Overview

Dataset statistics

Number of variables5
Number of observations114
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory41.2 B

Variable types

Categorical2
Text3

Dataset

Description충청남도 논산시 모범음식점현황에 대한 데이터로 업종, 업소명, 행정구역, 주소, 전화번호 정보를 제공하고있습니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=375&beforeMenuCd=DOM_000000201001001000&publicdatapk=15067266

Alerts

업종 has constant value ""Constant
업소명 has unique valuesUnique

Reproduction

Analysis started2024-01-09 21:37:49.369299
Analysis finished2024-01-09 21:37:49.711179
Duration0.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
외식업
114 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
외식업 114
100.0%

Length

2024-01-10T06:37:49.763656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:37:49.831717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외식업 114
100.0%

업소명
Text

UNIQUE 

Distinct114
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-01-10T06:37:50.025547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length4.9473684
Min length2

Characters and Unicode

Total characters564
Distinct characters227
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)100.0%

Sample

1st row황산옥
2nd row신해미횟집
3rd row평양면옥
4th row카페544
5th row명가선운산풍천장어
ValueCountFrequency (%)
논산점 2
 
1.7%
황산옥 1
 
0.8%
회농장 1
 
0.8%
이가네 1
 
0.8%
굴세상논산점 1
 
0.8%
알짜 1
 
0.8%
담소 1
 
0.8%
들풀 1
 
0.8%
명인냉면 1
 
0.8%
완도수산야채막회 1
 
0.8%
Other values (108) 108
90.8%
2024-01-10T06:37:50.338167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
가 20
 
3.5%
산 15
 
2.7%
이 13
 
2.3%
장 13
 
2.3%
어 11
 
2.0%
대 10
 
1.8%
수 10
 
1.8%
든 9
 
1.6%
마 9
 
1.6%
한 8
 
1.4%
Other values (217) 446
79.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 545
96.6%
Decimal Number 6
 
1.1%
Space Separator 5
 
0.9%
Lowercase Letter 3
 
0.5%
Close Punctuation 2
 
0.4%
Open Punctuation 2
 
0.4%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 20
 
3.7%
산 15
 
2.8%
이 13
 
2.4%
장 13
 
2.4%
어 11
 
2.0%
대 10
 
1.8%
수 10
 
1.8%
든 9
 
1.7%
마 9
 
1.7%
한 8
 
1.5%
Other values (205) 427
78.3%
Decimal Number
ValueCountFrequency (%)
4 2
33.3%
8 1
16.7%
0 1
16.7%
1 1
16.7%
5 1
16.7%
Lowercase Letter
ValueCountFrequency (%)
t 1
33.3%
e 1
33.3%
h 1
33.3%
Space Separator
ValueCountFrequency (%)
5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 545
96.6%
Common 16
 
2.8%
Latin 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 20
 
3.7%
산 15
 
2.8%
이 13
 
2.4%
장 13
 
2.4%
어 11
 
2.0%
대 10
 
1.8%
수 10
 
1.8%
든 9
 
1.7%
마 9
 
1.7%
한 8
 
1.5%
Other values (205) 427
78.3%
Common
ValueCountFrequency (%)
5
31.2%
) 2
 
12.5%
4 2
 
12.5%
( 2
 
12.5%
& 1
 
6.2%
8 1
 
6.2%
0 1
 
6.2%
1 1
 
6.2%
5 1
 
6.2%
Latin
ValueCountFrequency (%)
t 1
33.3%
e 1
33.3%
h 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 545
96.6%
ASCII 19
 
3.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
가 20
 
3.7%
산 15
 
2.8%
이 13
 
2.4%
장 13
 
2.4%
어 11
 
2.0%
대 10
 
1.8%
수 10
 
1.8%
든 9
 
1.7%
마 9
 
1.7%
한 8
 
1.5%
Other values (205) 427
78.3%
ASCII
ValueCountFrequency (%)
5
26.3%
) 2
 
10.5%
4 2
 
10.5%
( 2
 
10.5%
& 1
 
5.3%
t 1
 
5.3%
8 1
 
5.3%
0 1
 
5.3%
1 1
 
5.3%
e 1
 
5.3%
Other values (2) 2
 
10.5%

행정구역
Categorical

Distinct13
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
취암동
48 
연무읍
17 
부창동
11 
강경읍
9 
연산면
7 
Other values (8)
22 

Length

Max length4
Median length3
Mean length3.0350877
Min length3

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row강경읍
2nd row취암동
3rd row연무읍
4th row부창동
5th row부창동

Common Values

ValueCountFrequency (%)
취암동 48
42.1%
연무읍 17
 
14.9%
부창동 11
 
9.6%
강경읍 9
 
7.9%
연산면 7
 
6.1%
벌곡면 4
 
3.5%
가야곡면 4
 
3.5%
상월면 4
 
3.5%
양촌면 3
 
2.6%
부적면 2
 
1.8%
Other values (3) 5
 
4.4%

Length

2024-01-10T06:37:50.447548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
취암동 48
42.1%
연무읍 17
 
14.9%
부창동 11
 
9.6%
강경읍 9
 
7.9%
연산면 7
 
6.1%
벌곡면 4
 
3.5%
가야곡면 4
 
3.5%
상월면 4
 
3.5%
양촌면 3
 
2.6%
부적면 2
 
1.8%
Other values (3) 5
 
4.4%

주소
Text

Distinct113
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-01-10T06:37:50.827679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length26
Mean length23.192982
Min length19

Characters and Unicode

Total characters2644
Distinct characters105
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique112 ?
Unique (%)98.2%

Sample

1st row충청남도 논산시 강경읍 금백로 34
2nd row충청남도 논산시 계백로 976 (취암동)
3rd row충청남도 논산시 연무읍 동산리 894
4th row충청남도 논산시 부창로72번길 20 (강산동)
5th row충청남도 논산시 부창로72번길 20 (강산동)
ValueCountFrequency (%)
충청남도 114
19.9%
논산시 114
19.9%
취암동 20
 
3.5%
연무읍 17
 
3.0%
내동 15
 
2.6%
강경읍 9
 
1.6%
지산동 8
 
1.4%
계백로 7
 
1.2%
득안대로 7
 
1.2%
연산면 7
 
1.2%
Other values (178) 254
44.4%
2024-01-10T06:37:51.101808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
458
 
17.3%
산 145
 
5.5%
시 128
 
4.8%
논 118
 
4.5%
충 114
 
4.3%
남 114
 
4.3%
도 114
 
4.3%
청 114
 
4.3%
로 101
 
3.8%
1 80
 
3.0%
Other values (95) 1158
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1588
60.1%
Space Separator 458
 
17.3%
Decimal Number 434
 
16.4%
Open Punctuation 59
 
2.2%
Close Punctuation 59
 
2.2%
Dash Punctuation 43
 
1.6%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 145
 
9.1%
시 128
 
8.1%
논 118
 
7.4%
충 114
 
7.2%
남 114
 
7.2%
도 114
 
7.2%
청 114
 
7.2%
로 101
 
6.4%
동 62
 
3.9%
길 55
 
3.5%
Other values (80) 523
32.9%
Decimal Number
ValueCountFrequency (%)
1 80
18.4%
2 57
13.1%
3 54
12.4%
4 42
9.7%
5 40
9.2%
9 36
8.3%
7 34
7.8%
0 31
 
7.1%
6 31
 
7.1%
8 29
 
6.7%
Space Separator
ValueCountFrequency (%)
458
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1588
60.1%
Common 1056
39.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 145
 
9.1%
시 128
 
8.1%
논 118
 
7.4%
충 114
 
7.2%
남 114
 
7.2%
도 114
 
7.2%
청 114
 
7.2%
로 101
 
6.4%
동 62
 
3.9%
길 55
 
3.5%
Other values (80) 523
32.9%
Common
ValueCountFrequency (%)
458
43.4%
1 80
 
7.6%
( 59
 
5.6%
) 59
 
5.6%
2 57
 
5.4%
3 54
 
5.1%
- 43
 
4.1%
4 42
 
4.0%
5 40
 
3.8%
9 36
 
3.4%
Other values (5) 128
 
12.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1588
60.1%
ASCII 1056
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
458
43.4%
1 80
 
7.6%
( 59
 
5.6%
) 59
 
5.6%
2 57
 
5.4%
3 54
 
5.1%
- 43
 
4.1%
4 42
 
4.0%
5 40
 
3.8%
9 36
 
3.4%
Other values (5) 128
 
12.1%
Hangul
ValueCountFrequency (%)
산 145
 
9.1%
시 128
 
8.1%
논 118
 
7.4%
충 114
 
7.2%
남 114
 
7.2%
도 114
 
7.2%
청 114
 
7.2%
로 101
 
6.4%
동 62
 
3.9%
길 55
 
3.5%
Other values (80) 523
32.9%

전화번호
Text

Distinct103
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-01-10T06:37:51.323375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.473684
Min length7

Characters and Unicode

Total characters1308
Distinct characters18
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

Unique102 ?
Unique (%)89.5%

Sample

1st row041-745-4836
2nd row041-735-3409
3rd row041-742-0156
4th row데이터 미집계
5th row041-734-9282
ValueCountFrequency (%)
데이터 12
 
9.5%
미집계 12
 
9.5%
041-736-2319 1
 
0.8%
041-736-7020 1
 
0.8%
041-736-1601 1
 
0.8%
041-735-3212 1
 
0.8%
041-733-7651 1
 
0.8%
041-742-5400 1
 
0.8%
041-742-2560 1
 
0.8%
041-735-6588 1
 
0.8%
Other values (94) 94
74.6%
2024-01-10T06:37:51.638450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 204
15.6%
4 178
13.6%
0 163
12.5%
1 150
11.5%
7 137
10.5%
3 120
9.2%
2 78
 
6.0%
5 65
 
5.0%
6 47
 
3.6%
9 41
 
3.1%
Other values (8) 125
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1020
78.0%
Dash Punctuation 204
 
15.6%
Other Letter 72
 
5.5%
Space Separator 12
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 178
17.5%
0 163
16.0%
1 150
14.7%
7 137
13.4%
3 120
11.8%
2 78
7.6%
5 65
 
6.4%
6 47
 
4.6%
9 41
 
4.0%
8 41
 
4.0%
Other Letter
ValueCountFrequency (%)
이 12
16.7%
계 12
16.7%
집 12
16.7%
미 12
16.7%
터 12
16.7%
데 12
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 204
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1236
94.5%
Hangul 72
 
5.5%

Most frequent character per script

Common
ValueCountFrequency (%)
- 204
16.5%
4 178
14.4%
0 163
13.2%
1 150
12.1%
7 137
11.1%
3 120
9.7%
2 78
 
6.3%
5 65
 
5.3%
6 47
 
3.8%
9 41
 
3.3%
Other values (2) 53
 
4.3%
Hangul
ValueCountFrequency (%)
이 12
16.7%
계 12
16.7%
집 12
16.7%
미 12
16.7%
터 12
16.7%
데 12
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1236
94.5%
Hangul 72
 
5.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 204
16.5%
4 178
14.4%
0 163
13.2%
1 150
12.1%
7 137
11.1%
3 120
9.7%
2 78
 
6.3%
5 65
 
5.3%
6 47
 
3.8%
9 41
 
3.3%
Other values (2) 53
 
4.3%
Hangul
ValueCountFrequency (%)
이 12
16.7%
계 12
16.7%
집 12
16.7%
미 12
16.7%
터 12
16.7%
데 12
16.7%

Missing values

2024-01-10T06:37:49.606710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:37:49.680212image/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

업종업소명행정구역주소전화번호
0외식업황산옥강경읍충청남도 논산시 강경읍 금백로 34041-745-4836
1외식업신해미횟집취암동충청남도 논산시 계백로 976 (취암동)041-735-3409
2외식업평양면옥연무읍충청남도 논산시 연무읍 동산리 894041-742-0156
3외식업카페544부창동충청남도 논산시 부창로72번길 20 (강산동)데이터 미집계
4외식업명가선운산풍천장어부창동충청남도 논산시 부창로72번길 20 (강산동)041-734-9282
5외식업삼오정강경읍충청남도 논산시 강경읍 대흥로 43041-745-4466
6외식업금영숯불갈비강경읍충청남도 논산시 강경읍 금백로 70041-745-6216
7외식업한증가든연산면충청남도 논산시 연산면 황산벌로 1409-9041-735-0252
8외식업용궁회관강경읍충청남도 논산시 강경읍 대흥로5번길 7-1041-745-5254
9외식업남촌칼국수강경읍충청남도 논산시 강경읍 금백로 95041-745-3216
업종업소명행정구역주소전화번호
104외식업한우명가취암동충청남도 논산시 중앙로 365 (취암동)041-735-8588
105외식업참새방앗간취암동충청남도 논산시 중앙로398번길 29-5, 1층 (취암동)데이터 미집계
106외식업대성한우농장연무읍충청남도 논산시 연무읍 득안대로 585041-742-0599
107외식업개성만두취암동충청남도 논산시 대학로 99 (내동)041-734-0120
108외식업윤대감부대찌개 논산점취암동충청남도 논산시 시민로132번길 40-5 (내동)데이터 미집계
109외식업더브리즈취암동충청남도 논산시 관촉로58번길 28 (지산동)데이터 미집계
110외식업황산민물장어취암동충청남도 논산시 논산대로 534 (지산동)041-732-9592
111외식업놀부부대찌개철판구이취암동충청남도 논산시 시민로132번길 52-1 (내동)041-734-3225
112외식업별나무연산면충청남도 논산시 연산면 신양길 3, 1동데이터 미집계
113외식업벌교꼬막정식앤삼계탕취암동충청남도 논산시 번영로18번길 2 (취암동)데이터 미집계