Overview

Dataset statistics

Number of variables12
Number of observations95
Missing cells94
Missing cells (%)8.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.6 KiB
Average record size in memory103.4 B

Variable types

Numeric3
Categorical6
Text3

Dataset

Description서산시에 설치된 광고물 게시대 현황으로 관리번호, 관리기관, 지번주소, 위치설명, 열수, 수량 등에 관한 정보를 제공합니다.
Author충청남도 서산시
URLhttps://www.data.go.kr/data/3070710/fileData.do

Alerts

관리기관 has constant value ""Constant
관리기관 연락처 has constant value ""Constant
수량 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Unnamed: 11 has constant value ""Constant
가능매수 is highly overall correlated with 열수High correlation
열수 is highly overall correlated with 가능매수High correlation
열수 is highly imbalanced (78.0%)Imbalance
가능매수 is highly imbalanced (78.0%)Imbalance
Unnamed: 11 has 94 (98.9%) missing valuesMissing
관리번호 has unique valuesUnique
위치설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:28:34.505444
Analysis finished2023-12-12 01:28:36.404145
Duration1.9 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Real number (ℝ)

UNIQUE 

Distinct95
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48
Minimum1
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2023-12-12T10:28:36.520010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.7
Q124.5
median48
Q371.5
95-th percentile90.3
Maximum95
Range94
Interquartile range (IQR)47

Descriptive statistics

Standard deviation27.568098
Coefficient of variation (CV)0.57433536
Kurtosis-1.2
Mean48
Median Absolute Deviation (MAD)24
Skewness0
Sum4560
Variance760
MonotonicityStrictly increasing
2023-12-12T10:28:36.722880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
2 1
 
1.1%
71 1
 
1.1%
70 1
 
1.1%
69 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
Other values (85) 85
89.5%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
95 1
1.1%
94 1
1.1%
93 1
1.1%
92 1
1.1%
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%

관리기관
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
서산시청
95 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서산시청 95
100.0%

Length

2023-12-12T10:28:36.904609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:28:37.020637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서산시청 95
100.0%

관리기관 연락처
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
041-660-3094
95 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row041-660-3094
2nd row041-660-3094
3rd row041-660-3094
4th row041-660-3094
5th row041-660-3094

Common Values

ValueCountFrequency (%)
041-660-3094 95
100.0%

Length

2023-12-12T10:28:37.149374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:28:37.242867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
041-660-3094 95
100.0%

지번주소
Text

Distinct68
Distinct (%)71.6%
Missing0
Missing (%)0.0%
Memory size892.0 B
2023-12-12T10:28:37.590952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length19.715789
Min length16

Characters and Unicode

Total characters1873
Distinct characters82
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

Unique46 ?
Unique (%)48.4%

Sample

1st row충청남도 서산시 석림동 952
2nd row충청남도 서산시 석림동 952
3rd row충청남도 서산시 석림동 952
4th row충청남도 서산시 석림동 952
5th row충청남도 서산시 석림동 317
ValueCountFrequency (%)
서산시 96
22.3%
충청남도 95
22.0%
석림동 13
 
3.0%
대산읍 11
 
2.6%
석남동 8
 
1.9%
성연면 8
 
1.9%
지곡면 8
 
1.9%
예천동 8
 
1.9%
해미면 5
 
1.2%
무장리 5
 
1.2%
Other values (106) 174
40.4%
2023-12-12T10:28:38.127882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
336
17.9%
산 129
 
6.9%
남 103
 
5.5%
도 97
 
5.2%
서 96
 
5.1%
시 96
 
5.1%
충 95
 
5.1%
청 95
 
5.1%
- 69
 
3.7%
1 64
 
3.4%
Other values (72) 693
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1105
59.0%
Decimal Number 363
 
19.4%
Space Separator 336
 
17.9%
Dash Punctuation 69
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 129
11.7%
남 103
 
9.3%
도 97
 
8.8%
서 96
 
8.7%
시 96
 
8.7%
충 95
 
8.6%
청 95
 
8.6%
동 52
 
4.7%
리 47
 
4.3%
면 36
 
3.3%
Other values (60) 259
23.4%
Decimal Number
ValueCountFrequency (%)
1 64
17.6%
3 45
12.4%
6 39
10.7%
4 38
10.5%
5 35
9.6%
2 35
9.6%
9 33
9.1%
8 29
8.0%
7 24
 
6.6%
0 21
 
5.8%
Space Separator
ValueCountFrequency (%)
336
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1105
59.0%
Common 768
41.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 129
11.7%
남 103
 
9.3%
도 97
 
8.8%
서 96
 
8.7%
시 96
 
8.7%
충 95
 
8.6%
청 95
 
8.6%
동 52
 
4.7%
리 47
 
4.3%
면 36
 
3.3%
Other values (60) 259
23.4%
Common
ValueCountFrequency (%)
336
43.8%
- 69
 
9.0%
1 64
 
8.3%
3 45
 
5.9%
6 39
 
5.1%
4 38
 
4.9%
5 35
 
4.6%
2 35
 
4.6%
9 33
 
4.3%
8 29
 
3.8%
Other values (2) 45
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1105
59.0%
ASCII 768
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
336
43.8%
- 69
 
9.0%
1 64
 
8.3%
3 45
 
5.9%
6 39
 
5.1%
4 38
 
4.9%
5 35
 
4.6%
2 35
 
4.6%
9 33
 
4.3%
8 29
 
3.8%
Other values (2) 45
 
5.9%
Hangul
ValueCountFrequency (%)
산 129
11.7%
남 103
 
9.3%
도 97
 
8.8%
서 96
 
8.7%
시 96
 
8.7%
충 95
 
8.6%
청 95
 
8.6%
동 52
 
4.7%
리 47
 
4.3%
면 36
 
3.3%
Other values (60) 259
23.4%

위치설명
Text

UNIQUE 

Distinct95
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size892.0 B
2023-12-12T10:28:38.421578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.0210526
Min length6

Characters and Unicode

Total characters857
Distinct characters138
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

Unique95 ?
Unique (%)100.0%

Sample

1st row의료원사거리게시대A
2nd row의료원사거리게시대B
3rd row의료원사거리게시대C
4th row의료원사거리게시대D
5th row석림육교게시대A
ValueCountFrequency (%)
의료원사거리게시대a 1
 
1.1%
위스코삼거리게시대a 1
 
1.1%
세무서사거리게시대b 1
 
1.1%
잠홍삼거리게시대c 1
 
1.1%
잠홍삼거리게시대b 1
 
1.1%
서일고정류소게시대 1
 
1.1%
예천주공사거리게시대a 1
 
1.1%
캐슬아파트입구b 1
 
1.1%
창리사거리게시대 1
 
1.1%
영탑리게시대 1
 
1.1%
Other values (85) 85
89.5%
2023-12-12T10:28:38.855921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 101
 
11.8%
시 94
 
11.0%
게 92
 
10.7%
리 51
 
6.0%
거 43
 
5.0%
사 29
 
3.4%
A 27
 
3.2%
B 23
 
2.7%
삼 18
 
2.1%
아 15
 
1.8%
Other values (128) 364
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 794
92.6%
Uppercase Letter 61
 
7.1%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 101
 
12.7%
시 94
 
11.8%
게 92
 
11.6%
리 51
 
6.4%
거 43
 
5.4%
사 29
 
3.7%
삼 18
 
2.3%
아 15
 
1.9%
트 13
 
1.6%
원 12
 
1.5%
Other values (120) 326
41.1%
Uppercase Letter
ValueCountFrequency (%)
A 27
44.3%
B 23
37.7%
C 6
 
9.8%
D 2
 
3.3%
F 1
 
1.6%
G 1
 
1.6%
E 1
 
1.6%
Decimal Number
ValueCountFrequency (%)
2 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 794
92.6%
Latin 61
 
7.1%
Common 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 101
 
12.7%
시 94
 
11.8%
게 92
 
11.6%
리 51
 
6.4%
거 43
 
5.4%
사 29
 
3.7%
삼 18
 
2.3%
아 15
 
1.9%
트 13
 
1.6%
원 12
 
1.5%
Other values (120) 326
41.1%
Latin
ValueCountFrequency (%)
A 27
44.3%
B 23
37.7%
C 6
 
9.8%
D 2
 
3.3%
F 1
 
1.6%
G 1
 
1.6%
E 1
 
1.6%
Common
ValueCountFrequency (%)
2 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 794
92.6%
ASCII 63
 
7.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 101
 
12.7%
시 94
 
11.8%
게 92
 
11.6%
리 51
 
6.4%
거 43
 
5.4%
사 29
 
3.7%
삼 18
 
2.3%
아 15
 
1.9%
트 13
 
1.6%
원 12
 
1.5%
Other values (120) 326
41.1%
ASCII
ValueCountFrequency (%)
A 27
42.9%
B 23
36.5%
C 6
 
9.5%
2 2
 
3.2%
D 2
 
3.2%
F 1
 
1.6%
G 1
 
1.6%
E 1
 
1.6%

열수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size892.0 B
5
90 
2
 
3
3
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row5
3rd row5
4th row5
5th row5

Common Values

ValueCountFrequency (%)
5 90
94.7%
2 3
 
3.2%
3 2
 
2.1%

Length

2023-12-12T10:28:39.023194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:28:39.150053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 90
94.7%
2 3
 
3.2%
3 2
 
2.1%

수량
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
1
95 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 95
100.0%

Length

2023-12-12T10:28:39.274084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:28:39.371421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 95
100.0%

가능매수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size892.0 B
5
90 
2
 
3
3
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row5
3rd row5
4th row5
5th row5

Common Values

ValueCountFrequency (%)
5 90
94.7%
2 3
 
3.2%
3 2
 
2.1%

Length

2023-12-12T10:28:39.481053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:28:39.606945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 90
94.7%
2 3
 
3.2%
3 2
 
2.1%

경도(WGS84좌표)
Real number (ℝ)

Distinct93
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.795346
Minimum36.45154
Maximum36.99976
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2023-12-12T10:28:39.743794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.45154
5-th percentile36.688703
Q136.764075
median36.77817
Q336.829105
95-th percentile36.970282
Maximum36.99976
Range0.54822
Interquartile range (IQR)0.06503

Descriptive statistics

Standard deviation0.083642622
Coefficient of variation (CV)0.0022731848
Kurtosis3.1990124
Mean36.795346
Median Absolute Deviation (MAD)0.01955
Skewness-0.0033630262
Sum3495.5579
Variance0.0069960883
MonotonicityNot monotonic
2023-12-12T10:28:39.904513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.76386 2
 
2.1%
36.771383 2
 
2.1%
36.78667 1
 
1.1%
36.78834 1
 
1.1%
36.78839 1
 
1.1%
36.85778 1
 
1.1%
36.77118 1
 
1.1%
36.77813 1
 
1.1%
36.62751 1
 
1.1%
36.92985 1
 
1.1%
Other values (83) 83
87.4%
ValueCountFrequency (%)
36.45154 1
1.1%
36.61489 1
1.1%
36.62751 1
1.1%
36.67122 1
1.1%
36.68535 1
1.1%
36.69014 1
1.1%
36.70578 1
1.1%
36.70856 1
1.1%
36.71216 1
1.1%
36.71716 1
1.1%
ValueCountFrequency (%)
36.99976 1
1.1%
36.989 1
1.1%
36.98896 1
1.1%
36.98843 1
1.1%
36.97612 1
1.1%
36.96778 1
1.1%
36.96765 1
1.1%
36.94201 1
1.1%
36.93769 1
1.1%
36.93758 1
1.1%

위도(WGS84좌표)
Real number (ℝ)

Distinct85
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.45613
Minimum126.3502
Maximum126.5794
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2023-12-12T10:28:40.078099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.3502
5-th percentile126.39131
Q1126.43985
median126.4498
Q3126.4673
95-th percentile126.5389
Maximum126.5794
Range0.2292
Interquartile range (IQR)0.02745

Descriptive statistics

Standard deviation0.041623108
Coefficient of variation (CV)0.00032915057
Kurtosis1.8213285
Mean126.45613
Median Absolute Deviation (MAD)0.016
Skewness0.7283691
Sum12013.332
Variance0.0017324831
MonotonicityNot monotonic
2023-12-12T10:28:40.242138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.4646 3
 
3.2%
126.4627 2
 
2.1%
126.4722 2
 
2.1%
126.4415 2
 
2.1%
126.446067 2
 
2.1%
126.4674 2
 
2.1%
126.4338 2
 
2.1%
126.4806 2
 
2.1%
126.4431 2
 
2.1%
126.46428 1
 
1.1%
Other values (75) 75
78.9%
ValueCountFrequency (%)
126.3502 1
1.1%
126.3681 1
1.1%
126.3702 1
1.1%
126.376 1
1.1%
126.3883 1
1.1%
126.3926 1
1.1%
126.3954 1
1.1%
126.4114 1
1.1%
126.4125 1
1.1%
126.4127 1
1.1%
ValueCountFrequency (%)
126.5794 1
1.1%
126.5758 1
1.1%
126.5655 1
1.1%
126.5653 1
1.1%
126.5515 1
1.1%
126.5335 1
1.1%
126.5334 1
1.1%
126.5323 1
1.1%
126.5136 1
1.1%
126.5131 1
1.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
2020-09-28
95 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-09-28
2nd row2020-09-28
3rd row2020-09-28
4th row2020-09-28
5th row2020-09-28

Common Values

ValueCountFrequency (%)
2020-09-28 95
100.0%

Length

2023-12-12T10:28:40.700788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:28:40.795877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-09-28 95
100.0%

Unnamed: 11
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing94
Missing (%)98.9%
Memory size892.0 B
2023-12-12T10:28:40.862256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row수정
ValueCountFrequency (%)
수정 1
100.0%
2023-12-12T10:28:41.087029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
수 1
50.0%
정 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 1
50.0%
정 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 1
50.0%
정 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
수 1
50.0%
정 1
50.0%

Interactions

2023-12-12T10:28:35.670130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:28:35.009354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:28:35.321176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:28:35.781720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:28:35.103063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:28:35.431164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:28:35.890446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:28:35.216985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:28:35.554582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:28:41.193221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호지번주소위치설명열수가능매수경도(WGS84좌표)위도(WGS84좌표)
관리번호1.0000.9761.0000.5810.5810.6430.757
지번주소0.9761.0001.0001.0001.0000.9750.999
위치설명1.0001.0001.0001.0001.0001.0001.000
열수0.5811.0001.0001.0001.0000.7580.000
가능매수0.5811.0001.0001.0001.0000.7580.000
경도(WGS84좌표)0.6430.9751.0000.7580.7581.0000.666
위도(WGS84좌표)0.7570.9991.0000.0000.0000.6661.000
2023-12-12T10:28:41.320204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
가능매수열수
가능매수1.0001.000
열수1.0001.000
2023-12-12T10:28:41.427415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호경도(WGS84좌표)위도(WGS84좌표)열수가능매수
관리번호1.0000.007-0.0410.4070.407
경도(WGS84좌표)0.0071.000-0.3060.4470.447
위도(WGS84좌표)-0.041-0.3061.0000.0000.000
열수0.4070.4470.0001.0001.000
가능매수0.4070.4470.0001.0001.000

Missing values

2023-12-12T10:28:36.053810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:28:36.308264image/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

관리번호관리기관관리기관 연락처지번주소위치설명열수수량가능매수경도(WGS84좌표)위도(WGS84좌표)데이터기준일자Unnamed: 11
01서산시청041-660-3094충청남도 서산시 석림동 952의료원사거리게시대A51536.77497126.464282020-09-28<NA>
12서산시청041-660-3094충청남도 서산시 석림동 952의료원사거리게시대B51536.45154126.452012020-09-28<NA>
23서산시청041-660-3094충청남도 서산시 석림동 952의료원사거리게시대C51536.7738126.46272020-09-28<NA>
34서산시청041-660-3094충청남도 서산시 석림동 952의료원사거리게시대D51536.77379126.46272020-09-28<NA>
45서산시청041-660-3094충청남도 서산시 석림동 317석림육교게시대A51536.76984126.47222020-09-28<NA>
56서산시청041-660-3094충청남도 서산시 석림동 317석림육교게시대B51536.76977126.47222020-09-28<NA>
67서산시청041-660-3094충청남도 서산시 예천동 산7-69예천사거리게시대A51536.77306126.44152020-09-28<NA>
78서산시청041-660-3094충청남도 서산시 예천동 산7-69예천사거리게시대B51536.77308126.44172020-09-28<NA>
89서산시청041-660-3094충청남도 서산시 예천동 산7-69예천사거리게시대C51536.77311126.44192020-09-28<NA>
910서산시청041-660-3094충청남도 서산시 석남동 35-13영진크로바아파트게시대A51536.76947126.45462020-09-28<NA>
관리번호관리기관관리기관 연락처지번주소위치설명열수수량가능매수경도(WGS84좌표)위도(WGS84좌표)데이터기준일자Unnamed: 11
8586서산시청041-660-3094충청남도 서산시 예천동 464-5예천주공사거리게시대B51536.77096126.44772020-09-28<NA>
8687서산시청041-660-3094충청남도 서산시 석남동 577-3석지제사거리게시대A51536.76112126.45362020-09-28<NA>
8788서산시청041-660-3094충청남도 서산시 석남동 577-3석지제사거리게시대B51536.76106126.45352020-09-28<NA>
8889서산시청041-660-3094충청남도 서산시 대산읍 대산리 243-33대산농협하나로마트게시대51536.94201126.432020-09-28<NA>
8990서산시청041-660-3094충청남도 서산시 읍내동 621-3부영아파트삼거리게시대51536.782375126.4432122020-09-28<NA>
9091서산시청041-660-3094충청남도 서산시 예천동 464-3예천주공2단지게시대A51536.771383126.4460672020-09-28<NA>
9192서산시청041-660-3094충청남도 서산시 예천동 464-3예천주공2단지게시대B51536.771383126.4460672020-09-28<NA>
9293서산시청041-660-3094충청남도 서산시 석남동 578-1석지제사거리게시대C51536.760968126.4534092020-09-28<NA>
9394서산시청041-660-3094충청남도 서산시 석림동 954석림주공사거리게시대51536.773132126.4622922020-09-28<NA>
9495서산시청041-660-3094충청남도 서산시 석림동 318-7석림육교게시대C51536.76958126.4723512020-09-28<NA>