Overview

Dataset statistics

Number of variables10
Number of observations102
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.5 KiB
Average record size in memory85.3 B

Variable types

Numeric4
Text4
Categorical2

Dataset

Description대구광역시 북구 관내 자원봉사시설(수요처명, 시설유형, 전화번호, 팩스번호, 주소, 위치 등) 정보를 제공합니다.
Author대구광역시 북구
URLhttps://www.data.go.kr/data/15030604/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
우편번호 is highly overall correlated with 위도High correlation
위도 is highly overall correlated with 우편번호 and 2 other fieldsHigh correlation
경도 is highly overall correlated with 위도High correlation
시설유형 is highly overall correlated with 위도High correlation
연번 has unique valuesUnique
수요처명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:11:17.300736
Analysis finished2023-12-12 08:11:20.513692
Duration3.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct102
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.5
Minimum1
Maximum102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T17:11:20.609752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.05
Q126.25
median51.5
Q376.75
95-th percentile96.95
Maximum102
Range101
Interquartile range (IQR)50.5

Descriptive statistics

Standard deviation29.588849
Coefficient of variation (CV)0.57454076
Kurtosis-1.2
Mean51.5
Median Absolute Deviation (MAD)25.5
Skewness0
Sum5253
Variance875.5
MonotonicityStrictly increasing
2023-12-12T17:11:20.811511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
66 1
 
1.0%
76 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
Other values (92) 92
90.2%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
102 1
1.0%
101 1
1.0%
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%

수요처명
Text

UNIQUE 

Distinct102
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
2023-12-12T17:11:21.073276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length8.4901961
Min length3

Characters and Unicode

Total characters866
Distinct characters193
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique102 ?
Unique (%)100.0%

Sample

1st row(사)대구북구새마을회
2nd row가나안노인복지센터
3rd row가정북구노인복지센터
4th row가정종합사회복지관
5th row감나무골나눔과섬김의집
ValueCountFrequency (%)
사)대구북구새마을회 1
 
0.9%
예가노인복지센타2 1
 
0.9%
아름다운가게 1
 
0.9%
신한솔요양원1 1
 
0.9%
솔로몬지역아동센터 1
 
0.9%
성보재활원 1
 
0.9%
선린종합사회복지관 1
 
0.9%
서당골지역아동센터 1
 
0.9%
새볕원 1
 
0.9%
새볕실버빌 1
 
0.9%
Other values (96) 96
90.6%
2023-12-12T17:11:21.599850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 57
 
6.6%
센 54
 
6.2%
터 53
 
6.1%
구 41
 
4.7%
역 40
 
4.6%
동 36
 
4.2%
아 36
 
4.2%
대 30
 
3.5%
북 25
 
2.9%
복 21
 
2.4%
Other values (183) 473
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 857
99.0%
Space Separator 4
 
0.5%
Decimal Number 3
 
0.3%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 57
 
6.7%
센 54
 
6.3%
터 53
 
6.2%
구 41
 
4.8%
역 40
 
4.7%
동 36
 
4.2%
아 36
 
4.2%
대 30
 
3.5%
북 25
 
2.9%
복 21
 
2.5%
Other values (178) 464
54.1%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
2 1
33.3%
Space Separator
ValueCountFrequency (%)
4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 857
99.0%
Common 9
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 57
 
6.7%
센 54
 
6.3%
터 53
 
6.2%
구 41
 
4.8%
역 40
 
4.7%
동 36
 
4.2%
아 36
 
4.2%
대 30
 
3.5%
북 25
 
2.9%
복 21
 
2.5%
Other values (178) 464
54.1%
Common
ValueCountFrequency (%)
4
44.4%
1 2
22.2%
2 1
 
11.1%
( 1
 
11.1%
) 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 856
98.8%
ASCII 9
 
1.0%
Compat Jamo 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 57
 
6.7%
센 54
 
6.3%
터 53
 
6.2%
구 41
 
4.8%
역 40
 
4.7%
동 36
 
4.2%
아 36
 
4.2%
대 30
 
3.5%
북 25
 
2.9%
복 21
 
2.5%
Other values (177) 463
54.1%
ASCII
ValueCountFrequency (%)
4
44.4%
1 2
22.2%
2 1
 
11.1%
( 1
 
11.1%
) 1
 
11.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

시설유형
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size948.0 B
민간시설
61 
민간기관
21 
공공기관
10 
공공시설
 
6
행정기관
 
3

Length

Max length4
Median length4
Mean length3.9901961
Min length3

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row민간시설
2nd row민간시설
3rd row민간시설
4th row민간기관
5th row민간시설

Common Values

ValueCountFrequency (%)
민간시설 61
59.8%
민간기관 21
 
20.6%
공공기관 10
 
9.8%
공공시설 6
 
5.9%
행정기관 3
 
2.9%
기업체 1
 
1.0%

Length

2023-12-12T17:11:21.751913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:11:21.895702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간시설 61
59.8%
민간기관 21
 
20.6%
공공기관 10
 
9.8%
공공시설 6
 
5.9%
행정기관 3
 
2.9%
기업체 1
 
1.0%

전화번호
Text

Distinct100
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
2023-12-12T17:11:22.194132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.039216
Min length12

Characters and Unicode

Total characters1228
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

Unique98 ?
Unique (%)96.1%

Sample

1st row053-352-1622
2nd row053-322-2660
3rd row053-959-8310
4th row053-955-8310
5th row053-953-5550
ValueCountFrequency (%)
053-955-2368 2
 
2.0%
053-953-5550 2
 
2.0%
053-249-0965 1
 
1.0%
053-324-2522 1
 
1.0%
053-321-5804 1
 
1.0%
053-314-1008 1
 
1.0%
053-341-8033 1
 
1.0%
053-326-1691 1
 
1.0%
053-941-8328 1
 
1.0%
053-323-2297 1
 
1.0%
Other values (90) 90
88.2%
2023-12-12T17:11:22.641536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 238
19.4%
- 204
16.6%
0 179
14.6%
5 167
13.6%
2 107
8.7%
1 75
 
6.1%
9 60
 
4.9%
4 56
 
4.6%
6 55
 
4.5%
8 51
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1024
83.4%
Dash Punctuation 204
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 238
23.2%
0 179
17.5%
5 167
16.3%
2 107
10.4%
1 75
 
7.3%
9 60
 
5.9%
4 56
 
5.5%
6 55
 
5.4%
8 51
 
5.0%
7 36
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 204
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1228
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 238
19.4%
- 204
16.6%
0 179
14.6%
5 167
13.6%
2 107
8.7%
1 75
 
6.1%
9 60
 
4.9%
4 56
 
4.6%
6 55
 
4.5%
8 51
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1228
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 238
19.4%
- 204
16.6%
0 179
14.6%
5 167
13.6%
2 107
8.7%
1 75
 
6.1%
9 60
 
4.9%
4 56
 
4.6%
6 55
 
4.5%
8 51
 
4.2%

팩스번호
Text

Distinct92
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size948.0 B
2023-12-12T17:11:22.905780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.068627
Min length12

Characters and Unicode

Total characters1231
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

Unique88 ?
Unique (%)86.3%

Sample

1st row053-353-3787
2nd row053-312-2660
3rd row053-958-0420
4th row053-954-0420
5th row053-952-4776
ValueCountFrequency (%)
053-000-0000 8
 
7.8%
053-289-9970 2
 
2.0%
053-952-4776 2
 
2.0%
053-327-2995 2
 
2.0%
053-323-4332 1
 
1.0%
053-956-3160 1
 
1.0%
053-944-0266 1
 
1.0%
053-321-5810 1
 
1.0%
053-321-8291 1
 
1.0%
053-944-1173 1
 
1.0%
Other values (82) 82
80.4%
2023-12-12T17:11:23.385255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 214
17.4%
3 204
16.6%
- 204
16.6%
5 156
12.7%
2 94
7.6%
9 71
 
5.8%
1 67
 
5.4%
7 64
 
5.2%
4 61
 
5.0%
6 54
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1027
83.4%
Dash Punctuation 204
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 214
20.8%
3 204
19.9%
5 156
15.2%
2 94
9.2%
9 71
 
6.9%
1 67
 
6.5%
7 64
 
6.2%
4 61
 
5.9%
6 54
 
5.3%
8 42
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 204
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1231
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 214
17.4%
3 204
16.6%
- 204
16.6%
5 156
12.7%
2 94
7.6%
9 71
 
5.8%
1 67
 
5.4%
7 64
 
5.2%
4 61
 
5.0%
6 54
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1231
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 214
17.4%
3 204
16.6%
- 204
16.6%
5 156
12.7%
2 94
7.6%
9 71
 
5.8%
1 67
 
5.4%
7 64
 
5.2%
4 61
 
5.0%
6 54
 
4.4%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct62
Distinct (%)60.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41499.5
Minimum41404
Maximum41901
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T17:11:23.587192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41404
5-th percentile41413.25
Q141442
median41481.5
Q341550
95-th percentile41594
Maximum41901
Range497
Interquartile range (IQR)108

Descriptive statistics

Standard deviation73.682722
Coefficient of variation (CV)0.0017755087
Kurtosis6.9908225
Mean41499.5
Median Absolute Deviation (MAD)54
Skewness1.6529847
Sum4232949
Variance5429.1436
MonotonicityNot monotonic
2023-12-12T17:11:23.777389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41596 4
 
3.9%
41536 4
 
3.9%
41550 4
 
3.9%
41423 4
 
3.9%
41472 3
 
2.9%
41443 3
 
2.9%
41442 3
 
2.9%
41451 3
 
2.9%
41452 3
 
2.9%
41571 3
 
2.9%
Other values (52) 68
66.7%
ValueCountFrequency (%)
41404 2
2.0%
41408 2
2.0%
41412 1
 
1.0%
41413 1
 
1.0%
41418 1
 
1.0%
41419 1
 
1.0%
41423 4
3.9%
41424 2
2.0%
41425 1
 
1.0%
41427 2
2.0%
ValueCountFrequency (%)
41901 1
 
1.0%
41596 4
3.9%
41594 2
2.0%
41590 3
2.9%
41589 1
 
1.0%
41586 2
2.0%
41585 1
 
1.0%
41581 1
 
1.0%
41578 1
 
1.0%
41576 1
 
1.0%

주소
Text

Distinct100
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
2023-12-12T17:11:24.102195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length31
Mean length24.156863
Min length16

Characters and Unicode

Total characters2464
Distinct characters161
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)96.1%

Sample

1st row대구광역시 북구 원대로 50 (사)대구북구새마을회3층
2nd row대구광역시 북구 칠곡중앙대로77길 14 복음재단
3rd row대구광역시 북구 대동로10길 9
4th row대구광역시 북구 대동로10길 9 가정종합사회복지관
5th row대구광역시 북구 대현남로5길 14
ValueCountFrequency (%)
대구광역시 102
 
20.0%
북구 101
 
19.8%
2층 11
 
2.2%
칠곡중앙대로 9
 
1.8%
3층 7
 
1.4%
1층 6
 
1.2%
14 5
 
1.0%
관음동 3
 
0.6%
원대로 3
 
0.6%
38 3
 
0.6%
Other values (216) 260
51.0%
2023-12-12T17:11:24.624895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
444
18.0%
구 230
 
9.3%
대 150
 
6.1%
북 122
 
5.0%
역 109
 
4.4%
시 105
 
4.3%
광 104
 
4.2%
로 99
 
4.0%
1 87
 
3.5%
2 61
 
2.5%
Other values (151) 953
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1558
63.2%
Space Separator 444
 
18.0%
Decimal Number 397
 
16.1%
Dash Punctuation 25
 
1.0%
Open Punctuation 18
 
0.7%
Close Punctuation 18
 
0.7%
Other Punctuation 3
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 230
14.8%
대 150
 
9.6%
북 122
 
7.8%
역 109
 
7.0%
시 105
 
6.7%
광 104
 
6.7%
로 99
 
6.4%
길 48
 
3.1%
동 46
 
3.0%
층 36
 
2.3%
Other values (135) 509
32.7%
Decimal Number
ValueCountFrequency (%)
1 87
21.9%
2 61
15.4%
3 43
10.8%
4 39
9.8%
7 37
9.3%
5 34
 
8.6%
0 34
 
8.6%
8 23
 
5.8%
9 21
 
5.3%
6 18
 
4.5%
Space Separator
ValueCountFrequency (%)
444
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1558
63.2%
Common 905
36.7%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 230
14.8%
대 150
 
9.6%
북 122
 
7.8%
역 109
 
7.0%
시 105
 
6.7%
광 104
 
6.7%
로 99
 
6.4%
길 48
 
3.1%
동 46
 
3.0%
층 36
 
2.3%
Other values (135) 509
32.7%
Common
ValueCountFrequency (%)
444
49.1%
1 87
 
9.6%
2 61
 
6.7%
3 43
 
4.8%
4 39
 
4.3%
7 37
 
4.1%
5 34
 
3.8%
0 34
 
3.8%
- 25
 
2.8%
8 23
 
2.5%
Other values (5) 78
 
8.6%
Latin
ValueCountFrequency (%)
C 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1557
63.2%
ASCII 906
36.8%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
444
49.0%
1 87
 
9.6%
2 61
 
6.7%
3 43
 
4.7%
4 39
 
4.3%
7 37
 
4.1%
5 34
 
3.8%
0 34
 
3.8%
- 25
 
2.8%
8 23
 
2.5%
Other values (6) 79
 
8.7%
Hangul
ValueCountFrequency (%)
구 230
14.8%
대 150
 
9.6%
북 122
 
7.8%
역 109
 
7.0%
시 105
 
6.7%
광 104
 
6.7%
로 99
 
6.4%
길 48
 
3.1%
동 46
 
3.0%
층 36
 
2.3%
Other values (134) 508
32.6%
Compat Jamo
ValueCountFrequency (%)
ㄷ 1
100.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct92
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.910468
Minimum35.52414
Maximum35.960496
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T17:11:24.772167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.52414
5-th percentile35.881167
Q135.891879
median35.91423
Q335.938497
95-th percentile35.946002
Maximum35.960496
Range0.43635647
Interquartile range (IQR)0.046617088

Descriptive statistics

Standard deviation0.045771427
Coefficient of variation (CV)0.0012745985
Kurtosis50.37928
Mean35.910468
Median Absolute Deviation (MAD)0.0236839
Skewness-5.9924449
Sum3662.8678
Variance0.0020950236
MonotonicityNot monotonic
2023-12-12T17:11:24.899339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.93087223 3
 
2.9%
35.92832558 2
 
2.0%
35.89572333 2
 
2.0%
35.88231896 2
 
2.0%
35.89187948 2
 
2.0%
35.94241808 2
 
2.0%
35.95614888 2
 
2.0%
35.88301488 2
 
2.0%
35.93798215 2
 
2.0%
35.94492131 1
 
1.0%
Other values (82) 82
80.4%
ValueCountFrequency (%)
35.52414 1
1.0%
35.87522101 1
1.0%
35.87776978 1
1.0%
35.87900339 1
1.0%
35.88050387 1
1.0%
35.88113384 1
1.0%
35.881795 1
1.0%
35.88231896 2
2.0%
35.88275375 1
1.0%
35.88293469 1
1.0%
ValueCountFrequency (%)
35.96049647 1
1.0%
35.95614888 2
2.0%
35.95339899 1
1.0%
35.94703608 1
1.0%
35.9460586 1
1.0%
35.94492131 1
1.0%
35.94373038 1
1.0%
35.94351291 1
1.0%
35.94335621 1
1.0%
35.94330714 1
1.0%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct91
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.57484
Minimum128.3628
Maximum128.63009
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T17:11:25.268406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.3628
5-th percentile128.54517
Q1128.55018
median128.58024
Q3128.59975
95-th percentile128.62267
Maximum128.63009
Range0.2672902
Interquartile range (IQR)0.049567625

Descriptive statistics

Standard deviation0.034151949
Coefficient of variation (CV)0.00026561923
Kurtosis13.333424
Mean128.57484
Median Absolute Deviation (MAD)0.02483665
Skewness-2.2287461
Sum13114.634
Variance0.0011663557
MonotonicityNot monotonic
2023-12-12T17:11:25.382659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.546696 3
 
2.9%
128.5888952 2
 
2.0%
128.5652838 2
 
2.0%
128.5861602 2
 
2.0%
128.5458029 2
 
2.0%
128.5990439 2
 
2.0%
128.5489838 2
 
2.0%
128.5584136 2
 
2.0%
128.6114437 2
 
2.0%
128.6064673 2
 
2.0%
Other values (81) 81
79.4%
ValueCountFrequency (%)
128.3628 1
 
1.0%
128.5167786 1
 
1.0%
128.524279 1
 
1.0%
128.5410568 1
 
1.0%
128.5451345 1
 
1.0%
128.5451698 1
 
1.0%
128.5451752 1
 
1.0%
128.5455028 1
 
1.0%
128.5458029 2
2.0%
128.546696 3
2.9%
ValueCountFrequency (%)
128.6300902 1
1.0%
128.6263014 1
1.0%
128.6253933 1
1.0%
128.624156 1
1.0%
128.6236719 1
1.0%
128.6228284 1
1.0%
128.6196303 1
1.0%
128.6194654 1
1.0%
128.6169056 1
1.0%
128.6118441 1
1.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
2023-01-26
102 

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 (%)
2023-01-26 102
100.0%

Length

2023-12-12T17:11:25.515001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:11:25.596875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-01-26 102
100.0%

Interactions

2023-12-12T17:11:19.750600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:11:18.439806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:11:18.869952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:11:19.324116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:11:19.862700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:11:18.527695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:11:18.978323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:11:19.435760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:11:19.982898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:11:18.649833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:11:19.103823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:11:19.549470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:11:20.080114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:11:18.755642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:11:19.207398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:11:19.650560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:11:25.657107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설유형전화번호팩스번호우편번호주소위도경도
연번1.0000.2060.9780.7580.4120.9780.2850.000
시설유형0.2061.0001.0000.0000.2091.0000.9350.000
전화번호0.9781.0001.0001.0001.0000.9971.0000.967
팩스번호0.7580.0001.0001.0000.9490.9960.0000.924
우편번호0.4120.2091.0000.9491.0001.0000.6610.830
주소0.9781.0000.9970.9961.0001.0001.0001.000
위도0.2850.9351.0000.0000.6611.0001.0000.606
경도0.0000.0000.9670.9240.8301.0000.6061.000
2023-12-12T17:11:25.765339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번우편번호위도경도시설유형
연번1.000-0.0440.095-0.0870.103
우편번호-0.0441.000-0.9220.4980.136
위도0.095-0.9221.000-0.5520.682
경도-0.0870.498-0.5521.0000.000
시설유형0.1030.1360.6820.0001.000

Missing values

2023-12-12T17:11:20.256050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:11:20.441414image/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

연번수요처명시설유형전화번호팩스번호우편번호주소위도경도데이터기준일자
01(사)대구북구새마을회민간시설053-352-1622053-353-378741596대구광역시 북구 원대로 50 (사)대구북구새마을회3층35.881795128.5812452023-01-26
12가나안노인복지센터민간시설053-322-2660053-312-266041451대구광역시 북구 칠곡중앙대로77길 14 복음재단35.930872128.5466962023-01-26
23가정북구노인복지센터민간시설053-959-8310053-958-042041536대구광역시 북구 대동로10길 935.895723128.6114442023-01-26
34가정종합사회복지관민간기관053-955-8310053-954-042041536대구광역시 북구 대동로10길 9 가정종합사회복지관35.895723128.6114442023-01-26
45감나무골나눔과섬김의집민간시설053-953-5550053-952-477641571대구광역시 북구 대현남로5길 1435.882319128.6064672023-01-26
56감나무골작은학교 지역아동센터민간시설053-953-5550053-952-477641571대구광역시 북구 대현남로5길 14 (대현동)35.882319128.6064672023-01-26
67강북경찰서행정기관053-380-3323053-000-000041424대구광역시 북구 동암로 130 강북경찰서35.943513128.5651942023-01-26
78강북노인복지관민간시설053-313-6644053-313-664541447대구광역시 북구 칠곡중앙대로91길 21 강북노인복지회관 (관음동)35.936262128.5467112023-01-26
89강북노인복지센터민간기관053-314-0690053-324-649741423대구광역시 북구 팔거천동로 206 장원빌딩 401호35.942418128.5584142023-01-26
910강북보건지소공공시설053-665-4213053-665-421941427대구광역시 북구 대천로 81 동천동 주민센터 강북보건지소35.943297128.5553722023-01-26
연번수요처명시설유형전화번호팩스번호우편번호주소위도경도데이터기준일자
9293필통지역아동센터민간기관053-955-5529053-959-552941528대구광역시 북구 복현로 7235.8984128.6236722023-01-26
9394함지노인복지관공공시설053-326-3394053-665-429941424대구광역시 북구 동암로 18035.942894128.5703212023-01-26
9495해피업지역아동센터민간시설053-324-0182053-324-019641419대구광역시 북구 학남로 7735.946059128.5700562023-01-26
9596햇살가득지역아동센터민간시설053-264-0550053-283-055041430대구광역시 북구 대천로18길 22 3층35.935195128.5572992023-01-26
9697행복북구문화재단공공기관053-320-5103053-320-155341447대구광역시 북구 구암로 47 (관음동)35.935864128.5451342023-01-26
9798행복지역아동센터민간시설053-202-7979053-259-798241444대구광역시 북구 칠곡중앙대로91길 18 2층35.936577128.546892023-01-26
9899화성지역아동센터민간시설053-359-3399053-359-839741596대구광역시 북구 고성북로 31-1835.882935128.5822722023-01-26
99100효성기억학교민간시설053-327-0222053-311-788441472대구광역시 북구 구암로60길 3835.938668128.5700132023-01-26
100101효성실버타운민간시설053-327-0003053-327-022441408대구광역시 북구 도남길 92-52 효성실버타운35.960496128.5852372023-01-26
101102희망장애인 주간보호센터민간기관053-214-8100053-214-811141467대구광역시 북구 칠곡중앙대로 25435.918599128.5480192023-01-26