Overview

Dataset statistics

Number of variables4
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory900.0 B
Average record size in memory37.5 B

Variable types

Text2
Categorical2

Dataset

Description충청남도 논산시 착한가격업소현황에 대한 데이터로 업소명, 행정동, 소재지도로명주소, 업종구분 정보를 제공하고 있습니다.
Author충청남도 논산시
URLhttps://www.data.go.kr/data/15067314/fileData.do

Alerts

업소명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:49:55.665567
Analysis finished2023-12-12 13:49:56.024809
Duration0.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T22:49:56.170958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length5.25
Min length3

Characters and Unicode

Total characters126
Distinct characters78
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row한마당
2nd row은진손칼국수
3rd row봉화순대
4th row솔잎미용실
5th row정경숙헤어샵
ValueCountFrequency (%)
한마당 1
 
4.0%
한성전통식당 1
 
4.0%
심플미용실 1
 
4.0%
다정콩나물해장국 1
 
4.0%
신촌반점 1
 
4.0%
양촌솥뚜껑매운탕 1
 
4.0%
강짬뽕 1
 
4.0%
공주칼국수 1
 
4.0%
여심미용실 1
 
4.0%
해물칼국수손수제비 1
 
4.0%
Other values (15) 15
60.0%
2023-12-12T22:49:56.557462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
수 8
 
6.3%
미 6
 
4.8%
실 6
 
4.8%
용 6
 
4.8%
국 5
 
4.0%
칼 3
 
2.4%
장 3
 
2.4%
마 3
 
2.4%
제 2
 
1.6%
나 2
 
1.6%
Other values (68) 82
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 125
99.2%
Space Separator 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 8
 
6.4%
미 6
 
4.8%
실 6
 
4.8%
용 6
 
4.8%
국 5
 
4.0%
칼 3
 
2.4%
장 3
 
2.4%
마 3
 
2.4%
제 2
 
1.6%
나 2
 
1.6%
Other values (67) 81
64.8%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 125
99.2%
Common 1
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 8
 
6.4%
미 6
 
4.8%
실 6
 
4.8%
용 6
 
4.8%
국 5
 
4.0%
칼 3
 
2.4%
장 3
 
2.4%
마 3
 
2.4%
제 2
 
1.6%
나 2
 
1.6%
Other values (67) 81
64.8%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 125
99.2%
ASCII 1
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
수 8
 
6.4%
미 6
 
4.8%
실 6
 
4.8%
용 6
 
4.8%
국 5
 
4.0%
칼 3
 
2.4%
장 3
 
2.4%
마 3
 
2.4%
제 2
 
1.6%
나 2
 
1.6%
Other values (67) 81
64.8%
ASCII
ValueCountFrequency (%)
1
100.0%

행정구역
Categorical

Distinct8
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
취암동
11 
연무읍
5 
부창동
3 
은진면
 
1
연산면
 
1
Other values (3)
3 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique5 ?
Unique (%)20.8%

Sample

1st row연무읍
2nd row은진면
3rd row연무읍
4th row부창동
5th row부창동

Common Values

ValueCountFrequency (%)
취암동 11
45.8%
연무읍 5
20.8%
부창동 3
 
12.5%
은진면 1
 
4.2%
연산면 1
 
4.2%
강경읍 1
 
4.2%
부적면 1
 
4.2%
양촌면 1
 
4.2%

Length

2023-12-12T22:49:56.704819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:49:56.822739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취암동 11
45.8%
연무읍 5
20.8%
부창동 3
 
12.5%
은진면 1
 
4.2%
연산면 1
 
4.2%
강경읍 1
 
4.2%
부적면 1
 
4.2%
양촌면 1
 
4.2%

주소
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T22:49:57.145494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length22.5
Mean length20.583333
Min length16

Characters and Unicode

Total characters494
Distinct characters50
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row충청남도 논산시 연무읍 득안대로 442-5
2nd row충청남도 논산시 은진면 매죽헌로25번길 8
3rd row충청남도 논산시 연무읍 연무로 156-1
4th row충청남도 논산시 중앙로505번길 2
5th row충청남도 논산시 해월로 64-1
ValueCountFrequency (%)
충청남도 24
22.4%
논산시 24
22.4%
연무읍 5
 
4.7%
중앙로 3
 
2.8%
득안대로 2
 
1.9%
20 2
 
1.9%
해월로 2
 
1.9%
4-1 1
 
0.9%
284 1
 
0.9%
연무로184번길 1
 
0.9%
Other values (42) 42
39.3%
2023-12-12T22:49:57.477987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
86
17.4%
시 27
 
5.5%
산 26
 
5.3%
충 24
 
4.9%
남 24
 
4.9%
도 24
 
4.9%
논 24
 
4.9%
청 24
 
4.9%
로 22
 
4.5%
1 18
 
3.6%
Other values (40) 195
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 298
60.3%
Decimal Number 99
 
20.0%
Space Separator 86
 
17.4%
Dash Punctuation 11
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 27
 
9.1%
산 26
 
8.7%
충 24
 
8.1%
남 24
 
8.1%
도 24
 
8.1%
논 24
 
8.1%
청 24
 
8.1%
로 22
 
7.4%
길 14
 
4.7%
번 12
 
4.0%
Other values (28) 77
25.8%
Decimal Number
ValueCountFrequency (%)
1 18
18.2%
4 15
15.2%
2 14
14.1%
6 10
10.1%
5 9
9.1%
8 8
8.1%
0 7
 
7.1%
3 7
 
7.1%
9 6
 
6.1%
7 5
 
5.1%
Space Separator
ValueCountFrequency (%)
86
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 298
60.3%
Common 196
39.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 27
 
9.1%
산 26
 
8.7%
충 24
 
8.1%
남 24
 
8.1%
도 24
 
8.1%
논 24
 
8.1%
청 24
 
8.1%
로 22
 
7.4%
길 14
 
4.7%
번 12
 
4.0%
Other values (28) 77
25.8%
Common
ValueCountFrequency (%)
86
43.9%
1 18
 
9.2%
4 15
 
7.7%
2 14
 
7.1%
- 11
 
5.6%
6 10
 
5.1%
5 9
 
4.6%
8 8
 
4.1%
0 7
 
3.6%
3 7
 
3.6%
Other values (2) 11
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 298
60.3%
ASCII 196
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
86
43.9%
1 18
 
9.2%
4 15
 
7.7%
2 14
 
7.1%
- 11
 
5.6%
6 10
 
5.1%
5 9
 
4.6%
8 8
 
4.1%
0 7
 
3.6%
3 7
 
3.6%
Other values (2) 11
 
5.6%
Hangul
ValueCountFrequency (%)
시 27
 
9.1%
산 26
 
8.7%
충 24
 
8.1%
남 24
 
8.1%
도 24
 
8.1%
논 24
 
8.1%
청 24
 
8.1%
로 22
 
7.4%
길 14
 
4.7%
번 12
 
4.0%
Other values (28) 77
25.8%

업종구분
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
외식업
16 
이미용업
8 

Length

Max length4
Median length3
Mean length3.3333333
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row외식업
2nd row외식업
3rd row외식업
4th row이미용업
5th row이미용업

Common Values

ValueCountFrequency (%)
외식업 16
66.7%
이미용업 8
33.3%

Length

2023-12-12T22:49:57.622853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:49:57.734062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외식업 16
66.7%
이미용업 8
33.3%

Correlations

2023-12-12T22:49:57.794386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명행정구역주소업종구분
업소명1.0001.0001.0001.000
행정구역1.0001.0001.0000.424
주소1.0001.0001.0001.000
업종구분1.0000.4241.0001.000
2023-12-12T22:49:57.895836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정구역업종구분
행정구역1.0000.249
업종구분0.2491.000
2023-12-12T22:49:57.973657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정구역업종구분
행정구역1.0000.249
업종구분0.2491.000

Missing values

2023-12-12T22:49:55.894874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:49:55.992081image/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

업소명행정구역주소업종구분
0한마당연무읍충청남도 논산시 연무읍 득안대로 442-5외식업
1은진손칼국수은진면충청남도 논산시 은진면 매죽헌로25번길 8외식업
2봉화순대연무읍충청남도 논산시 연무읍 연무로 156-1외식업
3솔잎미용실부창동충청남도 논산시 중앙로505번길 2이미용업
4정경숙헤어샵부창동충청남도 논산시 해월로 64-1이미용업
5현대미용실연산면충청남도 논산시 연산면 연산2길 4이미용업
6선경미용실취암동충청남도 논산시 중앙로 487-1이미용업
7설화수미용실취암동충청남도 논산시 중앙로492번길 9-9이미용업
8하나네 수제돈까스강경읍충청남도 논산시 강경읍 계백로167번길 46-11외식업
9시조마을취암동충청남도 논산시 시민로194번길 19외식업
업소명행정구역주소업종구분
14시장국수연무읍충청남도 논산시 연무읍 연무로184번길 8-8외식업
15해물칼국수손수제비취암동충청남도 논산시 중앙로 500번길 20외식업
16여심미용실취암동충청남도 논산시 해월로 125번길 31이미용업
17공주칼국수취암동충청남도 논산시 중앙로479번길 4-1외식업
18강짬뽕부적면충청남도 논산시 부적면 계백로 1660-8외식업
19양촌솥뚜껑매운탕양촌면충청남도 논산시 양촌면 매죽헌로 1666외식업
20신촌반점연무읍충청남도 논산시 연무읍 득안대로 473외식업
21다정콩나물해장국연무읍충청남도 논산시 연무읍 안심로55외식업
22심플미용실취암동충청남도 논산시 시민로314번길 1이미용업
23젠틀맨취암동충청남도 논산시 중앙로480번길 23-1이미용업