Overview

Dataset statistics

Number of variables9
Number of observations186
Missing cells20
Missing cells (%)1.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.4 KiB
Average record size in memory73.7 B

Variable types

Numeric1
Categorical2
Text6

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 4 (2.2%) missing valuesMissing
팩스번호 has 15 (8.1%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:15:05.042316
Analysis finished2023-12-11 00:15:06.008760
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct186
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.5
Minimum1
Maximum186
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-11T09:15:06.073012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.25
Q147.25
median93.5
Q3139.75
95-th percentile176.75
Maximum186
Range185
Interquartile range (IQR)92.5

Descriptive statistics

Standard deviation53.837719
Coefficient of variation (CV)0.57580448
Kurtosis-1.2
Mean93.5
Median Absolute Deviation (MAD)46.5
Skewness0
Sum17391
Variance2898.5
MonotonicityStrictly increasing
2023-12-11T09:15:06.214275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
129 1
 
0.5%
120 1
 
0.5%
121 1
 
0.5%
122 1
 
0.5%
123 1
 
0.5%
124 1
 
0.5%
125 1
 
0.5%
126 1
 
0.5%
127 1
 
0.5%
Other values (176) 176
94.6%
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 (%)
186 1
0.5%
185 1
0.5%
184 1
0.5%
183 1
0.5%
182 1
0.5%
181 1
0.5%
180 1
0.5%
179 1
0.5%
178 1
0.5%
177 1
0.5%

단지명
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
사천사남농공단지
41 
향촌삽재농공단지
25 
사천임대전용산업단지
24 
사천두량전문농공단지
20 
사천외국인투자지역
15 
Other values (6)
61 

Length

Max length10
Median length9
Mean length8.9731183
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사천사남농공단지 41
22.0%
향촌삽재농공단지 25
13.4%
사천임대전용산업단지 24
12.9%
사천두량전문농공단지 20
10.8%
사천외국인투자지역 15
 
8.1%
사천제2일반산업단지 15
 
8.1%
사천송포농공단지 13
 
7.0%
사천곤양농공단지 9
 
4.8%
사천제1일반산업단지 9
 
4.8%
사천종포일반산업단지 9
 
4.8%

Length

2023-12-11T09:15:06.375521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사천사남농공단지 41
22.0%
향촌삽재농공단지 25
13.4%
사천임대전용산업단지 24
12.9%
사천두량전문농공단지 20
10.8%
사천외국인투자지역 15
 
8.1%
사천제2일반산업단지 15
 
8.1%
사천송포농공단지 13
 
7.0%
사천곤양농공단지 9
 
4.8%
사천제1일반산업단지 9
 
4.8%
사천종포일반산업단지 9
 
4.8%

회사명
Text

Distinct173
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-11T09:15:06.617764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length15
Mean length7.7903226
Min length3

Characters and Unicode

Total characters1449
Distinct characters216
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

Unique162 ?
Unique (%)87.1%

Sample

1st row(주)명진기업
2nd row(주)세종화학
3rd row(주)우성메텍
4th row명진테크
5th row사천시농협연합미곡종합처리장
ValueCountFrequency (%)
주식회사 12
 
5.3%
사천공장 4
 
1.8%
동신금속(주 3
 
1.3%
코리아 3
 
1.3%
한국항공우주산업(주 3
 
1.3%
주)에어로코텍 3
 
1.3%
유한책임회사 3
 
1.3%
주 2
 
0.9%
주)아인스스카이 2
 
0.9%
유한회사 2
 
0.9%
Other values (178) 190
83.7%
2023-12-11T09:15:07.022278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 124
 
8.6%
( 108
 
7.5%
) 108
 
7.5%
42
 
2.9%
이 42
 
2.9%
공 38
 
2.6%
스 35
 
2.4%
업 33
 
2.3%
에 32
 
2.2%
사 31
 
2.1%
Other values (206) 856
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1163
80.3%
Open Punctuation 109
 
7.5%
Close Punctuation 109
 
7.5%
Space Separator 42
 
2.9%
Uppercase Letter 20
 
1.4%
Decimal Number 3
 
0.2%
Other Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 124
 
10.7%
이 42
 
3.6%
공 38
 
3.3%
스 35
 
3.0%
업 33
 
2.8%
에 32
 
2.8%
사 31
 
2.7%
산 29
 
2.5%
아 21
 
1.8%
회 20
 
1.7%
Other values (188) 758
65.2%
Uppercase Letter
ValueCountFrequency (%)
G 4
20.0%
N 3
15.0%
C 3
15.0%
M 2
10.0%
T 2
10.0%
E 2
10.0%
S 1
 
5.0%
H 1
 
5.0%
F 1
 
5.0%
Y 1
 
5.0%
Open Punctuation
ValueCountFrequency (%)
( 108
99.1%
[ 1
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 108
99.1%
] 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
. 1
33.3%
Space Separator
ValueCountFrequency (%)
42
100.0%
Decimal Number
ValueCountFrequency (%)
2 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1163
80.3%
Common 266
 
18.4%
Latin 20
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 124
 
10.7%
이 42
 
3.6%
공 38
 
3.3%
스 35
 
3.0%
업 33
 
2.8%
에 32
 
2.8%
사 31
 
2.7%
산 29
 
2.5%
아 21
 
1.8%
회 20
 
1.7%
Other values (188) 758
65.2%
Latin
ValueCountFrequency (%)
G 4
20.0%
N 3
15.0%
C 3
15.0%
M 2
10.0%
T 2
10.0%
E 2
10.0%
S 1
 
5.0%
H 1
 
5.0%
F 1
 
5.0%
Y 1
 
5.0%
Common
ValueCountFrequency (%)
( 108
40.6%
) 108
40.6%
42
 
15.8%
2 3
 
1.1%
& 2
 
0.8%
] 1
 
0.4%
[ 1
 
0.4%
. 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1163
80.3%
ASCII 286
 
19.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 124
 
10.7%
이 42
 
3.6%
공 38
 
3.3%
스 35
 
3.0%
업 33
 
2.8%
에 32
 
2.8%
사 31
 
2.7%
산 29
 
2.5%
아 21
 
1.8%
회 20
 
1.7%
Other values (188) 758
65.2%
ASCII
ValueCountFrequency (%)
( 108
37.8%
) 108
37.8%
42
 
14.7%
G 4
 
1.4%
N 3
 
1.0%
2 3
 
1.0%
C 3
 
1.0%
& 2
 
0.7%
M 2
 
0.7%
T 2
 
0.7%
Other values (8) 9
 
3.1%

전화번호
Text

MISSING 

Distinct149
Distinct (%)81.9%
Missing4
Missing (%)2.2%
Memory size1.6 KiB
2023-12-11T09:15:07.258238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.027473
Min length12

Characters and Unicode

Total characters2189
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

Unique123 ?
Unique (%)67.6%

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 4
 
2.2%
055-852-6102 4
 
2.2%
055-853-6996 3
 
1.6%
055-854-3694 3
 
1.6%
055-854-7657 3
 
1.6%
055-853-7475 2
 
1.1%
055-851-7637 2
 
1.1%
055-855-2170 2
 
1.1%
055-855-1402 2
 
1.1%
055-833-2859 2
 
1.1%
Other values (139) 155
85.2%
2023-12-11T09:15:07.652506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 590
27.0%
- 364
16.6%
0 316
14.4%
8 224
 
10.2%
3 141
 
6.4%
2 119
 
5.4%
7 105
 
4.8%
4 101
 
4.6%
9 82
 
3.7%
6 76
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1825
83.4%
Dash Punctuation 364
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 590
32.3%
0 316
17.3%
8 224
 
12.3%
3 141
 
7.7%
2 119
 
6.5%
7 105
 
5.8%
4 101
 
5.5%
9 82
 
4.5%
6 76
 
4.2%
1 71
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 364
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2189
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 590
27.0%
- 364
16.6%
0 316
14.4%
8 224
 
10.2%
3 141
 
6.4%
2 119
 
5.4%
7 105
 
4.8%
4 101
 
4.6%
9 82
 
3.7%
6 76
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2189
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 590
27.0%
- 364
16.6%
0 316
14.4%
8 224
 
10.2%
3 141
 
6.4%
2 119
 
5.4%
7 105
 
4.8%
4 101
 
4.6%
9 82
 
3.7%
6 76
 
3.5%

팩스번호
Text

MISSING 

Distinct137
Distinct (%)80.1%
Missing15
Missing (%)8.1%
Memory size1.6 KiB
2023-12-11T09:15:07.891141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.964912
Min length2

Characters and Unicode

Total characters2046
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

Unique110 ?
Unique (%)64.3%

Sample

1st row055-854-5721
2nd row055-854-3258
3rd row055-852-5890
4th row055-854-5721
5th row055-854-2381
ValueCountFrequency (%)
055-834-8356 4
 
2.3%
055-852-6103 4
 
2.3%
055-852-9397 3
 
1.8%
055-853-7715 3
 
1.8%
055-854-7565 3
 
1.8%
055-852-2130 2
 
1.2%
055-854-2921 2
 
1.2%
055-832-0615 2
 
1.2%
055-852-6438 2
 
1.2%
055-854-5721 2
 
1.2%
Other values (127) 144
84.2%
2023-12-11T09:15:08.309646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 552
27.0%
- 338
16.5%
0 264
12.9%
8 213
 
10.4%
3 152
 
7.4%
2 112
 
5.5%
4 106
 
5.2%
7 85
 
4.2%
6 77
 
3.8%
1 75
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1708
83.5%
Dash Punctuation 338
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 552
32.3%
0 264
15.5%
8 213
 
12.5%
3 152
 
8.9%
2 112
 
6.6%
4 106
 
6.2%
7 85
 
5.0%
6 77
 
4.5%
1 75
 
4.4%
9 72
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 338
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2046
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 552
27.0%
- 338
16.5%
0 264
12.9%
8 213
 
10.4%
3 152
 
7.4%
2 112
 
5.5%
4 106
 
5.2%
7 85
 
4.2%
6 77
 
3.8%
1 75
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2046
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 552
27.0%
- 338
16.5%
0 264
12.9%
8 213
 
10.4%
3 152
 
7.4%
2 112
 
5.5%
4 106
 
5.2%
7 85
 
4.2%
6 77
 
3.8%
1 75
 
3.7%

주소
Text

Distinct182
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-11T09:15:08.672444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length37
Mean length22.876344
Min length16

Characters and Unicode

Total characters4255
Distinct characters147
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

Unique178 ?
Unique (%)95.7%

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 186
19.6%
사천시 186
19.6%
사남면 48
 
5.0%
축동면 46
 
4.8%
공단1로 18
 
1.9%
사천읍 14
 
1.5%
서삼로 12
 
1.3%
향촌동 10
 
1.1%
두량로 9
 
0.9%
인절미고갯길 9
 
0.9%
Other values (281) 413
43.4%
2023-12-11T09:15:09.435874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
813
19.1%
사 258
 
6.1%
남 237
 
5.6%
천 209
 
4.9%
상 193
 
4.5%
경 189
 
4.4%
도 186
 
4.4%
시 186
 
4.4%
1 144
 
3.4%
면 122
 
2.9%
Other values (137) 1718
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2573
60.5%
Space Separator 813
 
19.1%
Decimal Number 654
 
15.4%
Dash Punctuation 74
 
1.7%
Close Punctuation 64
 
1.5%
Open Punctuation 64
 
1.5%
Other Punctuation 10
 
0.2%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 258
 
10.0%
남 237
 
9.2%
천 209
 
8.1%
상 193
 
7.5%
경 189
 
7.3%
도 186
 
7.2%
시 186
 
7.2%
면 122
 
4.7%
동 115
 
4.5%
로 91
 
3.5%
Other values (119) 787
30.6%
Decimal Number
ValueCountFrequency (%)
1 144
22.0%
2 94
14.4%
3 72
11.0%
4 64
9.8%
5 61
9.3%
6 51
 
7.8%
7 47
 
7.2%
0 46
 
7.0%
9 42
 
6.4%
8 33
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
G 1
33.3%
M 1
33.3%
F 1
33.3%
Space Separator
ValueCountFrequency (%)
813
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 74
100.0%
Close Punctuation
ValueCountFrequency (%)
) 64
100.0%
Open Punctuation
ValueCountFrequency (%)
( 64
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2573
60.5%
Common 1679
39.5%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 258
 
10.0%
남 237
 
9.2%
천 209
 
8.1%
상 193
 
7.5%
경 189
 
7.3%
도 186
 
7.2%
시 186
 
7.2%
면 122
 
4.7%
동 115
 
4.5%
로 91
 
3.5%
Other values (119) 787
30.6%
Common
ValueCountFrequency (%)
813
48.4%
1 144
 
8.6%
2 94
 
5.6%
- 74
 
4.4%
3 72
 
4.3%
4 64
 
3.8%
) 64
 
3.8%
( 64
 
3.8%
5 61
 
3.6%
6 51
 
3.0%
Other values (5) 178
 
10.6%
Latin
ValueCountFrequency (%)
G 1
33.3%
M 1
33.3%
F 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2573
60.5%
ASCII 1682
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
813
48.3%
1 144
 
8.6%
2 94
 
5.6%
- 74
 
4.4%
3 72
 
4.3%
4 64
 
3.8%
) 64
 
3.8%
( 64
 
3.8%
5 61
 
3.6%
6 51
 
3.0%
Other values (8) 181
 
10.8%
Hangul
ValueCountFrequency (%)
사 258
 
10.0%
남 237
 
9.2%
천 209
 
8.1%
상 193
 
7.5%
경 189
 
7.3%
도 186
 
7.2%
시 186
 
7.2%
면 122
 
4.7%
동 115
 
4.5%
로 91
 
3.5%
Other values (119) 787
30.6%

업종명
Text

Distinct94
Distinct (%)50.8%
Missing1
Missing (%)0.5%
Memory size1.6 KiB
2023-12-11T09:15:09.823002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length16.778378
Min length6

Characters and Unicode

Total characters3104
Distinct characters154
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

Unique65 ?
Unique (%)35.1%

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 154
 
15.2%
외 96
 
9.5%
종 80
 
7.9%
및 77
 
7.6%
부품 40
 
3.9%
1 39
 
3.8%
항공기용 31
 
3.1%
수산동물 29
 
2.9%
기타 28
 
2.8%
기계 17
 
1.7%
Other values (133) 422
41.7%
2023-12-11T09:15:10.285512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
828
26.7%
업 213
 
6.9%
조 198
 
6.4%
제 175
 
5.6%
기 98
 
3.2%
품 96
 
3.1%
외 96
 
3.1%
종 81
 
2.6%
및 77
 
2.5%
용 76
 
2.4%
Other values (144) 1166
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2181
70.3%
Space Separator 828
 
26.7%
Decimal Number 82
 
2.6%
Other Punctuation 13
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 213
 
9.8%
조 198
 
9.1%
제 175
 
8.0%
기 98
 
4.5%
품 96
 
4.4%
외 96
 
4.4%
종 81
 
3.7%
및 77
 
3.5%
용 76
 
3.5%
동 67
 
3.1%
Other values (135) 1004
46.0%
Decimal Number
ValueCountFrequency (%)
1 41
50.0%
2 15
 
18.3%
4 10
 
12.2%
3 10
 
12.2%
6 3
 
3.7%
5 2
 
2.4%
7 1
 
1.2%
Space Separator
ValueCountFrequency (%)
828
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2181
70.3%
Common 923
29.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 213
 
9.8%
조 198
 
9.1%
제 175
 
8.0%
기 98
 
4.5%
품 96
 
4.4%
외 96
 
4.4%
종 81
 
3.7%
및 77
 
3.5%
용 76
 
3.5%
동 67
 
3.1%
Other values (135) 1004
46.0%
Common
ValueCountFrequency (%)
828
89.7%
1 41
 
4.4%
2 15
 
1.6%
, 13
 
1.4%
4 10
 
1.1%
3 10
 
1.1%
6 3
 
0.3%
5 2
 
0.2%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2180
70.2%
ASCII 923
29.7%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
828
89.7%
1 41
 
4.4%
2 15
 
1.6%
, 13
 
1.4%
4 10
 
1.1%
3 10
 
1.1%
6 3
 
0.3%
5 2
 
0.2%
7 1
 
0.1%
Hangul
ValueCountFrequency (%)
업 213
 
9.8%
조 198
 
9.1%
제 175
 
8.0%
기 98
 
4.5%
품 96
 
4.4%
외 96
 
4.4%
종 81
 
3.7%
및 77
 
3.5%
용 76
 
3.5%
동 67
 
3.1%
Other values (134) 1003
46.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

생산품
Text

Distinct156
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-11T09:15:10.501952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length27
Mean length9.9301075
Min length2

Characters and Unicode

Total characters1847
Distinct characters279
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

Unique142 ?
Unique (%)76.3%

Sample

1st row중장비용오일탱크
2nd row폴리에틸렌수관,하수관,기타관,일반용폴리에틸렌이음관
3rd row농기계부품,금속단조제품
4th row금속탱크류
5th row곡물도정
ValueCountFrequency (%)
부품 18
 
4.9%
항공기부품 14
 
3.8%
및 11
 
3.0%
항공기 8
 
2.2%
자동차 7
 
1.9%
항공기용 7
 
1.9%
오징어 7
 
1.9%
건멸치 6
 
1.6%
건오징어 5
 
1.4%
링크 5
 
1.4%
Other values (232) 278
76.0%
2023-12-11T09:15:10.828031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
182
 
9.9%
, 109
 
5.9%
기 97
 
5.3%
품 91
 
4.9%
부 76
 
4.1%
공 64
 
3.5%
항 49
 
2.7%
어 35
 
1.9%
장 28
 
1.5%
치 28
 
1.5%
Other values (269) 1088
58.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1444
78.2%
Space Separator 182
 
9.9%
Other Punctuation 113
 
6.1%
Uppercase Letter 64
 
3.5%
Decimal Number 15
 
0.8%
Close Punctuation 11
 
0.6%
Open Punctuation 11
 
0.6%
Lowercase Letter 7
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 97
 
6.7%
품 91
 
6.3%
부 76
 
5.3%
공 64
 
4.4%
항 49
 
3.4%
어 35
 
2.4%
장 28
 
1.9%
치 28
 
1.9%
용 27
 
1.9%
선 25
 
1.7%
Other values (232) 924
64.0%
Uppercase Letter
ValueCountFrequency (%)
S 8
12.5%
P 7
10.9%
A 6
 
9.4%
H 5
 
7.8%
B 4
 
6.2%
T 4
 
6.2%
F 4
 
6.2%
L 3
 
4.7%
E 3
 
4.7%
R 3
 
4.7%
Other values (9) 17
26.6%
Decimal Number
ValueCountFrequency (%)
7 6
40.0%
3 3
20.0%
5 2
 
13.3%
0 2
 
13.3%
4 1
 
6.7%
8 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
r 2
28.6%
g 1
14.3%
t 1
14.3%
i 1
14.3%
n 1
14.3%
e 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 109
96.5%
/ 3
 
2.7%
· 1
 
0.9%
Space Separator
ValueCountFrequency (%)
182
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1444
78.2%
Common 332
 
18.0%
Latin 71
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 97
 
6.7%
품 91
 
6.3%
부 76
 
5.3%
공 64
 
4.4%
항 49
 
3.4%
어 35
 
2.4%
장 28
 
1.9%
치 28
 
1.9%
용 27
 
1.9%
선 25
 
1.7%
Other values (232) 924
64.0%
Latin
ValueCountFrequency (%)
S 8
 
11.3%
P 7
 
9.9%
A 6
 
8.5%
H 5
 
7.0%
B 4
 
5.6%
T 4
 
5.6%
F 4
 
5.6%
L 3
 
4.2%
E 3
 
4.2%
R 3
 
4.2%
Other values (15) 24
33.8%
Common
ValueCountFrequency (%)
182
54.8%
, 109
32.8%
) 11
 
3.3%
( 11
 
3.3%
7 6
 
1.8%
/ 3
 
0.9%
3 3
 
0.9%
5 2
 
0.6%
0 2
 
0.6%
4 1
 
0.3%
Other values (2) 2
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1444
78.2%
ASCII 402
 
21.8%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
182
45.3%
, 109
27.1%
) 11
 
2.7%
( 11
 
2.7%
S 8
 
2.0%
P 7
 
1.7%
A 6
 
1.5%
7 6
 
1.5%
H 5
 
1.2%
B 4
 
1.0%
Other values (26) 53
 
13.2%
Hangul
ValueCountFrequency (%)
기 97
 
6.7%
품 91
 
6.3%
부 76
 
5.3%
공 64
 
4.4%
항 49
 
3.4%
어 35
 
2.4%
장 28
 
1.9%
치 28
 
1.9%
용 27
 
1.9%
선 25
 
1.7%
Other values (232) 924
64.0%
None
ValueCountFrequency (%)
· 1
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-06-01
186 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-01
2nd row2023-06-01
3rd row2023-06-01
4th row2023-06-01
5th row2023-06-01

Common Values

ValueCountFrequency (%)
2023-06-01 186
100.0%

Length

2023-12-11T09:15:10.941588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:15:11.030319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-01 186
100.0%

Interactions

2023-12-11T09:15:05.573593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:15:11.097047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번단지명업종명
연번1.0000.9210.616
단지명0.9211.0000.591
업종명0.6160.5911.000
2023-12-11T09:15:11.177478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번단지명
연번1.0000.720
단지명0.7201.000

Missing values

2023-12-11T09:15:05.702298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:15:05.859321image/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.
2023-12-11T09:15:05.959674image/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 종중장비용오일탱크2023-06-01
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,일반용폴리에틸렌이음관2023-06-01
23사천곤양농공단지(주)우성메텍055-852-5880055-852-5890경상남도 사천시 정동면 상정대로 2055농업 및 임업용 기계 제조업 외 1 종농기계부품,금속단조제품2023-06-01
34사천곤양농공단지명진테크055-854-5720055-854-5721경상남도 사천시 군영숲길 79 (대방동)기타 수산동물 가공 및 저장 처리업금속탱크류2023-06-01
45사천곤양농공단지사천시농협연합미곡종합처리장055-854-2380055-854-2381경상남도 사천시 봉남동 132-1수산동물 건조 및 염장품 제조업곡물도정2023-06-01
56사천곤양농공단지세종데크055-854-9280055-854-3258경상남도 사천시 축동면 인절미고갯길 2-45금속 단조제품 제조업합성목재(바닥기둥난간재,상하부캡,브라켓)2023-06-01
67사천곤양농공단지유성정밀055-855-1230055-855-1231경상남도 사천시 축동면 가산리 33-2구조용 금속 판제품 및 공작물 제조업농기계부품2023-06-01
78사천곤양농공단지유한책임회사 신동공업055-855-0145055-855-0143경상남도 사천시 구실1길 136 (이홀동)수산동물 건조 및 염장품 제조업 외 1 종트랙터 로더2023-06-01
89사천곤양농공단지유한책임회사 신동공업055-855-0145055-855-0143경상남도 사천시 청송길 64-47 (향촌동)수산동물 건조 및 염장품 제조업 외 1 종트랙터로더, 트랙터안전지지대등2023-06-01
910사천두량전문농공단지(주) 세화 정밀055-852-1322055-853-0978경상남도 사천시 사천읍 두량공단로 27 (세화)건설 및 채광용 기계장비 제조업링크2023-06-01
연번단지명회사명전화번호팩스번호주소업종명생산품데이터기준일자
176177향촌삽재농공단지어업회사법인주식회사조혜정의멸치연구소070-7757-5440055-833-5441경상남도 사천시 축동면 서삼로 1496탭, 밸브 및 유사장치 제조업건멸치2023-06-01
177178향촌삽재농공단지우리바다055-832-0707055-832-0705경상남도 사천시 정동면 장산리 973-1구조용 금속 판제품 및 공작물 제조업건멸치, 바지락2023-06-01
178179향촌삽재농공단지원정푸드농업회사법인 주식회사055-833-0337055-835-2662경상남도 사천시 용현면 진삼로 864-34생수 생산업멸치 다시팩, 어간장2023-06-01
179180향촌삽재농공단지제일식품055-832-1859055-834-8356경상남도 사천시 안숲뫼길 74-11 (향촌동)과자류 및 코코아 제품 제조업건멸치, 건오징어2023-06-01
180181향촌삽재농공단지주식회사 위드프레쉬055-853-9682070-8280-9602경상남도 사천시 사천읍 성지공단길 39금속 열처리업게장류, 구이류, 꽃게손질 및 가공품, 패류2023-06-01
181182향촌삽재농공단지죽방렴영어조합법인 삽재공장055-835-1546055-835-4038경상남도 사천시 환경길 18-12 (사등동)동물성 유지 제조업홍합, 바지락, 미역 등 해초류2023-06-01
182183향촌삽재농공단지참바다푸드<NA>055-855-4098경상남도 사천시 축동면 오리동길 41-19절삭가공 및 유사처리업 외 1 종바지락,새우,오징어2023-06-01
183184향촌삽재농공단지팔포수산055-852-9695055-852-9397경상남도 사천시 사남면 공단5로 25항공기용 부품 제조업 외 1 종멸치,다시마2023-06-01
184185향촌삽재농공단지해남식품055-850-230005-8094-2300경상남도 사천시 사남면 공단4로 155-11항공기용 부품 제조업명태,쥐치포2023-06-01
185186향촌삽재농공단지화영수산055-584-0404055-584-0550경상남도 사천시 사남면 공단2로 220육상 금속 골조 구조재 제조업홍합,바지락2023-06-01