Overview

Dataset statistics

Number of variables4
Number of observations28
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 KiB
Average record size in memory36.7 B

Variable types

Text2
Categorical2

Dataset

Description울산광역시 북구 공동주택음식물쓰레기발생량공시의 동행정표준코드에 관한 정보입니다.(표준코드, 구/군 동이름 포함)
Author울산광역시 북구
URLhttps://www.data.go.kr/data/15090613/fileData.do

Alerts

시_도 has constant value ""Constant
구_군 has constant value ""Constant
코드 has unique valuesUnique
동 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:32:30.171351
Analysis finished2023-12-12 06:32:30.453510
Duration0.28 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

코드
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-12T15:32:30.609739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters364
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

Unique28 ?
Unique (%)100.0%

Sample

1st row="3120000000"
2nd row="3120010100"
3rd row="3120010200"
4th row="3120010300"
5th row="3120010400"
ValueCountFrequency (%)
3120000000 1
 
3.6%
3120010100 1
 
3.6%
3120012600 1
 
3.6%
3120012500 1
 
3.6%
3120012400 1
 
3.6%
3120012300 1
 
3.6%
3120012200 1
 
3.6%
3120012100 1
 
3.6%
3120012000 1
 
3.6%
3120011900 1
 
3.6%
Other values (18) 18
64.3%
2023-12-12T15:32:31.046103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 126
34.6%
1 68
18.7%
" 56
15.4%
2 39
 
10.7%
3 31
 
8.5%
= 28
 
7.7%
4 3
 
0.8%
5 3
 
0.8%
6 3
 
0.8%
7 3
 
0.8%
Other values (2) 4
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 280
76.9%
Other Punctuation 56
 
15.4%
Math Symbol 28
 
7.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 126
45.0%
1 68
24.3%
2 39
 
13.9%
3 31
 
11.1%
4 3
 
1.1%
5 3
 
1.1%
6 3
 
1.1%
7 3
 
1.1%
8 2
 
0.7%
9 2
 
0.7%
Other Punctuation
ValueCountFrequency (%)
" 56
100.0%
Math Symbol
ValueCountFrequency (%)
= 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 364
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 126
34.6%
1 68
18.7%
" 56
15.4%
2 39
 
10.7%
3 31
 
8.5%
= 28
 
7.7%
4 3
 
0.8%
5 3
 
0.8%
6 3
 
0.8%
7 3
 
0.8%
Other values (2) 4
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 364
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 126
34.6%
1 68
18.7%
" 56
15.4%
2 39
 
10.7%
3 31
 
8.5%
= 28
 
7.7%
4 3
 
0.8%
5 3
 
0.8%
6 3
 
0.8%
7 3
 
0.8%
Other values (2) 4
 
1.1%

시_도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
울산광역시
28 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
울산광역시 28
100.0%

Length

2023-12-12T15:32:31.193484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:32:31.303112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울산광역시 28
100.0%

구_군
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
북구
28 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북구 28
100.0%

Length

2023-12-12T15:32:31.420433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:32:31.513817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북구 28
100.0%

동
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-12T15:32:31.710875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9642857
Min length2

Characters and Unicode

Total characters83
Distinct characters45
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row북구
2nd row창평동
3rd row호계동
4th row매곡동
5th row가대동
ValueCountFrequency (%)
북구 1
 
3.6%
창평동 1
 
3.6%
송정동 1
 
3.6%
화봉동 1
 
3.6%
양정동 1
 
3.6%
효문동 1
 
3.6%
연암동 1
 
3.6%
진장동 1
 
3.6%
명촌동 1
 
3.6%
어물동 1
 
3.6%
Other values (18) 18
64.3%
2023-12-12T15:32:32.083200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 27
32.5%
천 3
 
3.6%
정 3
 
3.6%
신 3
 
3.6%
곡 2
 
2.4%
대 2
 
2.4%
산 2
 
2.4%
안 2
 
2.4%
구 2
 
2.4%
명 2
 
2.4%
Other values (35) 35
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 83
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 27
32.5%
천 3
 
3.6%
정 3
 
3.6%
신 3
 
3.6%
곡 2
 
2.4%
대 2
 
2.4%
산 2
 
2.4%
안 2
 
2.4%
구 2
 
2.4%
명 2
 
2.4%
Other values (35) 35
42.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 83
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 27
32.5%
천 3
 
3.6%
정 3
 
3.6%
신 3
 
3.6%
곡 2
 
2.4%
대 2
 
2.4%
산 2
 
2.4%
안 2
 
2.4%
구 2
 
2.4%
명 2
 
2.4%
Other values (35) 35
42.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 83
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 27
32.5%
천 3
 
3.6%
정 3
 
3.6%
신 3
 
3.6%
곡 2
 
2.4%
대 2
 
2.4%
산 2
 
2.4%
안 2
 
2.4%
구 2
 
2.4%
명 2
 
2.4%
Other values (35) 35
42.2%

Correlations

2023-12-12T15:32:32.190469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
코드동
코드1.0001.000
동1.0001.000

Missing values

2023-12-12T15:32:30.318932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:32:30.412400image/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

코드시_도구_군동
0="3120000000"울산광역시북구북구
1="3120010100"울산광역시북구창평동
2="3120010200"울산광역시북구호계동
3="3120010300"울산광역시북구매곡동
4="3120010400"울산광역시북구가대동
5="3120010500"울산광역시북구신천동
6="3120010600"울산광역시북구중산동
7="3120010700"울산광역시북구상안동
8="3120010800"울산광역시북구천곡동
9="3120010900"울산광역시북구달천동
코드시_도구_군동
18="3120011800"울산광역시북구산하동
19="3120011900"울산광역시북구어물동
20="3120012000"울산광역시북구명촌동
21="3120012100"울산광역시북구진장동
22="3120012200"울산광역시북구연암동
23="3120012300"울산광역시북구효문동
24="3120012400"울산광역시북구양정동
25="3120012500"울산광역시북구화봉동
26="3120012600"울산광역시북구송정동
27="3120012700"울산광역시북구염포동