Overview

Dataset statistics

Number of variables8
Number of observations162
Missing cells80
Missing cells (%)6.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.4 KiB
Average record size in memory65.8 B

Variable types

Numeric1
Text5
Categorical1
DateTime1

Dataset

Description충청북도 옥천군_담배소매인 지정현황(대표자명, 소매인구분, 업소명, 주소, 전화번호, 지정일자)등의 데이터를 제공합니다. 데이터 미집계등 공란이 있으므로, 사용에 유의해주시기 바랍니다.
Author충청북도 옥천군
URLhttps://www.data.go.kr/data/15035593/fileData.do

Alerts

연번 is highly overall correlated with 소매인구분High correlation
소매인구분 is highly overall correlated with 연번High correlation
업소전화번호 has 80 (49.4%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:56:48.537244
Analysis finished2023-12-12 00:56:49.262260
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct162
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.5
Minimum1
Maximum162
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T09:56:49.338413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.05
Q141.25
median81.5
Q3121.75
95-th percentile153.95
Maximum162
Range161
Interquartile range (IQR)80.5

Descriptive statistics

Standard deviation46.909487
Coefficient of variation (CV)0.57557653
Kurtosis-1.2
Mean81.5
Median Absolute Deviation (MAD)40.5
Skewness0
Sum13203
Variance2200.5
MonotonicityStrictly increasing
2023-12-12T09:56:49.475713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
123 1
 
0.6%
105 1
 
0.6%
106 1
 
0.6%
107 1
 
0.6%
108 1
 
0.6%
109 1
 
0.6%
110 1
 
0.6%
111 1
 
0.6%
112 1
 
0.6%
Other values (152) 152
93.8%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
162 1
0.6%
161 1
0.6%
160 1
0.6%
159 1
0.6%
158 1
0.6%
157 1
0.6%
156 1
0.6%
155 1
0.6%
154 1
0.6%
153 1
0.6%

대표자명
Text

Distinct132
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T09:56:49.825241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length3
Mean length3.2901235
Min length2

Characters and Unicode

Total characters533
Distinct characters114
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique111 ?
Unique (%)68.5%

Sample

1st row최ㅇ순
2nd row성ㅇ구
3rd row유ㅇ희
4th row윤ㅇ원
5th row신ㅇ향
ValueCountFrequency (%)
김ㅇ순 6
 
3.7%
김ㅇ희 4
 
2.4%
김ㅇ현 4
 
2.4%
최ㅇ자 3
 
1.8%
박ㅇ순 2
 
1.2%
최ㅇ순 2
 
1.2%
임ㅇ영 2
 
1.2%
윤ㅇ영 2
 
1.2%
정ㅇ숙 2
 
1.2%
김ㅇ연 2
 
1.2%
Other values (124) 135
82.3%
2023-12-12T09:56:50.327612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
ㅇ 153
28.7%
김 33
 
6.2%
순 18
 
3.4%
이 15
 
2.8%
박 14
 
2.6%
자 11
 
2.1%
희 11
 
2.1%
최 10
 
1.9%
영 10
 
1.9%
정 10
 
1.9%
Other values (104) 248
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 529
99.2%
Space Separator 2
 
0.4%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ㅇ 153
28.9%
김 33
 
6.2%
순 18
 
3.4%
이 15
 
2.8%
박 14
 
2.6%
자 11
 
2.1%
희 11
 
2.1%
최 10
 
1.9%
영 10
 
1.9%
정 10
 
1.9%
Other values (101) 244
46.1%
Space Separator
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 529
99.2%
Common 4
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
ㅇ 153
28.9%
김 33
 
6.2%
순 18
 
3.4%
이 15
 
2.8%
박 14
 
2.6%
자 11
 
2.1%
희 11
 
2.1%
최 10
 
1.9%
영 10
 
1.9%
정 10
 
1.9%
Other values (101) 244
46.1%
Common
ValueCountFrequency (%)
2
50.0%
( 1
25.0%
) 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 376
70.5%
Compat Jamo 153
28.7%
ASCII 4
 
0.8%

Most frequent character per block

Compat Jamo
ValueCountFrequency (%)
ㅇ 153
100.0%
Hangul
ValueCountFrequency (%)
김 33
 
8.8%
순 18
 
4.8%
이 15
 
4.0%
박 14
 
3.7%
자 11
 
2.9%
희 11
 
2.9%
최 10
 
2.7%
영 10
 
2.7%
정 10
 
2.7%
강 9
 
2.4%
Other values (100) 235
62.5%
ASCII
ValueCountFrequency (%)
2
50.0%
( 1
25.0%
) 1
25.0%

소매인구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
90 
일반소매인
57 
구분없음
10 
구내소매인
 
5

Length

Max length5
Median length1
Mean length2.7160494
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
90
55.6%
일반소매인 57
35.2%
구분없음 10
 
6.2%
구내소매인 5
 
3.1%

Length

2023-12-12T09:56:50.487245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:56:50.676146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반소매인 57
79.2%
구분없음 10
 
13.9%
구내소매인 5
 
6.9%

업소명
Text

Distinct161
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T09:56:50.974869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length19
Mean length6.8518519
Min length1

Characters and Unicode

Total characters1110
Distinct characters232
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique160 ?
Unique (%)98.8%

Sample

1st row우슬초
2nd row칠남매조명
3rd row씨유 옥천역전점
4th row카페 가베
5th row열린휴게소
ValueCountFrequency (%)
씨유 11
 
5.2%
주식회사 5
 
2.4%
세븐일레븐 5
 
2.4%
지에스25 4
 
1.9%
옥천이원점 3
 
1.4%
서울슈퍼 2
 
0.9%
옥천삼양점 2
 
0.9%
주)코리아세븐 2
 
0.9%
gs25 2
 
0.9%
청산농협 2
 
0.9%
Other values (174) 174
82.1%
2023-12-12T09:56:51.442888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
52
 
4.7%
점 47
 
4.2%
천 43
 
3.9%
옥 43
 
3.9%
마 35
 
3.2%
트 29
 
2.6%
퍼 23
 
2.1%
회 23
 
2.1%
이 22
 
2.0%
슈 21
 
1.9%
Other values (222) 772
69.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 980
88.3%
Space Separator 52
 
4.7%
Decimal Number 27
 
2.4%
Open Punctuation 17
 
1.5%
Close Punctuation 17
 
1.5%
Uppercase Letter 15
 
1.4%
Dash Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 47
 
4.8%
천 43
 
4.4%
옥 43
 
4.4%
마 35
 
3.6%
트 29
 
3.0%
퍼 23
 
2.3%
회 23
 
2.3%
이 22
 
2.2%
슈 21
 
2.1%
유 21
 
2.1%
Other values (208) 673
68.7%
Uppercase Letter
ValueCountFrequency (%)
G 6
40.0%
S 6
40.0%
U 1
 
6.7%
C 1
 
6.7%
J 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
2 12
44.4%
5 10
37.0%
1 3
 
11.1%
4 2
 
7.4%
Space Separator
ValueCountFrequency (%)
52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 980
88.3%
Common 115
 
10.4%
Latin 15
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 47
 
4.8%
천 43
 
4.4%
옥 43
 
4.4%
마 35
 
3.6%
트 29
 
3.0%
퍼 23
 
2.3%
회 23
 
2.3%
이 22
 
2.2%
슈 21
 
2.1%
유 21
 
2.1%
Other values (208) 673
68.7%
Common
ValueCountFrequency (%)
52
45.2%
( 17
 
14.8%
) 17
 
14.8%
2 12
 
10.4%
5 10
 
8.7%
1 3
 
2.6%
4 2
 
1.7%
- 1
 
0.9%
. 1
 
0.9%
Latin
ValueCountFrequency (%)
G 6
40.0%
S 6
40.0%
U 1
 
6.7%
C 1
 
6.7%
J 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 980
88.3%
ASCII 130
 
11.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
52
40.0%
( 17
 
13.1%
) 17
 
13.1%
2 12
 
9.2%
5 10
 
7.7%
G 6
 
4.6%
S 6
 
4.6%
1 3
 
2.3%
4 2
 
1.5%
- 1
 
0.8%
Other values (4) 4
 
3.1%
Hangul
ValueCountFrequency (%)
점 47
 
4.8%
천 43
 
4.4%
옥 43
 
4.4%
마 35
 
3.6%
트 29
 
3.0%
퍼 23
 
2.3%
회 23
 
2.3%
이 22
 
2.2%
슈 21
 
2.1%
유 21
 
2.1%
Other values (208) 673
68.7%

업소지번주소
Text

Distinct156
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T09:56:51.772010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length30
Mean length23.438272
Min length1

Characters and Unicode

Total characters3797
Distinct characters122
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique155 ?
Unique (%)95.7%

Sample

1st row충청북도 옥천군 동이면 남곡리 360-1
2nd row충청북도 옥천군 옥천읍 마암리 49
3rd row충청북도 옥천군 옥천읍 금구리 135-2
4th row충청북도 옥천군 옥천읍 금구리 37-12
5th row충청북도 옥천군 군북면 소정리 10
ValueCountFrequency (%)
충청북도 155
 
17.2%
옥천군 155
 
17.2%
옥천읍 86
 
9.6%
금구리 23
 
2.6%
1호 16
 
1.8%
호 15
 
1.7%
이원면 14
 
1.6%
동이면 13
 
1.4%
삼양리 13
 
1.4%
군북면 10
 
1.1%
Other values (260) 399
44.4%
2023-12-12T09:56:52.284281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
775
20.4%
옥 244
 
6.4%
천 244
 
6.4%
군 174
 
4.6%
청 171
 
4.5%
북 166
 
4.4%
도 155
 
4.1%
충 155
 
4.1%
리 154
 
4.1%
1 119
 
3.1%
Other values (112) 1440
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2377
62.6%
Space Separator 775
 
20.4%
Decimal Number 593
 
15.6%
Dash Punctuation 51
 
1.3%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
옥 244
 
10.3%
천 244
 
10.3%
군 174
 
7.3%
청 171
 
7.2%
북 166
 
7.0%
도 155
 
6.5%
충 155
 
6.5%
리 154
 
6.5%
지 96
 
4.0%
호 88
 
3.7%
Other values (99) 730
30.7%
Decimal Number
ValueCountFrequency (%)
1 119
20.1%
2 88
14.8%
3 82
13.8%
4 67
11.3%
5 56
9.4%
6 46
 
7.8%
7 37
 
6.2%
0 35
 
5.9%
9 32
 
5.4%
8 31
 
5.2%
Space Separator
ValueCountFrequency (%)
775
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%
Uppercase Letter
ValueCountFrequency (%)
J 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2377
62.6%
Common 1419
37.4%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
옥 244
 
10.3%
천 244
 
10.3%
군 174
 
7.3%
청 171
 
7.2%
북 166
 
7.0%
도 155
 
6.5%
충 155
 
6.5%
리 154
 
6.5%
지 96
 
4.0%
호 88
 
3.7%
Other values (99) 730
30.7%
Common
ValueCountFrequency (%)
775
54.6%
1 119
 
8.4%
2 88
 
6.2%
3 82
 
5.8%
4 67
 
4.7%
5 56
 
3.9%
- 51
 
3.6%
6 46
 
3.2%
7 37
 
2.6%
0 35
 
2.5%
Other values (2) 63
 
4.4%
Latin
ValueCountFrequency (%)
J 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2377
62.6%
ASCII 1420
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
775
54.6%
1 119
 
8.4%
2 88
 
6.2%
3 82
 
5.8%
4 67
 
4.7%
5 56
 
3.9%
- 51
 
3.6%
6 46
 
3.2%
7 37
 
2.6%
0 35
 
2.5%
Other values (3) 64
 
4.5%
Hangul
ValueCountFrequency (%)
옥 244
 
10.3%
천 244
 
10.3%
군 174
 
7.3%
청 171
 
7.2%
북 166
 
7.0%
도 155
 
6.5%
충 155
 
6.5%
리 154
 
6.5%
지 96
 
4.0%
호 88
 
3.7%
Other values (99) 730
30.7%

업소도로명주소
Text

Distinct148
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T09:56:52.595213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length35
Mean length20.203704
Min length1

Characters and Unicode

Total characters3273
Distinct characters131
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique147 ?
Unique (%)90.7%

Sample

1st row충청북도 옥천군 동이면 선사로 50
2nd row충청북도 옥천군 옥천읍 마장로 14
3rd row충청북도 옥천군 옥천읍 중앙로 4
4th row충청북도 옥천군 옥천읍 관성로 30
5th row충청북도 옥천군 군북면 성왕로 2047
ValueCountFrequency (%)
충청북도 147
18.7%
옥천군 147
18.7%
옥천읍 82
 
10.4%
이원면 13
 
1.7%
옥천로 12
 
1.5%
동이면 11
 
1.4%
군북면 11
 
1.4%
군서면 9
 
1.1%
중앙로 8
 
1.0%
삼양로 6
 
0.8%
Other values (226) 340
43.3%
2023-12-12T09:56:53.056406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
654
20.0%
천 251
 
7.7%
옥 249
 
7.6%
군 167
 
5.1%
청 160
 
4.9%
북 158
 
4.8%
충 147
 
4.5%
도 147
 
4.5%
1 132
 
4.0%
로 86
 
2.6%
Other values (121) 1122
34.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2072
63.3%
Space Separator 654
 
20.0%
Decimal Number 459
 
14.0%
Dash Punctuation 32
 
1.0%
Other Punctuation 30
 
0.9%
Open Punctuation 12
 
0.4%
Close Punctuation 12
 
0.4%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 251
12.1%
옥 249
12.0%
군 167
 
8.1%
청 160
 
7.7%
북 158
 
7.6%
충 147
 
7.1%
도 147
 
7.1%
로 86
 
4.2%
읍 82
 
4.0%
길 68
 
3.3%
Other values (104) 557
26.9%
Decimal Number
ValueCountFrequency (%)
1 132
28.8%
2 62
13.5%
4 51
 
11.1%
3 42
 
9.2%
0 37
 
8.1%
6 35
 
7.6%
5 33
 
7.2%
9 26
 
5.7%
7 25
 
5.4%
8 16
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
J 1
50.0%
Space Separator
ValueCountFrequency (%)
654
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Other Punctuation
ValueCountFrequency (%)
. 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2072
63.3%
Common 1199
36.6%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 251
12.1%
옥 249
12.0%
군 167
 
8.1%
청 160
 
7.7%
북 158
 
7.6%
충 147
 
7.1%
도 147
 
7.1%
로 86
 
4.2%
읍 82
 
4.0%
길 68
 
3.3%
Other values (104) 557
26.9%
Common
ValueCountFrequency (%)
654
54.5%
1 132
 
11.0%
2 62
 
5.2%
4 51
 
4.3%
3 42
 
3.5%
0 37
 
3.1%
6 35
 
2.9%
5 33
 
2.8%
- 32
 
2.7%
. 30
 
2.5%
Other values (5) 91
 
7.6%
Latin
ValueCountFrequency (%)
A 1
50.0%
J 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2072
63.3%
ASCII 1201
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
654
54.5%
1 132
 
11.0%
2 62
 
5.2%
4 51
 
4.2%
3 42
 
3.5%
0 37
 
3.1%
6 35
 
2.9%
5 33
 
2.7%
- 32
 
2.7%
. 30
 
2.5%
Other values (7) 93
 
7.7%
Hangul
ValueCountFrequency (%)
천 251
12.1%
옥 249
12.0%
군 167
 
8.1%
청 160
 
7.7%
북 158
 
7.6%
충 147
 
7.1%
도 147
 
7.1%
로 86
 
4.2%
읍 82
 
4.0%
길 68
 
3.3%
Other values (104) 557
26.9%

업소전화번호
Text

MISSING 

Distinct82
Distinct (%)100.0%
Missing80
Missing (%)49.4%
Memory size1.4 KiB
2023-12-12T09:56:53.299638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters984
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

Unique82 ?
Unique (%)100.0%

Sample

1st row043-732-1884
2nd row043-731-2233
3rd row043-733-4841
4th row043-732-1790
5th row043-731-0909
ValueCountFrequency (%)
043-732-3560 1
 
1.2%
043-733-2454 1
 
1.2%
043-732-8246 1
 
1.2%
043-733-3211 1
 
1.2%
043-836-2948 1
 
1.2%
043-732-6040 1
 
1.2%
043-732-4729 1
 
1.2%
043-732-2526 1
 
1.2%
043-732-6650 1
 
1.2%
043-731-5175 1
 
1.2%
Other values (72) 72
87.8%
2023-12-12T09:56:53.725985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 223
22.7%
- 164
16.7%
0 127
12.9%
4 117
11.9%
7 108
11.0%
2 60
 
6.1%
1 55
 
5.6%
6 38
 
3.9%
5 36
 
3.7%
8 33
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 820
83.3%
Dash Punctuation 164
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 223
27.2%
0 127
15.5%
4 117
14.3%
7 108
13.2%
2 60
 
7.3%
1 55
 
6.7%
6 38
 
4.6%
5 36
 
4.4%
8 33
 
4.0%
9 23
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 164
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 984
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 223
22.7%
- 164
16.7%
0 127
12.9%
4 117
11.9%
7 108
11.0%
2 60
 
6.1%
1 55
 
5.6%
6 38
 
3.9%
5 36
 
3.7%
8 33
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 984
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 223
22.7%
- 164
16.7%
0 127
12.9%
4 117
11.9%
7 108
11.0%
2 60
 
6.1%
1 55
 
5.6%
6 38
 
3.9%
5 36
 
3.7%
8 33
 
3.4%

지정일자
Date

Distinct157
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum1980-12-22 00:00:00
Maximum2022-09-14 00:00:00
2023-12-12T09:56:53.924309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:56:54.203818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T09:56:48.921529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:56:54.323328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소매인구분업소전화번호
연번1.0000.7671.000
소매인구분0.7671.0001.000
업소전화번호1.0001.0001.000
2023-12-12T09:56:54.421208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소매인구분
연번1.0000.569
소매인구분0.5691.000

Missing values

2023-12-12T09:56:49.068089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:56:49.204439image/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

연번대표자명소매인구분업소명업소지번주소업소도로명주소업소전화번호지정일자
01최ㅇ순우슬초충청북도 옥천군 동이면 남곡리 360-1충청북도 옥천군 동이면 선사로 50<NA>2022-09-14
12성ㅇ구칠남매조명충청북도 옥천군 옥천읍 마암리 49충청북도 옥천군 옥천읍 마장로 14<NA>2022-09-08
23유ㅇ희씨유 옥천역전점충청북도 옥천군 옥천읍 금구리 135-2충청북도 옥천군 옥천읍 중앙로 4<NA>2022-08-09
34윤ㅇ원카페 가베충청북도 옥천군 옥천읍 금구리 37-12충청북도 옥천군 옥천읍 관성로 30<NA>2022-07-05
45신ㅇ향열린휴게소충청북도 옥천군 군북면 소정리 10충청북도 옥천군 군북면 성왕로 2047<NA>2022-06-23
56주ㅇ영씨유옥천청산점충청북도 옥천군 청산면 지전리 85-6충청북도 옥천군 청산면 지전1길 3. 2층<NA>2022-06-21
67최ㅇ영바람결충청북도 옥천군 군북면 소정리 43-5충청북도 옥천군 군북면 성왕로 1884043-732-18842022-06-15
78이ㅇ열하얀꽃집충청북도 옥천군 옥천읍 문정리 386-8충청북도 옥천군 옥천읍 관성로 50<NA>2022-05-25
89한ㅇ이까페꼬레 장계충청북도 옥천군 안내면 장계리 78-23충청북도 옥천군 안내면 장계1길 3<NA>2022-05-23
910유ㅇ림장보는 강아지와 고양이(옥천점)충청북도 옥천군 군북면 이백리 270-5충청북도 옥천군 군북면 옥천로 1160. 1층<NA>2022-04-28
연번대표자명소매인구분업소명업소지번주소업소도로명주소업소전화번호지정일자
152153김ㅇ자구내소매인안남공판장충청북도 옥천군 안남면 연주리 403-1호043-733-44891996-07-20
153154양ㅇ순일반소매인동창철물충청북도 옥천군 안남면 연주리 70번지 4호 1통충청북도 옥천군 안남면 연주길 27-2 (상점)<NA>1992-06-26
154155방ㅇ희일반소매인부화상회충청북도 옥천군 옥천읍 금구리 147-2 상점충청북도 옥천군 옥천읍 중앙로 21-1043-731-28131998-12-09
155156김ㅇ순일반소매인새마을가게충청북도 옥천군 옥천읍 옥각리 357-6호<NA>1998-11-13
156157강ㅇ신일반소매인문정주공마트충청북도 옥천군 옥천읍 문정리 375충청북도 옥천군 옥천읍 문장로 31. 상가 102동043-731-78561998-06-18
157158옥천농협장일반소매인농협연쇄점충청북도 옥천군 옥천읍 금구리 164-12호043-730-60001997-11-03
158159신ㅇ태일반소매인계단상회충청북도 옥천군 옥천읍 금구리 164번지 13호 36통 6반043-731-25191993-02-20
159160조ㅇ순일반소매인비원슈퍼충청북도 옥천군 옥천읍 금구리 235-55 비원주택충청북도 옥천군 옥천읍 가화3길 3 (비원주택)043-732-04551992-12-24
160161김ㅇ종일반소매인서울슈퍼충청북도 옥천군 옥천읍 금구리 162번지 28호충청북도 옥천군 옥천읍 중앙로 31043-731-24051993-01-12
161162김ㅇ순일반소매인청성슈퍼충청북도 옥천군 청성면 산계리 256번지 4 호충청북도 옥천군 청성면 산계길 27043-732-97652000-07-31