Overview

Dataset statistics

Number of variables9
Number of observations216
Missing cells47
Missing cells (%)2.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.5 KiB
Average record size in memory73.6 B

Variable types

Numeric1
Categorical1
Text6
DateTime1

Dataset

Description경상남도 사천시 산업단지 입주업체 현황 자료입니다.(연번, 단지명, 회사명, 전화번호, 팩스번호, 주소, 업종명, 생산품)
Author경상남도 사천시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15114248

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 단지명High correlation
단지명 is highly overall correlated with 연번High correlation
전화번호 has 13 (6.0%) missing valuesMissing
팩스번호 has 34 (15.7%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:14:58.861699
Analysis finished2023-12-11 00:14:59.862222
Duration1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct216
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.5
Minimum1
Maximum216
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T09:14:59.945621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.75
Q154.75
median108.5
Q3162.25
95-th percentile205.25
Maximum216
Range215
Interquartile range (IQR)107.5

Descriptive statistics

Standard deviation62.498
Coefficient of variation (CV)0.57601843
Kurtosis-1.2
Mean108.5
Median Absolute Deviation (MAD)54
Skewness0
Sum23436
Variance3906
MonotonicityStrictly increasing
2023-12-11T09:15:00.095464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
150 1
 
0.5%
139 1
 
0.5%
140 1
 
0.5%
141 1
 
0.5%
142 1
 
0.5%
143 1
 
0.5%
144 1
 
0.5%
145 1
 
0.5%
146 1
 
0.5%
Other values (206) 206
95.4%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
216 1
0.5%
215 1
0.5%
214 1
0.5%
213 1
0.5%
212 1
0.5%
211 1
0.5%
210 1
0.5%
209 1
0.5%
208 1
0.5%
207 1
0.5%

단지명
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
사천사남농공단지
41 
향촌삽재농공단지
30 
사천임대전용산업단지
25 
사천제2일반산업단지
23 
사천두량전문농공단지
21 
Other values (6)
76 

Length

Max length10
Median length9
Mean length9.0231481
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사천사남농공단지 41
19.0%
향촌삽재농공단지 30
13.9%
사천임대전용산업단지 25
11.6%
사천제2일반산업단지 23
10.6%
사천두량전문농공단지 21
9.7%
사천외국인투자지역 19
8.8%
사천송포농공단지 16
 
7.4%
사천제1일반산업단지 13
 
6.0%
사천축동구호농공단지 10
 
4.6%
사천곤양농공단지 9
 
4.2%

Length

2023-12-11T09:15:00.233518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사천사남농공단지 41
19.0%
향촌삽재농공단지 30
13.9%
사천임대전용산업단지 25
11.6%
사천제2일반산업단지 23
10.6%
사천두량전문농공단지 21
9.7%
사천외국인투자지역 19
8.8%
사천송포농공단지 16
 
7.4%
사천제1일반산업단지 13
 
6.0%
사천축동구호농공단지 10
 
4.6%
사천곤양농공단지 9
 
4.2%

회사명
Text

Distinct198
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-11T09:15:00.454085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length15
Mean length7.962963
Min length2

Characters and Unicode

Total characters1720
Distinct characters234
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

Unique182 ?
Unique (%)84.3%

Sample

1st row(주)명진기업
2nd row(주)세종화학
3rd row(주)우성메텍
4th row명진테크
5th row사천시농협연합미곡종합처리장
ValueCountFrequency (%)
주식회사 15
 
5.7%
사천공장 5
 
1.9%
한국항공우주산업(주 3
 
1.1%
주)에어로코텍 3
 
1.1%
동신금속(주 3
 
1.1%
코리아 3
 
1.1%
유한회사 3
 
1.1%
유한책임회사 3
 
1.1%
주)리치메탈즈 2
 
0.8%
청우중공업(주 2
 
0.8%
Other values (204) 221
84.0%
2023-12-11T09:15:00.808125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 153
 
8.9%
) 136
 
7.9%
( 135
 
7.8%
48
 
2.8%
이 47
 
2.7%
공 42
 
2.4%
스 40
 
2.3%
사 38
 
2.2%
에 37
 
2.2%
업 35
 
2.0%
Other values (224) 1009
58.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1375
79.9%
Close Punctuation 137
 
8.0%
Open Punctuation 136
 
7.9%
Space Separator 48
 
2.8%
Uppercase Letter 18
 
1.0%
Decimal Number 4
 
0.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 153
 
11.1%
이 47
 
3.4%
공 42
 
3.1%
스 40
 
2.9%
사 38
 
2.8%
에 37
 
2.7%
업 35
 
2.5%
산 32
 
2.3%
회 24
 
1.7%
아 23
 
1.7%
Other values (206) 904
65.7%
Uppercase Letter
ValueCountFrequency (%)
G 4
22.2%
N 3
16.7%
C 3
16.7%
E 2
11.1%
S 1
 
5.6%
H 1
 
5.6%
F 1
 
5.6%
M 1
 
5.6%
T 1
 
5.6%
Y 1
 
5.6%
Close Punctuation
ValueCountFrequency (%)
) 136
99.3%
] 1
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 135
99.3%
[ 1
 
0.7%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
48
100.0%
Decimal Number
ValueCountFrequency (%)
2 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1375
79.9%
Common 327
 
19.0%
Latin 18
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 153
 
11.1%
이 47
 
3.4%
공 42
 
3.1%
스 40
 
2.9%
사 38
 
2.8%
에 37
 
2.7%
업 35
 
2.5%
산 32
 
2.3%
회 24
 
1.7%
아 23
 
1.7%
Other values (206) 904
65.7%
Latin
ValueCountFrequency (%)
G 4
22.2%
N 3
16.7%
C 3
16.7%
E 2
11.1%
S 1
 
5.6%
H 1
 
5.6%
F 1
 
5.6%
M 1
 
5.6%
T 1
 
5.6%
Y 1
 
5.6%
Common
ValueCountFrequency (%)
) 136
41.6%
( 135
41.3%
48
 
14.7%
2 4
 
1.2%
] 1
 
0.3%
[ 1
 
0.3%
. 1
 
0.3%
& 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1375
79.9%
ASCII 345
 
20.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 153
 
11.1%
이 47
 
3.4%
공 42
 
3.1%
스 40
 
2.9%
사 38
 
2.8%
에 37
 
2.7%
업 35
 
2.5%
산 32
 
2.3%
회 24
 
1.7%
아 23
 
1.7%
Other values (206) 904
65.7%
ASCII
ValueCountFrequency (%)
) 136
39.4%
( 135
39.1%
48
 
13.9%
G 4
 
1.2%
2 4
 
1.2%
N 3
 
0.9%
C 3
 
0.9%
E 2
 
0.6%
S 1
 
0.3%
H 1
 
0.3%
Other values (8) 8
 
2.3%

전화번호
Text

MISSING 

Distinct176
Distinct (%)86.7%
Missing13
Missing (%)6.0%
Memory size1.8 KiB
2023-12-11T09:15:01.075722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.039409
Min length11

Characters and Unicode

Total characters2444
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

Unique152 ?
Unique (%)74.9%

Sample

1st row055-854-5720
2nd row055-854-9280
3rd row055-852-5880
4th row055-854-5720
5th row055-854-2380
ValueCountFrequency (%)
055-852-9695 3
 
1.5%
055-852-6102 3
 
1.5%
055-854-7657 3
 
1.5%
055-851-8777 2
 
1.0%
055-834-3572 2
 
1.0%
055-854-8776 2
 
1.0%
055-832-0633 2
 
1.0%
055-853-6996 2
 
1.0%
070-7495-6760 2
 
1.0%
070-7757-5440 2
 
1.0%
Other values (166) 180
88.7%
2023-12-11T09:15:01.424265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 635
26.0%
- 406
16.6%
0 362
14.8%
8 255
10.4%
3 164
 
6.7%
2 134
 
5.5%
7 132
 
5.4%
4 117
 
4.8%
1 90
 
3.7%
9 76
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2038
83.4%
Dash Punctuation 406
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 635
31.2%
0 362
17.8%
8 255
12.5%
3 164
 
8.0%
2 134
 
6.6%
7 132
 
6.5%
4 117
 
5.7%
1 90
 
4.4%
9 76
 
3.7%
6 73
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 406
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2444
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 635
26.0%
- 406
16.6%
0 362
14.8%
8 255
10.4%
3 164
 
6.7%
2 134
 
5.5%
7 132
 
5.4%
4 117
 
4.8%
1 90
 
3.7%
9 76
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2444
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 635
26.0%
- 406
16.6%
0 362
14.8%
8 255
10.4%
3 164
 
6.7%
2 134
 
5.5%
7 132
 
5.4%
4 117
 
4.8%
1 90
 
3.7%
9 76
 
3.1%

팩스번호
Text

MISSING 

Distinct154
Distinct (%)84.6%
Missing34
Missing (%)15.7%
Memory size1.8 KiB
2023-12-11T09:15:01.655470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.016484
Min length11

Characters and Unicode

Total characters2187
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

Unique129 ?
Unique (%)70.9%

Sample

1st row055-854-5721
2nd row055-854-3258
3rd row055-852-5890
4th row055-854-5721
5th row055-854-2381
ValueCountFrequency (%)
055-854-7565 3
 
1.6%
055-834-8356 3
 
1.6%
055-852-6103 3
 
1.6%
055-852-6438 2
 
1.1%
055-854-5721 2
 
1.1%
055-852-4015 2
 
1.1%
055-853-9109 2
 
1.1%
055-851-8700 2
 
1.1%
055-851-7019 2
 
1.1%
055-855-2173 2
 
1.1%
Other values (144) 159
87.4%
2023-12-11T09:15:01.970767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 581
26.6%
- 364
16.6%
0 271
12.4%
8 237
10.8%
3 164
 
7.5%
4 121
 
5.5%
2 110
 
5.0%
7 101
 
4.6%
1 82
 
3.7%
6 80
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1823
83.4%
Dash Punctuation 364
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 581
31.9%
0 271
14.9%
8 237
13.0%
3 164
 
9.0%
4 121
 
6.6%
2 110
 
6.0%
7 101
 
5.5%
1 82
 
4.5%
6 80
 
4.4%
9 76
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 364
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2187
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 581
26.6%
- 364
16.6%
0 271
12.4%
8 237
10.8%
3 164
 
7.5%
4 121
 
5.5%
2 110
 
5.0%
7 101
 
4.6%
1 82
 
3.7%
6 80
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2187
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 581
26.6%
- 364
16.6%
0 271
12.4%
8 237
10.8%
3 164
 
7.5%
4 121
 
5.5%
2 110
 
5.0%
7 101
 
4.6%
1 82
 
3.7%
6 80
 
3.7%

주소
Text

Distinct196
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-11T09:15:02.194881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length43
Mean length25.865741
Min length18

Characters and Unicode

Total characters5587
Distinct characters170
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

Unique179 ?
Unique (%)82.9%

Sample

1st row경상남도 사천시 곤양면 곤양공단길 50 ((주)명진기업)
2nd row경상남도 사천시 곤양면 곤북로 72 ((주)세종화학)
3rd row경상남도 사천시 정동면 상정대로 2055
4th row경상남도 사천시 군영숲길 79 (대방동)
5th row경상남도 사천시 봉남동 132-1
ValueCountFrequency (%)
경상남도 216
18.1%
사천시 216
18.1%
사남면 105
 
8.8%
공단1로 47
 
3.9%
향촌동 31
 
2.6%
사천읍 26
 
2.2%
청송길 24
 
2.0%
두량공단로 20
 
1.7%
축동면 18
 
1.5%
외 18
 
1.5%
Other values (289) 472
39.6%
2023-12-11T09:15:02.563248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
994
17.8%
사 357
 
6.4%
남 326
 
5.8%
천 250
 
4.5%
경 222
 
4.0%
상 219
 
3.9%
도 216
 
3.9%
시 216
 
3.9%
1 185
 
3.3%
( 133
 
2.4%
Other values (160) 2469
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3345
59.9%
Space Separator 994
 
17.8%
Decimal Number 817
 
14.6%
Open Punctuation 133
 
2.4%
Close Punctuation 133
 
2.4%
Dash Punctuation 100
 
1.8%
Uppercase Letter 40
 
0.7%
Other Punctuation 25
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 357
 
10.7%
남 326
 
9.7%
천 250
 
7.5%
경 222
 
6.6%
상 219
 
6.5%
도 216
 
6.5%
시 216
 
6.5%
면 131
 
3.9%
로 127
 
3.8%
공 126
 
3.8%
Other values (128) 1155
34.5%
Uppercase Letter
ValueCountFrequency (%)
S 5
12.5%
A 5
12.5%
K 4
10.0%
O 4
10.0%
E 3
7.5%
N 3
7.5%
B 3
7.5%
C 3
7.5%
G 2
 
5.0%
T 2
 
5.0%
Other values (6) 6
15.0%
Decimal Number
ValueCountFrequency (%)
1 185
22.6%
2 118
14.4%
3 111
13.6%
4 100
12.2%
5 80
9.8%
6 60
 
7.3%
7 55
 
6.7%
9 46
 
5.6%
0 41
 
5.0%
8 21
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 24
96.0%
& 1
 
4.0%
Space Separator
ValueCountFrequency (%)
994
100.0%
Open Punctuation
ValueCountFrequency (%)
( 133
100.0%
Close Punctuation
ValueCountFrequency (%)
) 133
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3345
59.9%
Common 2202
39.4%
Latin 40
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 357
 
10.7%
남 326
 
9.7%
천 250
 
7.5%
경 222
 
6.6%
상 219
 
6.5%
도 216
 
6.5%
시 216
 
6.5%
면 131
 
3.9%
로 127
 
3.8%
공 126
 
3.8%
Other values (128) 1155
34.5%
Common
ValueCountFrequency (%)
994
45.1%
1 185
 
8.4%
( 133
 
6.0%
) 133
 
6.0%
2 118
 
5.4%
3 111
 
5.0%
- 100
 
4.5%
4 100
 
4.5%
5 80
 
3.6%
6 60
 
2.7%
Other values (6) 188
 
8.5%
Latin
ValueCountFrequency (%)
S 5
12.5%
A 5
12.5%
K 4
10.0%
O 4
10.0%
E 3
7.5%
N 3
7.5%
B 3
7.5%
C 3
7.5%
G 2
 
5.0%
T 2
 
5.0%
Other values (6) 6
15.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3345
59.9%
ASCII 2242
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
994
44.3%
1 185
 
8.3%
( 133
 
5.9%
) 133
 
5.9%
2 118
 
5.3%
3 111
 
5.0%
- 100
 
4.5%
4 100
 
4.5%
5 80
 
3.6%
6 60
 
2.7%
Other values (22) 228
 
10.2%
Hangul
ValueCountFrequency (%)
사 357
 
10.7%
남 326
 
9.7%
천 250
 
7.5%
경 222
 
6.6%
상 219
 
6.5%
도 216
 
6.5%
시 216
 
6.5%
면 131
 
3.9%
로 127
 
3.8%
공 126
 
3.8%
Other values (128) 1155
34.5%

업종명
Text

Distinct98
Distinct (%)45.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-11T09:15:02.848374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length24
Mean length16.726852
Min length6

Characters and Unicode

Total characters3613
Distinct characters159
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

Unique61 ?
Unique (%)28.2%

Sample

1st row건설 및 채광용 기계장비 제조업 외 1 종
2nd row플라스틱 선, 봉, 관 및 호스 제조업 외 2 종
3rd row농업 및 임업용 기계 제조업 외 1 종
4th row기타 수산동물 가공 및 저장 처리업
5th row수산동물 건조 및 염장품 제조업
ValueCountFrequency (%)
제조업 164
 
13.8%
외 117
 
9.9%
종 97
 
8.2%
및 88
 
7.4%
1 44
 
3.7%
부품 41
 
3.5%
기타 37
 
3.1%
수산동물 37
 
3.1%
항공기용 28
 
2.4%
신품 20
 
1.7%
Other values (134) 513
43.3%
2023-12-11T09:15:03.237264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
970
26.8%
업 242
 
6.7%
조 208
 
5.8%
제 185
 
5.1%
외 117
 
3.2%
품 113
 
3.1%
기 111
 
3.1%
종 97
 
2.7%
및 88
 
2.4%
동 79
 
2.2%
Other values (149) 1403
38.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2533
70.1%
Space Separator 970
 
26.8%
Decimal Number 98
 
2.7%
Other Punctuation 12
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 242
 
9.6%
조 208
 
8.2%
제 185
 
7.3%
외 117
 
4.6%
품 113
 
4.5%
기 111
 
4.4%
종 97
 
3.8%
및 88
 
3.5%
동 79
 
3.1%
용 78
 
3.1%
Other values (140) 1215
48.0%
Decimal Number
ValueCountFrequency (%)
1 46
46.9%
2 18
 
18.4%
4 16
 
16.3%
3 11
 
11.2%
5 3
 
3.1%
7 2
 
2.0%
6 2
 
2.0%
Space Separator
ValueCountFrequency (%)
970
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2533
70.1%
Common 1080
29.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 242
 
9.6%
조 208
 
8.2%
제 185
 
7.3%
외 117
 
4.6%
품 113
 
4.5%
기 111
 
4.4%
종 97
 
3.8%
및 88
 
3.5%
동 79
 
3.1%
용 78
 
3.1%
Other values (140) 1215
48.0%
Common
ValueCountFrequency (%)
970
89.8%
1 46
 
4.3%
2 18
 
1.7%
4 16
 
1.5%
, 12
 
1.1%
3 11
 
1.0%
5 3
 
0.3%
7 2
 
0.2%
6 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2532
70.1%
ASCII 1080
29.9%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
970
89.8%
1 46
 
4.3%
2 18
 
1.7%
4 16
 
1.5%
, 12
 
1.1%
3 11
 
1.0%
5 3
 
0.3%
7 2
 
0.2%
6 2
 
0.2%
Hangul
ValueCountFrequency (%)
업 242
 
9.6%
조 208
 
8.2%
제 185
 
7.3%
외 117
 
4.6%
품 113
 
4.5%
기 111
 
4.4%
종 97
 
3.8%
및 88
 
3.5%
동 79
 
3.1%
용 78
 
3.1%
Other values (139) 1214
47.9%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

생산품
Text

Distinct182
Distinct (%)84.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-11T09:15:03.463746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length30
Mean length10.162037
Min length2

Characters and Unicode

Total characters2195
Distinct characters303
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

Unique166 ?
Unique (%)76.9%

Sample

1st row중장비용오일탱크
2nd row폴리에틸렌수관,하수관,기타관,일반용폴리에틸렌이음관
3rd row농기계부품,금속단조제품
4th row금속탱크류
5th row곡물도정
ValueCountFrequency (%)
부품 21
 
4.8%
항공기부품 15
 
3.4%
및 11
 
2.5%
항공기용 9
 
2.0%
자동차 9
 
2.0%
등 8
 
1.8%
항공기 8
 
1.8%
전기 7
 
1.6%
오징어 6
 
1.4%
건멸치 6
 
1.4%
Other values (275) 340
77.3%
2023-12-11T09:15:03.847683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
226
 
10.3%
, 128
 
5.8%
기 116
 
5.3%
품 105
 
4.8%
부 83
 
3.8%
공 71
 
3.2%
항 53
 
2.4%
어 39
 
1.8%
치 34
 
1.5%
용 31
 
1.4%
Other values (293) 1309
59.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1701
77.5%
Space Separator 226
 
10.3%
Other Punctuation 132
 
6.0%
Uppercase Letter 65
 
3.0%
Lowercase Letter 19
 
0.9%
Close Punctuation 18
 
0.8%
Open Punctuation 18
 
0.8%
Decimal Number 16
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 116
 
6.8%
품 105
 
6.2%
부 83
 
4.9%
공 71
 
4.2%
항 53
 
3.1%
어 39
 
2.3%
치 34
 
2.0%
용 31
 
1.8%
장 31
 
1.8%
조 30
 
1.8%
Other values (253) 1108
65.1%
Uppercase Letter
ValueCountFrequency (%)
S 9
13.8%
P 7
10.8%
A 6
 
9.2%
B 5
 
7.7%
F 5
 
7.7%
R 4
 
6.2%
H 4
 
6.2%
E 3
 
4.6%
L 3
 
4.6%
D 3
 
4.6%
Other values (9) 16
24.6%
Lowercase Letter
ValueCountFrequency (%)
i 4
21.1%
r 3
15.8%
n 3
15.8%
e 2
10.5%
g 2
10.5%
k 1
 
5.3%
a 1
 
5.3%
m 1
 
5.3%
b 1
 
5.3%
t 1
 
5.3%
Decimal Number
ValueCountFrequency (%)
7 8
50.0%
3 4
25.0%
4 2
 
12.5%
5 1
 
6.2%
0 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 128
97.0%
/ 3
 
2.3%
· 1
 
0.8%
Space Separator
ValueCountFrequency (%)
226
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1701
77.5%
Common 410
 
18.7%
Latin 84
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 116
 
6.8%
품 105
 
6.2%
부 83
 
4.9%
공 71
 
4.2%
항 53
 
3.1%
어 39
 
2.3%
치 34
 
2.0%
용 31
 
1.8%
장 31
 
1.8%
조 30
 
1.8%
Other values (253) 1108
65.1%
Latin
ValueCountFrequency (%)
S 9
 
10.7%
P 7
 
8.3%
A 6
 
7.1%
B 5
 
6.0%
F 5
 
6.0%
i 4
 
4.8%
R 4
 
4.8%
H 4
 
4.8%
E 3
 
3.6%
L 3
 
3.6%
Other values (19) 34
40.5%
Common
ValueCountFrequency (%)
226
55.1%
, 128
31.2%
) 18
 
4.4%
( 18
 
4.4%
7 8
 
2.0%
3 4
 
1.0%
/ 3
 
0.7%
4 2
 
0.5%
5 1
 
0.2%
0 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1701
77.5%
ASCII 493
 
22.5%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
226
45.8%
, 128
26.0%
) 18
 
3.7%
( 18
 
3.7%
S 9
 
1.8%
7 8
 
1.6%
P 7
 
1.4%
A 6
 
1.2%
B 5
 
1.0%
F 5
 
1.0%
Other values (29) 63
 
12.8%
Hangul
ValueCountFrequency (%)
기 116
 
6.8%
품 105
 
6.2%
부 83
 
4.9%
공 71
 
4.2%
항 53
 
3.1%
어 39
 
2.3%
치 34
 
2.0%
용 31
 
1.8%
장 31
 
1.8%
조 30
 
1.8%
Other values (253) 1108
65.1%
None
ValueCountFrequency (%)
· 1
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2023-10-31 00:00:00
Maximum2023-10-31 00:00:00
2023-12-11T09:15:03.948548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:15:04.023144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T09:14:59.462028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:15:04.084429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번단지명업종명
연번1.0000.9480.786
단지명0.9481.0000.879
업종명0.7860.8791.000
2023-12-11T09:15:04.156101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번단지명
연번1.0000.802
단지명0.8021.000

Missing values

2023-12-11T09:14:59.562715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:14:59.699155image/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.
2023-12-11T09:14:59.806126image/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

연번단지명회사명전화번호팩스번호주소업종명생산품데이터기준일자
01사천곤양농공단지(주)명진기업055-854-5720055-854-5721경상남도 사천시 곤양면 곤양공단길 50 ((주)명진기업)건설 및 채광용 기계장비 제조업 외 1 종중장비용오일탱크2023-10-31
12사천곤양농공단지(주)세종화학055-854-9280055-854-3258경상남도 사천시 곤양면 곤북로 72 ((주)세종화학)플라스틱 선, 봉, 관 및 호스 제조업 외 2 종폴리에틸렌수관,하수관,기타관,일반용폴리에틸렌이음관2023-10-31
23사천곤양농공단지(주)우성메텍055-852-5880055-852-5890경상남도 사천시 정동면 상정대로 2055농업 및 임업용 기계 제조업 외 1 종농기계부품,금속단조제품2023-10-31
34사천곤양농공단지명진테크055-854-5720055-854-5721경상남도 사천시 군영숲길 79 (대방동)기타 수산동물 가공 및 저장 처리업금속탱크류2023-10-31
45사천곤양농공단지사천시농협연합미곡종합처리장055-854-2380055-854-2381경상남도 사천시 봉남동 132-1수산동물 건조 및 염장품 제조업곡물도정2023-10-31
56사천곤양농공단지세종데크055-854-9280055-854-3258경상남도 사천시 축동면 인절미고갯길 2-45금속 단조제품 제조업합성목재(바닥기둥난간재,상하부캡,브라켓)2023-10-31
67사천곤양농공단지유성정밀055-855-1230055-855-1231경상남도 사천시 축동면 가산리 33-2구조용 금속 판제품 및 공작물 제조업농기계부품2023-10-31
78사천곤양농공단지유한책임회사 신동공업055-855-0145055-855-0143경상남도 사천시 구실1길 136 (이홀동)수산동물 건조 및 염장품 제조업 외 1 종트랙터 로더2023-10-31
89사천곤양농공단지유한책임회사 신동공업055-855-0145055-855-0143경상남도 사천시 청송길 64-47 (향촌동)수산동물 건조 및 염장품 제조업 외 1 종트랙터로더, 트랙터안전지지대등2023-10-31
910사천두량전문농공단지(주) 세화 정밀055-852-1322055-853-0978경상남도 사천시 사천읍 두량공단로 27 (세화)건설 및 채광용 기계장비 제조업링크2023-10-31
연번단지명회사명전화번호팩스번호주소업종명생산품데이터기준일자
206207향촌삽재농공단지제일식품055-832-1859055-834-8356경상남도 사천시 청송길 34-7, 제일수산(향촌동 1313) (향촌동)기타 수산동물 가공 및 저장 처리업 외 1 종건멸치, 건오징어2023-10-31
207208향촌삽재농공단지주식회사 위드프레쉬055-835-4652<NA>경상남도 사천시 청송길 34-60(향촌동)수산동물 냉동품 제조업게장류, 구이류, 꽃게손질 및 가공품, 패류2023-10-31
208209향촌삽재농공단지죽방렴영어조합법인 삽재공장055-835-2260055-835-2261경상남도 사천시 청송길 64-47 (향촌동)수산동물 건조 및 염장품 제조업 외 2 종홍합, 바지락, 미역 등 해초류2023-10-31
209210향촌삽재농공단지착한오징어(주)055-835-3022055-835-3239경상남도 사천시 향촌동 1334번지기타 수산동물 가공 및 저장 처리업오징어류, 새조개,피조개등2023-10-31
210211향촌삽재농공단지참바다푸드02-815-778302-825-7773경상남도 사천시 향촌동 1300번지기타 수산동물 가공 및 저장 처리업바지락,새우,오징어2023-10-31
211212향촌삽재농공단지팔포수산055-833-2437055-833-2430경상남도 사천시 청송길 34-19 (향촌동)수산동물 건조 및 염장품 제조업멸치,다시마2023-10-31
212213향촌삽재농공단지해광종합식품055-835-9500055-835-9040경상남도 사천시 향촌동 1328번지수산동물 건조 및 염장품 제조업조미쥐치포,조미학꽁치,조미명태어포2023-10-31
213214향촌삽재농공단지해남식품055-833-3000055-833-3284경상남도 사천시 향촌동 1330번지수산동물 건조 및 염장품 제조업명태,쥐치포2023-10-31
214215향촌삽재농공단지화영수산055-832-9555055-832-9556경상남도 사천시 청송길 34-47 (향촌동)수산동물 건조 및 염장품 제조업 외 2 종홍합,바지락2023-10-31
215216향촌삽재농공단지화창푸드시스템(주)055-832-1267<NA>경상남도 사천시 향촌동 1298 외 1필지천연 및 혼합조제 조미료 제조업 외 1 종멸치액기스 등 수산물액기스2023-10-31