Overview

Dataset statistics

Number of variables6
Number of observations899
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory43.1 KiB
Average record size in memory49.1 B

Variable types

Numeric1
Categorical1
Text4

Dataset

Description2023년도에 청주시 흥덕구에 위치한 담배소매인 지정 현황(업소명, 업소도로명주소, 업소구주소, 지정일자, 민원구분)에 대해 기재한 자료입니다.
Author충청북도 청주시
URLhttps://www.data.go.kr/data/15048888/fileData.do

Alerts

민원구분 is highly imbalanced (53.4%)Imbalance
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:08:00.541767
Analysis finished2023-12-12 13:08:01.759126
Duration1.22 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct899
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean450
Minimum1
Maximum899
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.0 KiB
2023-12-12T22:08:01.838700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile45.9
Q1225.5
median450
Q3674.5
95-th percentile854.1
Maximum899
Range898
Interquartile range (IQR)449

Descriptive statistics

Standard deviation259.66324
Coefficient of variation (CV)0.57702943
Kurtosis-1.2
Mean450
Median Absolute Deviation (MAD)225
Skewness0
Sum404550
Variance67425
MonotonicityStrictly increasing
2023-12-12T22:08:01.995544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
564 1
 
0.1%
594 1
 
0.1%
595 1
 
0.1%
596 1
 
0.1%
597 1
 
0.1%
598 1
 
0.1%
599 1
 
0.1%
600 1
 
0.1%
601 1
 
0.1%
Other values (889) 889
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 (%)
899 1
0.1%
898 1
0.1%
897 1
0.1%
896 1
0.1%
895 1
0.1%
894 1
0.1%
893 1
0.1%
892 1
0.1%
891 1
0.1%
890 1
0.1%

민원구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
일반소매인
810 
구내소매인
89 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반소매인 810
90.1%
구내소매인 89
 
9.9%

Length

2023-12-12T22:08:02.159233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:08:02.297713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반소매인 810
90.1%
구내소매인 89
 
9.9%

업소명
Text

Distinct863
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
2023-12-12T22:08:02.598688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length18
Mean length8.5027809
Min length1

Characters and Unicode

Total characters7644
Distinct characters446
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique837 ?
Unique (%)93.1%

Sample

1st row뉴욕핫도그앤커피 청주MBC점
2nd row(주)코리아세븐 청주우양센트럴점
3rd row씨유 청주가경스마일점
4th row늘푸른마트
5th row세븐일레븐 청주가경푸르지오점
ValueCountFrequency (%)
씨유 82
 
6.2%
세븐일레븐 69
 
5.2%
지에스25 45
 
3.4%
gs25 35
 
2.6%
이마트24 28
 
2.1%
주)코리아세븐 18
 
1.4%
주식회사 11
 
0.8%
주)행복누리 9
 
0.7%
전자담배 8
 
0.6%
청주 8
 
0.6%
Other values (911) 1015
76.4%
2023-12-12T22:08:03.013601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 445
 
5.8%
433
 
5.7%
주 368
 
4.8%
청 289
 
3.8%
마 198
 
2.6%
트 193
 
2.5%
븐 171
 
2.2%
2 165
 
2.2%
유 144
 
1.9%
스 143
 
1.9%
Other values (436) 5095
66.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6409
83.8%
Space Separator 433
 
5.7%
Decimal Number 359
 
4.7%
Uppercase Letter 221
 
2.9%
Open Punctuation 102
 
1.3%
Close Punctuation 102
 
1.3%
Other Punctuation 11
 
0.1%
Dash Punctuation 3
 
< 0.1%
Lowercase Letter 3
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 445
 
6.9%
주 368
 
5.7%
청 289
 
4.5%
마 198
 
3.1%
트 193
 
3.0%
븐 171
 
2.7%
유 144
 
2.2%
스 143
 
2.2%
대 128
 
2.0%
씨 116
 
1.8%
Other values (394) 4214
65.8%
Uppercase Letter
ValueCountFrequency (%)
S 71
32.1%
G 68
30.8%
C 20
 
9.0%
U 11
 
5.0%
K 6
 
2.7%
I 5
 
2.3%
M 4
 
1.8%
A 4
 
1.8%
B 4
 
1.8%
E 4
 
1.8%
Other values (12) 24
 
10.9%
Decimal Number
ValueCountFrequency (%)
2 165
46.0%
5 118
32.9%
4 47
 
13.1%
0 11
 
3.1%
1 8
 
2.2%
3 5
 
1.4%
8 3
 
0.8%
6 1
 
0.3%
7 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
& 5
45.5%
. 4
36.4%
# 1
 
9.1%
/ 1
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
o 2
66.7%
d 1
33.3%
Space Separator
ValueCountFrequency (%)
433
100.0%
Open Punctuation
ValueCountFrequency (%)
( 102
100.0%
Close Punctuation
ValueCountFrequency (%)
) 102
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6410
83.9%
Common 1010
 
13.2%
Latin 224
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 445
 
6.9%
주 368
 
5.7%
청 289
 
4.5%
마 198
 
3.1%
트 193
 
3.0%
븐 171
 
2.7%
유 144
 
2.2%
스 143
 
2.2%
대 128
 
2.0%
씨 116
 
1.8%
Other values (395) 4215
65.8%
Latin
ValueCountFrequency (%)
S 71
31.7%
G 68
30.4%
C 20
 
8.9%
U 11
 
4.9%
K 6
 
2.7%
I 5
 
2.2%
M 4
 
1.8%
A 4
 
1.8%
B 4
 
1.8%
E 4
 
1.8%
Other values (14) 27
 
12.1%
Common
ValueCountFrequency (%)
433
42.9%
2 165
 
16.3%
5 118
 
11.7%
( 102
 
10.1%
) 102
 
10.1%
4 47
 
4.7%
0 11
 
1.1%
1 8
 
0.8%
& 5
 
0.5%
3 5
 
0.5%
Other values (7) 14
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6409
83.8%
ASCII 1234
 
16.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 445
 
6.9%
주 368
 
5.7%
청 289
 
4.5%
마 198
 
3.1%
트 193
 
3.0%
븐 171
 
2.7%
유 144
 
2.2%
스 143
 
2.2%
대 128
 
2.0%
씨 116
 
1.8%
Other values (394) 4214
65.8%
ASCII
ValueCountFrequency (%)
433
35.1%
2 165
 
13.4%
5 118
 
9.6%
( 102
 
8.3%
) 102
 
8.3%
S 71
 
5.8%
G 68
 
5.5%
4 47
 
3.8%
C 20
 
1.6%
0 11
 
0.9%
Other values (31) 97
 
7.9%
None
ValueCountFrequency (%)
㈜ 1
100.0%

업소지번주소
Text

Distinct774
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
2023-12-12T22:08:03.262202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length44
Mean length23.216908
Min length1

Characters and Unicode

Total characters20872
Distinct characters277
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

Unique757 ?
Unique (%)84.2%

Sample

1st row
2nd row
3rd row
4th row
5th row
ValueCountFrequency (%)
충청북도 796
17.4%
청주시 796
17.4%
흥덕구 796
17.4%
복대동 169
 
3.7%
봉명동 133
 
2.9%
오송읍 98
 
2.1%
가경동 94
 
2.1%
옥산면 63
 
1.4%
강내면 49
 
1.1%
비하동 41
 
0.9%
Other values (994) 1527
33.5%
2023-12-12T22:08:03.676732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4067
19.5%
청 1630
 
7.8%
주 831
 
4.0%
시 814
 
3.9%
북 808
 
3.9%
도 805
 
3.9%
덕 801
 
3.8%
구 800
 
3.8%
충 798
 
3.8%
흥 797
 
3.8%
Other values (267) 8721
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13291
63.7%
Space Separator 4067
 
19.5%
Decimal Number 3210
 
15.4%
Dash Punctuation 247
 
1.2%
Uppercase Letter 35
 
0.2%
Other Punctuation 7
 
< 0.1%
Close Punctuation 7
 
< 0.1%
Open Punctuation 7
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 1630
 
12.3%
주 831
 
6.3%
시 814
 
6.1%
북 808
 
6.1%
도 805
 
6.1%
덕 801
 
6.0%
구 800
 
6.0%
충 798
 
6.0%
흥 797
 
6.0%
동 607
 
4.6%
Other values (236) 4600
34.6%
Uppercase Letter
ValueCountFrequency (%)
S 12
34.3%
K 6
17.1%
L 4
 
11.4%
C 2
 
5.7%
T 1
 
2.9%
M 1
 
2.9%
P 1
 
2.9%
H 1
 
2.9%
E 1
 
2.9%
U 1
 
2.9%
Other values (5) 5
14.3%
Decimal Number
ValueCountFrequency (%)
1 706
22.0%
2 427
13.3%
4 288
9.0%
3 277
 
8.6%
5 275
 
8.6%
7 266
 
8.3%
6 258
 
8.0%
8 255
 
7.9%
9 230
 
7.2%
0 228
 
7.1%
Space Separator
ValueCountFrequency (%)
4067
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 247
100.0%
Other Punctuation
ValueCountFrequency (%)
. 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13291
63.7%
Common 7546
36.2%
Latin 35
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 1630
 
12.3%
주 831
 
6.3%
시 814
 
6.1%
북 808
 
6.1%
도 805
 
6.1%
덕 801
 
6.0%
구 800
 
6.0%
충 798
 
6.0%
흥 797
 
6.0%
동 607
 
4.6%
Other values (236) 4600
34.6%
Common
ValueCountFrequency (%)
4067
53.9%
1 706
 
9.4%
2 427
 
5.7%
4 288
 
3.8%
3 277
 
3.7%
5 275
 
3.6%
7 266
 
3.5%
6 258
 
3.4%
8 255
 
3.4%
- 247
 
3.3%
Other values (6) 480
 
6.4%
Latin
ValueCountFrequency (%)
S 12
34.3%
K 6
17.1%
L 4
 
11.4%
C 2
 
5.7%
T 1
 
2.9%
M 1
 
2.9%
P 1
 
2.9%
H 1
 
2.9%
E 1
 
2.9%
U 1
 
2.9%
Other values (5) 5
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13291
63.7%
ASCII 7581
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4067
53.6%
1 706
 
9.3%
2 427
 
5.6%
4 288
 
3.8%
3 277
 
3.7%
5 275
 
3.6%
7 266
 
3.5%
6 258
 
3.4%
8 255
 
3.4%
- 247
 
3.3%
Other values (21) 515
 
6.8%
Hangul
ValueCountFrequency (%)
청 1630
 
12.3%
주 831
 
6.3%
시 814
 
6.1%
북 808
 
6.1%
도 805
 
6.1%
덕 801
 
6.0%
구 800
 
6.0%
충 798
 
6.0%
흥 797
 
6.0%
동 607
 
4.6%
Other values (236) 4600
34.6%

업소도로명주소
Text

Distinct895
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
2023-12-12T22:08:04.026860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length54
Mean length33.282536
Min length22

Characters and Unicode

Total characters29921
Distinct characters309
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique892 ?
Unique (%)99.2%

Sample

1st row충청북도 청주시 흥덕구 2순환로 1322 (가경동. MBC충북)
2nd row충청북도 청주시 흥덕구 가로수로1164번길 41-44. 101호 (강서동. 우양센트럴상가)
3rd row충청북도 청주시 흥덕구 가경로 177. 1층 (가경동)
4th row충청북도 청주시 흥덕구 내수동로34번길 21 (복대동)
5th row충청북도 청주시 흥덕구 2순환로1375번길 24. 상가동 101~102호 (가경동. 대우푸르지오아파트)
ValueCountFrequency (%)
충청북도 899
 
14.5%
흥덕구 899
 
14.5%
청주시 899
 
14.5%
1층 231
 
3.7%
복대동 190
 
3.1%
봉명동 146
 
2.4%
가경동 111
 
1.8%
오송읍 104
 
1.7%
옥산면 67
 
1.1%
강내면 54
 
0.9%
Other values (1185) 2609
42.0%
2023-12-12T22:08:04.489133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5470
 
18.3%
청 1845
 
6.2%
1 1442
 
4.8%
주 943
 
3.2%
덕 931
 
3.1%
시 923
 
3.1%
북 921
 
3.1%
구 910
 
3.0%
도 909
 
3.0%
흥 907
 
3.0%
Other values (299) 14720
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17641
59.0%
Space Separator 5470
 
18.3%
Decimal Number 4593
 
15.4%
Open Punctuation 695
 
2.3%
Close Punctuation 695
 
2.3%
Other Punctuation 560
 
1.9%
Dash Punctuation 189
 
0.6%
Uppercase Letter 63
 
0.2%
Math Symbol 14
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 1845
 
10.5%
주 943
 
5.3%
덕 931
 
5.3%
시 923
 
5.2%
북 921
 
5.2%
구 910
 
5.2%
도 909
 
5.2%
흥 907
 
5.1%
충 906
 
5.1%
로 827
 
4.7%
Other values (262) 7619
43.2%
Uppercase Letter
ValueCountFrequency (%)
S 11
17.5%
B 10
15.9%
L 7
11.1%
K 6
9.5%
G 4
 
6.3%
C 4
 
6.3%
P 3
 
4.8%
T 3
 
4.8%
M 3
 
4.8%
A 3
 
4.8%
Other values (8) 9
14.3%
Decimal Number
ValueCountFrequency (%)
1 1442
31.4%
2 618
13.5%
0 470
 
10.2%
3 427
 
9.3%
5 355
 
7.7%
4 342
 
7.4%
6 292
 
6.4%
7 247
 
5.4%
8 202
 
4.4%
9 198
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 557
99.5%
& 2
 
0.4%
, 1
 
0.2%
Space Separator
ValueCountFrequency (%)
5470
100.0%
Open Punctuation
ValueCountFrequency (%)
( 695
100.0%
Close Punctuation
ValueCountFrequency (%)
) 695
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 189
100.0%
Math Symbol
ValueCountFrequency (%)
~ 14
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17641
59.0%
Common 12216
40.8%
Latin 64
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 1845
 
10.5%
주 943
 
5.3%
덕 931
 
5.3%
시 923
 
5.2%
북 921
 
5.2%
구 910
 
5.2%
도 909
 
5.2%
흥 907
 
5.1%
충 906
 
5.1%
로 827
 
4.7%
Other values (262) 7619
43.2%
Latin
ValueCountFrequency (%)
S 11
17.2%
B 10
15.6%
L 7
10.9%
K 6
9.4%
G 4
 
6.2%
C 4
 
6.2%
P 3
 
4.7%
T 3
 
4.7%
M 3
 
4.7%
A 3
 
4.7%
Other values (9) 10
15.6%
Common
ValueCountFrequency (%)
5470
44.8%
1 1442
 
11.8%
( 695
 
5.7%
) 695
 
5.7%
2 618
 
5.1%
. 557
 
4.6%
0 470
 
3.8%
3 427
 
3.5%
5 355
 
2.9%
4 342
 
2.8%
Other values (8) 1145
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17641
59.0%
ASCII 12280
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5470
44.5%
1 1442
 
11.7%
( 695
 
5.7%
) 695
 
5.7%
2 618
 
5.0%
. 557
 
4.5%
0 470
 
3.8%
3 427
 
3.5%
5 355
 
2.9%
4 342
 
2.8%
Other values (27) 1209
 
9.8%
Hangul
ValueCountFrequency (%)
청 1845
 
10.5%
주 943
 
5.3%
덕 931
 
5.3%
시 923
 
5.2%
북 921
 
5.2%
구 910
 
5.2%
도 909
 
5.2%
흥 907
 
5.1%
충 906
 
5.1%
로 827
 
4.7%
Other values (262) 7619
43.2%

지정일자
Text

Distinct734
Distinct (%)81.6%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
2023-12-12T22:08:04.722887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters8990
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

Unique609 ?
Unique (%)67.7%

Sample

1st row2017-09-29
2nd row2016-11-23
3rd row2016-11-08
4th row2016-11-01
5th row2016-11-01
ValueCountFrequency (%)
1998-01-01 19
 
2.1%
2021-02-26 4
 
0.4%
2010-10-22 4
 
0.4%
2021-10-01 4
 
0.4%
2018-10-16 3
 
0.3%
2022-05-10 3
 
0.3%
2011-05-13 3
 
0.3%
1998-12-23 3
 
0.3%
2018-07-06 3
 
0.3%
2023-05-18 3
 
0.3%
Other values (724) 850
94.5%
2023-12-12T22:08:05.076801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2162
24.0%
2 1812
20.2%
- 1798
20.0%
1 1387
15.4%
9 345
 
3.8%
3 332
 
3.7%
8 298
 
3.3%
7 232
 
2.6%
6 221
 
2.5%
4 207
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7192
80.0%
Dash Punctuation 1798
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2162
30.1%
2 1812
25.2%
1 1387
19.3%
9 345
 
4.8%
3 332
 
4.6%
8 298
 
4.1%
7 232
 
3.2%
6 221
 
3.1%
4 207
 
2.9%
5 196
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 1798
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8990
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2162
24.0%
2 1812
20.2%
- 1798
20.0%
1 1387
15.4%
9 345
 
3.8%
3 332
 
3.7%
8 298
 
3.3%
7 232
 
2.6%
6 221
 
2.5%
4 207
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8990
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2162
24.0%
2 1812
20.2%
- 1798
20.0%
1 1387
15.4%
9 345
 
3.8%
3 332
 
3.7%
8 298
 
3.3%
7 232
 
2.6%
6 221
 
2.5%
4 207
 
2.3%

Interactions

2023-12-12T22:08:01.147276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:08:05.174258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번민원구분
순번1.0000.165
민원구분0.1651.000
2023-12-12T22:08:05.255397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번민원구분
순번1.0000.126
민원구분0.1261.000

Missing values

2023-12-12T22:08:01.570454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:08:01.703805image/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

순번민원구분업소명업소지번주소업소도로명주소지정일자
01일반소매인뉴욕핫도그앤커피 청주MBC점충청북도 청주시 흥덕구 2순환로 1322 (가경동. MBC충북)2017-09-29
12일반소매인(주)코리아세븐 청주우양센트럴점충청북도 청주시 흥덕구 가로수로1164번길 41-44. 101호 (강서동. 우양센트럴상가)2016-11-23
23일반소매인씨유 청주가경스마일점충청북도 청주시 흥덕구 가경로 177. 1층 (가경동)2016-11-08
34일반소매인늘푸른마트충청북도 청주시 흥덕구 내수동로34번길 21 (복대동)2016-11-01
45일반소매인세븐일레븐 청주가경푸르지오점충청북도 청주시 흥덕구 2순환로1375번길 24. 상가동 101~102호 (가경동. 대우푸르지오아파트)2016-11-01
56일반소매인지에스(GS)25복대영조충청북도 청주시 흥덕구 증안로 100. 상가동 105호 (복대동. 영조아파트2차)2016-11-01
67일반소매인지에스25봉명센터충청북도 청주시 흥덕구 봉명로149번길 6. 101호 (봉명동)2016-10-19
78일반소매인왕대박행운충청북도 청주시 흥덕구 예체로 155-1. 1층 (봉명동)2016-10-14
89일반소매인씨유 청주복대타운점충청북도 청주시 흥덕구 대신로67번길 46 (복대동)2016-10-13
910일반소매인세영랜드충청북도 청주시 흥덕구 직지대로 751 (운천동)2016-10-11
순번민원구분업소명업소지번주소업소도로명주소지정일자
889890일반소매인연흥지업사충청북도 청주시 흥덕구 옥산면 오산리 202-1번지충청북도 청주시 흥덕구 옥산면 오산리 202-1번지1998-12-01
890891일반소매인우성사료충청북도 청주시 흥덕구 옥산면 가락리 763-5번지충청북도 청주시 흥덕구 옥산면 가락리 763-5번지1998-01-01
891892일반소매인주은할인마트충청북도 청주시 흥덕구 옥산면 오산리 467번지충청북도 청주시 흥덕구 옥산면 오산리 467번지1998-01-01
892893일반소매인오복상회충청북도 청주시 흥덕구 옥산면 오산리 487번지충청북도 청주시 흥덕구 옥산면 오산리 487번지1998-01-01
893894일반소매인명전사충청북도 청주시 흥덕구 옥산면 오산리 537번지충청북도 청주시 흥덕구 옥산면 오산리 537번지1998-01-01
894895일반소매인미정충청북도 청주시 흥덕구 오송읍 연제리 541번지충청북도 청주시 흥덕구 오송읍 연제리 541번지1998-01-01
895896일반소매인봉산상회충청북도 청주시 흥덕구 오송읍 봉산리 454번지충청북도 청주시 흥덕구 오송읍 봉산리 454번지1998-01-01
896897일반소매인미정충청북도 청주시 흥덕구 오송읍 봉산리 456-1번지충청북도 청주시 흥덕구 오송읍 봉산리 456-1번지1998-12-29
897898일반소매인후문슈퍼충청북도 청주시 흥덕구 강내면 탑연리 74-3번지충청북도 청주시 흥덕구 강내면 탑연리 74-3번지1999-04-06
898899일반소매인마을가게충청북도 청주시 흥덕구 강내면 궁현리 3-1번지충청북도 청주시 흥덕구 강내면 궁현리 3-1번지1998-01-01