Overview

Dataset statistics

Number of variables7
Number of observations46
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory60.9 B

Variable types

Numeric2
Text4
Categorical1

Dataset

Description충청북도 대물림업소에 대한 업소명, 소재지, 세부주소, 대표자, 전화번호, 취급음식, 지정연도 데이터를 포함하여 제공
URLhttps://www.data.go.kr/data/15061616/fileData.do

Alerts

연번 is highly overall correlated with 소재지High correlation
소재지 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
업소명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:45:30.318275
Analysis finished2023-12-12 14:45:31.987933
Duration1.67 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.5
Minimum1
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T23:45:32.100168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.25
Q112.25
median23.5
Q334.75
95-th percentile43.75
Maximum46
Range45
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation13.422618
Coefficient of variation (CV)0.57117522
Kurtosis-1.2
Mean23.5
Median Absolute Deviation (MAD)11.5
Skewness0
Sum1081
Variance180.16667
MonotonicityStrictly increasing
2023-12-12T23:45:32.647355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1 1
 
2.2%
36 1
 
2.2%
27 1
 
2.2%
28 1
 
2.2%
29 1
 
2.2%
30 1
 
2.2%
31 1
 
2.2%
32 1
 
2.2%
33 1
 
2.2%
34 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
1 1
2.2%
2 1
2.2%
3 1
2.2%
4 1
2.2%
5 1
2.2%
6 1
2.2%
7 1
2.2%
8 1
2.2%
9 1
2.2%
10 1
2.2%
ValueCountFrequency (%)
46 1
2.2%
45 1
2.2%
44 1
2.2%
43 1
2.2%
42 1
2.2%
41 1
2.2%
40 1
2.2%
39 1
2.2%
38 1
2.2%
37 1
2.2%

업소명
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T23:45:32.954088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length4.4782609
Min length2

Characters and Unicode

Total characters206
Distinct characters110
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)100.0%

Sample

1st row상주올갱이집
2nd row리정식당
3rd row삼미족발
4th row청송통닭
5th row소영칼국수
ValueCountFrequency (%)
상주올갱이집 1
 
2.2%
송애집 1
 
2.2%
갈매기식당 1
 
2.2%
속리토속음식점 1
 
2.2%
코끼리식당 1
 
2.2%
선광집 1
 
2.2%
구읍할매묵집 1
 
2.2%
개미식당 1
 
2.2%
안성식당 1
 
2.2%
한미손칼국수 1
 
2.2%
Other values (36) 36
78.3%
2023-12-12T23:45:33.447623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 17
 
8.3%
당 17
 
8.3%
집 16
 
7.8%
미 5
 
2.4%
리 4
 
1.9%
가 4
 
1.9%
갈 3
 
1.5%
삼 3
 
1.5%
송 3
 
1.5%
든 3
 
1.5%
Other values (100) 131
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 206
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 17
 
8.3%
당 17
 
8.3%
집 16
 
7.8%
미 5
 
2.4%
리 4
 
1.9%
가 4
 
1.9%
갈 3
 
1.5%
삼 3
 
1.5%
송 3
 
1.5%
든 3
 
1.5%
Other values (100) 131
63.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 206
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 17
 
8.3%
당 17
 
8.3%
집 16
 
7.8%
미 5
 
2.4%
리 4
 
1.9%
가 4
 
1.9%
갈 3
 
1.5%
삼 3
 
1.5%
송 3
 
1.5%
든 3
 
1.5%
Other values (100) 131
63.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 206
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 17
 
8.3%
당 17
 
8.3%
집 16
 
7.8%
미 5
 
2.4%
리 4
 
1.9%
가 4
 
1.9%
갈 3
 
1.5%
삼 3
 
1.5%
송 3
 
1.5%
든 3
 
1.5%
Other values (100) 131
63.6%

소재지
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Memory size500.0 B
청주시
11 
충주시
8 
보은군
5 
진천군
5 
단양군
5 
Other values (4)
12 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청주시 11
23.9%
충주시 8
17.4%
보은군 5
10.9%
진천군 5
10.9%
단양군 5
10.9%
영동군 4
 
8.7%
제천시 3
 
6.5%
괴산군 3
 
6.5%
옥천군 2
 
4.3%

Length

2023-12-12T23:45:33.629308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:45:33.782056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청주시 11
23.9%
충주시 8
17.4%
보은군 5
10.9%
진천군 5
10.9%
단양군 5
10.9%
영동군 4
 
8.7%
제천시 3
 
6.5%
괴산군 3
 
6.5%
옥천군 2
 
4.3%

세부주소
Text

Distinct45
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T23:45:34.167222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length12.521739
Min length7

Characters and Unicode

Total characters576
Distinct characters99
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

Unique44 ?
Unique (%)95.7%

Sample

1st row상당구 남사로 93번길 19
2nd row청원구 우암로 71-1
3rd row청원구 향군로 35
4th row상당구 남사로 116
5th row상당구 교동로 3번길 146
ValueCountFrequency (%)
상당구 7
 
5.0%
초평면 4
 
2.9%
속리산면 3
 
2.1%
단양읍 3
 
2.1%
남사로 3
 
2.1%
괴산읍 3
 
2.1%
초평로 3
 
2.1%
수안보면 2
 
1.4%
사내7길 2
 
1.4%
황간면 2
 
1.4%
Other values (98) 108
77.1%
2023-12-12T23:45:34.631052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
95
 
16.5%
1 39
 
6.8%
로 32
 
5.6%
길 24
 
4.2%
2 22
 
3.8%
면 19
 
3.3%
5 19
 
3.3%
산 15
 
2.6%
읍 14
 
2.4%
3 14
 
2.4%
Other values (89) 283
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 315
54.7%
Decimal Number 151
26.2%
Space Separator 95
 
16.5%
Dash Punctuation 11
 
1.9%
Close Punctuation 2
 
0.3%
Open Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 32
 
10.2%
길 24
 
7.6%
면 19
 
6.0%
산 15
 
4.8%
읍 14
 
4.4%
구 13
 
4.1%
사 9
 
2.9%
당 8
 
2.5%
상 8
 
2.5%
평 8
 
2.5%
Other values (75) 165
52.4%
Decimal Number
ValueCountFrequency (%)
1 39
25.8%
2 22
14.6%
5 19
12.6%
3 14
 
9.3%
4 14
 
9.3%
7 10
 
6.6%
0 10
 
6.6%
8 9
 
6.0%
9 8
 
5.3%
6 6
 
4.0%
Space Separator
ValueCountFrequency (%)
95
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 315
54.7%
Common 261
45.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 32
 
10.2%
길 24
 
7.6%
면 19
 
6.0%
산 15
 
4.8%
읍 14
 
4.4%
구 13
 
4.1%
사 9
 
2.9%
당 8
 
2.5%
상 8
 
2.5%
평 8
 
2.5%
Other values (75) 165
52.4%
Common
ValueCountFrequency (%)
95
36.4%
1 39
14.9%
2 22
 
8.4%
5 19
 
7.3%
3 14
 
5.4%
4 14
 
5.4%
- 11
 
4.2%
7 10
 
3.8%
0 10
 
3.8%
8 9
 
3.4%
Other values (4) 18
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 315
54.7%
ASCII 261
45.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
95
36.4%
1 39
14.9%
2 22
 
8.4%
5 19
 
7.3%
3 14
 
5.4%
4 14
 
5.4%
- 11
 
4.2%
7 10
 
3.8%
0 10
 
3.8%
8 9
 
3.4%
Other values (4) 18
 
6.9%
Hangul
ValueCountFrequency (%)
로 32
 
10.2%
길 24
 
7.6%
면 19
 
6.0%
산 15
 
4.8%
읍 14
 
4.4%
구 13
 
4.1%
사 9
 
2.9%
당 8
 
2.5%
상 8
 
2.5%
평 8
 
2.5%
Other values (75) 165
52.4%

전화번호
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T23:45:34.869235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters552
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

Unique46 ?
Unique (%)100.0%

Sample

1st row043-256-7928
2nd row043-254-8947
3rd row043-253-8042
4th row043-255-6536
5th row043-224-2642
ValueCountFrequency (%)
043-256-7928 1
 
2.2%
043-532-6228 1
 
2.2%
043-422-7378 1
 
2.2%
043-543-3917 1
 
2.2%
043-544-4567 1
 
2.2%
043-732-8404 1
 
2.2%
043-732-1853 1
 
2.2%
043-742-8030 1
 
2.2%
043-742-4203 1
 
2.2%
043-743-8443 1
 
2.2%
Other values (36) 36
78.3%
2023-12-12T23:45:35.201937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 100
18.1%
- 92
16.7%
3 85
15.4%
0 65
11.8%
2 57
10.3%
5 41
7.4%
8 33
 
6.0%
7 26
 
4.7%
6 25
 
4.5%
9 16
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 460
83.3%
Dash Punctuation 92
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 100
21.7%
3 85
18.5%
0 65
14.1%
2 57
12.4%
5 41
8.9%
8 33
 
7.2%
7 26
 
5.7%
6 25
 
5.4%
9 16
 
3.5%
1 12
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 552
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 100
18.1%
- 92
16.7%
3 85
15.4%
0 65
11.8%
2 57
10.3%
5 41
7.4%
8 33
 
6.0%
7 26
 
4.7%
6 25
 
4.5%
9 16
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 552
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 100
18.1%
- 92
16.7%
3 85
15.4%
0 65
11.8%
2 57
10.3%
5 41
7.4%
8 33
 
6.0%
7 26
 
4.7%
6 25
 
4.5%
9 16
 
2.9%

취급음식
Text

Distinct38
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T23:45:35.414523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.4565217
Min length2

Characters and Unicode

Total characters205
Distinct characters96
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

Unique32 ?
Unique (%)69.6%

Sample

1st row올갱이국
2nd row육개장
3rd row돼지족발
4th row삼계탕
5th row칼국수
ValueCountFrequency (%)
붕어찜 4
 
8.5%
삼계탕 2
 
4.3%
칼국수 2
 
4.3%
민물매운탕 2
 
4.3%
올갱이국 2
 
4.3%
산채비빔밥 2
 
4.3%
올뱅이국밥 1
 
2.1%
흑염소 1
 
2.1%
전골 1
 
2.1%
마늘돼지갈비 1
 
2.1%
Other values (29) 29
61.7%
2023-12-12T23:45:35.756866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 9
 
4.4%
어 7
 
3.4%
탕 5
 
2.4%
찜 5
 
2.4%
리 5
 
2.4%
기 4
 
2.0%
고 4
 
2.0%
이 4
 
2.0%
물 4
 
2.0%
수 4
 
2.0%
Other values (86) 154
75.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 202
98.5%
Other Punctuation 2
 
1.0%
Space Separator 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 9
 
4.5%
어 7
 
3.5%
탕 5
 
2.5%
찜 5
 
2.5%
리 5
 
2.5%
기 4
 
2.0%
고 4
 
2.0%
이 4
 
2.0%
물 4
 
2.0%
수 4
 
2.0%
Other values (84) 151
74.8%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 202
98.5%
Common 3
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 9
 
4.5%
어 7
 
3.5%
탕 5
 
2.5%
찜 5
 
2.5%
리 5
 
2.5%
기 4
 
2.0%
고 4
 
2.0%
이 4
 
2.0%
물 4
 
2.0%
수 4
 
2.0%
Other values (84) 151
74.8%
Common
ValueCountFrequency (%)
, 2
66.7%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 202
98.5%
ASCII 3
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 9
 
4.5%
어 7
 
3.5%
탕 5
 
2.5%
찜 5
 
2.5%
리 5
 
2.5%
기 4
 
2.0%
고 4
 
2.0%
이 4
 
2.0%
물 4
 
2.0%
수 4
 
2.0%
Other values (84) 151
74.8%
ASCII
ValueCountFrequency (%)
, 2
66.7%
1
33.3%

지정년도
Real number (ℝ)

Distinct10
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2010.4348
Minimum2003
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T23:45:35.877974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2003
5-th percentile2003
Q12003.5
median2009
Q32018.5
95-th percentile2021
Maximum2021
Range18
Interquartile range (IQR)15

Descriptive statistics

Standard deviation7.0762582
Coefficient of variation (CV)0.0035197651
Kurtosis-1.4914678
Mean2010.4348
Median Absolute Deviation (MAD)6
Skewness0.42048591
Sum92480
Variance50.07343
MonotonicityNot monotonic
2023-12-12T23:45:36.007523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2003 12
26.1%
2005 8
17.4%
2021 8
17.4%
2009 4
 
8.7%
2019 4
 
8.7%
2011 3
 
6.5%
2007 2
 
4.3%
2015 2
 
4.3%
2017 2
 
4.3%
2013 1
 
2.2%
ValueCountFrequency (%)
2003 12
26.1%
2005 8
17.4%
2007 2
 
4.3%
2009 4
 
8.7%
2011 3
 
6.5%
2013 1
 
2.2%
2015 2
 
4.3%
2017 2
 
4.3%
2019 4
 
8.7%
2021 8
17.4%
ValueCountFrequency (%)
2021 8
17.4%
2019 4
 
8.7%
2017 2
 
4.3%
2015 2
 
4.3%
2013 1
 
2.2%
2011 3
 
6.5%
2009 4
 
8.7%
2007 2
 
4.3%
2005 8
17.4%
2003 12
26.1%

Interactions

2023-12-12T23:45:31.451694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:45:31.236153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:45:31.550716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:45:31.347385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:45:36.097979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명소재지세부주소전화번호취급음식지정년도
연번1.0001.0000.9311.0001.0000.9440.759
업소명1.0001.0001.0001.0001.0001.0001.000
소재지0.9311.0001.0001.0001.0000.9250.482
세부주소1.0001.0001.0001.0001.0000.9891.000
전화번호1.0001.0001.0001.0001.0001.0001.000
취급음식0.9441.0000.9250.9891.0001.0000.970
지정년도0.7591.0000.4821.0001.0000.9701.000
2023-12-12T23:45:36.222042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지정년도소재지
연번1.0000.2650.775
지정년도0.2651.0000.267
소재지0.7750.2671.000

Missing values

2023-12-12T23:45:31.774782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:45:31.924948image/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

연번업소명소재지세부주소전화번호취급음식지정년도
01상주올갱이집청주시상당구 남사로 93번길 19043-256-7928올갱이국2003
12리정식당청주시청원구 우암로 71-1043-254-8947육개장2003
23삼미족발청주시청원구 향군로 35043-253-8042돼지족발2003
34청송통닭청주시상당구 남사로 116043-255-6536삼계탕2003
45소영칼국수청주시상당구 교동로 3번길 146043-224-2642칼국수2003
56경주집청주시상당구 남사로 93번길 21043-221-6523버섯찌개2007
67공원당청주시상당구 상당로 55번길 40-2043-255-3894우동,메밀국수2007
78옥산장날순대청주시흥덕구 옥산면 청주역로 653-7043-260-4944순대국밥2003
89삼흥집청주시상당구 남일면 단재로 748043-297-5162돼지생고기2005
910유명오리촌청주시서원구 구룡산로405번길 121043-283-7970한방오리백숙2021
연번업소명소재지세부주소전화번호취급음식지정년도
3637초롱가든진천군초평면 평화로 452043-532-6476붕어찜2005
3738느티나무집진천군진천읍 백곡로 1253043-532-5534민물매운탕2017
3839오십년할머니집괴산군괴산읍 괴강로느티울길 8-1043-832-2974민물매운탕2009
3940중앙닭집식당괴산군괴산읍 읍내로 319043-833-0414삼계탕2011
4041주차장집식당괴산군괴산읍 읍내로 282043-832-2673올갱이국2017
4142금강식당단양군영춘면 백자1길 11043-423-2594도토리냉면2003
4243자연식당단양군단양읍 별곡10길 5-1043-422-3029마늘더덕주물럭2009
4344왕릉숯불돼지갈비단양군단양읍 중앙2로 13043-423-9292마늘돼지갈비2011
4445갈매기식당단양군단양군 대강면 단양로 74043-422-7378흑염소 전골2021
4546돌집식당단양군단양읍 중앙2로 11043-422-2842곤드레마늘정식2021