Overview

Dataset statistics

Number of variables8
Number of observations58
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.8 KiB
Average record size in memory67.2 B

Variable types

Categorical1
Text5
Numeric1
DateTime1

Dataset

Description홍천군 관내에 소재한 산업단지에 위치한 업체에 대한 정보 제공.주요 항목은 단지명, 업체명, 대표전화번호, 대표주소, 종업원수, 업종명, 생산품 등으로 구성되어 있음.
Author강원특별자치도 홍천군
URLhttps://www.data.go.kr/data/15042404/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
업체명 has unique valuesUnique
생산품(주요업종) has unique valuesUnique
종업원수 has 1 (1.7%) zerosZeros

Reproduction

Analysis started2024-03-14 16:07:02.997862
Analysis finished2024-03-14 16:07:04.907786
Duration1.91 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

산업단지명
Categorical

Distinct4
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size592.0 B
홍천상오안농공단지
28 
홍천화전농공단지
25 
홍천양덕원농공단지
3 
홍천북방일반산업단지
 
2

Length

Max length10
Median length9
Mean length8.6034483
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row홍천상오안농공단지
2nd row홍천화전농공단지
3rd row홍천상오안농공단지
4th row홍천상오안농공단지
5th row홍천상오안농공단지

Common Values

ValueCountFrequency (%)
홍천상오안농공단지 28
48.3%
홍천화전농공단지 25
43.1%
홍천양덕원농공단지 3
 
5.2%
홍천북방일반산업단지 2
 
3.4%

Length

2024-03-15T01:07:05.144276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:07:05.537580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
홍천상오안농공단지 28
48.3%
홍천화전농공단지 25
43.1%
홍천양덕원농공단지 3
 
5.2%
홍천북방일반산업단지 2
 
3.4%

업체명
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size592.0 B
2024-03-15T01:07:06.551275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length12
Mean length9.2068966
Min length3

Characters and Unicode

Total characters534
Distinct characters160
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

Unique58 ?
Unique (%)100.0%

Sample

1st row(주)S. M. T
2nd row(주)나인앤나인
3rd row(주)모닝캄솔트
4th row(주)미림테크
5th row(주)미림테크 제2공장
ValueCountFrequency (%)
주식회사 11
 
13.1%
제2공장 3
 
3.6%
삼성메디슨(주 2
 
2.4%
주)미림테크 2
 
2.4%
태양3c(주 2
 
2.4%
주)세준에프앤비 2
 
2.4%
제1공장 2
 
2.4%
주)s 1
 
1.2%
영진enc 1
 
1.2%
미래정보기술 1
 
1.2%
Other values (57) 57
67.9%
2024-03-15T01:07:08.457000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 42
 
7.9%
( 33
 
6.2%
) 33
 
6.2%
26
 
4.9%
식 17
 
3.2%
사 16
 
3.0%
회 15
 
2.8%
이 13
 
2.4%
스 10
 
1.9%
성 8
 
1.5%
Other values (150) 321
60.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 422
79.0%
Open Punctuation 33
 
6.2%
Close Punctuation 33
 
6.2%
Space Separator 26
 
4.9%
Uppercase Letter 11
 
2.1%
Decimal Number 7
 
1.3%
Other Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 42
 
10.0%
식 17
 
4.0%
사 16
 
3.8%
회 15
 
3.6%
이 13
 
3.1%
스 10
 
2.4%
성 8
 
1.9%
공 8
 
1.9%
인 8
 
1.9%
장 7
 
1.7%
Other values (134) 278
65.9%
Uppercase Letter
ValueCountFrequency (%)
C 3
27.3%
N 1
 
9.1%
E 1
 
9.1%
A 1
 
9.1%
T 1
 
9.1%
M 1
 
9.1%
S 1
 
9.1%
I 1
 
9.1%
R 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
2 3
42.9%
1 2
28.6%
3 2
28.6%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 422
79.0%
Common 101
 
18.9%
Latin 11
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 42
 
10.0%
식 17
 
4.0%
사 16
 
3.8%
회 15
 
3.6%
이 13
 
3.1%
스 10
 
2.4%
성 8
 
1.9%
공 8
 
1.9%
인 8
 
1.9%
장 7
 
1.7%
Other values (134) 278
65.9%
Latin
ValueCountFrequency (%)
C 3
27.3%
N 1
 
9.1%
E 1
 
9.1%
A 1
 
9.1%
T 1
 
9.1%
M 1
 
9.1%
S 1
 
9.1%
I 1
 
9.1%
R 1
 
9.1%
Common
ValueCountFrequency (%)
( 33
32.7%
) 33
32.7%
26
25.7%
2 3
 
3.0%
1 2
 
2.0%
3 2
 
2.0%
. 2
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 422
79.0%
ASCII 112
 
21.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 42
 
10.0%
식 17
 
4.0%
사 16
 
3.8%
회 15
 
3.6%
이 13
 
3.1%
스 10
 
2.4%
성 8
 
1.9%
공 8
 
1.9%
인 8
 
1.9%
장 7
 
1.7%
Other values (134) 278
65.9%
ASCII
ValueCountFrequency (%)
( 33
29.5%
) 33
29.5%
26
23.2%
C 3
 
2.7%
2 3
 
2.7%
1 2
 
1.8%
3 2
 
1.8%
. 2
 
1.8%
N 1
 
0.9%
E 1
 
0.9%
Other values (6) 6
 
5.4%

대표전화번호
Text

Distinct44
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Memory size592.0 B
2024-03-15T01:07:09.356334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.172414
Min length4

Characters and Unicode

Total characters648
Distinct characters15
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

Unique36 ?
Unique (%)62.1%

Sample

1st row033-435-7131
2nd row033-436-1111
3rd row개인정보
4th row033-436-7800
5th row033-436-7800
ValueCountFrequency (%)
개인정보 6
 
10.3%
033-430-1900 3
 
5.2%
033-436-0666 3
 
5.2%
033-258-6633 2
 
3.4%
033-436-7800 2
 
3.4%
033-435-0660 2
 
3.4%
033-432-9246 2
 
3.4%
033-435-4011 2
 
3.4%
033-435-1233 1
 
1.7%
033-433-9337 1
 
1.7%
Other values (34) 34
58.6%
2024-03-15T01:07:10.629452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 168
25.9%
- 104
16.0%
0 96
14.8%
4 70
10.8%
6 42
 
6.5%
5 31
 
4.8%
2 28
 
4.3%
1 25
 
3.9%
8 22
 
3.4%
7 20
 
3.1%
Other values (5) 42
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 520
80.2%
Dash Punctuation 104
 
16.0%
Other Letter 24
 
3.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 168
32.3%
0 96
18.5%
4 70
13.5%
6 42
 
8.1%
5 31
 
6.0%
2 28
 
5.4%
1 25
 
4.8%
8 22
 
4.2%
7 20
 
3.8%
9 18
 
3.5%
Other Letter
ValueCountFrequency (%)
개 6
25.0%
인 6
25.0%
정 6
25.0%
보 6
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 624
96.3%
Hangul 24
 
3.7%

Most frequent character per script

Common
ValueCountFrequency (%)
3 168
26.9%
- 104
16.7%
0 96
15.4%
4 70
11.2%
6 42
 
6.7%
5 31
 
5.0%
2 28
 
4.5%
1 25
 
4.0%
8 22
 
3.5%
7 20
 
3.2%
Hangul
ValueCountFrequency (%)
개 6
25.0%
인 6
25.0%
정 6
25.0%
보 6
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 624
96.3%
Hangul 24
 
3.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 168
26.9%
- 104
16.7%
0 96
15.4%
4 70
11.2%
6 42
 
6.7%
5 31
 
5.0%
2 28
 
4.5%
1 25
 
4.0%
8 22
 
3.5%
7 20
 
3.2%
Hangul
ValueCountFrequency (%)
개 6
25.0%
인 6
25.0%
정 6
25.0%
보 6
25.0%

종업원수
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.637931
Minimum0
Maximum311
Zeros1
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size650.0 B
2024-03-15T01:07:11.014253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median7.5
Q319.25
95-th percentile89.3
Maximum311
Range311
Interquartile range (IQR)15.25

Descriptive statistics

Standard deviation45.658034
Coefficient of variation (CV)2.0168819
Kurtosis28.301593
Mean22.637931
Median Absolute Deviation (MAD)5
Skewness4.816914
Sum1313
Variance2084.6561
MonotonicityNot monotonic
2024-03-15T01:07:11.473224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
4 8
 
13.8%
5 5
 
8.6%
2 5
 
8.6%
11 4
 
6.9%
1 3
 
5.2%
6 3
 
5.2%
14 3
 
5.2%
8 2
 
3.4%
3 2
 
3.4%
26 2
 
3.4%
Other values (19) 21
36.2%
ValueCountFrequency (%)
0 1
 
1.7%
1 3
 
5.2%
2 5
8.6%
3 2
 
3.4%
4 8
13.8%
5 5
8.6%
6 3
 
5.2%
7 2
 
3.4%
8 2
 
3.4%
9 2
 
3.4%
ValueCountFrequency (%)
311 1
1.7%
93 1
1.7%
91 1
1.7%
89 1
1.7%
87 1
1.7%
83 1
1.7%
50 1
1.7%
40 1
1.7%
39 1
1.7%
34 1
1.7%

생산품(주요업종)
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size592.0 B
2024-03-15T01:07:12.592180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length23
Mean length13.051724
Min length2

Characters and Unicode

Total characters757
Distinct characters212
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

Unique58 ?
Unique (%)100.0%

Sample

1st row의료용침대
2nd row플라스틱수납장, 수납상자
3rd row탈취제
4th row농업용 비닐
5th row콘크리트 제품
ValueCountFrequency (%)
및 4
 
2.8%
계장제어장치 4
 
2.8%
등 4
 
2.8%
제품 3
 
2.1%
도료 3
 
2.1%
합성수지 3
 
2.1%
외 2
 
1.4%
배전반 2
 
1.4%
미끄럼방지포장재 2
 
1.4%
교량난간 2
 
1.4%
Other values (114) 116
80.0%
2024-03-15T01:07:14.130107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
88
 
11.6%
, 53
 
7.0%
제 28
 
3.7%
기 22
 
2.9%
장 18
 
2.4%
품 12
 
1.6%
수 12
 
1.6%
어 11
 
1.5%
료 10
 
1.3%
치 10
 
1.3%
Other values (202) 493
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 579
76.5%
Space Separator 88
 
11.6%
Other Punctuation 55
 
7.3%
Uppercase Letter 17
 
2.2%
Lowercase Letter 7
 
0.9%
Close Punctuation 4
 
0.5%
Open Punctuation 4
 
0.5%
Dash Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 28
 
4.8%
기 22
 
3.8%
장 18
 
3.1%
품 12
 
2.1%
수 12
 
2.1%
어 11
 
1.9%
료 10
 
1.7%
치 10
 
1.7%
재 10
 
1.7%
전 10
 
1.7%
Other values (179) 436
75.3%
Uppercase Letter
ValueCountFrequency (%)
I 3
17.6%
J 3
17.6%
L 2
11.8%
D 2
11.8%
S 2
11.8%
E 1
 
5.9%
F 1
 
5.9%
P 1
 
5.9%
V 1
 
5.9%
A 1
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
s 2
28.6%
b 1
14.3%
r 1
14.3%
o 1
14.3%
e 1
14.3%
y 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 53
96.4%
" 1
 
1.8%
. 1
 
1.8%
Space Separator
ValueCountFrequency (%)
88
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 579
76.5%
Common 154
 
20.3%
Latin 24
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 28
 
4.8%
기 22
 
3.8%
장 18
 
3.1%
품 12
 
2.1%
수 12
 
2.1%
어 11
 
1.9%
료 10
 
1.7%
치 10
 
1.7%
재 10
 
1.7%
전 10
 
1.7%
Other values (179) 436
75.3%
Latin
ValueCountFrequency (%)
I 3
12.5%
J 3
12.5%
L 2
 
8.3%
D 2
 
8.3%
s 2
 
8.3%
S 2
 
8.3%
E 1
 
4.2%
b 1
 
4.2%
F 1
 
4.2%
P 1
 
4.2%
Other values (6) 6
25.0%
Common
ValueCountFrequency (%)
88
57.1%
, 53
34.4%
) 4
 
2.6%
( 4
 
2.6%
- 3
 
1.9%
" 1
 
0.6%
. 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 579
76.5%
ASCII 178
 
23.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
88
49.4%
, 53
29.8%
) 4
 
2.2%
( 4
 
2.2%
- 3
 
1.7%
I 3
 
1.7%
J 3
 
1.7%
L 2
 
1.1%
D 2
 
1.1%
s 2
 
1.1%
Other values (13) 14
 
7.9%
Hangul
ValueCountFrequency (%)
제 28
 
4.8%
기 22
 
3.8%
장 18
 
3.1%
품 12
 
2.1%
수 12
 
2.1%
어 11
 
1.9%
료 10
 
1.7%
치 10
 
1.7%
재 10
 
1.7%
전 10
 
1.7%
Other values (179) 436
75.3%

공장대표주소
Text

Distinct42
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Memory size592.0 B
2024-03-15T01:07:15.029981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length31
Mean length25.155172
Min length21

Characters and Unicode

Total characters1459
Distinct characters55
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)51.7%

Sample

1st row강원특별자치도 홍천군 홍천읍 농공단지길 24-14
2nd row강원특별자치도 홍천군 남면 흥성길 119
3rd row강원특별자치도 홍천군 홍천읍 농공단지길 17
4th row강원특별자치도 홍천군 홍천읍 농공단지길 18
5th row강원특별자치도 홍천군 홍천읍 농공단지길 28
ValueCountFrequency (%)
강원특별자치도 58
18.9%
홍천군 58
18.9%
홍천읍 28
9.1%
남면 28
9.1%
농공단지길 27
8.8%
흥성길 25
8.1%
1필지 6
 
2.0%
외 6
 
2.0%
17 5
 
1.6%
23-19 5
 
1.6%
Other values (43) 61
19.9%
2024-03-15T01:07:16.108438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
249
 
17.1%
천 86
 
5.9%
홍 86
 
5.9%
도 60
 
4.1%
원 58
 
4.0%
군 58
 
4.0%
강 58
 
4.0%
치 58
 
4.0%
자 58
 
4.0%
별 58
 
4.0%
Other values (45) 630
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 991
67.9%
Space Separator 249
 
17.1%
Decimal Number 191
 
13.1%
Dash Punctuation 21
 
1.4%
Other Punctuation 3
 
0.2%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 86
 
8.7%
홍 86
 
8.7%
도 60
 
6.1%
원 58
 
5.9%
군 58
 
5.9%
강 58
 
5.9%
치 58
 
5.9%
자 58
 
5.9%
별 58
 
5.9%
특 58
 
5.9%
Other values (30) 353
35.6%
Decimal Number
ValueCountFrequency (%)
1 57
29.8%
2 33
17.3%
3 31
16.2%
7 15
 
7.9%
9 15
 
7.9%
6 13
 
6.8%
4 11
 
5.8%
0 8
 
4.2%
8 6
 
3.1%
5 2
 
1.0%
Space Separator
ValueCountFrequency (%)
249
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 991
67.9%
Common 468
32.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 86
 
8.7%
홍 86
 
8.7%
도 60
 
6.1%
원 58
 
5.9%
군 58
 
5.9%
강 58
 
5.9%
치 58
 
5.9%
자 58
 
5.9%
별 58
 
5.9%
특 58
 
5.9%
Other values (30) 353
35.6%
Common
ValueCountFrequency (%)
249
53.2%
1 57
 
12.2%
2 33
 
7.1%
3 31
 
6.6%
- 21
 
4.5%
7 15
 
3.2%
9 15
 
3.2%
6 13
 
2.8%
4 11
 
2.4%
0 8
 
1.7%
Other values (5) 15
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 991
67.9%
ASCII 468
32.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
249
53.2%
1 57
 
12.2%
2 33
 
7.1%
3 31
 
6.6%
- 21
 
4.5%
7 15
 
3.2%
9 15
 
3.2%
6 13
 
2.8%
4 11
 
2.4%
0 8
 
1.7%
Other values (5) 15
 
3.2%
Hangul
ValueCountFrequency (%)
천 86
 
8.7%
홍 86
 
8.7%
도 60
 
6.1%
원 58
 
5.9%
군 58
 
5.9%
강 58
 
5.9%
치 58
 
5.9%
자 58
 
5.9%
별 58
 
5.9%
특 58
 
5.9%
Other values (30) 353
35.6%

업종명
Text

Distinct47
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Memory size592.0 B
2024-03-15T01:07:17.119305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length18.551724
Min length7

Characters and Unicode

Total characters1076
Distinct characters138
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)67.2%

Sample

1st row의료용 가구 제조업
2nd row포장용 플라스틱 성형용기 제조업 외 1 종
3rd row생물 살균.살충제 및 식물보호제 제조업 외 1 종
4th row플라스틱 필름 제조업
5th row콘크리트 타일, 기와, 벽돌 및 블록 제조업 외 1 종
ValueCountFrequency (%)
제조업 55
15.5%
외 40
 
11.3%
종 36
 
10.2%
및 24
 
6.8%
1 18
 
5.1%
기타 17
 
4.8%
2 8
 
2.3%
플라스틱 8
 
2.3%
전기 6
 
1.7%
일반용 6
 
1.7%
Other values (86) 136
38.4%
2024-03-15T01:07:18.554615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
296
27.5%
제 74
 
6.9%
조 63
 
5.9%
업 58
 
5.4%
외 41
 
3.8%
종 36
 
3.3%
기 33
 
3.1%
및 24
 
2.2%
1 22
 
2.0%
타 19
 
1.8%
Other values (128) 410
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 732
68.0%
Space Separator 296
27.5%
Decimal Number 39
 
3.6%
Other Punctuation 7
 
0.7%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 74
 
10.1%
조 63
 
8.6%
업 58
 
7.9%
외 41
 
5.6%
종 36
 
4.9%
기 33
 
4.5%
및 24
 
3.3%
타 19
 
2.6%
품 17
 
2.3%
용 16
 
2.2%
Other values (117) 351
48.0%
Decimal Number
ValueCountFrequency (%)
1 22
56.4%
2 9
23.1%
3 4
 
10.3%
5 2
 
5.1%
8 1
 
2.6%
6 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 6
85.7%
. 1
 
14.3%
Space Separator
ValueCountFrequency (%)
296
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 732
68.0%
Common 344
32.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 74
 
10.1%
조 63
 
8.6%
업 58
 
7.9%
외 41
 
5.6%
종 36
 
4.9%
기 33
 
4.5%
및 24
 
3.3%
타 19
 
2.6%
품 17
 
2.3%
용 16
 
2.2%
Other values (117) 351
48.0%
Common
ValueCountFrequency (%)
296
86.0%
1 22
 
6.4%
2 9
 
2.6%
, 6
 
1.7%
3 4
 
1.2%
5 2
 
0.6%
) 1
 
0.3%
( 1
 
0.3%
8 1
 
0.3%
6 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 732
68.0%
ASCII 344
32.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
296
86.0%
1 22
 
6.4%
2 9
 
2.6%
, 6
 
1.7%
3 4
 
1.2%
5 2
 
0.6%
) 1
 
0.3%
( 1
 
0.3%
8 1
 
0.3%
6 1
 
0.3%
Hangul
ValueCountFrequency (%)
제 74
 
10.1%
조 63
 
8.6%
업 58
 
7.9%
외 41
 
5.6%
종 36
 
4.9%
기 33
 
4.5%
및 24
 
3.3%
타 19
 
2.6%
품 17
 
2.3%
용 16
 
2.2%
Other values (117) 351
48.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size592.0 B
Minimum2024-01-19 00:00:00
Maximum2024-01-19 00:00:00
2024-03-15T01:07:18.898759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:07:19.208037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-15T01:07:03.874125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T01:07:19.433869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
산업단지명업체명대표전화번호종업원수생산품(주요업종)공장대표주소업종명
산업단지명1.0001.0000.7240.8071.0001.0000.883
업체명1.0001.0001.0001.0001.0001.0001.000
대표전화번호0.7241.0001.0000.8751.0000.9650.972
종업원수0.8071.0000.8751.0001.0000.7760.847
생산품(주요업종)1.0001.0001.0001.0001.0001.0001.000
공장대표주소1.0001.0000.9650.7761.0001.0000.927
업종명0.8831.0000.9720.8471.0000.9271.000
2024-03-15T01:07:19.719325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종업원수산업단지명
종업원수1.0000.448
산업단지명0.4481.000

Missing values

2024-03-15T01:07:04.309102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T01:07:04.740936image/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

산업단지명업체명대표전화번호종업원수생산품(주요업종)공장대표주소업종명데이터기준일자
0홍천상오안농공단지(주)S. M. T033-435-713134의료용침대강원특별자치도 홍천군 홍천읍 농공단지길 24-14의료용 가구 제조업2024-01-19
1홍천화전농공단지(주)나인앤나인033-436-111126플라스틱수납장, 수납상자강원특별자치도 홍천군 남면 흥성길 119포장용 플라스틱 성형용기 제조업 외 1 종2024-01-19
2홍천상오안농공단지(주)모닝캄솔트개인정보4탈취제강원특별자치도 홍천군 홍천읍 농공단지길 17생물 살균.살충제 및 식물보호제 제조업 외 1 종2024-01-19
3홍천상오안농공단지(주)미림테크033-436-78006농업용 비닐강원특별자치도 홍천군 홍천읍 농공단지길 18플라스틱 필름 제조업2024-01-19
4홍천상오안농공단지(주)미림테크 제2공장033-436-78006콘크리트 제품강원특별자치도 홍천군 홍천읍 농공단지길 28콘크리트 타일, 기와, 벽돌 및 블록 제조업 외 1 종2024-01-19
5홍천상오안농공단지(주)비피도033-435-496283발효유, 유산균원말,인삼.홍삼제품, 생물학적 제제 외강원특별자치도 홍천군 홍천읍 농공단지길 23-16액상시유 및 기타 낙농제품 제조업 외 1 종2024-01-19
6홍천북방일반산업단지(주)삼양패키징033-434-94223플라스틱 병강원특별자치도 홍천군 북방면 도둔길 49 (하이트맥주)포장용 플라스틱 성형용기 제조업2024-01-19
7홍천상오안농공단지(주)샌드로블록033-435-06606콘크리트호안 및 옹벽블록, 콘크리트블록 등강원특별자치도 홍천군 홍천읍 농공단지길 17콘크리트 관 및 기타 구조용 콘크리트 제품 제조업2024-01-19
8홍천화전농공단지(주)세준에프앤비 제1공장033-432-924689누룽지 등강원특별자치도 홍천군 남면 흥성길 53기타 곡물 가공품 제조업 외 2 종2024-01-19
9홍천화전농공단지(주)세준에프앤비 제2공장033-432-924650떡류, 면류강원특별자치도 홍천군 남면 흥성길 89떡류 제조업 외 1 종2024-01-19
산업단지명업체명대표전화번호종업원수생산품(주요업종)공장대표주소업종명데이터기준일자
48홍천상오안농공단지클라우스기타033-436-39713기타강원특별자치도 홍천군 홍천읍 농공단지길 23-11현악기 제조업2024-01-19
49홍천상오안농공단지태양3C(주)033-435-401187Probe Ass"y, LVDS강원특별자치도 홍천군 홍천읍 농공단지길 23-18그 외 기타 전자부품 제조업 외 1 종2024-01-19
50홍천상오안농공단지태양3C(주) 본점033-435-401117전자부품강원특별자치도 홍천군 홍천읍 농공단지길 23-21그 외 기타 전자부품 제조업 외 1 종2024-01-19
51홍천화전농공단지팬덤 패브리케이션(주)033-432-700111이동식 트레일러강원특별자치도 홍천군 남면 흥성길 201트레일러 및 세미트레일러 제조업2024-01-19
52홍천북방일반산업단지하이트진로(주) 강원공장033-430-8100311맥주강원특별자치도 홍천군 북방면 도둔길 49 (하이트맥주)맥아 및 맥주 제조업 외 2 종2024-01-19
53홍천양덕원농공단지한국플라스틱개인정보14의료기기 사출부품, 합성수지 제품강원특별자치도 홍천군 남면 한서로 3366-1운송장비 조립용 플라스틱제품 제조업 외 1 종2024-01-19
54홍천상오안농공단지한울로드주식회사033-435-52758교량난간, 시설물, 금속재울타리, 관람석강원특별자치도 홍천군 홍천읍 농공단지길 23-9육상 금속 골조 구조재 제조업 외 12 종2024-01-19
55홍천상오안농공단지홍천축산업협동조합033-434-86184축산물 가공강원특별자치도 홍천군 홍천읍 농공단지길 23-10육류 기타 가공 및 저장처리업 (가금류 제외) 외 1 종2024-01-19
56홍천상오안농공단지홍천축산업협동조합(늘푸름 홍천한우 전용사료 공장)033-434-34124사료제조강원특별자치도 홍천군 홍천읍 농공단지길 24-14배합 사료 제조업 외 1 종2024-01-19
57홍천화전농공단지효자원식품개인정보8현미국수, 메밀국수, 보리국수강원특별자치도 홍천군 남면 흥성길 143면류, 마카로니 및 유사식품 제조업2024-01-19