Overview

Dataset statistics

Number of variables4
Number of observations226
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.4 KiB
Average record size in memory33.6 B

Variable types

Numeric1
Text2
Categorical1

Dataset

Description복지용구를 공급하는 226개의 업체들에 관한 자료로 업체명, 제조 및 수입 여부, 공급업체의 주소지를 포함하고 있는 자료입니다.
URLhttps://www.data.go.kr/data/3051418/fileData.do

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:49:46.340967
Analysis finished2023-12-12 10:49:46.903782
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct226
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.5
Minimum1
Maximum226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-12T19:49:46.992704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.25
Q157.25
median113.5
Q3169.75
95-th percentile214.75
Maximum226
Range225
Interquartile range (IQR)112.5

Descriptive statistics

Standard deviation65.384759
Coefficient of variation (CV)0.57607717
Kurtosis-1.2
Mean113.5
Median Absolute Deviation (MAD)56.5
Skewness0
Sum25651
Variance4275.1667
MonotonicityStrictly increasing
2023-12-12T19:49:47.179972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
171 1
 
0.4%
145 1
 
0.4%
146 1
 
0.4%
147 1
 
0.4%
148 1
 
0.4%
149 1
 
0.4%
150 1
 
0.4%
151 1
 
0.4%
152 1
 
0.4%
Other values (216) 216
95.6%
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 (%)
226 1
0.4%
225 1
0.4%
224 1
0.4%
223 1
0.4%
222 1
0.4%
221 1
0.4%
220 1
0.4%
219 1
0.4%
218 1
0.4%
217 1
0.4%

업체명
Text

Distinct225
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T19:49:47.472919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length5.4867257
Min length2

Characters and Unicode

Total characters1240
Distinct characters266
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique224 ?
Unique (%)99.1%

Sample

1st row코리아케어서프라이
2nd row액티브프로코리아
3rd row그레이스 인터내셔날
4th row나이스텍
5th row삼주유니콘
ValueCountFrequency (%)
주식회사 10
 
4.1%
우성이엔지 2
 
0.8%
썸원 1
 
0.4%
애스앤애프 1
 
0.4%
삼성전자(주 1
 
0.4%
메디케어코리아 1
 
0.4%
안앤락 1
 
0.4%
퍼스트케어 1
 
0.4%
세원케어 1
 
0.4%
원테크메디칼 1
 
0.4%
Other values (222) 222
91.7%
2023-12-12T19:49:47.938537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 61
 
4.9%
스 58
 
4.7%
디 39
 
3.1%
케 35
 
2.8%
어 33
 
2.7%
주 32
 
2.6%
에 30
 
2.4%
메 29
 
2.3%
( 23
 
1.9%
) 23
 
1.9%
Other values (256) 877
70.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1147
92.5%
Open Punctuation 23
 
1.9%
Close Punctuation 23
 
1.9%
Space Separator 16
 
1.3%
Lowercase Letter 14
 
1.1%
Uppercase Letter 12
 
1.0%
Other Symbol 2
 
0.2%
Other Punctuation 2
 
0.2%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 61
 
5.3%
스 58
 
5.1%
디 39
 
3.4%
케 35
 
3.1%
어 33
 
2.9%
주 32
 
2.8%
에 30
 
2.6%
메 29
 
2.5%
아 22
 
1.9%
리 20
 
1.7%
Other values (230) 788
68.7%
Uppercase Letter
ValueCountFrequency (%)
K 2
16.7%
S 2
16.7%
B 1
8.3%
G 1
8.3%
N 1
8.3%
E 1
8.3%
L 1
8.3%
R 1
8.3%
T 1
8.3%
D 1
8.3%
Lowercase Letter
ValueCountFrequency (%)
e 2
14.3%
t 2
14.3%
r 2
14.3%
m 2
14.3%
i 2
14.3%
o 1
7.1%
a 1
7.1%
n 1
7.1%
f 1
7.1%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
& 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Decimal Number
ValueCountFrequency (%)
4 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1149
92.7%
Common 65
 
5.2%
Latin 26
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 61
 
5.3%
스 58
 
5.0%
디 39
 
3.4%
케 35
 
3.0%
어 33
 
2.9%
주 32
 
2.8%
에 30
 
2.6%
메 29
 
2.5%
아 22
 
1.9%
리 20
 
1.7%
Other values (231) 790
68.8%
Latin
ValueCountFrequency (%)
K 2
 
7.7%
e 2
 
7.7%
t 2
 
7.7%
r 2
 
7.7%
S 2
 
7.7%
m 2
 
7.7%
i 2
 
7.7%
B 1
 
3.8%
o 1
 
3.8%
G 1
 
3.8%
Other values (9) 9
34.6%
Common
ValueCountFrequency (%)
( 23
35.4%
) 23
35.4%
16
24.6%
4 1
 
1.5%
. 1
 
1.5%
& 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1147
92.5%
ASCII 91
 
7.3%
None 2
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 61
 
5.3%
스 58
 
5.1%
디 39
 
3.4%
케 35
 
3.1%
어 33
 
2.9%
주 32
 
2.8%
에 30
 
2.6%
메 29
 
2.5%
아 22
 
1.9%
리 20
 
1.7%
Other values (230) 788
68.7%
ASCII
ValueCountFrequency (%)
( 23
25.3%
) 23
25.3%
16
17.6%
K 2
 
2.2%
e 2
 
2.2%
t 2
 
2.2%
r 2
 
2.2%
S 2
 
2.2%
m 2
 
2.2%
i 2
 
2.2%
Other values (15) 15
16.5%
None
ValueCountFrequency (%)
㈜ 2
100.0%

제조구분
Categorical

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
제조
157 
수입
55 
제조+수입
 
14

Length

Max length5
Median length2
Mean length2.1858407
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제조+수입
2nd row수입
3rd row수입
4th row제조
5th row제조+수입

Common Values

ValueCountFrequency (%)
제조 157
69.5%
수입 55
 
24.3%
제조+수입 14
 
6.2%

Length

2023-12-12T19:49:48.121744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:49:48.234061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제조 157
69.5%
수입 55
 
24.3%
제조+수입 14
 
6.2%

주소
Text

Distinct222
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T19:49:48.576268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length44
Mean length32.323009
Min length24

Characters and Unicode

Total characters7305
Distinct characters314
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique218 ?
Unique (%)96.5%

Sample

1st row서울특별시 마포구 토정로 194-0(구수동) 3층 301호
2nd row서울특별시 송파구 정의로7길 13-0(문정동) 오피스동 620호
3rd row서울특별시 강남구 개포로22길 96-0(개포동) 포이빌딩
4th row경상북도 경산시 공단4로5길 20-0(진량읍)
5th row경기도 김포시 불당로 39-24(양촌읍)
ValueCountFrequency (%)
경기도 96
 
8.4%
서울특별시 47
 
4.1%
대구광역시 21
 
1.8%
부산광역시 16
 
1.4%
경상남도 13
 
1.1%
화성시 12
 
1.1%
김해시 11
 
1.0%
고양시 11
 
1.0%
3층 9
 
0.8%
경상북도 9
 
0.8%
Other values (680) 895
78.5%
2023-12-12T19:49:49.282817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1448
 
19.8%
0 284
 
3.9%
1 238
 
3.3%
- 234
 
3.2%
) 231
 
3.2%
( 231
 
3.2%
시 224
 
3.1%
동 218
 
3.0%
로 209
 
2.9%
2 176
 
2.4%
Other values (304) 3812
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3793
51.9%
Space Separator 1448
 
19.8%
Decimal Number 1333
 
18.2%
Dash Punctuation 234
 
3.2%
Close Punctuation 231
 
3.2%
Open Punctuation 231
 
3.2%
Uppercase Letter 25
 
0.3%
Other Punctuation 5
 
0.1%
Math Symbol 2
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 224
 
5.9%
동 218
 
5.7%
로 209
 
5.5%
구 149
 
3.9%
도 148
 
3.9%
경 127
 
3.3%
길 110
 
2.9%
기 103
 
2.7%
서 91
 
2.4%
산 88
 
2.3%
Other values (276) 2326
61.3%
Decimal Number
ValueCountFrequency (%)
0 284
21.3%
1 238
17.9%
2 176
13.2%
3 148
11.1%
5 104
 
7.8%
4 98
 
7.4%
6 87
 
6.5%
7 71
 
5.3%
8 66
 
5.0%
9 61
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
B 7
28.0%
T 4
16.0%
S 4
16.0%
K 4
16.0%
I 2
 
8.0%
D 1
 
4.0%
M 1
 
4.0%
C 1
 
4.0%
A 1
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
n 1
50.0%
k 1
50.0%
Space Separator
ValueCountFrequency (%)
1448
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 234
100.0%
Close Punctuation
ValueCountFrequency (%)
) 231
100.0%
Open Punctuation
ValueCountFrequency (%)
( 231
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3793
51.9%
Common 3484
47.7%
Latin 28
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 224
 
5.9%
동 218
 
5.7%
로 209
 
5.5%
구 149
 
3.9%
도 148
 
3.9%
경 127
 
3.3%
길 110
 
2.9%
기 103
 
2.7%
서 91
 
2.4%
산 88
 
2.3%
Other values (276) 2326
61.3%
Common
ValueCountFrequency (%)
1448
41.6%
0 284
 
8.2%
1 238
 
6.8%
- 234
 
6.7%
) 231
 
6.6%
( 231
 
6.6%
2 176
 
5.1%
3 148
 
4.2%
5 104
 
3.0%
4 98
 
2.8%
Other values (6) 292
 
8.4%
Latin
ValueCountFrequency (%)
B 7
25.0%
T 4
14.3%
S 4
14.3%
K 4
14.3%
I 2
 
7.1%
D 1
 
3.6%
M 1
 
3.6%
C 1
 
3.6%
Ⅱ 1
 
3.6%
A 1
 
3.6%
Other values (2) 2
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3793
51.9%
ASCII 3511
48.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1448
41.2%
0 284
 
8.1%
1 238
 
6.8%
- 234
 
6.7%
) 231
 
6.6%
( 231
 
6.6%
2 176
 
5.0%
3 148
 
4.2%
5 104
 
3.0%
4 98
 
2.8%
Other values (17) 319
 
9.1%
Hangul
ValueCountFrequency (%)
시 224
 
5.9%
동 218
 
5.7%
로 209
 
5.5%
구 149
 
3.9%
도 148
 
3.9%
경 127
 
3.3%
길 110
 
2.9%
기 103
 
2.7%
서 91
 
2.4%
산 88
 
2.3%
Other values (276) 2326
61.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

Interactions

2023-12-12T19:49:46.649233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:49:49.452984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번제조구분
연번1.0000.388
제조구분0.3881.000
2023-12-12T19:49:49.596208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번제조구분
연번1.0000.249
제조구분0.2491.000

Missing values

2023-12-12T19:49:46.766474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:49:46.868118image/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

연번업체명제조구분주소
01코리아케어서프라이제조+수입서울특별시 마포구 토정로 194-0(구수동) 3층 301호
12액티브프로코리아수입서울특별시 송파구 정의로7길 13-0(문정동) 오피스동 620호
23그레이스 인터내셔날수입서울특별시 강남구 개포로22길 96-0(개포동) 포이빌딩
34나이스텍제조경상북도 경산시 공단4로5길 20-0(진량읍)
45삼주유니콘제조+수입경기도 김포시 불당로 39-24(양촌읍)
56삼원스카이제조+수입부산광역시 사상구 가야대로176번길 32-0(학장동) 0
67진산메디칼수입서울특별시 서대문구 홍제내2가길 20-0(홍제동)
78엔도젠수입경기도 성남시 중원구 갈마치로 215-0(상대원동) 금강펜테리움IT A동 805호
89실버텍제조대구광역시 달성군 논공중앙로54길 26-0(논공읍)
910세레부 주식회사수입경기도 평택시 칠괴길 118-47(칠괴동)
연번업체명제조구분주소
216217에이블라이크제조경기도 안성시 소사길 60-0(대덕면) 나동
217218(주)모닛제조서울특별시 서초구 효령로 40-0(방배동) 3층
218219(주)에스엠디솔루션제조서울특별시 종로구 대학로 101-0(연건동) 치의학대학원 생체재료동 107-1호
219220(주)미라클메디수입경상남도 김해시 칠산로325번길 5-0(화목동)
220221(주)씨앤엘글로벌제조서울특별시 구로구 부광로 96-5(항동) 구로에이스캠프지식산업센터 6층 608호
221222바이칼메디수입경기도 고양시 덕양구 삼송로 12-0(원흥동) B2층 208호
222223삼한메디수입경기도 광주시 도척윗로 393-0(도척면)
223224(주)아이원케어제조경기도 남양주시 주곡로147번길 35-0(진접읍) 가동
224225(주)마이알제조부산광역시 기장군 매곡길 9-0(정관읍)
225226(주)이즈프로브수입부산광역시 북구 효열로 111-0(금곡동) 111호, 112호