Overview

Dataset statistics

Number of variables5
Number of observations56
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory43.4 B

Variable types

Numeric1
Text4

Dataset

Description전북특별자치도 군산시에 등록된 모범 음식점을 나열한 목록입니다. 군산을 찾아주시는 관광객들에게 유용한 정보를 제공하여 쾌적한 여행에 정보 제공.
Author전라북도
URLhttps://www.bigdatahub.go.kr/index.jeonbuk?startPage=2&menuCd=DOM_000000103007001000&pListTypeStr=&pId=15103832

Alerts

연번 has unique valuesUnique
업소명 has unique valuesUnique
소재지 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2024-03-14 01:59:30.450349
Analysis finished2024-03-14 01:59:31.004583
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.5
Minimum1
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2024-03-14T10:59:31.071658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.75
Q114.75
median28.5
Q342.25
95-th percentile53.25
Maximum56
Range55
Interquartile range (IQR)27.5

Descriptive statistics

Standard deviation16.309506
Coefficient of variation (CV)0.57226338
Kurtosis-1.2
Mean28.5
Median Absolute Deviation (MAD)14
Skewness0
Sum1596
Variance266
MonotonicityStrictly increasing
2024-03-14T10:59:31.191721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.8%
30 1
 
1.8%
32 1
 
1.8%
33 1
 
1.8%
34 1
 
1.8%
35 1
 
1.8%
36 1
 
1.8%
37 1
 
1.8%
38 1
 
1.8%
39 1
 
1.8%
Other values (46) 46
82.1%
ValueCountFrequency (%)
1 1
1.8%
2 1
1.8%
3 1
1.8%
4 1
1.8%
5 1
1.8%
6 1
1.8%
7 1
1.8%
8 1
1.8%
9 1
1.8%
10 1
1.8%
ValueCountFrequency (%)
56 1
1.8%
55 1
1.8%
54 1
1.8%
53 1
1.8%
52 1
1.8%
51 1
1.8%
50 1
1.8%
49 1
1.8%
48 1
1.8%
47 1
1.8%

업소명
Text

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
2024-03-14T10:59:31.389579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length5.3214286
Min length2

Characters and Unicode

Total characters298
Distinct characters147
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)100.0%

Sample

1st row매주육일
2nd row명륜진사갈비조촌점
3rd row보배밥상
4th row갈비스토리
5th row어시장활어회직거래판매장
ValueCountFrequency (%)
풍천장어타운 2
 
3.4%
매주육일 1
 
1.7%
장국명가 1
 
1.7%
금강해물칼국수 1
 
1.7%
모산방 1
 
1.7%
신가네칼국수 1
 
1.7%
새만금횟집 1
 
1.7%
웰미가수송점 1
 
1.7%
해송 1
 
1.7%
조선화로집 1
 
1.7%
Other values (47) 47
81.0%
2024-03-14T10:59:31.667752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 13
 
4.4%
산 9
 
3.0%
장 8
 
2.7%
군 7
 
2.3%
가 7
 
2.3%
수 6
 
2.0%
미 6
 
2.0%
어 5
 
1.7%
갈 5
 
1.7%
송 5
 
1.7%
Other values (137) 227
76.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 293
98.3%
Space Separator 2
 
0.7%
Other Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 13
 
4.4%
산 9
 
3.1%
장 8
 
2.7%
군 7
 
2.4%
가 7
 
2.4%
수 6
 
2.0%
미 6
 
2.0%
어 5
 
1.7%
갈 5
 
1.7%
송 5
 
1.7%
Other values (133) 222
75.8%
Space Separator
ValueCountFrequency (%)
2
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 293
98.3%
Common 5
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 13
 
4.4%
산 9
 
3.1%
장 8
 
2.7%
군 7
 
2.4%
가 7
 
2.4%
수 6
 
2.0%
미 6
 
2.0%
어 5
 
1.7%
갈 5
 
1.7%
송 5
 
1.7%
Other values (133) 222
75.8%
Common
ValueCountFrequency (%)
2
40.0%
& 1
20.0%
( 1
20.0%
) 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 293
98.3%
ASCII 5
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 13
 
4.4%
산 9
 
3.1%
장 8
 
2.7%
군 7
 
2.4%
가 7
 
2.4%
수 6
 
2.0%
미 6
 
2.0%
어 5
 
1.7%
갈 5
 
1.7%
송 5
 
1.7%
Other values (133) 222
75.8%
ASCII
ValueCountFrequency (%)
2
40.0%
& 1
20.0%
( 1
20.0%
) 1
20.0%

소재지
Text

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
2024-03-14T10:59:31.939161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length36
Mean length28.160714
Min length23

Characters and Unicode

Total characters1577
Distinct characters112
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

Unique56 ?
Unique (%)100.0%

Sample

1st row전북특별자치도 군산시 궁포3로 13, 1층 118호 (조촌동)
2nd row전북특별자치도 군산시 진포로 211 (경암동)
3rd row전북특별자치도 군산시 남수송4길 8-6 (수송동)
4th row전북특별자치도 군산시 하나운1길 15 (1,2)층 (나운동)
5th row전북특별자치도 군산시 신평길 20, 1동 1, 2층 (수송동)
ValueCountFrequency (%)
전북특별자치도 56
 
18.0%
군산시 56
 
18.0%
수송동 12
 
3.9%
나운동 8
 
2.6%
2층 7
 
2.3%
1층 6
 
1.9%
미장동 4
 
1.3%
소룡동 3
 
1.0%
1동 3
 
1.0%
월명로 3
 
1.0%
Other values (132) 153
49.2%
2024-03-14T10:59:32.347529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
255
 
16.2%
산 60
 
3.8%
1 59
 
3.7%
도 59
 
3.7%
동 59
 
3.7%
북 57
 
3.6%
전 56
 
3.6%
특 56
 
3.6%
별 56
 
3.6%
자 56
 
3.6%
Other values (102) 804
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 956
60.6%
Space Separator 255
 
16.2%
Decimal Number 221
 
14.0%
Close Punctuation 52
 
3.3%
Open Punctuation 52
 
3.3%
Other Punctuation 32
 
2.0%
Dash Punctuation 9
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 60
 
6.3%
도 59
 
6.2%
동 59
 
6.2%
북 57
 
6.0%
전 56
 
5.9%
특 56
 
5.9%
별 56
 
5.9%
자 56
 
5.9%
치 56
 
5.9%
군 56
 
5.9%
Other values (86) 385
40.3%
Decimal Number
ValueCountFrequency (%)
1 59
26.7%
2 45
20.4%
0 22
 
10.0%
5 20
 
9.0%
4 17
 
7.7%
6 13
 
5.9%
3 13
 
5.9%
7 12
 
5.4%
9 10
 
4.5%
8 10
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 31
96.9%
. 1
 
3.1%
Space Separator
ValueCountFrequency (%)
255
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 956
60.6%
Common 621
39.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 60
 
6.3%
도 59
 
6.2%
동 59
 
6.2%
북 57
 
6.0%
전 56
 
5.9%
특 56
 
5.9%
별 56
 
5.9%
자 56
 
5.9%
치 56
 
5.9%
군 56
 
5.9%
Other values (86) 385
40.3%
Common
ValueCountFrequency (%)
255
41.1%
1 59
 
9.5%
) 52
 
8.4%
( 52
 
8.4%
2 45
 
7.2%
, 31
 
5.0%
0 22
 
3.5%
5 20
 
3.2%
4 17
 
2.7%
6 13
 
2.1%
Other values (6) 55
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 956
60.6%
ASCII 621
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
255
41.1%
1 59
 
9.5%
) 52
 
8.4%
( 52
 
8.4%
2 45
 
7.2%
, 31
 
5.0%
0 22
 
3.5%
5 20
 
3.2%
4 17
 
2.7%
6 13
 
2.1%
Other values (6) 55
 
8.9%
Hangul
ValueCountFrequency (%)
산 60
 
6.3%
도 59
 
6.2%
동 59
 
6.2%
북 57
 
6.0%
전 56
 
5.9%
특 56
 
5.9%
별 56
 
5.9%
자 56
 
5.9%
치 56
 
5.9%
군 56
 
5.9%
Other values (86) 385
40.3%

연락처
Text

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
2024-03-14T10:59:32.550650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters672
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)100.0%

Sample

1st row063-442-0062
2nd row063-445-8500
3rd row063-461-6692
4th row063-442-2832
5th row063-471-8844
ValueCountFrequency (%)
063-442-0062 1
 
1.8%
063-445-8500 1
 
1.8%
063-466-2995 1
 
1.8%
063-453-8858 1
 
1.8%
063-463-4411 1
 
1.8%
063-453-6333 1
 
1.8%
063-464-1001 1
 
1.8%
063-462-0095 1
 
1.8%
063-466-0947 1
 
1.8%
063-467-6067 1
 
1.8%
Other values (46) 46
82.1%
2024-03-14T10:59:32.919310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 115
17.1%
- 112
16.7%
0 95
14.1%
4 92
13.7%
3 84
12.5%
2 37
 
5.5%
5 36
 
5.4%
1 30
 
4.5%
7 25
 
3.7%
8 23
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 560
83.3%
Dash Punctuation 112
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 115
20.5%
0 95
17.0%
4 92
16.4%
3 84
15.0%
2 37
 
6.6%
5 36
 
6.4%
1 30
 
5.4%
7 25
 
4.5%
8 23
 
4.1%
9 23
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 672
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 115
17.1%
- 112
16.7%
0 95
14.1%
4 92
13.7%
3 84
12.5%
2 37
 
5.5%
5 36
 
5.4%
1 30
 
4.5%
7 25
 
3.7%
8 23
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 672
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 115
17.1%
- 112
16.7%
0 95
14.1%
4 92
13.7%
3 84
12.5%
2 37
 
5.5%
5 36
 
5.4%
1 30
 
4.5%
7 25
 
3.7%
8 23
 
3.4%

음식종류
Text

Distinct53
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
2024-03-14T10:59:33.149547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length7.4642857
Min length2

Characters and Unicode

Total characters418
Distinct characters127
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)89.3%

Sample

1st row이베리코 돼지고기
2nd row숯불돼지갈비
3rd row더덕제육쌈밥, 생선구이
4th row돼지갈비
5th row생선회, 생선탕, 킹크랩찜
ValueCountFrequency (%)
갈비 3
 
3.9%
한정식 2
 
2.6%
생선회,생선찜,생선탕 2
 
2.6%
설렁탕 2
 
2.6%
콩나물국밥 2
 
2.6%
돼지갈비 2
 
2.6%
생선회 2
 
2.6%
생선탕 2
 
2.6%
냉면 2
 
2.6%
퓨전한정식 1
 
1.3%
Other values (56) 56
73.7%
2024-03-14T10:59:33.531137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 43
 
10.3%
20
 
4.8%
생 19
 
4.5%
선 19
 
4.5%
탕 16
 
3.8%
갈 12
 
2.9%
비 12
 
2.9%
찜 10
 
2.4%
회 9
 
2.2%
식 9
 
2.2%
Other values (117) 249
59.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 355
84.9%
Other Punctuation 43
 
10.3%
Space Separator 20
 
4.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
생 19
 
5.4%
선 19
 
5.4%
탕 16
 
4.5%
갈 12
 
3.4%
비 12
 
3.4%
찜 10
 
2.8%
회 9
 
2.5%
식 9
 
2.5%
한 8
 
2.3%
물 7
 
2.0%
Other values (115) 234
65.9%
Other Punctuation
ValueCountFrequency (%)
, 43
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 355
84.9%
Common 63
 
15.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
생 19
 
5.4%
선 19
 
5.4%
탕 16
 
4.5%
갈 12
 
3.4%
비 12
 
3.4%
찜 10
 
2.8%
회 9
 
2.5%
식 9
 
2.5%
한 8
 
2.3%
물 7
 
2.0%
Other values (115) 234
65.9%
Common
ValueCountFrequency (%)
, 43
68.3%
20
31.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 355
84.9%
ASCII 63
 
15.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 43
68.3%
20
31.7%
Hangul
ValueCountFrequency (%)
생 19
 
5.4%
선 19
 
5.4%
탕 16
 
4.5%
갈 12
 
3.4%
비 12
 
3.4%
찜 10
 
2.8%
회 9
 
2.5%
식 9
 
2.5%
한 8
 
2.3%
물 7
 
2.0%
Other values (115) 234
65.9%

Interactions

2024-03-14T10:59:30.780800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T10:59:33.604057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명소재지연락처음식종류
연번1.0001.0001.0001.0000.794
업소명1.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.000
음식종류0.7941.0001.0001.0001.000

Missing values

2024-03-14T10:59:30.872881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T10:59:30.968846image/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

연번업소명소재지연락처음식종류
01매주육일전북특별자치도 군산시 궁포3로 13, 1층 118호 (조촌동)063-442-0062이베리코 돼지고기
12명륜진사갈비조촌점전북특별자치도 군산시 진포로 211 (경암동)063-445-8500숯불돼지갈비
23보배밥상전북특별자치도 군산시 남수송4길 8-6 (수송동)063-461-6692더덕제육쌈밥, 생선구이
34갈비스토리전북특별자치도 군산시 하나운1길 15 (1,2)층 (나운동)063-442-2832돼지갈비
45어시장활어회직거래판매장전북특별자치도 군산시 신평길 20, 1동 1, 2층 (수송동)063-471-8844생선회, 생선탕, 킹크랩찜
56라라코스트수송점전북특별자치도 군산시 월명로 254 (수송동, 202,203호)063-466-3230스테이크, 필라프
67남원용담골추어탕전북특별자치도 군산시 수송로 315, 101호,102호 (미장동)063-467-7952추어탕, 코다리
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4950군산떡갈비전북특별자치도 군산시 미장6길 16 (미장동)063-467-8877떡갈비
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