Overview

Dataset statistics

Number of variables8
Number of observations40
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory70.3 B

Variable types

Numeric3
Text4
DateTime1

Dataset

Description충청남도 보령시_보령사랑상품권판매대행점현황 자료에 대한 연번, 지점명, 주소, 전화번호 항목에 대한 공개데이터
URLhttps://www.data.go.kr/data/15089540/fileData.do

Alerts

데이터 기준일 has constant value ""Constant
연번 has unique valuesUnique
지점명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 22:49:16.578317
Analysis finished2023-12-11 22:49:17.755740
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.5
Minimum1
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-12T07:49:17.851567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.95
Q110.75
median20.5
Q330.25
95-th percentile38.05
Maximum40
Range39
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation11.690452
Coefficient of variation (CV)0.57026595
Kurtosis-1.2
Mean20.5
Median Absolute Deviation (MAD)10
Skewness0
Sum820
Variance136.66667
MonotonicityStrictly increasing
2023-12-12T07:49:17.977806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1 1
 
2.5%
22 1
 
2.5%
24 1
 
2.5%
25 1
 
2.5%
26 1
 
2.5%
27 1
 
2.5%
28 1
 
2.5%
29 1
 
2.5%
30 1
 
2.5%
31 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
1 1
2.5%
2 1
2.5%
3 1
2.5%
4 1
2.5%
5 1
2.5%
6 1
2.5%
7 1
2.5%
8 1
2.5%
9 1
2.5%
10 1
2.5%
ValueCountFrequency (%)
40 1
2.5%
39 1
2.5%
38 1
2.5%
37 1
2.5%
36 1
2.5%
35 1
2.5%
34 1
2.5%
33 1
2.5%
32 1
2.5%
31 1
2.5%

지점명
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-12T07:49:18.168319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length8.875
Min length5

Characters and Unicode

Total characters355
Distinct characters67
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)100.0%

Sample

1st rowNH농협은행 보령시지부
2nd rowNH농협은행 보령시청 출장소
3rd rowNH농협은행 대천지점
4th row대천농협 본점
5th row대천농협 한내지점
ValueCountFrequency (%)
대천농협 10
 
13.5%
본점 7
 
9.5%
보령수협 4
 
5.4%
보령축협 4
 
5.4%
웅천농협 4
 
5.4%
대천신협 3
 
4.1%
nh농협은행 3
 
4.1%
대천지점 3
 
4.1%
보령우체국 2
 
2.7%
오천농협 2
 
2.7%
Other values (31) 32
43.2%
2023-12-12T07:49:18.474280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42
 
11.8%
협 35
 
9.9%
점 30
 
8.5%
천 29
 
8.2%
지 24
 
6.8%
농 24
 
6.8%
대 22
 
6.2%
보 13
 
3.7%
령 13
 
3.7%
본 7
 
2.0%
Other values (57) 116
32.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 307
86.5%
Space Separator 42
 
11.8%
Uppercase Letter 6
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
협 35
 
11.4%
점 30
 
9.8%
천 29
 
9.4%
지 24
 
7.8%
농 24
 
7.8%
대 22
 
7.2%
보 13
 
4.2%
령 13
 
4.2%
본 7
 
2.3%
동 6
 
2.0%
Other values (54) 104
33.9%
Uppercase Letter
ValueCountFrequency (%)
N 3
50.0%
H 3
50.0%
Space Separator
ValueCountFrequency (%)
42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 307
86.5%
Common 42
 
11.8%
Latin 6
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
협 35
 
11.4%
점 30
 
9.8%
천 29
 
9.4%
지 24
 
7.8%
농 24
 
7.8%
대 22
 
7.2%
보 13
 
4.2%
령 13
 
4.2%
본 7
 
2.3%
동 6
 
2.0%
Other values (54) 104
33.9%
Latin
ValueCountFrequency (%)
N 3
50.0%
H 3
50.0%
Common
ValueCountFrequency (%)
42
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 307
86.5%
ASCII 48
 
13.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
42
87.5%
N 3
 
6.2%
H 3
 
6.2%
Hangul
ValueCountFrequency (%)
협 35
 
11.4%
점 30
 
9.8%
천 29
 
9.4%
지 24
 
7.8%
농 24
 
7.8%
대 22
 
7.2%
보 13
 
4.2%
령 13
 
4.2%
본 7
 
2.3%
동 6
 
2.0%
Other values (54) 104
33.9%

소재지 도로명주소
Text

Distinct39
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-12T07:49:18.743624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length18
Min length15

Characters and Unicode

Total characters720
Distinct characters76
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)95.0%

Sample

1st row충청남도 보령시 대천로 22
2nd row충청남도 보령시 성주산로 77
3rd row충청남도 보령시 희망1길 18
4th row충청남도 보령시 남대천로 50
5th row충청남도 보령시 중앙로 57
ValueCountFrequency (%)
충청남도 40
22.7%
보령시 40
22.7%
한내로 4
 
2.3%
남대천로 3
 
1.7%
오천면 3
 
1.7%
웅천읍 2
 
1.1%
장터중앙길 2
 
1.1%
29 2
 
1.1%
11 2
 
1.1%
머드로 2
 
1.1%
Other values (69) 76
43.2%
2023-12-12T07:49:19.151204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
136
18.9%
청 45
 
6.2%
남 44
 
6.1%
충 43
 
6.0%
도 41
 
5.7%
시 41
 
5.7%
보 40
 
5.6%
령 40
 
5.6%
로 24
 
3.3%
1 23
 
3.2%
Other values (66) 243
33.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 478
66.4%
Space Separator 136
 
18.9%
Decimal Number 101
 
14.0%
Dash Punctuation 5
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 45
 
9.4%
남 44
 
9.2%
충 43
 
9.0%
도 41
 
8.6%
시 41
 
8.6%
보 40
 
8.4%
령 40
 
8.4%
로 24
 
5.0%
길 16
 
3.3%
면 14
 
2.9%
Other values (54) 130
27.2%
Decimal Number
ValueCountFrequency (%)
1 23
22.8%
8 14
13.9%
4 12
11.9%
2 11
10.9%
7 11
10.9%
3 8
 
7.9%
9 7
 
6.9%
0 6
 
5.9%
5 5
 
5.0%
6 4
 
4.0%
Space Separator
ValueCountFrequency (%)
136
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 478
66.4%
Common 242
33.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 45
 
9.4%
남 44
 
9.2%
충 43
 
9.0%
도 41
 
8.6%
시 41
 
8.6%
보 40
 
8.4%
령 40
 
8.4%
로 24
 
5.0%
길 16
 
3.3%
면 14
 
2.9%
Other values (54) 130
27.2%
Common
ValueCountFrequency (%)
136
56.2%
1 23
 
9.5%
8 14
 
5.8%
4 12
 
5.0%
2 11
 
4.5%
7 11
 
4.5%
3 8
 
3.3%
9 7
 
2.9%
0 6
 
2.5%
- 5
 
2.1%
Other values (2) 9
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 478
66.4%
ASCII 242
33.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
136
56.2%
1 23
 
9.5%
8 14
 
5.8%
4 12
 
5.0%
2 11
 
4.5%
7 11
 
4.5%
3 8
 
3.3%
9 7
 
2.9%
0 6
 
2.5%
- 5
 
2.1%
Other values (2) 9
 
3.7%
Hangul
ValueCountFrequency (%)
청 45
 
9.4%
남 44
 
9.2%
충 43
 
9.0%
도 41
 
8.6%
시 41
 
8.6%
보 40
 
8.4%
령 40
 
8.4%
로 24
 
5.0%
길 16
 
3.3%
면 14
 
2.9%
Other values (54) 130
27.2%

소재지 지번주소
Text

Distinct39
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-12T07:49:19.398373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21.5
Mean length19.325
Min length17

Characters and Unicode

Total characters773
Distinct characters59
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)95.0%

Sample

1st row충청남도 보령시 대천동 182-2
2nd row충청남도 보령시 명천동 269-4
3rd row충청남도 보령시 동대동 1235
4th row충청남도 보령시 대천동 324-3
5th row충청남도 보령시 대천동 618-360
ValueCountFrequency (%)
충청남도 40
22.7%
보령시 40
22.7%
대천동 10
 
5.7%
동대동 4
 
2.3%
명천동 4
 
2.3%
신흑동 4
 
2.3%
오천면 3
 
1.7%
미산면 2
 
1.1%
대창리 2
 
1.1%
웅천읍 2
 
1.1%
Other values (62) 65
36.9%
2023-12-12T07:49:19.841149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
136
17.6%
청 43
 
5.6%
도 42
 
5.4%
남 41
 
5.3%
보 41
 
5.3%
령 41
 
5.3%
시 40
 
5.2%
충 40
 
5.2%
동 28
 
3.6%
1 27
 
3.5%
Other values (49) 294
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 450
58.2%
Decimal Number 160
 
20.7%
Space Separator 136
 
17.6%
Dash Punctuation 27
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 43
9.6%
도 42
9.3%
남 41
9.1%
보 41
9.1%
령 41
9.1%
시 40
8.9%
충 40
8.9%
동 28
 
6.2%
천 20
 
4.4%
리 16
 
3.6%
Other values (37) 98
21.8%
Decimal Number
ValueCountFrequency (%)
1 27
16.9%
3 21
13.1%
2 21
13.1%
4 19
11.9%
8 16
10.0%
6 16
10.0%
7 12
7.5%
0 11
6.9%
9 10
 
6.2%
5 7
 
4.4%
Space Separator
ValueCountFrequency (%)
136
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 450
58.2%
Common 323
41.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 43
9.6%
도 42
9.3%
남 41
9.1%
보 41
9.1%
령 41
9.1%
시 40
8.9%
충 40
8.9%
동 28
 
6.2%
천 20
 
4.4%
리 16
 
3.6%
Other values (37) 98
21.8%
Common
ValueCountFrequency (%)
136
42.1%
1 27
 
8.4%
- 27
 
8.4%
3 21
 
6.5%
2 21
 
6.5%
4 19
 
5.9%
8 16
 
5.0%
6 16
 
5.0%
7 12
 
3.7%
0 11
 
3.4%
Other values (2) 17
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 450
58.2%
ASCII 323
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
136
42.1%
1 27
 
8.4%
- 27
 
8.4%
3 21
 
6.5%
2 21
 
6.5%
4 19
 
5.9%
8 16
 
5.0%
6 16
 
5.0%
7 12
 
3.7%
0 11
 
3.4%
Other values (2) 17
 
5.3%
Hangul
ValueCountFrequency (%)
청 43
9.6%
도 42
9.3%
남 41
9.1%
보 41
9.1%
령 41
9.1%
시 40
8.9%
충 40
8.9%
동 28
 
6.2%
천 20
 
4.4%
리 16
 
3.6%
Other values (37) 98
21.8%

위도
Real number (ℝ)

Distinct39
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.345458
Minimum36.198597
Maximum36.480138
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-12T07:49:20.242161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.198597
5-th percentile36.232059
Q136.332019
median36.348776
Q336.354193
95-th percentile36.438864
Maximum36.480138
Range0.28154166
Interquartile range (IQR)0.022173522

Descriptive statistics

Standard deviation0.058839168
Coefficient of variation (CV)0.0016188864
Kurtosis1.1480847
Mean36.345458
Median Absolute Deviation (MAD)0.014810878
Skewness-0.38236558
Sum1453.8183
Variance0.0034620477
MonotonicityNot monotonic
2023-12-12T07:49:20.362392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
36.3437571843 2
 
5.0%
36.3507215887 1
 
2.5%
36.438606802 1
 
2.5%
36.3522039945 1
 
2.5%
36.3476195179 1
 
2.5%
36.3596117985 1
 
2.5%
36.3086049478 1
 
2.5%
36.3523861836 1
 
2.5%
36.3448671197 1
 
2.5%
36.3273493657 1
 
2.5%
Other values (29) 29
72.5%
ValueCountFrequency (%)
36.1985965163 1
2.5%
36.209852267 1
2.5%
36.2332272872 1
2.5%
36.2344721331 1
2.5%
36.2923795634 1
2.5%
36.3047743395 1
2.5%
36.3069961964 1
2.5%
36.3086049478 1
2.5%
36.309947774 1
2.5%
36.3273493657 1
2.5%
ValueCountFrequency (%)
36.4801381781 1
2.5%
36.4437547037 1
2.5%
36.438606802 1
2.5%
36.4378264267 1
2.5%
36.4166284534 1
2.5%
36.4155303038 1
2.5%
36.3910864163 1
2.5%
36.3900995063 1
2.5%
36.3827409613 1
2.5%
36.3596117985 1
2.5%

경도
Real number (ℝ)

Distinct39
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.58915
Minimum126.43347
Maximum126.67693
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-12T07:49:20.479952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.43347
5-th percentile126.5146
Q1126.58513
median126.59665
Q3126.60593
95-th percentile126.67408
Maximum126.67693
Range0.24345464
Interquartile range (IQR)0.020791488

Descriptive statistics

Standard deviation0.049919599
Coefficient of variation (CV)0.00039434342
Kurtosis1.501922
Mean126.58915
Median Absolute Deviation (MAD)0.010336593
Skewness-0.80984272
Sum5063.5662
Variance0.0024919664
MonotonicityNot monotonic
2023-12-12T07:49:20.601272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
126.6111807624 2
 
5.0%
126.5971527939 1
 
2.5%
126.5192125154 1
 
2.5%
126.5936851075 1
 
2.5%
126.6062773574 1
 
2.5%
126.6028997548 1
 
2.5%
126.5169541518 1
 
2.5%
126.5958291776 1
 
2.5%
126.60278292 1
 
2.5%
126.5067266174 1
 
2.5%
Other values (29) 29
72.5%
ValueCountFrequency (%)
126.4334717558 1
2.5%
126.5067266174 1
2.5%
126.515013133 1
2.5%
126.5169541518 1
2.5%
126.5173188078 1
2.5%
126.5192125154 1
2.5%
126.522137243 1
2.5%
126.5271571541 1
2.5%
126.5694301285 1
2.5%
126.583723552 1
2.5%
ValueCountFrequency (%)
126.6769263942 1
2.5%
126.6760087868 1
2.5%
126.6739832448 1
2.5%
126.656290242 1
2.5%
126.6519190118 1
2.5%
126.6337351532 1
2.5%
126.61277219 1
2.5%
126.6111807624 2
5.0%
126.6062773574 1
2.5%
126.6058082196 1
2.5%

전화번호
Text

Distinct39
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-12T07:49:20.782898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.25
Min length12

Characters and Unicode

Total characters490
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)95.0%

Sample

1st row041-939-9241
2nd row041-932-6141
3rd row041-934-6970
4th row041-935-0144
5th row041-935-0141
ValueCountFrequency (%)
041-935-0134 2
 
5.0%
041-931-4059 1
 
2.5%
041-933-9767 1
 
2.5%
041-933-6600 1
 
2.5%
041-933-6161 1
 
2.5%
041-933-2130 1
 
2.5%
041-934-1559 1
 
2.5%
041-931-3350 1
 
2.5%
041-931-0241 1
 
2.5%
041-931-2010 1
 
2.5%
Other values (29) 29
72.5%
2023-12-12T07:49:21.108652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 80
16.3%
0 79
16.1%
1 79
16.1%
4 66
13.5%
3 59
12.0%
9 49
10.0%
5 22
 
4.5%
6 16
 
3.3%
2 14
 
2.9%
10
 
2.0%
Other values (2) 16
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 400
81.6%
Dash Punctuation 80
 
16.3%
Space Separator 10
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 79
19.8%
1 79
19.8%
4 66
16.5%
3 59
14.8%
9 49
12.2%
5 22
 
5.5%
6 16
 
4.0%
2 14
 
3.5%
7 9
 
2.2%
8 7
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 490
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 80
16.3%
0 79
16.1%
1 79
16.1%
4 66
13.5%
3 59
12.0%
9 49
10.0%
5 22
 
4.5%
6 16
 
3.3%
2 14
 
2.9%
10
 
2.0%
Other values (2) 16
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 490
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 80
16.3%
0 79
16.1%
1 79
16.1%
4 66
13.5%
3 59
12.0%
9 49
10.0%
5 22
 
4.5%
6 16
 
3.3%
2 14
 
2.9%
10
 
2.0%
Other values (2) 16
 
3.3%

데이터 기준일
Date

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum2023-08-24 00:00:00
Maximum2023-08-24 00:00:00
2023-12-12T07:49:21.210311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:49:21.326320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T07:49:17.346416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:49:16.867953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:49:17.101445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:49:17.423302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:49:16.950957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:49:17.178986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:49:17.491603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:49:17.028171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:49:17.272382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T07:49:21.426225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지점명소재지 도로명주소소재지 지번주소위도경도전화번호
연번1.0001.0001.0001.0000.4370.3071.000
지점명1.0001.0001.0001.0001.0001.0001.000
소재지 도로명주소1.0001.0001.0001.0001.0001.0001.000
소재지 지번주소1.0001.0001.0001.0001.0001.0001.000
위도0.4371.0001.0001.0001.0000.6681.000
경도0.3071.0001.0001.0000.6681.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.000
2023-12-12T07:49:21.518875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.000-0.023-0.243
위도-0.0231.000-0.337
경도-0.243-0.3371.000

Missing values

2023-12-12T07:49:17.589088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T07:49:17.707351image/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

연번지점명소재지 도로명주소소재지 지번주소위도경도전화번호데이터 기준일
01NH농협은행 보령시지부충청남도 보령시 대천로 22충청남도 보령시 대천동 182-236.350722126.597153041-939-92412023-08-24
12NH농협은행 보령시청 출장소충청남도 보령시 성주산로 77충청남도 보령시 명천동 269-436.333576126.612772041-932-61412023-08-24
23NH농협은행 대천지점충청남도 보령시 희망1길 18충청남도 보령시 동대동 123536.348223126.603333041-934-69702023-08-24
34대천농협 본점충청남도 보령시 남대천로 50충청남도 보령시 대천동 324-336.349328126.593398041-935-01442023-08-24
45대천농협 한내지점충청남도 보령시 중앙로 57충청남도 보령시 대천동 618-36036.349762126.59759041-935-01412023-08-24
56대천농협 해수욕장지점충청남도 보령시 머드로 11충청남도 보령시 신흑동 194736.306996126.517319041-934-00832023-08-24
67대천농협 명천지점충청남도 보령시 한내로 82충청남도 보령시 명천동 136-236.343757126.611181041-935-01342023-08-24
78대천농협 동대지점충청남도 보령시 한내로 82충청남도 보령시 명천동 136-236.343757126.611181041-935-01342023-08-24
89대천농협 주교지점충청남도 보령시 주교면 울계큰길 388충청남도 보령시 주교면 주교리 241-436.3901126.56943041-931-13412023-08-24
910대천농협 주포지점충청남도 보령시 주포면 질재로 47-61충청남도 보령시 주포면 보령리 46336.41553126.585604041-931-13482023-08-24
연번지점명소재지 도로명주소소재지 지번주소위도경도전화번호데이터 기준일
3031보령수협 대천항지점충청남도 보령시 대천항중앙길 72충청남도 보령시 신흑동 2240-936.327349126.506727041-933-97672023-08-24
3132보령수협 오천지점충청남도 보령시 오천면 오천해안로 781-15충청남도 보령시 오천면 소성리 700-8336.438607126.519213041-931-40592023-08-24
3233대천신협 본점충청남도 보령시 한내로 11충청남도 보령시 동대동 168836.348135126.605462041-930-70002023-08-24
3334대천신협 대천지점충청남도 보령시 원동2길 47충청남도 보령시 대천동 185-436.350808126.596139041-934-43512023-08-24
3435대천신협 신흑지점충청남도 보령시 해수욕장6길 104충청남도 보령시 신흑동 184836.309948126.515013041-931-12412023-08-24
3536보령시새마을금고충청남도 보령시 한내시장길 27충청남도 보령시 대천동 197-1836.350622126.595155041-931-32002023-08-24
3637웅천새마을금고충청남도 보령시 웅천읍 장터중앙길 130충청남도 보령시 웅천읍 대창리 463-336.233227126.599745041-934-25602023-08-24
3738보령우체국 본점충청남도 보령시 터미널길 29충청남도 보령시 궁촌동 339-236.343821126.587515041-930-77182023-08-24
3839보령우체국 대천동우체국충청남도 보령시 중앙로 78충청남도 보령시 대천동 187-836.351036126.595981041-931-20102023-08-24
3940하나은행 대천지점충청남도 보령시 남대천로 40충청남도 보령시 대천동 328-136.349907126.594089041-935-11112023-08-24