Overview

Dataset statistics

Number of variables8
Number of observations1341
Missing cells62
Missing cells (%)0.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory87.9 KiB
Average record size in memory67.1 B

Variable types

Categorical1
Text4
Numeric3

Alerts

소재지우편번호 is highly overall correlated with WGS84위도High correlation
WGS84위도 is highly overall correlated with 소재지우편번호High correlation
설립구분명 is highly imbalanced (97.7%)Imbalance
소재지도로명주소 has 18 (1.3%) missing valuesMissing
WGS84위도 has 16 (1.2%) missing valuesMissing
WGS84경도 has 16 (1.2%) missing valuesMissing
전화번호 has unique valuesUnique
소재지지번주소 has unique valuesUnique

Reproduction

Analysis started2024-04-20 18:04:47.207894
Analysis finished2024-04-20 18:04:49.973969
Duration2.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

설립구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
공립
1338 
사립
 
3

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공립 1338
99.8%
사립 3
 
0.2%

Length

2024-04-21T03:04:50.028993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:04:50.111616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 1338
99.8%
사립 3
 
0.2%

시설명
Text

Distinct1334
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
2024-04-21T03:04:50.299622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length6
Mean length6.4608501
Min length6

Characters and Unicode

Total characters8664
Distinct characters284
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

Unique1327 ?
Unique (%)99.0%

Sample

1st row다산별빛초등학교
2nd row다율초등학교
3rd row원흥초등학교
4th row평택모산초등학교
5th row시흥가온초등학교
ValueCountFrequency (%)
삼성초등학교 2
 
0.1%
탑동초등학교 2
 
0.1%
석천초등학교 2
 
0.1%
오산초등학교 2
 
0.1%
초당초등학교 2
 
0.1%
원일초등학교 2
 
0.1%
상원초등학교 2
 
0.1%
동보초등학교 1
 
0.1%
안산서초등학교 1
 
0.1%
안산광덕초등학교 1
 
0.1%
Other values (1324) 1324
98.7%
2024-04-21T03:04:50.608922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 1372
15.8%
초 1350
15.6%
학 1350
15.6%
등 1341
15.5%
산 93
 
1.1%
양 86
 
1.0%
동 81
 
0.9%
천 76
 
0.9%
성 75
 
0.9%
원 72
 
0.8%
Other values (274) 2768
31.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8664
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 1372
15.8%
초 1350
15.6%
학 1350
15.6%
등 1341
15.5%
산 93
 
1.1%
양 86
 
1.0%
동 81
 
0.9%
천 76
 
0.9%
성 75
 
0.9%
원 72
 
0.8%
Other values (274) 2768
31.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8664
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 1372
15.8%
초 1350
15.6%
학 1350
15.6%
등 1341
15.5%
산 93
 
1.1%
양 86
 
1.0%
동 81
 
0.9%
천 76
 
0.9%
성 75
 
0.9%
원 72
 
0.8%
Other values (274) 2768
31.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8664
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 1372
15.8%
초 1350
15.6%
학 1350
15.6%
등 1341
15.5%
산 93
 
1.1%
양 86
 
1.0%
동 81
 
0.9%
천 76
 
0.9%
성 75
 
0.9%
원 72
 
0.8%
Other values (274) 2768
31.9%

전화번호
Text

UNIQUE 

Distinct1341
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
2024-04-21T03:04:50.813435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length12.1044
Min length3

Characters and Unicode

Total characters16232
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1341 ?
Unique (%)100.0%

Sample

1st row031-540-7500
2nd row031-550-0900
3rd row031-969-5610
4th row031-686-1401
5th row031-364-1700
ValueCountFrequency (%)
031 2
 
0.1%
031-540-7500 1
 
0.1%
031-840-4131 1
 
0.1%
031-262-4962 1
 
0.1%
031-264-9396 1
 
0.1%
031-896-2362 1
 
0.1%
031-487-4550 1
 
0.1%
031-487-5603 1
 
0.1%
070-7097-2204 1
 
0.1%
031-863-7009 1
 
0.1%
Other values (1331) 1331
99.2%
2024-04-21T03:04:51.127413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2743
16.9%
- 2660
16.4%
3 2163
13.3%
1 2092
12.9%
2 1119
6.9%
7 1020
 
6.3%
8 920
 
5.7%
6 898
 
5.5%
9 884
 
5.4%
4 873
 
5.4%
Other values (5) 860
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13563
83.6%
Dash Punctuation 2660
 
16.4%
Other Punctuation 6
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2743
20.2%
3 2163
15.9%
1 2092
15.4%
2 1119
8.3%
7 1020
 
7.5%
8 920
 
6.8%
6 898
 
6.6%
9 884
 
6.5%
4 873
 
6.4%
5 851
 
6.3%
Dash Punctuation
ValueCountFrequency (%)
- 2660
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16232
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2743
16.9%
- 2660
16.4%
3 2163
13.3%
1 2092
12.9%
2 1119
6.9%
7 1020
 
6.3%
8 920
 
5.7%
6 898
 
5.5%
9 884
 
5.4%
4 873
 
5.4%
Other values (5) 860
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16232
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2743
16.9%
- 2660
16.4%
3 2163
13.3%
1 2092
12.9%
2 1119
6.9%
7 1020
 
6.3%
8 920
 
5.7%
6 898
 
5.5%
9 884
 
5.4%
4 873
 
5.4%
Other values (5) 860
 
5.3%

소재지지번주소
Text

UNIQUE 

Distinct1341
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
2024-04-21T03:04:51.389779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length28
Mean length20.829978
Min length11

Characters and Unicode

Total characters27933
Distinct characters283
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

Unique1341 ?
Unique (%)100.0%

Sample

1st row경기도 남양주시 다산동 6112번지
2nd row경기도 파주시 다율동 1011번지
3rd row경기도 고양시 덕양구 원흥동 618번지
4th row경기도 평택시 동삭동
5th row경기도 시흥시 장현동 595번지
ValueCountFrequency (%)
경기도 1341
 
21.4%
화성시 105
 
1.7%
용인시 104
 
1.7%
수원시 99
 
1.6%
고양시 89
 
1.4%
성남시 73
 
1.2%
남양주시 69
 
1.1%
평택시 68
 
1.1%
부천시 64
 
1.0%
파주시 60
 
1.0%
Other values (2013) 4194
66.9%
2024-04-21T03:04:51.761819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4926
17.6%
기 1396
 
5.0%
지 1395
 
5.0%
도 1383
 
5.0%
경 1343
 
4.8%
시 1337
 
4.8%
번 1329
 
4.8%
동 1074
 
3.8%
1 923
 
3.3%
- 590
 
2.1%
Other values (273) 12237
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17606
63.0%
Space Separator 4926
 
17.6%
Decimal Number 4773
 
17.1%
Dash Punctuation 590
 
2.1%
Lowercase Letter 28
 
0.1%
Other Punctuation 4
 
< 0.1%
Uppercase Letter 4
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1396
 
7.9%
지 1395
 
7.9%
도 1383
 
7.9%
경 1343
 
7.6%
시 1337
 
7.6%
번 1329
 
7.5%
동 1074
 
6.1%
구 559
 
3.2%
리 395
 
2.2%
양 368
 
2.1%
Other values (241) 7027
39.9%
Lowercase Letter
ValueCountFrequency (%)
g 4
14.3%
o 4
14.3%
i 3
10.7%
u 3
10.7%
e 3
10.7%
r 2
7.1%
y 2
7.1%
n 2
7.1%
l 1
 
3.6%
a 1
 
3.6%
Other values (3) 3
10.7%
Decimal Number
ValueCountFrequency (%)
1 923
19.3%
2 570
11.9%
5 484
10.1%
3 478
10.0%
7 417
8.7%
6 410
8.6%
4 406
8.5%
8 388
8.1%
0 370
7.8%
9 327
 
6.9%
Uppercase Letter
ValueCountFrequency (%)
J 1
25.0%
K 1
25.0%
G 1
25.0%
S 1
25.0%
Space Separator
ValueCountFrequency (%)
4926
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 590
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17606
63.0%
Common 10295
36.9%
Latin 32
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1396
 
7.9%
지 1395
 
7.9%
도 1383
 
7.9%
경 1343
 
7.6%
시 1337
 
7.6%
번 1329
 
7.5%
동 1074
 
6.1%
구 559
 
3.2%
리 395
 
2.2%
양 368
 
2.1%
Other values (241) 7027
39.9%
Latin
ValueCountFrequency (%)
g 4
12.5%
o 4
12.5%
i 3
9.4%
u 3
9.4%
e 3
9.4%
r 2
 
6.2%
y 2
 
6.2%
n 2
 
6.2%
J 1
 
3.1%
l 1
 
3.1%
Other values (7) 7
21.9%
Common
ValueCountFrequency (%)
4926
47.8%
1 923
 
9.0%
- 590
 
5.7%
2 570
 
5.5%
5 484
 
4.7%
3 478
 
4.6%
7 417
 
4.1%
6 410
 
4.0%
4 406
 
3.9%
8 388
 
3.8%
Other values (5) 703
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17606
63.0%
ASCII 10327
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4926
47.7%
1 923
 
8.9%
- 590
 
5.7%
2 570
 
5.5%
5 484
 
4.7%
3 478
 
4.6%
7 417
 
4.0%
6 410
 
4.0%
4 406
 
3.9%
8 388
 
3.8%
Other values (22) 735
 
7.1%
Hangul
ValueCountFrequency (%)
기 1396
 
7.9%
지 1395
 
7.9%
도 1383
 
7.9%
경 1343
 
7.6%
시 1337
 
7.6%
번 1329
 
7.5%
동 1074
 
6.1%
구 559
 
3.2%
리 395
 
2.2%
양 368
 
2.1%
Other values (241) 7027
39.9%

소재지도로명주소
Text

MISSING 

Distinct1323
Distinct (%)100.0%
Missing18
Missing (%)1.3%
Memory size10.6 KiB
2024-04-21T03:04:52.050404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length19.386243
Min length13

Characters and Unicode

Total characters25648
Distinct characters328
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

Unique1323 ?
Unique (%)100.0%

Sample

1st row경기도 남양주시 다산중앙로82번안길 40
2nd row경기도 파주시 다율로 30
3rd row경기도 고양시 덕양구 원흥1로 26
4th row경기도 평택시 지제동삭1로 175
5th row경기도 시흥시 장현능곡로 33
ValueCountFrequency (%)
경기도 1323
 
21.4%
화성시 105
 
1.7%
용인시 103
 
1.7%
수원시 98
 
1.6%
고양시 87
 
1.4%
성남시 72
 
1.2%
남양주시 68
 
1.1%
평택시 66
 
1.1%
부천시 63
 
1.0%
파주시 60
 
1.0%
Other values (1803) 4137
66.9%
2024-04-21T03:04:52.473061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4859
18.9%
기 1385
 
5.4%
도 1362
 
5.3%
경 1357
 
5.3%
시 1334
 
5.2%
로 1195
 
4.7%
1 863
 
3.4%
2 641
 
2.5%
구 542
 
2.1%
길 537
 
2.1%
Other values (318) 11573
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16214
63.2%
Space Separator 4859
 
18.9%
Decimal Number 4425
 
17.3%
Dash Punctuation 150
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1385
 
8.5%
도 1362
 
8.4%
경 1357
 
8.4%
시 1334
 
8.2%
로 1195
 
7.4%
구 542
 
3.3%
길 537
 
3.3%
번 368
 
2.3%
양 364
 
2.2%
성 267
 
1.6%
Other values (306) 7503
46.3%
Decimal Number
ValueCountFrequency (%)
1 863
19.5%
2 641
14.5%
3 502
11.3%
4 433
9.8%
5 402
9.1%
7 372
8.4%
6 349
7.9%
0 322
 
7.3%
8 284
 
6.4%
9 257
 
5.8%
Space Separator
ValueCountFrequency (%)
4859
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 150
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16214
63.2%
Common 9434
36.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1385
 
8.5%
도 1362
 
8.4%
경 1357
 
8.4%
시 1334
 
8.2%
로 1195
 
7.4%
구 542
 
3.3%
길 537
 
3.3%
번 368
 
2.3%
양 364
 
2.2%
성 267
 
1.6%
Other values (306) 7503
46.3%
Common
ValueCountFrequency (%)
4859
51.5%
1 863
 
9.1%
2 641
 
6.8%
3 502
 
5.3%
4 433
 
4.6%
5 402
 
4.3%
7 372
 
3.9%
6 349
 
3.7%
0 322
 
3.4%
8 284
 
3.0%
Other values (2) 407
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16214
63.2%
ASCII 9434
36.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4859
51.5%
1 863
 
9.1%
2 641
 
6.8%
3 502
 
5.3%
4 433
 
4.6%
5 402
 
4.3%
7 372
 
3.9%
6 349
 
3.7%
0 322
 
3.4%
8 284
 
3.0%
Other values (2) 407
 
4.3%
Hangul
ValueCountFrequency (%)
기 1385
 
8.5%
도 1362
 
8.4%
경 1357
 
8.4%
시 1334
 
8.2%
로 1195
 
7.4%
구 542
 
3.3%
길 537
 
3.3%
번 368
 
2.3%
양 364
 
2.2%
성 267
 
1.6%
Other values (306) 7503
46.3%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct1272
Distinct (%)95.7%
Missing12
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean14376.778
Minimum10003
Maximum18632
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2024-04-21T03:04:52.597238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10003
5-th percentile10305.8
Q112003
median14434
Q316916
95-th percentile18431.6
Maximum18632
Range8629
Interquartile range (IQR)4913

Descriptive statistics

Standard deviation2712.8631
Coefficient of variation (CV)0.18869757
Kurtosis-1.3663035
Mean14376.778
Median Absolute Deviation (MAD)2480
Skewness-0.018574975
Sum19106738
Variance7359626.4
MonotonicityNot monotonic
2024-04-21T03:04:52.706286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10801 3
 
0.2%
15010 3
 
0.2%
16517 3
 
0.2%
10546 2
 
0.1%
12285 2
 
0.1%
17414 2
 
0.1%
18466 2
 
0.1%
16928 2
 
0.1%
18109 2
 
0.1%
10388 2
 
0.1%
Other values (1262) 1306
97.4%
(Missing) 12
 
0.9%
ValueCountFrequency (%)
10003 1
0.1%
10005 1
0.1%
10011 1
0.1%
10016 1
0.1%
10019 1
0.1%
10024 1
0.1%
10026 1
0.1%
10029 1
0.1%
10031 1
0.1%
10032 1
0.1%
ValueCountFrequency (%)
18632 1
0.1%
18627 1
0.1%
18625 1
0.1%
18616 1
0.1%
18613 1
0.1%
18610 1
0.1%
18600 1
0.1%
18599 1
0.1%
18597 1
0.1%
18596 1
0.1%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct1325
Distinct (%)100.0%
Missing16
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean37.4346
Minimum36.919952
Maximum38.183026
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2024-04-21T03:04:52.820583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.919952
5-th percentile37.025542
Q137.267768
median37.390579
Q337.641086
95-th percentile37.859945
Maximum38.183026
Range1.2630739
Interquartile range (IQR)0.37331795

Descriptive statistics

Standard deviation0.24569111
Coefficient of variation (CV)0.0065632091
Kurtosis-0.454451
Mean37.4346
Median Absolute Deviation (MAD)0.17041204
Skewness0.31149159
Sum49600.845
Variance0.060364122
MonotonicityNot monotonic
2024-04-21T03:04:52.933069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.7550295397 1
 
0.1%
37.2366941797 1
 
0.1%
37.2749790214 1
 
0.1%
37.2712975942 1
 
0.1%
37.3364509716 1
 
0.1%
37.3222683021 1
 
0.1%
37.335883496 1
 
0.1%
37.3310188719 1
 
0.1%
37.3331454023 1
 
0.1%
37.4351434842 1
 
0.1%
Other values (1315) 1315
98.1%
(Missing) 16
 
1.2%
ValueCountFrequency (%)
36.9199520563 1
0.1%
36.9359667409 1
0.1%
36.9384943381 1
0.1%
36.9425169656 1
0.1%
36.9441308809 1
0.1%
36.9464595429 1
0.1%
36.950680143 1
0.1%
36.9558270955 1
0.1%
36.9607363289 1
0.1%
36.9629502818 1
0.1%
ValueCountFrequency (%)
38.1830259643 1
0.1%
38.156068936 1
0.1%
38.1357029399 1
0.1%
38.1052314177 1
0.1%
38.0977066453 1
0.1%
38.089869495 1
0.1%
38.0669048575 1
0.1%
38.0562415803 1
0.1%
38.0560352746 1
0.1%
38.0528680687 1
0.1%

WGS84경도
Real number (ℝ)

MISSING 

Distinct1325
Distinct (%)100.0%
Missing16
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean127.03002
Minimum126.55218
Maximum127.75112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2024-04-21T03:04:53.047064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.55218
5-th percentile126.72937
Q1126.84702
median127.04496
Q3127.14404
95-th percentile127.45805
Maximum127.75112
Range1.1989441
Interquartile range (IQR)0.29702303

Descriptive statistics

Standard deviation0.21912706
Coefficient of variation (CV)0.0017250021
Kurtosis0.27907391
Mean127.03002
Median Absolute Deviation (MAD)0.14435677
Skewness0.5452461
Sum168314.78
Variance0.04801667
MonotonicityNot monotonic
2024-04-21T03:04:53.163923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7677080999 1
 
0.1%
127.17046093 1
 
0.1%
127.1286383019 1
 
0.1%
127.1332244254 1
 
0.1%
127.0947854386 1
 
0.1%
127.0807419242 1
 
0.1%
127.1278306806 1
 
0.1%
126.8001651124 1
 
0.1%
126.8440903717 1
 
0.1%
126.7834057497 1
 
0.1%
Other values (1315) 1315
98.1%
(Missing) 16
 
1.2%
ValueCountFrequency (%)
126.5521800784 1
0.1%
126.5535829518 1
0.1%
126.5541698078 1
0.1%
126.5639024239 1
0.1%
126.5755211712 1
0.1%
126.5805398397 1
0.1%
126.5845877142 1
0.1%
126.588394895 1
0.1%
126.5936346185 1
0.1%
126.5937004054 1
0.1%
ValueCountFrequency (%)
127.7511242249 1
0.1%
127.7498537291 1
0.1%
127.7204334785 1
0.1%
127.7137541761 1
0.1%
127.7104075028 1
0.1%
127.7005177945 1
0.1%
127.6806057022 1
0.1%
127.6728595861 1
0.1%
127.6629976338 1
0.1%
127.6478941048 1
0.1%

Interactions

2024-04-21T03:04:49.467277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:04:48.959561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:04:49.232754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:04:49.540998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:04:49.081209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:04:49.308088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:04:49.624395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:04:49.157191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:04:49.386024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T03:04:53.251824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립구분명소재지우편번호WGS84위도WGS84경도
설립구분명1.0000.0740.0000.003
소재지우편번호0.0741.0000.9060.838
WGS84위도0.0000.9061.0000.556
WGS84경도0.0030.8380.5561.000
2024-04-21T03:04:53.350884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도설립구분명
소재지우편번호1.000-0.9210.1820.057
WGS84위도-0.9211.000-0.1770.000
WGS84경도0.182-0.1771.0000.000
설립구분명0.0570.0000.0001.000

Missing values

2024-04-21T03:04:49.728347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T03:04:49.829240image/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.
2024-04-21T03:04:49.921577image/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

설립구분명시설명전화번호소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도
0공립다산별빛초등학교031-540-7500경기도 남양주시 다산동 6112번지경기도 남양주시 다산중앙로82번안길 401224937.617338127.164868
1공립다율초등학교031-550-0900경기도 파주시 다율동 1011번지경기도 파주시 다율로 301086537.738022126.72678
2공립원흥초등학교031-969-5610경기도 고양시 덕양구 원흥동 618번지경기도 고양시 덕양구 원흥1로 261056337.651043126.868772
3공립평택모산초등학교031-686-1401경기도 평택시 동삭동경기도 평택시 지제동삭1로 1751802837.019949127.089952
4공립시흥가온초등학교031-364-1700경기도 시흥시 장현동 595번지경기도 시흥시 장현능곡로 331499637.373736126.794358
5공립김포나진초등학교031-8049-2100경기도 김포시 걸포동 1594번지경기도 김포시 걸포2로 581009937.635831126.70243
6공립김포구래초등학교031-8049-2200경기도 김포시 구래동 6882-16번지경기도 김포시 김포한강9로 771007137.64383126.625459
7공립덕은한강초등학교02-3158-8600경기도 고양시 덕양구 덕은동경기도 고양시 덕양구 대덕산로 551054337.581531126.863606
8공립포담초등학교031-538-0903경기도 포천시 영중면 양문리 878-5번지경기도 포천시 영중면 양문로 1631112938.006953127.245504
9공립석우초등학교031-299-8800경기도 화성시 반송동 20번지경기도 화성시 동탄시범한빛길 321843737.208953127.068105
설립구분명시설명전화번호소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도
1331공립중원초등학교031-743-6480경기도 성남시 중원구 상대원동 153번지경기도 성남시 중원구 사기막골로31번길 461324537.437859127.167863
1332공립연라초등학교031-884-3066경기도 여주시 월송동 313-42번지경기도 여주시 여주남로 1161264537.27733127.61147
1333공립화진초등학교031-832-5366경기도 연천군 군남면 황지리 345-2번지경기도 연천군 군남면 청정로 22891100838.030619127.040297
1334공립구갈초등학교031-283-3096경기도 용인시 기흥구 구갈동 397번지경기도 용인시 기흥구 구갈로 361697337.277963127.111929
1335공립남촌초등학교031-333-4461경기도 용인시 처인구 남사읍 진목리 141-5번지경기도 용인시 처인구 남사읍 천덕산로 3301712437.10172127.137712
1336공립평동초등학교031-515-0109경기도 남양주시 호평동 659번지경기도 남양주시 호평로68번길 161215037.654625127.247743
1337공립나눔초등학교031-423-2984경기도 안양시 동안구 평촌동 109-1번지경기도 안양시 동안구 흥안대로414번길 221406437.390579126.975572
1338공립부천양지초등학교070-7099-0604경기도 부천시 소사구 괴안동 42-17번지경기도 부천시 소사구 안곡로 1301468637.480582126.815512
1339공립용인심곡초등학교031-263-4430경기도 용인시 수지구 상현동 871번지경기도 용인시 수지구 심곡로 591686037.308921127.078965
1340공립백암초등학교수정분교장031-332-4251경기도 용인시 처인구 백암면 가창리 514-3번지경기도 용인시 처인구 백암면 청강가창로105번길 55-121717137.186195127.360453