Overview

Dataset statistics

Number of variables5
Number of observations185
Missing cells9
Missing cells (%)1.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.4 KiB
Average record size in memory40.7 B

Variable types

Categorical1
Text3
DateTime1

Dataset

Description전라남도 나주시의 관내 음식물류폐기물 다량배출사업장(사업장명, 위치, 연락처 등)에 관한 관련 정보를 제공하고자 합니다.
Author전라남도 나주시
URLhttps://www.data.go.kr/data/15099838/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연락처 has 9 (4.9%) missing valuesMissing
사업장명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:43:21.067325
Analysis finished2023-12-12 03:43:21.657839
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
일반음식점
101 
집단급식소
83 
농수산물도매유통센터
 
1

Length

Max length10
Median length5
Mean length5.027027
Min length5

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row농수산물도매유통센터
2nd row일반음식점
3rd row일반음식점
4th row일반음식점
5th row일반음식점

Common Values

ValueCountFrequency (%)
일반음식점 101
54.6%
집단급식소 83
44.9%
농수산물도매유통센터 1
 
0.5%

Length

2023-12-12T12:43:21.743630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:43:21.881294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 101
54.6%
집단급식소 83
44.9%
농수산물도매유통센터 1
 
0.5%

사업장명
Text

UNIQUE 

Distinct185
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T12:43:22.116552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length21
Mean length7.6756757
Min length2

Characters and Unicode

Total characters1420
Distinct characters323
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

Unique185 ?
Unique (%)100.0%

Sample

1st row농협 호남권 친환경 농산물 종합물류센터
2nd row2046팬스테이크 나주혁신점
3rd rowThe Breeze(더브리즈)
4th row가내수공업 나주혁신점
5th row강변장어 돼지갈비
ValueCountFrequency (%)
나주혁신점 9
 
3.8%
㈜동원홈푸드 2
 
0.8%
레스토랑 2
 
0.8%
총각네 2
 
0.8%
푸디스트주식회사 2
 
0.8%
나주공업고등학교 1
 
0.4%
나주광주요양병원 1
 
0.4%
나주동신대 1
 
0.4%
한방병원 1
 
0.4%
나주북초등학교 1
 
0.4%
Other values (214) 214
90.7%
2023-12-12T12:43:22.582177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 57
 
4.0%
52
 
3.7%
나 49
 
3.5%
원 41
 
2.9%
학 39
 
2.7%
교 37
 
2.6%
등 28
 
2.0%
한 26
 
1.8%
가 22
 
1.5%
점 19
 
1.3%
Other values (313) 1050
73.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1306
92.0%
Space Separator 52
 
3.7%
Decimal Number 16
 
1.1%
Uppercase Letter 12
 
0.8%
Other Symbol 11
 
0.8%
Close Punctuation 8
 
0.6%
Open Punctuation 7
 
0.5%
Lowercase Letter 7
 
0.5%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 57
 
4.4%
나 49
 
3.8%
원 41
 
3.1%
학 39
 
3.0%
교 37
 
2.8%
등 28
 
2.1%
한 26
 
2.0%
가 22
 
1.7%
점 19
 
1.5%
식 19
 
1.5%
Other values (291) 969
74.2%
Uppercase Letter
ValueCountFrequency (%)
C 4
33.3%
K 2
16.7%
N 1
 
8.3%
D 1
 
8.3%
P 1
 
8.3%
S 1
 
8.3%
T 1
 
8.3%
B 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
2 6
37.5%
4 4
25.0%
0 3
18.8%
6 2
 
12.5%
9 1
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
e 4
57.1%
h 1
 
14.3%
r 1
 
14.3%
z 1
 
14.3%
Space Separator
ValueCountFrequency (%)
52
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1317
92.7%
Common 84
 
5.9%
Latin 19
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 57
 
4.3%
나 49
 
3.7%
원 41
 
3.1%
학 39
 
3.0%
교 37
 
2.8%
등 28
 
2.1%
한 26
 
2.0%
가 22
 
1.7%
점 19
 
1.4%
식 19
 
1.4%
Other values (292) 980
74.4%
Latin
ValueCountFrequency (%)
C 4
21.1%
e 4
21.1%
K 2
10.5%
N 1
 
5.3%
D 1
 
5.3%
P 1
 
5.3%
S 1
 
5.3%
T 1
 
5.3%
h 1
 
5.3%
B 1
 
5.3%
Other values (2) 2
10.5%
Common
ValueCountFrequency (%)
52
61.9%
) 8
 
9.5%
( 7
 
8.3%
2 6
 
7.1%
4 4
 
4.8%
0 3
 
3.6%
6 2
 
2.4%
& 1
 
1.2%
9 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1306
92.0%
ASCII 103
 
7.3%
None 11
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 57
 
4.4%
나 49
 
3.8%
원 41
 
3.1%
학 39
 
3.0%
교 37
 
2.8%
등 28
 
2.1%
한 26
 
2.0%
가 22
 
1.7%
점 19
 
1.5%
식 19
 
1.5%
Other values (291) 969
74.2%
ASCII
ValueCountFrequency (%)
52
50.5%
) 8
 
7.8%
( 7
 
6.8%
2 6
 
5.8%
4 4
 
3.9%
C 4
 
3.9%
e 4
 
3.9%
0 3
 
2.9%
6 2
 
1.9%
K 2
 
1.9%
Other values (11) 11
 
10.7%
None
ValueCountFrequency (%)
㈜ 11
100.0%

소재지도로명주소
Text

Distinct179
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T12:43:23.002361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length36
Mean length21.675676
Min length14

Characters and Unicode

Total characters4010
Distinct characters177
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

Unique173 ?
Unique (%)93.5%

Sample

1st row전라남도 나주시 산포면 영산로 6187-8
2nd row전라남도 나주시 중야2길 14, 502호
3rd row전라남도 나주시 선창길 11
4th row전라남도 나주시 중야2길 10, 201호(빛가람동)
5th row전라남도 나주시 남평읍 남평1로 82-12
ValueCountFrequency (%)
전라남도 185
20.6%
나주시 185
20.6%
남평읍 16
 
1.8%
그린로 11
 
1.2%
산포면 11
 
1.2%
2층 9
 
1.0%
빛가람로 9
 
1.0%
세남로 9
 
1.0%
문화로 7
 
0.8%
빛가람동 7
 
0.8%
Other values (301) 449
50.0%
2023-12-12T12:43:23.723121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
715
17.8%
남 218
 
5.4%
주 199
 
5.0%
나 198
 
4.9%
도 196
 
4.9%
시 193
 
4.8%
전 190
 
4.7%
라 187
 
4.7%
1 157
 
3.9%
2 116
 
2.9%
Other values (167) 1641
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2417
60.3%
Space Separator 715
 
17.8%
Decimal Number 699
 
17.4%
Dash Punctuation 48
 
1.2%
Open Punctuation 38
 
0.9%
Close Punctuation 38
 
0.9%
Other Punctuation 28
 
0.7%
Connector Punctuation 21
 
0.5%
Uppercase Letter 5
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 218
 
9.0%
주 199
 
8.2%
나 198
 
8.2%
도 196
 
8.1%
시 193
 
8.0%
전 190
 
7.9%
라 187
 
7.7%
로 100
 
4.1%
길 82
 
3.4%
동 53
 
2.2%
Other values (146) 801
33.1%
Decimal Number
ValueCountFrequency (%)
1 157
22.5%
2 116
16.6%
3 80
11.4%
0 66
9.4%
5 58
 
8.3%
4 54
 
7.7%
6 52
 
7.4%
7 44
 
6.3%
9 38
 
5.4%
8 34
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
S 2
40.0%
L 1
20.0%
G 1
20.0%
B 1
20.0%
Space Separator
ValueCountFrequency (%)
715
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Other Punctuation
ValueCountFrequency (%)
, 28
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 21
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2418
60.3%
Common 1587
39.6%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 218
 
9.0%
주 199
 
8.2%
나 198
 
8.2%
도 196
 
8.1%
시 193
 
8.0%
전 190
 
7.9%
라 187
 
7.7%
로 100
 
4.1%
길 82
 
3.4%
동 53
 
2.2%
Other values (147) 802
33.2%
Common
ValueCountFrequency (%)
715
45.1%
1 157
 
9.9%
2 116
 
7.3%
3 80
 
5.0%
0 66
 
4.2%
5 58
 
3.7%
4 54
 
3.4%
6 52
 
3.3%
- 48
 
3.0%
7 44
 
2.8%
Other values (6) 197
 
12.4%
Latin
ValueCountFrequency (%)
S 2
40.0%
L 1
20.0%
G 1
20.0%
B 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2417
60.3%
ASCII 1592
39.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
715
44.9%
1 157
 
9.9%
2 116
 
7.3%
3 80
 
5.0%
0 66
 
4.1%
5 58
 
3.6%
4 54
 
3.4%
6 52
 
3.3%
- 48
 
3.0%
7 44
 
2.8%
Other values (10) 202
 
12.7%
Hangul
ValueCountFrequency (%)
남 218
 
9.0%
주 199
 
8.2%
나 198
 
8.2%
도 196
 
8.1%
시 193
 
8.0%
전 190
 
7.9%
라 187
 
7.7%
로 100
 
4.1%
길 82
 
3.4%
동 53
 
2.2%
Other values (146) 801
33.1%
None
ValueCountFrequency (%)
㈜ 1
100.0%

연락처
Text

MISSING 

Distinct173
Distinct (%)98.3%
Missing9
Missing (%)4.9%
Memory size1.6 KiB
2023-12-12T12:43:24.043003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.943182
Min length1

Characters and Unicode

Total characters2102
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique170 ?
Unique (%)96.6%

Sample

1st row061-330-4900
2nd row061-332-2046
3rd row061-337-2452
4th row061-332-9777
5th row061-332-6006
ValueCountFrequency (%)
061-336-0513 2
 
1.1%
061-333-8665 2
 
1.1%
061-332-7730 2
 
1.1%
061-345-2357 1
 
0.6%
061-333-4251 1
 
0.6%
061-1577-7800 1
 
0.6%
061-338-0408 1
 
0.6%
061-330-4900 1
 
0.6%
061-331-2145 1
 
0.6%
061-332-1206 1
 
0.6%
Other values (162) 162
92.6%
2023-12-12T12:43:24.552702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 434
20.6%
- 350
16.7%
0 314
14.9%
1 267
12.7%
6 256
12.2%
2 110
 
5.2%
8 86
 
4.1%
5 83
 
3.9%
7 79
 
3.8%
9 76
 
3.6%
Other values (2) 47
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1751
83.3%
Dash Punctuation 350
 
16.7%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 434
24.8%
0 314
17.9%
1 267
15.2%
6 256
14.6%
2 110
 
6.3%
8 86
 
4.9%
5 83
 
4.7%
7 79
 
4.5%
9 76
 
4.3%
4 46
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 350
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2102
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 434
20.6%
- 350
16.7%
0 314
14.9%
1 267
12.7%
6 256
12.2%
2 110
 
5.2%
8 86
 
4.1%
5 83
 
3.9%
7 79
 
3.8%
9 76
 
3.6%
Other values (2) 47
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2102
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 434
20.6%
- 350
16.7%
0 314
14.9%
1 267
12.7%
6 256
12.2%
2 110
 
5.2%
8 86
 
4.1%
5 83
 
3.9%
7 79
 
3.8%
9 76
 
3.6%
Other values (2) 47
 
2.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2022-04-01 00:00:00
Maximum2022-04-01 00:00:00
2023-12-12T12:43:24.723250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:43:24.845036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-12T12:43:21.453205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:43:21.596738image/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

구분사업장명소재지도로명주소연락처데이터기준일자
0농수산물도매유통센터농협 호남권 친환경 농산물 종합물류센터전라남도 나주시 산포면 영산로 6187-8061-330-49002022-04-01
1일반음식점2046팬스테이크 나주혁신점전라남도 나주시 중야2길 14, 502호061-332-20462022-04-01
2일반음식점The Breeze(더브리즈)전라남도 나주시 선창길 11061-337-24522022-04-01
3일반음식점가내수공업 나주혁신점전라남도 나주시 중야2길 10, 201호(빛가람동)061-332-97772022-04-01
4일반음식점강변장어 돼지갈비전라남도 나주시 남평읍 남평1로 82-12061-332-60062022-04-01
5일반음식점건강흑염소가든전라남도 나주시 남평읍 세남로 1771-14061-331-21552022-04-01
6일반음식점고깃집전라남도 나주시 예향로 3781_ 좌측 (이창동)061-337-35002022-04-01
7일반음식점고향식당전라남도 나주시 봉황면 세남로 713061-331-24002022-04-01
8일반음식점골드레이크CC 레스토랑전라남도 나주시 남평읍 나주호로 442-129061-339-30912022-04-01
9일반음식점공단식당전라남도 나주시 동수농공단지길 8(동수동)061-336-07902022-04-01
구분사업장명소재지도로명주소연락처데이터기준일자
175집단급식소한국콘텐츠진흥원 사우회전라남도 나주시 교육길 35061-900-40712022-04-01
176집단급식소한빛유치원전라남도 나주시 산포면 매화1길 22-1061-820-88882022-04-01
177집단급식소한아름유치원전라남도 나주시 그린로 292061-336-32542022-04-01
178집단급식소한아름초등학교전라남도 나주시 호수로 134061-339-96032022-04-01
179집단급식소한전KDN전라남도 나주시 빛가람로 661061-331-91602022-04-01
180집단급식소한전KPS㈜ 인재개발원전라남도 나주시 다도면 신방로 265061-357-91052022-04-01
181집단급식소한전빛사랑어린이집전라남도 나주시 전력로 55061-345-11512022-04-01
182집단급식소한전케이피에스㈜전라남도 나주시 문화로 211(빛가람동)061-345-23572022-04-01
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