Overview

Dataset statistics

Number of variables9
Number of observations116
Missing cells8
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.4 KiB
Average record size in memory74.1 B

Variable types

Numeric1
Categorical4
Text4

Dataset

Description대구광역시 동구_자원봉사자 할인가맹점 현황_20160331
Author대구광역시 동구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15052511&dataSetDetailId=150525112a7dcbae1ade2_201809201420&provdMethod=FILE

Alerts

구군명 has constant value ""Constant
등록번호 is highly overall correlated with 할인내용(할인율) and 1 other fieldsHigh correlation
할인내용(할인율) is highly overall correlated with 등록번호 and 1 other fieldsHigh correlation
지정일자 is highly overall correlated with 등록번호 and 1 other fieldsHigh correlation
연락처 has 8 (6.9%) missing valuesMissing
등록번호 has unique valuesUnique
도로명 주소 has unique valuesUnique
대표자 has unique valuesUnique

Reproduction

Analysis started2024-04-19 05:35:35.519201
Analysis finished2024-04-19 05:35:36.310372
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct116
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1151.25
Minimum4
Maximum1808
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-19T14:35:36.395159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile148.75
Q1719.5
median1380
Q31542.5
95-th percentile1729.75
Maximum1808
Range1804
Interquartile range (IQR)823

Descriptive statistics

Standard deviation505.93423
Coefficient of variation (CV)0.43946513
Kurtosis-0.61785872
Mean1151.25
Median Absolute Deviation (MAD)194.5
Skewness-0.86440808
Sum133545
Variance255969.44
MonotonicityStrictly increasing
2024-04-19T14:35:36.532541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 1
 
0.9%
1419 1
 
0.9%
1542 1
 
0.9%
1541 1
 
0.9%
1537 1
 
0.9%
1536 1
 
0.9%
1535 1
 
0.9%
1441 1
 
0.9%
1440 1
 
0.9%
1439 1
 
0.9%
Other values (106) 106
91.4%
ValueCountFrequency (%)
4 1
0.9%
144 1
0.9%
145 1
0.9%
146 1
0.9%
147 1
0.9%
148 1
0.9%
149 1
0.9%
150 1
0.9%
151 1
0.9%
152 1
0.9%
ValueCountFrequency (%)
1808 1
0.9%
1793 1
0.9%
1777 1
0.9%
1769 1
0.9%
1747 1
0.9%
1735 1
0.9%
1728 1
0.9%
1725 1
0.9%
1721 1
0.9%
1707 1
0.9%

구군명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
대구광역시 동구
116 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시 동구
2nd row대구광역시 동구
3rd row대구광역시 동구
4th row대구광역시 동구
5th row대구광역시 동구

Common Values

ValueCountFrequency (%)
대구광역시 동구 116
100.0%

Length

2024-04-19T14:35:36.655131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:35:36.737827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 116
50.0%
동구 116
50.0%
Distinct115
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-04-19T14:35:36.933663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length6.6465517
Min length3

Characters and Unicode

Total characters771
Distinct characters237
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)98.3%

Sample

1st row씨네 80
2nd row동화사 집단시설지구(산중식당)
3rd row동화사 집단시설지구(산채식당)
4th row동화사 집단시설지구(고향식당)
5th row동화사 집단시설지구(폭포식당)
ValueCountFrequency (%)
동화사 9
 
6.0%
화끈한 2
 
1.3%
또래오래 2
 
1.3%
gm대우 2
 
1.3%
제이 2
 
1.3%
꼬미랑 2
 
1.3%
가람현대카서비스 1
 
0.7%
청정구룡포회 1
 
0.7%
도야지 1
 
0.7%
하누와 1
 
0.7%
Other values (128) 128
84.8%
2024-04-19T14:35:37.316159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35
 
4.5%
17
 
2.2%
16
 
2.1%
15
 
1.9%
15
 
1.9%
15
 
1.9%
15
 
1.9%
14
 
1.8%
14
 
1.8%
13
 
1.7%
Other values (227) 602
78.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 706
91.6%
Space Separator 35
 
4.5%
Close Punctuation 10
 
1.3%
Open Punctuation 10
 
1.3%
Decimal Number 5
 
0.6%
Uppercase Letter 4
 
0.5%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
17
 
2.4%
16
 
2.3%
15
 
2.1%
15
 
2.1%
15
 
2.1%
15
 
2.1%
14
 
2.0%
14
 
2.0%
13
 
1.8%
12
 
1.7%
Other values (217) 560
79.3%
Decimal Number
ValueCountFrequency (%)
3 2
40.0%
0 1
20.0%
6 1
20.0%
8 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
G 2
50.0%
M 2
50.0%
Space Separator
ValueCountFrequency (%)
35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 706
91.6%
Common 61
 
7.9%
Latin 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
17
 
2.4%
16
 
2.3%
15
 
2.1%
15
 
2.1%
15
 
2.1%
15
 
2.1%
14
 
2.0%
14
 
2.0%
13
 
1.8%
12
 
1.7%
Other values (217) 560
79.3%
Common
ValueCountFrequency (%)
35
57.4%
) 10
 
16.4%
( 10
 
16.4%
3 2
 
3.3%
0 1
 
1.6%
6 1
 
1.6%
. 1
 
1.6%
8 1
 
1.6%
Latin
ValueCountFrequency (%)
G 2
50.0%
M 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 706
91.6%
ASCII 65
 
8.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35
53.8%
) 10
 
15.4%
( 10
 
15.4%
G 2
 
3.1%
3 2
 
3.1%
M 2
 
3.1%
0 1
 
1.5%
6 1
 
1.5%
. 1
 
1.5%
8 1
 
1.5%
Hangul
ValueCountFrequency (%)
17
 
2.4%
16
 
2.3%
15
 
2.1%
15
 
2.1%
15
 
2.1%
15
 
2.1%
14
 
2.0%
14
 
2.0%
13
 
1.8%
12
 
1.7%
Other values (217) 560
79.3%

업종
Categorical

Distinct32
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
음식점
57 
자동차정비
미용업
세탁업
 
5
이용업
 
5
Other values (27)
35 

Length

Max length5
Median length3
Mean length3.1293103
Min length2

Unique

Unique20 ?
Unique (%)17.2%

Sample

1st row영화관
2nd row음식점
3rd row음식점
4th row음식점
5th row음식점

Common Values

ValueCountFrequency (%)
음식점 57
49.1%
자동차정비 7
 
6.0%
미용업 7
 
6.0%
세탁업 5
 
4.3%
이용업 5
 
4.3%
식육점 3
 
2.6%
치킨 2
 
1.7%
화장품 2
 
1.7%
학원 2
 
1.7%
호텔 2
 
1.7%
Other values (22) 24
20.7%

Length

2024-04-19T14:35:37.467351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
음식점 57
49.1%
미용업 7
 
6.0%
자동차정비 7
 
6.0%
세탁업 5
 
4.3%
이용업 5
 
4.3%
식육점 3
 
2.6%
호텔 2
 
1.7%
영화관 2
 
1.7%
꽃집 2
 
1.7%
학원 2
 
1.7%
Other values (22) 24
20.7%

도로명 주소
Text

UNIQUE 

Distinct116
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-04-19T14:35:37.705527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length22.793103
Min length15

Characters and Unicode

Total characters2644
Distinct characters86
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

Unique116 ?
Unique (%)100.0%

Sample

1st row대구광역시 동구 팔공산로 1184(용수동)
2nd row대구광역시 동구 용천로50길 59-5(용수동)
3rd row대구광역시 동구 팔공산로 185길 72(용수동)
4th row대구광역시 동구 팔공산로 185길 63(용수동)
5th row대구광역시 동구 팔공산로 185길 74(용수동)
ValueCountFrequency (%)
대구광역시 116
24.1%
동구 116
24.1%
팔공산로 10
 
2.1%
팔공로 6
 
1.2%
동촌로 6
 
1.2%
185길 5
 
1.0%
화랑로25길 4
 
0.8%
동호로2길 3
 
0.6%
24길 3
 
0.6%
동부로30길 3
 
0.6%
Other values (182) 209
43.5%
2024-04-19T14:35:38.157324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
369
 
14.0%
268
 
10.1%
233
 
8.8%
125
 
4.7%
119
 
4.5%
116
 
4.4%
116
 
4.4%
116
 
4.4%
) 115
 
4.3%
( 115
 
4.3%
Other values (76) 952
36.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1602
60.6%
Decimal Number 419
 
15.8%
Space Separator 369
 
14.0%
Close Punctuation 115
 
4.3%
Open Punctuation 115
 
4.3%
Dash Punctuation 24
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
268
16.7%
233
14.5%
125
 
7.8%
119
 
7.4%
116
 
7.2%
116
 
7.2%
116
 
7.2%
72
 
4.5%
47
 
2.9%
30
 
1.9%
Other values (62) 360
22.5%
Decimal Number
ValueCountFrequency (%)
1 100
23.9%
2 64
15.3%
5 45
10.7%
6 41
9.8%
3 41
9.8%
7 27
 
6.4%
0 26
 
6.2%
8 26
 
6.2%
9 25
 
6.0%
4 24
 
5.7%
Space Separator
ValueCountFrequency (%)
369
100.0%
Close Punctuation
ValueCountFrequency (%)
) 115
100.0%
Open Punctuation
ValueCountFrequency (%)
( 115
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1602
60.6%
Common 1042
39.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
268
16.7%
233
14.5%
125
 
7.8%
119
 
7.4%
116
 
7.2%
116
 
7.2%
116
 
7.2%
72
 
4.5%
47
 
2.9%
30
 
1.9%
Other values (62) 360
22.5%
Common
ValueCountFrequency (%)
369
35.4%
) 115
 
11.0%
( 115
 
11.0%
1 100
 
9.6%
2 64
 
6.1%
5 45
 
4.3%
6 41
 
3.9%
3 41
 
3.9%
7 27
 
2.6%
0 26
 
2.5%
Other values (4) 99
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1602
60.6%
ASCII 1042
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
369
35.4%
) 115
 
11.0%
( 115
 
11.0%
1 100
 
9.6%
2 64
 
6.1%
5 45
 
4.3%
6 41
 
3.9%
3 41
 
3.9%
7 27
 
2.6%
0 26
 
2.5%
Other values (4) 99
 
9.5%
Hangul
ValueCountFrequency (%)
268
16.7%
233
14.5%
125
 
7.8%
119
 
7.4%
116
 
7.2%
116
 
7.2%
116
 
7.2%
72
 
4.5%
47
 
2.9%
30
 
1.9%
Other values (62) 360
22.5%

대표자
Text

UNIQUE 

Distinct116
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-04-19T14:35:38.463463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.0258621
Min length3

Characters and Unicode

Total characters351
Distinct characters110
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique116 ?
Unique (%)100.0%

Sample

1st row김성수
2nd row김경환
3rd row윤정식
4th row박언진
5th row정상택
ValueCountFrequency (%)
김성수 1
 
0.9%
서홍명 1
 
0.9%
김영춘 1
 
0.9%
장영진 1
 
0.9%
김종선 1
 
0.9%
조휘만 1
 
0.9%
김민정 1
 
0.9%
조흥제 1
 
0.9%
김석남 1
 
0.9%
권금미 1
 
0.9%
Other values (107) 107
91.5%
2024-04-19T14:35:38.937803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
7.4%
16
 
4.6%
16
 
4.6%
13
 
3.7%
10
 
2.8%
10
 
2.8%
9
 
2.6%
8
 
2.3%
8
 
2.3%
7
 
2.0%
Other values (100) 228
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 348
99.1%
Space Separator 3
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
26
 
7.5%
16
 
4.6%
16
 
4.6%
13
 
3.7%
10
 
2.9%
10
 
2.9%
9
 
2.6%
8
 
2.3%
8
 
2.3%
7
 
2.0%
Other values (99) 225
64.7%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 348
99.1%
Common 3
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
26
 
7.5%
16
 
4.6%
16
 
4.6%
13
 
3.7%
10
 
2.9%
10
 
2.9%
9
 
2.6%
8
 
2.3%
8
 
2.3%
7
 
2.0%
Other values (99) 225
64.7%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 348
99.1%
ASCII 3
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
26
 
7.5%
16
 
4.6%
16
 
4.6%
13
 
3.7%
10
 
2.9%
10
 
2.9%
9
 
2.6%
8
 
2.3%
8
 
2.3%
7
 
2.0%
Other values (99) 225
64.7%
ASCII
ValueCountFrequency (%)
3
100.0%

연락처
Text

MISSING 

Distinct108
Distinct (%)100.0%
Missing8
Missing (%)6.9%
Memory size1.0 KiB
2024-04-19T14:35:39.188523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1296
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

Unique108 ?
Unique (%)100.0%

Sample

1st row053-984-0801
2nd row053-982-0077
3rd row053-985-4082
4th row053-982-1755
5th row053-982-0128
ValueCountFrequency (%)
053-752-5280 1
 
0.9%
053-743-3651 1
 
0.9%
053-984-0411 1
 
0.9%
053-954-1163 1
 
0.9%
053-752-0708 1
 
0.9%
053-983-9976 1
 
0.9%
053-754-5535 1
 
0.9%
053-981-3476 1
 
0.9%
053-986-8253 1
 
0.9%
053-755-5561 1
 
0.9%
Other values (98) 98
90.7%
2024-04-19T14:35:39.566613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 216
16.7%
5 192
14.8%
0 180
13.9%
3 168
13.0%
9 113
8.7%
8 103
7.9%
1 72
 
5.6%
4 67
 
5.2%
7 63
 
4.9%
2 61
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1080
83.3%
Dash Punctuation 216
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 192
17.8%
0 180
16.7%
3 168
15.6%
9 113
10.5%
8 103
9.5%
1 72
 
6.7%
4 67
 
6.2%
7 63
 
5.8%
2 61
 
5.6%
6 61
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 216
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1296
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 216
16.7%
5 192
14.8%
0 180
13.9%
3 168
13.0%
9 113
8.7%
8 103
7.9%
1 72
 
5.6%
4 67
 
5.2%
7 63
 
4.9%
2 61
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1296
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 216
16.7%
5 192
14.8%
0 180
13.9%
3 168
13.0%
9 113
8.7%
8 103
7.9%
1 72
 
5.6%
4 67
 
5.2%
7 63
 
4.9%
2 61
 
4.7%

할인내용(할인율)
Categorical

HIGH CORRELATION 

Distinct43
Distinct (%)37.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
전체품목 10%
33 
전체품목 5%
22 
전체품목10%
13 
전체품목5%
 
4
정비공임 10%
 
2
Other values (38)
42 

Length

Max length38
Median length23
Mean length9.3017241
Min length2

Unique

Unique34 ?
Unique (%)29.3%

Sample

1st row2,000원
2nd row전체품목10%
3rd row전체품목10%
4th row전체품목10%
5th row전체품목10%

Common Values

ValueCountFrequency (%)
전체품목 10% 33
28.4%
전체품목 5% 22
19.0%
전체품목10% 13
 
11.2%
전체품목5% 4
 
3.4%
정비공임 10% 2
 
1.7%
일부품목1,000원(치킨) 2
 
1.7%
전체품목 5% 2
 
1.7%
전체품목 10%(현금결제시) 2
 
1.7%
전체품목 10% 2
 
1.7%
전체품목 5%(점심특선 제외) 1
 
0.9%
Other values (33) 33
28.4%

Length

2024-04-19T14:35:39.712881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전체품목 72
32.1%
10 45
20.1%
5 28
 
12.5%
전체품목10 13
 
5.8%
제외 7
 
3.1%
전체품목5 4
 
1.8%
할인 2
 
0.9%
20 2
 
0.9%
공임 2
 
0.9%
10%(현금결제시 2
 
0.9%
Other values (45) 47
21.0%

지정일자
Categorical

HIGH CORRELATION 

Distinct37
Distinct (%)31.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2012-10-31
16 
2013-03-29
11 
2008-07-09
10 
2013-05-31
2008-03-20
Other values (32)
61 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique21 ?
Unique (%)18.1%

Sample

1st row2006-11-20
2nd row2008-03-20
3rd row2008-03-20
4th row2008-03-20
5th row2008-03-20

Common Values

ValueCountFrequency (%)
2012-10-31 16
13.8%
2013-03-29 11
 
9.5%
2008-07-09 10
 
8.6%
2013-05-31 9
 
7.8%
2008-03-20 9
 
7.8%
2012-04-30 6
 
5.2%
2012-12-31 5
 
4.3%
2012-09-27 5
 
4.3%
2012-06-29 5
 
4.3%
2010-05-31 4
 
3.4%
Other values (27) 36
31.0%

Length

2024-04-19T14:35:39.837020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2012-10-31 16
13.8%
2013-03-29 11
 
9.5%
2008-07-09 10
 
8.6%
2013-05-31 9
 
7.8%
2008-03-20 9
 
7.8%
2012-04-30 6
 
5.2%
2012-12-31 5
 
4.3%
2012-09-27 5
 
4.3%
2012-06-29 5
 
4.3%
2010-05-31 4
 
3.4%
Other values (27) 36
31.0%

Interactions

2024-04-19T14:35:35.948136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-19T14:35:39.919330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록번호업종할인내용(할인율)지정일자
등록번호1.0000.7910.9230.992
업종0.7911.0000.9400.887
할인내용(할인율)0.9230.9401.0000.968
지정일자0.9920.8870.9681.000
2024-04-19T14:35:40.324091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
할인내용(할인율)지정일자업종
할인내용(할인율)1.0000.5470.447
지정일자0.5471.0000.366
업종0.4470.3661.000
2024-04-19T14:35:40.414899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록번호업종할인내용(할인율)지정일자
등록번호1.0000.3740.5320.804
업종0.3741.0000.4470.366
할인내용(할인율)0.5320.4471.0000.547
지정일자0.8040.3660.5471.000

Missing values

2024-04-19T14:35:36.079262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-19T14:35:36.249113image/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

등록번호구군명업소명업종도로명 주소대표자연락처할인내용(할인율)지정일자
04대구광역시 동구씨네 80영화관대구광역시 동구 팔공산로 1184(용수동)김성수053-984-08012,000원2006-11-20
1144대구광역시 동구동화사 집단시설지구(산중식당)음식점대구광역시 동구 용천로50길 59-5(용수동)김경환053-982-0077전체품목10%2008-03-20
2145대구광역시 동구동화사 집단시설지구(산채식당)음식점대구광역시 동구 팔공산로 185길 72(용수동)윤정식053-985-4082전체품목10%2008-03-20
3146대구광역시 동구동화사 집단시설지구(고향식당)음식점대구광역시 동구 팔공산로 185길 63(용수동)박언진053-982-1755전체품목10%2008-03-20
4147대구광역시 동구동화사 집단시설지구(폭포식당)음식점대구광역시 동구 팔공산로 185길 74(용수동)정상택053-982-0128전체품목10%2008-03-20
5148대구광역시 동구동화사 집단시설지구(고려산장식당)음식점대구광역시 동구 팔공산로 185길 62(용수동)김미경053-982-0126전체품목10%2008-03-20
6149대구광역시 동구동화사 집단시설지구(송정식당)음식점대구광역시 동구 팔공산로 199길 28-5(용수동)이미경053-982-7999전체품목10%2008-03-20
7150대구광역시 동구동화사 집단시설지구(팔공산온천관광호텔)호텔대구광역시 동구 팔공산로 185길 11(용수동)이선기053-985-8080객실20%,온천사우나30%,식음료10%2008-03-20
8151대구광역시 동구동화사 집단시설지구(장안해물)음식점대구광역시 동구 팔공산로 1183(용수동)정영희053-983-8866전체품목10%2008-03-20
9152대구광역시 동구동화사 집단시설지구(한솔식당)음식점대구광역시 동구 팔공산로 199길 14(용수동)서정숙053-982-3730전체품목10%2008-03-20
등록번호구군명업소명업종도로명 주소대표자연락처할인내용(할인율)지정일자
1061707대구광역시 동구세미미용실미용업대구광역시 동구 팔공로28길 8-7(불로동)정의숙<NA>전품목 10%2013-08-31
1071721대구광역시 동구효성미용실미용업대구광역시 동구 효동로15길12(효목동)정위자053-953-5522전체품목 5%할인(커트제외)2013-10-31
1081725대구광역시 동구363명품오리음식점대구광역시 동구 동촌로 22(입석동)사공숙희053-982-0213전체품목 5%할인2013-11-30
1091728대구광역시 동구해수전복요식업대구광역시 동구 팔공로 24길 71(도동)이창동053-983-0776식사류 5%(요리 제외)2013-12-31
1101735대구광역시 동구웅진홈스쿨학원대구광역시 동구 효목로1길 60(효목동)김경애053-654-4490저소득가정 30%2014-03-31
1111747대구광역시 동구캡무빙이사이삿짐센터대구광역시 동구 안심로51길 15(서호동)박대동053-961-79245%2014-08-01
1121769대구광역시 동구신칼국수 참숯왕갈비음식업대구광역시 동구 동부로22길 71(신천동)김영희053-746-082510%2014-11-30
1131777대구광역시 동구이성형 합기도스포츠센터대구광역시 동구 팔공로51길 41 (봉무동)이성형053-981-1140도복비, 입관비 무료2015-02-28
1141793대구광역시 동구길목식당음식점대구광역시 동구 아양로11길 30-2 (신암동)한한순053-957-9711전체품목 10%2015-06-30
1151808대구광역시 동구롯데시네마 대구율하관영화관대구광역시 동구 안심로 80(율하동)이준규053-960-2641영화관람료 할인(3,000원/인 할인, 동반 3인까지, 중복할인제외)2016-01-31