Overview

Dataset statistics

Number of variables10
Number of observations139
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.4 KiB
Average record size in memory83.9 B

Variable types

Numeric3
Text4
Categorical3

Dataset

Description대구광역시 북구_자원봉사할인가맹점_20230126
Author대구광역시 북구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15030607&dataSetDetailId=150306071c6afa6c777ab_202001212110&provdMethod=FILE

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 등록일자High correlation
등록일자 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-04-20 19:57:25.972947
Analysis finished2024-04-20 19:57:28.972744
Duration3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct139
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70
Minimum1
Maximum139
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T04:57:29.093956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.9
Q135.5
median70
Q3104.5
95-th percentile132.1
Maximum139
Range138
Interquartile range (IQR)69

Descriptive statistics

Standard deviation40.269923
Coefficient of variation (CV)0.57528461
Kurtosis-1.2
Mean70
Median Absolute Deviation (MAD)35
Skewness0
Sum9730
Variance1621.6667
MonotonicityStrictly increasing
2024-04-21T04:57:29.342862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
97 1
 
0.7%
91 1
 
0.7%
92 1
 
0.7%
93 1
 
0.7%
94 1
 
0.7%
95 1
 
0.7%
96 1
 
0.7%
98 1
 
0.7%
89 1
 
0.7%
Other values (129) 129
92.8%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
139 1
0.7%
138 1
0.7%
137 1
0.7%
136 1
0.7%
135 1
0.7%
134 1
0.7%
133 1
0.7%
132 1
0.7%
131 1
0.7%
130 1
0.7%

가맹점명
Text

Distinct137
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-21T04:57:30.402641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length6.1942446
Min length1

Characters and Unicode

Total characters861
Distinct characters282
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique135 ?
Unique (%)97.1%

Sample

1st row대구디젤커먼레일
2nd row북부정비검사소
3rd row백두종합정비
4th row어울아트센터 (행복북구문화재단)
5th row대창가든
ValueCountFrequency (%)
헤어월드 2
 
1.2%
헤어 2
 
1.2%
미성참갈비 2
 
1.2%
플라워박사 1
 
0.6%
구룡포회도매 1
 
0.6%
은정헤어 1
 
0.6%
삼일건축인테리어 1
 
0.6%
서희원꼬지닷컴 1
 
0.6%
상하이반점 1
 
0.6%
명성산업(조광페인트 1
 
0.6%
Other values (148) 148
91.9%
2024-04-21T04:57:31.737236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
 
2.6%
리 21
 
2.4%
이 19
 
2.2%
미 15
 
1.7%
어 15
 
1.7%
사 12
 
1.4%
식 12
 
1.4%
화 12
 
1.4%
대 12
 
1.4%
경 12
 
1.4%
Other values (272) 709
82.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 814
94.5%
Space Separator 22
 
2.6%
Decimal Number 7
 
0.8%
Close Punctuation 6
 
0.7%
Open Punctuation 6
 
0.7%
Uppercase Letter 5
 
0.6%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 21
 
2.6%
이 19
 
2.3%
미 15
 
1.8%
어 15
 
1.8%
사 12
 
1.5%
식 12
 
1.5%
화 12
 
1.5%
대 12
 
1.5%
경 12
 
1.5%
당 11
 
1.4%
Other values (260) 673
82.7%
Uppercase Letter
ValueCountFrequency (%)
M 1
20.0%
G 1
20.0%
C 1
20.0%
Y 1
20.0%
B 1
20.0%
Decimal Number
ValueCountFrequency (%)
1 3
42.9%
2 2
28.6%
0 2
28.6%
Space Separator
ValueCountFrequency (%)
22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Math Symbol
ValueCountFrequency (%)
← 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 814
94.5%
Common 42
 
4.9%
Latin 5
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 21
 
2.6%
이 19
 
2.3%
미 15
 
1.8%
어 15
 
1.8%
사 12
 
1.5%
식 12
 
1.5%
화 12
 
1.5%
대 12
 
1.5%
경 12
 
1.5%
당 11
 
1.4%
Other values (260) 673
82.7%
Common
ValueCountFrequency (%)
22
52.4%
) 6
 
14.3%
( 6
 
14.3%
1 3
 
7.1%
2 2
 
4.8%
0 2
 
4.8%
← 1
 
2.4%
Latin
ValueCountFrequency (%)
M 1
20.0%
G 1
20.0%
C 1
20.0%
Y 1
20.0%
B 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 814
94.5%
ASCII 46
 
5.3%
Arrows 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22
47.8%
) 6
 
13.0%
( 6
 
13.0%
1 3
 
6.5%
2 2
 
4.3%
0 2
 
4.3%
M 1
 
2.2%
G 1
 
2.2%
C 1
 
2.2%
Y 1
 
2.2%
Hangul
ValueCountFrequency (%)
리 21
 
2.6%
이 19
 
2.3%
미 15
 
1.8%
어 15
 
1.8%
사 12
 
1.5%
식 12
 
1.5%
화 12
 
1.5%
대 12
 
1.5%
경 12
 
1.5%
당 11
 
1.4%
Other values (260) 673
82.7%
Arrows
ValueCountFrequency (%)
← 1
100.0%

분류
Categorical

Distinct39
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
음식점
42 
미용업
16 
꽃집
10 
자동차정비
6 
안경점
6 
Other values (34)
59 

Length

Max length5
Median length3
Mean length3.1294964
Min length2

Unique

Unique23 ?
Unique (%)16.5%

Sample

1st row자동차정비
2nd row자동차정비
3rd row자동차정비
4th row공연장
5th row음식점

Common Values

ValueCountFrequency (%)
음식점 42
30.2%
미용업 16
 
11.5%
꽃집 10
 
7.2%
자동차정비 6
 
4.3%
안경점 6
 
4.3%
세탁업 6
 
4.3%
사진관 5
 
3.6%
떡집 4
 
2.9%
인테리어 4
 
2.9%
치킨 3
 
2.2%
Other values (29) 37
26.6%

Length

2024-04-21T04:57:32.149907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
음식점 42
30.2%
미용업 16
 
11.5%
꽃집 10
 
7.2%
자동차정비 6
 
4.3%
안경점 6
 
4.3%
세탁업 6
 
4.3%
사진관 5
 
3.6%
떡집 4
 
2.9%
인테리어 4
 
2.9%
치킨 3
 
2.2%
Other values (29) 37
26.6%

주소
Text

Distinct138
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-21T04:57:33.010754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length41
Mean length24.928058
Min length19

Characters and Unicode

Total characters3465
Distinct characters125
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique137 ?
Unique (%)98.6%

Sample

1st row대구광역시 북구 노원로 1-1(노원동3가)
2nd row대구광역시 북구 동북로 47(산격동)
3rd row대구광역시 북구 모산골길 14(검단동)
4th row대구광역시 북구 구암로 47(관음동)
5th row대구광역시 북구 고성로28길 3(고성동2가)
ValueCountFrequency (%)
대구광역시 139
22.8%
북구 139
22.8%
연암로 11
 
1.8%
동북로 7
 
1.1%
칠곡중앙대로 6
 
1.0%
침산로 5
 
0.8%
동천로 4
 
0.7%
검단로 4
 
0.7%
대동로1길 4
 
0.7%
구암로 4
 
0.7%
Other values (250) 287
47.0%
2024-04-21T04:57:33.993797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
472
 
13.6%
구 296
 
8.5%
동 180
 
5.2%
대 178
 
5.1%
북 152
 
4.4%
시 141
 
4.1%
광 139
 
4.0%
역 139
 
4.0%
로 137
 
4.0%
1 136
 
3.9%
Other values (115) 1495
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2128
61.4%
Decimal Number 529
 
15.3%
Space Separator 472
 
13.6%
Close Punctuation 133
 
3.8%
Open Punctuation 133
 
3.8%
Other Punctuation 41
 
1.2%
Dash Punctuation 29
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 296
13.9%
동 180
 
8.5%
대 178
 
8.4%
북 152
 
7.1%
시 141
 
6.6%
광 139
 
6.5%
역 139
 
6.5%
로 137
 
6.4%
산 70
 
3.3%
길 58
 
2.7%
Other values (100) 638
30.0%
Decimal Number
ValueCountFrequency (%)
1 136
25.7%
3 70
13.2%
2 67
12.7%
0 44
 
8.3%
6 41
 
7.8%
4 40
 
7.6%
5 39
 
7.4%
9 32
 
6.0%
8 30
 
5.7%
7 30
 
5.7%
Space Separator
ValueCountFrequency (%)
472
100.0%
Close Punctuation
ValueCountFrequency (%)
) 133
100.0%
Open Punctuation
ValueCountFrequency (%)
( 133
100.0%
Other Punctuation
ValueCountFrequency (%)
, 41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2128
61.4%
Common 1337
38.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 296
13.9%
동 180
 
8.5%
대 178
 
8.4%
북 152
 
7.1%
시 141
 
6.6%
광 139
 
6.5%
역 139
 
6.5%
로 137
 
6.4%
산 70
 
3.3%
길 58
 
2.7%
Other values (100) 638
30.0%
Common
ValueCountFrequency (%)
472
35.3%
1 136
 
10.2%
) 133
 
9.9%
( 133
 
9.9%
3 70
 
5.2%
2 67
 
5.0%
0 44
 
3.3%
, 41
 
3.1%
6 41
 
3.1%
4 40
 
3.0%
Other values (5) 160
 
12.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2128
61.4%
ASCII 1337
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
472
35.3%
1 136
 
10.2%
) 133
 
9.9%
( 133
 
9.9%
3 70
 
5.2%
2 67
 
5.0%
0 44
 
3.3%
, 41
 
3.1%
6 41
 
3.1%
4 40
 
3.0%
Other values (5) 160
 
12.0%
Hangul
ValueCountFrequency (%)
구 296
13.9%
동 180
 
8.5%
대 178
 
8.4%
북 152
 
7.1%
시 141
 
6.6%
광 139
 
6.5%
역 139
 
6.5%
로 137
 
6.4%
산 70
 
3.3%
길 58
 
2.7%
Other values (100) 638
30.0%

전화번호
Text

Distinct137
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-21T04:57:34.776407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12
Min length11

Characters and Unicode

Total characters1668
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

Unique136 ?
Unique (%)97.8%

Sample

1st row053-354-1455
2nd row053-384-5555
3rd row053-384-9911
4th row053-320-5120
5th row053-356-2800
ValueCountFrequency (%)
000-000-0000 3
 
2.2%
053-356-4222 1
 
0.7%
053-311-4877 1
 
0.7%
053-958-1163 1
 
0.7%
053-955-9979 1
 
0.7%
053-383-7752 1
 
0.7%
053-959-4384 1
 
0.7%
053-942-0953 1
 
0.7%
053-354-1455 1
 
0.7%
053-958-2056 1
 
0.7%
Other values (127) 127
91.4%
2024-04-21T04:57:36.004503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 298
17.9%
- 278
16.7%
5 268
16.1%
0 250
15.0%
2 112
 
6.7%
1 99
 
5.9%
9 95
 
5.7%
8 76
 
4.6%
4 75
 
4.5%
6 68
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1390
83.3%
Dash Punctuation 278
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 298
21.4%
5 268
19.3%
0 250
18.0%
2 112
 
8.1%
1 99
 
7.1%
9 95
 
6.8%
8 76
 
5.5%
4 75
 
5.4%
6 68
 
4.9%
7 49
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 278
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1668
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 298
17.9%
- 278
16.7%
5 268
16.1%
0 250
15.0%
2 112
 
6.7%
1 99
 
5.9%
9 95
 
5.7%
8 76
 
4.6%
4 75
 
4.5%
6 68
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1668
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 298
17.9%
- 278
16.7%
5 268
16.1%
0 250
15.0%
2 112
 
6.7%
1 99
 
5.9%
9 95
 
5.7%
8 76
 
4.6%
4 75
 
4.5%
6 68
 
4.1%

할인내용
Text

Distinct67
Distinct (%)48.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-21T04:57:36.855743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length30
Mean length10.920863
Min length4

Characters and Unicode

Total characters1518
Distinct characters144
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)40.3%

Sample

1st row수리비 5%
2nd row수리비 5%
3rd row수리비 5%
4th row영화, 공연 10% 변경 (사전 전화신청으로만 할인가능)
5th row육류 10%
ValueCountFrequency (%)
전체품목 74
26.5%
5 41
14.7%
10 22
 
7.9%
5%(현금결제 16
 
5.7%
5%(현금결제시 14
 
5.0%
전체품목5 6
 
2.2%
전체품목10 6
 
2.2%
수리비 4
 
1.4%
펌 4
 
1.4%
염색 3
 
1.1%
Other values (74) 89
31.9%
2024-04-21T04:57:38.145389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
141
 
9.3%
% 139
 
9.2%
품 110
 
7.2%
목 97
 
6.4%
전 95
 
6.3%
체 92
 
6.1%
5 83
 
5.5%
0 62
 
4.1%
) 55
 
3.6%
( 55
 
3.6%
Other values (134) 589
38.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 882
58.1%
Decimal Number 207
 
13.6%
Other Punctuation 177
 
11.7%
Space Separator 141
 
9.3%
Close Punctuation 55
 
3.6%
Open Punctuation 55
 
3.6%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 110
12.5%
목 97
 
11.0%
전 95
 
10.8%
체 92
 
10.4%
제 54
 
6.1%
현 42
 
4.8%
금 41
 
4.6%
결 41
 
4.6%
시 23
 
2.6%
외 14
 
1.6%
Other values (122) 273
31.0%
Decimal Number
ValueCountFrequency (%)
5 83
40.1%
0 62
30.0%
1 53
25.6%
2 7
 
3.4%
3 2
 
1.0%
Other Punctuation
ValueCountFrequency (%)
% 139
78.5%
, 37
 
20.9%
/ 1
 
0.6%
Space Separator
ValueCountFrequency (%)
141
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 882
58.1%
Common 636
41.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 110
12.5%
목 97
 
11.0%
전 95
 
10.8%
체 92
 
10.4%
제 54
 
6.1%
현 42
 
4.8%
금 41
 
4.6%
결 41
 
4.6%
시 23
 
2.6%
외 14
 
1.6%
Other values (122) 273
31.0%
Common
ValueCountFrequency (%)
141
22.2%
% 139
21.9%
5 83
13.1%
0 62
9.7%
) 55
 
8.6%
( 55
 
8.6%
1 53
 
8.3%
, 37
 
5.8%
2 7
 
1.1%
3 2
 
0.3%
Other values (2) 2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 882
58.1%
ASCII 636
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
141
22.2%
% 139
21.9%
5 83
13.1%
0 62
9.7%
) 55
 
8.6%
( 55
 
8.6%
1 53
 
8.3%
, 37
 
5.8%
2 7
 
1.1%
3 2
 
0.3%
Other values (2) 2
 
0.3%
Hangul
ValueCountFrequency (%)
품 110
12.5%
목 97
 
11.0%
전 95
 
10.8%
체 92
 
10.4%
제 54
 
6.1%
현 42
 
4.8%
금 41
 
4.6%
결 41
 
4.6%
시 23
 
2.6%
외 14
 
1.6%
Other values (122) 273
31.0%

등록일자
Categorical

HIGH CORRELATION 

Distinct47
Distinct (%)33.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2011-10-31
35 
2011-12-30
11 
2010-10-29
9 
2012-10-31
8 
2011-08-26
 
6
Other values (42)
70 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique27 ?
Unique (%)19.4%

Sample

1st row2006-12-14
2nd row2006-12-14
3rd row2006-12-14
4th row2007-07-24
5th row2007-07-24

Common Values

ValueCountFrequency (%)
2011-10-31 35
25.2%
2011-12-30 11
 
7.9%
2010-10-29 9
 
6.5%
2012-10-31 8
 
5.8%
2011-08-26 6
 
4.3%
2009-09-30 6
 
4.3%
2012-12-31 4
 
2.9%
2012-08-29 4
 
2.9%
2007-07-24 3
 
2.2%
2011-03-31 3
 
2.2%
Other values (37) 50
36.0%

Length

2024-04-21T04:57:38.551651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2011-10-31 35
25.2%
2011-12-30 11
 
7.9%
2010-10-29 9
 
6.5%
2012-10-31 8
 
5.8%
2011-08-26 6
 
4.3%
2009-09-30 6
 
4.3%
2012-12-31 4
 
2.9%
2012-08-29 4
 
2.9%
2007-07-24 3
 
2.2%
2011-03-31 3
 
2.2%
Other values (37) 50
36.0%

위도
Real number (ℝ)

Distinct136
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.909721
Minimum35.875
Maximum35.960387
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T04:57:38.939392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.875
5-th percentile35.886123
Q135.892919
median35.900862
Q335.928163
95-th percentile35.94393
Maximum35.960387
Range0.08538693
Interquartile range (IQR)0.035243645

Descriptive statistics

Standard deviation0.020712523
Coefficient of variation (CV)0.00057679432
Kurtosis-1.1319575
Mean35.909721
Median Absolute Deviation (MAD)0.01187143
Skewness0.4883772
Sum4991.4512
Variance0.00042900861
MonotonicityNot monotonic
2024-04-21T04:57:39.371841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.90301471 2
 
1.4%
35.90109244 2
 
1.4%
35.89460131 2
 
1.4%
35.89061436 1
 
0.7%
35.89837485 1
 
0.7%
35.89669007 1
 
0.7%
35.88899096 1
 
0.7%
35.89114653 1
 
0.7%
35.90086239 1
 
0.7%
35.89396328 1
 
0.7%
Other values (126) 126
90.6%
ValueCountFrequency (%)
35.87500007 1
0.7%
35.87657049 1
0.7%
35.87673214 1
0.7%
35.88101774 1
0.7%
35.884777 1
0.7%
35.88537203 1
0.7%
35.88556966 1
0.7%
35.88618417 1
0.7%
35.88626626 1
0.7%
35.88631824 1
0.7%
ValueCountFrequency (%)
35.960387 1
0.7%
35.94715885 1
0.7%
35.94647507 1
0.7%
35.94523776 1
0.7%
35.94511835 1
0.7%
35.94475827 1
0.7%
35.94449917 1
0.7%
35.94386727 1
0.7%
35.94346602 1
0.7%
35.94292886 1
0.7%

경도
Real number (ℝ)

Distinct136
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.58434
Minimum128.54196
Maximum128.62701
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-21T04:57:39.791517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.54196
5-th percentile128.54486
Q1128.55666
median128.59252
Q3128.60608
95-th percentile128.6182
Maximum128.62701
Range0.0850475
Interquartile range (IQR)0.0494157

Descriptive statistics

Standard deviation0.026271159
Coefficient of variation (CV)0.00020431072
Kurtosis-1.3429223
Mean128.58434
Median Absolute Deviation (MAD)0.019921
Skewness-0.29690082
Sum17873.223
Variance0.00069017377
MonotonicityNot monotonic
2024-04-21T04:57:40.219529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.6167732 2
 
1.4%
128.5958873 2
 
1.4%
128.6175718 2
 
1.4%
128.5633323 1
 
0.7%
128.6075759 1
 
0.7%
128.6109859 1
 
0.7%
128.5711627 1
 
0.7%
128.5967652 1
 
0.7%
128.5854609 1
 
0.7%
128.5940172 1
 
0.7%
Other values (126) 126
90.6%
ValueCountFrequency (%)
128.5419576 1
0.7%
128.5420946 1
0.7%
128.5439178 1
0.7%
128.5444165 1
0.7%
128.5444438 1
0.7%
128.5445211 1
0.7%
128.5445337 1
0.7%
128.5448974 1
0.7%
128.5450114 1
0.7%
128.5451855 1
0.7%
ValueCountFrequency (%)
128.6270051 1
0.7%
128.6260295 1
0.7%
128.6247395 1
0.7%
128.621257 1
0.7%
128.6202857 1
0.7%
128.6198209 1
0.7%
128.6197208 1
0.7%
128.618034 1
0.7%
128.6177526 1
0.7%
128.6175718 2
1.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-01-26
139 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-01-26
2nd row2023-01-26
3rd row2023-01-26
4th row2023-01-26
5th row2023-01-26

Common Values

ValueCountFrequency (%)
2023-01-26 139
100.0%

Length

2024-04-21T04:57:40.627347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:57:40.936693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-01-26 139
100.0%

Interactions

2024-04-21T04:57:28.155607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T04:57:27.301196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T04:57:27.740566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T04:57:28.305568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T04:57:27.455546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T04:57:27.889655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T04:57:28.438017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T04:57:27.595708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T04:57:28.022625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T04:57:41.124755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번분류할인내용등록일자위도경도
연번1.0000.5300.7230.9620.3780.390
분류0.5301.0000.9340.7360.6590.056
할인내용0.7230.9341.0000.9770.3770.000
등록일자0.9620.7360.9771.0000.7500.715
위도0.3780.6590.3770.7501.0000.848
경도0.3900.0560.0000.7150.8481.000
2024-04-21T04:57:41.388479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분류등록일자
분류1.0000.190
등록일자0.1901.000
2024-04-21T04:57:41.845303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도분류등록일자
연번1.0000.101-0.1100.1740.647
위도0.1011.000-0.4950.2540.307
경도-0.110-0.4951.0000.0000.283
분류0.1740.2540.0001.0000.190
등록일자0.6470.3070.2830.1901.000

Missing values

2024-04-21T04:57:28.627334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T04:57:28.878119image/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

연번가맹점명분류주소전화번호할인내용등록일자위도경도데이터기준일자
01대구디젤커먼레일자동차정비대구광역시 북구 노원로 1-1(노원동3가)053-354-1455수리비 5%2006-12-1435.890614128.5633322023-01-26
12북부정비검사소자동차정비대구광역시 북구 동북로 47(산격동)053-384-5555수리비 5%2006-12-1435.902563128.5991892023-01-26
23백두종합정비자동차정비대구광역시 북구 모산골길 14(검단동)053-384-9911수리비 5%2006-12-1435.909384128.6260292023-01-26
34어울아트센터 (행복북구문화재단)공연장대구광역시 북구 구암로 47(관음동)053-320-5120영화, 공연 10% 변경 (사전 전화신청으로만 할인가능)2007-07-2435.935243128.5462262023-01-26
45대창가든음식점대구광역시 북구 고성로28길 3(고성동2가)053-356-2800육류 10%2007-07-2435.881018128.5816822023-01-26
56유니버시아드레포츠센터레포츠대구광역시 북구 호국로57길 6(서변동)053-950-0113(수영,휘트니스,골프10%-1개월에한함),일일이용권제외2007-07-2435.927995128.5979512023-01-26
67운암지먹거리타운(일송정)음식점대구광역시 북구 구암로54길 11(구암동)053-326-3777전체품목5%2008-03-2035.934967128.5675042023-01-26
78운암지먹거리타운(원할머니보쌈칠곡점)음식점대구광역시 북구 동천로 128-17(동천동)053-325-5353전체품목5%2008-03-2035.94284128.5626622023-01-26
89요나어린이집보육시설대구광역시 북구 경대로23길 80-7(복현동)053-955-0265전체품목10%2008-07-0935.892968128.6162632023-01-26
910사계절 플라워 조경꽃집대구광역시 북구 칠곡중앙대로 349(태전동)053-326-1515전체품목5%2008-07-0935.926868128.5472222023-01-26
연번가맹점명분류주소전화번호할인내용등록일자위도경도데이터기준일자
129130머리하세요미용업대구광역시 북구 칠곡중앙대로63길 9-25, 1층053-311-2030전체품목10%2016-10-3135.922792128.5456652023-01-26
130131롯데시네마 프리미엄칠곡영화관대구광역시 북구 학정로 422, 태을빌딩 5층053-324-0600현장 발권시 2,000원할인(조조/심야제외)2016-11-3035.942185128.5638872023-01-26
131132아이젠트리침산점안경점대구광역시 북구 침산로 158, 101동 1101호(침산동,건영하이츠상가)053-353-3143일부품목 10%할인(일회용품,약품,고글제외)2017-07-3135.890274128.5910432023-01-26
132133마술피리서적대구광역시 북구 침산로 93(칠성동) 3층053-383-3579전체품목10%2018-07-1635.885372128.5897912023-01-26
133134모모키즈빌리지음식점대구광역시 북구 유통단지로 14길 22053-955-5637전체품목 20%2019-04-3035.90522128.6103652023-01-26
134135학교앞사진관사진관대구광역시 북구 영송로 14, 1층(태전동)070-7781-1111증명20%, 가족사진30% 할인2019-06-2835.926538128.5444172023-01-26
135136청향이용소이용업대구광역시 북구 경대로 133(복현동)000-000-0000전체품목 10%2013-03-2935.891663128.6202862023-01-26
136137화성미용실 김호증모 가발미용업대구광역시 북구 성북로 70, 상가동 122호(침산동,화성파크드림)000-000-000커트, 펌 20%2021-01-3135.892321128.5918192023-01-26
137138대구시민전문장례식장장례업대구광역시 북구 호국로 898(동호동)053-324-4444분향소 이용요금 30%할인, 장례용품 10%할인, 관내 운구 서비스2021-04-3035.960387128.5575072023-01-26
138139반짝반짝빛나는음식업대구광역시 북구 대학로 23길 12(산격동)053-954-8111전체품목 10% 할인2021-12-3135.894746128.6106332023-01-26