Overview

Dataset statistics

Number of variables6
Number of observations2947
Missing cells364
Missing cells (%)2.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory144.0 KiB
Average record size in memory50.0 B

Variable types

Text3
DateTime1
Numeric2

Alerts

데이터기준일자 has constant value ""Constant
정제WGS84위도 has 182 (6.2%) missing valuesMissing
정제WGS84경도 has 182 (6.2%) missing valuesMissing

Reproduction

Analysis started2023-12-10 21:38:33.598845
Analysis finished2023-12-10 21:38:35.356551
Duration1.76 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

Distinct2578
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size23.2 KiB
2023-12-11T06:38:35.628392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length6.4458772
Min length1

Characters and Unicode

Total characters18996
Distinct characters587
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2378 ?
Unique (%)80.7%

Sample

1st row수서빌
2nd row정신고시원
3rd row주아빌
4th row이인수고시원(구. 한재경고시원)
5th row드림고시원
ValueCountFrequency (%)
고시원 86
 
2.6%
고시텔 27
 
0.8%
원룸텔 19
 
0.6%
오픈하우스 18
 
0.5%
싱글하우스 16
 
0.5%
삼성리빙텔 11
 
0.3%
리빙텔 11
 
0.3%
해피하우스 8
 
0.2%
삼성고시원 7
 
0.2%
소망고시텔 7
 
0.2%
Other values (2663) 3119
93.7%
2023-12-11T06:38:36.168172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 1642
 
8.6%
고 1618
 
8.5%
원 1329
 
7.0%
텔 943
 
5.0%
스 764
 
4.0%
우 441
 
2.3%
빌 440
 
2.3%
하 438
 
2.3%
리 396
 
2.1%
389
 
2.0%
Other values (577) 10596
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16916
89.1%
Decimal Number 422
 
2.2%
Space Separator 389
 
2.0%
Close Punctuation 369
 
1.9%
Open Punctuation 348
 
1.8%
Uppercase Letter 299
 
1.6%
Other Punctuation 140
 
0.7%
Lowercase Letter 71
 
0.4%
Dash Punctuation 29
 
0.2%
Connector Punctuation 10
 
0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1642
 
9.7%
고 1618
 
9.6%
원 1329
 
7.9%
텔 943
 
5.6%
스 764
 
4.5%
우 441
 
2.6%
빌 440
 
2.6%
하 438
 
2.6%
리 396
 
2.3%
이 281
 
1.7%
Other values (508) 8624
51.0%
Uppercase Letter
ValueCountFrequency (%)
A 45
15.1%
B 38
12.7%
S 32
10.7%
J 18
 
6.0%
M 18
 
6.0%
C 17
 
5.7%
G 16
 
5.4%
P 13
 
4.3%
K 13
 
4.3%
E 12
 
4.0%
Other values (14) 77
25.8%
Lowercase Letter
ValueCountFrequency (%)
e 15
21.1%
s 9
12.7%
u 6
 
8.5%
a 6
 
8.5%
j 5
 
7.0%
o 5
 
7.0%
h 4
 
5.6%
n 3
 
4.2%
b 3
 
4.2%
c 3
 
4.2%
Other values (9) 12
16.9%
Decimal Number
ValueCountFrequency (%)
2 108
25.6%
1 102
24.2%
3 52
12.3%
0 38
 
9.0%
4 35
 
8.3%
6 23
 
5.5%
5 23
 
5.5%
7 22
 
5.2%
9 10
 
2.4%
8 9
 
2.1%
Other Punctuation
ValueCountFrequency (%)
, 61
43.6%
. 61
43.6%
& 7
 
5.0%
: 6
 
4.3%
/ 3
 
2.1%
* 1
 
0.7%
@ 1
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 364
98.6%
] 5
 
1.4%
Open Punctuation
ValueCountFrequency (%)
( 343
98.6%
[ 5
 
1.4%
Space Separator
ValueCountFrequency (%)
389
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 10
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16916
89.1%
Common 1708
 
9.0%
Latin 372
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1642
 
9.7%
고 1618
 
9.6%
원 1329
 
7.9%
텔 943
 
5.6%
스 764
 
4.5%
우 441
 
2.6%
빌 440
 
2.6%
하 438
 
2.6%
리 396
 
2.3%
이 281
 
1.7%
Other values (508) 8624
51.0%
Latin
ValueCountFrequency (%)
A 45
 
12.1%
B 38
 
10.2%
S 32
 
8.6%
J 18
 
4.8%
M 18
 
4.8%
C 17
 
4.6%
G 16
 
4.3%
e 15
 
4.0%
P 13
 
3.5%
K 13
 
3.5%
Other values (34) 147
39.5%
Common
ValueCountFrequency (%)
389
22.8%
) 364
21.3%
( 343
20.1%
2 108
 
6.3%
1 102
 
6.0%
, 61
 
3.6%
. 61
 
3.6%
3 52
 
3.0%
0 38
 
2.2%
4 35
 
2.0%
Other values (15) 155
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16916
89.1%
ASCII 2078
 
10.9%
Number Forms 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 1642
 
9.7%
고 1618
 
9.6%
원 1329
 
7.9%
텔 943
 
5.6%
스 764
 
4.5%
우 441
 
2.6%
빌 440
 
2.6%
하 438
 
2.6%
리 396
 
2.3%
이 281
 
1.7%
Other values (508) 8624
51.0%
ASCII
ValueCountFrequency (%)
389
18.7%
) 364
17.5%
( 343
16.5%
2 108
 
5.2%
1 102
 
4.9%
, 61
 
2.9%
. 61
 
2.9%
3 52
 
2.5%
A 45
 
2.2%
B 38
 
1.8%
Other values (58) 515
24.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

소재지지번주소
Text

Distinct2906
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size23.2 KiB
2023-12-11T06:38:36.506119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length42
Mean length25.820495
Min length17

Characters and Unicode

Total characters76093
Distinct characters311
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2871 ?
Unique (%)97.4%

Sample

1st row경기도 수원시 영통구 신동 352-1번지
2nd row경기도 수원시 영통구 신동 363-0번지 2~7층
3rd row경기도 수원시 영통구 신동 366-8번지
4th row경기도 수원시 영통구 신동 384-12번지
5th row경기도 수원시 영통구 신동 384-20번지 384-20외1필지
ValueCountFrequency (%)
경기도 2947
 
18.6%
수원시 513
 
3.2%
화성시 275
 
1.7%
영통구 274
 
1.7%
성남시 272
 
1.7%
안산시 237
 
1.5%
부천시 231
 
1.5%
파주시 202
 
1.3%
용인시 188
 
1.2%
오산시 173
 
1.1%
Other values (3635) 10520
66.4%
2023-12-11T06:38:37.094855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12892
 
16.9%
지 3792
 
5.0%
시 3098
 
4.1%
기 3015
 
4.0%
도 2999
 
3.9%
번 2962
 
3.9%
경 2950
 
3.9%
- 2918
 
3.8%
1 2839
 
3.7%
동 2720
 
3.6%
Other values (301) 35908
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42562
55.9%
Decimal Number 16463
 
21.6%
Space Separator 12892
 
16.9%
Dash Punctuation 2918
 
3.8%
Other Punctuation 687
 
0.9%
Math Symbol 401
 
0.5%
Close Punctuation 75
 
0.1%
Open Punctuation 74
 
0.1%
Uppercase Letter 21
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 3792
 
8.9%
시 3098
 
7.3%
기 3015
 
7.1%
도 2999
 
7.0%
번 2962
 
7.0%
경 2950
 
6.9%
동 2720
 
6.4%
구 1735
 
4.1%
층 1562
 
3.7%
원 1095
 
2.6%
Other values (276) 16634
39.1%
Decimal Number
ValueCountFrequency (%)
1 2839
17.2%
2 2156
13.1%
3 2132
13.0%
4 1794
10.9%
5 1540
9.4%
0 1418
8.6%
6 1354
8.2%
7 1243
7.6%
8 1097
 
6.7%
9 890
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
S 5
23.8%
B 4
19.0%
P 3
14.3%
A 3
14.3%
C 2
 
9.5%
G 2
 
9.5%
L 2
 
9.5%
Other Punctuation
ValueCountFrequency (%)
, 636
92.6%
. 50
 
7.3%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
12892
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2918
100.0%
Math Symbol
ValueCountFrequency (%)
~ 401
100.0%
Close Punctuation
ValueCountFrequency (%)
) 75
100.0%
Open Punctuation
ValueCountFrequency (%)
( 74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42562
55.9%
Common 33510
44.0%
Latin 21
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 3792
 
8.9%
시 3098
 
7.3%
기 3015
 
7.1%
도 2999
 
7.0%
번 2962
 
7.0%
경 2950
 
6.9%
동 2720
 
6.4%
구 1735
 
4.1%
층 1562
 
3.7%
원 1095
 
2.6%
Other values (276) 16634
39.1%
Common
ValueCountFrequency (%)
12892
38.5%
- 2918
 
8.7%
1 2839
 
8.5%
2 2156
 
6.4%
3 2132
 
6.4%
4 1794
 
5.4%
5 1540
 
4.6%
0 1418
 
4.2%
6 1354
 
4.0%
7 1243
 
3.7%
Other values (8) 3224
 
9.6%
Latin
ValueCountFrequency (%)
S 5
23.8%
B 4
19.0%
P 3
14.3%
A 3
14.3%
C 2
 
9.5%
G 2
 
9.5%
L 2
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42562
55.9%
ASCII 33531
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12892
38.4%
- 2918
 
8.7%
1 2839
 
8.5%
2 2156
 
6.4%
3 2132
 
6.4%
4 1794
 
5.4%
5 1540
 
4.6%
0 1418
 
4.2%
6 1354
 
4.0%
7 1243
 
3.7%
Other values (15) 3245
 
9.7%
Hangul
ValueCountFrequency (%)
지 3792
 
8.9%
시 3098
 
7.3%
기 3015
 
7.1%
도 2999
 
7.0%
번 2962
 
7.0%
경 2950
 
6.9%
동 2720
 
6.4%
구 1735
 
4.1%
층 1562
 
3.7%
원 1095
 
2.6%
Other values (276) 16634
39.1%

소재지도로명주소
Text

Distinct2850
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size23.2 KiB
2023-12-11T06:38:37.408131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length42
Mean length24.284357
Min length11

Characters and Unicode

Total characters71566
Distinct characters497
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2779 ?
Unique (%)94.3%

Sample

1st row경기도 수원시 영통로 259-0
2nd row경기도 수원시 영통로 277-10 2~7층
3rd row경기도 수원시 신원로 182-1
4th row경기도 수원시 신원로 171-1 신동 가필지
5th row경기도 수원시 신원로 171-6
ValueCountFrequency (%)
경기도 2947
 
20.1%
수원시 513
 
3.5%
화성시 275
 
1.9%
성남시 272
 
1.9%
안산시 237
 
1.6%
부천시 231
 
1.6%
파주시 202
 
1.4%
용인시 188
 
1.3%
오산시 175
 
1.2%
시흥시 154
 
1.1%
Other values (3679) 9449
64.5%
2023-12-11T06:38:37.833797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12558
 
17.5%
시 3246
 
4.5%
경 3052
 
4.3%
도 3020
 
4.2%
기 2976
 
4.2%
0 2930
 
4.1%
1 2898
 
4.0%
- 2895
 
4.0%
로 2660
 
3.7%
2 2100
 
2.9%
Other values (487) 33231
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38965
54.4%
Decimal Number 15907
22.2%
Space Separator 12558
 
17.5%
Dash Punctuation 2895
 
4.0%
Other Punctuation 684
 
1.0%
Math Symbol 287
 
0.4%
Uppercase Letter 159
 
0.2%
Close Punctuation 52
 
0.1%
Open Punctuation 51
 
0.1%
Letter Number 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 3246
 
8.3%
경 3052
 
7.8%
도 3020
 
7.8%
기 2976
 
7.6%
로 2660
 
6.8%
길 1689
 
4.3%
층 1296
 
3.3%
번 1272
 
3.3%
원 904
 
2.3%
성 786
 
2.0%
Other values (438) 18064
46.4%
Uppercase Letter
ValueCountFrequency (%)
I 23
14.5%
A 21
13.2%
S 12
 
7.5%
L 10
 
6.3%
P 10
 
6.3%
N 9
 
5.7%
E 9
 
5.7%
B 8
 
5.0%
T 7
 
4.4%
Z 7
 
4.4%
Other values (13) 43
27.0%
Decimal Number
ValueCountFrequency (%)
0 2930
18.4%
1 2898
18.2%
2 2100
13.2%
3 1854
11.7%
4 1529
9.6%
5 1172
 
7.4%
6 1036
 
6.5%
7 926
 
5.8%
8 759
 
4.8%
9 703
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 619
90.5%
. 59
 
8.6%
/ 3
 
0.4%
: 2
 
0.3%
& 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 3
60.0%
Ⅱ 1
 
20.0%
Ⅲ 1
 
20.0%
Lowercase Letter
ValueCountFrequency (%)
j 1
33.3%
u 1
33.3%
r 1
33.3%
Space Separator
ValueCountFrequency (%)
12558
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2895
100.0%
Math Symbol
ValueCountFrequency (%)
~ 287
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38965
54.4%
Common 32434
45.3%
Latin 167
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 3246
 
8.3%
경 3052
 
7.8%
도 3020
 
7.8%
기 2976
 
7.6%
로 2660
 
6.8%
길 1689
 
4.3%
층 1296
 
3.3%
번 1272
 
3.3%
원 904
 
2.3%
성 786
 
2.0%
Other values (438) 18064
46.4%
Latin
ValueCountFrequency (%)
I 23
13.8%
A 21
12.6%
S 12
 
7.2%
L 10
 
6.0%
P 10
 
6.0%
N 9
 
5.4%
E 9
 
5.4%
B 8
 
4.8%
T 7
 
4.2%
Z 7
 
4.2%
Other values (19) 51
30.5%
Common
ValueCountFrequency (%)
12558
38.7%
0 2930
 
9.0%
1 2898
 
8.9%
- 2895
 
8.9%
2 2100
 
6.5%
3 1854
 
5.7%
4 1529
 
4.7%
5 1172
 
3.6%
6 1036
 
3.2%
7 926
 
2.9%
Other values (10) 2536
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38965
54.4%
ASCII 32596
45.5%
Number Forms 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12558
38.5%
0 2930
 
9.0%
1 2898
 
8.9%
- 2895
 
8.9%
2 2100
 
6.4%
3 1854
 
5.7%
4 1529
 
4.7%
5 1172
 
3.6%
6 1036
 
3.2%
7 926
 
2.8%
Other values (36) 2698
 
8.3%
Hangul
ValueCountFrequency (%)
시 3246
 
8.3%
경 3052
 
7.8%
도 3020
 
7.8%
기 2976
 
7.6%
로 2660
 
6.8%
길 1689
 
4.3%
층 1296
 
3.3%
번 1272
 
3.3%
원 904
 
2.3%
성 786
 
2.0%
Other values (438) 18064
46.4%
Number Forms
ValueCountFrequency (%)
Ⅰ 3
60.0%
Ⅱ 1
 
20.0%
Ⅲ 1
 
20.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size23.2 KiB
Minimum2022-07-22 00:00:00
Maximum2022-07-22 00:00:00
2023-12-11T06:38:37.965047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:38:38.064679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

정제WGS84위도
Real number (ℝ)

MISSING 

Distinct2566
Distinct (%)92.8%
Missing182
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean37.38255
Minimum36.963544
Maximum37.987888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.0 KiB
2023-12-11T06:38:38.207069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.963544
5-th percentile37.144849
Q137.254803
median37.331964
Q337.482643
95-th percentile37.806375
Maximum37.987888
Range1.0243443
Interquartile range (IQR)0.22783931

Descriptive statistics

Standard deviation0.19182089
Coefficient of variation (CV)0.0051312949
Kurtosis0.30176887
Mean37.38255
Median Absolute Deviation (MAD)0.10249139
Skewness0.87694468
Sum103362.75
Variance0.036795252
MonotonicityNot monotonic
2023-12-11T06:38:38.348256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.3528771127 7
 
0.2%
37.3237100771 6
 
0.2%
37.323501 5
 
0.2%
37.7666104335 4
 
0.1%
37.2157035001 4
 
0.1%
37.323928954 4
 
0.1%
37.325834253 4
 
0.1%
37.0409471496 3
 
0.1%
37.3262568977 3
 
0.1%
37.3240305753 3
 
0.1%
Other values (2556) 2722
92.4%
(Missing) 182
 
6.2%
ValueCountFrequency (%)
36.963544108 1
< 0.1%
36.9824021079 1
< 0.1%
36.9843961511 1
< 0.1%
36.9876200139 1
< 0.1%
36.9883879597 1
< 0.1%
36.988499113 1
< 0.1%
36.9886320908 1
< 0.1%
36.9888462523 1
< 0.1%
36.9896607597 1
< 0.1%
36.9902771783 1
< 0.1%
ValueCountFrequency (%)
37.9878884286 1
< 0.1%
37.9870578818 1
< 0.1%
37.9581465642 1
< 0.1%
37.9558654465 1
< 0.1%
37.9551227172 1
< 0.1%
37.9551116802 1
< 0.1%
37.9464870352 1
< 0.1%
37.9406589078 1
< 0.1%
37.9144236177 1
< 0.1%
37.9116504136 1
< 0.1%

정제WGS84경도
Real number (ℝ)

MISSING 

Distinct2566
Distinct (%)92.8%
Missing182
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean126.97614
Minimum126.58296
Maximum127.63836
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.0 KiB
2023-12-11T06:38:38.497202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.58296
5-th percentile126.74849
Q1126.81605
median127.01816
Q3127.0749
95-th percentile127.19554
Maximum127.63836
Range1.0554083
Interquartile range (IQR)0.25884577

Descriptive statistics

Standard deviation0.15975227
Coefficient of variation (CV)0.0012581283
Kurtosis0.16364874
Mean126.97614
Median Absolute Deviation (MAD)0.11154114
Skewness0.2624505
Sum351089.02
Variance0.025520789
MonotonicityNot monotonic
2023-12-11T06:38:38.652738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.9464767254 7
 
0.2%
127.1235001033 6
 
0.2%
127.1229480878 5
 
0.2%
126.7733843271 4
 
0.1%
127.0436653299 4
 
0.1%
127.1243003864 4
 
0.1%
127.1253631902 4
 
0.1%
126.9388090388 3
 
0.1%
127.1250450468 3
 
0.1%
127.1250786827 3
 
0.1%
Other values (2556) 2722
92.4%
(Missing) 182
 
6.2%
ValueCountFrequency (%)
126.5829559918 1
< 0.1%
126.5836485279 1
< 0.1%
126.5855969115 1
< 0.1%
126.6250481619 1
< 0.1%
126.634591487 1
< 0.1%
126.6749818937 1
< 0.1%
126.6868945814 1
< 0.1%
126.6873454893 1
< 0.1%
126.6877623929 1
< 0.1%
126.6880407278 1
< 0.1%
ValueCountFrequency (%)
127.6383643017 1
< 0.1%
127.637560186 1
< 0.1%
127.6355890297 1
< 0.1%
127.6343265848 1
< 0.1%
127.6340862467 1
< 0.1%
127.632817761 1
< 0.1%
127.6296692326 1
< 0.1%
127.5606547729 1
< 0.1%
127.5603362863 1
< 0.1%
127.5601086998 1
< 0.1%

Interactions

2023-12-11T06:38:34.847356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:38:34.671520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:38:34.952586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:38:34.757066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:38:38.784455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정제WGS84위도정제WGS84경도
정제WGS84위도1.0000.778
정제WGS84경도0.7781.000
2023-12-11T06:38:38.885623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정제WGS84위도정제WGS84경도
정제WGS84위도1.000-0.218
정제WGS84경도-0.2181.000

Missing values

2023-12-11T06:38:35.081470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:38:35.179421image/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.
2023-12-11T06:38:35.282330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

업체명소재지지번주소소재지도로명주소데이터기준일자정제WGS84위도정제WGS84경도
0수서빌경기도 수원시 영통구 신동 352-1번지경기도 수원시 영통로 259-02022-07-2237.250256127.058522
1정신고시원경기도 수원시 영통구 신동 363-0번지 2~7층경기도 수원시 영통로 277-10 2~7층2022-07-2237.251784127.059787
2주아빌경기도 수원시 영통구 신동 366-8번지경기도 수원시 신원로 182-12022-07-2237.252208127.059627
3이인수고시원(구. 한재경고시원)경기도 수원시 영통구 신동 384-12번지경기도 수원시 신원로 171-1 신동 가필지2022-07-2237.251537127.058582
4드림고시원경기도 수원시 영통구 신동 384-20번지 384-20외1필지경기도 수원시 신원로 171-62022-07-2237.252031127.058229
5다빈치빌고시원경기도 수원시 영통구 신동 384-34번지경기도 수원시 신원로 175-1 고시원2022-07-2237.25197127.058726
6리치하우스경기도 수원시 영통구 신동 384-43번지 1~7층경기도 수원시 신원로 173-3 고시원 1~7층2022-07-2237.251888127.058591
7삼성타운104동(구,박미정고시원)경기도 수원시 영통구 신동 384-6번지 1~8층경기도 수원시 신원로 171-4 1~8층2022-07-2237.251806127.058321
8해오름빌 B경기도 수원시 영통구 신동 398-38번지경기도 수원시 신원로 105-6 고시원2022-07-2237.24829127.053324
9해오름빌 C경기도 수원시 영통구 신동 398-4번지경기도 수원시 신원로 105-8 고시원2022-07-2237.248389127.053256
업체명소재지지번주소소재지도로명주소데이터기준일자정제WGS84위도정제WGS84경도
2937윤영희 고시원경기도 파주시 월롱면 덕은리 1035-0번지경기도 파주시 엘지로 200-02022-07-2237.812442126.777866
2938힐링고시텔 3호경기도 파주시 금촌동 369-37번지 3층경기도 파주시 경의로 1783-0 3층2022-07-2237.76661126.773384
2939청기와리빙텔경기도 파주시 금촌동 72-24번지경기도 파주시 금정16길 13-0 금조장여관2022-07-2237.760448126.775227
2940에이스드림앤하우스경기도 파주시 금촌동 765-17번지경기도 파주시 금정로 42-22022-07-2237.759036126.775808
2941영원룸텔경기도 파주시 금촌동 772-9번지경기도 파주시 문화로 45-02022-07-2237.758628126.776811
2942스타블루밍경기도 파주시 금촌동 776-6번지경기도 파주시 금정4길 43-7 득수빌딩 2~5층2022-07-2237.757618126.778138
2943태하원A동경기도 파주시 금촌동 800-6번지경기도 파주시 황골로 80-0 태하원A동 2~4층2022-07-2237.755217126.777662
2944비앙코원룸텔경기도 파주시 금촌동 802-3번지경기도 파주시 황골로 54-0 오성빌딩2022-07-2237.755136126.774757
2945금촌주택경기도 파주시 금촌동 933-14번지경기도 파주시 동산길 9-02022-07-2237.758852126.76926
2946대원오피스경기도 파주시 금촌동 937-38번지 지상2,3,4,5층경기도 파주시 동산7길 14-02022-07-2237.760215126.771165