Overview

Dataset statistics

Number of variables9
Number of observations58
Missing cells1
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory77.3 B

Variable types

Numeric3
Text4
Categorical1
DateTime1

Dataset

Description강원도 강릉시에 소재하고 있는 건축사사무소현황으로 건축사사무소명, 연락처, 주소, 위도, 경도 등의 정보를 제공하고 있습니다.
URLhttps://www.data.go.kr/data/15062071/fileData.do

Alerts

관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 has 1 (1.7%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:53:07.603831
Analysis finished2023-12-12 07:53:09.221350
Duration1.62 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.5
Minimum1
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2023-12-12T16:53:09.315175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.85
Q115.25
median29.5
Q343.75
95-th percentile55.15
Maximum58
Range57
Interquartile range (IQR)28.5

Descriptive statistics

Standard deviation16.886879
Coefficient of variation (CV)0.57243656
Kurtosis-1.2
Mean29.5
Median Absolute Deviation (MAD)14.5
Skewness0
Sum1711
Variance285.16667
MonotonicityStrictly increasing
2023-12-12T16:53:09.498452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.7%
45 1
 
1.7%
33 1
 
1.7%
34 1
 
1.7%
35 1
 
1.7%
36 1
 
1.7%
37 1
 
1.7%
38 1
 
1.7%
39 1
 
1.7%
40 1
 
1.7%
Other values (48) 48
82.8%
ValueCountFrequency (%)
1 1
1.7%
2 1
1.7%
3 1
1.7%
4 1
1.7%
5 1
1.7%
6 1
1.7%
7 1
1.7%
8 1
1.7%
9 1
1.7%
10 1
1.7%
ValueCountFrequency (%)
58 1
1.7%
57 1
1.7%
56 1
1.7%
55 1
1.7%
54 1
1.7%
53 1
1.7%
52 1
1.7%
51 1
1.7%
50 1
1.7%
49 1
1.7%
Distinct55
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size596.0 B
2023-12-12T16:53:09.795629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length9.4655172
Min length7

Characters and Unicode

Total characters549
Distinct characters88
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

Unique52 ?
Unique (%)89.7%

Sample

1st row(주)종합건축사사무소시공
2nd rowA4건축사사무소
3rd row동화건축사사무소
4th row건축사사무소아트.원
5th row기린건축사사무소
ValueCountFrequency (%)
건축사사무소 6
 
9.2%
주)종합건축사사무소시공 2
 
3.1%
앤탑건축사사무소 2
 
3.1%
디자인플러스건축사사무소 2
 
3.1%
건축사사무소천지원 1
 
1.5%
건축사사무소아트.원 1
 
1.5%
기린건축사사무소 1
 
1.5%
건축사사무소이룸 1
 
1.5%
아트피아전찬흥건축사사무소 1
 
1.5%
솔건축사사무소 1
 
1.5%
Other values (47) 47
72.3%
2023-12-12T16:53:10.193182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
116
21.1%
59
 
10.7%
59
 
10.7%
59
 
10.7%
58
 
10.6%
12
 
2.2%
9
 
1.6%
7
 
1.3%
7
 
1.3%
6
 
1.1%
Other values (78) 157
28.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 519
94.5%
Space Separator 12
 
2.2%
Open Punctuation 4
 
0.7%
Close Punctuation 4
 
0.7%
Uppercase Letter 4
 
0.7%
Other Punctuation 3
 
0.5%
Other Symbol 2
 
0.4%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
116
22.4%
59
11.4%
59
11.4%
59
11.4%
58
11.2%
9
 
1.7%
7
 
1.3%
7
 
1.3%
6
 
1.2%
6
 
1.2%
Other values (68) 133
25.6%
Uppercase Letter
ValueCountFrequency (%)
S 2
50.0%
A 1
25.0%
D 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
' 1
33.3%
Space Separator
ValueCountFrequency (%)
12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%
Decimal Number
ValueCountFrequency (%)
4 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 521
94.9%
Common 24
 
4.4%
Latin 4
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
116
22.3%
59
11.3%
59
11.3%
59
11.3%
58
11.1%
9
 
1.7%
7
 
1.3%
7
 
1.3%
6
 
1.2%
6
 
1.2%
Other values (69) 135
25.9%
Common
ValueCountFrequency (%)
12
50.0%
( 4
 
16.7%
) 4
 
16.7%
. 2
 
8.3%
' 1
 
4.2%
4 1
 
4.2%
Latin
ValueCountFrequency (%)
S 2
50.0%
A 1
25.0%
D 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 519
94.5%
ASCII 28
 
5.1%
None 2
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
116
22.4%
59
11.4%
59
11.4%
59
11.4%
58
11.2%
9
 
1.7%
7
 
1.3%
7
 
1.3%
6
 
1.2%
6
 
1.2%
Other values (68) 133
25.6%
ASCII
ValueCountFrequency (%)
12
42.9%
( 4
 
14.3%
) 4
 
14.3%
. 2
 
7.1%
S 2
 
7.1%
' 1
 
3.6%
4 1
 
3.6%
A 1
 
3.6%
D 1
 
3.6%
None
ValueCountFrequency (%)
2
100.0%
Distinct51
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Memory size596.0 B
2023-12-12T16:53:10.523267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length33
Mean length28.534483
Min length22

Characters and Unicode

Total characters1655
Distinct characters88
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

Unique45 ?
Unique (%)77.6%

Sample

1st row강원특별자치도 강릉시 강릉대로194번길 12(임당동)
2nd row강원특별자치도 강릉시 하슬라로 30(홍제동)
3rd row강원특별자치도 강릉시 강릉대로 82, 2층(홍제동, 유림빌딩)
4th row강원특별자치도 강릉시 화부산로 12-3, 2층(교동)
5th row강원특별자치도 강릉시 강릉대로 88, 2층
ValueCountFrequency (%)
강원특별자치도 58
20.8%
강릉시 58
20.8%
강릉대로 10
 
3.6%
선수촌로 4
 
1.4%
경강로 4
 
1.4%
화부산로 4
 
1.4%
2층(교동 4
 
1.4%
4층(유천동 3
 
1.1%
2층(포남동 3
 
1.1%
12-3 3
 
1.1%
Other values (102) 128
45.9%
2023-12-12T16:53:10.990146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
224
 
13.5%
139
 
8.4%
71
 
4.3%
1 63
 
3.8%
61
 
3.7%
59
 
3.6%
58
 
3.5%
58
 
3.5%
58
 
3.5%
58
 
3.5%
Other values (78) 806
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1024
61.9%
Decimal Number 244
 
14.7%
Space Separator 224
 
13.5%
Close Punctuation 53
 
3.2%
Open Punctuation 53
 
3.2%
Other Punctuation 45
 
2.7%
Dash Punctuation 12
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
139
 
13.6%
71
 
6.9%
61
 
6.0%
59
 
5.8%
58
 
5.7%
58
 
5.7%
58
 
5.7%
58
 
5.7%
58
 
5.7%
54
 
5.3%
Other values (63) 350
34.2%
Decimal Number
ValueCountFrequency (%)
1 63
25.8%
2 50
20.5%
3 38
15.6%
4 22
 
9.0%
0 18
 
7.4%
5 16
 
6.6%
9 12
 
4.9%
8 10
 
4.1%
6 8
 
3.3%
7 7
 
2.9%
Space Separator
ValueCountFrequency (%)
224
100.0%
Close Punctuation
ValueCountFrequency (%)
) 53
100.0%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%
Other Punctuation
ValueCountFrequency (%)
, 45
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1024
61.9%
Common 631
38.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
139
 
13.6%
71
 
6.9%
61
 
6.0%
59
 
5.8%
58
 
5.7%
58
 
5.7%
58
 
5.7%
58
 
5.7%
58
 
5.7%
54
 
5.3%
Other values (63) 350
34.2%
Common
ValueCountFrequency (%)
224
35.5%
1 63
 
10.0%
) 53
 
8.4%
( 53
 
8.4%
2 50
 
7.9%
, 45
 
7.1%
3 38
 
6.0%
4 22
 
3.5%
0 18
 
2.9%
5 16
 
2.5%
Other values (5) 49
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1024
61.9%
ASCII 631
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
224
35.5%
1 63
 
10.0%
) 53
 
8.4%
( 53
 
8.4%
2 50
 
7.9%
, 45
 
7.1%
3 38
 
6.0%
4 22
 
3.5%
0 18
 
2.9%
5 16
 
2.5%
Other values (5) 49
 
7.8%
Hangul
ValueCountFrequency (%)
139
 
13.6%
71
 
6.9%
61
 
6.0%
59
 
5.8%
58
 
5.7%
58
 
5.7%
58
 
5.7%
58
 
5.7%
58
 
5.7%
54
 
5.3%
Other values (63) 350
34.2%
Distinct47
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
2023-12-12T16:53:11.245408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length20.810345
Min length18

Characters and Unicode

Total characters1207
Distinct characters45
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

Unique37 ?
Unique (%)63.8%

Sample

1st row강원특별자치도 강릉시 임당동 12-14
2nd row강원특별자치도 강릉시 홍제동 989-10
3rd row강원특별자치도 강릉시 홍제동 998-7
4th row강원특별자치도 강릉시 교동 928-22
5th row강원특별자치도 강릉시 홍제동 998-5
ValueCountFrequency (%)
강원특별자치도 58
24.9%
강릉시 58
24.9%
교동 19
 
8.2%
포남동 11
 
4.7%
홍제동 5
 
2.1%
임당동 5
 
2.1%
용강동 4
 
1.7%
유천동 4
 
1.7%
옥천동 3
 
1.3%
756-2 3
 
1.3%
Other values (52) 63
27.0%
2023-12-12T16:53:11.639346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
175
 
14.5%
120
 
9.9%
58
 
4.8%
58
 
4.8%
58
 
4.8%
58
 
4.8%
58
 
4.8%
58
 
4.8%
58
 
4.8%
58
 
4.8%
Other values (35) 448
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 738
61.1%
Decimal Number 245
 
20.3%
Space Separator 175
 
14.5%
Dash Punctuation 49
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
120
16.3%
58
7.9%
58
7.9%
58
7.9%
58
7.9%
58
7.9%
58
7.9%
58
7.9%
58
7.9%
57
7.7%
Other values (23) 97
13.1%
Decimal Number
ValueCountFrequency (%)
1 53
21.6%
2 40
16.3%
9 32
13.1%
5 22
9.0%
8 20
 
8.2%
4 19
 
7.8%
7 18
 
7.3%
6 17
 
6.9%
3 14
 
5.7%
0 10
 
4.1%
Space Separator
ValueCountFrequency (%)
175
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 738
61.1%
Common 469
38.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
120
16.3%
58
7.9%
58
7.9%
58
7.9%
58
7.9%
58
7.9%
58
7.9%
58
7.9%
58
7.9%
57
7.7%
Other values (23) 97
13.1%
Common
ValueCountFrequency (%)
175
37.3%
1 53
 
11.3%
- 49
 
10.4%
2 40
 
8.5%
9 32
 
6.8%
5 22
 
4.7%
8 20
 
4.3%
4 19
 
4.1%
7 18
 
3.8%
6 17
 
3.6%
Other values (2) 24
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 738
61.1%
ASCII 469
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
175
37.3%
1 53
 
11.3%
- 49
 
10.4%
2 40
 
8.5%
9 32
 
6.8%
5 22
 
4.7%
8 20
 
4.3%
4 19
 
4.1%
7 18
 
3.8%
6 17
 
3.6%
Other values (2) 24
 
5.1%
Hangul
ValueCountFrequency (%)
120
16.3%
58
7.9%
58
7.9%
58
7.9%
58
7.9%
58
7.9%
58
7.9%
58
7.9%
58
7.9%
57
7.7%
Other values (23) 97
13.1%

위도
Real number (ℝ)

Distinct47
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.7602
Minimum37.741612
Maximum37.786421
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2023-12-12T16:53:11.801781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.741612
5-th percentile37.750849
Q137.755126
median37.757744
Q337.764568
95-th percentile37.772565
Maximum37.786421
Range0.04480877
Interquartile range (IQR)0.0094426925

Descriptive statistics

Standard deviation0.0080607492
Coefficient of variation (CV)0.0002134721
Kurtosis0.99384702
Mean37.7602
Median Absolute Deviation (MAD)0.00391288
Skewness0.6465234
Sum2190.0916
Variance6.4975677 × 10-5
MonotonicityNot monotonic
2023-12-12T16:53:11.934511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
37.76280982 3
 
5.2%
37.75749335 2
 
3.4%
37.75693576 2
 
3.4%
37.74614118 2
 
3.4%
37.77242244 2
 
3.4%
37.75646844 2
 
3.4%
37.75587754 2
 
3.4%
37.75168006 2
 
3.4%
37.75817668 2
 
3.4%
37.77126744 2
 
3.4%
Other values (37) 37
63.8%
ValueCountFrequency (%)
37.7416119 1
1.7%
37.74614118 2
3.4%
37.75168006 2
3.4%
37.75188275 1
1.7%
37.75333578 1
1.7%
37.75373881 1
1.7%
37.75395698 1
1.7%
37.7540883 1
1.7%
37.75433651 1
1.7%
37.75455909 1
1.7%
ValueCountFrequency (%)
37.78642067 1
1.7%
37.77435134 1
1.7%
37.77337156 1
1.7%
37.77242244 2
3.4%
37.77226437 1
1.7%
37.77126744 2
3.4%
37.77066851 1
1.7%
37.7703346 1
1.7%
37.76932996 1
1.7%
37.7672795 1
1.7%

경도
Real number (ℝ)

Distinct47
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.89031
Minimum128.85598
Maximum128.92048
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2023-12-12T16:53:12.063276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.85598
5-th percentile128.87038
Q1128.8819
median128.88672
Q3128.90059
95-th percentile128.90998
Maximum128.92048
Range0.064495
Interquartile range (IQR)0.018687775

Descriptive statistics

Standard deviation0.013121223
Coefficient of variation (CV)0.00010180147
Kurtosis0.13034793
Mean128.89031
Median Absolute Deviation (MAD)0.00623375
Skewness0.20428581
Sum7475.6379
Variance0.00017216651
MonotonicityNot monotonic
2023-12-12T16:53:12.207702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
128.8703836 3
 
5.2%
128.8932731 2
 
3.4%
128.8851755 2
 
3.4%
128.8860228 2
 
3.4%
128.9010207 2
 
3.4%
128.8857308 2
 
3.4%
128.8819021 2
 
3.4%
128.8901402 2
 
3.4%
128.8866724 2
 
3.4%
128.9204774 2
 
3.4%
Other values (37) 37
63.8%
ValueCountFrequency (%)
128.8559824 1
 
1.7%
128.8703836 3
5.2%
128.8704296 1
 
1.7%
128.8729402 1
 
1.7%
128.8754182 1
 
1.7%
128.8785591 1
 
1.7%
128.879742 1
 
1.7%
128.8808885 1
 
1.7%
128.8810822 1
 
1.7%
128.8811774 1
 
1.7%
ValueCountFrequency (%)
128.9204774 2
3.4%
128.9145539 1
1.7%
128.9091747 1
1.7%
128.9090792 1
1.7%
128.9090343 1
1.7%
128.9076534 1
1.7%
128.9068263 1
1.7%
128.9063494 1
1.7%
128.9054513 1
1.7%
128.9041027 1
1.7%

전화번호
Text

MISSING 

Distinct52
Distinct (%)91.2%
Missing1
Missing (%)1.7%
Memory size596.0 B
2023-12-12T16:53:12.433780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters684
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

Unique48 ?
Unique (%)84.2%

Sample

1st row033-645-1087
2nd row033-644-0607
3rd row033-645-5471
4th row033-653-8111
5th row033-647-3379
ValueCountFrequency (%)
033-648-7262 3
 
5.3%
033-645-1087 2
 
3.5%
033-652-9088 2
 
3.5%
033-648-1300 2
 
3.5%
033-645-7658 1
 
1.8%
033-651-9680 1
 
1.8%
033-645-5667 1
 
1.8%
033-647-3379 1
 
1.8%
033-651-0917 1
 
1.8%
033-645-6003 1
 
1.8%
Other values (42) 42
73.7%
2023-12-12T16:53:12.779470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 141
20.6%
- 114
16.7%
0 94
13.7%
6 89
13.0%
4 55
 
8.0%
1 49
 
7.2%
5 41
 
6.0%
7 32
 
4.7%
2 28
 
4.1%
8 23
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 570
83.3%
Dash Punctuation 114
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 141
24.7%
0 94
16.5%
6 89
15.6%
4 55
 
9.6%
1 49
 
8.6%
5 41
 
7.2%
7 32
 
5.6%
2 28
 
4.9%
8 23
 
4.0%
9 18
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 684
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 141
20.6%
- 114
16.7%
0 94
13.7%
6 89
13.0%
4 55
 
8.0%
1 49
 
7.2%
5 41
 
6.0%
7 32
 
4.7%
2 28
 
4.1%
8 23
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 684
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 141
20.6%
- 114
16.7%
0 94
13.7%
6 89
13.0%
4 55
 
8.0%
1 49
 
7.2%
5 41
 
6.0%
7 32
 
4.7%
2 28
 
4.1%
8 23
 
3.4%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
강원특별자치도 강릉시청
58 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강원특별자치도 강릉시청
2nd row강원특별자치도 강릉시청
3rd row강원특별자치도 강릉시청
4th row강원특별자치도 강릉시청
5th row강원특별자치도 강릉시청

Common Values

ValueCountFrequency (%)
강원특별자치도 강릉시청 58
100.0%

Length

2023-12-12T16:53:12.962324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:53:13.050987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원특별자치도 58
50.0%
강릉시청 58
50.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
Minimum2023-08-28 00:00:00
Maximum2023-08-28 00:00:00
2023-12-12T16:53:13.129352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:53:13.237085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T16:53:08.723348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:53:08.156772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:53:08.456687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:53:08.816242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:53:08.267652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:53:08.552494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:53:08.911837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:53:08.354479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:53:08.630837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:53:13.302852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번건축사사무소명소재지도로명주소지번주소위도경도전화번호
연번1.0000.7970.0000.0000.0000.3210.579
건축사사무소명0.7971.0000.9971.0001.0001.0000.997
소재지도로명주소0.0000.9971.0001.0001.0001.0000.998
지번주소0.0001.0001.0001.0001.0001.0001.000
위도0.0001.0001.0001.0001.0000.8351.000
경도0.3211.0001.0001.0000.8351.0001.000
전화번호0.5790.9970.9981.0001.0001.0001.000
2023-12-12T16:53:13.394853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.000-0.196-0.057
위도-0.1961.0000.342
경도-0.0570.3421.000

Missing values

2023-12-12T16:53:09.029022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:53:09.159094image/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

연번건축사사무소명소재지도로명주소지번주소위도경도전화번호관리기관명데이터기준일자
01(주)종합건축사사무소시공강원특별자치도 강릉시 강릉대로194번길 12(임당동)강원특별자치도 강릉시 임당동 12-1437.757493128.893273033-645-1087강원특별자치도 강릉시청2023-08-28
12A4건축사사무소강원특별자치도 강릉시 하슬라로 30(홍제동)강원특별자치도 강릉시 홍제동 989-1037.75522128.878559033-644-0607강원특별자치도 강릉시청2023-08-28
23동화건축사사무소강원특별자치도 강릉시 강릉대로 82, 2층(홍제동, 유림빌딩)강원특별자치도 강릉시 홍제동 998-737.753739128.880888033-645-5471강원특별자치도 강릉시청2023-08-28
34건축사사무소아트.원강원특별자치도 강릉시 화부산로 12-3, 2층(교동)강원특별자치도 강릉시 교동 928-2237.758177128.886672033-653-8111강원특별자치도 강릉시청2023-08-28
45기린건축사사무소강원특별자치도 강릉시 강릉대로 88, 2층강원특별자치도 강릉시 홍제동 998-537.753957128.881177033-647-3379강원특별자치도 강릉시청2023-08-28
56김용기 건축사사무소강원특별자치도 강릉시 강릉대로 135, 2층(교동,한영개발)강원특별자치도 강릉시 교동 962-737.756926128.885364033-641-3665강원특별자치도 강릉시청2023-08-28
67영건축사사무소강원특별자치도 강릉시 경강로 2379, 201호(송정동)강원특별자치도 강릉시 송정동 827-2037.771267128.920477033-642-2296강원특별자치도 강릉시청2023-08-28
78비전건축사사무소강원특별자치도 강릉시 옥가로 12-3, 3층(옥천동)강원특별자치도 강릉시 옥천동 160-137.757457128.899297033-641-7999강원특별자치도 강릉시청2023-08-28
89김영래건축사사무소강원특별자치도 강릉시 동부시장길 45, 2층강원특별자치도 강릉시 옥천동 317-537.762137128.901206033-646-0923강원특별자치도 강릉시청2023-08-28
910앤탑건축사사무소강원특별자치도 강릉시 강릉대로 133, 4층(교동,성웅빌딩)강원특별자치도 강릉시 교동 962-1237.756936128.885176033-651-3213강원특별자치도 강릉시청2023-08-28
연번건축사사무소명소재지도로명주소지번주소위도경도전화번호관리기관명데이터기준일자
4849건축사사무소 예인강원특별자치도 강릉시 홍제로85번길 9-1(홍제동)강원특별자치도 강릉시 홍제동 222-1837.754337128.882925033-646-6505강원특별자치도 강릉시청2023-08-28
4950코아건축사사무소강원특별자치도 강릉시 성산면 장안길 25강원특별자치도 강릉시 성산면 금산리 101137.741612128.855982033-645-5701강원특별자치도 강릉시청2023-08-28
5051켄트건축사사무소강원특별자치도 강릉시 임영로 219(교동)강원특별자치도 강릉시 교동 898-437.760816128.891909033-645-0210강원특별자치도 강릉시청2023-08-28
5152지.인 건축사사무소강원특별자치도 강릉시 하슬라로 119, 1층 2호(교동)강원특별자치도 강릉시 교동 1911-337.760835128.87294033-646-7217강원특별자치도 강릉시청2023-08-28
5253홍'S건축사사무소강원특별자치도 강릉시 경강로 2379, 201호(송정동)강원특별자치도 강릉시 송정동 827-2037.771267128.920477033-644-7056강원특별자치도 강릉시청2023-08-28
5354㈜건축사사무소 디앤에이강원특별자치도 강릉시 강릉대로 116, 4층강원특별자치도 강릉시 교동 943-337.755496128.883661033-645-7658강원특별자치도 강릉시청2023-08-28
5455한미기술단 건축사사무소강원특별자치도 강릉시 임영로155번길 6(용강동)강원특별자치도 강릉시 용강동 2937.755094128.890799033-641-0940강원특별자치도 강릉시청2023-08-28
5556황기원건축사사무소강원특별자치도 강릉시 경강로 2050, 2층(명주동)강원특별자치도 강릉시 명주동 37-137.751883128.892542033-645-5667강원특별자치도 강릉시청2023-08-28
5657건축사사무소강릉강원특별자치도 강릉시 강변로 156, 2층(내곡동)강원특별자치도 강릉시 내곡동 456-137.746141128.886023033-641-8009강원특별자치도 강릉시청2023-08-28
5758하슬라 건축사사무소강원특별자치도 강릉시 수문길 12, 1층(옥천동)강원특별자치도 강릉시 옥천동 53-237.754747128.902467<NA>강원특별자치도 강릉시청2023-08-28