Overview

Dataset statistics

Number of variables10
Number of observations777
Missing cells426
Missing cells (%)5.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory63.9 KiB
Average record size in memory84.2 B

Variable types

DateTime1
Categorical1
Text4
Numeric4

Alerts

집계일자 has constant value ""Constant
소재지우편번호 is highly overall correlated with WGS84위도 and 1 other fieldsHigh correlation
WGS84위도 is highly overall correlated with 소재지우편번호 and 1 other fieldsHigh correlation
WGS84경도 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 소재지우편번호 and 2 other fieldsHigh correlation
소재지우편번호 has 20 (2.6%) missing valuesMissing
소재지지번주소 has 134 (17.2%) missing valuesMissing
WGS84위도 has 134 (17.2%) missing valuesMissing
WGS84경도 has 134 (17.2%) missing valuesMissing
소재지도로명주소 has unique valuesUnique

Reproduction

Analysis started2024-03-13 00:00:44.381227
Analysis finished2024-03-13 00:00:46.504327
Duration2.12 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

집계일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
Minimum2023-12-31 00:00:00
Maximum2023-12-31 00:00:00
2024-03-13T09:00:46.539906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:00:46.607769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
안산시
64 
수원시
64 
남양주시
62 
부천시
57 
성남시
49 
Other values (26)
481 

Length

Max length4
Median length3
Mean length3.1338481
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가평군
2nd row가평군
3rd row가평군
4th row가평군
5th row고양시

Common Values

ValueCountFrequency (%)
안산시 64
 
8.2%
수원시 64
 
8.2%
남양주시 62
 
8.0%
부천시 57
 
7.3%
성남시 49
 
6.3%
평택시 37
 
4.8%
시흥시 35
 
4.5%
용인시 34
 
4.4%
화성시 33
 
4.2%
고양시 31
 
4.0%
Other values (21) 311
40.0%

Length

2024-03-13T09:00:46.693994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
안산시 64
 
8.2%
수원시 64
 
8.2%
남양주시 62
 
8.0%
부천시 57
 
7.3%
성남시 49
 
6.3%
평택시 37
 
4.8%
시흥시 35
 
4.5%
용인시 34
 
4.4%
화성시 33
 
4.2%
고양시 31
 
4.0%
Other values (21) 311
40.0%

시설명
Text

Distinct700
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2024-03-13T09:00:46.868680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length9.7207207
Min length2

Characters and Unicode

Total characters7553
Distinct characters407
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

Unique645 ?
Unique (%)83.0%

Sample

1st row경기도 또래지역아동센터
2nd row경기도 청평지역아동센터
3rd row경기도 설악지역아동센터
4th row경기도 가평지역아동센터
5th row맑은샘지역아동센터
ValueCountFrequency (%)
지역아동센터 44
 
5.1%
희망지역아동센터 4
 
0.5%
lh행복꿈터 4
 
0.5%
경기도 4
 
0.5%
시립)도담 4
 
0.5%
행복한지역아동센터 4
 
0.5%
사랑지역아동센터 4
 
0.5%
드림지역아동센터 4
 
0.5%
온누리지역아동센터 4
 
0.5%
어울림지역아동센터 3
 
0.4%
Other values (708) 776
90.8%
2024-03-13T09:00:47.168294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 807
 
10.7%
아 802
 
10.6%
터 797
 
10.6%
지 782
 
10.4%
센 760
 
10.1%
역 757
 
10.0%
78
 
1.0%
꿈 68
 
0.9%
리 61
 
0.8%
사 56
 
0.7%
Other values (397) 2585
34.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7384
97.8%
Space Separator 78
 
1.0%
Uppercase Letter 42
 
0.6%
Close Punctuation 12
 
0.2%
Lowercase Letter 12
 
0.2%
Open Punctuation 10
 
0.1%
Decimal Number 10
 
0.1%
Other Punctuation 4
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 807
 
10.9%
아 802
 
10.9%
터 797
 
10.8%
지 782
 
10.6%
센 760
 
10.3%
역 757
 
10.3%
꿈 68
 
0.9%
리 61
 
0.8%
사 56
 
0.8%
한 51
 
0.7%
Other values (364) 2443
33.1%
Uppercase Letter
ValueCountFrequency (%)
L 15
35.7%
H 15
35.7%
C 3
 
7.1%
T 2
 
4.8%
D 2
 
4.8%
R 1
 
2.4%
J 1
 
2.4%
Y 1
 
2.4%
W 1
 
2.4%
A 1
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
p 2
16.7%
e 2
16.7%
a 2
16.7%
i 1
8.3%
y 1
8.3%
o 1
8.3%
r 1
8.3%
m 1
8.3%
h 1
8.3%
Decimal Number
ValueCountFrequency (%)
1 3
30.0%
3 2
20.0%
2 2
20.0%
5 1
 
10.0%
6 1
 
10.0%
8 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 1
25.0%
& 1
25.0%
? 1
25.0%
. 1
25.0%
Space Separator
ValueCountFrequency (%)
78
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7384
97.8%
Common 115
 
1.5%
Latin 54
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 807
 
10.9%
아 802
 
10.9%
터 797
 
10.8%
지 782
 
10.6%
센 760
 
10.3%
역 757
 
10.3%
꿈 68
 
0.9%
리 61
 
0.8%
사 56
 
0.8%
한 51
 
0.7%
Other values (364) 2443
33.1%
Latin
ValueCountFrequency (%)
L 15
27.8%
H 15
27.8%
C 3
 
5.6%
p 2
 
3.7%
T 2
 
3.7%
D 2
 
3.7%
e 2
 
3.7%
a 2
 
3.7%
R 1
 
1.9%
i 1
 
1.9%
Other values (9) 9
16.7%
Common
ValueCountFrequency (%)
78
67.8%
) 12
 
10.4%
( 10
 
8.7%
1 3
 
2.6%
3 2
 
1.7%
2 2
 
1.7%
5 1
 
0.9%
6 1
 
0.9%
, 1
 
0.9%
& 1
 
0.9%
Other values (4) 4
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7384
97.8%
ASCII 169
 
2.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 807
 
10.9%
아 802
 
10.9%
터 797
 
10.8%
지 782
 
10.6%
센 760
 
10.3%
역 757
 
10.3%
꿈 68
 
0.9%
리 61
 
0.8%
사 56
 
0.8%
한 51
 
0.7%
Other values (364) 2443
33.1%
ASCII
ValueCountFrequency (%)
78
46.2%
L 15
 
8.9%
H 15
 
8.9%
) 12
 
7.1%
( 10
 
5.9%
1 3
 
1.8%
C 3
 
1.8%
p 2
 
1.2%
3 2
 
1.2%
T 2
 
1.2%
Other values (23) 27
 
16.0%

복지시설전화번호
Text

Distinct773
Distinct (%)99.9%
Missing3
Missing (%)0.4%
Memory size6.2 KiB
2024-03-13T09:00:47.388791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.104651
Min length11

Characters and Unicode

Total characters9369
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

Unique772 ?
Unique (%)99.7%

Sample

1st row031-585-0477
2nd row031-584-5963
3rd row031-584-9459
4th row070-7404-2722
5th row031-977-4454
ValueCountFrequency (%)
070-7772-7956 2
 
0.3%
031-638-9191 1
 
0.1%
031-441-6734 1
 
0.1%
031-585-0477 1
 
0.1%
031-473-0992 1
 
0.1%
031-471-9511 1
 
0.1%
031-381-4037 1
 
0.1%
031-449-2873 1
 
0.1%
031-442-5241 1
 
0.1%
031-427-7175 1
 
0.1%
Other values (763) 763
98.6%
2024-03-13T09:00:47.687064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1548
16.5%
0 1300
13.9%
1 1208
12.9%
3 1171
12.5%
7 683
7.3%
2 652
7.0%
5 592
 
6.3%
9 573
 
6.1%
8 551
 
5.9%
4 548
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7821
83.5%
Dash Punctuation 1548
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1300
16.6%
1 1208
15.4%
3 1171
15.0%
7 683
8.7%
2 652
8.3%
5 592
7.6%
9 573
7.3%
8 551
7.0%
4 548
7.0%
6 543
6.9%
Dash Punctuation
ValueCountFrequency (%)
- 1548
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9369
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1548
16.5%
0 1300
13.9%
1 1208
12.9%
3 1171
12.5%
7 683
7.3%
2 652
7.0%
5 592
 
6.3%
9 573
 
6.1%
8 551
 
5.9%
4 548
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9369
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1548
16.5%
0 1300
13.9%
1 1208
12.9%
3 1171
12.5%
7 683
7.3%
2 652
7.0%
5 592
 
6.3%
9 573
 
6.1%
8 551
 
5.9%
4 548
 
5.8%

시설정원(명)
Real number (ℝ)

Distinct32
Distinct (%)4.1%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean30.608247
Minimum11
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2024-03-13T09:00:47.795038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile19
Q125
median29
Q335
95-th percentile49
Maximum49
Range38
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.3331369
Coefficient of variation (CV)0.27225136
Kurtosis-0.21451676
Mean30.608247
Median Absolute Deviation (MAD)6
Skewness0.46712215
Sum23752
Variance69.441171
MonotonicityNot monotonic
2024-03-13T09:00:47.909122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
29 237
30.5%
19 136
17.5%
35 71
 
9.1%
49 49
 
6.3%
25 47
 
6.0%
40 31
 
4.0%
33 27
 
3.5%
36 21
 
2.7%
45 16
 
2.1%
39 14
 
1.8%
Other values (22) 127
16.3%
ValueCountFrequency (%)
11 1
 
0.1%
15 2
 
0.3%
19 136
17.5%
20 2
 
0.3%
21 3
 
0.4%
23 9
 
1.2%
24 7
 
0.9%
25 47
 
6.0%
26 10
 
1.3%
27 4
 
0.5%
ValueCountFrequency (%)
49 49
6.3%
48 2
 
0.3%
47 2
 
0.3%
46 3
 
0.4%
45 16
 
2.1%
44 3
 
0.4%
43 4
 
0.5%
42 3
 
0.4%
41 4
 
0.5%
40 31
4.0%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct678
Distinct (%)89.6%
Missing20
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean14263.596
Minimum10012
Maximum18606
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2024-03-13T09:00:48.018882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10012
5-th percentile10462.4
Q112169
median14405
Q316280
95-th percentile18114
Maximum18606
Range8594
Interquartile range (IQR)4111

Descriptive statistics

Standard deviation2374.2795
Coefficient of variation (CV)0.16645729
Kurtosis-1.0835534
Mean14263.596
Median Absolute Deviation (MAD)2040
Skewness0.036527107
Sum10797542
Variance5637203.1
MonotonicityNot monotonic
2024-03-13T09:00:48.123861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14333 4
 
0.5%
15582 3
 
0.4%
17128 3
 
0.4%
12040 3
 
0.4%
12237 3
 
0.4%
17904 3
 
0.4%
16274 3
 
0.4%
14762 3
 
0.4%
16410 2
 
0.3%
14480 2
 
0.3%
Other values (668) 728
93.7%
(Missing) 20
 
2.6%
ValueCountFrequency (%)
10012 2
0.3%
10013 1
0.1%
10016 1
0.1%
10017 1
0.1%
10024 1
0.1%
10025 1
0.1%
10040 1
0.1%
10056 1
0.1%
10059 2
0.3%
10064 1
0.1%
ValueCountFrequency (%)
18606 1
0.1%
18599 1
0.1%
18566 1
0.1%
18561 1
0.1%
18550 1
0.1%
18537 1
0.1%
18527 1
0.1%
18518 1
0.1%
18516 1
0.1%
18473 1
0.1%

소재지도로명주소
Text

UNIQUE 

Distinct777
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2024-03-13T09:00:48.416813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length43
Mean length24.485199
Min length14

Characters and Unicode

Total characters19025
Distinct characters346
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

Unique777 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 조종면 조종새싹로 49
2nd row경기도 가평군 청평면 잠곡로 22
3rd row경기도 가평군 설악면 탐선길 16
4th row경기도 가평군 가평읍 아랫마장길 16
5th row경기도 고양시 일산동구 고봉로 658번길 13
ValueCountFrequency (%)
경기도 777
 
16.4%
2층 197
 
4.1%
3층 117
 
2.5%
수원시 64
 
1.3%
안산시 64
 
1.3%
남양주시 62
 
1.3%
1층 62
 
1.3%
부천시 57
 
1.2%
성남시 49
 
1.0%
1 46
 
1.0%
Other values (1401) 3252
68.5%
2024-03-13T09:00:48.871253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3970
20.9%
도 819
 
4.3%
시 815
 
4.3%
1 815
 
4.3%
경 810
 
4.3%
기 799
 
4.2%
2 732
 
3.8%
로 691
 
3.6%
3 530
 
2.8%
층 427
 
2.2%
Other values (336) 8617
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11133
58.5%
Space Separator 3970
 
20.9%
Decimal Number 3913
 
20.6%
Uppercase Letter 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 819
 
7.4%
시 815
 
7.3%
경 810
 
7.3%
기 799
 
7.2%
로 691
 
6.2%
층 427
 
3.8%
길 417
 
3.7%
구 337
 
3.0%
번 302
 
2.7%
동 283
 
2.5%
Other values (321) 5433
48.8%
Decimal Number
ValueCountFrequency (%)
1 815
20.8%
2 732
18.7%
3 530
13.5%
0 366
9.4%
4 365
9.3%
5 281
 
7.2%
6 253
 
6.5%
7 207
 
5.3%
8 183
 
4.7%
9 181
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
B 6
66.7%
A 1
 
11.1%
H 1
 
11.1%
L 1
 
11.1%
Space Separator
ValueCountFrequency (%)
3970
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11133
58.5%
Common 7883
41.4%
Latin 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 819
 
7.4%
시 815
 
7.3%
경 810
 
7.3%
기 799
 
7.2%
로 691
 
6.2%
층 427
 
3.8%
길 417
 
3.7%
구 337
 
3.0%
번 302
 
2.7%
동 283
 
2.5%
Other values (321) 5433
48.8%
Common
ValueCountFrequency (%)
3970
50.4%
1 815
 
10.3%
2 732
 
9.3%
3 530
 
6.7%
0 366
 
4.6%
4 365
 
4.6%
5 281
 
3.6%
6 253
 
3.2%
7 207
 
2.6%
8 183
 
2.3%
Latin
ValueCountFrequency (%)
B 6
66.7%
A 1
 
11.1%
H 1
 
11.1%
L 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11133
58.5%
ASCII 7892
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3970
50.3%
1 815
 
10.3%
2 732
 
9.3%
3 530
 
6.7%
0 366
 
4.6%
4 365
 
4.6%
5 281
 
3.6%
6 253
 
3.2%
7 207
 
2.6%
8 183
 
2.3%
Other values (5) 190
 
2.4%
Hangul
ValueCountFrequency (%)
도 819
 
7.4%
시 815
 
7.3%
경 810
 
7.3%
기 799
 
7.2%
로 691
 
6.2%
층 427
 
3.8%
길 417
 
3.7%
구 337
 
3.0%
번 302
 
2.7%
동 283
 
2.5%
Other values (321) 5433
48.8%

소재지지번주소
Text

MISSING 

Distinct643
Distinct (%)100.0%
Missing134
Missing (%)17.2%
Memory size6.2 KiB
2024-03-13T09:00:49.121312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length44
Mean length27.125972
Min length17

Characters and Unicode

Total characters17442
Distinct characters322
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique643 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 조종면 현리 232-3번지
2nd row경기도 가평군 청평면 청평리 403-7번지
3rd row경기도 가평군 설악면 선촌리 443-4번지
4th row경기도 가평군 가평읍 마장리 747번지
5th row경기도 고양시 일산동구 성석동 1082-27번지
ValueCountFrequency (%)
경기도 643
 
16.8%
2층 179
 
4.7%
3층 106
 
2.8%
안산시 61
 
1.6%
수원시 50
 
1.3%
부천시 49
 
1.3%
성남시 48
 
1.3%
1층 44
 
1.1%
남양주시 42
 
1.1%
상록구 38
 
1.0%
Other values (1342) 2570
67.1%
2024-03-13T09:00:49.487783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3187
 
18.3%
1 712
 
4.1%
지 708
 
4.1%
시 678
 
3.9%
도 668
 
3.8%
동 663
 
3.8%
기 659
 
3.8%
경 648
 
3.7%
번 642
 
3.7%
2 607
 
3.5%
Other values (312) 8270
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10122
58.0%
Decimal Number 3647
 
20.9%
Space Separator 3187
 
18.3%
Dash Punctuation 471
 
2.7%
Uppercase Letter 15
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 708
 
7.0%
시 678
 
6.7%
도 668
 
6.6%
동 663
 
6.6%
기 659
 
6.5%
경 648
 
6.4%
번 642
 
6.3%
층 372
 
3.7%
구 304
 
3.0%
양 158
 
1.6%
Other values (294) 4622
45.7%
Decimal Number
ValueCountFrequency (%)
1 712
19.5%
2 607
16.6%
3 477
13.1%
0 351
9.6%
4 328
9.0%
5 268
 
7.3%
6 259
 
7.1%
7 236
 
6.5%
9 205
 
5.6%
8 204
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
B 6
40.0%
H 3
20.0%
E 2
 
13.3%
L 2
 
13.3%
A 1
 
6.7%
C 1
 
6.7%
Space Separator
ValueCountFrequency (%)
3187
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 471
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10122
58.0%
Common 7305
41.9%
Latin 15
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 708
 
7.0%
시 678
 
6.7%
도 668
 
6.6%
동 663
 
6.6%
기 659
 
6.5%
경 648
 
6.4%
번 642
 
6.3%
층 372
 
3.7%
구 304
 
3.0%
양 158
 
1.6%
Other values (294) 4622
45.7%
Common
ValueCountFrequency (%)
3187
43.6%
1 712
 
9.7%
2 607
 
8.3%
3 477
 
6.5%
- 471
 
6.4%
0 351
 
4.8%
4 328
 
4.5%
5 268
 
3.7%
6 259
 
3.5%
7 236
 
3.2%
Other values (2) 409
 
5.6%
Latin
ValueCountFrequency (%)
B 6
40.0%
H 3
20.0%
E 2
 
13.3%
L 2
 
13.3%
A 1
 
6.7%
C 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10122
58.0%
ASCII 7320
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3187
43.5%
1 712
 
9.7%
2 607
 
8.3%
3 477
 
6.5%
- 471
 
6.4%
0 351
 
4.8%
4 328
 
4.5%
5 268
 
3.7%
6 259
 
3.5%
7 236
 
3.2%
Other values (8) 424
 
5.8%
Hangul
ValueCountFrequency (%)
지 708
 
7.0%
시 678
 
6.7%
도 668
 
6.6%
동 663
 
6.6%
기 659
 
6.5%
경 648
 
6.4%
번 642
 
6.3%
층 372
 
3.7%
구 304
 
3.0%
양 158
 
1.6%
Other values (294) 4622
45.7%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct642
Distinct (%)99.8%
Missing134
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean37.43896
Minimum36.93646
Maximum38.099776
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2024-03-13T09:00:49.804106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.93646
5-th percentile37.024578
Q137.295626
median37.421579
Q337.603786
95-th percentile37.822838
Maximum38.099776
Range1.1633158
Interquartile range (IQR)0.30815935

Descriptive statistics

Standard deviation0.21744867
Coefficient of variation (CV)0.0058080853
Kurtosis-0.22496264
Mean37.43896
Median Absolute Deviation (MAD)0.13600784
Skewness0.11158787
Sum24073.251
Variance0.047283926
MonotonicityNot monotonic
2024-03-13T09:00:49.912019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.6350573551 2
 
0.3%
37.3851997639 1
 
0.1%
37.3693877004 1
 
0.1%
37.406737698 1
 
0.1%
37.405516552 1
 
0.1%
37.3843096355 1
 
0.1%
37.3890297347 1
 
0.1%
37.3649606248 1
 
0.1%
37.4054236418 1
 
0.1%
37.3917697675 1
 
0.1%
Other values (632) 632
81.3%
(Missing) 134
 
17.2%
ValueCountFrequency (%)
36.9364602553 1
0.1%
36.9450071841 1
0.1%
36.9477405787 1
0.1%
36.9493007686 1
0.1%
36.9564826598 1
0.1%
36.9630625383 1
0.1%
36.9638215972 1
0.1%
36.9640372633 1
0.1%
36.9764165429 1
0.1%
36.9789601868 1
0.1%
ValueCountFrequency (%)
38.0997760626 1
0.1%
37.9649079412 1
0.1%
37.9566871192 1
0.1%
37.952905978 1
0.1%
37.9242584798 1
0.1%
37.9182684957 1
0.1%
37.9132585805 1
0.1%
37.9086972179 1
0.1%
37.9073461186 1
0.1%
37.8985117142 1
0.1%

WGS84경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct642
Distinct (%)99.8%
Missing134
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean127.00346
Minimum126.55371
Maximum127.69221
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2024-03-13T09:00:50.019044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.55371
5-th percentile126.75421
Q1126.84635
median126.99556
Q3127.13904
95-th percentile127.3169
Maximum127.69221
Range1.1385056
Interquartile range (IQR)0.29269037

Descriptive statistics

Standard deviation0.1954399
Coefficient of variation (CV)0.001538855
Kurtosis0.45385607
Mean127.00346
Median Absolute Deviation (MAD)0.1458595
Skewness0.60286563
Sum81663.222
Variance0.038196754
MonotonicityNot monotonic
2024-03-13T09:00:50.124942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.2124244679 2
 
0.3%
126.9482612 1
 
0.1%
126.9575813904 1
 
0.1%
126.8974146481 1
 
0.1%
126.9501686942 1
 
0.1%
126.9297310863 1
 
0.1%
126.9309605589 1
 
0.1%
126.959262045 1
 
0.1%
126.9554121627 1
 
0.1%
126.9346904697 1
 
0.1%
Other values (632) 632
81.3%
(Missing) 134
 
17.2%
ValueCountFrequency (%)
126.5537060514 1
0.1%
126.5580754201 1
0.1%
126.5829862284 1
0.1%
126.6019270067 1
0.1%
126.623439457 1
0.1%
126.6242318988 1
0.1%
126.6246356402 1
0.1%
126.6398083961 1
0.1%
126.6501762863 1
0.1%
126.6599259719 1
0.1%
ValueCountFrequency (%)
127.6922116931 1
0.1%
127.6488947606 1
0.1%
127.6386436326 1
0.1%
127.6384547077 1
0.1%
127.6310205203 1
0.1%
127.6297605218 1
0.1%
127.6289042224 1
0.1%
127.6279946814 1
0.1%
127.5937594946 1
0.1%
127.5059344951 1
0.1%

Interactions

2024-03-13T09:00:45.870831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:00:44.976993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:00:45.272512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:00:45.547766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:00:45.947299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:00:45.057357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:00:45.348427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:00:45.646192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:00:46.014401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:00:45.127495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:00:45.412806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:00:45.732631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:00:46.090344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:00:45.200292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:00:45.479697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:00:45.800034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T09:00:50.194609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명시설정원(명)소재지우편번호WGS84위도WGS84경도
시군명1.0000.4490.9930.9710.941
시설정원(명)0.4491.0000.3250.2810.173
소재지우편번호0.9930.3251.0000.9140.873
WGS84위도0.9710.2810.9141.0000.659
WGS84경도0.9410.1730.8730.6591.000
2024-03-13T09:00:50.269583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설정원(명)소재지우편번호WGS84위도WGS84경도시군명
시설정원(명)1.0000.029-0.020-0.0530.174
소재지우편번호0.0291.000-0.9230.0070.928
WGS84위도-0.020-0.9231.000-0.0810.804
WGS84경도-0.0530.007-0.0811.0000.694
시군명0.1740.9280.8040.6941.000

Missing values

2024-03-13T09:00:46.184003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T09:00:46.314137image/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.
2024-03-13T09:00:46.443268image/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

집계일자시군명시설명복지시설전화번호시설정원(명)소재지우편번호소재지도로명주소소재지지번주소WGS84위도WGS84경도
02023-12-31가평군경기도 또래지역아동센터031-585-04772912437경기도 가평군 조종면 조종새싹로 49경기도 가평군 조종면 현리 232-3번지37.822968127.348548
12023-12-31가평군경기도 청평지역아동센터031-584-59632912453경기도 가평군 청평면 잠곡로 22경기도 가평군 청평면 청평리 403-7번지37.736899127.421155
22023-12-31가평군경기도 설악지역아동센터031-584-94591912466경기도 가평군 설악면 탐선길 16경기도 가평군 설악면 선촌리 443-4번지37.676165127.481277
32023-12-31가평군경기도 가평지역아동센터070-7404-27224012409경기도 가평군 가평읍 아랫마장길 16경기도 가평군 가평읍 마장리 747번지37.843948127.504126
42023-12-31고양시맑은샘지역아동센터031-977-44542910251경기도 고양시 일산동구 고봉로 658번길 13경기도 고양시 일산동구 성석동 1082-27번지37.715616126.789983
52023-12-31고양시아가페지역아동센터031-908-92322910417경기도 고양시 일산동구 경의로 309 201호경기도 고양시 일산동구 마두동 745번지 백마상가 201호37.657448126.793507
62023-12-31고양시주향지역아동센터031-902-91831910308경기도 고양시 일산동구 고풍로 20 에이스아파트상가 2층경기도 고양시 일산동구 풍동 385-1번지 에이스아파트 상가 2층37.661907126.797626
72023-12-31고양시한사랑푸른지역아동센터031-962-80621910260경기도 고양시 일산동구 성현로 505경기도 고양시 일산동구 사리현동 452-21번지37.697684126.838635
82023-12-31고양시다메섹지역아동센터031-925-16902510383경기도 고양시 일산서구 호수로856번길 37 13 3층<NA><NA><NA>
92023-12-31고양시쉴가지역아동센터070-4307-06922510368경기도 고양시 일산서구 성저로 74 3층경기도 고양시 일산서구 대화동 2072-11번지 3층37.685082126.755309
집계일자시군명시설명복지시설전화번호시설정원(명)소재지우편번호소재지도로명주소소재지지번주소WGS84위도WGS84경도
7672023-12-31화성시초록나무지역아동센터070-8658-34941918297경기도 화성시 봉담읍 수영로82번길 4 201동 1층 102호 신창비바패밀리2단지아파트경기도 화성시 봉담읍 수영리 673번지 신창비바패밀리2단지아파트 201동 1층 102호37.237349126.952779
7682023-12-31화성시우리꿈지역아동센터031-222-35044018382경기도 화성시 효행로 1344 8경기도 화성시 반월동 452-2번지 837.227448127.065012
7692023-12-31화성시안녕지역아동센터031-223-42521918413경기도 화성시 병점1로 65 115동 104호 병점동 늘벗마을 신창1차아파트경기도 화성시 병점동 817번지 늘벗마을신창1차아파트 115동 104호37.204849127.040981
7702023-12-31화성시아름다운지역아동센터031-223-47093618385경기도 화성시 효행로 1205 67<NA><NA><NA>
7712023-12-31화성시두리하나지역아동센터031-356-77612518258경기도 화성시 남양읍 남양시장로 45 2층경기도 화성시 남양읍 남양리 556번지 2층37.208919126.814266
7722023-12-31화성시동탄행복한지역아동센터031-613-01772918423경기도 화성시 동탄원천로 338 10 702동경기도 화성시 능동 1066-5번지 10 702동37.217148127.058636
7732023-12-31화성시동산지역아동센터031-223-39961918324경기도 화성시 효행로414번길 35경기도 화성시 안녕동 180-28번지37.209751126.981548
7742023-12-31화성시기안지역아동센터031-226-93871518337경기도 화성시 효행로 229 18<NA><NA><NA>
7752023-12-31화성시LH행복꿈터나눔지역아동센터031-375-01612918473경기도 화성시 동탄순환대로24길 101 424동 1층경기도 화성시 영천동 722번지 동탄2LH4단지 424동 1층37.20723127.123077
7762023-12-31화성시LH행복꿈터에스라지역아동센터031-8059-11164418606경기도 화성시 향남읍 상신하길로356번길 15 관리동 2층 서봉마을1단지아파트경기도 화성시 향남읍 하길리 1444번지 서봉마을1단지아파트 2층 관리동37.119667126.914387