Overview

Dataset statistics

Number of variables12
Number of observations142
Missing cells156
Missing cells (%)9.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.7 KiB
Average record size in memory98.9 B

Variable types

Numeric2
Text6
Categorical3
DateTime1

Dataset

Description충청북도 증평군에 위치한 기업체현황에 대한 데이터로 기업체명, 대표자명, 주소, 생산품, 전화번호 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/3037945/fileData.do

Alerts

비고 has constant value ""Constant
데이터기준일자 has constant value ""Constant
종업원수 is highly overall correlated with 대표자명 and 1 other fieldsHigh correlation
대표자명 is highly overall correlated with 종업원수High correlation
홈페이지 is highly overall correlated with 종업원수High correlation
홈페이지 is highly imbalanced (62.3%)Imbalance
전화번호 has 15 (10.6%) missing valuesMissing
비고 has 141 (99.3%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:05:07.244290
Analysis finished2023-12-12 01:05:09.004759
Duration1.76 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct142
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.5
Minimum1
Maximum142
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T10:05:09.089116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.05
Q136.25
median71.5
Q3106.75
95-th percentile134.95
Maximum142
Range141
Interquartile range (IQR)70.5

Descriptive statistics

Standard deviation41.135953
Coefficient of variation (CV)0.57532802
Kurtosis-1.2
Mean71.5
Median Absolute Deviation (MAD)35.5
Skewness0
Sum10153
Variance1692.1667
MonotonicityStrictly increasing
2023-12-12T10:05:09.297510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
99 1
 
0.7%
93 1
 
0.7%
94 1
 
0.7%
95 1
 
0.7%
96 1
 
0.7%
97 1
 
0.7%
98 1
 
0.7%
100 1
 
0.7%
91 1
 
0.7%
Other values (132) 132
93.0%
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 (%)
142 1
0.7%
141 1
0.7%
140 1
0.7%
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%

기업체명
Text

Distinct140
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:09.612952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length8.3380282
Min length3

Characters and Unicode

Total characters1184
Distinct characters227
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

Unique138 ?
Unique (%)97.2%

Sample

1st row(주)그린위치
2nd row(주)금당
3rd row(주)농협홍삼
4th row(주)대영
5th row(주)덕산식품 증평공장
ValueCountFrequency (%)
주식회사 20
 
11.5%
농업회사법인 8
 
4.6%
주)에프앤피 2
 
1.1%
주)우진산전 2
 
1.1%
대연식품 1
 
0.6%
삼화제재소 1
 
0.6%
제이에스팩키지(주 1
 
0.6%
정우세라믹 1
 
0.6%
장안하이텍 1
 
0.6%
장뜰영농조합법인 1
 
0.6%
Other values (136) 136
78.2%
2023-12-12T10:05:10.114789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 116
 
9.8%
( 96
 
8.1%
) 96
 
8.1%
사 36
 
3.0%
회 33
 
2.8%
32
 
2.7%
이 28
 
2.4%
스 26
 
2.2%
인 26
 
2.2%
식 25
 
2.1%
Other values (217) 670
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 948
80.1%
Open Punctuation 96
 
8.1%
Close Punctuation 96
 
8.1%
Space Separator 32
 
2.7%
Uppercase Letter 11
 
0.9%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 116
 
12.2%
사 36
 
3.8%
회 33
 
3.5%
이 28
 
3.0%
스 26
 
2.7%
인 26
 
2.7%
식 25
 
2.6%
에 22
 
2.3%
업 21
 
2.2%
농 18
 
1.9%
Other values (204) 597
63.0%
Uppercase Letter
ValueCountFrequency (%)
T 2
18.2%
S 2
18.2%
H 1
9.1%
G 1
9.1%
N 1
9.1%
E 1
9.1%
K 1
9.1%
C 1
9.1%
I 1
9.1%
Open Punctuation
ValueCountFrequency (%)
( 96
100.0%
Close Punctuation
ValueCountFrequency (%)
) 96
100.0%
Space Separator
ValueCountFrequency (%)
32
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 948
80.1%
Common 225
 
19.0%
Latin 11
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 116
 
12.2%
사 36
 
3.8%
회 33
 
3.5%
이 28
 
3.0%
스 26
 
2.7%
인 26
 
2.7%
식 25
 
2.6%
에 22
 
2.3%
업 21
 
2.2%
농 18
 
1.9%
Other values (204) 597
63.0%
Latin
ValueCountFrequency (%)
T 2
18.2%
S 2
18.2%
H 1
9.1%
G 1
9.1%
N 1
9.1%
E 1
9.1%
K 1
9.1%
C 1
9.1%
I 1
9.1%
Common
ValueCountFrequency (%)
( 96
42.7%
) 96
42.7%
32
 
14.2%
2 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 948
80.1%
ASCII 236
 
19.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 116
 
12.2%
사 36
 
3.8%
회 33
 
3.5%
이 28
 
3.0%
스 26
 
2.7%
인 26
 
2.7%
식 25
 
2.6%
에 22
 
2.3%
업 21
 
2.2%
농 18
 
1.9%
Other values (204) 597
63.0%
ASCII
ValueCountFrequency (%)
( 96
40.7%
) 96
40.7%
32
 
13.6%
T 2
 
0.8%
S 2
 
0.8%
H 1
 
0.4%
G 1
 
0.4%
N 1
 
0.4%
E 1
 
0.4%
K 1
 
0.4%
Other values (3) 3
 
1.3%

대표자명
Categorical

HIGH CORRELATION 

Distinct50
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
김**
20 
이**
13 
박**
12 
최**
9 
정**
 
6
Other values (45)
82 

Length

Max length16
Median length3
Mean length3.584507
Min length3

Unique

Unique22 ?
Unique (%)15.5%

Sample

1st row유**
2nd row이**
3rd row박**
4th row신**
5th row박**

Common Values

ValueCountFrequency (%)
김** 20
 
14.1%
이** 13
 
9.2%
박** 12
 
8.5%
최** 9
 
6.3%
정** 6
 
4.2%
신** 5
 
3.5%
조** 5
 
3.5%
서** 3
 
2.1%
윤** 3
 
2.1%
백** 3
 
2.1%
Other values (40) 63
44.4%

Length

2023-12-12T10:05:10.328301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
김 28
17.7%
이 18
 
11.4%
박 17
 
10.8%
최 11
 
7.0%
정 7
 
4.4%
신 5
 
3.2%
조 5
 
3.2%
강 4
 
2.5%
문 3
 
1.9%
안 3
 
1.9%
Other values (32) 57
36.1%

소재지 지번주소
Text

Distinct139
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:10.604079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length36
Mean length25.795775
Min length20

Characters and Unicode

Total characters3663
Distinct characters152
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

Unique136 ?
Unique (%)95.8%

Sample

1st row충청북도 증평군 도안면 노암리 산 52번지 (주)그린위치 산 52
2nd row충청북도 증평군 증평읍 내성리 204-2
3rd row충청북도 증평군 증평읍 초중리 310-1번지
4th row충청북도 증평군 도안면 노암리 926
5th row충청북도 증평군 도안면 노암리 128
ValueCountFrequency (%)
충청북도 142
16.8%
증평군 142
16.8%
도안면 75
 
8.9%
증평읍 67
 
7.9%
노암리 41
 
4.9%
외 40
 
4.7%
1필지 18
 
2.1%
미암리 17
 
2.0%
화성리 12
 
1.4%
용강리 11
 
1.3%
Other values (200) 279
33.1%
2023-12-12T10:05:10.975238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
702
19.2%
도 228
 
6.2%
증 214
 
5.8%
평 210
 
5.7%
충 144
 
3.9%
리 144
 
3.9%
청 144
 
3.9%
북 143
 
3.9%
군 142
 
3.9%
1 112
 
3.1%
Other values (142) 1480
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2301
62.8%
Space Separator 702
 
19.2%
Decimal Number 556
 
15.2%
Dash Punctuation 72
 
2.0%
Open Punctuation 15
 
0.4%
Close Punctuation 15
 
0.4%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 228
 
9.9%
증 214
 
9.3%
평 210
 
9.1%
충 144
 
6.3%
리 144
 
6.3%
청 144
 
6.3%
북 143
 
6.2%
군 142
 
6.2%
지 111
 
4.8%
안 76
 
3.3%
Other values (126) 745
32.4%
Decimal Number
ValueCountFrequency (%)
1 112
20.1%
2 74
13.3%
9 56
10.1%
3 56
10.1%
0 49
8.8%
4 49
8.8%
5 44
 
7.9%
8 40
 
7.2%
6 40
 
7.2%
7 36
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
702
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2301
62.8%
Common 1360
37.1%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 228
 
9.9%
증 214
 
9.3%
평 210
 
9.1%
충 144
 
6.3%
리 144
 
6.3%
청 144
 
6.3%
북 143
 
6.2%
군 142
 
6.2%
지 111
 
4.8%
안 76
 
3.3%
Other values (126) 745
32.4%
Common
ValueCountFrequency (%)
702
51.6%
1 112
 
8.2%
2 74
 
5.4%
- 72
 
5.3%
9 56
 
4.1%
3 56
 
4.1%
0 49
 
3.6%
4 49
 
3.6%
5 44
 
3.2%
8 40
 
2.9%
Other values (4) 106
 
7.8%
Latin
ValueCountFrequency (%)
K 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2301
62.8%
ASCII 1362
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
702
51.5%
1 112
 
8.2%
2 74
 
5.4%
- 72
 
5.3%
9 56
 
4.1%
3 56
 
4.1%
0 49
 
3.6%
4 49
 
3.6%
5 44
 
3.2%
8 40
 
2.9%
Other values (6) 108
 
7.9%
Hangul
ValueCountFrequency (%)
도 228
 
9.9%
증 214
 
9.3%
평 210
 
9.1%
충 144
 
6.3%
리 144
 
6.3%
청 144
 
6.3%
북 143
 
6.2%
군 142
 
6.2%
지 111
 
4.8%
안 76
 
3.3%
Other values (126) 745
32.4%

소재지 도로명주소
Text

Distinct138
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:11.212475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length36
Mean length26.93662
Min length18

Characters and Unicode

Total characters3825
Distinct characters203
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

Unique134 ?
Unique (%)94.4%

Sample

1st row충청북도 증평군 도안면 증평2산단로 20, (주)그린위치
2nd row충청북도 증평군 증평읍 보건복지로 106
3rd row충청북도 증평군 증평읍 중앙로 88
4th row충청북도 증평군 도안면 증평2산단로 70
5th row충청북도 증평군 도안면 노암로 129
ValueCountFrequency (%)
충청북도 142
16.1%
증평군 142
16.1%
도안면 76
 
8.6%
증평읍 71
 
8.0%
외 40
 
4.5%
증평2산단로 28
 
3.2%
1필지 18
 
2.0%
2필지 10
 
1.1%
원명로 7
 
0.8%
필지 7
 
0.8%
Other values (232) 342
38.7%
2023-12-12T10:05:11.691014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
741
19.4%
평 258
 
6.7%
증 252
 
6.6%
도 220
 
5.8%
충 146
 
3.8%
청 146
 
3.8%
북 142
 
3.7%
군 142
 
3.7%
2 98
 
2.6%
1 97
 
2.5%
Other values (193) 1583
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2435
63.7%
Space Separator 741
 
19.4%
Decimal Number 473
 
12.4%
Close Punctuation 68
 
1.8%
Open Punctuation 68
 
1.8%
Dash Punctuation 24
 
0.6%
Other Punctuation 13
 
0.3%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
평 258
 
10.6%
증 252
 
10.3%
도 220
 
9.0%
충 146
 
6.0%
청 146
 
6.0%
북 142
 
5.8%
군 142
 
5.8%
로 96
 
3.9%
안 77
 
3.2%
면 76
 
3.1%
Other values (175) 880
36.1%
Decimal Number
ValueCountFrequency (%)
2 98
20.7%
1 97
20.5%
3 49
10.4%
6 38
 
8.0%
4 36
 
7.6%
5 35
 
7.4%
9 32
 
6.8%
8 32
 
6.8%
0 28
 
5.9%
7 28
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
M 1
33.3%
T 1
33.3%
Space Separator
ValueCountFrequency (%)
741
100.0%
Close Punctuation
ValueCountFrequency (%)
) 68
100.0%
Open Punctuation
ValueCountFrequency (%)
( 68
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2435
63.7%
Common 1387
36.3%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
평 258
 
10.6%
증 252
 
10.3%
도 220
 
9.0%
충 146
 
6.0%
청 146
 
6.0%
북 142
 
5.8%
군 142
 
5.8%
로 96
 
3.9%
안 77
 
3.2%
면 76
 
3.1%
Other values (175) 880
36.1%
Common
ValueCountFrequency (%)
741
53.4%
2 98
 
7.1%
1 97
 
7.0%
) 68
 
4.9%
( 68
 
4.9%
3 49
 
3.5%
6 38
 
2.7%
4 36
 
2.6%
5 35
 
2.5%
9 32
 
2.3%
Other values (5) 125
 
9.0%
Latin
ValueCountFrequency (%)
C 1
33.3%
M 1
33.3%
T 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2435
63.7%
ASCII 1390
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
741
53.3%
2 98
 
7.1%
1 97
 
7.0%
) 68
 
4.9%
( 68
 
4.9%
3 49
 
3.5%
6 38
 
2.7%
4 36
 
2.6%
5 35
 
2.5%
9 32
 
2.3%
Other values (8) 128
 
9.2%
Hangul
ValueCountFrequency (%)
평 258
 
10.6%
증 252
 
10.3%
도 220
 
9.0%
충 146
 
6.0%
청 146
 
6.0%
북 142
 
5.8%
군 142
 
5.8%
로 96
 
3.9%
안 77
 
3.2%
면 76
 
3.1%
Other values (175) 880
36.1%

종업원수
Real number (ℝ)

HIGH CORRELATION 

Distinct49
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.697183
Minimum1
Maximum880
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T10:05:11.887406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median10
Q322.5
95-th percentile253.75
Maximum880
Range879
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation120.21859
Coefficient of variation (CV)2.630766
Kurtosis24.549125
Mean45.697183
Median Absolute Deviation (MAD)6
Skewness4.6624071
Sum6489
Variance14452.51
MonotonicityNot monotonic
2023-12-12T10:05:12.081850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
10 19
 
13.4%
5 14
 
9.9%
2 9
 
6.3%
6 8
 
5.6%
4 8
 
5.6%
3 8
 
5.6%
15 7
 
4.9%
13 6
 
4.2%
7 5
 
3.5%
1 4
 
2.8%
Other values (39) 54
38.0%
ValueCountFrequency (%)
1 4
 
2.8%
2 9
6.3%
3 8
5.6%
4 8
5.6%
5 14
9.9%
6 8
5.6%
7 5
 
3.5%
8 4
 
2.8%
10 19
13.4%
11 2
 
1.4%
ValueCountFrequency (%)
880 1
0.7%
700 1
0.7%
568 1
0.7%
392 1
0.7%
330 2
1.4%
325 1
0.7%
255 1
0.7%
230 1
0.7%
140 2
1.4%
138 1
0.7%

설립연도
Date

Distinct138
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum1987-08-26 00:00:00
Maximum2023-04-14 00:00:00
2023-12-12T10:05:12.255515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:05:12.801674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

생산품
Text

Distinct140
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:13.083485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length31.5
Mean length12.943662
Min length2

Characters and Unicode

Total characters1838
Distinct characters356
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique138 ?
Unique (%)97.2%

Sample

1st row분말조미료
2nd rowPVC 창호
3rd row홍삼 가공제품(홍삼, 홍삼차, 홍삼엑기스 등)
4th row회전말뚝
5th row떡류, 면류
ValueCountFrequency (%)
등 10
 
2.9%
및 6
 
1.8%
외 6
 
1.8%
콘크리트 3
 
0.9%
소포장 3
 
0.9%
혼합음료 2
 
0.6%
창호 2
 
0.6%
cell 2
 
0.6%
화장품 2
 
0.6%
분말(파우더 2
 
0.6%
Other values (293) 301
88.8%
2023-12-12T10:05:13.578757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
197
 
10.7%
, 124
 
6.7%
기 44
 
2.4%
스 36
 
2.0%
품 29
 
1.6%
) 27
 
1.5%
( 27
 
1.5%
장 25
 
1.4%
리 24
 
1.3%
전 23
 
1.3%
Other values (346) 1282
69.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1253
68.2%
Space Separator 197
 
10.7%
Other Punctuation 130
 
7.1%
Uppercase Letter 112
 
6.1%
Lowercase Letter 65
 
3.5%
Close Punctuation 27
 
1.5%
Open Punctuation 27
 
1.5%
Decimal Number 21
 
1.1%
Dash Punctuation 5
 
0.3%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 44
 
3.5%
스 36
 
2.9%
품 29
 
2.3%
장 25
 
2.0%
리 24
 
1.9%
전 23
 
1.8%
용 18
 
1.4%
조 18
 
1.4%
크 17
 
1.4%
육 16
 
1.3%
Other values (295) 1003
80.0%
Uppercase Letter
ValueCountFrequency (%)
C 16
14.3%
S 12
 
10.7%
L 9
 
8.0%
M 8
 
7.1%
P 7
 
6.2%
H 7
 
6.2%
D 7
 
6.2%
F 6
 
5.4%
A 5
 
4.5%
V 5
 
4.5%
Other values (11) 30
26.8%
Lowercase Letter
ValueCountFrequency (%)
e 10
15.4%
i 8
12.3%
a 7
10.8%
l 7
10.8%
r 7
10.8%
o 5
7.7%
t 4
 
6.2%
s 4
 
6.2%
d 4
 
6.2%
n 3
 
4.6%
Other values (4) 6
9.2%
Decimal Number
ValueCountFrequency (%)
3 6
28.6%
2 5
23.8%
6 3
14.3%
4 2
 
9.5%
1 2
 
9.5%
0 2
 
9.5%
8 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 124
95.4%
/ 4
 
3.1%
% 1
 
0.8%
. 1
 
0.8%
Space Separator
ValueCountFrequency (%)
197
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1253
68.2%
Common 408
 
22.2%
Latin 177
 
9.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 44
 
3.5%
스 36
 
2.9%
품 29
 
2.3%
장 25
 
2.0%
리 24
 
1.9%
전 23
 
1.8%
용 18
 
1.4%
조 18
 
1.4%
크 17
 
1.4%
육 16
 
1.3%
Other values (295) 1003
80.0%
Latin
ValueCountFrequency (%)
C 16
 
9.0%
S 12
 
6.8%
e 10
 
5.6%
L 9
 
5.1%
i 8
 
4.5%
M 8
 
4.5%
P 7
 
4.0%
a 7
 
4.0%
H 7
 
4.0%
l 7
 
4.0%
Other values (25) 86
48.6%
Common
ValueCountFrequency (%)
197
48.3%
, 124
30.4%
) 27
 
6.6%
( 27
 
6.6%
3 6
 
1.5%
2 5
 
1.2%
- 5
 
1.2%
/ 4
 
1.0%
6 3
 
0.7%
4 2
 
0.5%
Other values (6) 8
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1253
68.2%
ASCII 585
31.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
197
33.7%
, 124
21.2%
) 27
 
4.6%
( 27
 
4.6%
C 16
 
2.7%
S 12
 
2.1%
e 10
 
1.7%
L 9
 
1.5%
i 8
 
1.4%
M 8
 
1.4%
Other values (41) 147
25.1%
Hangul
ValueCountFrequency (%)
기 44
 
3.5%
스 36
 
2.9%
품 29
 
2.3%
장 25
 
2.0%
리 24
 
1.9%
전 23
 
1.8%
용 18
 
1.4%
조 18
 
1.4%
크 17
 
1.4%
육 16
 
1.3%
Other values (295) 1003
80.0%

전화번호
Text

MISSING 

Distinct122
Distinct (%)96.1%
Missing15
Missing (%)10.6%
Memory size1.2 KiB
2023-12-12T10:05:13.935095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12
Min length11

Characters and Unicode

Total characters1524
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

Unique117 ?
Unique (%)92.1%

Sample

1st row043-836-7960
2nd row043-836-0392
3rd row043-835-8400
4th row031-312-9501
5th row043-838-0083
ValueCountFrequency (%)
043-838-5678 2
 
1.6%
043-820-4111 2
 
1.6%
031-312-9501 2
 
1.6%
043-836-1751 2
 
1.6%
043-901-7104 2
 
1.6%
043-836-1966 1
 
0.8%
043-820-1122 1
 
0.8%
070-4447-0347 1
 
0.8%
031-300-0484 1
 
0.8%
02-2121-4804 1
 
0.8%
Other values (112) 112
88.2%
2023-12-12T10:05:14.472297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 265
17.4%
- 254
16.7%
0 229
15.0%
8 218
14.3%
4 161
10.6%
1 93
 
6.1%
6 75
 
4.9%
7 66
 
4.3%
2 66
 
4.3%
5 59
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1270
83.3%
Dash Punctuation 254
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 265
20.9%
0 229
18.0%
8 218
17.2%
4 161
12.7%
1 93
 
7.3%
6 75
 
5.9%
7 66
 
5.2%
2 66
 
5.2%
5 59
 
4.6%
9 38
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 254
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1524
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 265
17.4%
- 254
16.7%
0 229
15.0%
8 218
14.3%
4 161
10.6%
1 93
 
6.1%
6 75
 
4.9%
7 66
 
4.3%
2 66
 
4.3%
5 59
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1524
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 265
17.4%
- 254
16.7%
0 229
15.0%
8 218
14.3%
4 161
10.6%
1 93
 
6.1%
6 75
 
4.9%
7 66
 
4.3%
2 66
 
4.3%
5 59
 
3.9%

홈페이지
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct31
Distinct (%)21.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
데이터 미집계
110 
www.fnpco.com
 
2
www.hanguru.net
 
2
www.cobon.co.kr
 
1
www.deok-u.co.kr
 
1
Other values (26)
26 

Length

Max length28
Median length7
Mean length9.2887324
Min length7

Unique

Unique28 ?
Unique (%)19.7%

Sample

1st row데이터 미집계
2nd row데이터 미집계
3rd rowwww.nkgc.co.kr
4th row데이터 미집계
5th row데이터 미집계

Common Values

ValueCountFrequency (%)
데이터 미집계 110
77.5%
www.fnpco.com 2
 
1.4%
www.hanguru.net 2
 
1.4%
www.cobon.co.kr 1
 
0.7%
www.deok-u.co.kr 1
 
0.7%
www.dse.co.kr 1
 
0.7%
http://www.dnpcorp.co.kr 1
 
0.7%
www.macrocare.net 1
 
0.7%
www.suheung.com 1
 
0.7%
www.cesco.co.kr 1
 
0.7%
Other values (21) 21
 
14.8%

Length

2023-12-12T10:05:14.641375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
데이터 110
43.7%
미집계 110
43.7%
www.fnpco.com 2
 
0.8%
www.hanguru.net 2
 
0.8%
http://www.kor-al.co.kr 1
 
0.4%
www.kisco.co.kr 1
 
0.4%
pulmuone.co.kr 1
 
0.4%
www.kooyong.co.kr 1
 
0.4%
www.nkgc.co.kr 1
 
0.4%
www.jangddul.com 1
 
0.4%
Other values (22) 22
 
8.7%

비고
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing141
Missing (%)99.3%
Memory size1.2 KiB
2023-12-12T10:05:14.750672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row휴업
ValueCountFrequency (%)
휴업 1
100.0%
2023-12-12T10:05:15.012353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
휴 1
50.0%
업 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
휴 1
50.0%
업 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
휴 1
50.0%
업 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
휴 1
50.0%
업 1
50.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-08-03
142 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-03
2nd row2023-08-03
3rd row2023-08-03
4th row2023-08-03
5th row2023-08-03

Common Values

ValueCountFrequency (%)
2023-08-03 142
100.0%

Length

2023-12-12T10:05:15.198191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:05:15.356223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-03 142
100.0%

Interactions

2023-12-12T10:05:08.299023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:05:08.073234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:05:08.424513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:05:08.184799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:05:15.438983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번대표자명종업원수홈페이지
순번1.0000.3680.1410.362
대표자명0.3681.0000.9530.907
종업원수0.1410.9531.0000.923
홈페이지0.3620.9070.9231.000
2023-12-12T10:05:15.560172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
홈페이지대표자명
홈페이지1.0000.362
대표자명0.3621.000
2023-12-12T10:05:15.683732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종업원수대표자명홈페이지
순번1.000-0.0610.0920.118
종업원수-0.0611.0000.6260.622
대표자명0.0920.6261.0000.362
홈페이지0.1180.6220.3621.000

Missing values

2023-12-12T10:05:08.573620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:05:08.787535image/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.
2023-12-12T10:05:08.940983image/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

순번기업체명대표자명소재지 지번주소소재지 도로명주소종업원수설립연도생산품전화번호홈페이지비고데이터기준일자
01(주)그린위치유**충청북도 증평군 도안면 노암리 산 52번지 (주)그린위치 산 52충청북도 증평군 도안면 증평2산단로 20, (주)그린위치302016-06-17분말조미료043-836-7960데이터 미집계<NA>2023-08-03
12(주)금당이**충청북도 증평군 증평읍 내성리 204-2충청북도 증평군 증평읍 보건복지로 10652020-06-22PVC 창호043-836-0392데이터 미집계<NA>2023-08-03
23(주)농협홍삼박**충청북도 증평군 증평읍 초중리 310-1번지충청북도 증평군 증평읍 중앙로 88472009-09-11홍삼 가공제품(홍삼, 홍삼차, 홍삼엑기스 등)043-835-8400www.nkgc.co.kr<NA>2023-08-03
34(주)대영신**충청북도 증평군 도안면 노암리 926충청북도 증평군 도안면 증평2산단로 70102022-12-27회전말뚝031-312-9501데이터 미집계<NA>2023-08-03
45(주)덕산식품 증평공장박**충청북도 증평군 도안면 노암리 128충청북도 증평군 도안면 노암로 129302020-07-07떡류, 면류043-838-0083데이터 미집계<NA>2023-08-03
56(주)덕유정**충청북도 증평군 도안면 도당리 932 덕유(주) 외 1필지충청북도 증평군 도안면 모래재로 190-36 외 1필지131996-09-10플라스틱파레트, 상자043-836-8862www.deok-u.co.kr휴업2023-08-03
67(주)두산문**충청북도 증평군 증평읍 용강리 661번지 외 2필지충청북도 증평군 증평읍 두산로 40 (두산전자(주)) (총 3 필지) 외 2필지3921991-06-27동박적층판043-820-8221www.dse.co.kr<NA>2023-08-03
78(주)두원전기소방김**충청북도 증평군 증평읍 미암리 497-3충청북도 증평군 증평읍 단지바우로2길 4182013-01-28태양광구조물,태양광발전장치, 바닥신호등, LED 조명장치043-838-1009데이터 미집계<NA>2023-08-03
89(주)디엔피코퍼레이션윤**충청북도 증평군 증평읍 내성리 697번지충청북도 증평군 증평읍 초정약수로 1549 (디엔피코페데이션증평공장)1302005-07-21인쇄회로기판043-836-6128http://www.dnpcorp.co.kr<NA>2023-08-03
910(주)디케이백**충청북도 증평군 도안면 노암리 927-0충청북도 증평군 도안면 증평2산단로 82152020-06-15금형 및 자동차부품043-836-1588데이터 미집계<NA>2023-08-03
순번기업체명대표자명소재지 지번주소소재지 도로명주소종업원수설립연도생산품전화번호홈페이지비고데이터기준일자
132133패터니아(주)소**충청북도 증평군 도안면 화성리 232-2번지 (주)에스지텍 2층충청북도 증평군 도안면 화성로 12, 2층 ((주)에스지텍)72019-05-173D LCD PANEL, MONITOR<NA>데이터 미집계<NA>2023-08-03
133134풀무원건강생활(주)오**, 박**충청북도 증평군 도안면 광덕리 456 풀무원충청북도 증평군 도안면 원명로 35 풀무원1141999-01-25건강기능식품, 로젠빈 수 등043-820-8777pulmuone.co.kr<NA>2023-08-03
134135풍남레미콘(주)정**충청북도 증평군 도안면 도당리 778-1번지충청북도 증평군 도안면 모래재로 78 (풍남레미콘)131992-05-27레미콘043-836-7805데이터 미집계<NA>2023-08-03
135136플래티넘크래프트 주식회사배**충청북도 증평군 증평읍 미암리 88번지충청북도 증평군 증평읍 울어바위길 79-46152012-05-14맥주043-838-6076데이터 미집계<NA>2023-08-03
136137피엔티코리아이**, 박**충청북도 증평군 도안면 화성리 541-2번지 외 2필지충청북도 증평군 도안면 구봉정길 85 외 2필지132016-12-01식품용기 및 우유용기043-838-5091데이터 미집계<NA>2023-08-03
137138피엠화학민**충청북도 증평군 증평읍 연탄리 895번지 외 2필지충청북도 증평군 증평읍 초평로 1580-3 (피엠화학) (총 3 필지) 외 2필지112004-01-02플라스틱 재생원료043-836-3446데이터 미집계<NA>2023-08-03
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139140현대종합특수강(주)이**충청북도 증평군 도안면 노암리 902충청북도 증평군 도안면 증평2산단로 1551232019-09-27CHQ Wire 등043-830-9022www.hyundai-specialsteel.com<NA>2023-08-03
140141형제석물연**충청북도 증평군 도안면 화성리 29-2번지 외 4필지충청북도 증평군 도안면 충청대로 2380 (총 5 필지) 외 4필지41991-11-25경계석, 석물, 건축자재<NA>데이터 미집계<NA>2023-08-03
141142흥진두부공장서**충청북도 증평군 증평읍 증천리 1046번지충청북도 증평군 증평읍 협업단지길 6 (흥진두부공장)11992-12-07두부,순두부043-836-3676데이터 미집계<NA>2023-08-03