Overview

Dataset statistics

Number of variables4
Number of observations1192
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory37.4 KiB
Average record size in memory32.1 B

Variable types

Categorical2
Text2

Dataset

Description제주특별자치도 제주시 환경보호 업무에 따른 음식물류 폐기물 다량 배출 사업 현황 데이터입니다.
Author제주특별자치도 제주시
URLhttps://www.data.go.kr/data/15056202/fileData.do

Alerts

데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2023-12-12 05:05:19.500110
Analysis finished2023-12-12 05:05:20.114309
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
일반음식점
774 
관광숙박시설
207 
집단급식소
172 
휴게음식점
 
36
대규모점포
 
3

Length

Max length6
Median length5
Mean length5.1736577
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 774
64.9%
관광숙박시설 207
 
17.4%
집단급식소 172
 
14.4%
휴게음식점 36
 
3.0%
대규모점포 3
 
0.3%

Length

2023-12-12T14:05:20.202276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:05:20.322894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 774
64.9%
관광숙박시설 207
 
17.4%
집단급식소 172
 
14.4%
휴게음식점 36
 
3.0%
대규모점포 3
 
0.3%

사업장명
Text

Distinct1180
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
2023-12-12T14:05:20.604165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length6.4941275
Min length1

Characters and Unicode

Total characters7741
Distinct characters609
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1168 ?
Unique (%)98.0%

Sample

1st row개좋아
2nd row버거킹제주이마트점
3rd row루트호텔구내
4th row롯데리아제주공항점
5th row미스터피자제주로데오점
ValueCountFrequency (%)
호텔 10
 
0.8%
제주 8
 
0.6%
관광호텔 6
 
0.5%
호스텔 5
 
0.4%
레스토랑 4
 
0.3%
리조트 3
 
0.2%
다인리조트 3
 
0.2%
의료법인 2
 
0.2%
그랑블제주알앤지(주 2
 
0.2%
휴양콘도미니엄 2
 
0.2%
Other values (1199) 1220
96.4%
2023-12-12T14:05:21.056528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 313
 
4.0%
제 285
 
3.7%
호 204
 
2.6%
스 201
 
2.6%
텔 192
 
2.5%
리 159
 
2.1%
점 153
 
2.0%
이 140
 
1.8%
학 130
 
1.7%
교 124
 
1.6%
Other values (599) 5840
75.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7397
95.6%
Close Punctuation 77
 
1.0%
Open Punctuation 77
 
1.0%
Space Separator 75
 
1.0%
Decimal Number 64
 
0.8%
Uppercase Letter 28
 
0.4%
Other Symbol 12
 
0.2%
Lowercase Letter 6
 
0.1%
Other Punctuation 3
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 313
 
4.2%
제 285
 
3.9%
호 204
 
2.8%
스 201
 
2.7%
텔 192
 
2.6%
리 159
 
2.1%
점 153
 
2.1%
이 140
 
1.9%
학 130
 
1.8%
교 124
 
1.7%
Other values (561) 5496
74.3%
Uppercase Letter
ValueCountFrequency (%)
L 5
17.9%
E 4
14.3%
O 3
10.7%
B 2
 
7.1%
K 2
 
7.1%
T 2
 
7.1%
A 2
 
7.1%
W 1
 
3.6%
I 1
 
3.6%
J 1
 
3.6%
Other values (5) 5
17.9%
Decimal Number
ValueCountFrequency (%)
2 22
34.4%
1 9
14.1%
3 7
 
10.9%
0 6
 
9.4%
5 6
 
9.4%
9 4
 
6.2%
7 3
 
4.7%
6 3
 
4.7%
4 3
 
4.7%
8 1
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
n 1
16.7%
j 1
16.7%
t 1
16.7%
s 1
16.7%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
, 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 77
100.0%
Open Punctuation
ValueCountFrequency (%)
( 77
100.0%
Space Separator
ValueCountFrequency (%)
75
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Number
ValueCountFrequency (%)
① 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7409
95.7%
Common 298
 
3.8%
Latin 34
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 313
 
4.2%
제 285
 
3.8%
호 204
 
2.8%
스 201
 
2.7%
텔 192
 
2.6%
리 159
 
2.1%
점 153
 
2.1%
이 140
 
1.9%
학 130
 
1.8%
교 124
 
1.7%
Other values (562) 5508
74.3%
Latin
ValueCountFrequency (%)
L 5
14.7%
E 4
 
11.8%
O 3
 
8.8%
B 2
 
5.9%
K 2
 
5.9%
T 2
 
5.9%
e 2
 
5.9%
A 2
 
5.9%
W 1
 
2.9%
n 1
 
2.9%
Other values (10) 10
29.4%
Common
ValueCountFrequency (%)
) 77
25.8%
( 77
25.8%
75
25.2%
2 22
 
7.4%
1 9
 
3.0%
3 7
 
2.3%
0 6
 
2.0%
5 6
 
2.0%
9 4
 
1.3%
7 3
 
1.0%
Other values (7) 12
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7397
95.6%
ASCII 331
 
4.3%
None 12
 
0.2%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 313
 
4.2%
제 285
 
3.9%
호 204
 
2.8%
스 201
 
2.7%
텔 192
 
2.6%
리 159
 
2.1%
점 153
 
2.1%
이 140
 
1.9%
학 130
 
1.8%
교 124
 
1.7%
Other values (561) 5496
74.3%
ASCII
ValueCountFrequency (%)
) 77
23.3%
( 77
23.3%
75
22.7%
2 22
 
6.6%
1 9
 
2.7%
3 7
 
2.1%
0 6
 
1.8%
5 6
 
1.8%
L 5
 
1.5%
9 4
 
1.2%
Other values (26) 43
13.0%
None
ValueCountFrequency (%)
㈜ 12
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
① 1
100.0%

소재지
Text

Distinct1088
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
2023-12-12T14:05:21.481088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length21.826342
Min length17

Characters and Unicode

Total characters26017
Distinct characters190
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

Unique1008 ?
Unique (%)84.6%

Sample

1st row제주특별자치도 제주시 1100로 3213-8
2nd row제주특별자치도 제주시 1100로 3348
3rd row제주특별자치도 제주시 고마로15길 33
4th row제주특별자치도 제주시 공항로 2
5th row제주특별자치도 제주시 관덕로11길 3
ValueCountFrequency (%)
제주특별자치도 1192
23.3%
제주시 1192
23.3%
애월읍 140
 
2.7%
한림읍 81
 
1.6%
조천읍 76
 
1.5%
서해안로 49
 
1.0%
구좌읍 39
 
0.8%
중앙로 34
 
0.7%
애월해안로 34
 
0.7%
일주서로 33
 
0.6%
Other values (919) 2255
44.0%
2023-12-12T14:05:22.140321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5036
19.4%
주 2451
 
9.4%
제 2398
 
9.2%
도 1254
 
4.8%
자 1201
 
4.6%
별 1193
 
4.6%
특 1192
 
4.6%
치 1192
 
4.6%
시 1192
 
4.6%
로 912
 
3.5%
Other values (180) 7996
30.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17149
65.9%
Space Separator 5036
 
19.4%
Decimal Number 3633
 
14.0%
Dash Punctuation 196
 
0.8%
Uppercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2451
14.3%
제 2398
14.0%
도 1254
 
7.3%
자 1201
 
7.0%
별 1193
 
7.0%
특 1192
 
7.0%
치 1192
 
7.0%
시 1192
 
7.0%
로 912
 
5.3%
길 390
 
2.3%
Other values (166) 3774
22.0%
Decimal Number
ValueCountFrequency (%)
1 780
21.5%
2 462
12.7%
3 383
10.5%
4 374
10.3%
6 341
9.4%
5 339
9.3%
0 289
 
8.0%
7 259
 
7.1%
8 218
 
6.0%
9 188
 
5.2%
Space Separator
ValueCountFrequency (%)
5036
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 196
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17149
65.9%
Common 8866
34.1%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2451
14.3%
제 2398
14.0%
도 1254
 
7.3%
자 1201
 
7.0%
별 1193
 
7.0%
특 1192
 
7.0%
치 1192
 
7.0%
시 1192
 
7.0%
로 912
 
5.3%
길 390
 
2.3%
Other values (166) 3774
22.0%
Common
ValueCountFrequency (%)
5036
56.8%
1 780
 
8.8%
2 462
 
5.2%
3 383
 
4.3%
4 374
 
4.2%
6 341
 
3.8%
5 339
 
3.8%
0 289
 
3.3%
7 259
 
2.9%
8 218
 
2.5%
Other values (3) 385
 
4.3%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17149
65.9%
ASCII 8868
34.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5036
56.8%
1 780
 
8.8%
2 462
 
5.2%
3 383
 
4.3%
4 374
 
4.2%
6 341
 
3.8%
5 339
 
3.8%
0 289
 
3.3%
7 259
 
2.9%
8 218
 
2.5%
Other values (4) 387
 
4.4%
Hangul
ValueCountFrequency (%)
주 2451
14.3%
제 2398
14.0%
도 1254
 
7.3%
자 1201
 
7.0%
별 1193
 
7.0%
특 1192
 
7.0%
치 1192
 
7.0%
시 1192
 
7.0%
로 912
 
5.3%
길 390
 
2.3%
Other values (166) 3774
22.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
2018-11-30
1192 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018-11-30
2nd row2018-11-30
3rd row2018-11-30
4th row2018-11-30
5th row2018-11-30

Common Values

ValueCountFrequency (%)
2018-11-30 1192
100.0%

Length

2023-12-12T14:05:22.303474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:05:22.415185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-11-30 1192
100.0%

Missing values

2023-12-12T14:05:19.975397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:05:20.077681image/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

업종명사업장명소재지데이터기준일자
0휴게음식점개좋아제주특별자치도 제주시 1100로 3213-82018-11-30
1휴게음식점버거킹제주이마트점제주특별자치도 제주시 1100로 33482018-11-30
2휴게음식점루트호텔구내제주특별자치도 제주시 고마로15길 332018-11-30
3휴게음식점롯데리아제주공항점제주특별자치도 제주시 공항로 22018-11-30
4휴게음식점미스터피자제주로데오점제주특별자치도 제주시 관덕로11길 32018-11-30
5휴게음식점에이바우트커피칠성점제주특별자치도 제주시 관덕로11길 362018-11-30
6휴게음식점오누이제주특별자치도 제주시 구좌읍 한동북1길 29-202018-11-30
7휴게음식점마블러스하도제주특별자치도 제주시 구좌읍 해맞이해안로 16512018-11-30
8휴게음식점한국맥도날드제주노형점제주특별자치도 제주시 노연로 72018-11-30
9휴게음식점더치앤빈노형점제주특별자치도 제주시 노형10길 92018-11-30
업종명사업장명소재지데이터기준일자
1182관광숙박시설이랜드파크 켄싱턴리조트 제주제주특별자치도 제주시 한림읍 한림해안로 5302018-11-30
1183관광숙박시설카이 호스텔제주특별자치도 제주시 한림읍 협재2길 102018-11-30
1184관광숙박시설제주금강산콘도제주특별자치도 제주시 한림읍 협재로 210-182018-11-30
1185관광숙박시설하모니리조트제주특별자치도 제주시 한림읍 협재로 2132018-11-30
1186관광숙박시설더제주리조트제주특별자치도 제주시 한림읍 협재로 2262018-11-30
1187관광숙박시설아덴힐리조트&골프클럽제주특별자치도 제주시 한림읍 화전길 822018-11-30
1188관광숙박시설샹그릴라호텔제주특별자치도 제주시 해안마을북길 14-42018-11-30
1189관광숙박시설캠퍼트리호텔앤리조트제주특별자치도 제주시 해안마을서4길 1002018-11-30
1190관광숙박시설레드월 호스텔제주특별자치도 제주시 현사길 332018-11-30
1191관광숙박시설에바다호스텔제주특별자치도 제주시 현사길 452018-11-30