Overview

Dataset statistics

Number of variables9
Number of observations2480
Missing cells102
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory181.8 KiB
Average record size in memory75.1 B

Variable types

Categorical2
Text4
Numeric3

Alerts

소재지우편번호 is highly overall correlated with WGS84위도High correlation
WGS84위도 is highly overall correlated with 소재지우편번호High correlation
공사립구분명 is highly imbalanced (56.0%)Imbalance
소재지도로명주소 has 28 (1.1%) missing valuesMissing
WGS84위도 has 26 (1.0%) missing valuesMissing
WGS84경도 has 26 (1.0%) missing valuesMissing

Reproduction

Analysis started2024-04-20 18:06:07.835900
Analysis finished2024-04-20 18:06:10.898694
Duration3.06 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학교구분명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.5 KiB
초등학교
1341 
중학교
654 
고등학교
485 

Length

Max length4
Median length4
Mean length3.7362903
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
초등학교 1341
54.1%
중학교 654
26.4%
고등학교 485
 
19.6%

Length

2024-04-21T03:06:10.956745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:06:11.036755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
초등학교 1341
54.1%
중학교 654
26.4%
고등학교 485
 
19.6%

공사립구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.5 KiB
공립
2254 
사립
226 

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 2254
90.9%
사립 226
 
9.1%

Length

2024-04-21T03:06:11.118027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:06:11.191380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 2254
90.9%
사립 226
 
9.1%

시설명
Text

Distinct2473
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size19.5 KiB
2024-04-21T03:06:11.386424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length6
Mean length6.2395161
Min length5

Characters and Unicode

Total characters15474
Distinct characters334
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2466 ?
Unique (%)99.4%

Sample

1st row다산별빛초등학교
2nd row다율초등학교
3rd row원흥초등학교
4th row평택모산초등학교
5th row시흥가온초등학교
ValueCountFrequency (%)
오산초등학교 2
 
0.1%
상원초등학교 2
 
0.1%
석천초등학교 2
 
0.1%
원일초등학교 2
 
0.1%
삼성초등학교 2
 
0.1%
초당초등학교 2
 
0.1%
탑동초등학교 2
 
0.1%
범박중학교 1
 
< 0.1%
솔개초등학교 1
 
< 0.1%
조남중학교 1
 
< 0.1%
Other values (2464) 2464
99.3%
2024-04-21T03:06:11.696700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 2525
16.3%
학 2510
16.2%
등 1826
 
11.8%
초 1356
 
8.8%
중 703
 
4.5%
고 535
 
3.5%
산 161
 
1.0%
양 155
 
1.0%
동 152
 
1.0%
천 141
 
0.9%
Other values (324) 5410
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15455
99.9%
Lowercase Letter 14
 
0.1%
Uppercase Letter 4
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 2525
16.3%
학 2510
16.2%
등 1826
 
11.8%
초 1356
 
8.8%
중 703
 
4.5%
고 535
 
3.5%
산 161
 
1.0%
양 155
 
1.0%
동 152
 
1.0%
천 141
 
0.9%
Other values (311) 5391
34.9%
Lowercase Letter
ValueCountFrequency (%)
s 4
28.6%
i 2
14.3%
e 2
14.3%
n 2
14.3%
g 1
 
7.1%
l 1
 
7.1%
u 1
 
7.1%
h 1
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
E 1
25.0%
I 1
25.0%
T 1
25.0%
B 1
25.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15455
99.9%
Latin 18
 
0.1%
Common 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 2525
16.3%
학 2510
16.2%
등 1826
 
11.8%
초 1356
 
8.8%
중 703
 
4.5%
고 535
 
3.5%
산 161
 
1.0%
양 155
 
1.0%
동 152
 
1.0%
천 141
 
0.9%
Other values (311) 5391
34.9%
Latin
ValueCountFrequency (%)
s 4
22.2%
i 2
11.1%
e 2
11.1%
n 2
11.1%
E 1
 
5.6%
I 1
 
5.6%
g 1
 
5.6%
l 1
 
5.6%
T 1
 
5.6%
u 1
 
5.6%
Other values (2) 2
11.1%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15455
99.9%
ASCII 19
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 2525
16.3%
학 2510
16.2%
등 1826
 
11.8%
초 1356
 
8.8%
중 703
 
4.5%
고 535
 
3.5%
산 161
 
1.0%
양 155
 
1.0%
동 152
 
1.0%
천 141
 
0.9%
Other values (311) 5391
34.9%
ASCII
ValueCountFrequency (%)
s 4
21.1%
i 2
10.5%
e 2
10.5%
n 2
10.5%
1
 
5.3%
E 1
 
5.3%
I 1
 
5.3%
g 1
 
5.3%
l 1
 
5.3%
T 1
 
5.3%
Other values (3) 3
15.8%

전화번호
Text

Distinct2472
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size19.5 KiB
2024-04-21T03:06:11.905179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length12.122984
Min length3

Characters and Unicode

Total characters30065
Distinct characters16
Distinct categories7 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2464 ?
Unique (%)99.4%

Sample

1st row031-540-7500
2nd row031-550-0900
3rd row031-969-5610
4th row031-686-1401
5th row031-364-1700
ValueCountFrequency (%)
031-326-0010 2
 
0.1%
031-641-0664 2
 
0.1%
031-352-8429 2
 
0.1%
031-8046-0110 2
 
0.1%
032-886-4272 2
 
0.1%
031 2
 
0.1%
031-641-6038 2
 
0.1%
031-773-1032 2
 
0.1%
031-589-8900 2
 
0.1%
031-8077-5700 1
 
< 0.1%
Other values (2462) 2462
99.2%
2024-04-21T03:06:12.224474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5420
18.0%
- 4928
16.4%
3 3962
13.2%
1 3893
12.9%
2 2036
 
6.8%
7 1813
 
6.0%
8 1718
 
5.7%
9 1603
 
5.3%
6 1586
 
5.3%
5 1584
 
5.3%
Other values (6) 1522
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 25116
83.5%
Dash Punctuation 4928
 
16.4%
Other Punctuation 12
 
< 0.1%
Math Symbol 4
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5420
21.6%
3 3962
15.8%
1 3893
15.5%
2 2036
 
8.1%
7 1813
 
7.2%
8 1718
 
6.8%
9 1603
 
6.4%
6 1586
 
6.3%
5 1584
 
6.3%
4 1501
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 4928
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30065
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5420
18.0%
- 4928
16.4%
3 3962
13.2%
1 3893
12.9%
2 2036
 
6.8%
7 1813
 
6.0%
8 1718
 
5.7%
9 1603
 
5.3%
6 1586
 
5.3%
5 1584
 
5.3%
Other values (6) 1522
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30065
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5420
18.0%
- 4928
16.4%
3 3962
13.2%
1 3893
12.9%
2 2036
 
6.8%
7 1813
 
6.0%
8 1718
 
5.7%
9 1603
 
5.3%
6 1586
 
5.3%
5 1584
 
5.3%
Other values (6) 1522
 
5.1%

소재지지번주소
Text

Distinct2368
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size19.5 KiB
2024-04-21T03:06:12.490400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length28
Mean length20.792339
Min length11

Characters and Unicode

Total characters51565
Distinct characters289
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

Unique2265 ?
Unique (%)91.3%

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 2480
 
21.4%
수원시 200
 
1.7%
용인시 186
 
1.6%
화성시 179
 
1.5%
고양시 171
 
1.5%
성남시 155
 
1.3%
남양주시 126
 
1.1%
부천시 125
 
1.1%
평택시 114
 
1.0%
안산시 109
 
0.9%
Other values (2824) 7731
66.8%
2024-04-21T03:06:12.878862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9101
17.6%
기 2577
 
5.0%
지 2577
 
5.0%
도 2547
 
4.9%
경 2483
 
4.8%
시 2478
 
4.8%
번 2458
 
4.8%
동 2057
 
4.0%
1 1758
 
3.4%
구 1090
 
2.1%
Other values (279) 22439
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32540
63.1%
Space Separator 9101
 
17.6%
Decimal Number 8804
 
17.1%
Dash Punctuation 1082
 
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 2577
 
7.9%
지 2577
 
7.9%
도 2547
 
7.8%
경 2483
 
7.6%
시 2478
 
7.6%
번 2458
 
7.6%
동 2057
 
6.3%
구 1090
 
3.3%
양 699
 
2.1%
리 665
 
2.0%
Other values (247) 12909
39.7%
Lowercase Letter
ValueCountFrequency (%)
o 4
14.3%
g 4
14.3%
u 3
10.7%
e 3
10.7%
i 3
10.7%
n 2
7.1%
r 2
7.1%
y 2
7.1%
l 1
 
3.6%
h 1
 
3.6%
Other values (3) 3
10.7%
Decimal Number
ValueCountFrequency (%)
1 1758
20.0%
2 1012
11.5%
5 905
10.3%
3 860
9.8%
4 777
8.8%
6 777
8.8%
7 750
8.5%
8 710
8.1%
0 669
 
7.6%
9 586
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
G 1
25.0%
J 1
25.0%
S 1
25.0%
K 1
25.0%
Space Separator
ValueCountFrequency (%)
9101
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1082
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 32540
63.1%
Common 18993
36.8%
Latin 32
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2577
 
7.9%
지 2577
 
7.9%
도 2547
 
7.8%
경 2483
 
7.6%
시 2478
 
7.6%
번 2458
 
7.6%
동 2057
 
6.3%
구 1090
 
3.3%
양 699
 
2.1%
리 665
 
2.0%
Other values (247) 12909
39.7%
Latin
ValueCountFrequency (%)
o 4
12.5%
g 4
12.5%
u 3
9.4%
e 3
9.4%
i 3
9.4%
n 2
 
6.2%
r 2
 
6.2%
y 2
 
6.2%
G 1
 
3.1%
J 1
 
3.1%
Other values (7) 7
21.9%
Common
ValueCountFrequency (%)
9101
47.9%
1 1758
 
9.3%
- 1082
 
5.7%
2 1012
 
5.3%
5 905
 
4.8%
3 860
 
4.5%
4 777
 
4.1%
6 777
 
4.1%
7 750
 
3.9%
8 710
 
3.7%
Other values (5) 1261
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32540
63.1%
ASCII 19025
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9101
47.8%
1 1758
 
9.2%
- 1082
 
5.7%
2 1012
 
5.3%
5 905
 
4.8%
3 860
 
4.5%
4 777
 
4.1%
6 777
 
4.1%
7 750
 
3.9%
8 710
 
3.7%
Other values (22) 1293
 
6.8%
Hangul
ValueCountFrequency (%)
기 2577
 
7.9%
지 2577
 
7.9%
도 2547
 
7.8%
경 2483
 
7.6%
시 2478
 
7.6%
번 2458
 
7.6%
동 2057
 
6.3%
구 1090
 
3.3%
양 699
 
2.1%
리 665
 
2.0%
Other values (247) 12909
39.7%

소재지도로명주소
Text

MISSING 

Distinct2353
Distinct (%)96.0%
Missing28
Missing (%)1.1%
Memory size19.5 KiB
2024-04-21T03:06:13.166439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length19.336052
Min length13

Characters and Unicode

Total characters47412
Distinct characters359
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

Unique2261 ?
Unique (%)92.2%

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 2452
 
21.4%
수원시 199
 
1.7%
용인시 184
 
1.6%
화성시 178
 
1.6%
고양시 166
 
1.4%
성남시 154
 
1.3%
남양주시 123
 
1.1%
부천시 123
 
1.1%
평택시 111
 
1.0%
안산시 108
 
0.9%
Other values (2516) 7655
66.8%
2024-04-21T03:06:13.591924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9001
19.0%
기 2562
 
5.4%
도 2525
 
5.3%
경 2510
 
5.3%
시 2482
 
5.2%
로 2233
 
4.7%
1 1631
 
3.4%
2 1170
 
2.5%
구 1070
 
2.3%
3 940
 
2.0%
Other values (349) 21288
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29944
63.2%
Space Separator 9001
 
19.0%
Decimal Number 8181
 
17.3%
Dash Punctuation 286
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2562
 
8.6%
도 2525
 
8.4%
경 2510
 
8.4%
시 2482
 
8.3%
로 2233
 
7.5%
구 1070
 
3.6%
길 940
 
3.1%
양 678
 
2.3%
번 646
 
2.2%
안 501
 
1.7%
Other values (337) 13797
46.1%
Decimal Number
ValueCountFrequency (%)
1 1631
19.9%
2 1170
14.3%
3 940
11.5%
4 777
9.5%
5 776
9.5%
7 672
8.2%
6 640
 
7.8%
0 565
 
6.9%
8 530
 
6.5%
9 480
 
5.9%
Space Separator
ValueCountFrequency (%)
9001
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 286
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29944
63.2%
Common 17468
36.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2562
 
8.6%
도 2525
 
8.4%
경 2510
 
8.4%
시 2482
 
8.3%
로 2233
 
7.5%
구 1070
 
3.6%
길 940
 
3.1%
양 678
 
2.3%
번 646
 
2.2%
안 501
 
1.7%
Other values (337) 13797
46.1%
Common
ValueCountFrequency (%)
9001
51.5%
1 1631
 
9.3%
2 1170
 
6.7%
3 940
 
5.4%
4 777
 
4.4%
5 776
 
4.4%
7 672
 
3.8%
6 640
 
3.7%
0 565
 
3.2%
8 530
 
3.0%
Other values (2) 766
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29944
63.2%
ASCII 17468
36.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9001
51.5%
1 1631
 
9.3%
2 1170
 
6.7%
3 940
 
5.4%
4 777
 
4.4%
5 776
 
4.4%
7 672
 
3.8%
6 640
 
3.7%
0 565
 
3.2%
8 530
 
3.0%
Other values (2) 766
 
4.4%
Hangul
ValueCountFrequency (%)
기 2562
 
8.6%
도 2525
 
8.4%
경 2510
 
8.4%
시 2482
 
8.3%
로 2233
 
7.5%
구 1070
 
3.6%
길 940
 
3.1%
양 678
 
2.3%
번 646
 
2.2%
안 501
 
1.7%
Other values (337) 13797
46.1%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct1710
Distinct (%)69.6%
Missing22
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean14337.757
Minimum10003
Maximum18632
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.9 KiB
2024-04-21T03:06:13.713447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10003
5-th percentile10305
Q112029
median14329.5
Q316827
95-th percentile18408
Maximum18632
Range8629
Interquartile range (IQR)4798

Descriptive statistics

Standard deviation2663.5471
Coefficient of variation (CV)0.18577153
Kurtosis-1.3184365
Mean14337.757
Median Absolute Deviation (MAD)2384
Skewness-0.012242276
Sum35242207
Variance7094483.3
MonotonicityNot monotonic
2024-04-21T03:06:13.820697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13370 7
 
0.3%
16254 6
 
0.2%
10801 6
 
0.2%
14774 5
 
0.2%
11314 5
 
0.2%
15002 5
 
0.2%
16293 5
 
0.2%
15010 5
 
0.2%
15819 5
 
0.2%
12285 5
 
0.2%
Other values (1700) 2404
96.9%
(Missing) 22
 
0.9%
ValueCountFrequency (%)
10003 1
 
< 0.1%
10005 1
 
< 0.1%
10011 3
0.1%
10016 1
 
< 0.1%
10019 1
 
< 0.1%
10023 1
 
< 0.1%
10024 2
0.1%
10026 1
 
< 0.1%
10029 1
 
< 0.1%
10031 3
0.1%
ValueCountFrequency (%)
18632 2
0.1%
18627 1
< 0.1%
18625 1
< 0.1%
18616 1
< 0.1%
18613 1
< 0.1%
18611 2
0.1%
18610 1
< 0.1%
18601 1
< 0.1%
18600 2
0.1%
18599 2
0.1%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct2355
Distinct (%)96.0%
Missing26
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean37.436353
Minimum36.919952
Maximum38.183026
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.9 KiB
2024-04-21T03:06:13.926322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.919952
5-th percentile37.050139
Q137.275002
median37.392471
Q337.634684
95-th percentile37.846199
Maximum38.183026
Range1.2630739
Interquartile range (IQR)0.35968139

Descriptive statistics

Standard deviation0.23894958
Coefficient of variation (CV)0.006382822
Kurtosis-0.35895889
Mean37.436353
Median Absolute Deviation (MAD)0.15412147
Skewness0.33124444
Sum91868.81
Variance0.0570969
MonotonicityNot monotonic
2024-04-21T03:06:14.039541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.7468240687 5
 
0.2%
36.9978850245 4
 
0.2%
37.087698935 3
 
0.1%
37.4201701325 3
 
0.1%
37.0814901222 2
 
0.1%
37.8520318841 2
 
0.1%
37.772611055 2
 
0.1%
37.945570416 2
 
0.1%
37.1360665474 2
 
0.1%
37.6560257329 2
 
0.1%
Other values (2345) 2427
97.9%
(Missing) 26
 
1.0%
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%
36.9448733701 1
< 0.1%
36.9464595429 1
< 0.1%
36.950680143 1
< 0.1%
36.9558270955 1
< 0.1%
36.9607363289 1
< 0.1%
ValueCountFrequency (%)
38.1830259643 2
0.1%
38.1580445835 2
0.1%
38.156068936 1
< 0.1%
38.1357029399 1
< 0.1%
38.1070784001 2
0.1%
38.1052314177 1
< 0.1%
38.0977066453 1
< 0.1%
38.0936402007 1
< 0.1%
38.089869495 1
< 0.1%
38.0860668544 1
< 0.1%

WGS84경도
Real number (ℝ)

MISSING 

Distinct2355
Distinct (%)96.0%
Missing26
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean127.02812
Minimum126.55218
Maximum127.75564
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.9 KiB
2024-04-21T03:06:14.337435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.55218
5-th percentile126.73192
Q1126.84738
median127.04246
Q3127.14127
95-th percentile127.45867
Maximum127.75564
Range1.2034641
Interquartile range (IQR)0.2938976

Descriptive statistics

Standard deviation0.21769412
Coefficient of variation (CV)0.0017137474
Kurtosis0.38726934
Mean127.02812
Median Absolute Deviation (MAD)0.14227572
Skewness0.59289621
Sum311727.02
Variance0.047390729
MonotonicityNot monotonic
2024-04-21T03:06:14.454246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0236699068 5
 
0.2%
127.0960046328 4
 
0.2%
127.5425097566 3
 
0.1%
127.2639238617 3
 
0.1%
126.9516625704 2
 
0.1%
126.802555221 2
 
0.1%
126.7628906695 2
 
0.1%
126.8854950764 2
 
0.1%
127.518904011 2
 
0.1%
127.3068836368 2
 
0.1%
Other values (2345) 2427
97.9%
(Missing) 26
 
1.0%
ValueCountFrequency (%)
126.5521800784 1
< 0.1%
126.5529658366 1
< 0.1%
126.5535829518 1
< 0.1%
126.5541698078 1
< 0.1%
126.5639024239 1
< 0.1%
126.5675452515 1
< 0.1%
126.5755211712 1
< 0.1%
126.5790592929 2
0.1%
126.5805398397 1
< 0.1%
126.5837243594 1
< 0.1%
ValueCountFrequency (%)
127.7556441846 2
0.1%
127.7511242249 1
< 0.1%
127.7498537291 1
< 0.1%
127.7204334785 1
< 0.1%
127.7137541761 1
< 0.1%
127.71245331 1
< 0.1%
127.7114410955 2
0.1%
127.7104075028 1
< 0.1%
127.7005177945 1
< 0.1%
127.6834954453 2
0.1%

Interactions

2024-04-21T03:06:10.323556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:06:09.823970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:06:10.092176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:06:10.401576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:06:09.941307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:06:10.165371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:06:10.509285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:06:10.016195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:06:10.241921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T03:06:14.531255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학교구분명공사립구분명소재지우편번호WGS84위도WGS84경도
학교구분명1.0000.2300.0000.0000.000
공사립구분명0.2301.0000.0830.1180.144
소재지우편번호0.0000.0831.0000.9080.842
WGS84위도0.0000.1180.9081.0000.574
WGS84경도0.0000.1440.8420.5741.000
2024-04-21T03:06:14.615709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공사립구분명학교구분명
공사립구분명1.0000.376
학교구분명0.3761.000
2024-04-21T03:06:14.686249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도학교구분명공사립구분명
소재지우편번호1.000-0.9210.1800.0000.064
WGS84위도-0.9211.000-0.1840.0000.090
WGS84경도0.180-0.1841.0000.0000.110
학교구분명0.0000.0000.0001.0000.376
공사립구분명0.0640.0900.1100.3761.000

Missing values

2024-04-21T03:06:10.635901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T03:06:10.750961image/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.
2024-04-21T03:06:10.844890image/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

학교구분명공사립구분명시설명전화번호소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도
0초등학교공립다산별빛초등학교031-540-7500경기도 남양주시 다산동 6112번지경기도 남양주시 다산중앙로82번안길 401224937.617338127.164868
1초등학교공립다율초등학교031-550-0900경기도 파주시 다율동 1011번지경기도 파주시 다율로 301086537.738022126.72678
2초등학교공립원흥초등학교031-969-5610경기도 고양시 덕양구 원흥동 618번지경기도 고양시 덕양구 원흥1로 261056337.651043126.868772
3초등학교공립평택모산초등학교031-686-1401경기도 평택시 동삭동경기도 평택시 지제동삭1로 1751802837.019949127.089952
4초등학교공립시흥가온초등학교031-364-1700경기도 시흥시 장현동 595번지경기도 시흥시 장현능곡로 331499637.373736126.794358
5초등학교공립김포나진초등학교031-8049-2100경기도 김포시 걸포동 1594번지경기도 김포시 걸포2로 581009937.635831126.70243
6초등학교공립김포구래초등학교031-8049-2200경기도 김포시 구래동 6882-16번지경기도 김포시 김포한강9로 771007137.64383126.625459
7초등학교공립덕은한강초등학교02-3158-8600경기도 고양시 덕양구 덕은동경기도 고양시 덕양구 대덕산로 551054337.581531126.863606
8초등학교공립포담초등학교031-538-0903경기도 포천시 영중면 양문리 878-5번지경기도 포천시 영중면 양문로 1631112938.006953127.245504
9초등학교공립석우초등학교031-299-8800경기도 화성시 반송동 20번지경기도 화성시 동탄시범한빛길 321843737.208953127.068105
학교구분명공사립구분명시설명전화번호소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도
2470고등학교공립처인고등학교031-724-2100경기도 용인시 처인구 남사읍 아곡리 706번지경기도 용인시 처인구 남사읍 한숲로 321711737.151258127.170325
2471고등학교공립신원고등학교02-3146-8600경기도 고양시 덕양구 신원동 602번지경기도 고양시 덕양구 통일로 3911056737.668399126.886949
2472고등학교공립이솔고등학교031-899-5911경기도 화성시 동탄대로 7길 10<NA><NA><NA><NA>
2473고등학교사립용문고등학교031-773-3533경기도 양평군 용문면 마룡리 663-2번지경기도 양평군 용문면 용문로 4371251537.49187127.598835
2474고등학교공립용인고등학교031-330-8309경기도 용인시 처인구 역북동 444-1번지경기도 용인시 처인구 금학로253번길 20-211704637.240559127.193083
2475고등학교사립덕영고등학교031-329-4300경기도 용인시 처인구 고림동 737-1번지경기도 용인시 처인구 고림로74번길 151715137.241671127.216045
2476고등학교공립용호고등학교031-390-4464경기도 군포시 당동 875번지경기도 군포시 용호2로 101587637.341856126.939355
2477고등학교사립우성고등학교031-3619-200경기도 의왕시 고천동 496번지경기도 의왕시 오전로 371606237.349291126.980669
2478고등학교공립원곡고등학교031-8085-0008경기도 안산시 단원구 원곡동 965-1번지경기도 안산시 단원구 화랑로 151536437.332858126.798681
2479고등학교공립원미고등학교032-722-6200경기도 부천시 원미구 중동 1098번지경기도 부천시 원미구 옥산로 481457537.498207126.782736