Overview

Dataset statistics

Number of variables8
Number of observations936
Missing cells278
Missing cells (%)3.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory59.5 KiB
Average record size in memory65.1 B

Variable types

Numeric1
Categorical2
Text4
DateTime1

Dataset

Description충청북도 옥천군_음식점현황에 대한 데이터로(업종명, 업소명, 대표자, 소재지 도로명 주소, 데이터 기준일 등)을 제공합니다. 전화번호 항목의 공란이 있으니 활용 시 유의하시기 바랍니다.
Author충청북도 옥천군
URLhttps://www.data.go.kr/data/15019523/fileData.do

Alerts

데이터기준일 has constant value ""Constant
군분 is highly overall correlated with 업종명High correlation
업종명 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 업종명High correlation
소재지(도로명) has 13 (1.4%) missing valuesMissing
소재지전화 has 261 (27.9%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:45:48.923107
Analysis finished2023-12-12 23:45:49.889738
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct936
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean468.5
Minimum1
Maximum936
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2023-12-13T08:45:50.237468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile47.75
Q1234.75
median468.5
Q3702.25
95-th percentile889.25
Maximum936
Range935
Interquartile range (IQR)467.5

Descriptive statistics

Standard deviation270.34423
Coefficient of variation (CV)0.5770421
Kurtosis-1.2
Mean468.5
Median Absolute Deviation (MAD)234
Skewness0
Sum438516
Variance73086
MonotonicityStrictly increasing
2023-12-13T08:45:50.391344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
630 1
 
0.1%
618 1
 
0.1%
619 1
 
0.1%
620 1
 
0.1%
621 1
 
0.1%
622 1
 
0.1%
623 1
 
0.1%
624 1
 
0.1%
625 1
 
0.1%
Other values (926) 926
98.9%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
936 1
0.1%
935 1
0.1%
934 1
0.1%
933 1
0.1%
932 1
0.1%
931 1
0.1%
930 1
0.1%
929 1
0.1%
928 1
0.1%
927 1
0.1%

업종명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
일반음식점
777 
휴게음식점
159 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 777
83.0%
휴게음식점 159
 
17.0%

Length

2023-12-13T08:45:50.522080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:45:50.612888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 777
83.0%
휴게음식점 159
 
17.0%

군분
Categorical

HIGH CORRELATION 

Distinct29
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
한식
437 
호프/통닭
70 
식육(숯불구이)
65 
커피숍
64 
기타
46 
Other values (24)
254 

Length

Max length15
Median length2
Mean length3.3183761
Min length2

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st row한식
2nd row한식
3rd row한식
4th row한식
5th row식육(숯불구이)

Common Values

ValueCountFrequency (%)
한식 437
46.7%
호프/통닭 70
 
7.5%
식육(숯불구이) 65
 
6.9%
커피숍 64
 
6.8%
기타 46
 
4.9%
분식 32
 
3.4%
중국식 31
 
3.3%
통닭(치킨) 27
 
2.9%
편의점 25
 
2.7%
일반조리판매 24
 
2.6%
Other values (19) 115
 
12.3%

Length

2023-12-13T08:45:50.710487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 437
45.7%
호프/통닭 70
 
7.3%
기타 66
 
6.9%
식육(숯불구이 65
 
6.8%
커피숍 64
 
6.7%
분식 32
 
3.3%
중국식 31
 
3.2%
통닭(치킨 27
 
2.8%
편의점 25
 
2.6%
일반조리판매 24
 
2.5%
Other values (19) 115
 
12.0%

업소명
Text

Distinct927
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2023-12-13T08:45:50.979486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length24
Mean length5.9967949
Min length2

Characters and Unicode

Total characters5613
Distinct characters602
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique918 ?
Unique (%)98.1%

Sample

1st row중앙집
2nd row선광집
3rd row별미올갱이
4th row류 집
5th row한양식당
ValueCountFrequency (%)
옥천점 31
 
2.6%
충북옥천점 11
 
0.9%
카페 11
 
0.9%
식당 8
 
0.7%
가든 6
 
0.5%
gs25 5
 
0.4%
세븐일레븐 4
 
0.3%
씨유 4
 
0.3%
옥천(상)휴게소 3
 
0.2%
해장국 3
 
0.2%
Other values (1072) 1119
92.9%
2023-12-13T08:45:51.384915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
271
 
4.8%
식 146
 
2.6%
천 140
 
2.5%
옥 136
 
2.4%
당 131
 
2.3%
점 105
 
1.9%
이 103
 
1.8%
가 86
 
1.5%
리 78
 
1.4%
수 63
 
1.1%
Other values (592) 4354
77.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4933
87.9%
Space Separator 271
 
4.8%
Lowercase Letter 127
 
2.3%
Uppercase Letter 97
 
1.7%
Open Punctuation 54
 
1.0%
Close Punctuation 54
 
1.0%
Decimal Number 54
 
1.0%
Other Punctuation 21
 
0.4%
Dash Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 146
 
3.0%
천 140
 
2.8%
옥 136
 
2.8%
당 131
 
2.7%
점 105
 
2.1%
이 103
 
2.1%
가 86
 
1.7%
리 78
 
1.6%
수 63
 
1.3%
스 62
 
1.3%
Other values (531) 3883
78.7%
Lowercase Letter
ValueCountFrequency (%)
e 21
16.5%
f 10
 
7.9%
o 10
 
7.9%
a 9
 
7.1%
s 9
 
7.1%
r 9
 
7.1%
i 8
 
6.3%
u 7
 
5.5%
c 7
 
5.5%
n 6
 
4.7%
Other values (12) 31
24.4%
Uppercase Letter
ValueCountFrequency (%)
C 12
12.4%
B 10
10.3%
S 9
9.3%
G 8
 
8.2%
A 7
 
7.2%
O 7
 
7.2%
P 6
 
6.2%
H 6
 
6.2%
E 5
 
5.2%
N 5
 
5.2%
Other values (12) 22
22.7%
Decimal Number
ValueCountFrequency (%)
2 19
35.2%
5 11
20.4%
9 5
 
9.3%
4 4
 
7.4%
8 4
 
7.4%
3 4
 
7.4%
6 3
 
5.6%
1 3
 
5.6%
0 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
& 10
47.6%
. 9
42.9%
' 2
 
9.5%
Space Separator
ValueCountFrequency (%)
271
100.0%
Open Punctuation
ValueCountFrequency (%)
( 54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 54
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4928
87.8%
Common 456
 
8.1%
Latin 224
 
4.0%
Han 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 146
 
3.0%
천 140
 
2.8%
옥 136
 
2.8%
당 131
 
2.7%
점 105
 
2.1%
이 103
 
2.1%
가 86
 
1.7%
리 78
 
1.6%
수 63
 
1.3%
스 62
 
1.3%
Other values (526) 3878
78.7%
Latin
ValueCountFrequency (%)
e 21
 
9.4%
C 12
 
5.4%
B 10
 
4.5%
f 10
 
4.5%
o 10
 
4.5%
S 9
 
4.0%
a 9
 
4.0%
s 9
 
4.0%
r 9
 
4.0%
G 8
 
3.6%
Other values (34) 117
52.2%
Common
ValueCountFrequency (%)
271
59.4%
( 54
 
11.8%
) 54
 
11.8%
2 19
 
4.2%
5 11
 
2.4%
& 10
 
2.2%
. 9
 
2.0%
9 5
 
1.1%
4 4
 
0.9%
8 4
 
0.9%
Other values (7) 15
 
3.3%
Han
ValueCountFrequency (%)
家 1
20.0%
宋 1
20.0%
情 1
20.0%
新 1
20.0%
辛 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4928
87.8%
ASCII 680
 
12.1%
CJK 5
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
271
39.9%
( 54
 
7.9%
) 54
 
7.9%
e 21
 
3.1%
2 19
 
2.8%
C 12
 
1.8%
5 11
 
1.6%
B 10
 
1.5%
f 10
 
1.5%
& 10
 
1.5%
Other values (51) 208
30.6%
Hangul
ValueCountFrequency (%)
식 146
 
3.0%
천 140
 
2.8%
옥 136
 
2.8%
당 131
 
2.7%
점 105
 
2.1%
이 103
 
2.1%
가 86
 
1.7%
리 78
 
1.6%
수 63
 
1.3%
스 62
 
1.3%
Other values (526) 3878
78.7%
CJK
ValueCountFrequency (%)
家 1
20.0%
宋 1
20.0%
情 1
20.0%
新 1
20.0%
辛 1
20.0%

소재지(도로명)
Text

MISSING 

Distinct828
Distinct (%)89.7%
Missing13
Missing (%)1.4%
Memory size7.4 KiB
2023-12-13T08:45:51.740681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length43
Mean length21.912243
Min length18

Characters and Unicode

Total characters20225
Distinct characters214
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique756 ?
Unique (%)81.9%

Sample

1st row충청북도 옥천군 군서면 동평4길 4
2nd row충청북도 옥천군 청산면 지전2길 14
3rd row충청북도 옥천군 옥천읍 삼금로2길 3-1
4th row충청북도 옥천군 군서면 동평1길 7-3
5th row충청북도 옥천군 청산면 지전1길 23
ValueCountFrequency (%)
충청북도 922
18.9%
옥천군 922
18.9%
옥천읍 606
 
12.4%
군북면 70
 
1.4%
금장로 64
 
1.3%
중앙로 63
 
1.3%
청산면 57
 
1.2%
성왕로 57
 
1.2%
이원면 55
 
1.1%
동이면 51
 
1.0%
Other values (720) 2010
41.2%
2023-12-13T08:45:52.255859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3954
19.6%
천 1598
 
7.9%
옥 1594
 
7.9%
군 1029
 
5.1%
청 996
 
4.9%
북 992
 
4.9%
충 922
 
4.6%
도 922
 
4.6%
1 709
 
3.5%
로 608
 
3.0%
Other values (204) 6901
34.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12934
64.0%
Space Separator 3954
 
19.6%
Decimal Number 2810
 
13.9%
Dash Punctuation 267
 
1.3%
Other Punctuation 184
 
0.9%
Close Punctuation 35
 
0.2%
Open Punctuation 35
 
0.2%
Uppercase Letter 4
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 1598
12.4%
옥 1594
12.3%
군 1029
 
8.0%
청 996
 
7.7%
북 992
 
7.7%
충 922
 
7.1%
도 922
 
7.1%
로 608
 
4.7%
읍 606
 
4.7%
길 457
 
3.5%
Other values (185) 3210
24.8%
Decimal Number
ValueCountFrequency (%)
1 709
25.2%
2 381
13.6%
3 330
11.7%
5 279
 
9.9%
4 266
 
9.5%
6 205
 
7.3%
0 172
 
6.1%
7 165
 
5.9%
8 152
 
5.4%
9 151
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 183
99.5%
@ 1
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
J 3
75.0%
A 1
 
25.0%
Space Separator
ValueCountFrequency (%)
3954
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 267
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12934
64.0%
Common 7287
36.0%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 1598
12.4%
옥 1594
12.3%
군 1029
 
8.0%
청 996
 
7.7%
북 992
 
7.7%
충 922
 
7.1%
도 922
 
7.1%
로 608
 
4.7%
읍 606
 
4.7%
길 457
 
3.5%
Other values (185) 3210
24.8%
Common
ValueCountFrequency (%)
3954
54.3%
1 709
 
9.7%
2 381
 
5.2%
3 330
 
4.5%
5 279
 
3.8%
- 267
 
3.7%
4 266
 
3.7%
6 205
 
2.8%
, 183
 
2.5%
0 172
 
2.4%
Other values (7) 541
 
7.4%
Latin
ValueCountFrequency (%)
J 3
75.0%
A 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12934
64.0%
ASCII 7291
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3954
54.2%
1 709
 
9.7%
2 381
 
5.2%
3 330
 
4.5%
5 279
 
3.8%
- 267
 
3.7%
4 266
 
3.6%
6 205
 
2.8%
, 183
 
2.5%
0 172
 
2.4%
Other values (9) 545
 
7.5%
Hangul
ValueCountFrequency (%)
천 1598
12.4%
옥 1594
12.3%
군 1029
 
8.0%
청 996
 
7.7%
북 992
 
7.7%
충 922
 
7.1%
도 922
 
7.1%
로 608
 
4.7%
읍 606
 
4.7%
길 457
 
3.5%
Other values (185) 3210
24.8%

소재지(지번)
Text

Distinct837
Distinct (%)89.8%
Missing4
Missing (%)0.4%
Memory size7.4 KiB
2023-12-13T08:45:52.538627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length46
Mean length23.772532
Min length19

Characters and Unicode

Total characters22156
Distinct characters197
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique760 ?
Unique (%)81.5%

Sample

1st row충청북도 옥천군 군서면 동평리 428-9
2nd row충청북도 옥천군 청산면 지전리 162-8
3rd row충청북도 옥천군 옥천읍 금구리 191-41
4th row충청북도 옥천군 청성면 산계리 203-2
5th row충청북도 옥천군 군서면 동평리 491-4
ValueCountFrequency (%)
충청북도 931
19.0%
옥천군 931
19.0%
옥천읍 607
 
12.4%
금구리 281
 
5.7%
군북면 71
 
1.5%
문정리 68
 
1.4%
삼양리 67
 
1.4%
청산면 58
 
1.2%
장야리 57
 
1.2%
이원면 56
 
1.1%
Other values (926) 1769
36.1%
2023-12-13T08:45:52.958852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4890
22.1%
천 1563
 
7.1%
옥 1557
 
7.0%
군 1039
 
4.7%
청 1034
 
4.7%
북 1006
 
4.5%
리 934
 
4.2%
충 931
 
4.2%
도 931
 
4.2%
1 838
 
3.8%
Other values (187) 7433
33.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12769
57.6%
Space Separator 4890
 
22.1%
Decimal Number 3639
 
16.4%
Dash Punctuation 826
 
3.7%
Other Punctuation 15
 
0.1%
Open Punctuation 7
 
< 0.1%
Close Punctuation 7
 
< 0.1%
Uppercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 1563
12.2%
옥 1557
12.2%
군 1039
 
8.1%
청 1034
 
8.1%
북 1006
 
7.9%
리 934
 
7.3%
충 931
 
7.3%
도 931
 
7.3%
읍 607
 
4.8%
면 324
 
2.5%
Other values (168) 2843
22.3%
Decimal Number
ValueCountFrequency (%)
1 838
23.0%
2 622
17.1%
3 408
11.2%
4 346
9.5%
5 292
 
8.0%
6 259
 
7.1%
8 242
 
6.7%
7 239
 
6.6%
0 217
 
6.0%
9 176
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 13
86.7%
. 1
 
6.7%
@ 1
 
6.7%
Space Separator
ValueCountFrequency (%)
4890
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 826
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Uppercase Letter
ValueCountFrequency (%)
J 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12769
57.6%
Common 9385
42.4%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 1563
12.2%
옥 1557
12.2%
군 1039
 
8.1%
청 1034
 
8.1%
북 1006
 
7.9%
리 934
 
7.3%
충 931
 
7.3%
도 931
 
7.3%
읍 607
 
4.8%
면 324
 
2.5%
Other values (168) 2843
22.3%
Common
ValueCountFrequency (%)
4890
52.1%
1 838
 
8.9%
- 826
 
8.8%
2 622
 
6.6%
3 408
 
4.3%
4 346
 
3.7%
5 292
 
3.1%
6 259
 
2.8%
8 242
 
2.6%
7 239
 
2.5%
Other values (8) 423
 
4.5%
Latin
ValueCountFrequency (%)
J 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12769
57.6%
ASCII 9387
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4890
52.1%
1 838
 
8.9%
- 826
 
8.8%
2 622
 
6.6%
3 408
 
4.3%
4 346
 
3.7%
5 292
 
3.1%
6 259
 
2.8%
8 242
 
2.6%
7 239
 
2.5%
Other values (9) 425
 
4.5%
Hangul
ValueCountFrequency (%)
천 1563
12.2%
옥 1557
12.2%
군 1039
 
8.1%
청 1034
 
8.1%
북 1006
 
7.9%
리 934
 
7.3%
충 931
 
7.3%
도 931
 
7.3%
읍 607
 
4.8%
면 324
 
2.5%
Other values (168) 2843
22.3%

소재지전화
Text

MISSING 

Distinct655
Distinct (%)97.0%
Missing261
Missing (%)27.9%
Memory size7.4 KiB
2023-12-13T08:45:53.314376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.979259
Min length9

Characters and Unicode

Total characters9436
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique643 ?
Unique (%)95.3%

Sample

1st row 043- 732-4009
2nd row043 -732 -8404
3rd row 043- 731-4423
4th row043 -732 -4005
5th row043 -732 -8083
ValueCountFrequency (%)
043 650
38.1%
731 147
 
8.6%
733 114
 
6.7%
732 86
 
5.0%
070 7
 
0.4%
8521 6
 
0.4%
731-2233 5
 
0.3%
043-732 5
 
0.3%
043-731 5
 
0.3%
8096 4
 
0.2%
Other values (656) 675
39.6%
2023-12-13T08:45:53.725950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1832
19.4%
- 1350
14.3%
1333
14.1%
0 975
10.3%
7 924
9.8%
4 892
9.5%
1 522
 
5.5%
2 461
 
4.9%
8 313
 
3.3%
9 288
 
3.1%
Other values (2) 546
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6753
71.6%
Dash Punctuation 1350
 
14.3%
Space Separator 1333
 
14.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1832
27.1%
0 975
14.4%
7 924
13.7%
4 892
13.2%
1 522
 
7.7%
2 461
 
6.8%
8 313
 
4.6%
9 288
 
4.3%
5 277
 
4.1%
6 269
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 1350
100.0%
Space Separator
ValueCountFrequency (%)
1333
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9436
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1832
19.4%
- 1350
14.3%
1333
14.1%
0 975
10.3%
7 924
9.8%
4 892
9.5%
1 522
 
5.5%
2 461
 
4.9%
8 313
 
3.3%
9 288
 
3.1%
Other values (2) 546
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9436
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1832
19.4%
- 1350
14.3%
1333
14.1%
0 975
10.3%
7 924
9.8%
4 892
9.5%
1 522
 
5.5%
2 461
 
4.9%
8 313
 
3.3%
9 288
 
3.1%
Other values (2) 546
 
5.8%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
Minimum2022-09-20 00:00:00
Maximum2022-09-20 00:00:00
2023-12-13T08:45:53.831348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:45:53.903112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T08:45:49.528397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:45:53.958677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명군분
연번1.0000.9920.703
업종명0.9921.0000.991
군분0.7030.9911.000
2023-12-13T08:45:54.023996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
군분업종명
군분1.0000.974
업종명0.9741.000
2023-12-13T08:45:54.088411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명군분
연번1.0000.9180.331
업종명0.9181.0000.974
군분0.3310.9741.000

Missing values

2023-12-13T08:45:49.656487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:45:49.766387image/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.
2023-12-13T08:45:49.847238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번업종명군분업소명소재지(도로명)소재지(지번)소재지전화데이터기준일
01일반음식점한식중앙집충청북도 옥천군 군서면 동평4길 4충청북도 옥천군 군서면 동평리 428-9043- 732-40092022-09-20
12일반음식점한식선광집충청북도 옥천군 청산면 지전2길 14충청북도 옥천군 청산면 지전리 162-8043 -732 -84042022-09-20
23일반음식점한식별미올갱이충청북도 옥천군 옥천읍 삼금로2길 3-1충청북도 옥천군 옥천읍 금구리 191-41043- 731-44232022-09-20
34일반음식점한식류 집<NA>충청북도 옥천군 청성면 산계리 203-2<NA>2022-09-20
45일반음식점식육(숯불구이)한양식당충청북도 옥천군 군서면 동평1길 7-3충청북도 옥천군 군서면 동평리 491-4043 -732 -40052022-09-20
56일반음식점한식금강집충청북도 옥천군 청산면 지전1길 23충청북도 옥천군 청산면 지전리 75-2043 -732 -80832022-09-20
67일반음식점한식모모충청북도 옥천군 옥천읍 중앙로 21충청북도 옥천군 옥천읍 금구리 148-2<NA>2022-09-20
78일반음식점한식상촌식당충청북도 옥천군 옥천읍 삼금로 8충청북도 옥천군 옥천읍 금구리 142-8043 -731 -46292022-09-20
89일반음식점한식띵호아 황서방충청북도 옥천군 옥천읍 삼금로 41충청북도 옥천군 옥천읍 금구리 5-70043 - 731-55002022-09-20
910일반음식점중국식문정식당충청북도 옥천군 옥천읍 향수3길 20충청북도 옥천군 옥천읍 하계리 56-1043 -731 -44072022-09-20
연번업종명군분업소명소재지(도로명)소재지(지번)소재지전화데이터기준일
926927휴게음식점푸드트럭골목대장충청북도 옥천군 옥천읍 관성로 53, 옥천군생활체육관충청북도 옥천군 옥천읍 문정리 390 옥천군생활체육관<NA>2022-09-20
927928휴게음식점편의점씨유옥천역전점충청북도 옥천군 옥천읍 중앙로 4충청북도 옥천군 옥천읍 금구리 135-2<NA>2022-09-20
928929휴게음식점패스트푸드와플대학충청북도 옥천군 옥천읍 중앙로 51-1, 좌측호충청북도 옥천군 옥천읍 금구리 6-13<NA>2022-09-20
929930휴게음식점전통찻집꽃차덖는집충청북도 옥천군 옥천읍 향수길 57, 꽃차덖는집 1층충청북도 옥천군 옥천읍 상계리 80-1<NA>2022-09-20
930931휴게음식점기타 휴게음식점비움과한끼식사 카페 옥천점충청북도 옥천군 군북면 감로길 18충청북도 옥천군 군북면 증약리 255-1043 -731 -31752022-09-20
931932휴게음식점커피숍우슬초충청북도 옥천군 동이면 선사로 50충청북도 옥천군 동이면 남곡리 360-1<NA>2022-09-20
932933휴게음식점기타 휴게음식점향 스토리충청북도 옥천군 군서면 성왕로 240충청북도 옥천군 군서면 상지리 9-5<NA>2022-09-20
933934휴게음식점커피숍업스테어충청북도 옥천군 옥천읍 관성로 50, 2층충청북도 옥천군 옥천읍 문정리 386-8<NA>2022-09-20
934935휴게음식점기타 휴게음식점대한민국 푸드트럭 협회충청북도 옥천군 옥천읍 금장로 109충청북도 옥천군 옥천읍 금구리 97-8<NA>2022-09-20
935936휴게음식점푸드트럭타임 푸드트럭대전광역시 유성구 와룡로 206 (봉산동)대전광역시 유성구 봉산동 776-10<NA>2022-09-20