Overview

Dataset statistics

Number of variables6
Number of observations1981
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory94.9 KiB
Average record size in memory49.1 B

Variable types

Categorical3
Text2
DateTime1

Dataset

Description제주특별자치도 제주시 관내 업체를 대상으로 한 공중 위생 서비스 평가 결과 현황 데이터입니다.항목 : 평가년도, 평가구분, 업종, 업소명, 업소소재지, 데이터기준일
Author제주특별자치도 제주시
URLhttps://www.data.go.kr/data/15056154/fileData.do

Alerts

평가년도 has constant value ""Constant
데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2024-04-06 08:07:06.645023
Analysis finished2024-04-06 08:07:08.704651
Duration2.06 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

평가년도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
2023
1981 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023
2nd row2023
3rd row2023
4th row2023
5th row2023

Common Values

ValueCountFrequency (%)
2023 1981
100.0%

Length

2024-04-06T17:07:08.840007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:07:09.037142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 1981
100.0%

평가구분
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
황색등급
943 
녹색등급
913 
백색등급
125 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
황색등급 943
47.6%
녹색등급 913
46.1%
백색등급 125
 
6.3%

Length

2024-04-06T17:07:09.207402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:07:09.399080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
황색등급 943
47.6%
녹색등급 913
46.1%
백색등급 125
 
6.3%

업종
Categorical

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
일반미용업
923 
피부미용업
343 
종합미용업
263 
네일미용업
245 
이용업
128 

Length

Max length9
Median length5
Mean length5.0302877
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반미용업 923
46.6%
피부미용업 343
 
17.3%
종합미용업 263
 
13.3%
네일미용업 245
 
12.4%
이용업 128
 
6.5%
화장ㆍ분장 미용업 79
 
4.0%

Length

2024-04-06T17:07:09.610547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:07:09.836062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반미용업 923
44.8%
피부미용업 343
 
16.7%
종합미용업 263
 
12.8%
네일미용업 245
 
11.9%
이용업 128
 
6.2%
화장ㆍ분장 79
 
3.8%
미용업 79
 
3.8%

업소명
Text

Distinct1972
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
2024-04-06T17:07:10.389466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length14
Mean length5.1060071
Min length1

Characters and Unicode

Total characters10115
Distinct characters576
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

Unique1963 ?
Unique (%)99.1%

Sample

1st row항운노조후생
2nd row한라이용원
3rd row김녕용암해수사우나구내
4th row영배이용원
5th row문화이용원
ValueCountFrequency (%)
헤어 7
 
0.3%
아라점 5
 
0.2%
헤어아트 3
 
0.1%
에스테틱 3
 
0.1%
피부관리 3
 
0.1%
네일 3
 
0.1%
아로마 3
 
0.1%
더 2
 
0.1%
팜므 2
 
0.1%
앤 2
 
0.1%
Other values (2011) 2032
98.4%
2024-04-06T17:07:11.172875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
어 648
 
6.4%
헤 578
 
5.7%
이 329
 
3.3%
스 258
 
2.6%
일 237
 
2.3%
미 224
 
2.2%
리 219
 
2.2%
네 209
 
2.1%
아 178
 
1.8%
샵 152
 
1.5%
Other values (566) 7083
70.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9955
98.4%
Space Separator 114
 
1.1%
Decimal Number 33
 
0.3%
Close Punctuation 5
 
< 0.1%
Open Punctuation 5
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
어 648
 
6.5%
헤 578
 
5.8%
이 329
 
3.3%
스 258
 
2.6%
일 237
 
2.4%
미 224
 
2.3%
리 219
 
2.2%
네 209
 
2.1%
아 178
 
1.8%
샵 152
 
1.5%
Other values (553) 6923
69.5%
Decimal Number
ValueCountFrequency (%)
1 8
24.2%
2 8
24.2%
9 6
18.2%
5 4
12.1%
4 3
 
9.1%
0 3
 
9.1%
3 1
 
3.0%
Lowercase Letter
ValueCountFrequency (%)
y 1
33.3%
b 1
33.3%
w 1
33.3%
Space Separator
ValueCountFrequency (%)
114
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9955
98.4%
Common 157
 
1.6%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
어 648
 
6.5%
헤 578
 
5.8%
이 329
 
3.3%
스 258
 
2.6%
일 237
 
2.4%
미 224
 
2.3%
리 219
 
2.2%
네 209
 
2.1%
아 178
 
1.8%
샵 152
 
1.5%
Other values (553) 6923
69.5%
Common
ValueCountFrequency (%)
114
72.6%
1 8
 
5.1%
2 8
 
5.1%
9 6
 
3.8%
) 5
 
3.2%
( 5
 
3.2%
5 4
 
2.5%
4 3
 
1.9%
0 3
 
1.9%
3 1
 
0.6%
Latin
ValueCountFrequency (%)
y 1
33.3%
b 1
33.3%
w 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9955
98.4%
ASCII 160
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
어 648
 
6.5%
헤 578
 
5.8%
이 329
 
3.3%
스 258
 
2.6%
일 237
 
2.4%
미 224
 
2.3%
리 219
 
2.2%
네 209
 
2.1%
아 178
 
1.8%
샵 152
 
1.5%
Other values (553) 6923
69.5%
ASCII
ValueCountFrequency (%)
114
71.2%
1 8
 
5.0%
2 8
 
5.0%
9 6
 
3.8%
) 5
 
3.1%
( 5
 
3.1%
5 4
 
2.5%
4 3
 
1.9%
0 3
 
1.9%
y 1
 
0.6%
Other values (3) 3
 
1.9%

업소소재지
Text

Distinct1885
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
2024-04-06T17:07:11.691856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length39
Mean length22.242807
Min length14

Characters and Unicode

Total characters44063
Distinct characters311
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1795 ?
Unique (%)90.6%

Sample

1st row제주시 만덕로3길 2 (건입동)
2nd row제주시 구좌읍 김녕로 90
3rd row제주시 구좌읍 김녕로21길 8, 3층
4th row제주시 구좌읍 김녕로7길 14
5th row제주시 구좌읍 세화2길 15
ValueCountFrequency (%)
제주시 1981
 
20.4%
1층 811
 
8.3%
노형동 317
 
3.3%
연동 258
 
2.7%
2층 218
 
2.2%
이도이동 214
 
2.2%
일도이동 155
 
1.6%
아라일동 100
 
1.0%
도남동 77
 
0.8%
101호 75
 
0.8%
Other values (1580) 5509
56.7%
2024-04-06T17:07:12.555555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7735
17.6%
1 2703
 
6.1%
주 2067
 
4.7%
동 2064
 
4.7%
제 2017
 
4.6%
시 1988
 
4.5%
) 1809
 
4.1%
( 1809
 
4.1%
, 1503
 
3.4%
로 1347
 
3.1%
Other values (301) 19021
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22860
51.9%
Decimal Number 7973
 
18.1%
Space Separator 7735
 
17.6%
Close Punctuation 1810
 
4.1%
Open Punctuation 1809
 
4.1%
Other Punctuation 1508
 
3.4%
Dash Punctuation 353
 
0.8%
Uppercase Letter 10
 
< 0.1%
Math Symbol 4
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2067
 
9.0%
동 2064
 
9.0%
제 2017
 
8.8%
시 1988
 
8.7%
로 1347
 
5.9%
층 1214
 
5.3%
길 1211
 
5.3%
이 885
 
3.9%
도 876
 
3.8%
일 708
 
3.1%
Other values (276) 8483
37.1%
Decimal Number
ValueCountFrequency (%)
1 2703
33.9%
2 1265
15.9%
3 782
 
9.8%
0 587
 
7.4%
4 585
 
7.3%
5 526
 
6.6%
6 432
 
5.4%
8 372
 
4.7%
7 362
 
4.5%
9 359
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
B 5
50.0%
A 2
 
20.0%
C 1
 
10.0%
D 1
 
10.0%
J 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 1503
99.7%
. 4
 
0.3%
/ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1809
99.9%
] 1
 
0.1%
Space Separator
ValueCountFrequency (%)
7735
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1809
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 353
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22860
51.9%
Common 21192
48.1%
Latin 11
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2067
 
9.0%
동 2064
 
9.0%
제 2017
 
8.8%
시 1988
 
8.7%
로 1347
 
5.9%
층 1214
 
5.3%
길 1211
 
5.3%
이 885
 
3.9%
도 876
 
3.8%
일 708
 
3.1%
Other values (276) 8483
37.1%
Common
ValueCountFrequency (%)
7735
36.5%
1 2703
 
12.8%
) 1809
 
8.5%
( 1809
 
8.5%
, 1503
 
7.1%
2 1265
 
6.0%
3 782
 
3.7%
0 587
 
2.8%
4 585
 
2.8%
5 526
 
2.5%
Other values (9) 1888
 
8.9%
Latin
ValueCountFrequency (%)
B 5
45.5%
A 2
 
18.2%
Ⅱ 1
 
9.1%
C 1
 
9.1%
D 1
 
9.1%
J 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22860
51.9%
ASCII 21202
48.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7735
36.5%
1 2703
 
12.7%
) 1809
 
8.5%
( 1809
 
8.5%
, 1503
 
7.1%
2 1265
 
6.0%
3 782
 
3.7%
0 587
 
2.8%
4 585
 
2.8%
5 526
 
2.5%
Other values (14) 1898
 
9.0%
Hangul
ValueCountFrequency (%)
주 2067
 
9.0%
동 2064
 
9.0%
제 2017
 
8.8%
시 1988
 
8.7%
로 1347
 
5.9%
층 1214
 
5.3%
길 1211
 
5.3%
이 885
 
3.9%
도 876
 
3.8%
일 708
 
3.1%
Other values (276) 8483
37.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
Minimum2023-11-20 00:00:00
Maximum2023-11-20 00:00:00
2024-04-06T17:07:12.763304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:07:12.930002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2024-04-06T17:07:13.059566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
평가구분업종
평가구분1.0000.285
업종0.2851.000
2024-04-06T17:07:13.202600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종평가구분
업종1.0000.123
평가구분0.1231.000
2024-04-06T17:07:13.364765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
평가구분업종
평가구분1.0000.123
업종0.1231.000

Missing values

2024-04-06T17:07:07.965362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:07:08.611324image/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

평가년도평가구분업종업소명업소소재지데이터기준일자
02023녹색등급이용업항운노조후생제주시 만덕로3길 2 (건입동)2023-11-20
12023녹색등급이용업한라이용원제주시 구좌읍 김녕로 902023-11-20
22023녹색등급이용업김녕용암해수사우나구내제주시 구좌읍 김녕로21길 8, 3층2023-11-20
32023녹색등급이용업영배이용원제주시 구좌읍 김녕로7길 142023-11-20
42023녹색등급이용업문화이용원제주시 구좌읍 세화2길 152023-11-20
52023녹색등급이용업런던사우나구내이용원제주시 남녕로 53, 3층 (노형동)2023-11-20
62023녹색등급이용업닥터포헤어제주점제주시 노형8길 7, 6층 (노형동)2023-11-20
72023녹색등급이용업서울사우나구내제주시 노형로 283, 2층 (노형동)2023-11-20
82023녹색등급이용업하와이목욕탕구내제주시 도령로 40 (노형동)2023-11-20
92023녹색등급이용업온누리제주시 수덕5길 35 (노형동,지상1층)2023-11-20
평가년도평가구분업종업소명업소소재지데이터기준일자
19712023백색등급종합미용업아까르마제주시 남성로 22 (용담일동)2023-11-20
19722023백색등급종합미용업웃뜨르팜헤어제주시 서문로2길 20-4, 1층 (용담일동)2023-11-20
19732023백색등급종합미용업구남살롱제주시 구남동2길 14, 1층 (이도이동)2023-11-20
19742023백색등급종합미용업주공제주시 구남로7길 36 (이도이동,1층 103호)2023-11-20
19752023백색등급종합미용업온헤어제주시 독짓골4길 11-6, 1층 104호 (도남동, 도남우주아파트)2023-11-20
19762023백색등급종합미용업맘모스미용실제주시 고마로13길 17, 1층 (일도이동)2023-11-20
19772023백색등급종합미용업호반제주시 신산로13길 33 (일도이동)2023-11-20
19782023백색등급종합미용업자매제주시 일도이동 1102-232023-11-20
19792023백색등급종합미용업센스미용실제주시 한경면 두신로 772023-11-20
19802023백색등급종합미용업민지헤어샾제주시 한림읍 한림로 644, 1층2023-11-20