Overview

Dataset statistics

Number of variables5
Number of observations199
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.9 KiB
Average record size in memory40.7 B

Variable types

Categorical2
Text3

Dataset

Description포항시 199개소 착한가격업소의 현황을 업종별로 분류하고, 상호명 및 주소와 전화번호를 기입하여 민원인에게 제공하고자 합니다.
Author경상북도 포항시
URLhttps://www.data.go.kr/data/15035992/fileData.do

Alerts

데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2024-04-06 08:44:11.189168
Analysis finished2024-04-06 08:44:12.373189
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

Distinct10
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
미용업
79 
한식_일반
42 
이용업
21 
기타 요식업
21 
한식_면류
16 
Other values (5)
20 

Length

Max length6
Median length3
Mean length3.9698492
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일식
2nd row한식_일반
3rd row한식_일반
4th row미용업
5th row미용업

Common Values

ValueCountFrequency (%)
미용업 79
39.7%
한식_일반 42
21.1%
이용업 21
 
10.6%
기타 요식업 21
 
10.6%
한식_면류 16
 
8.0%
한식_육류 8
 
4.0%
목욕업 6
 
3.0%
일식 2
 
1.0%
숙박업 2
 
1.0%
세탁업 2
 
1.0%

Length

2024-04-06T17:44:12.638692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:44:13.094637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미용업 79
35.9%
한식_일반 42
19.1%
이용업 21
 
9.5%
기타 21
 
9.5%
요식업 21
 
9.5%
한식_면류 16
 
7.3%
한식_육류 8
 
3.6%
목욕업 6
 
2.7%
일식 2
 
0.9%
숙박업 2
 
0.9%

상호명
Text

Distinct196
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-06T17:44:13.938604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length5.0502513
Min length2

Characters and Unicode

Total characters1005
Distinct characters302
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique193 ?
Unique (%)97.0%

Sample

1st row다미손만두돈까스
2nd row식객
3rd row감자바위
4th row예원미용실
5th row머리만들기
ValueCountFrequency (%)
미용실 3
 
1.5%
송죽미용실 2
 
1.0%
머리하는날 2
 
1.0%
고향식당 2
 
1.0%
발렌틴 1
 
0.5%
심플커피 1
 
0.5%
다미손만두돈까스 1
 
0.5%
이채영커팅클럽 1
 
0.5%
작은사치 1
 
0.5%
돈부야 1
 
0.5%
Other values (189) 189
92.6%
2024-04-06T17:44:15.189944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
미 48
 
4.8%
용 43
 
4.3%
실 37
 
3.7%
어 32
 
3.2%
헤 31
 
3.1%
식 27
 
2.7%
이 23
 
2.3%
당 23
 
2.3%
국 18
 
1.8%
수 16
 
1.6%
Other values (292) 707
70.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 992
98.7%
Space Separator 6
 
0.6%
Decimal Number 4
 
0.4%
Other Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
미 48
 
4.8%
용 43
 
4.3%
실 37
 
3.7%
어 32
 
3.2%
헤 31
 
3.1%
식 27
 
2.7%
이 23
 
2.3%
당 23
 
2.3%
국 18
 
1.8%
수 16
 
1.6%
Other values (284) 694
70.0%
Decimal Number
ValueCountFrequency (%)
9 1
25.0%
2 1
25.0%
4 1
25.0%
5 1
25.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 992
98.7%
Common 13
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
미 48
 
4.8%
용 43
 
4.3%
실 37
 
3.7%
어 32
 
3.2%
헤 31
 
3.1%
식 27
 
2.7%
이 23
 
2.3%
당 23
 
2.3%
국 18
 
1.8%
수 16
 
1.6%
Other values (284) 694
70.0%
Common
ValueCountFrequency (%)
6
46.2%
, 1
 
7.7%
( 1
 
7.7%
) 1
 
7.7%
9 1
 
7.7%
2 1
 
7.7%
4 1
 
7.7%
5 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 992
98.7%
ASCII 13
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
미 48
 
4.8%
용 43
 
4.3%
실 37
 
3.7%
어 32
 
3.2%
헤 31
 
3.1%
식 27
 
2.7%
이 23
 
2.3%
당 23
 
2.3%
국 18
 
1.8%
수 16
 
1.6%
Other values (284) 694
70.0%
ASCII
ValueCountFrequency (%)
6
46.2%
, 1
 
7.7%
( 1
 
7.7%
) 1
 
7.7%
9 1
 
7.7%
2 1
 
7.7%
4 1
 
7.7%
5 1
 
7.7%

소재지 도로명주소
Text

Distinct198
Distinct (%)100.0%
Missing1
Missing (%)0.5%
Memory size1.7 KiB
2024-04-06T17:44:16.005250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length35
Mean length23.878788
Min length17

Characters and Unicode

Total characters4728
Distinct characters123
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique198 ?
Unique (%)100.0%

Sample

1st row경상북도 포항시 남구 구룡포읍 구룡포길 85-1
2nd row경상북도 포항시 남구 연일읍 중단길4번길 31-10
3rd row경상북도 포항시 남구 연일읍 유강길9번길 32
4th row경상북도 포항시 남구 연일읍 중명길 78-6
5th row경상북도 포항시 남구 연일읍 철강로41번길 54
ValueCountFrequency (%)
포항시 198
17.9%
경상북도 197
17.8%
남구 103
 
9.3%
북구 95
 
8.6%
오천읍 25
 
2.3%
1층 25
 
2.3%
흥해읍 9
 
0.8%
송림로 8
 
0.7%
장기로1690번길 8
 
0.7%
5 7
 
0.6%
Other values (297) 431
39.0%
2024-04-06T17:44:17.144608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
914
19.3%
북 293
 
6.2%
도 214
 
4.5%
1 207
 
4.4%
상 206
 
4.4%
시 204
 
4.3%
포 202
 
4.3%
항 202
 
4.3%
구 200
 
4.2%
경 198
 
4.2%
Other values (113) 1888
39.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2900
61.3%
Space Separator 914
 
19.3%
Decimal Number 788
 
16.7%
Dash Punctuation 66
 
1.4%
Other Punctuation 44
 
0.9%
Open Punctuation 7
 
0.1%
Close Punctuation 7
 
0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 293
 
10.1%
도 214
 
7.4%
상 206
 
7.1%
시 204
 
7.0%
포 202
 
7.0%
항 202
 
7.0%
구 200
 
6.9%
경 198
 
6.8%
로 165
 
5.7%
길 130
 
4.5%
Other values (96) 886
30.6%
Decimal Number
ValueCountFrequency (%)
1 207
26.3%
2 98
12.4%
3 75
 
9.5%
4 74
 
9.4%
5 72
 
9.1%
7 60
 
7.6%
6 59
 
7.5%
0 53
 
6.7%
9 49
 
6.2%
8 41
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
914
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%
Other Punctuation
ValueCountFrequency (%)
, 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2900
61.3%
Common 1826
38.6%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 293
 
10.1%
도 214
 
7.4%
상 206
 
7.1%
시 204
 
7.0%
포 202
 
7.0%
항 202
 
7.0%
구 200
 
6.9%
경 198
 
6.8%
로 165
 
5.7%
길 130
 
4.5%
Other values (96) 886
30.6%
Common
ValueCountFrequency (%)
914
50.1%
1 207
 
11.3%
2 98
 
5.4%
3 75
 
4.1%
4 74
 
4.1%
5 72
 
3.9%
- 66
 
3.6%
7 60
 
3.3%
6 59
 
3.2%
0 53
 
2.9%
Other values (5) 148
 
8.1%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2900
61.3%
ASCII 1828
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
914
50.0%
1 207
 
11.3%
2 98
 
5.4%
3 75
 
4.1%
4 74
 
4.0%
5 72
 
3.9%
- 66
 
3.6%
7 60
 
3.3%
6 59
 
3.2%
0 53
 
2.9%
Other values (7) 150
 
8.2%
Hangul
ValueCountFrequency (%)
북 293
 
10.1%
도 214
 
7.4%
상 206
 
7.1%
시 204
 
7.0%
포 202
 
7.0%
항 202
 
7.0%
구 200
 
6.9%
경 198
 
6.8%
로 165
 
5.7%
길 130
 
4.5%
Other values (96) 886
30.6%

전화번호
Text

Distinct95
Distinct (%)47.7%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-06T17:44:17.829860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length6
Mean length8.8542714
Min length6

Characters and Unicode

Total characters1762
Distinct characters17
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

Unique94 ?
Unique (%)47.2%

Sample

1st row054-284-2291
2nd row054-275-1647
3rd row054-272-8877
4th row데이터 없음
5th row데이터 없음
ValueCountFrequency (%)
데이터 105
34.5%
없음 105
34.5%
054-247-6989 1
 
0.3%
054-281-8006 1
 
0.3%
054-282-4060 1
 
0.3%
054-277-9042 1
 
0.3%
054-243-8836 1
 
0.3%
054-275-9579 1
 
0.3%
054-281-8648 1
 
0.3%
054-255-5024 1
 
0.3%
Other values (86) 86
28.3%
2024-04-06T17:44:19.027475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 188
10.7%
4 164
 
9.3%
2 148
 
8.4%
0 147
 
8.3%
5 142
 
8.1%
이 105
 
6.0%
데 105
 
6.0%
음 105
 
6.0%
없 105
 
6.0%
105
 
6.0%
Other values (7) 448
25.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 944
53.6%
Other Letter 525
29.8%
Dash Punctuation 188
 
10.7%
Space Separator 105
 
6.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 164
17.4%
2 148
15.7%
0 147
15.6%
5 142
15.0%
7 70
7.4%
8 67
7.1%
1 65
 
6.9%
3 50
 
5.3%
9 48
 
5.1%
6 43
 
4.6%
Other Letter
ValueCountFrequency (%)
이 105
20.0%
데 105
20.0%
음 105
20.0%
없 105
20.0%
터 105
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 188
100.0%
Space Separator
ValueCountFrequency (%)
105
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1237
70.2%
Hangul 525
29.8%

Most frequent character per script

Common
ValueCountFrequency (%)
- 188
15.2%
4 164
13.3%
2 148
12.0%
0 147
11.9%
5 142
11.5%
105
8.5%
7 70
 
5.7%
8 67
 
5.4%
1 65
 
5.3%
3 50
 
4.0%
Other values (2) 91
7.4%
Hangul
ValueCountFrequency (%)
이 105
20.0%
데 105
20.0%
음 105
20.0%
없 105
20.0%
터 105
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1237
70.2%
Hangul 525
29.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 188
15.2%
4 164
13.3%
2 148
12.0%
0 147
11.9%
5 142
11.5%
105
8.5%
7 70
 
5.7%
8 67
 
5.4%
1 65
 
5.3%
3 50
 
4.0%
Other values (2) 91
7.4%
Hangul
ValueCountFrequency (%)
이 105
20.0%
데 105
20.0%
음 105
20.0%
없 105
20.0%
터 105
20.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-03-26
199 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-26
2nd row2024-03-26
3rd row2024-03-26
4th row2024-03-26
5th row2024-03-26

Common Values

ValueCountFrequency (%)
2024-03-26 199
100.0%

Length

2024-04-06T17:44:19.492458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:44:19.872363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-26 199
100.0%

Correlations

2024-04-06T17:44:20.104721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종전화번호
업종1.0000.822
전화번호0.8221.000

Missing values

2024-04-06T17:44:11.942839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:44:12.249413image/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

업종상호명소재지 도로명주소전화번호데이터기준일자
0일식다미손만두돈까스경상북도 포항시 남구 구룡포읍 구룡포길 85-1054-284-22912024-03-26
1한식_일반식객경상북도 포항시 남구 연일읍 중단길4번길 31-10054-275-16472024-03-26
2한식_일반감자바위경상북도 포항시 남구 연일읍 유강길9번길 32054-272-88772024-03-26
3미용업예원미용실경상북도 포항시 남구 연일읍 중명길 78-6데이터 없음2024-03-26
4미용업머리만들기경상북도 포항시 남구 연일읍 철강로41번길 54데이터 없음2024-03-26
5한식_면류밀밭집경상북도 포항시 남구 연일읍 동문로 41054-285-20092024-03-26
6한식_일반명태본가경상북도 포항시 남구 오천읍 문덕로 16-1054-293-55122024-03-26
7한식_면류미성전통손칼국수경상북도 포항시 남구 오천읍 장기로 1683-2054-292-76962024-03-26
8한식_일반시장집식당경상북도 포항시 남구 오천읍 장기로1690번길 11054-292-23922024-03-26
9한식_일반고향식당경상북도 포항시 남구 오천읍 세계길 34-2054-291-58062024-03-26
업종상호명소재지 도로명주소전화번호데이터기준일자
189한식_육류일심식당경상북도 포항시 북구 성실로 37, 1층 102호054-231-00302024-03-26
190한식_일반수탉, 양군경상북도 포항시 북구 환호로 680507-1482-35452024-03-26
191미용업큐사랑천연염색경북 포항시 북구 양덕로 68, 110호데이터 없음2024-03-26
192한식_일반정명식당경상북도 포항시 북구 환호공원길 15054-252-18702024-03-26
193미용업곽헤어라인경상북도 포항시 북구 삼호로 471054-252-12482024-03-26
194미용업엘라미용실경상북도 포항시 북구 삼호로 461-1054-232-18332024-03-26
195미용업혜진헤어경상북도 포항시 북구 삼호로 414-1, 나동 106호데이터 없음2024-03-26
196이용업포맨남성컷경상북도 포항시 북구 삼호로 388데이터 없음2024-03-26
197미용업더미소헤어경상북도 포항시 북구 삼호로 487-1데이터 없음2024-03-26
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