
0.5%
Other values (8) 8
 
4.1%
Hangul
ValueCountFrequency (%)
차 36
 
4.3%
녹 30
 
3.6%
재 23
 
2.7%
품 21
 
2.5%
제 18
 
2.1%
기 17
 
2.0%
스 17
 
2.0%
국 14
 
1.7%
장 13
 
1.5%
조 13
 
1.5%
Other values (207) 643
76.1%

Interactions

2023-08-15T12:57:16.925053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-08-15T12:57:27.827795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번팩스번호업종명
순번1.0000.5880.644
팩스번호0.5881.0000.637
업종명0.6440.6371.000

Missing values

2023-08-15T12:57:17.210796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-08-15T12:57:17.514484image/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

순번회사명대표자명전화번호팩스번호공장대표주소업종명생산품
01(재)하동녹차연구소 가공2공장황인후_055_8831206_055_8841599경상남도 하동군 화개면 영당2길 26차류 가공업녹차
12(재)하동녹차연구소 가공3공장황인후<NA>_01086650460경상남도 하동군 하동읍 섬진강대로 2492차류 가공업녹차
23(재)하동녹차연구소 가공공장황인후_055_8831206_055_8842402경상남도 하동군 화개면 영당2길 28차류 가공업녹차음료,매실액기스,율곡농축,감식초 등
34(주) 정옥추호진_055_8827465_055_8827466경상남도 하동군 양보면 진양로 1092수산동물 훈제, 조리 및 유사 조제식품 제조업다슬기 가공품
45(주)금륜김옥례_055_8840693_055_8840680경상남도 하동군 금성면 경제산업로 507-80비금속류 해체 및 선별업 외 1 종레미콘혼합제
56(주)금오레미콘조효봉_055_8838001_055_8838006경상남도 하동군 진교면 달구지길 95-47 (진교면)레미콘 제조업레미콘
67(주)금오레미콘 2공장조효봉_055_8838001____________경상남도 하동군 진교면 달구지길 95-47아스팔트 콘크리트 및 혼합제품 제조업아스콘
78(주)남광하동공장김정완_055_8840671_055_8840673경상남도 하동군 적량면 한옥정길 36-22 ((주)남광)코크스 및 관련제품 제조업 외 3 종고철,코크스,고화재(제강슬래그),시멘트혼합제
89(주)대덕화학이기형_055_8835641_055_8835643경상남도 하동군 고전면 농공단지길 35 (대덕화학)고무패킹류 제조업 외 1 종산업용 고무
910(주)두양중공업김덕진_055_8825123____________경상남도 하동군 진교면 진양로 258-23산업용 난방보일러 및 방열기 제조업보일러
순번회사명대표자명전화번호팩스번호공장대표주소업종명생산품
129130해들가김정희_07077958320____________경상남도 하동군 금남면 경충로 378-65수산식물 가공 및 저장 처리업해초 김
130131햇차원 A동이기남_055_8833212____________경상남도 하동군 악양면 정서길 199-26차류 가공업 외 1 종녹차, 장아찌,감식초
131132햇차원 B동이기남_055_8833212____________경상남도 하동군 악양면 정서길 202차류 가공업 외 1 종녹차, 감식초 등
132133화개농협제다한춘식_055_8838341_055_8832463경상남도 하동군 화개면 화개로 26-1차류 가공업녹차
133134화개농협제다 2한춘식_055_8838341____________경상남도 하동군 화개면 섬진강대로 3742차류 가공업녹차
134135화개제다홍소술_055_8832233_055882_8941경상남도 하동군 화개면 섬진강대로 4028 (총 2 필지)차류 가공업녹차
135136화개합동탁주김진희_055883_2456____________경상남도 하동군 화개면 탑리 678번지탁주 및 약주 제조업막걸리
136137화심B&T김용규_055_8824585_055_8823388경상남도 하동군 하동읍 큰땀길 26-7차류 가공업녹차(우전,세작,중작,대작)
137138화창목재강명훈_055_8823306_055_8823066경상남도 하동군 진교면 진교리 67번지일반 제재업각재
138139흥경산업이성주_055_8845626____________경상남도 하동군 금남면 섬진강대로 806-10 (흥경산업)금속 문, 창, 셔터 및 관련제품 제조업철구조물