Overview

Dataset statistics

Number of variables6
Number of observations231
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.2 KiB
Average record size in memory49.6 B

Variable types

Numeric1
Text3
Categorical1
DateTime1

Dataset

Description충청북도 내에 소재하고 있는 화장품과 관련된 업종의 업체 정보를 csv 파일로 제공합니다. (순번, 업체명, 업종, 대표자명, 허가일자, 주소)
URLhttps://www.data.go.kr/data/15091220/fileData.do

Alerts

업종 has constant value ""Constant
순번 has unique valuesUnique
업체명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-11 22:48:23.607837
Analysis finished2023-12-11 22:48:24.161763
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct231
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116
Minimum1
Maximum231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T07:48:24.243785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.5
Q158.5
median116
Q3173.5
95-th percentile219.5
Maximum231
Range230
Interquartile range (IQR)115

Descriptive statistics

Standard deviation66.828138
Coefficient of variation (CV)0.57610464
Kurtosis-1.2
Mean116
Median Absolute Deviation (MAD)58
Skewness0
Sum26796
Variance4466
MonotonicityStrictly increasing
2023-12-12T07:48:24.382015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
160 1
 
0.4%
148 1
 
0.4%
149 1
 
0.4%
150 1
 
0.4%
151 1
 
0.4%
152 1
 
0.4%
153 1
 
0.4%
154 1
 
0.4%
155 1
 
0.4%
Other values (221) 221
95.7%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
231 1
0.4%
230 1
0.4%
229 1
0.4%
228 1
0.4%
227 1
0.4%
226 1
0.4%
225 1
0.4%
224 1
0.4%
223 1
0.4%
222 1
0.4%

업체명
Text

UNIQUE 

Distinct231
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T07:48:24.610486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length14
Mean length7.8658009
Min length2

Characters and Unicode

Total characters1817
Distinct characters250
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

Unique231 ?
Unique (%)100.0%

Sample

1st row(주)나우코스
2nd row고그린스
3rd row대봉엘에스(주)
4th row김현정코스메틱(천연이야기)
5th row(주)엠코스메틱
ValueCountFrequency (%)
주식회사 5
 
2.1%
주)나우코스 1
 
0.4%
주)동양이앤피 1
 
0.4%
주)코바스 1
 
0.4%
주)승일 1
 
0.4%
주)엔베코코스메틱 1
 
0.4%
주)비앤원코스메틱 1
 
0.4%
주)예봉인터내셔날 1
 
0.4%
리바이벌 1
 
0.4%
주)씨아이티 1
 
0.4%
Other values (224) 224
94.1%
2023-12-12T07:48:24.994452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 191
 
10.5%
( 185
 
10.2%
) 185
 
10.2%
스 96
 
5.3%
코 71
 
3.9%
이 62
 
3.4%
아 37
 
2.0%
메 36
 
2.0%
리 31
 
1.7%
틱 29
 
1.6%
Other values (240) 894
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1436
79.0%
Open Punctuation 185
 
10.2%
Close Punctuation 185
 
10.2%
Space Separator 8
 
0.4%
Uppercase Letter 2
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 191
 
13.3%
스 96
 
6.7%
코 71
 
4.9%
이 62
 
4.3%
아 37
 
2.6%
메 36
 
2.5%
리 31
 
2.2%
틱 29
 
2.0%
사 22
 
1.5%
에 21
 
1.5%
Other values (234) 840
58.5%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
E 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 185
100.0%
Close Punctuation
ValueCountFrequency (%)
) 185
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1436
79.0%
Common 379
 
20.9%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 191
 
13.3%
스 96
 
6.7%
코 71
 
4.9%
이 62
 
4.3%
아 37
 
2.6%
메 36
 
2.5%
리 31
 
2.2%
틱 29
 
2.0%
사 22
 
1.5%
에 21
 
1.5%
Other values (234) 840
58.5%
Common
ValueCountFrequency (%)
( 185
48.8%
) 185
48.8%
8
 
2.1%
. 1
 
0.3%
Latin
ValueCountFrequency (%)
M 1
50.0%
E 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1436
79.0%
ASCII 381
 
21.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 191
 
13.3%
스 96
 
6.7%
코 71
 
4.9%
이 62
 
4.3%
아 37
 
2.6%
메 36
 
2.5%
리 31
 
2.2%
틱 29
 
2.0%
사 22
 
1.5%
에 21
 
1.5%
Other values (234) 840
58.5%
ASCII
ValueCountFrequency (%)
( 185
48.6%
) 185
48.6%
8
 
2.1%
M 1
 
0.3%
. 1
 
0.3%
E 1
 
0.3%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
화장품제조
231 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
화장품제조 231
100.0%

Length

2023-12-12T07:48:25.124600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:48:25.205947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
화장품제조 231
100.0%

대표자명
Text

Distinct228
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T07:48:25.474125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length3
Mean length3.3290043
Min length2

Characters and Unicode

Total characters769
Distinct characters149
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

Unique225 ?
Unique (%)97.4%

Sample

1st row노향선,김태원
2nd row정은경
3rd row박진오,박종호
4th row김현정
5th row임 우 순
ValueCountFrequency (%)
이경희 2
 
0.8%
강 2
 
0.8%
이영호 2
 
0.8%
김태화 2
 
0.8%
이중철 1
 
0.4%
손명구 1
 
0.4%
김주원,박정완 1
 
0.4%
노향선,김태원 1
 
0.4%
정민경 1
 
0.4%
김동명 1
 
0.4%
Other values (228) 228
94.2%
2023-12-12T07:48:25.913496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 55
 
7.2%
이 38
 
4.9%
정 34
 
4.4%
박 22
 
2.9%
영 18
 
2.3%
진 18
 
2.3%
태 16
 
2.1%
경 15
 
2.0%
, 14
 
1.8%
13
 
1.7%
Other values (139) 526
68.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 731
95.1%
Other Punctuation 14
 
1.8%
Space Separator 13
 
1.7%
Uppercase Letter 9
 
1.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 55
 
7.5%
이 38
 
5.2%
정 34
 
4.7%
박 22
 
3.0%
영 18
 
2.5%
진 18
 
2.5%
태 16
 
2.2%
경 15
 
2.1%
수 13
 
1.8%
현 13
 
1.8%
Other values (126) 489
66.9%
Uppercase Letter
ValueCountFrequency (%)
K 1
11.1%
I 1
11.1%
M 1
11.1%
T 1
11.1%
A 1
11.1%
E 1
11.1%
W 1
11.1%
O 1
11.1%
N 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 731
95.1%
Common 29
 
3.8%
Latin 9
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 55
 
7.5%
이 38
 
5.2%
정 34
 
4.7%
박 22
 
3.0%
영 18
 
2.5%
진 18
 
2.5%
태 16
 
2.2%
경 15
 
2.1%
수 13
 
1.8%
현 13
 
1.8%
Other values (126) 489
66.9%
Latin
ValueCountFrequency (%)
K 1
11.1%
I 1
11.1%
M 1
11.1%
T 1
11.1%
A 1
11.1%
E 1
11.1%
W 1
11.1%
O 1
11.1%
N 1
11.1%
Common
ValueCountFrequency (%)
, 14
48.3%
13
44.8%
( 1
 
3.4%
) 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 731
95.1%
ASCII 38
 
4.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 55
 
7.5%
이 38
 
5.2%
정 34
 
4.7%
박 22
 
3.0%
영 18
 
2.5%
진 18
 
2.5%
태 16
 
2.2%
경 15
 
2.1%
수 13
 
1.8%
현 13
 
1.8%
Other values (126) 489
66.9%
ASCII
ValueCountFrequency (%)
, 14
36.8%
13
34.2%
K 1
 
2.6%
( 1
 
2.6%
I 1
 
2.6%
M 1
 
2.6%
T 1
 
2.6%
A 1
 
2.6%
E 1
 
2.6%
W 1
 
2.6%
Other values (3) 3
 
7.9%

허가일자
Date

Distinct191
Distinct (%)82.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2012-03-22 00:00:00
Maximum2023-08-17 00:00:00
2023-12-12T07:48:26.037850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:48:26.171725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

주소
Text

UNIQUE 

Distinct231
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T07:48:26.507164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length47
Mean length29.424242
Min length19

Characters and Unicode

Total characters6797
Distinct characters248
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

Unique231 ?
Unique (%)100.0%

Sample

1st row충청북도 괴산군 칠성면 칠성로1길 10 1층 일부(두번째칸)
2nd row충청북도 음성군 맹동면 초금로332번길 103 1층 일부
3rd row충청북도 음성군 맹동면 사예3길 18 2층 202-1호(무지개타워)
4th row충청북도 청주시 흥덕구 오송읍 봉산3길 30-11 1층
5th row충청북도 충주시 대소원면 첨단산업로 357
ValueCountFrequency (%)
충청북도 231
 
16.1%
청주시 97
 
6.8%
음성군 65
 
4.5%
흥덕구 50
 
3.5%
1층 30
 
2.1%
청원구 22
 
1.5%
서원구 17
 
1.2%
충주시 17
 
1.2%
오송읍 17
 
1.2%
진천군 16
 
1.1%
Other values (524) 870
60.8%
2023-12-12T07:48:27.012365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1486
21.9%
청 370
 
5.4%
1 281
 
4.1%
충 261
 
3.8%
북 241
 
3.5%
도 234
 
3.4%
2 174
 
2.6%
로 174
 
2.6%
시 126
 
1.9%
주 125
 
1.8%
Other values (238) 3325
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3996
58.8%
Space Separator 1487
 
21.9%
Decimal Number 1127
 
16.6%
Dash Punctuation 71
 
1.0%
Other Punctuation 39
 
0.6%
Close Punctuation 34
 
0.5%
Open Punctuation 34
 
0.5%
Uppercase Letter 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 370
 
9.3%
충 261
 
6.5%
북 241
 
6.0%
도 234
 
5.9%
로 174
 
4.4%
시 126
 
3.2%
주 125
 
3.1%
길 110
 
2.8%
군 108
 
2.7%
면 101
 
2.5%
Other values (214) 2146
53.7%
Decimal Number
ValueCountFrequency (%)
1 281
24.9%
2 174
15.4%
3 125
11.1%
0 114
10.1%
4 101
 
9.0%
6 90
 
8.0%
5 76
 
6.7%
7 65
 
5.8%
8 55
 
4.9%
9 46
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
A 2
22.2%
F 2
22.2%
L 1
11.1%
B 1
11.1%
S 1
11.1%
R 1
11.1%
E 1
11.1%
Space Separator
ValueCountFrequency (%)
1486
99.9%
　 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
, 37
94.9%
. 2
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 71
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3996
58.8%
Common 2792
41.1%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 370
 
9.3%
충 261
 
6.5%
북 241
 
6.0%
도 234
 
5.9%
로 174
 
4.4%
시 126
 
3.2%
주 125
 
3.1%
길 110
 
2.8%
군 108
 
2.7%
면 101
 
2.5%
Other values (214) 2146
53.7%
Common
ValueCountFrequency (%)
1486
53.2%
1 281
 
10.1%
2 174
 
6.2%
3 125
 
4.5%
0 114
 
4.1%
4 101
 
3.6%
6 90
 
3.2%
5 76
 
2.7%
- 71
 
2.5%
7 65
 
2.3%
Other values (7) 209
 
7.5%
Latin
ValueCountFrequency (%)
A 2
22.2%
F 2
22.2%
L 1
11.1%
B 1
11.1%
S 1
11.1%
R 1
11.1%
E 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3996
58.8%
ASCII 2800
41.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1486
53.1%
1 281
 
10.0%
2 174
 
6.2%
3 125
 
4.5%
0 114
 
4.1%
4 101
 
3.6%
6 90
 
3.2%
5 76
 
2.7%
- 71
 
2.5%
7 65
 
2.3%
Other values (13) 217
 
7.8%
Hangul
ValueCountFrequency (%)
청 370
 
9.3%
충 261
 
6.5%
북 241
 
6.0%
도 234
 
5.9%
로 174
 
4.4%
시 126
 
3.2%
주 125
 
3.1%
길 110
 
2.8%
군 108
 
2.7%
면 101
 
2.5%
Other values (214) 2146
53.7%
None
ValueCountFrequency (%)
　 1
100.0%

Interactions

2023-12-12T07:48:23.937962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T07:48:24.036191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T07:48:24.125570image/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

순번업체명업종대표자명허가일자주소
01(주)나우코스화장품제조노향선,김태원2023-08-17충청북도 괴산군 칠성면 칠성로1길 10 1층 일부(두번째칸)
12고그린스화장품제조정은경2023-08-02충청북도 음성군 맹동면 초금로332번길 103 1층 일부
23대봉엘에스(주)화장품제조박진오,박종호2023-07-18충청북도 음성군 맹동면 사예3길 18 2층 202-1호(무지개타워)
34김현정코스메틱(천연이야기)화장품제조김현정2023-07-06충청북도 청주시 흥덕구 오송읍 봉산3길 30-11 1층
45(주)엠코스메틱화장품제조임 우 순2023-07-06충청북도 충주시 대소원면 첨단산업로 357
56옥시젠디벨롭먼트(주)화장품제조김진옥2023-06-30충청북도 음성군 금왕읍 성본산단2로 39 (주)태원산업
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