Overview

Dataset statistics

Number of variables6
Number of observations47
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory51.8 B

Variable types

Numeric1
Text4
DateTime1

Dataset

Description이 데이터는 2021년 9월 27일 기준으로 전라북도 남원시에 있는 모범음식점에 대하여 업소명, 주소, 주취급음식 등에 대한 데이터입니다.
Author전라북도 남원시
URLhttps://www.data.go.kr/data/15089940/fileData.do

Alerts

데이터 기준일자 has constant value ""Constant
연번 has unique valuesUnique
업소명 has unique valuesUnique
소재지(도로명) has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:23:34.088588
Analysis finished2023-12-12 21:23:35.091368
Duration1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24
Minimum1
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-13T06:23:35.187464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.3
Q112.5
median24
Q335.5
95-th percentile44.7
Maximum47
Range46
Interquartile range (IQR)23

Descriptive statistics

Standard deviation13.711309
Coefficient of variation (CV)0.57130455
Kurtosis-1.2
Mean24
Median Absolute Deviation (MAD)12
Skewness0
Sum1128
Variance188
MonotonicityStrictly increasing
2023-12-13T06:23:35.347172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
1 1
 
2.1%
2 1
 
2.1%
27 1
 
2.1%
28 1
 
2.1%
29 1
 
2.1%
30 1
 
2.1%
31 1
 
2.1%
32 1
 
2.1%
33 1
 
2.1%
34 1
 
2.1%
Other values (37) 37
78.7%
ValueCountFrequency (%)
1 1
2.1%
2 1
2.1%
3 1
2.1%
4 1
2.1%
5 1
2.1%
6 1
2.1%
7 1
2.1%
8 1
2.1%
9 1
2.1%
10 1
2.1%
ValueCountFrequency (%)
47 1
2.1%
46 1
2.1%
45 1
2.1%
44 1
2.1%
43 1
2.1%
42 1
2.1%
41 1
2.1%
40 1
2.1%
39 1
2.1%
38 1
2.1%

업소명
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-13T06:23:35.639431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length5.7659574
Min length2

Characters and Unicode

Total characters271
Distinct characters137
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)100.0%

Sample

1st row중마해물찜
2nd row가나안식당
3rd row청학동회관
4th row춘향마루
5th row경방루
ValueCountFrequency (%)
중마해물찜 1
 
1.8%
버섯동네큰잔치 1
 
1.8%
한우물 1
 
1.8%
바지락 1
 
1.8%
죽 1
 
1.8%
전문 1
 
1.8%
까치정 1
 
1.8%
무진장아구복 1
 
1.8%
새집 1
 
1.8%
남원 1
 
1.8%
Other values (46) 46
82.1%
2023-12-13T06:23:36.064776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 11
 
4.1%
9
 
3.3%
남 8
 
3.0%
마 7
 
2.6%
수 5
 
1.8%
한 5
 
1.8%
가 5
 
1.8%
산 5
 
1.8%
우 5
 
1.8%
장 5
 
1.8%
Other values (127) 206
76.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 259
95.6%
Space Separator 9
 
3.3%
Close Punctuation 1
 
0.4%
Open Punctuation 1
 
0.4%
Other Symbol 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 11
 
4.2%
남 8
 
3.1%
마 7
 
2.7%
수 5
 
1.9%
한 5
 
1.9%
가 5
 
1.9%
산 5
 
1.9%
우 5
 
1.9%
장 5
 
1.9%
당 5
 
1.9%
Other values (123) 198
76.4%
Space Separator
ValueCountFrequency (%)
9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 260
95.9%
Common 11
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 11
 
4.2%
남 8
 
3.1%
마 7
 
2.7%
수 5
 
1.9%
한 5
 
1.9%
가 5
 
1.9%
산 5
 
1.9%
우 5
 
1.9%
장 5
 
1.9%
당 5
 
1.9%
Other values (124) 199
76.5%
Common
ValueCountFrequency (%)
9
81.8%
) 1
 
9.1%
( 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 259
95.6%
ASCII 11
 
4.1%
None 1
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 11
 
4.2%
남 8
 
3.1%
마 7
 
2.7%
수 5
 
1.9%
한 5
 
1.9%
가 5
 
1.9%
산 5
 
1.9%
우 5
 
1.9%
장 5
 
1.9%
당 5
 
1.9%
Other values (123) 198
76.4%
ASCII
ValueCountFrequency (%)
9
81.8%
) 1
 
9.1%
( 1
 
9.1%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지(도로명)
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-13T06:23:36.297604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length17.06383
Min length14

Characters and Unicode

Total characters802
Distinct characters74
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

Unique47 ?
Unique (%)100.0%

Sample

1st row전라북도 남원시 검멀길 11
2nd row전라북도 남원시 관서당길 23
3rd row전라북도 남원시 관서당길 31
4th row전라북도 남원시 광한북로 25-1
5th row전라북도 남원시 광한북로 29
ValueCountFrequency (%)
전라북도 47
23.9%
남원시 46
23.4%
향단로 4
 
2.0%
시청동로 3
 
1.5%
11 3
 
1.5%
요천로 2
 
1.0%
14 2
 
1.0%
산내면 2
 
1.0%
지리산로 2
 
1.0%
원천로 2
 
1.0%
Other values (72) 84
42.6%
2023-12-13T06:23:36.729737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
150
18.7%
시 52
 
6.5%
북 49
 
6.1%
남 49
 
6.1%
원 49
 
6.1%
전 47
 
5.9%
도 47
 
5.9%
라 47
 
5.9%
1 31
 
3.9%
로 27
 
3.4%
Other values (64) 254
31.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 519
64.7%
Space Separator 150
 
18.7%
Decimal Number 122
 
15.2%
Dash Punctuation 10
 
1.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 52
10.0%
북 49
 
9.4%
남 49
 
9.4%
원 49
 
9.4%
전 47
 
9.1%
도 47
 
9.1%
라 47
 
9.1%
로 27
 
5.2%
길 20
 
3.9%
면 9
 
1.7%
Other values (51) 123
23.7%
Decimal Number
ValueCountFrequency (%)
1 31
25.4%
2 19
15.6%
8 14
11.5%
4 12
 
9.8%
7 10
 
8.2%
3 9
 
7.4%
5 9
 
7.4%
9 7
 
5.7%
6 6
 
4.9%
0 5
 
4.1%
Space Separator
ValueCountFrequency (%)
150
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 519
64.7%
Common 283
35.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 52
10.0%
북 49
 
9.4%
남 49
 
9.4%
원 49
 
9.4%
전 47
 
9.1%
도 47
 
9.1%
라 47
 
9.1%
로 27
 
5.2%
길 20
 
3.9%
면 9
 
1.7%
Other values (51) 123
23.7%
Common
ValueCountFrequency (%)
150
53.0%
1 31
 
11.0%
2 19
 
6.7%
8 14
 
4.9%
4 12
 
4.2%
- 10
 
3.5%
7 10
 
3.5%
3 9
 
3.2%
5 9
 
3.2%
9 7
 
2.5%
Other values (3) 12
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 519
64.7%
ASCII 283
35.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
150
53.0%
1 31
 
11.0%
2 19
 
6.7%
8 14
 
4.9%
4 12
 
4.2%
- 10
 
3.5%
7 10
 
3.5%
3 9
 
3.2%
5 9
 
3.2%
9 7
 
2.5%
Other values (3) 12
 
4.2%
Hangul
ValueCountFrequency (%)
시 52
10.0%
북 49
 
9.4%
남 49
 
9.4%
원 49
 
9.4%
전 47
 
9.1%
도 47
 
9.1%
라 47
 
9.1%
로 27
 
5.2%
길 20
 
3.9%
면 9
 
1.7%
Other values (51) 123
23.7%

주취급음식
Text

Distinct42
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-13T06:23:36.953533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length4.2340426
Min length2

Characters and Unicode

Total characters199
Distinct characters79
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

Unique37 ?
Unique (%)78.7%

Sample

1st row해물찜
2nd row한정식
3rd row한정식
4th row생선구이
5th row양장피
ValueCountFrequency (%)
한정식 3
 
5.9%
해물찜 2
 
3.9%
추어탕 2
 
3.9%
흑돼지구이 2
 
3.9%
버섯전골 2
 
3.9%
돼지갈비 2
 
3.9%
육류구이 2
 
3.9%
뷔페 1
 
2.0%
숙회 1
 
2.0%
대지갈비 1
 
2.0%
Other values (33) 33
64.7%
2023-12-13T06:23:37.297730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 10
 
5.0%
구 10
 
5.0%
이 10
 
5.0%
탕 9
 
4.5%
식 6
 
3.0%
정 6
 
3.0%
돼 5
 
2.5%
전 4
 
2.0%
골 4
 
2.0%
산 4
 
2.0%
Other values (69) 131
65.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 192
96.5%
Space Separator 4
 
2.0%
Other Punctuation 3
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 10
 
5.2%
구 10
 
5.2%
이 10
 
5.2%
탕 9
 
4.7%
식 6
 
3.1%
정 6
 
3.1%
돼 5
 
2.6%
전 4
 
2.1%
골 4
 
2.1%
산 4
 
2.1%
Other values (67) 124
64.6%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 192
96.5%
Common 7
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 10
 
5.2%
구 10
 
5.2%
이 10
 
5.2%
탕 9
 
4.7%
식 6
 
3.1%
정 6
 
3.1%
돼 5
 
2.6%
전 4
 
2.1%
골 4
 
2.1%
산 4
 
2.1%
Other values (67) 124
64.6%
Common
ValueCountFrequency (%)
4
57.1%
, 3
42.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 192
96.5%
ASCII 7
 
3.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 10
 
5.2%
구 10
 
5.2%
이 10
 
5.2%
탕 9
 
4.7%
식 6
 
3.1%
정 6
 
3.1%
돼 5
 
2.6%
전 4
 
2.1%
골 4
 
2.1%
산 4
 
2.1%
Other values (67) 124
64.6%
ASCII
ValueCountFrequency (%)
4
57.1%
, 3
42.9%

전화번호
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-13T06:23:37.525058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters564
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

Unique47 ?
Unique (%)100.0%

Sample

1st row063-633-4789
2nd row063-632-5566
3rd row063-625-1950
4th row063-636-8198
5th row063-625-2325
ValueCountFrequency (%)
063-633-4789 1
 
2.1%
063-625-3663 1
 
2.1%
063-632-1880 1
 
2.1%
063-635-9293 1
 
2.1%
063-636-8080 1
 
2.1%
063-634-0158 1
 
2.1%
063-625-2443 1
 
2.1%
063-626-2004 1
 
2.1%
063-636-8118 1
 
2.1%
063-635-1559 1
 
2.1%
Other values (37) 37
78.7%
2023-12-13T06:23:37.891871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 122
21.6%
3 113
20.0%
- 94
16.7%
0 75
13.3%
5 37
 
6.6%
2 36
 
6.4%
7 22
 
3.9%
8 21
 
3.7%
1 20
 
3.5%
9 14
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 470
83.3%
Dash Punctuation 94
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 122
26.0%
3 113
24.0%
0 75
16.0%
5 37
 
7.9%
2 36
 
7.7%
7 22
 
4.7%
8 21
 
4.5%
1 20
 
4.3%
9 14
 
3.0%
4 10
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 564
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 122
21.6%
3 113
20.0%
- 94
16.7%
0 75
13.3%
5 37
 
6.6%
2 36
 
6.4%
7 22
 
3.9%
8 21
 
3.7%
1 20
 
3.5%
9 14
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 564
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 122
21.6%
3 113
20.0%
- 94
16.7%
0 75
13.3%
5 37
 
6.6%
2 36
 
6.4%
7 22
 
3.9%
8 21
 
3.7%
1 20
 
3.5%
9 14
 
2.5%

데이터 기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum2021-09-27 00:00:00
Maximum2021-09-27 00:00:00
2023-12-13T06:23:38.044425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:23:38.172729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T06:23:34.726211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:23:38.249305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명소재지(도로명)주취급음식전화번호
연번1.0001.0001.0000.8711.000
업소명1.0001.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.0001.000
주취급음식0.8711.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000

Missing values

2023-12-13T06:23:34.827240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:23:35.026647image/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

연번업소명소재지(도로명)주취급음식전화번호데이터 기준일자
01중마해물찜전라북도 남원시 검멀길 11해물찜063-633-47892021-09-27
12가나안식당전라북도 남원시 관서당길 23한정식063-632-55662021-09-27
23청학동회관전라북도 남원시 관서당길 31한정식063-625-19502021-09-27
34춘향마루전라북도 남원시 광한북로 25-1생선구이063-636-81982021-09-27
45경방루전라북도 남원시 광한북로 29양장피063-625-23252021-09-27
56박토랑전라북도 남원시 광한서로 50낙지연포탕063-632-67402021-09-27
67춘향골한우회관전라북도 남원시 광한서로 88, 2층육류구이063-631-06862021-09-27
78일등병 최네집전라북도 남원시 금동로 15-17부대찌개063-626-28332021-09-27
89금동호박터전라북도 남원시 금동로 60돼지갈비063-633-82552021-09-27
910정가네국수전라북도 남원시 금하정1길 7-9국수063-633-63302021-09-27
연번업소명소재지(도로명)주취급음식전화번호데이터 기준일자
3738일미가 칼국수전라북도 남원시 정문길 8바지락 칼국수063-635-87772021-09-27
3839자연미림전라북도 남원시 주천면 범실길 42-75닭백숙063-631-12982021-09-27
3940라테라스(더스위트호텔남원)전라북도 남원시 주천면 원천로 217뷔페063-630-71002021-09-27
4041강산전라북도 남원시 충정로 348닭도가니탕063-632-30632021-09-27
4142킹아구해물찜전라북도 남원시 큰들2길 7해물찜063-635-12372021-09-27
4243지리산 깜디돈전라북도 남원시 하정2길 14흑돼지구이063-630-50922021-09-27
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4445남원이조갈비전라북도 남원시 향단로 18대지갈비063-635-70732021-09-27
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